CN113902377A - Vehicle supervision data processing method and system, electronic equipment and storage medium - Google Patents

Vehicle supervision data processing method and system, electronic equipment and storage medium Download PDF

Info

Publication number
CN113902377A
CN113902377A CN202111227428.6A CN202111227428A CN113902377A CN 113902377 A CN113902377 A CN 113902377A CN 202111227428 A CN202111227428 A CN 202111227428A CN 113902377 A CN113902377 A CN 113902377A
Authority
CN
China
Prior art keywords
data
vehicle
information
processing
target data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111227428.6A
Other languages
Chinese (zh)
Inventor
项天成
周传华
李朝阳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Jujun Technology Co ltd
Original Assignee
Shanghai Jujun Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Jujun Technology Co ltd filed Critical Shanghai Jujun Technology Co ltd
Priority to CN202111227428.6A priority Critical patent/CN113902377A/en
Publication of CN113902377A publication Critical patent/CN113902377A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Economics (AREA)
  • Finance (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Development Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Computational Linguistics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Resources & Organizations (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method, a system, electronic equipment and a storage medium for processing vehicle supervision data, wherein the method is used for predetermining data processing modes of different types of vehicle related data; establishing an incidence relation between the vehicle incidence data and a corresponding data processing mode; obtaining initial data associated with an ordered vehicle; analyzing the initial data to determine a target data type of the initial data; and acquiring a target data processing mode based on the incidence relation so as to process the initial data and acquire corresponding target data. According to the invention, the data connection between the service platform and different data systems is pre-established, and the data types sent by the different data systems are set to be processed by adopting corresponding data processing modes, namely, the automation, rationality, flexibility and timeliness of the data processing process are realized, so that the data processing efficiency of the service platform is greatly improved, and the overall operation performance of the service platform is improved.

