CN117907916A - Big data-based power distribution cabinet performance test method and system - Google Patents
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Abstract
The invention relates to the technical field of power distribution cabinet performance test, in particular to a power distribution cabinet performance test method and system based on big data, comprising a performance detection platform, a data acquisition unit, a surface interference unit, a regulation and control feedback unit, a detection supervision unit, a division analysis unit and a detection management unit; according to the invention, the regulation error data of the detection equipment is subjected to detection regulation supervision feedback analysis preliminarily to judge whether the parameter regulation is normal or not during the performance detection of the power distribution cabinet to be detected, so that on one hand, the smooth performance of the detection is facilitated, on the other hand, the influence of the reference regulation on the detection precision is facilitated to be reduced, on the premise of the regulation is normal, the performance detection interference evaluation analysis is performed on the surface data, the data support is facilitated to be provided for the subsequent insulation performance analysis, and on the premise of the surface interference, the insulation performance risk condition of the power distribution cabinet to be detected is judged, so that the insulation performance management of insulation power distribution cabinets with different grades is performed reasonably through the information feedback condition.
Description
Technical Field
The invention relates to the technical field of power distribution cabinet performance test, in particular to a power distribution cabinet performance test method and system based on big data.
Background
The power distribution cabinet is key equipment in the power system, plays an important role in the power system, and is important for ensuring safe and stable operation of the power distribution cabinet for a modern power system; the partial discharge of the power distribution cabinet refers to the situation that partial discharge phenomenon occurs in the cabinet due to various reasons in the operation process of the power distribution cabinet, and the phenomenon has certain influence on the safe operation of power equipment and the stability of a power system, so that enough attention is required and corresponding measures are taken for treatment;
However, in the existing detection process of the insulation performance of the power distribution cabinet, the operation and regulation of the detection equipment cannot be monitored, so that the detection equipment is influenced by the detection equipment, the surface interference condition of the power distribution cabinet cannot be analyzed, the detection precision of the detection equipment is reduced, and the reasonable management cannot be performed according to the insulation performance risk condition of the power distribution cabinet under partial discharge, so that the subsequent use safety of the power distribution cabinet is influenced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a power distribution cabinet performance test method and system based on big data, which solve the technical defects, and the invention is used for judging whether parameter regulation is normal or not during the performance detection of a power distribution cabinet to be detected by carrying out detection regulation and control supervision feedback analysis on regulation and control error data of detection equipment preliminarily, on one hand, the smooth performance of the detection is facilitated, on the other hand, the influence of reference regulation and control on the detection precision is reduced, and on the premise of regulating and control is normal, performance detection interference evaluation analysis is carried out on surface data, so that the influence condition of the surface of the power distribution cabinet to be detected on the next insulation performance detection is known, the data support is facilitated for the subsequent insulation performance analysis, and on the premise of the surface interference, the safety evaluation data of the power distribution cabinet to be detected are collected, the insulation performance supervision evaluation operation is carried out, so that the insulation performance risk condition of the power distribution cabinet to be detected is judged, and the use safety of the power distribution cabinet to be detected is ensured by carrying out reasonable insulation performance management on different levels through the information feedback condition.
The aim of the invention can be achieved by the following technical scheme: a big data-based power distribution cabinet performance test system comprises a performance detection platform, a data acquisition unit, a surface interference unit, a regulation and control feedback unit, a detection supervision unit, a division analysis unit and a detection management unit;
When the performance detection platform generates a management instruction, the management instruction is sent to a data acquisition unit, the data acquisition unit immediately acquires surface data and regulation error data of the power distribution cabinet after receiving the management instruction, the surface data represent an inner surface influence value and an outer surface influence value, the regulation error data comprise a regulation deviation value and an operation detection value, the surface data and the regulation error data are respectively sent to a surface interference unit and a regulation feedback unit, the regulation feedback unit immediately detects, regulates and controls and feedback analysis on the regulation error data after receiving the regulation error data, the obtained normal signal is sent to the surface interference unit, and the obtained alarm signal is sent to a detection management unit;
the surface interference unit immediately performs performance detection interference evaluation analysis on the surface data after receiving the surface data and the normal signal, and sends the obtained interference signal to the detection supervision unit;
The detection monitoring unit immediately collects safety evaluation data of the power distribution cabinet to be detected after receiving the interference signal, wherein the safety evaluation data comprises a temperature rise value, a discharge repetition rate and a partial discharge value, performs insulation performance monitoring evaluation operation on the safety evaluation data, sends an obtained primary discharge signal and a tertiary discharge signal to the detection management unit, and sends an obtained secondary discharge signal to the division analysis unit;
And the division analysis unit immediately carries out management division supervision analysis after receiving the secondary discharge signals, and sends the obtained lower primary management signals and higher tertiary management signals to the detection management unit through the detection supervision unit.
