Intelligent business environment analysis and decision-making system based on big data

Abstract

The invention relates to the technical field of data analysis, in particular to an intelligent business environment analysis and decision-making system based on big data, which comprises a type division unit for dividing settled enterprises in an industrial park into manufacturing enterprises and technology research and development enterprises and calculating a ratio, and combining a ratio of a standardized plant area to an office building area in the industrial park to obtain a decision-making result; dividing the industrial park into a manufacturing type industrial park or a technology research and development type industrial park; the park evaluation unit is used for analyzing and calculating a regional development index, a logistics transportation index, a distance influence index and a personnel circulation index; and the matching evaluation unit is used for comparing types between the target enterprise and the target park to obtain a type matching value, and calculating a recommendation value of the target park for the target enterprise in combination with the regional development index, the logistics transportation index, the distance influence index and the personnel circulation index.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to an intelligent analysis and decision-making system for a business environment based on big data. Background Art

[0002] The business environment intelligent analysis and decision-making system based on big data is an intelligent system that collects, processes, analyzes, predicts and supports decisions on various types of data on the business environment in industrial parks through technical means such as big data technology, artificial intelligence (AI) and machine learning. Its main goal is to help management departments, enterprises and related institutions understand, evaluate and optimize the business environment in industrial parks in real time, provide accurate decision-making support, and thus promote economic development and improve business operation efficiency.

[0003] When providing services to enterprises, the system will conduct multi-angle evaluation and analysis of the business environment in the industrial park from the perspective of the enterprise. However, the systems in the existing technology usually focus the analysis of the business environment on the support of the management department and risk assessment, and ignore the analysis of supporting facilities. In particular, there is a lack of analysis and evaluation of public transportation supporting facilities in the industrial park, which makes it difficult for enterprises to understand whether the industrial park has a good commuting and office environment. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent analysis and decision-making system for the business environment based on big data, which can effectively solve the problem of the lack of evaluation and analysis of public transportation supporting facilities in industrial parks in the prior art.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: The present invention provides a business environment intelligent analysis and decision-making system based on big data, including: Type classification unit: divide the enterprises in the industrial park into manufacturing enterprises and technology R&D enterprises and calculate the ratio. Combined with the ratio of standardized factory area and office building area in the industrial park, the industrial park is divided into a manufacturing industrial park or a technology R&D industrial park; The park assessment unit calculates the regional development index based on the analysis of various coverage areas, dormitory occupancy and parking space construction in the industrial park; Calculate the logistics and transportation index based on distance analysis of various types of transportation hubs; Calculate the distance impact index based on the location of multiple public transportation stations and the distribution of vacant buildings in the industrial park; Based on the regional development index, combined with the total number of employees in the industrial park, the total number of companies that have settled in, and the total number of companies that are expected to settle in, the estimated number of employees is calculated, the number of parking spaces in the industrial park is recorded and analyzed to obtain the average parking space usage, the interval between traffic shifts at each station location and the number of passengers that each shift can accommodate are counted, and the total traffic throughput is calculated and analyzed; The personnel circulation index is calculated based on the estimated number of employees, average berth usage, total traffic throughput, the total number of employees that can be accommodated in the staff dormitory, and the regional development index; The matching evaluation unit compares the types of the target enterprise and the target park to obtain the type matching value, and calculates the recommended value of the target park for the target enterprise by combining the regional development index, logistics and transportation index, distance impact index and personnel circulation index.

[0006] Furthermore, the classification process of settled enterprise types is as follows: There are preset manufacturing industry sets and technology research and development industry sets; Obtain any industry name as the target name, perform phrase splitting on the target name, split the target name into multiple phrases, bind multiple manufacturing-related verbs to the manufacturing industry set, and bind multiple technology-related verbs to the technology research and development industry set. When any phrase in the target name belongs to a manufacturing-related verb, the industry name is classified into the manufacturing industry set; when any phrase in the target name belongs to a technology-related verb, the industry name is classified into the technology research and development industry set. The industry to which each settled enterprise belongs is obtained. When the industry to which the settled enterprise belongs belongs to the manufacturing industry set, it is recorded as a manufacturing enterprise. When the industry to which the settled enterprise belongs belongs to the technology research and development industry set, it is recorded as a technology research and development enterprise.

