CN112667390A - Icing monitoring data processing system and method combining 5G technology and edge calculation - Google Patents
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Abstract
The invention discloses an icing monitoring data processing system and method combining 5G technology and edge calculation, which realize the localization processing of icing video data based on 5G edge calculation, integrate a hardware unit with calculation capacity to the front end and realize a novel icing video monitoring system with edge calculation capacity. In edge calculation, the calculation typically occurs near the data source, i.e., at the edge of the video data acquisition where the video data is processed. In the process, cost calculation is executed based on the intelligent calculation module, partial or all calculation tasks are executed on the video data collected in real time, and meanwhile, the network transmission advantage of 5G is combined, so that timely response service can be provided for application requests with high real-time requirements, and the problems that in the prior art, an image and video uploading monitoring center is not clear and not timely are solved.
Description
Technical Field
The invention relates to the field of edge computing scheduling, in particular to an icing monitoring data processing system combining a 5G technology and edge computing, and further relates to a method.
Background
The ice and snow cover on the transmission line can often cause accidents such as tripping, wire breaking, pole falling, insulator flashover and communication interruption of the line, and the ice cover on the transmission line can cause safety accidents in Russia, Canada, America, Japan, Britain, Finland, iceland and our country, thereby bringing huge economic loss to many countries. Ice and snow disasters have become a common problem for power grids in many countries. China is one of the countries with serious ice coating on the transmission line, the probability of the occurrence of ice damage accidents on the transmission line is in the forefront of the world, and particularly, the ice and snow disasters occurring in the south of China at the beginning of 2008 bring huge loss to the power grid. The existing high-voltage transmission line icing disaster monitoring and early warning system is structurally divided into three layers, namely a monitoring terminal, a wireless network and a background main station. The terminal is arranged on the power transmission line, is provided with a mechanical parameter sensor, a meteorological parameter sensor and a photographing device, monitors various parameters and images, and transmits data to the master station through a GPRS wireless network. The background master station consists of a server, a database and peripheral equipment, calculates the equivalent ice coating thickness of the line through a calculation model and an analysis algorithm, and displays the meteorological environment parameters and image information of the line through a visual interface.
Due to the fact that the GPRS wireless network is relied on in the prior art, uploaded data are limited at the present stage, the problem that an image and video uploading monitoring center is not clear and timely is caused, the currently transmitted image cannot visually reflect the icing condition, data link communication is often in a blind area, signals are poor, and bandwidth is not enough to transmit a large number of images.
Disclosure of Invention
In view of the above, it is an object of the present invention to provide an icing monitoring data processing system that combines 5G technology and edge calculation. The invention also aims to provide an icing monitoring data processing method combining the 5G technology and the edge calculation, which can overcome the problems in the background art.
The purpose of the first aspect of the invention is realized by the following technical scheme:
an ice cover monitoring data processing system incorporating 5G technology and edge calculations, the system comprising:
the front-end equipment is used for acquiring icing data of the power transmission line;
the MEC is used for receiving the icing data collected by the front-end equipment and carrying out scheduling and processing;
the 5G transmission network transmits the data after the MEC scheduling and processing to a back-end system;
and the back-end system comprises a back-end data center and an intelligent terminal.
In particular, the MEC includes an intelligent perception module, an intelligent computation module, a data analysis module and a real-time control module.
Particularly, the intelligent computing module is a video preprocessing technology based on edge computing, removes redundant information of video images, and enables partial or all video analysis to be migrated to the edge, so that computing, storage and network bandwidth requirements of a data center are reduced, and video image analysis efficiency is improved.
In particular, in the intelligent computing module, when the uploaded collected data is received, the type of the uploaded collected data is determined first, so that the collected data is classified.
The second aspect of the invention is realized by the following technical scheme:
an icing monitoring data processing method combining 5G technology and edge calculation is characterized in that front-end equipment is used for collecting icing data of a power transmission line, the collected icing data is transmitted to an MEC, and after the collected icing data is scheduled and processed by the MEC, the processed data is transmitted to a back-end system through a 5G transmission network; the video data is subjected to the following scheduling processing;
step S1: calculating the calculation cost of the video data calculated at the current edge server, comparing the calculation cost with a preset threshold value, if the calculation cost is greater than the preset threshold value, comparing the calculation cost with the transmission cost transmitted to a background data center, and if the calculation cost is greater than the preset threshold value, transmitting the video data to the background data center through a 5G network for processing;
step S2: and when the calculation cost is less than a preset threshold value, directly processing the video data at the current edge server, and transmitting the processed video data to a background data center through a 5G network.
