CN113009869A - Intelligent power maintenance management system - Google Patents
Intelligent power maintenance management system Download PDFInfo
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- CN113009869A CN113009869A CN202110181369.7A CN202110181369A CN113009869A CN 113009869 A CN113009869 A CN 113009869A CN 202110181369 A CN202110181369 A CN 202110181369A CN 113009869 A CN113009869 A CN 113009869A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
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Abstract
The application provides an intelligence electric power maintenance management system includes: the system comprises a power monitoring and collecting device, a remote server and maintenance terminal equipment; wherein, electric power monitoring collection system includes: the sensor module is used for detecting the power signal and converting the power signal into corresponding monitoring data; the preprocessing module is used for receiving the monitoring data of the sensor module and preprocessing the monitoring data; the monitoring control module is used for receiving the monitoring data preprocessed by the preprocessing module and controlling other modules in the power monitoring and collecting device according to the monitoring data; and the monitoring communication module is used for realizing the communication connection between the monitoring control module and the remote server. The intelligent power maintenance management system has the beneficial effects that the intelligent power maintenance management system can dynamically set the front-end acquisition preprocessing strategy through artificial intelligence so as to improve the effectiveness of data acquisition.
Description
Technical Field
The application relates to an electric power maintenance management system, in particular to an intelligent electric power maintenance management system.
Background
The smart grid is the intellectualization (smart power) of the grid, also called "grid 2.0", which is established on the basis of an integrated, high-speed two-way communication network, and achieves the goals of reliability, safety, economy, high efficiency, environmental friendliness and safe use of the grid through the application of advanced sensing and measuring technology, advanced equipment technology, advanced control methods and advanced decision support system technology.
The existing intelligent power system makes more intelligent early warning or control strategies based on data acquisition, analysis and judgment, but the terminal acquisition strategy of the data of the existing intelligent power system is usually considered to be set, so that the problem that the final data analysis result is inaccurate due to acquisition setting is easy to occur.
Disclosure of Invention
In order to solve the disadvantages of the prior art, the present application provides an intelligent power maintenance management system, comprising: the power monitoring and collecting device is used for collecting monitoring data required by power maintenance; the remote server is used for receiving the monitoring data of the power monitoring and collecting device; the maintenance terminal equipment is used for forming data interaction with the remote server so that the remote server can send maintenance data to the maintenance terminal equipment; wherein, electric power monitoring collection system includes: the sensor module is used for detecting the power signal and converting the power signal into corresponding monitoring data; the preprocessing module is used for receiving the monitoring data of the sensor module and preprocessing the monitoring data; the monitoring control module is used for receiving the monitoring data preprocessed by the preprocessing module and controlling other modules in the power monitoring and collecting device according to the monitoring data; the monitoring communication module is used for realizing the communication connection between the monitoring control module and the remote server; wherein the preprocessing of the preprocessing module comprises screening out the monitoring data of the sensor module according to a threshold setting; and the data set by the threshold is sent to the power monitoring and collecting device by the remote server according to a set period.
Further, the sensor module includes: one or more of a temperature sensor, a humidity sensor, a smoke sensor, a voltage sensor, a current sensor and a residual current sensor.
Further, the power monitoring and collecting device further comprises: the power supply module is used for supplying electric energy to the monitoring control module; the power module is electrically connected to the monitoring control module.
Further, the power monitoring and collecting device further comprises: the charging module is used for charging the power supply module; the power module includes: a battery or/and a super capacitor; the charging module is electrically connected to the power module.
Further, the charging module comprises a coupling coil to realize wireless charging.
Further, the power monitoring and collecting device further comprises: the monitoring camera module is used for acquiring image data at the power cable; the monitoring camera module and the monitoring control module form an electric connection.
Further, the remote server includes: the server communication module is used for forming communication connection with the monitoring communication module; the data processing module is used for processing the monitoring data uploaded by the electric power monitoring and collecting device; the data storage module is used for storing the monitoring data uploaded by the electric power monitoring and collecting device; and the data analysis module is used for analyzing the monitoring data uploaded by the power monitoring and collecting device.
