CN113193616B - Health state evaluation method for power transmission channel monitoring equipment - Google Patents
Health state evaluation method for power transmission channel monitoring equipment Download PDFInfo
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- CN113193616B CN113193616B CN202110374066.7A CN202110374066A CN113193616B CN 113193616 B CN113193616 B CN 113193616B CN 202110374066 A CN202110374066 A CN 202110374066A CN 113193616 B CN113193616 B CN 113193616B
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/005—Detection of state of health [SOH]
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Power Engineering (AREA)
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- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a health state evaluation method for power transmission channel monitoring equipment, which is used for analyzing operation data of the power transmission channel image monitoring equipment, evaluating the state of the health condition of the equipment, finding abnormal equipment in time and carrying out operation and maintenance, solves the problem of passive operation and maintenance of the image monitoring equipment, and provides technical support for uninterrupted image acquisition of a power transmission line channel. The method specifically comprises the steps of carrying out statistical analysis on index data of nearly 1-year operation of all power transmission channel monitoring equipment, screening key index quantities capable of reflecting the health state of the equipment, carrying out continuous monitoring on the key index quantity data, carrying out data sampling and preprocessing, carrying out health state assessment on the equipment by combining the design standards of all key indexes, sending early warning if the health state is not good enough, carrying out timely processing by operation and maintenance personnel, and carrying out continuous tracking analysis if the health state is good.
Description
Technical Field
The invention discloses a health state evaluation method for power transmission channel monitoring equipment, belongs to the field of intelligent operation and inspection of power transmission lines, and particularly relates to a method for analyzing operation data of power transmission channel image monitoring equipment, evaluating the state of the health condition of the equipment, finding abnormal equipment in time and carrying out operation and maintenance.
Background
The transmission line is used as an important national infrastructure, and the safety and the stability of the transmission line are related to the production and the life of people. In the process of long-distance electric energy transmission, a power transmission line bears high load and works in an uncertain natural environment, hidden danger threats of different reasons and different types are easily met, the investigation of the hidden dangers of the channel environment becomes one of important operation and inspection items, and the method is one of the most efficient modes at present by collecting images of a power transmission channel through power transmission channel monitoring equipment and then identifying the hidden dangers. Therefore, the stable and reliable operation of the monitoring equipment of the power transmission channel is very important, the current commonly used operation and maintenance mode is fault operation and maintenance, namely, operation and maintenance personnel are arranged to overhaul or replace the equipment on site after a certain monitoring equipment cannot work, the mode is passive, a certain time is needed from the fault to the repair, images cannot be acquired in the period, and the use of a client is influenced.
Chinese patent document CN203102543U discloses a video monitoring equipment fault alarm device. It has solved prior art design technical problem such as reasonable inadequately. The device comprises an alarm signal transmitter arranged on the fault detection device and an alarm signal receiver arranged on an upper computer, wherein the alarm signal transmitter and the alarm signal receiver are connected in a wired and/or wireless mode, the upper computer is connected with a local alarm device and/or an alarm short message sending module, and the alarm short message sending module is connected with at least one mobile terminal through a wireless communication network. However, the document cannot perform real-time monitoring on the health working state of the monitoring equipment which may appear in the future, which easily causes that once a fault alarm of the video monitoring equipment is received, the monitoring equipment is overhauled to enter a vacuum period, and obviously, the overhauling working mode is not suitable for the technical field of power transmission line image acquisition equipment.
Chinese patent document CN111818286A discloses a fault detection system for video monitoring equipment, which includes video monitoring equipment and monitoring equipment connected to the video monitoring equipment through a network input/output interface: the video monitoring equipment mainly comprises an antenna, a GPRS, a power grid voltage detection module, a direct current voltage detection module, an image acquisition module and a processor, and is used for completing acquisition and transmission of image data and detection of equipment working condition data; the processor receives image information acquired by the image acquisition module, power grid voltage data information detected by the power grid voltage detection module and working direct current voltage data information detected by the direct current voltage detection module; the monitoring equipment is used for finishing image abnormity detection and performs data interaction with the mobile terminal through the wireless data transmission module. The patent document is to obtain the working data (image abnormity, working direct current voltage data information, etc.) of the camera through the mobile terminal, and is convenient for the maintenance personnel to overhaul, and the patent document explicitly describes that whether the video monitoring equipment fails or not is comprehensively judged by judging the image and the working direct current voltage data information, but the document does not describe in detail how to realize the prejudgment of the health condition of the monitoring equipment through the working direct current voltage data information of the video monitoring equipment, so that the technical problem of the invention is difficult to solve when the fault detection system is applied to the monitoring field of the power transmission line.
