An abnormal diagnosis method and device for an electrical power system, and a readable storage medium

Abstract

The present application discloses a method and device for diagnosing abnormalities in an electrical power consumption system, and a readable storage medium, relating to the field of electronic circuits. The method for diagnosing abnormalities in the electrical power consumption system provided by the present application determines whether the electrical power consumption system is operating normally by counting metering gates and whether the secondary short circuit and the electrical power consumption system opening time meet preset conditions. Compared with the existing abnormality diagnosis methods for specific scenarios, since the data involved in the method for diagnosing abnormalities in the electrical power consumption system of the present application can be obtained on basically all electrical power consumption systems and do not show specific differences due to the use of the electrical power consumption system, it is possible to obtain whether various different electrical power consumption systems are operating normally through the above data, so the applicability is relatively strong.

Description

Technical Field

[0001] The present application relates to the field of electronic circuits, and particularly to a method and device for diagnosing anomalies in an electricity consumption system, and a readable storage medium. Background Art

[0002] In recent years, with the gradual expansion of the application field of the electricity consumption information acquisition system and the remarkable improvement of the application effect, the acquisition system can generate various anomalies such as electricity consumption, line loss, and anti-theft by comparing and analyzing the electricity energy data of users, and the master station and operation and maintenance personnel can diagnose and process various anomaly data to improve the metering acquisition quality.

[0003] Existing methods for diagnosing anomalies in electricity consumption systems are usually single diagnostic models. For example, there are dedicated models for public basic types such as household electricity meters, metering basic models for factory projects, and line loss basic models, etc. The above are all specific methods for specific scenarios, usually only targeting the functional uses of the electricity consumption system, and detecting one or several key data of it. For example, for public basic models, mainly by detecting the fluctuations in electricity consumption, etc. Therefore, the pertinence is strong, but the versatility is not high.

[0004] In view of the above technology, finding a method for diagnosing anomalies in electricity consumption systems with higher versatility is an urgent problem for those skilled in the art. Summary of the Invention

[0005] The purpose of the present application is to provide a method for diagnosing anomalies in an electricity consumption system, so as to solve the problem that the existing methods for diagnosing anomalies in electricity consumption systems are relatively single and have low versatility.

[0006] To solve the above technical problems, the present application provides a method for diagnosing anomalies in an electricity consumption system, including:

[0007] Obtain the opening and closing time of the metering door of the electricity consumption system, the secondary short-circuit electricity quantity, and the opening time of the electricity meter cover;

[0008] If the opening and closing time of the metering door of the electricity consumption system, the secondary short-circuit electricity quantity, and the opening time of the electricity meter cover all meet their respective preset conditions, determine that the electricity consumption system is normal;

[0009] If any one does not meet the corresponding preset condition, determine that the electricity consumption system is abnormal.

[0010] Preferably, determining whether the opening and closing time of the metering door of the electricity consumption system meets the preset condition includes:

[0011] Obtain the first opening time and the installation time of the metering door;

[0012] Screen out the second opening time of the metering door other than the normal situation from the first opening time;

[0013] Determine whether the difference between the second opening time and the installation time is greater than a first threshold;

[0014] If not, determine that the opening and closing time of the metering door of the power consumption system is abnormal;

[0015] If so, determine that the opening and closing time of the metering door of the power consumption system is normal.

[0016] Preferably, determining whether the secondary short-circuit power meets a preset condition includes:

[0017] Obtain whether the power difference of the power consumption system within a first preset time before and a first preset time after the occurrence of the secondary short-circuit event exceeds a second threshold;

[0018] If the power difference does not exceed the second threshold, determine that the power consumption system is abnormal;

[0019] If the power difference exceeds the second threshold, determine whether the power fluctuation within a first preset time before and a first preset time after the occurrence of the secondary short-circuit event is lower than the second threshold / 4;

[0020] If the power fluctuation is higher than the second threshold / 4, determine that the secondary short-circuit power of the power consumption system is abnormal;

[0021] If the power fluctuation is lower than the second threshold / 4, determine that the secondary short-circuit power of the power consumption system is normal.

