CN110826869A - Enterprise science and technology enterprise incubator management system based on Internet of things - Google Patents
Enterprise science and technology enterprise incubator management system based on Internet of things Download PDFInfo
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Abstract
The invention belongs to the technical field of management of incubators of scientific and technological enterprises, and discloses an incubator management system of an enterprise scientific and technological enterprise based on the Internet of things, which comprises: the system comprises a project registration module, an enterprise information acquisition module, a central control module, a thing internet communication module, a property management module, an information release module, a talent management module, a financial management module, an enterprise valuation module, a risk evaluation module and a display module. The invention can improve the stock right evaluation and valuation efficiency of the conventional enterprise through the enterprise valuation module, reduce the time cost, simplify the manual operation process and reduce the working pressure provided by materials; and meanwhile, determining the environmental risk level of the enterprise according to the sub-item scores of the current environmental data of the enterprise and the sub-item scores of the social influence data of the enterprise through a risk evaluation module.
Description
Technical Field
The invention belongs to the technical field of management of incubators of scientific and technological enterprises, and particularly relates to an incubator management system of an enterprise scientific and technological enterprise based on the Internet of things.
Background
The enterprise incubator provides a series of service support by providing physical space and infrastructure for newly-created scientific and medium-sized enterprises, thereby reducing entrepreneurial risk and entrepreneurial cost of entrepreneurials, improving entrepreneurial success rate, promoting scientific and technological achievement conversion and cultivating successful enterprises and entrepreneurials. An enterprise incubator should generally have four basic features: the method comprises the steps of providing an incubation field, providing public facilities, providing incubation service, and facing a specific service object, namely a newly-created scientific and technological type small and medium-sized enterprise. The operation work of the enterprise incubator is carried out by the system processes of establishing a target, setting a hatching standard and a graduation standard, selecting a hatching enterprise, providing a hatching service, facilitating smooth graduation of the hatching enterprise and checking the hatching result. In the incubator operation system, the input quantity is the incubation enterprise, the output quantity is the graduation enterprise, and the incubator target, the incubation standard and the graduation standard are three constraint conditions. However, the existing scientific and technological enterprise incubator management system needs to perform manual calculation on the enterprise valuation calculation method, different calculation methods need to acquire different data, the requirement on the number of collected data is high, and the process is complex; meanwhile, the comprehensive environment protection capability of the enterprise cannot be evaluated so as to determine the environment risk of the enterprise.
In summary, the problems of the prior art are as follows: the existing scientific and technological enterprise incubator management system needs to carry out manual calculation on enterprise valuation calculation methods, different calculation methods need to acquire different data, the requirement on the number of collected data is high, and the process is complex; meanwhile, the comprehensive environment protection capability of the enterprise cannot be evaluated so as to determine the environment risk of the enterprise.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an enterprise science and technology enterprise incubator management system based on the Internet of things.
The invention is realized in this way, an enterprise science and technology enterprise incubator management system based on the internet of things includes:
the system comprises a project registration module, an enterprise information acquisition module, a central control module, a thing internet communication module, a property management module, an information release module, a talent management module, a financial management module, an enterprise valuation module, a risk evaluation module and a display module;
the project registration module is connected with the central control module and used for registering a new enterprise project through a registration program;
the enterprise information acquisition module is connected with the central control module and is used for acquiring data information of scientific and technological enterprises such as operation, investment, finance and the like;
the central control module is connected with the project registration module, the enterprise information acquisition module, the internet of things communication module, the property management module, the information release module, the talent management module, the financial management module, the enterprise valuation module, the risk evaluation module and the display module and is used for controlling each module to normally work through the host;
the Internet of things communication module is connected with the central control module and is used for connecting the Internet of things through the wireless transmitter to carry out Internet of things communication;
the property management module is connected with the central control module and is used for managing water, electricity, equipment, environmental sanitation and security of the incubation base;
the information issuing module is connected with the central control module and used for issuing scientific and technological enterprise information;
the talent management module is connected with the central control module and is used for managing information of staff members of the scientific and technological enterprise;
the financial management module is connected with the central control module and is used for managing the financial information of the scientific and technological enterprise;
the enterprise valuation module is connected with the central control module and used for estimating the value of the scientific and technological enterprise through an estimation program;
the risk evaluation module is connected with the central control module and used for evaluating the environmental risk of the scientific and technological enterprise through an evaluation program;
and the display module is connected with the central control module and used for displaying registration information, acquiring enterprise information, issuing information, enterprise valuation and risk evaluation results through a display.
