Security investor management method and system based on industrial brain

Abstract

The invention discloses an industrial brain-based security officer management method and system, and the method comprises the steps: obtaining an architectural drawing of a target park, extracting a plurality of matching features, outputting an industrial matching structure, carrying out the topological representation, obtaining a plurality of main nodes and a plurality of auxiliary nodes, and carrying out the topological representation of the industrial matching structure based on a security officer management rule. The method comprises the following steps: constructing a first graph by taking a main node as a geometric center point, deriving a second graph, constructing a third graph based on enterprise qualification information of a to-be-settled enterprise, sequentially carrying out integrating degree comparison on the third graph and the first graph, carrying out integrating degree comparison on the third graph and the second graph, and constructing a third graph based on a topological structure corresponding to the third graph. And the target enterprise is arranged according to the position of the auxiliary node in the architectural drawing, so that security officer management is completed, and the problem that in the prior art, the matching degree of enterprise placement is general and enterprise development is affected due to relatively high subjectivity of enterprise site selection through comparison and auditing of a plurality of pieces of data during security officer management is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and particularly relates to a method and system for attracting and resettling merchants based on an industrial brain. Background Art

[0002] For attracting and resettling merchants, that is, attracting investment and resettling enterprises, the difficulty mainly lies in resettling enterprises, namely how to select a location for the enterprises to promote the high-quality development of the enterprises.

[0003] With the rapid development of the economy, the government usually plans industrial parks and resettles enterprises of the same type or in the same industrial chain in the industrial park or the same area within the industrial park. By enabling the enterprises to develop in groups, it is conducive to promoting the high-quality development of the industrial cluster.

[0004] However, currently when attracting and resettling merchants, especially during the process of resettling enterprises, usually the relevant information of the enterprises is compared with the various policies of the industrial park. If it meets the requirements, it is introduced and correspondingly resettled. But when selecting a location for the enterprises, usually the matching degree of various conditions needs to be calculated, and the calculation workload is large. Moreover, although enterprises of the same type or in the same industrial chain can be resettled in the same area of the industrial park, there may be a situation where the matching degree of some conditions or several key conditions is average, thus affecting the development of the enterprises. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a method and system for attracting and resettling merchants based on an industrial brain, aiming to solve the problems in the prior art that when selecting a location for enterprises during the process of attracting and resettling merchants, usually the matching degree of various conditions needs to be calculated, the calculation workload is large, and although enterprises of the same type or in the same industrial chain can be resettled in the same area of the industrial park, there may be a situation where the matching degree of some conditions or several key conditions is average, thus affecting the development of the enterprises.

[0006] The first aspect of the present invention lies in providing a method for attracting and resettling merchants based on an industrial brain, and the method includes: Obtain the architectural drawings of the target industrial park, and extract several supporting features in the target industrial park according to the architectural drawings; Based on the supporting features, output the industrial supporting structure of the target industrial park, characterize the industrial supporting structure, and obtain several main nodes and several sub-nodes topologically connected to each main node; According to the preset rules for attracting and resettling merchant management, construct a first graph with the main node as the geometric center point, and construct a second graph with the sub-node as the geometric center point, and the second graph is a derivative graph of the first graph; Obtain the enterprise qualification information of the enterprises to be settled in the target industrial park, and construct a third graph according to the enterprise qualification information; Compare the fitness of the third graph with the first graphs corresponding to several of the main nodes, and determine that the proposed enterprises corresponding to the third graphs with a feature difference less than a first preset value from the first graphs meet the industrial chain requirements in the management rules for recruited merchants; Compare the fitness of the third graph with the second graph, and determine that the proposed enterprises corresponding to the third graphs with a feature difference less than a second preset value from the second graph meet the enterprise entry requirements in the management rules for recruited merchants, and determine the proposed enterprises corresponding to the third graphs as target enterprises; Arrange the target enterprises according to the position information of the secondary nodes in the architectural drawings according to the topological structure corresponding to the third graph, so as to output the recruitment strategy corresponding to the target enterprises.

