CN113793223A - Artificial intelligence algorithm database module system of global enterprise family multilevel service system - Google Patents
Artificial intelligence algorithm database module system of global enterprise family multilevel service system Download PDFInfo
- Publication number
- CN113793223A CN113793223A CN202111092638.9A CN202111092638A CN113793223A CN 113793223 A CN113793223 A CN 113793223A CN 202111092638 A CN202111092638 A CN 202111092638A CN 113793223 A CN113793223 A CN 113793223A
- Authority
- CN
- China
- Prior art keywords
- information
- module
- global
- unit
- artificial intelligence
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 36
- 238000004422 calculation algorithm Methods 0.000 title claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 51
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000008569 process Effects 0.000 claims abstract description 14
- 238000004088 simulation Methods 0.000 claims description 16
- 238000005516 engineering process Methods 0.000 claims description 6
- 230000001339 gustatory effect Effects 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000013481 data capture Methods 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 230000008447 perception Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 abstract description 3
- 230000000694 effects Effects 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 240000003537 Ficus benghalensis Species 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000001953 sensory effect Effects 0.000 description 2
- 210000003462 vein Anatomy 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
Abstract
The invention discloses a global enterprise home multi-level service system artificial intelligence algorithm database module system which comprises a global Internet public information acquisition unit, a dynamic information input unit, a public information classification unit, an artificial intelligence analysis unit, a multi-item resource calling unit, a computer matching transaction reminding and decision prompting signal output unit and a system model, wherein the output end of the global Internet public information acquisition unit is connected with the input end of the dynamic information input unit, and the output end of the dynamic information input unit is connected with the input end of the system model. According to the global enterprise family multilevel service system artificial intelligence algorithm database module system, computer signals are output to provide decision reminding and auxiliary functions for enterprises in the modes of vision, hearing, smell, taste, touch and feeling, and in the process of analyzing the output value results of the enterprises, the population, weather and basic resources of the industry of the country can influence the output value to a great extent.
Description
Technical Field
The invention relates to the technical field of enterprise data service, in particular to a global enterprise multi-level service system artificial intelligence algorithm database module system.
Background
China is building a multi-level capital market, and in the multi-level capital market, the current stage of an enterprise must be clearly subdivided, and different services are matched according to different levels.
Aiming at the blank, a multi-level enterprise home service system is established, and enterprises are classified into different financial grades according to accounting basis, legal basis, capital owner attribute, nationality, region, industry and the like. Meanwhile, the database arrangement is carried out through the internet public data, the sales volume, intellectual property, tax payment, environmental protection, originators, teams, the industry, charitable responsibility, carbon emission indexes and multiple dimensions of the enterprise are evaluated, and the level of the enterprise is comprehensively evaluated. The database module is required to collect objective data, analyze enterprises through a multi-dimensional database, carry out prospective prediction and analysis according to the personality traits, spirit, industry cycles and market share of the enterprises, carry out accurate analysis and accurately match the economic factors required by the enterprises, such as capital, resources, science and technology, talents, land, data and the like. The two markets in China and abroad are synchronously integrated, and the two resource elements provide full life cycle services for enterprises and families.
However, at present, a multi-level enterprise service system in China is blank, and a multi-level enterprise service system is not provided, so that different levels of enterprises can be matched with different services, and the effect of improving the overall life cycle of the enterprises is achieved.
Disclosure of Invention
The invention aims to provide a global enterprise family multilevel service system artificial intelligence algorithm database module system to solve the problem that the current multilevel enterprise family service system in China is blank in the background technology, does not have a multilevel enterprise family service system, helps enterprise families at different levels match different services, and accordingly achieves the effect of improving the overall enterprise family and enterprise life cycle.