Further, the enterprise valuation module valuation method is as follows:
(1) acquiring basic information data of an enterprise through an information acquisition program;
(2) selecting a matched database according to the basic information data of the enterprise, displaying the information required to be provided by the database to the enterprise, and providing corresponding data by the enterprise according to the requirements given by the database; performing first round of estimation method matching processing according to the requirements of the first-level industry; according to the requirements of the second-level industry, matching the general business income and net profit growth rate of the industry;
(3) performing logic type and database matching processing according to data matched with innovation capability of the industry to which the enterprise belongs, and identifying a database corresponding to the innovation capability;
(4) carrying out second round of evaluation method screening processing under the identification of the user concept label; if the internet estimation method is not matched in the steps, but the possibility of internet elements exists in the concept label, the internet estimation method is added;
(5) performing performance prediction processing;
(6) according to the operation basic data selected by comparison, carrying out third round of valuation method screening and matching processing, and rejecting corresponding valuation methods when one of business income, net profit and net assets in the operation basic data does not accord with the calculation data rule;
(7) performing fractional operation processing according to the collected enterprise self-evaluation data, financial data and concept labels, and converting into an enterprise comprehensive capacity coefficient;
(8) performing enterprise valuation operation processing by using three rounds of screening remaining applicable valuation methods; and generating development evaluation and suggestion information and enterprise capability evaluation information of five major dimensions of the enterprise by the enterprise valuation operation result and identifying and collecting key information points in enterprise information.
Further, the enterprise basic information data comprises enterprise names, brief descriptions, establishment dates, regions, primary industries, secondary industries, financing rounds, fund demands, financing purposes, concept labels and user data.
Further, the first round of estimation methods at least comprise a PS estimation method, a PE estimation method, a PB estimation method and an Internet estimation method.
Further, the risk evaluation module evaluation method comprises the following steps:
1) acquiring sub-items of historical environment data of an enterprise, sub-items of current environment data of the enterprise and sub-items of social influence data of the enterprise through a network;
2) determining scores of the sub items of the historical environmental data of the enterprise, scores of the sub items of the current environmental data of the enterprise and scores of the sub items of the social influence data of the enterprise according to weights distributed to the sub items of the historical environmental data of the enterprise, the sub items of the current environmental data of the enterprise and the sub items of the social influence data of the enterprise;
3) and determining the environmental risk level of the enterprise by utilizing the scores of all the sub-items of the historical environmental data of the enterprise, the scores of all the sub-items of the current environmental data of the enterprise and the scores of all the sub-items of the social influence data of the enterprise.
Further, the determining scores of the sub-items of the historical environmental data of the enterprise, the sub-items of the current environmental data of the enterprise, and the sub-items of the social influence data of the enterprise according to the weights assigned to the sub-items of the historical environmental data of the enterprise, the sub-items of the current environmental data of the enterprise, and the sub-items of the social influence data of the enterprise includes:
determining the expression scores of the sub items of the historical environmental data according to the mapping tables distributed to the sub items of the historical environmental data; respectively calculating the product of the expression scores of the sub items of the historical environment data and the weight distributed to the sub items of the historical environment data of the enterprise, and taking the product as the score of each sub item of the historical environment data;
determining the expression scores of the sub items of the current environment data of the enterprise according to the mapping table distributed to the sub items of the current environment data of the enterprise; respectively calculating the product of the expression scores of the sub items of the current environment data of the enterprise and the weight distributed to the sub items of the current environment data of the enterprise, and taking the product as the score of each sub item of the current environment data of the enterprise;
determining the expression scores of the sub-items of the social influence data of the enterprise according to the mapping table distributed to the sub-items of the social influence data of the enterprise; and respectively calculating the product of the expression scores of the sub-items of the social influence data of the enterprise and the weight distributed to the sub-items of the social influence data of the enterprise, and taking the product as the score of the sub-items of the social influence data of the enterprise.
