A wireless measurement method and system for electrical quantities in a substation

Abstract

The invention relates to the technical field of substation monitoring, and discloses a method and system for wirelessly measuring electrical quantities in a substation, comprising: acquiring temperature data of each monitoring point in a target area, analyzing whether the temperature of each monitoring point is abnormal, judging whether the equipment in the monitoring point with abnormal temperature is working abnormally, and repairing the equipment in the monitoring point with abnormal temperature. The method and system for wirelessly measuring electrical quantities in a substation judge whether the equipment within the range of the monitoring point is abnormal according to the temperature of each monitoring point in the area, judge whether the temperature abnormality of the monitoring point is caused by environmental factors according to the operation of the equipment within the range of the monitoring point with abnormal temperature, determine the actual collection point where the equipment fault exists and the faulty equipment, find and determine the faulty equipment in time, avoid the equipment from being kept running for a long time in an incorrect way of use, extend the service life of the equipment, and improve the reliable operation of the substation and even the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of substation monitoring, and in particular to a method and system for wirelessly measuring electrical quantities in a substation. Background Art

[0002] In the process of promoting the construction of smart grid, the operating status of the equipment in the substation affects the overall stability of the power grid. The correctness of the current and voltage circuits in the substation is directly related to the correct operation of the secondary systems such as relay protection, measurement, and metering, and is also directly related to the reliable operation of the substation. Therefore, during the commissioning of the substation, it is necessary to carry out the monitoring of the electrical quantities of the equipment in the station, mainly including the phase verification of the voltage circuit and the load test of the current circuit, to verify the correctness of the early design, construction, and commissioning of the substation, and also provide necessary conditions for the safe and reliable operation of the substation in the later stage;

[0003] The existing wireless measurement method and system for electrical quantities in substations cannot judge whether there are abnormal conditions in the equipment within the monitoring point range based on the temperature of each monitoring point in the area, and cannot judge whether the temperature abnormality at the monitoring point is caused by environmental factors based on the operation of the equipment within the monitoring point range with abnormal temperature. It cannot determine the actual collection point and faulty equipment where equipment failure exists based on environmental factors, so that the faulty equipment cannot be discovered in time, shortening the service life of the equipment and affecting the reliable operation of the substation and even the power grid. Its practicality has certain limitations. Summary of the invention

[0004] The present invention provides a method and system for wirelessly measuring electrical quantities in a substation, which are used to promote solving the problems mentioned in the background technology.

[0005] The present invention provides the following technical solution: a method for wirelessly measuring electrical quantities in a substation, comprising:

[0006] Obtain all monitoring points in the target area to form a monitoring point set;

[0007] Obtain the temperature data of each monitoring point and set it as the monitoring temperature;

[0008] The monitored temperature of each monitoring point is matched one by one with each element in the monitoring point set to form a monitoring temperature set;

[0009] Set safe temperature;

[0010] If the monitored temperature ≥ the safe temperature, the temperature is considered abnormal;

[0011] If the monitored temperature is less than the safe temperature, the temperature is considered normal;

[0012] The monitoring point where the temperature is judged to be abnormal is defined as an abnormal monitoring point;

[0013] If there is no abnormal monitoring point in the monitoring temperature set, it is determined that the equipment in the target area is working normally;

[0014] If there is an abnormal monitoring point in the monitoring temperature set, the abnormal monitoring point is identified as the target monitoring point, and the abnormal analysis strategy is executed to form abnormal analysis data;

[0015] If the abnormal analysis data shows that the target monitoring point is abnormal, the abnormal equipment is extracted and repaired or replaced;

[0016] If the abnormal analysis data shows that the target monitoring point is normal, the impact analysis strategy is executed to form the impact analysis data;

[0017] If the impact analysis data is environmental impact, it is determined that the equipment in the target area is operating normally;

[0018] If the impact analysis data is equipment impact, the faulty equipment is extracted and repaired.

[0019] As a wireless measurement method for electrical quantities in a substation according to the present invention, the abnormal analysis strategy is specifically as follows:

[0020] Get the target monitoring point;

[0021] Set the analysis distance;

[0022] The target monitoring point is taken as the center point and the analysis distance is taken as the radius to form the target range;

[0023] Obtain the equipment within the target range and define it as the analysis equipment;

[0024] Get the number of analytical devices and set it as the number of analyses;

[0025] If the number of analyses = 0, the target monitoring point is judged to be normal;

[0026] If the number of analyses = 1, the device is identified as a target device and the device operation analysis strategy is executed;

[0027] If the equipment operates normally, the target monitoring point is judged to be normal;

[0028] If the device operates abnormally, the device is determined to be an abnormal device;

[0029] If the number of analyses is greater than 1, the regional equipment analysis strategy is executed.

