Digital power grid fault analysis system

Abstract

The invention discloses a digital power grid fault analysis system which comprises a fault analysis host, a display screen installed on the front side face of the fault analysis host, an adjustable supporting frame installed on the rear side face of the fault analysis host, a plurality of data transmission interfaces installed on the two sides of the fault analysis host respectively, and a control circuit board installed in an inner cavity of the fault analysis host. The fault analysis host is connected with a power grid operation state collector installed in a power grid, and the fault analysis host is further in signal connection with a background monitoring terminal. The working principle is simple, the intelligent degree is high, the real-time monitoring of the power grid operation state can be realized, once the power grid is monitored to be abnormal, the power grid fault can be identified and analyzed immediately, and the fault analysis efficiency is improved. And monitored abnormal results can be sent to a background monitoring terminal in real time for technicians to refer to and dispose.

Description

Technical Field

[0001] The invention relates to the technical field of power grid fault analysis, and in particular to a digital power grid fault analysis system. Background Art

[0002] In the power industry, the safe operation of the power grid plays a very important role in the entire power supply system. Therefore, it is crucial to analyze and diagnose power grid operation failures, and then handle the failures that occur to ensure smooth communication and prevent accidents.

[0003] Traditional power grid fault analysis generally collects all the data of the front-end fault power grid operation, and analyzes the collected power grid fault operation data based on personal experience to determine the fault solution. However, this method cannot monitor and analyze power grid faults in real time, which affects the efficiency of power grid operation. Therefore, it is necessary to design a digital power grid fault analysis system. Summary of the invention

[0004] The purpose of the present invention is to provide a digital power grid fault analysis system to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a digital power grid fault analysis system, comprising a fault analysis host, a display screen is installed on the front side of the fault analysis host, an adjustable support frame is installed on the rear side of the fault analysis host, a plurality of data transmission interfaces are installed on both sides of the fault analysis host, a control circuit board is installed in the inner cavity of the fault analysis host, the fault analysis host is connected to a power grid operation status collector installed in the power grid, and the fault analysis host is also connected to the background monitoring terminal signal.

[0006] Preferably, the present application provides a digital power grid fault analysis system, wherein a processor module, a power grid data acquisition module, a power grid data storage module, a power grid fault frequency analysis module, a power grid operation fault analysis module, a fault data feature extraction module, a fault type classification module, a fault result output module and a data transmission module are installed on the control circuit board, the input end of the power grid data acquisition module is connected to the power grid operation status collector, the output end of the power grid data acquisition module is connected to the processor module, the power grid data storage module, the power grid fault frequency analysis module, the power grid operation fault analysis module, the fault data feature extraction module, the fault type classification module, and the fault result output module are respectively connected to the processor module, and the processor module is connected to the background monitoring terminal through the data transmission module, wherein the power grid data acquisition module is used to collect power grid operation status data; the power grid data storage module is used to store power grid operation data; the power grid fault frequency analysis module is used to analyze the power grid fault frequency; the power grid operation fault analysis module is used to analyze the power grid operation fault situation; the fault data feature extraction module is used to extract power grid fault data features; the fault type classification module is used to classify power grid fault types; and the fault result output module is used to output power grid fault results.

[0007] Preferably, the present application provides a digital power grid fault analysis system, wherein a background data management center is set in the background monitoring terminal, and the background data management center includes a power grid data storage module, a power grid data processing module, a power grid operation prediction module and a decision and control module;

[0008] The power grid data storage module is used to receive and store power grid data;

[0009] The power grid data processing module is used to determine the current power grid operation status and perform fault identification and fault location by analyzing and mining the data information in the data storage module;

[0010] The power grid operation prediction module is used to predict the future operation status of the power grid based on the historical data information in the power grid data storage module and the acquired real-time data information;

[0011] The decision-making and control module is used to generate an operation plan for the power grid according to the power grid analysis and prediction results, and issue early warning and correction control commands to the power grid control terminal according to the operation plan.

[0012] Preferably, the present application provides a digital power grid fault analysis system, wherein the power grid data storage module stores historical power grid fault information, current operation information and historical operation information;

[0013] The historical fault information of the power grid includes the total number of occurrences of each fault type within each historical set time period;

[0014] The current operation information includes the voltage value, current value and load quantity at each monitoring time point;

[0015] The historical operation information includes the voltage value, current value and load quantity at each monitoring time point on each day within the historical set time period.

[0016] Preferably, the present application provides a digital power grid fault analysis system, wherein the method of using the system comprises the following steps:

[0017] A. The power grid operation status collector collects the power grid operation status data and transmits it to the processor module after being collected by the power grid data acquisition module;

[0018] B. The processor module stores the collected power grid operation data in the power grid data storage module;

[0019] C. If an abnormal power grid operation signal is detected, the power grid fault frequency analysis module immediately analyzes the fault frequency;

[0020] D. At the same time, the power grid operation fault analysis module analyzes the fault;

[0021] E. The fault data feature extraction module extracts the fault data feature signal, and the fault type classification module classifies the fault type;

[0022] F. The classified fault signal is output through the fault result output module and transmitted to the background monitoring terminal for analysis and disposal.

[0023] Preferably, in the digital power grid fault analysis system provided by the present application, the fault data feature extraction module extraction method is as follows:

[0024] a. Establish a data set, wherein the data set includes multiple sub-data sets to be extracted features;

[0025] b. Perform feature training on the data set to obtain a training model;

[0026] c. Extract the first keyword and the second keyword in the data set;

[0027] d. Circularly search each sub-data set in the data set, using the first keyword and the second keyword as initial conditions to search the sub-data set;

[0028] e. If the first keyword or the second keyword is matched in each sub-data set, the carbon emission data is extracted.

[0029] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention has a simple working principle and a high degree of intelligence, and can realize real-time monitoring of the operation status of the power grid. Once a power grid abnormality is detected, the power grid fault can be immediately identified and analyzed, and the monitored abnormal results can be sent to the background monitoring terminal in real time for technical personnel to refer to and deal with; the background data management center of the present invention can collect, store, analyze and calculate the global information of the power grid, judge and locate power grid faults, predict and control the operation status of the power grid, and ensure the safe and stable operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the structure of the present invention;

[0031] Figure 2 This is the control principle of the present invention;

[0032] Figure 3 This is a principle block diagram of the background data management center of the present invention;

[0033] Figure 4 It is the work flow chart of the present invention;

[0034] In the figure: fault analysis host 1, display screen 2, data transmission interface 3, power grid operation status collector 4, background monitoring terminal 5, processor module 6, power grid data acquisition module 7, data storage module 8, power grid fault frequency analysis module 9, power grid operation fault analysis module 10, fault data feature extraction module 11, fault type classification module 12, fault result output module 13, data transmission module 14, background data management center 15, the background data management center 15 includes power grid data storage module 16, power grid data processing module 17, power grid operation prediction module 18, decision and control module 19. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] It should be noted that when an element is referred to as being "fixed on" or "set on" another element, it can be directly on the other element or indirectly set on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element.

[0037] It should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0038] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "multiple" and "several" mean two or more, unless otherwise clearly and specifically defined.

[0039] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions that can be implemented in this application, so they have no substantial technical significance. Any modification of the structure, change in the proportional relationship, or adjustment of the size should still fall within the scope of the technical content disclosed in this application without affecting the effects that can be produced by this application and the purposes that can be achieved. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of narration, and are not used to limit the scope of the implementation of this application. The change or adjustment of their relative relationship should also be regarded as the scope of the implementation of this application without substantial change in the technical content.

[0040] See also Figure 1-4 The present invention provides a technical solution: a digital power grid fault analysis system, comprising a fault analysis host 1, a display screen 2 is installed on the front side of the fault analysis host 1, an adjustable support frame is installed on the rear side of the fault analysis host 1, a plurality of data transmission interfaces 3 are installed on both sides of the fault analysis host 1, a control circuit board is installed in the inner cavity of the fault analysis host 1, the fault analysis host 1 is connected to a power grid operation status collector 4 installed in the power grid, and the fault analysis host 1 is also connected to a background monitoring terminal 5 signal.

[0041] Among them, a processor module 6, a power grid data acquisition module 7, a data storage module 8, a power grid fault frequency analysis module 9, a power grid operation fault analysis module 10, a fault data feature extraction module 11, a fault type classification module 12, a fault result output module 13 and a data transmission module 14 are installed on the control circuit board. The input end of the power grid data acquisition module 7 is connected to the power grid operation status collector 4, and the output end of the power grid data acquisition module 7 is connected to the processor module 6. The data storage module 8, the power grid fault frequency analysis module 9, the power grid operation fault analysis module 10, the fault data feature extraction module 11, the fault type classification module 12, The fault result output module 13 is connected to the processor module 6 respectively, and the processor module 6 is connected to the background monitoring terminal 5 through the data transmission module 14, wherein the power grid data acquisition module is used to collect power grid operation status data; the power grid data storage module is used to store power grid operation data; the power grid fault occurrence frequency analysis module is used to analyze the frequency of power grid faults; the power grid operation fault analysis module is used to analyze the power grid operation fault situation; the fault data feature extraction module is used to extract power grid fault data features; the fault type classification module is used to classify power grid fault types; and the fault result output module is used to output power grid fault results.

[0042] In the present invention, a background data management center 15 is set in the background monitoring terminal 5, and the background data management center 15 includes a power grid data storage module 16, a power grid data processing module 17, a power grid operation prediction module 18 and a decision and control module 19;

[0043] The power grid data storage module is used to receive and store power grid data;

[0044] The power grid data processing module is used to determine the current power grid operation status and perform fault identification and fault location by analyzing and mining the data information in the data storage module;

[0045] The power grid operation prediction module is used to predict the future operation status of the power grid based on the historical data information in the power grid data storage module and the acquired real-time data information;

[0046] The decision-making and control module is used to generate an operation plan for the power grid according to the power grid analysis and prediction results, and issue early warning and correction control commands to the power grid control terminal according to the operation plan.

[0047] The background data management center of the present invention can collect, store, analyze and calculate the whole-domain information of the power grid, judge and locate the faults of the power grid, predict and control the operation status of the power grid, and ensure the safe and stable operation of the power grid.

[0048] In the present invention, the data storage module 8 stores historical fault information, current operation information and historical operation information of the power grid;

[0049] The historical fault information of the power grid includes the total number of occurrences of each fault type within each historical set time period;

[0050] The current operation information includes the voltage value, current value and load quantity at each monitoring time point;

[0051] The historical operation information includes the voltage value, current value and load quantity at each monitoring time point on each day within the historical set time period.

[0052] Working principle: The method of using the present invention comprises the following steps:

[0053] A. The power grid operation status collector collects the power grid operation status data and transmits it to the processor module after being collected by the power grid data acquisition module;

[0054] B. The processor module stores the collected power grid operation data in the power grid data storage module;

[0055] C. If an abnormal power grid operation signal is detected, the power grid fault frequency analysis module immediately analyzes the fault frequency;

[0056] D. At the same time, the power grid operation fault analysis module analyzes the fault;

[0057] E. The fault data feature extraction module extracts the fault data feature signal, and the fault type classification module classifies the fault type;

[0058] F. The classified fault signal is output through the fault result output module and transmitted to the background monitoring terminal for analysis and disposal.

[0059] Among them, the fault data feature extraction module extraction method is as follows:

[0060] a. Establish a data set, wherein the data set includes multiple sub-data sets to be extracted features;

[0061] b. Perform feature training on the data set to obtain a training model;

[0062] c. Extract the first keyword and the second keyword in the data set;

[0063] d. Circularly search each sub-data set in the data set, using the first keyword and the second keyword as initial conditions to search the sub-data set;

[0064] e. If the first keyword or the second keyword is matched in each sub-data set, the carbon emission data is extracted.

[0065] To sum up, the present invention has a simple working principle and a high degree of intelligence. It can realize real-time monitoring of the operating status of the power grid. Once a power grid abnormality is detected, the power grid fault can be immediately identified and analyzed, and the monitored abnormal results can be sent to the background monitoring terminal in real time for reference and disposal by technical personnel.

[0066] The circuits, electronic components and modules involved are all prior art and can be fully implemented by those skilled in the art. Needless to say, the content protected by the present invention does not involve improvements to software and methods.

[0067] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A digital power grid fault analysis system, comprising a fault analysis host (1), characterized in that: A display screen (2) is installed on the front side of the fault analysis host (1), an adjustable support frame is installed on the rear side of the fault analysis host (1), a plurality of data transmission interfaces (3) are installed on both sides of the fault analysis host (1), a control circuit board is installed in the inner cavity of the fault analysis host (1), the fault analysis host (1) is connected to a power grid operation status collector (4) installed in the power grid, and the fault analysis host (1) is also connected to a background monitoring terminal (5) by signal.

2. A digital power grid fault analysis system according to claim 1, characterized in that: The control circuit board is provided with a processor module (6), a power grid data acquisition module (7), a data storage module (8), a power grid fault occurrence frequency analysis module (9), a power grid operation fault analysis module (10), a fault data feature extraction module (11), a fault type classification module (12), a fault result output module (13) and a data transmission module (14); an input end of the power grid data acquisition module (7) is connected to a power grid operation status collector (4); an output end of the power grid data acquisition module (7) is connected to the processor module (6); and the data storage module (8), the power grid fault occurrence frequency analysis module (9), the power grid operation fault analysis module (10), the fault data feature extraction module (11), the fault type classification module (12), the fault result output module (13) and the data transmission module (14) are connected to the power grid operation status collector (4). The fault type classification module (12) and the fault result output module (13) are respectively connected to the processor module (6), and the processor module (6) is connected to the background monitoring terminal (5) via the data transmission module (14), wherein the power grid data acquisition module is used to collect power grid operation status data; the power grid data storage module is used to store power grid operation data; the power grid fault occurrence frequency analysis module is used to analyze the power grid fault occurrence frequency; the power grid operation fault analysis module is used to analyze the power grid operation fault situation; the fault data feature extraction module is used to extract power grid fault data features; the fault type classification module is used to classify power grid fault types; and the fault result output module is used to output power grid fault results.

3. A digital power grid fault analysis system according to claim 1, characterized in that: A backend data management center (15) is arranged in the backend monitoring terminal (5), and the backend data management center (15) comprises a power grid data storage module (16), a power grid data processing module (17), a power grid operation prediction module (18) and a decision and control module (19); The power grid data storage module is used to receive and store power grid data; The power grid data processing module is used to determine the current power grid operation status and perform fault identification and fault location by analyzing and mining the data information in the data storage module; The power grid operation prediction module is used to predict the future operation status of the power grid based on the historical data information in the power grid data storage module and the acquired real-time data information; The decision-making and control module is used to generate an operation plan for the power grid according to the power grid analysis and prediction results, and issue early warning and correction control commands to the power grid control terminal according to the operation plan.

4. A digital power grid fault analysis system according to claim 2, characterized in that: The data storage module (8) stores historical power grid fault information, current operation information and historical operation information; The historical fault information of the power grid includes the total number of occurrences of each fault type within each historical set time period; The current operation information includes the voltage value, current value and load quantity at each monitoring time point; The historical operation information includes the voltage value, current value and load quantity at each monitoring time point on each day within the historical set time period.

5. A method for using a digital power grid fault analysis system according to claim 1, characterized in that: The method of use includes the following steps: A. The power grid operation status collector collects the power grid operation status data and transmits it to the processor module after being collected by the power grid data acquisition module; B. The processor module stores the collected power grid operation data in the power grid data storage module; C. If an abnormal power grid operation signal is detected, the power grid fault frequency analysis module immediately analyzes the fault frequency; D. At the same time, the power grid operation fault analysis module analyzes the fault; E. The fault data feature extraction module extracts the fault data feature signal, and the fault type classification module classifies the fault type; F. The classified fault signal is output through the fault result output module and transmitted to the background monitoring terminal for analysis and disposal.

6. The method for using a digital power grid fault analysis system according to claim 5, characterized in that: The fault data feature extraction module extraction method is as follows: a. Establish a data set, wherein the data set includes multiple sub-data sets to be extracted features; b. Perform feature training on the data set to obtain a training model; c. Extract the first keyword and the second keyword in the data set; d. Circularly search each sub-data set in the data set, using the first keyword and the second keyword as initial conditions to search the sub-data set; e. If the first keyword or the second keyword is matched in each sub-data set, the carbon emission data is extracted.

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