CN114970888A - Component fault analysis system based on electric power electrical control - Google Patents
Component fault analysis system based on electric power electrical control Download PDFInfo
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Abstract
The invention belongs to the field of electric power electrical control, relates to a fault analysis technology, and is used for solving the problem that only one region with the highest fault probability can be determined to be used as a fault region for outputting when an existing fault analysis system of an electric power electrical element automatically inspects the fault element, in particular to an element fault analysis system based on electric power electrical control, which comprises a fault analysis platform, wherein the fault analysis platform is in communication connection with a range retracting module, a maintenance recommending module, a characteristic analysis module and a storage module; when the electric element is in fault, the range indentation module receives the alarm signal and performs area indentation analysis on the area of the component with the fault through the environmental parameters; the invention can lock the position with the electrical fault and mark the locked area as the locked area, determines a locked area by the environment coefficient of the sub-area, and analyzes the deviation condition of the environment coefficient of the remaining sub-area by taking the locked area as the center.
Description
Technical Field
The invention belongs to the field of electric power and electrical control, relates to a fault analysis technology, and particularly relates to an element fault analysis system based on electric power and electrical control.
Background
Electronic components are basic elements in electronic circuits and have two or more leads or metal contacts, and the electronic components are connected with each other to form an electronic circuit having a specific function, such as: amplifiers, radio receivers, oscillators, etc., one of the common ways to connect electronic components, which may be individual packages or groups of varying complexity, is soldering to a printed circuit board;
when an existing fault analysis system of an electric power element automatically inspects a fault element after receiving an alarm signal, an area with the highest fault probability is determined to be used as a fault area for outputting by adopting an environment analysis and comparison mode, however, when a plurality of fault areas exist in one alarm area, all fault areas cannot be inspected by the inspection and detection method, so that the fault element which is not inspected cannot be maintained quickly, and even after the maintenance is finished, the normal work of the electric power element is influenced by the existence of the failed element which is not inspected;
a solution is now proposed to address the technical drawback in this respect.
Disclosure of Invention
The invention aims to provide an element fault analysis system based on electric power and electric control, which is used for solving the problem that only one area with the highest fault probability can be determined to be used as a fault area for outputting when the existing fault analysis system of the electric power and electric element automatically inspects the fault element, so that the faulty element which is possibly missed to be inspected after the inspection is finished influences the maintenance process and the normal work of the electric power and electric system.
The technical problems to be solved by the invention are as follows: how to provide a power electrical element fault analysis system which can thoroughly and accurately check fault elements in an alarm area.
The purpose of the invention can be realized by the following technical scheme:
the component fault analysis system based on electric power and electric control comprises a fault analysis platform, wherein the fault analysis platform is in communication connection with a range retraction module, a maintenance recommendation module, a characteristic analysis module and a storage module;
when the electric element is in fault, the range retraction module receives the alarm signal, performs regional retraction analysis on the region of the fault element through environmental parameters, locks the position of the fault element, and marks the locked region as a locked region, wherein the environmental parameters comprise temperature data and smoke data;
the range retracting module sends the fault data of the locking area to the fault analysis platform, the fault analysis platform sends the fault data of the locking area to the maintenance recommendation module after receiving the fault data of the locking area, and the maintenance recommendation module carries out maintenance worker recommendation on the locking area after receiving the fault data of the locking area;
the electric elements in the locking area are marked as fault elements, the range retraction module sends operation data of the fault elements to the fault analysis platform, the fault analysis platform sends the operation data of the fault elements to the characteristic analysis module after receiving the operation data of the fault elements, the characteristic analysis module judges influence parameters of the fault elements after receiving the operation data of the fault elements, and the operation data of the fault elements comprise temperature values of the fault elements and smoke particle concentration values of the locking area where the fault elements are located.