Preferably, the detection regulation and control supervision feedback analysis process of the regulation and control feedback unit is as follows:
Acquiring the time length from the start detection time to the end detection time of the power distribution cabinet to be detected, marking the time length as a time threshold, acquiring an operation detection value of the detection equipment in the time threshold, wherein the operation detection value represents the number that the value corresponding to the operation parameter of the detection equipment belongs to a preset range, acquiring an operation risk value of the detection equipment in the time threshold, wherein the operation risk value represents the number that the part, deviating from the preset range, of the value corresponding to the operation parameter of the detection equipment is smaller than the preset threshold, and the operation parameter represents real-time operation voltage, real-time abnormal sound value and real-time vibration amplitude value, further acquiring the sum of the operation detection value and the operation risk value, marking the sum of the operation detection value and the operation risk value as an operation safety value, and performing discriminant analysis on the operation safety value:
if the operation safety value is not equal to the preset threshold value, generating a risk signal, and sending the risk signal to the detection management unit, wherein the detection management unit immediately makes a preset early warning operation corresponding to the risk signal after receiving the risk signal;
and if the operation safety value is equal to a preset threshold value, generating a safety signal.
Preferably, when the regulation feedback unit generates the safety signal:
marking a detection area of a power distribution cabinet to be detected as a monitoring area, acquiring a regulation deviation value of the monitoring area within a time threshold, wherein the regulation deviation value represents the sum of parts, which deviate from a preset regulation range, of a real-time acquisition value corresponding to a regulation parameter, the regulation parameter comprises a temperature value and a humidity value, and comparing the regulation deviation value with a preset regulation deviation value threshold recorded and stored in the regulation deviation value:
if the regulation deviation value is smaller than a preset regulation deviation value threshold value, generating a normal signal;
and if the regulation deviation value is larger than a preset regulation deviation value threshold value, generating an alarm signal.
Preferably, the performance detection interference evaluation analysis process of the surface interference unit is as follows:
S1: acquiring an inner surface influence value and an outer surface influence value of a power distribution cabinet to be detected in a time threshold, wherein the inner surface influence value represents a sum value obtained by carrying out data normalization processing on a value corresponding to inner surface variation data, the inner surface variation data comprises the inner surface cracking quantity and the total inner stain area of the power distribution cabinet to be detected, the outer surface influence value represents a sum value obtained by carrying out data normalization processing on a value corresponding to outer surface variation data, the outer surface variation data comprises the total outer stain area, the outer surface scratch number and the total outer surface scratch length of the power distribution cabinet to be detected, and the inner surface influence value and the outer surface influence are respectively marked as NY and WY;
s2: the total area of the inner soil zone and the total area of the outer soil zone are defined as follows:
The method comprises the steps of obtaining an inner surface characteristic image and an outer surface characteristic image of a power distribution cabinet to be detected, amplifying the inner surface characteristic image and the outer surface characteristic image into pixel grid images, marking the inner surface characteristic image and the outer surface characteristic image as inner surface analysis images and outer surface analysis images, further obtaining inner gray values and outer gray values corresponding to each pixel grid of the inner surface analysis images and the outer surface analysis images respectively, comparing the inner gray values and the outer gray values with stored preset inner gray value threshold values and preset outer gray value threshold values for analysis, marking the pixel grid corresponding to the inner gray value larger than the preset inner gray value threshold value as an inner dirty area if the inner gray value is larger than the preset inner gray value threshold value, marking the pixel grid corresponding to the outer gray value larger than the preset outer gray value threshold value as an outer dirty area if the outer gray value is larger than the preset outer gray value threshold value, and further obtaining sum of pixel grid areas corresponding to the inner dirty area and the outer dirty area respectively;
S3: obtaining a surface interference evaluation coefficient M according to a formula, and comparing the surface interference evaluation coefficient M with a preset surface interference evaluation coefficient threshold value recorded and stored in the surface interference evaluation coefficient M for analysis:
If the ratio between the surface interference evaluation coefficient M and the preset surface interference evaluation coefficient threshold is smaller than 1, no signal is generated;
And if the ratio between the surface interference evaluation coefficient M and the preset surface interference evaluation coefficient threshold is more than or equal to 1, generating an interference signal.
