CN116169789A - High-voltage component operation quality management system for air charging cabinet - Google Patents
High-voltage component operation quality management system for air charging cabinet Download PDFInfo
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- CN116169789A CN116169789A CN202310198428.0A CN202310198428A CN116169789A CN 116169789 A CN116169789 A CN 116169789A CN 202310198428 A CN202310198428 A CN 202310198428A CN 116169789 A CN116169789 A CN 116169789A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
Abstract
The invention belongs to the field of inflatable cabinets, relates to a data analysis technology, and is used for solving the problem that the running state of a high-voltage component cannot be fed back by adopting different standards under different application environments by the existing high-voltage component running quality management system, in particular to a high-voltage component running quality management system for an inflatable cabinet, which comprises a quality management platform, wherein the quality management platform is in communication connection with a running monitoring module, an early warning analysis module, an environment analysis module and a storage module, and the running monitoring module is used for carrying out running quality monitoring analysis on the high-voltage component of the inflatable cabinet: marking high-voltage components in the charging cabinet as monitoring objects, setting a monitoring period, and dividing the monitoring period into a plurality of monitoring periods; the invention can monitor and analyze the operation quality of the high-voltage components of the gas-filled cabinet, and feed back the operation quality of the high-voltage components of the gas-filled cabinet according to the numerical value of the operation quality coefficient, thereby improving the accuracy of the operation quality monitoring result.
Description
Technical Field
The invention belongs to the field of inflatable cabinets, relates to a data analysis technology, and particularly relates to a high-voltage component operation quality management system for an inflatable cabinet.
Background
The air charging cabinet is a new generation of switch equipment, the main switch can use a permanent magnet mechanism vacuum breaker and a spring mechanism vacuum breaker, the whole cabinet is combined with a sulfur hexafluoride gas compartment by adopting air insulation, the air charging cabinet is compact and extensible, is suitable for power distribution automation, has the characteristics of compact structure, flexible operation, reliable interlocking and the like, and can provide a satisfactory technical scheme for various application occasions and different user requirements;
the existing high-voltage component operation quality management system can only monitor the operation state of the high-voltage component by adopting a unified standard, but cannot feed back the operation state of the high-voltage component by adopting different standards under different application environments, so that the problem of low accuracy of a monitoring result can be caused by adopting the unified standard to monitor the operation state;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a high-voltage component operation quality management system for an air-filling cabinet, which is used for solving the problem that the existing high-voltage component operation quality management system cannot feed back the operation state of a high-voltage component by adopting different standards under different application environments.
The technical problems to be solved by the invention are as follows: how to provide a high-voltage component operation quality management system which feeds back the operation state of the high-voltage component by adopting different standards under different application environments.
The aim of the invention can be achieved by the following technical scheme:
the high-voltage component operation quality management system for the air charging cabinet comprises a quality management platform, wherein the quality management platform is in communication connection with an operation monitoring module, an early warning analysis module, an environment analysis module and a storage module;
the operation monitoring module is used for performing operation quality monitoring analysis on high-voltage components of the air charging cabinet: marking a high-voltage component in a charging cabinet as a monitoring object, setting a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring variable-temperature data BW, variable-pressure data BY and flow control data KL of the monitoring object in the monitoring period, performing numerical calculation to obtain a quality coefficient YZ of the monitoring object in the monitoring period, and judging whether the running quality of the monitoring object in the monitoring period meets the requirement or not according to the numerical value of the quality coefficient YZ;
the early warning analysis module is used for carrying out early warning monitoring analysis through the detection result of the running quality of the monitored object in the monitoring period, and judging whether the whole running quality of the monitored object in the monitoring period meets the requirement or not after the monitoring period is finished;
the environment analysis module is used for monitoring and analyzing the running environment of the monitored object in the monitoring period and assigning the shipping quality threshold YZmax according to the environment monitoring and analyzing result.
As a preferred embodiment of the present invention, the temperature change data BW is the maximum value of the surface temperature value of the transformer housing in the monitoring period, and the process of obtaining the pressure change data BY includes: the method comprises the steps of obtaining a transformer output voltage range, marking the average value of the maximum value and the minimum value of the transformer output voltage range as an output voltage standard value, obtaining the average value of the transformer output voltage in a monitoring period, and marking the absolute value of the difference value between the average value of the output voltage and the output voltage standard value as transformation data BY; the acquisition process of the flow control data KL comprises the following steps: and obtaining a current range of the power supply circuit of the controller, marking the average value of the maximum value and the minimum value of the current range as a current standard value, obtaining the current average value of the power supply circuit of the controller, and marking the absolute value of the difference value between the current average value and the current standard value as control flow data KL.
As a preferred embodiment of the present invention, the specific process of determining whether the operation quality of the monitoring object in the monitoring period satisfies the requirement includes: the method comprises the steps of obtaining a fortune quality threshold YZmax through an environment analysis module, and comparing a fortune quality coefficient YZ of a monitored object in a monitoring period with the fortune quality threshold YZmax: if the quality coefficient YZ is smaller than the quality threshold YZmax, judging that the running quality of the monitored object in the monitoring period meets the requirement, marking the corresponding monitoring period as a normal period, sending a running normal signal to a quality management platform by the running monitoring module, and sending the running normal signal to an early warning analysis module after the quality management platform receives the running normal signal; if the quality coefficient YZ is more than or equal to the quality threshold YZmax, judging that the running quality of the monitored object in the monitoring period does not meet the requirement, marking the corresponding monitoring period as an abnormal period, sending a running abnormal signal to a quality management platform by the running monitoring module, and sending the running abnormal signal to an early warning analysis module after the running abnormal signal is received by the quality management platform.
As a preferred implementation manner of the invention, the specific process of carrying out early warning monitoring analysis by the early warning analysis module through the operation quality detection result of the monitored object in the monitoring period comprises the following steps: setting a countdown time with a time length of L1 minutes after the early warning analysis module receives the abnormal operation signal, wherein L1 is twice the time length of the monitoring period, and resetting the countdown time and adding one to the resetting times if the early warning analysis module receives the abnormal operation signal again in the countdown process; if the early warning analysis module does not receive the abnormal operation signal, ending the countdown, and resetting the numerical value of the times; when the number of the reset times is not less than two, the early warning analysis module sends an operation early warning signal to the quality management platform, and the quality management platform sends the early warning signal to a mobile phone terminal of a manager after receiving the early warning signal.
As a preferred embodiment of the present invention, the specific process for determining whether the overall operation state of the monitoring object in the monitoring period satisfies the requirement includes: summing and averaging the motion quality coefficients of all the monitoring periods to obtain an integral coefficient, establishing a motion quality set of the motion quality coefficients of all the monitoring periods, calculating variance of the motion quality set to obtain a fluctuation coefficient, obtaining an integral threshold and a fluctuation threshold through a storage module, and comparing the integral coefficient and the fluctuation coefficient with the integral threshold and the fluctuation threshold respectively: if the integral coefficient is smaller than the integral threshold value and the fluctuation coefficient is smaller than the fluctuation threshold value, judging that the integral operation quality of the monitored object in the monitoring period meets the requirement, sending an integral qualified signal to a quality management platform by an early warning analysis module, and sending the integral qualified signal to a mobile phone terminal of a manager after the integral qualified signal is received by the quality management platform; otherwise, judging that the overall operation quality of the monitoring object in the monitoring period does not meet the requirement, sending an overall disqualified signal to a quality management platform by an early warning analysis module, and sending the overall disqualified signal to a mobile phone terminal of a manager after the overall disqualified signal is received by the quality management platform.
As a preferred embodiment of the invention, the specific process of the environment analysis module for monitoring and analyzing the running environment of the monitored object in the monitoring period comprises the following steps: acquiring cabinet temperature data GW, cabinet humidity data GS and dust data HC in the operation process of a monitored object in a monitoring period; the environmental coefficient HJ of the monitoring object in the monitoring period is obtained by carrying out numerical calculation on the cabinet temperature data GW, the cabinet humidity data GS and the dust data HC; the environment threshold value HJMax is obtained through the storage module, and the environment coefficient HJ is compared with the environment threshold value HJMax: if the environment coefficient HJ is smaller than the environment threshold HJMax, judging that the running environment of the monitored object in the monitoring period meets the requirement; if the environmental coefficient HJ is greater than or equal to the environmental threshold HJMax, the operation environment of the monitored object in the monitoring period is judged to be unsatisfied with the requirement, the environmental analysis module sends an environmental abnormality signal to the quality management platform, and the quality management platform sends the environmental abnormality signal to a mobile phone terminal of a manager after receiving the environmental abnormality signal.
As a preferred embodiment of the present invention, the process of acquiring the cabinet temperature data GW includes: acquiring an average value and a temperature standard range of air temperature in the air charging cabinet, marking an average value of a maximum value and a minimum value of the temperature standard range as a temperature index value, and marking an absolute value of a difference value between the average value and the temperature index value as cabinet temperature data GW; the acquisition process of the cabinet humidity data GS comprises the following steps: acquiring an air humidity average value and a humidity standard range in the air charging cabinet, marking an average value of a maximum value and a minimum value of the humidity standard range as a humidity standard value, and marking an absolute value of a difference value between the air humidity average value and the humidity standard value as cabinet humidity data GS; the dust data is the average value of the dust concentration in the air inside the inflatable cabinet.
As a preferred embodiment of the invention, the specific process of performing assignment analysis on the fortune quality threshold YZmax comprises the following steps: the quality standard value YZb is obtained through the storage module, the quality threshold value YZmax is obtained through a formula yzmax=t1× YZb, wherein t1 is a proportionality coefficient, and the value judging process of t1 comprises the following steps: if the running environment of the monitored object in the monitoring period meets the requirement, t1=1; if the running environment of the monitored object in the monitoring period does not meet the requirement, t1=1.2.
The invention has the following beneficial effects:
1. the operation quality monitoring and analysis can be carried out on the high-voltage components of the air charging cabinet through the operation monitoring module, and the operation quality coefficient is obtained by carrying out numerical calculation on each operation parameter of a monitored object in a time-division monitoring mode, so that the operation quality of the high-voltage components of the air charging cabinet is fed back through the numerical value of the operation quality coefficient, and the accuracy of the operation quality monitoring result is improved;
2. the operation quality detection result of the monitored object can be subjected to early warning monitoring analysis through the early warning analysis module, the operation quality abnormal frequency is monitored through the reset times of countdown, so that early warning judgment is carried out by combining the operation quality detection result, and the shutdown judgment standard of the gas-filled cabinet is standardized by combining the performance characteristics of light faults and heavy faults of the frequency converter;
3. the environment analysis module can monitor and analyze the running environment of the monitored object in the monitoring period, the environment coefficient is obtained by calculating various environmental data in the monitoring period, and whether the environment is abnormal or not is judged by the numerical value of the environment coefficient, so that the running quality is monitored by adopting different quality thresholds according to the environment monitoring result, different running quality detection standards are generated according to different environments, and the accuracy of the running quality monitoring result is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of the overall invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
As shown in FIG. 1, the high-voltage component operation quality management system for the air charging cabinet comprises a quality management platform, wherein the quality management platform is in communication connection with an operation monitoring module, an early warning analysis module, an environment analysis module and a storage module.
The operation monitoring module is used for performing operation quality monitoring analysis on high-voltage components of the air charging cabinet: marking a high-voltage component in a charging cabinet as a monitoring object, setting a monitoring period, dividing the monitoring period into a plurality of monitoring time periods, acquiring variable-temperature data BW, variable-pressure data BY and flow control data KL of the monitoring object in the monitoring time periods, wherein the variable-temperature data BW is the maximum value of the surface temperature value of a transformer shell in the monitoring time periods, and the acquisition process of the variable-pressure data BY comprises: the method comprises the steps of obtaining a transformer output voltage range, marking the average value of the maximum value and the minimum value of the transformer output voltage range as an output voltage standard value, obtaining the average value of the transformer output voltage in a monitoring period, and marking the absolute value of the difference value between the average value of the output voltage and the output voltage standard value as transformation data BY; the acquisition process of the flow control data KL comprises the following steps: obtaining a current range of a power supply line of a controller, marking an average value of a maximum value and a minimum value of the current range as a current standard value, obtaining a current average value of the power supply line of the controller, marking an absolute value of a difference value between the current average value and the current standard value as current control data KL, and obtaining a quality coefficient YZ of a monitored object in a monitoring period through a formula YZ=α1BW+α2BY+α3KL, wherein the quality coefficient is a numerical value reflecting the operation quality of the monitored object in the monitoring period, and the smaller the numerical value of the quality coefficient is, the better the operation quality of the monitored object in the monitoring period is indicated; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; the method comprises the steps of obtaining a fortune quality threshold YZmax through an environment analysis module, and comparing a fortune quality coefficient YZ of a monitored object in a monitoring period with the fortune quality threshold YZmax: if the quality coefficient YZ is smaller than the quality threshold YZmax, judging that the running quality of the monitored object in the monitoring period meets the requirement, marking the corresponding monitoring period as a normal period, sending a running normal signal to a quality management platform by the running monitoring module, and sending the running normal signal to an early warning analysis module after the quality management platform receives the running normal signal; if the quality coefficient YZ is more than or equal to the quality threshold YZmax, judging that the running quality of the monitored object in the monitoring period does not meet the requirement, marking the corresponding monitoring period as an abnormal period, sending a running abnormal signal to a quality management platform by the running monitoring module, and sending the running abnormal signal to an early warning analysis module after the running abnormal signal is received by the quality management platform; and carrying out operation quality monitoring analysis on the high-voltage components of the inflatable cabinet, and carrying out numerical calculation by combining various operation parameters of a monitored object in a time-division monitoring mode to obtain a quality coefficient, so that the operation quality of the high-voltage components of the inflatable cabinet is fed back through the numerical value of the quality coefficient, and the accuracy of an operation quality monitoring result is improved.
The early warning analysis module is used for carrying out early warning monitoring analysis through the operation quality detection result of the monitored object in the monitoring period: setting a countdown time with a time length of L1 minutes after the early warning analysis module receives the abnormal operation signal, wherein L1 is twice the time length of the monitoring period, and resetting the countdown time and adding one to the resetting times if the early warning analysis module receives the abnormal operation signal again in the countdown process; if the early warning analysis module does not receive the abnormal operation signal, ending the countdown, and resetting the numerical value of the times; when the number of the reset times is not less than two, the early warning analysis module sends an operation early warning signal to the quality management platform, and the quality management platform sends the early warning signal to a mobile phone terminal of a manager after receiving the early warning signal; after the monitoring period is finished, summing the quality coefficients of all the monitoring periods to obtain an overall coefficient, building a quality set by the quality coefficients of all the monitoring periods, calculating variance of the quality set to obtain a fluctuation coefficient, obtaining the overall threshold and the fluctuation threshold by a storage module, and comparing the overall coefficient and the fluctuation coefficient with the overall threshold and the fluctuation threshold respectively: if the integral coefficient is smaller than the integral threshold value and the fluctuation coefficient is smaller than the fluctuation threshold value, judging that the integral operation quality of the monitored object in the monitoring period meets the requirement, sending an integral qualified signal to a quality management platform by an early warning analysis module, and sending the integral qualified signal to a mobile phone terminal of a manager after the integral qualified signal is received by the quality management platform; otherwise, judging that the overall operation quality of the monitored object in the monitoring period does not meet the requirement, sending an overall disqualification signal to a quality management platform by an early warning analysis module, and sending the overall disqualification signal to a mobile phone terminal of a manager after the overall disqualification signal is received by the quality management platform; and (3) carrying out early warning monitoring analysis on the running quality detection result of the monitored object, and monitoring the abnormal frequency of the running quality through the reset times of countdown, so that early warning judgment is carried out by combining the running quality detection result, and the stop judgment standard of the air charging cabinet is standardized by combining the performance characteristics of the light fault and the heavy fault of the frequency converter.
The environment analysis module is used for monitoring and analyzing the running environment of the monitored object in the monitoring period: acquiring cabinet temperature data GW, cabinet humidity data GS and dust data HC in the operation process of a monitoring object in a monitoring period, wherein the acquiring process of the cabinet temperature data GW comprises the following steps: acquiring an average value and a temperature standard range of air temperature in the air charging cabinet, marking an average value of a maximum value and a minimum value of the temperature standard range as a temperature index value, and marking an absolute value of a difference value between the average value and the temperature index value as cabinet temperature data GW; the acquisition process of the cabinet humidity data GS comprises the following steps: acquiring an air humidity average value and a humidity standard range in the air charging cabinet, marking an average value of a maximum value and a minimum value of the humidity standard range as a humidity standard value, and marking an absolute value of a difference value between the air humidity average value and the humidity standard value as cabinet humidity data GS; the dust data is the average value of the dust concentration in the air inside the inflatable cabinet; obtaining an environmental coefficient HJ of the monitored object in the monitoring period according to a formula HJ=β1 xGW+β2 xGS+β3 xHC, wherein the environmental coefficient is a numerical value reflecting the good or bad running environment of the monitored object in the monitoring period, and the smaller the numerical value of the environmental coefficient is, the better the running environment of the monitored object in the monitoring period is indicated; wherein β1, β2 and β3 are proportionality coefficients, and β1 > β2 > β3 > 1; the environment threshold value HJMax is obtained through the storage module, and the environment coefficient HJ is compared with the environment threshold value HJMax: if the environment coefficient HJ is smaller than the environment threshold HJMax, judging that the running environment of the monitored object in the monitoring period meets the requirement; if the environmental coefficient HJ is greater than or equal to the environmental threshold HJMax, judging that the running environment of the monitored object in the monitoring period does not meet the requirement, sending an environmental abnormality signal to the quality management platform by the environmental analysis module, and sending the environmental abnormality signal to a mobile phone terminal of a manager after the environmental abnormality signal is received by the quality management platform; and carrying out assignment analysis on the fortune quality threshold YZmax: the quality standard value YZb is obtained through the storage module, the quality threshold value YZmax is obtained through a formula yzmax=t1× YZb, wherein t1 is a proportionality coefficient, and the value judging process of t1 comprises the following steps: if the running environment of the monitored object in the monitoring period meets the requirement, t1=1; if the running environment of the monitored object in the monitoring period does not meet the requirement, t1=1.2; the method comprises the steps of monitoring and analyzing the running environment of a monitored object in a monitoring period, calculating environmental coefficients through various environmental data in a monitoring period, judging whether the environment is abnormal or not through the numerical value of the environmental coefficients, and accordingly, running quality monitoring is carried out by adopting different quality operation thresholds according to the environmental monitoring results, different running quality detection standards are generated according to different environments, and accuracy of the running quality monitoring results is improved.
A high-voltage components and parts operation quality management system for aerifing cabinet, during operation carries out operation quality monitoring analysis to the high-voltage components and parts of aerifing cabinet: marking a high-voltage component in a charging cabinet as a monitoring object, setting a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring variable temperature data BW, variable pressure data BY and flow control data KL of the monitoring object in the monitoring period, performing numerical calculation to obtain a quality coefficient YZ of the monitoring object in the monitoring period, judging whether the operation quality of the monitoring object in the monitoring period meets the requirement or not according to the numerical value of the quality coefficient YZ, and performing numerical calculation in combination with each operation parameter of the monitoring object to obtain the quality coefficient, so that the operation quality of the high-voltage component of the charging cabinet is fed back according to the numerical value of the quality coefficient; and early warning monitoring analysis is carried out through the running quality detection result of the monitoring object in the monitoring period, whether the whole running quality of the monitoring object in the monitoring period meets the requirement or not is judged after the monitoring period is finished, and the shutdown judgment standard of the gas-filled cabinet is normalized by combining the performance characteristics of the light fault and the heavy fault of the frequency converter.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula yz=α1×bw+α2×by+α3×kl; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding fortune quality coefficient for each group of sample data; substituting the set fortune matter coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.47, 3.25 and 2.16 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding quality coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the quality coefficient is in direct proportion to the value of the variable-temperature data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The high-voltage component operation quality management system for the air charging cabinet comprises a quality management platform and is characterized in that the quality management platform is in communication connection with an operation monitoring module, an early warning analysis module, an environment analysis module and a storage module;
the operation monitoring module is used for performing operation quality monitoring analysis on high-voltage components of the air charging cabinet: marking a high-voltage component in a charging cabinet as a monitoring object, setting a monitoring period, dividing the monitoring period into a plurality of monitoring periods, acquiring variable-temperature data BW, variable-pressure data BY and flow control data KL of the monitoring object in the monitoring period, performing numerical calculation to obtain a quality coefficient YZ of the monitoring object in the monitoring period, and judging whether the running quality of the monitoring object in the monitoring period meets the requirement or not according to the numerical value of the quality coefficient YZ;
the early warning analysis module is used for carrying out early warning monitoring analysis through the detection result of the running quality of the monitored object in the monitoring period, and judging whether the whole running quality of the monitored object in the monitoring period meets the requirement or not after the monitoring period is finished;
the environment analysis module is used for monitoring and analyzing the running environment of the monitored object in the monitoring period and assigning the shipping quality threshold YZmax according to the environment monitoring and analyzing result.
2. The high-voltage component operation quality management system for an air-filled cabinet according to claim 1, wherein the temperature change data BW is a maximum value of a surface temperature value of a transformer housing in a monitoring period, and the process of obtaining the temperature change data BY comprises: the method comprises the steps of obtaining a transformer output voltage range, marking the average value of the maximum value and the minimum value of the transformer output voltage range as an output voltage standard value, obtaining the average value of the transformer output voltage in a monitoring period, and marking the absolute value of the difference value between the average value of the output voltage and the output voltage standard value as transformation data BY; the acquisition process of the flow control data KL comprises the following steps: and obtaining a current range of the power supply circuit of the controller, marking the average value of the maximum value and the minimum value of the current range as a current standard value, obtaining the current average value of the power supply circuit of the controller, and marking the absolute value of the difference value between the current average value and the current standard value as control flow data KL.
3. The high-voltage component operation quality management system for an air-filled cabinet according to claim 2, wherein the specific process of determining whether the operation quality of the monitored object in the monitoring period satisfies the requirement comprises: the method comprises the steps of obtaining a fortune quality threshold YZmax through an environment analysis module, and comparing a fortune quality coefficient YZ of a monitored object in a monitoring period with the fortune quality threshold YZmax: if the quality coefficient YZ is smaller than the quality threshold YZmax, judging that the running quality of the monitored object in the monitoring period meets the requirement, marking the corresponding monitoring period as a normal period, sending a running normal signal to a quality management platform by the running monitoring module, and sending the running normal signal to an early warning analysis module after the quality management platform receives the running normal signal; if the quality coefficient YZ is more than or equal to the quality threshold YZmax, judging that the running quality of the monitored object in the monitoring period does not meet the requirement, marking the corresponding monitoring period as an abnormal period, sending a running abnormal signal to a quality management platform by the running monitoring module, and sending the running abnormal signal to an early warning analysis module after the running abnormal signal is received by the quality management platform.
4. The high-voltage component operation quality management system for an air-filled cabinet according to claim 3, wherein the specific process of performing early warning monitoring analysis by the early warning analysis module through the operation quality detection result of the monitoring object in the monitoring period comprises: setting a countdown time with a time length of L1 minutes after the early warning analysis module receives the abnormal operation signal, wherein L1 is twice the time length of the monitoring period, and resetting the countdown time and adding one to the resetting times if the early warning analysis module receives the abnormal operation signal again in the countdown process; if the early warning analysis module does not receive the abnormal operation signal, ending the countdown, and resetting the numerical value of the times; when the number of the reset times is not less than two, the early warning analysis module sends an operation early warning signal to the quality management platform, and the quality management platform sends the early warning signal to a mobile phone terminal of a manager after receiving the early warning signal.
5. The system for managing the operational quality of high-voltage components for an air-filled cabinet according to claim 4, wherein the specific process of determining whether the overall operational status of the monitored object in the monitoring period satisfies the requirement comprises: summing and averaging the motion quality coefficients of all the monitoring periods to obtain an integral coefficient, establishing a motion quality set of the motion quality coefficients of all the monitoring periods, calculating variance of the motion quality set to obtain a fluctuation coefficient, obtaining an integral threshold and a fluctuation threshold through a storage module, and comparing the integral coefficient and the fluctuation coefficient with the integral threshold and the fluctuation threshold respectively: if the integral coefficient is smaller than the integral threshold value and the fluctuation coefficient is smaller than the fluctuation threshold value, judging that the integral operation quality of the monitored object in the monitoring period meets the requirement, sending an integral qualified signal to a quality management platform by an early warning analysis module, and sending the integral qualified signal to a mobile phone terminal of a manager after the integral qualified signal is received by the quality management platform; otherwise, judging that the overall operation quality of the monitoring object in the monitoring period does not meet the requirement, sending an overall disqualified signal to a quality management platform by an early warning analysis module, and sending the overall disqualified signal to a mobile phone terminal of a manager after the overall disqualified signal is received by the quality management platform.
6. The system for managing the operational quality of high-voltage components for an air-filled cabinet according to claim 5, wherein the specific process of the environmental analysis module for monitoring and analyzing the operational environment of the monitored object in the monitoring period comprises: acquiring cabinet temperature data GW, cabinet humidity data GS and dust data HC in the operation process of a monitored object in a monitoring period; the environmental coefficient HJ of the monitoring object in the monitoring period is obtained by carrying out numerical calculation on the cabinet temperature data GW, the cabinet humidity data GS and the dust data HC; the environment threshold value HJMax is obtained through the storage module, and the environment coefficient HJ is compared with the environment threshold value HJMax: if the environment coefficient HJ is smaller than the environment threshold HJMax, judging that the running environment of the monitored object in the monitoring period meets the requirement; if the environmental coefficient HJ is greater than or equal to the environmental threshold HJMax, the operation environment of the monitored object in the monitoring period is judged to be unsatisfied with the requirement, the environmental analysis module sends an environmental abnormality signal to the quality management platform, and the quality management platform sends the environmental abnormality signal to a mobile phone terminal of a manager after receiving the environmental abnormality signal.
7. The high voltage component operation quality management system for an air-filled cabinet according to claim 6, wherein the acquiring process of the cabinet temperature data GW includes: acquiring an average value and a temperature standard range of air temperature in the air charging cabinet, marking an average value of a maximum value and a minimum value of the temperature standard range as a temperature index value, and marking an absolute value of a difference value between the average value and the temperature index value as cabinet temperature data GW; the acquisition process of the cabinet humidity data GS comprises the following steps: acquiring an air humidity average value and a humidity standard range in the air charging cabinet, marking an average value of a maximum value and a minimum value of the humidity standard range as a humidity standard value, and marking an absolute value of a difference value between the air humidity average value and the humidity standard value as cabinet humidity data GS; the dust data is the average value of the dust concentration in the air inside the inflatable cabinet.
8. The high voltage component operation quality management system for an air closet of claim 7, wherein the specific process of performing the assignment analysis on the quality threshold YZmax comprises: the quality standard value YZb is obtained through the storage module, the quality threshold value YZmax is obtained through a formula yzmax=t1× YZb, wherein t1 is a proportionality coefficient, and the value judging process of t1 comprises the following steps: if the running environment of the monitored object in the monitoring period meets the requirement, t1=1; if the running environment of the monitored object in the monitoring period does not meet the requirement, t1=1.2.
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