CN110909235A - Enterprise innovation expert intelligence library platform based on big data - Google Patents
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Abstract
The invention discloses an enterprise innovation expert intelligence library platform based on big data, which comprises an enterprise one-to-one coach system, an expert system and a central server, wherein the enterprise one-to-one coach system is used for receiving an expert consultation request sent by an enterprise user terminal and an expert list sent by the expert system, the expert system is used for receiving the expert consultation request, the central server acquires scientific and technological innovation resource information or national policy information requested by a client according to an information acquisition end to generate an intelligence library service module, the intelligence library service module pushes the scientific and technological innovation resource information or the national policy to the client, and the intelligence library service module comprises an information display and push unit, an expert library unit and a transaction management unit. The invention provides a one-to-one enterprise coach platform and service for enterprise users, and solves a series of problems in enterprise growth and transformation for enterprises by means of a sophisticated expert consultant team and strong professional service resources, thereby promoting the enterprise to realize cross-over development in all directions.
Description
Technical Field
The invention relates to an enterprise innovation expert intelligence library platform based on big data.
Background
At present, scientific and technological innovation is the direction of Chinese development in recent years, and the scientific and technological innovation is more and more emphasized by the current society. Nowadays, with the rapid development of informatization and networking, more and more scientific and technical information is published, collected and integrated by selecting a network resource service platform system. The informatization and networking of the science and technology service platform become a necessary way for researching the science and technology development of various city-level regions and the important problems, the important layout and the priority field of the science and technology for promoting the national economy and social development, and the informatization and networking of the science and technology service platform are also important ways for collecting and integrating information. However, the existing scientific and technological innovation service platform has short creation time, insufficiently sound service functions and insufficiently built information platform framework, so that scientific and technological information, advanced equipment and the like cannot be sufficiently shared in time, and meanwhile, due to the fact that part of enterprises and public institutions and individuals cannot obtain scientific and technological strategic decisions and the help of professionals in scientific and technological finance departments, the waste of limited social resources is caused, and a scientific and technological innovation service platform with perfect functions, informationization and strong timeliness is urgently needed.
Disclosure of Invention
The invention aims to provide an enterprise innovation expert intelligence library platform based on big data to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
an enterprise innovation expert intelligence library platform based on big data comprises an enterprise one-to-one coach system, an expert system and a central server; the enterprise one-to-one coach system is used for receiving an expert consultation request sent by an enterprise user terminal and an expert list sent by the expert system so as to determine an expert for solving a consultation problem in the expert consultation request, then sending the information of the expert to the expert system, receiving a consultation problem reply of the expert sent by the expert system, and finally sending the consultation problem reply to the enterprise user terminal; the expert system is used for receiving the expert consultation request, generating an expert list according to the expert consultation request, sending the expert list to the enterprise one-to-one coach system, receiving the expert information determined by the enterprise one-to-one coach system, obtaining consultation question answers of the experts from the experts, and sending the consultation question answers to the enterprise one-to-one coach system; the central server generates an intelligent library service module according to scientific and technological innovation resource information or national policy information requested by an information acquisition end, the intelligent library service module pushes the scientific and technological innovation resource information or the national policy to a client, the intelligent library service module comprises an information display and push unit, an expert library unit and a transaction management unit, the client comprises a first requirement client for expressing specific requirements in the expert library unit, a second expert client for solving the specific requirements and a third transaction management client for matching the supply relationship between the first requirement client and the second expert client, the third transaction management client generates intention matching lists according to the specific requirements expressed by the first requirement client and the specific capacity displayed by the second expert client, the intention matching lists respectively display specific information of both parties to the first requirement client and the second expert client, acquiring a 'yes' or 'no' determination instruction of the first requirement client and the second expert client; if the intention matching list obtains a 'no' determination instruction of the first requirement client or the second expert client, continuously and circularly executing a third customer integration step to generate an intention matching list II; if the intention matching sheet obtains a 'yes' determination instruction of the first requirement client and the second expert client, generating a cooperation editor, wherein the cooperation editor comprises a contract editing unit and a fund account unit; and the first requirement client and the second expert client regulate the exchange information between the specific requirements and the specific capabilities of the two parties through the cooperation editor.
Preferably, the enterprise one-to-one coach system is further configured to audit the expert consultation request to determine whether the consultation problem requires expert consultation, and send the expert list to the enterprise user terminal, so that the enterprise user can select an expert from the expert list.
Preferably, the business one-to-one trainer system comprises: the system comprises a message receiving module, an expert confirmation module and a message sending module; the message receiving module is used for receiving the expert consultation request sent by the enterprise user terminal, receiving the expert list sent by the expert system and receiving the consultation question reply of the expert; the expert determination module is used for determining the expert based on the expert consultation request and the expert list; the message sending module is used for sending the information of the expert to the expert system and sending the consultation question reply of the expert to the enterprise user terminal.
Preferably, the business-to-one trainer system further comprises: the system comprises a verification module and an expert list sending module; the verification module is used for auditing the expert consultation request so as to judge whether the consultation problem needs expert consultation or not; the expert list sending module is used for sending the expert list to the enterprise user terminal so that an enterprise user corresponding to the enterprise user terminal can select the expert in the expert list.
Preferably, the expert system comprises: the device comprises a request receiving module, a list generating module and an information sending module; the request receiving module is used for receiving the consultation request of the experts and receiving the determined information of the experts; the list generating module is used for generating the expert list according to the expert consultation request and sending the expert list to the enterprise one-to-one coach system; the information sending module is used for sending the consultation question responses of the experts to the enterprise one-to-one coach system.
Preferably, the contract editing unit stores exchange information between specific requirements and specific capabilities, the fund account unit is an account for storing prepaid funds, and the exchange information of the contract editing unit and the prepaid funds of the fund account unit cannot be freely handled by the first requirement client and the second expert client.
Preferably, the scientific and technological innovation resource information or the national policy information includes policy information, market information, talent information, fund information and management information published by government authorities.
Preferably, the information display and push unit comprises an information classification storage end, an information acquisition end, an information push end and an information display end, the information classification storage end classifies and stores the scientific and technological innovation resource information or the national policy information acquired by the information acquisition end, the information push end pushes the information according to the request of the client, and the information display end is used for displaying the scientific and technological innovation resource information which is stored in a classification mode.
Compared with the prior art, the invention has the following beneficial effects: the invention receives the expert consultation request of the enterprise user through the enterprise intelligent library cloud service platform to obtain an expert list so as to determine the experts for solving the consultation problems in the expert consultation request, obtains consultation problem responses from the experts, and then sends the consultation problem responses to the enterprise user, thereby providing a one-to-one enterprise coach platform and service for the enterprise user, solving a series of problems in enterprise growth and transformation by depending on a sophisticated expert consultant team and strong professional service resources, comprehensively promoting the enterprise to realize crossing development, providing one-stop policy information issuing service, conveniently, accurately and quickly establishing resource cooperation and integration between the client and the client, quickly matching a second expert client with demand solving capability according to the specific demand of a first demand client, and sufficiently sharing the resources in time, the system and the method have the advantages that part of enterprises or individuals are helped by professionals with scientific and technological innovation, scientific and technological resources are efficiently configured and effectively utilized, and technical communication among enterprises is realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, which illustrates an enterprise innovation expert intelligence library platform based on big data, comprising an enterprise one-to-one trainer system, an expert system and a central server; the enterprise one-to-one coach system is used for receiving an expert consultation request sent by an enterprise user terminal and an expert list sent by the expert system so as to determine an expert for solving a consultation problem in the expert consultation request, then sending the information of the expert to the expert system, receiving a consultation problem reply of the expert sent by the expert system, and finally sending the consultation problem reply to the enterprise user terminal; the expert system is used for receiving the expert consultation request, generating an expert list according to the expert consultation request, sending the expert list to the enterprise one-to-one coach system, receiving the expert information determined by the enterprise one-to-one coach system, obtaining consultation question answers of the experts from the experts, and sending the consultation question answers to the enterprise one-to-one coach system; the central server generates an intelligent library service module according to scientific and technological innovation resource information or national policy information requested by an information acquisition end, the intelligent library service module pushes the scientific and technological innovation resource information or the national policy to a client, the intelligent library service module comprises an information display and push unit, an expert library unit and a transaction management unit, the client comprises a first requirement client for expressing specific requirements in the expert library unit, a second expert client for solving the specific requirements and a third transaction management client for matching the supply relationship between the first requirement client and the second expert client, the third transaction management client generates intention matching lists according to the specific requirements expressed by the first requirement client and the specific capacity displayed by the second expert client, the intention matching lists respectively display specific information of both parties to the first requirement client and the second expert client, acquiring a 'yes' or 'no' determination instruction of the first requirement client and the second expert client; if the intention matching list obtains a 'no' determination instruction of the first requirement client or the second expert client, continuously and circularly executing a third customer integration step to generate an intention matching list II; if the intention matching sheet obtains a 'yes' determination instruction of the first requirement client and the second expert client, generating a cooperation editor, wherein the cooperation editor comprises a contract editing unit and a fund account unit; and the first requirement client and the second expert client regulate the exchange information between the specific requirements and the specific capabilities of the two parties through the cooperation editor.
The enterprise one-to-one coach system is further used for auditing the expert consultation request to judge whether the consultation problem needs expert consultation or not, and sending the expert list to the enterprise user terminal so that an enterprise user can select an expert from the expert list.
The business one-to-one trainer system comprises: the system comprises a message receiving module, an expert confirmation module and a message sending module; the message receiving module is used for receiving the expert consultation request sent by the enterprise user terminal, receiving the expert list sent by the expert system and receiving the consultation question reply of the expert; the expert determination module is used for determining the expert based on the expert consultation request and the expert list; the message sending module is used for sending the information of the expert to the expert system and sending the consultation question reply of the expert to the enterprise user terminal.
The business one-to-one trainer system further comprises: the system comprises a verification module and an expert list sending module; the verification module is used for auditing the expert consultation request so as to judge whether the consultation problem needs expert consultation or not; the expert list sending module is used for sending the expert list to the enterprise user terminal so that an enterprise user corresponding to the enterprise user terminal can select the expert in the expert list.
The expert system includes: the device comprises a request receiving module, a list generating module and an information sending module; the request receiving module is used for receiving the consultation request of the experts and receiving the determined information of the experts; the list generating module is used for generating the expert list according to the expert consultation request and sending the expert list to the enterprise one-to-one coach system; the information sending module is used for sending the consultation question responses of the experts to the enterprise one-to-one coach system.
The contract editing unit is used for storing exchange information between specific requirements and specific capabilities, the fund account unit is used for storing prepaid funds, and the exchange information of the contract editing unit and the prepaid funds of the fund account unit cannot be freely handled by the first requirement client and the second expert client.
The scientific and technological innovation resource information or the national policy information comprises policy information, market information, talent information, fund information and management information published by government departments.
The information display and push unit comprises an information classification storage end, an information acquisition end, an information push end and an information display end, the information classification storage end classifies and stores the scientific and technological innovation resource information or the national policy information acquired by the information acquisition end, the information push end pushes the information according to the request of the client, and the information display end is used for displaying the scientific and technological innovation resource information which is stored in a classification mode.
The enterprise innovation expert intelligence base platform is provided with an intelligence base expert base, the intelligence base expert base is an intelligence aggregate which is made by an economic scientist, an industry research institution, an industry senior citizen and the like together, is classified according to the research field, can be sequenced according to the Pinyin sequence of the first letter of name, and specifically comprises three parts: the system comprises an expert consultant group consisting of experts of all original knowledge owners and famous entrepreneurs, third-party professional institutions and related functional departments. When an entrepreneur encounters problems in enterprise development and management (such as macroscopic economy prediction, government policy matching, industry chain development trend grasping, enterprise key strategy making, enterprise management scheme making, industrial design, lean production, quality control, management consultation, brand planning, media publicity, public relations, financial insurance, legal services, financial management, intellectual property protection and the like), the entrepreneur can request an expert to consult enterprise problems through an enterprise intelligence library cloud service platform.
The enterprise innovation expert intelligence library platform comprises an enterprise one-to-one coach system and an expert system; when an enterprise user encounters problems in enterprise development and management, the enterprise user sends an expert consultation request to an enterprise wisdom base cloud service platform through an enterprise user terminal, an enterprise one-to-one coach system receives the request and sends the request to an expert system, and after receiving the request, the expert system generates an expert list based on the request and a wisdom base expert base and sends the expert list to an enterprise family one-to-one coach system; then, the one-to-one training system of the enterprise determines experts capable of solving the consultation problem based on the expert consultation request and the expert list, and sends the information of the experts to the expert system; the expert system obtains the response of the consultation questions from the experts and sends the response to the one-to-one coach system of the entrepreneur, and the one-to-one coach system of the entrepreneur sends the response of the consultation questions to the enterprise user terminal.
The expert consultation request comprises enterprise information, enterprise scale information, enterprise family information, consultation problem information and the like; when the expert system generates the expert list, a keyword matching method is preferably adopted, for example, keywords corresponding to enterprise problem information are extracted from information provided by an expert consultation request, screening is carried out in an intelligent database according to the extracted keywords, then the expert list corresponding to the enterprise problem information is generated, and a mapping algorithm is adopted to automatically generate the expert list; the expert provides one-to-one enterprise coach service for the enterprise through the network by utilizing the expert system according to factors such as own specialty, time, space and the like, can perform full value chain diagnosis service for enterprise users, finds problems existing in the operation process of the enterprise, judges the management and current situation level of the enterprise, and provides a diagnosis report or a system project recommendation; the lean foundation of enterprise users, the optimization of the full-value chain business process, the informatization planning and demand analysis and the implementation of a change scheme can be promoted; a series of curriculum training may be performed for enterprise users.
In the embodiment, the enterprise innovation expert intelligence library platform receives the expert consultation request of the enterprise user to obtain the expert list, so as to determine the experts for solving the consultation problems in the expert consultation request, obtain the consultation problem responses from the experts, and send the consultation problem responses to the enterprise user, thereby providing a one-to-one enterprise family education platform for the enterprise user, and solving a series of problems in enterprise growth and transformation for the enterprise by means of a sophisticated expert consultant team and strong professional service resources, thereby comprehensively promoting the enterprise to realize the spanning development.
Based on the above embodiment, the entrepreneur one-to-one coach system is further used for auditing the consultation request of the expert to judge whether the consultation problem needs the consultation of the expert; and sending the expert list to the enterprise user terminal so that the enterprise user can select the expert in the expert list.
Specifically, part of the expert consultation requests may not meet the requirement of the expert consultation, and for the part of the requests, the one-to-one coach system of an enterprise can be used for preliminary examination, so that the requests which do not meet the consultation requirement are eliminated, and the resources of the platform are saved; meanwhile, after the expert list is received by the one-to-one coach system of the enterprise, the expert list is sent to the enterprise user terminal in a recommendation mode, and the enterprise user selects experts in the expert list, so that the enterprise user has more independent options for the experts, and the satisfaction degree of the enterprise user in using the enterprise wisdom library cloud service platform is improved.
Finally, the invention receives the expert consultation request of the enterprise user through the enterprise wisdom cloud service platform to obtain the expert list so as to determine the experts for solving the consultation problems in the expert consultation request, obtains the consultation problem responses from the experts, and then sends the consultation problem responses to the enterprise user, thereby providing a one-to-one enterprise coach platform and service for the enterprise user, and relying on a sophisticated expert consultant team and strong professional service resources to solve a series of problems in enterprise growth and transformation for the enterprise, comprehensively promoting the enterprise to realize crossing development, providing one-stop policy information issuing service, conveniently, accurately and quickly establishing resource cooperation and integration between the client and the client, quickly matching a second expert client with demand solving capability according to the specific demand of a first demand client, and sufficiently sharing the resources in time, the system and the method have the advantages that part of enterprises or individuals are helped by professionals with scientific and technological innovation, scientific and technological resources are efficiently configured and effectively utilized, and technical communication among enterprises is realized.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides an enterprise innovation expert intelligence base platform based on big data which characterized in that: the system comprises an enterprise one-to-one coach system, an expert system and a central server; the enterprise one-to-one coach system is used for receiving an expert consultation request sent by an enterprise user terminal and an expert list sent by the expert system so as to determine an expert for solving a consultation problem in the expert consultation request, then sending the information of the expert to the expert system, receiving a consultation problem reply of the expert sent by the expert system, and finally sending the consultation problem reply to the enterprise user terminal; the expert system is used for receiving the expert consultation request, generating an expert list according to the expert consultation request, sending the expert list to the enterprise one-to-one coach system, receiving the expert information determined by the enterprise one-to-one coach system, obtaining consultation question answers of the experts from the experts, and sending the consultation question answers to the enterprise one-to-one coach system; the central server generates an intelligent library service module according to scientific and technological innovation resource information or national policy information requested by an information acquisition end, the intelligent library service module pushes the scientific and technological innovation resource information or the national policy to a client, the intelligent library service module comprises an information display and push unit, an expert library unit and a transaction management unit, the client comprises a first requirement client for expressing specific requirements in the expert library unit, a second expert client for solving the specific requirements and a third transaction management client for matching the supply relationship between the first requirement client and the second expert client, the third transaction management client generates intention matching lists according to the specific requirements expressed by the first requirement client and the specific capacity displayed by the second expert client, the intention matching lists respectively display specific information of both parties to the first requirement client and the second expert client, acquiring a 'yes' or 'no' determination instruction of the first requirement client and the second expert client; if the intention matching list obtains a 'no' determination instruction of the first requirement client or the second expert client, continuously and circularly executing a third customer integration step to generate an intention matching list II; if the intention matching sheet obtains a 'yes' determination instruction of the first requirement client and the second expert client, generating a cooperation editor, wherein the cooperation editor comprises a contract editing unit and a fund account unit; and the first requirement client and the second expert client regulate the exchange information between the specific requirements and the specific capabilities of the two parties through the cooperation editor.
2. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the enterprise one-to-one coach system is further used for auditing the expert consultation request to judge whether the consultation problem needs expert consultation or not, and sending the expert list to the enterprise user terminal so that an enterprise user can select an expert from the expert list.
3. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the business one-to-one trainer system comprises: the system comprises a message receiving module, an expert confirmation module and a message sending module; the message receiving module is used for receiving the expert consultation request sent by the enterprise user terminal, receiving the expert list sent by the expert system and receiving the consultation question reply of the expert; the expert determination module is used for determining the expert based on the expert consultation request and the expert list; the message sending module is used for sending the information of the expert to the expert system and sending the consultation question reply of the expert to the enterprise user terminal.
4. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the business one-to-one trainer system further comprises: the system comprises a verification module and an expert list sending module; the verification module is used for auditing the expert consultation request so as to judge whether the consultation problem needs expert consultation or not; the expert list sending module is used for sending the expert list to the enterprise user terminal so that an enterprise user corresponding to the enterprise user terminal can select the expert in the expert list.
5. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the expert system includes: the device comprises a request receiving module, a list generating module and an information sending module; the request receiving module is used for receiving the consultation request of the experts and receiving the determined information of the experts; the list generating module is used for generating the expert list according to the expert consultation request and sending the expert list to the enterprise one-to-one coach system; the information sending module is used for sending the consultation question responses of the experts to the enterprise one-to-one coach system.
6. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the contract editing unit is used for storing exchange information between specific requirements and specific capabilities, the fund account unit is used for storing prepaid funds, and the exchange information of the contract editing unit and the prepaid funds of the fund account unit cannot be freely handled by the first requirement client and the second expert client.
7. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the scientific and technological innovation resource information or the national policy information comprises policy information, market information, talent information, fund information and management information published by government departments.
8. The big data-based enterprise innovation expert intelligence platform as recited in claim 1, wherein: the information display and push unit comprises an information classification storage end, an information acquisition end, an information push end and an information display end, the information classification storage end classifies and stores the scientific and technological innovation resource information or the national policy information acquired by the information acquisition end, the information push end pushes the information according to the request of the client, and the information display end is used for displaying the scientific and technological innovation resource information which is stored in a classification mode.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111985908A (en) * | 2020-09-04 | 2020-11-24 | 上海末本网络科技有限公司 | Shared cloud office platform |
CN113409010A (en) * | 2021-06-15 | 2021-09-17 | 南京河海科技有限公司 | Intelligent storehouse cloud system and processing terminal for growing river and lake |
CN115082269A (en) * | 2022-07-18 | 2022-09-20 | 华北理工大学 | Big data based teaching planning method and system |
WO2023084290A1 (en) * | 2021-11-12 | 2023-05-19 | Bagheri Hamed | Hamed smd: ai-based strategic management doctor for all |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150332405A1 (en) * | 2014-05-15 | 2015-11-19 | Healthcare Innovation and Technology Lab, Inc. | System and method for evaluating an idea with expert review over a collaborative platform |
CN108182532A (en) * | 2017-12-28 | 2018-06-19 | 广州市思库信息科技有限公司 | A kind of innovation think tank service platform |
CN109214619A (en) * | 2017-06-29 | 2019-01-15 | 格局商学教育科技(深圳)有限公司 | A kind of think tank of enterprise cloud service platform and the method for operation |
-
2019
- 2019-10-24 CN CN201911014383.7A patent/CN110909235A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150332405A1 (en) * | 2014-05-15 | 2015-11-19 | Healthcare Innovation and Technology Lab, Inc. | System and method for evaluating an idea with expert review over a collaborative platform |
CN109214619A (en) * | 2017-06-29 | 2019-01-15 | 格局商学教育科技(深圳)有限公司 | A kind of think tank of enterprise cloud service platform and the method for operation |
CN108182532A (en) * | 2017-12-28 | 2018-06-19 | 广州市思库信息科技有限公司 | A kind of innovation think tank service platform |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111985908A (en) * | 2020-09-04 | 2020-11-24 | 上海末本网络科技有限公司 | Shared cloud office platform |
CN113409010A (en) * | 2021-06-15 | 2021-09-17 | 南京河海科技有限公司 | Intelligent storehouse cloud system and processing terminal for growing river and lake |
WO2023084290A1 (en) * | 2021-11-12 | 2023-05-19 | Bagheri Hamed | Hamed smd: ai-based strategic management doctor for all |
CN115082269A (en) * | 2022-07-18 | 2022-09-20 | 华北理工大学 | Big data based teaching planning method and system |
CN115082269B (en) * | 2022-07-18 | 2023-01-20 | 华北理工大学 | Big data based teaching planning method and system |
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