Preferably, the insulation performance monitoring and evaluating operation process of the detection and monitoring unit is as follows:
T1: dividing a shell of a power distribution cabinet to be detected into n subregion blocks, wherein n is a natural number larger than zero, acquiring the surface temperature value of each subregion block in a time threshold through an infrared thermal imaging camera, performing discriminant analysis on the surface temperature value of each subregion block, marking the power distribution cabinet to be detected as a discharge power distribution cabinet if the maximum difference value between the surface temperature values of each subregion block exceeds a preset threshold, acquiring a temperature rise value of the discharge power distribution cabinet in the time threshold, wherein the temperature rise value represents the maximum change value of the temperature when the discharge power distribution cabinet is partially discharged, simultaneously acquiring the discharge repetition rate of the discharge power distribution cabinet in the time threshold, acquiring the partial discharge value of the discharge power distribution cabinet in the time threshold, and respectively marking the temperature rise value, the discharge repetition rate and the partial discharge value as WS, FF and JF, and in addition, acquiring a surface interference evaluation coefficient M corresponding to an interference signal from a surface interference unit;
t2: according to the formula Obtaining insulation risk assessment coefficients, wherein f1, f2, f3 and f4 are respectively temperature rise values, discharge repetition rates, partial discharge values and preset weight factor coefficients of surface interference assessment coefficients, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset compensation factor coefficient, the value is 2.986, J is an insulation risk assessment coefficient, and the insulation risk assessment coefficient J is compared with a preset insulation risk assessment coefficient interval recorded and stored in the insulation risk assessment coefficient J:
If the insulation risk assessment coefficient J is larger than the maximum value in the preset insulation risk assessment coefficient interval, a first-stage discharge signal is generated;
If the insulation risk assessment coefficient J belongs to a preset insulation risk assessment coefficient interval, generating a secondary discharge signal;
And if the insulation risk assessment coefficient J is smaller than the minimum value in the preset insulation risk assessment coefficient interval, generating a three-level discharge signal.
Preferably, the management division supervision and analysis process of the division analysis unit is as follows:
acquiring an insulation risk evaluation coefficient J characteristic curve of a secondary insulation power distribution cabinet in a time threshold, further acquiring a change trend value of the curve from the insulation risk evaluation coefficient J characteristic curve, marking the change trend value as a management demand value, and comparing the management demand value with a preset management demand value threshold recorded and stored by the management demand value:
If the management demand value is greater than the preset management demand value threshold value, generating a lower-level management signal;
And if the management demand value is smaller than or equal to the preset management demand value threshold value, generating a high-level management signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, through preliminary detection regulation supervision feedback analysis on regulation error data of the detection equipment, whether parameter regulation is normal or not during the performance detection of the power distribution cabinet to be detected is judged, so that on one hand, the smooth performance of the detection is facilitated, and on the other hand, the influence of reference regulation on the detection precision is reduced, and on the premise of normal regulation, performance detection interference evaluation analysis is performed on surface data, so that the influence condition of the surface of the power distribution cabinet to be detected on the next insulation performance detection is known, and the data support is facilitated for the subsequent insulation performance analysis;
(2) According to the invention, on the premise that the surface is interfered, the safety evaluation data of the power distribution cabinet to be detected are collected and the insulation performance supervision evaluation operation is carried out so as to judge the insulation performance risk condition of the power distribution cabinet to be detected, so that the insulation performance management of different levels of the insulation power distribution cabinets is carried out reasonably through the information feedback condition, the use safety of the power distribution cabinet to be detected is ensured, and the management division supervision analysis is carried out on the secondary insulation power distribution cabinet in an information feedback mode so as to further manage and regulate the secondary insulation power distribution cabinet, so that the management rationality of the power distribution cabinet to be detected is ensured, and the insulation performance management efficiency of the power distribution cabinet to be detected is improved integrally according to the insulation detection analysis.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
fig. 2 is a reference diagram of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
Referring to fig. 1 to 2, the invention discloses a large data-based power distribution cabinet performance test system, which comprises a performance test platform, a data acquisition unit, a surface interference unit, a regulation and control feedback unit, a detection supervision unit, a division analysis unit and a detection management unit, wherein the performance test platform is in unidirectional communication connection with the data acquisition unit, the data acquisition unit is in unidirectional communication connection with the surface interference unit and the regulation and control feedback unit, the regulation and control feedback unit is in unidirectional communication connection with the surface interference unit and the detection management unit, the surface interference unit is in unidirectional communication connection with the detection supervision unit, the detection supervision unit is in unidirectional communication connection with the detection management unit, and the detection supervision unit is in bidirectional communication connection with the division analysis unit;
When the performance detection platform generates a management instruction, the management instruction is sent to the data acquisition unit, the data acquisition unit immediately acquires surface data and regulation error data of the power distribution cabinet after receiving the management instruction, the surface data represent an inner surface influence value and an outer surface influence value, the regulation error data comprise a regulation deviation value and an operation detection value, the surface data and the regulation error data are respectively sent to the surface interference unit and the regulation feedback unit, the regulation feedback unit immediately carries out detection regulation feedback analysis on the regulation error data after receiving the regulation error data so as to judge whether parameter regulation is normal or not when the power distribution cabinet to be detected is detected in performance detection, so as to ensure the effectiveness of performance detection, and the specific detection regulation feedback analysis process is as follows:
Acquiring the time length from the start detection time to the end detection time of the power distribution cabinet to be detected, marking the time length as a time threshold, acquiring an operation detection value of the detection equipment in the time threshold, wherein the operation detection value represents the number that the value corresponding to the operation parameter of the detection equipment belongs to a preset range, acquiring an operation risk value of the detection equipment in the time threshold, wherein the operation risk value represents the number that the part, deviating from the preset range, of the value corresponding to the operation parameter of the detection equipment is smaller than the preset threshold, and the operation parameter represents real-time operation voltage, real-time abnormal sound value, real-time vibration amplitude value and the like, further acquiring the sum of the operation detection value and the operation risk value, marking the sum of the operation detection value and the operation risk value as an operation safety value, and performing discriminant analysis on the operation safety value:
If the operation safety value is not equal to the preset threshold value, generating a risk signal, and sending the risk signal to a detection management unit, wherein the detection management unit immediately makes a preset early warning operation corresponding to the risk signal after receiving the risk signal, so that detection equipment is managed in time, and smooth operation of a detection process and accuracy of a detection result are ensured;
If the operation safety value is equal to a preset threshold value, generating a safety signal, marking a detection area of the power distribution cabinet to be detected as a monitoring area after the safety signal is generated, acquiring a regulation deviation value of the monitoring area in a time threshold value, wherein the regulation deviation value represents the sum of parts, corresponding to a regulation parameter, of a real-time acquisition value deviating from a preset regulation range, the regulation parameter comprises a temperature value, a humidity value and the like, and comparing the regulation deviation value with the preset regulation deviation value threshold value recorded and stored in the regulation deviation value:
if the regulation deviation value is smaller than a preset regulation deviation value threshold value, generating a normal signal and sending the normal signal to the surface interference unit;
If the regulation deviation value is larger than a preset regulation deviation value threshold value, generating an alarm signal, and sending the alarm signal to a detection management unit, wherein the detection management unit immediately makes a preset early warning operation corresponding to the alarm signal after receiving the alarm signal, so that the detection equipment is managed in time, the regulation precision of the regulation parameters of the detection equipment is ensured, and further the improvement of the detection precision and the effectiveness is facilitated;
The surface interference unit immediately carries out performance detection interference assessment analysis on the surface data after receiving the surface data and the normal signal so as to know the influence condition of the surface of the power distribution cabinet to be detected on the next performance detection, so that the accurate performance detection is carried out by combining the surface interference condition, the accuracy of a detection result is ensured, and the specific performance detection interference assessment analysis process is as follows:
Obtaining an inner surface influence value and an outer surface influence value of a power distribution cabinet to be detected in a time threshold, wherein the inner surface influence value represents a sum value obtained by carrying out data normalization processing on a value corresponding to inner surface variation data, the inner surface variation data comprises the inner surface cracking quantity, the total inner stain area and the like of the power distribution cabinet to be detected, the outer surface influence value represents a sum value obtained by carrying out data normalization processing on a value corresponding to the outer surface variation data, the outer surface variation data comprises the total outer stain area, the number of outer surface scratches, the total outer surface scratch length and the like of the power distribution cabinet to be detected, the inner surface influence value NY and the outer surface influence WY are respectively marked as NY and WY, and the larger the value of the inner surface influence value NY and the outer surface influence WY is, the larger the surface detection interference of the power distribution cabinet to be detected is, and the larger the error risk of the performance detection result is;
The total area of the inner soil zone and the total area of the outer soil zone are defined as follows:
The method comprises the steps of obtaining an inner surface characteristic image and an outer surface characteristic image of a power distribution cabinet to be detected, amplifying the inner surface characteristic image and the outer surface characteristic image into pixel grid images, marking the inner surface characteristic image and the outer surface characteristic image as inner surface analysis images and outer surface analysis images, further obtaining inner gray values and outer gray values corresponding to each pixel grid of the inner surface analysis images and the outer surface analysis images respectively, comparing the inner gray values and the outer gray values with stored preset inner gray value threshold values and preset outer gray value threshold values for analysis, marking the pixel grid corresponding to the inner gray value larger than the preset inner gray value threshold value as an inner dirty area if the inner gray value is larger than the preset inner gray value threshold value, marking the pixel grid corresponding to the outer gray value larger than the preset outer gray value threshold value as an outer dirty area if the outer gray value is larger than the preset outer gray value threshold value, and further obtaining sum of pixel grid areas corresponding to the inner dirty area and the outer dirty area respectively;
according to the formula Obtaining a surface interference evaluation coefficient, wherein a1 and a2 are respectively preset scale factor coefficients of an inner surface influence value and an outer surface influence, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 2.826, M is a surface interference evaluation coefficient, and the surface interference evaluation coefficient M is compared with a preset surface interference evaluation coefficient threshold value recorded and stored in the surface interference evaluation coefficient M:
If the ratio between the surface interference evaluation coefficient M and the preset surface interference evaluation coefficient threshold is smaller than 1, no signal is generated;
if the ratio between the surface interference evaluation coefficient M and the preset surface interference evaluation coefficient threshold is greater than or equal to 1, generating an interference signal, and sending the interference signal to the detection supervision unit.
