An air cargo operation monitoring system
By designing the monitoring system of aviation goods operation operations, real -time monitoring and management of the status and location of various links, solving the problems of relying on experience in existing technology to conduct risk early warning and unclear responsibility division, and realize the real -time monitoring and risk of the entire process of aviation operation operations. Early warning reduced safety risks and increased flight loading rates.
Patent Information
- Application Number
- CN202410311734.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-19
- Publication Date
- 2025-01-28
- Estimated Expiration
- 2044-03-19
AI Technical Summary
In air cargo guarantee operations, the existing technology relies on staff experience to conduct risk warnings and post-event problem retracement, resulting in unclear division of responsibilities, untimely risk judgments, and easy to miss problems, increasing the probability of cargo being pulled down.
A aircraft cargo operation monitoring system is designed, including the operating monitoring platform, vehicle positioning device, smart terminal equipment and servers, and real -time monitoring and location of the entire process of operation through real -time monitoring and management of the status and location of each link.
Real -time monitoring and risk early warning of the entire process of aviation operation operations have been realized, the safety risks have been reduced, the shipping rate is improved, and the clarification and problems of responsibility division are ensured.
Smart Images

Figure CN118042087B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of video monitoring technology, and in particular to an air cargo operation monitoring system. Background Art
[0002] In the process of air cargo support, in order to achieve full-process management of cargo support business, technologies such as walkie-talkies and security video surveillance are usually used to achieve real-time monitoring, thereby providing a basis for scheduling decisions for cargo support. This process requires dispatchers at all levels to actively discover and report problems layer by layer in order to form effective intervention measures and problem-solving solutions.
[0003] In this operating mode, the on-site supervisor of each position is responsible for monitoring specific business links. They report problems occurring on site through walkie-talkies, but this method has obvious limitations: it cannot provide a comprehensive and efficient monitoring method for the entire operating process. In other words, it is difficult for the on-site supervisor to understand the situation of the entire workflow and the status and guarantee of the previous links in real time and intuitively, and thus cannot make timely preparations and adjust personnel resources for the guarantee of the current link.
[0004] At the same time, this model also has the following problems: First, although it can be guaranteed in terms of real-time performance, it is easy to cause troubles and disputes in the subsequent tracing of problems and division of responsibilities; second, the risk judgment of the process is mostly based on the experience of the person in charge of each link, and the experience of personnel varies, and it is impossible to guarantee that the person in charge of each link can discover problems and issue warnings in time; third, word of mouth and paper records can easily lead to the omission of problems and increase the probability of goods being pulled off. Summary of the invention
[0005] The present application provides an air cargo operation monitoring system, which aims to solve the problem in the prior art that air cargo support operations need to rely on the experience of staff for risk warning and unclear division of responsibilities during subsequent problem tracing.
[0006] To achieve the above objectives, this application adopts the following technical solutions:
[0007] The present application provides an air cargo operation monitoring system, including an operation monitoring platform, a plurality of vehicle positioning devices, a plurality of intelligent terminal devices and a server, wherein:
[0008] The operation monitoring platform is set up in the joint command and dispatch center to perform monitoring and early warning operations of the entire process of the freight station, as well as monitor and manage the multiple vehicle positioning devices and intelligent terminal equipment;
[0009] The vehicle positioning device is arranged on each tractor of the cargo station and is used to obtain the real-time position information of each tractor;
[0010] The intelligent terminal device is set on each staff member of the whole process operation of the cargo terminal, and is used to collect the status information of each staff member;
[0011] The server is connected to the operation monitoring platform, the vehicle positioning device and the intelligent terminal device respectively, and is used for information interaction and data processing among the operation monitoring platform, the vehicle positioning device and the intelligent terminal device.
[0012] Preferably, the whole process operation of the cargo terminal includes various task nodes in the port entry and exit and warehouse inspection business, and each task node has one or more scheduling tasks.
