WO2023143604A1 - 用于危化品车辆的事故应急处理方法、装置、和系统 - Google Patents

用于危化品车辆的事故应急处理方法、装置、和系统 Download PDF

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Publication number
WO2023143604A1
WO2023143604A1 PCT/CN2023/073826 CN2023073826W WO2023143604A1 WO 2023143604 A1 WO2023143604 A1 WO 2023143604A1 CN 2023073826 W CN2023073826 W CN 2023073826W WO 2023143604 A1 WO2023143604 A1 WO 2023143604A1
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Prior art keywords
accident
scene linkage
video surveillance
equipment
accident handling
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PCT/CN2023/073826
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English (en)
French (fr)
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WO2023143604A9 (zh
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范琳翊
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京东方科技集团股份有限公司
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Publication of WO2023143604A1 publication Critical patent/WO2023143604A1/zh
Publication of WO2023143604A9 publication Critical patent/WO2023143604A9/zh

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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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis
    • 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Definitions

  • the present application relates to the technical field of the Internet of Things, and more specifically, to a method, device, and system for emergency handling of hazardous chemical vehicles based on the Internet of Things.
  • Hazardous chemicals refer to chemicals that are flammable, explosive, poisonous, harmful, and radioactive, and are likely to cause casualties and property damage during transportation, loading, unloading, and storage, and require special protection.
  • hazardous chemicals vehicles in this article the emergency treatment plan for accidents involving vehicles transporting hazardous chemicals (collectively referred to as hazardous chemicals vehicles in this article) is usually handled after the diffusion of hazardous chemicals, so it is not timely, and the processing speed is slow, which may give The masses of the people have caused huge economic and spiritual losses.
  • the handling of certain accidents (fires) of hazardous chemical vehicles requires cross-departmental assistance from traffic police, firefighting, police, and municipal departments. Not covered.
  • a method for accident emergency handling of dangerous chemical vehicles based on the Internet of Things including: acquiring video monitoring data from video monitoring equipment at a preset location; data to determine whether there is a hazardous chemical vehicle in the accident; and in the case of the hazardous chemical vehicle in the accident, start the scene linkage processing, wherein the scene linkage processing includes controlling the accident processing equipment to execute the accident processing action and Notification processing, wherein the scenario linkage processing is based on pre-configured scenario linkage rules, the scenario linkage rules define the general trigger conditions for the video surveillance equipment used to start the scenario linkage processing, and define the accident handling
  • the device performs accident handling actions and notification handling methods.
  • an IoT-based system for accident emergency handling of hazardous chemical vehicles including: a first cloud server, used to obtain video surveillance from a video surveillance device at a preset location data; the second cloud server is used to determine whether based on the video monitoring data There is a dangerous chemical vehicle in an accident; and the Internet of Things business platform is used to start the scene linkage processing when there is a dangerous chemical vehicle in the accident, wherein the scene linkage processing includes controlling the accident processing equipment to execute Accident handling actions and notification processing, wherein the scene linkage processing is based on a pre-configured scene linkage rule, and the scene linkage rule defines a general trigger condition for the video monitoring device for starting the scene linkage processing, and Defines how the fault handling device executes fault handling actions and notifies processing.
  • an IoT-based device for accident emergency handling of hazardous chemical vehicles including: an acquisition module, configured to acquire video surveillance data from a video surveillance device at a preset location; The accident vehicle determination module is used to determine whether there is a dangerous chemical vehicle in the accident based on the video monitoring data; and the scene linkage processing module is used to start the scene linkage when there is a dangerous chemical vehicle in the accident processing, wherein the scene linkage processing includes controlling the accident handling equipment to perform accident handling actions and notification processing, wherein the scene linkage processing is based on a pre-configured scene linkage rule, and the scene linkage rule defines the The linkage processing is aimed at the general triggering condition of the video surveillance equipment, and defines the manner in which the accident handling equipment executes the accident handling action and notifies the processing.
  • an Internet of Things-based device for accident emergency handling of hazardous chemical vehicles including: one or more processors; one or more memories, on which computer programs are stored , the computer program, when executed by the one or more processors, implements the method as described above.
  • a computer-readable storage medium which stores a computer program.
  • the processor executes the Internet of Things-based dangerous chemical Each step of the method for vehicle accident emergency handling.
  • a computer program product including a computer program.
  • the computer program When the computer program is executed by a processor, various aspects of the accident emergency handling for hazardous chemical vehicles based on the Internet of Things as described above are implemented. step.
  • the embodiment of the present application uses technical means such as the Internet of Things, big data analysis, artificial intelligence, etc., and through scene linkage processing, it can carry out efficient emergency response to hazardous chemical vehicle accidents, reduce the loss of personnel and property as much as possible, and through scene linkage
  • the notification processing can realize cross-departmental information synchronization and information sharing, and remotely control the accident handling equipment through the Internet of Things technology to carry out adequate emergency disposal.
  • Figure 1 shows a simple schematic diagram of the object model.
  • 2A-2C show schematic diagrams of a system for accident emergency handling of hazardous chemicals vehicles based on the Internet of Things according to an embodiment of the present application.
  • Fig. 3 shows a schematic flowchart of a method for emergency handling of hazardous chemical vehicles based on the Internet of Things according to an embodiment of the present application.
  • FIG. 4 shows a process diagram of a specific example of the method described with reference to FIG. 3 .
  • Fig. 5 shows a schematic diagram of the process when the administrator configures (creates) the scenario linkage rule.
  • FIG. 6 shows a simplified schematic diagram of a configuration interface of scenario linkage rules.
  • Fig. 7 shows a schematic diagram of a display interface for hazardous chemical vehicle monitoring.
  • Fig. 8 shows a structural block diagram of an IoT-based device for emergency handling of hazardous chemical vehicles according to an embodiment of the present application.
  • FIG. 9 shows a structural block diagram of an IoT-based device for emergency response to hazardous chemical vehicles according to an embodiment of the present application.
  • Cloud generally includes one or more devices with processing functions (for example, servers), which perform main computing functions in the Internet of Things (for example, artificial intelligence calculation, big data analysis, etc.), and communicate with the device side Connected with the application side, data/information can be obtained from the device side and processed, and then the processed data/information can be sent to the application side, and vice versa.
  • processing functions for example, servers
  • main computing functions for example, artificial intelligence calculation, big data analysis, etc.
  • the object model refers to the digitization of the entity in the physical space and the construction of the data model of the entity in the cloud (including the Internet of Things business platform).
  • defining the object model is defining the function of the product device.
  • the system will automatically generate the physical model of the product.
  • the physical model describes what the product is, what it can do, and what services it can provide externally.
  • the thing model divides the functional types of product equipment into three categories: attributes, services (also called actions) and events. Attributes are generally used to describe the state of the device when it is running, such as the current ambient temperature monitored by the environmental monitoring device. Among them, attributes support GET and SET request methods, and attributes can be read and set.
  • Service refers to the ability or method of a device that can be called externally, and input parameters and output parameters can be set. Compared with attributes, a service can implement more complex business logic by issuing a command, such as making a product device perform a specific task or action, and can get the response to perform the task or action.
  • An event refers to an event when a product device is running. An event generally contains notification information that needs to be perceived and processed externally, and can contain multiple output parameters.
  • the product device can report the relevant information of attributes and events to the cloud IoT service platform, and after data format conversion and field mapping relationship, it can be used as the actual value of the corresponding attribute in the object model or the event type of the event parameter.
  • the server can control the state of the product device by setting the value of the attribute in the object model (for example, selecting from a predefined value range), or send a service control command to the product device, so that the product device performs the corresponding action .
  • Scene linkage In the same application scenario, when a specific event occurs, multiple devices perform actions sequentially or simultaneously, and form a situation in which multiple devices work together to achieve a preset purpose. For example: When a fire accident occurs in a video surveillance screen on a certain road, the following situations will occur on the road: 1The whistle broadcast on the roadside sounds a warning sound, 2The smart terminal for roadside fire extinguishing is activated by the cloud server, and can Start the corresponding switch for fire extinguishing treatment, 3 Notify the alarm information to the hand-held terminal of the traffic police officer on duty on the road, and at the same time notify the nearby fire brigade of the alarm situation, etc.
  • Hazardous chemical vehicle identification through cloud-based visual image recognition technology, identify specific hazardous chemical marks on vehicles transporting hazardous chemicals, and identify vehicle information such as license plate numbers and models at the same time.
  • 2A-2C show schematic diagrams of a system for accident emergency handling of hazardous chemicals vehicles based on the Internet of Things according to an embodiment of the present application.
  • one or more video surveillance devices for example, cameras
  • the cloud server 220 obtains video surveillance data from the video surveillance device (first terminal device), For example, based on the RTSP protocol, specific video monitoring equipment is used to pull streams, and the acquired video monitoring data is analyzed, such as using the recognition algorithm based on artificial intelligence (AI) in the computer vision processing algorithm to determine whether there is a danger of an accident.
  • AI artificial intelligence
  • the cloud server 220 sends a service control command to the accident handling device 230 (second terminal device), so that the accident handling device 230 Perform accident handling actions (for example, for a fire, control the opening of the irrigation water valve and/or dry powder fire extinguishing device near the accident location, start the broadcast system on the smart light pole, play prompt information on the smart screen, etc.), in addition, also Accident information can be notified to relevant departments (for example, municipal administration, fire protection, traffic police, etc.)
  • scene linkage can be carried out in time, which improves the speed and efficiency of emergency response, reduces the impact on the public and ensures The personal and property safety of the public.
  • the cloud server 220 can realize human-computer interaction through an interactive interface, for example, displaying video surveillance images on the front-end page at the client, displaying device locations based on geographic information service GIS, and displaying accident-related information. , displaying the recognition result of the video monitoring screen, etc., and may also obtain user input information from the interactive interface, such as obtaining information for creating scene linkage rules described later.
  • the cloud server 220 can include one or more servers.
  • the cloud server 220 can include an AI cloud service 220-1 (hereinafter also referred to as an AI server) and an Internet of Things business platform 220 according to logical function divisions. -2.
  • Both the AI cloud service 220-1 and the IoT service platform 220-2 can be implemented by one or more processing devices (hardware, software or a combination thereof) with processing functions, for example, one or more servers.
  • the AI cloud service 220-1 analyzes the video surveillance data obtained from the video surveillance equipment based on an AI algorithm (for example, using an AI recognition model), obtains the recognition result, and then transmits the recognition result to the Internet of Things business platform 220-2, Based on the identification result, the networked business platform 220-2 determines that there is a dangerous chemical vehicle in an accident, and thus starts scene linkage, for example, sends a service control command to the accident handling device to control it to perform accident handling actions, and sends relevant Departments and the public will be notified.
  • an AI algorithm for example, using an AI recognition model
  • the Internet of Things business platform 220-2 stores the object models of the video surveillance equipment and the accident handling equipment, so that the management and control of various equipment can be realized through the equipment management protocol (such as http protocol) based on the object model, as shown in Fig. 1 above.
  • the scene linkage rules in the embodiment of the present application can also be created based on the object model, as will be described later.
  • the cloud server 220 can also include a video cloud service 220-3.
  • the video cloud service can also be processed by one or more processing devices (hardware, software or a combination thereof) with processing functions.
  • processing devices hardware, software or a combination thereof
  • Video cloud services may include video cloud servers and streaming media servers.
  • the streaming media server actively or passively obtains video surveillance data from video surveillance equipment.
  • the Internet of Things service platform 220-2 can obtain the video surveillance data of a specific video surveillance device from the video cloud service for display or other purposes, for example, by sending instruction information such as a channel and address list to the video cloud service to point to a specific video The video monitoring data of the monitoring equipment, as shown in step 1.
  • the Internet of Things business platform 220-2 can also obtain the recognition result of the video surveillance data of a specific video surveillance device from the AI cloud service 220-1, so as to determine whether to start scene linkage processing or other purposes, for example, by sending the AI cloud service such as The instruction information of the channel and address list instructs the AI cloud service to only identify the data of a specific video surveillance device, as shown in step 2.
  • the streaming media server can send the video monitoring data to the AI cloud service based on the request of the AI cloud service 220-1, or actively send the video monitoring data to the AI cloud service, as shown in step 3.
  • the AI cloud service 220-1 when it is recognized that there is a dangerous chemical vehicle in an accident, the AI cloud service 220-1 will also extract the warning picture (video frame), and generate warning information (for example, including license plate information, vehicle type, etc.) , but because the AI cloud service generally does not save the recognition results and related pictures or videos to achieve efficient operation, it can save the alarm pictures of the identified accidents to one or more storage devices associated with the Internet of Things business platform 220-2.
  • device for example, a database
  • the IoT service platform 220-2 can obtain the alarm picture and alarm information from the device (for example, it can be uploaded to the database in advance).
  • the server subscribes to the alarm information and obtains it, as shown in step 5), so as to perform corresponding scene linkage processing.
  • the IoT service platform can also perform human-computer interaction with external terminals (such as clients) to display alarm information and obtain input information, as shown in step 6.
  • external terminals such as clients
  • FIG. 2C the Internet of Things service platform 220-2, associated devices with storage capabilities, and terminals for realizing human-computer interaction are shown as an Internet of Things platform side.
  • the embodiment of this application uses technical means such as the Internet of Things, big data analysis, and artificial intelligence to carry out efficient emergency response to accidents of hazardous chemical vehicles, which are mainly reflected in: First, using artificial intelligence algorithms to automatically identify accidents of hazardous chemical vehicles , and can find the nearest accident handling equipment near the accident location through, for example, geographic information service GIS and/or big data analysis, and use the Internet of Things technology to start the accident handling equipment controlled by the city municipal department to give priority to accident handling, reducing personnel and loss of property; second, notify the relevant departments (such as fire brigade, traffic police, municipal council, etc.) And/or big data analysis and scheduling of dispatchable resources around the accident, remote control of the accident handling equipment through the Internet of Things technology, and adequate emergency response; fourth, after the event, through big data analysis, trace the course of the incident, quickly locate and analyze the accident cause of occurrence.
