An electric energy metering device abnormality analysis method and system

Abstract

The application discloses a kind of electric energy metering device abnormality analysis method and system including according to user historical power consumption purpose parameter, historical power consumption equipment parameter and other historical power consumption data parameter, establish user abnormality determination database;Collect real-time user power consumption data, and compare the user abnormality determination database, obtain determination result;The determination result is transmitted to confirmation terminal, and abnormality problem confirmation is carried out.The application is realized to the fluctuation of household power consumption information by setting electric energy metering abnormality analysis system, to determine the problem of fluctuation in time according to power consumption habit and power consumption information, information is transmitted in time by remote information transmission, reach the purpose of monitoring, improve power consumption safety.

Description

Technical Field

[0001] This invention relates to the field of electricity metering technology, and in particular to a method and system for anomaly analysis of electricity metering devices. Background Technology

[0002] In most households, electricity consumption is recorded using electricity meters. However, for households with minors, it is necessary to install electrical protection devices to ensure electrical safety.

[0003] In real life, there are often situations where minors or people lacking self-control are home alone. In such cases, family members may worry about their electrical safety. Existing remote video monitoring devices are unable to accurately monitor and control their electricity usage, thus failing to provide timely assistance. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a method and system for anomaly analysis of electricity metering devices, which can solve the problems mentioned in the background art.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for anomaly analysis of an electricity metering device, comprising:

[0008] Establish a user anomaly detection database based on users' historical electricity consumption purpose parameters, historical electrical equipment parameters, and other historical electricity consumption data parameters;

[0009] Collect real-time user electricity consumption data and compare it with the user anomaly detection database to obtain the detection result;

[0010] The determination result is transmitted to the confirmation terminal for confirmation of the abnormal problem.

[0011] An anomaly analysis system for an electricity metering device is characterized by comprising a metering unit, an anomaly analysis unit, an alarm unit, a display unit, a judgment unit, a transmission unit, and a confirmation unit.

[0012] The metering unit is used to accurately calculate the real-time electricity consumption data and abnormal information data of different users based on their different electricity consumption situations, and to save historical data and calculate and obtain a historical standard database.

[0013] The anomaly analysis unit is used to compare and analyze real-time data with standard data, mark different types of abnormal data, and obtain the difference between different types of abnormal data and corresponding standard data.

[0014] An alarm unit is used to sound alarms in different modes based on the analysis results of the anomaly analysis unit.

[0015] The display unit is used to accurately display the data obtained by the metering unit and the anomaly analysis unit, classify and display the anomaly analysis results, and realize the user's real-time monitoring of electricity consumption.

[0016] The judgment unit is used to judge the anomaly according to the anomaly value obtained by the anomaly analysis unit.

[0017] A transmission unit is used to transmit the result determined by the determination unit to the terminal via wireless data.

[0018] The confirmation unit is used to perform manual confirmation based on the result determined by the determination unit.

[0019] As a preferred embodiment of the power metering device anomaly analysis system of the present invention, the anomaly analysis unit includes:

[0020] When the metering unit acquires data according to the user-defined usage area, the anomaly analysis unit performs analysis based on the anomaly information data generated by the metering unit. When the metering unit detects fluctuations in the user's electricity consumption within the area, it generates an anomaly data.

[0021] After receiving abnormal data, the anomaly analysis unit obtains the type of appliance that generated the abnormal data, retrieves the data stored by the metering unit before the anomaly occurred, and calculates the corresponding difference.

[0022] If the abnormal data is not zero compared to the data before the abnormality occurred, the abnormal analysis unit marks the abnormal data as the Nth abnormal data X, and marks the difference between the abnormal data value and the corresponding data before the abnormality occurred as the Nth abnormal difference X, where X is the name of the corresponding appliance, N is the number of abnormalities generated by the appliance in the current period, and the period is 1 hour.

[0023] After the anomaly analysis is completed for the cycle, the anomaly data generated by the metering unit and the anomaly analysis unit within the cycle are summarized, named as the Mth cycle history file, and uploaded to the cloud server, where M is the number of cycles generated within a week.

[0024] As a preferred embodiment of the abnormal analysis system for the power metering device described in this invention, the determination unit includes:

[0025] When the anomaly analysis unit obtains the Nth abnormal data X and the Nth abnormal difference X, it transmits the data to the judgment unit. The judgment unit then classifies and judges the Nth abnormal data X and the Nth abnormal difference X in conjunction with the historical standard database obtained by the measurement unit.

