A substation monitoring method and system

Abstract

The present invention discloses a substation monitoring method and system, relating to the technical field of substation monitoring. Each operating device in the substation is monitored according to its inspection cycle to obtain the monitoring data of each operating device. The monitoring data of each device is classified and calibrated respectively to obtain the evaluation data of each operating device. The evaluation data and monitoring data of each operating device are dynamically evaluated respectively to generate the dynamic evaluation value of each operating device. The inspection cycle of each operating device is adjusted according to each dynamic evaluation value, and the step of monitoring each operating device according to the inspection cycle of each operating device in the substation is jumped to execute, so as to solve the technical problem that in the prior art, the substation is mainly monitored by inspection robots, but due to the failure of the inspection robots to classify and stratify the inspection targets, there are problems of over-inspection or under-inspection, reducing the safety of substation operation.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and particularly to a substation monitoring method and system. Background Art

[0002] In today's society, the demand for electricity continues to grow. As a key node in the power system, the safe and stable operation of substations is of utmost importance. However, the traditional substation monitoring method mainly relies on manual inspections, which has many drawbacks. With the continuous expansion of the power grid scale and the increasing complexity of power equipment, the workload of manual inspections is huge, making it difficult to monitor all aspects of substations in real-time and comprehensively. Moreover, inspection personnel may miss some potential problems due to fatigue, negligence, etc., resulting in safety hazards not being discovered and handled in a timely manner. Therefore, in order to improve the safety of substations, there is an urgent need for an intelligent substation monitoring method.

[0003] Currently, the prior art mainly monitors substations through inspection robots. However, since the inspection robots fail to classify the inspection targets hierarchically, there are problems of over-inspection or under-inspection, reducing the safety of substation operation. Summary of the Invention

[0004] The present invention provides a substation monitoring method and system, which solves the technical problem that the prior art mainly monitors substations through inspection robots, but due to the failure of the inspection robots to classify the inspection targets hierarchically, there are problems of over-inspection or under-inspection, reducing the safety of substation operation.

[0005] A substation monitoring method provided by the first aspect of the present invention includes:

[0006] Monitoring each of the operating devices according to the inspection cycle of each operating device in the substation to obtain the monitoring data of each operating device;

[0007] Classifying and calibrating each of the monitoring data respectively to obtain the evaluation data of each operating device;

[0008] Dynamically evaluating the evaluation data and the monitoring data of each operating device respectively to generate the dynamic evaluation value of each operating device;

[0009] Adjusting the inspection cycle of each operating device according to each of the dynamic evaluation values, and jumping to execute the step of monitoring each of the operating devices according to the inspection cycle of each operating device in the substation.

[0010] Optionally, the step of classifying and calibrating each of the monitoring data respectively to obtain the evaluation data of each operating device includes:

[0011] Generate corresponding first target keys respectively using the voltage levels and device types of each of the said monitoring data;

[0012] Retrieve a preset list of importance coefficient key-value pairs respectively using each of the said first target keys, and match the importance coefficients corresponding to each of the said first target keys;

[0013] Conduct health assessments respectively based on the voltage levels, device rust areas, and device surface areas of each of the said monitoring data, and obtain the health coefficients of each of the said operating devices;

[0014] Use the importance coefficients and health coefficients corresponding to each of the said operating devices respectively as the evaluation data of each of the said operating devices.

[0015] Optionally, the step of conducting health assessments respectively based on the voltage levels, device rust areas, and device surface areas of each of the said monitoring data, and obtaining the health coefficients of each of the said operating devices includes:

[0016] Conduct ratio processing on the device rust areas and device surface areas of each of the said monitoring data respectively to obtain multiple rust levels;

[0017] Generate corresponding second target keys respectively using the rust levels and voltage levels associated with each of the said operating devices;

[0018] Retrieve a preset list of health coefficient key-value pairs respectively using each of the said second target keys, and match the health coefficients of each of the said operating devices.

[0019] Optionally, the monitoring data includes the device maximum temperature, outdoor temperature, and outdoor wind speed. The step of conducting dynamic evaluations on the evaluation data and the monitoring data of each of the said operating devices respectively to generate dynamic evaluation values of each of the said operating devices includes:

[0020] Conduct square root operations on each of the said outdoor wind speeds respectively to obtain multiple first square root values;

[0021] Conduct multiplication processing on each of the said first square root values and a preset evaluation coefficient respectively to obtain multiple first multiplication values;

[0022] Conduct difference processing on each of the said outdoor temperatures and the corresponding first multiplication values respectively to obtain multiple first differences;

[0023] Conduct ratio processing on each of the said device maximum temperatures and the corresponding first differences respectively to obtain multiple first ratios;

[0024] Conduct multiplication processing on each of the said first ratios and the corresponding importance coefficients respectively to obtain multiple second multiplication values;

[0025] Sum each of the second multiplication values with the corresponding health coefficient to obtain the dynamic evaluation value of each operating device.

