A method for judging abnormal power consumption in buildings based on intelligent power distribution system

Abstract

The present invention relates to the technical field of electricity consumption data analysis, and specifically discloses a method for judging abnormal electricity consumption in a building based on an intelligent power distribution system, the method comprising: S1: real-time monitoring of environmental information, electricity consumption information and information of electrical equipment in the building; S2: calculating the overall electricity consumption risk value of the building according to the collected information; S3: judging whether the overall electricity consumption risk value of the building exceeds a preset overall electricity consumption risk value; by respectively calculating the electricity consumption risk value of each electrical equipment and calculating the overall electricity consumption risk value of the building, not only can the abnormality monitoring of electricity consumption be performed within a smaller range, thereby improving the sensitivity of monitoring and thus improving the accuracy of the judgment result, but also by respectively calculating the electricity consumption risk value of each electrical equipment, if an abnormal electricity consumption occurs, the source of the abnormal electricity consumption can be checked, thereby improving the inspection and maintenance efficiency of maintenance personnel.

Description

Technical Field

[0001] The present invention relates to the technical field of power consumption data analysis, and in particular to a method for determining abnormal power consumption of a building based on an intelligent power distribution system. Background Art

[0002] Abnormal building electricity consumption refers to the abnormal state of the power system in the building during use, including but not limited to unstable current and voltage fluctuations, abnormal increase in power consumption, frequent power outages or power failures. These abnormal conditions may cause inconvenience to the equipment, operations and lives of residents in the building, and may even cause safety hazards.

[0003] In order to ensure the stable operation of the building power system and timely discover potential problems, the transmission method is to extract the voltage, current, power, electric energy indication and other data from the user's electricity consumption information collection system in the building, and export the corresponding data table file for statistics and analysis to find out whether there is any abnormality in the user's transformer device, and then judge the abnormal electricity consumption of the building.

[0004] In the above-mentioned existing electricity consumption information monitoring method, the voltage, current, power, electric energy indication and other data in the system are analyzed. The abnormal electricity consumption judgment method can only monitor abnormalities within a larger range, that is, the monitoring sensitivity is poor, and the data recording process is relatively complicated and cannot be monitored in real time, resulting in the inability to monitor the abnormal electricity consumption of the building in real time and affecting the accuracy of the judgment result; and since it is impossible to analyze the source of the abnormal electricity consumption data, it is impossible to investigate the source of the abnormal electricity consumption, affecting the maintenance efficiency of maintenance personnel. Summary of the invention

[0005] The purpose of the present invention is to provide a method for determining abnormal power consumption in a building based on an intelligent power distribution system to solve the following technical problems:

[0006] How to monitor abnormal power consumption in buildings in real time and accurately determine abnormal power consumption in buildings.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A method for determining abnormal power consumption in a building based on an intelligent power distribution system, the method comprising:

[0009] S1: Real-time monitoring of environmental information, power consumption information and power equipment information in the building;

[0010] S2: Calculate the overall electricity risk value of the building based on the collected information;

[0011] S3: Determine whether the overall electricity consumption risk value of the building exceeds the preset overall electricity consumption risk value;

[0012] S4: Calculate the power consumption risk value of each power-consuming device respectively, and determine whether the power consumption risk value of the power-consuming device exceeds the preset power consumption risk value of the power-consuming device;

[0013] S5: Calculate the fluctuation and average value of the overall electricity consumption risk value of the building over a period of time, and evaluate whether abnormal electricity consumption will occur in the building in the future.

[0014] Furthermore, the environmental information monitored in S1 includes the temperature and humidity in the building, the electrical equipment includes a transformer, the information of the electrical equipment includes the operating load, operating temperature and maintenance time interval of the transformer, and the electricity consumption information includes voltage value and current value.

[0015] Furthermore, the process of calculating the overall electricity risk value of the building in S2 includes:

[0016] By formula Calculate the overall electricity risk value of the building ;

[0017] in, is the actual temperature in the building, The preset standard temperature in the building. for The reference value of is the actual humidity in the building, The standard humidity preset in the building. and is the weight coefficient, n is the total number of transformers in the building, i is the i-th transformer in the building, and , is the voltage value of the i-th transformer in the building, is the standard voltage value of the i-th transformer in the building, is the current value of the i-th transformer in the building, is the standard current value of the i-th transformer in the building, is the equipment risk factor of the i-th transformer in the building.

[0018] Furthermore, the judgment process in S3 includes:

[0019] By calculating the overall electricity risk value of the building The overall electricity consumption risk value threshold of the preset building Make a comparison;

[0020] like > , determine whether there are abnormalities in the overall electricity consumption of the building, and identify the source of electricity risk by calculating the electricity risk value of each electrical equipment;

[0021] like < , judge that there is no abnormality in the overall electricity consumption of the building, and further judge the abnormal electricity consumption of the building by calculating the electricity risk value of each electrical equipment separately.

[0022] Furthermore, the process of calculating the power consumption risk value of each power-consuming device in S4 includes:

[0023] By formula Calculate the equipment risk factor of the i-th transformer in the building ;

[0024] And through the formula Calculate the power risk value of the i-th transformer in the building ;

[0025] By calculating the power consumption risk value of all the i-th transformers in the building The power consumption risk value threshold of the preset transformer Make a comparison;

[0026] If any > , determine that the transformer has abnormal power consumption, and issue an alarm to remind maintenance personnel to carry out maintenance;

[0027] If all Average< , determine that there is no abnormal power consumption in all transformers in the building, and evaluate the overall power consumption risk value in the future by calculating the fluctuation value and average value of the overall power consumption risk value of the building over a period of time;

[0028] in, is the judgment function, is the actual operating load of the i-th transformer in the building, The standard operating load preset for the i-th transformer in the building, is the actual operating temperature of the i-th transformer in the building, The preset standard operating temperature for the i-th transformer in the building, is the maintenance interval of the i-th transformer in the building, The preset standard maintenance time interval for the i-th transformer in the building, for reference value.

[0029] Furthermore, the calculation process of the fluctuation value of the overall electricity consumption risk value of the building within a period of time in S5 includes:

[0030] By formula Calculate the fluctuation value of the overall electricity consumption risk value of the building ;

[0031] in, is the total number of collections of the overall electricity risk value, u is any data collection at a fixed time interval, is the overall electricity risk value of the building at the uth data collection time, for The average value of

[0032] By using the fluctuation value of the overall electricity consumption risk value of the building Fluctuation value from the preset overall power consumption risk value Make a comparison;

[0033] like < , it is judged that the stability of the overall electricity consumption risk value data of the building over a period of time is high;

[0034] like > , judging that the stability of the overall electricity consumption risk value data of the building over a period of time is low.

[0035] Furthermore, the process of calculating the average value of the overall electricity consumption risk value of the building within a period of time in S5 includes:

[0036] First, the overall electricity risk value of the building obtained through continuous monitoring is used to establish a real-time change curve of the overall electricity risk. ;

[0037] And through the formula Calculate the average value of the overall electricity risk value of the building over a period of time ;

[0038] in, is the proportionality coefficient, is the maximum value of the overall electricity risk value of the building, is the minimum value of the overall electricity risk value of the building;

[0039] The average value of the overall electricity risk value of the building over a period of time Compared with the preset overall power consumption risk value threshold Make a comparison;

[0040] like < , it is judged that the average risk value of the overall electricity consumption of the building over a period of time is low;

[0041] Otherwise, the average risk value of the overall electricity consumption of the building over a period of time is judged to be high.

[0042] Furthermore, the process of evaluating whether abnormal power consumption will occur in the building in the future in S5 includes:

[0043] like < ,and < , it is judged that the overall power consumption risk value of the building is low and stable over a period of time, and the possibility of abnormal power consumption in the future is low;

[0044] like < ,and > , it is judged that the overall power consumption risk value of the building is high and stable over a period of time, and the possibility of abnormal power consumption in the future is medium;

[0045] like > ,and < , it is judged that the overall power consumption risk value of the building is low and unstable over a period of time, and the possibility of abnormal power consumption in the future is medium;

[0046] like > ,and > , it is judged that the overall electricity consumption risk value of the building is high and unstable over a period of time, and there is a high possibility of abnormal electricity consumption in the future.

[0047] Beneficial effects of the present invention:

[0048] (1) The present invention calculates the power consumption risk value of each power-consuming device separately and the overall power consumption risk value of the building. It can not only monitor the power consumption abnormality within a smaller range and improve the monitoring sensitivity, thereby improving the accuracy of the judgment result, but also calculates the power consumption risk value of each power-consuming device separately. If power consumption abnormality occurs, the source of the power consumption abnormality can be investigated, thereby improving the maintenance efficiency of maintenance personnel.

