CN112668971A - Transportation early warning information processing method and device - Google Patents
Transportation early warning information processing method and device Download PDFInfo
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- CN112668971A CN112668971A CN202011623380.6A CN202011623380A CN112668971A CN 112668971 A CN112668971 A CN 112668971A CN 202011623380 A CN202011623380 A CN 202011623380A CN 112668971 A CN112668971 A CN 112668971A
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Abstract
The invention relates to a method and a device for processing transportation early warning information, wherein the method comprises the following steps: acquiring vehicle condition information and road condition information of a transport vehicle in real time; when the vehicle condition information and/or the road condition information are abnormal, generating early warning information; and analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result. The invention provides a method and a device for processing transported early warning information, which are used for monitoring vehicle condition information and road condition information of a transport vehicle in a transportation process in real time, and automatically generating and adjusting early warning information when abnormality occurs so as to ensure the safety and timeliness of logistics transportation.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method and a device for processing transportation early warning information.
Background
The statistical data of the Chinese logistics and purchasing union show that in 2018, the total logistics cost of China's society reaches 13.3 trillion yuan, which is increased by 9.8% compared with 2017, and the first three industries with higher logistics utilization rate and the occupation ratios thereof are 17.2% of cement, 13.1% of coal and 11.3% of chemical industry respectively, wherein the logistics utilization rate is equal to the ratio of the logistics cost to the sales cost, a logistics supply chain occupies an important position in the petrochemical industry, and a well-managed supply chain is favorable for improving profits, slowly releasing risks and acquiring competitive advantages. The realization of end-to-end supply chain optimization is a great source for obtaining benefits by utilizing an optimization technology, and is beneficial to realizing data-driven business optimization decision, so that cost advantage and business opportunity are obtained on the whole supply chain.
The logistics transportation time of energy enterprises is usually longer, and during the transportation process, transport vehicles and transportation routes inevitably have various faults, which affect the safety and timeliness of logistics transportation. Therefore, a transportation warning information processing method capable of changing the situation is urgently needed.
Disclosure of Invention
The invention aims to provide a transportation early warning information processing method and a transportation early warning information processing device aiming at the defects of the prior art, which are used for monitoring vehicle condition information and road condition information of a transportation vehicle in a transportation process in real time, and when abnormity occurs, the early warning information is automatically generated and adjusted so as to ensure the safety and timeliness of logistics transportation.
In order to achieve the above object, a first aspect of the embodiments of the present invention provides a method for processing transportation warning information, where the method includes:
acquiring vehicle condition information and road condition information of a transport vehicle in real time;
when the vehicle condition information and/or the road condition information are abnormal, generating early warning information;
and analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result.
Preferably, the vehicle condition information includes a transport vehicle ID, a device ID, and device status information; the traffic information includes a transport vehicle ID and traffic data.
Preferably, the warning information includes ID of the transportation vehicle, vehicle condition warning information and/or road condition warning information.
Preferably, the control instruction includes a transport vehicle ID, a device ID, and control instruction data.
A second aspect of the embodiments of the present invention provides a transportation warning information processing apparatus, including:
the processing module is used for acquiring vehicle condition information and road condition information of the transport vehicle in real time;
when the vehicle condition information and/or the road condition information are abnormal, generating early warning information;
and analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
A fifth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
The transportation early warning information processing method and device provided by the embodiment of the invention are used for monitoring the vehicle condition information and the road condition information of a transportation vehicle in the transportation process in real time, and when abnormality occurs, the early warning information is automatically generated and adjusted so as to ensure the safety and timeliness of logistics transportation.
Drawings
Fig. 1 is a flowchart of a transportation warning information processing method according to an embodiment of the present invention;
fig. 2 is a block diagram of a transportation warning information processing apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The transportation early warning information processing method and the transportation early warning information processing device are used for monitoring vehicle condition information and road condition information of a transportation vehicle in the transportation process in real time, and when abnormality occurs, early warning information is automatically generated and adjusted to ensure the safety and timeliness of logistics transportation.
Fig. 1 is a flowchart of a transportation warning information processing method according to an embodiment of the present invention, and the following describes a technical solution of the present invention in detail with reference to fig. 1.
specifically, the vehicle condition information may be understood as the condition of the transportation vehicle itself. The road condition information can be understood as the condition of the planned driving route of the transport vehicle.
Before acquiring the vehicle condition information, the vehicle monitoring system of the transport vehicle acquires the equipment state information of each equipment of the transport vehicle in real time, wherein the equipment is all components on the vehicle. The device status information includes normal or abnormal. The vehicle condition information is determined from the device state information of all the devices of the transportation vehicle. Specifically, the vehicle condition state of the vehicle condition information is normal only when the device state information of all the devices of the transportation vehicle is normal. When the state information of any one of the devices is abnormal, the vehicle condition state of the vehicle condition information is abnormal. The vehicle condition information includes a transportation vehicle ID, a device ID, and device status information. The equipment state information comprises normal and abnormal states, the equipment information comprises values which can be represented and cannot be represented, such as the temperature in the vehicle, the pressure of tires and the like, and the equipment state information can be judged to be in the normal or abnormal state by judging whether the equipment state information exceeds a preset safety threshold value; the state value of the data can not be used for displaying, and the data is used for judging whether the data is in a normal or abnormal state, such as opening or closing of a vehicle door.
Before acquiring the road condition information, acquiring the current position information of the transport vehicle and the currently executed transport task information. The transportation task information includes an originating site, a destination site, and a current travel path of the transportation vehicle. And determining road condition information of a first road section in the driving path at a preset distance in front of the current position information of the transport vehicle according to the position information, the preset distance and the driving path. And when the detour is not needed, determining that the road condition state is normal. And when the detour is judged to be needed, determining that the road condition state is abnormal. The traffic information includes a transport vehicle ID and traffic data.
In the embodiment of the present invention, the road condition data may be traffic accident data, road surface collapse data, traffic jam data, and the like in the first road segment.
specifically, the warning information includes the ID of the transportation vehicle, vehicle condition warning information, and/or road condition warning information. The vehicle condition early warning information comprises an equipment ID and corresponding equipment data, wherein the equipment state information of the transport vehicle is abnormal. The traffic condition early warning information comprises abnormal position information and abnormal traffic condition data. And when at least one of the vehicle condition information and the road condition information is abnormal, generating early warning information.
And when the vehicle condition information and the road condition information are abnormal, the transport vehicle continues to run according to the originally set parameters.
And step 130, analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result.
Specifically, the control instruction includes a transport vehicle ID, a device ID, and control instruction data.
And when the early warning information comprises vehicle condition early warning information, judging whether the equipment with abnormal equipment state is the key equipment. The key equipment is equipment with strong safety relevance to the vehicle, such as a power system, a brake, a throttle and the like. When the devices with abnormal device states are not all key devices, such as seats, wipers and the like, the fault level is determined to be a primary fault, a first control instruction used for controlling the devices with the abnormal device state information to be closed is generated, and the first control instruction is sent to the transport vehicle. When any equipment with abnormal equipment state is a key equipment, determining that the fault level is a secondary fault, generating a first control instruction for controlling the equipment with abnormal equipment state information to be closed, searching parking position information closest to the position information according to the position information of the transport vehicle, generating parking path information according to the position information and the parking position information, generating a second control instruction according to the parking path information, and sending the first control instruction and the second control instruction to the transport vehicle. Meanwhile, a maintenance center closest to the parking position information is searched according to the parking position information, and the parking position information and the early warning information are sent to the maintenance center.
And when the early warning information comprises road condition early warning information, judging whether the transport vehicle needs to detour according to the abnormal road condition data. When the transport vehicle does not need to detour, the transport vehicle continues to run according to the original running path. And when the transport vehicle needs to detour, generating a lane change path according to the current position information and the destination station information of the transport vehicle, generating a third control instruction according to the lane change path, and sending the third control instruction to the transport vehicle.
That is, when the vehicle condition information of the transportation vehicle is abnormal and the failure level is determined to be a secondary failure after the analysis, the transportation vehicle stops at a parking position closest to the transportation vehicle according to the control command, and waits for maintenance and rescue. When the road condition information of the road section with the preset distance in front of the transport vehicle is abnormal, the transport vehicle bypasses to ensure the logistics transportation timeliness.
Fig. 2 is a block diagram of a transportation warning information processing apparatus according to a second embodiment of the present invention, where the apparatus may be the transportation warning information processing device described in the foregoing embodiment, or may be an apparatus capable of implementing the method according to the second embodiment of the present application, and for example, the apparatus may be an apparatus in the transportation warning information processing device or a chip system. As shown in fig. 2, the apparatus includes:
the processing module 201 is configured to obtain vehicle condition information and road condition information of a transportation vehicle in real time;
when the vehicle condition information and/or the road condition information are abnormal, generating early warning information;
and analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result.
In one particular implementation provided by the present embodiment, the vehicle condition information includes a transportation vehicle ID, a device ID, and device status information. The traffic information includes a transport vehicle ID and traffic data.
In another specific implementation manner provided by this embodiment, the warning information includes a transportation vehicle ID, vehicle condition warning information, and/or road condition warning information.
In another specific implementation provided by the present embodiment, the control instruction includes a transportation vehicle ID, a device ID, and control instruction data.
The transportation warning information processing apparatus provided in the embodiment of the present invention may execute the method steps in the foregoing method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). DVD), or semiconductor media (e.g., Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device may be the aforementioned pick-up reservation information processing device. As shown in fig. 3, the electronic device 300 may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing method steps performed by the electronic device of embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 34, a system bus 35, and a communication port 36. The system bus 35 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for operating the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product including a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
The transportation early warning information processing method and the transportation early warning information processing device are used for monitoring vehicle condition information and road condition information of a transportation vehicle in the transportation process in real time, and when abnormality occurs, early warning information is automatically generated and adjusted to ensure the safety and timeliness of logistics transportation.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, it should be understood that the above embodiments are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A transportation early warning information processing method is characterized by comprising the following steps:
acquiring vehicle condition information and road condition information of a transport vehicle in real time;
when the vehicle condition information and/or the road condition information are abnormal, generating early warning information;
and analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result.
2. The transportation warning information processing method of claim 1,
the vehicle condition information includes a transport vehicle ID, a device ID, and device status information; the traffic information includes a transport vehicle ID and traffic data.
3. The transportation warning information processing method according to claim 1, wherein the warning information includes a transportation vehicle ID, vehicle condition warning information, and/or road condition warning information.
4. The transportation warning information processing method according to claim 1, wherein the control instruction includes a transportation vehicle ID, a device ID, and control instruction data.
5. A transportation warning information processing apparatus, comprising:
the processing module is used for acquiring vehicle condition information and road condition information of the transport vehicle in real time;
when the vehicle condition information and/or the road condition information are abnormal, generating early warning information;
and analyzing and processing according to the early warning information, and generating a control instruction according to an analysis result.
6. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of claims 1-4;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
7. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any one of claims 1-4.
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| CN202011623380.6A CN112668971A (en) | 2020-12-30 | 2020-12-30 | Transportation early warning information processing method and device |
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| CN202011623380.6A CN112668971A (en) | 2020-12-30 | 2020-12-30 | Transportation early warning information processing method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113095763A (en) * | 2021-04-28 | 2021-07-09 | 中国第一汽车股份有限公司 | Monitoring method, device, system and medium for in-transit commodity vehicle |
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