Description

Vehicle supervision data processing method and system, electronic equipment and storage medium
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and a system for processing vehicle supervision data, an electronic device, and a storage medium.
Background
During the vehicle transaction, a lot of data associated with the ordered vehicle are generated, and the data types are also greatly different, and are respectively managed and monitored by different suppliers (such as financial institutions, supervision warehouses, logistics service providers and the like) independently and separately. However, the existing vehicle supervision data in distributed management cannot guarantee the full-period and comprehensive supervision of each ordered vehicle at all, so that the ordered vehicles cannot be uniformly and effectively managed, and the problems that the vehicle supervision data is not timely, comprehensive and flexible in processing and the like exist.
Disclosure of Invention
The invention aims to overcome the defects that vehicle supervision data in the prior art is not timely, comprehensive and flexible, and provides a vehicle supervision data processing method, a vehicle supervision data processing system, electronic equipment and a storage medium.
The invention solves the technical problems through the following technical scheme:
the invention provides a vehicle supervision data processing method, which is applied to a service platform and comprises the following steps:
predetermining data processing modes of different types of vehicle related data;
establishing an incidence relation between the vehicle incidence data and a corresponding data processing mode;
obtaining initial data associated with an ordered vehicle;
analyzing the initial data to determine a target data type of the initial data;
matching to obtain a target data processing mode corresponding to the target data type based on the incidence relation;
and processing the initial data by adopting the target data processing mode to acquire corresponding target data.
Preferably, the step of analyzing the initial data to determine the target data type of the initial data includes:
performing data identification processing on the initial data to obtain an identification result;
analyzing the identification result to obtain an analysis result;
and determining the target data type of the initial data according to the analysis result.
Preferably, the target data type includes business flow data, capital flow data, logistics data or regulatory warehouse data corresponding to the ordered vehicle.
Preferably, when the target data type includes business flow data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data includes:
associating the uploaded commodity flow data with the set format with the order number information of the ordered vehicle to obtain corresponding target data;
wherein the business flow data comprises at least one of contract data, order data, and invoice data.
Preferably, when the target data type includes business flow data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data includes:
acquiring a commodity flow information correlation image;
identifying the content in the business flow information associated image to extract a first target content;
associating the first target content with a set template to obtain a first association result;
associating the first association result with the order number information of the ordered vehicle to acquire corresponding target data;
the business flow information correlation image comprises an image corresponding to a contract or an invoice, and the target data corresponds to contract data or invoice data; or the like, or, alternatively,
acquiring a corresponding order data acquisition path in contract data of the ordered vehicle;
acquiring order data based on the order data acquisition path;
and associating the order data with the order number information of the ordered vehicle to obtain corresponding target data.
Preferably, when the target data type includes the fund flow data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data includes:
associating the uploaded capital stream data with a set format with the order number information of the ordered vehicle to obtain corresponding target data; or the like, or, alternatively,
collecting a fund flow information correlation image;
identifying the content in the fund flow information associated image to extract a second target content;
associating the second target content with a set template to obtain a second association result;
associating the second association result with the order number information of the ordered vehicle to acquire corresponding target data;
the fund flow information related image comprises an image corresponding to a money transfer bill, and the target data corresponds to fund flow record data; or the like, or, alternatively,
pre-establishing a data interface connection with a target mechanism;
collecting fund flow record data corresponding to the ordered vehicle based on the data interface;
and associating the capital flow record data with the order number information of the ordered vehicle to obtain corresponding target data.
Preferably, when the target data type includes logistics data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data includes:
acquiring lift application information, departure application information or departure information;
associating the vehicle lifting application information, the vehicle sending application information or the vehicle sending information with the order number information of the ordered vehicle to obtain corresponding target data;
the vehicle lifting application information, the vehicle sending application information and the vehicle sending information correspond to at least one of vehicle attribute information, affiliated warehouse information and affiliated customer information.
Preferably, the method further comprises:
acquiring order financing information of the ordered vehicle;
judging whether the user finishes vehicle loan repayment of the ordered vehicle according to the financing order information, if so, accepting the vehicle lifting application information, and generating and sending vehicle lifting operation information to a supervision warehouse end; if not, rejecting the lift application information and/or generating prompt information; or the like, or, alternatively,
and bringing the ordered vehicle into a supervision flow based on the order data and the order financing information.
Preferably, when the target data type includes regulatory warehouse data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data includes:
acquiring warehousing information or ex-warehouse information of the ordered vehicle;
the warehousing information and the ex-warehouse information correspond to at least one of warehousing time, vehicle frame numbers, vehicle colors, vehicle models, positions and vehicle images;
and associating the warehousing information with the order number information of the ordered vehicle to acquire corresponding target data.
Preferably, the step of obtaining the corresponding target data further includes:
and associating the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicles based on the order number information so as to obtain summarized data and store the summarized data in a set database.
Preferably, the method further comprises:
acquiring a query request;
and executing a query operation in the setting database based on the query request to obtain a query result.
The invention also provides a system for processing vehicle supervision data, which is applied to a service platform and comprises:
the processing mode determining module is used for determining data processing modes of different types of vehicle related data in advance;
the incidence relation establishing module is used for establishing incidence relation between the vehicle incidence data and the corresponding data processing mode;
an initial data acquisition module for acquiring initial data associated with an ordered vehicle;
the data type determining module is used for analyzing and processing the initial data to determine a target data type of the initial data;
the processing mode matching module is used for matching to obtain a target data processing mode corresponding to the target data type based on the incidence relation;
and the target data acquisition module is used for processing the initial data in the target data processing mode to acquire corresponding target data.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the processing method of the vehicle supervision data when executing the computer program.
The present invention also provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the above-mentioned method of processing vehicle supervision data.