[0013] Preferably, the operation monitoring platform comprises:
[0014] A task node configuration module is used to configure and store each task node in the port entry and exit and warehouse patrol business;
[0015] The task node decomposition module is used to decompose each task node into one or more scheduling tasks according to the configuration information of the task node, and send each scheduling task to the smart terminal device of the corresponding staff;
[0016] The task status monitoring module is used to obtain the execution status of tasks uploaded by each worker in his / her smart terminal device and display the status of all tasks in the work flow chart;
[0017] The early warning and alarm module is used to configure the time threshold and completion threshold of the early warning and alarm, and to issue early warning and alarm for the task risks in the port entry and exit and warehouse patrol business.
[0018] Preferably, the operation monitoring platform further includes:
[0019] The operation track monitoring module is used to obtain the real-time geographic location information of all vehicle positioning devices and intelligent terminal devices, and present the real-time geographic location information in the cargo terminal map layer;
[0020] A vehicle information monitoring module, used to obtain the operation information, loading information and real-time geographic location information of all tractors, and present the operation information, loading information and real-time geographic location information in the cargo terminal map layer;
[0021] A personnel information monitoring module, used to obtain the task information, health value information and real-time geographic location information of all staff members, and present the task information, health value information and real-time geographic location information in the cargo terminal map layer;
[0022] The monitoring query module is used to query the current and historical operation tracks of each scheduling task.
[0023] Preferably, the operation monitoring platform further includes:
[0024] The data viewing module is used to view the text, voice, picture or video data uploaded by each staff member through his or her smart terminal device, and to download and manage the text, voice, picture or video data.
[0025] Preferably, the smart terminal device includes an Android smart watch, AR glasses and a handheld terminal.
[0026] Preferably, the intelligent terminal device comprises:
[0027] GIS information collection module, used to collect real-time geographic location information of each staff member;
[0028] Health information collection module, used to collect health numerical information of each staff member;
[0029] The reporting module is used to report the real-time geographic location information and health value information of each staff member to the server, and the server conveys it to the operation monitoring platform.
[0030] Preferably, the intelligent terminal device further includes:
[0031] A task receiving module, used to receive and display the dispatching tasks issued by the joint command and dispatch center;
[0032] The task confirmation module is used to confirm the receipt of the scheduled task and report the task execution status.
[0033] Preferably, the intelligent terminal device further includes:
[0034] A call module, used for making a voice or video call with the dispatcher of the joint command and dispatch center;
[0035] The shooting module is used to shoot the execution status of each dispatching task and upload the obtained pictures or videos to the dispatcher of the joint command and dispatch center.
[0036] Preferably, the operation monitoring platform further includes:
[0037] The emergency response module is used to send emergency tasks to emergency responders through the intelligent terminal device when an emergency event occurs, and receive the task execution status uploaded by the emergency responders.
[0038] The present invention has the following beneficial effects:
[0039] This application provides an intelligent, systematic, and complete closed-loop solution for the smart monitoring of air cargo operations. Through point-of-care data collection at all stages of cargo security combined with video analysis, it enables monitoring of the entire operation process and issues security warnings, thereby reducing safety risks and increasing flight load factors. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0041] Figure 1 This is a structural diagram of an air cargo operation monitoring system of the present application;
[0042] Figure 2 It is a structural diagram of the operation monitoring platform of this application;
[0043] Figure 3 It is a schematic diagram of the task node configuration rules of this application;
[0044] Figure 4 This is a schematic diagram of the outbound business process for this application;
[0045] Figure 5 This is a schematic diagram of the port entry business process for this application;
[0046] Figure 6 This is a schematic diagram of the warning and alarm rule configuration for this application;
[0047] Figure 7 It is a schematic diagram of the operation trajectory monitoring of this application;
[0048] Figure 8 It is a schematic diagram of vehicle information monitoring of the present application;
[0049] Fig. 9 This is the personnel information monitoring indication for this application;
[0050] Fig.10 It is a diagram of the task list of this application;
[0051] Fig.11 It is the monitoring flow chart of this application;
[0052] Fig.12 It is a schematic diagram of inventory goods monitoring in this application. DETAILED DESCRIPTION
[0053] The following will be combined with the accompanying drawings to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.