[0026] The historical standard database includes high power consumption standard data XY, low power consumption standard data X, and constant power consumption standard data X. The high power consumption standard data XY is the standard data of appliance X when it is running at high power, where Y is the number of different high power types, assigned values ​​from smallest to largest power. The low power consumption standard data X is the standard data of appliance X when it is running at low power. The constant power consumption standard data X is the standard data of appliance X when it is running at normal power. The low power operation function is the state when plugged in but not working.

[0027] The difference between the high power consumption standard data XY and the constant power consumption standard data X is recorded as the Y-th constant high difference, and the difference between the constant power consumption standard data X and the low power consumption standard data X is recorded as the constant low difference, wherein the constant low difference is negative.

[0028] As a preferred embodiment of the abnormal analysis system for the power metering device described in this invention, the determination unit further includes:

[0029] When the determination unit obtains the Nth abnormal data X, it compares the Nth abnormal data X with the constant power consumption standard data X. If the Nth abnormal data X is greater than the constant power consumption standard data X, it compares the Nth abnormal difference X with the Yth constant power consumption difference.

[0030] If the Nth abnormal difference X is equal to any Yth constant difference, then the abnormality is determined to be a normal fluctuation and is recorded as the first non-abnormal value.

[0031] If the Nth abnormal difference X is not equal to any Yth constant power difference, then the difference between the Nth abnormal difference X and the constant power is recorded as the first abnormal difference, and the difference between the Nth abnormal difference X and the maximum power value is recorded as the first standard deviation. Further determine the numerical relationship between the first abnormal difference and the first standard deviation.

[0032] If the first abnormality is greater than 1.41 * the first standard deviation, the abnormality is determined to be an electrical fault, and the determination unit directly sends the electrical fault information to the alarm unit.

[0033] If the first abnormality difference is less than 1.41 * the first standard deviation and greater than the first standard deviation, then the abnormality is determined to be a circuit fault abnormality, and the determination unit directly sends the circuit fault information to the alarm unit.

[0034] If the first abnormality is less than the first standard deviation and greater than zero, the abnormality is determined to be a circuit jitter abnormality. The determination unit sends the circuit jitter information to the transmission unit, and the transmission unit transmits the circuit jitter information to the confirmation unit. If the confirmation unit confirms that there is no abnormality, it ignores this information. If it confirms that there is an abnormality, it transmits the circuit jitter information to the alarm unit.

[0035] As a preferred embodiment of the abnormal analysis system for the power metering device described in this invention, the determination unit further includes:

[0036] If the Nth abnormal data X is less than the constant power consumption standard data X, then the Nth abnormal difference X is compared with the constant low difference.

[0037] If the Nth abnormal difference X is equal to the constant low difference, then the abnormality is determined to be a normal fluctuation and is recorded as the second non-abnormal value.

[0038] If the Nth abnormal difference value X is not equal to the constant low difference value, the numerical relationship between the Nth abnormal difference value X and the constant low difference value is determined. When the Nth abnormal difference value X is less than the constant low difference value, a first-level short circuit is determined inside the appliance, and the determination unit directly sends the first-level short circuit information inside the appliance to the alarm unit.

[0039] When the Nth abnormal difference X is greater than the constant low difference and less than zero, a secondary short circuit is determined inside the appliance, and the determination unit directly sends the secondary short circuit information inside the appliance to the alarm unit.

[0040] As a preferred embodiment of the abnormal analysis system for the power metering device described in this invention, the alarm unit includes:

[0041] When the alarm unit receives electrical fault information transmitted from the judgment unit, the alarm unit directly shuts off the power supply to the user, sounds a level one buzzer alarm, and sends a level one alarm message to the terminal.

[0042] When the alarm unit receives circuit fault information transmitted from the judgment unit, it locks the circuit section, cuts off all connections to the circuit, sounds a secondary buzzer alarm, and sends a secondary alarm message to the terminal.

[0043] When the alarm unit receives circuit jitter information transmitted from the transmission unit, it directly sounds a level three buzzer alarm and sends level three alarm information to the terminal.

