A power facility maintenance system based on smart Internet of Things

Abstract

The present invention discloses a power facility maintenance system based on smart Internet of Things, which belongs to the field of power maintenance technology, and includes: a node current detection module, which obtains effective current information at each cable node; a data acquisition module, which obtains associated parameter information on the cable; an environment acquisition module, which obtains historical environmental information of the area where the cable in each node interval is located from the local meteorological bureau; a comprehensive processing and analysis platform, which analyzes the effective current information obtained at each cable node, determines whether the cable in each node interval fails, and finds out the specific location segment where the fault occurs in the fault node interval according to the obtained associated parameter information, so as to perform corresponding maintenance. The present invention performs maintenance management of the cable in the node interval with different intensities by obtaining the historical environmental information of each node interval and combining the fault situation in the node interval, so as to ensure that the cable can operate stably.

Description

Technical Field

[0001] The present invention belongs to the technical field of power maintenance, and in particular relates to a power facility maintenance system based on a smart Internet of Things. Background Art

[0002] Power facilities are the carriers of electric energy production, transmission and supply, and are important social public facilities. Generally, power generation, transmission and transformation, distribution, power dispatching, power communication and other facilities that are in operation, standby or maintenance, as well as related auxiliary facilities, are all power facilities. Common power facilities in life include substations, transformers, power cable lines, iron towers and poles, cable junction boxes, meter boxes, distribution rooms, etc.

[0003] The safe and stable operation of power facilities is related to all aspects of our production and life, so it is necessary to inspect and maintain power facilities to ensure stable operation. For example, when maintaining underground cables, professional inspectors are usually arranged to use inspection equipment to inspect along the cable burial route to maintain abnormal cable locations; however, manual inspections consume a lot of human resources, and the accuracy of the test results is affected by the professionalism of the inspectors, resulting in inaccurate inspections; in addition, due to the long span of the cable, the environment in different areas has different effects on the cable. Generally, cable maintenance is only based on experience to maintain the entire cable with uniform intensity, which may result in insufficient maintenance in areas where the cable is severely damaged, thus affecting the use of the cable. Summary of the invention

[0004] The purpose of the present invention is to provide a power facility maintenance system based on a smart Internet of Things to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] A power facility maintenance system based on smart Internet of Things, the system comprising:

[0007] A node current detection module, which is used to obtain effective current information at each cable node and transmit the effective current information to a comprehensive processing and analysis platform through the Internet of Things technology;

[0008] A data acquisition module, which is used to obtain the associated parameter information on the cable and transmit the associated parameter information to the comprehensive processing and analysis platform through the Internet of Things technology;

[0009] An environment collection module, which is used to obtain historical environmental information of the area where the cables in each node interval are located from the local meteorological bureau, and transmit the historical environmental information to the maintenance management module through the Internet of Things technology;

[0010] A comprehensive processing and analysis platform, which is used to analyze the effective current information obtained at each cable node, obtain the cable fault coefficient of each node interval, and judge whether the cable in each node interval is faulty according to the cable fault coefficient; at the same time, the comprehensive processing and analysis platform also finds the specific location section of the fault node interval according to the obtained associated parameter information, so as to perform corresponding maintenance;

[0011] A maintenance management module is provided, wherein the maintenance management module performs maintenance management of different intensities on the cables in the corresponding node intervals according to the acquired historical environment information and the generated fault information.

[0012] Furthermore, the associated parameter information includes temperature information of the cable and ground resistance information at the cable, and the historical environmental information includes weather temperature information, rainfall information and acid rain information.

[0013] Furthermore, the comprehensive processing and analysis platform performs analysis in the following manner:

[0014] In the preset period ∆ T In the current node, the effective current is obtained, so as to formulate the effective current curve of the current node over time. I i ( t ), and obtain the effective current of the next node, so as to formulate the effective current variation curve of the next node over time I i-1 ( t );

[0015] By formula The cable fault coefficient K of the node interval is obtained I ;

[0016] When K I＞1 When , it is determined that the cable in the node section is faulty and is identified as a faulty node section;

[0017] Where, ∆T=t2-t1, It is the maximum effective current deviation allowed by the system.

[0018] Furthermore, the method for the comprehensive processing and analysis platform to find out the specific location segment where the fault occurs in the fault node interval according to the acquired associated parameter information is:

[0019] The cables in the fault node interval are divided into n detection sections, and the temperature change information and ground resistance change information of the cables in each detection section are obtained;

[0020] By formula Obtain the risk value of each detection segment G j ;

[0021] The risk value you will get G j Preset risk thresholds G xd Make a comparison,

[0022] when G j＞ G xd When , it is considered that the detection section has a fault;

[0023] Among them, α1 and α2 are the proportional coefficients preset by the system, and , GT j is the temperature risk value, GR j is the ground resistance risk value .

[0024] Furthermore, the temperature risk value GT j The method to obtain it is:

[0025] In the preset period ∆ T The temperature risk value is calculated by the formula GT j ;

[0026] ;

[0027] in, T j ( t ) is the j The detection segment t The temperature value at the moment, t 1 is the preset cycle start time point, t x It is the preset period detection time point.

[0028] Furthermore, the ground resistance risk value GR j The acquisition method is:

[0029] In the preset period ∆ T The ground resistance risk value is calculated by the formula GR j ;

[0030]

[0031] in, R j ( t ) is the j The detection segment tThe ground resistance value at the time.

[0032] Furthermore, the maintenance management module performs maintenance management in the following manner:

[0033] Get the number of failures b in each node interval within a year, and also get the number of acid rain p in each node interval within a year, the rainfall w in each node interval within a year, and the average temperature in each node interval within a year T v ;

[0034] By formula Obtain the judgment reference value DD;

[0035] According to the size of the judgment benchmark value, the cables in the node interval are maintained and managed with different intensities;

[0036] The larger the judgment reference value of the node interval is, the higher the maintenance intensity of the cable in the node interval is;

[0037] Among them, A is the elimination parameter, w xd The standard rainfall preset for the system. T vxd The standard average temperature preset for the system.

[0038] Beneficial effects of the present invention:

[0039] The present invention determines whether the cable in each node interval is faulty according to the difference change between the effective currents obtained between different nodes, so that the specific node interval where the cable is faulty can be quickly found, and the detection range can be effectively narrowed; at the same time, after the faulty node interval is determined, the temperature information of the cable in the faulty node interval and the ground resistance information at the cable can be obtained through the Internet of Things technology, and the specific location segment where the fault occurs in the faulty node interval can be found according to the changes in the temperature information and the ground resistance information, so as to quickly determine the location segment where the fault occurs, and perform corresponding maintenance and management on the corresponding location segment, which can save human resources and greatly improve the detection efficiency and detection accuracy.

[0040] The present invention also obtains the historical environmental information of each node interval and combines it with the fault conditions that occurred in the node interval to obtain the judgment reference value of the node interval, and performs maintenance management of different intensities on the cables in the corresponding node interval according to the size of the judgment reference value. In this way, different intensities of maintenance can be performed on the cables according to the conditions of different node intervals, thereby ensuring that the cables can operate stably. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are 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 creative work.

[0042] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] In one embodiment, a power facility maintenance system based on the smart Internet of Things is disclosed, such as Figure 1 As shown, the system includes:

[0045] Node current detection module: The node current detection module is used to obtain the effective current information at each cable node and transmit the effective current information to the comprehensive processing and analysis platform through the Internet of Things technology;

[0046] Data acquisition module, which is used to obtain the associated parameter information on the cable and transmit the associated parameter information to the comprehensive processing and analysis platform through the Internet of Things technology. The associated parameter information includes the temperature information of the cable and the ground resistance information at the cable;

[0047] Environmental collection module: The environmental collection module is used to obtain historical environmental information of the area where the cables are located in each node interval from the local meteorological bureau, and transmit the historical environmental information to the maintenance management module through the Internet of Things technology. The historical environmental information includes weather temperature information, rainfall information and acid rain information;

[0048] Comprehensive processing and analysis platform: The comprehensive processing and analysis platform is used to analyze the effective current information obtained at each cable node, and obtain the cable fault coefficient of each node interval, so as to judge whether the cable in each node interval has a fault according to the cable fault coefficient. At the same time, the comprehensive processing and analysis platform also finds the specific location section of the fault node interval according to the obtained associated parameter information, so as to perform corresponding maintenance;

[0049] The maintenance management module performs maintenance management of different intensities on the cables in the corresponding node intervals based on the acquired historical environmental information and the generated fault information.

[0050] Through the above technical scheme, the present application determines whether the cable in each node interval is faulty according to the difference change between the effective currents obtained between different nodes, so that the specific node interval where the cable is faulty can be quickly found, which can effectively narrow the detection range; at the same time, after determining the faulty node interval, the temperature information of the cable in the faulty node interval and the ground resistance information at the cable can be obtained through the Internet of Things technology, and the specific location segment where the fault occurs in the faulty node interval can be found according to the changes in the temperature information and the ground resistance information, so as to quickly determine the location segment where the fault occurs, and perform corresponding maintenance and management on the corresponding location segment, which can save human resources, and the detection efficiency and detection accuracy can be greatly improved. In addition, the present application also obtains the judgment reference value of the node interval by obtaining the historical environmental information of each node interval and combining the fault situation of the node interval, and performs maintenance and management of the cable in the corresponding node interval with different intensities according to the size of the judgment reference value, so that the cable can be maintained with different intensities according to the conditions of different node intervals, which can ensure that the cable can operate stably.

[0051] As an embodiment of the present invention, the method for performing analysis by the comprehensive processing and analysis platform is:

[0052] In the preset period ∆ T In the current node, the effective current is obtained, so as to formulate the effective current curve of the current node over time. I i ( t ), and obtain the effective current of the next node, so as to formulate the effective current variation curve of the next node over time I i-1 ( t );

[0053] By formula The cable fault coefficient K of the node interval is obtained I ;

[0054] When K I＞1 When , it is determined that the cable in the node section is faulty and is identified as a faulty node section;

[0055] Where, ∆T=t2-t1, It is the maximum effective current deviation allowed by the system.

[0056] Through the above technical solution, this embodiment provides a method for determining whether a cable in a node interval is faulty. Since the cable span is long, multiple transmission nodes are generally set to meet the transmission distance. Therefore, when the cable needs to be inspected, a preset period ∆ T, and obtain the effective current obtained at the current node during the cycle time, so as to formulate the effective current change curve of the current node over time I i ( t ), and obtain the effective current of the next node, so as to formulate the effective current variation curve of the next node over time I i-1 ( t ), and then through the formula The cable fault coefficient K of the node interval is obtained I ,formula It can show the difference between the effective current when the cable is transmitted from the current node to the next node. Generally speaking, the smaller the difference between the two, the better the cable transmission efficiency and the smaller the possibility of cable failure. However, due to the cable's own material and other reasons, the current transmitted from the current node to the next node will have a certain loss during transmission, so a maximum deviation value of the effective current allowed by the system is set. , and compare the difference between When the difference value exceeds the maximum deviation value of the effective current allowed by the system, that is, when K I＞1 When the cable transmission is abnormal, it is determined that the cable in the node interval is faulty, and the node interval is identified as the faulty node interval. In this way, it can be known which node interval has a problem during cable transmission. This can shorten the inspection time, quickly understand the approximate location of the fault, and effectively narrow the detection range.

[0057] It should be noted that the maximum effective current deviation ∆maxI allowed by the system can be obtained based on simulation experimental data and will not be described in detail here.

[0058] As an implementation mode of the present invention, the method for the comprehensive processing and analysis platform to find out the specific location segment where the fault occurs in the fault node interval according to the acquired associated parameter information is as follows:

[0059] The cables in the fault node interval are divided into n detection sections, and the temperature change information and ground resistance change information of the cables in each detection section are obtained;

[0060] By formula Obtain the risk value of each detection segment G j ;

[0061] The risk value you will get G j Preset risk thresholds G xd Make a comparison,

[0062] whenG j＞ G xd When , it is considered that the detection section has a fault;

[0063] Among them, α1 and α2 are the proportional coefficients preset by the system, and , GT j is the temperature risk value, GR j is the ground resistance risk value .

[0064] Through the above technical scheme, this embodiment provides a method for the comprehensive processing and analysis platform to find out the specific location segment where the fault occurs in the fault node interval according to the obtained associated parameter information. Since the cable span of the node interval is still a certain distance, in order to more accurately find the fault location for maintenance, this embodiment divides the cable in the fault node interval into n detection segments. The detection segments can be divided according to actual conditions, such as according to the location of the installed temperature measuring equipment or ground resistance sensor, so as to obtain the temperature change information of the cable in each detection segment and the ground resistance change information. Each detection segment is equipped with a temperature measuring equipment and a ground resistance sensor, and has its corresponding position coordinates in the simulated digital twin model, so that through the formula Obtain the risk value of each detection segment G j , the obtained temperature risk value is combined with the ground resistance risk value for comprehensive analysis, so that the risk value of each detection section can be more accurately obtained, and then the obtained risk value G j Preset risk thresholds G xd For comparison, when G j＞ G xd When the risk value of the detection segment exceeds the threshold, it is considered that the detection segment is faulty, and the cable of the detection segment is judged to be abnormal and needs corresponding maintenance, so as to quickly determine the specific location of the fault, thereby facilitating maintenance for personnel.

[0065] In the above technical solution, the system preset proportional coefficients α1, α2 and the system preset risk threshold G xd It can be obtained based on empirical data and will not be described in detail here.

[0066] As an embodiment of the present invention, the temperature risk value GT j The method to obtain it is:

[0067] In the preset period ∆T The temperature risk value is calculated by the formula GT j ;

[0068]

[0069] in, T j ( t ) is the j The detection segment t The temperature value at the moment, t 1 is the preset cycle start time point, t x It is the preset period detection time point.

[0070] Ground resistance risk value GR j The acquisition method is: in the preset period ∆ T The ground resistance risk value is calculated by the formula GR j ;

[0071]

[0072] in, R j ( t ) is the j The detection segment t The ground resistance value at the time.

[0073] Through the above technical solution, this embodiment provides a temperature risk value GT j And the ground resistance risk value GR j The specific method of obtaining the value is that when a cable fails, its temperature and the resistance of the ground resistor will change greatly. For example, when the cable leaks electricity, the temperature will increase and the ground resistance will also increase. Therefore, the formula Calculate the temperature risk value GT j , through the formula Calculate the ground resistance risk value GR j From the formula It can be seen from the historical time period within the node interval that the temperature difference between one detection segment and all detection segments is a condition, from the formula It can be seen that at the current detection time, the temperature difference between a certain detection segment and all detection segments is the same, and then through the formula Combine the historical temperature difference and the current temperature difference to conduct a comprehensive analysis to derive the temperature risk value GT jSince the environment of the cables in the entire node interval is relatively the same, the smaller the temperature difference between a certain detection section and the overall detection section, the higher the temperature risk value. GT j The smaller the value, the more normal the detection section is. On the contrary, when the temperature risk value is larger, the possibility of failure in the detection section is higher. It can be seen from the historical time period within the node interval that the difference in ground resistance between one detection segment and all detection segments is a condition, from the formula It can be seen that at the current detection time, the difference in ground resistance between a certain detection segment and all detection segments, and then through the formula Combined with the historical ground resistance difference and the current ground resistance difference, a comprehensive analysis is performed to derive the ground resistance risk value. GR j Since the environment of the cables in the entire node interval is relatively the same, the smaller the ground resistance difference between a certain detection section and the overall detection section, the greater the ground resistance risk value. GR j The smaller the value, the more normal the detection section is. On the contrary, the larger the ground resistance risk value, the higher the possibility of failure in the detection section. In this way, the temperature risk value and ground resistance risk value can be obtained based on the historical data of temperature and ground resistance of each detection section combined with the current data. The value can be used to determine whether the cable of the detection section is abnormal, and the abnormal location can be obtained quickly and accurately, which is convenient for subsequent maintenance.

[0074] In the above technical solution, the preset period detection time point t x It can be determined according to actual conditions and will not be introduced in detail here.

[0075] As an implementation mode of the present invention, the maintenance management module performs maintenance management in the following manner:

[0076] Get the number of failures b in each node interval within a year, and also get the number of acid rain p in each node interval within a year, the rainfall w in each node interval within a year, and the average temperature in each node interval within a year T v ;

[0077] By formula Obtain the judgment reference value DD;

[0078] According to the size of the judgment benchmark value, the cables in the node interval are maintained and managed with different intensities;

[0079] The larger the judgment reference value of the node interval is, the higher the maintenance intensity of the cable in the node interval is;

[0080] Among them, A is the elimination parameter, w xd The standard rainfall preset for the system. T vxd The standard average temperature preset for the system.

[0081] Through the above technical scheme, this embodiment provides a specific method for the maintenance management module to perform maintenance and management on the cable. Due to the long span of the cable, the environment in different areas has different impacts on the cable. For example, corresponding protective measures are set according to the different soil pH to protect the cable. However, the soil pH in some areas is high, which causes great damage to the cable, while the pH in some areas is low, which causes little damage to the cable. If the same intensity of maintenance is used, it will cause waste of materials in areas with low pH, and insufficient maintenance in areas with high pH, ​​affecting the normal use of the cable. Therefore, this embodiment obtains the number of faults b in each node interval within a year, and at the same time obtains the number of acid rains p in each node interval within a year, the rainfall w in each node interval within a year, and the average temperature in each node interval within a year. T v , through the formula The judgment reference value DD is obtained. From the formula, it can be seen that when the difference between the rainfall in a year and the standard rainfall The larger the difference between the average temperature in a year and the standard average temperature The larger the value is, the more times p of acid rain occurs in a year, or the more times b of failures occur in a year, the more serious the damage to the cable in the node interval is, and the higher the intensity of maintenance for the cable in the node interval is during maintenance. In this way, the environmental data of the node interval and the fault data of the cable in the node interval can be combined for analysis, so as to set maintenance plans of different intensities for cables in different node intervals to ensure the stable operation of the cable and reduce cable damage.