And II, implementation:
The detection monitoring unit immediately collects safety evaluation data of the power distribution cabinet to be detected after receiving the interference signal, the safety evaluation data comprise a temperature rise value, a discharge repetition rate and a partial discharge value, and insulation performance monitoring evaluation operation is carried out on the safety evaluation data to judge insulation performance risk conditions of the power distribution cabinet to be detected, so that the power distribution cabinet to be detected is reasonably divided and managed to ensure use safety of the power distribution cabinet to be detected, and the specific insulation performance monitoring evaluation operation process is as follows:
Dividing a shell of a power distribution cabinet to be detected into n subregion blocks, wherein n is a natural number larger than zero, acquiring surface temperature values of all subregion blocks in a time threshold through an infrared thermal imaging camera, performing discriminant analysis on the surface temperature values of all subregion blocks, marking the power distribution cabinet to be detected as a power distribution cabinet if the maximum difference between the surface temperature values of all subregion blocks exceeds a preset threshold, acquiring a temperature rise value of the power distribution cabinet in the time threshold, wherein the temperature rise value represents the maximum change value of the temperature of the power distribution cabinet during partial discharge of the power distribution cabinet, acquiring the discharge repetition rate of the power distribution cabinet in the time threshold, acquiring the partial discharge value of the power distribution cabinet in the time threshold, and marking the temperature rise value, the discharge repetition rate and the partial discharge value as WS, FF and JF respectively;
according to the formula Obtaining insulation risk assessment coefficients, wherein f1, f2, f3 and f4 are respectively temperature rise values, discharge repetition rates, partial discharge values and preset weight factor coefficients of surface interference assessment coefficients, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset compensation factor coefficient, the value is 2.986, J is an insulation risk assessment coefficient, and the insulation risk assessment coefficient J is compared with a preset insulation risk assessment coefficient interval recorded and stored in the insulation risk assessment coefficient J:
If the insulation risk assessment coefficient J is larger than the maximum value in the preset insulation risk assessment coefficient interval, a first-stage discharge signal is generated;
If the insulation risk assessment coefficient J belongs to a preset insulation risk assessment coefficient interval, generating a secondary discharge signal;
If the insulation risk assessment coefficient J is smaller than the minimum value in the preset insulation risk assessment coefficient interval, generating a three-level discharge signal, wherein the insulation breakdown risk of the discharge power distribution cabinet corresponding to the one-level discharge signal, the two-level discharge signal and the three-level discharge signal is sequentially reduced, the discharge power distribution cabinets corresponding to the one-level discharge signal, the two-level discharge signal and the three-level discharge signal are respectively marked as the one-level insulation power distribution cabinet, the two-level insulation power distribution cabinet and the three-level insulation power distribution cabinet, the insulation performance damage degree corresponding to the one-level insulation power distribution cabinet, the two-level insulation power distribution cabinet and the three-level insulation power distribution cabinet is sequentially reduced, the one-level discharge signal and the three-level discharge signal are sent to a detection management unit, the two-level discharge signal is sent to a division analysis unit, and after the detection management unit receives the one-level discharge signal and the three-level discharge signal, preset early warning characters corresponding to the one-level discharge signal and the three-level discharge signal are immediately displayed, so that reasonable insulation performance management is performed on the one-level insulation power distribution cabinet and the three-level insulation power distribution cabinet through information feedback conditions, and the use safety of the power distribution cabinet to be detected is ensured;
the partition analysis unit immediately performs management partition supervision analysis after receiving the secondary discharge signal so as to rationalize management and match the secondary insulation power distribution cabinet, so as to ensure the management rationality of the power distribution cabinet to be detected, and the specific management partition supervision analysis process is as follows:
acquiring an insulation risk evaluation coefficient J characteristic curve of a secondary insulation power distribution cabinet in a time threshold, further acquiring a change trend value of the curve from the insulation risk evaluation coefficient J characteristic curve, marking the change trend value as a management demand value, and comparing the management demand value with a preset management demand value threshold recorded and stored by the management demand value:
If the management demand value is greater than the preset management demand value threshold value, generating a lower-level management signal;
If the management demand value is smaller than or equal to a preset management demand value threshold value, a high-level management signal is generated, the low-level management signal and the high-level management signal are sent to the detection management unit through the detection supervision unit, after the detection management unit receives the low-level management signal and the high-level management signal, preset early warning characters corresponding to the low-level management signal and the high-level management signal are immediately displayed, and reasonable insulation performance management is conducted on the secondary insulation power distribution cabinet corresponding to the low-level management signal and the high-level management signal through information feedback conditions, so that the use safety of the power distribution cabinet to be detected is guaranteed.