[0007] Furthermore, the classification process of industrial park types is as follows: The proportion of manufacturing enterprises and the proportion of technology R&D enterprises in the settled enterprises are respectively obtained and recorded as the manufacturing proportion and R&D share , obtain the standardized factory area and office building area in the industrial park and record them as , , substitute into the formula Calculate the type evaluation value DL, where All are preset weight coefficients; A type assessment threshold is preset. When the type assessment value is greater than the type assessment threshold, the industrial park is marked as a manufacturing industrial park. When the type assessment value is less than or equal to the type assessment threshold, the industrial park is marked as a technology research and development industrial park.

[0008] Furthermore, the regional development index calculation process is as follows: The building coverage area, road coverage area and green coverage area of ​​the industrial park are recorded as , obtain the total planned area of ​​the industrial park and record it as , obtain the total number of employees that can be accommodated in the employee dormitory in the industrial park and the total number of employees who have moved in, and record them as , obtain the total number of planned parking spaces in the industrial park and the total number of currently marked parking spaces and record them as , substitute into the formula The regional development index is calculated , The weight coefficients are preset. It is the preset green ratio value.

[0009] Furthermore, the calculation process of the logistics and transportation index is as follows: Obtain the locations of multiple different types of transportation hubs around the industrial park, and obtain the distance between each transportation hub and the industrial park as the logistics distance. , i is the serial number of various types of transportation hubs, i=1,2,…,j, j is the total number of transportation hub types, and the logistics distance Arrange them in order from smallest to largest and take the first three and record them as ; Substitute into the formula The logistics and transportation index is calculated by ,in These are all preset weight coefficients.

[0010] Furthermore, the personnel turnover index calculation process is as follows: Get the total number of employees in the industrial park and record it as , the total number of employees Substitute into the formula Calculate the expected number of employees ,in: k is a preset constant coefficient; Indicates the total number of companies that have settled in; It indicates the total number of enterprises expected to be settled in the industrial park; Get the number of parking spaces in the industrial park, get the maximum and minimum number of parking spaces on the day and calculate the difference to get the berth flow value, get the average of the berth flow values ​​in the last Q working days as the average berth usage value ; Obtain the schedules of multiple different transportation tools corresponding to the locations of various stations around the industrial park and record them as transportation schedules , n is the serial number of the transportation trip, n=1,2,…,m, m is the total number of transportation trips, and the interval between each transportation trip and the number of passengers that each trip can accommodate are obtained, which are recorded as , substitute into the formula Calculate the total traffic throughput value , where T is the preset peak period; Get the estimated number of employees , Average berth usage , Total traffic throughput And the total number of employees that can be accommodated in the staff dormitory in the industrial park ; Substitute into the formula Calculate the personnel circulation index ,in is the preset compensation coefficient.

[0011] Furthermore, the recommended value calculation process is as follows: A type matching value is preset. When the types of the target enterprise and the target park match, the type matching value is assigned to 1. When the types of the target enterprise and the target park do not match, the type matching value is assigned to 0. Get the regional development index of the target park , Logistics and Transportation Index , distance impact index and personnel turnover index And normalize it and substitute it into the formula Calculate and get the recommended value ,in: R is the type matching value; All are preset weight coefficients; When the target enterprise is a manufacturing enterprise, ; When the target enterprise is a technology R&D enterprise, ; are preset constant values, and .

[0012] Furthermore, the calculation process of the demand adaptation value is as follows: Step 1: Calculate the regional development index of each industrial park at a fixed interval to obtain the regional development index of the same industrial park at different times. While calculating the regional development index, analyze and calculate the surrounding infrastructure data of the industrial park to obtain the surrounding development index. The specific calculation process of the surrounding development index is as follows: Draw a range circle with the industrial park as the center and the preset range value r as the radius. The area within the range circle is recorded as the surrounding area. The roads with more than two lanes are recorded as standard roads. The total length and total area of ​​standard roads in the area around the industrial park are recorded as , the number of intersections controlled by traffic lights and the number of intersections without traffic lights in the area around the industrial park are obtained and recorded as , after normalization, enter the formula Calculate the surrounding development index ,in is the preset proportional coefficient; Step 2: Obtain the regional development index and surrounding development index corresponding to the same time, multiply them by the preset weight coefficients after normalization, and sum them to obtain the comprehensive development index. Perform time series analysis based on the comprehensive development index measured at multiple time points to construct an ARIMA time series model. Get the target company's estimated entry time Based on the ARIMA time series model, the park is suitable for the expected entry time. The comprehensive development index at that time is recorded as the development correction value ; Step 3: Obtain the total number of employees expected to be recruited by the target company And the average salary of the employees to be recruited , substitute into the formula Calculate the traffic demand of the target enterprise ,in is the preset weight coefficient, e is a natural constant; Step 4: Obtain the recommended value between the target enterprise and the target park. A recommended threshold is preset. When the recommended value is greater than or equal to the recommended threshold, the target park is recorded as a suitable park. Obtain the recommended value between the target enterprise and the suitable park, the development correction value, and the target enterprise's traffic demand, and substitute them into the formula Calculate in and get any demand adaptation value suitable for the park and the target enterprise ,in: It indicates the regional development index suitable for the current situation of the park; ; is the preset scaling factor.