[0082] It should be noted that the elimination parameter A can be obtained based on experimental data, and the standard rainfall w preset by the system xd , the system preset standard average temperature It can be obtained based on the local historical meteorological data, and the maintenance plans of different intensities can be determined according to the size of the judgment benchmark value, and can be carried out according to the control plan prepared in advance, for example, when When When it is determined as the second-level maintenance intensity, and so on, no further description is given here.

[0083] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art 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 concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

Claims

1. A power facility maintenance system based on smart Internet of Things, characterized in that: The system comprises: A node current detection module, which is used to obtain effective current information at each cable node and transmit the effective current information to a comprehensive processing and analysis platform through the Internet of Things technology; A data acquisition module, which is used to obtain associated parameter information on the cable and transmit the associated parameter information to a comprehensive processing and analysis platform through Internet of Things technology, wherein the associated parameter information includes temperature information of the cable and ground resistance information at the cable; An environment collection module, which is used to obtain historical environmental information of the area where each node interval is located from the local meteorological bureau, and transmit the historical environmental information to the maintenance management module through the Internet of Things technology. The historical environmental information includes weather temperature information, rainfall information and acid rain information; A comprehensive processing and analysis platform, which is used to analyze the effective current information obtained at each cable node, obtain the cable fault coefficient of each node interval, and judge whether the cable in each node interval is faulty according to the cable fault coefficient; at the same time, the comprehensive processing and analysis platform also finds the specific location section of the fault node interval according to the obtained associated parameter information, so as to perform corresponding maintenance; A maintenance management module, wherein the maintenance management module performs maintenance management of different intensities on the cables in the corresponding node interval according to the acquired historical environment information and the generated fault information; The method for the comprehensive processing and analysis platform to find out the specific location segment where the fault occurs in the fault node interval according to the acquired associated parameter information is as follows: the cable in the fault node interval is divided into n detection segments, and the temperature change information and ground resistance change information of the cable in each detection segment are obtained; By formula Obtain the risk value of each detection segment G j ; The risk value you will get G j Preset risk thresholds G xd To compare: when When , it is considered that the detection section has a fault; Among them, α1 and α2 are the proportional coefficients preset by the system, and , GT j is the temperature risk value, GR j is the ground resistance risk value, ; The temperature risk value GT j The method of obtaining is: The temperature risk value is calculated by the following formula: GT j ; ； in, T j ( t ) is the j The detection segment t The temperature value at the moment, t 1 is the preset cycle start time point, t x It is the time point for the preset cycle detection; The ground resistance risk value GR j The acquisition method is: in the preset cycle The ground resistance risk value is calculated by the following formula: GR j ; ； in, R j ( t ) is the j The detection segment t The ground resistance value at the moment; The method for the comprehensive processing and analysis platform to perform analysis is: In the current node, the effective current is obtained, so as to formulate the effective current curve of the current node over time. I i ( t ), and obtain the effective current of the next node, so as to formulate the effective current variation curve of the next node over time I i-1 ( t ); By formula The cable fault coefficient K of the node interval is obtained I ; when When , it is determined that the cable in the node section is faulty and is identified as a faulty node section; in, , It is the maximum effective current deviation allowed by the system.

2. According to claim 1, a power facility maintenance system based on smart Internet of Things is characterized in that: The method for the maintenance management module to perform maintenance management is: Get the number of failures b in each node interval within a year, and also get the number of acid rain p in each node interval within a year, the rainfall w in each node interval within a year, and the average temperature in each node interval within a year T v ; By formula Obtain the judgment reference value DD; According to the size of the judgment benchmark value, the cables in the node interval are maintained and managed with different intensities; The larger the judgment reference value of the node interval is, the higher the maintenance intensity of the cable in the node interval is; Among them, A is the elimination parameter, w xd The standard rainfall preset for the system. The standard average temperature preset for the system.

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