CN115034695A - Real-time monitoring method for production and operation conditions of manufacturing and hatching enterprises based on big data - Google Patents
Real-time monitoring method for production and operation conditions of manufacturing and hatching enterprises based on big data Download PDFInfo
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Abstract
The invention belongs to the field of monitoring systems, and relates to a big data-based real-time monitoring method for production and operation conditions of manufacturing and incubating enterprises, which is characterized in that a resource collection system, a personnel storage system, a fund support system and an influence factor evaluation module are established in the method, wherein the resource collection system comprises a data resource unit, an opportunity collection unit and a symbiotic relationship unit, the data resource unit comprises a data collection module, a data analysis module and a data sharing module, and the opportunity collection unit comprises an opportunity integration module, an opportunity identification module and an opportunity utilization module; through carrying out contrastive analysis with the historical data of gathering with the data that the enterprise was typeeed in real time, can master the factor that influences enterprise production and operation situation in real time to according to enterprise production and operation situation pertinence provide the support in aspects such as fund, personnel, guarantee that hatching enterprise graduates smoothly in the planning time, improve the operating efficiency of enterprise incubator.
Description
Technical Field
The invention belongs to the field of monitoring systems for monitoring production and operation conditions of enterprises in the production process of the enterprises, and particularly relates to a method and a system for monitoring the production and operation conditions of an enterprise hatched in manufacturing industry in real time based on big data.
Background
The enterprise incubator is also called a high and new technology entrepreneurial service center in China, and provides a series of service support by providing physical space and infrastructure for newly entrepreneurial small and medium enterprises, thereby reducing entrepreneurial risk and entrepreneurial cost of entrepreneurials, improving entrepreneurial success rate, promoting scientific and technological achievement conversion and culturing successful enterprises and entrepreneurials.
At present, the number of incubators of national science and technology enterprises breaks through 5000, the number of incubators exceeds 20 ten thousand, and the number of accumulated graduation enterprises exceeds 16 ten thousand. Although the incubator of the Chinese scientific and technological enterprise develops rapidly, various problems that the incubation function is incomplete, the production and operation conditions of the incubation enterprise cannot be mastered in time, the enterprise is provided with comprehensive support in time and in a targeted manner and the like still exist, so that the graduation of the incubation enterprise is difficult, and the operation efficiency of the incubator of the enterprise is directly influenced.
Disclosure of Invention
The invention aims to provide a big data-based method for monitoring the production and operation conditions of an enterprise hatched in manufacturing industry in real time, which can master factors influencing the production and operation conditions of the enterprise in real time by comparing and analyzing collected historical data and data input by the enterprise in real time, provide support for the enterprise in aspects of fund, personnel and the like in a targeted manner according to the production and operation conditions of the enterprise, ensure that the hatched enterprise is successfully graduated within a planning time, and improve the operation efficiency of an enterprise incubator.
In order to achieve the purpose, the invention adopts the following technical scheme:
a big data-based real-time monitoring method for production and operation conditions of manufacturing and hatching enterprises comprises the following steps:
step S1, establishing a resource collection system, wherein the resource collection system comprises a data resource unit, an opportunistic gathering unit and a symbiotic relation unit; the data resource unit comprises a data collection module, a data analysis module and a data sharing module; the data collection module is used for collecting data of the existing manufacturing enterprises, wherein the data comprises product types, production data, research and development data, financial data, user data and employee information; the data analysis module is used for analyzing and establishing a relation chart between the production and operation conditions of the manufacturing enterprises and the products, the production lines, the personnel and the funds according to the data information of the existing manufacturing enterprises; the data sharing module is used for sharing the collected data information so that the personnel with the authority can obtain the related data information;
the opportunity set unit comprises an opportunity integration module, an opportunity identification module and an opportunity utilization module; the opportunity integration module is used for determining the relevance between different manufacturing enterprises and other enterprises by integrating and analyzing the data information collected by the existing data collection module, and analyzing and establishing an opportunity set relation network developed by the manufacturing enterprises; the opportunity identification module is used for identifying new development opportunities related to the input keywords according to the input keywords; the opportunity utilization module is used for searching relevant information of the main body associated with the new development opportunity;
