CN117151439A - Supply chain bottom intelligent service system - Google Patents
Supply chain bottom intelligent service system Download PDFInfo
- Publication number
- CN117151439A CN117151439A CN202311422530.0A CN202311422530A CN117151439A CN 117151439 A CN117151439 A CN 117151439A CN 202311422530 A CN202311422530 A CN 202311422530A CN 117151439 A CN117151439 A CN 117151439A
- Authority
- CN
- China
- Prior art keywords
- data
- analysis
- unit
- subunit
- information
- 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
Links
- 238000004458 analytical method Methods 0.000 claims abstract description 65
- 238000004891 communication Methods 0.000 claims abstract description 18
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 9
- 238000011835 investigation Methods 0.000 claims abstract description 4
- 238000013500 data storage Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000011160 research Methods 0.000 claims description 4
- 238000013480 data collection Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 2
- 238000007689 inspection Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 11
- 238000007726 management method Methods 0.000 description 6
- 238000004590 computer program Methods 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 238000012795 verification Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000012550 audit Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Operations Research (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of information specially suitable for finance and business management, in particular to a supply chain bottom intelligent service system which comprises a back-end data layer and a front-end application layer which is communicated with the back-end data layer; the back-end data layer comprises an operation data acquisition module, a standard analysis module and an inspection module; the front-end application layer comprises a product information checking module and a market investigation data analysis module; the back-end data layer receives the data information from the front-end application layer and feeds back the analysis processing result to the front-end application layer. The system of the invention is provided with the front-end application layer and the rear-end data layer, and the front-end application layer combines the feedback data synchronously with the market data acquired by the front-end to perform real-time data analysis processing after transmitting the data acquired by the front-end to the rear-end to perform analysis and calculation, thereby realizing orderly communication of the front-end and the rear-end of the operation product data and ensuring reasonable supervision of the whole life cycle of the operation product.
Description
Technical Field
The invention relates to the technical field of information specially suitable for finance and business management, in particular to a supply chain bottom intelligent service system.
Background
The supply chain pain point is in the aspects of risk management and flow management and efficiency management, and the risks in the aspects of flow management and efficiency management are expressed in that participants relate to a plurality of institutions such as a bottom asset manager, a dealer, a law house, a bank, a trading place and the like, and meanwhile, the bottom asset quantity is large, the workload such as asset screening, auditing, asset transfer and the like is large, and errors are easy to occur; data are scattered on all the participants, and data association and cross verification cannot be effectively realized. For a supply chain, if the product cannot be managed in full life cycle, the rest of market products related to the product are affected, wherein the biggest impact is the collapse of the operation data information.
Disclosure of Invention
The invention aims to provide a supply chain bottom intelligent service system, which solves the technical problems of disordered flow and lower supervision accuracy of product operation supervision in supply chain bottom service in the prior art by erecting a front-end application layer and a rear-end data layer and matching data of the front-end application layer and the rear-end data layer.
According to one aspect of the present invention, there is provided a supply chain bottom intelligent service system, comprising a back-end data layer, a front-end application layer in communication with the back-end data layer; the back-end data layer comprises an operation data acquisition module, a standard analysis module and a checking module; the front-end application layer comprises a product information checking module and a market investigation data analysis module; the back-end data layer receives data information from the front-end application layer and feeds back analysis processing results to the front-end application layer; the operation data acquisition module is internally provided with a data sensing unit and a data acquisition unit which is in wireless data connection with the data sensing unit; the data sensing unit transmits the received data information to the data acquisition unit to complete data collection; and a calculation and analysis unit is arranged in the standard analysis module, and the calculation and analysis unit calculates and analyzes the acquired data information after acquiring the data information of the data acquisition module and the front-end application layer.
In some embodiments, a data storage subunit and a data transmission subunit in data communication with the data storage subunit are disposed within the data acquisition unit.
In some embodiments, a data output subunit is further disposed in the standard analysis module, and the data output subunit transmits the data calculated and analyzed by the calculation and analysis unit.
In some embodiments, a data checking unit and a data storage unit which is in data communication with the data checking unit are arranged in the checking module; and the data checking unit receives the data information from the data output subunit to perform standard checking, wherein the standard is a product checking standard preset by enterprises.
In some embodiments, the product information checking module includes a product data acquisition unit, and an information review unit in data communication with the product data acquisition unit; and the information rechecking unit receives the market product information data of the product data acquisition unit and then performs rechecking analysis by combining with market product standards formulated by enterprises.
In some embodiments, the market research data analysis module includes a data staging unit, and an analysis unit in data communication with the data staging unit.
In some embodiments, the data temporary storage unit is provided with a primary storage subunit, a secondary storage subunit and a tertiary storage subunit.
In some embodiments, a primary analysis subunit, a secondary analysis subunit, and a tertiary analysis subunit are disposed within the analysis unit; the primary analysis subunit, the secondary analysis subunit and the tertiary analysis subunit respectively and correspondingly receive and analyze the primary storage subunit, the secondary storage subunit and the tertiary storage subunit.
Compared with the prior art, the invention has the following advantages: the system of the invention is provided with the front-end application layer and the rear-end data layer, and the front-end application layer combines the feedback data synchronously with the market data acquired by the front-end to perform real-time data analysis processing after transmitting the data acquired by the front-end to the rear-end to perform analysis and calculation, thereby realizing orderly communication of the front-end and the rear-end of the operation product data and ensuring reasonable supervision of the whole life cycle of the operation product.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system overall schematic of some embodiments of the invention;
FIG. 2 is a front end application layer schematic diagram of some embodiments of the invention;
FIG. 3 is a back-end data layer schematic diagram of some embodiments of the invention;
FIG. 4 is a schematic diagram of an operational data acquisition module according to some embodiments of the present invention;
FIG. 5 is a schematic diagram of a standard analysis module according to some embodiments of the invention;
FIG. 6 is a schematic diagram of an audit module according to some embodiments of the present invention;
FIG. 7 is a schematic diagram of a product information verification module according to some embodiments of the invention;
FIG. 8 is a schematic diagram of a market research data analysis module according to some embodiments of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The present embodiment provides a supply chain bottom intelligent service system that is already in the testing phase and is put into use by some intelligent service providers, as described below in connection with fig. 1-8.
FIG. 1 is a supply chain bottom intelligent service system that enables sensing, collecting, processing, analyzing and applying production operation data of an energy enterprise. Meanwhile, data support is provided for the services of each link of the supply chain, and powerful guarantee is provided for the services of each link of the material supply chain.
Example 1
First, the present embodiment provides a front-end application layer including a back-end data layer in data communication with the back-end data layer. In order to improve the speed of data communication transmission and avoid data transmission errors, in this embodiment, a wireless data communication mode is adopted.
The back-end data layer comprises an operation data acquisition module, a standard analysis module and an inspection module. The front-end application layer comprises a product information checking module and a market investigation data analysis module. The back-end data layer receives the data information from the front-end application layer and feeds back the analysis processing result to the front-end application layer. In order to ensure the reasonable supply chain flow and timely supervision of abnormal data, the embodiment directly communicates the front end layer and the rear end layer, spans the middle data layer or the middle service layer, and can realize the direct data transmission when the auxiliary analysis and judgment are needed by utilizing the rear end data after the data acquisition and analysis of the front end, thereby avoiding the data transmission delay caused by the rest layers and even the redundant condition of the data layers.
Further, a data sensing unit and a data acquisition unit which is in wireless data connection with the data sensing unit are arranged in the operation data acquisition module; the data sensing unit transmits the received data information to the data acquisition unit to complete data collection. The data information received by the data sensing unit is related data information of the local market, for example, the number of suppliers of the local energy enterprise, material purchasing cost information of the local energy enterprise, and the like. After the data information is received, the data information is wirelessly transmitted to a data acquisition unit, a data storage subunit and a data transmission subunit which is in data communication with the data storage subunit are arranged in the data acquisition unit, the data storage subunit performs data record labeling, and particularly, the data is stored and classified, and the data transmission subunit is prepared for subsequent calling comparison. The data processing method is an algorithm, a system and the like which can realize the result in the prior art.
Furthermore, a calculation and analysis unit is arranged in the standard analysis module, and after the calculation and analysis unit acquires the data information of the data acquisition module and the front-end application layer, calculation and analysis are performed on the acquired data information. In this implementation, the process of calculation and analysis is: and comparing the acquired data of the front end layer with the acquired data of the back end layer, obtaining data latest information through comparison of data differences, and taking the latest data information as a judgment standard of the front end application layer. For example, the data acquisition module acquires the types of the cooperative products and the information of the cooperative sales market of the local energy enterprise suppliers, the information is transmitted to the calculation and analysis unit, meanwhile, the front-end application layer can transmit the types of the cooperative products and the information of the cooperative sales items of the latest energy enterprise suppliers nationwide to the calculation and analysis unit, at the moment, the calculation and analysis unit can combine the two information to perform data difference comparison, find different types of the cooperative products and different information of the market, and further transmit the data calculated and analyzed by the calculation and analysis unit through the data output subunit in the standard analysis module. And then, difference information feedback is carried out, and the difference information feedback is fed back to a front-end application layer to adjust and optimize supply chain services.
Still further, a data checking unit and a data storage unit in data communication with the data checking unit are arranged in the auditing module. The data checking unit receives the data information from the data output subunit to perform standard checking, wherein the standard is a product checking standard preset by enterprises. Specifically, the data is compared with standard data, after comparison, qualified data are transmitted, and unqualified feedback is obtained again. For example, the back-end data layer acquires a series of data, the data is checked by the data checking unit, in the checking process, the data is checked by comparing with the preset standard of the enterprise, for example, the data is the purchasing cost and the purchasing quantity, the data is compared with the purchasing standard quantity corresponding to the same purchasing cost preset by the enterprise, the data is unqualified when smaller than the standard quantity, and the data is qualified when larger than or equal to the standard quantity.
Example 2
This example only describes the differences from example 1, and the remaining points of identity are not described. The product information checking module comprises a product data acquisition unit and an information rechecking unit which is in data communication with the product data acquisition unit; the information rechecking unit receives the market product information data of the product data acquisition unit and then performs rechecking analysis by combining with market product standards formulated by enterprises.
The market research data analysis module comprises a data temporary storage unit and an analysis unit in data communication with the data temporary storage unit.
The data temporary storage unit is internally provided with a primary storage subunit, a secondary storage subunit and a tertiary storage subunit. The analysis unit is internally provided with a primary analysis subunit, a secondary analysis subunit and a tertiary analysis subunit; the first-level analysis subunit, the second-level analysis subunit and the third-level analysis subunit respectively and correspondingly receive and analyze the data information from the first-level storage subunit, the second-level storage subunit and the third-level storage subunit.
The analysis methods and analysis accuracy of the first-stage analysis subunit, the second-stage analysis subunit and the third-stage analysis subunit are the same, and in this embodiment, the first, second and third stages are simultaneously analyzed, or may be separately analyzed, or may be analyzed by only one stage.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, 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 specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (8)
1. The intelligent service system of the supply chain bottom layer is characterized by comprising a back-end data layer and a front-end application layer communicated with the back-end data layer; the back-end data layer comprises an operation data acquisition module, a standard analysis module and a checking module; the front-end application layer comprises a product information checking module and a market investigation data analysis module; the back-end data layer receives data information from the front-end application layer and feeds back analysis processing results to the front-end application layer; the operation data acquisition module is internally provided with a data sensing unit and a data acquisition unit which is in wireless data connection with the data sensing unit; the data sensing unit transmits the received data information to the data acquisition unit to complete data collection; and a calculation and analysis unit is arranged in the standard analysis module, and the calculation and analysis unit calculates and analyzes the acquired data information after acquiring the data information of the data acquisition module and the front-end application layer.
2. The supply chain bottom intelligent service system according to claim 1, wherein the data acquisition unit is provided with a data storage subunit and a data transmission subunit in data communication with the data storage subunit.
3. The supply chain bottom intelligent service system according to claim 1, wherein the standard analysis module is further provided with a data output subunit, and the data output subunit transmits the data calculated and analyzed by the calculation and analysis unit.
4. The supply chain bottom intelligent service system according to claim 2, wherein a data checking unit and a data storage unit in data communication with the data checking unit are arranged in the auditing module; and the data checking unit receives the data information from the data output subunit to perform standard checking, wherein the standard is a product checking standard preset by enterprises.
5. The supply chain bottom intelligent service system according to claim 1, wherein the product information checking module comprises a product data acquisition unit and an information review unit in data communication with the product data acquisition unit; and the information rechecking unit receives the market product information data of the product data acquisition unit and then performs rechecking analysis by combining with market product standards formulated by enterprises.
6. The supply chain bottom intelligent service system of claim 1, wherein the market research data analysis module comprises a data staging unit and an analysis unit in data communication with the data staging unit.
7. The supply chain bottom intelligent service system according to claim 6, wherein the data temporary storage unit is provided with a primary storage subunit, a secondary storage subunit and a tertiary storage subunit.
8. The supply chain bottom intelligent service system according to claim 7, wherein the analysis unit is provided with a primary analysis subunit, a secondary analysis subunit and a tertiary analysis subunit; the primary analysis subunit, the secondary analysis subunit and the tertiary analysis subunit respectively and correspondingly receive and analyze the data information from the primary storage subunit, the secondary storage subunit and the tertiary storage subunit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311422530.0A CN117151439A (en) | 2023-10-31 | 2023-10-31 | Supply chain bottom intelligent service system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311422530.0A CN117151439A (en) | 2023-10-31 | 2023-10-31 | Supply chain bottom intelligent service system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117151439A true CN117151439A (en) | 2023-12-01 |
Family
ID=88899179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311422530.0A Pending CN117151439A (en) | 2023-10-31 | 2023-10-31 | Supply chain bottom intelligent service system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117151439A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138601A1 (en) * | 2011-11-24 | 2013-05-30 | Tata Consultancy Services Limited | System and method for data aggregation, integration and analyses in a multi-dimensional database |
| CN105976109A (en) * | 2016-05-05 | 2016-09-28 | 云神科技投资股份有限公司 | Intelligent auditing method and system based on big data |
| CN109657944A (en) * | 2018-12-06 | 2019-04-19 | 新疆麦肯锡信息科技有限公司 | Enterprise's Life cycle intelligent Service system |
| CN111882235A (en) * | 2020-08-03 | 2020-11-03 | 浪潮云信息技术股份公司 | Gridding enterprise management service monitoring method |
| CN112766671A (en) * | 2021-01-07 | 2021-05-07 | 北京码牛科技有限公司 | Wisdom community data monitoring system |
-
2023
- 2023-10-31 CN CN202311422530.0A patent/CN117151439A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130138601A1 (en) * | 2011-11-24 | 2013-05-30 | Tata Consultancy Services Limited | System and method for data aggregation, integration and analyses in a multi-dimensional database |
| CN105976109A (en) * | 2016-05-05 | 2016-09-28 | 云神科技投资股份有限公司 | Intelligent auditing method and system based on big data |
| CN109657944A (en) * | 2018-12-06 | 2019-04-19 | 新疆麦肯锡信息科技有限公司 | Enterprise's Life cycle intelligent Service system |
| CN111882235A (en) * | 2020-08-03 | 2020-11-03 | 浪潮云信息技术股份公司 | Gridding enterprise management service monitoring method |
| CN112766671A (en) * | 2021-01-07 | 2021-05-07 | 北京码牛科技有限公司 | Wisdom community data monitoring system |
Non-Patent Citations (1)
| Title |
|---|
| 赵楚莹;: "基于数据中台和能力组件的网络调度平台设计和实现", 现代信息科技, no. 09 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107123047B (en) | Data acquisition system based on bond transaction and data acquisition method thereof | |
| CN110990474A (en) | Regional industry image analysis method and device | |
| CN107025601A (en) | Verification of data method, device and equipment | |
| CN113242159B (en) | Application access relation determining method and device | |
| CN106127532A (en) | A kind of commodity price dynamic monitoring based on the Internet and inquiry service | |
| CN113111095B (en) | Intelligent information management method and system | |
| CN109102176A (en) | A kind of trade finance appraisal procedure and device based on block chain | |
| CN114880312B (en) | Flexibly-set application system service data auditing method | |
| CN114418714A (en) | 5G base station operation and maintenance management system and method | |
| CN112668303A (en) | Data processing method, device, equipment and storage medium | |
| CN108665198B (en) | Method and device for performing assessment in service link | |
| CN111061792A (en) | Financial service management system | |
| CN113628024A (en) | Financial data intelligent auditing system and method based on big data platform system | |
| CN112445787A (en) | Data auditing method and system based on real-time service | |
| CN117151439A (en) | Supply chain bottom intelligent service system | |
| CN109544179B (en) | Operation supporting system based on important product traceability data service | |
| CN116644136A (en) | Data acquisition method, device, equipment and medium for increment and full data | |
| CN110597899B (en) | Project expense management method and system | |
| CN111311033B (en) | Electricity selling company electric quantity deviation control system based on electric quantity mutual insurance evaluation | |
| KR20170034527A (en) | How to analyze price information of competitors using web logs | |
| CN112967035A (en) | Cross-database service system account tracking/evaluation method and system | |
| CN110070274A (en) | A kind of intelligence manufacture maturity assessment system | |
| CN117172721B (en) | Data flow supervision early warning method and system for financing service | |
| CN110163694A (en) | A kind of electric business system and method based on big data | |
| CN112653768B (en) | Social server-end-simulating structure |
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 |