Cargo tracking method, device, equipment and storage medium

Abstract

The embodiments of the present disclosure provide a cargo tracking method, device, equipment and storage medium. The method includes associating the identification of the cargo with the identification of the carrier carrying the cargo; obtaining the location information of the carrier and the time information corresponding to the location information from the positioning system according to the identification of the carrier; obtaining the video information of the carrier based on the time information and the video shooting equipment associated with the location information on the road and / or building; wherein the identification of the cargo, the identification of the carrier and the identification of the video shooting equipment are generated and parsed using a unified naming rule in the positioning system, the highway big data system, the geographic information system and the building information management system. In this way, the monitoring efficiency of the cargo can be improved.

Description

Technical Field

[0001] The present disclosure relates to the field of logistics monitoring, and in particular to the field of cargo tracking. Background Art

[0002] In the existing cargo logistics operation cycle, the main method is to monitor cargo transport vehicles.

[0003] However, the various data in the entire logistics process are usually scattered and fragmented, the data are prone to interruption, and the monitoring efficiency is low. Summary of the invention

[0004] The present disclosure provides a cargo tracking method, apparatus, device and storage medium.

[0005] According to a first aspect of the present disclosure, a cargo tracking method is provided. The method comprises:

[0006] Associating the identity of the goods with the identity of the carrier that carries the goods;

[0007] According to the identification of the carrier, the location information of the carrier and the time information corresponding to the location information are obtained from the positioning system;

[0008] Based on the time information and the video shooting equipment associated with the location information on the road and / or building, the video information of the carrier is obtained; wherein,

[0009] The identification of goods, carriers and video recording equipment is generated and parsed using unified naming rules in the positioning system, highway big data system, geographic information system and building information management system.

[0010] In some implementations of the first aspect, acquiring video information of a carrier based on time information and a video shooting device associated with location information on a road and / or a building includes:

[0011] According to the time information and the position information, the running trajectory of the carrier is determined based on a preset trajectory algorithm;

[0012] Based on the video shooting equipment on the road and / or building associated with the running track, the video information of the carrier is obtained.

[0013] In some implementations of the first aspect, the running trajectory includes a current location and a future location; and obtaining video information of the carrier based on a video shooting device associated with the running trajectory on a road and / or a building includes:

[0014] Acquiring video information of the carrier based on a first video shooting device associated with the current location on the road and / or building;

[0015] A communication connection is established with a second video capture device on a road and / or a building associated with the future location, and video information captured by the second video capture device is acquired.

[0016] In some implementations of the first aspect, acquiring video information of a carrier based on time information and a video shooting device associated with location information on a road and / or a building further includes:

[0017] Determine the risk value of the cargo associated with the carrier based on a preset risk determination algorithm according to the location information and time information of the carrier;

[0018] When the risk value is greater than a preset first warning threshold, video information of the carrier is acquired based on a video shooting device associated with the location information on the road and / or building.

[0019] In some implementations of the first aspect, the method further includes:

[0020] Identify the corresponding risk value in the video information captured by the second video capture device through a preset risk recognition algorithm;

[0021] When the risk value is greater than a preset second warning threshold, road warning information is sent to the carrier based on the video information captured by the second video capture device.

[0022] In some implementations of the first aspect, the method further includes:

[0023] Receive weather information sent by the weather system for future locations;

[0024] When the meteorological information meets the preset warning conditions, weather warning information is sent to the carrier based on the meteorological information.

[0025] In some implementations of the first aspect, the method further includes:

[0026] Obtain the unique identifier of the carrier. The unique identifier is generated and parsed using a unified naming rule in the positioning system, highway big data system, geographic information system, and building information management system;

[0027] According to the unique identifier, the location information of the carrier is determined from the highway big data system.

[0028] According to a second aspect of the present disclosure, there is provided a cargo tracking device, the device comprising:

[0029] An identification association module, used to associate the identification of the goods with the identification of the carrier carrying the goods;

[0030] A location information acquisition module, used to acquire the location information of the carrier and the time information corresponding to the location information from the positioning system according to the identification of the carrier;

[0031] The video information acquisition module acquires the video information of the carrier based on the time information and the video shooting equipment associated with the location information on the road and / or building; wherein,

[0032] The identification of goods, carriers and video recording equipment is generated and parsed using unified naming rules in the positioning system, highway big data system, geographic information system and building information management system.

[0033] According to a third aspect of the present disclosure, an electronic device is provided, comprising: a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, the cargo tracking method in the first aspect and some implementations of the first aspect is implemented.