  • GIS geographic information service
  • big data analysis such as fire brigade, traffic police, municipal council, etc.
  • Fig. 3 shows a schematic flowchart of a method for emergency handling of hazardous chemical vehicles based on the Internet of Things according to an embodiment of the present application.
  • the method may be performed by a cloud server as described with reference to FIGS. 2A-2C , and the cloud server may include one or more different servers.
  • step S310 video surveillance data is acquired from a video surveillance device at a preset location.
  • video surveillance data is pulled from at least one video surveillance device set at a preset location, for example, the preset location of a lane in some specific areas (for example, a relatively densely populated area, an area with a large traffic flow) Or focus on monitoring the bayonet positions, and obtain corresponding video monitoring data from the video monitoring equipment arranged at these positions.
  • a preset location for example, the preset location of a lane in some specific areas (for example, a relatively densely populated area, an area with a large traffic flow)
  • some specific areas for example, a relatively densely populated area, an area with a large traffic flow
  • the video cloud service in the cloud server has obtained all the video surveillance data, and the IoT service platform can pull video surveillance data related to a specific video surveillance device from the video cloud service through a streaming protocol (for example, rtsp).
  • a streaming protocol for example, rtsp
  • step S320 it is determined based on the video monitoring data whether there is a hazardous chemical vehicle in an accident.
  • an AI model is used to identify whether there is a hazardous chemical vehicle, and if there is a hazardous chemical vehicle, based on the video surveillance data, an AI model is used to identify whether the hazardous chemical vehicle has an accident.
  • the AI model may be a trained object recognition model based on computer vision processing.
  • the appearance of vehicles transporting hazardous chemicals is generally marked with a marked hazardous chemical mark, and some may even be marked with a standard symbol of the type of hazardous chemical or the name of the hazardous chemical, so for example, the AI in Figure 2C
  • the cloud service can use the AI model to identify hazardous chemicals for each video frame of the acquired video surveillance data. After identifying the presence of hazardous chemicals, the identification information such as time, location, and captured images (video frames) will be sent.
  • the AI model can also be used to identify The captured images (video frames) of dangerous chemical vehicles are used to identify the salient features of the accident (for example, identifying smoke and open flames in the event of a fire accident), and then send the identification results to the Internet of Things business platform.
  • the type of hazardous chemicals can also be determined. For example, if an AI model is used to identify the name of a hazardous chemical through an image, the name of the hazardous chemical will be sent to the IoT business platform together with the above identification results, and then the IoT business platform will determine the name based on the identified hazardous chemical name
  • the type of hazardous chemicals for example, by querying the associated database; for another example, after an accident, the type of hazardous chemicals can be further identified based on the characteristics of the accident, because for different types of hazardous chemicals , the color of the fire light may be different when a fire occurs.
  • the type of hazardous chemical material can be further identified based on the color of the fire light, and sent to the Internet of Things business platform together with the above identification results.
  • the fire part in the collected image can be intercepted, scaled, etc., and the image processing technology (such as interpolation, etc.) is used to improve the resolution of the intercepted and scaled image, and then Then identify the color of the fire.
  • the type of hazardous chemicals After the type of hazardous chemicals is identified, it can be used to more accurately adopt appropriate accident handling equipment (fire extinguishing equipment) in subsequent steps.
  • the AI model can be obtained by training through a preset training sample set, and can include multiple sub-models.
  • the first sub-model is a model for identifying whether a specific accident (fire) occurs, and the training sample set It can include positive samples of accidents and negative samples of no accidents;
  • the second sub-model is a model for identifying the type of hazardous chemicals, and the training sample set can include training samples of multiple categories, each category corresponds to a hazard Chemical type, each sample is an image including flames, and is marked with a hazardous chemical type.
  • the present disclosure does not limit the type and training method of the AI model, and the AI model can be designed and trained differently according to actual needs.
  • step S330 if there is a hazardous chemical vehicle in the accident, start the scene linkage processing, wherein the scene linkage processing includes controlling the accident handling equipment to execute the accident handling action operation and notification processing.
  • the scene linkage processing is based on a pre-created scene linkage rule
  • the scene linkage rule defines a general trigger condition for the video monitoring device for starting the scene linkage processing, and defines the accident handling equipment execution accident Actions are handled and how notifications are handled.
  • each video surveillance device is associated with at least one accident handling device, so that when it is determined based on the video surveillance data that there is a hazardous chemical vehicle in which the accident occurred, the video surveillance data corresponding to the The accident handling device associated with the video surveillance equipment executes the accident handling action.
  • the association relationship between the video surveillance equipment and the accident handling equipment may be determined based on the geographic location.
  • a video surveillance device can be associated with accident handling devices within a predetermined range of its vicinity, and thus given a known travel path (e.g., the travel path of any vehicle on a highway within a certain distance is deterministic),
  • the accident handling equipment after the location of each video surveillance equipment can be associated with the current video surveillance equipment.
  • a video monitoring equipment located at address A is associated with irrigation equipment and fire extinguishing equipment near address A, or, the known driving route includes irrigation equipment and fire extinguishing equipment near address A in turn, and the driving route starts from address A
  • the irrigation equipment and fire extinguishing equipment of other positions for example, B address, C address
  • B address, C address can also these irrigation equipment and fire extinguishing equipment of these other positions (for example, B address, C address) also be connected with the A video surveillance of A address
  • the equipment is associated; the B video surveillance equipment located at the B address is associated with the irrigation equipment and fire extinguishing equipment near the B address, or the driving path of the hazardous chemical vehicle includes the irrigation equipment and fire extinguishing equipment near the A address, and the driving path
  • the irrigation equipment and fire extinguishing equipment at other locations (for example, address C) on the network may also associate the irrigation equipment and fire extinguishing equipment at other locations (for example, address C) with the B video surveillance equipment at B address.
  • the relationship between different video surveillance devices and accident handling devices can be defined through an object model.
  • the Internet of Things business platform determines the accident handling device associated with A video surveillance device based on the object model, so it can control the A video surveillance device.
  • the accident handling equipment (irrigation water valve and/or dry powder fire extinguishing device, broadcasting system on the smart light pole, smart screen, etc.) performs accident handling actions, such as turning on the irrigation equipment to spray water, spraying dry powder on the fire extinguishing device, turning on the smart light pole PA system on To notify pedestrians to pay attention to avoiding, turn on the smart screen to play prompts (video or text provided by the Internet of Things business platform, etc.).
  • the association relationship between different video surveillance devices and accident handling devices can be defined through the created scenario linkage rules.
  • the scene linkage rule can define the video surveillance data of those video surveillance devices to be identified, and define which accident handling devices should be used to handle the accident if each video surveillance device detects an accident.
  • the association relationship can be stored independently of the created rules, so that after a specific video surveillance device (the video surveillance device that has identified the accident) is determined, the associated accident handling device is determined through the stored association relationship, thereby According to the method of controlling the associated accident handling equipment defined in the created rules, it is controlled to execute corresponding accident handling actions.
  • the location of the video surveillance equipment and the location of the hazardous chemical vehicle involved in the accident can be determined based on the video surveillance data and through the geographic information service GIS as the location of the accident, wherein the accident handling equipment is located at the location where the accident occurred location within the predetermined range.
  • GIS Geographic information service
  • GIS Geographic information service
  • GIS Global-Information service
  • GIS Global-Information service
  • GIS includes the location information of each video surveillance equipment (distinguished by number or logo, etc.), and each accident handling equipment (distinguished by number or logo, etc.).
  • associated appropriate accident handling equipment can be determined based on the specific type. For example, if a fire occurs on a vehicle transporting sodium, all accident handling equipment associated with the video surveillance equipment (e.g., including irrigation valves within a predetermined distance, dry powder fire extinguishing devices) may not be fully activated, e.g. Substances that undergo chemical reactions and release heat (such as water and carbon dioxide, etc.), so the irrigation water valve cannot be activated but the fire can be extinguished with a dry chemical fire extinguishing device. For other types of hazardous chemicals, irrigation water valves may again be suitable fire suppression devices.
  • irrigation water valves may again be suitable fire suppression devices.
  • the IoT service platform can determine the The accident handling equipment that can be used or the accident handling equipment that cannot be used according to the specific type of the product, and the appropriate accident handling equipment is selected from all the accident handling equipment associated with the video surveillance equipment that monitors the accident.
  • the above description for determining the accident handling device is for identifying any hazardous chemical vehicle that has an accident (that is, it only needs to be a hazardous chemical vehicle that has an accident), rather than the application scenario of a specific type of hazardous chemical. In other application scenarios, it is only possible to identify specific types of hazardous chemicals transport vehicles. In this case, it is possible to directly define the videos suitable for this type of hazardous chemicals and monitoring accidents in the scene linkage rules.
  • the monitoring equipment is associated with the incident handling equipment.
  • the accident handling equipment After the accident handling equipment is determined, it can be controlled accordingly. For example, if a fire accident occurs at address B, the irrigation water valve and/or dry powder fire extinguishing device within 10 meters of address B and the broadcasting system and smart screen on the smart light pole within 5 kilometers can be controlled to perform accident handling actions. For example, turn on the irrigation equipment to spray water, spray dry powder on the fire extinguishing device, turn on the broadcast system on the smart light pole to notify pedestrians to avoid, turn on the smart screen to play prompts (video or text provided by the Internet of Things business platform, etc.).
  • controlling the accident handling device to execute the accident handling action may include: sending an execution action command to the accident handling device for controlling the accident handling device to execute the accident handling action.
  • the execution action command is also generated based on the setting value of at least one attribute in the object model of the accident handling equipment in the created scenario linkage rule.
  • a command to start spraying water may be sent to the irrigation water valve, for example, through the MQTT protocol.
  • the attributes associated with the application scenario used for sprinkler fire extinguishing in this scenario are defined in the scenario linkage rule, that is, the attributes of the switch status, the number of attributes of the spray duration, and the attributes of the amount of spray is set so that when a command is sent to the irrigation water valve, the command can set these properties to the defined values as defined by the rules, thus instructing the irrigation water valve to operate at the set value i.e. to turn on irrigation
  • the water valve sprays water according to the set water spray volume, and reaches the predetermined water spray duration.
  • the accident handling equipment can also feed back information such as various states, time of receiving commands, and continuous running time of commands to the Internet of Things business platform (there are corresponding attributes in the thing model).
  • the Internet of Things business platform sends the execution action command, it can also remotely monitor the accident handling equipment to determine whether the accident handling equipment has successfully executed the accident handling action, and can adjust the time for performing the action. For example, it can be determined whether the water spraying action has been successfully executed based on reading the switch attribute in the object model of the irrigation water valve.
  • the execution time attribute of the water spraying action can be set to adjust the execution The duration of the spray action.
  • the Internet of Things business platform can obtain the status information of the accident handling equipment after controlling the accident handling equipment to execute the accident handling action, where the status information can include, for example, the remaining amount of resources, such as the remaining dry powder amount of dry powder fire extinguishing equipment, the remaining amount of some equipment, etc.
  • the Internet of Things business platform can be obtained by reading the values of the corresponding attributes in the object model of these devices (device parameters have a corresponding relationship with the attributes in the object model), because after these devices are connected to the Internet, they will periodically or based on the Internet of Things According to the request of the business platform, the status information is sent to the Internet of Things business platform, and after the data format conversion at the Internet of Things business platform, the value of the corresponding attribute in the thing model can be updated.
  • the Internet of Things service platform determines that the status information does not meet the standard (for example, the amount of remaining resources is insufficient), it can issue a prompt message, for example, reminding to replace the device.
  • the Internet of Things service platform can notify the responsible personnel near the accident location of the accident warning information; or notify the municipal department of the accident warning information; or notify the public of the accident warning information.
  • the Internet of Things business platform can notify the traffic police and fire brigade near the location of the accident with the accident warning information.
  • the business system enables firefighters to view on-site video and alarm information in the business system, and quickly go to the scene to put out the fire; enables the traffic police to rush to the scene quickly, conduct surveys on the scene, and deal with it on the spot, and the scene photos taken by the traffic police and/or
  • the on-site situation described by voice and text can be uploaded to the Internet of Things business platform, so that the municipal on-duty personnel, fire-fighting personnel on duty, and traffic police on-duty personnel can understand the on-site situation through the business system linked to the Internet of Things business platform.
  • the Internet of Things business platform can share the accident alarm information with the municipal management department, and the municipal management department can have the authority to manage all accident handling equipment. Therefore, if the Internet of Things business platform does not actively control certain accidents based on the scene linkage rules, it can be used for accident handling.
  • accident handling equipment for accident handling for example, the accident handling equipment is not defined in the scenario linkage rules or only a part of the accident handling equipment that can be used for accident handling is defined
  • the municipal management department can also remotely control these accident handling equipment Accident handling, the two are complementary relations.
  • the Internet of Things business platform when the Internet of Things business platform actively controls the accident handling equipment to handle the accident, it can also notify the municipal on-duty personnel that it is controlling at least one accident handling equipment to perform accident handling when reporting an alarm, and remind the municipal on-duty personnel to log in to the system Pay attention to the operation of equipment, and deal with equipment that is not actively controlled by the Internet of Things business platform (for example, other accidents on the driving route of hazardous chemical vehicles) After receiving the alarm notification, the municipal personnel on duty can start the remote control system of the Internet of Things business platform, and control these accident handling devices to perform accident handling actions through the Internet of Things business platform. That is to say, the Internet of Things service platform can respond to the remote control instruction and control other accident handling equipment to perform accident handling actions.
  • the Internet of Things business platform can respond to the remote control instructions received from the business system of the municipal on-duty personnel to further turn on the broadcasting of the smart light poles on the road system, turn on the smart screen and other accident handling equipment (which can be set at any location, not limited to the vicinity of the accident location) to provide accident reminders, so that motor vehicle drivers and pedestrians can see the information in time and avoid the road section.
  • the remote control instructions received from the business system of the municipal on-duty personnel to further turn on the broadcasting of the smart light poles on the road system, turn on the smart screen and other accident handling equipment (which can be set at any location, not limited to the vicinity of the accident location) to provide accident reminders, so that motor vehicle drivers and pedestrians can see the information in time and avoid the road section.
