Transformer substation monitoring method and system

Abstract

The invention discloses a transformer substation monitoring method and system, and relates to the technical field of transformer substation monitoring, and the method comprises the steps: monitoring each operation device according to the inspection cycle of each operation device in a transformer substation, obtaining the monitoring data of each operation device, carrying out the classification calibration of each monitoring data, and obtaining the evaluation data of each operation device, and performing dynamic evaluation on the evaluation data and the monitoring data of each operation device, generating a dynamic evaluation value of each operation device, adjusting the inspection cycle of each operation device according to each dynamic evaluation value, and skipping to execute the step of monitoring each operation device according to the inspection cycle of each operation device in the transformer substation. The technical problems that in the prior art, the transformer substation is monitored mainly through an inspection robot, but the inspection robot cannot conduct hierarchical classification on inspection targets, so that excessive inspection or insufficient inspection exists, and the operation safety of the transformer substation is reduced are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and in particular 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 vital importance. However, the traditional substation monitoring method mainly relies on manual inspections, which has many disadvantages. However, with the continuous expansion of the scale of the power grid and the increasing complexity of power equipment, the workload of manual inspections is huge, and it is difficult to monitor all aspects of the substation in real time and comprehensively. In addition, inspectors may miss some potential problems due to fatigue, negligence, etc., resulting in safety hazards that cannot be discovered and handled in time. Therefore, in order to improve the safety of substations, an intelligent monitoring method for substations is urgently needed.

[0003] At present, the existing technology mainly monitors substations through patrol robots, but since the patrol robots fail to classify the patrol targets into layers, there are problems of over-patrol or under-patrol, which reduces 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 the substation by means of patrol robots, but since the patrol robots fail to classify patrol targets into layers, there are problems of over-patrol or under-patrol, which reduces the safety of substation operation.

[0005] A first aspect of the present invention provides a substation monitoring method, comprising:

[0006] Monitor each operating device in the substation according to the inspection cycle of each operating device, and obtain monitoring data of each operating device;

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

[0008] 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;

[0009] The patrol period of each of the operating devices is adjusted according to each of the dynamic evaluation values, and the step of monitoring each of the operating devices according to the patrol period of each of the operating devices in the substation is skipped and executed.

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

[0011] respectively using the voltage level and the equipment type of each of the monitoring data to generate a corresponding first target key;

[0012] 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;

[0013] 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;

[0014] The importance coefficient and health coefficient corresponding to each of the operating equipment are respectively used as evaluation data of each of the operating equipment.

[0015] Optionally, 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:

[0016] Performing ratio processing on the equipment corrosion area and equipment surface area of ​​each monitoring data respectively to obtain multiple corrosion degree values;

[0017] 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;

[0018] 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.

[0019] Optionally, the monitoring data includes the maximum temperature of the equipment, the outdoor temperature and the outdoor wind speed, and 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:

[0020] Performing square root operations on each of the outdoor wind speeds to obtain a plurality of first square root values;

[0021] Multiplying each of the first square root values ​​and a preset evaluation coefficient respectively to obtain a plurality of first multiplied values;

[0022] Performing difference processing on each of the outdoor temperatures and the corresponding first multiplication value to obtain a plurality of first difference values;

[0023] Performing ratio processing on the highest temperature of each device and the corresponding first difference respectively to obtain a plurality of first ratios;

[0024] Multiplying each of the first ratios by a corresponding important coefficient to obtain a plurality of second multiplication values;

[0025] 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.

[0026] Optionally, the step of adjusting the patrol period of each of the running devices according to each of the dynamic evaluation values ​​includes:

[0027] Determine whether each of the dynamic evaluation values ​​is less than a preset first adjustment threshold;

[0028] 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;

[0029] 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;

[0030] 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;

[0031] 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;

[0032] 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;

[0033] 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.

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

[0035] Optionally, it also includes:

[0036] Determining whether each of the dynamic evaluation values ​​is greater than or equal to a preset warning threshold;

[0037] 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;

[0038] 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.