Chinese patent document CN107396094A relates to an automatic detection method for damage of a single camera in a multi-camera monitoring system, which comprises the following specific steps: collecting, and manufacturing a training test sample set; (2) constructing a neural network; (3) Training neural network parameters, and observing network errors until the network converges; (4) And (5) deploying the application by using the trained network, and monitoring in real time. The method adopted by the invention is based on a convolutional neural network, which is developed in recent years and draws great attention as an efficient identification method. The original video image is processed by a series of characteristics such as a convolution layer, a pooling layer, an activation layer and the like, and finally the category of the image is output. Although this patent document can adopt artificial intelligence algorithm to carry out neural network learning and training to the data that the camera gathered, the algorithm in this document only carries out neural network processing to the image that the camera gathered and finally confirms whether the camera appears damaging, however, in the transmission of electricity scene, because image acquisition device is arranged in outdoor bad environment mostly, the environmental condition is abominable, network signal transmission quality also can receive the influence, consequently, the image all probably causes the image abnormal picture in the formation of image stage, transmission phase, but this type of technical disturbance is not necessarily the technical reason that the transmission line image acquisition equipment field of overhauing wanted attention, cause the interference of maintenance warning.
Chinese patent document CN110035260A discloses a whole-course video visual monitoring system for electric power, which relates to the relevant technical field of visual monitoring and comprises a host control terminal, a main power supply and an electric power cabinet, wherein the host control terminal is internally provided with a main control CPU, an information compression module, an information storage module, an information comparison module, a time comparison module, a display processing module, an alarm control module and a camera comprehensive processing module, and the connecting end of the main control CPU is electrically connected with the connecting end of the information compression module in a bidirectional manner. The information storage module and the information compression module can compress and store the information acquired by the monitoring system, so that the information is convenient to search and record, when the camera is damaged or abnormal, the maintenance personnel can be prompted through the alarm, so that the maintenance personnel can maintain the camera in time, the condition that the acquisition of the monitoring system information is influenced by overlong time is prevented, and the information recorded by the camera can be displayed through the display screen so as to be convenient to inquire. Although this patent document can attempt to give an alarm by using an abnormal image, the generation, classification, and determination methods of abnormal data are not suitable for monitoring equipment of a power transmission channel, and it is more difficult to implement an early warning function.
In summary, how to provide an active and feasible method for evaluating the health state of equipment by using big data, the method performs early warning when the health state of the equipment for monitoring the power transmission channel is not good enough while still taking pictures, and upgrades from troubleshooting to state overhaul, and from passive maintenance to active treatment, thereby ensuring that the image acquisition of the power transmission channel is uninterrupted, and providing technical support for intelligent overhaul of the power transmission line.
Disclosure of Invention
Aiming at the defects of the prior art, the invention discloses a health state evaluation method for power transmission channel monitoring equipment. The invention aims to provide an active and feasible equipment health state evaluation method, which is used for analyzing the operation data of the power transmission channel image monitoring equipment, evaluating the state of the health condition of the equipment, finding abnormal equipment in time and carrying out operation and maintenance, solves the problem of passive operation and maintenance of the image monitoring equipment, and provides technical support for the uninterrupted image acquisition of a power transmission channel.