[0026] Optionally, the step of adjusting the inspection cycle of each operating device according to each dynamic evaluation value includes:

[0027] Judge whether each dynamic evaluation value is less than a preset first adjustment threshold respectively;

[0028] If the dynamic evaluation value is less than the first adjustment threshold, use the preset first adjustment cycle as the inspection cycle of the operating device associated with the dynamic evaluation value;

[0029] If the dynamic evaluation value is greater than or equal to the first adjustment threshold, judge whether the dynamic evaluation value is less than a preset second adjustment threshold;

[0030] If the dynamic evaluation value is less than the second adjustment threshold, use the preset second adjustment cycle as the inspection cycle of the operating device associated with the dynamic evaluation value;

[0031] If the dynamic evaluation value is greater than or equal to the second adjustment threshold, judge whether the dynamic evaluation value is less than a preset third adjustment threshold;

[0032] If the dynamic evaluation value is less than the third adjustment threshold, use the third adjustment cycle as the inspection cycle of the operating device associated with the dynamic evaluation value;

[0033] If the dynamic evaluation value is greater than or equal to the third adjustment threshold, use the fourth adjustment cycle as the inspection cycle of the operating device associated with the dynamic evaluation value.

[0034] Optionally, the device types include disconnectors, switches, earthing switches, voltage transformers, current transformers, lightning arresters and frameworks.

[0035] Optionally, it further includes:

[0036] Judge whether each dynamic evaluation value is greater than or equal to a preset warning threshold respectively;

[0037] When the dynamic evaluation value is less than the warning threshold, no warning is broadcast for the operating device associated with the dynamic evaluation value;

[0038] When the dynamic evaluation value is greater than or equal to the warning threshold, a warning is broadcast for the operating device associated with the dynamic evaluation value.

[0039] A substation monitoring system provided in the second aspect of the present invention includes:

[0040] The acquisition module is used to monitor each of the operating devices according to the inspection cycle of each operating device in the substation, and obtain the monitoring data of each of the operating devices;

[0041] The calibration module is used to classify and calibrate each of the monitoring data respectively to obtain the evaluation data of each of the operating devices;

[0042] The evaluation module is used to dynamically evaluate the evaluation data and the monitoring data of each of the operating devices respectively, and generate the dynamic evaluation value of each of the operating devices;

[0043] The adjustment module is used to adjust the inspection cycle of each of the operating devices according to each of the dynamic evaluation values, and jump to execute the step of monitoring each of the operating devices according to the inspection cycle of each operating device in the substation.

[0044] An electronic device provided in the third aspect of the present invention includes a memory and a processor. When the computer program stored in the memory is executed by the processor, the processor executes the steps of the substation monitoring method as described in any one of the above.

[0045] A computer-readable storage medium provided in the fourth aspect of the present invention stores a computer program thereon, and when the computer program is executed, it implements the substation monitoring method as described in any one of the above.

[0046] As can be seen from the above technical solutions, the present invention has the following advantages:

[0047] By classifying and calibrating each of the monitoring data respectively to obtain the evaluation data of each operating device, and then dynamically evaluating the evaluation data and the monitoring data of each operating device respectively to generate the dynamic evaluation value of each operating device, the inspection cycle of each operating device is adjusted according to the dynamic evaluation value of each operating device, overcoming the problem that the prior art mainly monitors the substation through inspection robots, but due to the failure of the inspection robots to classify and stratify the inspection targets, there are problems of over-inspection or under-inspection. Compared with the traditional monitoring method, the present invention adjusts the inspection cycle of each operating device through the dynamic evaluation value of each operating device, thereby realizing the reasonable allocation of inspection resources, avoiding the problems of over-inspection or under-inspection, and improving the safety of substation operation. Description of the Drawings

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0049] Figure 1 It is a flowchart of the steps of a substation monitoring method provided in Embodiment 1 of the present invention;

[0050] Figure 2 It is a flowchart of the steps of a substation monitoring method provided in Embodiment 2 of the present invention;

[0051] Figure 3 It is a corresponding diagram of dynamic evaluation scores provided in Embodiment 2 of the present invention;

[0052] Figure 4 It is a structural block diagram of a substation monitoring system provided in Embodiment 3 of the present invention;

[0053] Figure 5 It is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention. Detailed implementation manners

[0054] The embodiments of the present invention provide a substation monitoring method and system, which are used to solve the technical problem that in the prior art, the substation is mainly monitored by inspection robots, but due to the failure of the inspection robots to classify and stratify the inspection targets, there are problems of over-inspection or under-inspection, reducing the safety of substation operation.