[0022] Preferably, determining whether the opening time of the electric energy meter meets a preset condition includes:

[0023] Obtain the most recent opening event of the electric energy meter, and determine the difference between the time of the opening event of the electric energy meter and the installation time of the electric energy meter;

[0024] Determine whether the difference between the time of the opening event of the electric energy meter and the installation time of the electric energy meter is greater than a third threshold;

[0025] If so, the opening time of the electric energy meter of the power consumption system is normal;

[0026] If not, the opening time of the electric energy meter of the power consumption system is abnormal.

[0027] Preferably, the method further includes:

[0028] Obtain the status word of the switch button box of the electric energy meter within a third preset time period;

[0029] According to the status word, determine whether the difference between the opening time of the start button box of the electric energy meter and the installation time of the electric energy meter is greater than a time threshold;

[0030] If so, the power consumption system is normal;

[0031] If not, the power consumption system is abnormal.

[0032] Preferably, the method further includes:

[0033] If the power consumption system has two identical abnormal events within the same time period, it is determined that the second abnormal event is invalid.

[0034] Preferably, the method further includes:

[0035] When the power consumption system is abnormal, control the alarm device to issue an alarm.

[0036] To solve the above problems, the present application also provides a power consumption system abnormal diagnosis device, including:

[0037] An acquisition module, configured to acquire the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the opening time of the energy meter cover;

[0038] A determination module, configured to determine that the power consumption system is normal when the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the opening time of the energy meter cover all meet their respective corresponding preset conditions;

[0039] A judgment module, configured to judge that the power consumption system is abnormal when any one of the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the opening time of the energy meter cover does not meet the corresponding preset condition.

[0040] To solve the above problems, the present application also provides a power consumption system abnormal diagnosis device, including a memory for storing a computer program;

[0041] A processor, configured to implement the steps of the power consumption system abnormal diagnosis method as described above when executing the computer program.

[0042] To solve the above problems, the present application also provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the power consumption system abnormal diagnosis method as described above.

[0043] The power consumption system abnormal diagnosis method provided by the present application determines whether the power consumption system is working properly by counting whether the metering door, the secondary short circuit, and the opening time of the power consumption system cover meet the preset conditions. Compared with the existing abnormal diagnosis methods for specific scenarios, since the data involved in the power consumption system abnormal diagnosis method of the present application can be obtained on basically all power consumption systems and do not show specific differences due to the use of the power consumption system, it is possible to obtain whether various different power consumption systems are working properly through the above data acquisition, so the applicability is relatively strong.

[0044] The power consumption system abnormality diagnosis device and readable storage medium provided by this application correspond to the above method, and the beneficial effects are the same as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] To more clearly illustrate the embodiments of this application, the following will briefly introduce the drawings required for the embodiments. Obviously, the drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0046] Figure 1 It is a flowchart of a power consumption system abnormality diagnosis method provided by an embodiment of this application;

[0047] Figure 2 It is a schematic diagram of a power consumption system abnormality diagnosis device provided by an embodiment of this application;

[0048] Figure 3 It is a structural diagram of a power consumption system abnormality diagnosis device provided by another embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0049] The following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the drawings in the embodiments of this application. Obviously, the described embodiments are only some embodiments of this application, rather than all embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the protection scope of this application.

[0050] The purpose of this application is to provide a power consumption system abnormality diagnosis method to facilitate solving the problem that the current power consumption system abnormality diagnosis methods are relatively single and have low versatility.

[0051] The fusion model is a comprehensive diagnosis model. Based on existing diagnosis and recovery models for various power consumption abnormalities, line loss abnormalities, etc., or some single models, it is fused according to the principles of "model abstraction layering, fusion application, comprehensive diagnosis, and intelligent recommendation". The fusion model helps to combine typical business application scenarios, improve the diagnostic accuracy of the model, further improve the accuracy of diagnosing abnormal information and fault information, and complete the investigation and handling of various abnormalities through the intelligent analysis of the master station and on-site maintenance, effectively improving the operation and maintenance quality and efficiency. This solution is a series of improvements carried out through the thinking of the fusion model.