[0044] When the alarm unit receives a Level 1 short circuit information inside the appliance transmitted from the judgment unit, it directly sends a Level 4 alarm information to the terminal. After receiving the information, the terminal reminds the user to repurchase the appliance.

[0045] When the alarm unit receives a level 2 short circuit information inside the appliance transmitted from the judgment unit, it directly sends a level 5 alarm information to the terminal. After receiving the information, the terminal reminds the user to repair the appliance.

[0046] As a preferred embodiment of the abnormal analysis system for the power metering device described in this invention, the determination unit further includes:

[0047] When the determination unit determines that the abnormal information is not an abnormal value, the measurement unit recalibrates and re-measures the data.

[0048] A computer device includes a memory and a processor, the memory storing a computer program, characterized in that the processor executes the computer program to implement the steps of the method described above.

[0049] A computer-readable storage medium having a computer program stored thereon, characterized in that the computer program, when executed by a processor, implements the steps of the method described above.

[0050] The beneficial effects of this invention are as follows: This invention proposes a method and system for anomaly analysis of electricity metering devices. By setting up an electricity metering anomaly analysis system, this invention enables real-time judgment of fluctuations in household electricity consumption information. Based on electricity consumption habits and information, problems caused by fluctuations can be determined in a timely manner. Information can be transmitted remotely to achieve the purpose of monitoring and improve electricity safety. Attached Figure Description

[0051] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0052] Figure 1 A flowchart of a method and system for anomaly analysis of an electricity metering device provided in one embodiment of the present invention;

[0053] Figure 2 This is an internal structural diagram of a computer device for an abnormality analysis method and system of an electricity metering device provided in one embodiment of the present invention. Detailed Implementation

[0054] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0055] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0056] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0057] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0058] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0059] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0060] Example 1

[0061] Reference Figure 1-2This is the first embodiment of the present invention, which provides a method and system for anomaly analysis of an electricity metering device, including:

[0062] Step 102: Establish a user anomaly detection database based on the user's historical electricity consumption purpose parameters, historical electrical equipment parameters, and other historical electricity consumption data parameters;

[0063] Step 104: Collect real-time user electricity consumption data and compare it with the user anomaly judgment database to obtain the judgment result;

[0064] Step 106: Transmit the judgment result to the confirmation terminal to confirm the abnormal problem.

[0065] An anomaly analysis system for an electricity metering device, characterized in that it includes a metering unit 201, an anomaly analysis unit 202, an alarm unit 203, a display unit 204, a judgment unit 205, a transmission unit 206, and a confirmation unit 207.

[0066] Metering unit 201 is used to accurately calculate the real-time electricity consumption data and abnormal information data of users according to the different electricity consumption of different users, and save historical data to calculate and obtain a historical standard database.

[0067] The anomaly analysis unit 202 is used to compare and analyze real-time data with standard data, mark different types of abnormal data, and obtain the difference between different types of abnormal data and corresponding types of standard data.

[0068] Alarm unit 203 is used to sound alarms in different modes based on the analysis results of anomaly analysis unit 202;

[0069] The display unit 204 is used to accurately display the data obtained by the metering unit 201 and the anomaly analysis unit 202, classify and display the anomaly analysis results, and realize the user's real-time monitoring of electricity consumption.

[0070] The judgment unit 205 is used to judge the anomaly according to the anomaly value obtained by the anomaly analysis unit 202.

[0071] Transmission unit 206 is used to transmit the result determined by determination unit 205 to terminal via wireless data;

[0072] The confirmation unit 207 is used to perform manual confirmation based on the result of the determination unit 205.

[0073] It should be noted that the anomaly analysis unit 202 includes the following: when the metering unit 201 acquires data according to the user-defined usage area, the anomaly analysis unit 202 performs analysis operations based on the anomaly information data generated by the metering unit 201. When the metering unit 201 detects fluctuations in the user's electricity consumption within the area, it generates an anomaly data.

[0074] Furthermore, after receiving abnormal data, the anomaly analysis unit 202 obtains the type of electrical appliance that generated the abnormal data, retrieves the data stored in the metering unit 201 before the anomaly occurred, and solves for the corresponding difference.

[0075] Furthermore, if the abnormal data is not zero compared to the data before the abnormality occurred, the abnormality analysis unit 202 marks the abnormal data as the Nth abnormal data X, and marks the difference between the abnormal data value and the corresponding data before the abnormality occurred as the Nth abnormal difference X, where X is the name of the corresponding appliance, N is the number of abnormalities generated by the appliance in the current period, and the period is 1 hour.

