CN118500042A - Remote monitoring management system for refrigerator - Google Patents

Abstract

The invention belongs to the technical field of monitoring management, and particularly relates to a refrigerator remote monitoring management system which comprises an intelligent monitoring unit, a data analysis unit, an optimization management unit, a data storage unit and an energy auditing unit, wherein the intelligent monitoring unit is used for monitoring the refrigerator; the intelligent monitoring unit is used for monitoring each item of data of the plurality of refrigerators in real time and transmitting the data to the data analysis unit in real time for analysis; the data analysis unit is used for receiving various data of the refrigerator, analyzing the data and judging whether the data meets the requirement or not; the optimizing management unit is used for receiving the instruction sent by the data analysis unit and adjusting and optimizing the refrigerator according to different instructions; the energy auditing unit is used for carrying out data auditing on a plurality of refrigerator with super commercial products according to the period. The invention can progressively adjust the temperature of the refrigerator before the peak time zone with larger people flow, thereby reducing the temperature of the refrigerator in advance, and reducing the energy consumption on the premise of not sacrificing the food fresh-keeping effect by progressively adjusting the temperature.

Description

Remote monitoring management system for refrigerator

Technical Field

The invention belongs to the technical field of monitoring management, and particularly relates to a refrigerator remote monitoring management system.

Background

Commercial refrigerator is widely applicable to places such as dining room, water bar, food processing enterprises, and supermarkets. In these commercial environments, the cooler is used not only to store food products, but also to display merchandise, attracting customers. The number of freezers in a commercial environment is great and critical to maintaining the freshness and quality of the food product, a key facility to ensure that customers can purchase fresh food products.

The existing refrigerator management system can realize remote monitoring and management of the refrigerator, such as real-time monitoring of temperature, humidity and the like, and remote adjustment of the working state of the refrigerator, but has the defect of energy management. Due to the lack of intelligent energy optimization strategies, the refrigerator may generate unnecessary electric energy loss during operation. Such losses not only increase the operating costs, but also are detrimental to environmental protection.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a refrigerator remote monitoring management system which can gradually adjust the temperature of a refrigerator before a peak time zone with large people flow, so that the temperature of the refrigerator is reduced in advance, and the energy consumption can be reduced on the premise that the food fresh-keeping effect is not sacrificed by gradually adjusting the temperature.

The technical aim of the invention is realized by the following technical scheme:

A refrigerator remote monitoring management system comprising: the system comprises an intelligent monitoring unit, a data analysis unit, an optimization management unit, a data storage unit and an energy auditing unit;

the intelligent monitoring unit is used for monitoring each item of data of the plurality of refrigerators in real time and transmitting the data to the data analysis unit in real time for analysis;

The data analysis unit is used for receiving various data of the refrigerator, analyzing the data and judging whether the data meets the requirement or not;

the optimizing management unit is used for receiving the instruction sent by the data analysis unit and adjusting and optimizing the refrigerator according to different instructions;

The data storage unit is used for storing and arranging all data and transmitting the data to the energy auditing unit according to the period;

the energy auditing unit is used for carrying out data auditing on a plurality of refrigerators with super commercial products according to a period, calculating total energy consumption E_t and average energy consumption E_S, drawing a time sequence diagram, taking time as an abscissa and energy consumption as an ordinate, observing the change of the energy consumption along with time to form an energy consumption trend diagram, feeding back to the optimizing management unit, and adjusting and optimizing by the optimizing management unit according to the fed-back data.

Preferably, the specific monitoring process of each item of data of the refrigerator of the intelligent monitoring unit is as follows:

Acquiring a time value t¹ required by the real-time internal temperature to reach the set temperature after each refrigerator is started and a standard time value e¹ required by the refrigerator to reach the set temperature after the refrigerator is normally started, and transmitting data to a data analysis unit for analysis;

Acquiring the internal real-time temperature of a refrigeratorConstant temperature of refrigerationTransmitting the data to a data analysis unit for analysis;

Acquiring historical people stream data and real-time people stream data of the super business, and transmitting the data to a data analysis unit for analysis;

The signal of opening or closing the refrigerator door is obtained through the switch sensor, the time and the times of opening and closing the door each time are recorded, and the data are transmitted to the data analysis unit for analysis.

Preferably, the specific analysis process of the data analysis unit includes:

Comparing t¹ with e¹, if the absolute value of the difference between t¹ and e¹ is larger than or equal to a set refrigerating time threshold, judging that the difference is abnormal, generating a first-level optimization instruction, and transmitting the first-level optimization instruction to an optimization management unit;

if the absolute value of the difference between t¹ and e¹ is smaller than the set refrigerating time threshold, the system is judged to be normal, no instruction is generated, and monitoring is continued.

Preferably, the specific analysis process of the data analysis unit further includes:

By passing throughSubtracting outCalculating to obtain a temperature differenceAnd calculates the actual output value by the following formula；

；

D_C is the proportional gain, D₁ is the integral gain, D_k is the differential gain,Is the time interval of the sampling and,Is the deviation of the last sampling;

If it isIf the output is larger than 0, judging that the output is positive, and sending out a secondary positive optimization instruction; if it isAnd if the output is smaller than 0, judging that the output is negative, and generating a secondary negative optimization instruction.

Preferably, the specific analysis process of the data analysis unit further includes:

Calculating historical people stream data per hour to obtain a people stream average U^y, and dividing business hours of all days of business hours into a plurality of business time zones according to the hours, wherein each business time zone comprises a people stream average U^y;

the change threshold of U^y is calculated as follows:

；

；

wherein the method comprises the steps ofThe value of the product is ten percent,The value is twenty percent;

Dividing business hours into a peak time zone, a low peak time zone and a normal time zone, and defining target temperatures of three time zones, namely T^P、T^O and T^r;

If the real-time people stream data is greater than or equal toAnd if so, determining that the time is in the peak time zone, generating a three-level optimization instruction;

if the real-time people stream data is less than or equal toWhen the time is over, judging that the time is in a low peak time zone, and generating a four-level optimization instruction;

If the real-time people stream data is greater thanLess thanWhen the time is over, judging that the time is in the normal time zone, and generating a four-level optimization instruction;

The dynamic refrigeration intensity Hc is calculated, and the calculation formula is as follows:

；

Where k represents a proportionality coefficient, and is set according to the refrigerating efficiency and the temperature adjusting speed of the refrigerator.

Preferably, the specific analysis process of the data analysis unit further includes:

the early warning value of the door opening duration time is set asWhen the refrigerator is in a door opening state, recording the duration of door openingWill beAnd (3) withComparing;

If it isGreater than or equal toJudging that the door is closed abnormally, and generating a five-level optimization instruction;

If it isLess thanIf the door is judged to be closed normally, no instruction is generated.

Preferably, the specific optimization process of the optimization management unit is as follows:

after receiving the first-level optimizing instruction, judging that the refrigerator is in an overhauling state, and sending out a red alarm to remind a worker to close the refrigerator to wait for overhauling;

after receiving the second-level positive optimization instruction, the refrigerating strength of the refrigerator is improved until the constant refrigerating temperature is reached；

After receiving the second-level negative optimizing instruction, reducing the refrigerating strength of the refrigerator until reaching the constant refrigerating temperature；

When the three-level optimization instruction is received, progressive temperature adjustment is carried out on the refrigerator;

After receiving the four-level optimizing instruction, converting the refrigerator into an energy-saving mode;

and after receiving the five-level optimizing instruction, judging that the refrigerator is in a door closing state, and sending out a blue alarm to remind a worker to close the refrigerator door.

Preferably, the data storage unit comprises a hard disk for storing various data of the refrigerator.

Preferably, the total energy consumption E_t is calculated as follows:

；

Wherein H_i is the power (kilowatt) monitored at the ith time,Is the corresponding time (hours) and n is the total number of monitoring.

Preferably, the average energy consumption E_S is calculated as follows:

；

Where T is the total time (hours).

The invention has the following advantages:

According to the invention, each item of data of the refrigerator can be monitored through the intelligent monitoring unit, the running state of the refrigerator is judged according to the monitored data, and an alarm is immediately given out when abnormality occurs, so that energy waste is prevented; meanwhile, the refrigerating strength of the refrigerator can be automatically adjusted to enable the refrigerator to reach a constant temperature state, and the temperature of the refrigerator is gradually adjusted before a peak time zone with large people flow, so that the temperature of the refrigerator is reduced in advance, and the energy consumption can be reduced on the premise that the food fresh-keeping effect is not sacrificed by gradually adjusting the temperature; by gradually reducing the temperature, the refrigerator does not need to perform high-strength refrigeration in a short time; meanwhile, in a peak time zone, the refrigerator can possibly cause temperature rise due to frequent door opening and access of a large amount of foods, the temperature can be reduced in advance to provide certain buffer for the temperature change, and in an off-peak time zone, an energy-saving mode is started for the refrigerator, meanwhile, the door opening and closing condition of the refrigerator is monitored in real time, abnormal immediate alarm occurs, a worker can conveniently close a cabinet door in time, the effect of optimizing electric energy is achieved, and unnecessary electric energy loss is reduced.

Drawings

Fig. 1 is a system block diagram of the overall invention.

Detailed Description

The invention will be further described with reference to the drawings and specific examples.

As shown in fig. 1, the refrigerator remote monitoring management system comprises an intelligent monitoring unit, a data analysis unit, an optimization management unit, a data storage unit and an energy auditing unit;

the intelligent monitoring unit is used for monitoring each item of data of the plurality of refrigerators in real time and transmitting the data to the data analysis unit in real time for analysis;

The data analysis unit is used for receiving various data of the refrigerator, analyzing the data and judging whether the data meets the requirement or not;

the optimizing management unit is used for receiving the instruction sent by the data analysis unit and adjusting and optimizing the refrigerator according to different instructions;

The data storage unit is used for storing and arranging all data and transmitting the data to the energy auditing unit according to the period;

the energy auditing unit is used for carrying out data auditing on a plurality of refrigerators with super commercial products according to a period, calculating total energy consumption E_t and average energy consumption E_S, drawing a time sequence diagram, taking time as an abscissa and energy consumption as an ordinate, observing the change of the energy consumption along with time to form an energy consumption trend diagram, feeding back to the optimizing management unit, and adjusting and optimizing by the optimizing management unit according to the fed-back data.

The specific monitoring process of each item of data of the refrigerator of the intelligent monitoring unit is as follows:

Acquiring a time value t¹ required by the real-time internal temperature to reach the set temperature after each refrigerator is started and a standard time value e¹ required by the refrigerator to reach the set temperature after the refrigerator is normally started, and transmitting data to a data analysis unit for analysis;

Acquiring the internal real-time temperature of a refrigeratorConstant temperature of refrigerationTransmitting the data to a data analysis unit for analysis;

Acquiring historical people stream data and real-time people stream data of the super business, and transmitting the data to a data analysis unit for analysis;

The signal of opening or closing the refrigerator door is obtained through the switch sensor, the time and the times of opening and closing the door each time are recorded, and the data are transmitted to the data analysis unit for analysis.

The specific analysis process of the data analysis unit comprises the following steps:

Comparing t¹ with e¹, if the absolute value of the difference between t¹ and e¹ is larger than or equal to a set refrigerating time threshold, judging that the difference is abnormal, generating a first-level optimization instruction, and transmitting the first-level optimization instruction to an optimization management unit;

if the absolute value of the difference between t¹ and e¹ is smaller than the set refrigerating time threshold, the system is judged to be normal, no instruction is generated, and monitoring is continued.

The specific analysis process of the data analysis unit further comprises:

By passing throughSubtracting outCalculating to obtain a temperature differenceAnd calculates the actual output value by the following formula；

；

D_C is the proportional gain, D₁ is the integral gain, D_k is the differential gain,Is the time interval of the sampling and,Is the deviation of the last sampling;

If it isIf the output is larger than 0, judging that the output is positive, and sending out a secondary positive optimization instruction; if it isAnd if the output is smaller than 0, judging that the output is negative, and generating a secondary negative optimization instruction.

The specific analysis process of the data analysis unit further comprises:

Calculating historical people stream data per hour to obtain a people stream average U^y, and dividing business hours of all days of business hours into a plurality of business time zones according to the hours, wherein each business time zone comprises a people stream average U^y;

the change threshold of U^y is calculated as follows:

；

；

wherein the method comprises the steps ofThe value of the product is ten percent,The value is twenty percent;

Dividing business hours into a peak time zone, a low peak time zone and a normal time zone, and defining target temperatures of three time zones, namely T^P、T^O and T^r;

If the real-time people stream data is greater than or equal toAnd if so, determining that the time is in the peak time zone, generating a three-level optimization instruction;

if the real-time people stream data is less than or equal toWhen the time is over, judging that the time is in a low peak time zone, and generating a four-level optimization instruction;

If the real-time people stream data is greater thanLess thanWhen the time is over, judging that the time is in the normal time zone, and generating a four-level optimization instruction;

The dynamic refrigeration intensity Hc is calculated, and the calculation formula is as follows:

；

Where k represents a proportionality coefficient, and is set according to the refrigerating efficiency and the temperature adjusting speed of the refrigerator.

The specific analysis process of the data analysis unit further comprises:

the early warning value of the door opening duration time is set asWhen the refrigerator is in a door opening state, recording the duration of door openingWill beAnd (3) withComparing;

If it isGreater than or equal toJudging that the door is closed abnormally, and generating a five-level optimization instruction;

If it isLess thanIf the door is judged to be closed normally, no instruction is generated.

The specific optimization process of the optimization management unit is as follows:

after receiving the first-level optimizing instruction, judging that the refrigerator is in an overhauling state, and sending out a red alarm to remind a worker to close the refrigerator to wait for overhauling;

after receiving the second-level positive optimization instruction, the refrigerating strength of the refrigerator is improved until the constant refrigerating temperature is reached；

After receiving the second-level negative optimizing instruction, reducing the refrigerating strength of the refrigerator until reaching the constant refrigerating temperature；

When the three-level optimization instruction is received, progressive temperature adjustment is carried out on the refrigerator;

After receiving the four-level optimizing instruction, converting the refrigerator into an energy-saving mode;

and after receiving the five-level optimizing instruction, judging that the refrigerator is in a door closing state, and sending out a blue alarm to remind a worker to close the refrigerator door.

The data storage unit comprises a hard disk and is used for storing various data of the refrigerator.

The total energy consumption E_t is calculated as follows:

；

Wherein H_i is the power monitored at the ith time,Is the corresponding time, n is the total number of monitoring.

The average energy consumption E_S is calculated as follows:

；

Where T is the total time.

Claims (10)

1. A refrigerator remote monitoring management system is characterized in that: comprising the following steps: the system comprises an intelligent monitoring unit, a data analysis unit, an optimization management unit, a data storage unit and an energy auditing unit;

the intelligent monitoring unit is used for monitoring each item of data of the plurality of refrigerators in real time and transmitting the data to the data analysis unit in real time for analysis;

The data analysis unit is used for receiving various data of the refrigerator, analyzing the data and judging whether the data meets the requirement or not;

the optimizing management unit is used for receiving the instruction sent by the data analysis unit and adjusting and optimizing the refrigerator according to different instructions;

The data storage unit is used for storing and arranging all data and transmitting the data to the energy auditing unit according to the period;

the energy auditing unit is used for carrying out data auditing on a plurality of refrigerators with super commercial products according to a period, calculating total energy consumption E_t and average energy consumption E_S, drawing a time sequence diagram, taking time as an abscissa and energy consumption as an ordinate, observing the change of the energy consumption along with time to form an energy consumption trend diagram, feeding back to the optimizing management unit, and adjusting and optimizing by the optimizing management unit according to the fed-back data.

2. The refrigerator remote monitoring and management system according to claim 1, wherein: the specific monitoring process of each item of data of the refrigerator of the intelligent monitoring unit is as follows:

Acquiring a time value t¹ required by the real-time internal temperature to reach the set temperature after each refrigerator is started and a standard time value e¹ required by the refrigerator to reach the set temperature after the refrigerator is normally started, and transmitting data to a data analysis unit for analysis;

Acquiring the internal real-time temperature of a refrigeratorConstant temperature of refrigerationTransmitting the data to a data analysis unit for analysis;

Acquiring historical people stream data and real-time people stream data of the super business, and transmitting the data to a data analysis unit for analysis;

The signal of opening or closing the refrigerator door is obtained through the switch sensor, the time and the times of opening and closing the door each time are recorded, and the data are transmitted to the data analysis unit for analysis.

3. The refrigerator remote monitoring and management system according to claim 2, wherein: the specific analysis process of the data analysis unit comprises the following steps:

Comparing t¹ with e¹, if the absolute value of the difference between t¹ and e¹ is larger than or equal to a set refrigerating time threshold, judging that the difference is abnormal, generating a first-level optimization instruction, and transmitting the first-level optimization instruction to an optimization management unit;

if the absolute value of the difference between t¹ and e¹ is smaller than the set refrigerating time threshold, the system is judged to be normal, no instruction is generated, and monitoring is continued.

4. A refrigerator remote monitoring and management system according to claim 3, wherein: the specific analysis process of the data analysis unit further comprises:

By passing throughSubtracting outCalculating to obtain a temperature differenceAnd calculates the actual output value by the following formula；

；

D_C is the proportional gain, D₁ is the integral gain, D_k is the differential gain,Is the time interval of the sampling and,Is the deviation of the last sampling;

If it isIf the output is larger than 0, judging that the output is positive, and sending out a secondary positive optimization instruction; if it isAnd if the output is smaller than 0, judging that the output is negative, and generating a secondary negative optimization instruction.

5. The refrigerator remote monitoring and management system according to claim 4, wherein: the specific analysis process of the data analysis unit further comprises:

Calculating historical people stream data per hour to obtain a people stream average U^y, and dividing business hours of all days of business hours into a plurality of business time zones according to the hours, wherein each business time zone comprises a people stream average U^y;

the change threshold of U^y is calculated as follows:

；

；

wherein the method comprises the steps ofThe value of the product is ten percent,The value is twenty percent;

Dividing business hours into a peak time zone, a low peak time zone and a normal time zone, and defining target temperatures of three time zones, namely T^P、T^O and T^r;

If the real-time people stream data is greater than or equal toAnd if so, determining that the time is in the peak time zone, generating a three-level optimization instruction;

if the real-time people stream data is less than or equal toWhen the time is over, judging that the time is in a low peak time zone, and generating a four-level optimization instruction;

If the real-time people stream data is greater thanLess thanWhen the time is over, judging that the time is in the normal time zone, and generating a four-level optimization instruction;

The dynamic refrigeration intensity Hc is calculated, and the calculation formula is as follows:

；

Where k represents a proportionality coefficient, and is set according to the refrigerating efficiency and the temperature adjusting speed of the refrigerator.

6. The refrigerator remote monitoring and management system according to claim 5, wherein: the specific analysis process of the data analysis unit further comprises:

the early warning value of the door opening duration time is set asWhen the refrigerator is in a door opening state, recording the duration of door openingWill beAnd (3) withComparing;

If it isGreater than or equal toJudging that the door is closed abnormally, and generating a five-level optimization instruction;

If it isLess thanIf the door is judged to be closed normally, no instruction is generated.

7. The refrigerator remote monitoring and management system according to claim 6, wherein: the specific optimization process of the optimization management unit is as follows:

after receiving the first-level optimizing instruction, judging that the refrigerator is in an overhauling state, and sending out a red alarm to remind a worker to close the refrigerator to wait for overhauling;

after receiving the second-level positive optimization instruction, the refrigerating strength of the refrigerator is improved until the constant refrigerating temperature is reached；

After receiving the second-level negative optimizing instruction, reducing the refrigerating strength of the refrigerator until reaching the constant refrigerating temperature；

When the three-level optimization instruction is received, progressive temperature adjustment is carried out on the refrigerator;

After receiving the four-level optimizing instruction, converting the refrigerator into an energy-saving mode;

and after receiving the five-level optimizing instruction, judging that the refrigerator is in a door closing state, and sending out a blue alarm to remind a worker to close the refrigerator door.

8. The refrigerator remote monitoring and management system according to claim 1, wherein: the data storage unit comprises a hard disk and is used for storing various data of the refrigerator.

9. The refrigerator remote monitoring and management system according to claim 1, wherein: the total energy consumption E_t is calculated as follows:

；

Wherein H_i is the power monitored at the ith time,Is the corresponding time, n is the total number of monitoring.

10. The refrigerator remote monitoring and management system according to claim 9, wherein: the average energy consumption E_S is calculated as follows:

；

Where T is the total time.