  • the remote control command may include start commands for these other accident handling devices, or the remote control command may also include modification configuration information for scene linkage rules , to modify the part of the current scenario linkage rules at the Internet of Things business platform that involves accident handling equipment, to add or delete information about some accident handling equipment, so that the Internet of Things business platform can control and proceed according to the modified scenario linkage rules Incident handling, and save the modified scene linkage rule to the scene linkage rule set as a new scene linkage rule.
  • the remote control system can obtain the accident identification result from the IoT business platform and store it in the IoT business platform.
  • Auxiliary information associated with accident identification results at (for example, a database) is used to provide remote control personnel to obtain rule configuration information for remote control personnel.
  • the accident location of hazardous chemical vehicles, the type of hazardous chemicals, or the identification information of the video surveillance equipment that monitored the accident are known on the IoT business platform, and based on the hazard
  • the type of product can also obtain the corresponding fire extinguishing countermeasures (auxiliary information) from the associated database, so when it is determined that the general trigger conditions are met, these information can be sent to the remote control system, so that the remote control personnel can refer to these information to determine How to modify the scene linkage rules to enable those accident handling devices through the Internet of Things business platform.
  • the Internet of Things business platform can notify the public of accident warning information, for example, push the accident warning information to citizens' mobile terminals (small programs, public accounts, Zhengwutong, etc.), for example, can push on-site traffic restriction information, push Detour route, push on-site disposal progress, etc.
  • the IoT service platform can on the one hand control the accident handling equipment to perform accident handling actions, such as controlling the irrigation water valve to spray water, and on the other hand, perform notification processing, such as notifying the accident
  • the alarm information notifies the personnel of different departments and the public, so that scene linkage can be realized when an accident occurs, that is, scene linkage processing can be performed.
  • the scene linkage processing may be performed based on a pre-configured scene linkage rule, wherein the scene linkage rule defines a general trigger condition for the video monitoring device for starting the scene linkage processing, That is, how to start the scene linkage processing based on the video surveillance data obtained from the video surveillance equipment for hazardous chemical vehicle identification, and define the way the accident handling equipment performs accident handling actions and notification processing, that is, the accident handling equipment How to execute accident handling actions and how to handle notifications.
  • the scene linkage rule defines a general trigger condition for the video monitoring device for starting the scene linkage processing, That is, how to start the scene linkage processing based on the video surveillance data obtained from the video surveillance equipment for hazardous chemical vehicle identification, and define the way the accident handling equipment performs accident handling actions and notification processing, that is, the accident handling equipment How to execute accident handling actions and how to handle notifications.
  • the personnel of various relevant departments can trace the process of the accident. For example, you can view the vehicle's driving track, video playback near the accident location (based on video surveillance data), statistics on the number of accident alarm notifications processed by scene linkage, timeliness of accident response, accident processing time, and provide accident analysis reports.
  • FIG. 4 shows a process diagram of a specific example of the method for emergency response to hazardous chemical vehicles based on the Internet of Things described with reference to FIG. 3 .
  • the Internet of Things service platform in the cloud server can send display information to the human-computer interaction interface (the display information can be obtained based on video surveillance data), so that it can be displayed on the interactive interface (for example, the front-end page ) displays the location of video surveillance equipment (such as cameras) and accident handling equipment (such as irrigation water valves, dry powder fire extinguishing devices, smart poles, etc.) in the predetermined area through GIS maps, etc., and can display the real-time monitoring of video surveillance equipment picture.
  • video surveillance equipment such as cameras
  • accident handling equipment such as irrigation water valves, dry powder fire extinguishing devices, smart poles, etc.
  • the AI cloud service in the cloud server can identify the video surveillance data based on the AI model to identify the license plate number and model of the hazardous chemical vehicle, and identify whether the hazardous chemical vehicle has a fire accident (detect smoke) or fire, etc.) and so on.
  • the AI cloud service will push the identification result-accident warning information (warning picture, warning information) to the Internet of Things business platform.
  • the IoT service platform in the cloud server starts scene linkage processing according to the pre-configured scene linkage rules based on the recognition result, that is, the recognition result and the scene linkage rule
  • the total trigger condition in the match (the total trigger condition will be described in detail later), so the scene linkage processing can be started.
  • the Internet of Things service platform can notify the responsible personnel near the location of the accident, such as traffic police and fire brigade, of the accident warning information, for example, so that the police can be dispatched quickly, or the accident warning information can be notified to the municipal department , such as allowing the personnel of the municipal department to remotely control the IoT business platform to deal with accidents in a timely and adequate manner, as detailed above.
  • the responsible personnel near the location of the accident such as traffic police and fire brigade
  • the accident warning information can be notified to the municipal department , such as allowing the personnel of the municipal department to remotely control the IoT business platform to deal with accidents in a timely and adequate manner, as detailed above.
  • the Internet of Things business platform can notify the public of the accident warning information, for example, push the accident warning information to the citizens' mobile terminals (small programs, public accounts, government affairs, etc.), for example, It can push on-site traffic restriction information, push detour routes, push on-site disposal progress, etc. to citizens.
  • the Internet of Things service platform can send commands to the accident handling equipment (or to its management system if the accident handling equipment cannot be directly controlled) according to the scene linkage rules to execute the accident Processing actions, for example, the command is used to control the opening of irrigation equipment for water spraying, fire extinguishing device spraying dry powder, turning on the broadcast system on the smart light pole to notify pedestrians to pay attention to avoiding, turning on the smart screen to play prompts (obtain video from the Internet of Things business platform or text, etc.) and so on.
  • the process of configuring scenario linkage rules will be described in detail later with reference to FIG. 5 .
  • the municipal department has management authority over all accident handling equipment, which is complementary to the control of the Internet of Things business platform.
  • the Internet of Things business platform only controls the irrigation water valve to spray water
  • the Internet of Things The business platform can respond to the remote control instructions received from the business system of the municipal on-duty personnel to further turn on the broadcast system of the smart light pole on the road, turn on the smart screen and other accident handling equipment (which can be set at any location, not limited to The location of the accident is determined) to carry out the accident prompt, which is convenient for motor vehicle drivers and pedestrians to see the news in time and avoid passing through the road section.
  • the scene linkage processing can be performed according to the scene linkage rules, so the scene linkage can be carried out in a timely manner, the emergency processing speed and efficiency are improved, the impact on the public can be reduced and the public's safety can be guaranteed Personal and property safety.
  • the scene linkage rule defines the general trigger conditions for the video surveillance equipment used to start the scene linkage processing, that is, how to identify hazardous chemical vehicles based on the video surveillance data obtained from the video surveillance equipment
  • the scene linkage processing is started according to the result of the event, and the manner in which the accident handling device executes the accident handling action and the notification processing is defined, that is, how the accident handling device executes the accident handling action and how to perform the notification processing.
  • the total trigger conditions may at least include trigger devices, trigger conditions and trigger modes corresponding to each trigger device.
  • the trigger device is a device whose determination result of whether the data acquired from it satisfies the corresponding trigger condition is used to determine whether to start the scene linkage processing, and the trigger condition includes an attribute in the object model of the corresponding trigger device and/or the conditions qualified by the event parameters.
  • the object model of each trigger device includes multiple attributes and event parameters, so at least a part of the attributes and/or event parameters associated with the event that identifies whether the accident occurs can be selected from these attributes and event parameters, and the corresponding value.
  • the triggering device may be a specified device (for example, select one or more specific devices from a list of multiple devices, for example, one or some specific video surveillance devices arranged at a preset bayonet position), A certain type of equipment is also possible (eg, selecting a specific type of equipment from a list of multiple equipment, eg, video surveillance equipment).
  • the cloud server needs to obtain the video monitoring data of the plurality of video monitoring devices for identification and analysis.
  • the triggering device may be a video surveillance device
  • the object model of the video surveillance device may include attributes of recognition algorithms used for different targets and event parameters corresponding to the recognition results of each recognition algorithm.
  • the scene linkage rule may include The value of the attributes of the license plate recognition algorithm, the hazardous chemical vehicle recognition algorithm, and the accident recognition algorithm (such as the smoke algorithm and the fire recognition algorithm) is defined as an effective value (for example, 1), and the recognition results of these several recognition algorithms can be defined as The value of the event parameter when triggering the scene linkage processing, for example, the event parameter is: ⁇ type1 license plate recognition content1 license plate, image address, etc. ⁇ type2 hazardous chemical vehicle identification content2 hazardous chemical vehicle type, image address, etc. ⁇ type3 accident Identify content3 smoke ⁇ ⁇ type4 accident identification content4 fire, etc. ⁇ , that is, if based on the video surveillance data of the video surveillance equipment, the license plate is recognized (the license plate and the picture address of the license plate are obtained accordingly), hazardous chemical vehicles, accidents (smoke, fire), then
  • the trigger method can include meeting all the trigger conditions of all trigger devices to start the scene linkage processing, or when any trigger condition is met, scene linkage processing is started. For example, when multiple video surveillance devices are selected, it can be determined that the total trigger condition is met only when the trigger conditions corresponding to all video surveillance devices are met, and scene linkage processing can be started, or when any one of the video surveillance devices corresponds to When the trigger conditions are met, it is determined that the overall trigger conditions are met, and scene linkage processing can be started. Considering that the application of this application is emergency response to accidents, when the trigger condition corresponding to any video surveillance device is met, scene linkage processing can be started. Of course, scene linkage processing can also be started only when all conditions are met, for example, to improve recognition accuracy, or when the number of video surveillance devices using its data is small and the distance is relatively short.
  • scene linkage processing includes two types of processing, that is, to notify relevant departments (such as traffic police, fire brigade and municipal departments, etc.)
  • relevant departments such as traffic police, fire brigade and municipal departments, etc.
  • commands issued commands
  • scene linkage rules should also be defined for the specific methods of these two types of processing, so that when the general trigger conditions are met, the processing is performed according to the rules.
  • scene linkage rules can define the object of reporting alarms, that is, to whom to notify the alarms, for example, it can be selected or set by the management personnel, or a third-party business system can be selected, and the specific receiving account can be defined; It is also possible to define the notification means to choose to report, such as sending SMS, system notification, etc.
  • scene linkage rules can define equipment that performs accident handling actions, for example, equipment that can be used to extinguish fires, such as irrigation water valves and dry powder fire extinguishing devices.
  • the accident handling device (one or more) can be selected or set by the manager; in addition, since the accident handling device is also controlled by the IoT platform through its object model, the scene linkage rules can also define the selected accident handling
  • the parameter value of the attribute that needs to be set for the device to execute the corresponding accident handling action of the command for example, the scene linkage rule defines the value of the switch status attribute, the water spray duration attribute, and the water spray volume attribute.
  • the The command can set these properties to the defined values according to the rules, so as to instruct the irrigation water valve to operate with the set value, that is, to open the irrigation water valve to spray water according to the set water spray volume, and reach the predetermined value. Spray time.
  • one or more configured scenario linkage rules may be saved in a set of scenario linkage rules.
  • each scenario linkage rule has a corresponding rule identifier.
  • the current scenario linkage rule to be used may be selected from a set of existing scenario linkage rules.
  • a set of scenario linkage rules can be pre-configured.
  • the scenario linkage rules can be directly Select the scene linkage rule corresponding to the specific type of hazardous chemicals in the set.
  • FIG. 5 shows a schematic diagram of a process when a manager configures (creates) a scenario linkage rule according to the above description of the scenario linkage rule.
  • the manager can first create the basic information of the scene linkage rule, for example, the manager input includes rule name, rule effective period (start time).
  • the manager creates a general trigger condition, that is, when the general trigger condition is met, the Internet of Things service platform will start the scenario linkage processing.
  • the total trigger conditions may at least include trigger devices, trigger conditions corresponding to each trigger device, and trigger modes.
  • the administrator can select a triggering method.
  • the triggering method may include starting scene linkage processing only when all trigger conditions corresponding to all trigger devices are met, or starting scene linkage processing when any trigger condition is met.
  • the application scenario of the present application is emergency response to accidents, so when the trigger condition corresponding to any video monitoring device is satisfied, scene linkage processing can be started.
  • the manager can choose to trigger the device.
  • the trigger device is obtained from The determination result of whether the acquired data satisfies the corresponding trigger condition is used to determine whether to start the device for scene linkage processing.
  • the trigger device may be a specified device (for example, select one or more specific devices from a list of multiple devices under a certain type of product, for example, a specific video surveillance device arranged at a preset position), or A certain category of equipment can be selected (eg, select equipment under a specific category of products from a list of multiple categories of products, eg, all video surveillance equipment).
  • the cloud server needs to obtain the video monitoring data of the plurality of video monitoring devices for identification and analysis.
  • the administrator can configure the trigger condition corresponding to each trigger device, for example, the trigger condition is set by the administrator to configure the value of the corresponding attribute and/or event parameter in the object model of the trigger device .
  • the object model of each trigger device includes a plurality of attributes and event parameters, so the attributes and/or event parameters associated with the event identifying whether the accident occurs can be selected from these attributes and event parameters, and the corresponding values can be set .
  • the triggering device may be a video surveillance device, and the object model of the video surveillance device may include attributes of recognition algorithms used for different targets and event parameters corresponding to the recognition results of each recognition algorithm.
  • the scene linkage rule may include The value of the attributes of the license plate recognition algorithm, the hazardous chemical vehicle recognition algorithm, and the accident recognition algorithm (such as the smoke algorithm and the fire recognition algorithm) is defined as an effective value (for example, 1), and the recognition results of these several recognition algorithms can be defined as The value of the event parameter when triggering the scene linkage processing, for example, the event parameter is: ⁇ type1 license plate recognition content1 license plate, image address, etc. ⁇ type2 hazardous chemical vehicle identification content2 hazardous chemical vehicle type, image address, etc. ⁇ type3 accident Identify content3 smoke ⁇ ⁇ type4 accident identification content4 fire, etc. ⁇ , that is, if based on the video surveillance data of the video surveillance equipment, the license plate is recognized (the license plate and the picture address of the license plate are obtained accordingly), hazardous chemical vehicles, accidents (smoke, fire), then it can be determined that the conditions defined by the event parameters in the physical model of the video surveillance equipment (trigger equipment) (conditions for accidents involving hazardous chemicals vehicles) are met, that is, the trigger conditions corresponding
  • event parameters that can trigger the execution of scene linkage processing can be added or changed, for example, the color of fire light can be defined event parameters, so that in the actual monitoring process of the video surveillance equipment, when the Internet of Things business platform recognizes the fire light of this color, it can be determined that the trigger condition is met.
  • the IoT service platform When the general trigger conditions in process S502 are satisfied, the IoT service platform will start scene linkage processing. Therefore, when creating scene linkage rules, it is also necessary to specify the specific method of scene linkage processing. definition.
  • the manager can define the processing that the Internet of Things business platform needs to perform during the scene linkage processing, including two types of processing, that is, to notify relevant departments (such as traffic police, fire brigade, and municipal departments, etc.) alarm) and sending commands (commands) to control the execution of accident handling actions to the associated accident handling equipment, so that when the general trigger conditions are met, the Internet of Things service platform will report alarms and/or issue commands.
  • relevant departments such as traffic police, fire brigade, and municipal departments, etc.
  • the manager can define the object of the reported alarm in the scene linkage rule, that is, who to notify the alarm to (it can be a third-party business system), and define the specific received
  • the account number can also define the notification means to choose to report, such as sending short messages, system notifications, etc., and can also define the channels for reporting alarms.
  • These defined contents can be input (selected or set) by managers, for example.
  • the manager can define the equipment that performs the accident handling action in the scene linkage rule, for example, the equipment that can be used to extinguish fire, such as irrigation water valve and dry powder fire extinguishing device, etc. .
  • the accident handling equipment (one or more) can be input (selected or set) by the manager; in addition, since the accident handling equipment is also controlled by the IoT platform through its object model, the scene linkage rules can also define the selected The accident handling equipment needs to execute the corresponding accident handling action of the command.
  • the scene linkage rule defines the value of the switch status attribute, the water spray duration attribute, and the water spray volume attribute.
  • this command can set these attributes to the defined values according to the rules defined, so as to instruct the irrigation water valve to operate with the set value, that is, turn on the irrigation water valve to spray water according to the set spray volume, and Reach the scheduled water spray duration.
  • the IoT service platform can obtain the type of hazardous chemicals input by managers, and obtain information from the associated database based on the type Corresponding fire extinguishing countermeasures to provide management personnel with reference information for configuring accident handling equipment, which is used for management personnel to configure appropriate accident handling equipment in scene linkage rules.
  • Fig. 6 shows a simple schematic diagram of a configuration interface of scene linkage rules, which can be displayed on the aforementioned human-computer interaction interface, such as the front-end page shown in Fig. 2A, and obtain input information from managers.
  • configuration boxes 1-3 are provided to obtain basic information of scene linkage rules, such as rule name, rule effective period (start time), and and other notes and description information, etc.
  • the configuration box 4-5 is provided for obtaining the configuration information of the general trigger condition, for example, the configuration box 4 is provided for obtaining the configuration information of the trigger mode, and the configuration box 5 is provided for obtaining the new trigger device and its corresponding
  • the configuration information of the trigger condition, the configuration box at the next level is used to obtain the configuration information of the trigger device and the specific content of the trigger condition, which is not shown here.
  • the specific triggering methods, triggering devices and corresponding triggering conditions have been described in detail above, so they will not be repeated here.
  • the configuration box 6-9 is provided for acquiring configuration information of the manner of scene linkage processing.
  • the configuration box 6 is provided for obtaining the configuration information of the processing mode of issuing commands and reporting alarms selected by the administrator
  • the configuration box 7 is provided for obtaining and adding the corresponding equipment or objects for the selected processing mode configuration information, such as the configuration information of the accident handling device that issued the command
  • the configuration boxes 8-9 are provided to obtain the configuration information of the service control command for the accident handling device to perform the accident handling action and the value of the corresponding attribute.
  • the configuration box may also include a configuration box (not shown) provided for obtaining specific information of configuring a reporting object when reporting an alarm processing mode, for inputting or selecting a reporting channel, and so on.
  • FIG. 6 only shows the configuration interface of the scenario linkage rule process by way of example, and those skilled in the art should understand that the layout of the configuration interface can be modified according to actual conditions.
  • the linkage processing method is used to report the alarm (corresponding to notification processing) and issue commands (corresponding to controlling the accident handling equipment to execute the accident handling action), so that the accident handling equipment near the accident location can quickly handle the accident, and after reporting, it can also Through remote control to control other accident handling equipment (for example, accident handling equipment at other locations on the driving route of hazardous chemical vehicles) to handle accidents, it can improve the efficiency of cross-department linkage information sharing and accident emergency handling, Reduce the loss of personnel and property.
  • the Internet of Things service platform can also present the recognition result on a human-computer interaction interface (eg, a front-end page) by using a geographic information service GIS based on the recognition result as mentioned above.
  • a human-computer interaction interface eg, a front-end page
  • GIS geographic information service
  • Fig. 7 shows a schematic diagram of a display interface for hazardous chemical vehicle monitoring.
  • FIG. 7 the number of hazardous chemical vehicles and the number of reported alarms of accidents (for example, fire accidents) are shown on the upper left side.
  • the alarm event list shown on the lower left is the data display reported by the video surveillance equipment after identifying the accident, including the license plate number, alarm event category, accident occurrence, etc. Location.
  • the middle of the figure is a GIS map, where the location of each video surveillance equipment and each accident handling equipment will be marked.
  • the upper right side shows the simple information of the vehicle model and license plate of the hazardous chemical vehicle involved in the accident, and the lower right side shows the historical track of the hazardous chemical vehicle.
  • an IoT-based system for accident emergency handling of hazardous chemical vehicles is also disclosed, the system is similar to the system described with reference to Figures 2A-2C, and includes: a first cloud server , for obtaining video surveillance data from video surveillance equipment at a preset location; a second cloud server, for determining whether there is a hazardous chemical vehicle in an accident based on the video surveillance data; and an Internet of Things business platform for In the case of a dangerous chemical vehicle in which the accident occurs, scene linkage processing is started, wherein the scene linkage processing includes controlling the accident handling equipment to perform accident handling actions and notification processing, wherein the scene linkage processing is based on pre-configured Scenario linkage rules, which define the general trigger conditions for the video surveillance equipment used to start the scenario linkage processing, and define the way the accident handling equipment performs accident handling actions and notification processing.
  • the first cloud server can be implemented by the video cloud service in Figure 2C
  • the second cloud server can be implemented by the AI cloud service in Figure 2C
  • the Internet of Things service platform can be implemented by the Internet of Things service in Figure 2C platform to achieve.
  • the system may also include an interactive device for displaying the positions of video surveillance equipment and accident handling equipment in a preset area based on a GIS map, for displaying video surveillance data, for displaying identified dangerous Chemical vehicles (for example, license plate number, model, driving track, etc.), or used to display relevant information of scene linkage processing (for example, alarm times, alarm time, etc.), and optionally, the interaction device is also used to obtain input information to configure the scenario linkage rule.
  • the interaction means may be implemented by a terminal (eg, personal computer, client, tablet computer, mobile device, digital personal assistant, etc.).
  • an Internet of Things-based device for emergency handling of hazardous chemical vehicles is also disclosed.
  • FIG. 8 shows a structural block diagram of an IoT-based device 800 for accident emergency handling of hazardous chemicals vehicles according to an embodiment of the present application.
  • the device 800 includes an acquisition module 810 , an accident vehicle determination module 820 , and a scenario linkage processing module 830 .
  • the acquiring module 810 is used for acquiring video monitoring data from video monitoring equipment at a preset location.
  • the accident vehicle determination module 820 is configured to determine whether there is a hazardous chemical vehicle in an accident based on the video surveillance data.
  • the scene linkage processing module 830 is used to start the scene linkage processing when there is a hazardous chemical vehicle in the accident, wherein the scene linkage processing includes controlling the accident handling equipment to perform accident handling actions and notification processing, wherein the The scene linkage processing is based on a preconfigured scene linkage rule, and the scene linkage rule defines a general trigger condition for the video monitoring device for starting the scene linkage processing, and defines the accident handling device performing an accident handling action and How the notification is handled.
  • each module of the device may be realized by multiple separate servers in the cloud, or each module may be realized by one server in the cloud, which is not limited in the present application.
  • the device can be divided into more or fewer modules.
  • it can further include a rule configuration module and a remote control module, which are used to obtain rule configuration information and create Scenario linkage rules, and the remote control module is used to respond to the remote control instruction and control other accident handling equipment that can be used for accident handling except the accident handling equipment to execute the accident handling action.
  • each module can be further divided into more sub-modules, which is not limited in this application.
  • an Internet of Things-based device for accident emergency handling of hazardous chemical vehicles is also disclosed.
  • Fig. 9 shows a schematic block diagram of an apparatus 900 according to the fourth aspect of the present application.
  • apparatus 900 may include one or more processors, one or more memories connected through a system bus, and optionally include a network interface, an input device, and a display screen.
  • each memory includes a non-volatile storage medium and an internal memory.
  • the non-volatile storage medium of the device stores an operating system, and also stores a computer program.
  • the processor can realize the vehicle for hazardous chemicals based on the Internet of Things as described above.
  • a computer program may also be stored in the internal memory, and when the computer program is executed by the processor, the processor may perform the same various operations described in each step of the Internet of Things-based accident emergency treatment for hazardous chemical vehicles .
  • Each processor may be an integrated circuit chip with signal processing capability.
  • a processor may be a general purpose processor, digital signal processor (DSP), application specific integrated circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA off-the-shelf programmable gate array
  • the various methods, steps and logic block diagrams disclosed in the embodiments of the present application can be realized or executed.
  • the general-purpose processor may be a microprocessor, or the processor may be any conventional processor, etc., and may be of an X84 architecture or an ARM architecture.
  • the nonvolatile memory can be read only memory (ROM), programmable read only memory (PROM), erasable programmable read only memory (EPROM), electrically erasable programmable read only memory (EEPROM), or flash memory. It should be noted that the memory of the methods described herein is intended to include, but not be limited to, these and any other suitable classes of memory.
  • the display screen of the apparatus 900 may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computing device may be a touch layer covered on the display screen, or a button, a trackball or a touch pad provided on a terminal shell, or It is an external keyboard, touchpad or mouse, etc.
  • Apparatus 900 may be a server.
  • the server can be a cloud server described with reference to Figures 2A-2C, that is, it can be an independent server, or a server cluster or distributed system composed of multiple servers, which can provide cloud services, cloud databases, cloud computing, cloud functions, cloud Basic cloud computing services such as storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms.
  • a computer-readable storage medium which stores a computer program.
  • the processor executes the Internet of Things-based dangerous chemical Each step of the method for vehicle accident emergency handling.
  • a computer program product including a computer program.
  • the computer program is executed by a processor, various aspects of emergency handling for hazardous chemical vehicles based on the Internet of Things as described above are implemented. step.
  • aspects of the present application may be illustrated and described in several patentable classes or circumstances, including any new and useful process, machine, product, or combination of substances, or any combination thereof. New and useful improvements.
  • various aspects of the present application may be entirely executed by hardware, may be entirely executed by software (including firmware, resident software, microcode, etc.), or may be executed by a combination of hardware and software.
  • the above hardware or software may be referred to as “block”, “module”, “engine”, “unit”, “component” or “system”.
  • aspects of the present application may be embodied as a computer product comprising computer readable program code on one or more computer readable media.