In order to achieve the purpose, the invention provides the following technical scheme: the global enterprise home multi-level service system artificial intelligence algorithm database module system comprises a global Internet public information acquisition unit, a dynamic information input unit, a public information classification unit, an artificial intelligence analysis unit, a multi-resource calling unit, a computer matching transaction reminding and decision-making reminding signal output unit and a system model, wherein the output end of the global Internet public information acquisition unit is connected with the input end of the dynamic information input unit, the output end of the dynamic information input unit is connected with the input end of the system model, the output end of the system model is connected with the input end of the public information classification unit, the output end of the public information classification unit is connected with the input end of the artificial intelligence analysis unit, the output end of the artificial intelligence analysis unit is connected with the input end of the computer matching transaction reminding, and the output end of the computer matching transaction reminding is connected with the input end of the decision-making reminding signal output unit The output end of the decision prompting signal output unit is connected with the input end of the system model, and the output end of the multi-item resource calling unit is connected with the input end of the artificial intelligence analysis unit;
a dynamic information input unit: the unit can quickly collect the information disclosed in the Internet according to the needs of the system model, and intensively transmit the needed information to the interior of the system model to wait for the processing of the information;
a decision prompting signal output unit: the unit can process the information collected by the computer, intensively transmit the decision result to the user end for prompting, normally use the result if the information is correct, feed error information back to the system model if the result of the information is deviated from the actual result, perform secondary calculation of the information, and can repeatedly calculate the result.
Preferably, the dynamic information input unit includes a time module, a map module, a country module, a population module, a weather and weather module, a financial module, a tax module, a legal module, a language module and a everything interconnection module, the information collected in the country module includes all the country information sharing the internet network environment, and the map module exchanges information with the satellite map image.
Preferably, the dynamic information input unit further comprises a total net value family data capture intelligent analysis system, an enterprise business banyan system, an enterprise family tax payment classification system, an enterprise family vein analysis system, a whole situation map enterprise industry classification system, a whole situation map garden development area positioning system, a global high net value family data analysis system, a global bank capital flow direction asset prediction analysis system and a decision prompt signal output unit.
Preferably, the decision prompting signal output unit comprises a visual module, an auditory module, an olfactory simulation module, a gustatory simulation module, a touch sensing module, a perception signal module, a report analysis module, an entrepreneur full life cycle module, an entrepreneur life cycle report module, an enterprise valuation module and a market value management module, and the intelligent investment system for tracking and analyzing global equity capital investment income is provided with an odor generation module for generating odor and exchanging information with a report to be transmitted through the inside of the olfactory simulation module, so that an odor scene of specific information is constructed for prompting.
Preferably, the taste simulation module is internally provided with a taste simulation electrode, the electrode can be used for simulating taste, and an application module of full-sense prompting is further constructed.
Preferably, the decision prompting signal output unit further includes a global equity capital investment income tracking analysis intelligent investment system, a global national marketing investment environment rating management enterprise family assistant decision system, a global enterprise family financial affair risk early warning system, a global enterprise family multilevel classification system, a global enterprise family cross-language communication video transmission system, a global enterprise family charity public welfare responsibility system, a global enterprise family figure intelligent analysis assistant decision system, a global enterprise family personal wealth intelligent analysis system, a global enterprise science and technology competitiveness rating analysis system, and a global ecological environment investment risk early warning.
Preferably, the global enterprise family multilevel service system artificial intelligence algorithm database module system comprises the following use steps:
the method comprises the following steps: inputting keywords of required information in a system model, and quickly retrieving the information;
step two: the artificial intelligence screens and combines the information conditions, and selects proper information from the information conditions for selection;
step three: rotating the correctness of the plurality of pieces of selected information to judge whether the selected information is correct or not, and if the selected information is correct, turning to a fourth step;
step four: the correct information is normally transmitted to facilitate the transaction;
step five: if the selected information is incorrect, the incorrect information is deleted and updated again, and the step one is returned to find the appropriate information for matching.
Compared with the prior art, the invention has the beneficial effects that: the global enterprise family multilevel service system artificial intelligence algorithm database module system provides decision reminding and auxiliary functions for enterprise families in a visual, auditory, olfactory, gustatory, tactile and sensory mode through computer signal output, population, weather and basic resources of the industry of the country can influence the output value to a great extent in the process of analyzing the output value result of an enterprise, so that various modules are required to be added in the analysis process to comprehensively analyze various information so as to improve the specific practicability of the database module and the accuracy of the enterprise output value information, the enterprise family information of the dynamic information input unit is the information of an input system model, the collected information is intensively analyzed according to the needs of users, the system grades various conditions according to grades, and the total transparency from individuals to enterprise assets is improved, the smell simulation module is internally provided with a smell generation module which generates smell and exchanges information with a report needing to be transmitted through the inside of the smell simulation module, so that a smell scene of specific information is constructed for prompting, the decision prompting signal output unit utilizes various sensors to prompt the transmitted information in an all-around way, and simultaneously, big data is utilized to screen the information, evaluation of enterprise valuation and market value management in the whole life cycle of an enterprise, and the like, so that the decision accuracy of the system is improved.
