An infrared imaging detection method and system for power equipment

Abstract

The application relates to the technical field of imaging detection, in particular to an infrared imaging detection method and system for power equipment. The application first acquires a normal working temperature range of the equipment and actual temperature values of each region in an infrared image; then analyzes the equipment state according to the standard range and the actual values, analyzes the abnormal heat region through image cutting and analysis, and obtains temperature rise reason parameters; then performs cooling compensation analysis on the local heat region, and obtains compensation parameters; finally, adjusts the cooling capacity of the region according to the compensation parameters, and issues the cooling process parameters to a control system for execution; the obtained infrared image is analyzed and processed, the temperature rise reason parameters causing the local hot spot are accurately positioned; then the local heat region is analyzed for cooling compensation, and targeted cooling process parameters are generated; finally, the parameters are issued to the equipment control system, the cooling capacity and the cooling mode of the corresponding region are automatically adjusted, so that accurate and efficient active cooling is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of imaging detection, and in particular to an infrared imaging detection method and system for power equipment. BACKGROUND

[0002] With the continuous development of the power system, the operation state monitoring and fault prevention of large power equipment such as transformers, generators, and transmission lines have been increasingly valued. These devices are prone to safety hazards such as insulation breakdown and component burnout due to local thermal runaway during long-term operation, which poses a serious threat to the equipment itself and the entire power system. Therefore, timely detection and resolution of local hot spots are crucial to ensuring the reliable operation of power equipment.

[0003] In the prior art, infrared thermal imaging technology is usually used for online thermal monitoring of power equipment. By comparing the acquired infrared image with the standard temperature range of the equipment, an abnormally high temperature area can be preliminarily determined. However, due to the complexity of factors affecting temperature, simple thermal imaging cannot pinpoint the specific cause of local hot spots, and effective cooling measures cannot be targeted. Moreover, power equipment has different requirements for cooling measures at different temperature rise stages, and a single emergency measure cannot meet the precise temperature control requirements. Therefore, further improvement is needed. SUMMARY

[0004] To solve the problem that existing power equipment thermal monitoring methods cannot develop effective cooling measures, the present application provides an infrared imaging detection method and system for power equipment, which adopts the following technical solution:

[0005] In a first aspect, the present application provides an infrared imaging detection method for power equipment, comprising the following steps:

[0006] Obtaining a standard temperature range of the power equipment when it is working normally and actual temperature values of each region in the infrared thermal image;

[0007] Analyzing the device operating state according to the standard temperature range and the actual temperature values of the corresponding regions to obtain an operating state analysis result;

[0008] According to the operating state analysis result, performing image cutting processing on the infrared thermal image and directional temperature rise cause analysis on the local hot region with temperature abnormalities to obtain corresponding temperature rise cause parameters;

[0009] According to the temperature rise cause parameters, performing cooling compensation analysis on the local hot region to obtain cooling compensation parameters;

[0010] Adjust the compensation cooling amount of the local hot area according to the temperature drop compensation parameter, and generate and send the temperature drop process parameter of the local hot area to the device control system according to the adjusted compensation cooling amount.

[0011] By adopting the technical scheme, the normal working temperature range of the device and the actual temperature value of each region in the infrared image are first acquired; then the device state is analyzed according to the standard range and the actual value, the abnormal hot region is analyzed by the image cutting technology, and the temperature rise reason parameter is obtained; then the local hot region is analyzed according to the compensation parameter, and the compensation parameter is obtained; finally, the cooling amount of the region is adjusted according to the compensation parameter, and the temperature drop process parameter is sent to the control system for execution; the acquired infrared image is analyzed and processed, the temperature rise reason parameter causing the local hot spot is accurately positioned; then the local hot region is analyzed according to the compensation parameter, and the targeted temperature drop process parameter is generated; finally, the parameters are sent to the device control system, and the cooling amount and the cooling mode of the corresponding region are automatically adjusted, so that the active cooling is realized accurately and efficiently.

[0012] Optionally, the device running state is analyzed according to the standard temperature range and the actual temperature value of the corresponding region, and a running state analysis result is obtained, specifically including the following steps:

[0013] According to the difference between the standard temperature range and the actual temperature value of the corresponding region, the temperature deviation amount of each region is calculated;

[0014] According to the preset temperature rating standard, the temperature deviation amount of each region is mapped to the corresponding temperature rise risk level;

[0015] According to the temperature rise risk level of each region, the comprehensive temperature rise risk level of the power device is estimated in combination with the region importance weight;

[0016] According to the comprehensive temperature rise risk level, the current running state analysis result of the device is obtained by comparing with the preset running state rating standard.

[0017] By adopting the technical scheme, since the temperature deviation of different regions and the importance difference of these regions, it is difficult to comprehensively evaluate the comprehensive running risk state of the power device only by detecting the abnormally high temperature, the temperature deviation amount of each region is first calculated according to the standard temperature range and the actual value, and then the deviation amount is mapped to the corresponding temperature rise risk level; then the comprehensive temperature rise risk level of the device is estimated in combination with the importance weight of each region; finally, the current running state analysis result of the device is obtained by comparing with the preset rating standard according to the comprehensive risk level, so that the current running risk condition is more scientifically and objectively evaluated, and the safe and reliable running of the power device is ensured.

[0018] Optionally, according to the operation state analysis result, the infrared thermal imaging is subjected to image cutting processing, directional temperature rise reason analysis is performed on the local hot area with temperature anomaly, and corresponding temperature rise reason parameters are obtained, and the specific steps include the following steps:

[0019] According to the operation state analysis result, the temperature difference degree between adjacent areas is obtained.