Embodiment III:
A big data-based power distribution cabinet performance test method comprises the following steps:
Step one: collecting surface data and regulation error data of the power distribution cabinet, and respectively sending the surface data and the regulation error data to the second step and the third step;
Step two: detecting, regulating and monitoring feedback analysis is carried out on the regulation error data to judge whether the regulation of the performance detection parameters of the power distribution cabinet to be detected is normal or not so as to ensure the validity of the detection result, if a normal signal is obtained, a step three is carried out, and if an alarm signal is obtained, early warning feedback is carried out;
Step three: under the premise of normal regulation and control, performing performance detection interference evaluation analysis on the surface data to know the influence condition of the surface of the power distribution cabinet to be detected on the next performance detection, and if an interference signal is obtained, entering a step four;
Step four: on the premise that the surface is interfered, safety evaluation data of the power distribution cabinet to be detected are collected and insulation performance supervision and evaluation operation is carried out so as to judge the insulation performance risk condition of the power distribution cabinet to be detected, so that the power distribution cabinet to be detected is reasonably divided and managed;
step five: performing management division supervision analysis on the divided secondary insulation power distribution cabinets so as to rationalize management adjustment on the secondary insulation power distribution cabinets;
In summary, the invention performs detection regulation and supervision feedback analysis on the regulation and control error data of the detection equipment to judge whether the parameter regulation and control are normal or not during the performance detection of the power distribution cabinet to be detected, on one hand, the invention is beneficial to the smooth proceeding of the detection, on the other hand, the invention is beneficial to reducing the influence of the reference regulation and control on the detection precision, and performs performance detection interference assessment analysis on the surface data on the premise of normal regulation and control, so as to know the influence condition of the surface of the power distribution cabinet to be detected on the next insulation performance detection, and is beneficial to providing data support for the subsequent insulation performance analysis, and on the premise of interference on the surface, the invention collects the safety assessment data of the power distribution cabinet to be detected and performs insulation performance supervision assessment operation to judge the insulation performance risk condition of the power distribution cabinet to be detected, so as to perform reasonable insulation performance management on the insulation power distribution cabinets of different grades through the information feedback condition, and perform management division supervision analysis on the secondary insulation power distribution cabinet in order to further manage and control the secondary insulation power distribution cabinet in a manner, so as to ensure the management rationality of the insulation performance management of the power distribution cabinet to be detected and the whole to improve the insulation performance management efficiency of the power distribution cabinet to be detected.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (7)
1. The power distribution cabinet performance test system based on big data is characterized by comprising a performance detection platform, a data acquisition unit, a surface interference unit, a regulation and control feedback unit, a detection supervision unit, a division analysis unit and a detection management unit;
When the performance detection platform generates a management instruction, the management instruction is sent to a data acquisition unit, the data acquisition unit immediately acquires surface data and regulation error data of the power distribution cabinet after receiving the management instruction, the surface data represent an inner surface influence value and an outer surface influence value, the regulation error data comprise a regulation deviation value and an operation detection value, the surface data and the regulation error data are respectively sent to a surface interference unit and a regulation feedback unit, the regulation feedback unit immediately detects, regulates and controls and feedback analysis on the regulation error data after receiving the regulation error data, the obtained normal signal is sent to the surface interference unit, and the obtained alarm signal is sent to a detection management unit;
the surface interference unit immediately performs performance detection interference evaluation analysis on the surface data after receiving the surface data and the normal signal, and sends the obtained interference signal to the detection supervision unit;
The detection monitoring unit immediately collects safety evaluation data of the power distribution cabinet to be detected after receiving the interference signal, wherein the safety evaluation data comprises a temperature rise value, a discharge repetition rate and a partial discharge value, performs insulation performance monitoring evaluation operation on the safety evaluation data, sends an obtained primary discharge signal and a tertiary discharge signal to the detection management unit, and sends an obtained secondary discharge signal to the division analysis unit;
And the division analysis unit immediately carries out management division supervision analysis after receiving the secondary discharge signals, and sends the obtained lower primary management signals and higher tertiary management signals to the detection management unit through the detection supervision unit.
2. The big data-based power distribution cabinet performance test system according to claim 1, wherein the detection regulation and control supervision feedback analysis process of the regulation and control feedback unit is as follows:
Acquiring the time length from the start detection time to the end detection time of the power distribution cabinet to be detected, marking the time length as a time threshold, acquiring an operation detection value of the detection equipment in the time threshold, wherein the operation detection value represents the number that the value corresponding to the operation parameter of the detection equipment belongs to a preset range, acquiring an operation risk value of the detection equipment in the time threshold, wherein the operation risk value represents the number that the part, deviating from the preset range, of the value corresponding to the operation parameter of the detection equipment is smaller than the preset threshold, and the operation parameter represents real-time operation voltage, real-time abnormal sound value and real-time vibration amplitude value, further acquiring the sum of the operation detection value and the operation risk value, marking the sum of the operation detection value and the operation risk value as an operation safety value, and performing discriminant analysis on the operation safety value:
if the operation safety value is not equal to the preset threshold value, generating a risk signal, and sending the risk signal to the detection management unit, wherein the detection management unit immediately makes a preset early warning operation corresponding to the risk signal after receiving the risk signal;
and if the operation safety value is equal to a preset threshold value, generating a safety signal.
3. The big data based power distribution cabinet performance test system according to claim 2, wherein when the regulation feedback unit generates a safety signal:
marking a detection area of a power distribution cabinet to be detected as a monitoring area, acquiring a regulation deviation value of the monitoring area within a time threshold, wherein the regulation deviation value represents the sum of parts, which deviate from a preset regulation range, of a real-time acquisition value corresponding to a regulation parameter, the regulation parameter comprises a temperature value and a humidity value, and comparing the regulation deviation value with a preset regulation deviation value threshold recorded and stored in the regulation deviation value:
if the regulation deviation value is smaller than a preset regulation deviation value threshold value, generating a normal signal;
and if the regulation deviation value is larger than a preset regulation deviation value threshold value, generating an alarm signal.
4. A big data based power distribution cabinet performance test system according to claim 3, wherein the performance detection interference evaluation analysis process of the surface interference unit is as follows:
S1: acquiring an inner surface influence value and an outer surface influence value of a power distribution cabinet to be detected in a time threshold, wherein the inner surface influence value represents a sum value obtained by carrying out data normalization processing on a value corresponding to inner surface variation data, the inner surface variation data comprises the inner surface cracking quantity and the total inner stain area of the power distribution cabinet to be detected, the outer surface influence value represents a sum value obtained by carrying out data normalization processing on a value corresponding to outer surface variation data, the outer surface variation data comprises the total outer stain area, the outer surface scratch number and the total outer surface scratch length of the power distribution cabinet to be detected, and the inner surface influence value and the outer surface influence are respectively marked as NY and WY;
s2: the total area of the inner soil zone and the total area of the outer soil zone are defined as follows:
The method comprises the steps of obtaining an inner surface characteristic image and an outer surface characteristic image of a power distribution cabinet to be detected, amplifying the inner surface characteristic image and the outer surface characteristic image into pixel grid images, marking the inner surface characteristic image and the outer surface characteristic image as inner surface analysis images and outer surface analysis images, further obtaining inner gray values and outer gray values corresponding to each pixel grid of the inner surface analysis images and the outer surface analysis images respectively, comparing the inner gray values and the outer gray values with stored preset inner gray value threshold values and preset outer gray value threshold values for analysis, marking the pixel grid corresponding to the inner gray value larger than the preset inner gray value threshold value as an inner dirty area if the inner gray value is larger than the preset inner gray value threshold value, marking the pixel grid corresponding to the outer gray value larger than the preset outer gray value threshold value as an outer dirty area if the outer gray value is larger than the preset outer gray value threshold value, and further obtaining sum of pixel grid areas corresponding to the inner dirty area and the outer dirty area respectively;
S3: obtaining a surface interference evaluation coefficient M according to a formula, and comparing the surface interference evaluation coefficient M with a preset surface interference evaluation coefficient threshold value recorded and stored in the surface interference evaluation coefficient M for analysis:
If the ratio between the surface interference evaluation coefficient M and the preset surface interference evaluation coefficient threshold is smaller than 1, no signal is generated;
And if the ratio between the surface interference evaluation coefficient M and the preset surface interference evaluation coefficient threshold is more than or equal to 1, generating an interference signal.