The decision prompting signal output unit also carries out all-round analysis on the information of global entrepreneurs from charitable to portrait, so that the decision accuracy of the system is further improved, the intelligent analysis effect of the system can be increased by repeatedly debugging, the whole process is dynamic input and output, and the updating and the operation are carried out continuously for 7-24 hours. The system is more and more smart and intelligent by circularly and repeatedly combining the automatic optimization algorithm again, and more efficient and accurate service is provided for entrepreneurs.
Drawings
FIG. 1 is a schematic transmission diagram of the system of the present invention;
FIG. 2 is an internal schematic view of a dynamic information input unit according to the present invention;
FIG. 3 is a schematic diagram of an internal decision prompt signal output unit according to the present invention;
FIG. 4 is a schematic diagram showing the system of the present invention in a decentralized manner;
FIG. 5 is a flow chart illustrating the steps 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.
Referring to fig. 1-5, the present invention provides a technical solution: the global enterprise home multi-level service system artificial intelligence algorithm database module system comprises a global Internet public information acquisition unit, a dynamic information input unit, a public information classification unit, an artificial intelligence analysis unit, a multi-item resource calling unit, a computer match deal reminding and decision prompting signal output unit and a system model, wherein the output end of the global Internet public information acquisition unit is connected with the input end of the dynamic information input unit, the output end of the dynamic information input unit is connected with the input end of the system model, the output end of the system model is connected with the input end of the public information classification unit, the output end of the public information classification unit is connected with the input end of the artificial intelligence analysis unit, the output end of the artificial intelligence analysis unit is connected with the input end of the computer match deal reminding, and the output end of the computer match deal reminding is connected with the input end of the decision prompting signal output unit, the output end of the decision prompting signal output unit is connected with the input end of the system model, and the output end of the multi-item resource calling unit is connected with the input end of the artificial intelligence analysis unit;
a dynamic information input unit: the unit can quickly collect the information disclosed in the Internet according to the needs of the system model, and intensively transmit the needed information to the interior of the system model to wait for the processing of the information;
a decision prompting signal output unit: the unit can process the information collected by the computer, intensively transmit the decision result to the user end for prompting, normally use the result if the information is correct, feed error information back to the system model if the result of the information is deviated from the actual result, perform secondary calculation of the information, and can repeatedly calculate the result.
In the invention: the dynamic information input unit internally comprises a time module, a map module, a country module, a population module, a weather and weather module, a financial module, a tax module, a legal module, a language module and a everything interconnection module, wherein the information collected in the country module comprises all the national information sharing the internet network environment, and the map module exchanges information with the satellite map image; in the process of analyzing the output value result of an enterprise, the population, weather and basic resources of the industry of the country can influence the output value to a great extent, so that various modules are required to be added in the analysis process, various information is analyzed comprehensively, the specific practicability of the database module is improved, and the accuracy of the output value information of the enterprise is also improved.
In the invention: the dynamic information input unit also comprises a total net value family data capture intelligent analysis system, an enterprise business banyan system, an enterprise family tax payment classification system, an enterprise family vein analysis system, a whole-border map enterprise industry classification system, a whole-border map garden development area positioning system, a global high net value family data analysis system, a global bank capital flow direction asset prediction analysis system and a decision prompt signal output unit; the information is the data input into the system model, the collected information is analyzed in a centralized way according to the needs of users, and the system can grade various conditions according to grades, so that the total transparency from individuals to enterprise assets is improved, and the comparison and the reference are convenient.
In the invention: the decision prompting signal output unit internally comprises a visual module, an auditory module, an olfactory simulation module, a gustatory simulation module, a touch sensing module, a perception signal module, a report analysis module, an entrepreneur full life cycle module, an entrepreneur life cycle report module, an enterprise valuation module and a market value management module, and the intelligent investment system for tracking and analyzing global equity capital investment income is provided with an odor generation module which generates odor and exchanges information with a report needing to be transmitted through the inside of the olfactory simulation module, so that an odor scene of specific information is constructed for prompting; the decision prompting signal output unit prompts transmitted information in all directions by using various sensors, and simultaneously screens the information by using big data, evaluates enterprise valuation and market value management of the whole life cycle of an enterprise, and the like, thereby being beneficial to improving the decision accuracy of the system.