Further, the specific process of performing the area indentation analysis on the area with the electrical fault by the area indentation module includes: dividing the fault area into a plurality of sub-areas, and acquiring temperature data and smoke data of the sub-areas, wherein the temperature data of the sub-area i is an air temperature value of the sub-area, and the smoke data of the sub-area i is a smoke particle concentration value of the sub-area i;
the method comprises the steps of analyzing and calculating temperature data and smoke data of sub-regions to obtain environment coefficients of the sub-regions, marking the sub-region with the highest value of the environment coefficients as a fault region, marking the sub-region farthest from the fault region as a deviation region, establishing a rectangular coordinate system by taking the distance between the sub-region and the fault region as a horizontal coordinate and the environment coefficients as a vertical coordinate, making a line segment in the rectangular coordinate system, marking the coordinate values of two endpoints of the line segment as (0) and the environment coefficient of the fault region, (the distance between the deviation region and the fault region and the environment coefficients of the deviation region), marking the value of the environment coefficients corresponding to each sub-region in the line segment as an environment standard value, and marking the difference value of the environment coefficients and the environment standard value as the environment deviation value of the sub-region.
Further, the specific process of locking the position where the electrical fault occurs includes: acquiring deviation thresholds through a storage module, comparing the environment deviation values of the sub-regions with the deviation thresholds one by one, if the environment deviation values of all the sub-regions are smaller than the deviation thresholds, judging that the number of the sub-regions with electrical faults is one, and simultaneously marking the fault regions as locking regions; if the environmental deviation value of the sub-area is not smaller than the deviation threshold value, the number of the sub-areas with the electrical faults is judged to be multiple, and the sub-areas with the environmental deviation value not smaller than the deviation threshold value and the fault areas are marked as locking areas at the same time.
Further, the specific process of the maintenance recommendation module for performing the maintenance worker recommendation on the locking area comprises the following steps: taking the geographic position of the locking area as the center of a circle, r1 as a radius to draw a circle, r1 as a set radius value, wherein the unit is kilometer, marking the obtained circular area as a screening area, and marking all maintenance workers in the screening area as primary selection workers;
acquiring personnel information of a primary selection worker, wherein the personnel information of the primary selection worker comprises the name, age, mobile phone number, working age and current position of a maintenance worker, and the recommendation coefficient of the primary selection worker is obtained by analyzing and calculating the working age of the primary selection worker, the linear distance between the current position and a fault position;
and obtaining a recommendation threshold value through a storage module, comparing the recommendation coefficient of the primarily selected worker with the recommendation threshold value, and screening the appeared workers through a comparison result to obtain recommended workers.
Further, the comparison process of the recommendation coefficient of the primary worker and the recommendation threshold value comprises the following steps: marking the primary selected workers with the recommendation coefficients not less than the recommendation threshold as recommended workers, and sending personnel information of the recommended workers to a fault analysis platform by a maintenance recommendation module; and if the recommendation coefficients of all the primary workers are smaller than the recommendation threshold value, the maintenance recommendation module sends an emergency distribution signal to the fault analysis platform, and the fault analysis platform receives the emergency distribution signal and then sends the emergency distribution signal to a mobile phone terminal of a manager.
Further, the specific process of determining the influence parameters of the fault element by the feature analysis module includes: acquiring a standard temperature value and a standard smoke particle concentration value of a fault element in a normal operation state through a storage module, and acquiring a temperature abnormity threshold value and a smoke abnormity threshold value through the storage module for operation data, the standard temperature value and the standard smoke particle concentration value of the fault element;
and comparing the temperature abnormal representation value and the smoke abnormal representation value with a temperature abnormal threshold value and a smoke abnormal threshold value respectively, and judging the influence parameters of the fault element according to the comparison result.
Further, the comparing of the temperature abnormality occurrence value with the temperature abnormality threshold value includes:
if the temperature abnormity representation value is less than the temperature abnormity threshold value, judging that the temperature parameter is not the influence parameter of the fault element;
if the temperature abnormity representation value is larger than or equal to the temperature abnormity threshold value, the temperature parameter is judged to be the influence parameter of the fault element, and the characteristic analysis module sends a temperature monitoring signal to the fault analysis platform;
the comparing of the smoke anomaly performance value to the smoke anomaly threshold value comprises:
if the smoke abnormity expression value is smaller than the smoke abnormity threshold value, judging that the smoke parameters are not the influence parameters of the fault element;
if the smoke abnormity appearance value is larger than or equal to the smoke abnormity threshold value, the smoke parameter is judged to be the influence parameter of the fault element, and the characteristic analysis module sends a smoke monitoring signal to the fault analysis platform.
