CN117387690A - Transmission environment monitoring system for switch cabinet data acquisition - Google Patents
Transmission environment monitoring system for switch cabinet data acquisition Download PDFInfo
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Abstract
The invention provides a transmission environment monitoring system for data acquisition of a switch cabinet, which relates to the technical field of switch cabinets and comprises a transmission environment acquisition module, a region switching module, a cloud platform and an environment adjustment execution module; the area transfer module is used for receiving the real-time monitoring data sent by the at least one switch cabinet transmission environment acquisition module and uploading the real-time monitoring data to the cloud platform; the cloud platform is used for receiving the real-time monitoring data, and storing, processing, analyzing and displaying the real-time monitoring data. According to the invention, regional management of the switch cabinet equipment is realized through the cloud platform, the switch cabinet equipment in each region is concentrated on one unified interface for display, and a working maintainer can check the switch cabinet state and parameter data of each region in real time through a unified view, so that functions of real-time monitoring, remote management, fault prediction, automatic regulation and optimization are provided, the stability, the operation efficiency and the reliability of the equipment are effectively improved, and the maintenance cost and the manual operation risk are reduced.
Description
Technical Field
The invention relates to the technical field of switch cabinets, in particular to a transmission environment monitoring system for data acquisition of a switch cabinet.
Background
The switch cabinet is used as one of important electrical equipment in a distribution network, and has the main effects of opening and closing, controlling and protecting electric equipment in the process of generating, transmitting, distributing and converting electric energy in a power system, and the safe operation of the switch cabinet directly influences the working, learning and life quality of people. The components in the switch cabinet mainly comprise a breaker, a disconnecting switch, a load switch, an operating mechanism, a transformer, various protection devices and the like.
In a traditional transmission environment monitoring system of a switch cabinet, the switch cabinets in each area are generally scattered, unified management and monitoring of switch cabinet equipment are lacked, switch cabinet information of a plurality of areas is difficult to view in real time, maintenance staff is planned in an overall mode, and intelligent management functions are lacked. Accordingly, a transmission environment monitoring system for switchgear data collection has been proposed in view of the limitations and drawbacks of the conventional switchgear monitoring system, and it is therefore necessary to provide a transmission environment monitoring system for switchgear data collection that solves the above-mentioned technical problems.
Disclosure of Invention
The invention provides a transmission environment monitoring system for data acquisition of switch cabinets, which solves the problems that the switch cabinets in each area are generally scattered, the unified management and monitoring of switch cabinet equipment are lacked, the switch cabinet information of a plurality of areas is difficult to view in real time, maintenance personnel are planned comprehensively, and the intelligent management function is lacked.
In order to solve the technical problems, the transmission environment monitoring system for the data acquisition of the switch cabinet provided by the invention comprises a transmission environment acquisition module, a region switching module, a cloud platform and an environment adjustment execution module;
the area transfer module is used for receiving the real-time monitoring data sent by the at least one switch cabinet transmission environment acquisition module and uploading the real-time monitoring data to the cloud platform;
the cloud platform is used for receiving the real-time monitoring data, and storing, processing, analyzing and displaying the real-time monitoring data; the method comprises the steps of carrying out trend analysis on real-time monitoring data to obtain corresponding influence values of parameters; comparing the corresponding influence value of the parameter with the corresponding set influence threshold value of the parameter, and if the corresponding influence value of the parameter is not in the corresponding set influence threshold value of the parameter, generating a self-adjusting processing signaling corresponding to the parameter; carrying out adjustment coefficient analysis on the corresponding influence values of the parameters to obtain adjustment coefficients of corresponding adjustment equipment; when self-adjusting processing signaling corresponding to the parameter is generated, carrying out change analysis on the parameter change to obtain a parameter regression value; comparing the parameter regression value with a preset regression normal threshold, and generating a cancel processing signaling if the parameter regression value is in the preset regression normal threshold; transmitting the self-adjustment processing signaling corresponding to the parameters and the regulation and control coefficient or cancellation processing signaling corresponding to the regulating equipment to an environment regulating execution module;
the environment regulation execution module is used for receiving the self-regulation processing signaling corresponding to the parameters and the regulation and control coefficient of the corresponding regulating equipment or canceling the parameter self-regulation processing signaling, controlling the corresponding regulating equipment to work according to the self-regulation processing signaling corresponding to the parameters, controlling the power of the corresponding equipment to work by the regulation and control coefficient, and realizing the regulation and control of the corresponding parameters in the switch cabinet equipment; and when the canceling processing signaling is received, canceling the regulation and control of the corresponding adjusting equipment by the self-adjusting processing signaling, so that the corresponding adjusting equipment returns to the state before the self-adjusting processing signaling corresponding to the receiving parameter.
As a preferred embodiment of the invention, the switchgear transmission environment acquisition module comprises a plurality of sensors for acquiring the switchgear transmission environment, which are all installed in an inner cavity arranged inside the switchgear device.