Further, the determining the environmental risk level of the enterprise by using the scores of the sub-items of the historical environmental data of the enterprise, the scores of the sub-items of the current environmental data of the enterprise, and the scores of the sub-items of the social influence data of the enterprise comprises:
determining the division items to which the sub items of the historical environment data of the enterprise belong, the division items to which the sub items of the current environment data of the enterprise belong and the division items to which the sub items of the social influence data of the enterprise belong;
performing addition calculation on scores of sub-items with the same division items to take the calculation result as the score of each division item;
and determining the environmental risk level of the enterprise according to the score of each partition item and the risk level score partition table.
The invention has the advantages and positive effects that: according to the invention, the enterprise valuation module can quickly know the non-marketing enterprise equity valuation reference suggestion based on enterprise capacity, so that the conventional enterprise equity valuation and valuation efficiency is improved, the time cost is reduced, the manual operation process is simplified, and the working pressure provided by materials is reduced; the method has the advantages that the high efficiency outside an enterprise is realized, the specialization is realized to a certain degree, and the valuation of the industry development law and the investment experience can be combined; an estimation processing model is formed based on the self development capability of the enterprise, so that the estimation virtual height condition of non-listed enterprises caused by stir-frying and wind following is reduced; meanwhile, when determining the environmental risk level of an enterprise, the risk evaluation module needs to acquire sub-items of historical environmental data of the enterprise, sub-items of current environmental data of the enterprise and sub-items of social influence data of the enterprise, and weights assigned to the sub-items of the historical environmental data of the enterprise, the sub-items of the current environmental data of the enterprise, and the sub-items of the social impact data of the enterprise, and determining the environmental risk level of the enterprise according to the scores of the sub items of the historical environmental data of the enterprise, the scores of the sub items of the current environmental data of the enterprise and the scores of the sub items of the social influence data of the enterprise.
Drawings
Fig. 1 is a block diagram of a management system of an enterprise science and technology enterprise incubator based on the internet of things according to an embodiment of the present invention.
In the figure: 1. a project registration module; 2. an enterprise information acquisition module; 3. a central control module; 4. an Internet of things communication module; 5. a property management module; 6. an information release module; 7. a talent management module; 8. a financial management module; 9. an enterprise valuation module; 10. a risk evaluation module; 11. and a display module.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an enterprise science and technology enterprise incubator management system based on the internet of things according to an embodiment of the present invention includes: the system comprises a project registration module 1, an enterprise information acquisition module 2, a central control module 3, a thing internet communication module 4, a property management module 5, an information release module 6, a talent management module 7, a financial management module 8, an enterprise valuation module 9, a risk evaluation module 10 and a display module 11.
The project registration module 1 is connected with the central control module 3 and used for registering new enterprise projects through a registration program;
the enterprise information acquisition module 2 is connected with the central control module 3 and is used for acquiring data information of scientific and technological enterprises such as operation, investment, finance and the like;
the central control module 3 is connected with the project registration module 1, the enterprise information acquisition module 2, the internet of things communication module 4, the property management module 5, the information release module 6, the talent management module 7, the financial management module 8, the enterprise valuation module 9, the risk evaluation module 10 and the display module 11, and is used for controlling the modules to normally work through the host;
the Internet of things communication module 4 is connected with the central control module 3 and is used for connecting the Internet of things through the wireless transmitter to carry out Internet of things communication;
the property management module 5 is connected with the central control module 3 and is used for managing water, electricity, equipment, environmental sanitation and security of the incubation base;
the information release module 6 is connected with the central control module 3 and used for releasing scientific and technological enterprise information;
the talent management module 7 is connected with the central control module 3 and is used for managing information of staff members of the scientific and technological enterprise;
the financial management module 8 is connected with the central control module 3 and is used for managing the financial information of the scientific and technological enterprises;
the enterprise valuation module 9 is connected with the central control module 3 and used for estimating the value of the scientific and technological enterprise through an estimation program;
the risk evaluation module 10 is connected with the central control module 3 and used for evaluating the environmental risk of the scientific and technological enterprise through an evaluation program;
and the display module 11 is connected with the central control module 3 and used for displaying registration information, enterprise information acquisition, information release, enterprise valuation and risk evaluation results through a display.
