A grounding wire intelligent sensing system and method based on anti-error control

Abstract

The present invention provides a grounding wire intelligent sensing system and method based on anti-error control, belonging to the technical field of grounding wire installation. The system includes a server, and the server is communicatively connected with an intelligent sensing module, a risk assessment module, an erroneous operation training module and a database; the intelligent sensing module includes a removal sensing unit, an installation sensing unit and an electrical detection sensing unit; the risk assessment module is used to perform risk assessment and analysis on the entire process of grounding wire installation; the erroneous operation training module is used to analyze the erroneous operation training mode of the grounding wire construction team when the risk of the entire process of grounding wire installation does not meet the requirements. The present invention can sense and identify erroneous operation behaviors in the entire process of grounding wire removal and installation, and differentiate the sensing parts according to the erroneous operation behaviors of the sensing parts in each construction link, so as to provide data support for the risk analysis process of the entire process of grounding wire installation through the marking results.

Description

Technical Field

[0001] The present invention belongs to the technical field of grounding wire installation, and relates to intelligent sensing technology, in particular to a grounding wire intelligent sensing system and method based on anti-miscontrol. Background Art

[0002] With the rapid development of the power industry, the scale of distribution network line operations has gradually expanded, and the number of operators has increased year by year. Therefore, effective monitoring of the behavior of on-site operators, timely warning and other control measures are crucial to preventing personal accidents.

[0003] The intelligent sensing system for grounding wires in the prior art can only monitor misoperation behaviors during the installation of grounding wires, but cannot evaluate the risks during the installation of grounding wires through the overall misoperation monitoring data, and thus cannot perform processing decision analysis based on risk assessment, resulting in the inability to effectively curb the risks of the entire process of grounding wire installation.

[0004] In view of the above technical problems, this application proposes a solution. Summary of the invention

[0005] The purpose of the present invention is to provide a grounding wire intelligent sensing system and method based on anti-misoperation control, which is used to solve the problem that the prior art cannot evaluate the risks in the grounding wire installation process through the overall misoperation monitoring data;

[0006] The technical problem to be solved by the present invention is: how to provide a grounding wire intelligent perception system and method based on anti-error control that can evaluate the risks in the grounding wire installation process through overall misoperation monitoring data.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] The present invention provides a grounding wire intelligent perception system based on anti-error control, comprising a server, wherein the server is communicatively connected with an intelligent perception module, a risk assessment module, a misoperation training module and a database;

[0009] The intelligent sensing module includes a removal sensing unit, an installation sensing unit and an electrical detection sensing unit;

[0010] The removal sensing unit is used to perform misoperation sensing analysis on the removal process of the grounding wire: decompose the grounding wire into a plurality of sensing parts and mark the sensing parts as normal removal parts or abnormal removal parts;

[0011] The electrical detection sensing unit is used to perform electrical detection sensing analysis on the installation process of the grounding wire and mark the sensing location as a normal electrical detection location or an abnormal electrical detection location;

[0012] The installation sensing unit is used to perform error sensing analysis on the installation process of the ground wire and mark the sensed position as a normal installation position or an abnormal installation position;

[0013] The risk assessment module is used to perform risk assessment and analysis on the entire process of grounding wire installation: after all sensing parts of the grounding wire are installed, the triple data SC, double data EC and single data DY of the grounding wire are obtained and numerically calculated to obtain the risk coefficient FX, and the risk coefficient FX is used to determine whether the risk of the entire process of grounding wire installation meets the requirements;

[0014] The misoperation training module is used to analyze the misoperation training mode of the grounding wire construction team when the risk of the entire process of grounding wire installation does not meet the requirements.

[0015] Furthermore, the specific process of marking the sensed parts as normal demolition parts or abnormal demolition parts includes: arranging the sensed parts in order from first to last according to the construction sequence to obtain a sense sequence, and after the ground wire is removed, locating and analyzing the missed demolition operations and omitted operations in the sensed parts through GPS positioning technology: if there are missed demolition operations or omitted operations in the sensed parts, the sensed parts are marked as abnormal demolition parts; if there are no missed demolition operations and omitted operations in the sensed parts, the sensed parts are marked as normal demolition parts.

[0016] Furthermore, the specific process of marking the sensing part as a normal electrical test part or an abnormal electrical test part includes: conducting an electrical test before installing the grounding wire. If there is voltage in the equipment, the sensing part is marked as an abnormal electrical test part; if there is no voltage in the equipment, the sensing part is marked as a normal electrical test part.