On the basis of the common knowledge in the field, the preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
in the invention, the data connection between the service platform and different data systems is pre-established, and the data types sent by the different data systems are set to be processed by adopting corresponding data processing modes, namely, the automation, the rationality, the flexibility and the timeliness of the data processing process are realized, so that the data processing efficiency of the service platform is greatly improved, and the integral operation performance of the service platform is improved; meanwhile, based on the order number signal of the ordered vehicle, the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicle are correlated and stored in the database, so that subsequent operations such as inquiry and management are facilitated, and the supervision processing efficiency of the vehicle data is further improved.
Drawings
Fig. 1 is a flowchart of a method for processing vehicle supervision data according to embodiment 1 of the present invention.
Fig. 2 is a flowchart of a vehicle supervision data processing method according to embodiment 2 of the present invention.
Fig. 3 is a block diagram schematically showing a vehicle supervision data processing system according to embodiment 3 of the present invention.
Fig. 4 is a block diagram schematically showing a vehicle supervision data processing system according to embodiment 4 of the present invention.
Fig. 5 is a schematic structural diagram of an electronic device according to embodiment 5 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
The vehicle supervision data processing method is applied to a service platform.
As shown in fig. 1, the method for processing vehicle supervision data of the present embodiment includes:
s101, predetermining data processing modes of different types of vehicle related data;
s102, establishing an association relation between the vehicle association data and a corresponding data processing mode;
s103, acquiring initial data associated with the ordered vehicle;
s104, analyzing and processing the initial data to determine the target data type of the initial data;
the target data type includes, but is not limited to, business flow data, capital flow data, logistics data or regulatory warehouse data corresponding to the ordered vehicle.
S105, matching to obtain a target data processing mode corresponding to the target data type based on the incidence relation;
and S106, processing the initial data by adopting a target data processing mode to obtain corresponding target data.
In the embodiment, the data connection between the service platform and different data systems is pre-established, and the data types sent by the different data systems are set to be processed by adopting corresponding data processing modes, namely, the automation, the rationality, the flexibility and the timeliness of the data processing process are realized, so that the data processing efficiency of the service platform is greatly improved, and the overall operation performance of the service platform is improved; meanwhile, based on the order number signal of the ordered vehicle, the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicle are correlated and stored in the database, so that subsequent operations such as inquiry and management are facilitated, and the supervision processing efficiency of the vehicle data is further improved.
Example 2
As shown in fig. 2, the processing method of the vehicle supervision data of the present embodiment is a further improvement of embodiment 1, specifically:
in an embodiment, step S104 includes:
carrying out data identification processing on the initial data to obtain an identification result;
analyzing the identification result to obtain an analysis result;
and determining the target data type of the initial data according to the analysis result.
In an embodiment, when the target data type includes business flow data corresponding to the ordered vehicle, step S104 includes:
associating the uploaded commodity flow data with the set format with order number information of the ordered vehicles to obtain corresponding target data;
the business flow data includes, but is not limited to, contract data, order data, and invoice data.
In an embodiment, when the target data type includes business flow data corresponding to the ordered vehicle, step S104 includes:
acquiring a commodity flow information correlation image;
identifying the content in the business flow information associated image to extract a first target content;
associating the first target content with a set template to obtain a first association result;
associating the first association result with order number information of the ordered vehicle to acquire corresponding target data;
the business flow information correlation image comprises an image corresponding to a contract or an invoice, and the target data corresponds to contract data or invoice data.
In an embodiment, when the target data type includes business flow data corresponding to the ordered vehicle, step S104 includes:
acquiring a corresponding order data acquisition path in contract data of an order vehicle;
acquiring order data based on the order data acquisition path;
and associating the order data with the order number information of the ordered vehicle to obtain corresponding target data.
For contract data, a user can download an electronic template of a contract at a PC end, edit information based on the electronic template to obtain the contract of an electronic version and upload the contract to a service platform; or, the user can adopt a contract identification applet and the like, after logging in the applet, the image corresponding to the contract text is uploaded and uploaded, then the uploaded contract image is identified to extract contract key information, and finally the contract key information and a set contract template are combined to obtain the contract of the electronic version; meanwhile, the contract data corresponding to each ordered vehicle needs to be associated and bound with the unique order number information, so that the accuracy and traceability of each ordered vehicle data are ensured.
For order data, a user can download an electronic template of an order at a Personal Computer (PC) terminal, edit information based on the electronic template to obtain the order of an electronic version and upload the order to a service platform; or, the order data is directly acquired from the POP3 mailbox through a data acquisition path established in the contract data, such as a set mailbox protocol POP3 mailbox protocol, and the order data comprises the movable property data corresponding to the ordered vehicle. Meanwhile, order data corresponding to each ordered vehicle needs to be associated and bound with unique order number information, so that the accuracy and traceability of each ordered vehicle data are guaranteed.
For invoice data, a user can download an electronic template of an invoice at a PC (personal computer) terminal, edit information (including invoice numbers, frame numbers, order numbers, contract numbers and the like) based on the electronic template to obtain an invoice of an electronic version, and upload the invoice to a service platform; or, the user can use an invoice identification applet and the like, after logging in the applet, the image corresponding to the invoice text is uploaded and uploaded, then the uploaded invoice image is identified to extract invoice key information (including an invoice number, a vehicle frame number, an order number, a contract number and the like), and finally the invoice key information and a set invoice template are combined to obtain an electronic-version invoice; meanwhile, invoice data corresponding to each ordered vehicle needs to be associated and bound with unique order number information, so that the accuracy and traceability of each ordered vehicle data are guaranteed.
In an embodiment, when the target data type includes the fund flow data corresponding to the ordered vehicle, step S104 includes:
associating the uploaded fund flow data with the set format with order number information of the ordered vehicles to obtain corresponding target data; or the like, or, alternatively,
collecting a fund flow information correlation image;
identifying the content in the fund flow information associated image to extract a second target content;
associating the second target content with a set template to obtain a second association result;
associating the second association result with the order number information of the ordered vehicle to acquire corresponding target data;
the fund flow information related image comprises an image corresponding to a money transfer bill, and the target data corresponds to fund flow record data; or the like, or, alternatively,
pre-establishing a data interface connection with a target mechanism;
collecting capital flow record data corresponding to the ordered vehicle based on the data interface;
and associating the fund flow record data with the order number information of the ordered vehicle to obtain corresponding target data.
For the capital flow record data, a user can download an electronic template of the money transfer sheet at a PC (personal computer) end, edit information based on the electronic template to obtain the money transfer sheet of an electronic version and upload the money transfer sheet to a service platform; or, the user can adopt a money transfer bill identification applet and the like, after logging in the applet, the image corresponding to the money transfer bill text is uploaded and uploaded, then the uploaded money transfer bill image is identified to extract key information of the money transfer bill, and finally the key information of the money transfer bill and a set money transfer single template are combined to obtain the electronic-version money transfer bill; meanwhile, the money transfer data corresponding to each ordered vehicle needs to be associated and bound with the unique order number information, so that the accuracy and traceability of each ordered vehicle data are ensured. Alternatively, the current user's financial record information for purchasing the vehicle is obtained directly from the target institution (e.g., financial institution).
In an embodiment, when the target data type includes logistics data corresponding to the ordered vehicle, step S104 includes:
acquiring lift application information, departure application information or departure information;
associating the vehicle lifting application information, the vehicle sending application information or the vehicle sending information with order number information of ordered vehicles to obtain corresponding target data;
the vehicle lifting application information, the vehicle sending application information and the vehicle sending information correspond to vehicle attribute information, affiliated warehouse information, affiliated customer information and the like.
In an embodiment, the method for processing vehicle supervision data of the present embodiment further includes:
acquiring order financing information of ordered vehicles;
judging whether the user finishes vehicle loan repayment of the ordered vehicle according to the financing order information, if so, accepting the vehicle lifting application information, and generating and sending vehicle lifting operation information to a supervision warehouse end; if not, refusing the vehicle lifting application information and/or generating prompt information; or the like, or, alternatively,
and bringing the ordered vehicles into a supervision flow based on the order data and the order financing information.
For the lift application information, establishing data communication connection between enterprise ERP (enterprise resource planning system) and a service platform in real time, for example, obtaining the lift application information and order financing information of a user through a restful interface (a data interface) and the like, and receiving the lift application and forwarding the lift application to a supervision warehouse to complete subsequent lift operation when the repayment of vehicle loan is completed by the user compared with a financial institution; otherwise, refusing the vehicle lifting application.
For the departure application information, data communication connection is established between the enterprise ERP and the service platform in real time, for example, through a restful interface and the like, the user's lift application information and order financing information are obtained, and the vehicle is brought into a supervision flow based on the movable property data and the order financing information in the order data, so that the vehicle is guaranteed to be supervised.
For the shipping information, data communication connection is established between the host factory and the service platform in real time (or mail content in a mailbox agreed by a POP3 protocol is analyzed), the shipping information of the vehicles ordered by the core enterprise is obtained, the shipping information and the order financing information of the user are obtained, and the vehicles are brought into a supervision flow based on the movable property data and the order financing information in the order data, so that the vehicles are guaranteed to be supervised.
In one embodiment, when the target data type includes regulatory warehouse data corresponding to the ordered vehicle, step S104 includes:
acquiring warehousing information or ex-warehouse information of ordered vehicles;
the warehousing information and the ex-warehouse information correspond to warehousing time, vehicle frame numbers, vehicle colors, vehicle models, positions, vehicle images and the like;
and associating the warehousing information with the order number information of the ordered vehicle to acquire corresponding target data.
And for the warehousing information, establishing data communication connection between the supervision warehouse WMS and the service platform in real time, and actively inquiring or subscribing the warehousing information of the vehicle through the frame number. When the supervision warehouse personnel finish the vehicle warehousing operation, actively pushing the vehicle warehousing event to the service platform, pulling the specific warehousing information (comprising warehousing time, frame number, vehicle color, vehicle model, location, vehicle image and the like) of the vehicle from the WMS by the service platform through the frame number and the like, and changing the asset state on the platform according to the frame number.
And for the ex-warehouse information, establishing data communication connection between the supervision warehouse WMS and the service platform in real time, and actively inquiring or subscribing the ex-warehouse information of the vehicle through the frame number. When the supervision warehouse staff finish the vehicle warehouse-out operation, the vehicle warehouse-out event is actively pushed to the service platform, the service platform pulls the specific warehouse-out information (including warehouse-out time, frame number, vehicle color, vehicle model, position, vehicle image and the like) of the vehicle from the WMS through the frame number and the like, and the asset state on the platform is changed according to the frame number.
In an embodiment, after step S106, the method further includes:
s107, correlating the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicles based on the order number information to obtain summarized data and storing the summarized data into a set database;
s108, acquiring a query request;
and S109, executing query operation in the setting database based on the query request to obtain a query result.
The commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data are correlated and stored in the database, so that subsequent operations such as inquiry, management and the like are facilitated.
In the embodiment, the data connection between the service platform and different data systems is pre-established, and the data types sent by the different data systems are set to be processed by adopting corresponding data processing modes, namely, the automation, the rationality, the flexibility and the timeliness of the data processing process are realized, so that the data processing efficiency of the service platform is greatly improved, and the overall operation performance of the service platform is improved; meanwhile, based on the order number signal of the ordered vehicle, the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicle are correlated and stored in the database, so that subsequent operations such as inquiry and management are facilitated, and the supervision processing efficiency of the vehicle data is further improved.
Example 5
The vehicle supervision data processing system of the embodiment is applied to a service platform.
As shown in fig. 3, the processing system of vehicle supervision data of the present embodiment includes:
the processing mode determining module 1 is used for determining data processing modes of different types of vehicle related data in advance;
the incidence relation establishing module 2 is used for establishing incidence relation between the vehicle incidence data and the corresponding data processing modes;
an initial data acquisition module 3 for acquiring initial data associated with an ordered vehicle;
the data type determining module 4 is used for analyzing and processing the initial data to determine a target data type of the initial data;
the target data type includes, but is not limited to, business flow data, capital flow data, logistics data or regulatory warehouse data corresponding to the ordered vehicle.
The processing mode matching module 5 is used for matching to obtain a target data processing mode corresponding to the target data type based on the incidence relation;
and the target data acquisition module 6 is used for processing the initial data in a target data processing mode to acquire corresponding target data.
In the embodiment, the data connection between the service platform and different data systems is pre-established, and the data types sent by the different data systems are set to be processed by adopting corresponding data processing modes, namely, the automation, the rationality, the flexibility and the timeliness of the data processing process are realized, so that the data processing efficiency of the service platform is greatly improved, and the overall operation performance of the service platform is improved; meanwhile, based on the order number signal of the ordered vehicle, the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicle are correlated and stored in the database, so that subsequent operations such as inquiry and management are facilitated, and the supervision processing efficiency of the vehicle data is further improved.
Example 4
As shown in fig. 4, the processing system of vehicle supervision data of the present embodiment is a further improvement of embodiment 5, specifically:
in an implementable scenario, the data type determination module 4 of the present embodiment includes:
the data identification processing unit is used for carrying out data identification processing on the initial data to obtain an identification result;
an analysis result acquisition unit for analyzing the identification result to acquire an analysis result;
and the data type determining unit is used for determining the target data type of the initial data according to the analysis result.
In an implementable scheme, when the target data type includes business flow data corresponding to the ordered vehicle, the target data obtaining module 6 is configured to associate the business flow data in the uploaded set format with order number information of the ordered vehicle to obtain corresponding target data;
the business flow data comprises contract data, order data, invoice data and the like.
In an implementable scheme, when the target data type includes business flow data corresponding to the ordered vehicle, the target data acquisition module 6 is configured to acquire a business flow information associated image; identifying the content in the business flow information associated image to extract a first target content; associating the first target content with a set template to obtain a first association result; associating the first association result with order number information of the ordered vehicle to acquire corresponding target data;
the business flow information correlation image comprises an image corresponding to a contract or an invoice, and the target data corresponds to contract data or invoice data; or the like, or, alternatively,
the target data acquisition module 6 is used for acquiring an order data acquisition path corresponding to contract data of an ordered vehicle; acquiring order data based on the order data acquisition path; and associating the order data with the order number information of the ordered vehicle to obtain corresponding target data.
For contract data, a user can download an electronic template of a contract at a PC end, edit information based on the electronic template to obtain the contract of an electronic version and upload the contract to a service platform; or, the user can adopt a contract identification applet and the like, after logging in the applet, the image corresponding to the contract text is uploaded and uploaded, then the uploaded contract image is identified to extract contract key information, and finally the contract key information and a set contract template are combined to obtain the contract of the electronic version; meanwhile, the contract data corresponding to each ordered vehicle needs to be associated and bound with the unique order number information, so that the accuracy and traceability of each ordered vehicle data are ensured.
For order data, a user can download an electronic template of an order at a PC terminal, edit information based on the electronic template to obtain the order of an electronic version and upload the order to a service platform; or, the order data is directly acquired from the POP3 mailbox through a data acquisition path established in the contract data, such as a set mailbox protocol POP3 mailbox protocol, and the order data comprises the movable property data corresponding to the ordered vehicle. Meanwhile, order data corresponding to each ordered vehicle needs to be associated and bound with unique order number information, so that the accuracy and traceability of each ordered vehicle data are guaranteed.
For invoice data, a user can download an electronic template of an invoice at a PC (personal computer) terminal, edit information (including invoice numbers, frame numbers, order numbers, contract numbers and the like) based on the electronic template to obtain an invoice of an electronic version, and upload the invoice to a service platform; or, the user can use an invoice identification applet and the like, after logging in the applet, the image corresponding to the invoice text is uploaded and uploaded, then the uploaded invoice image is identified to extract invoice key information (including an invoice number, a vehicle frame number, an order number, a contract number and the like), and finally the invoice key information and a set invoice template are combined to obtain an electronic-version invoice; meanwhile, invoice data corresponding to each ordered vehicle needs to be associated and bound with unique order number information, so that the accuracy and traceability of each ordered vehicle data are guaranteed.
In an implementable scheme, when the target data type includes fund flow data corresponding to the ordered vehicle, the target data obtaining module 6 is configured to associate the uploaded fund flow data in the set format with order number information of the ordered vehicle to obtain corresponding target data; or the like, or, alternatively,
the target data acquisition module 6 is used for acquiring a fund flow information correlation image; identifying the content in the fund flow information associated image to extract a second target content; associating the second target content with a set template to obtain a second association result; associating the second association result with the order number information of the ordered vehicle to acquire corresponding target data;
the fund flow information related image comprises an image corresponding to a money transfer bill, and the target data corresponds to fund flow record data; or the like, or, alternatively,
the target data acquisition module 6 is used for establishing data interface connection with a target mechanism in advance; collecting capital flow record data corresponding to the ordered vehicle based on the data interface; and associating the fund flow record data with the order number information of the ordered vehicle to obtain corresponding target data.
For the capital flow record data, a user can download an electronic template of the money transfer sheet at a PC (personal computer) end, edit information based on the electronic template to obtain the money transfer sheet of an electronic version and upload the money transfer sheet to a service platform; or, the user can adopt a money transfer bill identification applet and the like, after logging in the applet, the image corresponding to the money transfer bill text is uploaded and uploaded, then the uploaded money transfer bill image is identified to extract key information of the money transfer bill, and finally the key information of the money transfer bill and a set money transfer single template are combined to obtain the electronic-version money transfer bill; meanwhile, the money transfer data corresponding to each ordered vehicle needs to be associated and bound with the unique order number information, so that the accuracy and traceability of each ordered vehicle data are ensured. Alternatively, the current user's financial record information for purchasing the vehicle is obtained directly from the target institution (e.g., financial institution).
In an implementable scheme, when the target data type includes logistics data corresponding to the ordered vehicle, the target data obtaining module 6 is configured to obtain vehicle pickup application information, vehicle departure application information or vehicle departure information; associating the vehicle lifting application information, the vehicle sending application information or the vehicle sending information with order number information of ordered vehicles to obtain corresponding target data;
the vehicle lifting application information, the vehicle sending application information and the vehicle sending information correspond to vehicle attribute information, affiliated warehouse information, affiliated customer information and the like.
In an implementable aspect, the vehicle supervision data processing system of the present embodiment further includes:
a financing information acquisition module 7 for acquiring order financing information of the ordered vehicle;
the judging module 8 is used for judging whether the user finishes vehicle loan repayment of the ordered vehicle according to the financing order information, if so, accepting the vehicle lifting application information, and generating and sending vehicle lifting operation information to the monitoring warehouse; if not, refusing the vehicle lifting application information and/or generating prompt information; or the like, or, alternatively,
and the supervision processing module 9 is used for bringing the ordered vehicles into a supervision flow based on the order data and the order financing information.
For the lift application information, establishing data communication connection between enterprise ERP (enterprise resource planning system) and a service platform in real time, for example, obtaining the lift application information and order financing information of a user through a restful interface and the like, and when the user finishes repayment of vehicle loan compared with a financial institution, receiving the lift application and forwarding the lift application to a supervision warehouse to finish subsequent lift operation; otherwise, refusing the vehicle lifting application.
For the departure application information, data communication connection is established between the enterprise ERP and the service platform in real time, for example, through a restful interface and the like, the user's lift application information and order financing information are obtained, and the vehicle is brought into a supervision flow based on the movable property data and the order financing information in the order data, so that the vehicle is guaranteed to be supervised.
For the shipping information, data communication connection is established between the host factory and the service platform in real time (or mail content in a mailbox agreed by a POP3 protocol is analyzed), the shipping information of the vehicles ordered by the core enterprise is obtained, the shipping information and the order financing information of the user are obtained, and the vehicles are brought into a supervision flow based on the movable property data and the order financing information in the order data, so that the vehicles are guaranteed to be supervised.
In an implementable scheme, when the target data type includes the regulatory warehouse data corresponding to the ordered vehicle, the target data acquisition module 6 is configured to acquire warehousing information or ex-warehouse information of the ordered vehicle; associating the warehousing information with order number information of the ordered vehicles to acquire corresponding target data;
the warehousing information and the ex-warehouse information correspond to warehousing time, vehicle frame numbers, vehicle colors, vehicle models, positions, vehicle images and the like.
And for the warehousing information, establishing data communication connection between the supervision warehouse WMS and the service platform in real time, and actively inquiring or subscribing the warehousing information of the vehicle through the frame number. When the supervision warehouse personnel finish the vehicle warehousing operation, actively pushing the vehicle warehousing event to the service platform, pulling the specific warehousing information (comprising warehousing time, frame number, vehicle color, vehicle model, location, vehicle image and the like) of the vehicle from the WMS by the service platform through the frame number and the like, and changing the asset state on the platform according to the frame number.
And for the ex-warehouse information, establishing data communication connection between the supervision warehouse WMS and the service platform in real time, and actively inquiring or subscribing the ex-warehouse information of the vehicle through the frame number. When the supervision warehouse staff finish the vehicle warehouse-out operation, the vehicle warehouse-out event is actively pushed to the service platform, the service platform pulls the specific warehouse-out information (including warehouse-out time, frame number, vehicle color, vehicle model, position, vehicle image and the like) of the vehicle from the WMS through the frame number and the like, and the asset state on the platform is changed according to the frame number.
In an implementable aspect, the vehicle supervision data processing system of the present embodiment further includes:
the data summarization module 10 is configured to associate the commodity circulation data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicle based on the order number information, so as to obtain summarized data and store the summarized data in a set database.
In an implementable aspect, the vehicle supervision data processing system of the present embodiment further includes:
a query request obtaining module 11, configured to obtain a query request;
and the query result obtaining module 12 is configured to perform a query operation in the setting database based on the query request to obtain a query result.
The commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data are correlated and stored in the database, so that subsequent operations such as inquiry, management and the like are facilitated.
In the embodiment, the data connection between the service platform and different data systems is pre-established, and the data types sent by the different data systems are set to be processed by adopting corresponding data processing modes, namely, the automation, the rationality, the flexibility and the timeliness of the data processing process are realized, so that the data processing efficiency of the service platform is greatly improved, and the overall operation performance of the service platform is improved; meanwhile, based on the order number signal of the ordered vehicle, the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicle are correlated and stored in the database, so that subsequent operations such as inquiry and management are facilitated, and the supervision processing efficiency of the vehicle data is further improved.
Example 5
Fig. 5 is a schematic structural diagram of an electronic device according to embodiment 5 of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method for processing vehicle supervision data in any one of embodiments 1 or 2 when executing the program. The electronic device 30 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in FIG. 5, the electronic device 30 may take the form of a general purpose computing device, which may be a server device, for example. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM)321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
Memory 32 may also include a program/utility 325 having a set (at least one) of program modules 324, such program modules 324 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The processor 31 executes various functional applications and data processing, such as a processing method of vehicle supervision data in any one of the embodiments 1 or 2 of the present invention, by executing the computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, model-generating device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 36. As shown in FIG. 5, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 6
The present embodiment provides a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the steps in the method of processing vehicle supervision data in any one of embodiments 1 or 2.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps of the method for processing vehicle supervision data according to any of the embodiments 1 or 2, when the program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (14)

