CN116206464A - Traffic line visibility monitoring system based on end-edge cloud architecture and application method - Google Patents
Traffic line visibility monitoring system based on end-edge cloud architecture and application method Download PDFInfo
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- CN116206464A CN116206464A CN202310497120.6A CN202310497120A CN116206464A CN 116206464 A CN116206464 A CN 116206464A CN 202310497120 A CN202310497120 A CN 202310497120A CN 116206464 A CN116206464 A CN 116206464A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Abstract
The embodiment of the invention discloses a traffic line visibility monitoring system based on an end-edge cloud architecture and an application method. Traffic along-line visibility monitoring system based on end-edge cloud architecture includes: the system comprises a hardware terminal, an edge computing terminal and a cloud; the hardware terminal is used for accessing each Internet of things sensing terminal device to acquire Internet of things sensing data; the functions of the edge computing end include: data aggregation, data cleaning, feature extraction and material conversion; the cloud terminal at least comprises the following functions: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning. The embodiment can monitor the visibility condition in real time and early warn in time, improves the service analysis efficiency of the visibility monitoring system along the track traffic line, and ensures the running safety of the track traffic.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of visibility monitoring, in particular to a traffic line visibility monitoring system based on an end-to-side cloud architecture and an application method.
Background
The rail transit line visibility monitoring system essentially refers to monitoring of the weather environment along the rail. In popular terms, the visibility system along the track traffic is to arrange an internet of things sensing device such as a weather monitor, a laser and a radar along the track traffic to acquire the visibility information along the track traffic in real time, and then transmit the information to a back-end service system in a wireless transmission mode, wherein the back-end service system server is used for analyzing weather characteristics and visibility fluctuation rules in real time, so that fog area monitoring, traffic early warning control and early warning linkage control are realized.
The rail transit line visibility monitoring system relates to rails, vehicles, weather monitoring equipment, visibility monitoring equipment, power supply, communication, transportation, environmental control and the like, so that rail transit line weather data can be transmitted back and analyzed in real time at the best, and rail transit running conditions can be timely adjusted when early warning information appears. Therefore, an efficient system for monitoring visibility along a traffic line is urgently needed to ensure the running safety of rail traffic.
Disclosure of Invention
In view of the above, the embodiment of the disclosure provides a traffic line visibility monitoring system based on an end-to-edge cloud architecture and an application method thereof, so as to solve the problems of how to efficiently monitor the visibility of a track traffic line and ensure traffic operation safety in the prior art.
In a first aspect of the embodiments of the present disclosure, a traffic line visibility monitoring system based on an end-to-edge cloud architecture is provided, including: the system comprises a hardware terminal, an edge computing terminal and a cloud; the hardware terminal is used for accessing each Internet of things sensing terminal device to acquire Internet of things sensing data; the functions of the edge computing end include: data aggregation, data cleaning, feature extraction and material conversion; the cloud terminal at least comprises the following functions: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning.
In some optional implementations of some embodiments, the above-mentioned internet of things perception data includes at least: visibility information, traffic events; wherein, the visibility information at least includes: video type information, radar video composite type information, laser type information and weather station type equipment information.
In some optional implementations of some embodiments, the above hardware terminal may access the information publishing device through an SDK docking manner, where the information publishing device includes at least one or several of the following: a double-primary color LED screen, a full-color LED screen and a light band composite screen. Here, the information distribution apparatus may further include: the treble horn, the alarm and the fog area anti-collision lamp are used for realizing acousto-optic multidimensional early warning and improving the early warning effect.
In some optional implementations of some embodiments, the data aggregation function of the edge computing end is: and the combination of the internet of things sensing data transmitted through the access component with the existing traffic scheduling data and other three-party data weather early warning data is supported.
In some optional implementations of some embodiments, the cloud includes a base configuration interface, where the base configuration interface is configured to at least: visibility equipment, release equipment, equipment association relation, release plan program list and hierarchical plan.
In a second aspect of the embodiments of the present disclosure, an application method for monitoring visibility along a traffic line based on an end-to-edge cloud architecture is provided, including: connecting a hardware terminal of a traffic line visibility monitoring system based on an end-to-side cloud architecture with an Internet of things sensing terminal device to obtain the Internet of things sensing data obtained through monitoring; processing the Internet of things perception data by using an edge computing end of the traffic line visibility monitoring system to obtain materials; utilizing the cloud end of the traffic line visibility monitoring system to carry out configuration content on a basic configuration interface based on monitoring requirements submitted by users and the materials; and displaying the configured basic configuration interface to the user terminal.
In some alternative implementations of some embodiments, the monitoring requirements include: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning.
In a third aspect of the disclosed embodiments, an electronic device is provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
In a fourth aspect of the disclosed embodiments, a computer-readable storage medium is provided, which stores a computer program which, when executed by a processor, implements the steps of the above-described method.
One of the above embodiments of the present disclosure has the following advantageous effects: the present disclosure provides a traffic line visibility monitoring system based on an end-edge cloud architecture, comprising: the system comprises a hardware terminal, an edge computing terminal and a cloud; the hardware terminal is used for accessing each Internet of things sensing terminal device to acquire Internet of things sensing data; the functions of the edge computing end include: data aggregation, data cleaning, feature extraction and material conversion; the cloud terminal at least comprises the following functions: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning. The traffic line visibility monitoring system based on the end-to-side cloud architecture can monitor the visibility condition in real time and early warn in time, improves the business analysis efficiency of the traffic line visibility monitoring system, and guarantees the running safety of the track traffic.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is an architectural diagram of a traffic line visibility monitoring system based on an end-to-edge cloud architecture in accordance with the present disclosure;
FIG. 2 is a flow diagram of some embodiments of an application method of a traffic line visibility monitoring system based on an end-to-edge cloud architecture in accordance with the present disclosure;
FIG. 3 is an application scenario diagram of some embodiments of a traffic along-line visibility monitoring system based on an end-edge cloud architecture according to the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A traffic line visibility monitoring system and an application method based on an end-to-edge cloud architecture according to embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.
Fig. 1 is an architectural diagram of a traffic line visibility monitoring system based on an end-to-edge cloud architecture according to the present disclosure.
As shown in fig. 1, the traffic line visibility monitoring system based on the end-edge cloud architecture includes: the system comprises a hardware terminal, an edge computing terminal and a cloud; the hardware terminal is used for accessing each Internet of things sensing terminal device to acquire Internet of things sensing data; the functions of the edge computing end include: data aggregation, data cleaning, feature extraction and material conversion; the cloud terminal at least comprises the following functions: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning. The edge computing terminal can perform more complex data cleaning, data fusion and feature extraction on the internet of things sensing data according to service requirements, and finally converts the internet of things sensing data into various materials which can be used by a cloud application layer.
In some optional implementations of some embodiments, the above-mentioned internet of things perception data includes at least: visibility information, traffic events; wherein, the visibility information at least includes: video type information, radar video composite type information, laser type information and weather station type equipment information.
In some optional implementations of some embodiments, the above hardware terminal accesses the information publishing device through an SDK docking manner, where the information publishing device includes at least one or several of the following: a double-primary color LED screen, a full-color LED screen and a light band composite screen.
In some optional implementations of some embodiments, the data aggregation function of the edge computing end is: and the combination of the internet of things sensing data transmitted through the access component with the existing traffic scheduling data and other three-party data weather early warning data is supported.
In some optional implementations of some embodiments, the cloud includes a base configuration interface, where the base configuration interface is configured to at least: visibility equipment, release equipment, equipment association relation, release plan program list and hierarchical plan.
Fig. 2 is a flow diagram of some embodiments of an application method of traffic along-line visibility monitoring based on an end-edge cloud architecture according to the present disclosure. The application method of traffic line visibility monitoring based on the end-edge cloud architecture of fig. 2 can be executed by the traffic line visibility monitoring system based on the end-edge cloud architecture of fig. 1. As shown in fig. 2, the application method of traffic line visibility monitoring based on the end-edge cloud architecture comprises the following steps:
step S201, a hardware terminal of a traffic line visibility monitoring system based on an end-to-edge cloud architecture is utilized to connect with an Internet of things sensing terminal device in an SDK (software digital front) docking mode, and the Internet of things sensing data obtained through monitoring is obtained.
In some embodiments, an execution body of an application method for monitoring the visibility of traffic along a line based on an end-edge cloud architecture (such as the traffic visibility monitoring system based on the end-edge cloud architecture shown in fig. 1) may utilize a hardware terminal of the traffic visibility monitoring system based on the end-edge cloud architecture to connect with an internet of things sensing terminal device in an SDK docking manner, so as to obtain the internet of things sensing data obtained by monitoring. Here, the internet of things perception data at least includes: visibility information, traffic events; wherein, the visibility information at least includes: video type information, radar video composite type information, laser type information and weather station type equipment information.
Step S202, processing the Internet of things perception data by utilizing an edge computing end of the traffic line visibility monitoring system to obtain materials.
In some embodiments, the executing body may process the internet of things sensing data by using an edge computing end of the traffic line visibility monitoring system to obtain the material. Here, the functions of the edge computing terminal include: data aggregation, data cleaning, feature extraction and material conversion. The edge computing end supports combination of the internet of things sensing data transmitted through the access component with existing traffic scheduling data and other three-party data weather early warning data, can perform more complex data cleaning, data fusion and feature extraction on the internet of things sensing data according to service requirements, and is finally converted into various materials for a cloud application layer.
And step 203, utilizing the cloud end of the traffic line visibility monitoring system to perform configuration content on a basic configuration interface based on the monitoring requirements submitted by the user and the materials.
In some embodiments, the executing entity may utilize the cloud end of the traffic line visibility monitoring system to configure content on a basic configuration interface based on the monitoring requirements submitted by the user and the materials. Here, the basic configuration interface is at least used for configuring the following: visibility equipment, release equipment, equipment association relation, release plan program list and hierarchical plan. Monitoring demand the demand may include: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning. As an example, when the monitoring requirement is "fog monitoring", the executing body may configure the content under "visibility device" in the basic configuration interface, so as to start the device to obtain the internet of things sensing data, so as to facilitate fog monitoring.
Step S204, the configured basic configuration interface is displayed to the user terminal.
In some embodiments, the execution body may display the configured basic configuration interface to the user terminal. Along the above example, the execution subject may display a configured basic configuration interface to the user terminal to prompt the user to "monitor". Preferably, when the traffic line visibility monitoring system based on the end-edge cloud architecture obtains a fog monitoring result, the execution body may display the fog monitoring result to the user terminal for the user to know the external visibility condition.
As an example, as shown in fig. 3, when a user puts forward a monitoring requirement of "mist zone statistics", for a data input layer, a front-end internet of things sensing device forms a local area network according to point positions, and video streams and data streams acquired by sensing devices such as a gun ball, a Lei Qiu and the like are structured to obtain original traffic parameters and enter a back-end platform through a data access component. The back-end platform layer reconstructs, processes and calculates the data according to the service requirements, and outputs fog early-warning information and fog statistical information through the fog early-warning component, wherein the fog statistical information can be directly inquired and exported by a user. The safety management and control functional component receives the early warning information of the fog area and displays the early warning information to a user, and after the user performs video auditing and corresponding operation, the component outputs the information of the issued program list number to the information issuing component, and the information issuing component issues the inserted plan content to the induction screen, the relevant management office and the driver cab of the on-duty train. In summary, the final data is output in two parts, one part is output through a fog area rear end platform interface to assist a user in realizing fog area monitoring and data statistics, and the other part is output through auxiliary information release outfield equipment to realize public-oriented traffic early warning or control information release, so that the front end and the rear end can acquire meteorological data information in time, and the rail transit operation safety is ensured.
One of the above embodiments of the present disclosure has the following advantageous effects: the present disclosure provides a traffic line visibility monitoring system based on an end-edge cloud architecture, comprising: the system comprises a hardware terminal, an edge computing terminal and a cloud; the hardware terminal is used for accessing each Internet of things sensing terminal device to acquire Internet of things sensing data; the functions of the edge computing end include: data aggregation, data cleaning, feature extraction and material conversion; the cloud terminal at least comprises the following functions: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning. The traffic line visibility monitoring system based on the end-to-side cloud architecture can monitor the visibility condition in real time and early warn in time, improves the business analysis efficiency of the traffic line visibility monitoring system, and guarantees the running safety of the track traffic. In addition, the traffic line visibility monitoring system based on the end-side cloud architecture realizes centralized management of hardware terminal equipment, superposition calculation of side visibility values and high compliance of cloud side service application with rail traffic management actual combat. The monitoring and early warning of the visibility along the track traffic is based on the accurate detection of the meteorological visibility of a large number of hardware terminal devices, and the real-time feedback and analysis of meteorological monitoring data are realized through centralized management of hardware terminals, so that the services of the track traffic information release, the traffic control and the like are supported, and the actual combat requirement of the track traffic safety operation is met; the front end is used for superposing the visibility value into a picture, and after a user acquires the early warning information, the user can quickly confirm whether the visibility warning information is accurate or not through video monitoring, so that the basis is provided for low visibility early warning and warning, the actual environment is visible and emergency treatment. In addition, the front-end equipment has an event detection function, can identify abnormal train stop information and give an alarm, and can timely manage abnormal trains by management staff, so that secondary accidents can be prevented from occurring after visibility is restored; the cloud side service application early warning popup window, information release, early warning release and other functions are realized according to the preset information configured by the user, and the cloud side service application early warning popup window is highly matched with the traffic emergency handling actual combat of rail traffic in severe weather, so that the service handling efficiency can be improved in an omnibearing manner. The visibility threshold value, the information release content of each stage of plan can be freely configured, and the operation safety of the rail transit along the line network is practically ensured. In practical application, the visibility analysis can be rapidly and effectively carried out, and the security of transportation is ensured.
Any combination of the above optional solutions may be adopted to form an optional embodiment of the present application, which is not described herein in detail.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
Fig. 4 is a schematic diagram of a computer device 4 provided by an embodiment of the present disclosure. As shown in fig. 4, the computer device 4 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps of the various method embodiments described above are implemented by processor 401 when executing computer program 403. Alternatively, the processor 401, when executing the computer program 403, performs the functions of the modules/units in the above-described apparatus embodiments.
Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to complete the present disclosure. One or more of the modules/units may be a series of computer program instruction segments capable of performing a specific function for describing the execution of the computer program 403 in the computer device 4.
The computer device 4 may be a desktop computer, a notebook computer, a palm computer, a cloud server, or the like. The computer device 4 may include, but is not limited to, a processor 401 and a memory 402. It will be appreciated by those skilled in the art that fig. 4 is merely an example of computer device 4 and is not intended to limit computer device 4, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., a computer device may also include an input-output device, a network access device, a bus, etc.
The processor 401 may be a central processing unit (Central Processing Unit, CPU) or other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 402 may be an internal storage unit of the computer device 4, for example, a hard disk or a memory of the computer device 4. The memory 402 may also be an external storage device of the computer device 4, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like, which are provided on the computer device 4. Further, the memory 402 may also include both internal storage units and external storage devices of the computer device 4. The memory 402 is used to store computer programs and other programs and data required by the computer device. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/computer device and method may be implemented in other manners. For example, the apparatus/computer device embodiments described above are merely illustrative, e.g., the division of modules or elements is merely a logical functional division, and there may be additional divisions of actual implementations, multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method of the above-described embodiments, or may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of the method embodiments described above. The computer program may comprise computer program code, which may be in source code form, object code form, executable file or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable medium can be appropriately increased or decreased according to the requirements of the jurisdiction's jurisdiction and the patent practice, for example, in some jurisdictions, the computer readable medium does not include electrical carrier signals and telecommunication signals according to the jurisdiction and the patent practice.
The above embodiments are merely for illustrating the technical solution of the present disclosure, and are not limiting thereof; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the disclosure, and are intended to be included in the scope of the present disclosure.
Claims (9)
1. Traffic line visibility monitoring system based on end limit cloud framework, its characterized in that, traffic line visibility monitoring system based on end limit cloud framework includes: the system comprises a hardware terminal, an edge computing terminal and a cloud; the hardware terminal is used for accessing each Internet of things sensing terminal device to acquire Internet of things sensing data; the edge computing end comprises the following functions: data aggregation, data cleaning, feature extraction and material conversion; the cloud function at least comprises: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning.
2. The end-to-edge cloud architecture based traffic line visibility monitoring system of claim 1, wherein the internet of things awareness data comprises at least: visibility information, traffic events; wherein, the visibility information at least includes: video type information, radar video composite type information, laser type information and weather station type equipment information.
3. The traffic line visibility monitoring system based on the end-edge cloud architecture according to claim 1, wherein the hardware terminal is connected to the information issuing device in an SDK docking mode, and the information issuing device at least comprises one or more of the following: a double-primary color LED screen, a full-color LED screen and a light band composite screen.
4. The traffic line visibility monitoring system based on an end-to-edge cloud architecture of claim 1, wherein the data convergence function of the edge computing end is: and the combination of the internet of things sensing data transmitted through the access component with the existing traffic scheduling data and other three-party data weather early warning data is supported.
5. The end-to-edge cloud architecture based traffic line visibility monitoring system of claim 1, wherein the cloud comprises a base configuration interface for configuring at least: visibility equipment, release equipment, equipment association relation, release plan program list and hierarchical plan.
6. An application method of the traffic line visibility monitoring system based on the end-edge cloud architecture according to claim 1, comprising:
connecting a hardware terminal of a traffic line visibility monitoring system based on an end-to-side cloud architecture with an Internet of things sensing terminal device to obtain the Internet of things sensing data obtained through monitoring;
processing the Internet of things perception data by utilizing an edge computing end of the traffic line visibility monitoring system to obtain materials;
utilizing the cloud end of the traffic line visibility monitoring system to carry out configuration content on a basic configuration interface based on monitoring requirements submitted by users and the materials;
and displaying the configured basic configuration interface to the user terminal.
7. The method for applying the traffic line visibility monitoring system based on the end-edge cloud architecture of claim 6, wherein the monitoring requirements include: fog area monitoring, traffic early warning/control, fog area statistics and rain and snow weather early warning.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 6 to 7 when the computer program is executed.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 6 to 7.
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