A power operation and maintenance management system and operation and maintenance method thereof

Abstract

The present invention relates to the technical field of electric power operation and maintenance management, and is used to solve the problem that the traditional electric power operation and maintenance management mode relies on preset plans and fixed personnel dispatching, and lacks real-time monitoring and evaluation. In particular, an electric power operation and maintenance management system and an operation and maintenance method thereof are disclosed, including a model construction module, an update fusion module, an electric power equipment monitoring and analysis module, a trend determination and analysis module, a management end and a display terminal. The present invention constructs a three-dimensional model of electric power equipment, combines a real-time image update model, thereby monitoring the state of electric power equipment in real time and calculating an evaluation coefficient, providing quantitative indicators of the operating state of electric power equipment for operation and maintenance personnel, being able to promptly discover electric power equipment with abnormal trends, and matching corresponding target operation and maintenance personnel, while verifying the maintenance results. If the continuous verification fails, the equipment will be reported for replacement, thereby realizing comprehensive management of electric power equipment and effectively improving the operation and maintenance efficiency and the reliability of the operation of electric power equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power operation and maintenance management, and in particular to an electric power operation and maintenance management system and an operation and maintenance method thereof. Background Art

[0002] With the rapid development of information and intelligent technology, electricity has become the cornerstone of modern society, supporting all aspects of daily life and industrial production. Stable, safe and efficient power supply plays an indispensable role in ensuring the continuity of economic activities and improving people's quality of life. Therefore, power operation and maintenance management, as the core link to ensure the stable operation of power equipment, is of great importance.

[0003] The traditional power operation and maintenance management model often relies on preset maintenance plans and fixed personnel dispatch, lacks real-time monitoring and evaluation of the actual operating status of power equipment, resulting in a lack of targetedness and effectiveness in operation and maintenance work; in addition, personnel dispatch in the traditional operation and maintenance model is often based on experience or fixed rules, and fails to fully consider the professional skills and actual needs of operation and maintenance personnel, which seriously affects the efficiency and quality of operation and maintenance work. This rigid operation and maintenance model not only cannot meet the needs of power operation and maintenance management in the new era, but also cannot guarantee the long-term stable operation of power equipment and the reliability of power supply. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the traditional power operation and maintenance management mode often relies on preset maintenance plans and fixed personnel dispatch, lacks real-time monitoring and evaluation of the actual operating status of power equipment, resulting in the lack of pertinence and effectiveness of operation and maintenance work, and proposes a power operation and maintenance management system and its operation and maintenance method.

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

[0006] An electric power operation and maintenance management system, comprising:

[0007] Model building module, used to build three-dimensional models of various power equipment in the target area;

[0008] An update fusion module is used to collect pictures of each power device in the target area at each collection time point, thereby obtaining a real-time three-dimensional model of each power device in the target area at each collection time point based on the three-dimensional model of each power device in the target area, and recording it as the target three-dimensional model of each power device in the target area at each collection time point;

[0009] The power equipment monitoring and analysis module is used to monitor the operating status information of each power equipment in the target area to obtain the temperature wave evaluation value, the current wave evaluation value and the voltage wave evaluation value, thereby analyzing and processing the operating status of each power equipment in the target area, obtaining the operating evaluation coefficient of each power equipment in the target area, and sending it to the trend determination and analysis module;

[0010] The trend determination and analysis module is used to receive the operation evaluation coefficients of each power device in the target area, thereby performing determination and analysis on each power device in the target area, obtaining an abnormal trend type signal, and sending it to the management end;

[0011] The management end includes a personnel matching and dispatching analysis unit and a maintenance verification unit. The personnel matching and dispatching analysis unit is used to receive abnormal trend type signals, thereby matching corresponding target operation and maintenance personnel for each abnormal power equipment in the target area. The maintenance verification unit is used to perform maintenance verification analysis on each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel, thereby generating a maintenance verification pass signal or a maintenance verification fail signal. Based on the generated maintenance verification fail signal, it returns to the personnel matching and dispatching analysis unit to perform corresponding target operation and maintenance personnel matching again. If the maintenance verification fail signal is generated again, it is reported to the relevant department for replacement of the power equipment.

[0012] Furthermore, the three-dimensional model of each power equipment in the target area is constructed in the following specific construction process:

[0013] By collecting an image set of each power equipment in the target area and obtaining the geographic data of each power equipment in the target area through GPS, a three-dimensional model of each power equipment in the target area is constructed based on the image set and geographic data of each power equipment in the target area.

[0014] Furthermore, the process of solving the temperature wave evaluation, current wave evaluation and voltage wave evaluation is as follows:

[0015] By obtaining the equipment temperature of each monitoring time point corresponding to each power equipment in the target area within a unit time period, and comparing and analyzing the equipment temperature at each monitoring time point with the set equipment temperature range, if the equipment temperature at a certain monitoring time point is greater than the set equipment temperature range, then the monitoring time point is recorded as the set high temperature point, if the equipment temperature at a certain monitoring time point is less than the set equipment temperature range, then the monitoring time point is recorded as the set low temperature point, and the number of set high temperature points and the number of set low temperature points corresponding to each power equipment in the target area are counted, and the equipment temperature and the number of set low temperature points corresponding to each power equipment in the target area are obtained. The temperature of each set high temperature point corresponding to each power equipment in the target area is subtracted from the stored reference equipment temperature to obtain the difference between the equipment temperature of each set high temperature point corresponding to each power equipment in the target area and the reference equipment temperature, which is recorded as the set temperature difference, thereby obtaining the set temperature difference of each set high temperature point corresponding to each power equipment in the target area; the equipment temperature of each set low temperature point corresponding to each power equipment in the target area is subtracted from the stored reference equipment temperature to obtain the difference between the equipment temperature of each set low temperature point corresponding to each power equipment in the target area and the reference equipment temperature, which is recorded as the set temperature difference, thereby obtaining the set temperature difference of each set low temperature point corresponding to each power equipment in the target area;