[0017] Furthermore, the specific process of the installation sensing unit performing error sensing analysis on the installation process of the grounding wire includes: after the grounding wire is installed, a number of analysis points are set at the sensing position to obtain the lateral deviation data HP, longitudinal deviation data ZP and vertical deviation data CP of the analysis points; The positioning coefficient DW of the analysis point is obtained, wherein p1, p2 and p3 are all proportional coefficients, and p1>p2>p3>1; the positioning coefficients DW of all analysis points of the sensing part are summed and averaged to obtain the positioning performance value of the sensing part, the positioning performance threshold is retrieved through the database, and the positioning performance value of the sensing part is compared with the positioning performance threshold: if the positioning performance value is less than the positioning performance threshold, the sensing part is marked as an abnormally installed part; if the positioning performance value is greater than or equal to the positioning performance threshold, the sensing part is marked as a normally installed part.

[0018] Furthermore, the process of acquiring the lateral deviation data HP, longitudinal deviation data ZP and vertical deviation data CP of the analysis point includes: acquiring the installation position and the standard position of the sensing part through GPS positioning technology, marking the cable length value between the analysis point and the starting installation point of the installation position as the positioning value, marking the point whose cable length value between the analysis point and the starting installation point of the standard position is the positioning value as the positioning point of the analysis point, marking the lateral distance value between the analysis point and the positioning point as the lateral deviation data HP, marking the longitudinal distance value between the analysis point and the positioning point as the longitudinal deviation data ZP, and marking the height distance value between the analysis point and the positioning point as the vertical deviation data CP.

[0019] Furthermore, the process of acquiring triple data SC includes: forming a demolition anomaly set from the serial numbers of all demolition abnormal parts in the perception sequence, forming an electrical test anomaly set from the serial numbers of all electrical test abnormal parts in the perception sequence, forming an installation anomaly set from the serial numbers of all installation abnormal parts in the perception sequence, marking the intersection of the demolition anomaly set, the electrical test anomaly set and the installation anomaly set as a triple set, and marking the number of elements of the triple set as triple data SC; the process of acquiring double data EC includes: marking the intersection of any two sets among the demolition anomaly set, the electrical test anomaly set and the installation anomaly set as a double set, and marking the sum of the number of elements of the three double sets as double data EC; the process of acquiring single data DY includes: marking the sum of the number of elements of the demolition anomaly set, the electrical test anomaly set and the installation anomaly set as a single data DY.

[0020] Furthermore, the specific process of determining whether the risk of the entire grounding wire installation process meets the requirements includes: retrieving the risk threshold FXmax through the database, and comparing the risk coefficient FX with the risk threshold FXmax: if the risk coefficient FX is less than the risk threshold FXmax, then it is determined that the risk of the entire grounding wire installation process meets the requirements; if the risk coefficient FX is greater than or equal to the risk threshold FXmax, then it is determined that the risk of the entire grounding wire installation process does not meet the requirements, and a training optimization signal is generated and the training optimization signal is sent to the misoperation training module through the server.

[0021] Furthermore, the specific process of analyzing the misoperation training model of the grounding wire construction team includes: marking the construction teams at the sensing positions corresponding to the elements in the triple set and the double set as training objects, marking the ratio of the number of training objects to the number of all construction teams of the grounding wire as the coverage coefficient, retrieving the coverage threshold through the database, and comparing the coverage coefficient with the coverage threshold: if the coverage coefficient is less than the coverage threshold, a comprehensive training signal is generated and sent to the mobile phone terminal of the manager through the server; if the coverage coefficient is greater than or equal to the coverage threshold, a targeted training signal is generated and sent to the mobile phone terminal of the manager through the server.

[0022] The present invention also provides a grounding wire intelligent sensing method based on anti-error control, comprising the following steps:

[0023] Step 1: Analyze the misoperation during the removal of the ground wire and mark the sensed part as a normal removal part or an abnormal removal part;

[0024] Step 2: Conducting electrical sensing analysis on the installation process of the grounding wire and marking the sensing location as a normal electrical sensing location or an abnormal electrical sensing location;

[0025] Step 3: Perform error perception analysis on the installation process of the grounding wire and mark the sensed part as a normal installation part or an abnormal installation part;

[0026] Step 4: Conduct risk assessment and analysis on the entire process of grounding wire installation: After all sensing parts of the grounding wire are installed, obtain the triple data SC, double data EC and single data DY of the grounding wire and perform numerical calculation to obtain the risk coefficient FX. Use the risk coefficient FX to determine whether the risk of the entire process of grounding wire installation meets the requirements. If it does not meet the requirements, execute step 5;

[0027] Step five: Analyze the misoperation training model of the grounding wire construction team.

