s1: setting preset values y and u of the average damage coefficient and the dispersion degree of the damage coefficient, and comparing the preset values y and u with Ui and Yi, wherein the preset values y and u are specifically as follows:

s 1: when Ui is more than or equal to u and Yi is more than or equal to y, judging that the equipment is seriously damaged and needs to be replaced, and generating a facility replacement signal;

s 2: when Ui is more than or equal to u and Yi is less than y, judging that the equipment is damaged and needs to be overhauled, and generating a facility overhaul signal;

s 3: when Ui is less than u and Yi is more than or equal to y, judging that the equipment has a fault and needs to be checked, and generating a facility checking signal;

s 4: when Ui is less than u and Yi is less than y, the equipment is judged to be slightly damaged without maintenance, and a signal that the facility is intact is generated;

s2: and acquiring a facility replacement signal, a facility overhaul signal, a facility inspection signal and a facility sound signal in the s1-s4, transmitting the facility replacement signal, the facility inspection signal and the facility sound signal to a signal identification unit in the fault judgment module, converting the facility replacement signal into a replacement command when the identification unit identifies the facility replacement signal, transmitting the replacement command to the alarm and the emergency module respectively, converting the facility inspection signal into a detection command when the identification unit identifies the facility overhaul signal and the facility inspection signal, transmitting the detection command to the monitoring module, and transmitting the sound signal to the intelligent device when the identification unit identifies the sound signal.

As a further improvement of the invention: the specific operation process of the monitoring and analyzing operation comprises the following steps:

k1, acquiring current data, voltage data, resistance data, time data and internal temperature data, and sequentially marking the data as D L o, DYo, DZo, SJo and NWo, wherein o is 1, 2, 3.... cndot, and D L o, DYo, DZo, SJo and NW are in one-to-one correspondence;

k2, acquiring current data, voltage data and resistance data, and substituting the current data, the voltage data and the resistance data into a calculation formula Qo-D L o²DYo and DZo, wherein Qo represents the heat generated during current operation;

k3: acquiring time data SJo and the heat Qo generated in the above operation, and bringing it into the calculation formula

Calculating the sum of the generated heat;

k4: acquiring the total and internal temperature data of the generated heat and substituting the data into a calculation formula

Q_{General assembly}*f＝P_NWoThereby obtaining

Wherein f is expressed as a heat generation actual storage factor, and the temperature data Qhi of each facility in the step one during working is obtained and is taken into the calculation formula P together with the total temperature data_NWog-Qhi, thereby obtaining g-Qhi/P_NWoWherein g is expressed as an influence factor of the generated heat on the facility.

As a further improvement of the invention: the specific operation process of the analysis and calculation operation comprises the following steps:

g1, acquiring maximum external temperature data, initial current data, initial voltage data and initial resistance data of the facility, and sequentially marking the data as ZGk, C L k, CYk and CZk, wherein k is 1, 2, 3.... I;

g2: the maximum external temperature data of the facility, the actual heat generation conservation factor and the influence factor of the generated heat on the facility are brought into the calculation formula

Wherein CR is expressed as actual operating heat data;

g3: the initial current data, initial voltage data and initial resistance data are brought into a calculation formula together with actual operation heat data

Wherein T is_{Fruit of Chinese wolfberry}Expressed as the time actually required for the temperature to rise to the maximum external temperature, and transmitted to the timing unit；

And G4, simultaneously, acquiring temperature data of the current day through the monitoring module, calibrating the temperature data into DWD, setting a temperature preset value range B, detecting according to the time when DWD ∈ B is detected, increasing A1 seconds to detect at the time when DWD is less than B, and shortening A2 seconds to detect when DWD is more than B, wherein the detection is carried out at the time earlier than j seconds within the calibration time, and A1 and A2 are preset values.

The invention has the beneficial effects that:

(1) the acquisition module acquires the working information of the facility and transmits the working information to the analysis module through the processor, the analysis module is used for analyzing and operating the working time length data of the facility, the failure frequency data of the facility, the temperature data of the facility and the on-off frequency data of the facility to obtain an average damage coefficient and the discrete degree of the damage coefficient, and transmits the average damage coefficient and the discrete degree of the damage coefficient to a fault judgment module which judges the average damage coefficient and the discrete degree of the damage coefficient, the damage factors of the facilities are analyzed, the damage degree, the average damage coefficient and the discrete degree of the damage coefficient of the facilities are calculated, the fault judgment module judges the use of the facilities according to the analysis result of the analysis module, and the safety analysis of the facilities is increased, so that the safety of the facilities is maintained better, the time is saved, and the working efficiency is improved.

(2) The damage command is transmitted to the alarm and the emergency module, the detection command is transmitted to the monitoring module, the sound signal is transmitted to the intelligent device, the alarm gives out a damage alarm after receiving the damage command, the emergency module stops the operation of the facility after receiving the damage command, the monitoring module monitors the internal operation information of the facility, the internal operation information comprises current data, voltage data, resistance data, time data and internal temperature data, monitoring analysis operation is carried out according to the internal operation information, the current, the voltage and the resistance in the facility are analyzed through the setting of the monitoring module, the generated heat energy in the facility is calculated, the actual storage factor without heat generation is calculated, the influence factor of the generated heat on the facility is calculated, and the internal working condition of the facility is accurately analyzed.