[0016] The temperature difference of each set high temperature point corresponding to each power equipment in the target area is summed to obtain the comprehensive temperature difference value of each set high temperature point corresponding to each power equipment in the target area, and it is recorded as zwg b ; Sum the set temperature differences of each low temperature point corresponding to each power equipment in the target area to obtain the comprehensive temperature difference value of each low temperature point corresponding to each power equipment in the target area, and record it as zwd b ; Extract the values ​​of the number of high temperature points and the number of low temperature points corresponding to each power equipment in the target area, and record them as gsz b anddsz b , extract the number of corresponding monitoring time points of each power equipment in the target area and take its value, recorded as jcz b , according to the formula: Get the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , where b represents the serial number of each power device in the target area, and b=1, 2, 3…n, n represents the total number of serial numbers of each power device in the target area, and a1, a2, a3 and a4 represent the set weight factors respectively;

[0017] By obtaining the current harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period, the current harmonic images generated by each power equipment in the target area during normal operation are extracted and used as reference current harmonic images of each power equipment in the target area; the current harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period are overlapped and matched with the corresponding reference current harmonic images to obtain the current harmonic matching images at each monitoring time point corresponding to each power equipment in the target area, and the deviation area, peak deviation difference value and trough deviation difference value are extracted from them and marked as Lpm1 respectively. i b 、Lbf1 i b and Lbg1 i b , and take its value at the same time, according to the formula: Get the current wave evaluation value DLP corresponding to each power equipment in the target area b , where e represents a natural constant, i represents each monitoring time point corresponding to each power equipment in the target area within a unit time period, and i = 1, 2, 3…m, m represents the total number of monitoring time points, and the value is a positive integer, and a5, a6 and a7 represent the set weight factors respectively;

[0018] According to the above method of solving the current wave evaluation value corresponding to each power device in the target area, the voltage wave evaluation value corresponding to each power device in the target area is obtained and recorded as DYP b .

[0019] Furthermore, the operating status of each power device in the target area is analyzed and processed, and the specific analysis process is as follows:

[0020] Extract the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , Current Wave Evaluation DLP b and voltage wave evaluation DYP b The value of is normalized according to the formula: Get the operation evaluation coefficient SBP of each power equipment in the target area b , where λ1, λ2 and λ3 represent the weight coefficients of temperature wave evaluation, current wave evaluation and voltage wave evaluation respectively.

[0021] Furthermore, the determination and analysis of each power equipment in the target area is performed, and the specific analysis process is as follows:

[0022] Extracting the operation evaluation coefficient of each power device in the target area, comparing and analyzing the operation evaluation coefficient of each power device in the target area with a preset operation evaluation threshold, and when the operation evaluation coefficient of each power device in the target area is greater than or equal to the preset operation evaluation threshold, the power device in the target area is determined to be in an abnormal trend state;

[0023] Acquire the power equipment that is determined to be in an abnormal trend state in the target area, obtain each abnormal power equipment in the target area, extract the operation evaluation coefficient corresponding to each abnormal power equipment in the target area, and simultaneously perform difference calculation between the operation evaluation coefficient corresponding to each abnormal power equipment in the target area and a preset operation evaluation threshold value to obtain the abnormal trend value corresponding to each abnormal power equipment in the target area;

[0024] Setting three abnormal trend gradient comparison intervals of abnormal trend values, namely, a first gradient abnormal trend interval, a second gradient abnormal trend interval, and a third gradient abnormal trend interval;

[0025] When the abnormal trend value is in the preset first gradient abnormal trend interval, a class A abnormal trend signal is generated; when the abnormal trend value is in the preset second gradient abnormal trend interval, a class B abnormal trend signal is generated; when the abnormal trend value is in the preset third gradient abnormal trend interval, a class C abnormal trend signal is generated; the abnormal trend type signal is composed of the class A abnormal trend signal, the class B abnormal trend signal and the class C abnormal trend signal.

[0026] Furthermore, the specific matching analysis process of matching the corresponding target operation and maintenance personnel for each abnormal power equipment in the target area is as follows:

[0027] Based on the captured abnormal trend type signal, it is matched with the stored operation and maintenance professional grade table to obtain the operation and maintenance professional grade of each abnormal power equipment in the target area, and then matched with the operation and maintenance personnel corresponding to the operation and maintenance professional grade to obtain the optional operation and maintenance personnel of each abnormal power equipment in the target area, and the working status of the optional operation and maintenance personnel of each abnormal power equipment in the target area is obtained, and the optional operation and maintenance personnel whose working status is idle are selected and recorded as preliminary operation and maintenance personnel, and the length of service, number of maintenance processing times and success rate of abnormal processing of the preliminary operation and maintenance personnel are obtained, and their values ​​are taken, and the operation and maintenance selection value is obtained based on calculation and analysis, and the preliminary operation and maintenance personnel whose operation and maintenance selection value is greater than the preset operation and maintenance selection threshold are marked as final operation and maintenance personnel, and the distance between each abnormal power equipment in the target area and the final operation and maintenance personnel is obtained, and marked as the operation and maintenance distance value, and the final operation and maintenance personnel corresponding to the minimum operation and maintenance distance value between each abnormal power equipment in the target area and the final operation and maintenance personnel are determined as the target operation and maintenance personnel.