[0039] A second aspect of the present invention provides a substation monitoring system, comprising:

[0040] 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;

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

[0042] 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;

[0043] The adjustment module is used to adjust the patrol period of each operating device according to each dynamic evaluation value, and jump to execute the step of monitoring each operating device according to the patrol period of each operating device in the substation.

[0044] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the substation monitoring method as described in any one of the above items.

[0045] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed, implements the substation monitoring method as described in any one of the above items.

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

[0047] By classifying and calibrating each monitoring data, the evaluation data of each operating device is obtained, and then the evaluation data and monitoring data of each operating device are dynamically evaluated to generate a dynamic evaluation value of each operating device, so as to adjust the patrol period of each operating device according to the dynamic evaluation value of each operating device, thereby overcoming the problem that the prior art mainly monitors substations through patrol robots, but the patrol robots fail to classify the patrol targets into layers, resulting in excessive or insufficient patrols. Compared with the traditional monitoring method, the present invention adjusts the patrol period of each operating device through the dynamic evaluation value of each operating device, thereby realizing a reasonable allocation of patrol resources, avoiding the problem of excessive or insufficient patrols, and improving the safety of substation operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

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

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

[0051] Figure 3 A dynamic evaluation score corresponding diagram provided in the second embodiment of the present invention;

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

[0053] Figure 5 This is a structural block diagram of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0054] The embodiments of the present invention provide a substation monitoring method and system, which are used to solve the technical problem that the existing technology mainly monitors the substation through patrol robots, but because the patrol robots fail to classify the patrol targets into layers, there are problems of excessive patrol or insufficient patrol, which reduces the safety of substation operation.

[0055] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions 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 embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1 , Figure 1 A flowchart of the steps of a substation monitoring method provided in Embodiment 1 of the present invention.

[0057] The present invention provides a substation monitoring method, comprising:

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

[0059] It should be noted that the monitoring data includes voltage level, equipment type, equipment corrosion 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 cycle of each operating device in the substation, the monitoring data of each operating device is obtained by the inspection robot.

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

[0062] In the embodiment of the present invention, the voltage level and device type of each operating device are respectively used as the first target key, each first target key is respectively input into a preset important coefficient key-value pair list, the important coefficient corresponding to each operating device is matched, the ratio between the equipment corrosion area and the equipment surface area of ​​each operating device is respectively calculated, and multiple first ratios are obtained, the first ratio and voltage level of each operating device are respectively used as the second target key, each second target key is respectively input into a preset health coefficient key-value pair list, and the health coefficient corresponding to each operating device is matched. The important coefficient and health coefficient 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 to generate a 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 a preset dynamic evaluation function to obtain a dynamic evaluation value of each operating device.

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

[0066]

[0067] in, is the dynamic evaluation value, is the maximum temperature of the device, is the outdoor temperature, is the outdoor temperature, is the important coefficient, Is the health factor.

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

[0069] In the embodiment of the present invention, each dynamic evaluation value is input into a preset cycle database to obtain a target cycle corresponding to each operating device, and the patrol cycle of each operating device is updated using each target cycle, and the process jumps to execute step 101.

[0070] In an embodiment of the present invention, each monitoring data is classified and calibrated respectively to obtain evaluation data of each operating device, and then the evaluation data and monitoring data of each operating device are dynamically evaluated to generate a dynamic evaluation value of each operating device, thereby adjusting the patrol period of each operating device according to the dynamic evaluation value of each operating device, thereby overcoming the problem that the prior art mainly monitors substations through patrol robots, but the patrol robots fail to classify patrol targets into layers, resulting in excessive or insufficient patrols. Compared with traditional monitoring methods, the present invention adjusts the patrol period of each operating device through the dynamic evaluation value of each operating device, thereby achieving a reasonable allocation of patrol resources, avoiding the problem of excessive or insufficient patrols, and improving the safety of substation operation.

[0071] See also Figure 2 , Figure 2 A flowchart of the steps of a substation monitoring method provided in Embodiment 2 of the present invention.

