CN114418351A - User demand identification method and service system based on automatic production - Google Patents
User demand identification method and service system based on automatic production Download PDFInfo
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- CN114418351A CN114418351A CN202111660661.3A CN202111660661A CN114418351A CN 114418351 A CN114418351 A CN 114418351A CN 202111660661 A CN202111660661 A CN 202111660661A CN 114418351 A CN114418351 A CN 114418351A
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Abstract
The application provides a user demand identification method and a service system based on automatic production, when in actual implementation, target user identification is carried out on online production business information through intelligent production equipment, the target user demand information is identified, and quantitative indexes of target users matched with each production operation item in the online production business information are obtained, so that a business demand information identification result of the target users in the online production business information is determined, and therefore the business demand information identification result in the online production business information can be accurately identified, and the accuracy and the integrity of identifying the target users are improved.
Description
Technical Field
The application relates to the technical field of automatic production and user demand identification, in particular to a user demand identification method and a service system based on automatic production.
Background
Production automation refers to a production process in which all or part of the processing of a product is accomplished by mechanical equipment, instrumentation, and automation devices without the need for direct human intervention. With the wide application of various robot devices in the production process, how to effectively carry out automatic production according to the requirements of users is crucial.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a user demand identification method and a service system based on automatic production.
The application provides a user demand identification method based on automatic production, which comprises the following steps:
identifying target user demand information covered by the online production service information through intelligent production equipment; determining a quantitative index corresponding to the target user for each production operation item in the online production service information in combination with the target user demand information; and determining that the online production service information comprises a service demand information identification result of the target user by combining the quantitative index.
Optionally, the online production service information comprises unannotated online production service information.
Optionally, the identifying, by the intelligent production device, the target user demand information covered by the online production service information includes:
identifying key business information of the unannotated online production business information through intelligent production equipment; and the step of determining a quantitative index corresponding to the target user for each production operation item in the online production service information by combining the target user demand information comprises the following steps: and determining a quantitative index of each production operation item in the online production service information corresponding to the target user by combining the key service information of the unannotated online production service information.
Optionally, the determining, by combining the quantitative index, that the online production service information includes a service demand information identification result of the target user includes: and determining the service demand information identification result according to the state information of a plurality of production operation items of which the quantitative indexes corresponding to the target users are not less than the set quantitative indexes.
Optionally, the determining, by combining the quantitative index, that the online production service information includes a service demand information identification result of the target user further includes: determining that the online production service information comprises a distinguishing label of the target user in a service demand information identification result of the target user through a service analysis module; and carrying out transformation operation on the distinguishing label of the target user to obtain the state information and/or the dimension information of the target user.
The embodiment of the application also provides a user demand service system, which comprises a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor reads the computer program from the memory and runs the computer program to realize the method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects.
According to the user demand identification method and the service system based on automatic production, target user identification is carried out on online production business information through intelligent production equipment, the target user demand information is identified, and the quantitative index of the target user matched with each production operation item in the online production business information is obtained, so that the business demand information identification result of the target user in the online production business information is determined, and therefore the business demand information identification result in the online production business information can be accurately identified, and the accuracy and the integrity of identifying the target user are improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a user requirement identification method based on automated production according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a hardware structure of a user demand service system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, an embodiment of the present application provides a flowchart of a user requirement identification method based on automated production, which is applied to a user requirement service system, and further, the method may specifically include the following steps 101 to 103.
Step 101, identifying target user demand information covered by online production business information through intelligent production equipment; wherein the online production service information comprises unannotated online production service information.
In some embodiments, the recorded information of the target user requirement covered by the information of the online production service identified by the intelligent production device may specifically include the following contents: identifying key business information of the unannotated online production business information through intelligent production equipment; and the step of determining a quantitative index corresponding to the target user for each production operation item in the online production service information by combining the target user demand information comprises the following steps: and determining a quantitative index of each production operation item in the online production service information corresponding to the target user by combining the key service information of the unannotated online production service information.
And 102, determining a quantitative index corresponding to each production operation item in the online production service information to the target user by combining the demand information of the target user.
And 103, determining that the online production service information comprises a service demand information identification result of the target user by combining the quantitative index.