(3) The maximum external temperature data, the initial current data, the initial voltage data and the initial resistance data of the facility are stored in the database, the analysis module analyzes and calculates the maximum temperature reaching time of the facility to obtain the actual required time, and the actual required time is transmitted to the timing unit; the timing unit starts to count down after receiving the actually required time, and sends a monitoring command to the monitoring module when the countdown is about to end, the monitoring module monitors the temperature of the facility again, compares the monitored data with the highest external temperature, and performs analysis calculation operation through the analysis module, so that the temperature change of the facility during working is accurately calculated, the timing detection time of the internal temperature of the facility is adjusted according to the external temperature condition, the maintenance effect of the facility is increased, the protection of the facility is increased, the damage of the facility is avoided, and the loss brought to people is avoided.

Drawings

The invention will be further described with reference to the accompanying drawings.

FIG. 1 is a system block diagram of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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, the invention relates to a building facility maintenance and supervision system based on BIM, which comprises an acquisition module, an analysis module, a monitoring module, a fault judgment module, an emergency module, a processor, an alarm, a database, a timing unit and intelligent equipment;

the system comprises a collection module, an analysis module, a processor and an analysis module, wherein the collection module is used for collecting facility working information, the facility working information comprises working duration data, failure frequency data, temperature data and power on and power off frequency data, the working duration data, the failure frequency data, the temperature data and the power on and power off frequency data are transmitted to the analysis module through the processor, the analysis module is used for analyzing the facility working duration data, the facility failure frequency data, the facility temperature data and the power on and power off frequency data of the facility, and the specific operation process of:

step five: setting the influence ratios of the service lives of the facilities corresponding to Qhi, Ehi, Whi and Rhi in the first to fourth steps, wherein the influence ratios are respectively marked as q, w, e and r, and calculating the damage degree of the facilities by the aid of the influence ratios and the Qhi, Ehi, Whi and Rhi, wherein Thi is represented as Qhi q + Ehi w + Whi e + Rhi r, and q + w + e + r is 1;

step six: firstly according to the formula

i 1, 2, 3.. m, and calculating the discrete degree of damage coefficients of each facility in each day in a period of time;

the analysis module transmits Ui and Yi to a fault judgment module, the fault judgment module is used for judging the average damage coefficient and the dispersion degree of the damage coefficient, and the specific operation process of the judgment operation is as follows:

s 1: when Ui is more than or equal to u and Yi is more than or equal to y, judging that the equipment is seriously damaged and needs to be replaced, and generating a facility damage signal;

s2: acquiring a facility damage signal, a facility overhaul signal, a facility inspection signal and a facility intact signal in the s1-s4, transmitting the facility damage signal, the facility inspection signal, the facility intact signal and the facility intact signal to a signal identification unit in the fault judgment module, converting the facility damage signal into a damage command when the identification unit identifies the facility damage signal, transmitting the damage command to an alarm and an emergency module respectively, converting the facility inspection signal into a detection command when the identification unit identifies the facility overhaul signal and the facility inspection signal, transmitting the detection command to the monitoring module, and transmitting the intact signal to the intelligent device when the identification unit identifies the intact signal;

the alarm sends out the damage alarm after receiving the damage order, and the operation of facility is stopped after receiving the damage order to emergency module, monitoring module is used for monitoring the inside operation information of facility, inside operation information includes current data, voltage data, resistance data, time data and inside temperature data to monitor the analysis operation according to it, the concrete operation process of monitoring the analysis operation is:

k3: the time data SJo and the heat Qo generated during the above operation are acquired and brought into the calculation formula

Calculating the sum of the generated heat;

Q_{General assembly}*f＝P_NWoThereby obtaining

Wherein f is expressed as a heat generation actual storage factor, and the temperature data Qhi of each facility in the step one during working is obtained and is taken into the calculation formula P together with the total temperature data_NWog-Qhi, thereby obtaining g-Qhi/P_NWoWherein g is expressed as an influence factor of the generated heat on the facility, and the generated heat actual storage factor and the influence factor of the generated heat on the facility are transmitted to the analysis module;

the data base stores the highest external temperature data, the initial current data, the initial voltage data and the initial resistance data of the facility, the analysis module is further used for analyzing and calculating the maximum temperature reaching time of the facility, and the specific operation process of the analyzing and calculating operation is as follows:

g1, acquiring maximum external temperature data, initial current data, initial voltage data and initial resistance data of the facility, and sequentially marking the data as ZGk, C L k, CYk and CZk, wherein k is 1, 2, 3.... l;

Wherein CR is expressed as actual operating heat data;

