CN116757455A - Automobile part transaction management method and system based on Internet of things - Google Patents

Automobile part transaction management method and system based on Internet of things Download PDF

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CN116757455A
CN116757455A CN202311048120.4A CN202311048120A CN116757455A CN 116757455 A CN116757455 A CN 116757455A CN 202311048120 A CN202311048120 A CN 202311048120A CN 116757455 A CN116757455 A CN 116757455A
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information
task
transaction
node
accessory
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江永兴
方长根
徐洪
杨上富
刘松
宋越
米海峰
任航
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Shenzhen Casstime Technology Co ltd
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Shenzhen Casstime Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/45Commerce

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Abstract

The application provides a steam distribution transaction management method and system based on the Internet of things. The automobile part transaction management method based on the Internet of things comprises the following steps: the data acquisition layer acquires transaction information, decomposes the transaction information through the data processing layer, determines related accessories and related nodes in the transaction information, generates task information corresponding to each target node based on the accessory information and the node information, and then forwards the task information to the corresponding target node through the routing layer so as to instruct the target node to execute related work according to the task information, thereby realizing standardized management of the steam-fit transaction, improving the efficiency and accuracy of the steam-fit transaction management, and meeting the requirements of people on more convenient, safe and reliable steam-fit transactions.

Description

Automobile part transaction management method and system based on Internet of things
Technical Field
The application relates to the technical field of computers, in particular to a steam distribution transaction management method, a steam distribution transaction management system, a steam distribution transaction management computer readable medium and electronic equipment based on the Internet of things.
Background
In many auto parts trading processes, the corresponding processing mechanism needs to be determined in various ways, and the corresponding processing mechanism is generally realized in a manually determined way, so that the problems of low efficiency and easy error are easily caused. In particular, under the condition that the automobile air distribution information is complex and the data quantity is large, how to effectively determine the working content and the actuating mechanism in time is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides a steam fitting transaction management method, a steam fitting transaction management system, a steam fitting transaction management computer-readable medium and electronic equipment based on the Internet of things, and further solves the problem of low efficiency in steam fitting transaction management at least to a certain extent.
Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application.
According to one aspect of the application, there is provided a steam fitting transaction management method based on the internet of things, comprising:
acquiring transaction information of the automobile accessory through a data acquisition layer;
decomposing the transaction information through a data processing layer, and determining accessory information of related accessories and node information of related nodes in the transaction information;
generating task information based on the accessory information and the node information;
forwarding the task information to a corresponding target node through a routing layer to instruct the target node to execute related work according to the task information;
and acquiring a work receipt fed back by the target node.
In the present application, based on the foregoing scheme, the acquiring, by the data acquisition layer, transaction information of a steam fitting includes: constructing a data acquisition layer by arranging data acquisition nodes; and acquiring transaction information of the automobile accessory through a data acquisition layer, wherein the transaction information comprises accessory identification and use information.
In the present application, based on the foregoing aspect, the decomposing the transaction information by the data processing layer, determining the accessory information of the related accessory and the node information of the related node in the transaction information includes: constructing a data identification decomposition model in a data processing layer in a mode of pattern identification; and decomposing the transaction information through the data identification decomposition model, and determining the accessory information of the related accessories and the node information of the related nodes in the transaction information.
In the present application, based on the foregoing aspect, the generating task information based on the accessory information and the node information includes: generating a receiving address of data based on the node information; and encoding the receiving address, the accessory information and the node information to generate task information.
In the present application, based on the foregoing solution, the forwarding, by the routing layer, the task information to the corresponding target node includes: analyzing the task information through a routing layer to obtain a receiving address corresponding to the task information; and forwarding the task information to a corresponding target node based on the receiving address.
In the present application, based on the foregoing solution, after the obtaining the work receipt fed back by the target node, the method further includes: analyzing the work receipt fed back by the target node to obtain receipt data; comparing the receipt data with the task information to determine task completion parameters; and updating the working attribute of the target node based on the task completion parameter.
In the present application, based on the foregoing scheme, the comparing the receipt data with the task information, determining a task completion parameter includes: and comparing the task completion amount in the receipt data and the working time for completing the task with the task amount in the task information and the expected working time to determine the task completion parameters.
According to one aspect of the present application, there is provided a car matching transaction management system based on the internet of things, including:
the acquisition unit is used for acquiring transaction information of the automobile accessory through the data acquisition layer;
the decomposition unit is used for decomposing the transaction information through the data processing layer and determining accessory information of related accessories and node information of related nodes in the transaction information;
a task unit configured to generate task information based on the accessory information and the node information;
the routing unit is used for forwarding the task information to a corresponding target node through a routing layer so as to instruct the target node to execute related work according to the task information;
and the receipt unit is used for acquiring the work receipt fed back by the target node.
In the present application, based on the foregoing scheme, the acquiring, by the data acquisition layer, transaction information of a steam fitting includes: constructing a data acquisition layer by arranging data acquisition nodes; and acquiring transaction information of the automobile accessory through a data acquisition layer, wherein the transaction information comprises accessory identification and use information.
In the present application, based on the foregoing aspect, the decomposing the transaction information by the data processing layer, determining the accessory information of the related accessory and the node information of the related node in the transaction information includes: constructing a data identification decomposition model in a data processing layer in a mode of pattern identification; and decomposing the transaction information through the data identification decomposition model, and determining the accessory information of the related accessories and the node information of the related nodes in the transaction information.
In the present application, based on the foregoing aspect, the generating task information based on the accessory information and the node information includes: generating a receiving address of data based on the node information; and encoding the receiving address, the accessory information and the node information to generate task information.
In the present application, based on the foregoing solution, the forwarding, by the routing layer, the task information to the corresponding target node includes: analyzing the task information through a routing layer to obtain a receiving address corresponding to the task information; and forwarding the task information to a corresponding target node based on the receiving address.
In the present application, based on the foregoing solution, after the obtaining the work receipt fed back by the target node, the method further includes: analyzing the work receipt fed back by the target node to obtain receipt data; comparing the receipt data with the task information to determine task completion parameters; and updating the working attribute of the target node based on the task completion parameter.
In the present application, based on the foregoing scheme, the comparing the receipt data with the task information, determining a task completion parameter includes: and comparing the task completion amount in the receipt data and the working time for completing the task with the task amount in the task information and the expected working time to determine the task completion parameters.
According to an aspect of the present application, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a steam distribution transaction management method based on the internet of things as described in the above embodiments.
According to an aspect of the present application, there is provided an electronic apparatus including: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the steam distribution transaction management method based on the Internet of things.
According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the air-brake transaction management method based on the internet of things provided in the above various alternative implementations.
According to the technical scheme, the data acquisition layer acquires transaction information, the transaction information is decomposed through the data processing layer, relevant accessories and relevant nodes in the transaction information are determined, task information corresponding to each target node is generated based on the accessory information and the node information, then the task information is forwarded to the corresponding target node through the routing layer, so that the target node is instructed to execute relevant work according to the task information, standardized management of the automobile part transaction is achieved, efficiency and accuracy of automobile part transaction management are improved, and requirements of people on more convenient, safe and reliable automobile part transaction are met.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 schematically shows a flow chart of a method for managing a steam-fit transaction based on the internet of things according to one embodiment of the application.
Fig. 2 schematically shows a flow chart of collecting transaction information according to an embodiment of the application.
Fig. 3 schematically shows a schematic diagram of a car-to-car transaction management system based on the internet of things according to an embodiment of the application.
Fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, systems, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The implementation details of the technical scheme of the embodiment of the application are described in detail below:
fig. 1 shows a flowchart of a steam-fit transaction management method based on the internet of things according to one embodiment of the application. Referring to fig. 1, the method for managing a steam-fit transaction based on the internet of things at least includes steps S110 to S150, and is described in detail as follows:
in step S110, transaction information of the steam fitting is acquired through the data acquisition layer.
In this embodiment, a data acquisition layer is preset to obtain transaction information of the automobile part through the data acquisition layer.
In one embodiment of the present application, as shown in fig. 2, acquiring transaction information of a car kit through a data acquisition layer includes:
s210, constructing a data acquisition layer by arranging data acquisition nodes;