The technical scheme of the invention is as follows:
a health state evaluation method for power transmission channel monitoring equipment is characterized by comprising the following steps:
a. performing statistical analysis on operation index data of all power transmission channel monitoring equipment in a cycle time period, wherein the cycle time period is nearly 1 year; the step a of monitoring the power transmission channel is as follows: the device is used for capturing images of the power transmission channel to judge whether potential safety hazards exist, wherein the monitoring device is powered by a battery, and more preferably a solar panel is used for charging; the operation index data of step a includes but is not limited to: monitoring all index parameters of the operation of the equipment, wherein the index parameters include key operation index quantities used for reflecting the health state of the monitoring equipment in the step b, such as: the method comprises the following steps of power supply voltage, working temperature, battery electric quantity, floating charge state, single continuous working time, network connection state, residual operation memory, residual storage memory, last time of starting the device, repeated drawing times and data packet supplementing times;
b. screening: a key operation index quantity for reflecting the health status of the monitoring device, the key operation index quantity comprises parameters which can reflect the health status of the monitoring device, including but not limited to:
when the monitored operation working parameters of the monitoring equipment exceed the corresponding normal working parameter threshold values, the corresponding real-time working parameter values, for example: reference may be made to the opinion of an industry expert or a product developer, for example, the power supply voltage and the battery power are important concerns for a field image acquisition device (monitoring device), and if the long-term voltage is low and/or the battery power is low, it indicates that the monitoring device is problematic, where the voltage is low and the battery power is low, which means that the voltage is lower than the threshold of the normal operating parameter of the monitoring device, and at this time, the key operation index quantity is a voltage or a power value;
according to the invention, the parameter capable of reflecting the health status of the monitoring device further comprises: when monitoring equipment fails, the following steps can be monitored: analyzing the common abnormality corresponding to the same type of fault of the monitoring equipment of the same family or the same type when the fault type and the real-time working parameter quantity corresponding to the fault exceeding the normal working parameter threshold value are analyzed, for example: when a certain monitoring device cannot shoot a fault, the fault is often accompanied by the condition of overhigh working temperature, and at the moment, the key operation index quantity is the fault type of the monitoring device and the corresponding device operation high-temperature parameter value;
c. continuously monitoring the key operation index quantity in the step b, and sampling and preprocessing data;
d. the health state of the monitoring equipment is evaluated by combining the design standards corresponding to the operation quantities of all key indexes;
according to the invention, the method for evaluating the health state of the monitoring equipment comprises the following steps:
when assessed as healthy state: working parameters in key operation index quantities of the monitoring equipment are all within normal working parameter threshold values, and the monitoring equipment can normally monitor and upload shot pictures to a network;
when the health state is evaluated to be poor: the monitoring equipment can normally monitor and upload the shot picture to the network, but any working parameter in a key operation index quantity of the monitoring equipment exceeds a corresponding normal working parameter threshold value;
when an unhealthy state is assessed: the monitoring equipment cannot monitor the shot image normally or the shot image cannot be uploaded to the network even if the shot image is monitored normally.
The design criteria of step d are operation criteria with definite design criteria, such as power supply voltage.
According to a preferred embodiment of the invention, when the monitoring device is evaluated as unhealthy: and simultaneously acquiring key operation index quantities of the monitoring equipment, and acquiring the quantity exceeding the threshold value and the duration time exceeding the threshold value in real time when any working parameter in the key operation index quantities exceeds the threshold value of the corresponding normal working parameter.
According to the invention, preferably, when the health status of the monitoring device is assessed as not good enough: and meanwhile, collecting key operation index quantities of the monitoring equipment, and collecting the quantity exceeding the threshold value and the duration time exceeding the threshold value in real time.
In the invention, the parameters of the threshold value and the duration time are different due to different types of equipment, so that the parameters can be flexibly set by combining with actual working conditions.
e. When the monitoring equipment is in an unhealthy state or in a poor health state, reminding operation and maintenance personnel to check or overhaul automatically through a network or a handheld intelligent terminal;
and c, repeating the steps c and d when the monitoring equipment is in a healthy state.
According to the invention, the information received by the operation and maintenance personnel through the network or the handheld intelligent terminal includes but is not limited to:
monitoring the reference number of the equipment;
monitoring the health state type of the equipment;
and (3) monitoring the key operation index quantity of the equipment, or acquiring the quantity exceeding the threshold value and the time duration exceeding the threshold value in real time.