[0054] The terms "first", "second", etc. in the claims and specification of the present application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable under appropriate circumstances. This is merely a way of distinguishing objects with the same properties in the embodiments of the present application. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, so that a process, method, system, product or apparatus that includes a series of units is not necessarily limited to those units, but may include other units not expressly listed or inherent to these processes, methods, products or apparatus.
[0055] like Figure 1 As shown, an air cargo operation monitoring system includes an operation monitoring platform, multiple vehicle positioning devices, multiple intelligent terminal devices and a server, wherein the operation monitoring platform is arranged in a joint command and dispatch center, and is used to perform monitoring and early warning operations of the entire process of the cargo terminal, and to monitor and manage the multiple vehicle positioning devices and intelligent terminal devices; the vehicle positioning device is arranged on each tractor of the cargo terminal, and is used to obtain the real-time location information of each tractor; the intelligent terminal device is arranged on each staff member of the entire process of the cargo terminal, and is used to collect the status information of each staff member; the server is respectively connected to the operation monitoring platform, the vehicle positioning device and the intelligent terminal device, and is used to perform information interaction and data processing among the operation monitoring platform, the vehicle positioning device and the intelligent terminal device.
[0056] In this embodiment, the operation monitoring platform can be a PC or an industrial computer, which is installed in the joint command and dispatch center UOC; the vehicle positioning device is a GPS positioning device, which is installed on each tractor in the freight station, and sends vehicle positioning information to the server once every minute, and transmits the vehicle positioning information to the operation monitoring platform via the server; the smart terminal device is an Android smart watch, AR glasses or handheld terminal, which is worn by each staff member. The introduction of smart terminal devices can reduce the manual entry operations of the staff and improve the accuracy of the operation data.
[0057] The whole process operation of the cargo terminal includes various task nodes in the port entry and exit and warehouse inspection business. Specifically, in this embodiment, the port exit business mainly includes five task nodes: collection and transportation, assembly, loading, reweighing and installation. The port entry business mainly includes four task nodes: unloading, handover, tallying and picking up. The warehouse inspection business mainly includes the task node of inspection. According to actual needs, each task node can be decomposed into one or more specific scheduling tasks. For example, unloading can be divided into two tasks: putting on the wheel gear and opening the hatch to unload. The UOC dispatcher can remotely push the specific scheduling tasks to the smart terminal devices of relevant staff members by issuing tasks.
[0058] Furthermore, if Figure 2 As shown, the operation monitoring platform includes:
[0059] The task node configuration module is used to configure and store each task node in the port entry and exit and warehouse patrol business. It mainly supports the configuration of the standard service duration of each task node. Specifically, the task node configuration module is used to configure the business line to which each task node belongs and its business line name, node name, node number, small cargo plane duration and large cargo plane duration, such as Figure 3 shown.
[0060] The task node decomposition module is used to decompose each task node into one or more scheduling tasks according to the configuration information of the task node, and send each scheduling task to the smart terminal device of the corresponding staff;
[0061] The task status monitoring module is used to obtain the task execution status uploaded by each staff member in their smart terminal device and display the status of all tasks in the operation flow chart. Specifically, the task execution status reported by the staff in the Android smart watch, AR glasses or handheld terminal is obtained and displayed in the corresponding operation process. If it is a departure business, its completion status is added to the departure business process chart, such as Figure 4 As shown, the port arrival business is added to the port arrival business process diagram, such as Figure 5 As shown, the warehouse patrol business is added to the warehouse patrol business process diagram, and the task completion rate is marked in the operation process diagram, which can be 100%, 90% or other. A scheduling task may only require one staff member to complete, or it may require several people to collaborate to complete it at the same time, or it may require several people to complete it one after another. At the same time, due to some unexpected reasons, the staff may have to interrupt the operation during the execution of the task, which will make the task completion rate not 100%.