[0052] To enable those skilled in the art to better understand the solution of this application, the following will further elaborate on this application in combination with the drawings and specific implementation manners.

[0053] Figure 1 A flowchart of a method for diagnosing abnormalities in an electrical power system provided by an embodiment of the present application. As Figure 1 shown, the method includes:

[0054] S10: Obtain the opening and closing times of the metering door of the electrical power system, the secondary short - circuit power consumption, and the opening time of the electricity meter cover.

[0055] The metering door is the switch of the electricity meter of the electrical power system. Obtaining the opening and closing times of the metering door means obtaining the opening time and the corresponding closing time of the metering door. In this embodiment, the number of times of obtaining the opening and closing times of the metering door, as well as the specific obtaining process, etc. are not limited.

[0056] The primary short - circuit and secondary short - circuit in the circuit represent different short - circuit positions, and cannot be simply understood as short - circuit once and short - circuit twice. In the circuit, taking the transformer as the boundary, the input end is also called the primary end, and the output end is also called the secondary end. If a short - circuit occurs at the input end (primary end), it is called a primary short - circuit; if a short - circuit occurs at the output end (secondary end), it is called a secondary short - circuit. It can be understood that the secondary short - circuit power consumption mentioned in this embodiment is the relevant power consumption change when a secondary short - circuit event occurs. In this embodiment, the number of times of obtaining the secondary short - circuit power consumption and the specific obtaining process are not limited.

[0057] The electricity meter is an instrument used to measure electric energy, also known as a watt - hour meter, a fire meter, a kilowatt - hour meter, referring to an instrument for measuring various electrical quantities. In the case of low voltage (not exceeding 500 volts) and small current (tens of amperes), the electricity meter can be directly connected to the circuit for measurement. In the case of high voltage or large current, the electricity meter cannot be directly connected to the line and needs to be used in conjunction with a voltage transformer or a current transformer. In this embodiment, the specific method of obtaining the opening time of the electricity meter cover is not limited. It should be noted that the opening time of the electricity meter cover in this embodiment refers to a specific time point when the electricity meter cover is opened, such as opening the cover at 2 pm the previous day, rather than the duration from opening the cover to closing the cover.

[0058] S11: Judge whether the opening and closing times of the metering door of the electrical power system, the secondary short - circuit power consumption, and the opening time of the electricity meter cover all meet their respective preset conditions. If so, enter S12; if not, enter S13.

[0059] It should be noted that the preset conditions corresponding to the opening and closing times of the metering door of the electrical power system, the secondary short - circuit power consumption, and the opening time of the electricity meter cover are different. For example, the opening and closing time of the metering door of the electrical power system can be greater than a certain specific value, etc. In this embodiment, the preset conditions corresponding to the above three judgment schemes are not limited, as long as they can judge whether the electrical power system has an abnormality.

[0060] S12: Determine that the electrical power system is normal.

[0061] S13: Determine that the power consumption system is abnormal.

[0062] It should be noted that after determining that the power consumption system is normal or abnormal, it is usually reported to the user side for subsequent processing. In this embodiment, the subsequent steps after the determination of the power consumption system status are not limited.

[0063] The power consumption system abnormal diagnosis method provided by this application determines whether the power consumption system is working properly by counting the metering door, as well as whether the secondary short - circuit and the power consumption system opening time meet the preset conditions. Compared with the existing abnormal diagnosis methods for specific scenarios, since the data involved in the power consumption system abnormal diagnosis method of this application can be obtained on basically all power consumption systems, without showing specific differences due to the use of the power consumption system, it can be determined whether various different power consumption systems are working properly through the above - mentioned data acquisition, so the applicability is relatively strong.