[0076] It should be noted that after the anomaly analysis is completed for the cycle, the abnormal data generated by the metering unit 201 and the anomaly analysis unit 202 within the cycle are summarized, named the Mth cycle historical file, and uploaded to the cloud server, where M is the number of cycles generated within a week.

[0077] Furthermore, the determination unit 205 includes the following: after the anomaly analysis unit 202 obtains the Nth abnormal data X and the Nth abnormal difference X, the data is transmitted to the determination unit 205, and the determination unit 205 classifies and judges the Nth abnormal data X and the Nth abnormal difference X in conjunction with the historical standard database obtained by the measurement unit 201.

[0078] It should be noted that the historical standard database includes high power consumption standard data XY, low power consumption standard data X, and constant power consumption standard data X. High power consumption standard data XY is the standard data for appliance X when it is running at high power, and Y is the number of different types of high power, which are assigned values ​​in ascending order of power. Low power consumption standard data X is the standard data for appliance X when it is running at low power, and constant power consumption standard data X is the standard data for appliance X when it is running at normal power. The low power operation function is the state when plugged in but not working.

[0079] Furthermore, the difference between the high electricity consumption standard data XY and the constant electricity consumption standard data X is recorded as the Y-th constant high difference, and the difference between the constant electricity consumption standard data X and the low electricity consumption standard data X is recorded as the constant low difference, with the constant low difference being negative.

[0080] Furthermore, the determination unit 205 also includes, when the determination unit 205 obtains the Nth abnormal data X, it performs a numerical judgment between the Nth abnormal data X and the constant power consumption standard data X. If the Nth abnormal data X is greater than the constant power consumption standard data X, it compares the Nth abnormal difference X with the Yth constant power consumption difference.

[0081] Furthermore, if the Nth abnormal difference X is equal to any Yth constant difference, then the abnormality is determined to be a normal fluctuation and is recorded as the first non-abnormal value.

[0082] Furthermore, if the Nth abnormal difference X is not equal to any Yth constant power difference, then the difference between the Nth abnormal difference X and the constant power is recorded as the first abnormal difference, and the difference between the Nth abnormal difference X and the maximum power value is recorded as the first standard deviation. The numerical relationship between the first abnormal difference and the first standard deviation is further determined.

[0083] Furthermore, if the first abnormality difference is greater than 1.41 * the first standard deviation, the abnormality is determined to be an electrical fault, and the determination unit 205 directly sends the electrical fault information to the alarm unit 203.

[0084] Furthermore, if the first abnormal difference is less than 1.41 * the first standard deviation and greater than the first standard deviation, then the abnormality is determined to be a circuit fault abnormality, and the determination unit 205 directly sends the circuit fault information to the alarm unit 203.

[0085] It should be noted that if the first abnormality is less than the first standard deviation and greater than zero, the abnormality is determined to be a circuit jitter abnormality. The determination unit 205 sends the circuit jitter information to the transmission unit 206, and the transmission unit 206 transmits the circuit jitter information to the confirmation unit 207. If the confirmation unit 207 confirms that there is no abnormality, it ignores this information. If it confirms that there is an abnormality, it transmits the circuit jitter information to the alarm unit 203.

[0086] Furthermore, the determination unit 205 also includes: if the Nth abnormal data X is less than the constant power consumption standard data X, then the Nth abnormal difference X is compared with the constant power consumption difference.

[0087] Furthermore, if the Nth abnormal difference X is equal to the constant low difference, then the abnormality is determined to be a normal fluctuation and recorded as the second non-abnormal value.

[0088] Furthermore, if the Nth abnormal difference X is not equal to the constant low difference, the numerical relationship between the Nth abnormal difference X and the constant low difference is determined. When the Nth abnormal difference X is less than the constant low difference, a first-level short circuit is determined inside the appliance, and the determination unit 205 directly sends the first-level short circuit information inside the appliance to the alarm unit 203.

[0089] It should be noted that when the Nth abnormal difference X is greater than the constant low difference and less than zero, a secondary short circuit is determined in the appliance, and the determination unit 205 directly sends the secondary short circuit information of the appliance to the alarm unit 203.