[0034] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the cargo tracking method as described in the first aspect and some implementations of the first aspect is implemented.

[0035] The cargo tracking method, device, equipment and storage medium provided by the present disclosure are because in the present disclosure, the identification of the cargo, the identification of the carrier and the identification of the video shooting device are generated and parsed using a unified naming rule in each system, that is, the identification of an object is unified in each system, and there is no situation where the identification of an object is different in different systems. Therefore, the acquisition and parsing efficiency of the data corresponding to each identification is higher, and data interruption is not prone to occur. Subsequently, the cargo is monitored based on the data corresponding to the unified identification, and the data acquisition efficiency is higher, which can improve the monitoring efficiency of the cargo.

[0036] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0038] Figure 1 A schematic diagram showing a flow chart of a cargo tracking method according to an embodiment of the present disclosure is shown;

[0039] Figure 2 A structural block diagram of a cargo tracking device according to an embodiment of the present disclosure is shown;

[0040] Figure 3 A structural block diagram of an exemplary electronic device capable of implementing the embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0042] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0043] In the current cargo logistics operation cycle, the cargo transport vehicles are mainly monitored. However, the various data in the entire logistics process are usually scattered and fragmented. Other information is prone to data interruption and low monitoring efficiency due to the complex data sources and the lack of an effective collection and analysis mechanism.

[0044] In order to solve the problem of low monitoring efficiency caused by data interruption in the existing solution, the present disclosure provides a cargo tracking method, device, equipment and storage medium, firstly associate the identification of the cargo with the identification of the carrier carrying the cargo; then, according to the identification of the carrier, obtain the location information of the carrier and the time information corresponding to the location information from the positioning system; then, based on the time information and the video shooting equipment associated with the location information on the road and / or building, obtain the video information of the carrier; wherein, the identification of the cargo, the identification of the carrier and the identification of the video shooting equipment are generated and parsed using a unified naming rule in the positioning system, the highway big data system, the geographic information system and the building information management system. Because in the present disclosure, the identification of the cargo, the identification of the carrier and the identification of the video shooting equipment are generated and parsed using a unified naming rule in each system, that is, the identification of an object is unified in each system, and there is no situation where the identification of an object is different in different systems, so the acquisition and parsing efficiency of the data corresponding to each identification is higher, and the data interruption is not easy to occur, and then the cargo is monitored based on the data corresponding to the unified identification, and the data acquisition efficiency is higher, which can improve the monitoring efficiency of the cargo.

[0045] The technical solution provided by the embodiments of the present disclosure is described below in conjunction with the accompanying drawings.

[0046] Figure 1 It is a flow chart of a cargo tracking method provided by an embodiment of the present disclosure. The execution subject of the method may be a terminal device or other server with computing and processing capabilities.

[0047] like Figure 1 As shown, the cargo tracking method may specifically include:

[0048] S101: Associating the identification of the goods with the identification of the carrier that carries the goods.

[0049] The goods may be, for example, logistic goods, inflammable and explosive dangerous chemicals such as sulfuric acid and gasoline, or artificially designated target goods, which are not limited here. The identification of the goods may be a name or code recorded by Radio Frequency Identification (RFID) technology.

[0050] The identification of the goods is associated with the identification of the carrier carrying the goods because the goods cannot directly generate their own location information and time information. Therefore, the identification of the goods is associated with the identification of the carrier carrying the goods, and then the location information and time information of the carrier carrying the goods can be used as the location information and time information of the goods, that is, execute S102.

[0051] S102: Acquire the position information of the carrier and the time information corresponding to the position information from the positioning system according to the identification of the carrier.

[0052] The positioning system may include a Beidou positioning system or a GPS navigation positioning system, which is not limited here.

[0053] S103: Based on the time information and the video shooting equipment associated with the location information on the road and / or building, obtain the video information of the carrier; wherein,

[0054] The identification of goods, carriers and video recording equipment is generated and parsed using a unified naming rule in the positioning system, highway big data system, geographic information system (GIS) and building information management system.

[0055] The roads in S103 may include expressways, national roads, provincial roads, etc., and the buildings may include tunnels, bridges, etc.

