Resource docking accurate query management method and system based on enterprise and project attributes
Through the three-dimensional classification of enterprise and project attributes, the matching index is calculated using project preference index and evaluation index factors, the problem of inefficiency in enterprise resource docking is solved, and accurate and efficient docking between enterprises and projects is achieved.
Patent Information
- Application Number
- CN202510485718.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-07-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the resource docking method between enterprises and projects is inefficient and cannot be accurately divided according to the different attributes of enterprises, making it difficult for projects to quickly find enterprise resources that meet their own needs in massive information, and cannot quickly and accurately evaluate project matching.
By obtaining the attribute information of enterprises and projects, performing three-dimensional classification (industry field, enterprise scale and historical project data), establishing a systematic classification system, and using project preference index and evaluation index factors to calculate the enterprise matching index to ensure accurate connection between enterprises and projects.
It improves the efficiency of enterprise classification, ensures the accuracy and efficiency of enterprise-project connection, can more accurately reflect the core capabilities of the enterprise, and quickly match enterprise resources that meet the needs.
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Figure CN120374046A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of information management, and particularly to a precise query management method and system for resource docking based on enterprise and project attributes. Background Art
[0002] In today's business environment, there is a large demand for resource docking between enterprises and between enterprises and projects. However, the traditional offline resource docking method is inefficient and has a limited coverage. With the development of Internet technology, online platforms have become a better way to connect the resource needs of enterprises and projects. Correspondingly, the types of projects are also constantly changing. For example, with the technological R & D in professional fields, the proportion of scientific and technological projects in project docking is gradually increasing. The online resource docking platform provides more extensive information, enabling more choices for the docking between enterprises and projects, and no longer being restricted by geographical conditions and other factors.
[0003] Currently, for the precise query management of resource docking based on enterprise and project attributes, there are still problems such as the inability to classify enterprises according to different enterprise attributes, resulting in difficulties for projects to quickly find enterprise resources that meet their own needs in a large amount of information during docking. Enterprises are often classified directly according to fixed criteria such as industry fields and resource scales, which affects the project matching efficiency. Moreover, when evaluating the matching status of enterprises, it is impossible to quickly and accurately analyze the project matching degree. Summary of the Invention
[0004] To solve the above technical problems, a precise query management method and system for resource docking based on enterprise and project attributes are provided. This technical solution solves the problems raised in the above background art, such as the inability to classify enterprises according to different enterprise attributes, resulting in difficulties for projects to quickly find enterprise resources that meet their own needs in a large amount of information during docking. Enterprises are often classified directly according to fixed criteria such as industry fields and resource scales, which affects the project matching efficiency. Moreover, when evaluating the matching status of enterprises, it is impossible to quickly and accurately analyze the project matching degree.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows:
[0006] A precise query management method for resource docking based on enterprise and project attributes, comprising:
[0007] Obtain enterprise attribute information, where the enterprise attribute information includes enterprise industry field information, enterprise scale information, and enterprise operation information;
[0008] Obtain enterprise historical project information according to the enterprise attribute information;
[0009] Classify enterprises according to the enterprise historical project information to obtain enterprise classification information;
[0010] Obtain project attribute information, where the project attribute information includes project industry information, project category information, and project resource requirement information;
[0011] According to the project attribute information and enterprise classification information, obtain the enterprise information to be matched;
[0012] According to the enterprise information to be matched and the project attribute information, obtain the matching enterprise information.
[0013] Preferably, classifying enterprises according to the enterprise historical project information to obtain enterprise classification information specifically includes:
[0014] According to the enterprise attribute information, obtain the enterprise industry field information and enterprise scale information;
[0015] Classify enterprises with the enterprise industry field as the classification criterion to obtain the first classification information of enterprises;
[0016] According to the enterprise industry field information, obtain the enterprise scale division criterion corresponding to each industry field;
[0017] According to the enterprise scale division criterion and the enterprise scale information, obtain the enterprise scale category information, where the enterprise scale category includes micro enterprises, small enterprises, medium-sized enterprises, and large enterprises;
[0018] According to the first classification information of enterprises, further classify with the enterprise scale category as the benchmark to obtain the second classification information of enterprises;
[0019] According to the second classification information of enterprises, obtain the enterprise historical project information corresponding to each type of enterprise;
[0020] Taking the project category as the benchmark, obtain the quantity information of each type of project, where the project category includes production projects and R & D projects;
[0021] Take the ratio of the quantity of each type of project to the total quantity of projects as the weight coefficient of this type of project;
[0022] According to the weight coefficient of the project and the second classification information of enterprises, obtain the enterprise classification information.
[0023] Preferably, obtaining the enterprise classification information according to the weight coefficient of the project and the second classification information of enterprises specifically includes:
[0024] According to the second classification information of enterprises, obtain the enterprise historical project information corresponding to each enterprise in the same type of enterprises;
[0025] Based on the enterprise historical project information corresponding to each enterprise, through benchmark project category analysis, characteristic enterprise information and non-characteristic enterprise information are obtained. The characteristic enterprises refer to those enterprises whose enterprise historical project categories are the same project category, and the non-characteristic enterprise information refers to those enterprises whose enterprise historical projects include multiple project categories;
[0026] Based on the characteristic enterprise information, classification is carried out with the project category as the benchmark to obtain enterprise classification information;
[0027] Based on the non-characteristic enterprise information, the enterprise historical project information corresponding to each non-characteristic enterprise is obtained;
[0028] Based on the enterprise historical project information corresponding to each non-characteristic enterprise, the ratio of the quantity of each project to the total quantity of the enterprise historical projects of the non-characteristic enterprise is used as the project preference index of the non-characteristic enterprise for this project category;
[0029] The weight coefficient of each project is used as the project preference index threshold for this project category;
[0030] Based on the project preference index and the project preference index threshold of the non-characteristic enterprise, the preferred project categories of the non-characteristic enterprise are obtained;
[0031] Based on the enterprise classification information, with the preferred project categories of the non-characteristic enterprise as the benchmark, the non-characteristic enterprises are classified into the enterprise categories that are the same as the preferred project categories.