[0030] As a wireless measurement method for electrical quantities of a substation described in the present invention, wherein: the equipment operation analysis strategy is specifically:

[0031] Obtaining power consumption data of a target device and setting it as target power consumption data;

[0032] Set and analyze electricity consumption data;

[0033] If the target power consumption data < the analyzed power consumption data × (1 + 20%), the equipment is judged to be operating normally;

[0034] If the target power consumption data ≥ the analyzed power consumption data × (1 + 20%), the load data of the target device is obtained and set as the target load data;

[0035] Set analysis load data;

[0036] If the target load data is less than the analyzed load data × (1 + 20%), the equipment is judged to be operating abnormally;

[0037] If the target load data ≥ the analyzed load data × (1 + 20%), then obtain the backup equipment within the target range;

[0038] Obtain all lines in the target load data and define them as target lines;

[0039] Obtain energy consumption data corresponding to each target line and define it as line energy consumption data;

[0040] Sort all target lines according to the values ​​of line energy consumption data from large to small to form an energy consumption order set;

[0041] Taking the first element in the energy consumption sequence set as the starting element, sequentially superimpose and select backward and calculate the total energy consumption value of the line energy consumption data of all the selected elements;

[0042] Extract all elements whose total energy consumption value is ≤ analyzed load data × (1-20%) and whose number is the largest and have been selected to form a first energy consumption set;

[0043] Calculate the second energy consumption set, where the second energy consumption set = energy consumption sequence set - first energy consumption set;

[0044] Adjusting and connecting all elements in the second energy consumption set to the backup device;

[0045] Obtain target power consumption data again;

[0046] If the target power consumption data < the analyzed power consumption data × (1 + 20%), the equipment is judged to be operating normally;

[0047] If the target power consumption data ≥ analyzed power consumption data × (1 + 20%), the equipment is judged to be operating abnormally.

[0048] As a wireless measurement method for electrical quantities of a substation described in the present invention, the regional equipment analysis strategy is specifically:

[0049] Get all devices within the target range to form a device set;

[0050] Identify each element in the device set as a target device in turn;

[0051] Execute device operation analysis strategy on target devices;

[0052] If all elements in the device set are in normal operation, the target monitoring point is considered normal;

[0053] If there are elements with abnormal equipment operation in the equipment set, the target monitoring point is determined to be abnormal;

[0054] The devices corresponding to the elements with abnormal device operation are extracted and identified as abnormal devices.

[0055] As a wireless measurement method for electrical quantities in a substation according to the present invention, the impact analysis strategy is specifically:

[0056] Obtain target monitoring points and analysis quantities;

[0057] Get the monitoring point set;

[0058] The set of monitoring points without the target monitoring point is defined as the analysis set;

[0059] Get the analysis distance;

[0060] Each element in the analysis set is identified as an analysis monitoring point in turn;

[0061] The analysis range is formed with the analysis monitoring point as the center point and the analysis distance as the radius;

[0062] Get the number of devices within the analysis scope and set it as the number of analyzed devices;

[0063] If the number of analyses ≥ the number of analytical devices × (1 + 50%), the number of judged devices differs greatly;

[0064] If the number of analyses is less than the number of analytical equipment × (1 + 50%), the difference in the number of judged equipment is small;

[0065] Get the number of elements in the analysis set and set it as the number of analysis elements;

[0066] Obtain the number of elements in the analysis set whose number of judged devices differs greatly, and define it as the difference number;

[0067] If the number of phase differences is ≥ the number of analyzed elements × 80%, the heat dissipation analysis strategy is executed;

[0068] If the difference is less than the number of analyzed elements × 80%, the environmental analysis strategy is executed.

[0069] As a wireless measurement method for electrical quantity of a substation described in the present invention, the heat dissipation analysis strategy is specifically as follows:

[0070] Get the target scope and number of analyses;

[0071] If the number of analyses is ≤1, the environmental analysis strategy is executed;

[0072] If the number of analyses is greater than 1, then the device set is obtained;

[0073] Get the position of each element in the device collection and set it as the device position;

[0074] Each device position is matched with each element in the device set one by one to form a position set;

[0075] Identify each element in the position set as the target element in turn, and execute S1-S10;

[0076] Obtain the number of elements in the position set that determine that the target element has poor heat dissipation, and define it as the heat dissipation number;

[0077] Get the number of elements in the location set and define it as the number of regional devices;

[0078] If the heat dissipation quantity ≥ the number of devices in the area × 40%, the impact analysis data is determined to be environmental impact, and it is indicated that the devices in the area are densely populated;

[0079] If the heat dissipation quantity is less than the number of regional devices × 40%, the environmental analysis strategy is executed;

[0080] The S1-S10 are specifically:

[0081] S1, the position set of the target element is removed and is defined as the analysis element set;

[0082] S2, extracting each element in the analysis element set in turn and defining them as analysis elements;

[0083] S3, obtaining the distance between the target element and the analysis element, and setting it as the analysis determination distance;

[0084] S4, setting the judgment distance;

[0085] S5. If the analysis determination distance is less than the determination distance, the determination distance is too close;

[0086] S6. If the analysis determination distance ≥ the determination distance, the determination distance is normal;

[0087] S7, obtaining the number of elements in the analysis element set that are judged to be too close, and defining it as the too close number;

[0088] S8, obtaining the number of elements in the analysis element set and setting it as the determination number;

[0089] S9. If the number of close proximity is ≥ the number of determination × 40%, it is determined that the heat dissipation of the target element is not smooth;

[0090] S10. If the number of too close is less than the determination number × 40%, it is determined that the heat dissipation of the target element is smooth.