As a preferred embodiment of the present invention, the cloud platform includes a server, a transmission environment monitoring module, a user interaction module, and an environment adjustment analysis module;
the server is used for storing the real-time monitoring data;
the user interaction module is used for accessing and displaying information stored in the server;
the transmission environment monitoring module is used for carrying out trend analysis on real-time monitoring data, wherein the real-time monitoring data comprises environment parameters and operation parameters of the switch cabinet, the environment parameters comprise temperature, humidity, air flow and gas concentration, and the operation parameters comprise current, voltage and power of the switch cabinet; obtaining preset normal thresholds of environment parameters and parameters corresponding to operation parameters in real-time monitoring data, comparing the parameters in the environment parameters and the operation parameters with the preset normal thresholds of the corresponding parameters, marking any parameter as an abnormal parameter and marking the moment as the current moment when the parameter is not in the preset normal threshold of the corresponding parameter, extracting all corresponding parameter values in a preset time range of the current moment, and recording the number of the abnormal parameters in the preset time range as abnormal parameters; calculating all corresponding parameter values in a preset time range by using a variance formula to obtain fluctuation values of the corresponding parameters; extracting corresponding parameters of preset number before the current moment of the abnormal parameters, and utilizing a formulaTo obtain a boost value YC3 of the corresponding parameter; wherein jY represents the corresponding parameter value when the preset number is J, and J represents the sum of the preset number; weighting and calculating the abnormal parameters, the fluctuation value and the lifting value to obtain a corresponding influence value of the parameters; associating parameter correspondence impact values with parametersSetting an influence threshold value for comparison, and if the influence threshold value is not in the set influence threshold value corresponding to the parameter, generating a self-adjustment processing signaling corresponding to the parameter;
the environment adjustment analysis module is used for receiving the self-adjustment processing signaling corresponding to the parameter and the parameter corresponding influence value, carrying out adjustment coefficient analysis on the parameter influence value, setting a normal threshold value of the parameter corresponding influence value, and subtracting the normal threshold value of the parameter corresponding influence value to obtain a parameter exceeding value; mapping the parameter value to the value range of the regulation and control coefficient by using a linear interpolation method to obtain the regulation and control coefficient of the corresponding regulating equipment; the parameter regression method is also used for carrying out change analysis on the parameter change when generating the self-adjustment processing signaling corresponding to the parameter to obtain a parameter regression value; comparing the parameter regression value with a preset regression normal threshold, and generating a cancel processing signaling if the parameter regression value is in the preset regression normal threshold; and sending the self-adjustment processing signaling corresponding to the parameters and the regulation and control coefficient or cancellation processing signaling of the corresponding equipment to an environment regulation execution module.
As a preferred implementation mode of the invention, the data connection between the area transfer module and the transmission environment monitoring module is realized, and the communication connection between the area transfer module and the cloud platform is realized.
As a preferred embodiment of the present invention, the cloud platform further includes a deployment analysis module and a deployment execution module;
the allocation analysis module is used for allocating and analyzing the related information of the self-adjustment processing signaling corresponding to the parameters, marking the time length between the signaling generation time and the current time as the signaling generation time length, carrying out weighted calculation on the signaling generation time length, the parameter regression value and the corresponding parameter value of the current time to obtain the parameter regulation influence value; comparing the parameter regulation influence value with a preset influence normal threshold value, and if the parameter regulation influence value is not in the preset influence normal threshold value, generating a allocation processing signaling corresponding to the parameter; marking the position and number of the switch cabinet equipment corresponding to the corresponding parameters and the type, position and number of the parameters as maintenance information;
the allocation processing module is used for receiving allocation processing signaling and performing allocation processing operation to obtain regional maintenance personnel; transmitting allocation processing signaling to an intelligent terminal of an area maintainer, and feeding back the current working state by the area maintainer through the intelligent terminal, wherein the working state comprises an idle state and a maintenance state; if the feedback is in an idle state, the maintenance information is sent to an intelligent terminal of an area maintainer, and the area maintainer receives the maintenance information through the intelligent terminal to maintain the corresponding switch cabinet equipment; if the feedback is in a maintenance state, carrying out regional dimension help analysis processing to obtain an adjacent dimension value and a dimension adjustment value; comparing the adjacent dimension value with the dimension adjustment value, if the adjacent dimension value is smaller than the dimension adjustment value, sending an allocation processing signaling to an intelligent terminal of an adjacent maintainer and feeding back the allocation processing signaling, sending maintenance information to the intelligent terminal of the adjacent maintainer agreed by feedback, and maintaining the corresponding switch cabinet equipment by the adjacent maintainer through the intelligent terminal receiving the maintenance information; if the adjacent dimension value is larger than the dimension adjustment value, the processing is not performed.
As a preferred embodiment of the present invention, the deployment processing module receives the deployment processing signaling and performs the deployment processing operation, specifically as follows:
acquiring a working maintainer corresponding to the allocation processing signaling, feeding back an information acquisition instruction to an intelligent terminal of the working maintainer to acquire the current position of the working maintainer, and calculating the distance difference between the current position and the position of the corresponding switch cabinet equipment in the maintenance information to obtain the space between the maintenance cabinets; acquiring the current month maintenance times of the working maintenance personnel; the space between the dimension cabinets and the maintenance times in the month are weighted and calculated to obtain dimension adjustment values; and marking the working maintainer with the largest dimension value as the regional maintainer.
