A management method and system for recruiting agents based on an industry brain

Abstract

This invention discloses a method and system for attracting and managing businesses based on an industry brain. The method acquires architectural drawings of a target industrial park, extracts several supporting features, outputs the industrial supporting structure, and performs topological representation to obtain several main nodes and several secondary nodes. Based on the rules for attracting and managing businesses, a first graph is constructed with the main nodes as geometric centers, and a second graph is derived. A third graph is constructed based on the enterprise qualification information of the proposed resident enterprises. The compatibility of the third graph with the first graph is compared, and the compatibility of the third graph with the second graph is also compared. Based on the topological structure corresponding to the third graph, the target enterprises are arranged according to the positions of the secondary nodes in the architectural drawings, thereby completing the management of attracting and managing businesses. This solves the problem in existing technologies where the comparison and review of several documents during the attraction and management of businesses leads to strong subjectivity in site selection, resulting in poor matching of enterprise placement and affecting enterprise development.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, specifically to a management method and system for recruiting and managing businesses based on an industry brain. Background Technology

[0002] The difficulty of attracting and resettling businesses lies mainly in the resettlement of these businesses, namely, how to select locations for them in order to promote their high-quality development.

[0003] With rapid economic development, the government plans industrial parks to house companies of the same type or in the same industrial chain within the parks or within the same area. By enabling companies to develop in clusters, this promotes the high-quality development of industrial clusters.

[0004] However, when attracting businesses, especially during the resettlement process, the usual practice is to compare the relevant information of the business with the various policies of the park. If the business meets the requirements, it will be introduced and resettled accordingly. However, when selecting a site for a business, it is usually necessary to calculate the matching degree of various conditions, which is a lot of work. Although it is possible to resettle similar or related companies in the same area of ​​the park, there may be cases where the matching degree of some conditions or some key conditions is not good, which may affect the development of the business. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention aims to provide a management method and system for attracting and retaining businesses based on an industry brain. This system addresses the problem that existing technologies, when selecting locations for businesses, typically require calculating the matching degree of various conditions, resulting in a large workload. Furthermore, while it may be possible to place similar or industry chain-related businesses in the same area of ​​the park, some conditions or key conditions may not match well, thus affecting the development of the businesses.

[0006] The first aspect of this invention is to provide a management method for recruiters based on an industry brain, the method comprising:

[0007] Obtain the architectural drawings of the target park, and extract several supporting features of the target park based on the architectural drawings;

[0008] Based on the aforementioned supporting features, the industrial supporting structure of the target park is output, and the industrial supporting structure is characterized to obtain several main nodes and several secondary nodes that are topologically connected to each main node.

[0009] According to the preset management rules for recruiting merchants, a first shape is constructed with the main node as the geometric center point, and a second shape is constructed with the secondary node as the geometric center point, and the second shape is a derivative shape of the first shape;

[0010] Obtain the enterprise qualification information of the enterprises that intend to enter the target park, and construct a third graph based on the enterprise qualification information;

[0011] The fit between the third graphic and the first graphic corresponding to several main nodes is compared, and it is determined that the proposed enterprise corresponding to the third graphic whose feature difference from the first graphic is less than a first preset value meets the industrial chain requirements in the management rules for attracting and accommodating businesses.

[0012] The fit between the third graphic and the second graphic is compared. If the difference between the features of the third graphic and the second graphic is less than the second preset value, the proposed enterprise corresponding to the third graphic meets the enterprise entry requirements in the management rules for attracting and settling businesses. The proposed enterprise corresponding to the third graphic is then identified as the target enterprise.

[0013] According to the topology corresponding to the third graph, the target enterprise is arranged according to the position information of the sub-nodes in the architectural drawings to output the recruitment strategy corresponding to the target enterprise.

