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CN115903537A - Enterprise energy monitoring and analyzing system based on Internet - Google Patents

Enterprise energy monitoring and analyzing system based on Internet
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Publication number
CN115903537A
CN115903537ACN202310032092.0ACN202310032092ACN115903537ACN 115903537 ACN115903537 ACN 115903537ACN 202310032092 ACN202310032092 ACN 202310032092ACN 115903537 ACN115903537 ACN 115903537A
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temperature
time
preset
water heater
data information
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CN115903537B (en
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陈毅帆
孙二军
尹金鸣
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Cotell Intelligent Technology Shenzhen Co ltd
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Cotell Intelligent Technology Shenzhen Co ltd
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Abstract

The invention discloses an enterprise energy monitoring and analyzing system based on the Internet, which aims to solve the problem that the power energy waste of an enterprise industrial area is increased due to the continuous operation of cooling equipment of the existing enterprise industrial area; comprises an energy acquisition module; the invention establishes a dynamic coordinate system for the operating temperature and the operating time of the heating element of the workshop production equipment, dynamically monitors the operating state of the heating element of the workshop production equipment, and sets corresponding cooling levels according to different operating states of the heating element of the workshop production equipment, thereby achieving the effect of saving electric energy resources.

Description

Enterprise energy monitoring and analyzing system based on Internet
Technical Field
The invention relates to the technical field of enterprise energy monitoring and analysis, in particular to an enterprise energy monitoring and analysis system based on the Internet.
Background
At present, most enterprises only operate workshop production equipment heating elements in industrial areas of enterprises, cooling equipment is always in a working state, the electric energy consumption of the enterprises is greatly increased, and meanwhile, living areas of the enterprises do not have energy monitoring and analyzing systems, so that the waste of electric energy resources is serious.
Disclosure of Invention
The invention aims to provide an enterprise energy monitoring and analyzing system based on the Internet, aiming at solving the problem that the existing cooling equipment of an enterprise industrial area continuously operates to increase the waste of electric energy of the enterprise industrial area.
The purpose of the invention can be realized by the following technical scheme: an internet-based enterprise energy monitoring and analysis system, comprising:
the energy acquisition module is used for acquiring industrial data information of an enterprise industrial area and life data information of an enterprise living area and sending the industrial data information and the life data information to the cloud server through the Internet, and the cloud server receives and stores the data information; the industrial data information comprises the operating temperature of heating elements of workshop production equipment and the cooling grade of cooling equipment, wherein the cooling grade is divided into three grades of primary cooling, secondary cooling and tertiary cooling.
The remote monitoring terminal is used for calling the industrial data information stored in the cloud server and analyzing and operating the industrial data information, and the specific steps are as follows:
capturing a heating element of workshop production equipment within a period of time in real time, taking the time as an abscissa and the temperature as an ordinate, establishing an element operating temperature dynamic coordinate system according to the time, and analyzing the element operating temperature condition within a period of time; setting a first reference line, a second reference line and a third reference line, and respectively substituting the operation temperature and the operation time into an element operation temperature dynamic coordinate system;
s1: when the operation temperature is between the first reference line and the second reference line, the operation temperature corresponding to the operation time point is defined as the economic temperature; generating a standby instruction at the moment, and enabling the cooling equipment to enter a standby state;
s2: when the operation temperature is between the second reference line and the third reference line, the operation temperature corresponding to the operation time point is defined as the overload temperature; generating a cooling instruction at the moment, and enabling the cooling equipment to enter an operating state; the method comprises the steps of periodically reading N operating temperatures in a period of time, connecting two adjacent operating temperatures, calculating the slope of each connecting line, and marking the slope as Km (i), wherein i is the slope number of the connecting lines, calculating the average value of N-1 slopes to obtain the slope average value Kp, setting a first slope reference value T1, a second slope reference value T2, a third slope reference value T3 and a fourth slope reference value T4 of the slope average value, and if the slope average value is positioned between T1 and T2, generating a primary cooling instruction which controls cooling equipment to execute primary cooling operation; if the slope average value is between T2 and T3, generating a secondary cooling instruction, and controlling cooling equipment to execute secondary cooling operation by the secondary cooling instruction; if the slope average value is between T3 and T4, generating a three-level cooling instruction, and controlling the cooling equipment to execute three-level cooling operation by the three-level cooling instruction;
s3: when the operation temperature exceeds a third reference line, directly executing three-stage cooling operation, after a certain time, reading X operation temperatures in a period of time, connecting two adjacent operation temperatures, marking the two adjacent operation temperatures as Kf (d), wherein d is the slope number of the connecting line, calculating X-1 slopes, performing difference analysis on the two slopes of the adjacent connecting line, marking the slope of the previous line segment of the adjacent connecting line as K1, marking the slope of the next line segment of the adjacent connecting line as K2, obtaining a slope difference KC according to a formula KC = K2-K1, performing summation analysis on X-2 slope differences to obtain a slope difference total value, and when the slope difference total value is a positive value, generating a shutdown instruction and controlling the heating element of the workshop production equipment to enter a shutdown state.