[0056] In this process, the identification of the goods, the identification of the carrier, and the identification of the video shooting device are generated and parsed in each system using a unified naming rule because different systems have different naming rules, which will cause each system to use different identifications when acquiring data of the same target, and then cause the data of the same object in different systems to be converted and unified, which increases the processing burden, is not convenient for unified management of the data of the same target stored in each system, and is prone to data loss. In the present disclosure, the identifications of the data acquisition objects are unified in each system, and there is no situation where the identification of an object is different in different systems, so the acquisition and parsing efficiency of the data corresponding to each identification is higher, and data interruption is not likely to occur, achieving a unified data structure, avoiding data confusion and unusability, and avoiding the emergence of a new chimney-type system. After that, the goods are monitored based on the data corresponding to the unified identification, and the data acquisition efficiency is higher, which can improve the monitoring efficiency.

[0057] In one embodiment, during the process of monitoring the cargo, the running track of the carrier can be determined based on the time information and location information and a preset track algorithm; then, the video information of the carrier can be obtained based on the video shooting equipment associated with the running track on the road and / or building. In this way, the video information of the carrier carrying the cargo at any position can be obtained according to the running track of the carrier, thereby realizing cargo monitoring.

[0058] In one embodiment, the running trajectory may include the current location, the historical location and the future location. That is to say, in the process of determining the running trajectory of the carrier based on a preset trajectory algorithm according to time information and location information, the running trajectory of the carrier can be predicted.

[0059] It should be further explained that the operation trajectory can represent the trajectory of goods in various links such as transportation, warehousing, handling, packaging, circulation processing and distribution. Therefore, the video information of the carrier obtained based on the operation trajectory can realize the monitoring of the entire process of goods.

[0060] Because the running trajectory can include the current position, future position and historical position, when obtaining video information of the carrier carrying goods, video information of the carrier's current position can be obtained, video information of the carrier's future position can be obtained, and video information of the carrier's historical position can also be obtained, so as to realize full-time monitoring of the carrier carrying goods.

[0061] Specifically, when obtaining video information of the current location of the carrier, the video information of the carrier can be obtained based on the first video shooting device associated with the current location on the road and / or building, so as to obtain the video information of the current location of the carrier and perform real-time monitoring of the carrier carrying the goods.

[0062] When obtaining video information of the future location of the carrier, a communication connection can be established with a second video shooting device on the road and / or building associated with the future location to obtain video information shot by the second video shooting device, thereby obtaining video information of the future location of the carrier and monitoring the environment that the carrier will pass through in the future, so as to provide early warning to the carrier carrying the goods.

[0063] In addition, in one embodiment, the state of the carrier can be determined directly based on the position information and time information of the carrier, for example, abnormal situations such as speeding, rapid speed reduction, and long parking time can be identified. Specifically, the risk value of the goods associated with the carrier can be determined based on a preset risk determination algorithm according to the position information and time information of the carrier. The risk value can represent the risk of the goods caused by abnormal situations such as speeding, rapid speed reduction, and long parking time; when the risk value is greater than a preset first warning threshold, the video information of the carrier is obtained based on a video shooting device associated with the position information on the road and / or building. In other words, the video information of the carrier carrying the goods can be obtained only when it is determined that the goods are at risk, thereby saving computing resources while realizing monitoring of the goods.

[0064] In one embodiment, after obtaining video information of the future location of the carrier, because the video information can represent video information of the area that the carrier will pass through within a period of time, the video can be used to identify risks, so as to provide early warning to the carrier carrying the goods. Specifically, a preset risk identification algorithm can be used to identify the corresponding risk value in the video information captured by the second video capture device; when the risk value is greater than a preset second warning threshold, road warning information is sent to the carrier based on the video information captured by the second video capture device, so as to provide early warning to the carrier carrying the goods and prevent risks before they occur.

[0065] In addition, in one embodiment, it is also possible to connect with the meteorological system to issue a weather warning in advance for the future location of the carrier carrying the goods, so as to ensure the safe operation of the carrier carrying the goods. Specifically, it is possible to receive meteorological information sent by the meteorological system for the future location; when the meteorological information meets the preset warning conditions, weather warning information is sent to the carrier based on the meteorological information, so as to implement a weather warning for the future location of the carrier carrying the goods in advance to ensure safe operation.

[0066] In one embodiment, a unique identifier of the carrier can also be obtained. The unique identifier can be a license plate identifier of the carrier. The unique identifier is generated and parsed using a unified naming rule in the positioning system, highway big data system, geographic information system and building information management system; based on the unique identifier, the location information of the carrier carrying the goods is determined from the highway big data system, so that the unique identifier can be identified and tracked by the monitoring function in the highway big data system without using a positioning system, thereby determining the location information of the carrier carrying the goods.