[0091] As a wireless measurement method for electrical quantities in a substation according to the present invention, the environmental analysis strategy is specifically:

[0092] Obtain the position of the target monitoring point and set it as the target monitoring position;

[0093] Get the monitored temperature set;

[0094] The monitoring temperature set without the target monitoring point is defined as the analysis monitoring set;

[0095] Obtain the position of each element in the analysis monitoring set and define it as the analysis monitoring position;

[0096] Obtain wind data in a target area and set it as target wind data;

[0097] Set and determine wind force data;

[0098] If the target wind data is less than or equal to the determined wind data, the impact analysis data is equipment impact, and it is indicated that there is equipment abnormality in the target monitoring point;

[0099] Extract the device set, and identify all elements in the device set as faulty devices;

[0100] If the target wind data is greater than the determined wind data, the ambient temperature within the target range is obtained and determined as the target ambient temperature;

[0101] Obtain the device temperature corresponding to the target ambient temperature for all devices within the target range, and define it as the heat dissipation temperature;

[0102] If the monitoring temperature of the target monitoring point is ≥ the heat dissipation temperature × (1-10%), the impact analysis data is determined to be environmental impact, and it is prompted that the ambient temperature within the target range is too high;

[0103] If the monitoring temperature of the target monitoring point is less than the heat dissipation temperature × (1-10%), the wind analysis strategy is executed.

[0104] As a wireless measurement method for electrical quantities of a substation described in the present invention, the wind force analysis strategy is specifically as follows:

[0105] Obtain target wind data;

[0106] Obtain the time when the temperature of the target monitoring point is judged to be abnormal, and define it as the abnormal time;

[0107] Obtain all the time when the temperature of the target monitoring point is judged to be normal, and define it as the analysis time;

[0108] Calculate the interval between each analysis time and abnormal time, interval time = abnormal time - analysis time;

[0109] The analysis time corresponding to the interval duration with the smallest value is extracted and determined as the judgment time;

[0110] Calculate the farthest diffusion distance, farthest diffusion distance = (abnormal time - judgment time) × target wind data;

[0111] Get the target monitoring position;

[0112] Obtain the wind direction in the target area and set it as the target wind direction;

[0113] The target monitoring position is taken as the origin, the opposite direction of the target wind direction is taken as the reference direction, and the farthest diffusion distance is taken as the vector length to form the analysis direction;

[0114] Get the analysis monitoring collection;

[0115] Identify each element in the analytical monitoring set as an analytical monitoring element in turn;

[0116] Taking the position of the element being analyzed and monitored as the origin, draw a vertical line in the direction of analysis, which is defined as the analysis vertical line;

[0117] Obtain the length of the analysis vertical line and define it as the analysis monitoring distance;

[0118] All elements in the analysis and monitoring set are sorted from small to large according to the value of the analysis and monitoring distance to form an analysis sequence set;

[0119] Obtain the distance between each element in the analysis sequence set and the target monitoring position, and define it as the determination monitoring distance;

[0120] All elements in the analysis sequence set are sorted from small to large according to the value of the determination monitoring distance to form a determination sequence set;

[0121] Each element in the judgment sequence set is identified as a target monitoring point in turn, and an abnormal analysis strategy is executed;

[0122] If all elements in the determination sequence set determine that the target monitoring point is normal, the impact analysis data is determined to be equipment impact, and it is prompted that equipment abnormalities exist in the target monitoring point and the monitoring points corresponding to all elements in the determination sequence set;

[0123] Extract the determination sequence set, and define the target monitoring point and all elements in the determination sequence set as fault elements;

[0124] All devices corresponding to each faulty element are identified as faulty devices;

[0125] If there is an element in the determination sequence set that determines that the target monitoring point is abnormal, the impact analysis data is determined to be equipment impact, and it is prompted that there is equipment abnormality in the monitoring point corresponding to the element in the determination sequence set that determines that the target monitoring point is abnormal;

[0126] Extract the elements in the judgment sequence set that determine the target monitoring point to be abnormal and define them as fault elements;

[0127] The abnormal device corresponding to the fault element is identified as the faulty device.

[0128] The present invention also discloses a system for executing a method for wirelessly measuring electrical quantities in a substation, which includes:

[0129] Acquisition module: used to obtain temperature data of each monitoring point in the target area;

[0130] Analysis module: used to analyze whether the temperature of each monitoring point in the target area is abnormal;

[0131] Determination module: used to determine whether the equipment in the monitoring point with abnormal temperature is working abnormally;

[0132] Maintenance module: used to perform maintenance on equipment within monitoring points with abnormal temperatures.

[0133] The present invention has the following beneficial effects:

[0134] 1. The wireless measurement method and system of electrical quantities in the substation obtains the temperature of each monitoring point in the area to determine whether the temperature of the monitoring point is abnormal. If the temperature of the monitoring point is abnormal, the operation status of the equipment within the range of the monitoring point is obtained, and the faulty equipment is found and determined in time to avoid the equipment from being kept running for a long time in an incorrect way, thereby extending the service life of the equipment and improving the reliable operation of the substation and even the power grid.

[0135] 2. The wireless measurement method and system for electrical quantities in the substation obtains the operating conditions of the equipment within the range of the monitoring point with abnormal temperature to determine whether there is a long-term overload operation of the equipment. If there is a device that has been overloaded for a long time, the equipment load is adjusted to find and identify the faulty equipment in time to avoid the equipment from running in an incorrect manner for a long time, thereby extending the service life of the equipment and improving the reliable operation of the substation and even the power grid.