As a preferred embodiment of the present invention, the remote monitoring terminal further comprises an analysis module and an execution module;
respectively analyzing the indoor current electric power energy consumption data and the indoor temperature, specifically:
comparing the electric power energy consumption data with a standby energy consumption threshold, calling the living information of the resident in the current time period if the current electric power energy consumption data is higher than the standby energy consumption threshold, judging whether the resident exists in the room in the current time period according to the living information logged by the resident, sending a judgment signaling to a remote monitoring terminal if the living information shows that the resident does not exist in the room, sending an inquiry prompt message to an intelligent terminal of the resident by the remote monitoring terminal, receiving an inquiry result fed back by the resident through the intelligent terminal, and judging whether the inquiry result is indoor or not;
when the inquiry result is that the mobile terminal is not indoors, generating a power-off instruction and sending the power-off instruction to the execution module; and after receiving the power-off instruction, the execution module controls the corresponding common electric equipment to power off.
As a preferred embodiment of the present invention, the specific steps of the execution module for performing the power-off processing are:
and (4) SS1: directly carrying out power-off treatment on common electric equipment; wherein, the common electric equipment comprises an indoor illuminating lamp, a television and computer equipment;
and (4) SS2: analyzing indoor preset electric equipment; the indoor preset electric equipment comprises a refrigerator and a water heater; analyzing the food storage information in the refrigerator, and if no food exists in the refrigerator at present, directly performing power-off processing on the refrigerator by using an execution module; if food exists in the refrigerator at present, shooting the food and transmitting the shot picture information to a remote monitoring terminal, and comparing the shot food picture with a preset picture library by the remote monitoring terminal to obtain the classification of the food; if the food is classified into meat products or easily-deteriorated products at normal temperature, the power-off instruction is not executed; if the food in the refrigerator is classified as a product which is not easy to deteriorate and has a long storage time in a normal temperature environment, the power-off instruction is executed.
As a preferred embodiment of the present invention, the specific implementation steps of the execution module on the water heater are as follows:
SSS1: analyzing the total water consumption of the water heater within one week, calculating the average value of the water consumption used by the household each time to obtain the average daily water consumption of the household, and setting the average daily water consumption as the preset daily water consumption of the water heater; if the water storage amount of the water heater is smaller than the daily preset water consumption, the execution module controls a valve body of the water heater to supplement water until the water storage amount of the water heater is matched within the set range of the daily preset water consumption, and at the moment, the execution module closes the valve body;
SSS2: calling a resident working time period and dividing the resident working time period into a standby time period and a heating time period, wherein the heating time period is one hour before a resident leisure time period, and when the water heater is in the standby time period, the execution module executes power-off processing on the water heater; when the water heater is in the heating time period, the execution module executes a heating instruction to the water heater, and the specific process is as follows: the execution module receives a water temperature value in the water heater, converts the water temperature value according to a certain proportion to obtain heating time required when the water temperature value in the water heater reaches a preset temperature value, controls the water heater to start heating, enables the water temperature value in the water heater to be matched with the range of the preset temperature value, reduces the power of the water heater after the water temperature value in the water heater reaches the preset temperature value, keeps the water temperature value in the water heater floating within the range of the preset temperature value, controls the water heater to heat again if the water temperature value of the water heater is lower than the floating range of the preset temperature value, and reduces the power of the water heater again after the water temperature value in the water heater reaches the floating range of the preset temperature value; after the water heater reaches a set temperature value for the first time, setting the time period for maintaining the temperature as a heat preservation time period, and if the heat preservation time period is more than three hours, directly carrying out power-off processing on the water heater by the execution module;
SSS3: calling a resident leisure time period, and simultaneously carrying out water consumption time period of the water heater in the resident leisure time period in one week, wherein when the water heater is in a non-water consumption time period, the execution module directly carries out power-off treatment on the water heater; when the water heater is in a water consumption time period, sending a water consumption inquiry request to an intelligent terminal of a resident, and when an inquiry request result fed back by the resident is received in a preset time range, if the inquiry request result is that water is not used, controlling the water heater to execute power-off processing; if the inquiry request result is the water consumption time, calculating the time difference between the current time and the water consumption time to obtain standby time, and acquiring a preset time threshold value required by heating the water heater to the preset temperature of the residents; comparing the standby time length with a preset time length threshold, and calculating a time length difference value between the standby time length and the preset time length threshold to obtain the power-off time length when the standby time length is greater than the preset time length threshold;
acquiring the electric quantity required by the water heater when the water heater is heated to the preset temperature of a resident and is insulated to the water using time and marking the electric quantity as Q1; calculating the electric quantity required by the water heater to heat to the preset temperature of the resident and marking the electric quantity as Q2;
when Q2 is less than Q1, controlling the water heater to execute power-off processing, and when the difference value between the current moment and the water using moment is equal to a preset time length threshold value, controlling the water heater to execute power-on and heat to the preset temperature of a resident; if not, the power-off operation is not carried out;
when an inquiry request result fed back by a resident is not received within a preset time range, directly controlling the water heater to perform power-off operation;
when the inquiry result is in the room, calling the number of people living in the current time period and the indoor temperature, comparing the indoor temperature with the preset living temperature, and when the indoor temperature is higher than the preset living temperature, generating a temperature reduction instruction and sending the temperature reduction instruction to the execution module; when the indoor temperature is lower than the preset dwelling temperature, generating a temperature rise instruction and sending the temperature rise instruction to an execution module; and the execution module receives and processes the power-off instruction, the temperature reduction instruction and the temperature increase instruction.