Wherein T is_{Fruit of Chinese wolfberry}Expressed as the time actually required for the temperature to rise to the maximum external temperature, and transmitted to the timing unit;

g4, simultaneously, acquiring temperature data of the current day through the monitoring module, calibrating the temperature data into DWD, setting a temperature preset value range B, detecting according to the time when DWD ∈ B is detected, increasing A1 seconds to detect at the time when DWD is less than B, and shortening A2 seconds to detect when DWD is more than B, wherein the detection is carried out at the time earlier than j seconds within the calibration time, and A1 and A2 are preset values;

When the invention works, the acquisition module acquires the working information of the facility, and transmits the working information to the analysis module through the processor, the analysis module analyzes the working time length data of the facility, the failure frequency data of the facility, the temperature data of the facility and the on-off frequency data of the facility to obtain an average damage coefficient and the dispersion degree of the damage coefficient and transmits the average damage coefficient and the dispersion degree of the damage coefficient to the failure judgment module, the failure judgment module judges the average damage coefficient and the dispersion degree of the damage coefficient to obtain a damage command, a detection command and a sound signal, transmits the damage command to the alarm and the emergency module, transmits the detection command to the monitoring module, transmits the sound signal to the intelligent equipment, the alarm gives a damage alarm after receiving the damage command, the emergency module stops the operation of the facility after receiving the damage command, and the monitoring module is used for monitoring the internal operation information of the facility, the internal operation information comprises current data, voltage data, resistance data, time data and internal temperature data, monitoring and analyzing operation is carried out according to the internal operation information to obtain an actual heat generation storage factor and an influence factor of the generated heat on the facility, and the actual heat generation storage factor and the influence factor are transmitted to the analysis module; the analysis module is used for analyzing and calculating the maximum temperature reaching time of the facility to obtain the actual required time and transmitting the actual required time to the timing unit; the timing unit starts to count down after receiving the actual required time, and sends a monitoring command to the monitoring module when the countdown is about to end, the monitoring module monitors the temperature of the facility again, compares the monitored data with the highest external temperature, when the difference between the temperature monitored again and the highest external temperature is less than or equal to M, sends a replacing signal to the emergency module and the alarm respectively, when the alarm receives the replacing signal, the alarm sends a replacing alarm, when the emergency module receives the replacing signal, the facility stops working, the standby facility is replaced for running again, when the difference between the temperature monitored again and the highest external temperature is greater than M, the emergency module and the alarm send signal maintenance signals respectively, when the alarm receives the maintenance signals, the alarm sends a maintenance alarm, when the emergency module receives the maintenance signals, and stopping the operation of the facilities, switching to the standby facilities for operation again, and performing overhaul and maintenance on the stopped facilities.

The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims

1. A BIM-based building facility maintenance supervision system is characterized by comprising an acquisition module, an analysis module, a monitoring module, a fault judgment module, an emergency module, a processor, an alarm, a database, a timing unit and intelligent equipment;

2. The BIM-based construction facility maintenance supervision system according to claim 1, wherein the specific operation process of the analysis operation is:

step six: firstly according to the formula

To obtain the average damage coefficient of each facility in each day in a period of time, and then according to the formula

To find the discrete degree of damage coefficient of each facility in each day in a period of time.

3. The BIM-based construction equipment maintenance supervision system according to claim 1, wherein the specific operation process of the decision operation is:

s1: setting preset values y and U of the average damage coefficient and the dispersion degree of the damage coefficient, and comparing the preset values with U_iAnd Y_iComparing, specifically comprising:

s 1: when U is turned_iNot less than u and Y_iWhen the damage is more than or equal to y, judging that the equipment is seriously damaged and needs to be replaced, and generating a facility replacement signal;

s 2: when U is turned_iNot less than u and Y_iIf < y, then judgeDetermining that the equipment is damaged and needs to be overhauled, and generating a facility overhaul signal;

s 3: when U is turned_i< u, and Y_iWhen the voltage is more than or equal to y, judging that the equipment has a fault and needs to be checked, and generating a facility checking signal;

s 4: when U is turned_i< u, and Y_iIf the damage is less than y, judging that the equipment is slightly damaged, and generating a signal that the facility is intact without maintenance;

s2: the facility replacement signal, the facility inspection signal, and the facility sound signal in s1_ s4 are acquired and transmitted to the signal recognition unit in the failure determination module, and when the recognition unit recognizes the facility replacement signal, it is converted into a replacement command and transmitted to the alarm and the emergency module, respectively, when the recognition unit recognizes the facility inspection signal and the facility inspection signal, it is converted into a detection command and transmitted to the monitoring module, and when the recognition unit recognizes the sound signal, it is transmitted to the smart device.

4. The BIM-based construction equipment maintenance supervision system according to claim 1, wherein the specific operation process of the monitoring and analyzing operation is:

Calculating the sum of the generated heat;

Q_{General assembly}*f＝P_NWoThereby obtaining

5. The BIM-based construction facility maintenance supervision system according to claim 1, wherein the specific operation process of the analysis calculation operation is:

Wherein CR is expressed as actual operating heat data;

Wherein 7_{Fruit of Chinese wolfberry}Expressed as the time actually required for the temperature to rise to the maximum external temperature, and transmitted to the timing unit;