[0064] In the above - mentioned embodiment, how to determine whether the opening and closing time of the metering door of the power consumption system meets the preset conditions is not limited. Here, a preferred solution is proposed. Determining whether the opening and closing time of the metering door of the power consumption system meets the preset conditions includes:

[0065] Obtain the first opening time of the metering door and the installation time;

[0066] Screen out the second opening time of the metering door except for normal situations from the first opening time;

[0067] Determine whether the difference between the second opening time and the installation time is greater than the first threshold;

[0068] If not, determine that the opening and closing time of the metering door of the power consumption system is abnormal;

[0069] If so, determine that the opening and closing time of the metering door of the power consumption system is normal.

[0070] It should be noted that in this embodiment, the specific metering device and related steps for obtaining the first opening time of the metering door and the installation time are not limited. It can be obtained in real - time or by calling the data recorded by relevant devices. It can be understood that the normal situation refers to the normal opening and closing of the metering door, such as the situation of initial installation and normal work orders. For normal work orders, it refers to the daily maintenance of the metering door, etc. Except for the above - mentioned situations, the opening and closing of the metering door are all abnormal situations, and corresponding statistics can be carried out. In this embodiment, the specific value of the first threshold and its corresponding generation method are not limited. It can be understood that generally, it is obtained through multiple metering door time data and the corresponding status tests of the related power consumption systems.

[0071] In this embodiment, it is defined how to determine whether the metering door of the power consumption system is normal by measuring the opening and closing time of the metering door, so as to determine whether the power consumption system is normal and whether there are any abnormal situations according to this information. Moreover, the acquisition of the opening and closing time of the metering door is simple and easy to calculate. Therefore, the technical difficulty and technical cost required for detection are reduced.

[0072] In the above embodiment, the preset conditions for judging the secondary short-circuit power are not defined. Here, a preferred solution is proposed. Judging whether the secondary short-circuit power meets the preset conditions includes:

[0073] Obtaining whether the power difference of the power consumption system within the first preset time before and the first preset time after the occurrence of the secondary short-circuit event exceeds the second threshold;

[0074] If the power difference does not exceed the second threshold, it is determined that the power consumption system is abnormal;

[0075] If the power difference exceeds the second threshold, it is judged whether the power fluctuation within the first preset time before and the first preset time after the occurrence of the secondary short-circuit event is lower than the second threshold / 4;

[0076] If the power fluctuation is higher than the second threshold / 4, it is determined that the secondary short-circuit power of the power consumption system is abnormal;

[0077] If the power fluctuation is lower than the second threshold / 4, it is determined that the secondary short-circuit power of the power consumption system is normal.

[0078] It should be noted that in this embodiment, the time before and after the first preset time in the secondary short-circuit event is the relevant detection time period. For example, the corresponding power is detected one day before and one day after the occurrence of the event, and the difference is obtained by subtracting the powers. Moreover, in this embodiment, the magnitude of the second threshold is not limited. For the second preset time, it can be understood that it is an extension of two time periods before and after a corresponding event based on the first preset time. For example, if the first preset time is one day before and one day after the event, the second preset time is two days before and two days after the event. And in this embodiment, the specific time points of the first preset time and the second preset time are not limited, and the detection device for obtaining the power is also not limited. It is preferably detected by an inspection instrument. In this embodiment, the specific value of the second threshold and its corresponding generation method are not limited. It can be understood that it is generally obtained from multiple secondary short-circuit data and the corresponding state tests of the related power consumption systems.

[0079] In this embodiment, by measuring the secondary short-circuit power, it is detected whether the power consumption system is normal and whether there are any abnormal situations. The acquisition is simple and easy to calculate. Therefore, the technical difficulty and technical cost required for detection are reduced.