[0020] According to the temperature difference degree, the infrared thermal imaging is subjected to image cutting, and local hot areas with similar temperatures are generated.

[0021] The local hot area with a temperature higher than a preset temperature threshold is marked as abnormal, and the abnormal hot area after marking is subjected to temperature rise reason analysis, and temperature rise reason parameters of the abnormal hot area are obtained.

[0022] By adopting the above technical solution, since different components and areas of the power equipment have differences in structure and function, the reasons for causing local hot spots are also different, in order to accurately locate the temperature rise reason of each abnormal hot area, and accordingly formulate targeted cooling compensation measures; the present application first divides the infrared image according to the temperature difference between adjacent areas, generates local hot areas with similar temperatures, and then analyzes the abnormal hot area with a temperature higher than the threshold, and obtains the inducement parameters of the temperature rise.

[0023] Optionally, the compensation cooling amount of the local hot area is adjusted according to the cooling compensation parameter, and the cooling process parameter of the local hot area is generated and sent to the device control system according to the adjusted compensation cooling amount, and the specific steps include the following steps:

[0024] According to the cooling compensation parameter, the cooling performance and the corresponding cooling amount of the current cooling means are obtained, and the current cooling intensity of the current cooling means is analyzed according to the cooling performance and the cooling amount.

[0025] The cooling parameter difference between the cooling compensation parameter and the current cooling intensity is calculated, and the compensation cooling amount of the local hot area is adjusted according to the cooling parameter difference;

[0026] The current temperature distribution of the local hot area is obtained, the superimposed cooling effect of each compensation cooling means on the current temperature distribution is analyzed layer by layer, and the superimposed cooling sequence is obtained.

[0027] According to the compensation cooling amount and the superimposed cooling sequence, the original cooling process of the local hot area is subjected to process parameter adjustment, and the corresponding cooling process parameter of the local hot area is generated.

[0028] By adopting the technical scheme, in the power equipment, taking a large transformer as an example, when an abnormal high temperature appears in a local area such as an iron core, the temperature rise can be divided into three stages, and the cooling demand of each stage is different; when the hotspot temperature rapidly rises to an extreme high temperature state of more than 600 DEG C, at this time, strong instantaneous cooling measures such as liquid nitrogen cooling, phase change wax tank heat extraction and the like need to be taken immediately, so as to quickly reduce the temperature to a safe range, and avoid further aggravating to cause insulation damage or permanent damage, and a single conventional water cooling or air cooling is not enough to be rapid; after emergency cooling, when the hotspot temperature is reduced to the interval of 300-500 DEG C, at this time, a relatively mild but continuous cooling mode such as enhanced water cooling circulation, spraying heat dissipation and the like is needed, so as to avoid temperature rebound, and if the extremely low temperature source is still directly used, a large temperature difference will appear, thermal expansion and cold contraction will occur, and a new safety hazard will be caused; when the temperature is further reduced to the normal working range of 100-200 DEG C, at this time, fine temperature control measures such as precise temperature control water cooling, low-power pulse cooling and the like are needed, so as to keep the temperature of the local hot area at a reasonable constant value, and avoid repeated fluctuations; other power equipment is also the same; since different cooling means have differences in cooling performance and action time sequence, a single certain measure is difficult to accurately meet the actual cooling demand of the abnormal hot area, the cooling parameter difference between the cooling compensation parameter and the current cooling intensity is calculated first, and the compensation cooling amount of the local hot area is adjusted; then the superposition effect of various compensation means on the current temperature distribution is analyzed, and the best superposition order is obtained; finally, according to the adjusted cooling amount and the superposition order, the original process is adjusted in parameters, the cooling process parameter for the hot area is generated, the scientificity and pertinence of the process parameter adjustment are ensured, and the further improvement of the cooling precision is beneficial.

[0029] Optionally, the cooling parameter difference between the cooling compensation parameter and the current cooling intensity is calculated, and the compensation cooling amount of the local hot area is adjusted according to the cooling parameter difference, and the specific steps include the following steps:

[0030] According to the cooling parameter difference between the cooling compensation parameter and the current cooling intensity, the actual cooling rate of the current cooling means on the local hot area is calculated;

[0031] The target cooling rate of the local hot area under the current working condition is obtained;

[0032] According to the difference between the actual cooling rate and the target cooling rate, the cooling compensation demand of the local hot area is evaluated;

[0033] According to the cooling compensation demand, the compensation cooling amount of each compensation cooling means of the local hot area is adjusted.

[0034] By adopting the technical scheme, since the cooling demand of the abnormal heat area under different working conditions is dynamically changed, a single cooling intensity cannot meet the requirement of real-time adjustment; the application first calculates the actual cooling rate according to the difference between the cooling compensation parameter and the current cooling intensity; then obtains the target cooling rate under the current working condition, and the difference between the two is the cooling compensation demand; finally, the compensation cooling amount of each method is dynamically adjusted according to the demand.

[0035] Optionally, according to the compensation cooling amount and the superimposed cooling sequence, the original cooling process parameter of the local heat area is adjusted to generate the cooling process parameter corresponding to the local heat area, specifically including the following steps:

[0036] According to the current environmental condition, the unit time cooling amount of each compensation cooling method is obtained;

[0037] Based on the difference between the unit time cooling amount and the compensation cooling amount, the running time of each compensation cooling method is calculated;

[0038] According to the running time and the superimposed cooling sequence, the starting time interval of adjacent compensation cooling methods is determined;

[0039] According to the starting time interval, the original cooling process parameter of the local heat area is adjusted to generate the cooling process parameter corresponding to the local heat area.