As a preferred embodiment of the present invention, the common activity area of each floor is divided into a plurality of activity areas, the number of people in each activity area is collected, and an activity judgment signal is generated, and the specific steps are as follows:
SSSS1: dividing the public activity area of each floor into a plurality of activity areas, collecting the number of people in each activity area, and generating a first positive signal if the number of people is more than 0; if the number of people is equal to 0, generating a second negative signal;
SSSS2: comparing the illuminance value of floor lighting at the current time point with a preset illuminance value, and generating a second negative signal when the illuminance value of floor lighting is greater than the preset illuminance value; when the illuminance value of the floor lighting is less than or equal to the preset illuminance value, generating a second positive signal;
SSSS3: and if the first positive signal and the second positive signal occur simultaneously, generating an electrifying signaling, acquiring a floor lighting illumination value and a preset illumination value at a corresponding time point according to the electrifying signaling, performing differential analysis on the floor lighting illumination value and the preset illumination value to obtain an illumination difference value, increasing the illumination of the corresponding activity area by a P illumination value according to the illumination difference value, wherein the P illumination value is equal to the absolute value of the illumination difference value, and calculating the supplementary illumination of each illuminating lamp of the activity area.
As a preferred embodiment of the present invention, the remote detection terminal further includes an energy saving module, the energy saving module is configured to receive the scheme instruction sent by the analysis module and send the scheme instruction to the remote monitoring terminal, the remote monitoring terminal sends the operation instruction to the execution module, and the energy saving module stores the corresponding scheme in the cloud server.
As a preferred embodiment of the present invention, the cloud server is configured to receive and store industrial data information and life data information; and a classification management unit is also arranged in the cloud server and is used for carrying out classification management on the industrial data information and the life data information.
As a preferred embodiment of the present invention, the specific process of the classification management unit performing classification management is as follows:
setting a plurality of classification categories, wherein each classification category corresponds to a plurality of subjects; the subjects comprise the operation temperature, the cooling grade, the water consumption of the water heater each time, the total water consumption in one week, the power consumption degree and the like; matching the industrial data information and the life data information with all subjects, and classifying the industrial data information and the life data information into corresponding classification categories when the industrial data information and the life data information belong to the corresponding subjects, wherein each classification category is preset to correspond to a preset storage duration;
and counting the initial time when the industrial data information and the life data information are correspondingly stored in the cloud server. And calculating the time difference between the initial time and the current time to obtain the stored time, and deleting the industrial data information and the life data information when the stored time is equal to the preset stored time.
As a preferred embodiment of the present invention, the cloud server further includes an encryption unit, and the encryption unit is configured to encrypt industrial data information and life data information of a preset subject.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention establishes a dynamic coordinate system for the operating temperature and the operating time of the heating element of the workshop production equipment, dynamically monitors the operating state of the heating element of the workshop production equipment, and sets corresponding cooling levels according to different operating states of the heating element of the workshop production equipment, thereby achieving the effect of saving electric energy resources.
2. According to the invention, through monitoring the power consumption of the enterprise living area in real time, when no person moves in a room, the electric equipment in the room is analyzed, and electric appliances which do not need to work are turned off in time, so that the loss of power energy is reduced, meanwhile, the illumination of the floor illuminating lamp is automatically adjusted according to the external illumination intensity, the illuminating lamp is prevented from continuously working under the condition of no person moving, and meanwhile, the illuminating lamp is prevented from continuously working at a certain illumination, so that the effect of saving energy is achieved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
FIG. 2 is a block diagram of a remote monitoring terminal of the present invention;
FIG. 3 is a block diagram illustrating the flow of a power down command according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an enterprise energy monitoring and analyzing system based on the internet includes an energy collecting module, a cloud server and a remote monitoring terminal;
the energy collection module collects industrial data information of an enterprise industrial area and life data information of an enterprise living area and sends the industrial data information and the life data information to the cloud server through the Internet, and the cloud server receives and stores the data information; the industrial data information comprises the operating temperature of heating elements of workshop production equipment and the cooling grade of cooling equipment, wherein the cooling grade is divided into three grades of primary cooling, secondary cooling and tertiary cooling.
