CN111538850B - Multi-element sensing data rapid access method based on cloud platform - Google Patents
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Abstract
The invention discloses a multi-element sensing data fast access method based on a cloud platform, wherein a terminal device collects data and sends the data to an edge proxy device; the edge proxy device preprocesses the received data to obtain a preprocessing result; and the edge agent device uploads the received data and the preprocessing result to the main station platform, and the main station platform stores the data according to different data types. The invention provides a cloud platform-based multi-element sensing data fast access method, which classifies multi-element sensing data, including intelligent terminals, videos and sensors; the main station platform adopts a cloud computing platform to store the classified multivariate perception data, breaks through the working mode that the terminal directly sends the data to the main station after acquiring the data in the traditional mode, increases an edge agent device, designs a new data storage method, reduces the impact of expanding and establishing tables on the system, realizes the multisource integration of data, and enriches the timeliness and the breadth of the intelligent perception of the power distribution network.
Description
Technical Field
The invention relates to a cloud platform-based multi-element sensing data fast access method, and belongs to the technical field of intelligent management of a power distribution network.
Background
At present, a power distribution network is an important foundation of an energy internet and is a key link influencing the power supply service level. With the application of technologies such as cloud platforms, big data and Internet of things in the power industry and the diversification of perception information, the technical route of the traditional power industry system is changed, and the promotion of traditional services in the power distribution major and the appearance of new services are promoted. The power distribution internet of things is applied, is a novel power network operation form generated by deep fusion of the traditional industrial technology and the internet of things technology, and can realize comprehensive perception, data fusion and intelligent application of a power distribution network.
The power distribution network has the characteristics of numerous distribution network nodes, wide distribution, huge quantity of measuring equipment and complex and diversified measured data, and causes difficulty in data access, management and fusion. If can unify the distribution information model, realize that data model is standardized, the platyzization, promote distribution network data multisource integrated efficiency, strengthen all kinds of equipment and insert fast, unified managerial ability, will make the perception of the whole operation situation of distribution network more comprehensive to for practicality functions such as electric wire netting running state analysis, risk early warning analysis provide reliable electric wire netting multiple section perception data. Therefore, the rapid access method of the multivariate perception data becomes a basic technical means for analyzing and applying the running state of the distribution network.
Disclosure of Invention
The purpose is as follows: the method aims to solve the problems that in the prior art, under the Internet-oriented environment, the perception information of the power Internet of things is wider, the perception depth and frequency are continuously improved, the number of various terminals on site is continuously increased, the number of accessed measurement data is also continuously increased, and the existing mode cannot meet the requirements of data processing and storage. Therefore, a new data access method is needed, which can meet the sensor access requirements in the scene of the power distribution internet of things, solve the problems caused by expanding the domain and building the table, reduce the pressure of the existing real-time library, and reduce the impact of expanding the domain and increasing the table on the system. The invention provides a multi-element sensing data fast access method based on a cloud platform.
The technical scheme is as follows: in order to solve the technical problems, the technical scheme adopted by the invention is as follows:
a multi-element sensing data fast access method based on a cloud platform comprises the following steps:
the terminal device collects the multivariate perception data and sends the multivariate perception data to the edge proxy device;
the edge proxy device preprocesses the received multivariate perception data to obtain a preprocessing result;
and the edge agent device uploads the received multivariate perception data and the preprocessing result to a cloud computing platform main station platform, and the cloud computing platform main station platform stores the multivariate perception data and the preprocessing result according to different data types.
Preferably, a remote communication module and a local communication module are configured in the edge proxy device, the remote communication module is used for the edge proxy device to communicate with the master station platform, and the local communication module is used for the edge proxy device to communicate with the terminal device.
As the preferred scheme, different APP function software are embedded in the edge proxy device, the APP function software is used for preprocessing received data, and the function self-definition of the terminal device is realized through different combinations of the APP function software.
Preferably, the terminal device includes: intelligent terminal and sensor.
Preferably, the data is multivariate perception data, and the categories of the data include: intelligent terminal class, video class, sensor class.
As a preferred scheme, the data category comprises an intelligent terminal category, a video category and a sensor category;
the cloud computing platform master station platform stores the data according to different data types, and the specific steps are as follows:
(1) for intelligent terminal class data, the data is divided into 5 subclasses: including telemetry, cumulant, parameters, instructions; establishing five tables according to a telemetering standard domain name, a telecommand standard domain name, an cumulant standard domain name, a parameter standard domain name and an instruction standard domain name in a main station platform, and storing 5 subclasses of data corresponding to the five tables;
(2) for the video data, preprocessing the video data by the edge source agent device, and directly storing the processed result into a corresponding table of the platform main station;
(3) the method comprises the steps that data of sensor types are firstly stored in a space domain after being uploaded to a platform main station by an edge source agent device, one space domain comprises data uploaded by an infinite number of sensors, one space domain corresponds to one edge source agent device, and when the edge source agent device needs to increase measurement types, the measurement types are directly increased in the space domain corresponding to the edge source agent device in a new table building mode.
Has the advantages that: the invention provides a cloud platform-based multi-element sensing data fast access method, which classifies multi-element sensing data, including intelligent terminals, videos and sensors; the main station platform adopts the cloud computing platform to store the classified multivariate perception data, breaks through the working mode that the terminal directly sends the main station after acquiring the data in the traditional mode, increases the edge agent device, designs a new data storage method, reduces the impact of expanding domain building tables on the system, realizes the multisource integration of data and enriches the timeliness and the breadth of the intelligent perception of the power distribution network.
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FIG. 1 is a schematic frame diagram of the process of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings.
A multi-element sensing data fast access method based on a cloud platform comprises the following steps:
the terminal device collects the multivariate perception data and sends the multivariate perception data to the edge proxy device;
the edge proxy device preprocesses the received multivariate sensing data to obtain a preprocessing result;
and the edge agent device uploads the received multivariate perception data and the preprocessing result to a cloud computing platform main station platform, and the cloud computing platform main station platform stores the multivariate perception data and the preprocessing result according to different data types.
The edge proxy device is internally provided with a remote communication module for the upper part and a local communication module for the lower part.
Different APP functional software are embedded in the edge proxy device, and the function self-definition of the terminal device is realized through different combinations of the APP functional software.
The terminal device includes: intelligent terminal and sensor.
The multivariate perceptual data categories include: intelligent terminal class, video class, sensor class.
The cloud computing platform master station platform stores the data according to different data types, and the specific steps are as follows:
(1) the data of the intelligent terminal class are divided into 5 subclasses: including telemetry, cumulant, parameters, instructions; and establishing five tables according to the telemetering standard domain name, the telecommand standard domain name, the cumulant standard domain name, the parameter standard domain name and the instruction standard domain name in the main station platform, and storing the 5 subclasses of data corresponding to the five tables.
(2) Preprocessing video stream by the edge source agent device, and directly storing the processed result into a corresponding table of the platform main station;
(3) after being uploaded to a platform master station by an edge source agent device, data of sensors are firstly stored in spatial domains, one spatial domain comprises data uploaded by an infinite number of sensors, one spatial domain corresponds to one edge source agent device, and when the edge source agent device needs to increase measurement types, the measurement types are directly increased in the spatial domain corresponding to the edge source agent device in a form of a newly-built table.
Example 1
The invention aims to solve the problems that the quantity of the access data is huge, the data structures accessed by different manufacturer devices are not uniform, the impact on a system caused by the quick access of multivariate perception data and the continuous expansion of a model device table needs to be considered, and the table is established by expanding the domain, thereby reducing the pressure of the existing real-time library.
As shown in fig. 1, the number of various terminals on site is increasing, the number of accessed measurement data is also increasing, and the existing mode is that mass data is directly uploaded to a master station, which cannot meet the requirement of fast data access. At present, an edge agent device is arranged between an internet of things management cloud platform and a terminal device for data transmission and data preprocessing, and the terminal device comprises intelligent terminals and sensors.
1. And upgrading the architectures of the terminal device and the main station. The intelligent terminal and the sensor in the terminal device are provided with various power distribution equipment state sensing elements, including traditional electric quantities such as monitoring voltage, current and power, and state quantities such as temperature measurement, partial discharge and primary and secondary fusion switches aiming at typical scenes such as a switch station, a power distribution room and a ring main unit. The edge proxy device is internally provided with a remote communication module at the upper part and a local communication module at the lower part, and supports the access of a large amount of sensing equipment of various types in the range of a distribution line and a micro-grid, so that the sensing full coverage of the distribution network is realized; in addition, an operating system and functional software are embedded in the edge proxy device, the distributed edge computing capability is achieved, the edge computing in the power distribution network is supported to achieve data preprocessing and regional autonomy, and the computing burden of a master station is reduced; different APP function software is contained in the edge agent device, and the function self-definition of the terminal device is realized through different combinations of the APPs, so that the terminal device can flexibly configure functions according to different requirements on site, and a technical foundation is laid for flexible access of multi-element sensing data.
2. Different types of the set data are stored on the platform to meet the sensor access requirement under the scene of the power distribution Internet of things, the problem caused by expanding the domain and building the table is solved, and meanwhile, the pressure of the existing platform real-time library is reduced.
The data accessed to the Internet of things management cloud platform is roughly divided into the following 3 types by combing the data of the terminal device and the edge proxy device access platform and combining the requirement of multivariate data interaction:
| data classes | Object of data acquisition |
| Class of intelligent terminals | Primary and secondary fusion switch, power quality harmonic wave and stock equipment model |
| Video class | Camera, unmanned plane, robot (inspection robot, live working robot) |
| Sensors | Temperature and humidity, gas (SF 6, ozone), noise, smog, partial discharge, door control, water immersion and well cover |
The main station platform stores the data according to different data types, and the specific steps are as follows:
(1) the data of the intelligent terminals are divided into 5 subclasses according to the enterprise standard 'ubiquitous power distribution Internet of things intelligent terminal model specification' issued by the national grid company device department: including telemetry, cumulant, parameter, instructions. And 5 small data are correspondingly stored in a master station platform according to a telemetering standard domain name, a remote signaling standard domain name, an cumulant standard domain name, a parameter standard domain name and an instruction standard domain name establishing table. The system comprises a remote sensing standard domain name, a parameter variable standard domain name and a parameter variable standard domain name, wherein the remote sensing standard domain name has 675 (comprising A, B, C phase voltage, A, B, C phase current, zero sequence voltage, zero sequence current and the like), the remote signaling standard domain name has 66 (comprising A phase voltage loss, A phase overcurrent, A phase overload and the like), the accumulated amount standard domain name has 60 (comprising distribution transformation capacity, current unbalance fixed value, voltage unbalance fixed value and the like), the parameter variable standard domain name has 51 (comprising device reset, closing enable and the like), and the instruction standard domain name has 16 (comprising opening enable, opening control and the like).
(2) The data of video class, except conventional electric power data, still relate to and join in marriage video streaming files such as electrical room camera video, unmanned aerial vehicle video of taking photo by plane, robot patrol and examine video, to video processing: preprocessing a video stream (such as a video when a fault occurs, a video for daily inspection and the like) by a video stream file through an edge source agent device, and directly storing a processed result (such as fault occurrence time and power supply reliability) into a corresponding table of a platform main station; the platform master station does not process the video stream, only processes the video result file and is responsible for managing storage and interfaces of the video result file, and different application scenes in the platform master station apply and explain video information, such as video browsing corresponding to alarm information, historical video query and the like;
(3) the data of the sensors are sent to the platform main station through the edge source agent device and then are firstly stored in a space domain, one space domain can contain an infinite number of sensors, one space domain corresponds to one edge source agent device, when the edge source agent device needs to increase the measurement types, the model table structure does not need to be directly changed according to the traditional mode to achieve the purpose of increasing the domains, the association of the sensors and the power grid equipment is realized by means of the space domain, and the measurement types are directly increased in the space domain corresponding to the edge source agent device in a new table building mode. On the premise of not changing the existing table structure, the association between the terminal sensor and the power grid equipment is realized by means of the mapping relation between the space domain and the equipment, and the measurement types are directly added in the space domain corresponding to the equipment model in a newly established table mode. And plug and play of the sensor are realized. Meanwhile, a page maintenance interface is provided on the cloud master station in a B/S mode, and a line, a power distribution room and electrical equipment corresponding to each sensor can be maintained.
The above description is only of the preferred embodiments of the present invention, and it should be noted that: it will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (4)
1. A multi-element sensing data fast access method based on a cloud platform is characterized in that: the method comprises the following steps:
the terminal device collects the multivariate perception data and sends the multivariate perception data to the edge proxy device;
the edge proxy device preprocesses the received multivariate sensing data to obtain a preprocessing result;
the edge agent device uploads the received multivariate perception data and the preprocessing result to a cloud computing platform, and the cloud computing platform stores the multivariate perception data and the preprocessing result according to different data types;
the categories of the multivariate perception data comprise: intelligent terminals, videos and sensors;
the data category comprises an intelligent terminal category, a video category and a sensor category;
the cloud computing platform stores the data according to different data types, and the specific steps are as follows:
(1) for intelligent terminal class data, the data is divided into 5 subclasses: including telemetry, cumulant, parameters, instructions; establishing five tables according to a telemetering standard domain name, a telecommand standard domain name, an cumulant standard domain name, a parameter standard domain name and an instruction standard domain name in a main station platform, and storing 5 subclasses of data corresponding to the five tables;
(2) for the video data, preprocessing the video data by the side source agent device, and directly storing the processed result into a corresponding table of the platform main station;
(3) the method comprises the steps that data of sensor types are firstly stored in a space domain after being uploaded to a platform main station by an edge source agent device, one space domain comprises data uploaded by an infinite number of sensors, one space domain corresponds to one edge source agent device, and when the edge source agent device needs to increase measurement types, the measurement types are directly increased in the space domain corresponding to the edge source agent device in a new table building mode.
2. The cloud platform-based multivariate sensing data fast access method according to claim 1, characterized in that: the edge agent device is internally provided with a remote communication module and a local communication module, the remote communication module is used for the edge agent device to communicate with the main station platform, and the local communication module is used for the edge agent device to communicate with the terminal device.
3. The cloud platform-based multivariate sensing data fast access method according to claim 1, characterized in that: different embedded APP function software of edge agent device, APP function software is used for carrying out the preliminary treatment to the data that receive, realizes terminal device function self-defining through the different combinations of APP function software.
4. The cloud platform-based multivariate sensing data fast access method according to claim 1, characterized in that: the terminal device includes: intelligent terminal and sensor.
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| CN112383626A (en) * | 2020-11-16 | 2021-02-19 | 深圳市友华软件科技有限公司 | Data reporting method and device in Internet of things |
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| CN110351257A (en) * | 2019-06-27 | 2019-10-18 | 绿漫科技有限公司 | A kind of distribution Internet of Things safety access system |
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| CN110401262A (en) * | 2019-06-17 | 2019-11-01 | 北京许继电气有限公司 | GIS device state intelligent monitoring system and method based on edge calculations technology |
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