[0136] 3. The wireless measurement method and system of electrical quantities in the substation obtains the distribution of equipment within the range of the monitoring point with abnormal temperature to determine whether there is a situation where the equipment is concentrated and the equipment cannot dissipate heat in time. If not, the ambient temperature and wind conditions within the range are obtained to determine whether the ambient temperature is too high and the equipment cannot dissipate heat in time. If not, based on the wind conditions within the range, it is determined whether there is a situation where equipment at other monitoring points fails and is affected by the wind, causing heat to diffuse to the monitoring point with abnormal temperature. The actual collection point where the equipment failure exists and the faulty equipment are determined, and the faulty equipment is found and determined in time to avoid the equipment from being kept running for a long time in an incorrect way, thereby extending the service life of the equipment and improving the reliable operation of the substation and even the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0137] Figure 1 This is a flow chart of the wireless measurement method for electrical quantities in a substation of the present invention;

[0138] Figure 2 The present invention is a system block diagram of a method for wirelessly measuring electrical quantities in a substation. DETAILED DESCRIPTION

[0139] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0140] Embodiment 1, a method for wirelessly measuring electrical quantities in a substation, referring to Figure 1 ,include:

[0141] Obtain all monitoring points in the target area to form a monitoring point set;

[0142] Obtain the temperature data of each monitoring point and set it as the monitoring temperature;

[0143] The monitored temperature of each monitoring point is matched one by one with each element in the monitoring point set to form a monitoring temperature set;

[0144] Setting a safety temperature, which is the highest temperature collected by the monitoring point when all devices within the monitoring point range are running at the rated maximum load;

[0145] If the monitored temperature ≥ the safe temperature, the temperature is considered abnormal;

[0146] If the monitored temperature is less than the safe temperature, the temperature is considered normal;

[0147] The monitoring point where the temperature is judged to be abnormal is defined as an abnormal monitoring point;

[0148] If there is no abnormal monitoring point in the monitoring temperature set, it is determined that the equipment in the target area is working normally;

[0149] If there is an abnormal monitoring point in the monitoring temperature set, the abnormal monitoring point is identified as the target monitoring point, and the abnormal analysis strategy is executed to form abnormal analysis data;

[0150] If the abnormal analysis data shows that the target monitoring point is abnormal, the abnormal equipment is extracted and repaired or replaced;

[0151] If the abnormal analysis data shows that the target monitoring point is normal, the impact analysis strategy is executed to form the impact analysis data;

[0152] If the impact analysis data is environmental impact, it is determined that the equipment in the target area is operating normally;

[0153] If the impact analysis data is equipment impact, the faulty equipment is extracted and repaired.

[0154] Through the above method, according to the temperature of each monitoring point in the area, it is judged whether there is any abnormality in the equipment within the range of the monitoring point. According to the operation of the equipment within the range of the monitoring point with abnormal temperature, it is judged whether the abnormal temperature of the monitoring point is caused by environmental factors. According to the environmental factors, the actual collection point where the equipment failure exists and the faulty equipment are determined, and the faulty equipment is found and determined in time to avoid the equipment from running for a long time in an incorrect way of use, thereby extending the service life of the equipment and improving the reliable operation of the substation and even the power grid.

[0155] Embodiment 2: This embodiment is an improvement made on the basis of embodiment 1. The wireless measurement method of electrical quantity in a substation and the abnormal analysis strategy are specifically as follows:

[0156] Get the target monitoring point;

[0157] Setting the analysis distance, where the analysis distance is a distance value set manually according to needs, such as 5 kilometers;

[0158] The target monitoring point is taken as the center point and the analysis distance is taken as the radius to form the target range;

[0159] Obtain the devices within the target range and define them as analysis devices, wherein the devices are the devices that are running within the range and do not include the devices that have stopped running;

[0160] Get the number of analytical devices and set it as the number of analyses;

[0161] If the number of analyses = 0, the target monitoring point is judged to be normal;

[0162] If the number of analyses = 1, the device is identified as a target device and the device operation analysis strategy is executed;

[0163] If the equipment operates normally, the target monitoring point is judged to be normal;

[0164] If the device operates abnormally, the device is determined to be an abnormal device;

[0165] If the number of analyses is greater than 1, the regional equipment analysis strategy is executed.

[0166] The device operation analysis strategy is specifically:

[0167] Obtaining power consumption data of a target device, which is defined as target power consumption data, wherein the power consumption data is a current value of the device;

[0168] Setting analysis power consumption data, wherein the analysis power consumption data is the current value corresponding to the equipment when it is operating normally;

[0169] If the target power consumption data < the analyzed power consumption data × (1 + 20%), the equipment is judged to be operating normally;

[0170] If the target power consumption data ≥ the analyzed power consumption data × (1 + 20%), the load data of the target device is obtained and determined as the target load data, where the load data is the load amount of the device;

[0171] Setting analytical load data, wherein the analytical load data is the maximum load that the equipment can bear when operating normally;

[0172] If the target load data is less than the analysis load data × (1 + 20%), the equipment is judged to be operating abnormally, that is, the abnormal power consumption of the equipment may be caused by damage to the equipment itself, and the equipment needs to be further repaired or replaced;

[0173] If the target load data ≥ the analyzed load data × (1 + 20%), then obtain the backup equipment within the target range;

[0174] Obtain all lines in the target load data and define them as target lines;

[0175] Obtaining energy consumption data corresponding to each target line, which is defined as line energy consumption data, wherein the energy consumption data is the load of the line;

[0176] Sort all target lines according to the values ​​of line energy consumption data from large to small to form an energy consumption order set;

[0177] Taking the first element in the energy consumption sequence set as the starting element, sequentially superimpose and select backward and calculate the total energy consumption value of the line energy consumption data of all the selected elements;

[0178] Extract all elements whose total energy consumption value is ≤ analyzed load data × (1-20%) and whose number is the largest and have been selected to form a first energy consumption set;

[0179] Calculate the second energy consumption set, where the second energy consumption set = energy consumption sequence set - first energy consumption set;

[0180] Adjusting and connecting all elements in the second energy consumption set to the backup device;

[0181] Obtain target power consumption data again;

[0182] If the target power consumption data is less than the analyzed power consumption data × (1 + 20%), the equipment is judged to be operating normally, that is, the abnormal power consumption data of the equipment is caused by excessive load, and the equipment itself is not damaged;

[0183] If the target power consumption data ≥ analyzed power consumption data × (1 + 20%), the equipment is judged to be operating abnormally, that is, the abnormal power consumption data of the equipment may be caused by damage to the equipment itself, and the equipment needs to be further inspected or replaced.