1. A method for processing vehicle supervision data, the method being applied in a service platform, the method comprising:
predetermining data processing modes of different types of vehicle related data;
establishing an incidence relation between the vehicle incidence data and a corresponding data processing mode;
obtaining initial data associated with an ordered vehicle;
analyzing the initial data to determine a target data type of the initial data;
matching to obtain a target data processing mode corresponding to the target data type based on the incidence relation;
and processing the initial data by adopting the target data processing mode to acquire corresponding target data.
2. The method of processing vehicle regulatory data of claim 1, wherein the step of analytically processing the initial data to determine the target data type of the initial data comprises:
performing data identification processing on the initial data to obtain an identification result;
analyzing the identification result to obtain an analysis result;
and determining the target data type of the initial data according to the analysis result.
3. The method of processing vehicle regulatory data of claim 1 or 2, wherein the target data type comprises business flow data, capital flow data, logistics data or regulatory warehouse data corresponding to the ordered vehicle.
4. The method for processing vehicle supervision data according to claim 3, wherein when the target data type includes business flow data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data comprises:
associating the uploaded commodity flow data with the set format with the order number information of the ordered vehicle to obtain corresponding target data;
wherein the business flow data comprises at least one of contract data, order data, and invoice data.
5. The method for processing vehicle supervision data according to claim 3, wherein when the target data type includes business flow data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data comprises:
acquiring a commodity flow information correlation image;
identifying the content in the business flow information associated image to extract a first target content;
associating the first target content with a set template to obtain a first association result;
associating the first association result with the order number information of the ordered vehicle to acquire corresponding target data;
the business flow information correlation image comprises an image corresponding to a contract or an invoice, and the target data corresponds to contract data or invoice data; or the like, or, alternatively,
acquiring a corresponding order data acquisition path in contract data of the ordered vehicle;
acquiring order data based on the order data acquisition path;
and associating the order data with the order number information of the ordered vehicle to obtain corresponding target data.
6. The method for processing vehicle supervision data according to claim 3, wherein when the target data type includes the fund flow data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain the corresponding target data comprises:
associating the uploaded capital stream data with a set format with the order number information of the ordered vehicle to obtain corresponding target data; or the like, or, alternatively,
collecting a fund flow information correlation image;
identifying the content in the fund flow information associated image to extract a second target content;
associating the second target content with a set template to obtain a second association result;
associating the second association result with the order number information of the ordered vehicle to acquire corresponding target data;
the fund flow information related image comprises an image corresponding to a money transfer bill, and the target data corresponds to fund flow record data; or the like, or, alternatively,
pre-establishing a data interface connection with a target mechanism;
collecting fund flow record data corresponding to the ordered vehicle based on the data interface;
and associating the capital flow record data with the order number information of the ordered vehicle to obtain corresponding target data.
7. The method for processing vehicle supervision data according to claim 4, wherein when the target data type includes logistics data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data comprises:
acquiring lift application information, departure application information or departure information;
associating the vehicle lifting application information, the vehicle sending application information or the vehicle sending information with the order number information of the ordered vehicle to obtain corresponding target data;
the vehicle lifting application information, the vehicle sending application information and the vehicle sending information correspond to at least one of vehicle attribute information, affiliated warehouse information and affiliated customer information.
8. The method of processing vehicle regulatory data of claim 7, wherein the method further comprises:
acquiring order financing information of the ordered vehicle;
judging whether the user finishes vehicle loan repayment of the ordered vehicle according to the financing order information, if so, accepting the vehicle lifting application information, and generating and sending vehicle lifting operation information to a supervision warehouse end; if not, rejecting the lift application information and/or generating prompt information; or the like, or, alternatively,
and bringing the ordered vehicle into a supervision flow based on the order data and the order financing information.
9. The method of processing vehicle regulatory data of claim 3, wherein when the target data type comprises regulatory warehouse data corresponding to the ordered vehicle, the step of processing the initial data in the target data processing manner to obtain corresponding target data comprises:
acquiring warehousing information or ex-warehouse information of the ordered vehicle;
the warehousing information and the ex-warehouse information correspond to at least one of warehousing time, vehicle frame numbers, vehicle colors, vehicle models, positions and vehicle images;
and associating the warehousing information with the order number information of the ordered vehicle to acquire corresponding target data.
10. The method of processing vehicle regulatory data of claim 3, wherein the step of obtaining corresponding target data is further followed by:
and associating the commodity flow data, the capital flow data, the logistics data and the supervision warehouse data corresponding to the ordered vehicles based on the order number information so as to obtain summarized data and store the summarized data in a set database.
11. The method of processing vehicle regulatory data of claim 10, wherein the method further comprises:
acquiring a query request;
and executing a query operation in the setting database based on the query request to obtain a query result.
12. A system for processing vehicle supervision data, the system being applied in a service platform, the system comprising:
the processing mode determining module is used for determining data processing modes of different types of vehicle related data in advance;
the incidence relation establishing module is used for establishing incidence relation between the vehicle incidence data and the corresponding data processing mode;
an initial data acquisition module for acquiring initial data associated with an ordered vehicle;
the data type determining module is used for analyzing and processing the initial data to determine a target data type of the initial data;
the processing mode matching module is used for matching to obtain a target data processing mode corresponding to the target data type based on the incidence relation;
and the target data acquisition module is used for processing the initial data in the target data processing mode to acquire corresponding target data.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of processing vehicle supervision data according to any of claims 1-11 when executing the computer program.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of processing vehicle supervision data according to any one of claims 1-11.
CN202111227428.6A 2021-10-21 2021-10-21 Vehicle supervision data processing method and system, electronic equipment and storage medium Pending CN113902377A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111227428.6A CN113902377A (en) 2021-10-21 2021-10-21 Vehicle supervision data processing method and system, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111227428.6A CN113902377A (en) 2021-10-21 2021-10-21 Vehicle supervision data processing method and system, electronic equipment and storage medium