[0072] The present invention provides a substation monitoring method, comprising:

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

[0074] In the embodiment of the present invention, the patrol robot monitors each operating device in the substation according to the patrol cycle of each operating device, and obtains monitoring data of each operating device.

[0075] It is worth mentioning that the patrol robot monitors each running device in the following specific process: the patrol robot obtains the voltage level, device type, outdoor temperature, outdoor wind speed, infrared image and surface image of the running device, inputs the infrared image into the pre-trained temperature detection model to obtain the maximum temperature of the device, and inputs the surface image into the pre-trained surface detection model to obtain the equipment corrosion area and equipment surface area. 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 models based on deep learning (for example, R-CNN or YOLO model).

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

[0077] In the embodiment of the present invention, the voltage level and the device type of each monitoring data are respectively used as the first target key of each operating device.

[0078] It should be noted that the equipment types include disconnectors, switches, earthing switches, voltage transformers, current transformers, lightning arresters and frames.

[0079] Step 203: Use each first target key to retrieve a preset important coefficient key-value pair list, and match the important coefficient corresponding to each first target key;

[0080] In the embodiment of the present invention, each first target key is input into a preset important coefficient key-value pair list to match the important coefficient corresponding to each first target key.

[0081] It should be noted that, referring to Table 1, in the list of important coefficient key-value pairs, A1=(isolating switch and earthing switch), A2=(switch), A3=(current transformer and voltage transformer), A4=(lightning arrester), A5=(framework).

[0082] Table 1

[0083]

[0084] Step 204: 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 operating equipment;

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

[0086] S11, performing ratio processing on the equipment corrosion area and equipment surface area of ​​each monitoring data to obtain multiple corrosion degree values;

[0087] In the embodiment of the present invention, the ratio between the equipment corrosion area and the equipment surface area in each monitoring data is calculated respectively to obtain a plurality of corrosion degree values.

[0088] S12, respectively using the corrosion degree value and voltage level associated with each operating device to generate a corresponding second target key;

[0089] In the embodiment of the present invention, the corrosion degree value and the voltage level associated with each operating device are respectively used as the second target key.

[0090] S13. Use each second target key to retrieve a preset health coefficient key-value pair list to match the health coefficient of each running device.

[0091] In the embodiment of the present invention, each second target key is input into a preset health coefficient key-value pair list to match the health coefficient of each running device.

[0092] It should be noted that, referring to Table 2, in the list of health coefficient key-value pairs, the rust degree values ​​in the interval of [100%, 80%) are determined as rust-rejected (i.e., β1), the rust degree values ​​in the interval of [80%, 50%) are determined as severe rust (i.e., β2), the rust degree values ​​in the interval of [50%, 20%) are determined as moderate rust (i.e., β3), the rust degree values ​​in the interval of [20%, 10%) are determined as light rust (i.e., β4), and the rust degree values ​​in the interval of [10%, 0%] are determined as trace rust (i.e., β5).

[0093] Table 2

[0094]

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

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

[0098] Further, the monitoring data includes the maximum temperature of the equipment, the outdoor temperature and the outdoor wind speed. Step 206 includes the following sub-steps:

[0099] S21, performing square root calculations 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 of each outdoor wind speed is calculated respectively to obtain a plurality of first square root values.

[0101] S22, multiplying each first square root value and a preset evaluation coefficient respectively to obtain a plurality of first multiplication values;

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

[0103] S23, performing difference processing 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 calculated respectively to obtain a plurality of first difference values.

[0105] S24, performing ratio processing on the maximum temperature of each device and the corresponding first difference value to obtain multiple first ratios;

[0106] In the embodiment of the present invention, the ratio between the maximum temperature of each device and the corresponding first difference is calculated respectively to obtain a plurality of first ratios.

[0107] S25, multiplying each first ratio by a corresponding important coefficient to obtain a plurality of second multiplication values;

[0108] In the embodiment of the present invention, the multiplication values ​​between each first ratio and the corresponding important coefficient are calculated respectively to obtain a plurality of second multiplication values.

[0109] S26. Perform sum processing on each second product value and the corresponding health coefficient respectively to obtain a dynamic evaluation value of each operating device.

[0110] In the embodiment of the present invention, the sum of each second product value and the corresponding health coefficient is calculated respectively to obtain the dynamic evaluation value of each operating device.

[0111] Step 207: adjust the patrol period of each operating device according to each dynamic evaluation value, and jump to execute the step of monitoring each operating device according to the patrol period of each operating device in the substation.

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

[0113] S31, respectively determining whether each dynamic evaluation value is less than a preset first adjustment threshold;

[0114] In the embodiment of the present invention, it is determined whether each dynamic evaluation value is less than 20.

[0115] S32: 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;

[0116] In the embodiment of the present invention, if the dynamic evaluation value is less than 20, once a month is used as the patrol period of the running equipment associated with the dynamic evaluation value.

[0117] S33: 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;

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

[0119] S34, 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 dynamic evaluation value-associated running device;

[0120] In the embodiment of the present invention, if the dynamic evaluation value is less than 50, 2 times / month is used as the patrol period of the running equipment associated with the dynamic evaluation value.

[0121] S35: 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;

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

[0123] S36. 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;

[0124] In the embodiment of the present invention, if the dynamic evaluation value is less than 90, 1 time / week is used as the patrol period of the running device associated with the dynamic evaluation value.

[0125] S37: If the dynamic evaluation value is greater than or equal to the third adjustment threshold, use the fourth adjustment period as a patrol period of the running device associated with the dynamic evaluation value.

[0126] In the embodiment of the present invention, if the dynamic evaluation value is greater than or equal to 90, 1 time / day is used as the patrol period of the running device associated with the dynamic evaluation value.

[0127] In another embodiment, each dynamic evaluation value is input into a preset dynamic evaluation score table to match the patrol cycle corresponding to each operating device.

[0128] It should be noted that, see Figure 3 As shown in the figure, when α is 1-3 and β is 1-3, the dynamic evaluation score range is "0≤Y<20", the equipment attention status is "general", and the specified inspection cycle is "once a month"; when α is 4-5 and β is 4-5, the dynamic evaluation score range is "20≤Y<50", the equipment attention status is "attention", and the specified inspection cycle is "twice a month"; when α is 6-7 and β is 6-7, the dynamic evaluation score range is "50≤Y<90", the equipment attention status is "large", and the specified inspection cycle is "once a week"; when α is 8-9 and β is 8-9, the dynamic evaluation score range is "90≤Y", the equipment attention status is "maximum", and the specified inspection cycle 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 patrol cycle is shown in Table 3.

[0130] Table 3

[0131]

[0132] Furthermore, it also includes:

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

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

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

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

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

[0139] It is worth mentioning that when When the temperature is 123℃, t is 14.8℃, and c is 2.5m / s, and the equipment importance coefficient α and 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, each monitoring data is classified and calibrated respectively to obtain evaluation data of each operating device, and then the evaluation data and monitoring data of each operating device are dynamically evaluated to generate a dynamic evaluation value of each operating device, thereby adjusting the patrol period of each operating device according to the dynamic evaluation value of each operating device, thereby overcoming the problem that the prior art mainly monitors substations through patrol robots, but the patrol robots fail to classify patrol targets into layers, resulting in excessive or insufficient patrols. Compared with traditional monitoring methods, the present invention adjusts the patrol period of each operating device through the dynamic evaluation value of each operating device, thereby achieving a reasonable allocation of patrol resources, avoiding the problem of excessive or insufficient patrols, and improving the safety of substation operation.

[0143] See also Figure 4 , Figure 4 This is a structural block diagram of a substation monitoring system provided in Embodiment 3 of the present invention.

[0144] The present invention provides a substation monitoring system, comprising:

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

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

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

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

[0149] Furthermore, the calibration module 302 includes:

[0150] A first calibration submodule, used to generate a corresponding first target key by using the voltage level and device type of each monitoring data;

[0151] Retrieving a preset list of important coefficient key-value pairs using each first target key respectively, and matching the important coefficients corresponding to each first target key;

[0152] 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 operating equipment;

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

[0154] Furthermore, the second calibration submodule includes:

[0155] A ratio unit is used to perform ratio processing on the equipment corrosion area and equipment surface area of ​​each monitoring data to obtain multiple corrosion degree values;

[0156] A calibration unit, used to generate a corresponding second target key using the corrosion degree value and voltage level associated with each operating device;

[0157] Each second target key is used to retrieve a preset health coefficient key-value pair list to match the health coefficient of each running device.

[0158] Furthermore, the monitoring data includes the maximum temperature of the equipment, the outdoor temperature and the outdoor wind speed. The evaluation module 303 includes:

[0159] A square root operation submodule, used to perform square root operations on each outdoor wind speed to obtain multiple first square root values;

[0160] A first multiplication operation submodule, used for multiplying each first square root value and a preset evaluation coefficient respectively to obtain a plurality of first multiplication values;

[0161] A difference operation submodule, used for performing difference processing on each outdoor temperature and the corresponding first multiplication value to obtain a plurality of first difference values;

[0162] A ratio operation submodule, used for performing ratio processing on the maximum temperature of each device and the corresponding first difference value to obtain a plurality of first ratios;

[0163] A second multiplication operation submodule is used to perform multiplication processing on each first ratio and a corresponding important coefficient to obtain a plurality of second multiplication values;

[0164] The summation operation submodule is used to perform sum processing on each second product value and the corresponding health coefficient respectively to obtain the dynamic evaluation value of each operating device.

[0165] Furthermore, the adjustment module 304 includes:

[0166] A first analysis submodule, used to determine whether each dynamic evaluation value is less than a preset first adjustment threshold;

[0167] 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;

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

[0169] 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;

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

[0171] 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;

[0172] 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.

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

[0174] Furthermore, it also includes:

[0175] The early warning module is used to determine 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 warning threshold, no warning will be broadcast for the running equipment associated with the dynamic evaluation value;

[0177] When the dynamic evaluation value is greater than or equal to the warning threshold, a warning is broadcast to the operating equipment associated with the dynamic evaluation value.

[0178] See also Figure 5 , Figure 5 This 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 includes: a memory 401 and a processor 402, wherein the memory 402 stores a computer program; when the computer program is executed by the processor 402, the processor 402 executes a 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 a program code 413 for executing any method step in the above method. For example, the storage space 403 for the program code may include individual program codes 413 for implementing the various steps in the above method, respectively. 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 a hard disk, a compact disk (CD), a memory card or a floppy disk. The program code may be compressed, for example, in an appropriate form. When these codes are run by a computing and processing device, the computing and processing device is caused to execute the various steps in the above-described method.

[0181] Embodiment 5 of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the substation monitoring method as described in 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 aforementioned method embodiments and will not be repeated here.

[0183] In the several embodiments provided in 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 only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. 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 mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

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

[0185] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may 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 the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media 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 the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments 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; The patrol period of each of the operating devices is adjusted according to each of the dynamic evaluation values, and the step of monitoring each of the operating devices according to the patrol period of each of the operating devices in the substation is skipped and executed.

2. The substation monitoring method according to claim 1, characterized in that: 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; The importance coefficient and health coefficient corresponding to each of the operating equipment are respectively used as evaluation data of each of the operating equipment.

3. The substation monitoring method according to claim 2, 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.

4. The substation monitoring method according to claim 2, characterized in that: 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 multiplication values ​​is summed with the corresponding health coefficient to obtain a dynamic evaluation value of each of the operating devices.

5. 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.

6. The substation monitoring method according to claim 2, characterized in that: The equipment types include disconnectors, switches, earthing switches, voltage transformers, current transformers, lightning arresters and frames.

7. 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.

8. 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; The adjustment module is used to adjust the patrol period of each operating device according to each dynamic evaluation value, and jump to execute the step of monitoring each operating device according to the patrol period of each operating device in the substation.

9. 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 7.

10. 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 7 is implemented.

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