In the invention: the taste simulation module is internally provided with a taste simulation electrode, can utilize the electrode to simulate the taste, and helps to further construct an application module of full-sense prompting, and the touch sensing module is internally provided with a touch sensor, wherein the touch sensor is connected with the correctness of information through the sensing of the temperature, so that the user is helped to prompt and use.
In the invention: the decision prompting signal output unit also comprises a global equity capital investment income tracking analysis intelligent investment system, a global national marketing investment environment rating management enterprise family auxiliary decision system, a global enterprise family financial affair risk early warning system, a global enterprise family multilevel classification system, a global enterprise family cross-language communication video transmission system, a global enterprise family charity public welfare responsibility system, a global enterprise family figure intelligent analysis auxiliary decision system, a global enterprise family private wealth intelligent analysis system, a global enterprise science and technology competitiveness rating analysis system and a global ecological environment investment risk early warning; the unit also carries out all-round analysis on the information of global entrepreneurs from charitable to portrait, further improves the decision accuracy of the system, and can be repeatedly debugged to increase the intelligent analysis effect of the system.
The working principle is as follows: before the invention is used, a system model is required to be installed in a general computer, a panel and other external devices, is connected with a network, public information of the global Internet is acquired by the system model and is transmitted to a dynamic information input unit, various information is classified according to categories by utilizing modules arranged in the dynamic information input unit, then the dynamic information input unit is transmitted to the system module, the system module sorts and discloses the information to a public information classification unit, the public information classification unit transmits general information to an artificial intelligence analysis unit, a plurality of resource calling units transmit the required information to an artificial intelligence analysis unit again to analyze the information required by a user, at the moment, key words of the required information are input into the system model to quickly search the information, the artificial intelligence analysis unit screens and combines information conditions to select proper information for selection, and if the selected information is incorrect, deleting and updating the incorrect information, and returning to the initial condition to search for proper information for matching.
In summary, the following steps: the global enterprise family multilevel service system artificial intelligence algorithm database module system provides decision reminding and auxiliary functions for enterprise families in a visual, auditory, olfactory, gustatory, tactile and sensory mode through computer signal output, population, weather and basic resources of the industry of the country can influence the output value to a great extent in the process of analyzing the output value result of an enterprise, so that various modules are required to be added in the analysis process to comprehensively analyze various information so as to improve the specific practicability of the database module and the accuracy of the enterprise output value information, the enterprise family information of the dynamic information input unit is the information of an input system model, the collected information is intensively analyzed according to the needs of users, the system grades various conditions according to grades, and the total transparency from individuals to enterprise assets is improved, the smell simulation module is internally provided with a smell generation module which generates smell and exchanges information with a report needing to be transmitted through the inside of the smell simulation module, so that a smell scene of specific information is constructed for prompting, the decision prompting signal output unit utilizes various sensors to prompt the transmitted information in an all-around way, and simultaneously, big data is utilized to screen the information, evaluation of enterprise valuation and market value management in the whole life cycle of an enterprise, and the like, so that the decision accuracy of the system is improved.