[0028] The present invention has the following beneficial effects:

[0029] The intelligent sensing module can sense and identify the misoperation behaviors in the whole process of ground wire removal and installation, and mark the sensing parts differently according to the misoperation behaviors in each construction link, so as to provide data support for the risk analysis process through the marking results;

[0030] The risk assessment module can be used to conduct risk assessment and analysis on the entire process of grounding wire installation, and the marking results of all sensing parts in all construction links can be counted and calculated to obtain the risk coefficient. Then, the overall risk of the entire process of grounding wire installation can be assessed through the risk coefficient, and timely warnings can be issued when the risk of the entire process of grounding wire installation is abnormal.

[0031] The error operation training module can be used to analyze the error operation training mode from the perspective of the construction team, and the error operation training mode can be marked by the proportion of the number of training subjects in all construction teams. In this way, when the risk of the whole process of grounding wire installation is abnormal, the most efficient way can be used to correct the error operation training, reduce the risk of subsequent construction, and effectively curb the risk of the whole process of grounding wire installation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 is a system block diagram of Embodiment 1 of the present invention;

[0034] Figure 2 This is a flow chart of the method of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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. Embodiment 1

[0036] like Figure 1 As shown, a grounding wire intelligent perception system based on anti-error control includes a server, and the server is communicatively connected with an intelligent perception module, a risk assessment module, a misoperation training module and a database.

[0037] The intelligent sensing module includes a removal sensing unit, an installation sensing unit and an electrical testing sensing unit to sense and identify incorrect operations in the entire process of grounding wire removal and installation. The sensing parts are differentiated and marked according to the incorrect operations in each construction link, thereby providing data support for the risk analysis process through the marking results.

[0038] The demolition sensing unit is used to perform perception analysis on the misoperation during the demolition process of the grounding wire: the grounding wire is decomposed into several sensing parts, and the sensing parts are arranged in order of construction from first to last to obtain a perception sequence. After the grounding wire is removed, the GPS positioning technology is used to perform positioning analysis on the missed demolition operations and omitted operations in the sensing parts: if there are missed demolition operations or omitted operations in the sensing parts, the sensing parts will be marked as abnormal demolition parts; if there are no missed demolition operations or omitted operations in the sensing parts, the sensing parts will be marked as normal demolition parts.

[0039] Among them, ground wire omission refers to the failure to properly remove the ground wire in accordance with regulations during the installation or removal of the ground wire, resulting in the equipment or line being energized during maintenance or construction. Ground wire omission refers to the failure to properly connect the ground terminal or not connect it at all during the installation or maintenance of the equipment, resulting in the inability to effectively ground the equipment.

[0040] The electrical detection sensing unit is used to perform electrical detection sensing analysis on the installation process of the grounding wire: an electrical detection is performed before the grounding wire is installed. If there is voltage on the equipment, the sensing part is marked as an abnormal electrical detection part; if there is no voltage on the equipment, the sensing part is marked as a normal electrical detection part.

[0041] The installation sensing unit is used to perform error sensing analysis on the installation process of the grounding wire: after the grounding wire is installed, a number of analysis points are set on the sensing part to obtain the lateral deviation data HP, longitudinal deviation data ZP and vertical deviation data CP of the analysis points: the installation position and the standard position of the sensing part are obtained through GPS positioning technology, the cable length value between the analysis point and the starting installation point of the installation position is marked as the positioning value, the point with the cable length value between the starting installation point of the standard position as the positioning value is marked as the positioning point of the analysis point, the lateral distance value between the analysis point and the positioning point is marked as the lateral deviation data HP, the longitudinal distance value between the analysis point and the positioning point is marked as the longitudinal deviation data ZP, and the height distance value between the analysis point and the positioning point is marked as the vertical deviation data CP; through the formula The positioning coefficient DW of the analysis point is obtained, wherein p1, p2 and p3 are all proportional coefficients, and p1>p2>p3>1; the positioning coefficients DW of all analysis points of the sensing part are summed and averaged to obtain the positioning performance value of the sensing part, the positioning performance threshold is retrieved through the database, and the positioning performance value of the sensing part is compared with the positioning performance threshold: if the positioning performance value is less than the positioning performance threshold, the sensing part is marked as an abnormally installed part; if the positioning performance value is greater than or equal to the positioning performance threshold, the sensing part is marked as a normally installed part.

