A method and system for analyzing load of electrical equipment in an enterprise

Abstract

The present invention provides a method and system for analyzing the load of electrical equipment of enterprises, including: calculating the load ratio of electrical equipment of each enterprise in each industry on the same day based on the daily maximum load of electrical equipment of each enterprise in each industry on the same day; performing overload analysis on the electrical equipment of each enterprise in each industry based on the comparison result of the daily load ratio of electrical equipment of each enterprise in each industry on the same day and the overload threshold of each industry; wherein the overload threshold of each industry is obtained based on the average value of the daily maximum load of electrical equipment of each enterprise in each industry in the previous year without overload and the daily maximum load of electrical equipment of each enterprise in each industry without overload in the previous year. The present invention uses cluster analysis to accurately analyze the load of electrical equipment of enterprises in each industry, improves the accuracy of overload fault analysis of electrical equipment in enterprises, and reduces the fault risk of electrical equipment in enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of resumption of work and production of enterprises, and in particular to a method and system for analyzing the load of electrical equipment of an enterprise. Background Art

[0002] In the prior art, most of the overload failures of electrical equipment are based on a threshold value uniformly set based on the technical parameters of the electrical equipment itself. Only when the load of the electrical equipment exceeds the set threshold value, control measures are taken on the load of the electrical equipment. In addition, the same electrical equipment in an enterprise of a certain industry is also judged for overload using the above method. Therefore, it is difficult to objectively and accurately analyze the small-scale overload situation of the electrical equipment in the enterprise. Therefore, it is more likely to cause large-scale power outages in enterprises in a certain industry due to long-term small-scale overload problems. At the same time, small-scale overload situations will accelerate the aging of electrical equipment and increase the risk of failure of electrical equipment in the enterprise. Summary of the invention

[0003] In view of the problem of overvoltage faults caused by the difficulty in accurately analyzing the load of electrical equipment of various enterprises in the industry in the prior art, the present invention provides a method for analyzing the load of electrical equipment of enterprises, including:

[0004] Calculate the load ratio of electrical equipment of each enterprise in each industry on that day based on the maximum load of electrical equipment of each enterprise in each industry on that day;

[0005] Based on the comparison results of the daily electrical equipment load ratio of each enterprise in each industry on that day and the overload threshold of each industry, the overload analysis of the electrical equipment of each enterprise in each industry is carried out;

[0006] Among them, the overload threshold of each industry is obtained based on the average value of the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload.

[0007] Preferably, the daily electrical equipment load ratio of each enterprise in each industry on that day is the ratio between the daily maximum electrical equipment load of each enterprise in each industry on that day and the average value of the daily maximum electrical equipment load of each enterprise in each industry without overload in historical years.

[0008] Preferably, the overload analysis of the electrical equipment of each enterprise in each industry based on the comparison result of the daily electrical equipment load ratio of each enterprise in each industry on that day with the overload threshold of each industry includes:

[0009] If the daily electrical equipment load ratio of an enterprise in an industry exceeds the overload threshold of the industry, the electrical equipment load of the enterprise in the industry is in an overload state, and an overload alarm is issued to the enterprise, otherwise, the operation is terminated.

[0010] Preferably, the process of obtaining the overload threshold of each industry based on the average value of the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload includes:

[0011] The ratio of the daily electrical equipment load of each enterprise in each industry in the historical year is used as the daily electrical equipment load ratio of each enterprise in each industry in the historical year;

[0012] Clustering the daily electrical equipment load ratios of each enterprise in each industry in the historical year;

[0013] The minimum value in the cluster with the largest cluster center is taken as the overload threshold of each industry.

[0014] Preferably, before calculating the load ratio of the electric equipment of each enterprise in each industry on the day based on the daily maximum load of the electric equipment of each enterprise in each industry on the day, the method includes:

[0015] Using the box plot method, identify and remove abnormal values ​​in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload;

[0016] For the missing data in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload after the outliers are removed, the daily electrical equipment load consistent with the type of the missing day and within the set time range is used to fill in the missing data, and the corrected daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload is obtained;

[0017] The types of missing days include: working days and holidays.

[0018] Based on the same inventive concept, the present invention also provides a system for analyzing the load of electrical equipment for an enterprise, comprising:

[0019] A daily electrical equipment load ratio calculation module is used to calculate the electrical equipment load ratio of each enterprise in each industry on that day based on the daily maximum electrical equipment load of each enterprise in each industry on that day;

[0020] An overload analysis module is used to perform overload analysis on the electrical equipment of each enterprise in each industry based on the comparison result of the daily electrical equipment load ratio of each enterprise in each industry on that day and the overload threshold of each industry;

[0021] Among them, the overload threshold of each industry is obtained based on the average value of the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload.

[0022] Preferably, the daily electrical equipment load ratio of each enterprise in each industry on that day calculated in the daily electrical equipment load ratio calculation module is obtained by the ratio between the daily maximum electrical equipment load of each enterprise in each industry on that day and the average value of the daily maximum electrical equipment load of each enterprise in each industry without overload in historical years.

[0023] Preferably, the overload analysis module includes:

[0024] The overload state determination submodule is used to determine whether the daily electrical equipment load ratio of an enterprise in any industry on that day exceeds the overload threshold of the industry in which it is located. If it exceeds the overload threshold of the industry in which it is located, the electrical equipment load of the enterprise in the industry is in an overload state;

[0025] The overload alarm submodule is used to issue an overload alarm to an enterprise in the industry when the load of the electrical equipment of the enterprise is in an overload state, otherwise, the operation is terminated.

[0026] Preferably, it also includes a threshold determination module, which is used to use the ratio between the maximum daily electrical equipment load of each enterprise in each industry in the historical year without overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload as the daily electrical equipment load ratio of each enterprise in each industry in the historical year;

[0027] Clustering the daily electrical equipment load ratios of each enterprise in each industry in the historical year;

[0028] The minimum value in the cluster with the largest cluster center is taken as the overload threshold of each industry.

[0029] Preferably, it also includes a data processing module for identifying and removing abnormal values ​​in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload by using a box plot method;

[0030] For the missing data in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload after the outliers are removed, the daily electrical equipment load consistent with the type of the missing day and within the set time range is used to fill in the missing data, and the corrected daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload is obtained;

[0031] The types of missing days include: working days and holidays.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present invention provides a method and system for analyzing the load of electrical equipment for enterprises, including: calculating the load ratio of electrical equipment for each enterprise in each industry on the same day based on the daily maximum load of electrical equipment for each enterprise in each industry on the same day; performing overload analysis on the electrical equipment of each enterprise in each industry based on the comparison result of the daily load ratio of electrical equipment for each enterprise in each industry on the same day and the overload threshold of each industry; wherein the overload threshold of each industry is obtained based on the average value of the daily maximum load of electrical equipment for each enterprise in each industry in the previous year without overload and the daily maximum load of electrical equipment for each enterprise in each industry without overload in the previous year. The present invention uses cluster analysis to accurately analyze the load of electrical equipment for enterprises in each industry, improves the accuracy of overload fault analysis for electrical equipment in enterprises, and reduces the fault risk of electrical equipment in enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flow chart of a method for analyzing the load of electrical equipment in an enterprise according to the present invention;

[0035] Figure 2 The present invention is a schematic diagram of a system for analyzing load of electrical equipment in an enterprise. DETAILED DESCRIPTION

[0036] Example 1

[0037] In view of the problem that it is difficult to accurately identify the shutdown and resumption status of an enterprise in the prior art, the present invention provides a method for analyzing the load of electrical equipment of an enterprise, such as Figure 1 As shown, including:

[0038] Step 1, calculating the load ratio of electrical equipment of each enterprise in each industry on the day based on the maximum load of electrical equipment of each enterprise in each industry on the day;

[0039] Step 2: Based on the comparison result of the daily electric equipment load ratio of each enterprise in each industry on that day and the overload threshold of each industry, an overload analysis is performed on the electric equipment of each enterprise in each industry;

[0040] Among them, the overload threshold of each industry is obtained based on the average value of the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload.

[0041] Before step 1, the archive data of electricity users of each enterprise in each industry and the daily load data of electrical equipment in the historical non-overload situation are obtained in advance, and the missing values ​​and abnormal values ​​of the historical daily load data of electrical equipment in the non-overload situation are processed.

[0042] The box plot method is used to identify and remove outliers in the historical daily electrical equipment load data of each enterprise in each industry without overload;

[0043] In this embodiment, when the excluded abnormal value is a working day, the average value of the daily load of the electrical equipment in the non-overloaded state during the 5 working days before and 5 working days after the excluded abnormal value is used for completion; when the excluded abnormal value is a weekend or holiday, the average value of the daily load of the electrical equipment in the non-overloaded state during the 2 holidays before and 2 holidays after the date is used for completion.

[0044] In step 1, the daily electrical equipment load ratio of each enterprise in each industry on the day is calculated by using the ratio between the daily maximum electrical equipment load of each enterprise in each industry on the day and the average value of the daily maximum electrical equipment load of each enterprise in each industry without overload in the historical year;

[0045] In this embodiment, for each corporate electricity customer in the industry, the average value of the daily maximum electrical equipment load of each corporate electricity customer when it was not overloaded last year is calculated, and the current daily maximum electrical equipment load of each enterprise in each industry is divided by the average value of the daily maximum electrical equipment load of each corporate electricity customer when it was not overloaded in December last year (for example: the maximum electrical equipment load on May 21 / the average value of the daily maximum electrical equipment load when it was not overloaded in 2020) to obtain the daily electrical equipment load ratio of each corporate electricity customer on that day. Then, the daily electrical equipment load ratio of enterprise k in industry i on day f is calculated as follows:

[0046]

[0047] In the formula, is the daily electrical equipment load ratio of enterprise k in industry i on day f, is the maximum daily electrical equipment load of enterprise k in industry i on day f, It is the average value of the daily maximum load of electrical equipment of enterprise k in industry i without overload last year.

[0048] Before step 2, the overload threshold of each industry is obtained in advance. The specific process is as follows:

[0049] Using the ratio between the maximum daily electrical equipment load of each enterprise in each industry in the historical year without overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload as the daily electrical equipment load ratio of each enterprise in each industry in the historical year, and using the daily electrical equipment load ratio of each enterprise in the historical year to construct a cluster data set;

[0050] In this embodiment, the clustering data set is constructed using the daily electrical equipment load ratios of each enterprise in each industry last year, as shown in the following formula:

[0051]

[0052] In the formula, S i is the clustering data set of industry i, is the load ratio of all daily electrical equipment of enterprise k in industry i last year;

[0053] The K-means clustering algorithm is used to cluster the data set S containing the daily power equipment load ratio of industry i in the historical years. i Conduct cluster analysis to obtain clustering results; use profile analysis to determine the optimal number of clusters;

[0054] According to the clustering results, the optimal number of clusters is determined by using the profile analysis method, and the minimum value in the cluster with the largest cluster center in the optimal cluster is used as the overload threshold of each industry;

[0055] The overload threshold of each industry is calculated as follows:

[0056] T i =min(m i )

[0057] Where, T i is the overload threshold of industry i, m i These are all the values ​​in the cluster with the largest daily electrical equipment load ratio in the clustering results of industry i.

[0058] In step 2, the overload conditions of the enterprises in the industries are judged according to the overload thresholds of the industries;

[0059] If the daily electrical equipment load ratio of an enterprise in an industry exceeds the overload threshold of the industry, the electrical equipment load of the enterprise in the industry is in an overload state, and an overload alarm is issued to the enterprise, otherwise, the operation is terminated.

[0060] In this embodiment, the overload status of each enterprise in each industry is as shown in the following formula:

[0061]

[0062] In the formula, is the overload status of enterprise k in industry i on day f;

[0063] If the daily electrical equipment load ratio of enterprise k in industry i is greater than the overload threshold of industry i, enterprise k is in overload state and an overload warning is issued to enterprise k;

[0064] If the daily electrical equipment load ratio of enterprise k in industry i is less than or equal to the overload threshold of its industry, enterprise k is not in an overload state.

[0065] In the present invention, for each industry, the number of enterprises in the overload state in each industry on the day is first counted, and then the overload probability of each industry on the day is calculated;

[0066] The overload probability of each industry on that day is determined by the following formula:

[0067]

[0068] In the formula, RE i,f is the overload probability of industry i on day f, M i,f is the number of enterprises in industry i that are in overload state on day f, N i is the number of enterprises in industry i;

[0069] Furthermore, a statistical analysis is conducted on the overload status of the region where each enterprise is located. First, the number of enterprises in the region that are in an overload state on that day is counted, and then the overload rate of the region on that day is calculated;

[0070] The overload probability of the area on that day is calculated as follows:

[0071]

[0072] In the formula, RE h,f is the overload probability of area h on day f, M h,f is the number of enterprises in the region h that are in overload state, B h is the number of enterprises in region h.

[0073] By plotting the overload rate of the region and each industry every day this year into a line graph, we can get the overload rate curve of the region and each industry.

[0074] Example 2

[0075] Based on the same inventive concept, the present invention also provides a load analysis system for electrical equipment in an enterprise, such as Figure 2 As shown, including:

[0076] A daily electrical equipment load ratio calculation module is used to calculate the electrical equipment load ratio of each enterprise in each industry on that day based on the daily maximum electrical equipment load of each enterprise in each industry on that day;

[0077] An overload analysis module is used to perform overload analysis on the electrical equipment of each enterprise in each industry based on the comparison result of the daily electrical equipment load ratio of each enterprise in each industry on that day and the overload threshold of each industry;

[0078] Among them, the overload threshold of each industry is obtained based on the average value of the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year when there was no overload.

[0079] The data processing module is used to pre-acquire the archive data of electricity users of each enterprise in each industry and the daily load data of electrical equipment under historical non-overload conditions, and process missing values ​​and abnormal values ​​of the historical daily load data of electrical equipment under historical non-overload conditions.

[0080] The box plot method is used to identify and remove outliers in the historical daily electrical equipment load data of each enterprise in each industry without overload;

[0081] In this embodiment, when the excluded abnormal value is a working day, the average value of the daily load of the electrical equipment in the non-overloaded state during the 5 working days before and 5 working days after the excluded abnormal value is used for completion; when the excluded abnormal value is a weekend or holiday, the average value of the daily load of the electrical equipment in the non-overloaded state during the 2 holidays before and 2 holidays after the date is used for completion.

[0082] The daily electrical equipment load ratio calculation module is used to calculate the daily electrical equipment load ratio of each enterprise in each industry on the same day by using the ratio between the daily maximum electrical equipment load of each enterprise in each industry on the same day and the average value of the daily maximum electrical equipment load of each enterprise in each industry without overload in the historical years;

[0083] In this embodiment, for each corporate electricity customer in the industry, the average value of the daily maximum electrical equipment load of each corporate electricity customer when it was not overloaded last year is calculated, and the current daily maximum electrical equipment load of each enterprise in each industry is divided by the average value of the daily maximum electrical equipment load of each corporate electricity customer when it was not overloaded in December last year (for example: the maximum electrical equipment load on May 21 / the average value of the daily maximum electrical equipment load when it was not overloaded in 2020) to obtain the daily electrical equipment load ratio of each corporate electricity customer on that day. Then, the daily electrical equipment load ratio of enterprise k in industry i on day f is calculated as follows:

[0084]

[0085] In the formula, is the daily electrical equipment load ratio of enterprise k in industry i on day f, is the maximum daily electrical equipment load of enterprise k in industry i on day f, It is the average value of the daily maximum load of electrical equipment of enterprise k in industry i without overload last year.

[0086] The threshold determination module is used to pre-acquire the overload threshold of each industry. The specific process is as follows:

[0087] Using the ratio between the maximum daily electrical equipment load of each enterprise in each industry in the historical year without overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload as the daily electrical equipment load ratio of each enterprise in each industry in the historical year, and using the daily electrical equipment load ratio of each enterprise in the historical year to construct a cluster data set;

[0088] In this embodiment, the clustering data set is constructed using the daily electrical equipment load ratios of each enterprise in each industry last year, as shown in the following formula:

[0089]

[0090] In the formula, S i is the clustering data set of industry i, is the load ratio of all daily electrical equipment of enterprise k in industry i last year;

[0091] The K-means clustering algorithm is used to cluster the data set S containing the daily power equipment load ratio of industry i in the historical years. i Conduct cluster analysis to obtain clustering results; use profile analysis to determine the optimal number of clusters;

[0092] According to the clustering results, the optimal number of clusters is determined by using the profile analysis method, and the minimum value in the cluster with the largest cluster center in the optimal cluster is used as the overload threshold of each industry;

[0093] The overload threshold of each industry is calculated as follows:

[0094] T i =min(m i )

[0095] Where, T i is the overload threshold of industry i, m i These are all the values ​​in the cluster with the largest daily electrical equipment load ratio in the clustering results of industry i.

[0096] The overload analysis module is used to judge the overload situation of each enterprise in each industry according to the overload threshold of each industry;

[0097] The module comprises: an overload state determination submodule and an overload alarm submodule;

[0098] The overload state determination submodule is used to determine whether the daily electrical equipment load ratio of an enterprise in any industry on that day exceeds the overload threshold of the industry in which it is located. If it exceeds the overload threshold of the industry in which it is located, the electrical equipment load of the enterprise in the industry is in an overload state;

[0099] In this embodiment, the overload state determination submodule is used to determine the overload state using the following calculation formula:

[0100]

[0101] In the formula, is the overload status of enterprise k in industry i on day f;

[0102] The overload alarm submodule is used to issue an overload alarm to an enterprise in the industry when the load of the electrical equipment of the enterprise is in an overload state, otherwise, the operation is terminated;

[0103] In this embodiment, based on the overload state of each enterprise determined by the overload state determination submodule, when the daily electrical equipment load ratio of enterprise k in industry i on that day is greater than the overload threshold of industry i, enterprise k is in an overload state, and an overload warning is issued to enterprise k;

[0104] When the daily electrical equipment load ratio of enterprise k in industry i is less than or equal to the overload threshold of its industry, enterprise k is not in an overload state.

[0105] Obviously, the described embodiments are only some embodiments of the present invention, but not all 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.

[0106] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0107] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0108] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0109] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0110] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the scope of the claims of the present invention to be approved.

Claims

1. A method for analyzing the load of electrical equipment in an enterprise, characterized in that: The method comprises: Calculate the load ratio of electrical equipment of each enterprise in each industry on that day based on the maximum load of electrical equipment of each enterprise in each industry on that day; Based on the comparison results of the daily electrical equipment load ratio of each enterprise in each industry on that day and the overload threshold of each industry, the overload analysis of the electrical equipment of each enterprise in each industry is carried out; The overload threshold of each industry is obtained based on the average value of the maximum daily load of electrical equipment of each enterprise in each industry in the previous year without overload and the maximum daily load of electrical equipment of each enterprise in each industry in the previous year without overload; The daily electrical equipment load ratio of each enterprise in each industry on that day is the ratio between the daily maximum electrical equipment load of each enterprise in each industry on that day and the average value of the daily maximum electrical equipment load of each enterprise in each industry without overload in the historical years; The process of obtaining the overload threshold of each industry based on the average value of the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload includes: The ratio of the daily electrical equipment load of each enterprise in each industry in the historical year is used as the daily electrical equipment load ratio of each enterprise in each industry in the historical year; Clustering the daily electrical equipment load ratios of each enterprise in each industry in the historical year; The minimum value in the cluster with the largest cluster center is taken as the overload threshold of each industry.

2. The method according to claim 1, characterized in that: The overload analysis of the electrical equipment of each enterprise in each industry based on the comparison result of the daily electrical equipment load ratio of each enterprise in each industry on that day with the overload threshold of each industry includes: If the daily electrical equipment load ratio of an enterprise in an industry exceeds the overload threshold of the industry, the electrical equipment load of the enterprise in the industry is in an overload state, and an overload alarm is issued to the enterprise, otherwise, the operation is terminated.

3. The method according to claim 1, characterized in that: Before calculating the load ratio of the electric equipment of each enterprise in each industry on the same day based on the daily maximum load of the electric equipment of each enterprise in each industry on the same day, the following steps are included: Using the box plot method, identify and remove abnormal values ​​in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload; For the missing data in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload after the outliers are removed, the daily electrical equipment load consistent with the type of the missing day and within the set time range is used to fill in the missing data, and the corrected daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload is obtained; The types of missing days include: working days and holidays.

4. A load analysis system for electrical equipment in an enterprise, characterized in that: include: A daily electrical equipment load ratio calculation module is used to calculate the electrical equipment load ratio of each enterprise in each industry on that day based on the daily maximum electrical equipment load of each enterprise in each industry on that day; An overload analysis module is used to perform overload analysis on the electrical equipment of each enterprise in each industry based on the comparison result of the daily electrical equipment load ratio of each enterprise in each industry on that day and the overload threshold of each industry; The overload threshold of each industry is obtained based on the average value of the maximum daily load of electrical equipment of each enterprise in each industry in the previous year without overload and the maximum daily load of electrical equipment of each enterprise in each industry in the previous year without overload; The daily electrical equipment load ratio of each enterprise in each industry on the day calculated in the daily electrical equipment load ratio calculation module is obtained by the ratio between the daily maximum electrical equipment load of each enterprise in each industry on the day and the average value of the daily maximum electrical equipment load of each enterprise in each industry without overload in the historical year; It also includes a threshold determination module, which is used to use the ratio between the maximum daily electrical equipment load of each enterprise in each industry in the historical year without overload and the maximum daily electrical equipment load of each enterprise in each industry in the previous year without overload as the daily electrical equipment load ratio of each enterprise in each industry in the historical year; Clustering the daily electrical equipment load ratios of each enterprise in each industry in the historical year; The minimum value in the cluster with the largest cluster center is taken as the overload threshold of each industry.

5. The system according to claim 4, characterized in that: The overload analysis module comprises: The overload state determination submodule is used to determine whether the daily electrical equipment load ratio of an enterprise in any industry on that day exceeds the overload threshold of the industry in which it is located. If it exceeds the overload threshold of the industry in which it is located, the electrical equipment load of the enterprise in the industry is in an overload state; The overload alarm submodule is used to issue an overload alarm to an enterprise in the industry when the load of the electrical equipment of the enterprise is in an overload state, otherwise, the operation is terminated.

6. The system according to claim 4, characterized in that: It also includes a data processing module for identifying and removing abnormal values ​​in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload by using a box plot method; For the missing data in the daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload after the outliers are removed, the daily electrical equipment load consistent with the type of the missing day and within the set time range is used to fill in the missing data, and the corrected daily electrical equipment load of each enterprise in each industry in the previous year of the historical year and in the historical year without overload is obtained; The types of missing days include: working days and holidays.

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