[0007] According to one aspect of the above technical solution, the steps of constructing a first graph with the main node as the geometric center point and a second graph with the secondary node as the geometric center point according to the preset management rules for recruited merchants, and the second graph is a derivative graph of the first graph, include: Obtain the management rules for recruited merchants corresponding to various industrial chains, split the management rules for recruited merchants, and obtain several management sub-rules; Characterize the numerical values recorded in the management sub-rules, and output the description values corresponding to the management sub-rules; According to the number of the management sub-rules and the magnitude of the description values, construct a corresponding first graph with the main node as the geometric center point, and derive the first graph to obtain several second graphs with the secondary node as the geometric center point.

[0008] 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 magnitude of the description values, and deriving the first graph to obtain several second graphs with the secondary node as the geometric center point, include: According to the number of the management sub-rules and the magnitude of the description values, with the main node as the geometric center, the number of the management sub-rules as the number of rhombus sides, and the magnitude of the description values as the length of the rhombus sides, construct a first graph corresponding to the main node; According to the magnitude of the description values, correspondingly adjust the length of any rhombus side in the first graph to obtain several second graphs derived from the first graph and corresponding to the secondary nodes.

[0009] According to one aspect of the above technical solution, the steps of correspondingly adjusting the length of any rhombus side in the first graph according to the magnitude of the description values to obtain several second graphs derived from the first graph and corresponding to the secondary nodes: Among several second figures topologically connected to the first figure, the number of diamond edges of all the second figures is equal to that of the first figure, and the length of at least one diamond edge in all the second figures has a length difference from the length of the corresponding diamond edge in the first figure.

[0010] According to one aspect of the above technical solution, the steps of obtaining the enterprise qualification information of the to-be-settled enterprise intending to settle in the target park and constructing a third figure according to the enterprise qualification information include: Obtain the enterprise qualification information of the to-be-settled enterprise intending to settle in the target park; According to the enterprise qualification information of the to-be-settled enterprise, score various qualifications of the to-be-settled enterprise to obtain a score data table; Construct a third figure corresponding to the to-be-settled enterprise according to the score data table.

[0011] According to one aspect of the above technical solution, the steps of constructing a third figure corresponding to the to-be-settled enterprise according to the score data table include: Obtain the score data table, and extract the scoring items and score values in the score data table; According to the number of the scoring items and the magnitude of the score values, with the secondary node as the geometric center, with the number of the scoring items as the number of diamond edges, and with the magnitude of the score values as the length of the diamond edges, construct a third figure corresponding to the secondary node.

[0012] According to one aspect of the above technical solution, the comparison of the fitness between the third figure and the first figure, and between the third figure and the second figure is a comparison of the differences in contour items and area items.

[0013] The second aspect of the present invention is to provide a recruitment and business invitation management system based on an industrial brain, which is applied to the method described in the above technical solution. The system includes: An acquisition module, configured to acquire the architectural drawings of the target park, and extract several supporting features in the target park according to the architectural drawings; A topology module, configured to output the industrial supporting structure of the target park based on the supporting features, and represent the industrial supporting structure to obtain several main nodes and several secondary nodes topologically connected to each main node; A first construction module, configured to construct a first figure with the main node as the geometric center point and construct a second figure with the secondary node as the geometric center point according to a preset recruitment and business invitation management rule, and the second figure is a derivative figure of the first figure; A second construction module, configured to obtain the enterprise qualification information of the to-be-settled enterprise intending to settle in the target park, and construct a third figure according to the enterprise qualification information; The first comparison module is used to compare the fitness of the third graph with the first graphs corresponding to a number of the main nodes, and determine that the prospective enterprise corresponding to the third graph with a feature difference less than the first preset value from the first graph meets the industrial chain requirements in the management rules for recruited merchants; The second comparison module is used to compare the fitness of the third graph with the second graph, determine that the prospective enterprise corresponding to the third graph with a feature difference less than the second preset value from the second graph meets the enterprise entry requirements in the management rules for recruited merchants, and determine the prospective enterprise corresponding to the third graph as the target enterprise; The strategy output module is used to arrange the target enterprises according to the position information of the secondary nodes in the building drawing according to the topological structure corresponding to the third graph, so as to output the recruitment strategy corresponding to the target enterprises.

[0014] The third aspect of the present invention lies in providing a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method described in the above technical solution is implemented.

[0015] The fourth aspect of the present invention lies in providing an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the method described in the above technical solution is implemented.

[0016] Compared with the prior art, the recruitment management method and system based on the industrial brain shown in the present invention have the beneficial effects that: By obtaining the building drawing of the target park, extracting several supporting features in the building drawing, outputting the industrial supporting structure based on the supporting features and performing topological characterization, obtaining a number of main nodes and a number of secondary nodes topologically connected to each main node, and then based on the preset management rules for recruited merchants, constructing the first graph with the main node as the geometric center point and deriving the second graph, constructing the third graph based on the enterprise qualification information of the prospective enterprise, then comparing the fitness of the third graph with the first graph in sequence, and comparing the fitness of the third graph with the second graph, and finally arranging the target enterprises according to the positions of the secondary nodes in the building drawing based on the topological structure corresponding to the third graph, so as to complete the recruitment management, the present invention solves the problem in the prior art that when recruiting merchants, the comparison and review of several materials make the site selection for enterprises have strong subjectivity, resulting in general matching degree in enterprise placement and affecting the development of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present invention will become apparent and easy to understand from the description of the embodiments in conjunction with the following drawings, wherein: Figure 1 Schematic flowchart of the investment promotion merchant management method based on the industrial brain in an embodiment of the present invention; Figure 2 Schematic diagram of the buildings in the target park in an embodiment of the present invention; Figure 3 Schematic topological structure diagram of constructing the first graph and deriving the second graph in an embodiment of the present invention; Figure 4 Block diagram of the structure of the investment promotion merchant management system based on the industrial brain in an embodiment of the present invention. Detailed implementation manners

[0018] To make the objectives, features, and advantages of the present invention more obvious and understandable, the following provides a detailed description of the specific implementation manners of the present invention with reference to the accompanying drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0019] It should be noted that when an element is referred to as being "fixedly provided on" another element, it can be directly on the other element or there can also be an intermediate element. When an element is considered to be "connected" to another element, it can be directly connected to the other element or there may be an intermediate element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are only for the purpose of illustration.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0021] Embodiment 1 Please refer to Figure 1 , the first embodiment of the present invention provides an investment promotion merchant management method based on the industrial brain, and the method includes steps S10 - S70: Step S10, obtain the building drawings of the target park, and extract several supporting features in the target park according to the building drawings.

[0022] In this embodiment, the target park is a park to be invested and attracted, which can be an industrial park mainly based on industry or a service park mainly based on service industry. For example Figure 2As shown in the figure, there can be multiple sub-parks or sub-regions within the target park, and there are certain differences in the characteristics of each sub-region to suit the concentrated development of various types of enterprises, such as e-commerce parks, digital parks, and so on.

[0023] Therefore, when conducting investment promotion management, it is necessary to first obtain the architectural drawings of the target park, which can be plane drawings, 3D drawings, rendering drawings, etc., and then divide the park according to the architectural drawings to identify the supporting features corresponding to several sub-regions. The supporting features include features such as water and electricity, network, and emissions that can affect the development of enterprises.

[0024] For example, if the target park plans to introduce a batch of digital information enterprises to settle in, the corresponding supporting features should mainly include network support, office support, etc., and there is no need to equip large workshops, etc. By extracting the supporting features of each sub-region of the target park from the architectural drawings, the industrial chain direction of this region can be clarified.

[0025] Step S20, based on the supporting features, output the industrial supporting structure of the target park, and represent the industrial supporting structure to obtain several main nodes and several sub-nodes topologically connected to each main node.

[0026] In this embodiment, after extracting the supporting features of the target park according to the architectural drawings, the industrial supporting structure of the target park will be output according to the supporting features of each sub-region within the target park, and then the industrial supporting structure will be represented. Specifically, the industrial supporting structure is topologically mapped with the architectural drawings as a template to obtain several main nodes and several sub-nodes topologically connected to each main node.

[0027] Among them, the type of the main node is determined according to the supporting features of each sub-region. For example, for a sub-region in the target park with a large workshop, it is determined that this sub-region is the location of industrial production enterprises, and then it is determined as the corresponding industrial production main node, and then several sub-nodes are determined according to this industrial production main node as the production sites of various industrial enterprises.

[0028] More specifically, the above main nodes are determined according to the types of enterprises in the enterprise cluster to be settled in, and the sub-nodes are determined according to the different characteristics of the same type of enterprises, so that multiple sub-nodes can be topologically connected under the same main node, that is, several production sites are determined in the same type of sub-region.

[0029] Step S30, according to the preset investment promotion management rules, construct a first graph with the main node as the geometric center point, and construct a second graph with the sub-node as the geometric center point, and the second graph is a derivative graph of the first graph.

[0030] In this embodiment, the steps of constructing a first figure with the main node as the geometric center point and a second figure with the secondary node as the geometric center point according to the preset management rules for co-opted merchants, and the second figure being a derivative figure of the first figure, include: Obtain the management rules for co-opted merchants corresponding to various industrial chains, split the management rules for co-opted merchants to obtain a number of management sub-rules; Characterize the values recorded in the management sub-rules and output description values corresponding to the management sub-rules; According to the number of the management sub-rules and the magnitude of the description values, construct a corresponding first figure with the main node as the geometric center point, and derive the first figure to obtain a number of second figures with the secondary node as the geometric center point.

[0031] Among them, the steps of constructing a corresponding first figure with the main node as the geometric center point according to the number of the management sub-rules and the magnitude of the description values, and deriving the first figure to obtain a number of second figures with the secondary node as the geometric center point include: According to the number of the management sub-rules and the magnitude of the description values, with the main node as the geometric center, with the number of the management sub-rules as the number of rhombus sides, and with the magnitude of the description values as the length of the rhombus sides, construct a first figure corresponding to the main node; According to the magnitude of the description values, correspondingly adjust the length of any rhombus side in the first figure to obtain a number of second figures derived from the first figure and corresponding to the secondary node.

[0032] Among them, the steps of correspondingly adjusting the length of any rhombus side in the first figure according to the magnitude of the description values to obtain a number of second figures derived from the first figure and corresponding to the secondary node: Among a number of second figures topologically connected to the first figure, the number of rhombus sides of all the second figures is equal to that of the first figure, and the length of at least one rhombus side in all the second figures has a length difference from the length of the corresponding rhombus side in the first figure.

[0033] In this embodiment, after obtaining the topological structure through characterization according to the industrial supporting structure, a first figure will be constructed with the main node as the geometric center and a second figure will be constructed with the secondary node as the geometric center according to the preset management rules for co-opted merchants, and 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 there will be a certain difference in the area size.

[0034] Specifically, since the management rules for recruiting and securing merchants corresponding to various industrial chains, that is, the applicable rules for various types of enterprises may be inconsistent, for example, there may be obvious differences in the applicable rules for industrial enterprises and service enterprises, the management rules for recruiting and securing merchants corresponding to various industrial chains are obtained, and the management rules for recruiting and securing merchants are split to obtain several management sub-rules, such as requiring that the registered capital of an enterprise is not less than RMB 10 million, the number of social security payers is not less than 100, and the amount of tax paid is not less than RMB 10 million. Then, the numerical values ​​recorded in each management sub-rule are characterized, and the descriptive value corresponding to each management sub-rule is output to express the strength of the enterprise in specific aspects, such as Figure 3 As shown, according to 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 the first graph is derived to derive several second graphs with the sub-nodes as the geometric center points.

[0035] It is easy to understand, for example, the merchant recruitment management rules for industrial enterprises include three management sub-rules: the enterprise's registered capital is not less than 10 million, the enterprise's number of taxpayers is not less than 100, and the tax amount is not less than 10 million. Then, based on the number of management sub-rules in the merchant recruitment management rules and the size of the corresponding description values, a first graph is constructed with the main node as the geometric center, and the corresponding second graph is derived. As for the merchant recruitment management rules for service companies, since they are light asset industries, the merchant recruitment management rules only require two management sub-rules: the enterprise's registered capital is not less than 1 million and the enterprise's number of taxpayers is not less than 20. Similarly, based on the number of management sub-rules in the merchant recruitment management rules and the size of the description values, a first graph is constructed with the main node as the geometric center, and the corresponding second graph is derived.

[0036] That is to say, since the number of management sub-rules in the rules for recruiting merchants applicable to various types of enterprises is different, on this basis, the first graph corresponding to each main node and the second graph derived therefrom will also be different. For example, the management rules for recruiting merchants that include three management sub-rules, the number of rhombuses on the first graph constructed based on it is 3, that is, a triangle, and the second graph derived from the first graph is a triangle with various rhombus lengths. For example, if the enterprise's tax amount is required to reach 20 million, the corresponding rhombus length can be 2 units, and if it reaches 30 million, it can be 3 units, and so on. Similarly, the management rules for recruiting merchants that include four management sub-rules, the number of rhombuses on the first graph constructed based on it is 4, that is, a quadrilateral, and the second graph derived from the first graph is a quadrilateral with various rhombus lengths.

[0037] In summary, the greater the number of management sub-rules involved in the management rules for attracting merchants, the greater the number of rhombus sides of the first graph constructed and the second graph derived therefrom. Moreover, the larger the number recorded in the management sub-rules, the longer the length of the rhombus sides. Of course, for management sub-rules where the enterprise risk requires the smaller the better, the smaller the number, the longer the length of the rhombus sides of the first graph constructed.

[0038] Step S40: Obtain the enterprise qualification information of the enterprise to be settled in the target park, and construct a third graph according to the enterprise qualification information.

[0039] Similarly, in this embodiment, in the same way of constructing a graph based on the management rules for attracting merchants, a third graph is constructed based on the enterprise qualification information of the enterprise to be settled.

[0040] Among them, the enterprise qualification information includes registered capital, paid-in capital, the number of enterprise taxpayers, tax amount, intellectual property rights, and enterprise risk coefficient, etc.

[0041] Step S50: Compare the fitness of the third graph with the first graphs corresponding to several main nodes, and determine that the enterprise to be settled corresponding to the third graph with a feature difference less than the first preset value meets the industrial chain requirements in the management rules for attracting merchants.

[0042] Step S60: Compare the fitness of the third graph with the second graph, and determine that the enterprise to be settled corresponding to the third graph with a feature difference less than the second preset value meets the enterprise settlement requirements in the management rules for attracting merchants, and determine the enterprise to be settled corresponding to the third graph as the target enterprise.

[0043] In this embodiment, after constructing the first graph and its derived second graph based on the management rules for attracting merchants in advance, and constructing the third graph based on the enterprise qualification information, first compare the fitness of the third graph with several first graphs. The higher the fitness, the smaller the feature difference, then it is determined that the enterprise to be settled meets the industrial chain requirements in the management rules for attracting merchants. Then, compare the third graph with several second graphs derived from the first graph in the above comparison. At the same time, when the fitness is higher and the feature difference is smaller, it is determined that the enterprise to be settled meets the enterprise settlement requirements in the management rules for attracting merchants and determine it as the target enterprise.

[0044] Specifically, in this embodiment, the fitness of the third graph and the first graph is compared in terms of contour and area, the purpose is to determine the sub-region of the enterprise to be settled in the target park, and the fitness of the third graph and the second graph is compared in terms of contour and area, the goal is to determine the specific location of the enterprise to be settled in the above sub-region.

[0045] It is easy to understand that the purpose of the above graphic fitness comparison is to first determine the surface and then determine the point, so as to select the location in the target park that best matches the conditions of the proposed enterprise in all aspects and provide it to the enterprise.

[0046] Step S70, according to the topological structure corresponding to the third graphic, arrange the target enterprise according to the position information of the deputy node in the architectural drawing, so as to output the recruitment strategy corresponding to the target enterprise.

[0047] Specifically, after comparing the fitness of the third graphic with the first graphic and the third graphic with the second graphic, the target enterprise will be arranged according to the position of the deputy node in the architectural drawing according to the topological structure corresponding to the third graphic, so as to output the recruitment strategy corresponding to the target enterprise.

[0048] For example, when there are 3 sub-parks in the target park, 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 above target enterprise, then the recruitment strategy corresponding to the target enterprise is output according to the position corresponding to the supporting facilities of the factory building in the architectural drawing.

[0049] In summary, compared with the prior art, the recruitment management method based on the industrial brain shown in this embodiment has the beneficial effects that: By obtaining the architectural drawing of the target park, extracting several supporting features in the architectural drawing, outputting the industrial supporting structure based on the supporting features and performing topological characterization, several main nodes and several deputy nodes topologically connected to each main node are obtained, and then based on the preset recruitment management rules, a first graphic is constructed with the main node as the geometric center point and a second graphic is derived, a third graphic is constructed based on the enterprise qualification information of the proposed enterprise, then the fitness of the third graphic and the first graphic is compared in turn, and the fitness of the third graphic and the second graphic is compared, and finally based on the topological structure corresponding to the third graphic, the target enterprise is arranged according to the position of the deputy node in the architectural drawing, so as to complete the recruitment management, then the present invention solves the problem in the prior art that when recruiting, the comparison and review of several materials make the site selection for enterprises have strong subjectivity, resulting in general matching degree in enterprise placement and affecting the development of enterprises.

[0050] Embodiment 2 The second embodiment of the present invention also provides a recruitment management method based on the industrial brain. The method shown in this embodiment is basically the same as the method shown in the first embodiment, except that: In this embodiment, the step of obtaining the enterprise qualification information of the proposed enterprise to be located in the target park and constructing a third graphic according to the enterprise qualification information includes: Obtain the enterprise qualification information of the enterprises to be settled in the target park; According to the enterprise qualification information of the enterprises to be settled, score various qualifications of the enterprises to be settled to obtain a score data table; Construct a third graph corresponding to the enterprise to be settled according to the score data table.

[0051] Among them, the step of constructing a third graph corresponding to the enterprise to be settled according to the score data table includes: Obtain the score data table, and extract the scoring items and score values in the score data table; According to the number of the scoring items and the magnitude of the score values, with the secondary node as the geometric center, the number of the scoring items as the number of rhombus sides, and the magnitude of the score values as the rhombus side lengths, construct a third graph corresponding to the secondary node.

[0052] Embodiment III Please refer to Figure 4 , the third embodiment of the present invention provides a recruitment and merchant management system based on an industrial 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.

[0053] The acquisition module 10 is used to acquire the architectural drawings of the target park, and extract several supporting features in the target park according to the architectural drawings; The topology module 20 is used to output the industrial supporting structure of the target park based on the supporting features, represent the industrial supporting structure, and obtain several main nodes and several secondary nodes topologically connected to each main node; The first construction module 30 is used to construct a first graph with the main node as the geometric center point according to the preset recruitment and merchant management rules, and construct a second graph with the secondary node as the geometric center point, and the second graph is a derivative graph of the first graph; The second construction module 40 is used to obtain the enterprise qualification information of the enterprises to be settled in the target park, and construct a third graph according to the enterprise qualification information; The first comparison module 50 is used to compare the fitness of the third graph with the first graphs corresponding to several main nodes, and determine that the enterprises to be settled corresponding to the third graphs with the feature differences less than the first preset value from the first graphs meet the industrial chain requirements in the recruitment and merchant management rules; The second comparison module 60 is used to compare the third graphic with the second graphic for a degree of fit, determine that the enterprise to be settled in the third graphic whose feature difference with the second graphic is less than a second preset value meets the enterprise settlement requirements in the management rules for recruiting and securing merchants, and determine that the enterprise to be settled in the third graphic is the target enterprise; The strategy output module 70 is used to arrange the target enterprise according to the position information of the secondary node in the architectural drawing according to the topological structure corresponding to the third graph, so as to output the business recruitment strategy corresponding to the target enterprise.

[0054] Compared with the prior art, the employment and security agent management system based on the industrial brain shown in this embodiment has the following beneficial effects: By acquiring the architectural drawings of the target park, extracting several supporting features in the architectural drawings, outputting the industrial supporting structure based on the supporting features and performing topological representation, a number of main nodes and a number of sub-nodes topologically connected to each main node are obtained, and then based on the preset management rules for recruiting and settling merchants, a first graph is constructed with the main node as the geometric center point and a second graph is derived, a third graph is constructed based on the enterprise qualification information of the enterprise to be settled, and then the third graph is compared with the first graph for fit, and the third graph is compared with the second graph for fit, and finally, based on the topological structure corresponding to the third graph, the target enterprise is arranged according to the position of the sub-node in the architectural drawings, thereby completing the management of recruiting and settling merchants. The present invention solves the problem in the prior art that the site selection for the enterprise is highly subjective due to the comparison and review of several materials when recruiting and settling merchants, resulting in a general matching degree in the enterprise placement and affecting the development of the enterprise.

[0055] Embodiment 4 A fourth embodiment of the present invention provides a readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method described in the above embodiment is implemented.

[0056] Embodiment 5 A fifth embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the method described in the above embodiments when executing the computer program.

[0057] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0058] The above-described embodiments merely represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the patent for the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention shall be subject to the appended claims.

Claims

1. A method for managing recruitment agents based on industrial brain, characterized in that: The method comprises: Obtaining architectural drawings of a target park, and extracting a number of supporting features in the target park according to the architectural drawings; Based on the supporting features, the industrial supporting structure of the target park is output, the industrial supporting structure is characterized, and a plurality of main nodes and a plurality of secondary nodes topologically connected to each main node are obtained; According to the preset management rules for recruiting merchants, a first graph is constructed with the main node as the geometric center point, and a second graph is constructed with the secondary node as the geometric center point, and the second graph is a derivative graph of the first graph; Acquire enterprise qualification information of the enterprises that intend to settle in the target park, and construct a third graph according to the enterprise qualification information; Compare the third graph with the first graphs corresponding to the plurality of the main nodes for a degree of fit, and determine that the proposed settled enterprise corresponding to the third graph having a feature difference with the first graph less than a first preset value meets the industrial chain requirements in the management rules for recruiting merchants; Compare the third graphic with the second graphic for a degree of fit, determine that the enterprise to be settled in the third graphic, whose feature difference with the second graphic is less than a second preset value, meets the enterprise settlement requirements in the management rules for recruiting merchants, and determine that the enterprise to be settled in the third graphic 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 architectural drawing, so as to output a business recruitment strategy corresponding to the target enterprise.

2. The method for managing recruitment agents based on industrial brain according to claim 1 is characterized in that: According to the preset management rules for recruiting merchants, the step of constructing a first graph with the main node as the geometric center point, and constructing a second graph with the secondary node as the geometric center point, wherein the second graph is a derivative graph of the first graph, includes: Obtain the business recruitment management rules corresponding to various industrial chains, split the business recruitment management rules, and obtain a number of management sub-rules; Characterizing the numerical value recorded in the management sub-rule, and outputting a description value corresponding to the management sub-rule; According to the number of the management sub-rules and the size of the description value, a corresponding first graph is constructed with the main node as the geometric center point, and the first graph is derived to obtain a plurality of second graphs with the sub-nodes as the geometric center points.

3. The method for managing recruitment agents based on industrial brain according to claim 2 is characterized in that: According to the number of the management sub-rules and the size of the description value, a corresponding first graph is constructed with the main node 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, including: According to the number of the management sub-rules and the size of the description value, the main node is used as the geometric center, the number of the management sub-rules is used as the number of diamond edges, and the size of the description value is used as the diamond edge length, a first graph corresponding to the main node is constructed; According to the size of the description value, the length of any diamond edge in the first graph is adjusted accordingly to obtain a plurality of second graphs derived from the first graph and corresponding to the secondary nodes.

4. The method for managing recruitment agents based on the industrial brain according to claim 3 is characterized in that: According to the size of the description value, the length of any diamond edge in the first graph is adjusted accordingly to obtain a plurality of second graphs derived from the first graph and corresponding to the secondary nodes: Among several second graphics topologically connected to the first graphics, all the second graphics have the same number of diamond edges as the first graphics, and the diamond edge length of at least one diamond edge in all the second graphics is different from the diamond edge length of the corresponding diamond edge in the first graphics.

5. The method for managing recruitment agents based on industrial brain according to claim 1 is characterized in that: The step of obtaining enterprise qualification information of an enterprise to be settled in the target park and constructing a third graph according to the enterprise qualification information comprises: Obtaining the enterprise qualification information of the enterprises that intend to settle in the target park; According to the enterprise qualification information of the enterprise to be settled in, various qualifications of the enterprise to be settled in are scored to obtain a scoring data table; According to the scoring data table, a third graph corresponding to the proposed enterprise is constructed.

6. The method for managing recruitment agents based on industrial brain according to claim 5 is characterized in that: The step of constructing a third graph corresponding to the proposed enterprise according to the scoring data table comprises: Obtain the scoring data table, and extract the scoring items and scoring values ​​in the scoring data table; According to the number of the scoring items and the size of the scoring value, a third graph corresponding to the sub-node is constructed with the sub-node as the geometric center, the number of the scoring items as the number of diamond edges, and the size of the scoring value as the diamond edge length.

7. The method for managing recruitment agents based on the industrial brain according to claims 1-6 is characterized in that: The comparison of the degree of fit between the third figure and the first figure, and between the third figure and the second figure is a difference comparison of the contour item and the area item.

8. A recruitment and security agent management system based on the industrial brain, characterized in that: The method applied to any one of claims 1 to 7, wherein the system comprises: An acquisition module, used to acquire architectural drawings of a target park, and extract a number of supporting features in the target park according to the architectural drawings; A topology module, used for outputting the industrial supporting structure of the target park based on the supporting features, characterizing the industrial supporting structure, and obtaining a number of main nodes and a number of secondary nodes topologically connected to each main node; A first construction module is used to construct a first graph with the main node as the geometric center point according to a preset recruitment and management rule, and to construct a second graph with the secondary node as the geometric center point, and the second graph is a derivative graph of the first graph; A second construction module is used to obtain enterprise qualification information of the enterprise to be settled in the target park, and construct a third graph according to the enterprise qualification information; A first comparison module is used to compare the third graph with the first graphs corresponding to the plurality of the main nodes for a degree of fit, and determine that the proposed settled enterprise corresponding to the third graph having a feature difference with the first graph less than a first preset value meets the industrial chain requirements in the management rules for recruiting merchants; A second comparison module is used to compare the third graphic with the second graphic for a degree of fit, determine that the enterprise to be settled in the third graphic whose feature difference with the second graphic is less than a second preset value meets the enterprise settlement requirements in the management rules for recruiting and securing merchants, and determine that the enterprise to be settled in the third graphic is the target enterprise; The strategy output module is used to arrange the target enterprise according to the position information of the secondary node in the architectural drawing according to the topological structure corresponding to the third graph, so as to output the business recruitment strategy corresponding to the target enterprise.

9. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of being executed on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

Images