s220, acquiring transaction information of the automobile accessory through a data acquisition layer, wherein the transaction information comprises accessory identification and use information.
In this embodiment, data acquisition nodes are arranged in the system in advance to acquire various transaction data, so as to form a data acquisition layer, and transaction information in the steam distribution process is acquired through the data acquisition layer.
The transaction information in this embodiment may include identification and usage information for the accessory. The usage information may include a usage time, a location, a usage manner, and the like.
In step S120, the transaction information is decomposed by a data processing layer, and the fitting information of the related fitting and the node information of the related node in the transaction information are determined.
In one embodiment of the application, a data recognition decomposition model is built on a data processing layer in a mode recognition mode; and decomposing the transaction information through the data identification decomposition model, and determining the accessory information of the related accessories and the node information of the related nodes in the transaction information.
In one embodiment of the application, a data decomposition model is built at the data processing layer by means of pattern recognition for recognizing and decomposing the fitting information and the node information in the transaction information.
In one embodiment of the present application, the data recognition decomposition model includes a text matching function, and related information, such as accessory information and node information, is determined by recognizing and matching various characters in the transaction information.
Specifically, at least two target fields are presetSuch as accessory fields, node fields, etc.; the trade field in the trade information is +.>Calculating the related parameters between the target field and the transaction field one by one>The method comprises the following steps:
wherein,,character identification in the representation field +_>Representing the number of characters in a field, +.>Representing a preset transaction factor. The process selects the character segment corresponding to the maximum relevant parameter through calculating the relevant parameter between the target field and the transaction field, and further determines the information matched with the target field in the transaction information, so as to obtain the accessory information and the node information in the transaction information.
In step S130, task information is generated based on the accessory information and the node information.
In one embodiment of the present application, after the accessory information and the node information are acquired, task information is generated based on the accessory information and the node information.
In one embodiment of the application, generating task information based on the accessory information and the node information includes:
generating a receiving address of data based on the node information;
and encoding the receiving address, the accessory information and the node information to generate task information.
In the process, the node information comprises the information of node identification, position and the like, and the related information is forwarded to the node based on the receiving address by generating the receiving address of the data based on the node information. After the receiving address is generated, character encoding is carried out on the receiving address, the accessory information and the node information, and task information is generated so as to ensure the integrity and the reliability of data transmission.
In step S140, the task information is forwarded to a corresponding target node through a routing layer, so as to instruct the target node to execute related work according to the task information.
In one embodiment of the application, the task information is analyzed through a routing layer to obtain a receiving address corresponding to the task information; and forwarding the task information to a corresponding target node based on the receiving address.
In one embodiment of the present application, the routing layer performs character analysis on the task information to obtain relevant information such as a receiving address corresponding to the task information, and then forwards the task information to a corresponding target node based on the receiving address, so as to realize analysis and transmission of data.
In step S150, a work receipt fed back by the target node is acquired.
In one embodiment of the present application, after sending the task information to the target node for execution, the method further includes:
analyzing the work receipt fed back by the target node to obtain receipt data;
comparing the receipt data with the task information to determine task completion parameters;
and updating the working attribute of the target node based on the task completion parameter.
In one embodiment of the present application, after a work receipt fed back by a target node is obtained, the work receipt is parsed to obtain receipt data, where the receipt data may include information such as a task completion amount, a completion progress, and a working time for completing the task. And comparing the receipt data with the task information, determining task completion parameters, performing new work evaluation on the target node through the task completion parameters, and updating the work attribute of the target node.
In this embodiment, comparing the receipt data with the task information to determine a task completion parameter includes: and comparing the task completion amount in the receipt data and the working time for completing the task with the task amount in the task information and the expected working time to determine the task completion parameters.
In one embodiment of the application, by determining the completion of the task based on the response piece dataThe working time for completing the task +.>Task amount +.>And predicted working time length->Comparing, determining task completion parameter +.>The method comprises the following steps:
wherein,,and->Representing the task factor and the time factor, respectively. In this embodiment, the task amount and the working time are combined to determine the task completion parameter of the target node, so that the task is completedThe working condition of the target node is measured by the parameters, the comprehensiveness and objectivity of target node evaluation are improved, and further the reliability and the working efficiency of the steam-fit transaction work are guaranteed.
According to the technical scheme, the data acquisition layer acquires transaction information, the transaction information is decomposed through the data processing layer, relevant accessories and relevant nodes in the transaction information are determined, task information corresponding to each target node is generated based on the accessory information and the node information, then the task information is forwarded to the corresponding target node through the routing layer, so that the target node is instructed to execute relevant work according to the task information, standardized management of the automobile part transaction is achieved, efficiency and accuracy of automobile part transaction management are improved, and requirements of people on more convenient, safe and reliable automobile part transaction are met.
The following describes an embodiment of the device of the present application, which may be used to execute the steam-distribution transaction management method based on the internet of things in the above embodiment of the present application. It will be appreciated that the apparatus may be a computer program (including program code) running in a computer device, for example the apparatus being an application software; the device can be used for executing corresponding steps in the method provided by the embodiment of the application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method for managing a steam-fit transaction based on the internet of things.
Fig. 3 shows a block diagram of a car-match transaction management system based on the internet of things according to an embodiment of the application.
Referring to fig. 3, a car matching transaction management system based on the internet of things according to an embodiment of the present application includes:
an acquiring unit 310, configured to acquire transaction information of the automobile part through the data acquisition layer;
a decomposition unit 320, configured to decompose the transaction information through a data processing layer, and determine accessory information of related accessories and node information of related nodes in the transaction information;
a task unit 330 for generating task information based on the accessory information and the node information;
a routing unit 340, configured to forward, through a routing layer, the task information to a corresponding target node, so as to instruct the target node to perform a related task according to the task information;
and the receipt unit 350 is configured to obtain a work receipt fed back by the target node.
In the present application, based on the foregoing scheme, the acquiring, by the data acquisition layer, transaction information of a steam fitting includes: constructing a data acquisition layer by arranging data acquisition nodes; and acquiring transaction information of the automobile accessory through a data acquisition layer, wherein the transaction information comprises accessory identification and use information.
In the present application, based on the foregoing aspect, the decomposing the transaction information by the data processing layer, determining the accessory information of the related accessory and the node information of the related node in the transaction information includes: constructing a data identification decomposition model in a data processing layer in a mode of pattern identification; and decomposing the transaction information through the data identification decomposition model, and determining the accessory information of the related accessories and the node information of the related nodes in the transaction information.
In the present application, based on the foregoing aspect, the generating task information based on the accessory information and the node information includes: generating a receiving address of data based on the node information; and encoding the receiving address, the accessory information and the node information to generate task information.
In the present application, based on the foregoing solution, the forwarding, by the routing layer, the task information to the corresponding target node includes: analyzing the task information through a routing layer to obtain a receiving address corresponding to the task information; and forwarding the task information to a corresponding target node based on the receiving address.
In the present application, based on the foregoing solution, after the obtaining the work receipt fed back by the target node, the method further includes: analyzing the work receipt fed back by the target node to obtain receipt data; comparing the receipt data with the task information to determine task completion parameters; and updating the working attribute of the target node based on the task completion parameter.
In the present application, based on the foregoing scheme, the comparing the receipt data with the task information, determining a task completion parameter includes: and comparing the task completion amount in the receipt data and the working time for completing the task with the task amount in the task information and the expected working time to determine the task completion parameters.
According to the technical scheme, the data acquisition layer acquires transaction information, the transaction information is decomposed through the data processing layer, relevant accessories and relevant nodes in the transaction information are determined, task information corresponding to each target node is generated based on the accessory information and the node information, then the task information is forwarded to the corresponding target node through the routing layer, so that the target node is instructed to execute relevant work according to the task information, standardized management of the automobile part transaction is achieved, efficiency and accuracy of automobile part transaction management are improved, and requirements of people on more convenient, safe and reliable automobile part transaction are met.
Fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
It should be noted that, the computer system 400 of the electronic device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 4, the computer system 400 includes a central processing unit (Central Processing Unit, CPU) 401 that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 402 or a program loaded from a storage section 408 into a random access Memory (Random Access Memory, RAM) 403. In the RAM 403, various programs and data required for the system operation are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An Input/Output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. When executed by a Central Processing Unit (CPU) 401, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read from the computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the methods provided in the various alternative implementations described above.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the methods described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A car matching transaction management method based on the Internet of things is characterized by comprising the following steps:
acquiring transaction information of the automobile accessory through a data acquisition layer;
decomposing the transaction information through a data processing layer, and determining accessory information of related accessories and node information of related nodes in the transaction information;
generating task information based on the accessory information and the node information;
forwarding the task information to a corresponding target node through a routing layer to instruct the target node to execute related work according to the task information;
and acquiring a work receipt fed back by the target node.
2. The method of claim 1, wherein acquiring transaction information for a steam fitting through a data acquisition layer comprises:
constructing a data acquisition layer by arranging data acquisition nodes;
and acquiring transaction information of the automobile accessory through a data acquisition layer, wherein the transaction information comprises accessory identification and use information.
3. The method of claim 1, wherein determining the fitting information of the associated fitting and the node information of the associated node in the transaction information by decomposing the transaction information by a data processing layer comprises:
constructing a data identification decomposition model in a data processing layer in a mode of pattern identification;
and decomposing the transaction information through the data identification decomposition model, and determining the accessory information of the related accessories and the node information of the related nodes in the transaction information.
4. The method of claim 1, wherein generating task information based on the accessory information and the node information comprises:
generating a receiving address of data based on the node information;
and encoding the receiving address, the accessory information and the node information to generate task information.
5. The method of claim 1, wherein forwarding the task information to the corresponding target node through a routing layer comprises:
analyzing the task information through a routing layer to obtain a receiving address corresponding to the task information;
and forwarding the task information to a corresponding target node based on the receiving address.
6. The method of claim 1, further comprising, after obtaining the work response piece fed back by the target node:
analyzing the work receipt fed back by the target node to obtain receipt data;
comparing the receipt data with the task information to determine task completion parameters;
and updating the working attribute of the target node based on the task completion parameter.
7. The method of claim 6, wherein comparing the response piece data to the task information determines a task completion parameter, comprising:
and comparing the task completion amount in the receipt data and the working time for completing the task with the task amount in the task information and the expected working time to determine the task completion parameters.
8. A car matching transaction management system based on the Internet of things is characterized by comprising:
the acquisition unit is used for acquiring transaction information of the automobile accessory through the data acquisition layer;
the decomposition unit is used for decomposing the transaction information through the data processing layer and determining accessory information of related accessories and node information of related nodes in the transaction information;
a task unit configured to generate task information based on the accessory information and the node information;
the routing unit is used for forwarding the task information to a corresponding target node through a routing layer so as to instruct the target node to execute related work according to the task information;
and the receipt unit is used for acquiring the work receipt fed back by the target node.
9. The system of claim 8, wherein the acquisition unit is further configured to:
constructing a data acquisition layer by arranging data acquisition nodes;
and acquiring transaction information of the automobile accessory through a data acquisition layer, wherein the transaction information comprises accessory identification and use information.
10. The system of claim 8, wherein the decomposition unit is further configured to:
constructing a data identification decomposition model in a data processing layer in a mode of pattern identification;
and decomposing the transaction information through the data identification decomposition model, and determining the accessory information of the related accessories and the node information of the related nodes in the transaction information.
CN202311048120.4A 2023-08-21 2023-08-21 Automobile part transaction management method and system based on Internet of things Pending CN116757455A (en)

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Citations (4)

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Publication number Priority date Publication date Assignee Title
CN110659110A (en) * 2018-06-28 2020-01-07 厦门本能管家科技有限公司 Block chain based distributed computing method and system
CN115130695A (en) * 2022-05-16 2022-09-30 开思时代科技(深圳)有限公司 Automobile part management method and system based on big data and electronic equipment
CN115375244A (en) * 2022-09-02 2022-11-22 深圳小狮快送科技有限公司 Fourth-party automobile accessory logistics platform based on big data and management method
CN115619485A (en) * 2022-10-24 2023-01-17 深圳市玄羽科技有限公司 Energy management system and method based on industrial internet platform

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110659110A (en) * 2018-06-28 2020-01-07 厦门本能管家科技有限公司 Block chain based distributed computing method and system
CN115130695A (en) * 2022-05-16 2022-09-30 开思时代科技(深圳)有限公司 Automobile part management method and system based on big data and electronic equipment
CN115375244A (en) * 2022-09-02 2022-11-22 深圳小狮快送科技有限公司 Fourth-party automobile accessory logistics platform based on big data and management method
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