[0080] In the above embodiments, there is no limitation on determining whether the opening time of the electricity meter meets the preset conditions. Here, a preferred solution is proposed. Determining whether the opening time of the electricity meter meets the preset conditions includes:

[0081] Obtain the most recent electricity meter opening event, and determine the difference between the time of the electricity meter opening event and the installation time of the electricity meter;

[0082] Judge whether the difference between the time of the electricity meter opening event and the installation time of the electricity meter is greater than the third threshold;

[0083] If so, the secondary short - circuit power of the power consumption system is normal;

[0084] If not, the secondary short - circuit power of the power consumption system is abnormal.

[0085] In this embodiment, there is no specific limitation on the type of the electricity meter and the device and method for obtaining the opening time of the electricity meter. However, generally, the opening information of the electricity meter can be directly obtained by using the data of the collection main station.

[0086] In this embodiment, by measuring the opening time of the electricity meter, it is possible to detect whether the power consumption system is normal and whether there are any abnormal situations. The acquisition is simple and easy to calculate, and it can be directly extracted from the existing device, thus reducing the technical difficulty and technical cost required for detection.

[0087] Considering that the corresponding status information can also be obtained through the switch button box of the electricity meter, here a preferred solution is proposed. This method further includes:

[0088] Obtain the status word of the switch button box of the electricity meter within the third preset time period;

[0089] According to the status word, judge whether the difference between the time when the start button box of the electricity meter is opened and the installation time of the electricity meter is greater than the time threshold;

[0090] If so, the power consumption system is normal;

[0091] If not, the power consumption system is abnormal.

[0092] The status word, also known as the channel status word, is a fixed unit arranged in the main memory to record the execution status of the channel and the device. Channel status word: After the channel is started, it controls the specified device to complete the specified operation. At the same time, during the process of the channel executing the control of the peripheral device, it is necessary to record the execution status of the channel and the device. For this reason, the system arranges another fixed unit in the main memory to store these recorded statuses, and this fixed unit is called the channel status word.

[0093] Generally speaking, when performing the above steps, the normal starting terminal box of the electric energy meter needs to be excluded, such as in the case of initial installation and normal work orders, and at the same time, the situation of time logic errors in the starting terminal box needs to be excluded. In this embodiment, the third preset time is not limited. By detecting whether the difference between the time of the starting terminal box and the installation time of the electric energy meter is greater than the threshold value, it is judged whether the power consumption system is normal. The data acquisition is convenient, the solution is simple, and the applicability is strong.

[0094] Considering that the power consumption system may have multiple failures within a period of time, for the convenience of processing, a preferred solution is proposed here. The method further includes:

[0095] If the power consumption system has two identical abnormal events within the same period of time, it is determined that the second abnormal event is invalid.

[0096] It should be noted that the "same" mentioned here means that the abnormal states are completely the same. For example, the power fluctuations do not meet the preset range and the fluctuation values are equal. In this case, only the first abnormal event needs to be processed, and the second is generally the same derivative of the first event, thus saving labor costs.

[0097] Considering that when the power consumption system is abnormal, the user needs to be reminded to handle it in time, a preferred solution is proposed here. The method further includes:

[0098] When the power consumption system is abnormal, control the alarm device to issue an alarm.

[0099] By issuing an alarm, the user is prompted to handle the abnormal event in time, ensuring the safety of the power consumption system and preventing abnormal events such as electricity theft from causing harm to the power consumption system.

[0100] In the above embodiment, the method for diagnosing the abnormality of the power consumption system is described in detail. The present application also provides an embodiment corresponding to the device for diagnosing the abnormality of the power consumption system. It should be noted that the present application describes the embodiment of the device part from two perspectives, one is from the perspective of functional modules, and the other is from the perspective of hardware.

[0101] Figure 2 The following is a schematic diagram of a device for diagnosing the abnormality of the power consumption system provided by an embodiment of the present application. The device includes:

[0102] An acquisition module 10, configured to acquire the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the time when the electric energy meter cover is opened;

[0103] A determination module 11, configured to determine that the power consumption system is normal when the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the time when the electric energy meter cover is opened all meet their respective preset conditions;

[0104] A determination module 12, configured to determine that the power consumption system is abnormal when any one of the opening and closing time of the metering door, the secondary short-circuit power, and the opening of the energy meter of the power consumption system does not meet the corresponding preset condition.