[0040] By adopting the technical scheme, the application first comprehensively analyzes the unit cooling amount of each compensation cooling method and the ideal compensation cooling demand, and calculates the specific running time of each method according to the unit cooling amount and the ideal compensation cooling demand; then, the optimal starting time interval of adjacent methods is determined in combination with the superimposed sequence; finally, the original process parameter is adjusted according to the time interval to generate new process parameters that meet the actual demand of the heat area, so as to accurately control the temperature of the abnormal heat area and avoid further expansion of the overheating phenomenon.

[0041] In a second aspect, the application provides an infrared imaging detection system for a power device, comprising:

[0042] An actual temperature value acquisition module is configured to acquire a standard temperature range when the power device is normally working and an actual temperature value of each area in an infrared thermal image;

[0043] A state analysis result acquisition module is configured to analyze the running state of the device according to the standard temperature range and the actual temperature value of the corresponding area, and obtain a running state analysis result;

[0044] The temperature rise reason parameter acquisition module is configured to perform image cutting processing on the infrared thermal image according to the operation state analysis result, perform directional temperature rise reason analysis on the local hot area with temperature anomaly, and obtain corresponding temperature rise reason parameters.

[0045] The temperature drop compensation parameter acquisition module is configured to perform temperature drop compensation analysis on the local hot area according to the temperature rise reason parameters, and obtain temperature drop compensation parameters.

[0046] The temperature drop process parameter generation module is configured to adjust the compensation cooling amount of the local hot area according to the temperature drop compensation parameters, and generate and send, to a device control system, temperature drop process parameters of the local hot area according to the adjusted compensation cooling amount.

[0047] Optionally, the state analysis result acquisition module comprises:

[0048] The temperature deviation amount calculation unit is configured to calculate the temperature deviation amount of each region according to a difference between the standard temperature range and an actual temperature value of the corresponding region.

[0049] The temperature rise risk level mapping unit is configured to map the temperature deviation amount of each region to a corresponding temperature rise risk level according to a preset temperature rating standard.

[0050] The temperature rise risk level estimation unit is configured to estimate a comprehensive temperature rise risk level of the power device according to the temperature rise risk level of each region and in combination with a region importance weight.

[0051] The state analysis result acquisition unit is configured to obtain a current operation state analysis result of the device by comparing the comprehensive temperature rise risk level with a preset operation state rating standard.

[0052] In a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the infrared imaging detection method for a power device.

[0053] In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executable by a processor to implement the steps of the infrared imaging detection method for a power device.

[0054] In summary, the present application has at least one of the following beneficial technical effects:

[0055] 1. The application first acquires the normal working temperature range of the equipment and the actual temperature value of each region in the infrared image; then analyzes the equipment state according to the standard range and the actual value, and analyzes the abnormal hot region through image cutting technology to obtain the temperature rise reason parameter; then analyzes the local hot region according to the parameter to obtain the compensation parameter; finally, the cooling capacity of the region is adjusted according to the compensation parameter, and the cooling process parameter is sent to the control system for execution; the temperature rise reason parameter causing the local hot spot is accurately positioned by analyzing and processing the obtained infrared image; then the local hot region is analyzed for cooling compensation according to the parameter, and the corresponding cooling process parameter is generated; finally, the parameters are sent to the equipment control system to automatically adjust the cooling capacity and cooling mode of the corresponding region, so that accurate and efficient active cooling is realized;

[0056] 2. Due to the temperature deviation of different regions and the importance difference of these regions, it is difficult to comprehensively evaluate the comprehensive operation risk state of the power equipment only by detecting the abnormally high temperature. The application first calculates the temperature deviation of each region according to the standard temperature range and the actual value, and then maps the deviation to the corresponding temperature rise risk level; then, combined with the importance weight of each region, the comprehensive temperature rise risk level of the equipment is estimated; finally, according to the comprehensive risk level, the preset rating standard is checked to obtain the current operation state analysis result of the equipment, which more scientifically and objectively evaluates the current operation risk condition, and ensures the safe and reliable operation of the power equipment;

[0057] 3. The application first calculates the cooling parameter difference according to the cooling compensation parameter and the current cooling intensity, and adjusts the compensation cooling capacity of the local hot region; then analyzes the superposition effect of various compensation means on the current temperature distribution to obtain the best superposition order; finally, according to the adjusted cooling capacity and the superposition order, the original process parameter is adjusted to generate the cooling process parameter for the hot region, which ensures the scientificity and pertinence of the process parameter adjustment, and is beneficial to further improve the cooling precision. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a flowchart of an infrared imaging detection method for power equipment according to an embodiment of the application;

[0059] Figure 2 is a flowchart of step S200 in an infrared imaging detection method for power equipment according to an embodiment of the application;

[0060] Figure 3 is a flowchart of step S300 in an infrared imaging detection method for power equipment according to an embodiment of the application;

[0061] Figure 4is a flowchart of step S400 in an embodiment of the infrared imaging detection method for power equipment;

[0062] Figure 5 is a flowchart of step S420 in an embodiment of the infrared imaging detection method for power equipment;

[0063] Figure 6 is a flowchart of step S440 in an embodiment of the infrared imaging detection method for power equipment;

[0064] Figure 7 is a module diagram of an embodiment of the infrared imaging detection system for power equipment;

[0065] Figure 8 is an internal structure diagram of an embodiment of the electronic device. DETAILED DESCRIPTION

[0066] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to be limiting of the present application. As used in the specification and the appended claims of the present application, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or," as used in the present application, refers to any or all possible combinations of one or more of the associated listed items.