[0032] Preferably, the obtaining of the preferred project categories of the non-characteristic enterprise based on the project preference index and the project preference index threshold of the non-characteristic enterprise specifically includes:
[0033] Based on the project preference index of the non-characteristic enterprise for each project category and the project preference index threshold of each project category, it is judged whether this project category is the preferred project category of the non-characteristic enterprise;
[0034] Among them, if the project preference index of the project category exceeds the corresponding project preference index threshold, then this project category is used as the initial preferred project category;
[0035] If the number of initial preferred project categories is 1, then the initial preferred project category is used as the preferred project category of the non-characteristic enterprise;
[0036] If the number of initial preferred project categories is 2, then the first initial preferred project category and the second initial preferred project category are obtained;
[0037] The ratio of the project preference indices of the first initial preferred project category and the second initial preferred project category is used as the secondary project preference index;
[0038] Taking the ratio of the weight coefficients corresponding to the first initial preference item type and the second initial preference item type as the secondary item preference index threshold;
[0039] If the secondary item preference index exceeds the secondary item preference index threshold, then take the first initial preference item type as the preference item type of non-characteristic enterprises;
[0040] If the secondary item preference index does not exceed the secondary item preference index threshold, then take the second initial preference item type as the preference item type of non-characteristic enterprises.
[0041] Preferably, the obtaining of the enterprise information to be matched according to the project attribute information and the enterprise classification information specifically includes:
[0042] Obtaining the project industry information and the project category information according to the project attribute information;
[0043] Obtaining the industry information and the project category information corresponding to each type of enterprise according to the enterprise classification information;
[0044] Based on the project industry information and the project category information, selecting the enterprise categories in the enterprise classification information that are the same as the project industry and the project category, and obtaining the project resource docking enterprise information;
[0045] Obtaining the project resource condition information according to the project attribute information, where the project resource condition represents the resource conditions that this project must meet;
[0046] Screening the project resource docking enterprises according to the project resource condition information to obtain the enterprise information to be matched.
[0047] Preferably, the obtaining of the matching enterprise information according to the enterprise information to be matched and the project attribute information specifically includes:
[0048] Obtaining the project resource demand information according to the project attribute information;
[0049] Obtaining the enterprise evaluation index factors according to the project resource demand information, where the enterprise evaluation index factors include the proportion information of professional and technical personnel, the number of technical qualification certificates, the net value of equipment assets, and the resource idle rate;
[0050] Based on the project category information, dividing the enterprise evaluation index factors to obtain the first evaluation index factor and the second evaluation index factor, where the first evaluation index factor represents the enterprise evaluation index factors related to the project category;
[0051] Obtaining the project preference index corresponding to each enterprise to be matched and the project category according to the enterprise information to be matched and the project category information;
[0052] Obtain the enterprise matching index according to the project preference index, the first evaluation index factor, and the second evaluation index factor;
[0053] Take the to-be-matched enterprise with the largest enterprise matching index as the matched enterprise, and obtain the matched enterprise information;
[0054] Among them, the enterprise matching index is specifically:
[0055]
[0056] In the formula, Q(x) represents the enterprise matching index of the xth to-be-matched enterprise, represents the project preference index corresponding to the project category to which the xth to-be-matched enterprise belongs, D i represents the value of the ith first evaluation index factor, D j represents the value of the jth second evaluation index factor, n represents the total number of first evaluation index factors, and m represents the total number of second evaluation index factors.
[0057] Furthermore, a precise query management system for resource docking based on enterprise and project attributes is proposed to implement the above management method, including:
[0058] A main control module, which is used to obtain the project preference index according to the enterprise historical project information corresponding to each non-characteristic enterprise, judge whether the project category is the preferred project category of the non-characteristic enterprise according to the project preference index of each non-characteristic enterprise for each project category and the project preference index threshold of each project category, obtain the industry information and project category information corresponding to each type of enterprise according to the enterprise classification information, select the enterprise category in the enterprise classification information that is the same as the project industry and the project category to which the project belongs based on the project industry information and the project category information to which the project belongs, obtain the project resource docking enterprise information, screen the project resource docking enterprises according to the project resource condition information, obtain the to-be-matched enterprise information, and obtain the matched enterprise information according to the to-be-matched enterprise information and the project attribute information;
[0059] An information acquisition module, which is used to obtain enterprise attribute information, enterprise industry field information, enterprise scale information, and enterprise operation information, obtain enterprise historical project information according to the enterprise attribute information, obtain project attribute information, project industry information, project category information to which the project belongs, and project resource demand information, and obtain enterprise evaluation index factors according to the project resource demand information;
[0060] Enterprise evaluation module, which is used to classify enterprises based on the enterprise industry field as the classification standard, obtain the first classification information of the enterprises, obtain the enterprise scale division standard corresponding to each industry field according to the enterprise industry field information, obtain the enterprise scale category information according to the enterprise scale division standard and the enterprise scale information, further classify based on the enterprise scale category according to the first classification information of the enterprises, obtain the second classification information of the enterprises, obtain the quantity information of each type of project based on the project type, use the ratio of the quantity of each type of project to the total quantity of projects as the weight coefficient of this type of project, and obtain the enterprise classification information according to the weight coefficient of the project and the second classification information of the enterprises;
[0061] Display module, which interacts with the main control module and is used to output and display enterprise classification information, project attribute information, enterprises to be matched information, enterprise matching index and matching enterprise information.
[0062] Optionally, the main control module specifically includes:
[0063] Control unit, which is used to obtain the industry information and project type information corresponding to each type of enterprise according to the enterprise classification information, select the enterprise categories in the enterprise classification information that are the same as the project industry and project type based on the project industry information and project type information, obtain the project resource docking enterprise information, screen the project resource docking enterprises according to the project resource condition information, obtain the enterprises to be matched information, and obtain the matching enterprise information according to the enterprises to be matched information and the project attribute information;
[0064] Information receiving unit, which interacts with the information acquisition module and the enterprise evaluation module and is used to receive data and transmit it to the judgment unit;
[0065] Judgment unit, which is used to obtain the project preference index according to the enterprise historical project information corresponding to each non-feature enterprise, and judge whether this project type is the preferred project type of the non-feature enterprise according to the project preference index of the non-feature enterprise for each type of project and the project preference index threshold of each type of project.
[0066] Optionally, the information acquisition module specifically includes:
[0067] First acquisition unit, which is used to acquire enterprise attribute information, enterprise industry field information, enterprise scale information and enterprise operation information, and obtain enterprise historical project information according to the enterprise attribute information;
[0068] Second acquisition unit, which is used to acquire project attribute information, project industry information, project type information and project resource demand information, and obtain enterprise evaluation index factors according to the project resource demand information.
[0069] Optionally, the enterprise evaluation module specifically includes:
[0070] A first evaluation unit, which is used to classify enterprises based on the enterprise industry field as the classification standard, obtain the first classification information of the enterprises, obtain the enterprise scale division standard corresponding to each industry field according to the enterprise industry field information, obtain the enterprise scale category information according to the enterprise scale division standard and the enterprise scale information, and further classify based on the enterprise scale category according to the first classification information of the enterprises to obtain the second classification information of the enterprises;
[0071] A second evaluation unit, which is used to obtain the quantity information of each type of project based on the project type, use the ratio of the quantity of each type of project to the total quantity of projects as the weight coefficient of this type of project, and obtain the enterprise classification information according to the weight coefficient of the project and the second classification information of the enterprises.
[0072] Compared with the prior art, the beneficial effects of the present invention are as follows:
[0073] The present invention proposes a precise query management method and system for resource docking based on enterprise and project attributes. By three-dimensional classification of industry fields, enterprise scales, and historical project data, a three-dimensional classification system is constructed to more accurately reflect the core ability characteristics of enterprises. By the secondary project preference index, enterprises of various project types are classified, improving the enterprise classification efficiency. By the project preference index, the first evaluation index factor, and the second evaluation index factor, the enterprise matching index is obtained, and the matching degree between enterprises and projects is accurately evaluated through the enterprise matching index, ensuring the accuracy of the docking between enterprises and projects. BRIEF DESCRIPTION OF THE DRAWINGS
[0074] Figure 1 It is a flowchart of the precise query management method for resource docking based on enterprise and project attributes proposed by the present invention;
[0075] Figure 2 It is a flowchart for obtaining enterprise classification information in the present invention;
[0076] Figure 3 It is a flowchart for obtaining the preferred project types in the present invention;
[0077] Figure 4 It is a flowchart for obtaining matching enterprise information in the present invention;
[0078] Figure 5 It is a block diagram of the structure of the precise query management system for resource docking based on enterprise and project attributes proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0079] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and other obvious variations can be conceived by those skilled in the art.
[0080] Referring to Figure 1 - Figure 4 As shown, the method for precise query management of resource docking based on enterprise and project attributes in the embodiments of the present invention includes:
[0081] Obtain enterprise attribute information, where the enterprise attribute information includes enterprise industry field information, enterprise scale information, and enterprise operation information;
[0082] According to the enterprise attribute information, obtain the enterprise historical project information;
[0083] Classify the enterprise according to the enterprise historical project information to obtain enterprise classification information;
[0084] Specifically, classifying the enterprise according to the enterprise historical project information to obtain enterprise classification information specifically includes:
[0085] According to the enterprise attribute information, obtain the enterprise industry field information and enterprise scale information;
[0086] Taking the enterprise industry field as the classification criterion, classify the enterprise to obtain the first classification information of the enterprise;
[0087] According to the enterprise industry field information, obtain the enterprise scale division criteria corresponding to each industry field;
[0088] According to the enterprise scale division criteria and the enterprise scale information, obtain the enterprise scale category information, where the enterprise scale categories include micro enterprises, small enterprises, medium-sized enterprises, and large enterprises;
[0089] According to the first classification information of the enterprise, further classify based on the enterprise scale category to obtain the second classification information of the enterprise;
[0090] According to the second classification information of the enterprise, obtain the enterprise historical project information corresponding to each type of enterprise;
[0091] Taking the project type as the criterion, obtain the quantity information of each type of project, where the project types include production projects and R & D projects;
[0092] Take the ratio of the quantity of each type of project to the total quantity of projects as the weight coefficient of this type of project;
[0093] According to the weight coefficient of the project and the second classification information of the enterprise, obtain the enterprise classification information.
[0094] In this solution, enterprises are classified based on the enterprise industry field as the classification criterion to obtain the first classification information of enterprises. Further classification is carried out based on the enterprise scale category to obtain the second classification information of enterprises. According to the weight coefficient of the project and the second classification information of enterprises, the enterprise classification information is obtained. By combining the industry field, enterprise scale, and historical project characteristics, a three-dimensional classification framework of "industry-scale-project type" is formed. This three-dimensional classification method breaks through the limitations of traditional single-dimensional enterprise classification and can more comprehensively reflect the core ability characteristics of enterprises. For example, medium-sized manufacturing enterprises can be further divided into production-dominated, R & D-dominated, or fixed-asset investment-dominated types, providing a basis for precise matching.
[0095] It should be noted that enterprises of different scales have different emphases on different projects. For example, large-scale enterprises can often directly connect to R & D projects, while micro and small enterprises may not have corresponding R & D capabilities. Therefore, further classification based on the enterprise scale category provides a basis for subsequent project-enterprise matching.
[0096] In this embodiment, according to the "Statistical Classification of Large, Medium, Small and Micro Enterprises (2017)" issued by the National Bureau of Statistics, the enterprise scale classification standard is based on the industry category, combined with indicators such as the number of employees, operating income, or total assets. Different enterprise classification standards are set for different industries. For example: for agriculture, forestry, animal husbandry, and fishery, only the operating income indicator is used for classification. For large enterprises, the operating income is more than 200 million yuan; for medium-sized enterprises, the operating income is more than 5 million yuan and less than 200 million yuan; for small enterprises, the operating income is more than 500,000 yuan and less than 5 million yuan; for micro enterprises, the operating income is < 500,000 yuan. For industry (including mining, manufacturing, production and supply of electric power, heat power, gas and water), both the number of employees and the operating income indicators need to be met. For large enterprises, the number of employees is more than 1,000 and the operating income is more than 400 million yuan; for medium-sized enterprises, the number of employees is more than 300 and less than 1,000, and the operating income is more than 20 million yuan and less than 400 million yuan; for small enterprises, the number of employees is more than 20 and less than 300, and the operating income is more than 3 million yuan and less than 20 million yuan; for micro enterprises, the number of employees is less than 20 or the operating income is less than 3 million yuan.
[0097] Specifically, according to the weight coefficient of the project and the second classification information of enterprises, the enterprise classification information is obtained, which specifically includes:
[0098] According to the second classification information of enterprises, the enterprise historical project information corresponding to each enterprise in the same category is obtained;
[0099] According to the enterprise historical project information corresponding to each enterprise, through benchmark project category analysis, characteristic enterprise information and non-characteristic enterprise information are obtained. The characteristic enterprises refer to those enterprises whose enterprise historical project categories are the same project category, and the non-characteristic enterprise information refers to those enterprises whose enterprise historical projects include multiple project categories;
[0100] According to the characteristic enterprise information, classify based on the project category to obtain enterprise classification information;
[0101] According to the non-characteristic enterprise information, obtain the enterprise historical project information corresponding to each non-characteristic enterprise;
[0102] According to the enterprise historical project information corresponding to each non-characteristic enterprise, take the ratio of the quantity of each project to the total quantity of the enterprise historical projects of the non-characteristic enterprise as the project preference index of the non-characteristic enterprise for this project category;
[0103] Take the weight coefficient of each project as the project preference index threshold of this project category;
[0104] According to the project preference index and the project preference index threshold of the non-characteristic enterprise, obtain the preferred project categories of the non-characteristic enterprise;
[0105] According to the enterprise classification information, based on the preferred project categories of the non-characteristic enterprise, classify the non-characteristic enterprises into the enterprise categories that are the same as the preferred project categories.
[0106] Specifically, according to the project preference index and the project preference index threshold of the non-characteristic enterprise, obtaining the preferred project categories of the non-characteristic enterprise specifically includes:
[0107] According to the project preference index of the non-characteristic enterprise for each project category and the project preference index threshold of each project category, determine whether this project category is the preferred project category of the non-characteristic enterprise;
[0108] Among them, if the project preference index of the project category exceeds the corresponding project preference index threshold, then take this project category as the initial preferred project category;
[0109] If the quantity of the initial preferred project categories is 1, then take the initial preferred project category as the preferred project category of the non-characteristic enterprise;
[0110] If the quantity of the initial preferred project categories is 2, then obtain the first initial preferred project category and the second initial preferred project category;
[0111] Take the ratio of the project preference indexes of the first initial preferred project category and the second initial preferred project category as the secondary project preference index;
[0112] Take the ratio of the weight coefficients corresponding to the first initial preference item type and the second initial preference item type as the secondary item preference index threshold;
[0113] If the secondary item preference index exceeds the secondary item preference index threshold, then take the first initial preference item type as the preference item type of non-characteristic enterprises;
[0114] If the secondary item preference index does not exceed the secondary item preference index threshold, then take the second initial preference item type as the preference item type of non-characteristic enterprises.
[0115] In this solution, through the analysis of the benchmark item type, enterprises are divided into characteristic enterprises (dominated by a single item type) and non-characteristic enterprises (coexistence of multiple item types), breaking through the traditional "one-size-fits-all" classification mode. For example, a technology company has both R & D projects (60%) and fixed asset investment projects (40%). Through this step, its R & D preference can be accurately positioned. By calculating the item preference index (i.e., the proportion of the quantity of each item type), the item preference status of the enterprise is specified. By taking the item weight coefficient (such as the weight of the manufacturing R & D project is 65%) as the preference index threshold, it is ensured that the classification standard matches the industry characteristics. When there are dual-preference items, through the comparison of the secondary preference index (the ratio of preference indices) and the industry weight ratio, the priority ranking is realized. For example, if the preference index of Project A is 35% and that of Project B is 30%, and the industry weight coefficient of A is twice that of B, then B is preferentially determined as the preference item.
[0116] It can be understood that for enterprises with coexistence of multiple item types such as technology projects and production projects, if the conventional classification method is directly adopted and classified by the involved item types, not only the item preference degree of the enterprise cannot be accurately judged, but also the repeated classification of the enterprise will be caused, resulting in an increase in the occupation of management resources. Therefore, accurate analysis of enterprises is carried out through the item preference index.
[0117] In this embodiment, if the item preference index of the item type is the same as the corresponding item preference index threshold, then take this characteristic enterprise as the enterprise common to the three item classifications. If the secondary item preference index and the secondary item preference index threshold, then at the same time take the first initial preference item type and the second initial preference item type as the preference item types of non-characteristic enterprises, and conduct repeated classification of non-characteristic enterprises.
[0118] Obtain item attribute information, where the item attribute information includes item industry information, item category information to which the item belongs, and item resource requirement information;
[0119] Obtain the information of the enterprise to be matched according to the item attribute information and the enterprise classification information;
[0120] Specifically, obtaining the information of the enterprise to be matched according to the item attribute information and the enterprise classification information specifically includes:
[0121] Obtain the project industry information and the project category information according to the project attribute information;
[0122] Obtain the industry information and the project category information corresponding to each type of enterprise according to the enterprise classification information;
[0123] Based on the project industry information and the project category information, select the enterprise categories in the enterprise classification information that are the same as the project industry and the project category, and obtain the project resource docking enterprise information;
[0124] Obtain the project resource condition information according to the project attribute information, where the project resource condition represents the resource conditions that the project must meet;
[0125] Screen the project resource docking enterprises according to the project resource condition information to obtain the enterprises to be matched information.
[0126] In this solution, by analyzing the project attributes (such as project historical information, project resource information, project condition information, etc.), and by comparing the project industry information and the project category information with the corresponding content in the enterprise classification information, it is possible to quickly select from numerous enterprises the enterprise categories that are the same as the project industry and the project category, and obtain the project resource docking enterprise information. This process is like locating the target area in the ocean, greatly narrowing the scope of subsequent screening, avoiding the ineffective evaluation of a large number of irrelevant enterprises, saving time and effort, and improving the overall efficiency of resource docking.
[0127] Obtain the matching enterprise information according to the enterprises to be matched information and the project attribute information.
[0128] Specifically, obtaining the matching enterprise information according to the enterprises to be matched information and the project attribute information specifically includes:
[0129] Obtain the project resource requirement information according to the project attribute information;
[0130] Obtain the enterprise evaluation index factors according to the project resource requirement information, where the enterprise evaluation index factors include the proportion information of professional and technical personnel, the number of technical qualification certificates, the net value of equipment assets, and the resource idle rate;
[0131] Based on the project category information, divide the enterprise evaluation index factors to obtain the first evaluation index factor and the second evaluation index factor, where the first evaluation index factor represents the enterprise evaluation index factor related to the project category;
[0132] Obtain the project preference index corresponding to each enterprise to be matched and the project category according to the enterprises to be matched information and the project category information;
[0133] Obtain the enterprise matching index according to the project preference index, the first evaluation index factor, and the second evaluation index factor;
[0134] Take the to-be-matched enterprise with the largest enterprise matching index as the matched enterprise, and obtain the matched enterprise information;
[0135] Among them, the enterprise matching index is specifically:
[0136]
[0137] In the formula, Q(x) represents the enterprise matching index of the x-th to-be-matched enterprise, represents the project preference index corresponding to the project category to which the x-th to-be-matched enterprise belongs, D i represents the value of the i-th first evaluation index factor, D j represents the value of the j-th second evaluation index factor, n represents the total number of first evaluation index factors, and m represents the total number of second evaluation index factors.
[0138] In this solution, enterprise evaluation index factors are obtained through project resource requirement information. Based on the project category information, the enterprise evaluation index factors are divided to obtain the first evaluation index factor and the second evaluation index factor. According to the project preference index, the first evaluation index factor, and the second evaluation index factor, the enterprise matching index is obtained. By extracting project resource requirement information, the abstract project requirements are transformed into quantifiable evaluation indicators (such as the proportion of professional and technical personnel, the net value of equipment assets, etc.), establishing an objective standard for subsequent evaluation.
[0139] In this embodiment, based on the project category information, the enterprise evaluation index factors are divided. For example, if the project category is a R & D project, the enterprise evaluation index factors related to R & D (such as the proportion of professional and technical personnel information and the number of technical qualification certificates, etc.) are used as the first evaluation index factor, and the rest are used as the second evaluation index factor. If the project category is a production project, the enterprise evaluation index factors related to production (such as the net value of equipment assets and the resource idle rate, etc.) are used as the first evaluation index factor, and the rest are used as the second evaluation index factor.
[0140] Refer to Figure 5 As shown, further, in combination with the above-mentioned resource docking precise query management method based on enterprise and project attributes, a resource docking precise query management system based on enterprise and project attributes is proposed, including:
[0141] The main control module is used to obtain the project preference index according to the enterprise historical project information corresponding to each non-characteristic enterprise, determine whether the project type is the preferred project type of the non-characteristic enterprise according to the project preference index of each non-characteristic enterprise for each project type and the project preference index threshold of each project type, obtain the industry information and project type information corresponding to each type of enterprise according to the enterprise classification information, select the enterprise category in the enterprise classification information that is the same as the project industry and the project type based on the project industry information and the project type information to which the project belongs, obtain the project resource docking enterprise information, screen the project resource docking enterprises according to the project resource condition information, obtain the to-be-matched enterprise information, and obtain the matched enterprise information according to the to-be-matched enterprise information and the project attribute information;
[0142] The information acquisition module is used to acquire enterprise attribute information, enterprise industry field information, enterprise scale information and enterprise operation information, obtain the enterprise historical project information according to the enterprise attribute information, acquire the project attribute information, project industry information, project type information to which the project belongs and project resource demand information, and obtain the enterprise evaluation index factors according to the project resource demand information;
[0143] The enterprise evaluation module is used to classify enterprises with the enterprise industry field as the classification criterion to obtain the first classification information of enterprises, obtain the enterprise scale division standard corresponding to each industry field according to the enterprise industry field information, obtain the enterprise scale category information according to the enterprise scale division standard and the enterprise scale information, further classify with the enterprise scale category as the benchmark according to the first classification information of enterprises to obtain the second classification information of enterprises, obtain the quantity information of each project with the project type as the benchmark, use the ratio of the quantity of each project to the total quantity of projects as the weight coefficient of this type of project, and obtain the enterprise classification information according to the weight coefficient of the project and the second classification information of enterprises;
[0144] The display module interacts with the main control module and is used to output and display the enterprise classification information, project attribute information, to-be-matched enterprise information, enterprise matching index and matched enterprise information.
[0145] The main control module specifically includes:
[0146] The control unit is used to obtain the industry information and project type information corresponding to each type of enterprise according to the enterprise classification information, select the enterprise category in the enterprise classification information that is the same as the project industry and the project type based on the project industry information and the project type information to which the project belongs, obtain the project resource docking enterprise information, screen the project resource docking enterprises according to the project resource condition information, obtain the to-be-matched enterprise information, and obtain the matched enterprise information according to the to-be-matched enterprise information and the project attribute information;
[0147] An information receiving unit, which interacts with an information acquisition module and an enterprise evaluation module, is configured to receive data and transmit it to a judgment unit;
[0148] A judgment unit, which is configured to obtain a project preference index according to the enterprise historical project information corresponding to each non-characteristic enterprise, and judge whether the project type is a preferred project type of the non-characteristic enterprise according to the project preference index of each non-characteristic enterprise for each project type and the project preference index threshold of each project type.
[0149] The information acquisition module specifically includes:
[0150] A first acquisition unit, which is configured to acquire enterprise attribute information, enterprise industry field information, enterprise scale information, and enterprise operation information, and acquire enterprise historical project information according to the enterprise attribute information;
[0151] A second acquisition unit, which is configured to acquire project attribute information, project industry information, project category information, and project resource requirement information, and acquire enterprise evaluation index factors according to the project resource requirement information.
[0152] The enterprise evaluation module specifically includes:
[0153] A first evaluation unit, which is configured to classify enterprises with the enterprise industry field as the classification standard to obtain enterprise first classification information, obtain the enterprise scale division standard corresponding to each industry field according to the enterprise industry field information, obtain enterprise scale category information according to the enterprise scale division standard and the enterprise scale information, and further classify with the enterprise scale category as the benchmark according to the enterprise first classification information to obtain enterprise second classification information;
[0154] A second evaluation unit, which is configured to obtain the quantity information of each project with the project type as the benchmark, use the ratio of the quantity of each project to the total quantity of projects as the weight coefficient of the project, and obtain enterprise classification information according to the weight coefficient of the project and the enterprise second classification information.
[0155] In summary, the advantages of the present invention are as follows: By three-dimensional classification of industry fields, enterprise scales, and historical project data, a three-dimensional classification system is constructed to more accurately reflect the core ability characteristics of enterprises. By the secondary project preference index, enterprises of multiple project types are classified, improving the enterprise classification efficiency. By the project preference index, the first evaluation index factor, and the second evaluation index factor, an enterprise matching index is obtained, and the matching degree between the enterprise and the project is accurately evaluated through the enterprise matching index, ensuring the accuracy of the docking between the enterprise and the project.
[0156] The basic principles, main features and advantages of the present invention have been shown and described above. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, various changes and improvements will occur to the present invention, and all these changes and improvements fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.
Claims
1. A precise query management method for resource docking based on enterprise and project attributes, characterized in that, Including: Obtain enterprise attribute information, where the enterprise attribute information includes enterprise industry field information, enterprise scale information, and enterprise operation information; Obtain enterprise historical project information according to the enterprise attribute information; Classify the enterprises according to the enterprise historical project information to obtain enterprise classification information; Obtain project attribute information, where the project attribute information includes project industry information, project category information, and project resource requirement information; Obtain information of enterprises to be matched according to the project attribute information and the enterprise classification information; Obtain information of matching enterprises according to the information of enterprises to be matched and the project attribute information.
2. The resource docking precise query management method based on enterprise and project attributes according to claim 1, wherein, The step of classifying the enterprises according to the enterprise historical project information to obtain enterprise classification information specifically includes: Obtain enterprise industry field information and enterprise scale information according to the enterprise attribute information; Classify the enterprises with the enterprise industry field as the classification criterion to obtain the first-level enterprise classification information; Obtain the enterprise scale division criterion corresponding to each industry field according to the enterprise industry field information; Obtain enterprise scale category information according to the enterprise scale division criterion and the enterprise scale information. The enterprise scale categories include micro enterprises, small enterprises, medium-sized enterprises, and large enterprises; Further classify based on the first-level enterprise classification information with the enterprise scale category as the benchmark to obtain the second-level enterprise classification information; Obtain the enterprise historical project information corresponding to each type of enterprise according to the second-level enterprise classification information; Take the project category as the benchmark to obtain the quantity information of each type of project. The project categories include production projects and R & D projects; Take the ratio of the quantity of each type of project to the total quantity of projects as the weight coefficient of this type of project; Obtain enterprise classification information according to the weight coefficient of the project and the second-level enterprise classification information.
3. The resource docking precise query management method based on enterprise and project attributes according to claim 2, characterized in that, The step of obtaining enterprise classification information according to the weight coefficient of the project and the second-level enterprise classification information specifically includes: Obtain the enterprise historical project information corresponding to each enterprise in the same type of enterprises according to the second-level enterprise classification information; Based on the enterprise historical project information corresponding to each enterprise, conduct a benchmark project category analysis to obtain characteristic enterprise information and non-characteristic enterprise information. The characteristic enterprises refer to those whose enterprise historical project categories are the same type of project, and the non-characteristic enterprise information refers to those whose enterprise historical projects include multiple project categories; Classify based on the characteristic enterprise information with the project category as the benchmark to obtain enterprise classification information; Obtain the enterprise historical project information corresponding to each non-characteristic enterprise according to the non-characteristic enterprise information; Take the ratio of the quantity of each type of project to the total quantity of the enterprise historical projects of this non-characteristic enterprise as the project preference index of this non-characteristic enterprise for this type of project; Take the weight coefficient of each type of project as the project preference index threshold of this type of project; Obtain the preferred project categories of non-characteristic enterprises according to the project preference index and the project preference index threshold of non-characteristic enterprises; Based on the enterprise classification information, classify non-characteristic enterprises into the same enterprise category as the preferred project categories with the preferred project categories of non-characteristic enterprises as the benchmark.
4. The resource docking precise query management method based on enterprise and project attributes according to claim 3, characterized in that, The step of obtaining the preferred project categories of non-characteristic enterprises according to the project preference index and the project preference index threshold of non-characteristic enterprises specifically includes: Based on the project preference index of each project type for non-characteristic enterprises and the project preference index threshold of each project type, determine whether the project type is a preferred project type of non-characteristic enterprises; Among them, if the project preference index of the project type exceeds the corresponding project preference index threshold, then take this project type as the initial preferred project type; If the number of initial preferred project types is 1, then take the initial preferred project type as the preferred project type of non-characteristic enterprises; If the number of initial preferred project types is 2, then obtain the first initial preferred project type and the second initial preferred project type; Take the ratio of the project preference indices of the first initial preferred project type and the second initial preferred project type as the secondary project preference index; Take the ratio of the weight coefficients corresponding to the first initial preferred project type and the second initial preferred project type as the secondary project preference index threshold; If the secondary project preference index exceeds the secondary project preference index threshold, then take the first initial preferred project type as the preferred project type of non-characteristic enterprises; If the secondary project preference index does not exceed the secondary project preference index threshold, then take the second initial preferred project type as the preferred project type of non-characteristic enterprises.
5. The resource docking precise query management method based on enterprise and project attributes according to claim 1, characterized in that The obtaining of the enterprise information to be matched according to the project attribute information and the enterprise classification information specifically includes: Obtain the project industry information and the project type information to which the project belongs according to the project attribute information; Obtain the industry information and project type information corresponding to each type of enterprise according to the enterprise classification information; Based on the project industry information and the project type information to which the project belongs, select the enterprise categories in the enterprise classification information that are the same as the project industry and the project type to which the project belongs, and obtain the project resource docking enterprise information; Obtain the project resource condition information according to the project attribute information, and the project resource condition indicates the resource conditions that this project must meet; Screen the project resource docking enterprises according to the project resource condition information to obtain the enterprise information to be matched.
6. The resource docking precise query management method based on enterprise and project attributes according to claim 1, characterized in that, The obtaining of the matching enterprise information according to the enterprise information to be matched and the project attribute information specifically includes: Obtain the project resource demand information according to the project attribute information; Obtain the enterprise evaluation index factors according to the project resource demand information, and the enterprise evaluation index factors include the proportion information of professional and technical personnel, the number of technical qualification certificates, the net value of equipment assets, and the resource idle rate; Based on the project type information to which the project belongs, divide the enterprise evaluation index factors to obtain the first evaluation index factor and the second evaluation index factor, and the first evaluation index factor represents the enterprise evaluation index factors related to the project type to which the project belongs; Obtain the project preference index corresponding to each enterprise to be matched and the project type to which the project belongs according to the enterprise information to be matched and the project type information to which the project belongs; Obtain the enterprise matching index according to the project preference index, the first evaluation index factor, and the second evaluation index factor; Take the enterprise to be matched with the largest enterprise matching index as the matching enterprise to obtain the matching enterprise information; Among them, the enterprise matching index is specifically: In the formula, Q(x) represents the enterprise matching index of the x-th enterprise to be matched, and φ ix represents the project preference index corresponding to the project category of the x-th enterprise to be matched, D i represents the value of the i-th first evaluation index factor, D j represents the value of the j-th second evaluation index factor, n represents the total number of first evaluation index factors, and m represents the total number of second evaluation index factors.
7. A precise query management system for resource docking based on enterprise and project attributes, which is used to implement the management method described in any one of claims 1-6, characterized in that Include: The main control module is used to obtain the project preference index according to the enterprise historical project information corresponding to each non-feature enterprise, determine whether the project type is the preferred project type of the non-feature enterprise according to the project preference index of each non-feature enterprise for each project type and the project preference index threshold of each project type, obtain the industry information and project type information corresponding to each type of enterprise according to the enterprise classification information, select the enterprise category in the enterprise classification information that is the same as the project industry and the project type based on the project industry information and the project type information to which the project belongs, obtain the project resource docking enterprise information, screen the project resource docking enterprises according to the project resource condition information, obtain the enterprise information to be matched, and obtain the matched enterprise information according to the enterprise information to be matched and the project attribute information; The information acquisition module is used to acquire enterprise attribute information, enterprise industry field information, enterprise scale information and enterprise operation information, obtain enterprise historical project information according to the enterprise attribute information, acquire project attribute information, project industry information, the project type information to which the project belongs and project resource demand information, and obtain enterprise evaluation index factors according to the project resource demand information; The enterprise evaluation module is used to classify enterprises with the enterprise industry field as the classification criterion to obtain the first classification information of enterprises, obtain the enterprise scale division standard corresponding to each industry field according to the enterprise industry field information, obtain the enterprise scale category information according to the enterprise scale division standard and the enterprise scale information, further classify with the enterprise scale category as the benchmark according to the first classification information of enterprises to obtain the second classification information of enterprises, obtain the quantity information of each project with the project type as the benchmark, use the ratio of the quantity of each project to the total quantity of projects as the weight coefficient of this type of project, and obtain the enterprise classification information according to the weight coefficient of the project and the second classification information of enterprises; The display module interacts with the main control module and is used to output and display enterprise classification information, project attribute information, enterprise information to be matched, enterprise matching index and matched enterprise information.
8. The resource docking precise query management system based on enterprise and project attributes according to claim 7, characterized in that The main control module specifically includes: The control unit is used to obtain the industry information and project type information corresponding to each type of enterprise according to the enterprise classification information, select the enterprise category in the enterprise classification information that is the same as the project industry and the project type based on the project industry information and the project type information to which the project belongs, obtain the project resource docking enterprise information, screen the project resource docking enterprises according to the project resource condition information, obtain the enterprise information to be matched, and obtain the matched enterprise information according to the enterprise information to be matched and the project attribute information; The information receiving unit interacts with the information acquisition module and the enterprise evaluation module and is used to receive data and transmit it to the judgment unit; A judgment unit, which is used to obtain a project preference index according to the enterprise historical project information corresponding to each non-characteristic enterprise, and judge whether the project type is a preferred project type of the non-characteristic enterprise according to the project preference index of each project type of the non-characteristic enterprise and the project preference index threshold of each project type.
9. The resource docking precise query management system based on enterprise and project attributes according to claim 7, characterized in that, The information acquisition module specifically includes: A first acquisition unit, which is used to acquire enterprise attribute information, enterprise industry field information, enterprise scale information, and enterprise operation information, and obtain enterprise historical project information according to the enterprise attribute information; A second acquisition unit, which is used to acquire project attribute information, project industry information, project category information, and project resource requirement information, and obtain enterprise evaluation index factors according to the project resource requirement information.
10. The resource docking precise query management system based on enterprise and project attributes according to claim 7, characterized in that, The enterprise evaluation module specifically includes: A first evaluation unit, which is used to classify enterprises based on the enterprise industry field as the classification standard to obtain the first classification information of the enterprises, obtain the enterprise scale division standard corresponding to each industry field according to the enterprise industry field information, obtain the enterprise scale category information according to the enterprise scale division standard and the enterprise scale information, and further classify based on the enterprise scale category according to the first classification information of the enterprises to obtain the second classification information of the enterprises; A second evaluation unit, which is used to obtain the quantity information of each project based on the project type, use the ratio of the quantity of each project to the total quantity of projects as the weight coefficient of this type of project, and obtain the enterprise classification information according to the weight coefficient of the project and the second classification information of the enterprises.