[0105] Since the embodiments of the device part correspond to the embodiments of the method part, for the embodiments of the device part and their corresponding beneficial effects, please refer to the description of the embodiments of the method part, which will not be elaborated here for the time being.

[0106] Figure 3 The structure diagram of the power consumption system abnormality diagnosis device provided by another embodiment of the present application is as Figure 3 shown. The power consumption system abnormality diagnosis device includes: a memory 20, configured to store a computer program;

[0107] a processor 21, configured to implement the steps of the power consumption system abnormality diagnosis method mentioned in the above embodiments when executing the computer program.

[0108] The power consumption system abnormality diagnosis device provided in this embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, etc.

[0109] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in at least one hardware form of a digital signal processor (DSP), a field programmable gate array (FPGA), or a programmable logic array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor used to process data in the wake state, also known as a central processing unit (CPU); the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may be integrated with a graphics processing unit (GPU), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may further include an artificial intelligence (AI) processor, and the AI processor is used to process computational operations related to machine learning.

[0110] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash storage devices. In this embodiment, the memory 20 is at least used to store the following computer program 201. After the computer program is loaded and executed by the processor 21, it can implement the relevant steps of the abnormal diagnosis method of the power consumption system disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202, data 203, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 202 may include Windows, Unix, Linux, etc. The data 203 may include, but is not limited to, the data involved in the abnormal diagnosis method of the power consumption system described above.

[0111] In some embodiments, the abnormal diagnosis device of the power consumption system may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0112] Those skilled in the art can understand that Figure 3 the structure shown in

[0113] does not constitute a limitation on the abnormal diagnosis device of the power consumption system, and may include more or fewer components than those shown in the figure.

[0114] Since the embodiments of the device part correspond to the embodiments of the method part, for the embodiments of the device part and their corresponding beneficial effects, please refer to the description of the embodiments of the method part, and will not be elaborated here for the time being.

[0115] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. A computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, it implements the steps recorded in the method embodiment as described above.

[0116] It can be understood that if the methods in the above embodiments are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs that can store program codes.

[0117] Since the embodiments of the readable storage medium correspond to the embodiments of the method part, for the embodiments of the device part and their corresponding beneficial effects, please refer to the description of the embodiments of the method part, which will not be elaborated here for the time being.

[0118] The abnormal diagnosis method, device, and readable storage medium provided by the present application have been introduced in detail above. The various embodiments in the specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the device disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple. For the relevant parts, please refer to the description in the method part. It should be noted that for those of ordinary skill in the art in the technical field of the present application, without departing from the principle of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

[0119] It should also be noted that in this specification, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitations, an element defined by the statement "including an..." does not exclude the existence of additional identical elements in the process, method, article, or device including the said element.

Claims

1. An abnormal diagnosis method for an electricity consumption system, characterized in that, it includes: Obtain the opening and closing time of the metering door of the electricity consumption system, the secondary short-circuit power consumption, and the opening time of the electricity meter cover; If the opening and closing time of the metering door of the electricity consumption system, the secondary short-circuit power consumption, and the opening time of the electricity meter cover all meet their respective corresponding preset conditions, determine that the electricity consumption system is normal; If any one does not meet the corresponding preset condition, it is determined that the electricity consumption system is abnormal; Among them, determining whether the secondary short-circuit power consumption meets the preset condition includes: Obtain whether the power consumption difference of the electricity consumption system within the first preset time before and the first preset time after the secondary short-circuit event occurs exceeds a second threshold; If the power consumption difference does not exceed the second threshold, it is determined that the electricity consumption system is abnormal; If the power consumption difference exceeds the second threshold, determine whether the power consumption fluctuation within the first preset time before and the first preset time after the secondary short-circuit event occurs is lower than the second threshold / 4; If the power consumption fluctuation is higher than the second threshold / 4, it is determined that the secondary short-circuit power consumption of the electricity consumption system is abnormal; If the power consumption fluctuation is lower than the second threshold / 4, it is determined that the secondary short-circuit power consumption of the electricity consumption system is normal; Among them, the secondary short-circuit is the output end of the circuit bounded by the transformer.