Step S3: when the calculation cost is larger than a preset threshold value and smaller than the transmission cost, the video data are split by adopting a preset splitting rule, part of the split video data are reserved in the edge server for calculation and then transmitted to the background data center, the other parts of the split video data are directly transmitted to the background data center for processing, the video data processed by the edge server are transmitted to the background data center, and the video data and part of data processed by the background data center are integrated into a data set which can be used for subsequent calling.
In particular, the preset threshold is preset;
the calculation cost is calculated according to the calculation capability of the current edge server, and can be the time cost required for completing the preprocessing of the video data;
in particular, the transmission cost of the back office data center is the time cost of the video data transmission to the back office data center.
Particularly, the time cost is a predicted value, and the time consumed after a data packet is sent to a background data center through a 5G network and then a value is returned is predicted; or the video data can be superposed by combining the time cost of transmission with an estimated time of the processing of the video data in the background data center.
Specifically, the ice-coated video data processing comprises image preprocessing, image segmentation, image contour extraction and line characteristic value calculation image reading;
the purpose of image preprocessing is to remove interference, noise and differences, transform the original image into a form and quality image suitable for computer feature extraction, including transformation, rotation, enhancement, filtering and the like of the image.
The invention has the beneficial effects that: the invention realizes the localization processing of the icing video data based on 5G edge calculation, integrates a hardware unit with calculation capacity to the front end, and realizes a novel icing video monitoring system with edge calculation capacity. In edge calculation, the calculation typically occurs near the data source, i.e., at the edge of the video data acquisition where the video data is processed. In the process, cost calculation is executed based on the intelligent calculation module, part or all of calculation tasks are executed on the video data collected in real time, and meanwhile, the advantage of 5g of network transmission is combined, so that timely response service can be provided for application requests with high real-time requirements.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the present invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
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In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings, in which:
FIG. 1 is a system architecture diagram of the present invention.
Detailed Description
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the preferred embodiments are illustrative of the invention only and are not limiting upon the scope of the invention.
MEC (multiple access edge computing) has become increasingly popular in recent years, and especially the 5G technology has entered the business phase in the last year, which has been more revolutionarily developed, and the definition and framework of MEC comes from ETSI, the european telecommunications standardization institute, as part of the MEC Industry Specification Group (ISG), and starts working at 12 months 2014. The following is the definition of ETSI.
Multi-access edge computing (MEC) provides cloud computing functionality for application developers and content providers, as well as IT service environments at the edge of the network. Such an environment is characterized by ultra-low latency and high bandwidth and real-time access to wireless network information that is available to applications.
MECs run at the edge of the network and are logically independent of the rest of the network, which is important for security-critical applications. In addition, MEC servers typically have high computing power and are therefore particularly well suited to analyzing large amounts of data. Meanwhile, as the MEC is very close to the user or the information source geographically, the time delay of the network for responding to the user request is greatly reduced, and the possibility of network congestion generated by the transmission network and the core network is also reduced. Finally, the MEC at the edge of the network can acquire network data such as base station ID, available bandwidth, etc. and information related to the user location in real time, so as to perform link-aware adaptation, and provide the possibility of deployment for location-based applications, which can greatly improve the user's experience of quality of service.
The core of an MEC is the MEC main layer, which is an entity containing the MEC platform and the virtualization infrastructure, and can be more specifically divided into an MEC virtual infrastructure layer, an MEC platform layer, and an MEC application layer.
The MEC virtualization infrastructure layer is based on a general-purpose server, adopts a calculation, storage and network function virtualization mode to provide calculation, storage and network resources for the MEC platform layer, and plans a communication path between an application program, a service, a DNS server, a 3GPP network and a local network.
The MEC platform layer is a collection of necessary functions to run MEC applications on the virtualization infrastructure architecture, including virtualization management and MEC platform functional components. The virtualization management utilizes the idea that Infrastructure as a Service (IaaS), realizes organization and configuration of MEC virtualized resources, and an application layer provides a flexible and efficient operating environment in which one resource is allocated according to needs and a plurality of applications operate independently. The MEC platform functional component mainly provides various services for the application program, and is opened to specific applications of an application layer through an opened API, and the functions comprise wireless network information service, location service, data plane distribution rule service, accessed persistent storage service, configuration DNS proxy service and the like.