5. The big data based power distribution cabinet performance test system according to claim 4, wherein the insulation performance supervision and evaluation operation process of the detection supervision unit is as follows:
T1: dividing a shell of a power distribution cabinet to be detected into n subregion blocks, wherein n is a natural number larger than zero, acquiring the surface temperature value of each subregion block in a time threshold through an infrared thermal imaging camera, performing discriminant analysis on the surface temperature value of each subregion block, marking the power distribution cabinet to be detected as a discharge power distribution cabinet if the maximum difference value between the surface temperature values of each subregion block exceeds a preset threshold, acquiring a temperature rise value of the discharge power distribution cabinet in the time threshold, wherein the temperature rise value represents the maximum change value of the temperature when the discharge power distribution cabinet is partially discharged, simultaneously acquiring the discharge repetition rate of the discharge power distribution cabinet in the time threshold, acquiring the partial discharge value of the discharge power distribution cabinet in the time threshold, and respectively marking the temperature rise value, the discharge repetition rate and the partial discharge value as WS, FF and JF, and in addition, acquiring a surface interference evaluation coefficient M corresponding to an interference signal from a surface interference unit;
t2: according to the formula Obtaining insulation risk assessment coefficients, wherein f1, f2, f3 and f4 are respectively temperature rise values, discharge repetition rates, partial discharge values and preset weight factor coefficients of surface interference assessment coefficients, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset compensation factor coefficient, the value is 2.986, J is an insulation risk assessment coefficient, and the insulation risk assessment coefficient J is compared with a preset insulation risk assessment coefficient interval recorded and stored in the insulation risk assessment coefficient J:
If the insulation risk assessment coefficient J is larger than the maximum value in the preset insulation risk assessment coefficient interval, a first-stage discharge signal is generated;
If the insulation risk assessment coefficient J belongs to a preset insulation risk assessment coefficient interval, generating a secondary discharge signal;
And if the insulation risk assessment coefficient J is smaller than the minimum value in the preset insulation risk assessment coefficient interval, generating a three-level discharge signal.
6. The big data based power distribution cabinet performance test system of claim 5, wherein the management division supervision and analysis process of the division analysis unit is as follows:
acquiring an insulation risk evaluation coefficient J characteristic curve of a secondary insulation power distribution cabinet in a time threshold, further acquiring a change trend value of the curve from the insulation risk evaluation coefficient J characteristic curve, marking the change trend value as a management demand value, and comparing the management demand value with a preset management demand value threshold recorded and stored by the management demand value:
If the management demand value is greater than the preset management demand value threshold value, generating a lower-level management signal;
And if the management demand value is smaller than or equal to the preset management demand value threshold value, generating a high-level management signal.
7. The big data-based power distribution cabinet performance test method is applied to the big data-based power distribution cabinet performance test system, and is characterized by comprising the following steps:
Step one: collecting surface data and regulation error data of the power distribution cabinet, and respectively sending the surface data and the regulation error data to the second step and the third step;
Step two: detecting, regulating and monitoring feedback analysis is carried out on the regulation error data to judge whether the regulation of the performance detection parameters of the power distribution cabinet to be detected is normal or not so as to ensure the validity of the detection result, if a normal signal is obtained, a step three is carried out, and if an alarm signal is obtained, early warning feedback is carried out;
Step three: under the premise of normal regulation and control, performing performance detection interference evaluation analysis on the surface data to know the influence condition of the surface of the power distribution cabinet to be detected on the next performance detection, and if an interference signal is obtained, entering a step four;
Step four: on the premise that the surface is interfered, safety evaluation data of the power distribution cabinet to be detected are collected and insulation performance supervision and evaluation operation is carried out so as to judge the insulation performance risk condition of the power distribution cabinet to be detected, so that the power distribution cabinet to be detected is reasonably divided and managed;
Step five: and carrying out management division supervision analysis on the divided secondary insulation power distribution cabinets so as to rationalize management and adjustment on the secondary insulation power distribution cabinets.
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