The remote monitoring terminal calls industrial data information and carries out analysis operation on the industrial data information, and the method specifically comprises the following steps:
capturing a heating element of workshop production equipment within a period of time in real time, taking the time as an abscissa and the temperature as an ordinate, establishing an element operating temperature dynamic coordinate system according to the time, and analyzing the element operating temperature condition within a period of time; setting a first reference line, a second reference line and a third reference line, and respectively substituting the operation temperature and the operation time into an element operation temperature dynamic coordinate system;
s1: when the operation temperature is between the first reference line and the second reference line, the operation temperature corresponding to the operation time point is marked as the economic temperature; generating a standby instruction at the moment, and enabling the cooling equipment to enter a standby state;
s2: when the operation temperature is between the second reference line and the third reference line, the operation temperature corresponding to the operation time point is defined as the overload temperature; generating a cooling instruction at the moment, and enabling the cooling equipment to enter an operating state; periodically reading N operating temperatures in a period of time, connecting two adjacent operating temperatures, calculating the slope of each connecting line, and marking the slope as Km (i), wherein i is the slope number of the connecting line, and the formula is used for calculating the slope of each connecting line
Figure 878913DEST_PATH_IMAGE001
Calculating the average value of N-1 slopes to obtain slope average value Kp, and setting the first slope reference value T1, the second slope reference value T2, the third slope reference value T3 and the third slope reference value T3 of the slope average valueIf the average value of the slopes is between T1 and T2, generating a first-stage cooling instruction, and controlling cooling equipment to execute a first-stage cooling operation by the first-stage cooling instruction; if the slope average value is between T2 and T3, generating a secondary cooling instruction, and controlling the cooling equipment to execute secondary cooling operation by the secondary cooling instruction; if the slope average value is between T3 and T4, generating a three-level cooling instruction, and controlling the cooling equipment to execute three-level cooling operation by the three-level cooling instruction; after cooling operation is performed for a certain time, L running temperatures are read, the slope is calculated through a parallel connection line, the average value of the cooled running temperature slope is analyzed, the corresponding cooling grade is performed according to the analysis result, cooling equipment is prevented from continuously running at a certain frequency, and therefore the effect of saving power resources is achieved; the specific processes of primary cooling operation, primary cooling operation and primary cooling operation are as follows:
the first-stage cooling operation comprises the following specific processes: cooling the heating element of the workshop production equipment by cooling equipment; the cooling speed of the cooling device is a first preset speed, and the cooling device comprises a radiator;
the secondary cooling operation comprises the following specific processes: cooling the heating element of the workshop production equipment by cooling equipment; the cooling speed of the cooling equipment is a second preset speed; the cooling device comprises two radiators;
the specific process of the third-stage cooling operation is as follows: cooling the heating element of the workshop production equipment by cooling equipment; the cooling speed of the cooling equipment is a preset speed III; the cooling apparatus includes a plurality of radiators;
the preset speed I is less than the preset speed II is less than the preset speed III, and corresponding cooling grades are executed according to different operating temperatures, so that the aim of saving energy is fulfilled;
s3: when the operation temperature exceeds a third reference line, directly executing three-stage cooling operation, reading X operation temperatures in a period of time after a certain time, connecting two adjacent operation temperatures, marking the two adjacent operation temperatures as Kf (d), and according to a formula
Figure 934593DEST_PATH_IMAGE002
Wherein d is the slope of the connecting lineThe method comprises the steps of counting the number of the heating elements, calculating X-1 slopes, conducting difference analysis on two slopes of adjacent connecting lines, marking the slope of the previous line segment of the adjacent connecting line as K1, marking the slope of the next line segment of the adjacent connecting line as K2, obtaining a slope difference KC according to a formula KC = K2-K1, conducting summation analysis on the X-2 slope differences to obtain a total slope difference value, generating a shutdown instruction when the total slope difference value is a positive value, controlling the heating elements of workshop production equipment to enter a shutdown state, and avoiding the heating elements of the workshop production equipment from running in an overload mode for a long time and burning out damaged equipment when power resource consumption is aggravated.
Referring to fig. 2-3, the remote monitoring terminal further includes an analysis module and an execution module;
the analysis module is used for analyzing and operating the life data information, and the life data information comprises electric power energy consumption data and indoor temperature data of each floor in each room unit time, lighting brightness data of a floor public activity area and indoor electric equipment data; the indoor electric equipment data comprises food storage information inside the refrigerator, water consumption of the water heater used each time, total water consumption in a week, water consumption time period of the water heater in a resident leisure time period in a resident week, resident working time period and resident leisure time period, wherein the electric energy consumption data is consumption number, and the specific analysis operation steps are as follows:
comparing the electric power energy consumption data with a standby energy consumption threshold, calling the check-in information of the resident in the current time period if the current electric power energy consumption data is higher than the standby energy consumption threshold, judging whether the resident exists in the room in the current time according to the check-in information logged by the resident, sending a judgment signaling to a remote monitoring terminal if the check-in information shows that the resident does not exist in the room, sending an inquiry prompt message to an intelligent terminal of the resident by the remote monitoring terminal, receiving an inquiry result fed back by the resident through the intelligent terminal, and judging whether the inquiry result is indoor or not;
when the inquiry result is that the mobile terminal is not indoors, generating a power-off instruction and sending the power-off instruction to the execution module; and after receiving the power-off instruction, the execution module controls the corresponding common electric equipment to perform power-off processing.
The specific steps of the execution module for performing power-off processing are as follows:
SS1: directly carrying out power-off treatment on common electric equipment; wherein, the common electric equipment comprises an indoor illuminating lamp, a television and computer equipment;
and (4) SS2: analyzing indoor preset electric equipment; the indoor preset electric equipment comprises a refrigerator and a water heater; analyzing the food storage information in the refrigerator, and if no food exists in the refrigerator at present, directly performing power-off processing on the refrigerator by using an execution module; if food exists in the refrigerator at present, shooting the food and transmitting the shot picture information to a remote monitoring terminal, and comparing the shot food picture with a preset picture library by the remote monitoring terminal to obtain the classification of the food; if the food is classified into meat products or easily-deteriorated products at normal temperature, the power-off instruction is not executed; if the food in the refrigerator is classified as a product which is not easy to deteriorate and has a long storage time in a normal temperature environment, the power-off instruction is executed.
The implementation of the execution module on the water heater comprises the following steps:
SSS1: analyzing the total water consumption of the water heater within a week, carrying out average calculation on the water consumption of each time of the resident to obtain the daily average water consumption of the resident, and setting the daily average water consumption as the daily preset water consumption of the water heater; if the water storage amount of the water heater is smaller than the daily preset water consumption, the execution module controls a valve body of the water heater to supplement water until the water storage amount of the water heater is matched within the set range of the daily preset water consumption, and at the moment, the execution module closes the valve body;
SSS2: calling a resident working time period and dividing the resident working time period into a standby time period and a heating time period, wherein the heating time period is one hour before the resident leisure time period, and when the water heater is in the standby time period, the execution module executes power-off processing on the water heater; when the water heater is in the heating time period, the execution module executes a heating instruction to the water heater, and the specific process is as follows: the execution module receives a water temperature value in the water heater, converts the water temperature value according to a certain proportion to obtain heating time required when the water temperature value in the water heater reaches a preset temperature value, controls the water heater to start heating at the same time, enables the water temperature value in the water heater to be matched with the range of the preset temperature value, reduces the power of the water heater after the water temperature value in the water heater reaches the preset temperature value, keeps the water temperature value in the water heater floating within the range of the preset temperature value, controls the water heater to heat again if the water temperature value of the water heater is lower than the floating range of the preset temperature value, and reduces the power of the water heater again after the water temperature value in the water heater reaches the floating range of the preset temperature value; after the water heater reaches a set temperature value for the first time, setting a temperature maintaining time period as a heat preservation time period, and if the heat preservation time period is more than three hours, directly carrying out power-off treatment on the water heater by an execution module;
SSS3: calling a resident leisure time period, and simultaneously carrying out water consumption time period of the water heater in the resident leisure time period in one week, wherein when the water heater is in a non-water consumption time period, the execution module directly carries out power-off treatment on the water heater; when the water heater is in a water consumption time period, sending a water consumption inquiry request to an intelligent terminal of a resident, and when an inquiry request result fed back by the resident is received in a preset time range, if the inquiry request result is that water is not used, controlling the water heater to execute power-off processing; if the inquiry request result is the water consumption time, calculating the time difference between the current time and the water consumption time to obtain standby time, and acquiring a preset time threshold value required by heating the water heater to the preset temperature of the residents; comparing the standby time with a preset time threshold, and when the standby time is greater than the preset time threshold, calculating a time difference between the standby time and the preset time threshold to obtain power-off time;
acquiring the electric quantity required by the water heater when the water heater is heated to the preset temperature of a resident and is insulated until water is used, and marking the electric quantity as Q1; calculating the electric quantity required by the water heater to heat to the preset temperature of the resident and marking the electric quantity as Q2;
when Q2 is less than Q1, controlling the water heater to execute power-off processing, and when the difference value between the current moment and the water using moment is equal to a preset time length threshold value, controlling the water heater to execute power-on and heat to the preset temperature of a resident; if not, the power-off operation is not carried out;
and when the inquiry request result fed back by the resident is not received within the preset time range, directly controlling the water heater to perform power-off operation.
When the inquiry result is in the room, calling the number of people living in and the indoor temperature in the current time period, comparing the indoor temperature with the preset living temperature, and when the indoor temperature is higher than the preset living temperature, generating a temperature reduction instruction and sending the temperature reduction instruction to the execution module; when the indoor temperature is lower than the preset dwelling temperature, generating a temperature rise instruction and sending the temperature rise instruction to an execution module; the execution module receives and processes the power-off command, the temperature reduction command and the temperature increase command, and when the power-off command is received, the indoor air conditioner is controlled to be powered off; when receiving a temperature reduction instruction, controlling an indoor air conditioner to reduce the temperature so that the indoor temperature of the indoor air conditioner is equal to the preset living temperature; and when receiving the temperature increase instruction, controlling the indoor air conditioner to increase the temperature so that the indoor temperature of the indoor air conditioner is equal to the preset residential temperature.
Dividing the public activity area of each floor into a plurality of activity areas, collecting the number of people in each activity area and generating an activity judgment signal, and specifically comprising the following steps:
SSSS1: dividing the public activity area of each floor into a plurality of activity areas, collecting the number of people in each activity area, and generating a first positive signal if the number of people is more than 0; if the number of people is equal to 0, generating a second negative signal;
SSSS2: comparing the illuminance value of floor lighting at the current time point with a preset illuminance value, and generating a second negative signal when the illuminance value of floor lighting is greater than the preset illuminance value; when the lighting illumination value of the floor is less than or equal to the preset illumination value, generating a second positive signal;
SSSS3: if the first positive signal and the second positive signal occur at the same time, generating a power-on signaling, acquiring a floor lighting illumination value and a preset illumination value at a corresponding time point according to the power-on signaling, performing differential analysis on the floor lighting illumination value and the preset illumination value to obtain an illumination difference value, increasing the illumination of a corresponding activity area by P illumination value according to the illumination difference value, wherein the P illumination value is equal to the absolute value of the illumination difference value, and calculating the supplementary lighting illumination Hgu of each lighting lamp according to a formula, wherein S is the number of the lighting lamps in the corresponding activity area.
The cloud server also comprises a classification management unit and an encryption unit;
the classification management unit is used for performing classification management on the industrial data information and the life data information, and setting a plurality of classification categories, wherein each classification category corresponds to a plurality of subjects; for example, the subjects comprise the operation temperature, the cooling grade, the water consumption of the water heater for each use, the total water consumption in one week, the power consumption degree and the like; matching the industrial data information and the life data information with all subjects, and classifying the industrial data information and the life data information into corresponding classification categories when the industrial data information and the life data information belong to the corresponding subjects, wherein each classification category is preset to correspond to a preset storage duration;
and counting the initial time when the industrial data information and the life data information are correspondingly stored in the cloud server. And calculating the time difference between the initial time and the current time to obtain the stored time, and deleting the industrial data information and the life data information when the stored time is equal to the preset stored time.
The Encryption unit encrypts industrial data information and life data information of a preset subject by using a key Algorithm, wherein the Encryption adopts a DES (data Encryption Standard), a 3DES (triple DES), RC2 and RC4, IDEA (International data Encryption Algorithm), RSA, DSA (digital signature Algorithm), AES (advanced Encryption Standard), BLOWFISHElGamal, defffee-Hellman, a novel elliptic curve Algorithm ECC and the like.
When the intelligent refrigerator and water heater power consumption control system is used, the analysis module establishes a dynamic coordinate system for the operating temperature and the operating time of heating elements of workshop production equipment in an enterprise industrial area, dynamically monitors the operating state of the heating elements of the workshop production equipment, formulates corresponding cooling levels according to different operating states of the heating elements of the workshop production equipment, achieves the effect of saving electric energy resources, directly carries out three-level cooling on the heating elements of the workshop production equipment when the heating elements of the workshop production equipment run in an overload mode, directly stops the cooling equipment when the cooling equipment cannot reduce the temperature of the heating elements of the workshop production equipment, prevents the heating elements of the workshop production equipment from being overloaded for a long time to cause burning or damage of the production equipment, carries out real-time monitoring and analysis on electric energy consumption data of an enterprise living area, timely closes common electric equipment under the condition that no person exists indoors, independently monitors the refrigerator and the water heater, intelligently controls the power consumption of the refrigerator and the water heater, achieves the aims of energy conservation and environmental protection, simultaneously adjusts the brightness of an illuminating lamp according to the lighting of an active area and the number of personnel, and timely brightens the illuminating lamp to reduce the power consumption of the electric energy resources under the condition that the lighting lamp is good and the lighting condition that no person exists.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the disclosure herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the specification and claims of this disclosure refers to any and all possible combinations of one or more of the associated listed items and includes such combinations;
the preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (11)

1. An enterprise energy monitoring and analyzing system based on the Internet is characterized by comprising:
the energy acquisition module is used for acquiring industrial data information of an enterprise industrial area and life data information of an enterprise living area and sending the industrial data information and the life data information to the cloud server through the Internet;
the remote monitoring terminal is used for calling the industrial data information stored in the cloud server and analyzing and operating the industrial data information, and the specific steps are as follows:
capturing the operating temperature of a heating element of workshop production equipment in real time, taking time as an abscissa and temperature as an ordinate, establishing an element operating temperature dynamic coordinate system, and analyzing the element operating temperature condition within a period of time; setting a first reference line, a second reference line and a third reference line, and respectively substituting the operation temperature and the operation time into an element operation temperature dynamic coordinate system;
s1: when the operation temperature is between the first reference line and the second reference line, the operation temperature corresponding to the operation time point is defined as the economic temperature; generating a standby instruction at the moment, and enabling the cooling equipment to enter a standby state;
s2: when the operation temperature is between the second reference line and the third reference line, the operation temperature corresponding to the operation time point is defined as the overload temperature; generating a cooling instruction at the moment, and enabling the cooling equipment to enter an operating state; the method comprises the steps of periodically reading N running temperatures in a period of time, connecting two adjacent running temperatures, calculating the slope of each section of connecting line, calculating the average value of N-1 slopes to obtain the average value of the slopes, setting a first slope reference value T1, a second slope reference value T2, a third slope reference value T3 and a fourth slope reference value T4 of the average value of the slopes, and if the average value of the slopes is between T1 and T2, generating a primary cooling instruction which controls cooling equipment to execute primary cooling operation; if the slope average value is between T2 and T3, generating a secondary cooling instruction, and controlling cooling equipment to execute secondary cooling operation by the secondary cooling instruction; if the slope average value is between T3 and T4, generating a three-stage cooling instruction, and controlling cooling equipment to execute three-stage cooling operation by the three-stage cooling instruction;
s3: when the operation temperature exceeds a third reference line, directly executing three-stage cooling operation, reading X operation temperatures in a period of time after a certain time, connecting two adjacent operation temperatures, calculating X-1 slope, performing difference analysis on two slopes of adjacent connecting lines, performing difference analysis on the slope of a previous line segment of the adjacent connecting lines and the slope of a next line segment of the adjacent connecting lines to obtain slope difference, performing summation analysis on X-2 slope differences to obtain a total slope difference value, and when the total slope difference value is a positive value, generating a shutdown instruction and controlling the heating element of the workshop production equipment to enter a shutdown state.
2. The internet-based enterprise energy monitoring and analyzing system of claim 1, wherein the remote monitoring terminal further comprises an analyzing module and an executing module;
the analysis module is used for analyzing the living data information, and the specific analysis operation steps are as follows:
comparing the electric power energy consumption data with a standby energy consumption threshold, calling the check-in information of the resident in the current time period if the current electric power energy consumption data is higher than the standby energy consumption threshold, judging whether the resident exists in the current time period or not according to the check-in information logged by the resident, sending a judgment signaling to a remote monitoring terminal if the check-in information shows that the resident does not exist in the current room, sending an inquiry prompt message to an intelligent terminal of the resident by the remote monitoring terminal, and receiving an inquiry result fed back by the resident through the intelligent terminal;
and when the inquiry result is that the mobile terminal is not indoors, generating a power-off instruction and sending the power-off instruction to the execution module.
3. The internet-based enterprise energy monitoring and analyzing system of claim 2, wherein the specific steps of the execution module performing the power-off processing are as follows:
and (4) SS1: directly carrying out power-off treatment on common electric equipment;
and (4) SS2: analyzing indoor preset electric equipment; analyzing the food storage information in the refrigerator, and if no food exists in the refrigerator at present, directly performing power-off processing on the refrigerator by using an execution module; if food exists in the current refrigerator, classifying the food, and if the food is classified into meat products or easily-deteriorated products at normal temperature, not executing a power-off instruction; if the food in the refrigerator is classified as a product which is not easy to deteriorate and has a long storage time in a normal temperature environment, the power-off instruction is executed.
4. The internet-based enterprise energy monitoring and analyzing system of claim 2, wherein the implementation of the water heater by the execution module comprises the following steps:
SSS1: analyzing the total water consumption of the water heater within one week, calculating the average value of the water consumption used by the household each time to obtain the average daily water consumption of the household, and setting the average daily water consumption as the preset daily water consumption of the water heater; if the water storage amount of the water heater is smaller than the daily preset water consumption, the execution module controls a valve body of the water heater to supplement water until the water storage amount of the water heater is matched within the set range of the daily preset water consumption, and at the moment, the execution module closes the valve body;
SSS2: calling a resident working time period and dividing the resident working time period into a standby time period and a heating time period, and when the water heater is in the standby time period, executing the power-off processing on the water heater by an execution module; when the water heater is in a heating time period, the execution module executes a heating instruction to the water heater;
SSS3: calling a resident leisure time period, meanwhile, carrying out water consumption time period of the water heater in the resident leisure time period within one week, and when the water heater is in a non-water consumption time period, directly carrying out power-off treatment on the water heater by the execution module; when the water heater is in the water using time period, a water using inquiry request is sent to an intelligent terminal of a resident, and when an inquiry request result fed back by the resident is received in a preset time range, the inquiry request result is analyzed and power-off operation is carried out.