[0028] Furthermore, the inspection and verification analysis is performed on each abnormal power equipment in the target area after inspection by the target operation and maintenance personnel. The specific analysis process is as follows:

[0029] Real-time monitoring of the operating status information of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel in the current period, and thereby generating the real-time operation evaluation coefficient SBP of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel b * , specifically, according to the setting model: SBP b * =θ×(WPZ b * +DLP b * +DYP b * ), where WPZ b * , DLP b * and DYP b * It is represented as real-time temperature wave evaluation value, current wave evaluation value and voltage wave evaluation value respectively, and θ is the correction factor coefficient of the data model; the real-time operation evaluation coefficient of each abnormal power equipment in the target area after the target operation and maintenance personnel have been overhauled is compared and matched with the stored real-time trend state determination table, thereby obtaining the real-time trend state level of each abnormal power equipment in the target area after the target operation and maintenance personnel have been overhauled, and the real-time operation evaluation coefficient of each abnormal power equipment in the target area after each target operation and maintenance personnel has been overhauled corresponds to a real-time trend state level, and the real-time operation state level includes a real-time normal trend state level and a real-time abnormal trend state level;

[0030] If the output result of the real-time trend status level is the real-time normal trend status level, a maintenance verification pass signal is generated;

[0031] If the output result of the real-time trend status level is a real-time abnormal trend status level, a maintenance verification failure signal is generated.

[0032] Furthermore, a power operation and maintenance management method comprises the following steps:

[0033] Step 1: Construct a three-dimensional model of each power equipment in the target area;

[0034] Step 2: Collect pictures of each power device in the target area at each collection time point, and obtain a real-time three-dimensional model of each power device in the target area at each collection time point based on the three-dimensional model of each power device in the target area, and record it as the target three-dimensional model of each power device in the target area at each collection time point;

[0035] Step 3: Monitor the operating status information of each power device in the target area to obtain the temperature wave evaluation value, current wave evaluation value and voltage wave evaluation value, thereby analyzing and processing the operating status of each power device in the target area to obtain the operating evaluation coefficient of each power device in the target area;

[0036] Step 4: Based on the operation evaluation coefficient of each power equipment in the target area, the power equipment in the target area is judged and analyzed to obtain an abnormal trend type signal;

[0037] Step 5: Based on the abnormal trend type signal, the abnormal power equipment in the target area is matched with the corresponding target operation and maintenance personnel;

[0038] Step 6: Perform maintenance verification analysis on each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel, thereby generating a maintenance verification pass signal or a maintenance verification fail signal. Based on the generated maintenance verification fail signal, return to the personnel matching and dispatch analysis unit to perform the corresponding target operation and maintenance personnel matching. If the maintenance verification fail signal is generated again, report to the relevant department for power equipment replacement.

[0039] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0040] 1. The present invention, by constructing a three-dimensional model of each power equipment in the target area, can provide an intuitive and three-dimensional perspective so that management personnel and operators can clearly understand the layout of the power equipment, thereby realizing rapid positioning of the equipment, understanding the equipment status, reducing on-site investigation time, and improving operation and maintenance efficiency. At the same time, pictures of each power equipment in the target area are collected in real time, thereby realizing real-time updating of the three-dimensional model, greatly improving the authenticity of the three-dimensional model, and also more clearly understanding the operating conditions of each power equipment in the target area, providing strong real-time data support for the subsequent analysis of the operating status of the power equipment.

[0041] 2. The present invention continuously monitors the operating status of each power equipment in the target area, and generates parameters such as temperature wave evaluation, current wave evaluation and voltage wave evaluation through real-time monitoring and analysis of key indicators such as temperature, current and voltage, and then comprehensively evaluates the operating status of the power equipment to obtain the operating evaluation coefficient, which provides the operation and maintenance personnel with quantitative indicators of the operating status of the power equipment, can intuitively reflect the overall operating status of the power equipment, and is helpful to timely discover the power equipment with abnormal trends, and further conduct in-depth analysis on the power equipment with abnormal trends, obtain the corresponding abnormal trend type signal, and send it to the management On the management side, the management side matches the corresponding target operation and maintenance personnel for the abnormal power equipment in the target area according to the type of abnormal trend, and at the same time verifies and analyzes the power equipment after the target operation and maintenance personnel have been overhauled, so as to generate an overhaul verification pass signal or an overhaul verification fail signal. If an overhaul verification fail signal is generated, the target operation and maintenance personnel will be re-matched for overhaul. If an overhaul verification fail signal is still generated, it will be instructed to report to the relevant departments and recommend the replacement of the power equipment, thereby ensuring the stable operation of the power equipment, which not only improves the operation and maintenance efficiency and reduces the operation and maintenance costs, but also improves the operating safety and stability of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] 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 prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 It is the overall module block diagram of the present invention;

[0044] Figure 2 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0046] like Figure 1As shown, an electric power operation and maintenance management system includes: an electric power operation and maintenance management platform, in which a model building module, an update fusion module, an electric power equipment monitoring and analysis module, a trend determination and analysis module, a management terminal and a display terminal are arranged; wherein the management terminal includes a personnel matching and dispatching analysis unit and a maintenance verification unit;

[0047] The model building module is used to build a three-dimensional model of each power equipment in the target area. The specific construction process is as follows: by collecting an image set of each power equipment in the target area, and obtaining the geographic data of each power equipment in the target area through GPS, and then building a three-dimensional model of each power equipment in the target area according to the image set and geographic data of each power equipment in the target area;

[0048] In a specific embodiment, the present invention can provide an intuitive and three-dimensional perspective by constructing a three-dimensional model of each power equipment in the target area so that managers and operators can clearly understand the layout of the power equipment, thereby quickly locating the equipment position, understanding the equipment status, reducing on-site investigation time, and improving operation and maintenance efficiency;

[0049] An update fusion module is used to collect pictures of each power device in the target area at each collection time point, thereby obtaining a real-time three-dimensional model of each power device in the target area at each collection time point based on the three-dimensional model of each power device in the target area, and recording it as the target three-dimensional model of each power device in the target area at each collection time point;

[0050] It should be noted that monitoring points are arranged around each power equipment in the target area, and high-definition cameras are installed at the monitoring points. The high-definition cameras at the monitoring points collect pictures corresponding to each power equipment in the target area at each collection time point. At the same time, detection points are also arranged on each power equipment in the target area, and detection equipment is installed at the detection points. The detection equipment at the detection points collects relevant information of each power equipment in the target area, and the relevant information includes the operating status information of the power equipment and the personnel status information.

[0051] In a specific embodiment, the present invention collects pictures of each power device in the target area in real time, thereby realizing real-time updating of the three-dimensional model, greatly improving the authenticity of the three-dimensional model, and also providing a clearer understanding of the operation status of each power device in the target area;

[0052] The power equipment monitoring and analysis module is used to monitor the operating status information of each power equipment in the target area, thereby analyzing and processing the operating status of each power equipment in the target area. The specific analysis process is as follows:

[0053] By obtaining the equipment temperature of each monitoring time point corresponding to each power equipment in the target area within a unit time period, and comparing and analyzing the equipment temperature at each monitoring time point with the set equipment temperature range, if the equipment temperature at a certain monitoring time point is greater than the set equipment temperature range, then the monitoring time point is recorded as the set high temperature point, if the equipment temperature at a certain monitoring time point is less than the set equipment temperature range, then the monitoring time point is recorded as the set low temperature point, and the number of set high temperature points and the number of set low temperature points corresponding to each power equipment in the target area are counted, and the equipment temperature and the number of set low temperature points corresponding to each power equipment in the target area are obtained. The temperature of each set high temperature point corresponding to each power equipment in the target area is subtracted from the stored reference equipment temperature to obtain the difference between the equipment temperature of each set high temperature point corresponding to each power equipment in the target area and the reference equipment temperature, which is recorded as the set temperature difference, thereby obtaining the set temperature difference of each set high temperature point corresponding to each power equipment in the target area; the equipment temperature of each set low temperature point corresponding to each power equipment in the target area is subtracted from the stored reference equipment temperature to obtain the difference between the equipment temperature of each set low temperature point corresponding to each power equipment in the target area and the reference equipment temperature, which is recorded as the set temperature difference, thereby obtaining the set temperature difference of each set low temperature point corresponding to each power equipment in the target area;

[0054] The temperature difference of each set high temperature point corresponding to each power equipment in the target area is summed to obtain the comprehensive temperature difference value of each set high temperature point corresponding to each power equipment in the target area, and it is recorded as zwg b ; Sum the set temperature differences of each low temperature point corresponding to each power equipment in the target area to obtain the comprehensive temperature difference value of each low temperature point corresponding to each power equipment in the target area, and record it as zwd b ; Extract the values ​​of the number of high temperature points and the number of low temperature points corresponding to each power equipment in the target area, and record them as gsz b anddsz b , extract the number of corresponding monitoring time points of each power equipment in the target area and take its value, recorded as jcz b , according to the formula: Get the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , where b represents the serial number of each power device in the target area, and b=1, 2, 3…n, n represents the total number of serial numbers of each power device in the target area, and a1, a2, a3 and a4 represent the set weight factors respectively;

[0055] By obtaining the current harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period, the current harmonic images generated by each power equipment in the target area during normal operation are extracted and used as reference current harmonic images of each power equipment in the target area; the current harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period are overlapped and matched with the corresponding reference current harmonic images to obtain the current harmonic matching images at each monitoring time point corresponding to each power equipment in the target area, and the deviation area, peak deviation difference value and trough deviation difference value are extracted from them and marked as Lpm1 respectively. i b 、Lbf1 i b and Lbg1 i b , and take its value at the same time, according to the formula: Get the current wave evaluation value DLP corresponding to each power equipment in the target area b , where e represents a natural constant, i represents each monitoring time point corresponding to each power equipment in the target area within a unit time period, and i = 1, 2, 3…m, m represents the total number of monitoring time points, and the value is a positive integer, and a5, a6 and a7 represent the set weight factors respectively;

[0056] By obtaining the voltage harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period, the voltage harmonic images generated by each power equipment in the target area during normal operation are extracted and used as the reference voltage harmonic images of each power equipment in the target area; the voltage harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period are overlapped and matched with the corresponding reference voltage harmonic images to obtain the voltage harmonic matching images at each monitoring time point corresponding to each power equipment in the target area, and the deviation area, peak deviation difference value and trough deviation difference value are extracted from them and marked as Lpm2 respectively. i b 、Lbf2 i b and Lbg2 i b , and take its value at the same time, according to the formula: Get the voltage wave evaluation value DYP corresponding to each power equipment in the target area b , where a8, a9 and a10 represent the set weight factors respectively;

[0057] Extract the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , Current Wave Evaluation DLP b and voltage wave evaluation DYP b The value of is normalized according to the formula: Get the operation evaluation coefficient SBP of each power equipment in the target area b , where λ1, λ2 and λ3 represent weight coefficients of temperature wave evaluation, current wave evaluation and voltage wave evaluation respectively, and λ1>λ2>λ3. The weight coefficients are used to balance the weights of various data in the formula calculation, thereby promoting the accuracy of the calculation results. The specific weight coefficients are reasonably set by those skilled in the art according to actual conditions.

[0058] The obtained operation evaluation coefficients of each power equipment in the target area are sent to the trend determination and analysis module;

[0059] The trend determination and analysis module is used to receive the operation evaluation coefficients of each power equipment in the target area, and thereby perform determination and analysis on each power equipment in the target area. The specific analysis process is as follows:

[0060] Extracting the operation evaluation coefficient of each electric power equipment in the target area, comparing and analyzing the operation evaluation coefficient of each electric power equipment in the target area with the preset operation evaluation threshold, when the operation evaluation coefficient of each electric power equipment in the target area is greater than or equal to the preset operation evaluation threshold, the electric power equipment in the target area is determined to be in an abnormal trend state, and when the operation evaluation coefficient of each electric power equipment in the target area is less than the preset operation evaluation threshold, the electric power equipment in the target area is determined to be in a normal trend state;

[0061] Acquire the power equipment that is determined to be in an abnormal trend state in the target area, obtain each abnormal power equipment in the target area, extract the operation evaluation coefficient corresponding to each abnormal power equipment in the target area, and simultaneously perform difference calculation between the operation evaluation coefficient corresponding to each abnormal power equipment in the target area and a preset operation evaluation threshold value to obtain the abnormal trend value corresponding to each abnormal power equipment in the target area;

[0062] Three abnormal trend gradient comparison intervals of the abnormal trend value are set, which are the first gradient abnormal trend interval ycqs1, the second gradient abnormal trend interval ycqs2 and the third gradient abnormal trend interval ycqs3, ycqs1=&ycqs2=2&ycqs3, wherein ycqs1>ycqs2>ycqs3, & represents the multiple of the gradient, and the specific value of & is set by those skilled in the art in a specific power operation and maintenance management example;

[0063] When the abnormal trend value is in the preset first gradient abnormal trend interval ycqs1, a Class A abnormal trend signal is generated; when the abnormal trend value is in the preset second gradient abnormal trend interval ycqs2, a Class B abnormal trend signal is generated; when the abnormal trend value is in the preset third gradient abnormal trend interval ycqs3, a Class C abnormal trend signal is generated;

[0064] Sending the generated abnormal trend type signal to the management end, wherein the abnormal trend type signal includes a level A abnormal trend signal, a level B abnormal trend signal and a level C abnormal trend signal;

[0065] The management end includes a personnel matching and dispatching analysis unit and a maintenance verification unit;

[0066] The personnel matching dispatch analysis unit is used to receive abnormal trend type signals, thereby matching the corresponding target operation and maintenance personnel for each abnormal power equipment in the target area. The specific matching analysis is as follows:

[0067] Based on the captured abnormal trend type signal, it is matched with the stored operation and maintenance professional level table to obtain the operation and maintenance professional level of each abnormal power equipment in the target area, wherein the operation and maintenance professional level table refers to a pre-set and stored reference table, which lists in detail the correspondence between different abnormal trend type signals and the professional level required for operation and maintenance personnel, and the professional level includes primary operation and maintenance professional level, intermediate operation and maintenance professional level and senior operation and maintenance professional level. At the same time, it is matched with the operation and maintenance personnel corresponding to the operation and maintenance professional level to obtain the optional operation and maintenance personnel of each abnormal power equipment in the target area, obtain the working status of the optional operation and maintenance personnel of each abnormal power equipment in the target area, select the optional operation and maintenance personnel whose working status is idle and record them as preliminary operation and maintenance personnel, obtain the length of service, maintenance processing times and abnormal processing success rate of the preliminary operation and maintenance personnel, and mark them as gkz, jxz and cgz respectively, and take their values ​​according to the formula: The operation and maintenance selection value CXZ is obtained, where η1, η2 and η3 represent the set weight coefficients respectively, and the preliminary selected operation and maintenance personnel whose operation and maintenance selection value is greater than the preset operation and maintenance selection threshold are marked as the final selected operation and maintenance personnel. At the same time, the distance between each abnormal power equipment in the target area and the final selected operation and maintenance personnel is obtained and marked as the operation and maintenance distance value. The final selected operation and maintenance personnel corresponding to the minimum operation and maintenance distance value between each abnormal power equipment in the target area and the final selected operation and maintenance personnel are determined as the target operation and maintenance personnel, so as to dispatch the target operation and maintenance personnel to perform maintenance within the set time period;

[0068] It should be noted that if multiple abnormal power equipment in the target area are matched to the same target operation and maintenance personnel, priority matching will be performed based on the operation evaluation coefficient of the abnormal power equipment, and the equipment with the largest operation evaluation coefficient will be preferentially selected for matching. For abnormal power equipment that cannot be directly matched to the target operation and maintenance personnel, matching will be performed again based on the minimum operation and maintenance distance value of the remaining final selected operation and maintenance personnel (the operation and maintenance distance value that has been matched will be eliminated) until all abnormal power equipment are matched to the target operation and maintenance personnel;

[0069] The maintenance verification unit is used to perform maintenance verification analysis on each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel. The specific analysis process is as follows:

[0070] Real-time monitoring of the operating status information of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel in the current period, and thereby generating the real-time operation evaluation coefficient SBP of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel b * , specifically, according to the setting model: SBP b * =θ×(WPZ b * +DLP b * +DYP b * ), where WPZ b * , DLP b * and DYP b * It is represented as real-time temperature wave evaluation, current wave evaluation and voltage wave evaluation in sequence, θ is the correction factor coefficient of the data model, and θ is a natural number greater than 0. The correction factor coefficient is used to correct the deviation of various parameters in the data model calculation process, so as to calculate more accurate parameter data;

[0071] The real-time operation evaluation coefficient of each abnormal power equipment in the target area after the target operation and maintenance personnel's maintenance is compared and matched with the stored real-time trend state determination table, thereby obtaining the real-time trend state level of each abnormal power equipment in the target area after the target operation and maintenance personnel's maintenance, and the obtained real-time operation evaluation coefficient of each abnormal power equipment in the target area after the target operation and maintenance personnel's maintenance corresponds to a real-time trend state level, and the real-time operation state level includes a real-time normal trend state level and a real-time abnormal trend state level;

[0072] If the output result of the real-time trend status level is the real-time normal trend status level, a maintenance verification pass signal is generated and displayed through the display terminal;

[0073] If the output result of the real-time trend status level is the real-time abnormal trend status level, a maintenance verification failure signal is generated and returned to the personnel matching and dispatching analysis unit for matching the corresponding target operation and maintenance personnel. If the maintenance verification failure signal is generated again, it is reported to the relevant department for replacement of the power equipment and displayed on the display terminal;

[0074] like Figure 2 As shown, a power operation and maintenance management method includes the following steps:

[0075] Step 1: Construct a 3D model of each power equipment in the target area. The specific construction process is as follows: collect an image set of each power equipment in the target area, obtain the geographic data of each power equipment in the target area through GPS, and then construct a 3D model of each power equipment in the target area based on the image set and geographic data of each power equipment in the target area;

[0076] Step 2: Collect pictures of each power device in the target area at each collection time point, and obtain a real-time three-dimensional model of each power device in the target area at each collection time point based on the three-dimensional model of each power device in the target area, and record it as the target three-dimensional model of each power device in the target area at each collection time point;

[0077] Step 3: Monitor the operating status information of each power equipment in the target area to obtain the temperature wave evaluation value, current wave evaluation value and voltage wave evaluation value, and mark them as WPZ respectively b , DLP b and DYP b , extract the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , Current Wave Evaluation DLP b and voltage wave evaluation DYP b The value of is normalized according to the formula: Get the operation evaluation coefficient SBP of each power equipment in the target area b , where b represents the serial number of each power device in the target area, and b=1, 2, 3…n, n represents the total number of serial numbers of each power device in the target area, and λ1, λ2 and λ3 represent the weight coefficients of temperature wave evaluation, current wave evaluation and voltage wave evaluation respectively;

[0078] Step 4: Based on the operation evaluation coefficient of each power equipment in the target area, the power equipment in the target area is judged and analyzed. The specific analysis process is as follows:

[0079] Extracting the operation evaluation coefficient of each electric power equipment in the target area, comparing and analyzing the operation evaluation coefficient of each electric power equipment in the target area with the preset operation evaluation threshold, when the operation evaluation coefficient of each electric power equipment in the target area is greater than or equal to the preset operation evaluation threshold, the electric power equipment in the target area is determined to be in an abnormal trend state, and when the operation evaluation coefficient of each electric power equipment in the target area is less than the preset operation evaluation threshold, the electric power equipment in the target area is determined to be in a normal trend state;

[0080] Acquire the power equipment that is determined to be in an abnormal trend state in the target area, obtain each abnormal power equipment in the target area, extract the operation evaluation coefficient corresponding to each abnormal power equipment in the target area, and simultaneously perform difference calculation between the operation evaluation coefficient corresponding to each abnormal power equipment in the target area and a preset operation evaluation threshold value to obtain the abnormal trend value corresponding to each abnormal power equipment in the target area;

[0081] Three abnormal trend gradient comparison intervals of the abnormal trend value are set, which are the first gradient abnormal trend interval ycqs1, the second gradient abnormal trend interval ycqs2 and the third gradient abnormal trend interval ycqs3, ycqs1=&ycqs2=2&ycqs3, wherein ycqs1>ycqs2>ycqs3, & represents the multiple of the gradient, and the specific value of & is set by those skilled in the art in a specific power operation and maintenance management example;

[0082] When the abnormal trend value is in the preset first gradient abnormal trend interval ycqs1, a Class A abnormal trend signal is generated; when the abnormal trend value is in the preset second gradient abnormal trend interval ycqs2, a Class B abnormal trend signal is generated; when the abnormal trend value is in the preset third gradient abnormal trend interval ycqs3, a Class C abnormal trend signal is generated;

[0083] The abnormal trend type signal is composed of the A-level abnormal trend signal, the B-level abnormal trend signal and the C-level abnormal trend signal;

[0084] Step 5: Based on the abnormal trend type signal, the abnormal power equipment in the target area is matched with the corresponding target operation and maintenance personnel. The specific matching analysis is as follows:

[0085] Based on the captured abnormal trend type signal, it is matched with the stored operation and maintenance occupational level table to obtain the operation and maintenance occupational level of each abnormal power equipment in the target area, and then matched with the operation and maintenance personnel corresponding to the operation and maintenance occupational level to obtain the optional operation and maintenance personnel of each abnormal power equipment in the target area, and the working status of the optional operation and maintenance personnel of each abnormal power equipment in the target area is obtained. The optional operation and maintenance personnel whose working status is idle are selected and recorded as the preliminary operation and maintenance personnel, and the length of service, maintenance processing times and abnormal processing success rate of the preliminary operation and maintenance personnel are obtained, and they are marked as gkz, jxz and cgz respectively, and their values ​​are taken according to the formula: The operation and maintenance selection value CXZ is obtained, where η1, η2 and η3 represent the set weight coefficients respectively, and the preliminary selected operation and maintenance personnel whose operation and maintenance selection value is greater than the preset operation and maintenance selection threshold are marked as the final selected operation and maintenance personnel. At the same time, the distance between each abnormal power equipment in the target area and the final selected operation and maintenance personnel is obtained and marked as the operation and maintenance distance value. The final selected operation and maintenance personnel corresponding to the minimum operation and maintenance distance value between each abnormal power equipment in the target area and the final selected operation and maintenance personnel are determined as the target operation and maintenance personnel, so as to dispatch the target operation and maintenance personnel to perform maintenance within the set time period;

[0086] Step 6: Perform maintenance verification analysis on each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel. The specific analysis process is as follows:

[0087] Real-time monitoring of the operating status information of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel in the current period, and thereby generating the real-time operation evaluation coefficient SBP of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel b * , specifically, according to the setting model: SBP b * =θ×(WPZ b * +DLP b * +DYP b * ), where WPZ b * , DLP b * and DYP b * It is represented as real-time temperature wave evaluation, current wave evaluation and voltage wave evaluation in sequence, θ is the correction factor coefficient of the data model, and θ is a natural number greater than 0. The correction factor coefficient is used to correct the deviation of various parameters in the data model calculation process, so as to calculate more accurate parameter data;

[0088] The real-time operation evaluation coefficient of each abnormal power equipment in the target area after the target operation and maintenance personnel's maintenance is compared and matched with the stored real-time trend state determination table, thereby obtaining the real-time trend state level of each abnormal power equipment in the target area after the target operation and maintenance personnel's maintenance, and the obtained real-time operation evaluation coefficient of each abnormal power equipment in the target area after the target operation and maintenance personnel's maintenance corresponds to a real-time trend state level, and the real-time operation state level includes a real-time normal trend state level and a real-time abnormal trend state level;

[0089] If the output result of the real-time trend status level is the real-time normal trend status level, a maintenance verification pass signal is generated and displayed through the display terminal;

[0090] If the output result of the real-time trend status level is the real-time abnormal trend status level, a maintenance verification failure signal is generated, and step five is executed to match the corresponding target operation and maintenance personnel. If the maintenance verification failure signal is generated again, it is reported to the relevant department for replacement of the power equipment, and the display terminal is used to display the instructions.

[0091] 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. A power operation and maintenance management system, characterized in that: include: Model building module, used to build three-dimensional models of various power equipment in the target area; An update fusion module is used to collect pictures of each power device in the target area at each collection time point, thereby obtaining a real-time three-dimensional model of each power device in the target area at each collection time point based on the three-dimensional model of each power device in the target area, and recording it as the target three-dimensional model of each power device in the target area at each collection time point; The power equipment monitoring and analysis module combines the target three-dimensional model and the detection points arranged for each power equipment in the target area to monitor the operating status information of each power equipment in the target area to obtain the temperature wave evaluation value, the current wave evaluation value and the voltage wave evaluation value, thereby analyzing and processing the operating status of each power equipment in the target area, obtaining the operating evaluation coefficient of each power equipment in the target area, and sending it to the trend determination and analysis module; The solution process for temperature wave evaluation, current wave evaluation and voltage wave evaluation is as follows: By obtaining the equipment temperature of each monitoring time point corresponding to each power equipment in the target area within a unit time period, and comparing and analyzing the equipment temperature at each monitoring time point with the set equipment temperature range, if the equipment temperature at a certain monitoring time point is greater than the set equipment temperature range, then the monitoring time point is recorded as the set high temperature point, if the equipment temperature at a certain monitoring time point is less than the set equipment temperature range, then the monitoring time point is recorded as the set low temperature point, and the number of set high temperature points and the number of set low temperature points corresponding to each power equipment in the target area are counted, and the equipment temperature and the number of set low temperature points corresponding to each power equipment in the target area are obtained. The temperature of each set high temperature point corresponding to each power equipment in the target area is subtracted from the stored reference equipment temperature to obtain the difference between the equipment temperature of each set high temperature point corresponding to each power equipment in the target area and the reference equipment temperature, which is recorded as the set temperature difference, thereby obtaining the set temperature difference of each set high temperature point corresponding to each power equipment in the target area; the equipment temperature of each set low temperature point corresponding to each power equipment in the target area is subtracted from the stored reference equipment temperature to obtain the difference between the equipment temperature of each set low temperature point corresponding to each power equipment in the target area and the reference equipment temperature, which is recorded as the set temperature difference, thereby obtaining the set temperature difference of each set low temperature point corresponding to each power equipment in the target area; The temperature difference of each set high temperature point corresponding to each power equipment in the target area is summed to obtain the comprehensive temperature difference value of each set high temperature point corresponding to each power equipment in the target area, and it is recorded as zwg b ; Sum the set temperature differences of each low temperature point corresponding to each power equipment in the target area to obtain the comprehensive temperature difference value of each low temperature point corresponding to each power equipment in the target area, and record it as zwd b ; Extract the values ​​of the number of high temperature points and the number of low temperature points corresponding to each power equipment in the target area, and record them as gsz b anddsz b , extract the number of corresponding monitoring time points of each power equipment in the target area and take its value, recorded as jcz b , according to the formula: , and obtain the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , where b represents the serial number of each power device in the target area, and b=1, 2, 3…n, n represents the total number of serial numbers of each power device in the target area, and a1, a2, a3 and a4 represent the set weight factors respectively; By obtaining the current harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period, the current harmonic images generated by each power equipment in the target area during normal operation are extracted and used as reference current harmonic images of each power equipment in the target area; the current harmonic images at each monitoring time point corresponding to each power equipment in the target area within a unit time period are overlapped and matched with the corresponding reference current harmonic images to obtain the current harmonic matching images at each monitoring time point corresponding to each power equipment in the target area, and the deviation area, peak deviation difference value and trough deviation difference value are extracted from them and marked as Lpm1 respectively. i b 、Lbf1 i b and Lbg1 i b , and take its value at the same time, according to the formula: , get the current wave evaluation value DLP corresponding to each power equipment in the target area b , where e represents a natural constant, i represents each monitoring time point corresponding to each power equipment in the target area within a unit time period, and i=1, 2, 3…m, m represents the total number of monitoring time points, and takes a positive integer, and a5, a6 and a7 represent the set weight factors respectively; According to the above method of solving the current wave evaluation value corresponding to each power device in the target area, the voltage wave evaluation value corresponding to each power device in the target area is obtained and recorded as DYP b ; The trend determination and analysis module is used to receive the operation evaluation coefficients of each power device in the target area, thereby performing determination and analysis on each power device in the target area, obtaining an abnormal trend type signal, and sending it to the management end; The management end includes a personnel matching and dispatching analysis unit and a maintenance verification unit. The personnel matching and dispatching analysis unit is used to receive abnormal trend type signals, thereby matching corresponding target operation and maintenance personnel for each abnormal power equipment in the target area. The maintenance verification unit is used to perform maintenance verification analysis on each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel, thereby generating a maintenance verification pass signal or a maintenance verification fail signal. Based on the generated maintenance verification fail signal, it returns to the personnel matching and dispatching analysis unit to perform corresponding target operation and maintenance personnel matching. If the maintenance verification fail signal is generated again, it is reported to the relevant department for replacement of the power equipment.

2. A power operation and maintenance management system according to claim 1, characterized in that: The specific construction process of constructing the three-dimensional model of each power equipment in the target area is as follows: By collecting an image set of each power equipment in the target area and obtaining the geographic data of each power equipment in the target area through GPS, a three-dimensional model of each power equipment in the target area is constructed based on the image set and geographic data of each power equipment in the target area.

3. The power operation and maintenance management system according to claim 1, characterized in that: The operating status of each power equipment in the target area is analyzed and processed, and the specific analysis process is as follows: Extract the temperature wave evaluation value WPZ corresponding to each power equipment in the target area b , Current Wave Evaluation DLP b and voltage wave evaluation DYP b The value of is normalized according to the formula: , and obtain the operation evaluation coefficient SBP of each power equipment in the target area b , where λ1, λ2 and λ3 represent the weight coefficients of temperature wave evaluation, current wave evaluation and voltage wave evaluation respectively.

4. The power operation and maintenance management system according to claim 1, characterized in that: The specific analysis process of judging and analyzing each power equipment in the target area is as follows: Extracting the operation evaluation coefficient of each power device in the target area, comparing and analyzing the operation evaluation coefficient of each power device in the target area with a preset operation evaluation threshold, and when the operation evaluation coefficient of each power device in the target area is greater than or equal to the preset operation evaluation threshold, the power device in the target area is determined to be in an abnormal trend state; Acquire the power equipment that is determined to be in an abnormal trend state in the target area, obtain each abnormal power equipment in the target area, extract the operation evaluation coefficient corresponding to each abnormal power equipment in the target area, and simultaneously perform difference calculation between the operation evaluation coefficient corresponding to each abnormal power equipment in the target area and a preset operation evaluation threshold value to obtain the abnormal trend value corresponding to each abnormal power equipment in the target area; Setting three abnormal trend gradient comparison intervals of abnormal trend values, namely, a first gradient abnormal trend interval, a second gradient abnormal trend interval, and a third gradient abnormal trend interval; When the abnormal trend value is in the preset first gradient abnormal trend interval, a Class A abnormal trend signal is generated; when the abnormal trend value is in the preset second gradient abnormal trend interval, a Class B abnormal trend signal is generated; when the abnormal trend value is in the preset third gradient abnormal trend interval, a Class C abnormal trend signal is generated; The abnormal trend type signal is composed of the A-level abnormal trend signal, the B-level abnormal trend signal and the C-level abnormal trend signal.

5. The power operation and maintenance management system according to claim 1, characterized in that: The specific matching analysis process of matching the corresponding target operation and maintenance personnel for each abnormal power equipment in the target area is as follows: Based on the captured abnormal trend type signal, it is matched with the stored operation and maintenance professional grade table to obtain the operation and maintenance professional grade of each abnormal power equipment in the target area, and then matched with the operation and maintenance personnel corresponding to the operation and maintenance professional grade to obtain the optional operation and maintenance personnel of each abnormal power equipment in the target area, and the working status of the optional operation and maintenance personnel of each abnormal power equipment in the target area is obtained, and the optional operation and maintenance personnel whose working status is idle are selected and recorded as preliminary operation and maintenance personnel, and the length of service, number of maintenance processing times and success rate of abnormal processing of the preliminary operation and maintenance personnel are obtained, and their values ​​are taken, and the operation and maintenance selection value is obtained based on calculation and analysis, and the preliminary operation and maintenance personnel whose operation and maintenance selection value is greater than the preset operation and maintenance selection threshold are marked as final operation and maintenance personnel, and the distance between each abnormal power equipment in the target area and the final operation and maintenance personnel is obtained, and marked as the operation and maintenance distance value, and the final operation and maintenance personnel corresponding to the minimum operation and maintenance distance value between each abnormal power equipment in the target area and the final operation and maintenance personnel are determined as the target operation and maintenance personnel.

6. The power operation and maintenance management system according to claim 1, characterized in that: The above-mentioned inspection and verification analysis is performed on each abnormal power equipment in the target area after inspection by the target operation and maintenance personnel. The specific analysis process is as follows: Real-time monitoring of the operating status information of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel in the current period, and thereby generating the real-time operation evaluation coefficient SBP of each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel b * , specifically, according to the setting model: , among which WPZ b * , DLP b * and DYP b * It is represented as real-time temperature wave evaluation value, current wave evaluation value and voltage wave evaluation value respectively, and θ is the correction factor coefficient of the data model; the real-time operation evaluation coefficient of each abnormal power equipment in the target area after the target operation and maintenance personnel have been overhauled is compared and matched with the stored real-time trend state determination table, thereby obtaining the real-time trend state level of each abnormal power equipment in the target area after the target operation and maintenance personnel have been overhauled, and the real-time operation evaluation coefficient of each abnormal power equipment in the target area after each target operation and maintenance personnel has been overhauled corresponds to a real-time trend state level, and the real-time operation state level includes a real-time normal trend state level and a real-time abnormal trend state level; If the output result of the real-time trend status level is the real-time normal trend status level, a maintenance verification pass signal is generated; If the output result of the real-time trend status level is a real-time abnormal trend status level, a maintenance verification failure signal is generated.

7. A power operation and maintenance management method, applied to the power operation and maintenance management system according to claim 1, characterized in that: The following steps are involved: Step 1: Construct a three-dimensional model of each power equipment in the target area; Step 2: Collect pictures of each power device in the target area at each collection time point, and obtain a real-time three-dimensional model of each power device in the target area at each collection time point based on the three-dimensional model of each power device in the target area, and record it as the target three-dimensional model of each power device in the target area at each collection time point; Step 3: Monitor the operating status information of each power device in the target area to obtain the temperature wave evaluation value, current wave evaluation value and voltage wave evaluation value, thereby analyzing and processing the operating status of each power device in the target area to obtain the operating evaluation coefficient of each power device in the target area; Step 4: Based on the operation evaluation coefficient of each power equipment in the target area, the power equipment in the target area is judged and analyzed to obtain an abnormal trend type signal; Step 5: Based on the abnormal trend type signal, the abnormal power equipment in the target area is matched with the corresponding target operation and maintenance personnel; Step 6: Perform maintenance verification analysis on each abnormal power equipment in the target area after maintenance by the target operation and maintenance personnel, thereby generating a maintenance verification pass signal or a maintenance verification fail signal. Based on the generated maintenance verification fail signal, return to the personnel matching and dispatch analysis unit to perform the corresponding target operation and maintenance personnel matching. If the maintenance verification fail signal is generated again, report to the relevant department for power equipment replacement.

Images