[0062] The early warning and alarm module is used to configure the time threshold and completion threshold of early warning and alarm, and to issue early warning and alarm for the task risks in the port entry and exit and warehouse patrol business. Specifically, the early warning and alarm module is used to configure the early warning and alarm rules corresponding to each task node, mainly to configure the early warning time threshold, early warning completion threshold, alarm time threshold and alarm completion threshold, such as Figure 6 As shown in the figure, when configuring the early warning and alarm rules for the task node of picking up goods, the early warning time threshold is set to 30 minutes, which means that an early warning will be issued when there are 30 minutes left for picking up goods. The early warning completion threshold is set to 0.8, which means that an early warning will be issued again when the completion degree of the picking up task is only 0.8. The alarm time threshold is set to 0.8, which means that an alarm will be issued when the preset pickup time has been reached. The alarm completion threshold is set to 0.8, which means that an alarm will be issued for tasks with a completion degree of only 0.8. These early warning and alarm rules are presented in the form of a table. Then, when an early warning or alarm is triggered, the early warning or alarm information will be sent to the intelligent terminal device and the operation monitoring platform. Furthermore, if the UOC dispatcher receives abnormal behavior reported by the staff or the system automatically analyzes abnormal behavior through monitoring, an alarm operation can also be issued.
[0063] Furthermore, the operation monitoring platform also includes:
[0064] The operation track monitoring module is used to obtain the real-time geographic location information of all vehicle positioning devices and intelligent terminal devices, and present the real-time geographic location information in the cargo station map layer. Specifically, the operation track module is used to present all vehicle positioning devices and intelligent terminal devices in the corresponding cargo station map layer, such as Figure 7 As shown, the freight station map layer refers to the geographical location information of the freight station collected in the early stage with the permission of the freight station customers, and a special map layer is customized based on this. UOC dispatchers can intuitively understand the movement trajectories of each tractor and staff through the freight station map.
[0065] The vehicle information monitoring module is used to obtain the operation information, loading information and real-time geographic location information of all tractors, and present the operation information, loading information and real-time geographic location information in the cargo station map layer. Specifically, the vehicle information monitoring module is used to obtain the tractor number, business type, driver name and cargo information corresponding to the tractor, such as Figure 8 As shown, the cargo information also includes the bill of lading number, truck number, product name, number of pieces and weight. It also supports voice or video calls with the driver. This information is formed into a table and presented in the cargo station map layer. The UOC dispatcher can obtain the table by clicking the corresponding vehicle in the cargo station map layer.
[0066] The personnel information monitoring module is used to obtain the task information, health value information and real-time geographic location information of all personnel, and present the task information, health value information and real-time geographic location information in the cargo terminal map layer. Specifically, Fig. 9 As shown, the personnel information monitoring module is not only used to obtain the staff's name, task name and health value information, including heart rate, blood oxygen, blood pressure and body temperature, but also to obtain the corresponding smart terminal device ID, task details, task execution status, whether it is online and real-time geographic location, and present it in the cargo terminal map layer. The UOC dispatcher can obtain these detailed information by clicking the corresponding position in the cargo terminal map layer. When the health value information of the staff issues an alarm, the UOC dispatcher can contact the corresponding staff in time and make reasonable arrangements for them.
[0067] The monitoring and query module is used to query the current and historical operation tracks of each dispatch task. Specifically, UOC dispatchers can view the real-time and historical operation tracks of dispatch tasks in the operation track monitoring module with a simple click, which provides a basis for dispatchers to analyze abnormal behaviors.
[0068] Furthermore, the intelligent terminal device includes:
[0069] GIS information collection module, used to collect real-time geographic location information of each staff member;
[0070] Health information collection module, used to collect health numerical information of each staff member;
[0071] The reporting module is used to report the real-time geographic location information and health value information of each staff member to the server, and the server conveys it to the operation monitoring platform.
[0072] The reporting module sends each staff member's real-time geographic location information and health value information to the operation monitoring platform, providing reference data for UOC dispatchers to timely understand the physical condition and work intensity of front-line support personnel. It also provides a basis for dispatchers to dispatch personnel resources, thereby helping the dispatch management to make more accurate decisions, while also providing protection for the safety of front-line support personnel.
[0073] Furthermore, the intelligent terminal device further includes:
[0074] A task receiving module, used to receive and display the dispatching tasks issued by the joint command and dispatch center;
[0075] A task confirmation module is used to confirm the receipt of the scheduled task and report the task execution status;
[0076] A call module, used for making a voice or video call with the UOC dispatcher;
[0077] The shooting module is used to shoot the execution status of each scheduling task and upload the obtained pictures or videos to the UOC dispatcher.