5. The system for monitoring and analyzing enterprise energy resources based on the internet as claimed in claim 4, wherein the specific process of analyzing the result of the inquiry request is as follows:
if the inquiry request result is that water is not used, controlling the water heater to execute power-off processing;
if the inquiry request result is the water consumption time, calculating the time difference between the current time and the water consumption time to obtain standby time, and acquiring a preset time threshold value required by heating the water heater to the preset temperature of the residents; comparing the standby time with a preset time threshold, and when the standby time is greater than the preset time threshold, calculating a time difference between the standby time and the preset time threshold to obtain the power-off time, and acquiring the electric quantity required by the water heater when the water heater is heated to the preset temperature of a resident and is kept warm to water consumption and marking the electric quantity as Q1; calculating the electric quantity required by the water heater to heat to the preset temperature of the resident and marking the electric quantity as Q2; when Q2 is less than Q1, controlling the water heater to execute power-off processing, and when the difference value between the current moment and the water using moment is equal to a preset time length threshold value, controlling the water heater to execute power-on and heat to the preset temperature of the householder; if not, the power-off operation is not carried out; when the inquiry request result fed back by the resident is not received within the preset time range, directly controlling the water heater to perform power-off operation;
when the inquiry request result is in the room, calling the number of people living in the current time period and the indoor temperature, comparing the indoor temperature with the preset living temperature, and when the indoor temperature is higher than the preset living temperature, generating a temperature reduction instruction and sending the temperature reduction instruction to the execution module; and when the indoor temperature is lower than the preset dwelling temperature, generating a temperature increase instruction and sending the temperature increase instruction to the execution module.
6. The internet-based enterprise energy monitoring and analysis system of claim 5, wherein: the execution module is used for receiving and processing a power-off instruction, a temperature reduction instruction and a temperature increase instruction; the method comprises the following specific steps:
when a power-off instruction is received, controlling corresponding common electric equipment or indoor preset electric equipment to power off;
when a temperature reduction instruction is received, controlling an indoor air conditioner to reduce the temperature, so that the indoor temperature is equal to the preset dwelling temperature;
and when receiving the temperature rising instruction, controlling the indoor air conditioner to rise the temperature to enable the indoor temperature to be equal to the preset residential temperature.
7. The internet-based enterprise energy monitoring and analysis system of claim 2, wherein: the analysis module is also used for analyzing lighting brightness data of the floor public activity area, and the specific analysis is as follows:
SSSS1: dividing each floor public activity area into a plurality of activity areas, collecting the number of people in each activity area, and if the number of people is more than zero, generating a first positive signal; if the number of people is equal to zero, generating a second negative signal;
SSSS2: comparing the lighting illumination value of the floor at the current time point with a preset illumination value, and generating a second negative signal when the lighting illumination value of the floor is greater than the preset illumination value; when the illuminance value of the floor lighting is less than or equal to the preset illuminance value, generating a second positive signal;
SSSS3: and if the first positive signal and the second positive signal occur simultaneously, generating an electrifying signaling, acquiring a floor lighting illumination value and a preset illumination value at a corresponding time point according to the electrifying signaling, performing differential analysis on the floor lighting illumination value and the preset illumination value to obtain an illumination difference value, increasing the illumination of the corresponding activity area by a P illumination value according to the illumination difference value, wherein the P illumination value is equal to the absolute value of the illumination difference value.
8. The internet-based enterprise energy monitoring and analysis system of claim 1, wherein: the industrial data information comprises the operating temperature of a heating element of workshop production equipment and the cooling grade of cooling equipment, wherein the cooling grade is divided into three grades of primary cooling, secondary cooling and tertiary cooling; the life data information comprises electric power energy consumption data and indoor temperature data of each floor in each room unit time, and lighting brightness data and indoor electric equipment data of a floor public activity area; the indoor electric equipment data comprises food storage information inside the refrigerator, water consumption of the water heater used each time, total water consumption in a week, water consumption time period of the water heater when a resident is in a leisure time period in a week, resident working time period and resident leisure time period, wherein the electric power energy consumption data is consumption number.
9. The internet-based enterprise energy monitoring and analysis system of claim 8, wherein: the cloud server is used for receiving and storing industrial data information and life data information; and a classification management unit is further arranged in the cloud server and used for performing classification management on the industrial data information and the life data information.
10. The internet-based enterprise energy monitoring and analysis system of claim 9, wherein: the specific process of the classification management unit for performing classification management is as follows:
setting a plurality of classification categories, wherein each classification category corresponds to a plurality of subjects; matching the industrial data information and the life data information with all subjects, and classifying the industrial data information and the life data information into corresponding classification categories when the industrial data information and the life data information belong to the corresponding subjects, wherein each classification category is preset to correspond to a preset storage duration;
counting the initial time when the industrial data information and the life data information are correspondingly stored in the cloud server, calculating the time difference between the initial time and the current time to obtain the stored time, and deleting the industrial data information and the life data information when the stored time is equal to the preset storage time.
11. The internet-based enterprise energy monitoring and analysis system of claim 10, wherein: the cloud server further comprises an encryption unit, and the encryption unit is used for encrypting industrial data information and life data information in preset subjects.
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