[0067] Hereinafter, the terms "first" and "second" are used only for the purpose of description and should not be understood as implying or suggesting relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0068] The embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0069] In a first aspect, the present application provides an infrared imaging detection method for power equipment, referring to Figure 1 , comprising the following steps:

[0070] S100, obtaining a standard temperature range and an actual temperature value of each region in an infrared thermal image when the power equipment is working normally.

[0071] In this embodiment, the standard temperature range is a safe operating temperature range determined in advance according to design parameters, use environment and other factors of the power equipment; the infrared thermal image is obtained by an infrared thermal imager on the device on the power equipment.

[0072] Specifically, by consulting the technical manual of the power equipment or consulting the manufacturer, the standard temperature range of the equipment under different working modes is obtained, such as the safe temperature range of the transformer core under rated load is 20-80℃. At the same time, the infrared thermal imager arranged on the transformer shell will periodically perform thermal imaging scanning on each part of the transformer to obtain the actual temperature value of each region.

[0073] S200, according to the standard temperature range and the actual temperature value of the corresponding region, the operation state of the equipment is analyzed to obtain the operation state analysis result.

[0074] In this embodiment, by comparing the difference between the standard temperature range and the actual temperature value, the temperature rise risk level of each region is evaluated, and the comprehensive temperature rise risk level of the equipment is estimated combined with the region weight, so as to obtain the operation state analysis result.

[0075] Specifically, first, the temperature deviation of each region is calculated, and the deviation is mapped to the corresponding temperature rise risk level, such as 20% temperature exceeding the standard range is defined as low risk, 40% is medium risk, and 60% or more is high risk. Then, different weight coefficients are given according to the importance of each part of the transformer, such as the core weight is 0.6, the winding weight is 0.3, etc., and the comprehensive temperature rise risk level is estimated by weighted summation of the risk levels of each region. Finally, the current operating condition is obtained by comparing the preset rating standard, such as low risk is normal, medium risk is warning, and high risk is dangerous state.

[0076] S300, according to the operation state analysis result, the infrared thermal imaging is subjected to image cutting processing, and the directional temperature rise reason analysis is performed on the local hot area with abnormal temperature to obtain the corresponding temperature rise reason parameter.

[0077] In this embodiment, the infrared image is partitioned and cut according to the temperature difference of adjacent regions to generate local hot areas with similar temperatures, and then the abnormal hot areas with temperature higher than the threshold value are analyzed to obtain the temperature rise reason parameter.

[0078] Specifically, first, the temperature difference between adjacent regions is obtained, and the regions with temperature difference less than 10℃ are classified into a hot area. Then, the highest temperature of each hot area is compared with the preset threshold value of 85℃, and the temperature exceeding the threshold value is the abnormal hot area which needs to be marked and analyzed for the temperature rise reason. Taking the transformer as an example, the possible reasons for the abnormal hot area of the winding include winding deformation, medium insulation deterioration, etc., and the reasons for the abnormal hot area of the core may be core grounding failure, local short circuit, etc., and the analysis result will be output as the temperature rise reason parameter.

[0079] In a further embodiment, a corresponding threshold is preset in different areas for different power equipment, so as to more specifically judge abnormal conditions.

[0080] S400, according to the temperature rise reason parameter, the local hot area is analyzed for cooling compensation, and the cooling compensation parameter is obtained.

[0081] In this embodiment, by comparing the cooling intensity of the current cooling means and the difference between the ideal cooling demand, the compensation cooling amount of the hot area is determined, and the superposition effect and order of different means are analyzed, so as to obtain the cooling compensation parameter.

[0082] Specifically, first, the actual cooling rate of the current cooling means such as intensified water cooling circulation on the hot area is obtained, and then the ideal target cooling rate of the region is determined according to the temperature rise reason, and the difference between the two is the compensation demand. Then analyze the superposition cooling effect of other means such as spraying and pulse cooling under the temperature distribution, determine the best superposition mode and order, and finally output the compensation cooling amount, means combination and time sequence as the cooling compensation parameter.

[0083] S500, according to the cooling compensation parameter, the compensation cooling amount of the local hot area is adjusted, and the cooling process parameter of the local hot area is generated and sent to the device control system according to the adjusted compensation cooling amount.

[0084] In this embodiment, the running time of each means is calculated according to the unit cooling amount and the compensation cooling demand, the start interval is determined combined with the superposition order, and the original process is adjusted to obtain the cooling process parameter that meets the actual demand.

[0085] Specifically, first, the unit time cooling amount of each cooling means is obtained according to the current environmental conditions, such as the unit cooling amount of water cooling means under 25℃ environment is 5000J / min. Then according to the difference between the unit cooling amount and the compensation cooling demand of the hot area, the running time of the means is calculated, such as the running time is 2min if the compensation cooling demand is 10000J. According to the time of each means and the superposition order, the start interval between adjacent means such as water cooling and spraying is determined. Finally, based on these time intervals, the original process is adjusted to form new cooling process parameters and sent to the device control system for execution.