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Abstract

提供了一种基于物联网的用于危化品车辆的事故应急处理的方法、装置、和系统。方法可以包括：从预设位置处的视频监控设备获取视频监控数据；基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。

Description

用于危化品车辆的事故应急处理方法、装置、和系统 技术领域
本申请涉及物联网技术领域，更具体地，涉及一种基于物联网的用于危化品车辆的事故应急处理的方法、装置、和系统。
背景技术
危化品即危险化学品，是指具有易燃、易爆、有毒、有害和放射性等特性，在运输装卸和储存保管过程中易造成人员伤亡和财产损毁而需要特别保护的化学物品。
目前涉及到运输危化品的车辆(本文统称为危化品车辆)的事故应急处理方案通常是在危化品发生扩散之后进行处理，因此是不及时的，并且处理速度较慢，可能会给人民群众造成了巨大的经济精神损失。另外，对危化品车辆某些事故(失火)的处置，需要交警、消防、警察、市政等多部门的跨部门联动协助，而当前方案，在跨部门信息共享、事故报警、应急联动方面均没有涉及到。
因此，需要一种能够通过提升事故应急处理的响应速度且实现跨部门信息共享、事故报警、应急联动的方案。
发明内容
根据本申请的第一方面，提供了一种基于物联网的用于危化品车辆的事故应急处理的方法，包括：从预设位置处的视频监控设备获取视频监控数据；基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
根据本申请的第二方面，提供了一种基于物联网的用于危化品车辆的事故应急处理的系统，包括：第一云服务器，用于从预设位置处的视频监控设备获取视频监控数据；第二云服务器，用于基于所述视频监控数据确定是否 存在发生事故的危化品车辆；以及物联网业务平台，用于在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
根据本申请的第三方面，提供了一种基于物联网的用于危化品车辆的事故应急处理的装置，包括：获取模块，用于从预设位置处的视频监控设备获取视频监控数据；事故车辆确定模块，用于基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及场景联动处理模块，用于在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
根据本申请的第四方面，提供了一种基于物联网的用于危化品车辆的事故应急处理的装置，包括：一个或多个处理器；一个或多个存储器，其上存储有计算机程序，所述计算机程序在由所述一个或多个处理器执行时，实现如前面所述的方法。
根据本申请的第五方面，还提供了一种计算机可读存储介质，存储有计算机程序，计算机程序被处理器执行时，使得处理器执行如前面所述的基于物联网的用于危化品车辆的事故应急处理的方法的各步骤。
根据本申请的第六方面，还提供了一种计算机程序产品，包括计算机程序，计算机程序被处理器执行时实现如前面所述的基于物联网的用于危化品车辆的事故应急处理的各步骤。
本申请的实施例通过物联网、大数据分析、人工智能等技术手段，通过场景联动处理，可以对危化品车辆事故进行高效的应急处置，尽可能减少人员和财产的损失，通过场景联动中的通知处理可以实现跨部门的信息同步、信息共享，并通过物联网技术远程控制事故处理设备，进行充分应急处置。
附图说明
为了解释本公开的原理，将结合附图结合来描述本公开的实施例。应理解，图中所示的要素可能被实现为各种形式的硬件、软件或它们的组合。可选地，在一个或多个适当地编程的通用计算机设备上的硬件和软件的组合中实现这些要素。
图1示出了物模型的简单示意图。
图2A-2C示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的系统的示意图。
图3示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的方法的流程示意图。
图4示出了参考图3所描述的方法的一个具体示例过程图。
图5示出了管理人员在配置(创建)场景联动规则时的过程示意图。
图6示出了场景联动规则的配置界面的简易示意图。
图7示出了危化品车辆监控的显示界面的示意图。
图8示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的装置的结构框图。
图9示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的装置的结构框图。
具体实施方式
以下将参照附图更充分地描述本公开实施例，在附图中示出了本公开实施例。然而，可以用很多不同形式来实施本公开，并且本公开不应理解为受限于在此所阐述的实施例。在全文中，使用相似的标号表示相似的元件。
在此所使用的术语仅用于描述特定实施例的目的，而并非意欲限制本公开。如在此所使用的那样，单数形式的“一个”、“这个”意欲同样包括复数形式，除非上下文清楚地另有所指。还应当理解，当在此使用时，术语“包括”指定出现所声明的特征、整体、步骤、操作、元件和/或组件，但并不排除出现或添加一个或多个其它特征、整体、步骤、操作、元件、组件和/或其群组。
除非另外定义，否则在此所使用的术语(包括技术术语和科学术语)具有与本公开所属领域的普通技术人员所共同理解的相同意义。在此所使用的术语应解释为具有与其在该说明书的上下文以及有关领域中的意义一致的意 义，而不能以理想化的或过于正式的意义来解释，除非在此特意如此定义。
在对本申请的具体细节进行描述之前，将对本申请将用到的术语的含义进行简单说明。
云端(物联网)：一般包括一个或多个具有处理功能的装置(例如，服务器)，进行物联网中的主要的计算功能(例如，人工智能计算、大数据分析等等)，并且与设备端和应用端连接，可以从设备端获取数据/信息并进行处理，然后向应用端发送处理后的数据/信息，反之亦然。
物模型：物模型指将物理空间中的实体数字化，并在云端(包括的物联网业务平台)处构建该实体的数据模型。在云端，定义物模型即定义产品设备的功能。完成功能定义后，系统将自动生成该产品的物模型。物模型描述产品是什么、能做什么、可以对外提供哪些服务。如图1所示，物模型将产品设备的功能类型分为三类：属性、服务(也称为动作)和事件。属性一般用于描述设备运行时的状态，如环境监测设备所监测的当前环境温度等。其中，属性支持GET和SET请求方式，可以对属性进行读取和设置。服务是指设备可被外部调用的能力或方法，可设置输入参数和输出参数，相比于属性，服务可通过下发一条命令实现更复杂的业务逻辑，如使产品设备执行某项特定的任务或动作，并且可以获取执行任务或动作的响应。事件是指产品设备运行时的事件，事件一般包含需要被外部感知和处理的通知信息，可包含多个输出参数。产品设备可以向云端物联网业务平台上报属性和事件的相关信息，经过数据格式转换和字段映射关系后作为物模型中对应的属性的实际值或者事件参数的事件类型。服务器通过设置物模型中的属性的值(例如，从预定义的取值范围内进行选择)而可以控制产品设备的状态，或者向产品设备发送服务控制命令，使得所述产品设备执行相应的动作。
场景联动：在同一个应用场景下，当某种特定事件发生时，多个设备按顺序或同时执行动作，并形成多设备共同运行而达到某一个预设目的的情况。例如：当识别某条公路上一个视频监控画面中出现起火事故时，公路上将会出现以下情况：①路侧的鸣笛广播响起警示声音，②路侧消防灭火智能终端被云端服务器激活，可启动对应的开关进行灭火处置，③将报警信息通知给该道路执勤交警人员手持终端，同时将警情通知附近消防队，等等。
危化品车辆识别：通过云端的视觉图像识别技术，识别运输危化品的车辆上的特定的危化品标识，同时识别车牌号、车型等车辆信息。
图2A-2C示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的系统的示意图。
如图2A所示，道路侧的一个或多个视频监控设备(例如，摄像头)210监控实时画面，并得到视频监控数据；云端服务器220从视频监控设备(第一终端设备)获取视频监控数据，例如基于RTSP协议对特定的视频监控设备进行拉流，并对所获取的视频监控数据进行分析，例如利用计算机视觉处理算法中的基于人工智能(AI)的识别算法确定是否有发生事故的危化品车辆(具体地细节将在后文描述)；在确定存在发生事故的危化品车辆时，云端服务器220向事故处理设备230(第二终端设备)下发服务控制命令，使得事故处理设备230执行事故处理动作(例如，针对起火，则控制事故发生位置附近的灌溉水阀和/或干粉灭火装置开启、智慧灯杆上的广播系统开启、智慧屏上播放提示信息等等)，此外，也可以将事故信息通知相关部门(例如，市政、消防、交警等)以及公众(例如，提供事故信息到公众个人的移动端)等等，实现了场景联动。
这样，在某个危化品车辆发生了事故(例如，起火)时，在云端服务器经过一系列处理后，可以及时进行场景联动，提高了应急处理速度和效率，能够降低对公众的影响且保证公众的人身和财产安全。
此外，如图2A所示的，云端服务器220可以通过交互界面实现人机交互，用于例如在客户端处的前端页面显示视频监控画面、显示基于地理信息服务GIS的设备位置、显示事故相关信息、显示对视频监控画面的识别结果等等，也可以从交互界面获取用户输入信息，例如获取信息以用于将在后文描述的场景联动规则创建。
针对云端服务器220，其可以包括一个或多个服务器，如图2B所示，云端服务器220按照逻辑功能划分可以包括AI云服务220-1(后文也称为AI服务器)和物联网业务平台220-2。AI云服务220-1和物联网业务平台220-2都可以由具有处理功能的一个或多个处理装置(硬件、软件或者其组合)来实现，例如，一个或多个服务器。AI云服务220-1对从视频监控设备获取的视频监控数据进行基于AI算法(例如，利用AI识别模型)的分析，得到识别结果，然后将识别结果传递到物联网业务平台220-2，物联网业务平台220-2基于该识别结果确定存在发生事故的危化品车辆，从而启动场景联动，例如向事故处理设备下发服务控制命令，以控制其执行事故处理动作，并且向相 关部门和公众进行通知。
物联网业务平台220-2上保存有视频监控设备和事故处理设备的物模型，从而基于该物模型通过设备管理协议(例如http协议)实现对各种设备的管理和控制，如前文参考图1所描述的，此外还可以基于该物模型来创建本申请实施例中的场景联动规则，如将在后文描述的。
进一步的，如图2C所示，云端服务器220还可以包括视频云服务220-3，同理，视频云服务也可以由具有处理功能的一个或多个处理装置(硬件、软件或者其组合)来实现，例如，一个或多个服务器。视频云服务可以包括视频云服务器和流媒体服务器。
流媒体服务器从视频监控设备主动或被动地获取视频监控数据。
物联网业务平台220-2可以从视频云服务获取特定视频监控设备的视频监控数据，以供显示或者其他目的，例如，通过向视频云服务发送例如通道和地址列表的指示信息而指向特定的视频监控设备的视频监控数据，如步骤①所示。
物联网业务平台220-2也可以从AI云服务220-1获取特定视频监控设备的视频监控数据的识别结果，以供确定是否启动场景联动处理或者其他目的，例如，通过向AI云服务发送例如通道和地址列表的指示信息而指示AI云服务仅对特定的视频监控设备的数据进行识别，如步骤②所示。
流媒体服务器可以基于AI云服务220-1的请求而向AI云服务发送视频监控数据，或者主动向AI云服务发送视频监控数据，如步骤③所示。
此外，在识别出存在发生事故的危化品车辆时，AI云服务220-1还会提取出告警图片(视频帧)，并且按照预设方式生成告警信息(例如，包括车牌信息、车型等)，但是由于AI云服务一般不保存识别结果以及相关图片或视频等以实现高效运行，因此可以将识别到事故的告警图片保存到物联网业务平台220-2相关联的具有存储能力的一个或多个装置(例如，数据库)中，并将告警信息向其发布，如步骤④所示，因此物联网业务平台220-2可以从该装置获取告警图片以及告警信息(例如，可以通过预先向该数据库服务器进行告警信息订阅而获取，如步骤⑤所示)，以便进行相应的场景联动处理。此外，物联网业务平台还可以与外部终端(例如客户端)进行人机交互，以显示告警信息和获取输入信息，如步骤⑥所示。图2C中，物联网业务平台220-2、相关联的具有存储能力的装置以及实现人机交互的终端被示为物联网平台 侧。
以上参考图1-2C介绍了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的系统，下面参考图3-6介绍基于该系统的用于危化品车辆的事故应急处理的方案的更多细节。
本申请的实施例通过物联网、大数据分析、人工智能等技术手段，对危化品车辆事故进行高效的应急处置，主要体现在：第一，利用人工智能算法自动识别危化品车辆发生事故，并能通过例如地理信息服务GIS、和/或大数据分析发现事故发生位置附近最近的事故处理设备，通过物联网技术启动城市市政部门管控的事故处理设备优先进行事故处理，尽可能减少人员和财产的损失；第二，将报警信息通知到相关部门(如消防队、交警队、市政局等)，实现信息同步、信息共享；第三，相关部门接到通知后，可以通过地理信息服务GIS和/或大数据分析调度事故周边可调度的资源，通过物联网技术远程控制事故处理设备，进行充分应急处置；第四，事后，通过大数据分析，追溯事件发生的经过，快速定位和分析事故发生的原因。
图3示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的方法的流程示意图。该方法可以由参考图2A-2C中描述的云端服务器来执行，云端服务器可以包括一个或多个不同的服务器。
如图3所示，在步骤S310中，从预设位置的视频监控设备获取视频监控数据。
例如，从设置在预设位置处的至少一个视频监控设备拉取视频监控数据，例如对某些特定的区域(例如，人口较集中区域、车流量较大的区域)内的车道的预设位置或者卡口位置进行重点监控，从在这些位置布置的视频监控设备获取对应的视频监控数据。
例如，云端服务器中的视频云服务获取了全部视频监控数据，物联网业务平台可以通过拉流协议(例如，rtsp)从视频云服务中拉取与特定视频监控设备相关的视频监控数据。
在步骤S320中，基于所述视频监控数据确定是否存在发生事故的危化品车辆。
例如，基于所述视频监控数据利用AI模型识别是否存在危化品车辆，并且在存在危化品车辆的情况下，基于所述视频监控数据利用AI模型识别所述危化品车辆是否发生事故。
例如，AI模型可以是训练得到的基于计算机视觉处理的对象识别模型。