The decision prompting signal output unit also carries out all-round analysis on the information of global entrepreneurs from charitable to portrait, so that the decision accuracy of the system is further improved, the intelligent analysis effect of the system can be increased by repeatedly debugging, the whole process is dynamic input and output, and the updating and the operation are carried out continuously for 7-24 hours. The system is more and more smart and intelligent by circularly and repeatedly combining the automatic optimization algorithm again, and more efficient and accurate service is provided for entrepreneurs.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The related modules involved in the system are all hardware system modules or functional modules combining computer software programs or protocols with hardware in the prior art, and the computer software programs or the protocols involved in the functional modules are all known in the technology of persons skilled in the art, and are not improvements of the system; the improvement of the system is the interaction relation or the connection relation among all the modules, namely the integral structure of the system is improved, so as to solve the corresponding technical problems to be solved by the system.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. Global enterprise family multilevel service system artificial intelligence algorithm database module system, including global internet public information acquisition unit, dynamic information input unit, public information classification unit, artificial intelligence analysis unit, multinomial resource calling unit, computer match up and hand over and remind, decision-making prompt signal output unit and system model, its characterized in that: the output end of the global Internet public information acquisition unit is connected with the input end of a dynamic information input unit, the output end of the dynamic information input unit is connected with the input end of a system model, the output end of the system model is connected with the input end of a public information classification unit, the output end of the public information classification unit is connected with the input end of an artificial intelligence analysis unit, the output end of the artificial intelligence analysis unit is connected with the input end of a computer matching and transaction reminder, the output end of the computer matching and transaction reminder is connected with the input end of a decision prompt signal output unit, the output end of the decision prompt signal output unit is connected with the input end of the system model, and the output end of the multi-resource calling unit is connected with the input end of the artificial intelligence analysis unit;
a dynamic information input unit: the unit can quickly collect the information disclosed in the Internet according to the needs of the system model, and intensively transmit the needed information to the interior of the system model to wait for the processing of the information;
a decision prompting signal output unit: the unit can process the information collected by the computer, intensively transmit the decision result to the user end for prompting, normally use the result if the information is correct, feed error information back to the system model if the result of the information is deviated from the actual result, perform secondary calculation of the information, and can repeatedly calculate the result.
2. The global entrepreneur multi-tier service architecture artificial intelligence algorithm database module system of claim 1, wherein: the dynamic information input unit comprises a time module, a map module, a country module, a population module, a weather and weather module, a financial module, a tax module, a legal module, a language module and a everything interconnection module, the information collected in the country module comprises the national information of all shared internet network environments, and the map module exchanges information with the satellite map image.
3. The global entrepreneur multi-tier service architecture artificial intelligence algorithm database module system of claim 1, wherein: the dynamic information input unit also comprises a total net value family data capture intelligent analysis system, an enterprise business track bodhi system, an enterprise family tax payment classification system, an enterprise family pulse analysis system, a whole-situation map enterprise industry classification system, a whole-situation map garden development area positioning system, a global high net value family data analysis system, a global bank capital flow direction asset prediction analysis system and a decision prompt signal output unit.
4. The global entrepreneur multi-tier service architecture artificial intelligence algorithm database module system of claim 1, wherein: the decision prompting signal output unit comprises a visual module, an auditory module, an olfactory analog module, a gustatory analog module, a touch sensing module, a perception signal module, a report analysis module, an entrepreneur full life cycle module, an entrepreneur life cycle report module, an enterprise valuation module and a market value management module, and the intelligent investment system for tracking and analyzing global equity capital investment income is provided with an odor generation module which generates odor and exchanges information with a report needing to be transmitted through the inside of the olfactory analog module, so that an odor scene of specific information is constructed for prompting.
5. The global entrepreneur multi-tier service architecture artificial intelligence algorithm database module system of claim 4, wherein: the taste simulation module is internally provided with a taste simulation electrode, can simulate taste by utilizing the electrode and further helps to construct an application module of full-sense prompting, and the touch sensing module is internally provided with a touch sensor, wherein the touch sensor is connected with the correctness of information through sensing of high and low temperature, so that a user is helped to prompt for use.
6. The global entrepreneur multi-tier service architecture artificial intelligence algorithm database module system of claim 1, wherein: the decision prompting signal output unit also comprises a global equity capital investment income tracking analysis intelligent investment system, a global national marketing investment environment rating management enterprise family auxiliary decision system, a global enterprise family financial affair risk early warning system, a global enterprise family multilevel classification system, a global enterprise family cross-language communication video transmission system, a global enterprise family charity public welfare responsibility system, a global enterprise family figure intelligent analysis auxiliary decision system, a global enterprise family private wealth intelligent analysis system, a global enterprise science and technology competitiveness rating analysis system and a global ecological environment investment risk early warning.