[0067] In the cargo tracking method provided by the present invention, because the identification of the cargo, the identification of the carrier and the identification of the video shooting device are generated and parsed using a unified naming rule in each system, the identification of an object is unified in each system, and there is no situation where the identification of an object is different in different systems. Therefore, the acquisition and analysis efficiency of the data corresponding to each identification is higher, and data interruption is not prone to occur. Subsequently, monitoring of the cargo based on the data corresponding to the unified identification can achieve the effect of one-code monitoring to the end, thereby improving the monitoring efficiency.

[0068] In addition, the present invention also starts from each link of personnel management, warehousing, transportation, and monitoring, and combines RFID technology to track the trajectory and monitor the safety status of flammable and explosive goods throughout the entire logistics operation cycle around the clock through cargo detection, communication, positioning, alarm, etc., thereby achieving full network visibility of highways, measurable bridges and tunnels in key sections, and controllable emergency management.

[0069] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present disclosure is not limited by the order of the actions described, because according to the present disclosure, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present disclosure.

[0070] and Figure 1 Corresponding to the cargo tracking method shown, the present disclosure also provides a cargo tracking device.

[0071] Figure 2 A schematic diagram of the structure of a cargo tracking device is shown. Figure 2 As shown, the cargo tracking device may include an identification association module 201 , a location information acquisition module 202 , and a video information acquisition module 203 .

[0072] The identification association module 201 may be used to associate the identification of the goods with the identification of the carrier carrying the goods;

[0073] The location information acquisition module 202 may be used to acquire the location information of the carrier and the time information corresponding to the location information from the positioning system according to the identification of the carrier;

[0074] The video information acquisition module 203 can acquire the video information of the carrier based on the time information and the video shooting equipment associated with the location information on the road and / or building; wherein,

[0075] The identification of goods, carriers and video recording equipment is generated and parsed using unified naming rules in the positioning system, highway big data system, geographic information system and building information management system.

[0076] In one embodiment, the video information acquisition module can also be used to determine the operation trajectory of the carrier based on a preset trajectory algorithm according to time information and location information; and to acquire video information of the carrier based on video shooting equipment associated with the operation trajectory on roads and / or buildings.

[0077] In one embodiment, the running trajectory includes the current position and the future position. The video information acquisition module can also be used to obtain the video information of the carrier based on a first video shooting device on the road and / or building associated with the current position; and to establish a communication connection with a second video shooting device on the road and / or building associated with the future position to obtain video information shot by the second video shooting device.

[0078] In one embodiment, the video information acquisition module can also be used to determine the risk value of the goods associated with the carrier based on a preset risk determination algorithm according to the location information and time information of the carrier; and when the risk value is greater than a preset first warning threshold, the video information of the carrier is acquired based on the video shooting equipment associated with the location information on the road and / or building.

[0079] In one embodiment, the cargo tracking device may further include a road warning module, which may be used to identify the corresponding risk value in the video information captured by the second video capture device through a preset risk identification algorithm; and when the risk value is greater than a preset second warning threshold, send road warning information to the carrier based on the video information captured by the second video capture device.

[0080] In one embodiment, the cargo tracking device may further include a weather warning module, which may be used to receive weather information sent by a weather system for the future location; when the weather information meets a preset warning condition, weather warning information is sent to the carrier according to the weather information.

[0081] In one embodiment, the location information acquisition module 202 can also be used to obtain the unique identifier of the carrier. The unique identifier is generated and parsed using a unified naming rule in the positioning system, highway big data system, geographic information system and building information management system; and based on the unique identifier, the location information of the carrier is determined from the highway big data system.

[0082] In the cargo tracking device provided by the present invention, since the identification of the cargo, the identification of the carrier and the identification of the video shooting device are generated and parsed using a unified naming rule in each system, the identification of an object is unified in each system, and there is no situation where the identification of an object is different in different systems. Therefore, the acquisition and analysis efficiency of the data corresponding to each identification is higher, and data interruption is not prone to occur. Subsequently, the monitoring of the cargo based on the data corresponding to the unified identification can achieve the effect of one-code monitoring to the end, thereby improving the monitoring efficiency.

[0083] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0084] Understandably, Figure 2 Each module in the cargo tracking device shown has the function of realizing Figure 1 The functions of each step in the process can achieve the corresponding technical effects, which will not be described in detail here for the sake of brevity.

[0085] In the technical solution disclosed herein, the acquisition, storage and application of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0086] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0087] Figure 3 A schematic block diagram of an electronic device 300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0088] The device 300 includes a computing unit 301, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 302 or a computer program loaded from a storage unit 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the device 300 can also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0089] A number of components in the device 300 are connected to the I / O interface 305, including: an input unit 306, such as a keyboard, a mouse, etc.; an output unit 307, such as various types of displays, speakers, etc.; a storage unit 308, such as a disk, an optical disk, etc.; and a communication unit 309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0090] The computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 301 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 301 performs the various methods and processes described above, such as Figure 1 In the cargo tracking method. For example, in some embodiments, Figure 1 The cargo tracking method in the embodiment of the present invention can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed on the device 300 via the ROM 302 and / or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the cargo tracking method described above can be performed. Alternatively, in other embodiments, the computing unit 301 can be configured to perform the above-described cargo tracking method in any other suitable manner (for example, by means of firmware). Figure 1 Cargo tracking method in.

[0091] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0092] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0093] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0094] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0095] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0096] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0097] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0098] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A cargo tracking method, characterized in that: The method comprises: Associating the identity of the goods with the identity of the carrier carrying the goods; According to the identification of the carrier, acquiring the location information of the carrier and the time information corresponding to the location information from the positioning system; Based on the time information and the video shooting equipment on the road and / or building associated with the location information, the video information of the carrier is obtained; wherein, The identification of the goods, the identification of the carrier and the identification of the video shooting device are generated and parsed using a unified naming rule in the positioning system, the highway big data system, the geographic information system and the building information management system; The roads include expressways, national roads, and provincial roads, and the buildings include tunnels and bridges; The acquiring the video information of the carrier based on the time information and a video shooting device on the road and / or building associated with the location information includes: According to the time information and the position information, the running track of the carrier is determined based on a preset track algorithm; the running track includes the current position and the future position; Acquiring video information of the carrier based on a first video shooting device on a road and / or a building associated with the current location; Establishing a communication connection with a second video capture device on a road and / or a building associated with the future location, and acquiring video information captured by the second video capture device; The method further comprises: Obtaining a unique identifier of the carrier, wherein the unique identifier is generated and parsed using a unified naming rule in a positioning system, a highway big data system, a geographic information system, and a building information management system; Determine the location information of the carrier from the highway big data system according to the unique identifier; The method further comprises: Identify the risk value corresponding to the video information captured by the second video capturing device by using a preset risk recognition algorithm; When the risk value is greater than a preset second warning threshold, road warning information is sent to the carrier according to the video information captured by the second video capture device.

2. The method according to claim 1, characterized in that The acquiring the video information of the carrier based on the time information and the video shooting equipment on the road and / or building associated with the position information further includes: Determine the risk value of the cargo associated with the carrier based on a preset risk determination algorithm according to the location information and time information of the carrier; When the risk value is greater than a preset first warning threshold, video information of the carrier is acquired based on a video shooting device on a road and / or a building associated with the location information.

3. The method according to claim 1, characterized in that The method further comprises: Receiving weather information sent by a weather system for the future location; When the meteorological information meets the preset warning condition, weather warning information is sent to the carrier according to the meteorological information.

4. A cargo tracking device, characterized in that: The device comprises: An identification association module, used to associate the identification of the goods with the identification of the carrier carrying the goods; A location information acquisition module, used to acquire the location information of the carrier and time information corresponding to the location information from a positioning system according to the identification of the carrier; A video information acquisition module acquires video information of the carrier based on the time information and a video shooting device on a road and / or building associated with the location information; wherein, The identification of the goods, the identification of the carrier and the identification of the video shooting device are generated and parsed using a unified naming rule in the positioning system, the highway big data system, the geographic information system and the building information management system; The roads include expressways, national roads, and provincial roads, and the buildings include tunnels and bridges; The video information acquisition module is specifically used for: According to the time information and the position information, the running track of the carrier is determined based on a preset track algorithm; the running track includes the current position and the future position; Acquiring video information of the carrier based on a first video shooting device on a road and / or a building associated with the current location; Establishing a communication connection with a second video capture device on a road and / or a building associated with the future location, and acquiring video information captured by the second video capture device; The device also includes: An acquisition module, used for acquiring a unique identifier of the carrier, wherein the unique identifier is generated and parsed using a unified naming rule in a positioning system, a highway big data system, a geographic information system, and a building information management system; A determination module, used to determine the location information of the carrier from the highway big data system according to the unique identifier; The device also includes: A road warning module, used to identify the corresponding risk value in the video information captured by the second video capture device through a preset risk recognition algorithm; When the risk value is greater than a preset second warning threshold, road warning information is sent to the carrier according to the video information captured by the second video capture device.

5. An electronic device, comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 3.

6. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1-3.

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