[0184] This embodiment also provides that the regional device analysis strategy is specifically:

[0185] Get all devices within the target range to form a device set;

[0186] Identify each element in the device set as a target device in turn;

[0187] Execute device operation analysis strategy on target devices;

[0188] If all elements in the device set are in normal operation, the target monitoring point is considered normal;

[0189] If there are elements with abnormal equipment operation in the equipment set, the target monitoring point is determined to be abnormal;

[0190] The devices corresponding to the elements with abnormal device operation are extracted and identified as abnormal devices.

[0191] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. In this embodiment, the impact analysis strategy is specifically as follows:

[0192] Obtain target monitoring points and analysis quantities;

[0193] Get the monitoring point set;

[0194] The set of monitoring points without the target monitoring point is defined as the analysis set;

[0195] Get the analysis distance;

[0196] Each element in the analysis set is identified as an analysis monitoring point in turn;

[0197] The analysis range is formed with the analysis monitoring point as the center point and the analysis distance as the radius;

[0198] Get the number of devices within the analysis scope and set it as the number of analyzed devices;

[0199] If the number of analyses ≥ the number of analytical devices × (1 + 50%), the number of judged devices differs greatly;

[0200] If the number of analyses is less than the number of analytical equipment × (1 + 50%), the difference in the number of judged equipment is small;

[0201] Get the number of elements in the analysis set and set it as the number of analysis elements;

[0202] Obtain the number of elements in the analysis set whose number of judged devices differs greatly, and define it as the difference number;

[0203] If the number of phase differences is ≥ the number of analyzed elements × 80%, the heat dissipation analysis strategy is executed, that is, the temperature anomaly collected at the target monitoring point may be due to the large number of devices in the area, resulting in slow heat dissipation, which makes the temperature anomaly collected at the target monitoring point;

[0204] If the number of phase differences is less than the number of analyzed elements × 80%, the environmental analysis strategy is executed, that is, the temperature anomaly collected at the target monitoring point may be due to the equipment failure at other monitoring points that generates a large amount of heat, which is then affected by the wind at the time, causing the heat to diffuse to the target monitoring point, resulting in the temperature anomaly collected at the target monitoring point.

[0205] The heat dissipation analysis strategy is specifically as follows:

[0206] Get the target scope and number of analyses;

[0207] If the number of analyses is ≤1, the environmental analysis strategy is executed, that is, the temperature anomaly collected at the target monitoring point is not caused by a large number of devices in the area and slow heat dissipation, but may be caused by a large amount of heat generated by equipment failure at other monitoring points, which is then affected by the wind and diffused to the target monitoring point, causing the temperature anomaly collected at the target monitoring point;

[0208] If the number of analyses is greater than 1, then the device set is obtained;

[0209] Get the position of each element in the device collection and set it as the device position;

[0210] Each device position is matched with each element in the device set one by one to form a position set;

[0211] Identify each element in the position set as the target element in turn, and execute S1-S10;

[0212] Obtain the number of elements in the position set that determine that the target element has poor heat dissipation, and define it as the heat dissipation number;

[0213] Get the number of elements in the location set and define it as the number of regional devices;

[0214] If the heat dissipation quantity is ≥ the number of regional devices × 40%, the impact analysis data is determined to be environmental impact, and it is indicated that the devices in the region are densely populated, that is, the abnormal temperature collected by the target monitoring point is due to the large number of devices in the region and the close distance between the devices, resulting in slow heat dissipation, which makes the temperature collected by the target monitoring point abnormal;

[0215] If the heat dissipation quantity is less than the number of regional devices × 40%, the environmental analysis strategy is executed;

[0216] The S1-S10 are specifically:

[0217] S1, the position set of the target element is removed and is defined as the analysis element set;

[0218] S2, extracting each element in the analysis element set in turn and defining them as analysis elements;

[0219] S3, obtaining the distance between the target element and the analysis element, and setting it as the analysis determination distance;

[0220] S4. Setting a determination distance, wherein the determination distance is the minimum distance between the device and other devices during normal operation and heat dissipation recommended by the factory when the device leaves the factory;

[0221] S5. If the analysis determination distance is less than the determination distance, the determination distance is too close;

[0222] S6. If the analysis determination distance ≥ the determination distance, the determination distance is normal;

[0223] S7, obtaining the number of elements in the analysis element set that are judged to be too close, and defining it as the too close number;

[0224] S8, obtaining the number of elements in the analysis element set and setting it as the determination number;

[0225] S9. If the number of close proximity is ≥ the number of determination × 40%, it is determined that the heat dissipation of the target element is not smooth;

[0226] S10. If the number of too close is less than the determination number × 40%, it is determined that the heat dissipation of the target element is smooth.