7. The global entrepreneur multi-tier service architecture artificial intelligence algorithm database module system of claim 1, characterized in that it is used in the following steps:
the method comprises the following steps: inputting keywords of required information in a system model, and quickly retrieving the information;
step two: the artificial intelligence screens and combines the information conditions, and selects proper information from the information conditions for selection;
step three: rotating the correctness of the plurality of pieces of selected information to judge whether the selected information is correct or not, and if the selected information is correct, turning to a fourth step;
step four: the correct information is normally transmitted to facilitate the transaction;
step five: if the selected information is incorrect, the incorrect information is deleted and updated again, and the step one is returned to find the appropriate information for matching.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111092638.9A CN113793223B (en) | 2021-09-17 | 2021-09-17 | Artificial intelligent algorithm database module system of global enterprise home multi-level service system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111092638.9A CN113793223B (en) | 2021-09-17 | 2021-09-17 | Artificial intelligent algorithm database module system of global enterprise home multi-level service system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113793223A true CN113793223A (en) | 2021-12-14 |
| CN113793223B CN113793223B (en) | 2023-11-14 |
Family
ID=78878871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111092638.9A Active CN113793223B (en) | 2021-09-17 | 2021-09-17 | Artificial intelligent algorithm database module system of global enterprise home multi-level service system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113793223B (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130288212A1 (en) * | 2012-03-09 | 2013-10-31 | Anurag Bist | System and A Method for Analyzing Non-verbal Cues and Rating a Digital Content |
| CN104216762A (en) * | 2013-05-28 | 2014-12-17 | 波音公司 | Tracking a user to support tasks performed on complex-system components |
| US20150278742A1 (en) * | 2014-03-31 | 2015-10-01 | Kountable, Inc. | Multi-variable assessment systems and methods that evaluate and predict entrepreneurial behavior |
| CN104966132A (en) * | 2015-06-11 | 2015-10-07 | 安徽融信金模信息技术有限公司 | Method for simulating and analyzing enterprise operation information |
| CN107194570A (en) * | 2017-05-18 | 2017-09-22 | 前海梧桐（深圳）数据有限公司 | Screening technique and its system for individual enterprise's key decision point |
| KR20180058128A (en) * | 2016-11-23 | 2018-05-31 | 김종우 | A Data Processing System Using AI |
| CN108140051A (en) * | 2015-10-15 | 2018-06-08 | 邓白氏公司 | Data based on whole world retrieval generate the connection to global networks system of global commerce grading in real time |
| WO2019059717A1 (en) * | 2017-09-22 | 2019-03-28 | 김민준 | System for providing associated service matching platform on basis of company analysis |
| CN109657944A (en) * | 2018-12-06 | 2019-04-19 | 新疆麦肯锡信息科技有限公司 | Enterprise's Life cycle intelligent Service system |
| CN110648040A (en) * | 2019-06-17 | 2020-01-03 | 河北人元科技有限公司 | Data processing system and working method thereof |
| JP2020052774A (en) * | 2018-09-27 | 2020-04-02 | スクエアワン株式会社 | Computer system for supporting enterprise by entrepreneur, and method and program executed in computer system |
| CN111708774A (en) * | 2020-04-16 | 2020-09-25 | 上海华东电信研究院 | Industry analytic system based on big data |
| US20210042662A1 (en) * | 2019-08-06 | 2021-02-11 | Ninghua Albert Pu | Interactive Information Capture and Retrieval with User-Defined and/or Machine Intelligence Augmented Prompts and Prompt Processing |
| CN113344326A (en) * | 2021-04-30 | 2021-09-03 | 西安交通大学 | System and method for identifying dynamic hidden danger and evaluating risk of multi-information fusion special operation site |
-
2021
- 2021-09-17 CN CN202111092638.9A patent/CN113793223B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130288212A1 (en) * | 2012-03-09 | 2013-10-31 | Anurag Bist | System and A Method for Analyzing Non-verbal Cues and Rating a Digital Content |
| CN104216762A (en) * | 2013-05-28 | 2014-12-17 | 波音公司 | Tracking a user to support tasks performed on complex-system components |
| US20150278742A1 (en) * | 2014-03-31 | 2015-10-01 | Kountable, Inc. | Multi-variable assessment systems and methods that evaluate and predict entrepreneurial behavior |
| CN104966132A (en) * | 2015-06-11 | 2015-10-07 | 安徽融信金模信息技术有限公司 | Method for simulating and analyzing enterprise operation information |