[0042] The risk assessment module is used to perform risk assessment and analysis on the whole process of grounding wire installation: after all sensing parts of the grounding wire are installed, the triple data SC, double data EC and single data DY of the grounding wire are obtained; wherein, the acquisition process of the triple data SC includes: the sequence numbers of all abnormal dismantling parts in the sensing sequence constitute a dismantling abnormality set, the sequence numbers of all abnormal power testing parts in the sensing sequence constitute a power testing abnormality set, the sequence numbers of all abnormal installation parts in the sensing sequence constitute an installation abnormality set, the intersection of the dismantling abnormality set, the power testing abnormality set and the installation abnormality set is marked as a triple set, and the number of elements of the triple set is marked as the triple data SC; the acquisition process of the double data EC includes: the intersection of any two sets among the dismantling abnormality set, the power testing abnormality set and the installation abnormality set is marked as a double set, and the sum of the number of elements of the three double sets is marked as the double data EC; the acquisition process of the single data DY includes: the dismantling abnormality set, the power testing abnormality set and the installation abnormality set are marked as a double set. The sum of the number of elements in the abnormal set is marked as a single data DY; the risk coefficient FX is obtained through the formula FX=m1×SC+m2×EC+m3×DY, where m1, m2 and m3 are all proportional coefficients, and m1>m2>m3>1; the risk threshold FXmax is retrieved from the database, and the risk coefficient FX is compared with the risk threshold FXmax: if the risk coefficient FX is less than the risk threshold FXmax, it is determined that the risk of the entire process of grounding wire installation meets the requirements; if the risk coefficient FX is greater than or equal to the risk threshold FXmax, it is determined that the risk of the entire process of grounding wire installation does not meet the requirements, and a training optimization signal is generated and sent to the misoperation training module through the server; by conducting risk assessment and analysis on the entire process of grounding wire installation, the marking results of all sensing parts in all construction links are statistically analyzed and calculated to obtain the risk coefficient, and then the overall risk of the entire process of grounding wire installation is evaluated through the risk coefficient, and timely warning is issued when the risk of the entire process of grounding wire installation is abnormal.

[0043] The misoperation training module is used to analyze the misoperation training mode of the grounding wire construction team when the risk of the whole process of grounding wire installation does not meet the requirements: the construction teams at the corresponding sensing parts of the elements in the triple set and the double set are marked as training objects, and the ratio of the number of training objects to the number of all grounding wire construction teams is marked as the coverage coefficient. The coverage threshold is retrieved through the database, and the coverage coefficient is compared with the coverage threshold: if the coverage coefficient is less than the coverage threshold, a comprehensive training signal is generated and sent to the mobile terminal of the manager through the server; if the coverage coefficient is greater than or equal to the coverage threshold, a targeted training signal is generated and sent to the mobile terminal of the manager through the server; the misoperation training mode is analyzed from the perspective of the construction team, and the misoperation training mode is marked by the proportion of the number of training objects in all construction teams, so that the most efficient way can be adopted to correct misoperation training when the risk of the whole process of grounding wire installation is abnormal, thereby reducing the risk of subsequent construction. Embodiment 2

[0044] like Figure 2 As shown, a grounding wire intelligent sensing method based on anti-error control includes the following steps:

[0045] Step 1: Analyze the misoperation during the removal of the ground wire and mark the sensed part as a normal removal part or an abnormal removal part;

[0046] Step 2: Conducting electrical sensing analysis on the installation process of the grounding wire and marking the sensing location as a normal electrical sensing location or an abnormal electrical sensing location;

[0047] Step 3: Perform error perception analysis on the installation process of the grounding wire and mark the sensed part as a normal installation part or an abnormal installation part;

[0048] Step 4: Conduct risk assessment and analysis on the entire process of grounding wire installation: After all sensing parts of the grounding wire are installed, obtain the triple data SC, double data EC and single data DY of the grounding wire and perform numerical calculation to obtain the risk coefficient FX. Use the risk coefficient FX to determine whether the risk of the entire process of grounding wire installation meets the requirements. If it does not meet the requirements, execute step 5;

[0049] Step five: Analyze the misoperation training model of the grounding wire construction team.

[0050] An intelligent sensing system and method for grounding wires based on error-proof control, when working, performs error-operation sensing analysis on the removal process of the grounding wires and marks the sensing parts as normal removal parts or abnormal removal parts; performs electrical test sensing analysis on the installation process of the grounding wires and marks the sensing parts as normal electrical test parts or abnormal electrical test parts; performs error sensing analysis on the installation process of the grounding wires and marks the sensing parts as normal installation parts or abnormal installation parts; after all sensing parts of the grounding wires are installed, obtains triple data SC, double data EC and single data DY of the grounding wires and performs numerical calculation to obtain a risk coefficient FX, determines whether the risk of the entire process of grounding wire installation meets the requirements through the risk coefficient FX, and if it does not meet the requirements, analyzes the error-operation training mode of the grounding wire construction team and sends a comprehensive training signal or a targeted training signal to the mobile phone terminal of the manager.

[0051] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0052] The above formulas are obtained by collecting a large amount of data and performing software simulation to select a formula close to the actual value. The coefficients in the formula are set by technicians in this field according to actual conditions; for example: Formula ; A technician in this field collects multiple groups of sample data and sets a corresponding positioning coefficient for each group of sample data; Substitute the set positioning coefficient and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, screen the calculated coefficients and take the average, and obtain the values ​​of p1, p2 and p3 as 3.72, 2.94 and 2.61 respectively;

[0053] The size of the coefficient is a specific value obtained by quantifying each parameter, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding positioning coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the positioning coefficient is inversely proportional to the value of the lateral deviation data.

[0054] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0055] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent grounding wire sensing system based on anti-error control, characterized in that: It includes a server, wherein the server is communicatively connected with an intelligent perception module, a risk assessment module, a misoperation training module and a database; The intelligent sensing module includes a removal sensing unit, an installation sensing unit and an electrical detection sensing unit; The removal sensing unit is used to perform misoperation sensing analysis on the removal process of the grounding wire: decompose the grounding wire into a plurality of sensing parts and mark the sensing parts as normal removal parts or abnormal removal parts; The electrical detection sensing unit is used to perform electrical detection sensing analysis on the installation process of the grounding wire and mark the sensing location as a normal electrical detection location or an abnormal electrical detection location; The installation sensing unit is used to perform error sensing analysis on the installation process of the ground wire and mark the sensed position as a normal installation position or an abnormal installation position; The risk assessment module is used to perform risk assessment and analysis on the entire process of grounding wire installation: after all sensing parts of the grounding wire are installed, the triple data SC, double data EC and single data DY of the grounding wire are obtained and numerically calculated to obtain the risk coefficient FX, and the risk coefficient FX is used to determine whether the risk of the entire process of grounding wire installation meets the requirements; The misoperation training module is used to analyze the misoperation training mode of the grounding wire construction team when the risk of the whole process of grounding wire installation does not meet the requirements; The acquisition process of the triple data SC includes: forming a dismantling anomaly set from the serial numbers of all dismantling anomaly parts in the perception sequence, forming a power-testing anomaly set from the serial numbers of all power-testing anomaly parts in the perception sequence, forming an installation anomaly set from the serial numbers of all installation anomaly parts in the perception sequence, marking the intersection of the dismantling anomaly set, the power-testing anomaly set and the installation anomaly set as a triple set, and marking the number of elements of the triple set as the triple data SC; The process of obtaining the double data EC includes: marking the intersection of any two sets among the removal anomaly set, the power inspection anomaly set and the installation anomaly set as a double set, and marking the sum of the number of elements of the three double sets as the double data EC; The process of obtaining the single data DY includes: marking the sum of the number of elements of the removal anomaly set, the power inspection anomaly set and the installation anomaly set as the single data DY; The specific process of determining whether the risk of the entire process of grounding wire installation meets the requirements includes: retrieving the risk threshold FXmax through the database, and comparing the risk coefficient FX with the risk threshold FXmax: if the risk coefficient FX is less than the risk threshold FXmax, it is determined that the risk of the entire process of grounding wire installation meets the requirements; if the risk coefficient FX is greater than or equal to the risk threshold FXmax, it is determined that the risk of the entire process of grounding wire installation does not meet the requirements, and a training optimization signal is generated and sent to the misoperation training module through the server; The specific process of analyzing the misoperation training model of the grounding wire construction team includes: marking the construction teams at the sensing positions corresponding to the elements in the triple set and the double set as training objects, marking the ratio of the number of training objects to the number of all construction teams of the grounding wire as the coverage coefficient, retrieving the coverage threshold through the database, and comparing the coverage coefficient with the coverage threshold: if the coverage coefficient is less than the coverage threshold, a comprehensive training signal is generated and sent to the mobile phone terminal of the manager through the server; if the coverage coefficient is greater than or equal to the coverage threshold, a targeted training signal is generated and sent to the mobile phone terminal of the manager through the server.