例如，一般运输危化品的车辆的外表均绘制有显著的危化品标识，甚至有些可能还会绘制有危化品类型的标准符号或危化品名称的标识，因此例如图2C中的AI云服务可以对获取的视频监控数据的各个视频帧利用AI模型进行危化品标识识别，在识别出存在危化品标识后，将例如时间、地点、抓拍的图像(视频帧)等识别信息发送给物联网业务平台，并且对该具有危化品标识的危化品车辆进行标记并对车边进行检测，将车牌信息也同时发送给物联网业务平台；另外，还可以利用AI模型针对包括识别出的危化品车辆的抓拍图像(视频帧)进行事故发生的显著特征(例如，发生起火事故时识别烟雾与明火)的识别，然后将识别的结果一同发送给物联网业务平台。
此外，在针对危化品车辆是否发生事故进行识别时，还可以确定危化品的类型。例如，如果利用AI模型通过图像识别出危化品名称，则将该危化品名称同上述识别结果一同发送给物联网业务平台，然后物联网业务平台将基于识别出的危化品名称而确定危化品的类型，例如，通过查询相关联的数据库；又例如，发生事故之后，还可以基于事故发生时表现的特性对危化品的类型进行进一步的识别，因为对于不同类型的危化品，起火时火光的颜色可能会不同，因此，可以基于火光的颜色进一步识别出危化品材料的类型，同上述识别结果一同发送给物联网业务平台。可选地，在进行火光颜色识别时，可以对采集的图像中的火光部分进行截取、缩放等，并利用图像处理技术(例如内插等方式)提高截取和缩放后的图像的分辨率，然后再进行火光颜色的识别。在识别出危化品的类型之后，可以用于在后续步骤中更准确地采用适合的事故处理设备(灭火设备)。
可选地，AI模型可以是通过预设训练样本集进行训练得到的，且可以包括多个子模型，例如，第一子模型是用于识别是否发生特定事故(起火)的模型，则训练样本集可以包括存在事故的正样本和不存在事故的负样本；第二子模型是用于识别危化品类型的模型，则训练样本集可以包括多个类别的训练样本，每个类别对应一种危化品类型，每个样本为包括火光的图像，并且被标注有一种危化品类型。当然，这仅仅是一种示例，本公开对AI模型的类型和训练方式不做限制，AI模型可以根据实际需要而不同地设计和训练。
在步骤S330中，在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动 作以及通知处理。
其中，所述场景联动处理基于预先创建的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
在危化品车辆发生事故时，需要在其附近的事故处理设备及时地进行处理，以实现高效的应急处置，因此，如何确定要进行事故处理的事故处理设备是需要考虑的问题。
可选地，每个视频监控设备与至少一个事故处理设备相关联，使得在基于所述视频监控数据确定存在发生所述事故的危化品车辆的情况下，可以控制所述视频监控数据对应的视频监控设备相关联的事故处理设备执行事故处理动作。
例如，可以基于地理位置来确定视频监控设备和事故处理设备的关联关系。例如，可以将视频监控设备与其附近预定范围内的事故处理设备进行关联，并且因此在已知行驶路径(例如，高速道路上任何车辆在某段距离内的行驶路径是确定的)的情况下，可以将每个视频监控设备所在位置之后的事故处理设备与当前视频监控设备进行关联。例如，位于A地址的A视频监控设备与A地址附近的灌溉设备和灭火设备相关联，或者，在已知行驶路径依次包括A地址附近的灌溉设备和灭火设备，以及行驶路径上从A地址开始即将经过的其他位置(例如，B地址、C地址)的灌溉设备和灭火设备，可以还将这些其他位置(例如，B地址、C地址)的灌溉设备和灭火设备也与A地址的A视频监控设备相关联；位于B地址的B视频监控设备与B地址附近的灌溉设备和灭火设备相关联，或者，在危化品车辆的行驶路径依次包括A地址附近的灌溉设备和灭火设备，以及行驶路径上的其他位置(例如，C地址)的灌溉设备和灭火设备，可以还将这些其他位置(例如，C地址)的灌溉设备和灭火设备也与B地址的B视频监控设备相关联。
可选地，可以通过物模型来定义不同的视频监控设备和事故处理设备的关联关系。当从A视频监控设备监控到存在发生例如起火事故的危化品车辆时，物联网业务平台基于物模型，而确定A视频监控设备相关联的事故处理设备，因此可以控制A视频监控设备相关联的事故处理设备(灌溉水阀和/或干粉灭火装置、智慧灯杆上的广播系统、智慧屏等等)执行事故处理动作，例如开启灌溉设备进行喷水，灭火装置喷干粉、开启智慧灯杆上的广播系统 以通知行人注意避让，开启智慧屏以播放提示(从物联网业务平台提供的视频或者文字等等)。
可选地，可以通过所创建的场景联动规则来定义不同的视频监控设备和事故处理设备的关联关系。场景联动规则可以定义要针对那些视频监控设备的视频监控数据进行识别，并且定义每个视频监控设备如果监测到事故，要使用哪些事故处理设备来进行事故处理。
可选地，可以将关联关系独立于所创建的规则存储，这样在确定了特定的视频监控设备(识别到事故的视频监控设备)之后，通过存储的关联关系而确定关联的事故处理设备，从而根据所创建的规则里定义的控制关联的事故处理设备的方式来控制其执行相应的事故处理动作。
可以基于所述视频监控数据并通过地理信息服务GIS确定发生视频监控设备的位置以及所述事故的危化品车辆的位置，作为事故发生位置，其中，所述事故处理设备位于所确定的事故发生位置预定范围内。
地理信息服务(Geo－Information service，GIS)是在计算机硬、软件系统支持下，对整个或部分地球表层(包括大气层)空间中的有关地理分布数据进行采集、储存、管理、运算、分析、显示和描述的技术，它可以把地图这种独特的视觉化效果和地理分析功能与一般的数据库操作(例如查询和统计分析等)集成在一起。例如，在本申请中，GIS包括了各个视频监控设备(通过编号或者标识等来进行区分)、各个事故处理设备(通过编号或者标识等来进行区分)所在的位置信息，由于基于视频监控数据可以确定存在发生事故的危化品车辆，这样可以得到对应的视频监控设备的编号或者标识，并基于视频监控设备的编号或者标识相应地通过地理信息服务GIS可以确定视频监控设备的位置、危化品车辆的大致位置以及附近的事故处理设备。
另外，如前面提及的，在识别出发生危化品的具体类型时，可以基于该具体类型确定相关联的合适的事故处理设备。例如，如果是运输钠的车辆起火，则可能不能将与该视频监控设备相关联的所有事故处理设备(例如，包括预定距离内的灌溉阀、干粉灭火装置)全部启动，例如，不能使用与钠发生化学反应放热的物质(例如水和二氧化碳等)，因此不能启动灌溉水阀但可以用干粉灭火装置来进行灭火。对于其他类型的危化品，灌溉水阀可能又是合适的灭火装置。
这时，物联网业务平台可以基于查询相关联的数据库，而确定针对危化 品的具体类型可以使用的事故处理设备或者不能使用的事故处理设备，而从监控到事故的视频监控设备相关联的所有事故处理设备中选择合适的事故处理设备。
上述针对确定事故处理设备的描述是针对识别目标为发生事故的任何危化品车辆(即只需要是发生事故的危化品车辆即可)，而不是特定类型的危化品的应用场景。在另一些应用场景中，可以仅针对特定类型的危化品的运输车辆进行识别，那么这种情况下是可以直接在场景联动规则中定义适合该类型的危化品的与监控到事故的视频监控设备相关联的事故处理设备的。
在确定了事故处理设备之后，可以相应地对其进行控制。例如，起火事故发生位置在B地址，则可以控制B地址附近10米内的灌溉水阀和/或干粉灭火装置和5公里内的智慧灯杆上的广播系统、智慧屏等等执行事故处理动作，例如开启灌溉设备进行喷水，灭火装置喷干粉、开启智慧灯杆上的广播系统以通知行人注意避让，开启智慧屏以播放提示(从物联网业务平台提供的视频或者文字等等)。
可选地，控制事故处理设备执行事故处理动作，可以包括：向事故处理设备发送执行动作命令，用于控制事故处理设备执行事故处理动作。该执行动作命令也是基于所创建的场景联动规则中针对事故处理设备的物模型中的至少一个属性的设置值来生成的。
例如，在识别出存在发生起火的危化品车辆时，可以例如通过MQTT协议向灌溉水阀发送开启喷水的命令。灌溉水阀存在多个属性，在场景联动规则中定义与用于在此种场景中进行喷水灭火的应用场景相关联的属性，即对开关状态属性、喷水时长属性数、喷水量属性进行了设置，因此在向灌溉水阀发送命令时，该命令可以根据规则所定义的而将这些属性设置为所定义的值，从而可以指示灌溉水阀以所设置的值进行操作，即开启灌溉水阀按照设置的喷水量进行喷水，并达到预定喷水时长。
此外，事故处理设备也可以将各种状态、接收到命令时间、命令持续运行时间等信息反馈给物联网业务平台(物模型中有对应的属性)。物联网业务平台在发送执行动作命令后，还可以对事故处理设备进行远程监控，以确定事故处理设备是否成功执行了事故处理动作，并可以调整执行该动作的时长。例如，可以基于灌溉水阀的物模型中的开关属性进行读取而确定是否成功执行了喷水动作，同时也可以对喷水动作的执行时长属性进行设置，以调整执 行该喷水动作的时长。
例如，物联网业务平台在控制事故处理设备执行事故处理动作结束之后，可以获取事故处理设备的状态信息，其中状态信息例如可以包括资源剩余量，例如干粉灭火装置剩余干粉量、某些设备的剩余电量等等，物联网业务平台可以通过读取这些设备的物模型中对应属性(设备参数与物模型中的属性具有对应关系)的值来获得，因为这些设备联网后，会定期或者基于物联网业务平台的请求而向物联网业务平台发送状态信息，经过物联网业务平台处的数据格式转换后，可以更新物模型中对应的属性的值。物联网业务平台在确定状态信息不符合标准(例如，剩余资源量不足)时，可以发出提示信息，例如，提醒更换设备等。这样，可以保证在下一次发生事故时，这些事故处理设备仍然可以有效、安全地进行事故处理。可选地，针对通知处理，物联网业务平台可以将事故告警信息通知事故发生位置附近的责任人员；或者将事故告警信息通知市政部门；或者将事故告警信息通知公众。
例如，物联网业务平台可以将事故告警信息通知事故发生位置附近的交警和消防队，当物联网业务平台与交警和消防队的业务系统链接时，可以将事故告警信息发送到交警和消防队的业务系统，使得消防人员可以在业务系统中查看现场视频及报警信息，并快速到现场灭火；使得交警可以快速赶到现场，对现场进行勘察，临场处置，并且交警所拍摄的现场照片和/或通过语音、文字的方式描述的现场情况可以上传到物联网业务平台，使得市政值班人员、消防值班人员、交警值班人员等均可通过与物联网业务平台链接的业务系统了解现场情况。
例如，物联网业务平台可以将事故告警信息共享给市政管理部门，市政管理部门可以具有管理所有事故处理设备的权限，因此如果物联网业务平台基于场景联动规则没有主动控制某些可以用于事故处理的事故处理设备进行事故处理(例如，场景联动规则中没有对事故处理设备进行定义或者仅定义了一部分可以用于进行事故处理的事故处理设备)，市政管理部门也可以远程控制这些事故处理设备进行事故处理，两者是互补的关系。此外，在物联网业务平台在主动控制事故处理设备进行事故处理的情况下，也可以在上报告警时通知市政值班人员其正在控制至少一个事故处理设备执行事故处理，并提醒市政值班人员登录系统关注设备运行情况，并且对未被物联网业务平台主动控制进行事故处理的设备(例如，危化品车辆的行驶路线上的其他事故 处理设备)，市政值班人员接到报警通知后，可以启动物联网业务平台的远程控制系统，通过物联网业务平台控制这些事故处理设备执行事故处理动作。也就是说，物联网业务平台可以响应于远程控制指令，而控制其他的事故处理设备进行事故处理动作。
例如，如果物联网业务平台仅控制了灌溉水阀进行喷水动作，则物联网业务平台可以响应于从市政值班人员的业务系统接收的远程控制指令，来进一步开启道路上的智慧灯杆的广播系统、开启智慧屏等等事故处理设备(可以设置在任何位置，而不限于事故发生位置附近)以进行事故提示，便于机动车驾驶人员和行人及时看到消息，避让该路段通行，例如，可以通过物联网业务平台的跑马灯功能来将事故提示信息在智慧屏上进行显示；再例如，如果物联网业务平台仅根据场景联动规则控制了事故发生位置附近的事故处理设备执行事故处理动作，由于危化品车辆仍可能继续行驶，则物联网业务平台可以响应于从市政值班人员的业务系统接收的远程控制指令，来控制危化品车辆行驶路线上的其他事故处理设备执行事故处理动作。
可选地，远程控制系统在远程控制物联网业务平台时，可以在远程控制指令中包括针对这些其他事故处理设备的启动命令，或者也可以在远程控制指令中包括对场景联动规则的修改配置信息，以对物联网业务平台处的当前场景联动规则中涉及事故处理设备的部分进行修改，以增加或删除某些事故处理设备的信息，使得物联网业务平台根据修改后的场景联动规则来控制进行事故处理，并将修改后的场景联动规则保存到场景联动规则集合中作为新的场景联动规则。
例如，在场景联动规则中没有对事故处理设备进行定义或者没定义完全，因此需要远程控制系统来定义的情况下，远程控制系统可以从物联网业务平台获取事故识别结果以及存储在物联网业务平台处(例如数据库)与事故识别结果相关联的辅助信息，用于提供给远程控制人员以获取远程控制人员的规则配置信息。例如，如前面所述，在物联网业务平台处危化品车辆的事故发生位置、危化品的类型、或监控到事故的视频监控设备的标识信息等等是已知的，并且基于危化品的类型还可以从相关联的数据库获取相应的灭火对策(辅助信息)，因此在确定总触发条件满足时，这些信息可以被发送到远程控制系统，这样，远程控制人员可以参考这些信息而确定如何修改场景联动规则，以通过物联网业务平台来开启那些事故处理设备。
此外，物联网业务平台可以将事故告警信息通知公众，例如将事故告警信息推送到市民的移动端(小程序、公众号、政务通等等)，例如，可以向市民推送现场通行限制信息、推送绕行路线、推送现场处置进度等等。
可见，在危化品车辆发生事故的情况下，物联网业务平台一方面可以控制事故处理设备执行事故处理动作，例如控制灌溉水阀进行喷水动作，另一方面可以进行通知处理，例如将事故告警信息通知各个不同的部门人员以及公众，从而可以在事故发生时实现了场景联动，即进行场景联动处理。
如前面所述的，场景联动处理可以是基于预先配置的场景联动规则来进行的，其中所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，即如何基于从所述视频监控设备获取的视频监控数据进行危化品车辆识别的结果来启动所述场景联动处理，并定义了事故处理设备执行事故处理动作以及通知处理的方式，即事故处理设备如何执行事故处理动作和如何进行通知处理。
在现场场景联动处理结束后，各相关部门的人员可对事故发生的过程进行追溯。例如，可以查看车辆的行驶轨迹、事故发生位置附近的视频回放(基于视频监控数据)、场景联动处理的事故告警通知数量统计、事故响应及时性、事故处理时长，以及提供事故分析报告。
图4示出了参考图3所描述的基于物联网的用于危化品车辆的事故应急处理的方法的一个具体示例过程图。
如图4所示，在过程401中，云端服务器中的物联网业务平台可以向人机交互界面发送显示信息(该显示信息可以基于视频监控数据得到)，使得可以在交互界面(例如，前端页面)上通过GIS地图等显示预定区域内的视频监控设备(如摄像头)和事故处理设备(如灌溉水阀、干粉灭火装置、智慧电杆等等)的位置，并且可以显示视频监控设备的实时监控画面。