| CN108140051A (en) * | 2015-10-15 | 2018-06-08 | 邓白氏公司 | Data based on whole world retrieval generate the connection to global networks system of global commerce grading in real time |
| KR20180058128A (en) * | 2016-11-23 | 2018-05-31 | 김종우 | A Data Processing System Using AI |
| CN107194570A (en) * | 2017-05-18 | 2017-09-22 | 前海梧桐（深圳）数据有限公司 | Screening technique and its system for individual enterprise's key decision point |
| WO2019059717A1 (en) * | 2017-09-22 | 2019-03-28 | 김민준 | System for providing associated service matching platform on basis of company analysis |
| JP2020052774A (en) * | 2018-09-27 | 2020-04-02 | スクエアワン株式会社 | Computer system for supporting enterprise by entrepreneur, and method and program executed in computer system |
| CN109657944A (en) * | 2018-12-06 | 2019-04-19 | 新疆麦肯锡信息科技有限公司 | Enterprise's Life cycle intelligent Service system |
| CN110648040A (en) * | 2019-06-17 | 2020-01-03 | 河北人元科技有限公司 | Data processing system and working method thereof |
| US20210042662A1 (en) * | 2019-08-06 | 2021-02-11 | Ninghua Albert Pu | Interactive Information Capture and Retrieval with User-Defined and/or Machine Intelligence Augmented Prompts and Prompt Processing |
| CN111708774A (en) * | 2020-04-16 | 2020-09-25 | 上海华东电信研究院 | Industry analytic system based on big data |
| CN113344326A (en) * | 2021-04-30 | 2021-09-03 | 西安交通大学 | System and method for identifying dynamic hidden danger and evaluating risk of multi-information fusion special operation site |
Non-Patent Citations (2)
| Title |
|---|
| 柴梅 等: "基于企业生命周期的企业家胜任力模型研究", 经济研究导刊, pages 23 - 24 * |
| 耿裕华;: "建立完整智慧化信息链 提高企业决策水平", 建筑, no. 02, pages 18 - 20 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113793223B (en) | 2023-11-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Le Bagousse-Pinguet et al. | Phylogenetic, functional, and taxonomic richness have both positive and negative effects on ecosystem multifunctionality | |
| Straka et al. | Predicting popularity of electric vehicle charging infrastructure in urban context | |
| Magliocca et al. | From meta-studies to modeling: Using synthesis knowledge to build broadly applicable process-based land change models | |
| Liao et al. | Applying crowdsourcing techniques in urban planning: A bibliometric analysis of research and practice prospects | |
| KR20210082112A (en) | An apparatus and a method for dual learning of low-variablility time series data based on virtual data | |
| Bickel | A new approach to semantic sustainability assessment: text mining via network analysis revealing transition patterns in German municipal climate action plans | |
| Sørensen et al. | Recent developments in multivariate wind and solar power forecasting | |
| CN115456695A (en) | Method, device, system and medium for analyzing shop address selection | |
| Aghimien et al. | A review of the application of data mining for sustainable construction in Nigeria | |
| CN113205271A (en) | Method for evaluating enterprise income tax risk based on machine learning | |
| Lynch et al. | Increased need for data analytics education in support of verification and validation | |
| CN113793223A (en) | Artificial intelligence algorithm database module system of global enterprise family multilevel service system | |
| Zatsarinny et al. | Scientific and methodological approaches to the generation of the Internet information space of scientific and educational resources | |
| Groen et al. | Towards modelling the effect of evolving violence on forced migration | |
| Jones | GIS project management approach for implementation of GIS for planning organisations | |
| Feng | Data analysis and prediction modeling based on deep learning in E-commerce | |
| Semenenko et al. | Automated system-cognitive analysis of the dependence of export and import of agricultural machinery on its production (the case of Russia) | |
| Brandão et al. | Plus: A semi-automated pipeline for fraud detection in public bids | |
| Kars | Predicting Neighborhood Prices: Machine Learning and Hedonic Pricing In The Dutch Housing Market | |
| US20230027774A1 (en) | Smart real estate evaluation system | |
| CN116308158B (en) | National asset supervision and management system | |
| Klevmarken | Micro Simulation-A Tool for Economic Analysis | |
| CN117743601B (en) | Natural resource knowledge graph completion method, device, equipment and medium | |
| Hutapea et al. | Comparison of Accuracy Between Two Methods: Naїve Bayes Algorithm and Decision Tree-J48 to Predict The Stock Price of Pt Astra International tbk Using Data From Indonesia Stock Exchange | |
| Bencsik | Decision support and its relationship with the random correlation phenomenon |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |