CN118112466B - Grounding grid fault diagnosis method - Google Patents
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Abstract
The invention provides a grounding grid fault diagnosis method, and belongs to the technical field of grounding grid fault diagnosis. Comprising the following steps: detecting the grounding resistance of the grounding grid; performing power station operation detection on the grounding grid coverage area; and (5) performing soil detection and analysis on the ground network coverage area. When the ground resistance of the ground grid coverage area is abnormal, the invention further judges whether the ground resistance abnormality of the ground grid coverage area is related to the operation abnormality of the power station through the power station influence coefficient, and when the ground resistance abnormality is irrelevant, further carries out soil detection analysis on the ground grid coverage area and obtains a double standard coefficient, and judges whether the ground resistance abnormality of the ground grid coverage area is related to the soil environment through the numerical value of the double standard coefficient, thereby providing a novel ground grid fault diagnosis method.
Description
Technical Field
The invention belongs to the technical field of ground network fault diagnosis, and particularly relates to a ground network fault diagnosis method.
Background
The ground network serves as a key protection device in the electrical system, the main function of which is to protect personnel and equipment from electrical hazards. However, the ground network may malfunction due to various factors, such as disconnection, short circuit, poor contact, etc., and in order to ensure the safety and effectiveness of the ground network, it is necessary to periodically perform fault diagnosis of the ground network.
The grounding grid fault diagnosis method in the prior art cannot detect and analyze the operating environment and the soil environment of the grounding grid, so that the specific fault cause diagnosis and analysis cannot be performed when the grounding grid is in fault, the grounding grid fault processing efficiency is low, and the subsequent operating environment cannot be guaranteed.
The application provides a solution to the technical problem.
Disclosure of Invention
The invention aims to provide a grounding grid fault diagnosis method which is used for solving the problem that the grounding grid fault diagnosis method in the prior art cannot carry out targeted fault cause diagnosis analysis when the grounding grid is in fault;
The technical problems to be solved by the invention are as follows: how to provide a ground network fault diagnosis method capable of performing a targeted fault cause diagnosis analysis when a ground network is faulty.
The aim of the invention can be achieved by the following technical scheme:
a ground network fault diagnosis method, comprising the steps of:
Step S1, detecting the grounding resistance of the grounding grid: dividing a grounding grid coverage area into a plurality of grounding areas, setting a plurality of detection points in the grounding areas, acquiring a grounding resistance value and a resistance standard range of the detection points, acquiring a bias resistance coefficient and a distribution coefficient of the grounding grid coverage area through the grounding resistance value and the resistance standard range of the detection points, comparing the bias resistance coefficient and the distribution coefficient of the grounding grid coverage area with preset bias resistance threshold values and distribution threshold values respectively, and judging that the grounding resistance of the grounding grid coverage area meets the requirement if the bias resistance coefficient is smaller than the bias resistance threshold values and the distribution coefficient is smaller than the distribution threshold values; otherwise, judging that the grounding resistance of the grounding grid coverage area does not meet the requirement, and executing the step S2;
Step S2, power station operation detection is carried out on the grounding grid coverage area: the method comprises the steps that an operation period is formed by the last ground resistance detection time and the current system time, the total number of power station operation faults occurring in a grounding area in the operation period is obtained, the fault value of the grounding area is marked, the power station influence coefficient of the grounding network coverage area is obtained through the bias resistance data and the fault value of the grounding area, the power station influence coefficient of the grounding network coverage area is compared with a preset power station influence threshold value, if the power station influence coefficient is smaller than the power station influence threshold value, the condition that the ground resistance abnormality of the grounding network coverage area is related to the power station operation faults is judged, a power station maintenance optimization signal is generated, and the power station maintenance optimization signal is sent to a mobile phone terminal of a manager; if the power station influence coefficient is greater than or equal to the power station influence threshold, judging that the ground resistance abnormality of the ground network coverage area is irrelevant to the power station operation fault, and executing the step S3;
And S3, performing soil detection and analysis on the ground network coverage area.
As a preferred embodiment of the present invention, in step S1, the process for obtaining the bias blocking coefficient and the distribution coefficient of the coverage area of the ground network includes: marking the average value of the maximum value and the minimum value of the resistance standard range as a resistance standard value, marking the absolute value of the difference between the grounding resistance value of the detection point and the resistance standard value as the resistance deviation value of the detection point, marking the maximum value of the resistance deviation values of all the detection points in the grounding area as the resistance deviation data of the grounding area, summing the resistance deviation data of all the grounding areas, and taking the average value to obtain the resistance deviation coefficient of the grounding network coverage area; and forming a distribution set by the bias resistance data of all the grounding areas, and performing variance calculation on all elements in the distribution set to obtain the distribution coefficient of the grounding grid coverage area.
As a preferred embodiment of the present invention, in step S2, the process for obtaining the power station influence coefficient of the coverage area of the ground network includes: the method comprises the steps of arranging the grounding areas according to the sequence of the fault values from large to small to obtain a fault sequence of a grounding grid coverage area, arranging the grounding areas according to the sequence of the deviation resistance data values from large to small to obtain a deviation resistance sequence, marking the absolute value of the difference value between the arrangement sequence number of the grounding areas in the fault sequence and the arrangement sequence number in the deviation resistance sequence as a power station influence value of the grounding area, summing the power station influence values of all the grounding areas, and taking an average value to obtain a power station influence coefficient of the grounding grid coverage area.
As a preferred embodiment of the invention, the specific process of carrying out soil detection and analysis on the ground network coverage area comprises the following steps:
Step S31, obtaining a soil coefficient TR of the ground region: acquiring soil temperature data TW, soil humidity data TS and soil density data TM of a grounding area; the soil coefficient TR of the grounding area is obtained by carrying out numerical calculation on soil temperature data TW, soil humidity data TS and soil density data TM;
Step S32, marking the grounding area as a soil positive area or a soil abnormal area by the soil coefficient TR: comparing the soil coefficient TR of the grounding area with a preset soil threshold TRmax, and marking the grounding area as a positive soil area if the soil coefficient TR is smaller than the soil threshold TRmax; if the soil coefficient TR is greater than or equal to a soil threshold TRmax, marking the grounding area as a soil different area;
Step S33, marking the grounding area as a positive blocking area or a different blocking area through the bias blocking data: comparing the bias resistance data of the grounding area with a preset bias resistance threshold, and marking the grounding area as a positive resistance area if the bias resistance data is smaller than the bias resistance threshold; if the bias resistance data is greater than or equal to the bias resistance threshold, marking the grounding area as a different resistance area;
and step S34, judging whether the ground resistance abnormality of the ground network coverage area is related to the soil environment or not.
As a preferred embodiment of the present invention, in step S31, the process of acquiring soil temperature data TW of the ground area includes: obtaining a soil temperature value and a soil temperature range of a detection point, marking an average value of a maximum value and a minimum value of the soil temperature range as a soil temperature standard value, marking an absolute value of a difference value between the soil temperature value and the soil temperature standard value as a soil temperature representation value of the detection point, and marking the maximum value of the soil temperature representation values of all the detection points in a grounding area as soil temperature data TW of the grounding area;
The process for acquiring the soil humidity data TS comprises the following steps: obtaining a soil humidity value and a soil humidity range of a detection point, marking an average value of a maximum value and a minimum value of the soil humidity range as a soil humidity standard value, marking an absolute value of a difference value between the soil humidity value and the soil humidity standard value as a soil humidity representation value of the detection point, and marking the maximum value of the soil humidity representation values of all the detection points in a grounding area as soil humidity data TS of the grounding area;
the process for acquiring the soil density data TM comprises the following steps: and obtaining a soil density value and a soil density range of the detection points, marking an average value of a maximum value and a minimum value of the soil density range as a soil density standard value, marking an absolute value of a difference value between the soil density value and the soil density standard value as a soil density representation value, and marking the maximum value of the soil density representation values of all the detection points in the grounding area as soil density data TM of the grounding area.
As a preferred embodiment of the present invention, in step S34, the specific process of determining whether the ground resistance abnormality of the ground network coverage area is related to the soil environment or not includes: the method comprises the steps of marking a grounding area which is marked as a different-resistance area and a different-earth area as a double-standard area, marking the ratio of the number of the double-standard areas to the number of the grounding areas as a double-standard coefficient, and comparing the double-standard coefficient with a preset double-standard threshold value: if the double standard coefficient is smaller than the double standard threshold value, judging that the ground resistance abnormality of the ground network coverage area is irrelevant to the soil environment, generating a ground wire quality supervision signal and sending the ground wire quality supervision signal and the soil abnormal area to a mobile phone terminal of a manager; and if the double standard coefficient is greater than or equal to the double standard threshold value, judging that the ground resistance abnormality of the ground grid coverage area is related to the soil environment, generating a soil environment comprehensive optimization signal and transmitting the soil environment comprehensive optimization signal to a mobile phone terminal of a manager.
The invention has the following beneficial effects:
Carrying out regional ground resistance detection on the ground network coverage area, analyzing the resistance bias values of all detection points in the ground network coverage area to obtain the resistance bias coefficient and the distribution coefficient of the ground network coverage area, judging and evaluating whether the ground resistance of the ground network coverage area is qualified or not through the resistance bias coefficient and the distribution coefficient, and improving the accuracy of the detection result of the ground resistance in a regional detection analysis mode;
Carrying out power station operation detection on the grounding grid coverage area, carrying out statistics and analysis on power station fault parameters of the grounding area in an operation period to obtain a fault sequence and a bias blocking sequence, and calculating the numerical value approaching degree of the sequence numbers of the grounding area in the fault sequence and the bias blocking sequence to obtain a power station influence coefficient, so that the association degree of the abnormal grounding resistance of the grounding grid coverage area and the power station operation fault is fed back according to the power station influence coefficient;
Soil detection analysis is carried out on the grounding grid coverage area, a plurality of soil environment parameters in the grounding area are collected and calculated to obtain soil coefficients, differential marking is carried out on the grounding area from the aspects of soil abnormality and grounding resistance abnormality through the soil coefficients and the bias resistance data, and therefore the reason of the grounding resistance abnormality of the grounding grid coverage area is further analyzed according to the differential marking result.
In summary, the method provided by the embodiment of the invention further carries out soil detection analysis on the ground grid coverage area and obtains a double standard coefficient when the ground resistance of the ground grid coverage area is abnormal, and further carries out judgment on whether the ground resistance abnormality of the ground grid coverage area is related to the operation abnormality of the power station through the power station influence coefficient, and when the ground resistance abnormality is irrelevant, carries out judgment on whether the ground resistance abnormality of the ground grid coverage area is related to the soil environment through the numerical value of the double standard coefficient, thereby providing a novel ground grid fault diagnosis method.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the overall method of the present invention;
Fig. 2 is a flowchart of a soil detection and analysis method according to the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, a method for diagnosing a fault of a ground network includes the steps of:
Step S1, detecting the grounding resistance of the grounding grid: dividing a grounding grid coverage area into a plurality of grounding areas, setting a plurality of detection points in the grounding areas, acquiring grounding resistance values and resistance standard ranges of the detection points, marking an average value of the maximum value and the minimum value of the resistance standard ranges as a resistance standard value, marking an absolute value of a difference value between the grounding resistance values and the resistance standard values of the detection points as a resistance deviation value of the detection points, marking the maximum value of the resistance deviation values of all the detection points in the grounding areas as resistance deviation data of the grounding areas, summing the resistance deviation data of all the grounding areas, and taking the average value to obtain the resistance deviation coefficient of the grounding grid coverage area; forming a distribution set by the bias resistance data of all the grounding areas, and performing variance calculation on all elements in the distribution set to obtain a distribution coefficient of a grounding grid coverage area; comparing the bias resistance coefficient and the distribution coefficient of the grounding grid coverage area with a preset bias resistance threshold value and a preset distribution threshold value respectively; if the bias resistance coefficient is smaller than the bias resistance threshold value and the distribution coefficient is smaller than the distribution threshold value, judging that the grounding resistance of the grounding grid coverage area meets the requirement; otherwise, it is determined that the grounding resistance of the grounding grid coverage area does not meet the requirement, and step S2 is executed.
And analyzing the resistance deviation values of all detection points in the grounding area to obtain the resistance deviation coefficient and the distribution coefficient of the grounding network coverage area, judging and evaluating whether the grounding resistance of the grounding network coverage area is qualified or not according to the resistance deviation coefficient and the distribution coefficient, and improving the accuracy of the grounding resistance detection result in a regional detection analysis mode.
Step S2, power station operation detection is carried out on the grounding grid coverage area: the method comprises the steps of forming an operation period by the last ground resistance detection time and the current system time, obtaining the total number of power station operation faults occurring in a grounding area in the operation period, marking the total number as a fault value of the grounding area, arranging the grounding area according to the sequence of the fault value from large to small to obtain a fault sequence of a grounding network coverage area, arranging the grounding area according to the sequence of the bias resistance data value from large to small to obtain a bias resistance sequence, marking the absolute value of the difference value between the arrangement sequence number of the grounding area in the fault sequence and the arrangement sequence number in the bias resistance sequence as a power station influence value of the grounding area, summing the power station influence values of all the grounding areas, averaging to obtain a power station influence coefficient of the grounding network coverage area, and comparing the power station influence coefficient of the grounding coverage area with a preset power station influence threshold; if the power station influence coefficient is smaller than the power station influence threshold, judging that the ground resistance abnormality of the ground network coverage area is related to the power station operation fault, generating a power station maintenance optimization signal and sending the power station maintenance optimization signal to a mobile phone terminal of a manager; and if the power station influence coefficient is greater than or equal to the power station influence threshold, judging that the ground resistance abnormality of the ground network coverage area is irrelevant to the power station operation fault, and executing the step S3.
The power station fault parameters of the grounding area are counted and analyzed in the operation period to obtain a fault sequence and a bias-blocking sequence, the numerical value approaching degree of the sequence numbers of the grounding area in the fault sequence and the bias-blocking sequence is calculated to obtain a power station influence coefficient, and accordingly the association degree of the abnormal grounding resistance of the grounding network coverage area and the power station operation fault is fed back according to the power station influence coefficient.
As shown in fig. 2, step S3, performing soil detection and analysis on the ground network coverage area includes:
Step S31, obtaining a soil coefficient TR of the ground region: acquiring soil temperature data TW, soil humidity data TS and soil density data TM of a grounding area;
The process for acquiring the soil temperature data TW of the ground area includes: obtaining a soil temperature value and a soil temperature range of a detection point, marking an average value of a maximum value and a minimum value of the soil temperature range as a soil temperature standard value, marking an absolute value of a difference value between the soil temperature value and the soil temperature standard value as a soil temperature representation value of the detection point, and marking the maximum value of the soil temperature representation values of all the detection points in a grounding area as soil temperature data TW of the grounding area;
The process for acquiring the soil humidity data TS comprises the following steps: obtaining a soil humidity value and a soil humidity range of a detection point, marking an average value of a maximum value and a minimum value of the soil humidity range as a soil humidity standard value, marking an absolute value of a difference value between the soil humidity value and the soil humidity standard value as a soil humidity representation value of the detection point, and marking the maximum value of the soil humidity representation values of all the detection points in a grounding area as soil humidity data TS of the grounding area;
The process for acquiring the soil density data TM comprises the following steps: obtaining a soil density value and a soil density range of detection points, marking an average value of a maximum value and a minimum value of the soil density range as a soil density standard value, marking an absolute value of a difference value between the soil density value and the soil density standard value as a soil density representation value, and marking the maximum value of the soil density representation values of all detection points in a grounding area as soil density data TM of the grounding area;
Specifically, calculating by a formula tr=t1×tw+t2×ts+t3×tm to obtain a soil coefficient TR of the ground region, where t1, t2, and t3 are all scaling coefficients, and t 1> t 2> t 3> 1;
Step S32, marking the grounding area as a soil positive area or a soil abnormal area by the soil coefficient TR: comparing the soil coefficient TR of the grounding area with a preset soil threshold TRmax; if the soil coefficient TR is smaller than the soil threshold TRmax, marking the grounding area as a soil positive area; if the soil coefficient TR is greater than or equal to a soil threshold TRmax, marking the grounding area as a soil different area;
Step S33, marking the grounding area as a positive blocking area or a different blocking area through the bias blocking data: comparing the bias resistance data of the grounding area with a preset bias resistance threshold value; if the bias resistance data is smaller than the bias resistance threshold, marking the grounding area as a positive resistance area; if the bias resistance data is greater than or equal to the bias resistance threshold, marking the grounding area as a different resistance area;
Step S34, judging whether the ground resistance abnormality of the ground network coverage area is related to the soil environment or not, wherein the specific process comprises the following steps: marking the grounding areas marked as the different-resistance areas and the different-earth areas at the same time as double-standard areas, marking the ratio of the number of the double-standard areas to the number of the grounding areas as double-standard coefficients, and comparing the double-standard coefficients with a preset double-standard threshold value; if the double standard coefficient is smaller than the double standard threshold value, judging that the ground resistance abnormality of the ground network coverage area is irrelevant to the soil environment, generating a ground wire quality supervision signal and sending the ground wire quality supervision signal and the soil abnormal area to a mobile phone terminal of a manager; and if the double standard coefficient is greater than or equal to the double standard threshold value, judging that the ground resistance abnormality of the ground grid coverage area is related to the soil environment, generating a soil environment comprehensive optimization signal and transmitting the soil environment comprehensive optimization signal to a mobile phone terminal of a manager.
The soil coefficient is obtained by collecting and calculating a plurality of soil environment parameters in the grounding area, and the grounding area is differentially marked from the aspects of soil abnormality and grounding resistance abnormality by the soil coefficient and the bias resistance data, so that the reason of the grounding resistance abnormality in the grounding network coverage area is further analyzed according to the differential marking result.
According to the ground grid fault diagnosis method, when the ground grid fault diagnosis method is in operation, a ground grid coverage area is divided into a plurality of ground areas, a plurality of detection points are arranged in the ground areas, the bias resistance coefficient and the distribution coefficient of the ground grid coverage area are obtained through the ground resistance values and the resistance standard ranges of the detection points, and whether the ground resistance of the ground grid coverage area is abnormal or not is judged according to the bias resistance coefficient and the distribution coefficient; when an abnormality exists, acquiring a fault sequence and a bias-blocking sequence of the grounding grid coverage area, calculating sequence numbers of the grounding area in the fault sequence and the bias-blocking sequence to obtain a power station influence coefficient, and judging whether the abnormality of the grounding resistance of the grounding grid coverage area is related to the operation abnormality of the power station or not through the power station influence coefficient; and when the ground resistance is irrelevant, carrying out soil detection analysis on the ground network coverage area, obtaining a double standard coefficient, and judging whether the ground resistance abnormality of the ground network coverage area is relevant to the soil environment or not according to the numerical value of the double standard coefficient.
It should be noted that, the above formula is a formula obtained by collecting a large amount of data to perform software simulation and selecting a value close to the true value, and coefficients in the formula are set by those skilled in the art according to actual conditions; specifically: when the formula tr=t1+t2+ts3+t3 is obtained, a person skilled in the art collects a plurality of sets of sample data and sets a corresponding soil coefficient for each set of sample data; substituting the set soil coefficient and the collected sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated proportionality coefficient, and taking an average value to obtain values of t1, t2 and t3 of 3.47, 2.63 and 2.21 respectively;
The size of the proportionality coefficient is a specific numerical value obtained by quantifying each parameter, so that the subsequent comparison is convenient, and the size of the proportionality coefficient depends on the number of sample data and the soil coefficient preliminarily set by a person skilled in the art for each group of sample data; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the soil coefficient is directly proportional to the value of the soil temperature data.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, 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 present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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 only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form 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 understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (1)
1. A method for diagnosing a fault in a ground network, comprising the steps of:
Step S1, detecting the grounding resistance of the grounding grid: dividing a grounding grid coverage area into a plurality of grounding areas, setting a plurality of detection points in the grounding areas, acquiring a grounding resistance value and a resistance standard range of the detection points, acquiring a bias resistance coefficient and a distribution coefficient of the grounding grid coverage area through the grounding resistance value and the resistance standard range of the detection points, comparing the bias resistance coefficient and the distribution coefficient of the grounding grid coverage area with preset bias resistance threshold values and distribution threshold values respectively, and judging that the grounding resistance of the grounding grid coverage area meets the requirement if the bias resistance coefficient is smaller than the bias resistance threshold values and the distribution coefficient is smaller than the distribution threshold values; otherwise, judging that the grounding resistance of the grounding grid coverage area does not meet the requirement, and executing the step S2;
The obtaining process of the bias resistance coefficient and the distribution coefficient of the grounding grid coverage area comprises the following steps: marking the average value of the maximum value and the minimum value of the resistance standard range as a resistance standard value, marking the absolute value of the difference between the grounding resistance value of the detection point and the resistance standard value as the resistance deviation value of the detection point, marking the maximum value of the resistance deviation values of all the detection points in the grounding area as the resistance deviation data of the grounding area, summing the resistance deviation data of all the grounding areas, and taking the average value to obtain the resistance deviation coefficient of the grounding network coverage area; forming a distribution set by the bias resistance data of all the grounding areas, and performing variance calculation on all elements in the distribution set to obtain a distribution coefficient of a grounding grid coverage area;
Step S2, power station operation detection is carried out on the grounding grid coverage area: the method comprises the steps that an operation period is formed by the last ground resistance detection time and the current system time, the total number of power station operation faults occurring in a grounding area in the operation period is obtained, the fault value of the grounding area is marked, the power station influence coefficient of the grounding network coverage area is obtained through the bias resistance data and the fault value of the grounding area, the power station influence coefficient of the grounding network coverage area is compared with a preset power station influence threshold value, if the power station influence coefficient is smaller than the power station influence threshold value, the condition that the ground resistance abnormality of the grounding network coverage area is related to the power station operation faults is judged, a power station maintenance optimization signal is generated, and the power station maintenance optimization signal is sent to a mobile phone terminal of a manager; if the power station influence coefficient is greater than or equal to the power station influence threshold, judging that the ground resistance abnormality of the ground network coverage area is irrelevant to the power station operation fault, and executing the step S3;
The process for acquiring the power station influence coefficient of the grounding grid coverage area comprises the following steps: the method comprises the steps of arranging the grounding areas according to the sequence of the fault values from large to small to obtain a fault sequence of a grounding grid coverage area, arranging the grounding areas according to the sequence of the deviation resistance data values from large to small to obtain a deviation resistance sequence, marking the absolute value of the difference value between the arrangement sequence number of the grounding areas in the fault sequence and the arrangement sequence number in the deviation resistance sequence as a power station influence value of the grounding area, summing the power station influence values of all the grounding areas, and taking an average value to obtain a power station influence coefficient of the grounding grid coverage area;
S3, performing soil detection and analysis on the ground network coverage area; the method specifically comprises the following steps:
Step S31, obtaining a soil coefficient TR of the ground region: acquiring soil temperature data TW, soil humidity data TS and soil density data TM of a grounding area; the soil coefficient TR of the grounding area is obtained by carrying out numerical calculation on soil temperature data TW, soil humidity data TS and soil density data TM;
Step S32, marking the grounding area as a soil positive area or a soil abnormal area by the soil coefficient TR: comparing the soil coefficient TR of the grounding area with a preset soil threshold TRmax, and marking the grounding area as a positive soil area if the soil coefficient TR is smaller than the soil threshold TRmax; if the soil coefficient TR is greater than or equal to a soil threshold TRmax, marking the grounding area as a soil different area;
Step S33, marking the grounding area as a positive blocking area or a different blocking area through the bias blocking data: comparing the bias resistance data of the grounding area with a preset bias resistance threshold, and marking the grounding area as a positive resistance area if the bias resistance data is smaller than the bias resistance threshold; if the bias resistance data is greater than or equal to the bias resistance threshold, marking the grounding area as a different resistance area;
step S34, judging whether the ground resistance abnormality of the ground network coverage area is related to the soil environment or not;
In step S31, the process of acquiring soil temperature data TW of the ground area includes: obtaining a soil temperature value and a soil temperature range of a detection point, marking an average value of a maximum value and a minimum value of the soil temperature range as a soil temperature standard value, marking an absolute value of a difference value between the soil temperature value and the soil temperature standard value as a soil temperature representation value of the detection point, and marking the maximum value of the soil temperature representation values of all the detection points in a grounding area as soil temperature data TW of the grounding area;
The process for acquiring the soil humidity data TS comprises the following steps: obtaining a soil humidity value and a soil humidity range of a detection point, marking an average value of a maximum value and a minimum value of the soil humidity range as a soil humidity standard value, marking an absolute value of a difference value between the soil humidity value and the soil humidity standard value as a soil humidity representation value of the detection point, and marking the maximum value of the soil humidity representation values of all the detection points in a grounding area as soil humidity data TS of the grounding area;
The process for acquiring the soil density data TM comprises the following steps: obtaining a soil density value and a soil density range of detection points, marking an average value of a maximum value and a minimum value of the soil density range as a soil density standard value, marking an absolute value of a difference value between the soil density value and the soil density standard value as a soil density representation value, and marking the maximum value of the soil density representation values of all detection points in a grounding area as soil density data TM of the grounding area;
In step S34, the specific process for determining whether the ground resistance abnormality of the ground network coverage area is related to the soil environment includes: the method comprises the steps of marking a grounding area which is marked as a different-resistance area and a different-earth area as a double-standard area, marking the ratio of the number of the double-standard areas to the number of the grounding areas as a double-standard coefficient, and comparing the double-standard coefficient with a preset double-standard threshold value: if the double standard coefficient is smaller than the double standard threshold value, judging that the ground resistance abnormality of the ground network coverage area is irrelevant to the soil environment, generating a ground wire quality supervision signal and sending the ground wire quality supervision signal and the soil abnormal area to a mobile phone terminal of a manager; and if the double standard coefficient is greater than or equal to the double standard threshold value, judging that the ground resistance abnormality of the ground grid coverage area is related to the soil environment, generating a soil environment comprehensive optimization signal and transmitting the soil environment comprehensive optimization signal to a mobile phone terminal of a manager.
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| CN102495327A (en) * | 2011-12-13 | 2012-06-13 | 广东电网公司珠海供电局 | Detection method and device for design of grounding grid of substation |
| WO2019232595A1 (en) * | 2018-06-07 | 2019-12-12 | Federation University Australia | A method of estimating the location of a fault on an electrical distribution network and an associated system |
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