Further, the remote server further comprises: and the neural network module comprises a first convolution neural network model, and the first convolution neural network model is formed by training at least the monitoring data uploaded by the electric power monitoring and collecting device.
Further, the remote server further comprises: and the strategy generation module is used for generating a control strategy for controlling the power monitoring and acquisition device according to the data output by the neural network module, and the control strategy at least comprises threshold setting of the preprocessing module.
Further, the neural network module comprises a second convolutional neural network model, and the second convolutional neural network is trained by the image acquired by the detection camera module.
The application has the advantages that: the intelligent power maintenance management system can dynamically set the front-end acquisition preprocessing strategy through artificial intelligence, so that the effectiveness of data acquisition is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a block diagram of an intelligent power maintenance management system according to an embodiment of the present application;
FIG. 2 is a block diagram of a remote server and a power monitoring acquisition device according to one embodiment of the present application;
fig. 3 is a block diagram of a remote server and a maintenance terminal device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Referring to fig. 1 to 3, the intelligent power maintenance management system includes: the system comprises a plurality of power monitoring and collecting devices, a remote server and a plurality of maintenance terminal devices.
Wherein, electric power monitoring collection system sets up power cable or electricity distribution room department, specifically speaking, electric power monitoring collection system is used for gathering the required monitoring data of electric power maintenance.
The remote server is used for receiving monitoring data of the power monitoring and collecting device; the remote server can be one entity server or a cloud server built by a plurality of terminals.
The maintenance terminal device is used for forming data interaction with the remote server so that the remote server can send maintenance data to the maintenance terminal device. Specifically, the maintenance terminal device may include: mobile terminal devices (such as smart phones), fixed terminal devices (PC computers), PDA terminal devices, etc.
As a specific scheme, the electric power monitoring and collecting device comprises: the device comprises a sensor module, a preprocessing module, a monitoring control module, a monitoring communication module, a power supply module, a charging module and a monitoring camera module.
The sensor module is used for detecting the power signal and converting the power signal into corresponding monitoring data; specifically, the sensor module includes: one or more of a temperature sensor, a humidity sensor, a smoke sensor, a voltage sensor, a current sensor and a residual current sensor. The temperature sensor is used for acquiring temperature information in the environment of the power equipment; the humidity sensor is used for acquiring humidity information in the environment of the power equipment; the smoke sensor is used for monitoring the smoke condition in the environment of the power equipment; the voltage sensor is used for acquiring voltage information on the monitored power equipment; the current sensor is used for acquiring current information on the monitored power equipment; the residual current sensor is used for detecting leakage current parameters of the power equipment.
The preprocessing module is used for receiving the monitoring data of the sensor module and preprocessing the monitoring data; the monitoring control module is used for receiving the monitoring data preprocessed by the preprocessing module and controlling other modules in the power monitoring and collecting device according to the monitoring data; the monitoring communication module is used for realizing the communication connection between the monitoring control module and the remote server; the preprocessing of the preprocessing module comprises screening monitoring data of the sensor module according to threshold setting; and the data set by the threshold is sent to the power monitoring and collecting device by the remote server according to a set period.
As a specific scheme, the power supply module is used for providing electric energy for the monitoring control module; the power module is electrically connected to the monitoring control module. The charging module is used for charging the power supply module; the power module includes: a battery or/and a super capacitor; the charging module is electrically connected to the power supply module. The charging module comprises a coupling coil to realize wireless charging.
When the scheme based on NB-IoT communication is adopted, the power monitoring and collecting device adopts a battery to supply power, the battery with low self-discharge can be adopted, meanwhile, as an optimal scheme, the power monitoring and collecting device can be charged in a wireless charging mode, the charging mode is mainly stored in super-power, and the power monitoring and collecting device preferentially uses the electric energy in the super-capacitor when the electric energy is used.
Specifically, the screening mode is that the power monitoring and collecting device is initialized, the power supply module starts to work to provide power for the whole system, and the whole system starts to operate; the sensor module starts to collect data information in real time, including: the environment temperature data, the environment humidity data, the environment smoke data, the equipment voltage data, the equipment current data and the equipment residual current data are sent to the preprocessing module in real time.