Further, the working method of the element fault analysis system based on the power electrical control comprises the following steps:
the method comprises the following steps: when an electric element is in fault, the range retracting module receives an alarm signal, marks an alarm signal coverage area as a fault area, divides the fault area into a plurality of sub-areas, analyzes environmental parameters of the sub-areas to obtain an environmental coefficient and an environmental deviation value of the fault area, and judges whether the sub-areas are determined as a locking area or not by combining the environmental coefficient and the environmental deviation value;
step two: the range retracting module sends fault data of the locking area to the maintenance recommending module through the fault analysis platform, the maintenance recommending module screens recommended workers according to the geographical positions and working years of the maintenance workers after receiving the fault data of the locking area, and the maintenance recommending module sends personnel information of the recommended workers to the fault analysis platform;
step three: the electric elements in the locking area are marked as fault elements, the range retraction module sends the operation data of the fault elements to the feature analysis module through the fault analysis platform, and the feature analysis module analyzes and judges the influence parameters of the fault elements after receiving the operation data of the fault elements.
The invention has the following beneficial effects:
1. the range indentation module performs regional indentation analysis on a region with a fault element through environmental parameters, locks a position with an electrical fault and marks the locked region as a locked region, determines a locked region through environmental coefficients of sub-regions, analyzes deviation conditions of the environmental coefficients of the remaining sub-regions by taking the locked region as a center, and judges whether the locked region exists in the remaining region, so that the region with the fault element is comprehensively checked, and the phenomena that maintenance process is delayed and an electric power system cannot normally work due to missed checking are avoided;
2. the maintenance recommending module recommends maintenance workers according to fault data of a locking area and worker information of the workers, calculates a recommending coefficient of primary selection workers according to the current position and working life of the workers, screens the primary selection workers according to a comparison result of the numerical value of the recommending coefficient and a recommending threshold value to obtain recommended workers, and sends an emergency distribution signal to a fault analysis platform through the maintenance recommending module under the condition that the recommended workers are not screened in the screening area, so that a fault element can be maintained quickly;
3. the characteristic analysis module judges the influence parameters of the fault element, compares the operation data of the fault element with the parameter values in the normal state to judge the influence parameters of the fault element, monitors the operation state of the electrical element through the influence parameters when a subsequent power electrical system works, and immediately alarms and reminds when the value of the influence parameter is abnormal, so that early warning, prevention and control are carried out on the operation state of the electrical element.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the component fault analysis system based on electric power control includes a fault analysis platform, wherein the fault analysis platform is communicatively connected with a range retracting module, a maintenance recommending module, a characteristic analysis module and a storage module;
the range retraction module is used for performing region retraction on a region with an electrical fault through environment parameters, accurately locking a position with the electrical fault, wherein the environment parameters comprise temperature data and smoke data, when an electrical element fault occurs, the range retraction module receives an alarm signal, marks the coverage area of the alarm signal as a fault area, divides the fault area into a plurality of sub-areas i, i =1, 2, …, n, n is a positive integer, acquires temperature data and smoke data of the sub-area i, the temperature data of the sub-area i is an air temperature value of the sub-area i, the smoke data of the sub-area i is a smoke particle concentration value of the sub-area i, and marks the temperature data and the smoke data of the sub-area i as WDi and YWi respectively;