[0086] In one embodiment, referring to Figure 2 In step S200, according to the standard temperature range and the actual temperature value of the corresponding area, the running state of the equipment is analyzed, and the running state analysis result is obtained, which specifically includes the following steps:

[0087] S210, according to the difference between the standard temperature range and the actual temperature value of the corresponding area, the temperature deviation amount of each area is calculated.

[0088] In this embodiment, the upper and lower limit values of the standard temperature range are respectively subtracted from the actual temperature value, and the larger absolute value is taken as the temperature deviation of the region.

[0089] S220, according to the preset temperature rating standard, the temperature deviation of each region is mapped to the corresponding temperature rise risk level.

[0090] In this embodiment, a plurality of temperature deviation thresholds are preset for each different region of the power equipment, and the temperature deviation of the region is compared with the thresholds to determine the temperature rise risk level to which it belongs.

[0091] Specifically, the temperature deviation within 10°C is defined as a low risk level, 10°C-30°C is a medium risk, and above 30°C is a high risk. For example, if the temperature deviation of a region is 25°C, the region is mapped to a medium risk level.

[0092] S230, according to the temperature rise risk level of each region, combined with the importance weight of the region, estimate the comprehensive temperature rise risk level of the power equipment.

[0093] In this embodiment, different weight values can be assigned to each region first, and then the region risk level value is multiplied by the corresponding weight and accumulated to obtain the comprehensive risk score of the equipment, and finally the score is mapped to the comprehensive risk level.

[0094] Specifically, for example, the weight of the transformer core region is 0.6, the weight of the winding region is 0.3, and the weight of the oil tank wall is 0.1. If the core is a high risk of 3 points and the winding is a medium risk of 2 points, the comprehensive score is 3x0.6+2x0.3=2.4 points, which corresponds to the comprehensive risk level of high risk.

[0095] S240, according to the comprehensive temperature rise risk level, the running state analysis result of the equipment is obtained by comparing the preset running state rating standard.

[0096] In one embodiment, referring to Figure 3 , in step S300, according to the running state analysis result, the infrared thermal imaging is subjected to image cutting processing, and the directional temperature rise reason analysis is performed on the local thermal region with temperature anomaly to obtain the corresponding temperature rise reason parameter, which specifically includes the following steps:

[0097] S310, according to the running state analysis result, the temperature difference between adjacent regions is obtained.

[0098] In this embodiment, according to the temperature rise risk level of the equipment running state, the acquisition accuracy and step length of the temperature difference between adjacent regions are determined.

[0099] Specifically, if the device belongs to a normal operation state, a larger temperature difference acquisition step can be set, such as acquiring the temperature difference every 10 pixel points; and if it is a warning or dangerous state, the step needs to be reduced, such as acquiring every 2 pixel points, so as to improve the resolution of the temperature difference.

[0100] S320, according to the temperature difference degree, image cutting is performed on the infrared thermal imaging to generate a local thermal area with similar temperature.

[0101] In this embodiment, by setting a temperature difference threshold, adjacent areas with a temperature difference less than the threshold are classified into the same thermal area.

[0102] S330, an abnormal mark is performed on the local thermal area with a temperature higher than a preset temperature threshold, and a temperature rise reason analysis is performed on the marked abnormal thermal area to obtain a temperature rise reason parameter of the abnormal thermal area.

[0103] In this embodiment, the system pre-sets a temperature abnormality criterion, marks the local thermal area meeting the condition as abnormal, and analyzes the possible temperature rise source for the abnormal area.

[0104] Specifically, a preset temperature abnormality criterion threshold is acquired. If the average temperature of a local thermal area exceeds the temperature abnormality criterion threshold, the area is marked as abnormal, indicating that there is a temperature rise hazard. Then, a reason analysis is performed on the marked abnormal area, such as that the reason for the abnormal thermal area of the transformer winding is poor heat dissipation caused by winding deformation; and the possible reason for the abnormal thermal area of the iron core is eddy current heating caused by iron core insulation damage, and the analysis result is output as the temperature rise reason parameter of the abnormal area.

[0105] In one embodiment, with reference to Figure 4 In step S400, the compensation cooling amount of the local thermal area is adjusted according to the temperature drop compensation parameter, and the temperature drop process parameter of the local thermal area is generated and sent to the device control system according to the adjusted compensation cooling amount, specifically including the following steps.

[0106] S410, according to the temperature drop compensation parameter, the cooling performance and the corresponding cooling amount of the current cooling means are acquired, and the current cooling intensity of the current cooling means is analyzed according to the cooling performance and the cooling amount.

[0107] In this embodiment, according to the type and working state of the cooling means, the standard cooling performance under the current environmental conditions is queried, and the actual cooling capacity is calculated combined with the actual running time, and then the current cooling intensity is analyzed. For example, the current water cooling means is enabled, the standard cooling rate of the water cooling system under the environmental temperature of 25 DEG C is queried as 5000 J / min, the time that the water cooling system has been running is acquired as 10 min, the temperature change before and after the start of the temperature sensing means is monitored, and the actual cooling capacity per unit time is calculated combined with the time, and the cooling intensity value of the means under the current conditions is obtained combined with the standard cooling rate.

[0108] S420, calculate the cooling parameter difference between the cooling compensation parameter and the current cooling intensity, and adjust the compensation cooling capacity of the local hot area according to the cooling parameter difference.

[0109] In this embodiment, the target cooling intensity set in the cooling compensation parameter is subtracted from the measured cooling intensity of the current means to obtain the cooling capacity that needs to be compensated.