[0014] According to one aspect of the above technical solution, the steps of constructing a first shape with the main node as the geometric center point and constructing a second shape with the secondary node as the geometric center point, and the second shape being a derivative shape of the first shape, according to preset management rules for recruiting merchants, include:

[0015] Obtain the management rules for recruiters corresponding to various industry chains, and break down the management rules for recruiters to obtain several management sub-rules;

[0016] The numerical values ​​recorded in the management sub-rules are characterized, and the description values ​​corresponding to the management sub-rules are output.

[0017] Based on the number of management sub-rules and the size of the description value, a corresponding first graphic is constructed with the main node as the geometric center point, and the first graphic is derived to obtain several second graphics with the sub-nodes as the geometric center points.

[0018] According to one aspect of the above technical solution, the steps of constructing a corresponding first graph with the main node as the geometric center point according to the number of the management sub-rules and the size of the description value, and deriving a plurality of second graphs with the sub-nodes as the geometric center points from the first graph, include:

[0019] Based on the number of management sub-rules and the size of the description value, with the main node as the geometric center, the number of management sub-rules as the number of rhombus edges, and the size of the description value as the length of the rhombus edges, a first graph corresponding to the main node is constructed.

[0020] According to the magnitude of the described value, the length of any rhombus edge in the first graphic is adjusted accordingly to obtain several second graphics derived from the first graphic and corresponding to the sub-nodes.

[0021] According to one aspect of the above technical solution, the steps of adjusting the length of any rhombus edge in the first graphic according to the magnitude of the described value to obtain several second graphics derived from the first graphic and corresponding to the sub-nodes are as follows:

[0022] Among the several second graphics that are topologically connected to the first graphic, all the second graphics have the same number of rhombuses as the first graphic, and the length of at least one rhombus in all the second graphics differs from the length of the corresponding rhombus in the first graphic.

[0023] According to one aspect of the above technical solution, the step of obtaining the enterprise qualification information of the proposed enterprises to be located in the target park, and constructing a third graph based on the enterprise qualification information, includes:

[0024] Obtain the enterprise qualification information of the companies that intend to move into the target park;

[0025] Based on the enterprise qualification information of the proposed enterprises, the various qualifications of the proposed enterprises are scored to obtain a scoring data table;

[0026] Based on the scoring data table, construct a third graph corresponding to the proposed companies to be stationed there.

[0027] According to one aspect of the above technical solution, the step of constructing a third graphic corresponding to the proposed enterprise based on the scoring data table includes:

[0028] Obtain the rating data table and extract the rating items and rating values ​​from the rating data table;

[0029] Based on the number of scoring items and the magnitude of the scoring value, a third graph corresponding to the secondary node is constructed with the secondary node as the geometric center, the number of scoring items as the number of rhombus edges, and the magnitude of the scoring value as the length of the rhombus edges.

[0030] According to one aspect of the above technical solution, the fit between the third graphic and the first graphic, and between the third graphic and the second graphic, is compared as a comparison of the differences in the outline and area.

[0031] A second aspect of the present invention is to provide a business recruitment management system based on an industry brain, applied to the method described in the above-mentioned technical solution, the system comprising:

[0032] The acquisition module is used to acquire architectural drawings of the target park and extract several supporting features of the target park based on the architectural drawings.

[0033] The topology module is used to output the industrial supporting structure of the target park based on the supporting features, characterize the industrial supporting structure, and obtain several main nodes and several secondary nodes topologically connected to each main node.

[0034] The first construction module is used to construct a first shape with the main node as the geometric center point and a second shape with the secondary node as the geometric center point, according to the preset management rules for recruiting merchants. The second shape is a derivative shape of the first shape.

[0035] The second construction module is used to obtain the enterprise qualification information of the enterprises that intend to enter the target park, and construct a third graph based on the enterprise qualification information.

[0036] The first comparison module is used to compare the fit between the third graphic and the first graphic corresponding to several main nodes, and determine that the proposed enterprise corresponding to the third graphic whose feature difference from the first graphic is less than a first preset value meets the industrial chain requirements in the management rules for attracting and managing businesses.

[0037] The second comparison module is used to compare the fit between the third graphic and the second graphic, determine that the proposed enterprise corresponding to the third graphic whose feature difference from the second graphic is less than a second preset value meets the enterprise entry requirements in the management rules for attracting and settling businesses, and determine the proposed enterprise corresponding to the third graphic as the target enterprise.

[0038] The strategy output module is used to arrange the target enterprise according to the position information of the sub-nodes in the architectural drawings according to the topology structure corresponding to the third graph, so as to output the recruitment strategy corresponding to the target enterprise.

[0039] A third aspect of the present invention is to provide a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the methods described in the above-described technical solutions.

[0040] A fourth aspect of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes the computer program to implement the method described in the above-described technical solutions.

[0041] Compared with existing technologies, the beneficial effects of adopting the industry brain-based recruitment and management method and system shown in this invention are as follows:

[0042] By acquiring the architectural drawings of the target park, extracting several supporting features from the drawings, outputting the industrial supporting structure based on these features, and performing topological representation, several main nodes and several secondary nodes topologically connected to each main node are obtained. Then, based on preset management rules for attracting businesses, a first figure is constructed with the main nodes as the geometric center points, and a second figure is derived. A third figure is constructed based on the enterprise qualification information of the proposed resident enterprises. The fit between the third figure and the first figure is compared, and the fit between the third figure and the second figure is compared. Finally, based on the topological structure corresponding to the third figure, the target enterprises are arranged according to the positions of the secondary nodes in the architectural drawings, thereby completing the management of attracting businesses. This invention solves the problem in the prior art where the comparison and review of several documents during the attraction of businesses leads to strong subjectivity in enterprise site selection, resulting in poor matching of enterprise placement and affecting enterprise development. Attached Figure Description

[0043] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which:

[0044] Figure 1 This is a flowchart illustrating a method for managing recruiters based on an industry brain, as described in one embodiment of the present invention.

[0045] Figure 2 This is a schematic diagram of the target park buildings in one embodiment of the present invention;

[0046] Figure 3 This is a schematic diagram of the topological structure for constructing the first graphic and the derived second graphic in one embodiment of the present invention;

[0047] Figure 4 This is a structural block diagram of a business recruitment management system based on an industry brain in one embodiment of the present invention. Detailed Implementation

[0048] To make the objectives, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Several embodiments of the present invention are shown in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of the present invention will be more thorough and complete.

[0049] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0050] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0051] Example 1

[0052] Please see Figure 1 The first embodiment of the present invention provides a management method for recruiting agents based on an industry brain, the method comprising steps S10-S70:

[0053] Step S10: Obtain the architectural drawings of the target park, and extract several supporting features of the target park based on the architectural drawings.

[0054] In this embodiment, the target park is the park where investment is to be attracted, which can be an industrial park mainly focused on industry or a service park mainly focused on services. For example... Figure 2 As shown, the target park can have multiple sub-parks or sub-regions, each with its own characteristics, to suit the centralized development of various types of enterprises, such as e-commerce parks, digital parks, etc.

[0055] Therefore, when managing the recruited businesses, it is necessary to first obtain the architectural drawings of the target park, which can be floor plans, 3D drawings, and renderings. Then, the park is divided according to the architectural drawings, and the supporting features corresponding to several sub-areas are identified. These supporting features include water, electricity, network, emissions, and other features that can affect the development of enterprises.

[0056] For example, if the target park plans to attract a number of digital information technology companies to settle in, the corresponding supporting features should mainly include network facilities and office facilities, without the need for large workshops. By extracting the supporting features of each sub-area of ​​the target park from the architectural drawings, the industrial chain direction of that area can be clearly identified.

[0057] Step S20: Based on the supporting features, output the industrial supporting structure of the target park, characterize the industrial supporting structure, and obtain several main nodes and several secondary nodes topologically connected to each main node.

[0058] In this embodiment, after extracting the supporting features of the target park based on the architectural drawings, the industrial supporting structure of the target park will be output based on the supporting features of each sub-region within the target park. Then, the industrial supporting structure will be characterized. Specifically, the industrial supporting structure will be topologically mapped using the architectural drawings as a template to obtain several main nodes and several secondary nodes that are topologically connected to each main node.

[0059] The type of the main node is determined based on the supporting characteristics of each sub-region. For example, if a sub-region in the target park has a large workshop, it is determined to be the area where industrial production enterprises are located, and then it is determined as the corresponding industrial production main node. Then, based on the industrial production main node, several sub-nodes are determined as production sites for various industrial enterprises.

[0060] More specifically, the aforementioned primary node is determined based on the type of enterprise in the proposed enterprise cluster, while the secondary nodes are determined based on the different characteristics of the same type of enterprise. This allows multiple secondary nodes to be topologically connected under the same primary node, which is equivalent to determining several production sites in the same type of sub-region.

[0061] Step S30: According to the preset management rules for recruiters, construct a first shape with the main node as the geometric center point and construct a second shape with the secondary node as the geometric center point, and the second shape is a derivative shape of the first shape.

[0062] In this embodiment, the steps of constructing a first shape with the main node as the geometric center point and constructing a second shape with the secondary node as the geometric center point, according to preset management rules for recruiting merchants, and wherein the second shape is a derivative shape of the first shape, include:

[0063] Obtain the management rules for recruiters corresponding to various industry chains, and break down the management rules for recruiters to obtain several management sub-rules;

[0064] The numerical values ​​recorded in the management sub-rules are characterized, and the description values ​​corresponding to the management sub-rules are output.

[0065] Based on the number of management sub-rules and the size of the description value, a corresponding first graphic is constructed with the main node as the geometric center point, and the first graphic is derived to obtain several second graphics with the sub-nodes as the geometric center points.

[0066] The steps of constructing a first graphic with the main node as the geometric center point according to the number of management sub-rules and the size of the description value, and deriving several second graphics with the secondary nodes as the geometric center points from the first graphic, include:

[0067] Based on the number of management sub-rules and the size of the description value, with the main node as the geometric center, the number of management sub-rules as the number of rhombus edges, and the size of the description value as the length of the rhombus edges, a first graph corresponding to the main node is constructed.

[0068] According to the magnitude of the described value, the length of any rhombus edge in the first graphic is adjusted accordingly to obtain several second graphics derived from the first graphic and corresponding to the sub-nodes.

[0069] The step of adjusting the length of any rhombus edge in the first graphic according to the magnitude of the described value to obtain several second graphics derived from the first graphic and corresponding to the sub-nodes is as follows:

[0070] Among the several second graphics that are topologically connected to the first graphic, all the second graphics have the same number of rhombuses as the first graphic, and the length of at least one rhombus in all the second graphics differs from the length of the corresponding rhombus in the first graphic.

[0071] In this embodiment, after the topological structure is obtained by characterizing the industrial supporting structure, a first figure is constructed with the main node as the geometric center and a second figure is constructed with the secondary node as the geometric center, according to the preset management rules for attracting merchants. The second figure is a derivative figure of the first figure, that is, the first figure and the first figure are of the same type, but their area sizes will be different.

[0072] Specifically, since the management rules for recruiters corresponding to various industry chains—that is, the applicable rules for different types of enterprises—may differ significantly. For example, the applicable rules for industrial enterprises and service enterprises may differ significantly. Therefore, the management rules for recruiters corresponding to various industry chains are obtained, and these rules are broken down into several management sub-rules. For example, there are various management sub-rules requiring enterprises to have a registered capital of no less than 10 million RMB, a number of employees paying social security contributions of no less than 100, and a tax payment of no less than 10 million RMB. Then, the values ​​recorded in each management sub-rule are represented, and a descriptive value corresponding to each management sub-rule is output to express the enterprise's strength in specific aspects, such as... Figure 3 As shown, based on the number of management sub-rules and the size of the description value, a first graph corresponding to the main node is constructed with the main node as the geometric center, and several second graphs with the secondary nodes as the geometric center are derived from the first graph.

[0073] For example, the management rules for attracting investment in industrial enterprises include three sub-rules: registered capital of no less than 10 million yuan, number of taxpayers of no less than 100, and tax payment of no less than 10 million yuan. Based on the number of sub-rules and their corresponding descriptive values, a first graph is constructed with the main node as the geometric center, and a corresponding second graph is derived. For service enterprises, which are asset-light industries, the management rules only require registered capital of no less than 1 million yuan and number of taxpayers of no less than 20. Similarly, based on the number of sub-rules and their descriptive values, a first graph is constructed with the main node as the geometric center, and a corresponding second graph is derived.

[0074] In other words, because the number of management sub-rules in the applicable rules for recruiting merchants varies among different types of enterprises, the first graphic and the derived second graphic corresponding to each main node will also differ. For example, a management rule for recruiting merchants with three management sub-rules has a first graphic with 3 rhombuses, i.e., a triangle. The second graphic derived from the first graphic is a triangle with various rhombus lengths. For instance, if a company's tax payment reaches 20 million, the corresponding rhombus length can be 2 units; if it reaches 30 million, it can be 3 units, and so on. Similarly, a management rule for recruiting merchants with four management sub-rules has a first graphic with 4 rhombuses, i.e., a quadrilateral. The second graphic derived from the first graphic is a quadrilateral with various rhombus lengths.

[0075] In summary, the more management sub-rules involved in the management rules for recruiting businesses, the more diamonds will be formed in the first and derived second figures. Furthermore, the larger the numbers recorded in the management sub-rules, the longer the diamonds will be. Of course, for management sub-rules that require minimizing enterprise risk, smaller numbers will result in longer diamonds in the first figure.

[0076] Step S40: Obtain the enterprise qualification information of the enterprises that intend to enter the target park, and construct a third graph based on the enterprise qualification information.

[0077] Similarly, in this embodiment, the third graph is constructed based on the enterprise qualification information of the proposed enterprise, using the same method as the graph construction based on the management rules for attracting and settling in enterprises.

[0078] The enterprise qualification information includes registered capital, paid-in capital, number of taxpayers, tax amount, intellectual property rights, and enterprise risk coefficient, etc.

[0079] Step S50: Compare the fit between the third graphic and the first graphic corresponding to several main nodes, and determine that the proposed enterprise corresponding to the third graphic whose feature difference from the first graphic is less than a first preset value meets the industrial chain requirements in the management rules for attracting investment.

[0080] Step S60: Compare the fit between the third graphic and the second graphic, determine that the proposed enterprise corresponding to the third graphic whose feature difference from the second graphic is less than a second preset value meets the enterprise entry requirements in the management rules for attracting investment, and determine the proposed enterprise corresponding to the third graphic as the target enterprise.

[0081] In this embodiment, after constructing a first graphic and its derived second graphic based on the management rules for attracting and protecting businesses, and constructing a third graphic based on the enterprise qualification information, the third graphic is first compared with several first graphics in terms of fit. The higher the fit, the smaller the feature difference, and it is determined that the enterprise to be stationed meets the industrial chain requirements in the management rules for attracting and protecting businesses. Then, the third graphic is compared with several second graphics derived from the first graphic in the above comparison. At the same time, if the fit is higher and the feature difference is smaller, it is determined that the enterprise to be stationed meets the enterprise entry requirements in the management rules for attracting and protecting businesses, and it is identified as the target enterprise.

[0082] Specifically, in this embodiment, the fit between the third graphic and the first graphic in terms of outline and area is compared in order to determine the sub-area of ​​the proposed enterprise in the target park. The fit between the third graphic and the second graphic in terms of outline and area is compared in order to determine the specific location of the proposed enterprise in the aforementioned sub-area.

[0083] As is easily understood, the purpose of the above graphic fit comparison is to first determine the surface and then the point, so as to select the location in the target park that best matches the conditions of the company to be located and provide it to the company.

[0084] Step S70: According to the topology structure corresponding to the third graph, arrange the target enterprise according to the position information of the sub-nodes in the architectural drawings, so as to output the recruitment strategy corresponding to the target enterprise.

[0085] Specifically, after comparing the fit between the third graphic and the first graphic, and between the third graphic and the second graphic, the target company will be arranged according to the position of the sub-nodes in the architectural drawings based on the topology corresponding to the third graphic, so as to output the recruitment strategy corresponding to the target company.

[0086] For example, if the target park includes 3 sub-parks, and after the above comparison, it is determined that the factory building near the road in the third sub-park is suitable for the development of the target enterprise, then according to the location of the factory building in the architectural drawings, the recruitment strategy corresponding to the target enterprise is output.

[0087] In summary, compared with existing technologies, the beneficial effects of adopting the industry brain-based recruitment management method shown in this embodiment are as follows:

[0088] By acquiring the architectural drawings of the target park, extracting several supporting features from the drawings, outputting the industrial supporting structure based on these features, and performing topological representation, several main nodes and several secondary nodes topologically connected to each main node are obtained. Then, based on preset management rules for attracting businesses, a first figure is constructed with the main nodes as the geometric center points, and a second figure is derived. A third figure is constructed based on the enterprise qualification information of the proposed resident enterprises. The fit between the third figure and the first figure is compared, and the fit between the third figure and the second figure is compared. Finally, based on the topological structure corresponding to the third figure, the target enterprises are arranged according to the positions of the secondary nodes in the architectural drawings, thereby completing the management of attracting businesses. This invention solves the problem in the prior art where the comparison and review of several documents during the attraction of businesses leads to strong subjectivity in enterprise site selection, resulting in poor matching of enterprise placement and affecting enterprise development.

[0089] Example 2

[0090] The second embodiment of the present invention also provides a management method for recruiting merchants based on an industry brain. The method shown in this embodiment is basically the same as the method shown in the first embodiment, except that:

[0091] In this embodiment, the step of obtaining the enterprise qualification information of the proposed enterprises to be located in the target park, and constructing a third graph based on the enterprise qualification information, includes:

[0092] Obtain the enterprise qualification information of the companies that intend to move into the target park;

[0093] Based on the enterprise qualification information of the proposed enterprises, the various qualifications of the proposed enterprises are scored to obtain a scoring data table;

[0094] Based on the scoring data table, construct a third graph corresponding to the proposed companies to be stationed there.

[0095] The step of constructing a third graphic corresponding to the proposed company, based on the scoring data table, includes:

[0096] Obtain the rating data table and extract the rating items and rating values ​​from the rating data table;

[0097] Based on the number of scoring items and the magnitude of the scoring value, a third graph corresponding to the secondary node is constructed with the secondary node as the geometric center, the number of scoring items as the number of rhombus edges, and the magnitude of the scoring value as the length of the rhombus edges.

[0098] Example 3

[0099] Please see Figure 4 The third embodiment of the present invention provides a business recruitment management system based on an industry brain, which is applied to the method described in the above embodiments. The system includes: an acquisition module 10, a topology module 20, a first construction module 30, a second construction module 40, a first comparison module 50, a second comparison module 60, and a strategy output module 70.

[0100] The acquisition module 10 is used to acquire the architectural drawings of the target park and extract several supporting features of the target park based on the architectural drawings.

[0101] Topology module 20 is used to output the industrial supporting structure of the target park based on the supporting features, characterize the industrial supporting structure, and obtain several main nodes and several secondary nodes topologically connected to each main node.

[0102] The first construction module 30 is used to construct a first graphic with the main node as the geometric center point and a second graphic with the secondary node as the geometric center point according to the preset management rules for recruiting merchants, and the second graphic is a derivative graphic of the first graphic;

[0103] The second construction module 40 is used to obtain the enterprise qualification information of the enterprises that intend to enter the target park, and construct a third graph based on the enterprise qualification information.

[0104] The first comparison module 50 is used to compare the fit between the third graphic and the first graphic corresponding to several main nodes, and determine that the proposed enterprise corresponding to the third graphic whose feature difference from the first graphic is less than a first preset value meets the industrial chain requirements in the management rules for attracting and managing businesses.

[0105] The second comparison module 60 is used to compare the fit between the third graphic and the second graphic, determine that the proposed enterprise corresponding to the third graphic whose feature difference from the second graphic is less than a second preset value meets the enterprise entry requirements in the management rules for attracting and settling businesses, and determine the proposed enterprise corresponding to the third graphic as the target enterprise.

[0106] The strategy output module 70 is used to arrange the target enterprise according to the position information of the sub-nodes in the building drawing according to the topology structure corresponding to the third graph, so as to output the recruitment strategy corresponding to the target enterprise.

[0107] Compared with existing technologies, the advantages of adopting the industry brain-based recruitment management system shown in this embodiment are as follows:

[0108] By acquiring the architectural drawings of the target park, extracting several supporting features from the drawings, outputting the industrial supporting structure based on these features, and performing topological representation, several main nodes and several secondary nodes topologically connected to each main node are obtained. Then, based on preset management rules for attracting businesses, a first figure is constructed with the main nodes as the geometric center points, and a second figure is derived. A third figure is constructed based on the enterprise qualification information of the proposed resident enterprises. The fit between the third figure and the first figure is compared, and the fit between the third figure and the second figure is compared. Finally, based on the topological structure corresponding to the third figure, the target enterprises are arranged according to the positions of the secondary nodes in the architectural drawings, thereby completing the management of attracting businesses. This invention solves the problem in the prior art where the comparison and review of several documents during the attraction of businesses leads to strong subjectivity in enterprise site selection, resulting in poor matching of enterprise placement and affecting enterprise development.

[0109] Example 4

[0110] A fourth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the methods described in the above embodiments.

[0111] Example 5

[0112] A fifth embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to implement the methods described in the above embodiments.

[0113] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0114] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the protection scope of the present invention. Therefore, the protection scope of this patent should be determined by the appended claims.

Claims

1. A method for managing the recruitment of merchants based on an industrial brain, characterized by, The method comprises: obtaining the building drawings of the target park, and extracting a plurality of supporting features in the target park according to the building drawings; based on the supporting features, output the industrial supporting structure of the target park, characterize the industrial supporting structure, obtain a plurality of main nodes and a plurality of secondary nodes topologically connected with each main node; According to the pre-set management rules of recruiting merchants, the first graph is constructed with the main node as the geometric center point, and the second graph is constructed with the secondary node as the geometric center point, and the second graph is the derivative graph of the first graph; obtain the enterprise qualification information of the enterprise to be stationed in the target park, and construct a third graph according to the enterprise qualification information; Compare the fitting degree of the third graph and the first graph corresponding to the plurality of main nodes, determine that the third graph corresponding to the first graph with a feature difference less than a first preset value meets the industrial chain requirement in the management rules of recruiting merchants; Compare the fitting degree of the third graph and the second graph, determine that the third graph corresponding to the second graph with a feature difference less than a second preset value meets the enterprise entry requirement in the management rules of recruiting merchants, and determine that the third graph corresponding to the third graph is the target enterprise; According to the topological structure corresponding to the third graph, the target enterprise is arranged according to the position information of the secondary node in the building drawings, so as to output the strategy of recruiting merchants corresponding to the target enterprise.

2. The industry brain-based management method of enlisting merchants according to claim 1, characterized in that, According to the pre-set management rules of recruiting merchants, the first graph is constructed with the main node as the geometric center point, and the second graph is constructed with the secondary node as the geometric center point, and the second graph is the derivative graph of the first graph, comprising: obtain the management rules of recruiting merchants corresponding to various industrial chains, split the management rules of recruiting merchants, and obtain a plurality of management sub-rules; characterize the numerical value recorded in the management sub-rules, and output the description value corresponding to the management sub-rules; According to the number of the management sub-rules and the size of the description value, the first graph corresponding to the main node is constructed as the geometric center point, and the first graph is derived to obtain a plurality of second graphs with the secondary node as the geometric center point. 3.The industry brain-based management method of recruiting merchants according to claim 2, characterized in that, According to the number of the management sub-rules and the size of the description value, the first graph corresponding to the main node is constructed as the geometric center point, and the first graph is derived to obtain a plurality of second graphs with the secondary node as the geometric center point, comprising: According to the number of the management sub-rules and the size of the description value, the first graph corresponding to the main node is constructed as the geometric center, the number of the management sub-rules is the number of rhombus, and the size of the description value is the length of rhombus; According to the size of the description value, the length of any rhombus in the first graph is adjusted correspondingly to obtain a plurality of second graphs derived from the first graph and corresponding to the secondary node.

4. The industry brain-based management method of recruiting merchants according to claim 3, characterized in that, The steps involved in adjusting the length of any rhombus edge in the first graphic according to the magnitude of the described value to obtain several second graphics derived from the first graphic and corresponding to the sub-nodes are as follows: Among the several second graphics that are topologically connected to the first graphic, all the second graphics have the same number of rhombuses as the first graphic, and the length of at least one rhombus in all the second graphics differs from the length of the corresponding rhombus in the first graphic.

5. The industry brain-based management method of enlisting merchants according to claim 1, characterized in that, The steps of obtaining the enterprise qualification information of the proposed enterprises to be located in the target park, and constructing a third graph based on the enterprise qualification information, include: Obtain the enterprise qualification information of the companies that intend to move into the target park; Based on the enterprise qualification information of the proposed enterprises, the various qualifications of the proposed enterprises are scored to obtain a scoring data table; Based on the scoring data table, construct a third graph corresponding to the proposed companies to be stationed there.

6. The industry brain-based management method of recruiting merchants according to claim 5, wherein, The step of constructing a third graphic corresponding to the proposed company based on the scoring data table includes: Obtain the rating data table and extract the rating items and rating values ​​from the rating data table; Based on the number of scoring items and the magnitude of the scoring value, a third graph corresponding to the secondary node is constructed with the secondary node as the geometric center, the number of scoring items as the number of rhombus edges, and the magnitude of the scoring value as the length of the rhombus edges.

7. The industry brain-based management method of recruiting merchants according to claims 1-6, characterized in that, The fit between the third graphic and the first graphic, and between the third graphic and the second graphic, is compared in terms of outline and area.

8. A system for managing the recruitment of merchants based on an industrial brain, characterized by, The system, applicable to the method of any one of claims 1-7, comprises: The acquisition module is used to acquire architectural drawings of the target park and extract several supporting features of the target park based on the architectural drawings. The topology module is used to output the industrial supporting structure of the target park based on the supporting features, characterize the industrial supporting structure, and obtain several main nodes and several secondary nodes topologically connected to each main node. The first construction module is used to construct a first shape with the main node as the geometric center point and a second shape with the secondary node as the geometric center point according to the preset management rules for recruiting merchants, and the second shape is a derivative shape of the first shape; The second construction module is used to obtain the enterprise qualification information of the enterprises that intend to enter the target park, and construct a third graph based on the enterprise qualification information. The first comparison module is used to compare the fit between the third graphic and the first graphic corresponding to several main nodes, and determine that the proposed enterprise corresponding to the third graphic whose feature difference from the first graphic is less than a first preset value meets the industrial chain requirements in the management rules for attracting and managing businesses. The second comparison module is used to compare the fit between the third graphic and the second graphic, determine that the proposed enterprise corresponding to the third graphic whose feature difference from the second graphic is less than a second preset value meets the enterprise entry requirements in the management rules for attracting and settling businesses, and determine the proposed enterprise corresponding to the third graphic as the target enterprise. The strategy output module is used to arrange the target enterprise according to the position information of the sub-nodes in the architectural drawings according to the topology structure corresponding to the third graph, so as to output the recruitment strategy corresponding to the target enterprise.

9. A readable storage medium, having stored thereon a computer program, characterized in that, When executed by a processor, the computer program implements the method described in any one of claims 1-7.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and implementable to run on the processor, characterized in that, When the processor executes the computer program, it implements the method according to any one of claims 1-7.

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