2. According to claim 1, a grounding wire intelligent sensing system based on anti-error control is characterized in that: The specific process of marking the sensed parts as normal demolition parts or abnormal demolition parts includes: arranging the sensed parts in order from first to last according to the construction sequence to obtain a sensed sequence, and after the ground wire is removed, locating and analyzing the missed demolition operations and omitted operations in the sensed parts through GPS positioning technology: if there are missed demolition operations or omitted operations in the sensed parts, the sensed parts are marked as abnormal demolition parts; if there are no missed demolition operations and omitted operations in the sensed parts, the sensed parts are marked as normal demolition parts.

3. The grounding wire intelligent sensing system based on anti-error control according to claim 1 is characterized in that: The specific process of marking the sensing part as a normal electrical test part or an abnormal electrical test part includes: conducting an electrical test before installing the grounding wire. If there is voltage on the equipment, the sensing part is marked as an abnormal electrical test part; if there is no voltage on the equipment, the sensing part is marked as a normal electrical test part.

4. The intelligent grounding wire sensing system based on anti-error control according to claim 1 is characterized in that: The specific process of the installation perception unit performing error perception analysis on the installation process of the grounding wire includes: after the grounding wire is installed, a number of analysis points are set on the perception part to obtain the lateral deviation data HP, longitudinal deviation data ZP and vertical deviation data CP of the analysis points; the positioning coefficient DW of the analysis point is obtained by the formula, wherein p1, p2 and p3 are all proportional coefficients, and p1>p2>p3>1; the positioning coefficients DW of all analysis points in the perception part are summed and averaged to obtain the positioning performance value of the perception part, the positioning performance threshold is retrieved through the database, and the positioning performance value of the perception part is compared with the positioning performance threshold: if the positioning performance value is less than the positioning performance threshold, the perception part is marked as an abnormal installation part; if the positioning performance value is greater than or equal to the positioning performance threshold, the perception part is marked as a normal installation part.

5. The grounding wire intelligent sensing system based on anti-error control according to claim 4 is characterized in that: The process of acquiring the lateral deviation data HP, longitudinal deviation data ZP and vertical deviation data CP of the analysis point includes: acquiring the installation position and the standard position of the sensing part through GPS positioning technology, marking the cable length value between the analysis point and the starting installation point of the installation position as the positioning value, marking the point whose cable length value between the analysis point and the starting installation point of the standard position is the positioning value as the positioning point of the analysis point, marking the lateral distance value between the analysis point and the positioning point as the lateral deviation data HP, marking the longitudinal distance value between the analysis point and the positioning point as the longitudinal deviation data ZP, and marking the height distance value between the analysis point and the positioning point as the vertical deviation data CP.

6. A grounding wire intelligent sensing method based on anti-error control, characterized in that: The intelligent sensing system for grounding wire based on anti-mistake control as claimed in any one of claims 1 to 5 comprises the following steps: Step 1: Analyze the misoperation during the removal of the ground wire and mark the sensed part as a normal removal part or an abnormal removal part; Step 2: Conducting electrical sensing analysis on the installation process of the grounding wire and marking the sensing location as a normal electrical sensing location or an abnormal electrical sensing location; Step 3: Perform error perception analysis on the installation process of the grounding wire and mark the sensed part as a normal installation part or an abnormal installation part; Step 4: Conduct risk assessment and analysis on the entire process of grounding wire installation: After all sensing parts of the grounding wire are installed, obtain the triple data SC, double data EC and single data DY of the grounding wire and perform numerical calculation to obtain the risk coefficient FX. Use the risk coefficient FX to determine whether the risk of the entire process of grounding wire installation meets the requirements. If it does not meet the requirements, proceed to step 5. Step five: Analyze the misoperation training model of the grounding wire construction team.

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