According to the present invention, the statistical analysis method of step a is: and performing visual analysis on the operation index data of the monitoring equipment, particularly analyzing the monitoring equipment with faults, and finding out the operation index data with changes before and after the faults of the monitoring equipment, such as continuous reduction of power supply voltage, long-time battery capacity lower than 20%, long-time working temperature higher than 70 ℃ and the like.
Preferably, according to the present invention, the screening rule of the key operation index amount in step b is: and after all the operation indexes of the operation of the monitoring equipment are subjected to statistical analysis, determining an operation index quantity with the highest correlation with the health state of the monitoring equipment. The abnormal operation of the monitoring equipment caused by the software-related problems is avoided by remote upgrading and repairing, and the method does not belong to the technical content to be protected by the invention.
Preferably, the sampling in the step c is to sample the data at a certain time interval, for example, 15 minutes, and since the equipment operation index data is generated every 10 seconds, the result of calculation and analysis performed on the basis of the sampled data and all data is basically consistent, but the calculation amount is reduced by 2 orders of magnitude; the preprocessing is used for improving the reliability of data: preferably, the data is processed by removing an abnormal value and moving an average.
According to the present invention, preferably, the health status of step e is not good enough, the monitoring device can still take a picture and upload it, but the operation status thereof is already abnormal. Failure will probably occur in the future for some time.
Compared with the prior art, the invention has the following advantages and beneficial effects:
aiming at the problem that the process from hidden danger generation to fault generation of the monitoring equipment in the prior art is slow and how to efficiently identify, the invention provides a health state evaluation method for power transmission channel monitoring equipment, which comprises the following steps: the method can effectively identify and evaluate in a hidden trouble period, avoids adverse effects caused by faults, and successfully applies the empirical knowledge to equipment operation and maintenance.
According to the invention, the running data of the power transmission channel image monitoring equipment is analyzed, the state evaluation is carried out on the health condition of the equipment, abnormal equipment is found in time, the problem of passive operation and maintenance of the image monitoring equipment is solved, the upgrading from fault maintenance to state maintenance is realized, the passive maintenance to active disposal is realized, the technical guarantee is provided for the uninterrupted image acquisition of the power transmission channel, and the intelligent level of the operation and the maintenance of the power transmission channel is greatly improved.
Drawings
FIG. 1 is a schematic flow chart of health status evaluation of monitoring equipment in the present invention.
FIG. 2 is a graph of a power supply voltage of a monitoring apparatus ID 99000843097146 in the embodiment of the present invention, in which FIG. 2, the abscissa is time; the ordinate is the supply voltage in v;
FIG. 3 is a graph of the operating temperature of a monitoring device having an ID of 99000843097146 in the embodiment of the present invention, in which FIG. 3, the abscissa is time; the ordinate is the temperature in degrees Celsius.
Detailed Description
The invention is further described below, but not limited thereto, with reference to the following examples and the accompanying drawings.
Examples
In order to improve the intelligent operation and inspection of the transmission line, a large number of visual remote inspection image acquisition devices of transmission channels are installed on an iron tower by a certain power-saving maintenance company, the total number of the devices is 32186, the devices are from the same company and have 3 different models, the 3 devices all record power supply voltage, working temperature, battery capacity, a floating charge state, continuous working time of the time, a network connection state, residual running memory, residual storage memory, starting time of a device last time, repeated drawing, data packet supplementing and other operation indexes, and the recording interval is 10s.
Target: and evaluating the health state of the equipment by analyzing the running data of the equipment, and finding the equipment with poor health state so that operation and maintenance personnel can deal with the equipment before the fault occurs.
Constraint conditions are as follows: 1. all equipment has 1 year operation index data; 2. the operation index data of the equipment can be transmitted to the server in real time, and centralized analysis conditions are provided; 3. the devices are distinguished by unique IDs, and the types of the devices can be distinguished through the IDs.
A health state evaluation method for power transmission channel monitoring equipment comprises the following steps:
a. performing statistical analysis on operation index data of all power transmission channel monitoring equipment in a periodic time period, wherein the periodic time period is nearly 1 year, for example; the step a of monitoring the power transmission channel is as follows: the device is used for capturing images of the power transmission channel so as to judge whether potential safety hazards exist, wherein the monitoring device is powered by a battery, and preferably a solar panel is used for charging; the operation index data of step a includes but is not limited to: monitoring all index parameters of the operation of the equipment, wherein the index parameters include key operation index quantities used for reflecting the health state of the monitoring equipment in the step b, such as: the method comprises the following steps of power supply voltage, working temperature, battery electric quantity, floating charge state, single continuous working time, network connection state, residual operation memory, residual storage memory, last device starting time, repeated drawing times and data packet supplementing times;
b. screening: a key operation index quantity for reflecting the health status of the monitoring device, the key operation index quantity comprises parameters which can reflect the health status of the monitoring device, including but not limited to:
when the monitored operation working parameters of the monitoring equipment exceed the corresponding normal working parameter threshold values, the corresponding real-time working parameter values, for example: reference may be made to the opinion of an industry expert or a product developer, for example, the power supply voltage and the battery power are important concerns for a field image acquisition device (monitoring device), and if the long-term voltage is low and/or the battery power is low, it indicates that the monitoring device is problematic, where the voltage is low and the battery power is low, which means that the voltage is lower than the threshold of the normal operating parameter of the monitoring device, and at this time, the key operation index quantity is a voltage or a power value;
preferably, the parameter that can reflect the health status of the monitoring device further includes: when the monitoring equipment fails, the following steps can be monitored: analyzing the corresponding common abnormality of the same-family or same-class monitoring equipment when the fault type and the corresponding real-time working parameter number exceed the normal working parameter threshold value, such as: when a certain monitoring device cannot shoot a fault, the fault is often accompanied by the condition of overhigh working temperature, and at the moment, the key operation index quantity is the fault type of the monitoring device and the corresponding device operation high-temperature parameter value;
the screening principle of the key operation index quantity in the step b is as follows: and after all the operation indexes of the operation of the monitoring equipment are subjected to statistical analysis, determining an operation index quantity with the highest correlation with the health state of the monitoring equipment. The abnormal operation of the monitoring equipment caused by the software-related problems is avoided by remote upgrading and repairing, and does not belong to the technical content to be protected by the invention.
In this embodiment, according to the statistical analysis in step a, devices of models 990 and 960 are determined, and the key indexes are power supply voltage and battery level; the key index quantities of the 870-model equipment are power supply voltage and working temperature;
c. continuously monitoring the key operation index quantity in the step b, and sampling and preprocessing data; the step c of sampling refers to sampling data at certain time intervals, such as 15 minutes, and verifying that the calculation and analysis results based on the sampled data and all data are basically consistent, but the calculation amount is reduced by 2 orders of magnitude, because the equipment operation index data are generated once every 10 seconds; the preprocessing is used for improving the reliability of data: preferably, the data is processed by removing an abnormal value and moving an average.
Continuously sampling and monitoring the nearly 90-day operation data of each device, which specifically comprises the following steps:
the equipment ID is 990, sampling is carried out at intervals of 15 minutes, 2 operation indexes of power supply voltage and battery electric quantity are monitored, the nearest 8640 points are taken by each operation index, and a moving average value is calculated according to the step length of 4;
the equipment ID is 960, sampling is carried out at 15-minute intervals, 2 operation indexes of the power supply voltage and the battery power are monitored, the nearest 8640 points are taken for each operation index, and the moving average value is calculated according to the step length of 4;
the equipment ID was 870 x, sampling was performed at 15 minute intervals, 2 running indexes of the power supply voltage and the operating temperature were monitored, the nearest 8640 points were taken for each running index, and the moving average was calculated as a step size of 4.
99000843030265:12.4 12.4 12.4 12.4 12.4 12.4 12.4 12.4 12.4 12.4 12.4 12.3 12.4 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.3 12.2 12.3 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.2 12.1 12.2 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12.1 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 11.9 12 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.9 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8 11.8...
The sampled and preprocessed power supply voltage operation data sample of a certain device with the device ID of 99000843030265 is shown above, and a time stamp is not needed because the sampling interval is fixed;
d. the health state of the monitoring equipment is evaluated by combining the design standards corresponding to the operation quantities of all key indexes;
the method for evaluating the health state of the monitoring equipment comprises the following steps:
when assessed as healthy: working parameters in key operation index quantities of the monitoring equipment are all within normal working parameter threshold values, and the monitoring equipment can normally monitor and upload shot pictures to a network;
when the health status is evaluated to be poor: the monitoring equipment can normally monitor and upload the shot picture to the network, but any working parameter in a key operation index quantity of the monitoring equipment exceeds a corresponding normal working parameter threshold value;
when an unhealthy state is assessed: the monitoring equipment cannot monitor the shot image normally or the shot image cannot be uploaded to the network even if the shot image is monitored normally.
The design criteria of step d are operation criteria with definite design criteria, such as power supply voltage.
The design value of the power supply voltage of the devices with models 990 and 960 is 12.0V, and the battery capacity is recorded in percentage; the device model 870 has a design value of power supply voltage of 10.1V and a working temperature of-5 deg.C to 50 deg.C. Positioning abnormal equipment according to the following strategies:
the device ID is 990, the latest 960 sampling points of the power supply voltage are in a continuous descending trend, and the latest sampling points are lower than the designed value by 90%, namely 10.8V or the latest 288 sampling points of the battery charge are lower than 20%;
the device ID is 960, the last 960 sampling points of the power supply voltage are in a continuous descending trend, and the last sampling points are lower than the designed value by 90%, namely 10.8V or the last 288 sampling points of the battery power are lower than 20%;
the ID of the equipment is 870, the latest 960 sampling points of the power supply voltage show a continuous descending trend, and the latest sampling points are lower than the designed value by 90 percent, namely 9.09V or the latest 48 sampling points of the working temperature are all higher than 70 ℃;
99000841456535 99000816489498 99000814498488 99000848415584 99000816514984 99000823156885 99000823516488 99000803215648 99000848949156 99000810256165 99000805614435 99000814461315 99000814946548 99000889412321 96000843030265 96000164316813 96000145864126...
based on the above rules, 65 devices with poor health status are found out, accounting for about 0.2% of the total device quantity, and as shown above, part of the device IDs are mainly hidden troubles concentrated on the fact that the battery power is continuously at a low level.
When the monitoring device is assessed as unhealthy: and simultaneously acquiring key operation index quantities of the monitoring equipment, and acquiring the quantity exceeding the threshold value and the duration time exceeding the threshold value in real time when any working parameter in the key operation index quantities exceeds the threshold value of the corresponding normal working parameter.
When the health status of the monitoring equipment is evaluated to be not good enough: and meanwhile, collecting key operation index quantities of the monitoring equipment, and collecting the quantity exceeding the threshold value and the duration time exceeding the threshold value in real time.
In the invention, the parameters of the threshold value and the duration time are different due to different types of equipment, so that the parameters can be flexibly set by combining with actual working conditions.
e. When the monitoring equipment is in an unhealthy state or in a poor health state, reminding operation and maintenance personnel to check or overhaul automatically through a network or a handheld intelligent terminal; in this embodiment, an early warning is sent to the equipment with the poor health status found in step d, and the operation and maintenance personnel is notified to confirm and dispose of the equipment;
and c, repeating the steps c and d when the monitoring equipment is in a healthy state.
The information received by the operation and maintenance personnel through the network or the handheld intelligent terminal includes but is not limited to:
monitoring the reference number of the equipment;
monitoring the health state type of the equipment;
and (3) monitoring the key operation index quantity of the equipment, or acquiring the quantity exceeding the threshold value and the time duration exceeding the threshold value in real time.
The statistical analysis method of the step a comprises the following steps: and performing visual analysis on the operation index data of the monitoring equipment, particularly analyzing the monitoring equipment with faults, and finding out the operation index data with changes before and after the faults of the monitoring equipment, such as continuous reduction of power supply voltage, long-time battery capacity lower than 20%, long-time working temperature higher than 70 ℃ and the like.
And e, if the health state is not good enough, the monitoring equipment can still shoot and upload pictures, but the running state of the monitoring equipment is abnormal. Failure will probably occur in the future for some time.
In the embodiment, the evaluation of the health state of the equipment is realized by analyzing the historical operating data of the image monitoring equipment of the power transmission channel and continuously monitoring the real-time data, abnormal equipment is found in time, the upgrade from fault maintenance to state maintenance is realized, the problem of passive operation and maintenance of the image monitoring equipment is solved, and the technical support is provided for the uninterrupted image acquisition of the power transmission channel.
Claims (5)
1. A health state evaluation method for power transmission channel monitoring equipment is characterized by comprising the following steps:
a. performing statistical analysis on operation index data of all power transmission channel monitoring equipment in a periodic time period;
b. screening: a key operation index quantity for reflecting the health status of the monitoring device, wherein the key operation index quantity comprises parameters which can reflect the health status of the monitoring device, and the key operation index quantity comprises but is not limited to:
when the monitored operation working parameters of the monitoring equipment exceed the corresponding normal working parameter threshold values, the corresponding real-time working parameter number is obtained;
c. continuously monitoring the key operation index quantity in the step b, and sampling and preprocessing data;
d. the health state of the monitoring equipment is evaluated by combining the design standards corresponding to the operation quantities of all key indexes;
e. when the monitoring equipment is in an unhealthy state or in a poor health state, reminding operation and maintenance personnel to check or overhaul automatically through a network or a handheld intelligent terminal;
when the monitoring equipment is in a healthy state, repeating the steps c and d;
the parameters capable of reflecting the health state of the monitoring equipment further comprise:
when the monitoring equipment fails, the following steps can be monitored: analyzing corresponding common abnormality of the same-class or same-class monitoring equipment when the fault type and the corresponding real-time working parameter number exceed the normal working parameter threshold value;
when assessed as healthy state: working parameters in key operation index quantities of the monitoring equipment are all within normal working parameter threshold values, and the monitoring equipment can normally monitor and upload shot pictures to a network;
when the health status is evaluated to be poor: the monitoring equipment can normally monitor and upload the shot picture to the network, but any working parameter in the key operation index quantity of the monitoring equipment exceeds the threshold value of the corresponding normal working parameter;
when an unhealthy state is assessed: the monitoring equipment cannot normally monitor and shoot or cannot upload shot pictures to a network even if the monitoring equipment normally monitors and shoots;
when the monitoring device is evaluated as unhealthy: meanwhile, key operation index quantities of the monitoring equipment are collected, and when any working parameter in the key operation index quantities exceeds a corresponding normal working parameter threshold value, the quantity exceeding the threshold value and the duration time exceeding the threshold value are collected in real time;
when the health state of the monitoring equipment is evaluated to be not good enough: and meanwhile, collecting key operation index quantities of the monitoring equipment, and collecting the quantity exceeding the threshold value and the duration time exceeding the threshold value in real time.
2. The health status assessment method for power transmission channel monitoring equipment according to claim 1, wherein the information received by the operation and maintenance personnel through a network or a handheld intelligent terminal includes but is not limited to:
monitoring the reference number of the equipment;
monitoring the health state type of the equipment;
and (3) monitoring the key operation index quantity of the equipment, or acquiring the quantity exceeding the threshold value and the time duration exceeding the threshold value in real time.
3. The health state evaluation method for the power transmission channel monitoring equipment according to claim 1, wherein the statistical analysis method of the step a is as follows: and carrying out visual analysis on the operation index data of the monitoring equipment, particularly analyzing the monitoring equipment with the fault, and finding out the operation index data with the corresponding change before and after the fault of the monitoring equipment.
4. The method for evaluating the health state of the power transmission channel monitoring equipment according to claim 1, wherein the screening principle of the key operation index quantities in the step b is as follows: and after all running indexes of the running of the monitoring equipment are subjected to statistical analysis, a running index quantity with the highest correlation with the health state of the monitoring equipment is determined.
5. The method as claimed in claim 1, wherein the step c of sampling is to sample the data at certain time intervals, remove outliers from the data, and perform a moving average process.
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| CN111768082A (en) * | 2020-06-02 | 2020-10-13 | 广东电网有限责任公司 | Power equipment state evaluation method based on big data analysis |
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