在过程402中，云端服务器中的AI云服务可以对视频监控数据基于AI模型进行识别，以识别危化品车辆的车牌号、车型等，以及识别危化品车辆是否发生起火事故(检测冒烟或起火等)等等。
在过程403中，如果识别出存在发生起火事故的危化品车辆，则AI云服务将识别结果-事故告警信息(告警图片、告警信息)推送到物联网业务平台。
在过程404中，云端服务器中的物联网业务平台基于该识别结果，根据预先配置的场景联动规则来启动场景联动处理，即识别结果与场景联动规则 里的总触发条件匹配(将在后文具体描述总触发条件)，因此可以启动场景联动处理。
在过程405中，作为场景联动处理的一部分，物联网业务平台可以将事故告警信息通知事故发生位置附近的责任人员，例如交警和消防队，例如使得可以快速出警，或者将事故告警信息通知市政部门，例如使得市政部门的人员可以远程控制物联网业务平台，以及时充分地处理事故，如前面详细介绍的。
在过程406中，作为场景联动处理的一部分，物联网业务平台可以将事故告警信息通知公众，例如将事故告警信息推送到市民的移动端(小程序、公众号、政务通等等)，例如，可以向市民推送现场通行限制信息、推送绕行路线、推送现场处置进度等等。
在过程407中，作为场景联动处理的一部分，物联网业务平台可以根据场景联动规则向事故处理设备(或者事故处理设备不能被直接控制的情况下，则向其管理系统)发送命令，以执行事故处理动作，例如该命令用于控制开启灌溉设备进行喷水、灭火装置喷干粉、开启智慧灯杆上的广播系统以通知行人注意避让、开启智慧屏以播放提示(从物联网业务平台获取视频或者文字等等)等等。将在后文参考图5来详细描述配置场景联动规则的过程。
此外，如前面所述，市政部门对所有事故处理设备具有管理权限，与物联网业务平台的控制是互补的，例如，如果物联网业务平台仅控制了灌溉水阀进行喷水动作，则物联网业务平台可以响应于从市政值班人员的业务系统接收的远程控制指令，来进一步开启道路上的智慧灯杆的广播系统、开启智慧屏等等事故处理设备(可以设置在任何位置，而不限于由事故发生位置来确定)以进行事故提示，便于机动车驾驶人员和行人及时看到消息，避让该路段通行。
从上面的描述可知，通过云端服务器中的物联网业务平台、AI云服务、视频云服务各自的处理过程，可以对危化品车辆进行识别以及对该危化品车辆是否发生事故进行识别，并且在识别出发生事故的危化品车辆的情况下，能够根据场景联动规则来进行场景联动处理，因此可以及时进行场景联动，提高了应急处理速度和效率，能够降低对公众的影响且保证公众的人身和财产安全。
下面对场景联动规则的内容进行详细描述。
如前面所述，场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，即如何基于从所述视频监控设备获取的视频监控数据进行危化品车辆识别的结果来启动所述场景联动处理，并定义了事故处理设备执行事故处理动作以及通知处理的方式，即事故处理设备如何执行事故处理动作和如何进行通知处理。
可选地，总触发条件可以至少包括触发设备、每个触发设备对应的触发条件和触发方式。
例如，所述触发设备为从其获取的数据是否满足对应的触发条件的确定结果被用于确定是否启动所述场景联动处理的设备，并且触发条件包括由对应的触发设备的物模型中的属性和/或事件参数限定的条件。每个触发设备的物模型中包括多个属性和事件参数，因此可以从这些属性和事件参数中选择与识别是否发生所述事故的事件存在关联的至少一部分属性和/或事件参数，并设置对应的值。
例如，触发设备可以为指定的设备(例如，从多个设备的列表中选择特定的一个或多个设备，例如，布置在预设卡口位置的某个或某些特定的视频监控设备)，也可以某一类设备(例如，从多个设备的列表中选择特定的一类设备，例如，视频监控设备)。在例如触发设备为多个视频监控设备的情况下，云端服务器需要获取该多个视频监控设备的视频监控数据以进行识别分析。
例如，触发设备可以为视频监控设备，视频监控设备的物模型中可以包括采用用于不同目标的识别算法的属性以及对应于各个识别算法的识别结果的事件参数，例如，场景联动规则中可以将车牌识别算法、危化品车辆识别算法、和事故识别算法(例如冒烟算法和起火识别算法)的属性的值定义为有效值(例如，1)，并且定义这几种识别算法的识别结果可触发执行场景联动处理时的事件参数的值，例如，事件参数为：{type1车牌识别content1车牌、图片地址等}{type2危化品车辆识别content2危化品车类型、图片地址等}{type3事故识别content3冒烟}{type4事故识别content4起火等}，即如果基于视频监控设备的视频监控数据，识别到车牌(相应地获取了车牌和获取该车牌的图片地址)、危化品车辆、发生事故(冒烟、起火)，则可以确定该视频监控设备(触发设备)的物模型中的事件参数限定的条件(危化品车辆发生事故的条件)被满足，即触发设备对应的触发条件被满足。
触发方式可以包括满足所有触发设备的所有触发条件才启动场景联动处 理，或者满足任何一个触发条件即启动场景联动处理。例如，当选择了多个视频监控设备时，可以当所有视频监控设备对应的触发条件均满足时，才确定总触发条件被满足，可以启动场景联动处理，也可以当其中任何一个视频监控设备对应的触发条件满足时，就确定总触发条件被满足，可以启动场景联动处理。考虑本申请的应用场合是事故应急处置，因此可以在任何一个视频监控设备对应的触发条件满足时，就启动场景联动处理。当然，也可以在所有条件满足时才启动场景联动处理，例如为了提高识别精确度，或者采用其数据的视频监控设备的数量较少且距离较近时。
另一方面，如前面所描述的，在场景联动处理时，包括两类处理，即向相关部门(例如，交警、消防队和市政部门等)进行通知(上报告警)和向相关联的事故处理设备发送控制其执行事故处理动作的命令(下发命令)两类。
因此，场景联动规则还应该针对这两类处理的具体方式进行定义，以便在总触发条件满足时，根据该规则来进行处理。
针对上报告警的处理方式，场景联动规则可以定义上报告警的对象，即向谁进行通知报警，例如可以由管理人员选择或者设置，也可以选择第三方业务系统，并定义具体接收的账号；也可以定义选择上报的通知手段，例如发送短信、系统通知等。
针对下发命令的处理方式，场景联动规则可以定义执行事故处理动作的设备，例如，可以用来灭火的设备，例如灌溉水阀和干粉灭火装置等等。可以由管理人员选择或设置事故处理设备(一个或多个)；此外，由于事故处理设备也是物联网平台通过其物模型来实现对其控制的，因此场景联动规则还可以定义所选择的事故处理设备要执行命令对应的事故处理动作需要被设置的属性的参数值，例如场景联动规则定义开关状态属性、喷水时长属性、喷水量属性的值，因此在向灌溉水阀发送命令时，该命令可以根据规则所定义的而将这些属性设置为所定义的值，从而可以指示灌溉水阀以所设置的值进行操作，即开启灌溉水阀按照设置的喷水量进行喷水，并达到预定喷水时长。
此外，如前文所述，当从某个视频监控设备的视频监控数据中识别出发生事故的危化品车辆，则需要控制与该视频监控设备相关联的事故处理设备执行事故处理动作。所创建的场景联动规则中，可以定义所配置的视频监控设备与事故处理设备的关联关系，即，针对每个视频监控设备，配置其相关 联的事故处理设备(基于相隔距离)。当然，场景联动规则也可以不包括该关联关系，而是A.针对所有视频监控设备定义部分事故处理设备作为要下发命令的设备，其余未在规则中定义的合适的事故处理设备由远程控制来控制其进行事故处理；或者B.将所有事故处理设备均作为要下发命令的设备候选，然后在实际启动场景联动处理时，由于物联网业务平台可以基于所存储的预设的关联关系而知道当存在满足触发条件的视频监控设备时，应当向哪个或哪些事故处理设备下发命令，即仅启动这个或这些事故处理设备，或者也可以向这些设备候选的全部下发命令，使得全部设备候选均执行事故处理动作。
可选地，已经配置的一个或多个场景联动规则可以被保存到场景联动规则的集合中。可选地，每个场景联动规则具有对应的规则标识。在实际应用时，可以从已有的场景联动规则的集合中选择当前要使用的场景联动规则。此外，在创建新的场景联动规则时，还可以通过对从场景联动规则的集合选择的场景联动规则进行修改，并将修改后的场景联动规则作为新的场景联动规则添加到场景联动规则的集合中。这样，可以提高规则配置的速度和效率。
此外，还可以根据不同类型的危化品的应用场景，预先配置好场景联动规则集合，这样，当要针对运输某种特定类型的危化品的车辆进行事故识别时，可以直接从场景联动规则集合中选择该特定类型的危化品对应的场景联动规则。
图5示出了根据上述对场景联动规则的描述，管理人员在配置(创建)场景联动规则时的过程示意图。
如图5所示，首先，在过程S501，管理人员可先创建场景联动规则的基本信息，例如管理人员输入包括规则名称、规则生效周期(起始时间)。
在过程S502中，管理人员创建总触发条件，即当总触发条件满足时，则物联网业务平台将启动场景联动处理。总触发条件可以至少包括触发设备、每个触发设备对应的触发条件、和触发方式。
在过程S502-1中，管理人员可以选择触发方式。触发方式可以包括满足所有触发设备对应的所有触发条件才启动场景联动处理，或者满足任何一个触发条件即启动场景联动处理。例如，本申请的应用场合是事故应急处置，因此可以在任何一个视频监控设备对应的触发条件满足时，就启动场景联动处理。
在过程S502-2中，管理人员可以选择触发设备。所述触发设备为从其获 取的数据是否满足对应的触发条件的确定结果被用于确定是否启动所述场景联动处理的设备。触发设备可以为指定的设备(例如，从某一类产品下的多个设备的列表中选择特定的一个或多个设备，例如，布置在预设位置的某个特定的视频监控设备)，也可以某一类设备(例如，从多类产品的列表中选择特定类别的产品下的设备，例如，所有视频监控设备)。在例如触发设备为多个视频监控设备的情况下，云端服务器需要获取该多个视频监控设备的视频监控数据以进行识别分析。
在过程S502-3中，管理人员可以配置每个触发设备对应的触发条件，例如该触发条件是由管理人员配置该触发设备的物模型中的相应的属性和/或事件参数的值来设置的。每个触发设备的物模型中包括多个属性和事件参数，因此可以从这些属性和事件参数中选择与识别是否发生所述事故的事件存在关联的属性和/或事件参数，并设置对应的值。例如，触发设备可以为视频监控设备，视频监控设备的物模型中可以包括采用用于不同目标的识别算法的属性以及对应于各个识别算法的识别结果的事件参数，例如，场景联动规则中可以将车牌识别算法、危化品车辆识别算法、和事故识别算法(例如冒烟算法和起火识别算法)的属性的值定义为有效值(例如，1)，并且定义这几种识别算法的识别结果可触发执行场景联动处理时的事件参数的值，例如，事件参数为：{type1车牌识别content1车牌、图片地址等}{type2危化品车辆识别content2危化品车类型、图片地址等}{type3事故识别content3冒烟}{type4事故识别content4起火等}，即如果基于视频监控设备的视频监控数据，识别到车牌(相应地获取了车牌和获取该车牌的图片地址)、危化品车辆、发生事故(冒烟、起火)，则可以确定该视频监控设备(触发设备)的物模型中的事件参数限定的条件(危化品车辆发生事故的条件)被满足，即触发设备对应的触发条件被满足。
可选地，在要针对运输特定类型的危化品的车辆的事故进行识别而定义场景联动规则时，可以增加或改变可触发执行场景联动处理时的事件参数，例如，可以增加定义火光的颜色的事件参数，这样在视频监控设备的实际监控过程中，当物联网业务平台识别出该种颜色的火光时，可以确定触发条件被满足。
当过程S502中的总触发条件满足时，则物联网业务平台将启动场景联动处理，因此在创建场景联动规则时，还需要对场景联动处理的具体方式进行 定义。
因此，在过程S503中，管理人员可以定义场景联动处理时物联网业务平台需要进行的处理，包括两类处理，即向相关部门(例如，交警、消防队和市政部门等)进行通知(上报告警)和向相关联的事故处理设备发送控制其执行事故处理动作的命令(下发命令)两类，以便在总触发条件满足时，物联网业务平台进行上报告警和/或下发命令。
针对上报告警的处理方式，在过程S503-1中，管理人员可以在场景联动规则中定义上报告警的对象，即向谁进行通知报警(可以是第三方业务系统)，并定义具体接收的账号，也可以定义选择上报的通知手段，例如发送短信、系统通知等，也可以定义上报告警的通道，这些定义的内容例如可以由管理人员输入(选择或者设置)。
针对下发命令的处理方式，在过程S503-2中，管理人员可以在场景联动规则中定义执行事故处理动作的设备，例如，可以用来灭火的设备，例如灌溉水阀和干粉灭火装置等等。可以由管理人员输入(选择或设置)事故处理设备(一个或多个)；此外，由于事故处理设备也是物联网平台通过其物模型来实现对其控制的，因此场景联动规则还可以定义所选择的事故处理设备要执行命令对应的事故处理动作需要被设置的属性的值，例如场景联动规则定义开关状态属性、喷水时长属性、喷水量属性的值，因此在向灌溉水阀发送命令时，该命令可以根据规则所定义的而将这些属性设置为所定义的值，从而可以指示灌溉水阀以所设置的值进行操作，即开启灌溉水阀按照设置的喷水量进行喷水，并达到预定喷水时长。
此外，当要针对运输特定类型的危化品的车辆的事故进行识别而定义规则时，物联网业务平台可以获取管理人员所输入的危化品的类型，并基于该类型从相关联的数据库获取相应的灭火对策，以向管理人员提供配置事故处理设备的参考信息，用于管理人员在场景联动规则中配置合适的事故处理设备。
图6示出了场景联动规则的配置界面的简易示意图，可以在如前面所述的人机交互界面上显示，如图2A中所示的前端页面上显示，并获取管理人员的输入信息。
如图6所示，界面上提供了多个配置框。例如，配置框1-3被提供用于获取场景联动规则的基本信息，例如规则名称、规则生效周期(起始时间)以 及其他备注描述信息等。
配置框4-5被提供用于获取总触发条件的配置信息，例如，配置框4被提供用于获取触发方式的配置信息，配置框5被提供用于获取要新增触发设备以及其对应的触发条件的配置信息，其下一级的配置框用于获取触发设备和触发条件的具体内容的配置信息，这里没有示出。具体的触发方式、触发设备及其对应的触发条件已经在前文详细描述，因此这里不再重复。
配置框6-9被提供用于获取场景联动处理的方式的配置信息。例如，配置框6被提供用于获取管理人员选择的下发命令和上报告警的处理方式的配置信息，并且配置框7被提供用于获取添加针对所选择的处理方式的对应的设备或对象的配置信息，例如下发命令的事故处理设备的配置信息，配置框8-9被提供用于获取事故处理设备执行事故处理动作的服务控制命令以及对应的属性的值的配置信息。此外，配置框还可以包括被提供用于在上报告警的处理方式时获取配置上报对象的具体信息、用于输入或选择上报通道的配置框等等(未示出)。