[0055] To make the invention purpose, features, and advantages of the present invention more obvious and understandable, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the embodiments described below are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] Please refer to Figure 1 , Figure 1 It is a flowchart of the steps of a substation monitoring method provided in Embodiment 1 of the present invention.

[0057] A substation monitoring method provided by the present invention includes:

[0058] Step 101: Monitor each operating device in the substation according to the inspection cycle of each operating device to obtain the monitoring data of each operating device;

[0059] It should be noted that the monitoring data includes voltage level, equipment type, equipment rust area, equipment surface area, equipment maximum temperature, outdoor temperature, and outdoor wind speed.

[0060] In the embodiment of the present invention, based on the inspection cycles of each operating device in the substation, the inspection robot is used to obtain the monitoring data of each operating device.

[0061] Step 102: Classify and calibrate each monitoring data respectively to obtain the evaluation data of each operating device;

[0062] In the embodiment of the present invention, the voltage level and equipment type of each operating device are respectively used as the first target keys, and each first target key is respectively input into the preset list of key-value pairs of importance coefficients to match the corresponding importance coefficients of each operating device. The ratio between the equipment rust area and the equipment surface area of each operating device is calculated respectively to obtain a plurality of first ratios. The first ratios and voltage levels of each operating device are respectively used as the second target keys, and each second target key is respectively input into the preset list of key-value pairs of health coefficients to match the corresponding health coefficients of each operating device. The importance coefficients and health coefficients of each operating device are used as the evaluation data of each operating device.

[0063] Step 103: Dynamically evaluate the evaluation data and monitoring data of each operating device respectively to generate the dynamic evaluation value of each operating device;

[0064] In the embodiment of the present invention, the evaluation data and monitoring data of each operating device are respectively input into the preset dynamic evaluation function to obtain the dynamic evaluation value of each operating device.

[0065] It should be noted that the dynamic evaluation function is specifically:

[0066]

[0067] Among them, is the dynamic evaluation value, is the equipment maximum temperature, is the outdoor temperature, is the outdoor wind speed, is the importance coefficient, is the health coefficient.

[0068] Step 104: Adjust the inspection cycles of each operating device according to each dynamic evaluation value, and jump to execute the step of monitoring each operating device according to the inspection cycles of each operating device in the substation.

[0069] In the embodiment of the present invention, each dynamic evaluation value is respectively input into a preset periodic database to obtain a target period corresponding to each operating device, and the inspection period of each operating device is updated by using each target period, and then step 101 is jumped to for execution.

[0070] In the embodiment of the present invention, by respectively classifying and calibrating each monitoring data, evaluation data of each operating device is obtained, and then the evaluation data and monitoring data of each operating device are respectively dynamically evaluated to generate a dynamic evaluation value of each operating device. Thus, the inspection period of each operating device is adjusted according to the dynamic evaluation value of each operating device, overcoming the problem that the prior art mainly monitors a substation through an inspection robot, but due to the failure of the inspection robot to classify the inspection targets hierarchically, there is a problem of over-inspection or under-inspection. Compared with the traditional monitoring method, in the present invention, the inspection period of each operating device is adjusted through the dynamic evaluation value of each operating device, thereby realizing the reasonable allocation of inspection resources, avoiding the problems of over-inspection or under-inspection, and improving the safety of substation operation.

[0071] Please refer to Figure 2 , Figure 2 which is a step flowchart of a substation monitoring method provided in Embodiment II of the present invention.

[0072] A substation monitoring method provided by the present invention includes:

[0073] Step 201: Monitor each operating device in the substation according to the inspection period of each operating device in the substation to obtain the monitoring data of each operating device;

[0074] In the embodiment of the present invention, the inspection robot monitors each operating device according to the inspection period of each operating device in the substation to obtain the monitoring data of each operating device.

[0075] It is worth mentioning that the monitoring process of the inspection robot for each operating device is specifically as follows: The voltage level, device type, outdoor temperature, outdoor wind speed, infrared image and surface image of the operating device are obtained through the inspection robot. The infrared image is input into a pre-trained temperature detection model to obtain the highest temperature of the device, and the surface image is input into a pre-trained surface detection model to obtain the rust area and surface area of the device. The temperature detection model and the surface detection model can be traditional machine learning models (for example, Haar feature + Adaboost cascade classifier, HOG + SVM) or deep learning-based models (for example, R-CNN or YOLO model).