The enterprise valuation module 9 valuation method provided by the invention comprises the following steps:
(1) acquiring basic information data of an enterprise through an information acquisition program;
(2) selecting a matched database according to the basic information data of the enterprise, displaying the information required to be provided by the database to the enterprise, and providing corresponding data by the enterprise according to the requirements given by the database; performing first round of estimation method matching processing according to the requirements of the first-level industry; according to the requirements of the second-level industry, matching the general business income and net profit growth rate of the industry;
(3) performing logic type and database matching processing according to data matched with innovation capability of the industry to which the enterprise belongs, and identifying a database corresponding to the innovation capability;
(4) carrying out second round of evaluation method screening processing under the identification of the user concept label; if the internet estimation method is not matched in the steps, but the possibility of internet elements exists in the concept label, the internet estimation method is added;
(5) performing performance prediction processing;
(6) according to the operation basic data selected by comparison, carrying out third round of valuation method screening and matching processing, and rejecting corresponding valuation methods when one of business income, net profit and net assets in the operation basic data does not accord with the calculation data rule;
(7) performing fractional operation processing according to the collected enterprise self-evaluation data, financial data and concept labels, and converting into an enterprise comprehensive capacity coefficient;
(8) performing enterprise valuation operation processing by using three rounds of screening remaining applicable valuation methods; and generating development evaluation and suggestion information and enterprise capability evaluation information of five major dimensions of the enterprise by the enterprise valuation operation result and identifying and collecting key information points in enterprise information.
The basic information data of the enterprise provided by the invention comprises the name, the brief introduction, the establishment date, the region, the primary industry, the secondary industry, the financing turn, the fund demand, the financing application, the concept label and the user data of the enterprise.
The first round of estimation method provided by the invention at least comprises a PS estimation method, a PE estimation method, a PB estimation method and an Internet estimation method.
The evaluation method of the risk evaluation module 10 provided by the invention comprises the following steps:
1) acquiring sub-items of historical environment data of an enterprise, sub-items of current environment data of the enterprise and sub-items of social influence data of the enterprise through a network;
2) determining scores of the sub items of the historical environmental data of the enterprise, scores of the sub items of the current environmental data of the enterprise and scores of the sub items of the social influence data of the enterprise according to weights distributed to the sub items of the historical environmental data of the enterprise, the sub items of the current environmental data of the enterprise and the sub items of the social influence data of the enterprise;
3) and determining the environmental risk level of the enterprise by utilizing the scores of all the sub-items of the historical environmental data of the enterprise, the scores of all the sub-items of the current environmental data of the enterprise and the scores of all the sub-items of the social influence data of the enterprise.
Determining scores for the sub-items of the historical environmental data of the enterprise, the sub-item scores for the current environmental data of the enterprise, and the sub-item scores for the social influence data of the enterprise based on the weights assigned to the sub-items of the historical environmental data of the enterprise, the sub-items of the current environmental data of the enterprise, and the sub-items of the social influence data of the enterprise, includes:
determining the expression scores of the sub items of the historical environmental data according to the mapping tables distributed to the sub items of the historical environmental data; respectively calculating the product of the expression scores of the sub items of the historical environment data and the weight distributed to the sub items of the historical environment data of the enterprise, and taking the product as the score of each sub item of the historical environment data;
determining the expression scores of the sub items of the current environment data of the enterprise according to the mapping table distributed to the sub items of the current environment data of the enterprise; respectively calculating the product of the expression scores of the sub items of the current environment data of the enterprise and the weight distributed to the sub items of the current environment data of the enterprise, and taking the product as the score of each sub item of the current environment data of the enterprise;
determining the expression scores of the sub-items of the social influence data of the enterprise according to the mapping table distributed to the sub-items of the social influence data of the enterprise; and respectively calculating the product of the expression scores of the sub-items of the social influence data of the enterprise and the weight distributed to the sub-items of the social influence data of the enterprise, and taking the product as the score of the sub-items of the social influence data of the enterprise.