图6仅以示例的方式示出了场景联动规则过程的配置界面，本领域技术人员应理解，可以根据实际情况而修改该配置界面的布局。
通过预先创建场景联动规则，在基于对视频监控数据进行识别确定发生危化品车辆起火事故之后，基于场景联动规则确定总触发条件被满足，则启动场景联动处理，按照场景联动规则中配置的场景联动处理方式进行上报告警(对应通知处理)和下发命令(对应控制事故处理设备执行事故处理动作)，可以使得事故发生位置附近的事故处理设备迅速进行事故处理，并且经过上报之后，也可以通过远程控制来控制其他事故处理设备(例如，危化品车辆的行驶路线上的其他位置的事故处理设备)进行事故处理，从而可以提高跨部门联动的信息共享效率，以及事故应急处置的效率，减少人员和财产的损失。
此外，物联网业务平台还可以基于如前面提到的识别结果，利用地理信息服务GIS而在人机交互界面(例如，前端页面)上对识别结果进行呈现。
图7示出了危化品车辆监控的显示界面的示意图。
在图7中，在左侧上方示出了危化品车辆的数量和发生事故(例如，起火事故)的上报告警次数。左侧下方示出的告警事件列表则为视频监控设备识别到事故后上报的数据展示，例如包括车牌号、告警事件类别、事故发生 位置。图中间为GIS地图，在GIS地图中会标记出各个视频监控设备和各个事故处理设备所在的位置。右侧上方示出了发生事故的危化品车辆的车型和车牌的简单信息，并且右侧下方示出了该危化品车辆的历史轨迹。
根据本申请的第二方面，还公开了一种基于物联网的用于危化品车辆的事故应急处理的系统，该系统与参考图2A-2C描述的系统类似，并且包括：第一云服务器，用于从预设位置处的视频监控设备获取视频监控数据；第二云服务器，用于基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及物联网业务平台，用于在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
可选地，第一云服务器可以由图2C中的视频云服务来实现，第二云服务器可以由图2C中的AI云服务来实现，并且物联网业务平台可以由图2C中的物联网业务平台来实现。
此外，例如，该系统还可以包括交互装置，所述交互装置用于基于GIS地图显示预设区域内视频监控设备和事故处理设备的位置、用于显示视频监控数据、用于显示所识别的危化品车辆(例如，车牌号、车型、行驶轨迹等)、或者用于显示场景联动处理的相关信息(例如，告警次数、告警时间等等)，并且可选地，交互装置还用于获取输入信息，以配置所述场景联动规则。该交互装置可以由终端(例如，个人计算机、客户端、平板电脑、移动设备、数字个人助理等等)实现。
根据本申请第二方面的该系统的各个组成部分的更多细节已经在前文参考图3-7进行了详细描述，因此这里不再重复描述。
根据本申请的第三方面，还公开了基于物联网的用于危化品车辆的事故应急处理的装置。
图8示出了根据本申请实施例的基于物联网的用于危化品车辆的事故应急处理的装置800的结构框图。
如图8所示，装置800包括获取模块810、事故车辆确定模块820、和场景联动处理模块830。
获取模块810用于从预设位置处的视频监控设备获取视频监控数据。
事故车辆确定模块820用于基于所述视频监控数据确定是否存在发生事故的危化品车辆。
场景联动处理模块830用于在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
可选地，该装置可以由云端的分离的多个服务器来实现各个模块，也可以由云端的一个服务器来实现各个模块，本申请对此不做限制。
另外，根据不同的划分方式以及具有的功能，该装置可以被划分为更多或更少的模块，例如，还可以进一步包括规则配置模块、远程控制模块，用于获取规则的配置信息，而创建场景联动规则，并且远程控制模块用于响应于远程控制指令，控制除了所述事故处理设备之外的能够用于事故处理的其他事故处理设备执行事故处理动作。此外，每个模块还可以进一步划分为更多子模块，本申请对此不做限制。
根据本申请第三方面的该装置800的各个组成部分的更多细节已经在前文参考图3-7进行了详细描述，因此这里不再重复描述。
根据本申请的第四方面，还公开了一种基于物联网的用于危化品车辆的事故应急处理的装置。
图9示出了根据本申请的第四方面的装置900的示意性框图。
如图9所示，装置900可以包括通过系统总线连接的一个或多个处理器、一个或多个存储器，并可选地包括网络接口、输入装置和显示屏。其中，每个存储器包括非易失性存储介质和内存储器。该装置的非易失性存储介质存储有操作系统，还可存储有计算机程序，该计算机程序被处理器执行时，可使得处理器实现如前面所述的基于物联网的用于危化品车辆的事故应急处理的各步骤中描述的各种操作。该内存储器中也可储存有计算机程序，该计算机程序被处理器执行时，可使得处理器执行同样的基于物联网的用于危化品车辆的事故应急处理的各步骤中描述的各种操作。
每个处理器可以是一种集成电路芯片，具有信号的处理能力。上述处理 器可以是通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现成可编程门阵列(FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请的实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等，可以是X84架构或ARM架构的。
非易失性存储器可以是只读存储器(ROM)、可编程只读存储器(PROM)、可擦除可编程只读存储器(EPROM)、电可擦除可编程只读存储器(EEPROM)或闪存。应注意，本申请描述的方法的存储器旨在包括但不限于这些和任意其它适合类别的存储器。
装置900的显示屏可以是液晶显示屏或者电子墨水显示屏，计算设备的输入装置可以是显示屏上覆盖的触摸层，也可以是终端外壳上设置的按键、轨迹球或触控板，还可以是外接的键盘、触控板或鼠标等。
装置900可以是服务器。服务器可以是参考图2A-2C描述的云端服务器，即可以是独立的服务器，也可以是多个服务器构成的服务器集群或者分布式系统，可以提供云服务、云数据库、云计算、云函数、云存储、网络服务、云通信、中间件服务、域名服务、安全服务、CDN、以及大数据和人工智能平台等基础云计算服务。
根据本申请的另一方面，还提供了一种计算机可读存储介质，存储有计算机程序，计算机程序被处理器执行时，使得处理器执行如前面所述的基于物联网的用于危化品车辆的事故应急处理的方法的各步骤。
根据本申请的又一方面，还提供了一种计算机程序产品，包括计算机程序，计算机程序被处理器执行时实现如前面所述的基于物联网的用于危化品车辆的事故应急处理的各步骤。
虽然已经针对本公开的各种具体示例实施例详细描述了本公开，但是每个示例通过解释而不是限制本公开来提供。本领域技术人员在得到对上述内容的理解后，可以容易地做出这样的实施例的变更、变化和等同物。因此，本发明并不排除包括将对本领域普通技术人员显而易见的对本公开的这样的修改、变化和/或添加。例如，作为一个实施例的一部分图示或描述的特征可以与另一实施例一起使用，以产生又一实施例。因此，意图是本公开覆盖这样的变更、变化和等同物。
具体地，尽管本公开的附图出于图示和讨论的目的分别描述了以特定顺 序执行的步骤，但是本公开的方法不限于特定图示的顺序或布置。在不偏离本公开的范围的情况下，上述方法的各个步骤可以以各种方式省略、重新布置、组合和/或调整。
本领域技术人员可以理解，本申请的各方面可以通过若干具有可专利性的种类或情况进行说明和描述，包括任何新的和有用的工序、机器、产品或物质的组合，或对他们的任何新的和有用的改进。相应地，本申请的各个方面可以完全由硬件执行、可以完全由软件(包括固件、常驻软件、微码等)执行、也可以由硬件和软件组合执行。以上硬件或软件均可被称为“数据块”、“模块”、“引擎”、“单元”、“组件”或“系统”。此外，本申请的各方面可能表现为位于一个或多个计算机可读介质中的计算机产品，该产品包括计算机可读程序编码。
以上是对本公开的说明，而不应被认为是对其的限制。尽管描述了本公开的若干示例性实施例，但本领域技术人员将容易地理解，在不背离本公开的新颖教学和优点的前提下可以对示例性实施例进行许多修改。因此，所有这些修改都意图包含在权利要求书所限定的本公开范围内。应当理解，上面是对本公开的说明，而不应被认为是限于所公开的特定实施例，并且对所公开的实施例以及其他实施例的修改意图包含在所附权利要求书的范围内。本公开由权利要求书及其等效物限定。

Claims (17)

  1. 一种基于物联网的用于危化品车辆的事故应急处理的方法，包括：
    从预设位置处的视频监控设备获取视频监控数据；
    基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及
    在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，
    其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
  2. 根据权利要求1所述的方法，其中，所述场景联动规则中的所述总触发条件包括触发方式、触发设备、每个触发设备对应的触发条件，
    其中，所述触发方式包括：所有触发设备对应的触发条件中的任何一个触发条件被满足即启动场景联动处理，或者所有触发设备对应的触发条件均满足时才启动场景联动处理；
    所述触发设备为从其获取的数据是否满足对应的触发条件的确定结果被用于确定是否启动所述场景联动处理的设备，并且包括所述预设位置处的视频监控设备；
    所述触发条件包括由对应的触发设备的物模型中的至少一部分属性和/或事件参数的设置值限定的条件。
  3. 根据权利要求2所述的方法，其中，每个视频监控设备的物模型中包括多个属性和事件参数，
    所述至少一部分属性和/或事件参数是所述多个属性和事件参数中与识别是否发生所述事故存在关联的属性和/或事件参数。
  4. 根据权利要求2或3所述的方法，其中，每个事故处理设备的物模型中包括多个属性和事件参数，
    所述场景联动规则还定义所述事故处理设备的物模型中的多个属性和事件参数当中的、执行所述事故处理动作需要被设置的属性的值。
  5. 根据权利要求4所述的方法，其中，每个视频监控设备与至少一个事故处理设备存在关联关系，使得在基于所述视频监控数据确定存在发生所述事故的危化品车辆的情况下，控制所述视频监控数据相关联的视频监控设备相关联的事故处理设备执行事故处理动作。
  6. 根据权利要求4所述的方法，其中，所述关联关系由所述场景联动规则定义、与所述场景联动规则独立地存储、或者由在所述视频监控设备的物模型定义。
  7. 根据权利要求5所述的方法，其中，每个视频监控设备相关联的事故处理设备是距当前视频监控设备预定范围内的事故处理设备或者已知行驶路径上当前视频监控设备的位置之后的事故处理设备。
  8. 根据权利要求1所述的方法，其中，基于所述视频监控数据确定是否存在发生事故的危化品车辆，包括：
    基于所述视频监控数据利用AI模型识别是否存在危化品车辆；以及
    在存在危化品车辆的情况下，基于所述视频监控数据利用所述AI模型识别是否存在发生事故的危化品车辆。
  9. 根据权利要求8所述的方法，其中，每个视频监控设备与至少一个事故处理设备存在关联关系，所述方法还包括：
    基于所述视频监控数据利用所述AI模型识别所述危化品车辆所运输的危化品类型；
    基于所述危化品类型确定所述视频监控数据对应的视频监控设备相关联的事故处理设备当中、适合用于事故处理的事故处理设备。
  10. 根据权利要求4所述的方法，其中，控制事故处理设备执行事故处理动作，包括：
    向所述事故处理设备发送执行动作命令，用于控制所述事故处理设备执行事故处理动作，
    其中，所述执行动作命令是基于所述场景联动规则中针对所述事故处理 设备的物模型中的至少一个属性的设置值来生成的。
  11. 根据权利要求1所述的方法，其中，所述通知处理包括以下一项或多项：
    将事故告警信息通知所述事故发生位置附近的责任人员；
    将事故告警信息通知市政部门；
    将事故告警信息通知公众，
    其中，所述事故告警信息至少包括事故发生位置、事故发生时间、和所述事故处理设备的信息。
  12. 根据权利要求11所述的方法，还包括：
    在将所述事故告警信息进行通知之后，获取远程控制指令；以及
    响应于所述远程控制指令，基于所述事故处理设备的信息控制除了所述事故处理设备之外的能够用于事故处理的其他事故处理设备执行事故处理动作。
  13. 一种基于物联网的用于危化品车辆的事故应急处理的系统，包括：
    第一云服务器，用于从预设位置处的视频监控设备获取视频监控数据；
    第二云服务器，用于基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及
    物联网业务平台，用于在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，
    其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
  14. 根据权利要求13所述的系统，还包括：
    交互装置，所述交互装置用于基于GIS地图显示预设区域内视频监控设备和事故处理设备的位置、用于显示视频监控数据、用于显示所识别的危化品车辆、或者用于显示场景联动处理的相关信息。
  15. 根据权利要求13或14所述的系统，其中，所述交互装置还用于获取输入信息，以配置所述场景联动规则。
  16. 一种基于物联网的用于危化品车辆的事故应急处理的装置，包括：
    获取模块，用于从预设位置处的视频监控设备获取视频监控数据；
    事故车辆确定模块，用于基于所述视频监控数据确定是否存在发生事故的危化品车辆；以及
    场景联动处理模块，用于在存在发生所述事故的危化品车辆的情况下，启动场景联动处理，其中，所述场景联动处理包括控制事故处理设备执行事故处理动作以及通知处理，
    其中，所述场景联动处理基于预先配置的场景联动规则，所述场景联动规则定义了用于启动所述场景联动处理的针对所述视频监控设备的总触发条件，并定义了事故处理设备执行事故处理动作以及通知处理的方式。
  17. 一种基于物联网的用于危化品车辆的事故应急处理的装置，包括：
    一个或多个处理器；
    一个或多个存储器，其上存储有计算机程序，所述计算机程序在由所述一个或多个处理器执行时，实现如权利要求1‐12中任一项所述的方法。
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