The preprocessing module begins to screen the collected data information, and sets 6 thresholds in the data screening device, which are respectively: A. b, C, D, E and F; comparing the obtained temperature data with A, and if the temperature data value is less than A, deleting the temperature data value; if the temperature data value is larger than A, the temperature data is sent to a monitoring control module; similarly, if the humidity data value is less than B, deleting the humidity data value; if the humidity data value is larger than B, the humidity data is sent to a monitoring control module; if the smoke data value is less than C, deleting the smoke data value; if the smoke data value is larger than C, the temperature data is sent to a monitoring control module; if the voltage data value is less than D, deleting the voltage data value; if the voltage data value is larger than D, the voltage data is sent to a monitoring control module; if the current data value is less than E, deleting the current data value; if the current data value is larger than E, the current data is sent to a monitoring control module; if the residual current data value is less than F, deleting the residual current data value; and if the residual current data value is larger than F, the temperature data is sent to the monitoring control module.
The monitoring control module starts to analyze and judge the received data information; first, a time threshold is set: t; counting the times of receiving certain sensor data information within the time threshold range: n; setting a safety time threshold as: m; comparing the counted N value with the counted M value, if N is less than M, not processing, and if N is more than M, generating alarm data; counting the number of alarm data within a set time threshold T: p; setting an early warning threshold value as follows: o; if P is larger than O, a safety early warning command is sent to a remote server; if P is less than O, no treatment is carried out.
If the monitoring control module generates an early warning command, an image acquisition command is sent to the image acquisition device, the monitoring camera module starts to acquire image data of the whole power equipment and equipment environment, and the image data is sent to the processor.
The monitoring control module integrates all the acquired data information, adds an alarm command and then sends the alarm command to the monitoring communication module, and the monitoring communication module can acquire the current network condition and judge which network transmission mode should be selected, so that the effectiveness and reliability of information transmission are ensured to the maximum extent; NB-IoT communication can be selected to send the data information to the cloud monitoring communication module.
And after receiving the data information, the server communication module sends the data information to the data storage module for storage, and sends the alarm command to the maintenance terminal equipment.
After the maintenance terminal equipment receives the alarm command, the reminding device starts to send out a reminding signal; the display device displays the actual image information collected by the monitoring camera module.
Referring to fig. 2 and 3, the remote server includes: the system comprises a server communication module, a data processing module, a data storage module, a data analysis module, a neural network module and a strategy generation module.
The server communication module is used for forming communication connection with the monitoring communication module; the data processing module is used for processing the monitoring data uploaded by the electric power monitoring and collecting device; the data storage module is used for storing monitoring data uploaded by the power monitoring and collecting device; the data analysis module is used for analyzing the monitoring data uploaded by the power monitoring and collecting device.
As a preferred scheme, the neural network module comprises a first convolution neural network model, and the first convolution neural network model is trained by at least monitoring data uploaded by the power monitoring and collecting device.
The strategy generation module is used for generating a control strategy for controlling the power monitoring and acquisition device according to the data output by the neural network module, and the control strategy at least comprises threshold setting of the preprocessing module.
Specifically, a curve graph is generated from historical data, the curve graph and the historical data are used as input data, a correspondingly set threshold value is used as output data, a first convolution neural network model is trained until convergence occurs, then the power monitoring and collecting device uploads all data of the day to a remote server in a specific time period, and the first convolution neural network model generates a second threshold value range for alarm judgment according to the data and the generated curve graph. Of course, a plurality of artificial neural networks may be provided corresponding to different power monitoring parameters.
As a further preferred scheme, the neural network module comprises a second convolutional neural network model, and the second convolutional neural network is trained by the image acquired by the detection camera module.
The second convolutional neural network has the function that whether an accident needing emergency treatment occurs or not can be judged through the second convolutional neural network model when the second convolutional neural network is unattended. Specifically, the power monitoring and acquisition device enables the monitoring camera module to acquire corresponding images as output data for the second convolutional neural network to learn whether the images are abnormal or not as a classification result every set time interval (for example, 1 day or 12 hours). After the training is completed to be convergent, the second convolutional neural network outputs a judgment result and a corresponding confidence coefficient according to the input picture when working, and if the confidence coefficient exceeds a set threshold value, the fault needing emergency treatment is considered to occur.