The determining the environmental risk level of the enterprise by using the scores of the sub-items of the historical environmental data of the enterprise, the scores of the sub-items of the current environmental data of the enterprise and the scores of the sub-items of the social influence data of the enterprise, provided by the invention, comprises the following steps:
determining the division items to which the sub items of the historical environment data of the enterprise belong, the division items to which the sub items of the current environment data of the enterprise belong and the division items to which the sub items of the social influence data of the enterprise belong;
performing addition calculation on scores of sub-items with the same division items to take the calculation result as the score of each division item;
and determining the environmental risk level of the enterprise according to the score of each partition item and the risk level score partition table.
When the invention works, firstly, a new enterprise project is registered by the project registration module 1 by using a registration program; the data information of scientific and technological enterprise operation, investment, finance and the like is collected through an enterprise information collection module 2; secondly, the central control module 3 is connected with the Internet of things through the Internet of things communication module 4 by using a wireless transmitter to carry out Internet of things communication; the water, electricity, equipment, environmental sanitation and security of the incubation base are managed through the property management module 5; the scientific and technological enterprise information is released through an information release module 6; managing information of staff members of the scientific and technological enterprise through a talent management module 7; managing financial information of a scientific and technological enterprise through a financial management module 8; estimating the value of the scientific and technological enterprise by an enterprise valuation module 9 by using an estimation program; then, evaluating the environmental risk of the scientific and technological enterprise by using an evaluating program through a risk evaluating module 10; and finally, displaying the registration information, the enterprise information, the release information, the enterprise valuation and the risk evaluation result by using a display through the display module 11.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (7)
1. The utility model provides a science and technology enterprise incubator management system based on thing networking which characterized in that, science and technology enterprise incubator management system based on thing networking includes:
the system comprises a project registration module, an enterprise information acquisition module, a central control module, a thing internet communication module, a property management module, an information release module, a talent management module, a financial management module, an enterprise valuation module, a risk evaluation module and a display module;
the project registration module is connected with the central control module and used for registering a new enterprise project through a registration program;
the enterprise information acquisition module is connected with the central control module and is used for acquiring data information of scientific and technological enterprises such as operation, investment, finance and the like;
the central control module is connected with the project registration module, the enterprise information acquisition module, the internet of things communication module, the property management module, the information release module, the talent management module, the financial management module, the enterprise valuation module, the risk evaluation module and the display module and is used for controlling each module to normally work through the host;
the Internet of things communication module is connected with the central control module and is used for connecting the Internet of things through the wireless transmitter to carry out Internet of things communication;
the property management module is connected with the central control module and is used for managing water, electricity, equipment, environmental sanitation and security of the incubation base;
the information issuing module is connected with the central control module and used for issuing scientific and technological enterprise information;
the talent management module is connected with the central control module and is used for managing information of staff members of the scientific and technological enterprise;
the financial management module is connected with the central control module and is used for managing the financial information of the scientific and technological enterprise;
the enterprise valuation module is connected with the central control module and used for estimating the value of the scientific and technological enterprise through an estimation program;
the risk evaluation module is connected with the central control module and used for evaluating the environmental risk of the scientific and technological enterprise through an evaluation program;
and the display module is connected with the central control module and used for displaying registration information, acquiring enterprise information, issuing information, enterprise valuation and risk evaluation results through a display.
2. The internet of things-based enterprise technology enterprise incubator management system of claim 1, wherein the enterprise valuation module valuation method is as follows:
(1) acquiring basic information data of an enterprise through an information acquisition program;
(2) selecting a matched database according to the basic information data of the enterprise, displaying the information required to be provided by the database to the enterprise, and providing corresponding data by the enterprise according to the requirements given by the database; performing first round of estimation method matching processing according to the requirements of the first-level industry; according to the requirements of the second-level industry, matching the general business income and net profit growth rate of the industry;
(3) performing logic type and database matching processing according to data matched with innovation capability of the industry to which the enterprise belongs, and identifying a database corresponding to the innovation capability;
(4) carrying out second round of evaluation method screening processing under the identification of the user concept label; if the internet estimation method is not matched in the steps, but the possibility of internet elements exists in the concept label, the internet estimation method is added;
(5) performing performance prediction processing;
(6) according to the operation basic data selected by comparison, carrying out third round of valuation method screening and matching processing, and rejecting corresponding valuation methods when one of business income, net profit and net assets in the operation basic data does not accord with the calculation data rule;
(7) performing fractional operation processing according to the collected enterprise self-evaluation data, financial data and concept labels, and converting into an enterprise comprehensive capacity coefficient;
(8) performing enterprise valuation operation processing by using three rounds of screening remaining applicable valuation methods; and generating development evaluation and suggestion information and enterprise capability evaluation information of five major dimensions of the enterprise by the enterprise valuation operation result and identifying and collecting key information points in enterprise information.
3. The IOT-based Enterprise technology enterprise incubator management system of claim 2, wherein said enterprise essential information data comprises enterprise name, profile, date of establishment, location, industry class I, industry class II, financing turn, capital requirement, financing purpose, concept tag, user data.
4. The IOT-based Enterprise technology enterprise hatcher management system of claim 2, wherein said first round of valuation methods comprise at least PS valuation, PE valuation, PB valuation, and Internet valuation.
5. The internet-of-things-based enterprise technology enterprise incubator management system of claim 1, wherein the risk evaluation module evaluation method comprises:
1) acquiring sub-items of historical environment data of an enterprise, sub-items of current environment data of the enterprise and sub-items of social influence data of the enterprise through a network;
2) determining scores of the sub items of the historical environmental data of the enterprise, scores of the sub items of the current environmental data of the enterprise and scores of the sub items of the social influence data of the enterprise according to weights distributed to the sub items of the historical environmental data of the enterprise, the sub items of the current environmental data of the enterprise and the sub items of the social influence data of the enterprise;
3) and determining the environmental risk level of the enterprise by utilizing the scores of all the sub-items of the historical environmental data of the enterprise, the scores of all the sub-items of the current environmental data of the enterprise and the scores of all the sub-items of the social influence data of the enterprise.
6. The internet of things-based business technology enterprise incubator management system of claim 5, wherein the determining scores for sub-items of historical environmental data of the enterprise, sub-item scores for current environmental data of the enterprise, and sub-item scores for social impact data of the enterprise based on weights assigned to sub-items of historical environmental data of the enterprise, sub-items of current environmental data of the enterprise, and sub-items of social impact data of the enterprise comprises:
determining the expression scores of the sub items of the historical environmental data according to the mapping tables distributed to the sub items of the historical environmental data; respectively calculating the product of the expression scores of the sub items of the historical environment data and the weight distributed to the sub items of the historical environment data of the enterprise, and taking the product as the score of each sub item of the historical environment data;
determining the expression scores of the sub items of the current environment data of the enterprise according to the mapping table distributed to the sub items of the current environment data of the enterprise; respectively calculating the product of the expression scores of the sub items of the current environment data of the enterprise and the weight distributed to the sub items of the current environment data of the enterprise, and taking the product as the score of each sub item of the current environment data of the enterprise;
determining the expression scores of the sub-items of the social influence data of the enterprise according to the mapping table distributed to the sub-items of the social influence data of the enterprise; and respectively calculating the product of the expression scores of the sub-items of the social influence data of the enterprise and the weight distributed to the sub-items of the social influence data of the enterprise, and taking the product as the score of the sub-items of the social influence data of the enterprise.
7. The internet of things-based enterprise technology enterprise incubator management system of claim 5, wherein the determining the environmental risk level of the enterprise using the scores of the individual sub-items of the historical environmental data of the enterprise, the scores of the individual sub-items of the current environmental data of the enterprise, and the scores of the individual sub-items of the social impact data of the enterprise comprises:
determining the division items to which the sub items of the historical environment data of the enterprise belong, the division items to which the sub items of the current environment data of the enterprise belong and the division items to which the sub items of the social influence data of the enterprise belong;
performing addition calculation on scores of sub-items with the same division items to take the calculation result as the score of each division item;
and determining the environmental risk level of the enterprise according to the score of each partition item and the risk level score partition table.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911004285.5A CN110826869A (en) | 2019-10-16 | 2019-10-16 | Enterprise science and technology enterprise incubator management system based on Internet of things |
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| CN201911004285.5A CN110826869A (en) | 2019-10-16 | 2019-10-16 | Enterprise science and technology enterprise incubator management system based on Internet of things |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612313A (en) * | 2020-04-29 | 2020-09-01 | 上海融贷通金融信息服务有限公司 | Valuation management system for non-listed enterprises |
| CN113344372A (en) * | 2021-05-27 | 2021-09-03 | 苏州工业园区企业发展服务中心 | Chain type incubation efficiency evaluation method |
| CN113420945A (en) * | 2020-12-24 | 2021-09-21 | 十堰云信创科技有限公司 | Tracking management system for quitting enterprise based on innovative incubator |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040215551A1 (en) * | 2001-11-28 | 2004-10-28 | Eder Jeff S. | Value and risk management system for multi-enterprise organization |
| CN104732440A (en) * | 2015-04-03 | 2015-06-24 | 合肥高新创业园管理有限公司 | Investment and financing project screening system for facing high-tech business incubator |
| CN106295948A (en) * | 2016-06-30 | 2017-01-04 | 枣庄智汇互联网小镇管理有限公司 | A kind of high-tech business incubator, the Internet management system |
| CN109345287A (en) * | 2018-09-06 | 2019-02-15 | 深圳市前海梧桐众享资本管理有限公司 | The processing method of enterprise's valuation |
| CN109377094A (en) * | 2018-11-23 | 2019-02-22 | 福建省绿行者环境保护公益中心 | Enterprises environmental risk calculation method and device |
-
2019
- 2019-10-16 CN CN201911004285.5A patent/CN110826869A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040215551A1 (en) * | 2001-11-28 | 2004-10-28 | Eder Jeff S. | Value and risk management system for multi-enterprise organization |
| CN104732440A (en) * | 2015-04-03 | 2015-06-24 | 合肥高新创业园管理有限公司 | Investment and financing project screening system for facing high-tech business incubator |
| CN106295948A (en) * | 2016-06-30 | 2017-01-04 | 枣庄智汇互联网小镇管理有限公司 | A kind of high-tech business incubator, the Internet management system |
| CN109345287A (en) * | 2018-09-06 | 2019-02-15 | 深圳市前海梧桐众享资本管理有限公司 | The processing method of enterprise's valuation |
| CN109377094A (en) * | 2018-11-23 | 2019-02-22 | 福建省绿行者环境保护公益中心 | Enterprises environmental risk calculation method and device |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111612313A (en) * | 2020-04-29 | 2020-09-01 | 上海融贷通金融信息服务有限公司 | Valuation management system for non-listed enterprises |
| CN113420945A (en) * | 2020-12-24 | 2021-09-21 | 十堰云信创科技有限公司 | Tracking management system for quitting enterprise based on innovative incubator |
| CN113344372A (en) * | 2021-05-27 | 2021-09-03 | 苏州工业园区企业发展服务中心 | Chain type incubation efficiency evaluation method |
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