[0013] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the above system when executing the computer program.

[0014] A computer-readable storage medium stores a computer program, which implements the above system when executed by a processor.

[0015] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the above system when executing the computer program.

[0016] A computer-readable storage medium stores a computer program, which implements the above system when executed by a processor.

[0017] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects: 1. The present invention can not only distinguish the industry types of different enterprises, but also comprehensively judge the types of different industrial parks from the two aspects of building type and enterprise type through type evaluation values, so as to facilitate enterprises that have not settled in to distinguish the industrial development direction of the industrial park, and facilitate enterprises to understand whether they are suitable for settling in the industrial park, and try to avoid the differences in resource allocation, sharing and collaborative innovation among different types of industrial parks. In addition, the classification of industrial park types based on type evaluation values ​​helps enterprises to gather on demand, form industrial clusters, and promote collaboration, technological innovation and knowledge sharing among enterprises. 2. The present invention conducts multi-angle evaluation and analysis of industrial parks by analyzing and calculating the regional development index, logistics and transportation index, distance impact index and personnel circulation index, so as to judge the degree of planning and construction, logistics convenience and commuting difficulty within the industrial park. The present invention can combine the above multiple index data and the type matching between the target enterprise and the target park, analyze and calculate the recommended value of the target park for the target enterprise, and help the target enterprise to evaluate the target park in terms of type adaptation and business environment, so as to judge whether the target park is suitable as an entry option. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0019] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The present invention will be further described below in conjunction with the embodiments.

[0022] See also Figure 1 , the business environment intelligent analysis and decision-making system based on big data shall at least include: Type division unit: divides industrial parks into manufacturing industrial parks or technology research and development industrial parks according to the building distribution data and enterprise industry distribution data in the industrial parks, among which: The enterprises that have settled in the industrial park are recorded as settled enterprises, the total number of settled enterprises is obtained, and the industry to which each settled enterprise belongs is obtained and analyzed: There are preset manufacturing industry sets and technology R&D industry sets. The manufacturing industry sets and technology R&D industry sets contain multiple industry types. When the industry to which the settled enterprise belongs belongs to the manufacturing industry set, it will be recorded as a manufacturing enterprise. When the industry to which the settled enterprise belongs belongs to the technology R&D industry set, it will be recorded as a technology R&D enterprise. It should be noted that the construction process of the manufacturing industry set and the technology research and development industry set is as follows: Get any industry name as the target name, split the target name into phrases, split the target name into multiple phrases (each phrase is a separate verb, noun or adverb), bind multiple manufacturing-related verbs (such as production, processing, manufacturing) to the manufacturing industry set, and bind multiple technology-related verbs (such as development, service) to the technology research and development industry set. When any phrase in the target name belongs to a manufacturing-related verb, the industry name is classified into the manufacturing industry set. When any phrase in the target name belongs to a technology-related verb, the industry name is classified into the technology research and development industry set. By constructing a manufacturing industry set and a technology research and development industry set, it is helpful to distinguish the industry categories to which different enterprises belong, and then distinguish the main types of enterprises in the industrial park, helping enterprises to investigate the future development direction of the industrial park before settling in.

[0023] The proportion of manufacturing enterprises and the proportion of technology R&D enterprises in the settled enterprises are respectively obtained and recorded as the manufacturing proportion and R&D share , based on the structural area of ​​the industrial park, it can be divided into a manufacturing industrial park or a technology research and development industrial park. Specifically, the standardized factory area and office building area in the industrial park are recorded as , , substitute into the formula Calculate the type evaluation value DL, where They are all preset weight coefficients (in a specific embodiment, the values ​​are all 0.5), and a type assessment threshold is preset. When the type assessment value is greater than the type assessment threshold, the industrial park is marked as a manufacturing industrial park. When the type assessment value is less than or equal to the type assessment threshold, the industrial park is marked as a technology research and development industrial park.