[0227] This embodiment also provides that the environment analysis strategy is specifically:

[0228] Obtain the position of the target monitoring point and set it as the target monitoring position;

[0229] Get the monitored temperature set;

[0230] The monitoring temperature set without the target monitoring point is defined as the analysis monitoring set;

[0231] Obtain the position of each element in the analysis monitoring set and define it as the analysis monitoring position;

[0232] Obtaining wind data in a target area and defining it as target wind data, wherein the wind data is a wind speed value in the target area;

[0233] Setting determination wind force data, wherein the determination wind force data is a minimum wind speed value that can cause the temperature at one location to diffuse and move to another location;

[0234] If the target wind data is less than or equal to the determined wind data, the impact analysis data is equipment impact, and it is indicated that there is equipment abnormality in the target monitoring point;

[0235] Extract the device set, and identify all elements in the device set as faulty devices;

[0236] If the target wind data is greater than the determined wind data, the ambient temperature within the target range is obtained and determined as the target ambient temperature;

[0237] Obtain the device temperature corresponding to all devices in the target range at the target ambient temperature, and define it as the heat dissipation temperature, wherein the device temperature is the highest temperature of the device when it operates normally at the rated maximum load at the ambient temperature;

[0238] If the monitoring temperature of the target monitoring point is ≥ the heat dissipation temperature × (1-10%), the impact analysis data is determined to be environmental impact, and it is prompted that the ambient temperature in the target range is too high, that is, the temperature abnormality collected by the target monitoring point is due to the high ambient temperature in the area, which causes the equipment to dissipate heat slowly, thus making the temperature collected by the target monitoring point abnormal;

[0239] If the monitoring temperature of the target monitoring point is less than the heat dissipation temperature × (1-10%), the wind analysis strategy is executed.

[0240] The wind analysis strategy is specifically as follows:

[0241] Obtain target wind data;

[0242] Obtain the time when the temperature of the target monitoring point is judged to be abnormal, and define it as the abnormal time;

[0243] Obtain all the time when the temperature of the target monitoring point is judged to be normal, and define it as the analysis time;

[0244] Calculate the interval between each analysis time and abnormal time, interval time = abnormal time - analysis time;

[0245] The analysis time corresponding to the interval duration with the smallest value is extracted and determined as the judgment time;

[0246] Calculate the farthest diffusion distance, farthest diffusion distance = (abnormal time - judgment time) × target wind data;

[0247] Get the target monitoring position;

[0248] Obtain the wind direction in the target area and set it as the target wind direction;

[0249] The target monitoring position is taken as the origin, the opposite direction of the target wind direction is taken as the reference direction, and the farthest diffusion distance is taken as the vector length to form the analysis direction;

[0250] Get the analysis monitoring collection;

[0251] Identify each element in the analytical monitoring set as an analytical monitoring element in turn;

[0252] Taking the position of the element being analyzed and monitored as the origin, draw a vertical line in the direction of analysis, which is defined as the analysis vertical line;

[0253] Obtain the length of the analysis vertical line and define it as the analysis monitoring distance;

[0254] All elements in the analysis and monitoring set are sorted from small to large according to the value of the analysis and monitoring distance to form an analysis sequence set;

[0255] Obtain the distance between each element in the analysis sequence set and the target monitoring position, and define it as the determination monitoring distance;

[0256] All elements in the analysis sequence set are sorted from small to large according to the value of the determination monitoring distance to form a determination sequence set;

[0257] Each element in the judgment sequence set is identified as a target monitoring point in turn, and an abnormal analysis strategy is executed;

[0258] If all elements in the determination sequence set determine that the target monitoring point is normal, the impact analysis data is determined to be equipment impact, and it is prompted that equipment abnormalities exist in the target monitoring point and the monitoring points corresponding to all elements in the determination sequence set;

[0259] Extract the determination sequence set, and define the target monitoring point and all elements in the determination sequence set as fault elements;

[0260] All devices corresponding to each faulty element are identified as faulty devices;

[0261] If there is an element in the determination sequence set that determines that the target monitoring point is abnormal, the impact analysis data is determined to be equipment impact, and it is prompted that there is equipment abnormality in the monitoring point corresponding to the element in the determination sequence set that determines that the target monitoring point is abnormal;

[0262] Extract the elements in the judgment sequence set that determine the target monitoring point to be abnormal and define them as fault elements;

[0263] The abnormal device corresponding to the fault element is identified as the faulty device.

[0264] Embodiment 4: This embodiment also discloses a system for executing a method for wirelessly measuring electrical quantities in a substation. Figure 2 ,include:

[0265] Acquisition module: used to obtain temperature data of each monitoring point in the target area;

[0266] Analysis module: used to analyze whether the temperature of each monitoring point in the target area is abnormal;

[0267] Determination module: used to determine whether the equipment in the monitoring point with abnormal temperature is working abnormally;

[0268] Maintenance module: used to perform maintenance on equipment within monitoring points with abnormal temperatures.

[0269] In this embodiment, based on the temperature of each monitoring point in the area, it is determined whether there is any abnormality in the equipment within the range of the monitoring point. Based on the operating conditions of the equipment within the range of the monitoring point with the abnormal temperature, it is determined whether the abnormal temperature at the monitoring point is caused by environmental factors. Based on the environmental factors, the actual collection points where the equipment failure exists and the faulty equipment are determined, and the faulty equipment is found and determined in time to avoid the equipment from being kept running for a long time in an incorrect way of use, thereby extending the service life of the equipment and improving the reliable operation of the substation and even the power grid.

Claims

1. A method for wirelessly measuring electrical quantities in a substation, characterized in that: include: Obtain all monitoring points in the target area to form a monitoring point set; Obtain the temperature data of each monitoring point and set it as the monitoring temperature; The monitored temperature of each monitoring point is matched one by one with each element in the monitoring point set to form a monitoring temperature set; Set safe temperature; If the monitored temperature ≥ the safe temperature, the temperature is considered abnormal; If the monitored temperature is less than the safe temperature, the temperature is considered normal; The monitoring point where the temperature is judged to be abnormal is defined as an abnormal monitoring point; If there is no abnormal monitoring point in the monitoring temperature set, it is determined that the equipment in the target area is working normally; If there is an abnormal monitoring point in the monitoring temperature set, the abnormal monitoring point is identified as the target monitoring point, and the abnormal analysis strategy is executed to form abnormal analysis data; If the abnormal analysis data shows that the target monitoring point is abnormal, the abnormal equipment is extracted and repaired or replaced; If the abnormal analysis data shows that the target monitoring point is normal, the impact analysis strategy is executed to form the impact analysis data; If the impact analysis data is environmental impact, it is determined that the equipment in the target area is operating normally; If the impact analysis data is equipment impact, the faulty equipment is extracted and repaired.

2. A method for wirelessly measuring electrical quantities in a substation according to claim 1, characterized in that: The abnormal analysis strategy is specifically: Get the target monitoring point; Set the analysis distance; The target monitoring point is taken as the center point and the analysis distance is taken as the radius to form the target range; Obtain the equipment within the target range and define it as the analysis equipment; Get the number of analytical devices and set it as the number of analyses; If the number of analyses = 0, the target monitoring point is judged to be normal; If the number of analyses = 1, the device is identified as a target device and the device operation analysis strategy is executed; If the equipment operates normally, the target monitoring point is judged to be normal; If the device operates abnormally, the device is determined to be an abnormal device; If the number of analyses is greater than 1, the regional equipment analysis strategy is executed.

3. A method for wirelessly measuring electrical quantities in a substation according to claim 2, characterized in that: The device operation analysis strategy is specifically: Obtaining power consumption data of a target device and setting it as target power consumption data; Set and analyze electricity consumption data; If the target power consumption data < the analyzed power consumption data × (1 + 20%), the equipment is judged to be operating normally; If the target power consumption data ≥ the analyzed power consumption data × (1 + 20%), the load data of the target device is obtained and set as the target load data; Set analysis load data; If the target load data is less than the analyzed load data × (1 + 20%), the equipment is judged to be operating abnormally; If the target load data ≥ the analyzed load data × (1 + 20%), then obtain the backup equipment within the target range; Obtain all lines in the target load data and define them as target lines; Obtain energy consumption data corresponding to each target line and define it as line energy consumption data; Sort all target lines according to the values ​​of line energy consumption data from large to small to form an energy consumption order set; Taking the first element in the energy consumption sequence set as the starting element, sequentially superimpose and select backward and calculate the total energy consumption value of the line energy consumption data of all the selected elements; Extract all elements whose total energy consumption value is ≤ analyzed load data × (1-20%) and whose number is the largest and have been selected to form a first energy consumption set; Calculate the second energy consumption set, where the second energy consumption set = energy consumption sequence set - first energy consumption set; Adjusting and connecting all elements in the second energy consumption set to the backup device; Obtain target power consumption data again; If the target power consumption data < the analyzed power consumption data × (1 + 20%), the equipment is judged to be operating normally; If the target power consumption data ≥ analyzed power consumption data × (1 + 20%), the equipment is judged to be operating abnormally.

4. A method for wirelessly measuring electrical quantities in a substation according to claim 3, characterized in that: The regional equipment analysis strategy is specifically: Get all devices within the target range to form a device set; Identify each element in the device set as a target device in turn; Execute device operation analysis strategy on target devices; If all elements in the device set are in normal operation, the target monitoring point is considered normal; If there are elements with abnormal equipment operation in the equipment set, the target monitoring point is determined to be abnormal; The devices corresponding to the elements with abnormal device operation are extracted and identified as abnormal devices.

5. A method for wirelessly measuring electrical quantities in a substation according to claim 2, characterized in that: The impact analysis strategy is specifically: Obtain target monitoring points and analysis quantities; Get the monitoring point set; The set of monitoring points without the target monitoring point is defined as the analysis set; Get the analysis distance; Each element in the analysis set is identified as an analysis monitoring point in turn; The analysis range is formed with the analysis monitoring point as the center point and the analysis distance as the radius; Get the number of devices within the analysis scope and define it as the number of analyzed devices; If the number of analyses ≥ the number of analytical devices × (1 + 50%), the number of judged devices differs greatly; If the number of analyses is less than the number of analytical equipment × (1 + 50%), the difference in the number of judged equipment is small; Get the number of elements in the analysis set and set it as the number of analysis elements; Obtain the number of elements in the analysis set whose number of judged devices differs greatly, and define it as the difference number; If the number of phase differences is ≥ the number of analyzed elements × 80%, the heat dissipation analysis strategy is executed; If the difference is less than the number of analyzed elements × 80%, the environmental analysis strategy is executed.

6. A method for wirelessly measuring electrical quantities in a substation according to claim 5, characterized in that: The heat dissipation analysis strategy is specifically as follows: Get the target scope and number of analyses; If the number of analyses is ≤1, the environmental analysis strategy is executed; If the number of analyses is greater than 1, then the device set is obtained; Get the position of each element in the device collection and set it as the device position; Each device position is matched with each element in the device set one by one to form a position set; Identify each element in the position set as the target element in turn, and execute S1-S10; Obtain the number of elements in the position set that determine that the target element has poor heat dissipation, and define it as the heat dissipation number; Get the number of elements in the location set and define it as the number of regional devices; If the heat dissipation quantity ≥ the number of devices in the area × 40%, the impact analysis data is determined to be environmental impact, and it is indicated that the devices in the area are densely populated; If the heat dissipation quantity is less than the number of regional devices × 40%, the environmental analysis strategy is executed; The S1-S10 are specifically: S1, the position set of the target element is removed and is defined as the analysis element set; S2, extracting each element in the analysis element set in turn and defining them as analysis elements; S3, obtaining the distance between the target element and the analysis element, and setting it as the analysis determination distance; S4, setting the judgment distance; S5. If the analysis determination distance is less than the determination distance, the determination distance is too close; S6. If the analysis determination distance ≥ the determination distance, the determination distance is normal; S7, obtaining the number of elements in the analysis element set that are judged to be too close, and defining it as the too close number; S8, obtaining the number of elements in the analysis element set and setting it as the determination number; S9. If the number of close proximity is ≥ the number of determination × 40%, it is determined that the heat dissipation of the target element is not smooth; S10. If the number of too close is less than the determination number × 40%, it is determined that the heat dissipation of the target element is smooth.

7. A method for wirelessly measuring electrical quantities in a substation according to claim 6, characterized in that: The environmental analysis strategy is specifically: Obtain the position of the target monitoring point and set it as the target monitoring position; Get the monitored temperature set; The monitoring temperature set without the target monitoring point is defined as the analysis monitoring set; Obtain the position of each element in the analysis monitoring set and define it as the analysis monitoring position; Obtain wind data in a target area and set it as target wind data; Set and determine wind force data; If the target wind data is less than or equal to the determined wind data, the impact analysis data is equipment impact, and it is indicated that there is equipment abnormality in the target monitoring point; Extract the device set, and identify all elements in the device set as faulty devices; If the target wind data is greater than the determined wind data, the ambient temperature within the target range is obtained and determined as the target ambient temperature; Obtain the device temperature corresponding to the target ambient temperature for all devices within the target range, and define it as the heat dissipation temperature; If the monitoring temperature of the target monitoring point is ≥ the heat dissipation temperature × (1-10%), the impact analysis data is determined to be environmental impact, and it is prompted that the ambient temperature within the target range is too high; If the monitoring temperature of the target monitoring point is less than the heat dissipation temperature × (1-10%), the wind analysis strategy is executed.

8. A method for wirelessly measuring electrical quantities in a substation according to claim 7, characterized in that: The wind analysis strategy is specifically as follows: Obtain target wind data; Obtain the time when the temperature of the target monitoring point is judged to be abnormal, and define it as the abnormal time; Obtain all the time when the temperature of the target monitoring point is judged to be normal, and define it as the analysis time; Calculate the interval between each analysis time and abnormal time, interval time = abnormal time - analysis time; The analysis time corresponding to the interval duration with the smallest value is extracted and determined as the judgment time; Calculate the farthest diffusion distance, farthest diffusion distance = (abnormal time - judgment time) × target wind data; Get the target monitoring position; Obtain the wind direction in the target area and set it as the target wind direction; The target monitoring position is taken as the origin, the opposite direction of the target wind direction is taken as the reference direction, and the farthest diffusion distance is taken as the vector length to form the analysis direction; Get the analysis monitoring collection; Identify each element in the analytical monitoring set as an analytical monitoring element in turn; Taking the position of the element being analyzed and monitored as the origin, draw a vertical line in the direction of analysis, which is defined as the analysis vertical line; Obtain the length of the analysis vertical line and define it as the analysis monitoring distance; All elements in the analysis and monitoring set are sorted from small to large according to the value of the analysis and monitoring distance to form an analysis sequence set; Obtain the distance between each element in the analysis sequence set and the target monitoring position, and define it as the determination monitoring distance; All elements in the analysis sequence set are sorted from small to large according to the value of the determination monitoring distance to form a determination sequence set; Each element in the judgment sequence set is identified as a target monitoring point in turn, and an abnormal analysis strategy is executed; If all elements in the determination sequence set determine that the target monitoring point is normal, the impact analysis data is determined to be equipment impact, and it is prompted that equipment abnormalities exist in the target monitoring point and the monitoring points corresponding to all elements in the determination sequence set; Extract the determination sequence set, and define the target monitoring point and all elements in the determination sequence set as fault elements; All devices corresponding to each faulty element are identified as faulty devices; If there is an element in the determination sequence set that determines that the target monitoring point is abnormal, the impact analysis data is determined to be equipment impact, and it is prompted that there is equipment abnormality in the monitoring point corresponding to the element in the determination sequence set that determines that the target monitoring point is abnormal; Extract the elements in the judgment sequence set that determine the target monitoring point to be abnormal and define them as fault elements; The abnormal device corresponding to the fault element is identified as the faulty device.

9. A system for executing the wireless measurement method of electrical quantities in a substation according to claim 1, characterized in that: include: Acquisition module: used to obtain temperature data of each monitoring point in the target area; Analysis module: used to analyze whether the temperature of each monitoring point in the target area is abnormal; Determination module: used to determine whether the equipment in the monitoring point with abnormal temperature is working abnormally; Maintenance module: used to perform maintenance on equipment within monitoring points with abnormal temperatures.

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