[0078] On-site staff receive dispatch tasks, confirm dispatch tasks, and report the execution status of dispatch tasks through the Android smart watches, AR glasses, or handheld terminals they wear. A task list is generated based on the dispatch tasks received, such as Fig.10 As shown, if necessary, you can also submit additional text, voice, picture or video information to illustrate the task execution status or report abnormal events, so that the UOC dispatcher can understand the task details.
[0079] Furthermore, the operation monitoring platform also includes:
[0080] The data viewing module is used to view the text, voice, picture or video data uploaded by each staff member through his / her smart terminal device, and to download and manage the text, voice, picture or video data;
[0081] The emergency response module is used to send emergency tasks to emergency responders through the intelligent terminal device when an emergency event occurs, and receive the task execution status uploaded by the emergency responders.
[0082] Specifically, during the emergency response process, the UOC dispatcher can directly issue emergency response tasks to Android smart watches, AR glasses or handheld terminals on the operation monitoring platform. After receiving the emergency tasks, the emergency responders will carry out emergency response. After the response is completed, the response results can be uploaded by taking photos, voice or text descriptions. The UOC dispatcher can check the response status on the operation monitoring platform, or provide remote guidance in real time from the first-person perspective of the emergency responder through AR glasses.
[0083] like Fig.11 As shown, in this embodiment, the above monitoring system is described according to the specific process of port entry and exit and warehouse inspection business:
[0084] Step S01, in the outbound collection and transportation business, when the goods arrive at the cargo terminal, the cargo terminal inspects the goods and collects and transports them into the warehouse. The operation monitoring platform deducts the standard service time of the installation, re-weighing, loading, assembly, and collection and transportation links configured in the task node configuration module according to the planned departure time of the flight pre-assigned with the goods, calculates the recommended collection and transportation time and displays it in the task status monitoring module. When the actual collection and transportation operation reported by the Android system smart watch is not collected beyond this time point, the system will automatically alarm and make a conspicuous prompt in the task status monitoring module. The UOC dispatcher can view the real-time collection and transportation monitoring video and historical video of the collection and transportation area in the operation trajectory monitoring module with a simple click. Step S02, when the goods After completing step S01 of collection and storage, the operator performs the assembly operation and loads the goods into the bulk bin or container. The operation monitoring platform deducts the standard service time of the installation, reweighing, loading and assembly links configured in the task node configuration module according to the scheduled departure time of the flight to which the goods are pre-assigned, calculates the recommended assembly time and displays it in the task status monitoring module. If the actual assembly operation reported by the Android smart watch is not collected within the recommended assembly time point, the system will automatically alarm and make a prominent prompt in the task status monitoring module. The UOC dispatcher can view the real-time assembly monitoring video and historical video of the assembly area in the operation trajectory monitoring module with a simple click.
[0085] Step S03, when the cargo is assembled in step S02, the operation monitoring platform deducts the standard service time of the installation, reweighing and loading links configured in the task node configuration module according to the scheduled take-off time of this flight, calculates the recommended loading time of this flight and displays it in the task status monitoring module. If the actual loading operation is not completed within the recommended loading time point, the system will automatically alarm and make a prominent prompt in the task status monitoring module. The UOC dispatcher can view the real-time installation monitoring video and historical video in the operation trajectory monitoring module with a simple click.
[0086] Step S04, when the cargo has completed the loading flight in step S03, the operation monitoring platform will deduct the standard service time of the installation and reweighing links configured by the task node configuration module according to the scheduled take-off time of this flight, calculate the recommended reweighing time for the cargo of this flight and display it in the task status monitoring module. If the actual reweighing operation reported by the Android system smart watch is not collected within the recommended reweighing time, the system will automatically alarm and make a prominent prompt in the task status monitoring module. The UOC dispatcher can view the real-time reweighing monitoring video and historical video in the operation trajectory monitoring module with a simple click.