Referring to fig. 3, the maintenance apparatus includes: the terminal comprises a terminal communication module, a terminal interaction module, a terminal control module, a terminal camera module and a terminal positioning module. Specifically, the mobile terminal device may be configured as a smart phone, the terminal communication module is the communication module thereof, the terminal interaction module may be configured as a touch screen, that is, the lighting navigation map is displayed for the user to operate, the terminal control module and the terminal camera module are divided into a CPU and a camera of the smart phone, and the terminal positioning module may include a UWB positioning chip.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An intelligent power maintenance management system, characterized in that:
the intelligent power maintenance management system comprises:
the power monitoring and collecting device is used for collecting monitoring data required by power maintenance;
the remote server is used for receiving the monitoring data of the power monitoring and collecting device;
the maintenance terminal equipment is used for forming data interaction with the remote server so that the remote server can send maintenance data to the maintenance terminal equipment;
wherein, electric power monitoring collection system includes:
the sensor module is used for detecting the power signal and converting the power signal into corresponding monitoring data;
the preprocessing module is used for receiving the monitoring data of the sensor module and preprocessing the monitoring data;
the monitoring control module is used for receiving the monitoring data preprocessed by the preprocessing module and controlling other modules in the power monitoring and collecting device according to the monitoring data;
the monitoring communication module is used for realizing the communication connection between the monitoring control module and the remote server;
wherein the preprocessing of the preprocessing module comprises screening out the monitoring data of the sensor module according to a threshold setting; and the data set by the threshold is sent to the power monitoring and collecting device by the remote server according to a set period.
2. The intelligent power maintenance management system of claim 1, wherein:
the sensor module includes: one or more of a temperature sensor, a humidity sensor, a smoke sensor, a voltage sensor, a current sensor and a residual current sensor.
3. The intelligent power maintenance management system of claim 2, wherein:
the electric power monitoring and collecting device further comprises:
the power supply module is used for supplying electric energy to the monitoring control module;
the power module is electrically connected to the monitoring control module.
4. The intelligent power maintenance management system of claim 3, wherein:
the electric power monitoring and collecting device further comprises:
the charging module is used for charging the power supply module;
the power module includes: a battery or/and a super capacitor; the charging module is electrically connected to the power module.
5. The intelligent power maintenance management system of claim 4, wherein:
the charging module comprises a coupling coil to realize wireless charging.
6. The intelligent power maintenance management system of claim 1, wherein:
the electric power monitoring and collecting device further comprises:
the monitoring camera module is used for acquiring image data at the power cable;
the monitoring camera module and the monitoring control module form an electric connection.
7. The intelligent power maintenance management system of claim 1, wherein:
the remote server includes:
the server communication module is used for forming communication connection with the monitoring communication module;
the data processing module is used for processing the monitoring data uploaded by the electric power monitoring and collecting device;
the data storage module is used for storing the monitoring data uploaded by the electric power monitoring and collecting device;
and the data analysis module is used for analyzing the monitoring data uploaded by the power monitoring and collecting device.
8. The intelligent power maintenance management system of claim 7, wherein:
the remote server further comprises:
and the neural network module comprises a first convolution neural network model, and the first convolution neural network model is formed by training at least the monitoring data uploaded by the electric power monitoring and collecting device.
9. The intelligent power maintenance management system of claim 8, wherein:
the remote server further comprises:
and the strategy generation module is used for generating a control strategy for controlling the power monitoring and acquisition device according to the data output by the neural network module, and the control strategy at least comprises threshold setting of the preprocessing module.
10. The intelligent power maintenance management system of claim 9, wherein:
the neural network module comprises a second convolution neural network model, and the second convolution neural network is formed by training the images collected by the detection camera module.
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| CN202110181369.7A CN113009869A (en) | 2021-02-09 | 2021-02-09 | Intelligent power maintenance management system |
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