[0024] It should be noted that the type assessment value comprehensively reflects the proportion of manufacturing industry and R&D industry in the current industrial park from the two aspects of building type and enterprise type, so as to facilitate enterprises that have not settled in to distinguish the industrial development direction of the industrial park and understand whether they are suitable for settling in the industrial park. Different types of industrial parks have differences in resource allocation, sharing and collaborative innovation. Enterprises in manufacturing parks can share supply chains, logistics and production facilities, while R&D parks can improve their overall competitiveness through technical cooperation and cross-border innovation. Therefore, the classification of industrial park types based on type assessment values ​​helps enterprises to gather on demand, form industrial clusters, and promote collaboration, technological innovation and knowledge sharing among enterprises.

[0025] The park evaluation unit is used to evaluate the industrial development of the park by integrating multiple data within the industrial park, so as to facilitate enterprises to understand the overall development strength of the industrial park and attract enterprises to settle in. Among them: Evaluate the development and construction level of the industrial park: The building coverage area, road coverage area and green coverage area of ​​the industrial park are recorded as , obtain the total planned area of ​​the industrial park and record it as , obtain the total number of employees that can be accommodated in the employee dormitory in the industrial park and the total number of employees who have moved in, and record them as , obtain the total number of planned parking spaces in the industrial park and the total number of currently marked parking spaces and record them as , substitute into the formula The regional development index is calculated , where all are preset weight coefficients (in a specific embodiment, the values ​​are 0.5, 0.2 and 0.3), is a preset green ratio value (indicating the green coverage ratio expected during planning, and in a specific embodiment, the value is 0.3); It should be noted that the regional development index is significantly correlated with the degree of building development in the industrial park. The regional development index can not only indirectly reflect whether the buildings and greening in the industrial park have reached the expected level during the design and planning, but also reflect the dormitory occupancy and parking space construction progress in the industrial park. The larger the regional development index, the closer the building coverage and greening coverage in the industrial park are to the planning goals, and the dormitories are fully used and the parking spaces are well constructed, which means that the development level in the industrial park is relatively complete, and the subsequent development will not affect the office of enterprises in the park. It is more suitable as an option for enterprises to settle in.

[0026] Evaluate the supporting facilities of the industrial park: Obtain the locations of multiple different types of transportation hubs around the industrial park. The types of transportation hubs include aviation, railways, roads, and water transportation. Obtain the distance between each transportation hub and the industrial park and record it as the logistics distance , i is the serial number of various types of transportation hubs, i=1,2,…,j, j is the total number of transportation hub types, and the logistics distance Arrange them in order from smallest to largest and take the first three and record them as , substitute into the formula The logistics and transportation index is calculated ,in are preset weight coefficients (in a specific embodiment, the values ​​are 0.8 and 0.2); It should be noted that the logistics and transportation index reflects the distance between the industrial park and the transportation hubs corresponding to various logistics and transportation modes. The size of this index significantly affects whether the industrial park can form a good and convenient access relationship with the logistics network. When the logistics and transportation index is smaller, it means that the distance between the industrial park and the logistics network is smaller, and it is easier to transport the products in the industrial park to other locations through the logistics network.

[0027] Get the location of multiple public transportation stations around the industrial park. Public transportation includes but is not limited to buses, subways, and light rails. Get the distribution of vacant buildings in the industrial park. Vacant buildings refer to buildings with space that can accommodate enterprises. Get the distance between the vacant buildings and the location of each station and calculate the average value as the traffic impact value of the vacant building. Calculate the average value of the traffic impact values ​​of each vacant building and record it as the distance impact index. ; It should be noted that the distance impact index comprehensively reflects the distance relationship between the remaining habitable buildings in the industrial park and the surrounding public transportation stations. The index aims to help companies understand whether the remaining habitable buildings in the industrial park are suitable as office addresses (the premise of the location of the office address should be good commuting conditions, otherwise it will not be conducive to attracting talents and business meetings).

[0028] Get the total number of employees in the industrial park and record it as , the total number of employees Substitute into the formula Calculate the expected number of employees ,in: k is a preset constant coefficient (in a specific embodiment, the value is 0.5); Indicates the total number of companies that have settled in; It indicates the total number of enterprises expected to be settled in the industrial park; Get the total number of currently marked parking spaces in the industrial park and subtract the real-time number of remaining parking spaces to get the real-time number of parking spaces in the industrial park as the parking number. Get the maximum and minimum parking numbers of the day and calculate the difference to get the parking flow value. Get the average of the parking flow values ​​in the last Q working days and record it as the parking space usage average. The mean value of parking space usage reflects the current daily difference in the number of private cars entering and leaving the industrial park (i.e., the number of vehicles that choose to drive to and from get off work in the industrial park). This value will affect the number of people who choose public transportation in the industrial park. Obtain the schedules of multiple different transportation tools corresponding to the locations of various stations around the industrial park and record them as transportation schedules , n is the serial number of the transportation trip, n=1,2,…,m, m is the total number of transportation trips (trains or buses of different trips at the same station are recorded as a single transportation trip), obtain the interval between each transportation trip and the number of passengers that each trip can accommodate, recorded as , substitute into the formula Calculate the total traffic throughput value , where T is a preset peak period (in a specific embodiment, the value is 2 hours); The process of obtaining the number of passengers that can be accommodated for each flight is as follows: Set the analyzed shift as the target shift and set a monitoring time interval ,in The preset recording time (in a specific embodiment, the value is 17:00) is used to count the number of times the target shift passes the corresponding station locations around the industrial park within the monitoring time interval, record the number of people getting on the bus each time it passes, and calculate the average number of people getting on the bus during multiple passes within the monitoring time interval as the number of passengers that the target shift can accommodate.

[0029] Get the estimated number of employees , Average berth usage , Total traffic throughput And the total number of employees that can be accommodated in the staff dormitory in the industrial park , substitute into the formula Calculate the personnel circulation index ,in is a preset compensation coefficient (used for the proportional error between the difference in the number of private car passengers and the number of private car passengers, that is, the average number of passengers in each private car is often greater than 1, and in a specific embodiment, the value is 1.2) It should be noted that, on the one hand, the present invention mainly uses the data of used and developed facilities in the industrial park to predict and analyze the situation after the industrial park is fully developed and fully settled by enterprises, and then calculates the public transportation travel situation of employees when the industrial park is fully used in the future (i.e., the formula On the other hand, the difference between the predicted amount and the current public transport capacity (i.e., ) is used to evaluate the adaptation relationship between the flow of employees in the industrial park during rush hours and the public transportation throughput, thereby reflecting whether the public transportation supporting facilities around the industrial park can absorb the commuting flow of employees after the enterprises in the industrial park are fully settled in. The larger the personnel circulation index is, the more it means that the industrial park does not have supporting public transportation facilities to cope with the travel problems of employees during rush hours in the morning and evening.

[0030] The matching evaluation unit evaluates the recommended value between the enterprise and the industrial park based on the enterprise data and the industrial park data, and then provides the recommended value to the enterprise and provides decision-making guidance for it, including: The evaluated enterprise and industrial park are recorded as target enterprise and target park respectively, and a type matching value is preset. When the types of the target enterprise and the target park are consistent (that is, the target enterprise and the target park are both manufacturing-type or both are technology research and development-type), the type matching value is assigned to 1; when the types of the target enterprise and the target park are inconsistent (that is, one of the target enterprise and the target park is manufacturing-type and the other is technology research and development-type), the type matching value is assigned to 0; When the target enterprise is a manufacturing enterprise, obtain the regional development index of the target park , Logistics and Transportation Index , distance impact index and personnel turnover index And normalize it and substitute it into the formula Calculate and get the recommended value , where R is the type matching value, is a preset weight coefficient (in a specific embodiment, The values ​​are 1.5, 3, and 2 respectively); When the target enterprise is a technology R&D enterprise, obtain the regional development index of the target park , Logistics and Transportation Index , distance impact index and personnel turnover index And normalize it and substitute it into the formula Calculate and get the recommended value , where R is the type matching value, is a preset weight coefficient (in a specific embodiment, The values ​​are 1.5, 1.8, and 2 respectively), and .