[0087] Step S05, when the cargo has been weighed in step S04, the operation monitoring platform deducts the standard service time of the installation configured by the task node configuration module according to the scheduled take-off time of this flight, calculates the recommended installation time for this flight and displays it in the task status monitoring module. If the actual installation operation is not reported through the Android system smart watch within the recommended installation time point, the system will automatically alarm and give a prominent prompt in the task status monitoring module. The UOC dispatcher can view the real-time installation monitoring video and historical video in the operation trajectory monitoring module with a simple click.
[0088] Step S06, in the inbound business, when the cargo arrives at this station, the operation monitoring platform deducts the standard service time of unloading configured in the task node configuration module according to the actual landing time of this flight, calculates the recommended unloading time of this flight and displays it in the task status monitoring module. If the actual unloading operation is not reported through the Android system smart watch within the recommended unloading time point, the system will automatically issue an alarm prompt, and the UOC dispatcher can view the real-time unloading monitoring video and historical video in the operation trajectory monitoring module with a simple click.
[0089] Step S07, when the cargo is unloaded from the aircraft after completing step S06, the operation monitoring platform deducts the standard service time for unloading and handover configured by the task node configuration module according to the actual landing time of this flight, calculates the recommended handover time for the cargo of this flight and displays it in the task status monitoring module. If the data reported by the Android system smart watch is not collected within the recommended cargo handover time point, the system will automatically issue an alarm prompt, and the UOC dispatcher can view the real-time handover monitoring video and historical video in the operation trajectory monitoring module with a simple click.
[0090] Step S08, when the cargo is handed over to the terminal after completing step S07, the operation monitoring platform deducts the standard service time of unloading, handover and tallying configured by the task node configuration module according to the actual landing time of this flight, calculates the recommended tallying time for the cargo and displays it in the task status monitoring module. If the tallying data reported by the Android system smart watch is not collected within the recommended cargo physical loading time, the system will automatically issue an alarm prompt, supporting the UOC dispatcher to view the real-time tallying monitoring video and historical video in the operation trajectory monitoring module by a simple click.
[0091] Step S09, when the cargo has completed the tallying and inventorying in step S08, the operation monitoring platform deducts the standard service time of unloading, handover, tallying and picking up configured in the task node configuration module according to the actual landing time of this flight, calculates the recommended pickup time for the cargo and displays it in the task status monitoring module. If the pickup data reported by the Android system smart watch is not collected within the recommended pickup time point, the system will automatically issue an alarm prompt, supporting the UOC dispatcher to view the real-time pickup monitoring video and historical video in the operation trajectory monitoring module with a simple click.
[0092] Step S10: During the warehouse inspection operation, the warehouse inspector performs daily inspections of the warehouse. The system automatically dispatches the warehouse inspection tasks according to the set warehouse inspection plan. If the warehouse inspection data reported by the Android system AR glasses is not collected within the warehouse inspection plan time, the system automatically issues an alarm to remind the UOC dispatcher. The dispatcher can view the warehouse inspection status of the warehouse inspector in the work interface and supervise and guide it from a first-person perspective through the AR glasses. After the warehouse inspector completes the daily warehouse inspection and inventory of the inventory, he can view and monitor the storage status of the goods in different cargo locations in the operation trajectory monitoring module, such as Fig.12 shown.
[0093] When an emergency occurs, the UOC dispatcher can directly issue emergency response tasks to the corresponding emergency responders through smart watches and AR glasses on the work interface of the operation monitoring platform. After receiving the emergency tasks, the emergency responders will carry out emergency response. After the response is completed, the response results can be uploaded by taking photos, voice, and text descriptions. The UOC dispatcher can view the response status on the work interface and provide remote guidance from the first-person perspective of the emergency responder in real time through AR glasses.
[0094] This embodiment first collects operation data at each business assurance link to fundamentally improve the real-time nature of the operation data. At the same time, it introduces smart wearable devices to reduce human input and improve the accuracy of operation data.
[0095] At the same time, combined with the scheduled flight departure time and the standard service time for inbound and outbound support, the recommended time for each support node is calculated and compared with the actual support time. The results are displayed and reminded, realizing real-time monitoring and risk warning of the entire process of cargo support operations, which can help scheduling management make more accurate decisions.
[0096] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.
Claims
1. An air cargo operation monitoring system, characterized in that: It includes an operation monitoring platform, multiple vehicle positioning devices, multiple intelligent terminal devices and servers, including: The operation monitoring platform is set up in the joint command and dispatch center to perform monitoring and early warning operations of the entire process of the freight station, as well as monitor and manage the multiple vehicle positioning devices and intelligent terminal equipment; The vehicle positioning device is arranged on each tractor of the cargo station and is used to obtain the real-time position information of each tractor; The intelligent terminal device is set on each staff member of the whole process operation of the cargo terminal, and is used to collect the status information of each staff member; The server is connected to the operation monitoring platform, the vehicle positioning device and the intelligent terminal device respectively, and is used for information interaction and data processing between the operation monitoring platform, the vehicle positioning device and the intelligent terminal device; The operation monitoring platform also includes: The operation track monitoring module is used to obtain the real-time geographic location information of all vehicle positioning devices and intelligent terminal devices, and present the real-time geographic location information in the cargo terminal map layer; A vehicle information monitoring module, used to obtain the operation information, loading information and real-time geographic location information of all tractors, and present the operation information, loading information and real-time geographic location information in the cargo terminal map layer; A personnel information monitoring module, used to obtain the task information, health value information, online information and real-time geographic location information of all staff members, and present the task information, health value information, online information and real-time geographic location information in the cargo terminal map layer; The monitoring query module is used to query the current and historical operation tracks of each scheduling task.
2. The air cargo operation monitoring system according to claim 1, characterized in that: The whole process operation of the cargo station includes various task nodes in the port entry and exit and warehouse inspection business, and each task node has one or more scheduling tasks.
3. The air cargo operation monitoring system according to claim 2, characterized in that: The operation monitoring platform includes: A task node configuration module is used to configure and store each task node in the port entry and exit and warehouse patrol business; The task node decomposition module is used to decompose each task node into one or more scheduling tasks according to the configuration information of the task node, and send each scheduling task to the smart terminal device of the corresponding staff; The task status monitoring module is used to obtain the execution status of tasks uploaded by each worker in his / her smart terminal device and display the status of all tasks in the work flow chart; The early warning and alarm module is used to configure the time threshold and completion threshold of the early warning and alarm, and to issue early warning and alarm for the task risks in the port entry and exit and warehouse patrol business.
4. The air cargo operation monitoring system according to claim 1, characterized in that: The operation monitoring platform also includes: The data viewing module is used to view the text, voice, picture or video data uploaded by each staff member through his or her smart terminal device, and to download and manage the text, voice, picture or video data.
5. The air cargo operation monitoring system according to claim 1, characterized in that: The smart terminal devices include Android smart watches, AR glasses and handheld terminals.
6. The air cargo operation monitoring system according to claim 1, characterized in that: The intelligent terminal device comprises: GIS information collection module, used to collect real-time geographic location information of each staff member; Health information collection module, used to collect health numerical information of each staff member; The reporting module is used to report the real-time geographic location information and health value information of each staff member to the server, and the server conveys it to the operation monitoring platform.
7. The air cargo operation monitoring system according to claim 1, characterized in that: The intelligent terminal device also includes: A task receiving module, used to receive and display the dispatching tasks issued by the joint command and dispatch center; The task confirmation module is used to confirm the receipt of the scheduled task and report the task execution status.
8. The air cargo operation monitoring system according to claim 1, characterized in that: The intelligent terminal device also includes: A call module, used for making a voice or video call with the dispatcher of the joint command and dispatch center; The shooting module is used to shoot the execution status of each dispatching task and upload the obtained pictures or videos to the dispatcher of the joint command and dispatch center.
9. The air cargo operation monitoring system according to claim 1, characterized in that: The operation monitoring platform also includes: The emergency response module is used to send emergency tasks to emergency responders through the intelligent terminal device when an emergency event occurs, and receive the task execution status uploaded by the emergency responders.
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