The MEC application is an application program that is executed in a Virtual Machine (VM) mode after functional components of the MEC platform are combined and encapsulated based on a virtualization infrastructure architecture, such as local content fast delivery, internet of things data processing, task migration, and the like. The MEC application possesses a certain number of resource requirements and execution rules, such as required computational and storage resources, maximum latency, required services, which are uniformly managed and configured by the MEC system management layer. The MEC application can be opened to a third-party service operator through a standard interface, so that research and development of innovative services are promoted, and better user experience is realized.
As can be seen from the architecture of the MEC, the mobile network can provide applications such as content caching, ultra-high bandwidth content delivery, local traffic offloading, task migration, etc. for users based on mobile edge computing. It should be noted that task migration enables the terminal to break through hardware limitations, obtain strong computing and data access capabilities, and on the basis, achieve user content perception and resource allocation as required, and greatly enhance user experience. The strengthening of the computing power of the mobile device and the changing of the computing mode of the mobile application by the task migration technology inevitably have a profound influence on the design of the mobile application and the mobile terminal in the future.
As shown in FIG. 1, the ice coating monitoring data processing system combining 5G technology and edge calculation comprises the following components:
(1) front-end equipment: acquiring icing data of the power transmission line, wherein the icing data comprises various sensors and monitoring terminals;
(2) and MEC: the system comprises a front-end device, a data processing device and a data processing device, wherein the front-end device is used for acquiring icing data and dispatching and processing the icing data; in this embodiment, the MEC includes an intelligent sensing module, an intelligent computing module, a data analysis module, and a real-time control module. The intelligent computing module is a video preprocessing technology based on edge computing, removes redundant information of video images, and enables partial or all video analysis to be migrated to the edge, so that computing, storage and network bandwidth requirements of a data center are reduced, and video image analysis efficiency is improved. In the intelligent computing module, when the uploaded collected data is received, the type of the uploaded collected data is determined firstly, so that the collected data is classified;
(3)5G transmission network: transmitting the data after MEC scheduling and processing to a back-end system;
(4) a back-end system: the system comprises a background data center and an intelligent terminal. In this embodiment, the intelligent terminal can adopt the smart mobile phone, the smart tablet and other devices loaded with the APP.
According to the design architecture of the system, the invention also provides an icing monitoring data processing method combining the 5G technology and edge calculation, which is characterized in that front-end equipment is utilized to collect icing data of the power transmission line, the collected icing data is transmitted to the MEC, and after the MEC is scheduled and processed, the processed data is transmitted to a back-end system through a 5G transmission network; the video data is subjected to the following scheduling processing;
step S1: calculating the calculation cost of the video data calculated at the current edge server, comparing the calculation cost with a preset threshold value, if the calculation cost is greater than the preset threshold value, comparing the calculation cost with the transmission cost transmitted to a background data center, and if the calculation cost is greater than the preset threshold value, transmitting the video data to the background data center through a 5G network for processing;
step S2: and when the calculation cost is less than a preset threshold value, directly processing the video data at the current edge server, and transmitting the processed video data to a background data center through a 5G network.
Step S3: when the calculation cost is larger than a preset threshold value and smaller than the transmission cost, the video data are split by adopting a preset splitting rule, part of the split video data are reserved in the edge server for calculation and then transmitted to the background data center, the other parts of the split video data are directly transmitted to the background data center for processing, the video data processed by the edge server are transmitted to the background data center, and the video data and part of data processed by the background data center are integrated into a data set which can be used for subsequent calling.
In this embodiment, the preset threshold is preset and is set as needed.
The calculation cost in this embodiment is calculated according to the calculation capability of the current edge server, and may be a time cost required for completing the preprocessing of the video data;
the transmission cost of the background data center is the time cost for transmitting the video data to the background data center. The estimation can be carried out according to the time consumed after a data packet is sent to a background data center through a 5g network and then a value is returned; since the background data center needs to calculate a certain time cost after receiving the video data, the transmission cost can also be obtained by superposing the transmission time cost and an estimated time of processing the video data in the background data center.
In this embodiment, the processing of the ice-coated video data includes image preprocessing, image segmentation, image contour extraction, and image reading of line characteristic value calculation, and the image preprocessing may be transferred to an edge server for calculation.
The purpose of image preprocessing is to remove interference, noise and differences, and to transform the original image into a form and quality image suitable for computer feature extraction, which includes transformation, rotation, enhancement, filtering, etc. of the image.
The image transformation generally utilizes the properties and characteristics of fourier transform, cosine/sine transform, walsh transform, hadamard transform, wavelet transform, etc. to transform the image into frequency domain or spatial domain for processing, so as to improve the image quality and increase the processing speed.
The image rotation mainly comprises the step of rotating all pixel points forming the image by a certain angle to meet the requirement of data analysis.
The enhancement of the image mainly refers to the utilization of various mathematical methods and transformation means to improve the definition of interested parts in the image, highlight some information in an image and weaken other useless information, including image gray level correction, noise removal, image smoothing, corrosion, sharpening, image edge enhancement and the like.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (9)
1. An icing monitoring data processing system combining 5G technology and edge calculation is characterized in that: the system comprises:
the front-end equipment is used for acquiring icing data of the power transmission line;
the MEC is used for receiving the icing data collected by the front-end equipment and carrying out scheduling and processing;
the 5G transmission network transmits the data after the MEC scheduling and processing to a back-end system;
and the back-end system comprises a back-end data center and an intelligent terminal, wherein the back-end data center is used for receiving and processing the data scheduled and processed by the MEC and sending the data to the intelligent terminal, and the intelligent terminal is used for receiving the back-end data center.
2. The ice coating monitoring data processing system combining 5G technology and edge calculation according to claim 1, wherein: the MEC comprises an intelligent perception module, an intelligent calculation module, a data analysis module and a real-time control module.
3. The ice coating monitoring data processing system combining 5G technology and edge calculation according to claim 2, wherein: the intelligent computing module is based on a video preprocessing technology of edge computing, removes redundant information of video images, and enables partial or all video analysis to be migrated to the edges.
4. The method for processing ice coating monitoring data in combination with 5G technology and edge calculation as claimed in claim 2 or 3, wherein: in the intelligent computing module, when the uploaded collected data is received, the type of the uploaded collected data is determined firstly, and therefore the collected data is classified.
5. An icing monitoring data processing method combining 5G technology and edge calculation is characterized in that: the method comprises the steps that front-end equipment is used for collecting icing data of a power transmission line, the collected icing data are transmitted to an MEC, and the processed data are transmitted to a back-end system through a 5G transmission network after the MEC is scheduled and processed; the video data is subjected to the following scheduling processing;
step S1: calculating the calculation cost of the video data calculated at the current edge server, comparing the calculation cost with a preset threshold value, if the calculation cost is greater than the preset threshold value, comparing the calculation cost with the transmission cost transmitted to a background data center, and if the calculation cost is greater than the preset threshold value, transmitting the video data to the background data center through a 5G network for processing;
step S2: and when the calculation cost is less than or equal to a preset threshold value, directly processing the video data at the current edge server, and transmitting the processed video data to the background data center through the 5G network.
Step S3: when the calculation cost is larger than a preset threshold value and smaller than the transmission cost, the video data are split by adopting a preset splitting rule, part of the split video data are reserved in the edge server for calculation and then transmitted to the background data center, the other parts of the split video data are directly transmitted to the background data center for processing, the video data processed by the edge server are transmitted to the background data center, and the video data and part of data processed by the background data center are integrated into a data set which can be used for subsequent calling.
6. The method for processing ice coating monitoring data in combination with 5G technology and edge calculation as claimed in claim 5, wherein: the preset threshold is preset;
the computation cost is calculated according to the computation capability of the current edge server, and is the time cost required for completing the preprocessing of the video data.
7. The method for processing ice coating monitoring data in combination with 5G technology and edge calculation as claimed in claim 5, wherein: the transmission cost of the background data center is the time cost of transmitting the video data to the background data center.
8. The method for processing ice coating monitoring data according to claim 7, wherein the method comprises the following steps: the time cost is a pre-estimated value, and is estimated by the time consumed after a data packet is sent to a background data center through a 5G network and then a value is returned; or the time cost of transmission is combined with an estimated time of processing the video data in the background data center to obtain the superposition.
9. The method for processing ice coating monitoring data according to claim 7, wherein the method comprises the following steps: the processing of the ice-coated video data comprises image preprocessing, image segmentation, image contour extraction and line characteristic value calculation image reading;
image preprocessing is used to remove interference, noise and differences, transform the original image into a form and quality image suitable for computer feature extraction, including transformation, rotation, enhancement and filtering of the image.
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