[0110] Specifically, if the cooling parameter stipulates that the abnormal hot area needs a cooling power of 5000 W, and the measured cooling intensity of the current means is only 3000 W, the difference between the two is 2000 W, so 2000 W of cooling capacity needs to be supplemented.

[0111] S430, acquire the current temperature distribution of the local hot area, and analyze the superimposed cooling effect of each compensation cooling means on the current temperature distribution layer by layer to obtain the superimposed cooling order.

[0112] In this embodiment, the system pre-constructs a three-dimensional temperature field model of the abnormal hot area, and then simulates the cooling process of the air cooling, water cooling and other means respectively, analyzes the contribution degree and distribution characteristics of the means to the temperature field, such as the good surface cooling effect of air cooling, the uniform overall cooling effect of water cooling, and the like, so as to determine the optimal means superimposition order of using air cooling to concentrate cooling hot spots first, and then using water cooling to further balance cooling.

[0113] In some embodiments, the system pre-constructs the reasonable use mode of different cooling means of different power equipment under various abnormal temperature rise scenarios. When a new temperature anomaly occurs, the most similar case and processing suggestion are quickly queried in the knowledge base, and reliable superimposed cooling means and order scheme are obtained therefrom.

[0114] S440, according to the compensation cooling capacity and the superimposed cooling order, the original cooling process parameters of the local hot area are adjusted, and the cooling process parameters corresponding to the local hot area are generated.

[0115] In this embodiment, according to the unit cooling capacity and time response characteristic of each supplementary cooling means, and combined with the cooling capacity that needs to be compensated, the starting time sequence and running time of the original process are adjusted.

[0116] In one embodiment, referring to Figure 5 , in step S420, a cooling parameter difference between the cooling compensation parameter and the current cooling intensity is calculated, and the compensation cooling amount of the local hot area is adjusted according to the cooling parameter difference, specifically including the following steps:

[0117] S421, according to the cooling parameter difference between the cooling compensation parameter and the current cooling intensity, the actual cooling rate of the current cooling means on the local hot area is calculated.

[0118] In this embodiment, the target cooling intensity set in the cooling compensation parameter and the measured cooling intensity value of the current cooling means are obtained first, and then the cooling parameter difference is calculated. The actual volume of the abnormal hot area is combined with the cooling parameter difference to calculate the actual overall cooling rate of the abnormal hot area by the current cooling means.

[0119] S422, the target cooling rate of the local hot area under the current working condition is obtained.

[0120] S423, according to the difference between the actual cooling rate and the target cooling rate, the cooling compensation demand of the local hot area is evaluated.

[0121] In this embodiment, the actual cooling effect is subtracted from the ideal requirement to determine whether there is a cooling shortage.

[0122] Specifically, if the actual cooling rate is lower than the target cooling rate, it indicates that the current cooling measure cannot meet the rapid cooling demand of the abnormal hot area, and compensation is needed; if the difference is not large or higher than the target value, no compensation is needed.

[0123] S424, according to the cooling compensation demand, the compensation cooling amount of each compensation cooling means of the local hot area is adjusted.

[0124] In one embodiment, referring to Figure 6 , in step S440, the original cooling process parameter of the local hot area is adjusted according to the compensation cooling amount and the superimposed cooling sequence, and the cooling process parameter corresponding to the local hot area is generated, specifically including the following steps:

[0125] S441, according to the current environmental conditions, the unit time cooling amount of each compensation cooling means is obtained.

[0126] In this embodiment, different environmental conditions will affect the actual cooling efficiency of various cooling means.

[0127] Specifically, according to the current environmental temperature, humidity, wind speed and other parameters, the pre-established means working curve is queried to obtain the theoretical unit time cooling amount of each means under this environment.

[0128] S442、based on the difference between the unit time cooling amount and the compensation cooling amount, calculate the running time length of each compensation cooling means.

[0129] In this embodiment, in order to meet the demand of compensation cooling amount, the starting duration of each means needs to be controlled.

[0130] Specifically, the total compensation amount corresponding to the means is divided by the unit cooling amount of the means to obtain the theoretical running time length, and if there is a surplus, it is rounded up.

[0131] S443、according to the running time length and the superimposed cooling sequence, determine the starting time interval of each compensation cooling means.

[0132] Specifically, different cooling means need to be started in sequence to achieve the best cooling effect. By following the superimposed sequence, the first means is started, and after the duration ends, the starting and closing time nodes of the next means are determined according to the running time length of the next means.

[0133] S444、according to the starting time interval, adjust the process parameters of the original cooling process of the local hot area to generate the cooling process parameters corresponding to the local hot area.

[0134] It should be understood that the size of the serial number of each step in the above embodiment does not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0135] In a second aspect, the present application provides an infrared imaging detection system for power equipment. The infrared imaging detection system for power equipment of the present application is described below in combination with the above infrared imaging detection method for power equipment.

[0136] Reference Figure 7 An infrared imaging detection system for power equipment, comprising:

[0137] An actual temperature value acquisition module for acquiring a standard temperature range when the power equipment is working normally and an actual temperature value of each area in the infrared thermal imaging;

[0138] A state analysis result acquisition module for analyzing the running state of the equipment according to the standard temperature range and the actual temperature value of the corresponding area to obtain a running state analysis result;

[0139] A temperature rise reason parameter acquisition module for performing image cutting processing on the infrared thermal imaging according to the running state analysis result, performing directional temperature rise reason analysis on the local hot area with temperature anomaly, and obtaining corresponding temperature rise reason parameters;

[0140] The cooling compensation parameter acquisition module is configured to perform cooling compensation analysis on the local hot area according to the temperature rise reason parameter, and obtain a cooling compensation parameter.