As a preferred embodiment of the present invention, when performing a regional maintenance help-seeking processing operation, the specific operations are as follows:
the predicted maintenance residual duration of the regional maintenance personnel is obtained through intelligent terminal feedback; performing distance difference calculation on the current position of the regional maintainer and the position of the corresponding switch cabinet in the maintenance information to obtain a maintenance adjustment distance; acquiring the current month maintenance times of maintenance personnel in the area; weighting calculation is carried out on the dimension adjustment distance, the predicted maintenance duration and the maintenance times in the month to obtain a dimension adjustment value;
acquiring working maintainers in adjacent areas corresponding to the areas where the switch cabinet equipment is located in the maintenance information, wherein the working maintainers are marked as adjacent maintainers; acquiring the current positions of adjacent maintenance personnel and performing distance difference calculation with the positions of corresponding switch cabinet equipment in the maintenance information to obtain adjacent dimension distances; acquiring the number of maintenance times of personnel in adjacent areas in the current month; and carrying out weighted calculation on the number of maintenance times in the month and the adjacent dimension distance of personnel in the adjacent area to obtain an adjacent dimension value.
As a preferred implementation mode of the invention, the cloud platform comprises a comprehensive analysis module and a warning analysis module, and a warning execution module is arranged on the switch cabinet equipment;
the comprehensive analysis module is used for carrying out comprehensive analysis on the corresponding influence values of all the parameters to obtain a comprehensive value corresponding to the switch cabinet;
the warning analysis module is used for analyzing and processing a warning range corresponding to the switch cabinet, setting an angle coefficient of the warning partition lamp, and matching the value range of the angle coefficient of the warning partition lamp with the comprehensive value to obtain an irradiation angle value; performing color pairing analysis on the integrated value corresponding to the switch cabinet, setting an illumination color threshold of the warning partition lamp, and matching the integrated value corresponding to the switch cabinet with the value range of the illumination color threshold to obtain an illumination color value corresponding to the warning partition lamp; marking the illumination color value and the illumination angle value corresponding to the warning partition lamp as warning information;
the alarm execution module is used for receiving allocation processing signaling and alarm information corresponding to the parameters so as to execute alarm processing operation; when receiving the allocation processing signaling, the illumination angles and the illumination colors of the warning partition lamps are respectively controlled according to the illumination color values and the illumination angle values so as to realize the warning effect.
Compared with the related art, the transmission environment monitoring system for the switch cabinet data acquisition has the following beneficial effects:
1. according to the invention, regional management of the switch cabinet equipment is realized through the cloud platform, the switch cabinet equipment in each region is concentrated on one unified interface for display, and a working maintainer can check the switch cabinet state and parameter data of each region in real time through a unified view, so that functions of real-time monitoring, remote management, fault prediction, automatic regulation and optimization are provided, the stability, the operation efficiency and the reliability of the equipment are effectively improved, and the maintenance cost and the manual operation risk are reduced.
2. According to the intelligent management system, more intelligent and optimized regional management is realized through the allocation analysis module and the allocation execution module of the cloud platform, allocation processing of maintenance personnel of the switchgear equipment is intelligently carried out, conflicts and intersections among the maintenance personnel are reduced, the working efficiency and the resource utilization rate of the maintenance personnel are improved, whether the maintenance personnel in the region need to seek help from adjacent maintenance personnel is judged through help seeking processing operation, whether help seeking processing is carried out is determined according to the magnitude relation between the maintenance adjustment value and the adjacent maintenance value, so that smooth performance of maintenance tasks is ensured, and the response speed to the failure of the switchgear equipment and reasonable utilization of maintenance resources are improved.
In summary, the system realizes centralized management, real-time monitoring and optimal allocation through the cloud platform and the intelligent technology, so that the stability, the running efficiency and the reliability of equipment are improved, and the maintenance cost and the manual operation risk are reduced.
Drawings
Fig. 1 is a schematic block diagram of a transmission environment monitoring system for switchgear data acquisition provided by the present invention.
Fig. 2 is a schematic block diagram between the region switching module and the cloud platform shown in fig. 1.
Fig. 3 is a functional block diagram between the switchgear apparatus and the zone switch module shown in fig. 1.
Fig. 4 is a functional block diagram of the switchgear apparatus shown in fig. 1.
Fig. 5 is a reference diagram of the area in which the switchgear devices shown in fig. 1 are distributed.
Fig. 6 is a reference diagram of the switchgear apparatus shown in fig. 1 when performing a warning operation.