the symbiotic relation unit is used for determining subjects which can benefit together and can provide complementary products or services for different manufacturing enterprises by integrating and analyzing the data information collected by the existing data collection module;
step S2, establishing a personnel storage system, wherein the personnel storage system stores personnel information of management type, research and development type, sales type and production type;
step S3, establishing a fund supporting system, wherein the fund supporting system comprises a supporting fund calculation module, a policy fund supporting module and a financing center; the supporting fund calculation module is used for analyzing and determining supporting funds injected into the enterprise according to the production and operation conditions of the enterprise, user data and industrial market potential; the policy fund support module is used for providing support items and service organization information which accord with the policy fund of the enterprise for the incubation enterprise; the financing center is used for providing financing modes and service organization information for the incubators according to the production and operation conditions of the incubators;
step S4, establishing an influence factor evaluation module, wherein the influence factor evaluation module is used for comparing the data information recorded in real time by the enterprise with a relational graph of the production and operation conditions of the manufacturing enterprise and each factor in the data analysis module to determine the factors influencing the production and operation of the enterprise;
step S5, the enterprise participates in the hatching application through the hatching management system, and the enterprise which passes the verification of the hatching application and successfully hatches and lands determines the production and management target according to the actual condition of the enterprise;
s6, determining the rationality of the production and operation target of the incubation enterprise by backstage management personnel through data of a data analysis module in the resource collection system, and taking the production and operation target as a subsequent production and operation target if the production and operation target is rational; if the production operation target established by the incubation enterprise exceeds the enterprise capacity through analysis, sending and adjusting the production operation target;
step S7, regularly filling production operation data in the incubation enterprise through an incubation management system, and comparing the production operation data with a production operation target by an evaluation module of the incubation management system to determine whether the production operation condition of the incubation enterprise reaches the standard or not; if the standard is reached, normal production and operation are carried out in the incubation enterprise; if the data do not reach the standard, sending the production operation data and the production operation target of the incubation enterprise to an influence factor evaluation module;
step S8, the influence factor evaluation module compares the production and operation data of the incubation enterprise, the production and operation target and the production and operation condition of the manufacturing enterprise in the data analysis module with the relationship chart of each factor to determine the factors influencing the production and operation of the enterprise; if the influencing factors are personnel, the manager, the research and development personnel or the production personnel with the highest relevance to the incubation enterprise are screened through a personnel storage system to enter the enterprise for assisting the support; if the influencing factor is the fund, the amount of the supporting fund which can be injected into the enterprise is calculated through the supporting fund calculation module according to the number of users of the enterprise to be hatched and the market potential of the main operation product, and meanwhile, the fund support is provided for the enterprise to be hatched through the policy fund support module and the financing center; if the influencing factor lies in sales, searching a main body of the product or service which can be complementarily sold with the product of the incubation enterprise through the symbiotic relation unit, establishing a connection between the incubation enterprise and the main body, and promoting the product by utilizing product complementarity; meanwhile, professional salesmen are provided for the incubation enterprises through a personnel storage system; if the influencing factor is the product, a new development opportunity and related subject information of the product are searched through the opportunity set unit.
Preferably, the hatching management system comprises a hatching application module, a project auditing module, a data entry module and an evaluation module; the hatching application module is used for an enterprise to apply for hatching; the project auditing module is used for auditing enterprises submitting hatching applications; the data entry module is used for entering production and operation targets and actual production and operation data information of the incubation enterprises; the evaluation module is used for evaluating the production and operation conditions of the incubation enterprises.