obtaining an environment coefficient HJi of the sub-region i by a formula HJi = (α 1 ✖ WDi + α 2 ✖ YWi)/(α 1+ α 2), wherein α 1 and α 2 are proportional coefficients, and α 1 > α 2 > 0, it should be noted that the environment coefficient HJi is a numerical value reflecting the probability of an electrical fault occurring in the sub-region i, and the higher the numerical value of the environment coefficient HJi is, the higher the probability of an electrical fault occurring in the sub-region i is;
marking the sub-area with the highest environmental coefficient value as a fault area, marking the sub-area farthest from the fault area as a deviation area, a rectangular coordinate system is established by taking the distance between the sub-region and the fault region as the abscissa and the environmental coefficient as the ordinate, a line segment is made in a rectangular coordinate system, the coordinate values of two end points of the line segment are respectively (0, the environmental coefficient of a fault area), (the distance between a deviation area and the fault area, and the environmental coefficient of the deviation area), the environmental coefficient value corresponding to each sub-area in the line segment is marked as an environmental standard value HBi, in the case where there is only one failure region, the difference between the environmental coefficient of the sub-region and the environmental coefficient is floated within a certain range, and therefore when an environmental deviation value exceeding the certain range occurs, indicating that more than one fault area exists in the alarm area, and marking the difference value of the environment coefficient HJi and the environment standard value HBi as the environment deviation value HPi of the sub-area i;
acquiring a deviation threshold HPmax through a storage module, comparing the environment deviation values HPi of the sub-areas i with the deviation threshold HPmax one by one, if the environment deviation values HPi of all the sub-areas i are smaller than the deviation threshold HPmax, judging that the number of the sub-areas with electrical faults is one, and simultaneously marking the fault area as a locking area; if the environment deviation value HPi of the sub-area i is not smaller than the deviation threshold value HPmax, judging that the number of the sub-areas with the electrical faults is multiple, and marking the sub-areas with the environment deviation value HPi not smaller than the deviation threshold value HPmax and the fault areas as locking areas at the same time;
the range indentation module sends fault data of the locking region to the fault analysis platform, the fault analysis platform sends the fault data of the locking region to the maintenance recommendation module after receiving the fault data of the locking region, the maintenance recommendation module carries out maintenance worker recommendation on the locking region after receiving the fault data of the locking region, and the fault data of the locking region comprises the geographic position of the locking region, the number of the locking regions and the environment coefficient of the locking region;
taking the geographic position of the locking area as a circle center, r1 as a radius to draw a circle, r1 as a set radius value, wherein the unit is kilometer, the obtained circular area is marked as a screening area, all maintenance workers in the screening area are marked as primary workers, personnel information of the primary workers is obtained, the personnel information of the primary workers comprises the name, the age, the cell phone number, the working years and the current position of the maintenance workers, the working years of the primary workers are marked as NX, the straight line distance between the current position of the primary workers and the geographic position of the locking area is marked as ZL, the unit is kilometer, a recommendation coefficient TJ of the primary workers is obtained through a formula TJ = NX/ZL, it is required to be explained that the recommendation coefficient is a numerical value representing the suitability degree of the primary workers for participating in the current maintenance task, and the higher the numerical value of the recommendation coefficient represents that the corresponding primary workers are more suitable for participating in the current maintenance task, acquiring a recommendation threshold TJmax through a storage module, marking the primarily selected workers with the recommendation coefficient TJ not less than the recommendation threshold TJmax as recommended workers, and sending personnel information of the recommended workers to a fault analysis platform through a maintenance recommendation module; and if the recommendation coefficients TJ of all the initially selected workers are smaller than the recommendation threshold TJmax, the maintenance recommendation module sends an emergency distribution signal to the fault analysis platform, and the fault analysis platform receives the emergency distribution signal and then sends the emergency distribution signal to a mobile phone terminal of a manager.
The method comprises the following steps that an electric element in a locking area is marked as a fault element, a range retraction module sends operation data of the fault element to a fault analysis platform, the fault analysis platform sends the operation data of the fault element to a characteristic analysis module after receiving the operation data of the fault element, the operation data of the fault element comprises a temperature value of the fault element and a smoke particle concentration value of the locking area where the fault element is located, and the characteristic analysis module carries out fault characteristic analysis on the fault element after receiving the operation data of the fault element;
respectively marking the temperature value of the fault element and the smoke particle concentration value of a locking area where the fault element is located as GW and GY, acquiring a standard temperature value BW and a standard smoke particle concentration value BY of the fault element in a normal operation state through a storage module, acquiring a temperature abnormity representation WY of the fault element through a formula WY = (GW-BW)/beta 1, acquiring a smoke abnormity representation YY of the fault element through a formula YY = (GY-BY)/beta 2, and acquiring a temperature abnormity threshold WYYYYmin and a smoke abnormity threshold YYYYYmin through the storage module;
comparing the temperature abnormality expression value WY with a temperature abnormality threshold WYmin:
if the temperature abnormity representation value WY is smaller than the temperature abnormity threshold value WYmin, judging that the temperature parameter is not the influence parameter of the fault element;
if the temperature abnormity representation value WY is larger than or equal to the temperature abnormity threshold value WYmin, judging that the temperature parameter is the influence parameter of the fault element, and sending a temperature monitoring signal to a fault analysis platform by the characteristic analysis module;
comparing the smoke anomaly performance value YY with a smoke anomaly threshold value YYymin:
if the smoke abnormity expression value YY is smaller than the smoke abnormity threshold value YYYmin, judging that the smoke parameters are not the influence parameters of the fault element;
if the smoke abnormity expression value YY is larger than or equal to the smoke abnormity threshold value YYYmin, the smoke parameter is judged to be the influence parameter of the fault element, and the characteristic analysis module sends a smoke monitoring signal to the fault analysis platform.
The working method of the element fault analysis system based on the power electrical control comprises the following steps:
the method comprises the following steps: when an electric element is in fault, the range retracting module receives an alarm signal, marks an alarm signal coverage area as a fault area, divides the fault area into a plurality of sub-areas, analyzes environmental parameters of the sub-areas to obtain an environmental coefficient and an environmental deviation value of the fault area, and judges whether the sub-areas are determined as a locking area or not by combining the environmental coefficient and the environmental deviation value;
step two: the range indentation module sends fault data of the locking area to the maintenance recommendation module through the fault analysis platform, the maintenance recommendation module screens recommended workers according to the geographical position and working years of the maintenance workers after receiving the fault data of the locking area, and the maintenance recommendation module sends personnel information of the recommended workers to the fault analysis platform;
step three: the electric elements in the locking area are marked as fault elements, the range retraction module sends the operation data of the fault elements to the feature analysis module through the fault analysis platform, and the feature analysis module analyzes and judges the influence parameters of the fault elements after receiving the operation data of the fault elements.
When an electric element fails, the range retracting module receives an alarm signal, a coverage area of the alarm signal is marked as a failure area, the failure area is divided into a plurality of sub-areas, environmental parameter analysis is carried out on the sub-areas to obtain an environmental coefficient and an environmental deviation value of the failure area, all the sub-areas with the highest environmental coefficient and the environmental deviation value not smaller than a deviation threshold value are marked as locking areas, the maintenance recommending module carries out maintenance worker recommendation on the locking areas, and the characteristic analyzing module carries out fault characteristic analysis on the failed element.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula HJi = (α 1 ✖ WDi + α 2 ✖ YWi)/(α 1+ α 2); collecting multiple groups of sample data and setting corresponding environment coefficients for each group of sample data by a person skilled in the art; substituting the set environmental coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1 and alpha 2 which are 1.96 and 1.47 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding environment coefficient is preliminarily set for each group of sample data by a person skilled in the art; it is sufficient that the proportional relationship between the parameter and the quantized value is not affected, for example, the environmental coefficient is proportional to the value of the air temperature value.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The element fault analysis system based on electric power electric control is characterized by comprising a fault analysis platform, wherein the fault analysis platform is in communication connection with a range retracting module, a maintenance recommending module, a characteristic analysis module and a storage module;
when the electric element is in fault, the range retraction module receives the alarm signal, performs regional retraction analysis on the region of the fault element through environmental parameters, locks the position of the fault element, and marks the locked region as a locked region, wherein the environmental parameters comprise temperature data and smoke data;
the range indentation module sends the fault data of the locking area to the fault analysis platform, the fault analysis platform sends the fault data of the locking area to the maintenance recommendation module after receiving the fault data of the locking area, and the maintenance recommendation module carries out maintenance worker recommendation on the locking area after receiving the fault data of the locking area;
the electric elements in the locking area are marked as fault elements, the range retraction module sends operation data of the fault elements to the fault analysis platform, the fault analysis platform sends the operation data of the fault elements to the characteristic analysis module after receiving the operation data of the fault elements, the characteristic analysis module judges influence parameters of the fault elements after receiving the operation data of the fault elements, and the operation data of the fault elements comprise temperature values of the fault elements and smoke particle concentration values of the locking area where the fault elements are located.
2. The component failure analysis system based on power electrical control as claimed in claim 1, wherein the specific process of performing the area indentation analysis on the area with the electrical failure by the range indentation module comprises: dividing the fault area into a plurality of sub-areas, and acquiring temperature data and smoke data of the sub-areas, wherein the temperature data of the sub-area i is an air temperature value of the sub-area, and the smoke data of the sub-area i is a smoke particle concentration value of the sub-area i;
the method comprises the steps of analyzing and calculating temperature data and smoke data of sub-regions to obtain environment coefficients of the sub-regions, marking the sub-region with the highest value of the environment coefficients as a fault region, marking the sub-region farthest from the fault region as a deviation region, establishing a rectangular coordinate system by taking the distance between the sub-region and the fault region as a horizontal coordinate and the environment coefficients as a vertical coordinate, making a line segment in the rectangular coordinate system, marking the coordinate values of two endpoints of the line segment as (0) and the environment coefficient of the fault region, (the distance between the deviation region and the fault region and the environment coefficients of the deviation region), marking the value of the environment coefficients corresponding to each sub-region in the line segment as an environment standard value, and marking the difference value of the environment coefficients and the environment standard value as the environment deviation value of the sub-region.
3. A power electrical control-based element fault analysis system according to claim 2, wherein the specific process of locking the position of the electrical fault comprises: acquiring deviation thresholds through a storage module, comparing the environment deviation values of the sub-regions with the deviation thresholds one by one, if the environment deviation values of all the sub-regions are smaller than the deviation thresholds, judging that the number of the sub-regions with electrical faults is one, and simultaneously marking the fault regions as locking regions; if the environmental deviation value of the sub-area is not smaller than the deviation threshold value, the number of the sub-areas with the electrical faults is judged to be multiple, and the sub-areas with the environmental deviation value not smaller than the deviation threshold value and the fault areas are marked as locking areas at the same time.
4. The power electrical control-based element fault analysis system of claim 3, wherein the specific process of the maintenance recommendation module for performing the maintenance worker recommendation on the locking area comprises: taking the geographic position of the locking area as the center of a circle, r1 as a radius to draw a circle, r1 as a set radius value, wherein the unit is kilometer, marking the obtained circular area as a screening area, and marking all maintenance workers in the screening area as primary selection workers;
acquiring personnel information of a primary selection worker, wherein the personnel information of the primary selection worker comprises the name, age, mobile phone number, working age and current position of a maintenance worker, and the recommendation coefficient of the primary selection worker is obtained by analyzing and calculating the working age of the primary selection worker, the linear distance between the current position and a fault position;
and obtaining a recommendation threshold value through a storage module, comparing the recommendation coefficient of the primarily selected worker with the recommendation threshold value, and screening the appeared workers through a comparison result to obtain recommended workers.
5. A power electrical control-based element fault analysis system according to claim 4, wherein the comparison process of the recommendation coefficient of the primary worker with the recommendation threshold value comprises: marking the primary selected workers with the recommendation coefficients not less than the recommendation threshold as recommended workers, and sending personnel information of the recommended workers to a fault analysis platform by a maintenance recommendation module; and if the recommendation coefficients of all the primary workers are smaller than the recommendation threshold value, the maintenance recommendation module sends an emergency distribution signal to the fault analysis platform, and the fault analysis platform receives the emergency distribution signal and then sends the emergency distribution signal to a mobile phone terminal of a manager.
6. A power electrical control-based element fault analysis system according to claim 5, wherein the specific process of determining the influence parameters of the fault element by the characteristic analysis module comprises the following steps: acquiring a standard temperature value and a standard smoke particle concentration value of a fault element in a normal operation state through a storage module, and acquiring a temperature anomaly threshold value and a smoke anomaly threshold value for operation data, the standard temperature value and the standard smoke particle concentration value of the fault element through the storage module;
and comparing the temperature abnormal expression value and the smoke abnormal expression value with a temperature abnormal threshold value and a smoke abnormal threshold value respectively, and judging the influence parameters of the fault element according to the comparison result.
7. A power electrical control-based element fault analysis system according to claim 6, wherein the comparison process of the temperature abnormality occurrence value and the temperature abnormality threshold value includes:
if the temperature abnormity representation value is less than the temperature abnormity threshold value, judging that the temperature parameter is not the influence parameter of the fault element;
if the temperature abnormity representation value is larger than or equal to the temperature abnormity threshold value, the temperature parameter is judged to be the influence parameter of the fault element, and the characteristic analysis module sends a temperature monitoring signal to the fault analysis platform;
the comparing of the smoke anomaly performance value to the smoke anomaly threshold value comprises:
if the smoke abnormity expression value is smaller than the smoke abnormity threshold value, judging that the smoke parameters are not the influence parameters of the fault element;
if the smoke abnormity appearance value is larger than or equal to the smoke abnormity threshold value, the smoke parameter is judged to be the influence parameter of the fault element, and the characteristic analysis module sends a smoke monitoring signal to the fault analysis platform.
8. A power electrical control based element fault analysis system according to any of claims 1-7, characterized in that the method of operation of the power electrical control based element fault analysis system comprises the steps of:
the method comprises the following steps: when an electric element fault occurs, the range retracting module receives an alarm signal, marks the coverage area of the alarm signal as a fault area, divides the fault area into a plurality of sub-areas, analyzes environmental parameters of the sub-areas to obtain an environmental coefficient and an environmental deviation value of the fault area, and judges whether the sub-areas are determined as locking areas or not by combining the environmental coefficient and the environmental deviation value;
step two: the range indentation module sends fault data of the locking area to the maintenance recommendation module through the fault analysis platform, the maintenance recommendation module screens recommended workers according to the geographical position and working years of the maintenance workers after receiving the fault data of the locking area, and the maintenance recommendation module sends personnel information of the recommended workers to the fault analysis platform;
step three: the electric elements in the locking area are marked as fault elements, the range retraction module sends the operation data of the fault elements to the feature analysis module through the fault analysis platform, and the feature analysis module analyzes and judges the influence parameters of the fault elements after receiving the operation data of the fault elements.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116316151A (en) * | 2022-12-09 | 2023-06-23 | 常州市揽智电器有限公司 | Outdoor electric power cabinet with alarming function |
| CN116383914A (en) * | 2023-04-11 | 2023-07-04 | 国网浙江省电力有限公司 | Multi-dimensional information analysis-based power system fault judging device and method |
| CN116706904A (en) * | 2023-08-07 | 2023-09-05 | 国网四川省电力公司乐山供电公司 | Power grid abnormal fault emergency processing system based on artificial intelligence |
| CN117517923A (en) * | 2023-11-06 | 2024-02-06 | 常州市泽宸电子科技有限公司 | Integrated circuit power consumption test system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1375703A (en) * | 2002-03-29 | 2002-10-23 | 武汉大学 | Systemic method of diagnosing electric trouble |
| CN104748300A (en) * | 2015-02-27 | 2015-07-01 | 青岛海尔空调器有限总公司 | Air conditioner fault auxiliary rapid diagnosis control method |
| US20160209831A1 (en) * | 2014-11-18 | 2016-07-21 | Biplab Pal | IoT-ENABLED PROCESS CONTROL AND PREDECTIVE MAINTENANCE USING MACHINE WEARABLES |
| CN106327356A (en) * | 2016-08-01 | 2017-01-11 | 国家电网公司 | Data mining-based power distribution network fault precise localization method |
| CN206506544U (en) * | 2017-03-07 | 2017-09-19 | 淮阴师范学院 | A kind of intelligent maintenance device of the network equipment |
| CN209264153U (en) * | 2018-12-17 | 2019-08-16 | 浙江江山华安电器制造有限公司 | A kind of intelligent temperature measurement on-line indicating fault integration unit of new E KL-W |
| CN112531904A (en) * | 2020-12-11 | 2021-03-19 | 深圳供电局有限公司 | Network instruction interaction system for grid connection of power distribution terminal |
| US20210123964A1 (en) * | 2019-10-24 | 2021-04-29 | Palo Alto Research Center Incorporated | Optical monitoring to detect contamination of power grid components |
| CN112910691A (en) * | 2021-01-19 | 2021-06-04 | 中国工商银行股份有限公司 | Machine room fault detection method and device |
| CN113466740A (en) * | 2021-07-07 | 2021-10-01 | 深圳市美信咨询有限公司 | Fault positioning method and fault positioning device |
-
2021
- 2021-10-08 CN CN202111167845.6A patent/CN114970888B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1375703A (en) * | 2002-03-29 | 2002-10-23 | 武汉大学 | Systemic method of diagnosing electric trouble |
| US20160209831A1 (en) * | 2014-11-18 | 2016-07-21 | Biplab Pal | IoT-ENABLED PROCESS CONTROL AND PREDECTIVE MAINTENANCE USING MACHINE WEARABLES |
| CN104748300A (en) * | 2015-02-27 | 2015-07-01 | 青岛海尔空调器有限总公司 | Air conditioner fault auxiliary rapid diagnosis control method |
| CN106327356A (en) * | 2016-08-01 | 2017-01-11 | 国家电网公司 | Data mining-based power distribution network fault precise localization method |
| CN206506544U (en) * | 2017-03-07 | 2017-09-19 | 淮阴师范学院 | A kind of intelligent maintenance device of the network equipment |
| CN209264153U (en) * | 2018-12-17 | 2019-08-16 | 浙江江山华安电器制造有限公司 | A kind of intelligent temperature measurement on-line indicating fault integration unit of new E KL-W |
| US20210123964A1 (en) * | 2019-10-24 | 2021-04-29 | Palo Alto Research Center Incorporated | Optical monitoring to detect contamination of power grid components |
| CN112531904A (en) * | 2020-12-11 | 2021-03-19 | 深圳供电局有限公司 | Network instruction interaction system for grid connection of power distribution terminal |
| CN112910691A (en) * | 2021-01-19 | 2021-06-04 | 中国工商银行股份有限公司 | Machine room fault detection method and device |
| CN113466740A (en) * | 2021-07-07 | 2021-10-01 | 深圳市美信咨询有限公司 | Fault positioning method and fault positioning device |
Non-Patent Citations (4)
| Title |
|---|
| RONALD APOLINARIA等: ""Digital Block Defect Localization using in-depth Circuit Analysis for Electrical Verification and Fault Isolation Correlation"" * |
| 吕利等: ""高压电力电缆故障分析及诊断处理"" * |
| 宋毅等: ""散射式低能见度无线预警检测仪设计"" * |
| 熊树等: ""基于BP网络远程无线电力变压器故障诊断系统"" * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116316151A (en) * | 2022-12-09 | 2023-06-23 | 常州市揽智电器有限公司 | Outdoor electric power cabinet with alarming function |
| CN116316151B (en) * | 2022-12-09 | 2023-10-20 | 常州市揽智电器有限公司 | Outdoor electric power cabinet with alarming function |
| CN116383914A (en) * | 2023-04-11 | 2023-07-04 | 国网浙江省电力有限公司 | Multi-dimensional information analysis-based power system fault judging device and method |
| CN116383914B (en) * | 2023-04-11 | 2023-10-03 | 国网浙江省电力有限公司 | Multi-dimensional information analysis-based power system fault judging device and method |
| CN116706904A (en) * | 2023-08-07 | 2023-09-05 | 国网四川省电力公司乐山供电公司 | Power grid abnormal fault emergency processing system based on artificial intelligence |
| CN116706904B (en) * | 2023-08-07 | 2023-10-10 | 国网四川省电力公司乐山供电公司 | Power grid abnormal fault emergency processing system based on artificial intelligence |
| CN117517923A (en) * | 2023-11-06 | 2024-02-06 | 常州市泽宸电子科技有限公司 | Integrated circuit power consumption test system |
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