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.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
Example 1
Please refer to fig. 1-4 in combination. The transmission environment monitoring system for the data acquisition of the switch cabinet comprises a transmission environment acquisition module, a region switching module, a cloud platform and an environment adjustment execution module;
the area transfer module is used for receiving the real-time monitoring data sent by the at least one switch cabinet transmission environment acquisition module and uploading the real-time monitoring data to the cloud platform;
the cloud platform is used for receiving the real-time monitoring data, and storing, processing, analyzing and displaying the real-time monitoring data; the method comprises the steps of carrying out trend analysis on real-time monitoring data to obtain corresponding influence values of parameters; comparing the corresponding influence value of the parameter with the corresponding set influence threshold value of the parameter, and if the corresponding influence value of the parameter is not in the corresponding set influence threshold value of the parameter, generating a self-adjusting processing signaling corresponding to the parameter; carrying out adjustment coefficient analysis on the corresponding influence values of the parameters to obtain adjustment coefficients of corresponding adjustment equipment; when self-adjusting processing signaling corresponding to the parameter is generated, carrying out change analysis on the parameter change to obtain a parameter regression value; comparing the parameter regression value with a preset regression normal threshold, and generating a cancel processing signaling if the parameter regression value is in the preset regression normal threshold; transmitting the self-adjustment processing signaling corresponding to the parameters and the regulation and control coefficient or cancellation processing signaling corresponding to the regulating equipment to an environment regulating execution module;
the environment regulation execution module is used for receiving the self-regulation processing signaling corresponding to the parameters and the regulation and control coefficient of the corresponding regulating equipment or canceling the parameter self-regulation processing signaling, controlling the corresponding regulating equipment to work according to the self-regulation processing signaling corresponding to the parameters, controlling the power of the corresponding equipment to work by the regulation and control coefficient, and realizing the regulation and control of the corresponding parameters in the switch cabinet equipment; and when the canceling processing signaling is received, canceling the regulation and control of the corresponding adjusting equipment by the self-adjusting processing signaling, so that the corresponding adjusting equipment returns to the state before the self-adjusting processing signaling corresponding to the receiving parameter.
It should be noted that, the range of the plurality of switch cabinet devices is set to be summarized into a control area, and each control area is matched with an area switching module and a plurality of working maintenance personnel.
In this application, cubical switchboard transmission environment collection module includes the sensor of a plurality of collection cubical switchboard transmission environment, and this sensor is all installed in the inner chamber that the cubical switchboard equipment is inside to be set up.
In the application, the cloud platform comprises a server, a transmission environment monitoring module, a user interaction module and an environment adjustment analysis module;
the server is used for storing the real-time monitoring data;
the user interaction module is used for accessing and displaying information stored in the server;
the transmission environment monitoring module is used for carrying out trend analysis on real-time monitoring data, wherein the real-time monitoring data comprises environment parameters and operation parameters of the switch cabinet, the environment parameters comprise temperature, humidity, air flow and gas concentration, and the operation parameters comprise current, voltage and power of the switch cabinet; obtaining preset normal thresholds of the environment parameters and the parameters corresponding to the operation parameters in the real-time monitoring data, comparing the parameters in the environment parameters and the operation parameters with the preset normal thresholds of the corresponding parameters, and when any parameter is not locatedMarking the parameter as an abnormal parameter and marking the moment as the current moment in a preset normal threshold value of the corresponding parameter, extracting all corresponding parameter values in a preset time range of the current moment, and recording the number of the abnormal parameters in the preset time range as an abnormal parameter YC1; calculating all corresponding parameter values in a preset time range by using a variance formula, and using the formulaTo obtain a fluctuation value YC2 of the corresponding parameter; wherein iY represents the corresponding parameter value at the i-th time, μ represents the average value of all the corresponding parameter values within the preset time range, and represents the sum of all the times within the preset time range; extracting corresponding parameters of preset number before the current moment of the abnormal parameters, and utilizing a formulaTo obtain a boost value YC3 of the corresponding parameter; wherein jY represents the corresponding parameter value when the preset number is J, and J represents the sum of the preset number; weighting and calculating the different parameters, the fluctuation value and the lifting value, and obtaining a parameter corresponding influence value YC by using a formula YC=YC1×a1+YC2×a2+YC3×a3; wherein a1, a2 and a3 respectively represent the weight factors of the abnormal parameters, the fluctuation values and the lifting values corresponding to the corresponding parameters; comparing the corresponding influence value of the parameter with the corresponding set influence threshold value of the parameter, and if the corresponding influence value of the parameter is not in the corresponding set influence threshold value of the parameter, generating a self-adjusting processing signaling corresponding to the parameter;
the environment adjustment analysis module is used for receiving the self-adjustment processing signaling corresponding to the parameter and the parameter corresponding influence value, carrying out adjustment coefficient analysis on the parameter influence value, setting a normal threshold value of the parameter corresponding influence value, and subtracting the normal threshold value of the parameter corresponding influence value to obtain a parameter exceeding value; mapping the parameter value to the value range of the regulation and control coefficient by using a linear interpolation method to obtain the regulation and control coefficient of the corresponding regulating equipment; the method is also used for carrying out change analysis on parameter changes when the self-adjustment processing signaling corresponding to the parameters is generated, marking the time of generating the self-adjustment processing signaling corresponding to the parameters as signaling generation time, and recording the corresponding parameter values between the signaling generation time and the current time; establishing a self-adjusting parameter corresponding line graph, substituting corresponding parameter values and recording corresponding time into the self-adjusting parameter corresponding line graph, marking the positions of the corresponding parameter values in the line graph as parameter points, connecting adjacent parameter points to obtain a parameter line, and calculating the slope of the parameter line; when the slope is positive, marking the slope as a positive slope; when the slope is negative, marking the slope as a negative slope; summing all positive slopes to obtain a positive slope value, and summing absolute values of all negative slopes to obtain a negative slope value; subtracting the positive slope value from the negative slope value to obtain a parameter regression value; comparing the parameter regression value with a preset regression normal threshold, and generating a cancel processing signaling if the parameter regression value is in the preset regression normal threshold;
and sending the self-adjustment processing signaling corresponding to the parameters and the regulation and control coefficient or cancellation processing signaling of the corresponding equipment to an environment regulation execution module.