The invention also provides a production and operation condition real-time monitoring system of the manufacturing industry incubation enterprise based on big data, which comprises an incubation management system, and the system is improved by further comprising a resource collection system, a personnel storage system, a fund support system and an influence factor evaluation module; the hatching management system comprises a hatching application module, a project auditing module, a data entry module and an evaluation module; the hatching application module is used for an enterprise to perform hatching application; the project auditing module is used for auditing enterprises submitted to the incubation application; the data input module is used for inputting production and operation targets and actual production and operation data information of the incubation enterprises; the evaluation module is used for evaluating the production and operation conditions of the incubation enterprises;
the resource collection system comprises a data resource unit, an opportunistic gathering unit and a symbiotic relation unit; the data resource unit comprises a data collection module, a data analysis module and a data sharing module; the data collection module is used for collecting data of the existing manufacturing enterprises, wherein the data comprises product types, production data, research and development data, financial data, user data and employee information; the data analysis module is used for analyzing and establishing a relation chart between the production and operation conditions of the manufacturing enterprises and the products, the production lines, the personnel and the funds according to the data information of the existing manufacturing enterprises; the data sharing module is used for sharing the collected data information so that the personnel with the authority can obtain the related data information;
the opportunity set unit comprises an opportunity integration module, an opportunity identification module and an opportunity utilization module; the opportunity integration module is used for determining the relevance between different manufacturing enterprises and other enterprises by integrating and analyzing the data information collected by the existing data collection module, and analyzing and establishing an opportunity set relation network developed by the manufacturing enterprises; the opportunity identification module is used for identifying new development opportunities related to the input keywords according to the input keywords; the opportunity utilization module is used for searching relevant information of the main body associated with the new development opportunity;
the symbiotic relation unit is used for determining a main body which can provide complementary products or services for different manufacturing enterprises and can benefit together by integrating and analyzing the data information collected by the existing data collection module;
the personnel reservation system is used for storing professional personnel information of different types, including personnel information of management type, research and development type, sales type and production type;
the fund support system comprises a support fund calculation module, a policy fund support module and a financing center; the supporting fund calculation module is used for analyzing and determining supporting funds injected into the enterprise according to the production and operation conditions of the enterprise, user data and industrial market potential; the policy fund support module is used for providing support items and service organization information which accord with the policy fund of the enterprise for the incubation enterprise; the financing center is used for providing financing modes and service organization information for the incubators according to the production and operation conditions of the incubators;
and the influence factor evaluation module is used for comparing the data information input by the enterprise in real time with the relational graph of the production and operation condition of the manufacturing enterprise and each factor in the data analysis module to determine the factors influencing the production and operation of the enterprise.
The invention has the advantages and beneficial effects that:
(1) the monitoring system provided by the invention establishes the data resource unit, collects and analyzes the big data, can accurately analyze the factors influencing the production and operation conditions of the manufacturing enterprise by utilizing the existing big data, provides support for the enterprise in the aspects of fund, personnel and the like according to the factors influencing the production and operation conditions of the manufacturing enterprise, ensures that the incubation enterprise can be successfully graduated within the planning time, and improves the operation efficiency of the enterprise incubator.
(2) The monitoring system provided by the invention establishes the opportunistic unit which can provide a new development enterprise for the enterprise and help the enterprise to grow rapidly.
(3) The monitoring system provided by the invention establishes the symbiotic relation unit, and the symbiotic relation unit can provide main information which can benefit together for the enterprise and is complementary products or services, thereby effectively helping the incubation enterprise to develop the market.
(4) The monitoring system provided by the invention establishes the fund support system, so that the fund support system can quickly solve the fund problem in the startup process and help the enterprise to pass through difficulties.
(5) The monitoring method provided by the invention can master the production and operation conditions of enterprises in real time, provides all-directional and targeted help for the enterprises in the first time, helps the enterprises to grow rapidly, increases the operation speed in the incubator, and improves the incubation effect.
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 without limiting the invention in which:
fig. 1 is a structural block diagram of a system for monitoring production and operation conditions of an incubation enterprise in real time according to the present invention.
Reference numerals: the system comprises an incubation management system 1, a resource collection system 2, a personnel storage system 3, a fund support system 4, an influence factor evaluation module 5, an incubation application module 11, a project audit module 12, an evaluation module 13, a data resource unit 21, an opportunity collection unit 22, a symbiotic relationship unit 23, a supported fund calculation module 41, a policy fund support module 42, a financing center 43, a data collection module 211, a data analysis module 212, a data sharing module 213, an opportunity integration module 221, an opportunity identification module 222 and an opportunity utilization module 223.
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.
Example 1
As shown in fig. 1, the present invention provides a production and operation status real-time monitoring system for incubation enterprises in manufacturing industry based on big data, which comprises an incubation management system 1, a resource collection system 2, a personnel storage system 3, a fund support system 4, and an influence factor evaluation module 5; the hatching management system 1 comprises a hatching application module 11, a project auditing module 12, a data entry module 13 and an evaluation module 14; the hatching application module 11 is used for an enterprise to perform hatching application; the project auditing module 12 is used for auditing enterprises submitting incubation applications; the data input module 13 is used for inputting production and operation targets and actual production and operation data information of the incubation enterprises; the evaluation module 14 is used for evaluating the production and operation conditions of the incubation enterprises;
the resource collection system 2 comprises a data resource unit 21, an opportunistic gathering unit 22 and a symbiotic relation unit 23; the data resource unit 21 includes a data collection module 211, a data analysis module 212, and a data sharing module 213; the data collection module 211 is configured to collect data of an existing manufacturing enterprise, where the data includes product types, production data, research and development data, financial data, user data, and employee information; the data analysis module 212 is used for analyzing and establishing a relation chart between the production and operation conditions of the manufacturing enterprise and products, production lines, personnel and funds according to the data information of the existing manufacturing enterprise; the data sharing module 213 is configured to share the collected data information, so that a person with permission obtains related data information;
the opportunity set unit 22 comprises an opportunity integration module 221, an opportunity identification module 222 and an opportunity utilization module 223; the opportunity integration module 221 determines the relevance between different manufacturing enterprises and other enterprises by integrating and analyzing the data information collected by the existing data collection module, and analyzes and establishes an opportunity set relationship network developed by the manufacturing enterprises; an opportunity identification module 222, configured to identify a new development opportunity associated with the keyword according to the input keyword; an opportunity utilization module 223 for finding relevant information of the subject associated with the new opportunity for development;
the symbiotic relationship unit 23 is configured to determine a commonly benefitable subject capable of providing complementary products or services for different manufacturing enterprises by performing integration analysis on data information collected by the existing data collection module;
the personnel storage system 3 is used for storing professional personnel information of different types, including personnel information of management type, research and development type, sales type and production type;
the fund support system 4 comprises a support fund calculation module 41, a policy fund support module 42 and a financing center 43; the supporting fund calculation module 41 is used for analyzing and determining supporting fund injected into the enterprise according to the production and operation conditions of the enterprise, the user data and the industrial market potential; the policy fund support module 42 is configured to provide support items and service organization information meeting the policy fund of the enterprise for the incubation enterprise; the financing center 43 is used for providing financing modes and service organization information for the incubators according to the production and operation conditions of the incubators;
and the influence factor evaluation module 5 is used for comparing the data information recorded in real time by the enterprise with the relation chart of the production and operation conditions of the manufacturing enterprise and each factor in the data analysis module to determine the factor 5 influencing the production and operation of the enterprise.
Example 2
The invention provides a big data-based method for monitoring production and operation conditions of a manufacturing incubation enterprise in real time, which comprises the following steps:
step S1, establishing a resource collection system 2, wherein the resource collection system comprises a data resource unit 21, an opportunistic unit 22 and a symbiotic relation unit 23; the data resource unit 21 includes a data collection module 211, a data analysis module 212, and a data sharing module 213; the data collection module is used for collecting data of the existing manufacturing enterprises, wherein the data comprises product types, production data, research and development data, financial data, user data and employee information; the data analysis module is used for analyzing and establishing a relation chart between the production and operation conditions of the manufacturing enterprises and the products, the production lines, the personnel and the funds according to the data information of the existing manufacturing enterprises; the data sharing module is used for sharing the collected data information so that the personnel with the authority can obtain the related data information;
the opportunity integration unit 22 comprises an opportunity integration module 221, an opportunity identification module 222 and an opportunity utilization module 223; the opportunity integration module is used for determining the relevance between different manufacturing enterprises and other enterprises by integrating and analyzing the data information collected by the existing data collection module, and analyzing and establishing an opportunity set relation network developed by the manufacturing enterprises; the opportunity identification module is used for identifying new development opportunities related to the keywords according to the input keywords; the opportunity utilization module is used for searching relevant information of the main body associated with the new development opportunity;
the symbiotic relationship unit 23 is configured to determine a commonly benefitable subject capable of providing complementary products or services for different manufacturing enterprises by performing integration analysis on data information collected by the existing data collection module;
step S2, establishing a personnel storage system 3, wherein personnel information of management type, research and development type, sales type and production type is stored in the personnel storage system;
step S3, establishing a fund support system 4, wherein the fund support system 4 comprises a support fund calculation module 41, a policy fund support module 42 and a financing center 43; the supporting fund calculation module is used for analyzing and determining supporting fund injected into the enterprise according to the production and operation condition of the enterprise, user data and industrial market potential; the policy fund support module is used for providing support items and service organization information which accord with the policy fund of the enterprise for the incubation enterprise; the financing center is used for providing financing modes and service organization information for the incubators according to the production and operation conditions of the incubators;
step S4, establishing an influence factor evaluation module 5, wherein the influence factor evaluation module is used for comparing the data information recorded in real time by the enterprise with a relational graph of the production and operation conditions of the manufacturing enterprise and each factor in the data analysis module to determine the factors influencing the production and operation of the enterprise;
step S5, the enterprise participates in the hatching application through the hatching application module 11 of the hatching management system, the hatching application is checked through the project checking module 12, and the enterprise which is successfully hatched and landed determines the production and management target according to the actual condition of the enterprise;
step S6, the backstage manager determines the rationality of the production and operation target of the incubation enterprise through the data of the data analysis module 212 in the resource collection system 2, and if the production and operation target is rational, the production and operation target is used as the subsequent production and operation target; if the production and operation target established by the incubation enterprise exceeds the enterprise capacity through analysis, sending and adjusting the production and operation target;
step S7, the incubation enterprise fills the production operation data through the data entry module 13 of the incubation management system periodically, the evaluation module 14 of the incubation management system compares the production operation data with the production operation target, and determines whether the production operation condition of the incubation enterprise reaches the standard or not; if the standard is reached, normal production and operation are carried out in the incubation enterprise; if the production operation data do not reach the standard, the production operation data and the production operation target of the incubation enterprise are sent to the influence factor evaluation module;
step S8, the influence factor evaluation module 5 compares the production and operation data of the incubation enterprise, the production and operation target and the production and operation status of the manufacturing enterprise in the data analysis module with the relationship chart of each factor to determine the factors influencing the production and operation of the enterprise; if the influencing factors are personnel, the personnel storage system 3 is used for screening managers, research and development personnel or production personnel with highest relevance to the incubation enterprise to enter the enterprise for assisting support; if the influencing factor is capital, the amount of supporting capital which can be injected into the enterprise is calculated by the supporting capital calculation module 41 according to the number of users in the enterprise and the market potential of the main operation products, and simultaneously, capital support is provided for the enterprise under incubation through the policy capital support module 42 and the financing center 43; if the influencing factor is sales, searching a main body of the product or service which can be complementarily sold with the product of the incubation enterprise through the symbiotic relation unit 23, so that the incubation enterprise establishes a connection with the main body, and promoting the product by utilizing product complementarity; meanwhile, professional sales personnel are provided for incubation through a personnel storage system, and sales assistance is provided; if the influencing factor is the product itself, the opportunity for new development of the product and related subject information are searched for by the opportunity collection unit 22.
Claims (3)
1. A big data-based real-time monitoring method for production and operation conditions of manufacturing and hatching enterprises is characterized by comprising the following steps:
step S1, establishing a resource collection system, wherein the resource collection system comprises a data resource unit, an opportunistic gathering unit and a symbiotic relation unit; the data resource unit comprises a data collection module, a data analysis module and a data sharing module; the data collection module is used for collecting data of the existing manufacturing enterprises, wherein the data comprises product types, production data, research and development data, financial data, user data and employee information; the data analysis module is used for analyzing and establishing a relation chart between the production and operation conditions of the manufacturing enterprises and the products, the production lines, the personnel and the funds according to the data information of the existing manufacturing enterprises; the data sharing module is used for sharing the collected data information so that the personnel with the authority can obtain the related data information;
the opportunity set unit comprises an opportunity integration module, an opportunity identification module and an opportunity utilization module; the opportunity integration module is used for determining the relevance between different manufacturing enterprises and other enterprises by integrating and analyzing the data information collected by the existing data collection module, and analyzing and establishing an opportunity set relation network developed by the manufacturing enterprises; the opportunity identification module is used for identifying new development opportunities related to the input keywords according to the input keywords; the opportunity utilization module is used for searching relevant information of the main body associated with the new development opportunity;
the symbiotic relation unit is used for determining a main body which can provide complementary products or services for different manufacturing enterprises and can benefit together by integrating and analyzing the data information collected by the existing data collection module;
step S2, establishing a personnel storage system, wherein personnel information of management type, research and development type, sales type and production type is stored in the personnel storage system;
step S3, establishing a fund supporting system, wherein the fund supporting system comprises a supporting fund calculation module, a policy fund supporting module and a financing center; the supporting fund calculation module is used for analyzing and determining supporting fund injected into the enterprise according to the production and operation condition of the enterprise, user data and industrial market potential; the policy fund support module is used for providing support items and service organization information which accord with the policy fund of the enterprise for the incubation enterprise; the financing center is used for providing financing modes and service organization information for the incubators according to the production and operation conditions of the incubators;
step S4, establishing an influence factor evaluation module, wherein the influence factor evaluation module is used for comparing the data information recorded in real time by the enterprise with a relational graph of the production and operation conditions of the manufacturing enterprise and each factor in the data analysis module to determine the factors influencing the production and operation of the enterprise;
step S5, the enterprise participates in the hatching application through the hatching management system, and the enterprise which passes the verification of the hatching application and successfully hatches and lands determines the production and management target according to the actual condition of the enterprise;
s6, determining the rationality of the production and operation target of the incubation enterprise by backstage management personnel through data of a data analysis module in the resource collection system, and taking the production and operation target as a subsequent production and operation target if the production and operation target is rational; if the production and operation target established by the incubation enterprise exceeds the enterprise capacity through analysis, sending and adjusting the production and operation target;
step S7, regularly filling production operation data in the incubation enterprise through an incubation management system, and comparing the production operation data with a production operation target by an evaluation module of the incubation management system to determine whether the production operation condition of the incubation enterprise reaches the standard or not; if the standard is reached, normal production and operation are carried out in the incubation enterprise; if the data do not reach the standard, sending the production operation data and the production operation target of the incubation enterprise to an influence factor evaluation module;
step S8, the influence factor evaluation module compares the production and operation data of the incubation enterprise, the production and operation target and the production and operation condition of the manufacturing enterprise in the data analysis module with the relationship chart of each factor to determine the factors influencing the production and operation of the enterprise; if the influencing factors are personnel, the manager, the research personnel or the production personnel with the highest relevance to the incubation enterprise are screened through a personnel storage system to enter the enterprise for assisting support; if the influencing factor is the fund, the amount of the supporting fund which can be injected into the enterprise is calculated through the supporting fund calculation module according to the number of users of the enterprise to be hatched and the market potential of the main operation product, and meanwhile, the fund support is provided for the enterprise to be hatched through the policy fund support module and the financing center; if the influencing factor lies in sales, searching a main body of the product or service which can be complementarily sold with the product of the incubation enterprise through the symbiotic relation unit, establishing a connection between the incubation enterprise and the main body, and promoting the product by utilizing product complementarity; meanwhile, professional salesmen are provided for the incubation enterprises through a personnel storage system; if the influencing factors are in the product, a new development opportunity and related subject information of the product are searched through the opportunity set unit.
2. The big data-based method for monitoring production and operation conditions of a manufacturing and incubating enterprise in real time according to claim 1, wherein the incubation management system comprises an incubation application module, a project auditing module, a data entry module and an evaluation module; the hatching application module is used for an enterprise to apply for hatching; the project auditing module is used for auditing enterprises submitted to the incubation application; the data entry module is used for entering production and operation targets and actual production and operation data information of the incubation enterprises; the evaluation module is used for evaluating the production and operation conditions of the incubation enterprises.
3. A big data-based real-time monitoring system for production and operation conditions of manufacturing and incubating enterprises in manufacturing industry comprises an incubation management system, and is characterized by further comprising a resource collection system, a personnel storage system, a fund support system and an influence factor evaluation module; the hatching management system comprises a hatching application module, a project auditing module, a data entry module and an evaluation module; the hatching application module is used for an enterprise to perform hatching application; the project auditing module is used for auditing enterprises submitted to the incubation application; the data entry module is used for entering production and operation targets and actual production and operation data information of the incubation enterprises; the evaluation module is used for evaluating the production and operation conditions of the incubation enterprises;
the resource collection system comprises a data resource unit, an opportunistic gathering unit and a symbiotic relation unit; the data resource unit comprises a data collection module, a data analysis module and a data sharing module; the data collection module is used for collecting data of the existing manufacturing enterprises, wherein the data comprises product types, production data, research and development data, financial data, user data and employee information; the data analysis module is used for analyzing and establishing a relation chart between the production and operation conditions of the manufacturing enterprises and the products, the production lines, the personnel and the funds according to the data information of the existing manufacturing enterprises; the data sharing module is used for sharing the collected data information so that the personnel with the authority can obtain the related data information;
the opportunity set unit comprises an opportunity integration module, an opportunity identification module and an opportunity utilization module; the opportunity integration module is used for determining the relevance between different manufacturing enterprises and other enterprises by integrating and analyzing the data information collected by the existing data collection module, and analyzing and establishing an opportunity set relation network developed by the manufacturing enterprises; the opportunity identification module is used for identifying new development opportunities related to the input keywords according to the input keywords; the opportunity utilization module is used for searching relevant information of the main body associated with the new development opportunity;
the symbiotic relation unit is used for determining subjects which can benefit together and can provide complementary products or services for different manufacturing enterprises by integrating and analyzing the data information collected by the existing data collection module;
the personnel reservation system is used for storing professional personnel information of different types, including personnel information of management type, research and development type, sales type and production type;
the fund support system comprises a support fund calculation module, a policy fund support module and a financing center; the supporting fund calculation module is used for analyzing and determining supporting fund injected into the enterprise according to the production and operation condition of the enterprise, user data and industrial market potential; the policy fund support module is used for providing support items and service organization information which accord with the policy fund of the enterprise for the incubation enterprise; the financing center is used for providing financing modes and service organization information for the incubators according to the production and operation conditions of the incubators;
and the influence factor evaluation module is used for comparing the data information recorded in real time by the enterprise with the relation chart of the production and operation conditions of the manufacturing enterprise and each factor in the data analysis module to determine the factors influencing the production and operation of the enterprise.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140257901A1 (en) * | 2013-03-10 | 2014-09-11 | Subramanyam K Murthy | System and method for integrated services, projects, assets and resource management using modular analytic tool and relative variance technology |
| CN107133743A (en) * | 2017-05-19 | 2017-09-05 | 重庆文理学院 | A kind of appraisal procedure of small micro- enterprise operation project |
| CN107392443A (en) * | 2017-07-03 | 2017-11-24 | 太仓贝岭思拓软件科技有限公司 | A kind of network enterprise hatching service management system |
| CN109284976A (en) * | 2018-09-06 | 2019-01-29 | 猫控财富资产管理(大连)有限公司 | A kind of Venture Capital side's shared resource accompanies race method and system |
| CN111126829A (en) * | 2019-12-20 | 2020-05-08 | 郑州众扶网络科技有限公司 | Scientific and technological enterprise planning and cultivating method |
| CN113379227A (en) * | 2021-06-08 | 2021-09-10 | 软通智慧信息技术有限公司 | Industrial park data processing method and device, computer equipment and storage medium |
| CN114298604A (en) * | 2021-12-31 | 2022-04-08 | 温州骜杰科技有限公司 | Intelligent comprehensive evaluation management system for incubator living enterprise based on big data dynamic monitoring analysis |
| CN114881441A (en) * | 2022-04-26 | 2022-08-09 | 许昌学院 | One-stop college innovation entrepreneur talent incubation platform |
-
2022
- 2022-08-12 CN CN202210964366.5A patent/CN115034695B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140257901A1 (en) * | 2013-03-10 | 2014-09-11 | Subramanyam K Murthy | System and method for integrated services, projects, assets and resource management using modular analytic tool and relative variance technology |
| CN107133743A (en) * | 2017-05-19 | 2017-09-05 | 重庆文理学院 | A kind of appraisal procedure of small micro- enterprise operation project |
| CN107392443A (en) * | 2017-07-03 | 2017-11-24 | 太仓贝岭思拓软件科技有限公司 | A kind of network enterprise hatching service management system |
| CN109284976A (en) * | 2018-09-06 | 2019-01-29 | 猫控财富资产管理(大连)有限公司 | A kind of Venture Capital side's shared resource accompanies race method and system |
| CN111126829A (en) * | 2019-12-20 | 2020-05-08 | 郑州众扶网络科技有限公司 | Scientific and technological enterprise planning and cultivating method |
| CN113379227A (en) * | 2021-06-08 | 2021-09-10 | 软通智慧信息技术有限公司 | Industrial park data processing method and device, computer equipment and storage medium |
| CN114298604A (en) * | 2021-12-31 | 2022-04-08 | 温州骜杰科技有限公司 | Intelligent comprehensive evaluation management system for incubator living enterprise based on big data dynamic monitoring analysis |
| CN114881441A (en) * | 2022-04-26 | 2022-08-09 | 许昌学院 | One-stop college innovation entrepreneur talent incubation platform |
Non-Patent Citations (1)
| Title |
|---|
| 曹昱亮 等: "科技型在孵企业成长影响因素研究――以天津市国家级孵化器为例", 《科技管理研究》 * |
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