2. The abnormal diagnosis method for an electricity consumption system according to claim 1, characterized in that, Determining whether the opening and closing time of the metering door of the electricity consumption system meets the preset condition includes: Obtain the first opening time and the installation time of the metering door; Select the second opening time of the metering door excluding normal situations from the first opening time; Determine whether the difference between the second opening time and the installation time is greater than a first threshold; If not, it is determined that the opening and closing time of the metering door of the electricity consumption system is abnormal; If so, it is determined that the opening and closing time of the metering door of the electricity consumption system is normal.

3. The abnormal diagnosis method for an electricity consumption system according to claim 1, characterized in that, Determining whether the opening time of the electricity meter cover meets the preset condition includes: Obtain the most recent electricity meter cover opening event, and determine the difference between the time of the electricity meter cover opening event and the installation time of the electricity meter; Determine whether the difference between the time of the electricity meter cover opening event and the installation time of the electricity meter is greater than a third threshold; If so, the opening time of the electricity meter cover of the electricity consumption system is normal; If not, the opening time of the electricity meter cover of the electricity consumption system is abnormal.

4. The abnormal diagnosis method for an electricity consumption system according to any one of claims 1 to 3, characterized in that, it further includes: Obtain the status word of the switch button box of the electricity meter within the third preset time period; According to the status word, determine whether the difference between the start button box time of the electricity meter and the installation time of the electricity meter is greater than the time threshold; If so, the electricity consumption system is normal; If not, the electricity consumption system is abnormal.

5. The abnormal diagnosis method for an electricity consumption system according to claim 4, characterized in that, it further includes: If the electricity consumption system has two identical abnormal events within the same time period, it is determined that the second abnormal event is invalid.

6. The abnormal diagnosis method for the power consumption system according to claim 5, characterized in that, it further includes: when the power consumption system is abnormal, controlling an alarm device to issue an alarm.

7. An abnormal diagnosis device for the power consumption system, characterized in that, it includes: an acquisition module, configured to acquire the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the opening time of the energy meter cover; a determination module, configured to determine that the power consumption system is normal when the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the opening time of the energy meter cover all meet their respective corresponding preset conditions; a judgment module, configured to judge that the power consumption system is abnormal when any one of the opening and closing time of the metering door of the power consumption system, the secondary short-circuit power consumption, and the opening time of the energy meter cover does not meet the corresponding preset condition; wherein, judging whether the secondary short-circuit power consumption meets the preset condition includes: acquiring whether the power consumption difference of the power consumption system within the first preset time before and the first preset time after the occurrence of the secondary short-circuit event exceeds a second threshold; if the power consumption difference does not exceed the second threshold, determining that the power consumption system is abnormal; if the power consumption difference exceeds the second threshold, judging whether the power consumption fluctuation within the first preset time before and the first preset time after the occurrence of the secondary short-circuit event is lower than the second threshold / 4; if the power consumption fluctuation is higher than the second threshold / 4, determining that the secondary short-circuit power consumption of the power consumption system is abnormal; if the power consumption fluctuation is lower than the second threshold / 4, determining that the secondary short-circuit power consumption of the power consumption system is normal; wherein, the secondary short-circuit is the output end of the circuit bounded by the transformer.

8. An abnormal diagnosis device for the power consumption system, characterized in that, it includes a memory for storing a computer program; a processor, configured to implement the steps of the abnormal diagnosis method for the power consumption system according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that, a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the steps of the abnormal diagnosis method for the power consumption system according to any one of claims 1 to 6 are implemented.

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