[0090] Furthermore, the alarm unit 203 includes the following: when the alarm unit 203 receives electrical fault information transmitted from the judgment unit 205, the alarm unit 203 directly shuts off the power supply to the user, sounds a first-level buzzer alarm, and sends a first-level alarm message to the terminal.

[0091] Furthermore, when the alarm unit 203 receives circuit fault information transmitted from the judgment unit 205, it locks the circuit section, cuts off all connections to the circuit, sounds a secondary buzzer alarm, and sends secondary alarm information to the terminal.

[0092] Furthermore, when the alarm unit 203 receives circuit jitter information transmitted from the transmission unit 206, it directly sounds a level three buzzer alarm and sends level three alarm information to the terminal.

[0093] Furthermore, when the alarm unit 203 receives the first-level short circuit information inside the appliance transmitted from the judgment unit 205, it directly sends the fourth-level alarm information to the terminal. After receiving the information, the terminal reminds the user to repurchase the appliance.

[0094] Furthermore, when the alarm unit 203 receives the internal secondary short circuit information of the appliance transmitted from the judgment unit 205, it directly sends the fifth-level alarm information to the terminal. After receiving the information, the terminal reminds the user to repair the appliance.

[0095] It should be noted that the determination unit 205 also includes a function whereby when the determination unit 205 determines that the abnormal information is a non-abnormal value, the measurement unit 201 recalibrates and re-measures the data.

[0096] The above-mentioned unit modules can be embedded in the processor of the computer device in hardware form or independent of it, or they can be stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of the above modules.

[0097] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 2As shown, the computer device includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a method for anomaly analysis of an electricity metering device. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device casing, or an external keyboard, touchpad, or mouse.

[0098] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0099] Establish a user anomaly detection database based on users' historical electricity consumption purpose parameters, historical electrical equipment parameters, and other historical electricity consumption data parameters;

[0100] Collect real-time user electricity consumption data and compare it with the user anomaly detection database to obtain the detection results;

[0101] The judgment result is transmitted to the confirmation terminal to confirm the abnormal problem.

[0102] Example 2

[0103] Reference Figure 1-2 As an embodiment of the present invention, a method and system for anomaly analysis of an electricity metering device are provided. In order to verify the beneficial effects of the present invention, a comparative experiment is conducted for scientific demonstration.

[0104] Table 1. Usage of this invention in a user's household.

[0105]

[0106] This invention proposes a method and system for anomaly analysis of electricity metering devices. By setting up an electricity metering anomaly analysis system, this invention enables real-time judgment of fluctuations in household electricity consumption information. Based on electricity consumption habits and information, it promptly identifies problems caused by fluctuations and transmits the information in a timely manner through remote information transmission, thereby achieving the purpose of monitoring and improving electricity safety.

[0107] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0108] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0109] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0110] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0111] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1The steps of the function specified in one or more boxes.

[0112] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0113] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for anomaly analysis of an electricity metering device, characterized in that: include, Establish a user anomaly detection database based on users' historical electricity consumption purpose parameters, historical electrical equipment parameters, and other historical electricity consumption data parameters; The user anomaly determination database includes a historical standard database, which includes high power consumption standard data for XY, low power consumption standard data for X, and constant power consumption standard data for X. The high power consumption standard data for XY is the standard data for appliance X when operating at high power, where Y represents the number of different high-power types, assigned values ​​from smallest to largest power. The low power consumption standard data for X is the standard data for appliance X when operating at low power, and the constant power consumption standard data for X is the standard data for appliance X when operating at normal power. The difference between the high power consumption standard data of XY and the constant power consumption standard data of X is recorded as the constant high difference value of Y, and the difference between the constant power consumption standard data of X and the low power consumption standard data of X is recorded as the constant low difference value. Collect real-time user electricity consumption data and compare it with the user anomaly judgment database to obtain the judgment result; when a fluctuation in real-time user electricity consumption data is detected, an abnormal data is generated, which is recorded as the Nth abnormal data of X. The difference between the abnormal data value and the data before the corresponding anomaly is generated is recorded as the Nth abnormal difference of X, where X is the name of the corresponding appliance and N is the number of anomalies generated by the appliance within the cycle. The determination result obtained includes: If the Nth abnormal data of X is greater than the constant power consumption standard data of X, then the Nth abnormal difference of X is compared with the Yth constant power difference: if the Nth abnormal difference of X is equal to any Yth constant power difference, then the abnormality is determined to be a normal fluctuation; otherwise, the difference between the Nth abnormal difference of X and the constant power is recorded as the first abnormal difference, and the difference between the Nth abnormal difference of X and the maximum power value is recorded as the first standard deviation. Furthermore, the abnormality type is determined to be an electrical fault abnormality, a circuit fault abnormality, or a circuit jitter abnormality based on the numerical relationship between the first abnormal difference and the first standard deviation. If the Nth abnormal data of X is less than the constant power consumption standard data of X, then the Nth abnormal difference of X is compared with the constant low difference: if the Nth abnormal difference of X is equal to the constant low difference, then the abnormality is determined to be a normal fluctuation; otherwise, the short circuit level is determined to be a first-level short circuit or a second-level short circuit according to the numerical relationship between the Nth abnormal difference of X and the constant low difference. The determination result is transmitted to the confirmation terminal for confirmation of the abnormal problem.

2. An anomaly analysis system for an electricity metering device using the method described in claim 1, characterized in that: It includes a metering unit (201), an anomaly analysis unit (202), an alarm unit (203), a display unit (204), a judgment unit (205), a transmission unit (206), and a confirmation unit (207). The metering unit (201) is used to accurately calculate the real-time electricity consumption data and abnormal information data of users according to the different electricity consumption of different users, and save the historical data and calculate and obtain the historical standard database. Anomaly analysis unit (202) is used to compare and analyze real-time data with standard data, mark different types of abnormal data, and obtain the difference between different types of abnormal data and corresponding types of standard data. An alarm unit (203) is used to sound alarms in different modes based on the analysis results of the anomaly analysis unit (202); The display unit (204) is used to accurately display the data obtained by the metering unit (201) and the anomaly analysis unit (202), and to classify and display the anomaly analysis results so as to enable users to monitor the electricity consumption in real time. The judgment unit (205) is used to judge the anomaly by different levels based on the anomaly value obtained by the anomaly analysis unit (202); The transmission unit (206) is used to transmit the result determined by the determination unit (205) to the terminal via wireless data. The confirmation unit (207) is used to perform manual confirmation based on the result determined by the determination unit (205).

3. The power metering device anomaly analysis system as described in claim 2, characterized in that: The anomaly analysis unit (202) includes, When the metering unit (201) acquires data according to the user-defined usage area, the anomaly analysis unit (202) performs analysis operations based on the anomaly information data generated by the metering unit (201). When the metering unit (201) detects fluctuations in the user's electricity consumption within the area, it generates an anomaly data. After receiving abnormal data, the anomaly analysis unit (202) obtains the type of electrical appliance that generated the abnormal data, retrieves the data stored in the metering unit (201) before the anomaly occurred through the anomaly analysis unit (202), and solves the corresponding difference. If the abnormal data is not zero compared with the data before the abnormality occurred, the abnormal analysis unit (202) marks the abnormal data as the Nth abnormal data of X, and marks the difference between the abnormal data value and the corresponding data before the abnormality occurred as the Nth abnormal difference of X, where X is the name of the corresponding appliance, N is the number of abnormalities generated by the appliance in the period, and the period is 1 hour. After the anomaly analysis is completed for the cycle, the abnormal data generated by the metering unit (201) and the anomaly analysis unit (202) within the cycle are summarized, named as the Mth cycle history file, and uploaded to the cloud server, where M is the number of cycles generated within a week.

4. The power metering device anomaly analysis system as described in claim 3, characterized in that: The determination unit (205) includes, When the anomaly analysis unit (202) obtains the Nth abnormal data of X and the Nth abnormal difference of X, it transmits the data to the judgment unit (205). The judgment unit (205) classifies and judges the Nth abnormal data of X and the Nth abnormal difference of X in conjunction with the historical standard database obtained by the measurement unit (201). The historical standard database includes high power consumption standard data for XY, low power consumption standard data for X, and constant power consumption standard data for X. The high power consumption standard data for XY is the standard data for appliance X when operating at high power. Y represents the number of different high-power types, assigned values ​​from smallest to largest power. The low power consumption standard data for X is the standard data for appliance X when operating at low power. The constant power consumption standard data for X is the standard data for appliance X when operating at normal power. The low power operation function is the state when plugged in but not working. The difference between the high power consumption standard data of XY and the constant power consumption standard data of X is recorded as the constant high difference value of Y, and the difference between the constant power consumption standard data of X and the low power consumption standard data of X is recorded as the constant low difference value, wherein the constant low difference value is negative.

5. The power metering device anomaly analysis system as described in claim 4, characterized in that: The determination unit (205) also includes, When the determination unit (205) obtains the Nth abnormal data of X, it makes a numerical judgment between the Nth abnormal data of X and the constant power consumption standard data of X. If the Nth abnormal data of X is greater than the constant power consumption standard data of X, it compares the Nth abnormal difference of X with the Yth constant power consumption difference. If the Nth abnormal difference of X is equal to any Yth constant difference, then the abnormality is determined to be a normal fluctuation and is recorded as the first non-abnormal value. If the Nth abnormal difference of X is not equal to any Yth constant power difference, then the difference between the Nth abnormal difference of X and the constant power is recorded as the first abnormal difference, and the difference between the Nth abnormal difference of X and the maximum power value is recorded as the first standard deviation. Further determine the numerical relationship between the first abnormal difference and the first standard deviation. If the first abnormality is greater than 1.41 * the first standard deviation, the abnormality is determined to be an electrical fault, and the determination unit (205) directly sends the electrical fault information to the alarm unit (203). If the first abnormality difference is less than 1.41 * the first standard deviation and greater than the first standard deviation, then the abnormality is determined to be a circuit fault abnormality, and the determination unit (205) directly sends the circuit fault information to the alarm unit (203). If the first abnormality is less than the first standard deviation and greater than zero, the abnormality is determined to be a circuit jitter abnormality. The determination unit (205) sends the circuit jitter information to the transmission unit (206). The transmission unit (206) transmits the circuit jitter information to the confirmation unit (207). If the confirmation unit (207) confirms that there is no abnormality, it ignores this information. If it confirms that there is an abnormality, it transmits the circuit jitter information to the alarm unit (203).

6. The power metering device anomaly analysis system as described in claim 5, characterized in that: The determination unit (205) also includes, If the Nth abnormal data of X is less than the constant power consumption standard data of X, then the Nth abnormal difference of X is compared with the constant low difference. If the Nth abnormal difference of X is equal to the constant low difference, then the abnormality is determined to be a normal fluctuation and is recorded as the second non-abnormal value. If the Nth abnormal difference of X is not equal to the constant low difference, the numerical relationship between the Nth abnormal difference of X and the constant low difference is determined. When the Nth abnormal difference of X is less than the constant low difference, the electrical appliance is determined to have a first-level short circuit. The determination unit (205) directly sends the first-level short circuit information of the electrical appliance to the alarm unit (203). When the Nth abnormal difference of X is greater than the constant low difference and less than zero, a secondary short circuit is determined in the appliance, and the determination unit (205) directly sends the secondary short circuit information of the appliance to the alarm unit (203).

7. The power metering device anomaly analysis system as described in claim 6, characterized in that: The alarm unit (203) includes, When the alarm unit (203) receives electrical fault information transmitted from the judgment unit (205), the alarm unit (203) directly shuts off the power supply to the user, sounds a first-level buzzer alarm, and sends a first-level alarm message to the terminal. When the alarm unit (203) receives circuit fault information transmitted from the judgment unit (205), it locks the circuit part, cuts off all parts connected to the circuit, sounds a secondary buzzer alarm, and sends secondary alarm information to the terminal. When the alarm unit (203) receives the circuit jitter information transmitted from the transmission unit (206), it directly performs a level three buzzer alarm and sends level three alarm information to the terminal. When the alarm unit (203) receives the first-level short circuit information inside the appliance transmitted from the judgment unit (205), it directly sends the fourth-level alarm information to the terminal. After receiving the information, the terminal reminds the user to repurchase the appliance. When the alarm unit (203) receives the internal secondary short circuit information of the appliance transmitted from the judgment unit (205), it directly sends the fifth-level alarm information to the terminal. After receiving the information, the terminal reminds the user to repair the appliance.

8. The power metering device anomaly analysis system as described in claim 7, characterized in that: The determination unit (205) also includes, When the determination unit (205) determines that the abnormal information is a non-abnormal value, the measurement unit (201) recalibrates and re-measures the data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method of claim 1.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method of claim 1.

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