In the application, the data connection between the region switching module and the transmission environment monitoring module is realized, and the region switching module is in communication connection with the cloud platform.
It should be noted that the data connection and the communication connection include, but are not limited to, physical connection, network connection, data transmission protocol, identity authentication and data encryption, so as to ensure safe and reliable data transmission and communication between the area switching module and the cloud platform, and the data connection and the communication connection are all in the prior art and are not described herein again.
The working principle of the transmission environment monitoring system for the switch cabinet data acquisition provided by the invention is as follows:
the system collects the environment parameters and the operation parameters of the switch cabinet equipment in real time through the transmission environment collection module, helps monitoring staff to know the operation condition of the switch cabinet equipment, the environment conditions and the change condition of each parameter, uploads real-time monitoring data to the cloud platform, work maintenance staff can monitor and manage the state and the parameter data of the switch cabinet at any time through the cloud platform, operability and flexibility of the system can be effectively improved through remote adjustment and control, meanwhile, the cloud platform can store, process and analyze the real-time monitoring data, trend analysis is carried out on the real-time monitoring data, parameter corresponding influence values are obtained, monitoring staff can find problems and predict equipment faults according to the change of the parameter corresponding influence values, accordingly, self-adjusting processing signaling corresponding to the parameters is generated, automatic adjustment and control are carried out on corresponding adjusting equipment, stability and performance of the switch cabinet equipment are effectively improved, meanwhile, fine adjustment and control can be carried out on the switch cabinet equipment through adjustment coefficient analysis of the parameter influence values and control of the environment adjustment execution module, energy conservation and maintenance cost are achieved, and service life and efficiency of the equipment are improved. In summary, the system can provide functions of real-time monitoring, remote management, data analysis and automatic control, and provides convenience and benefits for operation and maintenance of switch cabinet equipment.
Example 2
Referring to fig. 4 in combination, embodiment 2 of the present application proposes a transmission environment monitoring system for data acquisition of a switchgear based on the transmission environment monitoring system for data acquisition of a switchgear provided in embodiment 1 of the present application. Example 2 is merely a preferred embodiment of example 1, and the implementation of example 2 does not affect the implementation of example 1 alone.
Specifically, the transmission environment monitoring system for switchgear data acquisition provided in embodiment 2 of the present application is different in that: in the application, the cloud platform further comprises a deployment analysis module and a deployment execution module;
the allocation analysis module is used for allocating and analyzing relevant information of the self-adjustment processing signaling corresponding to the parameters, marking the time length between the signaling generation time and the current time as signaling generation time length, marking the signaling generation time length, the parameter regression value and the corresponding parameter value at the current time as SC1, SC2 and SC3 respectively, carrying out weighted calculation on the signaling generation time length, the parameter regression value and the corresponding parameter value at the current time, and obtaining a parameter regulation influence value by using a formula SC=Sc1×b1+Sc2×b2+Sc3×b3; wherein b1, b2 and b3 respectively represent the signaling generation time length, the parameter regression value and the weight influence factor corresponding to the corresponding parameter value at the current moment; comparing the parameter regulation influence value with a preset influence normal threshold value, and if the parameter regulation influence value is not in the preset influence normal threshold value, generating a allocation processing signaling corresponding to the parameter; marking the position and number of the switch cabinet equipment corresponding to the corresponding parameters and the type, position and number of the parameters as maintenance information;
the allocation processing module is used for receiving allocation processing signaling and performing allocation processing operation to obtain regional maintenance personnel; transmitting allocation processing signaling to an intelligent terminal of an area maintainer, and feeding back the current working state by the area maintainer through the intelligent terminal, wherein the working state comprises an idle state and a maintenance state; if the feedback is in an idle state, the maintenance information is sent to an intelligent terminal of an area maintainer, and the area maintainer receives the maintenance information through the intelligent terminal to maintain the corresponding switch cabinet equipment; if the feedback is in a maintenance state, carrying out regional dimension help analysis processing to obtain an adjacent dimension value and a dimension adjustment value; comparing the adjacent dimension value with the dimension adjustment value, if the adjacent dimension value is smaller than the dimension adjustment value, sending an allocation processing signaling to an intelligent terminal of an adjacent maintainer and feeding back the allocation processing signaling, sending maintenance information to the intelligent terminal of the adjacent maintainer agreed by feedback, and maintaining the corresponding switch cabinet equipment by the adjacent maintainer through the intelligent terminal receiving the maintenance information; if the adjacent dimension value is larger than the dimension adjustment value, the processing is not performed.
In the application, the allocation processing module receives allocation processing signaling and performs allocation processing operation, which is specifically as follows:
acquiring a working maintainer corresponding to the allocation processing signaling, feeding back an information acquisition instruction to an intelligent terminal of the working maintainer to acquire the current position of the working maintainer, and calculating the distance difference between the current position and the position of the corresponding switch cabinet equipment in the maintenance information to obtain the space between the maintenance cabinets and marking the space as KF1; acquiring the current month maintenance times of the working maintenance personnel and marking the current month maintenance times as KF2; the space between the dimension cabinets and the maintenance times in the month are weighted and calculated, and a dimension adjustment value KF is obtained by using a formula KF=KF1×f1+KF2×f2; wherein f1 and f2 respectively represent weight factors corresponding to the space between the dimension cabinets and the maintenance times in the month; and marking the working maintainer with the largest dimension value as the regional maintainer.
In the application, when the regional maintenance help-seeking processing operation is performed, the specific operation is as follows:
the predicted maintenance residual time length of the regional maintenance personnel is obtained through intelligent terminal feedback and is marked as HK1; performing distance difference calculation on the current position of the regional maintainer and the position of the corresponding switch cabinet in the maintenance information to obtain a maintenance adjustment distance and marking the maintenance adjustment distance as HK2; acquiring the current month maintenance times of maintenance personnel in the area and marking the current month maintenance times as HK3; weighting calculation is carried out on the dimension adjustment distance, the expected maintenance time length and the current month maintenance times, and a dimension adjustment value HK is obtained by using a formula HK= (HK1xh1+HK2xh2)/(HK3xh3+1); wherein h1, h2 and h3 respectively represent weight factors corresponding to the predicted maintenance residual duration, the maintenance interval and the maintenance times in the month;
acquiring working maintainers in adjacent areas corresponding to the areas where the switch cabinet equipment is located in the maintenance information, wherein the working maintainers are marked as adjacent maintainers; acquiring the current position of adjacent maintenance personnel, performing distance difference calculation with the position of corresponding switch cabinet equipment in maintenance information to obtain an adjacent dimension distance, and marking the adjacent dimension distance as TK1; acquiring the current month maintenance times of personnel in adjacent areas, wherein the current month maintenance times are expressed as TK2; weighting and calculating the number of maintenance times in the month and the adjacent dimension distance of personnel in the adjacent area, and obtaining an adjacent dimension value TK by using a formula TK= (TK1×t1)/(TK2×t2+1); wherein t1 and t2 respectively represent the number of maintenance times in the month and the weight factors corresponding to the adjacent dimension distance of personnel in the adjacent region.
The deployment analysis module and the deployment execution module of the cloud platform realize more intelligent and optimized regional management, intelligently carry out deployment treatment on maintenance personnel of the switch cabinet equipment, reduce conflict and intersection among the maintenance personnel, and improve the working efficiency and the resource utilization rate of the maintenance personnel; in the help-seeking processing operation, whether help seeking is required to be carried out to adjacent maintenance personnel is judged through the calculated dimension values and the adjacent dimension values, and whether help seeking processing is carried out is determined according to the magnitude relation between the dimension values and the adjacent dimension values so as to ensure smooth progress of maintenance tasks and improve response speed to faults of the switch cabinet equipment and reasonable utilization of maintenance resources.
Example 3
Referring to fig. 6 in combination, based on the transmission environment monitoring system for data collection of a switch cabinet provided in embodiment 1 of the present application, embodiment 3 of the present application proposes a transmission environment monitoring system for data collection of a switch cabinet. Example 3 is merely a preferred embodiment of example 1, and the implementation of example 3 does not affect the implementation of example 1 alone.
Specifically, embodiment 3 of the present application provides a transmission environment monitoring system for switchgear data acquisition, which is different in that: in the application, the cloud platform comprises a comprehensive analysis module and a warning analysis module, and a warning execution module is arranged on the switch cabinet equipment;
the comprehensive analysis module is used for carrying out comprehensive analysis on the corresponding influence values of all the parameters and utilizing a formulaObtaining a comprehensive value ZY corresponding to the switch cabinet; wherein YCi represents the parameter influence value corresponding to the parameter type i, M represents the total number of the parameter types, and iδ represents the weight influence factor of the parameter influence value corresponding to the parameter type i;
the warning analysis module is used for analyzing and processing a warning range corresponding to the switch cabinet, setting an angle coefficient of the warning partition lamp, and matching the value range of the angle coefficient of the warning partition lamp with the comprehensive value to obtain an irradiation angle value; performing color pairing analysis on the integrated value corresponding to the switch cabinet, setting an illumination color threshold of the warning partition lamp, and matching the integrated value corresponding to the switch cabinet with the value range of the illumination color threshold to obtain an illumination color value corresponding to the warning partition lamp; marking the illumination color value and the illumination angle value corresponding to the warning partition lamp as warning information;
for example, the illumination color value corresponding to each warning partition lamp matches one color, for example, when the integrated value is low, the color corresponding to the illumination color value is yellow, when the integrated value is high, the color corresponding to the illumination color value is red, when the integrated value is changed from low to high, the color corresponding to the illumination color value is gradually changed from yellow to red.
The alarm execution module is used for receiving allocation processing signaling and alarm information corresponding to the parameters so as to execute alarm processing operation; when receiving the allocation processing signaling, the illumination angles and the illumination colors of the warning partition lamps are respectively controlled according to the illumination color values and the illumination angle values so as to realize the warning effect.
It should be noted that, all be provided with warning partition lamp in week side at cubical switchboard equipment top for shine the light of different colours, angle, be provided with on the warning partition lamp and shine angle adjustment mechanism, and warning execution module pairs with warning partition lamp, and wherein, warning partition lamp, shine angle adjustment technique are prior art, do not make in detail here.
The comprehensive analysis module comprehensively considers the influence of each parameter, quantificationally evaluates the overall condition and performance of the switch cabinet equipment, the warning analysis module pair-analyzes the warning range and the illumination of the warning illumination lamp, and determines the illumination angle and the illumination color of the warning partition lamp by matching with the comprehensive value, so that the warning information of equipment abnormality or problem can be intuitively presented to monitoring staff and passers-by, and maintenance staff can conveniently find and remind passers-by danger signals.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (8)
1. The transmission environment monitoring system for the data acquisition of the switch cabinet comprises a transmission environment acquisition module, a region switching module, a cloud platform and an environment adjustment execution module;
the region transfer module is used for receiving the real-time monitoring data sent by the at least one switch cabinet transmission environment acquisition module and uploading the real-time monitoring data to the cloud platform; the method is characterized in that:
the cloud platform is used for receiving the real-time monitoring data, and storing, processing, analyzing and displaying the real-time monitoring data; the method comprises the steps of carrying out trend analysis on real-time monitoring data to obtain corresponding influence values of parameters; comparing the corresponding influence value of the parameter with the corresponding set influence threshold value of the parameter, and if the corresponding influence value of the parameter is not in the corresponding set influence threshold value of the parameter, generating a self-adjusting processing signaling corresponding to the parameter; carrying out adjustment coefficient analysis on the corresponding influence values of the parameters to obtain adjustment coefficients of corresponding adjustment equipment; when self-adjusting processing signaling corresponding to the parameter is generated, carrying out change analysis on the parameter change to obtain a parameter regression value; comparing the parameter regression value with a preset regression normal threshold, and generating a cancel processing signaling if the parameter regression value is in the preset regression normal threshold; transmitting the self-adjustment processing signaling corresponding to the parameters and the regulation and control coefficient or cancellation processing signaling corresponding to the regulating equipment to an environment regulating execution module;
the cloud platform comprises a transmission environment monitoring module, wherein the transmission environment monitoring module is used for carrying out trend analysis on real-time monitoring data, obtaining preset normal thresholds of parameters corresponding to environment parameters and operation parameters in the real-time monitoring data, comparing the parameters in the environment parameters and the operation parameters with the preset normal thresholds of the corresponding parameters, marking any parameter as an abnormal parameter and marking the moment as the current moment when the parameter is not in the preset normal threshold of the corresponding parameter, extracting all corresponding parameter values in a preset time range of the current moment, and recording the number of the abnormal parameters in the preset time range as the abnormal parameter; calculating all corresponding parameter values in a preset time range by using a variance formula to obtain fluctuation values of the corresponding parameters; extracting corresponding parameters of preset number before the current moment of the abnormal parameters, and utilizing a formulaTo obtain the raised value YC3 of the corresponding parameter; wherein jY represents the corresponding parameter value when the preset number is J, and J represents the sum of the preset number; weighting and calculating the abnormal parameters, the fluctuation value and the lifting value to obtain a corresponding influence value of the parameters; comparing the corresponding influence value of the parameter with the corresponding set influence threshold value of the parameter, and if the corresponding influence value of the parameter is not in the corresponding set influence threshold value of the parameter, generating a self-adjusting processing signaling corresponding to the parameter;
the environment regulation execution module is used for receiving the self-regulation processing signaling corresponding to the parameters and the regulation and control coefficient of the corresponding regulating equipment or canceling the parameter self-regulation processing signaling, controlling the corresponding regulating equipment to work according to the self-regulation processing signaling corresponding to the parameters, controlling the power of the corresponding equipment to work by the regulation and control coefficient, and realizing the regulation and control of the corresponding parameters in the switch cabinet equipment; and when the canceling processing signaling is received, canceling the regulation and control of the corresponding adjusting equipment by the self-adjusting processing signaling, so that the corresponding adjusting equipment returns to the state before the self-adjusting processing signaling corresponding to the receiving parameter.
2. The transmission environment monitoring system for switchgear data acquisition of claim 1, wherein the switchgear transmission environment acquisition module comprises a plurality of sensors for acquiring the switchgear transmission environment, the sensors being mounted in an internal cavity provided inside the switchgear device.
3. The transmission environment monitoring system for switchgear data acquisition of claim 1, wherein the cloud platform further comprises a server, a user interaction module, and an environment adjustment analysis module;
the server is used for storing real-time monitoring data;
the user interaction module is used for accessing and displaying information stored in the server;
the environment adjustment analysis module is used for receiving the self-adjustment processing signaling corresponding to the parameter and the parameter corresponding influence value, carrying out adjustment coefficient analysis on the parameter influence value, setting a normal threshold value of the parameter corresponding influence value, and subtracting the normal threshold value from the parameter corresponding influence value to obtain a parameter exceeding value; mapping the parameter value to the value range of the regulation and control coefficient by using a linear interpolation method to obtain the regulation and control coefficient of the corresponding regulating equipment; the parameter regression method is also used for carrying out change analysis on the parameter change when generating the self-adjustment processing signaling corresponding to the parameter to obtain a parameter regression value; comparing the parameter regression value with a preset regression normal threshold, and generating a cancel processing signaling if the parameter regression value is in the preset regression normal threshold; and sending the self-adjustment processing signaling corresponding to the parameters and the regulation and control coefficient or cancellation processing signaling of the corresponding equipment to an environment regulation execution module.