Publications (1)

Publication Number Publication Date
CN113902377A true CN113902377A (en) 2022-01-07

Family

ID=79026049

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111227428.6A Pending CN113902377A (en) 2021-10-21 2021-10-21 Vehicle supervision data processing method and system, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113902377A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116542765A (en) * 2023-07-06 2023-08-04 深圳市明心数智科技有限公司 Vehicle management method and related equipment

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102486862A (en) * 2010-12-01 2012-06-06 北汽福田汽车股份有限公司 Data processing method and data processing system
CN109656923A (en) * 2018-12-19 2019-04-19 北京字节跳动网络技术有限公司 A kind of data processing method, device, electronic equipment and storage medium
CN109741136A (en) * 2018-12-28 2019-05-10 上汽通用五菱汽车股份有限公司 Sale of automobile management method, equipment and computer storage medium
CN110222939A (en) * 2019-05-10 2019-09-10 深圳市艾雷蒙德工业互联网有限公司 A kind of wisdom supply chain Services Integration management platform system
WO2019192119A1 (en) * 2018-04-03 2019-10-10 平安科技(深圳)有限公司 Blockchain-based financing method and system, and storage medium
CN111083030A (en) * 2019-12-25 2020-04-28 南京领行科技股份有限公司 Data acquisition method, device, equipment and storage medium
CN111445182A (en) * 2020-03-23 2020-07-24 深圳市海格物流股份有限公司 Logistics order path tracking system and method
CN111784256A (en) * 2020-07-06 2020-10-16 上海恒道国际物流股份有限公司 Logistics supply chain management method and system
CN111986001A (en) * 2020-08-24 2020-11-24 上海玳鸽信息技术有限公司 Order financing method, device and system based on block chain
CN112396385A (en) * 2021-01-20 2021-02-23 四川文轩宝湾供应链有限公司 Supply chain information collaborative sharing-based transaction method and system
CN113011907A (en) * 2020-12-18 2021-06-22 腾讯科技(深圳)有限公司 Data processing method, device, storage medium and equipment

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102486862A (en) * 2010-12-01 2012-06-06 北汽福田汽车股份有限公司 Data processing method and data processing system
WO2019192119A1 (en) * 2018-04-03 2019-10-10 平安科技(深圳)有限公司 Blockchain-based financing method and system, and storage medium
CN109656923A (en) * 2018-12-19 2019-04-19 北京字节跳动网络技术有限公司 A kind of data processing method, device, electronic equipment and storage medium
CN109741136A (en) * 2018-12-28 2019-05-10 上汽通用五菱汽车股份有限公司 Sale of automobile management method, equipment and computer storage medium
CN110222939A (en) * 2019-05-10 2019-09-10 深圳市艾雷蒙德工业互联网有限公司 A kind of wisdom supply chain Services Integration management platform system
CN111083030A (en) * 2019-12-25 2020-04-28 南京领行科技股份有限公司 Data acquisition method, device, equipment and storage medium
CN111445182A (en) * 2020-03-23 2020-07-24 深圳市海格物流股份有限公司 Logistics order path tracking system and method
CN111784256A (en) * 2020-07-06 2020-10-16 上海恒道国际物流股份有限公司 Logistics supply chain management method and system
CN111986001A (en) * 2020-08-24 2020-11-24 上海玳鸽信息技术有限公司 Order financing method, device and system based on block chain
CN113011907A (en) * 2020-12-18 2021-06-22 腾讯科技(深圳)有限公司 Data processing method, device, storage medium and equipment
CN112396385A (en) * 2021-01-20 2021-02-23 四川文轩宝湾供应链有限公司 Supply chain information collaborative sharing-based transaction method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116542765A (en) * 2023-07-06 2023-08-04 深圳市明心数智科技有限公司 Vehicle management method and related equipment
CN116542765B (en) * 2023-07-06 2024-03-26 深圳市明心数智科技有限公司 Vehicle management method and related equipment

Similar Documents

Publication Publication Date Title
US8782616B2 (en) Templates for configuring digital sending devices to achieve an automated business process
RU2412467C2 (en) Method and system for setting up and communication with radio frequency identification middleware server from enterprise resource planing system server
JP5328052B2 (en) RFID discovery, tracking and provisioning of information technology assets
US8874455B2 (en) Convergence of customer and internal assets
US11593592B2 (en) Intelligent payment processing platform system and method
US8190494B2 (en) Order processing analysis tool
CN102929759A (en) Business action monitoring operation time program
CN1987923A (en) License activation for preloaded software
CN109741022B (en) Method, device, storage medium and equipment for sharing electronic government front-end information
KR102523033B1 (en) Systems and methods for breaking up select requests to streamline processes and improve scalability
KR20220051129A (en) A system and method for detecting errors in asynchronously queued requests
CN113902377A (en) Vehicle supervision data processing method and system, electronic equipment and storage medium
CN106487799A (en) Facility information storage system based on cloud platform
US20240062235A1 (en) Systems and methods for automated processing and analysis of deduction backup data
KR101251600B1 (en) method and apparatus of suportting commercialization for technology
US11741036B2 (en) Unified smart connector
CN102880927A (en) A method and apparatus for enterprise intelligence ('ei') management in an ei framework
CN116187915A (en) Warehouse management method, device, equipment and storage medium
TW201112138A (en) Mobile inventory system and method thereof
TWI833076B (en) Computer-implemented system and method for processing return without receiving item to minimize network load
KR20110055225A (en) Method and system managing an online trade information of a bank
CN113902378A (en) Vehicle asset supervision method, system, service platform, electronic equipment and medium
CN113868227A (en) Data migration method and device
CN115115443A (en) Policy reimbursement method and device, electronic equipment and storage medium
CN116700718A (en) Page configuration-based data processing method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination