Line loss abnormity checking method, device, equipment, medium and product

Abstract

The invention discloses a line loss abnormity checking method, device and equipment, a medium and a product. The method comprises the following steps: acquiring first power data and second power data collected at each sampling moment in a preset troubleshooting period; the first electric power data is electric power data of the transformation equipment, and the second electric power data is electric power data of all users associated with the transformation equipment; calculating line resistance at each sampling moment according to the first power data and the second power data; and according to the line resistance at each sampling moment, determining a line loss abnormity troubleshooting result of the troubleshooting period. According to the technical scheme, the problem that the line loss abnormity of the low-voltage transformer area is difficult to check is solved, the time stability analysis is performed on the line resistance through the electric power data of the transformation equipment and the electric power data of each user in the power supply area, the line loss abnormity is positioned according to the stability analysis result, and the reliability and scene adaptability of line loss abnormity checking are improved.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to a method, device, equipment, medium and product for troubleshooting abnormal line loss. Background Art

[0002] At present, in the power system, line losses are reduced mainly in three ways: (1) Inspectors carry infrared temperature measuring equipment to check the operation of the lines at home, find hot spots, and observe whether there are any illegal connections; (2) Electricity meters are calibrated for users with large electricity consumption in the power supply area to determine the accuracy of the meters and check whether the meters have been illegally modified; (3) Metering devices are installed at important power line nodes to calculate the management line loss of the power supply area behind the metering devices and evaluate whether there are any abnormal line losses in the power supply area.

[0003] However, the above three methods all have obvious limitations. Method (1) Infrared temperature measurement equipment cannot complete temperature measurement during the day, and inspectors work during the day and cannot conduct home inspections at night. Method (2) has little effect on low-voltage substations with small power consumption and a large number of them, and it is difficult to locate abnormal line losses. Method (3) After installing the branch metering device, it is necessary to record the power changes of all metering devices in the branch power supply area one by one, which is cumbersome and difficult to operate. Summary of the invention

[0004] The present invention provides a method, device, equipment, medium and product for troubleshooting line loss anomalies to solve the problem of difficulty in troubleshooting line loss anomalies in low-voltage substations. The time stability of the line resistance is analyzed through the power data of the transformer equipment and the power data of each user in the power supply area. According to the stability analysis result, the line loss anomaly is located, which is beneficial to improving the reliability and scenario adaptability of line loss anomaly troubleshooting.

[0005] According to one aspect of the present invention, a method for troubleshooting abnormal line loss is provided, the method comprising:

[0006] Acquire first power data and second power data collected at each sampling time within a preset troubleshooting period; wherein the first power data is power data of the transformer device, and the second power data is power data of all users associated with the transformer device;

[0007] Calculating the line resistance at each sampling moment according to the first power data and the second power data;

[0008] According to the line resistance at each sampling moment, the line loss abnormality troubleshooting result of the troubleshooting cycle is determined.

[0009] According to another aspect of the present invention, a device for checking abnormal line loss is provided, the device comprising:

[0010] A data acquisition module, used to acquire first power data and second power data collected at each sampling time within a preset troubleshooting period; wherein the first power data is power data of the transformer device, and the second power data is power data of all users associated with the transformer device;

[0011] a resistance calculation module, configured to calculate the line resistance at each sampling moment according to the first power data and the second power data;

[0012] The troubleshooting result determination module is used to determine the line loss abnormality troubleshooting result of the troubleshooting cycle according to the line resistance at each sampling moment.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the line loss abnormality troubleshooting method described in any embodiment of the present invention.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the line loss abnormality troubleshooting method described in any embodiment of the present invention when executed.

[0016] According to another aspect of the present invention, a computer program product is provided, including a computer program, wherein when the computer program is executed by a processor, the method for troubleshooting line loss anomalies described in any embodiment of the present invention is implemented.

[0017] The technical solution of the embodiment of the present invention is to obtain the first power data and the second power data collected at each sampling moment within a preset troubleshooting period; wherein the first power data is the power data of the transformer equipment, and the second power data is the power data of all users associated with the transformer equipment; the line resistance at each sampling moment is calculated according to the first power data and the second power data; and the line loss abnormality troubleshooting result of the troubleshooting period is determined according to the line resistance at each sampling moment. This technical solution solves the problem of difficulty in troubleshooting line loss abnormalities in low-voltage substations, and performs time stability analysis on line resistance through power data of transformer equipment and electric energy metering data of each user in the power supply area. According to the stability analysis results, the line loss abnormality is located, which is conducive to improving the reliability and scenario adaptability of line loss abnormality troubleshooting.

[0018] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 This is a flow chart of a method for troubleshooting abnormal line loss according to Embodiment 1 of the present invention;

[0021] Figure 2 This is a flow chart of a method for troubleshooting abnormal line loss according to Embodiment 2 of the present invention;

[0022] Figure 3 It is a structural schematic diagram of a device for troubleshooting abnormal line loss provided according to Embodiment 3 of the present invention;

[0023] Figure 4 It is a structural schematic diagram of an electronic device for implementing the line loss abnormality troubleshooting method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The acquisition, storage, use, processing, etc. of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0026] Embodiment 1

[0027] Figure 1 A flowchart of a method for troubleshooting abnormal line loss is provided for the first embodiment of the present invention. This embodiment is applicable to abnormal line loss troubleshooting scenarios of power systems, especially electricity theft troubleshooting. The method can be executed by a device for troubleshooting abnormal line loss, which can be implemented in the form of hardware and / or software, and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0028] S110, obtaining first power data and second power data collected at each sampling time within a preset troubleshooting period; wherein the first power data is power data of the transformer equipment, and the second power data is power data of all users associated with the transformer equipment.

[0029] This solution can be executed by a line management platform, and the line management platform can obtain the first power data and the second power data in the target power grid according to a preset sampling interval. The sampling interval can be a time interval of 10 minutes, 1 hour, etc., and the troubleshooting cycle can be an integer multiple of the sampling interval, for example, the sampling interval is 10 minutes and the troubleshooting cycle is one day. Therefore, a troubleshooting cycle can include multiple sampling moments.

[0030] The first power data may be power data of the transformer collected by a metering device installed on the transformer. All users associated with the transformer may be all users in the power supply area of ​​the transformer. The second power data may be power data of user lines collected by metering devices of each user in the power supply area of ​​the transformer. The metering device may be an electric energy meter, and the power data may include data such as voltage, current, and electric energy. The electric energy data may be obtained through meter line statistics.

[0031] S120: Calculate the line resistance at each sampling moment according to the first power data and the second power data.

[0032] It can be understood that after obtaining the first power data and the second power data, the line management platform can calculate the line resistance at each sampling moment based on the first power data and the second power data. For example, for the power data at the same sampling moment, the line management platform can add and sum the current data of each user in the power supply area of ​​the transformer equipment to obtain the total current of the user, and subtract the current of the transformer equipment from the total current of the user to obtain the current difference. Similarly, the line management platform can add and sum the electric energy data of each user in the power supply area of ​​the transformer equipment to obtain the total electric energy of the user, and subtract the electric energy of the transformer equipment from the total electric energy of the user to obtain the electric energy difference. The line management platform can calculate the line resistance at each sampling moment based on Joule's law, using the electric energy difference and the current difference.

[0033] S130: Determine the line loss abnormality troubleshooting result of the troubleshooting period according to the line resistance at each sampling moment.

[0034] The line management platform can perform statistical analysis on the line resistance at each sampling moment to determine whether the line resistance distribution in the time dimension is stable, and then determine the line loss abnormality troubleshooting results of the troubleshooting period. For example, the line management platform can calculate the statistical indicators such as the mean, variance, and standard deviation of the line resistance based on the line resistance at each sampling moment, and determine whether the line resistance distribution in the time dimension is stable based on the statistical indicators.

[0035] The technical solution of the embodiment of the present invention is to obtain the first power data and the second power data collected at each sampling moment within a preset troubleshooting period; wherein the first power data is the power data of the transformer equipment, and the second power data is the power data of all users associated with the transformer equipment; the line resistance at each sampling moment is calculated based on the first power data and the second power data; and the line loss abnormality troubleshooting result of the troubleshooting period is determined based on the line resistance at each sampling moment. This technical solution solves the problem of difficulty in troubleshooting line loss abnormalities in low-voltage substations, and performs time stability analysis on line resistance through power data of transformer equipment and power data of each user in the power supply area. According to the stability analysis results, the line loss abnormality is located, which is conducive to improving the reliability and scenario adaptability of line loss abnormality troubleshooting.

[0036] Embodiment 2

[0037] Figure 2 This is a flow chart of a method for troubleshooting line loss anomalies provided in Embodiment 2 of the present invention. This embodiment is based on the above embodiment and is refined. Figure 2 As shown, the method includes:

[0038] S210. Obtain first power data and second power data collected at each sampling moment within a preset troubleshooting period; wherein the first power data is the power data of the transformer equipment, and the second power data is the power data of all users associated with the transformer equipment; the power data includes current data and electric energy data.

[0039] S220, calculating the current difference at each sampling moment according to the first current data and the second current data, and calculating the electric energy difference at each sampling moment according to the first electric energy data and the second electric energy data.

[0040] In this solution, the first current data in a troubleshooting cycle can be represented by a vector I1, and the second current data in a troubleshooting cycle can be represented by a matrix I2. The expressions of I1 and I2 can be as follows:

[0041]

[0042] Each element in I1 represents a first current value at a sampling moment, each column in I2 represents second current data of a user, one element represents a second current value of a user at a sampling moment, m represents the number of users, and n represents the number of sampling moments.

[0043] The current difference at each sampling time in a troubleshooting cycle can be represented by the vector ΔI:

[0044] Wherein, k represents the user identification index.

[0045] The first electric energy data in a troubleshooting cycle can be represented by a vector W1, and the second electric energy data in a troubleshooting cycle can be represented by a matrix W2. The expressions of W1 and W2 can be as follows:

[0046]

[0047] Among them, each element in W1 represents the first electric energy value at a sampling moment, each column in W2 represents the second electric energy data of a user, an element represents the second electric energy value of a user at a sampling moment, m represents the number of users, and n represents the number of sampling moments.

[0048] The current difference at each sampling time in a troubleshooting cycle can be represented by the vector ΔW:

[0049] Wherein, k represents the user identification index.

[0050] S230 , calculating the line resistance at each sampling moment according to the current difference at each sampling moment and the electric energy difference at each sampling moment.

[0051] On the basis of the above scheme, the circuit resistance at each sampling moment is calculated according to the current difference at each sampling moment and the electric energy difference at each sampling moment, including:

[0052] According to the current difference at each sampling moment and the electric energy difference at each sampling moment, based on Joule's law, the line resistance at each sampling moment is calculated.

[0053] After obtaining the current difference and the electric energy difference at each sampling moment, the line management platform can calculate the line resistance at each sampling moment based on the current difference and the electric energy difference at each sampling moment and Joule's law. Specifically, Joule's law can be expressed as: Among them, r represents the resistance, W represents the heat energy generated by the current flowing through the resistance, I represents the current value flowing through the resistance, and t represents the duration of the current flowing through the resistance. Therefore, the line resistance at each sampling time in a troubleshooting cycle can be expressed as:

[0054]

[0055] Among them, each element in R represents the line resistance value at a sampling moment.

[0056] S240: Perform a T test based on the line resistance at each sampling moment to determine the line loss abnormality troubleshooting result of the troubleshooting period.

[0057] It is easy to understand that in order to avoid being discovered by power supply department inspectors, illegal electricity thieves do not steal electricity around the clock. They usually steal electricity by hooking up the lines late at night. Therefore, by performing a T test on the line resistance at multiple sampling times, electricity theft can be detected and abnormal line loss can be located. The T test is a statistical method used to compare whether there is a significant difference in the means of two groups of data. It is mainly used for normally distributed data with small sample content (for example, the number of samples is less than 30) and unknown overall standard deviation.

[0058] The calculation steps of the T test are:

[0059] (1) Propose a hypothesis: For example, H0: there is a line loss anomaly; H1: there is no line loss anomaly.

[0060] (2) Collect sample data: Ensure that the sample data are independent and check the homogeneity of variance.

[0061] (3) Calculate statistics: Use the formula X1 and X2 represent the means of the two groups of samples, and SE represents the standard error.

[0062] (4) Query the t distribution table: obtain the p-value. If the p-value is less than the significance level (such as 0.05), reject the null hypothesis.

[0063] In this solution, the line management platform can divide the line resistance at multiple sampling times in a troubleshooting cycle into two groups, such as G1 and G2. The expressions of G1 and G2 are as follows:

[0064]

[0065] Based on G1 and G2, the line management platform can calculate the difference d between G1 and G2, and then calculate the sample mean and standard error s d d. and d The expression is as follows:

[0066]

[0067] According to the sample mean and standard error s d , the line management platform can calculate the statistic t, and the calculation formula of t can be expressed as:

[0068]

[0069] According to the value of the statistic t, by querying the t distribution table, the line management platform can determine the line loss abnormality inspection result of the inspection period, that is, whether there is a line loss abnormality or not.

[0070] In a feasible solution, the line loss abnormality troubleshooting result is that the line loss abnormality exists or does not exist;

[0071] After determining the line loss abnormality troubleshooting result of the troubleshooting cycle, the method further includes:

[0072] If the line loss abnormality troubleshooting result is that there is no line loss abnormality, the transformer device is taken as the target transformer device, a transformer device set associated with the target transformer device is obtained, and a risk device set is determined according to the line resistance data of each transformer device in the transformer device set;

[0073] If the target transformer device is in the risk device set and the power factor of the target transformer device is higher than the preset power factor threshold, the line loss abnormality troubleshooting result is modified to indicate that there is a line loss abnormality.

[0074] Understandably, for the electricity theft behavior that has been connected to the line, the line resistance always remains stable, so it is difficult to detect such line loss anomalies through line resistance. In order to overcome the above problems, the line management platform can cluster all transformers in the target power grid according to the power supply of the transformers to obtain multiple transformer sets. The power supply of the transformers in each transformer set is the same or similar.

[0075] The line management platform can use the line resistance of each transformer in the same transformer set at the same sampling time as sample data, perform T test, and locate risky transformers. It should be noted that the abnormal line resistance of transformers in the same transformer set may be caused by electricity theft or line design defects, such as the line is too long or too thin. Therefore, in order to eliminate the abnormal line resistance of transformers caused by line design defects, the line management platform can form a risky equipment set with the risky transformers screened out in the target power grid, and obtain the reactive power of each risky transformer in the risky equipment set.

[0076] It is easy to understand that during the power transmission process, electric energy is converted into magnetic field energy, and reactive electric energy can be used to indicate the size of the magnetic field energy converted from electric energy. Based on reactive electric energy and active electric energy, the line management platform can calculate the power factor of each risk transformer. If the power factor of the risk transformer is less than the preset power factor threshold, it means that the line resistance abnormality of the risk transformer is caused by line design defects, not electricity theft, so the risk transformer can be removed from the risk equipment set. If the power factor of the risk transformer is greater than or equal to the preset power factor threshold, it means that the line resistance abnormality of the risk transformer is caused by electricity theft. After completing the power factor judgment of all risk transformers in the risk equipment set, the risk transformers remaining in the risk equipment set are transformers with abnormal line losses.

[0077] For the line loss anomaly troubleshooting result corresponding to the transformer device obtained in S240, if the line loss anomaly troubleshooting result is that there is no line loss anomaly, the transformer device is used as the target transformer device, the transformer device set associated with the target transformer device is obtained, and the risk device set is determined based on the line resistance data of each transformer device in the transformer device set. If the target transformer device is in the risk device set and the power factor of the target transformer device is higher than the preset power factor threshold, the line loss anomaly troubleshooting result corresponding to the target transformer device is modified to the existence of line loss anomaly.

[0078] In another feasible solution, the line loss abnormality troubleshooting result is that the line loss abnormality exists or does not exist;

[0079] After determining the line loss abnormality troubleshooting result of the troubleshooting cycle, the method further includes:

[0080] If the line loss abnormality troubleshooting result is that there is no line loss abnormality, the transformer device is taken as the target transformer device, a transformer device set associated with the target transformer device is obtained, and a risk device set is determined according to the line resistance data of each transformer device in the transformer device set;

[0081] If the target transformer device is in the risk device set and the voltage of the target transformer device is lower than the preset voltage threshold, the line loss abnormality troubleshooting result is modified to indicate that there is a line loss abnormality.

[0082] In order to eliminate abnormal line resistance of transformer equipment caused by line design defects, the line management platform can also obtain the voltage of each risk transformer equipment in the risk equipment set. If the voltage of the risk transformer equipment is greater than or equal to the preset voltage threshold, it means that the abnormal line resistance of the risk transformer equipment is caused by line design defects, not electricity theft, so the risk transformer equipment can be removed from the risk equipment set. If the voltage of the risk transformer equipment is less than the preset voltage threshold, it means that the abnormal line resistance of the risk transformer equipment is caused by electricity theft. After completing the voltage judgment of all risk transformer equipment in the risk equipment set, the risk transformer equipment remaining in the risk equipment set is the transformer equipment with abnormal line loss.

[0083] For the line loss anomaly troubleshooting result corresponding to the transformer device obtained in S240, if the line loss anomaly troubleshooting result is that there is no line loss anomaly, the transformer device is used as the target transformer device, the transformer device set associated with the target transformer device is obtained, and the risk device set is determined according to the line resistance data of each transformer device in the transformer device set. If the target transformer device is in the risk device set and the voltage of the target transformer device is lower than the preset voltage threshold, the line loss anomaly troubleshooting result corresponding to the target transformer device is modified to the existence of line loss anomaly.

[0084] The technical solution of the embodiment of the present invention is to obtain the first power data and the second power data collected at each sampling moment within a preset troubleshooting period; wherein the first power data is the power data of the transformer equipment, and the second power data is the power data of all users associated with the transformer equipment; the line resistance at each sampling moment is calculated based on the first power data and the second power data; and the line loss abnormality troubleshooting result of the troubleshooting period is determined based on the line resistance at each sampling moment. This technical solution solves the problem of difficulty in troubleshooting line loss abnormalities in low-voltage substations, and performs time stability analysis on line resistance through power data of transformer equipment and power data of each user in the power supply area. According to the stability analysis results, the line loss abnormality is located, which is conducive to improving the reliability and scenario adaptability of line loss abnormality troubleshooting.

[0085] Embodiment 3

[0086] Figure 3 This is a schematic diagram of the structure of a device for troubleshooting abnormal line loss provided by Embodiment 3 of the present invention. Figure 3 As shown, the device comprises:

[0087] The data acquisition module 310 is used to acquire the first power data and the second power data collected at each sampling time in a preset troubleshooting period; wherein the first power data is the power data of the transformer device, and the second power data is the power data of all users associated with the transformer device;

[0088] a resistance calculation module 320, configured to calculate the line resistance at each sampling moment according to the first power data and the second power data;

[0089] The troubleshooting result determination module 330 is used to determine the line loss abnormality troubleshooting result of the troubleshooting cycle according to the line resistance at each sampling moment.

[0090] In this solution, optionally, the power data includes current data and electric energy data;

[0091] The resistance calculation module 320 is specifically used for:

[0092] Calculating the current difference at each sampling moment according to the first current data and the second current data, and calculating the electric energy difference at each sampling moment according to the first electric energy data and the second electric energy data;

[0093] The line resistance at each sampling moment is calculated according to the current difference at each sampling moment and the electric energy difference at each sampling moment.

[0094] On the basis of the above scheme, the circuit resistance at each sampling moment is calculated according to the current difference at each sampling moment and the electric energy difference at each sampling moment, including:

[0095] According to the current difference at each sampling moment and the electric energy difference at each sampling moment, based on Joule's law, the line resistance at each sampling moment is calculated.

[0096] In this embodiment, the screening result determination module 330 is specifically used to:

[0097] A T test is performed based on the line resistance at each sampling moment to determine the line loss abnormality troubleshooting result of the troubleshooting cycle.

[0098] In a feasible solution, the line loss abnormality troubleshooting result is that the line loss abnormality exists or does not exist;

[0099] The device also includes:

[0100] A first troubleshooting result correction module is used for, after determining the line loss abnormality troubleshooting result of the troubleshooting period, if the line loss abnormality troubleshooting result is that there is no line loss abnormality, taking the transformer device as the target transformer device, obtaining a transformer device set associated with the target transformer device, and determining a risk device set according to the line resistance data of each transformer device in the transformer device set;

[0101] If the target transformer device is in the risk device set and the power factor of the target transformer device is higher than the preset power factor threshold, the line loss abnormality troubleshooting result is modified to indicate that there is a line loss abnormality.

[0102] In another feasible solution, the line loss abnormality troubleshooting result is that the line loss abnormality exists or does not exist;

[0103] The device also includes:

[0104] A second troubleshooting result correction module is used for, after determining the line loss abnormality troubleshooting result of the troubleshooting period, if the line loss abnormality troubleshooting result is that there is no line loss abnormality, taking the transformer device as the target transformer device, obtaining a transformer device set associated with the target transformer device, and determining a risk device set according to the line resistance data of each transformer device in the transformer device set;

[0105] If the target transformer device is in the risk device set and the voltage of the target transformer device is lower than the preset voltage threshold, the line loss abnormality troubleshooting result is modified to indicate that there is a line loss abnormality.

[0106] The line loss abnormality troubleshooting device provided in the embodiment of the present invention can execute the line loss abnormality troubleshooting method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0107] Embodiment 4

[0108] Figure 4 A schematic diagram of an electronic device 410 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0109] like Figure 4As shown, the electronic device 410 includes at least one processor 411, and a memory connected to the at least one processor 411 in communication, such as a read-only memory (ROM) 412, a random access memory (RAM) 413, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 411 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 412 or the computer program loaded from the storage unit 418 to the random access memory (RAM) 413. In the RAM 413, various programs and data required for the operation of the electronic device 410 can also be stored. The processor 411, the ROM 412, and the RAM 413 are connected to each other via a bus 414. An input / output (I / O) interface 415 is also connected to the bus 414.

[0110] Multiple components in the electronic device 410 are connected to the I / O interface 415, including: an input unit 416, such as a keyboard, a mouse, etc.; an output unit 417, such as various types of displays, speakers, etc.; a storage unit 418, such as a disk, an optical disk, etc.; and a communication unit 419, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 419 allows the electronic device 410 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0111] The processor 411 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 411 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 411 executes the various methods and processes described above, such as a method for troubleshooting line loss anomalies.

[0112] In some embodiments, the method for troubleshooting line loss anomalies may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 418. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 410 via the ROM 412 and / or the communication unit 419. When the computer program is loaded into the RAM 413 and executed by the processor 411, one or more steps of the method for troubleshooting line loss anomalies described above may be performed. Alternatively, in other embodiments, the processor 411 may be configured to execute the method for troubleshooting line loss anomalies in any other appropriate manner (e.g., by means of firmware).

[0113] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0114] The computer programs for implementing the method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable line loss anomaly troubleshooting device, so that when the computer programs are executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer programs may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as an independent software package, or entirely on a remote machine or server.

[0115] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0116] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0117] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0118] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0119] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0120] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for troubleshooting abnormal line loss, characterized in that: The method comprises: Acquire first power data and second power data collected at each sampling time within a preset troubleshooting period; wherein the first power data is power data of the transformer device, and the second power data is power data of all users associated with the transformer device; Calculating the line resistance at each sampling moment according to the first power data and the second power data; According to the line resistance at each sampling moment, the line loss abnormality troubleshooting result of the troubleshooting cycle is determined.

2. The method according to claim 1, characterized in that The power data includes current data and electric energy data; The calculating the line resistance at each sampling moment according to the first power data and the second power data comprises: Calculating the current difference at each sampling moment according to the first current data and the second current data, and calculating the electric energy difference at each sampling moment according to the first electric energy data and the second electric energy data; The line resistance at each sampling moment is calculated according to the current difference at each sampling moment and the electric energy difference at each sampling moment.

3. The method according to claim 2, characterized in that The calculating of the line resistance at each sampling moment according to the current difference at each sampling moment and the electric energy difference at each sampling moment comprises: According to the current difference at each sampling moment and the electric energy difference at each sampling moment, based on Joule's law, the line resistance at each sampling moment is calculated.

4. The method according to claim 1, characterized in that: Determining the line loss abnormality troubleshooting result of the troubleshooting cycle according to the line resistance at each sampling moment includes: A T test is performed based on the line resistance at each sampling moment to determine the line loss abnormality troubleshooting result of the troubleshooting cycle.

5. The method according to claim 1, characterized in that The line loss abnormality troubleshooting result is that line loss abnormality exists or line loss abnormality does not exist; After determining the line loss abnormality troubleshooting result of the troubleshooting cycle, the method further includes: If the line loss abnormality troubleshooting result is that there is no line loss abnormality, the transformer device is taken as the target transformer device, a transformer device set associated with the target transformer device is obtained, and a risk device set is determined according to the line resistance data of each transformer device in the transformer device set; If the target transformer device is in the risk device set and the power factor of the target transformer device is higher than the preset power factor threshold, the line loss abnormality troubleshooting result is modified to the existence of line loss abnormality.

6. The method according to claim 1, characterized in that The line loss abnormality troubleshooting result is that line loss abnormality exists or line loss abnormality does not exist; After determining the line loss abnormality troubleshooting result of the troubleshooting cycle, the method further includes: If the line loss abnormality troubleshooting result is that there is no line loss abnormality, the transformer device is taken as the target transformer device, a transformer device set associated with the target transformer device is obtained, and a risk device set is determined according to the line resistance data of each transformer device in the transformer device set; If the target transformer device is in the risk device set and the voltage of the target transformer device is lower than the preset voltage threshold, the line loss abnormality troubleshooting result is modified to indicate that there is a line loss abnormality.

7. A device for checking abnormal line loss, characterized in that: The device comprises: A data acquisition module, used to acquire first power data and second power data collected at each sampling time within a preset troubleshooting period; wherein the first power data is power data of the transformer device, and the second power data is power data of all users associated with the transformer device; a resistance calculation module, configured to calculate the line resistance at each sampling moment according to the first power data and the second power data; The troubleshooting result determination module is used to determine the line loss abnormality troubleshooting result of the troubleshooting cycle according to the line resistance at each sampling moment.

8. An electronic device, characterized in that: The electronic device comprises: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the line loss abnormality troubleshooting method described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the line loss abnormality troubleshooting method according to any one of claims 1 to 6 when executed.

10. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for troubleshooting line loss anomalies according to any one of claims 1 to 6 is implemented.

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