4. The transmission environment monitoring system for switchgear data acquisition according to claim 1, wherein the area switching module is in data connection with the transmission environment monitoring module, and the area switching module is in communication connection with the cloud platform.
5. The transmission environment monitoring system for switchgear data acquisition of claim 3, wherein the cloud platform further comprises a deployment analysis module and a deployment execution module;
the allocation analysis module is used for allocating and analyzing relevant information of the self-adjustment processing signaling corresponding to the parameters, marking the time length between the signaling generation time and the current time as signaling generation time length, carrying out weighted calculation on the signaling generation time length, the parameter regression value and the corresponding parameter value of the current time to obtain a parameter regulation influence value; comparing the parameter regulation influence value with a preset influence normal threshold value, and if the parameter regulation influence value is not in the preset influence normal threshold value, generating a allocation processing signaling corresponding to the parameter; marking the position and number of the switch cabinet equipment corresponding to the corresponding parameters and the type, position and number of the parameters as maintenance information;
the allocation processing module is used for receiving allocation processing signaling and performing allocation processing operation to obtain regional maintenance personnel; transmitting allocation processing signaling to an intelligent terminal of an area maintainer, and feeding back the current working state by the area maintainer through the intelligent terminal, wherein the working state comprises an idle state and a maintenance state; if the feedback is in an idle state, the maintenance information is sent to an intelligent terminal of an area maintainer, and the area maintainer receives the maintenance information through the intelligent terminal to maintain the corresponding switch cabinet equipment; if the feedback is in a maintenance state, carrying out regional dimension help analysis processing to obtain an adjacent dimension value and a dimension adjustment value; comparing the adjacent dimension value with the dimension adjustment value, if the adjacent dimension value is smaller than the dimension adjustment value, sending an allocation processing signaling to an intelligent terminal of an adjacent maintainer and feeding back the allocation processing signaling, sending maintenance information to the intelligent terminal of the adjacent maintainer agreed by feedback, and maintaining the corresponding switch cabinet equipment by the adjacent maintainer through the intelligent terminal receiving the maintenance information; if the adjacent dimension value is larger than the dimension adjustment value, the processing is not performed.
6. The transmission environment monitoring system for switchgear data acquisition according to claim 5, wherein the deployment processing module receives deployment processing signaling and performs deployment processing operations, specifically as follows:
acquiring a working maintainer corresponding to the allocation processing signaling, feeding back an information acquisition instruction to an intelligent terminal of the working maintainer to acquire the current position of the working maintainer, and calculating the distance difference between the current position and the position of the corresponding switch cabinet equipment in the maintenance information to obtain the space between the maintenance cabinets; acquiring the current month maintenance times of the working maintenance personnel; the space between the dimension cabinets and the maintenance times in the month are weighted and calculated to obtain dimension adjustment values; and marking the working maintainer with the largest dimension value as the regional maintainer.
7. The transmission environment monitoring system for switchgear data collection according to claim 5, characterized in that, in performing a regional maintenance help handling operation, the specific operations are as follows:
the predicted maintenance residual duration of the regional maintenance personnel is obtained through intelligent terminal feedback; performing distance difference calculation on the current position of the regional maintainer and the position of the corresponding switch cabinet in the maintenance information to obtain a maintenance adjustment distance; acquiring the current month maintenance times of maintenance personnel in the area; weighting calculation is carried out on the dimension adjustment distance, the predicted maintenance duration and the maintenance times in the month to obtain a dimension adjustment value;
acquiring working maintainers in adjacent areas corresponding to the areas where the switch cabinet equipment is located in the maintenance information, wherein the working maintainers are marked as adjacent maintainers; acquiring the current positions of adjacent maintenance personnel and performing distance difference calculation with the positions of corresponding switch cabinet equipment in the maintenance information to obtain adjacent dimension distances; acquiring the number of maintenance times of personnel in adjacent areas in the current month; and carrying out weighted calculation on the number of maintenance times in the month and the adjacent dimension distance of personnel in the adjacent area to obtain an adjacent dimension value.
8. The transmission environment monitoring system for switchgear data acquisition according to claim 5, wherein the cloud platform comprises a comprehensive analysis module and a warning analysis module, and a warning execution module is arranged on the switchgear device;
the comprehensive analysis module is used for carrying out comprehensive analysis on the corresponding influence values of all the parameters to obtain a comprehensive value corresponding to the switch cabinet;
the warning analysis module is used for analyzing and processing a warning range corresponding to the switch cabinet, setting an angle coefficient of the warning partition lamp, and matching the value range of the angle coefficient of the warning partition lamp with the comprehensive value to obtain an irradiation angle value; performing color pairing analysis on the integrated value corresponding to the switch cabinet, setting an illumination color threshold of the warning partition lamp, and matching the integrated value corresponding to the switch cabinet with the value range of the illumination color threshold to obtain an illumination color value corresponding to the warning partition lamp; marking the illumination color value and the illumination angle value corresponding to the warning partition lamp as warning information;
the alarm execution module is used for receiving allocation processing signaling and alarm information corresponding to the parameters so as to execute alarm processing operation; when receiving the allocation processing signaling, the illumination angles and the illumination colors of the warning partition lamps are respectively controlled according to the illumination color values and the illumination angle values so as to realize the warning effect.
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