In some embodiments, the determining, by combining the recorded quantitative index and the online production service information, that the service requirement information identification result of the target user is included in the online production service information may specifically include: and determining the service demand information identification result according to the state information of a plurality of production operation items of which the quantitative indexes corresponding to the target users are not less than the set quantitative indexes.
In some embodiments, the determining, by combining the recorded quantitative index, that the online production service information includes a service requirement information identification result of the target user may specifically include: determining that the online production service information comprises a distinguishing label of the target user in a service demand information identification result of the target user through a service analysis module; and carrying out transformation operation on the distinguishing label of the target user to obtain the state information and/or the dimension information of the target user.
In conclusion, the intelligent production equipment identifies the target users of the online production business information, identifies the target user demand information and obtains the quantitative index of the target users matched with each production operation item in the online production business information, so that the business demand information identification result of the target users in the online production business information is determined, the business demand information identification result in the online production business information can be accurately identified, and the accuracy and the integrity of identifying the target users are improved.
On the basis, please refer to fig. 2 in combination, the present application further provides a schematic diagram of a hardware structure of the user demand service system 20, which specifically includes a memory 21, a processor 22, a network module 23 and an image processing apparatus. The memory 21, the processor 22 and the network module 23 are electrically connected directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 21 stores therein an image processing apparatus including at least one software functional module which may be stored in the memory 21 in the form of software or firmware (firmware), and the processor 22 executes software programs and modules stored in the memory 21.
The Memory 21 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 21 is configured to store a program, and the processor 22 executes the program after receiving the execution instruction.
The processor 22 may be an integrated circuit chip having data processing capabilities. The Processor 22 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 23 is used for establishing a communication connection between the user demand service system 20 and other communication terminal devices through a network, so as to implement transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is well known to those skilled in the art that with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. As any of the operations may be implemented in software or hardware. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. Accordingly, it will be apparent to those skilled in the art of electronic information technology that a more direct and clear description of one embodiment is provided by describing the various operations within the embodiment. Knowing the operations to be performed, the skilled person can directly design the desired product based on considerations of said non-technical factors.
The present application may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present application are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart 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. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (6)
1. A user demand identification method based on automatic production is characterized by comprising the following steps:
identifying target user demand information covered by the online production service information through intelligent production equipment; determining a quantitative index corresponding to the target user for each production operation item in the online production service information in combination with the target user demand information; and determining that the online production service information comprises a service demand information identification result of the target user by combining the quantitative index.
2. The method of claim 1, wherein the online production service information comprises unannotated online production service information.
3. The method of claim 2, wherein the identifying, by the intelligent production equipment, the target user requirement information covered by the online production service information comprises:
identifying key business information of the unannotated online production business information through intelligent production equipment; and the step of determining a quantitative index corresponding to the target user for each production operation item in the online production service information by combining the target user demand information comprises the following steps: and determining a quantitative index of each production operation item in the online production service information corresponding to the target user by combining the key service information of the unannotated online production service information.
4. The method according to claim 1, wherein the determining that the online production service information includes the service requirement information identification result of the target user in combination with the quantitative index includes: and determining the service demand information identification result according to the state information of a plurality of production operation items of which the quantitative indexes corresponding to the target users are not less than the set quantitative indexes.
5. The method according to any one of claims 1 to 4, wherein the determining, in combination with the quantitative index, that the online production service information includes a service requirement information identification result of the target user further includes: determining that the online production service information comprises a distinguishing label of the target user in a service demand information identification result of the target user through a service analysis module; and carrying out transformation operation on the distinguishing label of the target user to obtain the state information and/or the dimension information of the target user.
6. A user demand service system is characterized by comprising a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor implements the method of any one of claims 1-5 by reading the computer program from the memory and running it.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111660661.3A CN114418351A (en) | 2021-12-31 | 2021-12-31 | User demand identification method and service system based on automatic production |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111660661.3A CN114418351A (en) | 2021-12-31 | 2021-12-31 | User demand identification method and service system based on automatic production |
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| Publication Number | Publication Date |
|---|---|
| CN114418351A true CN114418351A (en) | 2022-04-29 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111660661.3A Withdrawn CN114418351A (en) | 2021-12-31 | 2021-12-31 | User demand identification method and service system based on automatic production |
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| CN (1) | CN114418351A (en) |
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2021
- 2021-12-31 CN CN202111660661.3A patent/CN114418351A/en not_active Withdrawn
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Application publication date: 20220429 |