[0076] Step 202: Generate corresponding first target keys by using the voltage level and device type of each monitoring data respectively;

[0077] In the embodiments of the present invention, the voltage levels and device types of the respective monitoring data are used as the first target keys for the respective operating devices.

[0078] It should be noted that the device types include disconnect switches, switches, earthing switches, voltage transformers, current transformers, lightning arresters, and frameworks.

[0079] Step 203: Retrieve the preset list of importance coefficient key-value pairs using each of the first target keys, and match the importance coefficients corresponding to the respective first target keys;

[0080] In the embodiments of the present invention, each of the first target keys is input into the preset list of importance coefficient key-value pairs to match the importance coefficients corresponding to the respective first target keys.

[0081] It should be noted that, as shown in Table 1, in the list of importance coefficient key-value pairs, A1 = (disconnect switches and earthing switches), A2 = (switches), A3 = (current transformers and voltage transformers), A4 = (lightning arresters), A5 = (frameworks).

[0082] Table 1

[0083]

[0084] Step 204: Perform a health assessment based on the voltage level, device rust area, and device surface area of each monitoring data to obtain the health coefficients of the respective operating devices;

[0085] Further, Step 204 includes the following sub-steps:

[0086] S11: Process the ratio of the device rust area and the device surface area of each monitoring data respectively to obtain a plurality of rust levels;

[0087] In the embodiments of the present invention, calculate the ratio between the device rust area and the device surface area in each monitoring data respectively to obtain a plurality of rust levels.

[0088] S12: Generate corresponding second target keys using the rust levels associated with each operating device and the voltage level respectively;

[0089] In the embodiments of the present invention, the rust levels associated with each operating device and the voltage level are used as the second target keys respectively.

[0090] S13: Retrieve the preset list of health coefficient key-value pairs using each of the second target keys, and match the health coefficients of the respective operating devices.

[0091] In the embodiments of the present invention, each of the second target keys is input into the preset list of health coefficient key-value pairs to match the health coefficients of the respective operating devices.

[0092] It should be noted that, as shown in Table 2, in the list of health coefficient key-value pairs, the rust degree values in the range of [100%, 80%) are determined as rust scrapping (i.e., B1), the rust degree values in the range of [80%, 50%) are determined as severe rust (i.e., B2), the rust degree values in the range of [50%, 20%) are determined as moderate rust (i.e., B3), the rust degree values in the range of [20%, 10%) are determined as mild rust (i.e., B4), and the rust degree values in the range of [10%, 0%] are determined as trace rust (i.e., B5).

[0093] Table 2

[0094]

[0095] Step 205: Respectively use the importance coefficient and health coefficient corresponding to each operating device as the evaluation data for each operating device.

[0096] In the embodiment of the present invention, the importance coefficient and health coefficient corresponding to each operating device are respectively used as the evaluation data.

[0097] Step 206: Dynamically evaluate the evaluation data and monitoring data of each operating device respectively to generate the dynamic evaluation value of each operating device;

[0098] Furthermore, the monitoring data includes the highest temperature of the device, the outdoor temperature, and the outdoor wind speed. Step 206 includes the following sub-steps:

[0099] S21: Respectively perform a square root operation on each outdoor wind speed to obtain a plurality of first square root values;

[0100] In the embodiment of the present invention, the square root values of each outdoor wind speed are respectively calculated to obtain a plurality of first square root values.

[0101] S22: Respectively perform a multiplication process on each first square root value and a preset evaluation coefficient to obtain a plurality of first multiplication values;

[0102] In the embodiment of the present invention, the multiplication between each first square root value and a preset evaluation coefficient (with a value of 2) is respectively calculated.

[0103] S23: Respectively perform a difference process on each outdoor temperature and the corresponding first multiplication value to obtain a plurality of first difference values;

[0104] In the embodiment of the present invention, the difference between each outdoor temperature and the corresponding first multiplication value is respectively calculated to obtain a plurality of first difference values.

[0105] S24: Respectively perform a ratio process on each highest temperature of the device and the corresponding first difference value to obtain a plurality of first ratio values;

[0106] In an embodiment of the present invention, the ratios between the highest temperatures of respective devices and the corresponding first differences are calculated respectively to obtain a plurality of first ratios.

[0107] S25. The respective first ratios are multiplied by the corresponding importance coefficients respectively to obtain a plurality of second products.

[0108] In an embodiment of the present invention, the products between the respective first ratios and the corresponding importance coefficients are calculated respectively to obtain a plurality of second products.

[0109] S26. The respective second products are summed with the corresponding health coefficients respectively to obtain the dynamic evaluation values of respective operating devices.

[0110] In an embodiment of the present invention, the sums between the respective second products and the corresponding health coefficients are calculated respectively to obtain the dynamic evaluation values of respective operating devices.

[0111] Step 207. Adjust the inspection periods of respective operating devices according to the respective dynamic evaluation values, and jump to execute the step of monitoring respective operating devices according to the inspection periods of respective operating devices in the substation.

[0112] Further, step 207 includes the following sub-steps:

[0113] S31. Determine whether respective dynamic evaluation values are less than a preset first adjustment threshold respectively.

[0114] In an embodiment of the present invention, determine whether respective dynamic evaluation values are less than 20 respectively.

[0115] S32. If a dynamic evaluation value is less than the first adjustment threshold, use the preset first adjustment period as the inspection period of the operating device associated with the dynamic evaluation value.

[0116] In an embodiment of the present invention, if a dynamic evaluation value is less than 20, use once per month as the inspection period of the operating device associated with the dynamic evaluation value.

[0117] S33. If a dynamic evaluation value is greater than or equal to the first adjustment threshold, determine whether the dynamic evaluation value is less than a preset second adjustment threshold.

[0118] In an embodiment of the present invention, if a dynamic evaluation value is greater than or equal to 20, determine whether the dynamic evaluation value is 50.

[0119] S34. If a dynamic evaluation value is less than the second adjustment threshold, use the preset second adjustment period as the inspection period of the operating device associated with the dynamic evaluation value.

[0120] In an embodiment of the present invention, if a dynamic evaluation value is less than 50, use twice per month as the inspection period of the operating device associated with the dynamic evaluation value.

[0121] S35. If the dynamic evaluation value is greater than or equal to the second adjustment threshold, then determine whether the dynamic evaluation value is less than a preset third adjustment threshold;

[0122] In an embodiment of the present invention, if the dynamic evaluation value is greater than or equal to 50, then determine whether the dynamic evaluation value is less than 90.

[0123] S36. If the dynamic evaluation value is less than the third adjustment threshold, then use the third adjustment period as the inspection period for the operating equipment associated with the dynamic evaluation value;

[0124] In an embodiment of the present invention, if the dynamic evaluation value is less than 90, then use once a week as the inspection period for the operating equipment associated with the dynamic evaluation value.

[0125] S37. If the dynamic evaluation value is greater than or equal to the third adjustment threshold, then use the fourth adjustment period as the inspection period for the operating equipment associated with the dynamic evaluation value.

[0126] In an embodiment of the present invention, if the dynamic evaluation value is greater than or equal to 90, then use once a day as the inspection period for the operating equipment associated with the dynamic evaluation value.

[0127] In another embodiment, each dynamic evaluation value is respectively input into a preset dynamic evaluation score table to match the inspection period corresponding to each operating equipment.

[0128] It should be noted that referring to Figure 3 as shown, when α is 1 - 3 and β is 1 - 3, the value range of the dynamic evaluation score is "0 ≤ Y < 20", the equipment attention status is "general", and the specified inspection period is "once a month"; when α is 4 - 5 and β is 4 - 5, the value range of the dynamic evaluation score is "20 ≤ Y < 50", the equipment attention status is "attention", and the specified inspection period is "twice a month"; when α is 6 - 7 and β is 6 - 7, the value range of the dynamic evaluation score is "50 ≤ Y < 90", the equipment attention status is "relatively large", and the specified inspection period is "once a week"; when α is 8 - 9 and β is 8 - 9, the value range of the dynamic evaluation score is "90 ≤ Y", the equipment attention status is "maximum", and the specified inspection period is "once a day".

[0129] It should be noted that the dynamic evaluation value is between 1 and 100, and the mapping relationship between the dynamic evaluation value and the inspection period is shown in Table 3.

[0130] Table 3

[0131]

[0132] Furthermore, it further includes:

[0133] A1. Determine whether each dynamic evaluation value is greater than or equal to a preset warning threshold respectively;

[0134] In an embodiment of the present invention, it is determined whether each dynamic evaluation value is greater than or equal to 20 respectively.

[0135] A2. When the dynamic evaluation value is less than the warning threshold, no warning is broadcast for the operating equipment associated with the dynamic evaluation value;

[0136] In an embodiment of the present invention, when the dynamic evaluation value is less than 20, no warning is broadcast for the operating equipment associated with the dynamic evaluation value.

[0137] A3. When the dynamic evaluation value is greater than or equal to the warning threshold, a warning is broadcast for the operating equipment associated with the dynamic evaluation value.

[0138] In an embodiment of the present invention, when the dynamic evaluation value is greater than or equal to 20, a warning is broadcast for the operating equipment associated with the dynamic evaluation value.

[0139] It is worth mentioning that when When taking 123 °C for, 14.8 °C for t, and 2.5 m / s for c, and when the equipment importance coefficient α and the equipment health coefficient β are different values, the dynamic evaluation score table in Table 4 can be obtained.

[0140] Table 4

[0141]

[0142] In an embodiment of the present invention, by classifying and calibrating each monitoring data respectively, the evaluation data of each operating equipment is obtained, and then the evaluation data and monitoring data of each operating equipment are dynamically evaluated respectively to generate the dynamic evaluation value of each operating equipment. Thus, the inspection cycle of each operating equipment is adjusted according to the dynamic evaluation value of each operating equipment, overcoming the problem that the prior art mainly monitors the substation through inspection robots, but due to the failure of the inspection robots to classify and stratify the inspection targets, there are problems of over-inspection or under-inspection. Compared with the traditional monitoring method, the present invention adjusts the inspection cycle of each operating equipment through the dynamic evaluation value of each operating equipment, thereby realizing the reasonable allocation of inspection resources, avoiding the problems of over-inspection or under-inspection, and improving the safety of substation operation.

[0143] Please refer to Figure 4 , Figure 4 which is the structural block diagram of a substation monitoring system provided in Embodiment 3 of the present invention.

[0144] A substation monitoring system provided by the present invention includes:

[0145] The acquisition module 301 is used to monitor each operating device according to the inspection cycle of each operating device in the substation, and obtain the monitoring data of each operating device;

[0146] The calibration module 302 is used to classify and calibrate each monitoring data respectively to obtain the evaluation data of each operating device;

[0147] The evaluation module 303 is used to dynamically evaluate the evaluation data and monitoring data of each operating device respectively, and generate the dynamic evaluation value of each operating device;

[0148] The adjustment module 304 is used to adjust the inspection cycle of each operating device according to each dynamic evaluation value, and jump to execute the step of monitoring each operating device according to the inspection cycle of each operating device in the substation.

[0149] Further, the calibration module 302 includes:

[0150] The first calibration sub-module is used to generate corresponding first target keys respectively by using the voltage level and device type of each monitoring data;

[0151] Respectively use each first target key to retrieve the preset list of important coefficient key-value pairs, and match the important coefficient corresponding to each first target key;

[0152] The second calibration sub-module is used to perform health assessment respectively according to the voltage level, device rust area and device surface area of each monitoring data, and obtain the health coefficient of each operating device;

[0153] The third calibration sub-module is used to use the important coefficient and health coefficient corresponding to each operating device as the evaluation data of each operating device respectively.

[0154] Further, the second calibration sub-module includes:

[0155] The ratio unit is used to perform ratio processing on the device rust area and device surface area of each monitoring data respectively to obtain a plurality of rust degree values;

[0156] The calibration unit is used to generate corresponding second target keys respectively by using the rust degree value and voltage level associated with each operating device;

[0157] Respectively use each second target key to retrieve the preset list of health coefficient key-value pairs, and match the health coefficient of each operating device.

[0158] Further, the monitoring data includes the highest temperature of the device, outdoor temperature and outdoor wind speed. The evaluation module 303 includes:

[0159] The square root operation sub-module is used to perform square root operation on each outdoor wind speed respectively to obtain a plurality of first square root values;

[0160] A first multiplication operator module, configured to perform multiplication processing on each of the first square root values and a preset evaluation coefficient respectively to obtain a plurality of first multiplication values;

[0161] A difference operator module, configured to perform difference processing on each outdoor temperature and the corresponding first multiplication value respectively to obtain a plurality of first differences;

[0162] A ratio operator module, configured to perform ratio processing on each device maximum temperature and the corresponding first difference respectively to obtain a plurality of first ratios;

[0163] A second multiplication operator module, configured to perform multiplication processing on each of the first ratios and the corresponding importance coefficient respectively to obtain a plurality of second multiplication values;

[0164] An addition operator module, configured to perform summation processing on each of the second multiplication values and the corresponding health coefficient respectively to obtain a dynamic evaluation value of each operating device.

[0165] Further, the adjustment module 304 includes:

[0166] A first analysis sub-module, configured to determine whether each dynamic evaluation value is less than a preset first adjustment threshold respectively;

[0167] If the dynamic evaluation value is less than the first adjustment threshold, then use the preset first adjustment period as the inspection period of the operating device associated with the dynamic evaluation value;

[0168] A second analysis sub-module, configured to, if the dynamic evaluation value is greater than or equal to the first adjustment threshold, determine whether the dynamic evaluation value is less than a preset second adjustment threshold;

[0169] If the dynamic evaluation value is less than the second adjustment threshold, then use the preset second adjustment period as the inspection period of the operating device associated with the dynamic evaluation value;

[0170] A third analysis sub-module, configured to, if the dynamic evaluation value is greater than or equal to the second adjustment threshold, determine whether the dynamic evaluation value is less than a preset third adjustment threshold;

[0171] If the dynamic evaluation value is less than the third adjustment threshold, then use the third adjustment period as the inspection period of the operating device associated with the dynamic evaluation value;

[0172] If the dynamic evaluation value is greater than or equal to the third adjustment threshold, then use the fourth adjustment period as the inspection period of the operating device associated with the dynamic evaluation value.

[0173] Further, the device types include disconnectors, switches, earthing switches, voltage transformers, current transformers, lightning arresters, and frameworks.

[0174] Further, it further includes:

[0175] An early warning module for respectively determining whether each dynamic evaluation value is greater than or equal to a preset early warning threshold;

[0176] When the dynamic evaluation value is less than the early warning threshold, no early warning is broadcast for the operating device associated with the dynamic evaluation value;

[0177] When the dynamic evaluation value is greater than or equal to the early warning threshold, an early warning is broadcast for the operating device associated with the dynamic evaluation value.

[0178] Please refer to Figure 5 , Figure 5 which is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention.

[0179] An electronic device according to an embodiment of the present invention, the electronic device includes: a memory 401 and a processor 402, and a computer program is stored in the memory 402; when the computer program is executed by the processor 402, the processor 402 is caused to execute the substation monitoring method according to any of the above embodiments.

[0180] The memory 401 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM, a hard disk, or a ROM. The memory 401 has a storage space 403 for program code 413 for executing any method step in the above method. For example, the storage space 403 for program code may include respective program codes 413 for implementing various steps in the above method. These program codes may be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, compact discs (CDs), memory cards, or floppy disks. The program code may be compressed in an appropriate form. When these codes are run by a computing processing device, the computing processing device is caused to execute each step in the method described above.

[0181] Embodiment 5 of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the substation monitoring method according to any of the above embodiments is implemented.

[0182] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments, and will not be described in detail herein.

[0183] In several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0184] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0185] In addition, in each embodiment of the present invention, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0186] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0187] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention.

Claims

1. A substation monitoring method, characterized in that: include: Monitor each operating device in the substation according to the inspection cycle of each operating device, and obtain monitoring data of each operating device; Classifying and calibrating each of the monitoring data respectively to obtain evaluation data of each of the operating devices; Dynamically evaluating the evaluation data and the monitoring data of each of the operating devices respectively to generate a dynamic evaluation value of each of the operating devices; Adjusting the patrol cycle of each of the operating devices according to each of the dynamic evaluation values, and jumping to execute the step of monitoring each of the operating devices according to the patrol cycle of each of the operating devices in the substation; The step of classifying and calibrating each of the monitoring data to obtain the evaluation data of each of the operating devices comprises: respectively using the voltage level and the equipment type of each of the monitoring data to generate a corresponding first target key; Retrieving a preset list of important coefficient key-value pairs using each of the first target keys respectively, and matching important coefficients corresponding to each of the first target keys; Perform health assessments according to the voltage level, equipment corrosion area and equipment surface area of ​​each of the monitoring data to obtain a health coefficient of each of the operating equipment; respectively using the importance coefficient and health coefficient corresponding to each of the operating equipment as evaluation data for each of the operating equipment; The monitoring data includes the maximum temperature of the equipment, the outdoor temperature and the outdoor wind speed. The step of dynamically evaluating the evaluation data and the monitoring data of each of the running equipment to generate a dynamic evaluation value of each of the running equipment includes: Performing square root operations on each of the outdoor wind speeds to obtain a plurality of first square root values; Multiplying each of the first square root values ​​and a preset evaluation coefficient respectively to obtain a plurality of first multiplied values; Performing difference processing on each of the outdoor temperatures and the corresponding first multiplication value to obtain a plurality of first difference values; Performing ratio processing on the highest temperature of each device and the corresponding first difference respectively to obtain a plurality of first ratios; Multiplying each of the first ratios by a corresponding important coefficient to obtain a plurality of second multiplication values; Each of the second product values ​​is summed with the corresponding health coefficient to obtain a dynamic evaluation value of each of the operating devices.

2. The substation monitoring method according to claim 1, characterized in that: The step of performing health assessment according to the voltage level, equipment corrosion area and equipment surface area of ​​each monitoring data to obtain the health coefficient of each operating equipment includes: Performing ratio processing on the equipment corrosion area and equipment surface area of ​​each monitoring data respectively to obtain multiple corrosion degree values; The corresponding second target key is generated by respectively using the corrosion degree value and the voltage level associated with each of the operating devices; Each of the second target keys is used to retrieve a preset health coefficient key-value pair list to match the health coefficient of each of the running devices.

3. The substation monitoring method according to claim 1, characterized in that: The step of adjusting the patrol period of each of the running devices according to each of the dynamic evaluation values ​​comprises: Determine whether each of the dynamic evaluation values ​​is less than a preset first adjustment threshold; If the dynamic evaluation value is less than the first adjustment threshold, the preset first adjustment period is used as the patrol period of the running device associated with the dynamic evaluation value; If the dynamic evaluation value is greater than or equal to the first adjustment threshold, determining whether the dynamic evaluation value is less than a preset second adjustment threshold; If the dynamic evaluation value is less than the second adjustment threshold, the preset second adjustment period is used as the patrol period of the running device associated with the dynamic evaluation value; If the dynamic evaluation value is greater than or equal to the second adjustment threshold, determining whether the dynamic evaluation value is less than a preset third adjustment threshold; If the dynamic evaluation value is less than the third adjustment threshold, the third adjustment period is used as the patrol period of the running device associated with the dynamic evaluation value; If the dynamic evaluation value is greater than or equal to the third adjustment threshold, the fourth adjustment period is used as the patrol period of the running device associated with the dynamic evaluation value.

4. The substation monitoring method according to claim 1, characterized in that: The equipment types include switches, voltage transformers, current transformers, lightning arresters and frames.

5. The substation monitoring method according to claim 1, characterized in that: Also includes: Determine whether each of the dynamic evaluation values ​​is greater than or equal to a preset warning threshold; When the dynamic evaluation value is less than the warning threshold, no warning is broadcast for the running device associated with the dynamic evaluation value; When the dynamic evaluation value is greater than or equal to the warning threshold, a warning is broadcasted to the operating equipment associated with the dynamic evaluation value.

6. A substation monitoring system, characterized in that: include: A collection module, used to monitor each operating device in the substation according to the inspection cycle of each operating device, and obtain monitoring data of each operating device; A calibration module, used to classify and calibrate each of the monitoring data to obtain evaluation data of each of the operating devices; An evaluation module, used to dynamically evaluate the evaluation data and the monitoring data of each of the operating devices, and generate a dynamic evaluation value of each of the operating devices; An adjustment module, used for adjusting the patrol period of each of the operating devices according to each of the dynamic evaluation values, and jumping to execute the step of monitoring each of the operating devices according to the patrol period of each of the operating devices in the substation; The calibration module comprises: A first calibration submodule, used to generate a corresponding first target key by respectively using the voltage level and device type of each of the monitoring data; Retrieving a preset list of important coefficient key-value pairs using each of the first target keys respectively, and matching important coefficients corresponding to each of the first target keys; The second calibration submodule is used to perform health assessment according to the voltage level, equipment corrosion area and equipment surface area of ​​each monitoring data to obtain the health coefficient of each running equipment; A third calibration submodule is used to respectively use the importance coefficient and health coefficient corresponding to each of the operating devices as evaluation data of each of the operating devices; The monitoring data includes the maximum temperature of the equipment, the outdoor temperature and the outdoor wind speed. The evaluation module includes: A square root operation submodule, used for performing square root operation on each of the outdoor wind speeds to obtain a plurality of first square root values; A first multiplication operation submodule, used for multiplying each of the first square root values ​​and a preset evaluation coefficient respectively to obtain a plurality of first multiplication values; A difference operation submodule, used for performing difference processing on each of the outdoor temperatures and the corresponding first multiplication value to obtain a plurality of first difference values; a ratio operation submodule, used for performing ratio processing on the maximum temperature of each device and the corresponding first difference value respectively to obtain a plurality of first ratios; A second multiplication operation submodule, used for multiplying each of the first ratios by a corresponding important coefficient to obtain a plurality of second multiplication values; The summation operation submodule is used to perform sum processing on each of the second product values ​​and the corresponding health coefficient respectively to obtain the dynamic evaluation value of each of the running devices.

7. An electronic device, characterized in that: It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the substation monitoring method according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the substation monitoring method according to any one of claims 1 to 5 is implemented.

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