[0049] (2) The present invention calculates the overall electricity risk value of the building. When the voltage value, current value and equipment risk coefficient of the transformer are greater than the preset standard value, the overall electricity risk value of the building will also increase, indicating that the overall electricity risk value of the building is Affected by environmental factors, the equipment risk coefficient of the transformer, and the voltage and current, this calculation method can improve the accuracy of the overall electricity consumption risk value of the building by monitoring the current and voltage while calculating the overall electricity consumption risk value of the building based on environmental data and transformer equipment data. It can then more accurately determine whether there is abnormal electricity consumption in the building, and the judgment result has a high sensitivity.

[0050] (3) The present invention uses the overall electricity risk value of the building The overall electricity consumption risk value threshold of the preset building Through this judgment method, the overall electricity risk value of the building can be used to accurately determine whether there is abnormal electricity usage in the building, and the judgment result is highly sensitive. If it is determined that there is abnormal electricity usage in the building, the electricity risk value of each electrical equipment can be calculated to find out the source of the electricity risk, which is convenient for maintenance personnel to inspect the source of the electricity risk in time to ensure the stable operation of the building's power system.

[0051] (4) The present invention calculates the power consumption risk value of all the i-th transformers in the building. The power consumption risk value threshold of the preset transformer By comparing, through this judgment method, it is possible to determine whether any transformer has abnormal power usage based on the power usage risk values ​​of all transformers in the building, thereby further judging the abnormal power usage of the building, and then being able to more accurately determine whether there is abnormal power usage in the building, and when it is determined that a certain transformer has abnormal power usage, the maintenance personnel can be promptly reminded to inspect the transformer to ensure the stable operation of the building power system.

[0052] (5) The present invention evaluates whether abnormal electricity usage will occur in the building in the future by combining the fluctuation value and the average value of the overall electricity consumption risk value of the building over a period of time. It can evaluate whether abnormal electricity usage will occur in the building in the future, and implement different strategic deployments based on the judgment results to ensure that abnormal electricity usage can be monitored in the first place and the source of the abnormal electricity usage can be inspected and repaired. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] Figure 1 It is a flow chart of a method for determining abnormal power consumption in a building based on an intelligent power distribution system in the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1 As shown, in one embodiment, the present application provides a method for determining abnormal power consumption of a building based on an intelligent power distribution system, the method comprising:

[0057] S1: Real-time monitoring of environmental information, power consumption information and power equipment information in the building;

[0058] S2: Calculate the overall electricity risk value of the building based on the collected information;

[0059] S3: Determine whether the overall electricity consumption risk value of the building exceeds the preset overall electricity consumption risk value;

[0060] S4: Calculate the power consumption risk value of each power-consuming device respectively, and determine whether the power consumption risk value of the power-consuming device exceeds the preset power consumption risk value of the power-consuming device;

[0061] S5: Calculate the fluctuation value and average value of the overall electricity consumption risk value of the building over a period of time, and evaluate whether abnormal electricity consumption will occur in the building in the future;

[0062] Through the above technical scheme, when judging the abnormal power consumption of a building, firstly, the environmental information, power consumption information and information of power-consuming equipment in the building are monitored in real time, and the overall power consumption risk value of the building is calculated based on the collected information, and then the overall power consumption risk value of the building is compared with the preset overall power consumption risk value, and it is judged whether there is power consumption abnormality based on the comparison result, and then the power consumption risk value of each power-consuming equipment is calculated respectively, and it is judged whether the power consumption risk value of the power-consuming equipment exceeds the preset power consumption risk value of the power-consuming equipment. Through such setting, the overall power consumption risk value of the building is calculated based on the real-time monitored environmental information, power consumption information and information of power-consuming equipment, which can not only monitor the abnormal power consumption within a smaller range, improve the monitoring sensitivity, and thus improve the accuracy of the judgment result, but also by calculating the power consumption risk value of each power-consuming equipment respectively, if power consumption abnormality occurs, the source of the power consumption abnormality can be checked, thereby improving the inspection and maintenance efficiency of maintenance personnel;

[0063] Then, the fluctuation value and average value of the overall electricity consumption risk value of the building over a period of time are calculated, and the overall electricity consumption risk value in the future is evaluated based on the two sets of data, so as to determine whether there will be abnormal electricity consumption in the future, so as to prevent problems before they occur.

[0064] It should be noted that the real-time monitoring data of the environmental information, power consumption information and power equipment information in the above-mentioned buildings can be obtained through sensors and data collectors in the prior art, which will not be described in detail here.

[0065] The environmental information monitored in S1 includes the temperature and humidity in the building, the electrical equipment includes a transformer, the information of the electrical equipment includes the operating load, operating temperature and maintenance time interval of the transformer, and the power consumption information includes voltage value and current value;

[0066] Through the above technical scheme, by real-time monitoring of environmental information, electricity consumption information and information of electrical equipment in the building, and combining the temperature and humidity data in the building, as well as the operating load, operating temperature and maintenance time interval of the transformer, the overall electricity consumption risk value of the building can be calculated more accurately, so that the electricity consumption abnormality judgment method can perform abnormality monitoring within a smaller range, improve the monitoring sensitivity, and realize real-time monitoring of the overall electricity consumption risk value of the building, thereby improving the accuracy of electricity consumption abnormality judgment.

[0067] The process of calculating the overall electricity risk value of the building in S2 includes:

[0068] By formula Calculate the overall electricity risk value of the building ;

[0069] in, is the actual temperature in the building, The preset standard temperature in the building. for The reference value can be set based on the allowable error in the empirical data. is the actual humidity in the building, The standard humidity preset in the building. and is the weight coefficient, n is the total number of transformers in the building, i is the i-th transformer in the building, and , is the voltage value of the i-th transformer in the building, is the standard voltage value of the i-th transformer in the building, is the current value of the i-th transformer in the building, is the standard current value of the i-th transformer in the building, is the equipment risk factor of the i-th transformer in the building;

[0070] Through the above technical solution, this embodiment provides the overall electricity risk value of the building. , can be obtained by formula Obviously, when the temperature in the building deviates from the preset temperature and the actual humidity in the building is greater than the preset standard humidity, the overall electricity risk value of the building will increase, which means that the overall electricity risk value of the building Affected by environmental factors, when the voltage value, current value and equipment risk factor of the transformer are greater than the preset standard value, the overall electricity risk value of the building will also increase, indicating that the overall electricity risk value of the building is Affected by environmental factors, the equipment risk coefficient of the transformer, and the voltage and current, this calculation method can improve the accuracy of the overall electricity consumption risk value of the building by monitoring the current and voltage while calculating the overall electricity consumption risk value of the building based on environmental data and transformer equipment data. It can then more accurately determine whether there is abnormal electricity consumption in the building, and the judgment result has a high sensitivity.

[0071] The judgment process in S3 includes:

[0072] By calculating the overall electricity risk value of the building The overall electricity consumption risk value threshold of the preset building Make a comparison;

[0073] like > , determine whether there are abnormalities in the overall electricity consumption of the building, and identify the source of electricity risk by calculating the electricity risk value of each electrical equipment;

[0074] like < , judge that there is no abnormality in the overall electricity consumption of the building, and further judge the abnormal electricity consumption of the building by calculating the electricity consumption risk value of each electrical equipment separately;

[0075] Through the above technical solution, when judging the abnormal power consumption of a building, firstly, the overall power consumption risk value of the building is calculated. The overall electricity consumption risk value threshold of the preset building For comparison, if > , determine whether there is any abnormality in the overall power consumption of the building, and then calculate the power consumption risk value of each power-consuming device separately, check the source of power consumption risk, and feedback the results of the investigation, so that maintenance personnel can inspect and repair the source of power consumption risk and ensure the stable operation of the building power system;

[0076] like < , judge that there is no abnormality in the overall electricity consumption of the building, and then further judge the abnormal electricity consumption of the building by calculating the electricity consumption risk value of each electrical equipment. Through this judgment method, the overall electricity consumption risk value of the building can be used to accurately judge whether there is abnormal electricity consumption in the building, and the judgment result is highly sensitive. If it is judged that there is abnormal electricity consumption in the building, the source of electricity risk can be checked by calculating the electricity consumption risk value of each electrical equipment, which is convenient for maintenance personnel to timely inspect the source of electricity risk and ensure the stable operation of the building power system;

[0077] It should be noted that the above-mentioned preset overall electricity consumption risk value threshold of the building It can be set based on experience fitting.

[0078] The process of calculating the power consumption risk value of each power-consuming device in S4 includes:

[0079] By formula Calculate the equipment risk factor of the i-th transformer in the building ;

[0080] And through the formula Calculate the power risk value of the i-th transformer in the building ;

[0081] By calculating the power consumption risk value of all the i-th transformers in the building The power consumption risk value threshold of the preset transformer Make a comparison;

[0082] If any > , determine that the transformer has abnormal power consumption, and issue an alarm to remind maintenance personnel to carry out maintenance;

[0083] If all Average< , determine that there is no abnormal power consumption in all transformers in the building, and evaluate the overall power consumption risk value in the future by calculating the fluctuation value and average value of the overall power consumption risk value of the building over a period of time;

[0084] in, is the judgment function, if ,but = ,like ,but =0; is the actual operating load of the i-th transformer in the building, The standard operating load preset for the i-th transformer in the building, is the actual operating temperature of the i-th transformer in the building, The preset standard operating temperature for the i-th transformer in the building, is the maintenance interval of the i-th transformer in the building, The preset standard maintenance time interval for the i-th transformer in the building, for The reference value can be set according to the allowable error in the empirical data. The above preset transformer power consumption risk value threshold Can be set based on experience fitting;

[0085] Through the above technical solution, this embodiment provides the power consumption risk value of the i-th transformer in the building: , we can use the formula Obviously, when the actual operating load, operating temperature and maintenance time interval of the transformer exceed the preset standard values, the power consumption risk value of the transformer will increase, and then the power risk value of all the i-th transformers in the building The power consumption risk value threshold of the preset transformer Make a comparison;

[0086] If any > , judge that the transformer has abnormal power consumption, and issue an alarm to remind the maintenance personnel to carry out maintenance. Average< , it is judged that there is no abnormal power consumption in all transformers in the building. Through this judgment method, it is possible to judge whether there is abnormal power consumption in any transformer according to the power consumption risk value of all transformers in the building, so as to further judge the abnormal power consumption of the building, and then it can be more accurately judged whether there is abnormal power consumption in the building. When it is judged that a transformer has abnormal power consumption, the maintenance personnel can be reminded in time to inspect the transformer to ensure the stable operation of the building power system;

[0087] Afterwards, by calculating the fluctuation value and average value of the overall electricity consumption risk value of the building over a period of time, the overall electricity consumption risk value in the future is evaluated, and then it is determined whether abnormal electricity consumption will occur in the building in the future, thereby preventing potential risks.

[0088] The calculation process of the fluctuation value of the overall electricity consumption risk value of the building within a period of time in S5 includes:

[0089] By formula Calculate the fluctuation value of the overall electricity consumption risk value of the building ;

[0090] in, is the total number of collections of the overall electricity risk value, u is any data collection at a fixed time interval, is the overall electricity risk value of the building at the uth data collection time, for The average value of

[0091] By using the fluctuation value of the overall electricity consumption risk value of the building Fluctuation value from the preset overall power consumption risk value Make a comparison;

[0092] like < , it is judged that the stability of the overall electricity consumption risk value data of the building over a period of time is high;

[0093] like > ,It is judged that the stability of the overall electricity consumption risk value data of the building over a period of time is low;

[0094] Through the above technical solution, the formula Calculate the fluctuation value of the overall electricity consumption risk value of the building And by taking the fluctuation value of the overall electricity risk value of the building Fluctuation value from the preset overall power consumption risk value To compare; if < , it is judged that the overall power consumption risk value data of the building is stable within a period of time; it means that there is no abnormality in the overall power consumption of the building during this period of time, and because the overall power consumption risk value data of the building is stable, the possibility of abnormal power consumption in the building in the future is low. > , judging that the stability of the overall electricity consumption risk value data of the building within a period of time is low, indicating that although there is no abnormality in the overall electricity consumption of the building during this period of time, due to the low stability of the overall electricity consumption risk value data of the building, abnormal electricity consumption may occur in the building in the future.

[0095] The process of calculating the average value of the overall electricity consumption risk value of the building within a period of time in S5 includes:

[0096] First, the overall electricity risk value of the building obtained through continuous monitoring is used to establish a real-time change curve of the overall electricity risk. ;

[0097] And through the formula Calculate the average value of the overall electricity risk value of the building over a period of time ;

[0098] in, is the proportionality coefficient, which can be set based on empirical fitting. is the maximum value of the overall electricity risk value of the building, is the minimum value of the overall electricity risk value of the building;

[0099] The average value of the overall electricity risk value of the building over a period of time Compared with the preset overall power consumption risk value threshold Make a comparison;

[0100] like < , it is judged that the average risk value of the overall electricity consumption of the building over a period of time is low;

[0101] Otherwise, the average risk value of the overall electricity consumption of the building over a period of time is judged to be high;

[0102] Through the above technical solution, the formula Calculate the average value of the overall electricity risk value of the building over a period of time , and by taking the average value of the overall electricity risk value of the building over a period of time Compared with the preset overall power consumption risk value threshold Make a comparison;

[0103] Since the average value of the overall electricity risk value of the building The calculation is based on the assumption that there is no abnormal power consumption in the building, so if < , if the average risk value of the overall electricity consumption of the building over a period of time is low, then it means that the possibility of abnormal electricity consumption in the building in the future is low, > , it is judged that the average risk value of the overall electricity consumption of the building over a period of time is high, which means that although there is no abnormal electricity consumption in the building at present, abnormal electricity consumption may occur in the future.

[0104] The process of evaluating whether abnormal power consumption will occur in the building in the future in S5 includes:

[0105] like < ,and < , it is judged that the overall power consumption risk value of the building is low and stable over a period of time, and the possibility of abnormal power consumption in the future is low;

[0106] like < ,and > , it is judged that the overall power consumption risk value of the building is high and stable over a period of time, and the possibility of abnormal power consumption in the future is medium;

[0107] like > ,and < , it is judged that the overall power consumption risk value of the building is low and unstable over a period of time, and the possibility of abnormal power consumption in the future is medium;

[0108] like > ,and > , it is judged that the overall power consumption risk value of the building is high and unstable over a period of time, and there is a high possibility of abnormal power consumption in the future;

[0109] Through the above technical solution, this embodiment evaluates whether abnormal electricity consumption will occur in the building in the future by combining the fluctuation value and average value of the overall electricity consumption risk value of the building over a period of time;

[0110] like < ,and < , it is judged that the overall power consumption risk value of the building is low and stable over a period of time, and the possibility of abnormal power consumption in the future is low;

[0111] like < ,and > , it is judged that the overall power consumption risk value of the building is high and stable over a period of time, and the possibility of abnormal power consumption in the future is medium. It is necessary to continuously monitor the overall power consumption risk value of the building to ensure that abnormal power consumption can be detected in the first place and the source of abnormal power consumption can be inspected and repaired;

[0112] like > ,and < , it is judged that the overall power consumption risk value of the building is low and unstable over a period of time, and the possibility of abnormal power consumption in the future is medium. It is also necessary to continuously monitor the overall power consumption risk value of the building to ensure that abnormal power consumption can be detected in the first time and the source of abnormal power consumption can be inspected and repaired;

[0113] like > ,and > , it is judged that the overall electricity consumption risk value of the building is high and unstable over a period of time, and there is a high possibility of abnormal electricity consumption in the future; at this time, it is necessary to closely monitor the overall electricity consumption risk value of the building and the electricity consumption risk value of the transformer, and arrange maintenance personnel to inspect all transformers in the building, and continue to observe the subsequent changes in the overall electricity consumption risk value and the electricity consumption risk value of the transformer. Through such settings, it is possible to evaluate whether there will be abnormal electricity consumption in the building in the future, and implement different strategic deployments based on the judgment results to ensure that the abnormal electricity consumption can be monitored in the first time and the source of the abnormal electricity consumption can be repaired.

[0114] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for determining abnormal power consumption in a building based on an intelligent power distribution system, characterized in that: The method comprises: S1: Real-time monitoring of environmental information, power consumption information and power equipment information in the building; S2: Calculate the overall electricity risk value of the building based on the collected information; S3: Determine whether the overall electricity consumption risk value of the building exceeds the preset overall electricity consumption risk value; S4: Calculate the power consumption risk value of each power-consuming device respectively, and determine whether the power consumption risk value of the power-consuming device exceeds the preset power consumption risk value of the power-consuming device; S5: Calculate the fluctuation value and average value of the overall electricity consumption risk value of the building over a period of time, and evaluate whether abnormal electricity consumption will occur in the building in the future; The process of calculating the overall electricity risk value of the building in S2 includes: By formula Calculate the overall electricity risk value of the building ; in, is the actual temperature in the building, The preset standard temperature in the building. for The reference value of is the actual humidity in the building, The standard humidity preset in the building. and is the weight coefficient, n is the total number of transformers in the building, i is the i-th transformer in the building, and , is the voltage value of the i-th transformer in the building, is the standard voltage value of the i-th transformer in the building, is the current value of the i-th transformer in the building, is the standard current value of the i-th transformer in the building, is the equipment risk factor of the i-th transformer in the building; The judgment process in S3 includes: By calculating the overall electricity risk value of the building The overall electricity consumption risk value threshold of the preset building Make a comparison; like > , determine whether there are abnormalities in the overall electricity consumption of the building, and identify the source of electricity risk by calculating the electricity risk value of each electrical equipment; like < , judge that there is no abnormality in the overall electricity consumption of the building, and further judge the abnormal electricity consumption of the building by calculating the electricity consumption risk value of each electrical equipment separately; The process of calculating the power consumption risk value of each power-consuming device in S4 includes: By formula Calculate the equipment risk factor of the i-th transformer in the building ; And through the formula Calculate the power consumption risk value of the i-th transformer in the building ; By calculating the power consumption risk value of all the i-th transformers in the building The power consumption risk value threshold of the preset transformer Make a comparison; If any > , determine that the transformer has abnormal power consumption, and issue an alarm to remind maintenance personnel to carry out maintenance; If all Average< , determine that there is no abnormal power consumption in all transformers in the building, and evaluate the overall power consumption risk value in the future by calculating the fluctuation value and average value of the overall power consumption risk value of the building over a period of time; in, is the judgment function, is the actual operating load of the i-th transformer in the building, The standard operating load preset for the i-th transformer in the building, is the actual operating temperature of the i-th transformer in the building, The preset standard operating temperature for the i-th transformer in the building, is the maintenance interval of the i-th transformer in the building, The preset standard maintenance time interval for the i-th transformer in the building, for reference value.

2. A method for determining abnormal power consumption in a building based on an intelligent power distribution system according to claim 1, characterized in that: The environmental information monitored in S1 includes the temperature and humidity in the building, the electrical equipment includes a transformer, the information of the electrical equipment includes the operating load, operating temperature and maintenance time interval of the transformer, and the electricity consumption information includes voltage value and current value.

3. The method for determining abnormal power consumption of a building based on an intelligent power distribution system according to claim 1, characterized in that: The calculation process of the fluctuation value of the overall electricity consumption risk value of the building within a period of time in S5 includes: By formula Calculate the fluctuation value of the overall electricity consumption risk value of the building ; in, is the total number of collections of the overall electricity risk value, u is any data collection at a fixed time interval, is the overall electricity risk value of the building at the uth data collection time, for The average value of By using the fluctuation value of the overall electricity consumption risk value of the building Fluctuation value from the preset overall power consumption risk value Make a comparison; like < , it is judged that the stability of the overall electricity consumption risk value data of the building over a period of time is high; like > , judging that the stability of the overall electricity consumption risk value data of the building over a period of time is low.

4. The method for determining abnormal power consumption of a building based on an intelligent power distribution system according to claim 1, characterized in that: The process of calculating the average value of the overall electricity consumption risk value of the building within a period of time in S5 includes: First, the overall electricity risk value of the building obtained through continuous monitoring is used to establish a real-time change curve of the overall electricity risk. ; And through the formula Calculate the average value of the overall electricity risk value of the building over a period of time ; in, is the proportionality coefficient, is the maximum value of the overall electricity risk value of the building, is the minimum value of the overall electricity risk value of the building; The average value of the overall electricity risk value of the building over a period of time Compared with the preset overall power consumption risk value threshold Make a comparison; like < , it is judged that the average risk value of the overall electricity consumption of the building over a period of time is low; Otherwise, the average risk value of the overall electricity consumption of the building over a period of time is judged to be high.

5. The method for determining abnormal power consumption of a building based on an intelligent power distribution system according to claim 1, characterized in that: The process of evaluating whether abnormal power consumption will occur in the building in the future in S5 includes: like < ,and < , it is judged that the overall power consumption risk value of the building is low and stable over a period of time, and the possibility of abnormal power consumption in the future is low; like < ,and > , it is judged that the overall power consumption risk value of the building is high and stable over a period of time, and the possibility of abnormal power consumption in the future is medium; like > ,and < , it is judged that the overall power consumption risk value of the building is low and unstable over a period of time, and the possibility of abnormal power consumption in the future is medium; like > ,and > , it is judged that the overall electricity consumption risk value of the building is high and unstable over a period of time, and there is a high possibility of abnormal electricity consumption in the future.

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