[0141] The cooling process parameter generation module is configured to adjust the compensation cooling amount of the local hot area according to the cooling compensation parameter, and generate and send, to the device control system, the cooling process parameter of the local hot area according to the adjusted compensation cooling amount.

[0142] In one embodiment, the state analysis result acquisition module includes:

[0143] The temperature deviation amount calculation unit is configured to calculate the temperature deviation amount of each area according to the difference between the standard temperature range and the actual temperature value of the corresponding area.

[0144] The temperature rise risk level mapping unit is configured to map the temperature deviation amount of each area to a corresponding temperature rise risk level according to a preset temperature rating standard.

[0145] The temperature rise risk level estimation unit is configured to estimate the comprehensive temperature rise risk level of the power device according to the temperature rise risk level of each area in combination with the area importance weight.

[0146] The state analysis result acquisition unit is configured to obtain the current operation state analysis result of the device by comparing the comprehensive temperature rise risk level with a preset operation state rating standard.

[0147] In one embodiment, the temperature rise reason parameter acquisition module includes:

[0148] The temperature difference degree acquisition unit is configured to obtain the temperature difference degree between adjacent areas according to the operation state analysis result.

[0149] The local hot area generation unit is configured to perform image cutting on the infrared thermal image according to the temperature difference degree, and generate a local hot area with similar temperature.

[0150] The temperature rise reason parameter acquisition unit is configured to mark an abnormal local hot area whose temperature is higher than a preset temperature threshold, and perform temperature rise reason analysis on the marked abnormal hot area, and obtain a temperature rise reason parameter of the abnormal hot area.

[0151] In one embodiment, the cooling process parameter generation module includes:

[0152] The current cooling intensity analysis unit is configured to obtain the cooling performance and corresponding cooling amount of the current cooling means according to the cooling compensation parameter, and analyze the current cooling intensity of the current cooling means according to the cooling performance and cooling amount.

[0153] The compensation cooling amount adjustment unit is configured to calculate a cooling parameter difference between the cooling compensation parameter and the current cooling intensity, and adjust the compensation cooling amount of the local hot area according to the cooling parameter difference;

[0154] The superimposed cooling sequence analysis unit is configured to obtain a current temperature distribution of the local hot area, and analyze the superimposed cooling effect of each compensation cooling means on the current temperature distribution layer by layer to obtain a superimposed cooling sequence.

[0155] The cooling process parameter generation unit is configured to adjust process parameters of an original cooling process of the local hot area according to the compensation cooling amount and the superimposed cooling sequence, and generate cooling process parameters corresponding to the local hot area.

[0156] In an embodiment, the compensation cooling amount adjustment unit comprises:

[0157] The actual cooling rate calculation sub-unit is configured to calculate an actual cooling rate of the current cooling means on the local hot area according to the cooling parameter difference between the cooling compensation parameter and the current cooling intensity.

[0158] The target cooling rate acquisition sub-unit is configured to acquire a target cooling rate of the local hot area under the current working condition.

[0159] The cooling compensation demand evaluation sub-unit is configured to evaluate the cooling compensation demand of the local hot area according to the difference between the actual cooling rate and the target cooling rate.

[0160] The compensation cooling amount adjustment sub-unit is configured to adjust the compensation cooling amount of each compensation cooling means of the local hot area according to the cooling compensation demand.

[0161] In an embodiment, the cooling process parameter generation unit comprises:

[0162] The unit time cooling amount acquisition sub-unit is configured to acquire the unit time cooling amount of each compensation cooling means according to the current environmental condition.

[0163] The running time calculation sub-unit is configured to calculate the running time of each compensation cooling means based on the difference between the unit time cooling amount and the compensation cooling amount.

[0164] The start time interval determination sub-unit is configured to determine the start time interval of each compensation cooling means according to the running time and the superimposed cooling sequence.

[0165] The cooling process parameter generation sub-unit is configured to adjust the process parameters of the original cooling process of the local hot area according to the start time interval, and generate the cooling process parameters corresponding to the local hot area.

[0166] In an embodiment, the present application provides an electronic device, which can be a server, and the internal structure diagram thereof can be as followsFigure 8 As shown in the figure. The electronic device includes a processor, a memory and a network interface connected by a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium, an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with the external terminal through the network connection. The computer program is executed by the processor to implement an infrared imaging detection method for power equipment.

[0167] Those skilled in the art can understand that the structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0168] In one embodiment, an electronic device is also provided, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps in each of the above method embodiments.

[0169] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware. The above-mentioned computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments of the method. Any reference to memory, storage, database or other medium used in each embodiment provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not as a limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0170] The above are the preferred embodiments of the present application, which do not limit the protection scope of the present application, therefore: any equivalent changes made on the structure, shape, principle of the present application shall be covered within the protection scope of the present application.

Claims

1. An infrared imaging detection method for power equipment, characterized in that, Includes the following steps: Obtain the standard temperature range of power equipment during normal operation and the actual temperature value of each area in infrared thermal imaging; Based on the standard temperature range and the actual temperature value of the corresponding area, the operating status of the equipment is analyzed to obtain the operating status analysis results. Specifically, the following steps are included: calculating the temperature deviation of each area based on the difference between the standard temperature range and the actual temperature value of the corresponding area; mapping the temperature deviation of each area to the corresponding temperature rise risk level according to the preset temperature rating standard. Based on the temperature rise risk level of each region and the weight of regional importance, the overall temperature rise risk level of the power equipment is estimated, wherein the weight of the transformer core region is 0.6, the weight of the winding region is 0.3, and the weight of the tank wall is 0.

1. Based on the overall temperature rise risk level, the current operating status analysis result of the equipment is obtained by comparing it with the preset operating status rating standard. Based on the operational status analysis results, the infrared thermal image is processed by image segmentation. A directional temperature rise cause analysis is performed on localized hot areas with abnormal temperatures to obtain corresponding temperature rise cause parameters. Specifically, this includes the following steps: Based on the operational status analysis results, the degree of temperature difference between adjacent areas is obtained; based on the degree of temperature difference, the infrared thermal image is segmented to generate localized hot areas with similar temperatures; localized hot areas with temperatures exceeding a preset temperature threshold are marked as abnormal, and the marked abnormal hot areas are analyzed for temperature rise cause parameters to obtain the temperature rise cause parameters for the abnormal hot areas. Specifically, for abnormal hot areas of transformer windings, the analysis focuses on poor heat dissipation caused by winding deformation; for abnormal hot areas of the iron core, the analysis focuses on eddy current heating caused by iron core insulation damage. Based on the temperature rise cause parameters, a cooling compensation analysis is performed on the local hot area to obtain cooling compensation parameters; Adjusting the compensating cooling amount of the local hot area according to the cooling compensation parameters, and generating and sending the cooling process parameters of the local hot area to the equipment control system based on the adjusted compensating cooling amount, specifically includes the following steps: obtaining the cooling performance and corresponding cooling amount of the current cooling method according to the cooling compensation parameters; analyzing the current cooling intensity of the current cooling method based on the cooling performance and the cooling amount; calculating the cooling parameter difference between the cooling compensation parameters and the current cooling intensity; adjusting the compensating cooling amount of the local hot area according to the cooling parameter difference; obtaining the current temperature distribution of the local hot area, and for each compensating cooling method... The superimposed cooling effect on the current temperature distribution is analyzed layer by layer to obtain the superimposed cooling sequence. Based on the compensation cooling amount and the superimposed cooling sequence, the process parameters of the original cooling process in the local hot area are adjusted to generate the cooling process parameters corresponding to the local hot area. The system pre-constructs a three-dimensional temperature field model of the abnormal hot area, simulates the cooling process of air cooling and water cooling respectively, analyzes the contribution and distribution characteristics of air cooling and water cooling to the temperature field, determines the optimal superimposed sequence of means, and pre-constructs the optimal superimposed sequence of means for different power equipment under various abnormal temperature rise scenarios. When a temperature abnormality occurs, similar cases and handling suggestions are queried in the knowledge base.

2. The infrared imaging detection method for power equipment according to claim 1, characterized in that, Calculating the cooling parameter difference between the cooling compensation parameter and the current cooling intensity, and adjusting the compensation cooling amount of the local hot area based on the cooling parameter difference, specifically includes the following steps: Based on the difference in cooling parameters between the cooling compensation parameter and the current cooling intensity, the actual cooling rate of the current cooling method in the local hot area is calculated; Obtain the target cooling rate of the localized hot area under the current operating conditions; The cooling compensation requirement for the localized hot zone is assessed based on the difference between the actual cooling rate and the target cooling rate. Based on the cooling compensation requirements, adjust the compensation cooling amount of each cooling compensation method in the local hot area.

3. The infrared imaging detection method for power equipment according to claim 1, characterized in that, Based on the compensated cooling amount and the superimposed cooling sequence, the process parameters of the original cooling process for the local hot area are adjusted to generate cooling process parameters corresponding to the local hot area, specifically including the following steps: Based on the current environmental conditions, obtain the cooling capacity per unit time for each compensating cooling method; The runtime of each compensating cooling method is calculated based on the difference between the cooling amount per unit time and the compensating cooling amount. The activation time interval of each compensation cooling method is determined based on the runtime and the superimposed cooling sequence. Based on the start-up time interval, the process parameters of the original cooling process for the local hot area are adjusted to generate the corresponding cooling process parameters for the local hot area.

4. An infrared imaging detection system for power equipment, characterized in that, The infrared imaging detection method for power equipment according to any one of claims 1-3 includes: The actual temperature value acquisition module is used to acquire the standard temperature range when the power equipment is working normally and the actual temperature value of each area in the infrared thermal imaging. The status analysis result acquisition module is used to analyze the equipment operating status based on the standard temperature range and the actual temperature value of the corresponding area, and obtain the operating status analysis result. The temperature rise cause parameter acquisition module is used to perform image segmentation processing on the infrared thermal image based on the operation status analysis results, perform directional temperature rise cause analysis on the local thermal areas with abnormal temperature, and obtain the corresponding temperature rise cause parameters. The cooling compensation parameter acquisition module is used to perform cooling compensation analysis on the local hot area based on the temperature rise cause parameters, and obtain cooling compensation parameters. The cooling process parameter generation module is used to adjust the compensation cooling amount of the local hot area according to the cooling compensation parameters, and to generate and send the cooling process parameters of the local hot area to the equipment control system based on the adjusted compensation cooling amount.

5. An electronic device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the infrared imaging detection method for power equipment according to any one of claims 1-3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the infrared imaging detection method for power equipment as described in any one of claims 1-3.

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