[0031] It should be noted that, based on the type adaptation comparison between the target enterprise and the target park, the recommended value between the target enterprise and the target park is further analyzed and calculated, and a recommended evaluation of the target park is provided to the target enterprise based on its industry type. The recommended evaluation focuses on analyzing the various facility indexes in the target park. When the enterprise inspects the business environment of the park, it can help the enterprise comprehensively evaluate whether the facilities in the target park have convenient logistics connection paths and whether they can provide a good transportation commuting environment for the employees of the enterprise, thereby judging whether the business environment of the industrial park is suitable for attracting talents.

[0032] Also includes: The decision-making guidance unit provides selection guidance for target enterprises based on the recommended values ​​between target enterprises and target parks combined with the target enterprises’ own data for further analysis, including: Obtain the recommended value between the target enterprise and the target park, with a preset recommended threshold; When the recommended value is less than the recommended threshold, the target park is recorded as an unsuitable park, and a park environment unsuitability signal is generated; When the recommended value is greater than or equal to the recommended threshold, the target park is recorded as a suitable park and the traffic demand analysis of the target enterprise is performed. Based on the demand, a horizontal comparative analysis is performed on multiple suitable parks, as follows: Get the total number of employees expected to be recruited by the target company And the average salary of the employees to be recruited (i.e. the average salary of all recruited employees), substitute it into the formula Calculate the traffic demand of the target enterprise ,in is the preset weight coefficient, e is a natural constant; Furthermore, the regional development index of each industrial park is calculated at fixed intervals to obtain the regional development index of the same industrial park at different times. While calculating the regional development index, the surrounding infrastructure data of the industrial park is analyzed and calculated to obtain the surrounding development index. The specific calculation process of the surrounding development index is as follows: Draw a range circle with the industrial park as the center and the preset range value r as the radius. The area within the range circle is recorded as the surrounding area. The roads with more than two lanes are recorded as standard roads. The total length and total area of ​​standard roads in the area around the industrial park are recorded as , the number of intersections controlled by traffic lights and the number of intersections without traffic lights in the area around the industrial park are obtained and recorded as , after normalization, enter the formula Calculate the surrounding development index ,in is a preset proportionality factor (in a specific embodiment, the value is 1.5); It should be noted that an industrial park is recorded as a target park only when it is matched with a target enterprise. That is to say, there is no substantial difference between a target park and an industrial park, which does not affect the analysis process of the target park as an analysis object in any unit. The purpose of the differentiated description is only to distinguish its reference in different units for the convenience of understanding by technical personnel in this field.

[0033] The surrounding development index reflects the development of transportation facilities within a certain range around the industrial park, and is particularly significantly correlated with the road width. The wider the surrounding road coverage and the wider the unit width, the smaller the probability of traffic congestion within the range, which means that the industrial park can more easily overcome the problem of road congestion during rush hours.

[0034] Obtain the regional development index and surrounding development index corresponding to the same time, multiply them by the preset weight coefficients after normalization, and sum them to obtain the comprehensive development index (in a specific embodiment, the preset weights corresponding to the regional development index and the surrounding development index are both 0.5), perform time series analysis based on the comprehensive development index measured at multiple time points, construct an ARIMA time series model (used to represent the functional relationship of the comprehensive development index of a certain industrial park over time), and obtain the expected settlement time of the target enterprise Based on the ARIMA time series model, the park is suitable for the expected entry time. The comprehensive development index at that time is recorded as the development correction value ; The development correction value obtained by time series analysis based on the temporal characteristics of the development of transportation facilities in the industrial park and its surrounding areas can indirectly reflect the level of development of transportation facilities in the industrial park when the target enterprise actually moves in, and further analyze the adaptability of the industrial park to the target enterprise based on this value.

[0035] Obtain the recommended value between the target enterprise and the suitable park, the development correction value, and the target enterprise's traffic demand, and substitute them into the formula Calculate in and get any demand adaptation value suitable for the park and the target enterprise ,in: It indicates the regional development index suitable for the current situation of the park; ; It is a preset proportionality factor (set by the staff based on experience during specific implementation); The suitable park with the largest adaptation value to the target enterprise's needs is selected as the ideal park, and the ideal park is pushed to the target enterprise first.

[0036] It should be noted that the ideal park selected based on the demand adaptation value has the highest degree of satisfaction for the target enterprise's expected demand in terms of development level and degree of perfection of transportation facilities. That is to say, the ideal park can meet the commuting needs and experience of the target enterprise's employees after they move in to the park to the greatest extent among many suitable parks. The demand adaptation value is a predicted value corrected based on time series analysis. Compared with the technical solutions in the prior art that only evaluate the current traffic environment, it can more accurately predict the environmental changes in the industrial park and give an adaptively corrected adaptation evaluation value (i.e., the demand adaptation value).

[0037] A computer device includes a memory and a processor. The memory stores a computer program. The processor implements the above system when executing the computer program.

[0038] A computer-readable storage medium stores a computer program, which implements the above system when executed by a processor.

[0039] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. The business environment intelligent analysis and decision-making system based on big data is characterized by: include: Type classification unit: divide the enterprises settled in the industrial park into manufacturing enterprises and technology research and development enterprises and calculate the ratio, and divide the industrial park into manufacturing industrial park or technology research and development industrial park based on the structural area of ​​the industrial park; The park assessment unit calculates the regional development index based on the analysis of various coverage areas, dormitory occupancy and parking space construction in the industrial park; Calculate the logistics and transportation index based on the distance analysis of various types of transportation hubs; calculate the distance impact index based on the location of multiple public transportation stations and the distribution of vacant buildings in industrial parks; Based on the regional development index, combined with the total number of employees in the industrial park, the total number of companies that have settled in, and the total number of companies that are expected to settle in, the estimated number of employees is analyzed and calculated. The number of parking lots in the industrial park is recorded and analyzed to obtain the average parking space usage. The interval between traffic shifts at each station location and the number of passengers that can be accommodated on each shift are counted, and the total traffic throughput is analyzed and calculated. The personnel circulation index is calculated accordingly. The matching evaluation unit compares the types of the target enterprise and the industrial park to obtain the type matching value, and calculates the recommended value of the industrial park for the target enterprise by combining the regional development index, logistics and transportation index, distance impact index and personnel circulation index; It also includes a decision-making guidance unit, which calculates the demand based on the target enterprise's own data analysis, conducts a comprehensive analysis of the development index of the target park and its surrounding areas, and constructs a time series model to predict the comprehensive development index when the target enterprise moves in. Combined with the target enterprise's demand, it calculates the industrial park's demand adaptation value for the target enterprise and screens out the ideal park.

2. The business environment intelligent analysis and decision-making system based on big data according to claim 1 is characterized in that: The classification process of settled enterprise types is as follows: There are preset manufacturing industry sets and technology research and development industry sets; Obtain any industry name as the target name, perform phrase splitting on the target name, split the target name into multiple phrases, bind multiple manufacturing-related verbs to the manufacturing industry set, and bind multiple technology-related verbs to the technology research and development industry set. When any phrase in the target name belongs to a manufacturing-related verb, the industry name is classified into the manufacturing industry set; when any phrase in the target name belongs to a technology-related verb, the industry name is classified into the technology research and development industry set. The industry to which each settled enterprise belongs is obtained. When the industry to which the settled enterprise belongs belongs to the manufacturing industry set, it is recorded as a manufacturing enterprise. When the industry to which the settled enterprise belongs belongs to the technology research and development industry set, it is recorded as a technology research and development enterprise.

3. The business environment intelligent analysis and decision-making system based on big data according to claim 2 is characterized in that: The process of industrial park classification is as follows: The proportion of manufacturing enterprises and the proportion of technology R&D enterprises in the settled enterprises are respectively obtained and recorded as the manufacturing proportion and R&D share , obtain the standardized factory area and office building area in the industrial park and record them as , , substitute into the formula Calculate the type evaluation value DL, where All are preset weight coefficients; A type assessment threshold is preset. When the type assessment value is greater than the type assessment threshold, the industrial park is marked as a manufacturing industrial park. When the type assessment value is less than or equal to the type assessment threshold, the industrial park is marked as a technology research and development industrial park.

4. The business environment intelligent analysis and decision-making system based on big data according to claim 1 is characterized in that: The calculation process of regional development index is as follows: The building coverage area, road coverage area and green coverage area of ​​the industrial park are recorded as , obtain the total planned area of ​​the industrial park and record it as , obtain the total number of employees that can be accommodated in the employee dormitory in the industrial park and the total number of employees who have moved in, and record them as , obtain the total number of planned parking spaces in the industrial park and the total number of currently marked parking spaces and record them as , substitute into the formula The regional development index is calculated , The weight coefficients are preset. It is the preset green ratio value.

5. The business environment intelligent analysis and decision-making system based on big data according to claim 4 is characterized in that: The calculation process of the logistics and transportation index is as follows: Obtain the locations of multiple different types of transportation hubs around the industrial park, and obtain the distance values ​​between each transportation hub and the industrial park as logistics distances , i is the serial number of various types of transportation hubs, i=1,2,…,j, j is the total number of transportation hub types, and the logistics distance Arrange them in order from smallest to largest and take the first three and record them as ; Substitute into the formula The logistics and transportation index is calculated ,in These are all preset weight coefficients.

6. The business environment intelligent analysis and decision-making system based on big data according to claim 5 is characterized in that: The calculation process of personnel turnover index is as follows: Get the total number of employees in the industrial park and record it as , the total number of employees Substitute into the formula Calculate the expected number of employees ,in: k is a preset constant coefficient; Indicates the total number of companies that have settled in; It indicates the total number of enterprises expected to be settled in the industrial park; Get the number of parking spaces in the industrial park, get the maximum and minimum number of parking spaces on the day and calculate the difference to get the berth flow value, get the average of the berth flow values ​​in the last Q working days as the average berth usage value ; Obtain the schedules of multiple different transportation tools corresponding to the locations of various stations around the industrial park and record them as transportation schedules , n is the serial number of the transportation trip, n=1,2,…,m, m is the total number of transportation trips, and the interval between each transportation trip and the number of passengers that each trip can accommodate are obtained, which are recorded as , substitute into the formula Calculate the total traffic throughput value , where T is the preset peak period; Get the estimated number of employees , Average berth usage , Total traffic throughput And the total number of employees that can be accommodated in the staff dormitory in the industrial park ; Substitute into the formula Calculate the personnel circulation index ,in is the preset compensation coefficient.

7. The business environment intelligent analysis and decision-making system based on big data according to claim 6 is characterized in that: The recommended value calculation process is as follows: A type matching value is preset. When the types of the target enterprise and the target park match, the type matching value is assigned to 1. When the types of the target enterprise and the target park do not match, the type matching value is assigned to 0. Get the regional development index of the target park , Logistics and Transportation Index , distance impact index and personnel turnover index And normalize it and substitute it into the formula Calculate and get the recommended value ,in: R is the type matching value; All are preset weight coefficients; When the target enterprise is a manufacturing enterprise, ; When the target enterprise is a technology R&D enterprise, ; are preset constant values, and .

8. The business environment intelligent analysis and decision-making system based on big data according to claim 7 is characterized in that: The calculation process of the demand adaptation value is as follows: Step 1: Calculate the regional development index of each industrial park at a fixed interval to obtain the regional development index of the same industrial park at different times. While calculating the regional development index, analyze and calculate the surrounding infrastructure data of the industrial park to obtain the surrounding development index. The specific calculation process of the surrounding development index is as follows: Draw a range circle with the industrial park as the center and the preset range value r as the radius. The area within the range circle is recorded as the surrounding area. The roads with more than two lanes are recorded as standard roads. The total length and total area of ​​standard roads in the area around the industrial park are recorded as , the number of intersections controlled by traffic lights and the number of intersections without traffic lights in the area around the industrial park are obtained and recorded as , after normalization, enter the formula Calculate the surrounding development index ,in is the preset proportional coefficient; Step 2: Obtain the regional development index and surrounding development index corresponding to the same time, multiply them by the preset weight coefficients after normalization, and sum them to obtain the comprehensive development index. Perform time series analysis based on the comprehensive development index measured at multiple time points to construct an ARIMA time series model. Get the target company's estimated entry time Based on the ARIMA time series model, the park is suitable for the expected entry time. The comprehensive development index at that time is recorded as the development correction value ; Step 3: Obtain the total number of employees expected to be recruited by the target company And the average salary of the employees to be recruited , substitute into the formula Calculate the traffic demand of the target enterprise ,in is the preset weight coefficient, e is a natural constant; Step 4: Obtain the recommended value between the target enterprise and the target park. A recommended threshold is preset. When the recommended value is greater than or equal to the recommended threshold, the target park is recorded as a suitable park. Obtain the recommended value between the target enterprise and the appropriate park, the development correction value, and the target enterprise's traffic demand, and substitute them into the formula Calculate in and get any demand adaptation value suitable for the park and the target enterprise ,in: It indicates the regional development index suitable for the current situation of the park; ； is the preset scaling factor.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the system according to any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the system according to any one of claims 1 to 8 is implemented.

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