Digitization-based park incubation management system

Abstract

The invention discloses a digitization-based park incubation management system, and relates to the technical field of park incubation management, and the system automatically processes the number of employees, department composition and equipment number information of an enterprise through an enterprise entering management module, constructs an incubation demand area index Kjzs, and achieves accurate space distribution. Evaluation of a space efficiency evaluation index Sxzs in the efficiency evaluation module can quickly identify whether the space needs to be optimized and adjusted, help a park management party to take actions in time, ensure the efficiency maximization of the space, and provide an office environment more meeting actual requirements for settled enterprises; the evaluation of the comfort matching coefficient Epms can effectively improve the comfort of the incubation space, and improve the working experience and efficiency of employees. By establishing a hatching space digital three-dimensional model, a static space visualization effect is provided, and a manager can accurately position equipment, facilities and resources in each area and perform targeted management and configuration.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of park incubation management, in particular to a park incubation management system based on digitalization. BACKGROUND

[0002] With the development of science and technology and innovation industry, more and more enterprises choose to settle in the incubation park to seek resource support, technical guidance and office space. However, the traditional park incubation management method has many limitations and is difficult to meet the increasingly complex needs of enterprises.

[0003] Firstly, the traditional incubation management system mostly relies on manual recording and artificial allocation of incubation space, which not only increases the complexity of management, but also easily leads to inaccurate or missing information processing. Especially for the processing of key information such as the number of enterprise employees, department composition, equipment quantity, etc., the traditional system is difficult to update and accurately manage in time, resulting in low efficiency of incubation space allocation and serious waste of space resources. At the same time, due to the limitations of space layout, the office needs of enterprises cannot be fully met, which affects the work efficiency of the settled enterprises.

[0004] Secondly, in the traditional management system, there is a lack of dynamic monitoring of resource utilization rate in the incubation space, which cannot track and feedback the key parameters such as equipment use, personnel flow and space occupancy rate of enterprises in real time. The existing system often relies on regular manual inspection, which is difficult to realize precise and real-time management. In addition, factors such as ventilation path, equipment maintenance channel and sight obstruction are often ignored, which leads to the fact that the comfort of the incubation space cannot be guaranteed, which has a negative impact on the daily operation of enterprises and the work experience of employees. Therefore, it is urgent to propose a park incubation management system based on digitalization. SUMMARY

[0005] In view of the deficiencies in the prior art, the present application provides a park incubation management system based on digitalization to solve the problems mentioned in the background art.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: a park incubation management system based on digitalization, comprising an enterprise settlement management module, a data monitoring module, a data processing module, an intelligent space optimization module and an efficiency evaluation module;

[0007] The enterprise settlement management module is used for receiving the settlement application of an enterprise, obtaining the relevant information of the enterprise and processing it in a classified manner, the classification including the number of employees, department composition, equipment quantity and office demand information of the enterprise, constructing an incubation demand area index Kjzs, and allocating the enterprise to the corresponding incubation space area;

[0008] The data monitoring module is used for monitoring the assigned incubation space area, collecting equipment density information, personnel flow information and space occupancy rate of the enterprise in the incubation space, generating a first data set, and monitoring ventilation path related data, maintenance channel proportion related information and shelter related information in the incubation space, generating a second data set;

[0009] The data processing module is used for cleaning, filtering and classifying the information in the first data set and the second data set, and unifying the dimension units through dimensionless processing technology, and constructing an enterprise resource database;

[0010] The intelligent space optimization module is used for extracting relevant feature information from the enterprise resource database for analysis to obtain vertical space utilization Vutil, personnel flow line crossing rate Pcross, equipment density Sbmj, ventilation path efficiency Veff, equipment maintenance channel occupancy rate Mroute and line of sight blocking rate Bblock; and by associating the vertical space utilization Vutil, the personnel flow line crossing rate Pcross and the equipment density Sbmj, a space performance evaluation index Sxzs is obtained, and the ventilation path efficiency Veff, the equipment maintenance channel occupancy rate Mroute and the line of sight blocking rate Bblock are associated to generate a comfort matching coefficient Epms;

[0011] The performance evaluation module is used for setting a predetermined space performance threshold Q1, and comparing and analyzing the space performance evaluation index Sxzs with the predetermined space performance threshold Q1 to determine whether the incubation space configuration of the current enterprise needs to be adjusted or optimized; and is used for setting a comfort performance threshold Q2, and comparing and analyzing the comfort matching coefficient Epms with the comfort performance threshold Q2 to measure the comfort degree of the incubation space.

[0012] Preferably, it further comprises a digital three-dimensional model establishing module, which comprises a digital three-dimensional model establishing unit and a site division unit;

[0013] The digital three-dimensional model establishing unit is used for collecting park CAD drawings and 3D scanning data, and using 3D modeling software SketchUp or Revit to establish an incubation space digital three-dimensional model;

[0014] The site division unit is used for dividing the incubation space digital three-dimensional model into a plurality of available areas according to the total area of the incubation center in advance, and each area is divided into a small area, a medium area and a large area according to the characteristics of the space part, and corresponding marks are made on the incubation space digital three-dimensional model;

[0015] The small area includes 100m 2 The following area site; the medium area includes 100m 2 -500m 2Regional site; large regional includes 500m 2 The above regional site.

[0016] Preferably, the enterprise management module includes an application receiving unit, a demand calculation unit and a matching site demand unit;

[0017] The application receiving unit is used to receive the application information and enterprise-related information from the enterprise, store and generate a unique application number through the digital platform;

[0018] The application information includes the enterprise name, industry category and planned time of entry;

[0019] The enterprise-related information includes the number of employees, department composition, equipment quantity and required office equipment;

[0020] The demand calculation unit is used to analyze the enterprise-related information and dynamically calculate the incubation demand area index Kjzs through the following formula:

[0021]

[0022] In the formula, Kjzs i represents the incubation demand area index of the i-th enterprise, Nrs i represents the number of employees of the i-th enterprise, and a represents the index term, which shows that the space demand will increase nonlinearly with the increase of the number of people; Shdd i represents the standard activity space area per employee, which is set to 10 square meters, Nsb i represents the total equipment quantity of the i-th enterprise, Ssb j represents the occupied area of the j-th equipment, represents the total occupied area of all equipment of the i-th enterprise, Szb i represents the aisle area demand of the i-th enterprise, Shd i represents the public activity area demand of the i-th enterprise; C1 represents the first correction constant;

[0023] The matching site demand unit is used to preliminarily allocate the regional site of the i-th enterprise according to the incubation demand area index Kjzs i of the i-th enterprise through space matching and regional combination method; the enterprise is preferentially allocated to the same regional site as its demand or several adjacent regional sites are combined to achieve the value of the incubation demand area index Kjzs i of the i-th enterprise.

[0024] Preferably, the first data set includes: the height H usable of the available region, the available ground area A usable , and the total area of the incubation space A total, ceiling and lighting facilities occupancy proportion coefficient ∈, the number of people moving simultaneously on the flow line N flow , the length of the flow line L flow , the area of the total flow line intersection region A cross , the duration of the peak period of people flow on the flow line T, the total number of devices Nsb, the average occupancy area of each device Asb, and the average distance between devices dsb

[0025] The second data set includes: the volume of the barrier V block , the distance between the barrier and the vent D block , the total volume of the ventilation path V total , the ventilation speed of the vent V, the ventilation area of the vent A vent , the maintenance frequency of the device in the channel F maint , the additional occupancy space S required for maintenance of the device in the channel maint , the length of the maintenance channel L route , the height of the barrier H bock , and the width of the barrier W bock .

[0026] Preferably, the intelligent space optimization module includes a first analysis subunit, a second analysis subunit, and a third analysis subunit;

[0027] The first analysis subunit is used to extract space occupancy related feature information in the enterprise resource database, and to analyze and calculate to obtain the vertical space utilization Vutil, which is calculated by the following formula:

[0028]

[0029] In the formula, H usable,i represents the height of the i-th available area, A usable,i represents the available ground area of the i-th area, H total represents the total vertical height of the incubation space, A total represents the total area of the incubation space, and ∈ represents the ceiling and lighting facilities occupancy proportion coefficient, which is set to between 0.05 and 0.15;

[0030] The second analysis subunit is used to extract personnel flow information related feature information in the enterprise resource database, and to analyze and calculate to obtain the people flow line crossing rate Pcross, which is calculated by the following formula:

[0031]

[0032] In the formula, N flow,i represents the number of people moving simultaneously on the i-th flow line, L flow,idenotes the length of the i-th flow line, A cross,i denotes the area of the intersection region of the i-th flow line, T i denotes the duration of the peak hour of the i-th flow line, A cross denotes the total area of the intersection region, m denotes the total number of flow lines;

[0033] The third analysis subunit is used to extract the equipment-intensive information related features in the enterprise resource database, and analyze and calculate to obtain the equipment intensity Sbmj. The equipment intensity Sbmj is calculated by the following formula:

[0034]

[0035] In the formula, Nsb represents the total number of equipment, Asb represents the average occupied area of each equipment, dsb represents the average distance between equipment, A total denotes the total area of the incubation space.

[0036] Preferably, the intelligent space optimization module further comprises a fourth analysis subunit, a fifth analysis subunit and a sixth analysis subunit;

[0037] The fourth analysis subunit is used to extract the ventilation path related data features in the enterprise resource database, and analyze and calculate to obtain the ventilation path efficiency Veff. The ventilation path efficiency Veff is calculated by the following formula:

[0038]

[0039] In the formula, θ represents the ventilation resistance coefficient, k represents the number of barriers, V block,i denotes the volume of the i-th barrier, η i denotes the air permeability coefficient of the i-th barrier, the value range is 0-1, 1 represents complete air permeability, 0 represents complete impermeability, D block,i denotes the distance between the i-th barrier and the ventilation port, V total denotes the total volume of the ventilation path;

[0040] V i denotes the ventilation speed of the i-th ventilation port, A vent,i denotes the ventilation area of the i-th ventilation port, A total denotes the total area of the incubation space, p represents the total number of ventilation ports.

[0041] Preferably, the fifth analysis subunit is used to extract the maintenance channel proportion features in the enterprise resource database, and analyze and calculate to obtain the equipment maintenance channel occupancy rate Mroute. The equipment maintenance channel occupancy rate Mroute is calculated by the following formula:

[0042]

[0043] wherein λ j represents the equipment maintenance requirement frequency adjustment coefficient of the jth aisle, F maint,j represents the maintenance frequency of the equipment in the jth aisle, S maint,j represents the additional space required for maintenance of the equipment in the jth aisle, T oper,j represents the total available time for maintenance operation of the jth aisle, L route,j represents the length of the jth maintenance aisle, W route,j represents the width of the jth maintenance aisle, A total represents the total area of the incubation space, e represents the total number of maintenance aisles;

[0044] The sixth analysis subunit is used to extract the shielding-related information features in the enterprise resource database, and analyze and calculate to obtain the line-of-sight blocking rate Bblock, which is calculated by the following formula:

[0045]

[0046] wherein H bock,k represents the height of the kth shielding object, W bock,k represents the width of the kth shielding object, L bock,k represents the length of the kth shielding object, k represents the number of shielding objects, S sun represents the area of the blocked sunlight region, The angle of sunlight irradiation and the projection of the shielding object are considered.

[0047] Preferably, the intelligent space optimization module further comprises a first correlation unit and a second correlation unit;

[0048] The first correlation unit is used to calculate the space performance evaluation index Sxzs by the following correlation formula after dimensionless processing of the vertical space utilization rate Vutil, the people flow line crossing rate Pcross and the equipment density Sbmj:

[0049]

[0050] wherein a1, a2 and a3 respectively represent the weight values of the vertical space utilization rate Vutil, the people flow line crossing rate Pcross and the equipment density Sbmj, the specific values of which are adjusted and set by the user, and 0

[0051] The second correlation unit is configured to calculate the comfort matching coefficient Epms by the following correlation formula after non-dimensional processing of the ventilation path efficiency Veff, the equipment maintenance channel occupancy rate Mroute, and the line-of-sight blocking rate Bblock:

[0052]

[0053] In the formula, a4, a5, and a6 represent weight values of the ventilation path efficiency Veff, the equipment maintenance channel occupancy rate Mroute, and the line-of-sight blocking rate Bblock, respectively, and the specific values are adjusted and set by a user, and 0 < a4 < 1, 0 < a5 < 1, 0 < a6 < 1, a4 + a5 + a6 = 1; C3 represents a third correction constant.

[0054] Preferably, the performance evaluation module comprises a first evaluation unit and a second evaluation unit.

[0055] The first evaluation unit is configured to set a predetermined space performance threshold Q1, and compare and analyze the space performance evaluation index Sxzs with the predetermined space performance threshold Q1 to determine whether the incubation space configuration of the current enterprise needs to be adjusted or optimized, including:

[0056] If the space performance evaluation index Sxzs > the space performance threshold Q1, it indicates that the incubation space configuration is unqualified, and the crowded equipment configuration leads to the risk of congestion and maintenance difficulty, and a first optimization strategy is generated: the equipment layout is re-adjusted to increase the average distance dsb between the equipment by 10%; the vertical space utilization is optimized by increasing 10% of the multi-layer shelf and the suspended equipment mode to improve the vertical space utilization rate Vutil; the people flow line is redesigned to reduce the 10%-30% intersection area of the equipment maintenance channel and the people flow route until the people flow line intersection rate Pcross is reduced to the current value of 10%;

[0057] If the space performance evaluation index Sxzs = the space performance threshold Q1, it indicates that the incubation space configuration is qualified, and monitoring is continuously performed:

[0058] If the space performance evaluation index Sxzs < the space performance threshold Q1, it indicates that the incubation space configuration is unqualified, and the over-diluted equipment layout has the risk of wasted space and uneven people flow path intersection, and a second optimization strategy is generated: according to the demand analysis of the enterprise, it is evaluated whether more equipment is introduced to increase the number of equipment by 10% to 20%, the equipment layout is re-planned to reduce the distance between the equipment, and the average distance dsb between the equipment is reduced to 90% of the original; the number of people N flow moving on the current 10% flow line is increased to optimize the flow line efficiency.

[0059] Preferably, the second evaluation unit is used to set a comfort performance threshold Q2, and the comfort matching coefficient Epms is compared with the predetermined comfort performance threshold Q2 to measure the comfort level of the incubation space, including:

[0060] If the comfort matching coefficient Epms is greater than or equal to the comfort performance threshold Q2, it indicates that the current incubation space is qualified in terms of comfort, with good ventilation, smooth personnel flow and less visual obstruction, and the existing configuration is maintained for continuous periodic monitoring.

[0061] If the comfort matching coefficient Epms is less than the comfort performance threshold Q2, it indicates that the current incubation space is unqualified in terms of comfort, and a third optimization strategy is generated, including: adding 1-2 high-efficiency ventilation equipment, increasing the number or width of the passage by 20%-30% to improve air circulation capacity; reducing the occupied area of the maintenance passage by 10%-20% to reduce the maintenance passage occupancy rate Mroute; moving or adjusting the position of furniture and equipment to reduce the height or number of visual obstructions by 20%-30%; and selecting transparent materials for partitioning to reduce the impact of visual obstruction.

[0062] The present application provides a digital-based park incubation management system, which has the following advantages:

[0063] (1) The digital park incubation management system can update and automatically allocate incubation space in real time, which can improve the space utilization rate Vutil by 10%-20%. The system can quickly adjust and optimize space configuration according to dynamic factors such as the number of employees, department composition and equipment quantity, avoiding delays and errors caused by manual allocation.

[0064] (2) The system integrates real-time monitoring of key parameters such as equipment usage, personnel flow and space occupancy, and can improve the tracking accuracy of resource utilization to more than 90%. Through dynamic analysis of data, managers can timely discover and solve resource waste problems, thereby realizing more accurate space management.

[0065] (3) In the system design, factors such as ventilation path, equipment maintenance passage and visual obstruction are fully considered, which is expected to improve the ventilation efficiency Veff of the incubation space by 15%-25%. Through optimization of space layout and ventilation equipment, the working experience and comfort of employees are significantly improved, further improving work efficiency and satisfaction. The system can real-time feedback the equipment usage state and space occupancy of the enterprise, and the response speed is expected to be 2-3 times faster than manual inspection. This fast feedback mechanism enables managers to timely adjust the equipment layout and personnel flow line, avoiding space resource waste caused by information lag, thereby better supporting the daily operation and development needs of the enterprise.

[0066] (4) The digital-based park incubation management system can effectively improve the configuration efficiency and comfort of the incubation space through the evaluation of the first and second evaluation units and the corresponding optimization strategies. The implementation of the digital-based park incubation management system can significantly improve the space allocation efficiency, dynamically monitor the resource utilization rate, optimize the ventilation and comfort, and improve the management response speed, thereby achieving more efficient management and better work experience. BRIEF DESCRIPTION OF DRAWINGS

[0067] Figure 1 The figure is a flowchart of the digital-based park incubation management system of the present application. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0069] Embodiment 1

[0070] Please refer to Figure 1 The present application provides a digital-based park incubation management system, which includes an enterprise entry management module, a data monitoring module, a data processing module, an intelligent space optimization module, and an efficiency evaluation module.

[0071] The enterprise entry management module is used to receive the entry application of an enterprise, obtain the relevant information of the enterprise and process it in categories, including the number of employees, department composition, equipment quantity, and office demand information, construct an incubation demand area index Kjzs, and allocate the enterprise to the corresponding incubation space area.

[0072] The data monitoring module is used to monitor the allocated incubation space area, collect the equipment density information, personnel flow information, and space occupancy rate of the enterprise in the incubation space, generate a first data set, and monitor the ventilation path related data, maintenance channel proportion related information, and shielding related information in the incubation space, generating a second data set. Compared with the traditional periodic manual inspection method, the system realizes real-time tracking of resource utilization through automatic monitoring, ensures the real-time and accuracy of information, and reduces the time and cost of manual intervention.

[0073] The data processing module is used to clean, filter, and classify the information in the first and second data sets, and unify the units of measurement through dimensionless processing technology, and construct an enterprise resource database.

[0074] The intelligent space optimization module is used to extract relevant feature information analysis from the enterprise resource database to obtain vertical space utilization Vutil, people flow line crossing rate Pcross, equipment density Sbmj, ventilation path efficiency Veff, equipment maintenance channel occupancy rate Mroute and line of sight blocking rate Bblock; and by associating the vertical space utilization Vutil, the people flow line crossing rate Pcross and the equipment density Sbmj, a space performance evaluation index Sxzs is obtained, and the ventilation path efficiency Veff, the equipment maintenance channel occupancy rate Mroute and the line of sight blocking rate Bblock are associated to generate a comfort matching coefficient Epms;

[0075] The performance evaluation module is used to set a predetermined space performance threshold Q1, and compare and analyze the space performance evaluation index Sxzs with the predetermined space performance threshold Q1 to determine whether the current incubation space configuration of the enterprise needs to be adjusted or optimized; and is used to set a comfort performance threshold Q2, and compare and analyze the comfort matching coefficient Epms with the comfort performance threshold Q2 to measure the comfort degree of the incubation space.

[0076] In this embodiment, the enterprise employee number, department composition, equipment quantity and other information of the enterprise are automatically processed by the enterprise entry management module to construct an incubation demand area index Kjzs, so that accurate space allocation is realized. Information omission or processing errors in the traditional manual allocation method are avoided, the allocation efficiency is improved, resource waste is reduced, and the rational use of incubation space is ensured.

[0077] The evaluation of the space performance evaluation index Sxzs in the performance evaluation module can quickly identify whether the space needs to be optimized and adjusted, help the park management party to take action in time, ensure the maximum performance of the space, and provide the entering enterprise with a more actual demand office environment; the evaluation of the comfort matching coefficient Epms can effectively improve the comfort of the incubation space and improve the work experience and efficiency of the employees.

[0078] Embodiment 2

[0079] This embodiment is an explanation and description in embodiment 1. Please refer to Figure 1 , specifically, further comprising a digital three-dimensional model establishing module, the digital three-dimensional model establishing module comprising a digital three-dimensional model establishing unit and a site division unit;

[0080] The digital three-dimensional model establishing unit is used to collect park CAD drawings and 3D scanning data, and use 3D modeling software SketchUp or Revit to establish a digital three-dimensional model of the incubation space;

[0081] The field division unit is used to divide the incubation space digital three-dimensional model into several available areas according to the total area of the incubation center in advance, and each area is divided into small, medium and large areas according to the characteristics of the space part, and corresponding marks are made on the incubation space digital three-dimensional model.

[0082] The small area includes 100m 2 The following area field; the medium area includes 100m 2 -500m 2 The area field; the large area includes 500m 2 The above area field.

[0083] In this embodiment, the digital three-dimensional model establishment unit uses the CAD drawings and 3D scanning data of the park to establish the digital three-dimensional model of the incubation space by using 3D modeling software such as SketchUp or Revit, which can accurately present the overall layout and details of the park. Compared with traditional two-dimensional plan, three-dimensional model can more intuitively and comprehensively show the height, width, depth and various structural details of the space, helping managers better understand and plan the incubation space, and avoiding the deviation between design and actual use. The field division unit divides the incubation space digital three-dimensional model into small areas (100m 2 below), medium areas (100m 2 to 500m 2 ) and large areas (500m 2multiple available areas. This pre-division method can allocate appropriate areas according to the size and needs of different enterprises, improving the rationality of space allocation. At the same time, the visualized marking of area division can help managers more intuitively perform space scheduling and adjustment in actual operation. The three-dimensional model combined with space performance evaluation data (such as vertical space utilization rate, equipment density, and human flow line crossing rate) provides more accurate input data for the intelligent space optimization module. Through the three-dimensional model, the effects of different space layout schemes can be simulated and evaluated in real time, helping managers make better space layout decisions and maximize the utilization rate of incubation space. The digital three-dimensional model not only provides static space visualization effects, but also can dynamically update and simulate future usage scenarios. For example, managers can predict the future space expansion needs of different enterprises through the three-dimensional model and make advance planning and reservation of areas accordingly, reducing the operational disturbance caused by frequent space adjustments. This function can also help monitor the dynamic use of incubation space in real time, providing data support for subsequent space adjustment and enterprise upgrading. Enterprises can "visit" the incubation space in advance through the three-dimensional model and understand the possible office environment and layout. Through this virtual visit, enterprises can better understand the characteristics of different areas and help them choose the appropriate space according to their own needs, improving the decision-making efficiency and satisfaction of enterprises before entering. At the same time, the three-dimensional model can dynamically adjust the space according to the expansion needs of enterprises after they enter, improving the flexibility of the park and the experience of enterprises entering. With the detailed space information of the three-dimensional model, the management side can accurately locate the equipment, facilities and resources in each area and carry out targeted management and configuration. For example, based on the vertical utilization rate or equipment density of the space, managers can better allocate the office equipment or expansion space needs of enterprises, avoid resource waste, and improve the overall utilization rate of the incubation space.

[0084] Embodiment 3

[0085] This embodiment is an explanation and description in Embodiment 1, please refer to Figure 1 , specifically, the enterprise entry management module includes an entry application receiving unit, a demand calculation unit, and a matching site demand unit;

[0086] The entry application receiving unit is used to receive the entry application information and enterprise related information from the enterprise, store and generate a unique application number through the digital platform; ensure that the application information of each enterprise is processed quickly and accurately. Compared with the traditional manual application process, the digital system significantly improves the processing speed of the application, reduces the error risk caused by manual operation, and at the same time, enterprises can track the application status in real time, improving the user experience.

[0087] The entry application information includes the enterprise name, industry category and planned entry time;

[0088] Enterprise-related information includes the number of employees, department composition, equipment quantity, and required office equipment;

[0089] The demand calculation unit is used to analyze enterprise-related information and dynamically calculate the incubation demand area index Kjzs through the following formula:

[0090]

[0091] In the formula, Kjzs i represents the incubation demand area index of the i-th enterprise, Nrs i represents the number of employees of the i-th enterprise, a represents the index term, and the space demand will show a nonlinear growth with the increase of the number of people; Shdd i represents the standard activity space area per employee, which is set to 10 square meters, Nsb i represents the total equipment quantity of the i-th enterprise, Ssb j represents the occupied area of the j-th equipment, represents the total occupied area of all equipment of the i-th enterprise, Szb i represents the aisle area demand of the i-th enterprise, Shd i represents the public activity area demand of the i-th enterprise; C1 represents the first correction constant;

[0092] The matching site demand unit is used to preliminarily allocate the regional site of the i-th enterprise according to the incubation demand area index Kjzsi of the i-th enterprise through space matching and regional combination methods; the enterprise is preferentially allocated to the same regional site as its demand or several adjacent regional sites are combined to achieve the value of the incubation demand area index Kjzsi of the i-th enterprise.

[0093] Space matching: the enterprise is preferentially allocated to the nearest region as its demand to avoid excessive allocation of too large or too small space. For example, enterprise A needs 350㎡, and the site with an area of 300-400㎡ should be preferentially selected.

[0094] When the enterprise has more equipment, the site where the equipment can be smoothly placed and has enough aisle is preferentially selected. For example, an enterprise with more equipment may need more spacious roads and equipment areas, and the layout of the incubation space needs to take this into consideration.

[0095] If there are multiple adjacent small regions in the site, they can be combined into a larger site to meet the demand of the enterprise. For example, the demand of enterprise A is 350㎡, but there are currently only two adjacent 180㎡ and 170㎡ sites, so the two sites can be combined to meet its demand.

[0096] In this embodiment, the demand calculation unit dynamically calculates the incubation demand area index Kjzs by analyzing the number of employees, the number of equipment and the required office equipment information of the enterprise. The calculation formula of the incubation demand area index introduces an exponential term to reflect the nonlinear growth of space demand with the increase of the number of employees, which is closer to the actual office demand. In addition, the equipment occupied area, the aisle area demand and the public activity area demand are also taken into account to ensure the comprehensiveness and accuracy of the calculation results. Through the enterprise information management based on the digital platform and the dynamic allocation of incubation space, the park management personnel can master the demand of each enterprise in real time and adjust according to the actual situation, reducing the cumbersome steps of manual intervention. At the same time, the intelligent matching system ensures the efficient use of park space resources, avoids unreasonable allocation of incubation space or waste of resources, and improves the overall management efficiency of the park. From the submission of the application by the enterprise to the calculation of the demand area and the allocation of space, the whole process is realized on the digital platform, which not only improves the work efficiency of the management side, but also enables the enterprise to obtain the matching space of its incubation demand more clearly and quickly. The enterprise can adjust its demand or expectation in time according to the system feedback, effectively improving the communication efficiency between park management and enterprises, and making the experience of entering the park more smooth.

[0097] The matching space demand unit intelligently allocates appropriate incubation space for each enterprise according to the incubation demand area index Kjzs of each enterprise through space matching and regional combination method. The system gives priority to the regional space that meets the demand of the enterprise, and if a single region is not enough to meet the demand, adjacent regions can be combined to achieve the required incubation space area. This flexible space allocation method not only effectively improves the space utilization rate of the park, but also maximizes the space demand of the enterprise, avoiding resource waste.

[0098] Embodiment 4

[0099] This embodiment is an explanation and description in embodiment 1, please refer to Figure 1 , specifically, the first data set includes: the height H usable of the available area, the available ground area A usable , the total area A total of the incubation space, the ceiling and lighting equipment facility occupation proportion coefficient ∈, the number of people moving on the flow line N flow , the length of the flow line L flow , the total flow line intersection area A cross , the peak time duration T of the flow line, the total number of equipment Nsb, the average occupied area of each equipment Asb and the average distance between equipment dsb.

[0100] the height H usable of the available area, the available ground area A usableTotal area of the hatchery space A total Calculated by laser range finder or 3D scanner, combined with image processing algorithms or 3D modeling tools.

[0101] Ceiling and lighting fixture occupancy ratio factor is evaluated by camera or light sensor, combined with image analysis software, to assess the distribution and occupancy area of lighting fixtures on the ceiling.

[0102] Number of people moving simultaneously on the flow line N flow Real-time monitoring of the number of people on a specific flow line in the hatchery space by using infrared sensors or video surveillance cameras combined with people flow detection algorithms.

[0103] Length of the flow line L flow Automatically measure the length of each flow line by laser range finder or combined with 3D modeling tools.

[0104] Total area of flow line intersection regions A cross Automatically identify the intersection regions of flow lines and calculate their area by combining 3D scanning data with camera monitoring systems.

[0105] Peak time duration of people flow on the flow line T

[0106] Total number of devices Nsb Record all devices using RFID tags or barcode scanners and count them according to the site layout. Measure the volume and floor area of the devices by 3D scanner, or query from RFID or device size database; Average occupancy area of each device Asb and average distance between devices dsb Automatically measure the distance between devices using laser range finder or camera combined with 3D scanning technology, and calculate the average value.

[0107] The second data set includes: Volume of the obstruction V block Distance between the obstruction and the vent D block Total volume of the ventilation path V total Ventilation speed of the vent V, Ventilation area of the vent A vent Maintenance frequency of the equipment in the passage F maint Additional occupied space required for equipment maintenance in the passage S maint Length of the maintenance passage L route Height of the obstruction H bock Width of the obstruction W bock .

[0108] Volume of the obstruction V blockThe volume data of the blocking object is obtained by scanning it with a 3D laser scanner or a structured light sensor.

[0109] The distance D between the blocking object and the vent block The distance between the blocking object and the vent is measured in real time by a laser rangefinder or an ultrasonic rangefinder.

[0110] The total volume V of the ventilation path total The volume data of the ventilation path is obtained by using a 3D modeling tool combined with a laser scanner, and is calculated based on a physical model.

[0111] The ventilation speed V of the vent is measured by a wind speed sensor (such as a propeller anemometer or an ultrasonic anemometer) installed in the vent.

[0112] The ventilation area A of the vent vent The area of the vent is accurately measured using a laser rangefinder or an infrared scanner.

[0113] The maintenance frequency F of the equipment in the channel maint The maintenance time and frequency of each piece of equipment are recorded by an RFID sensor or an equipment monitoring system.

[0114] The additional space S required for maintenance of the equipment in the channel maint The actual operating space requirement of the equipment is used to dynamically simulate and calculate the additional space required for maintenance using 3D modeling software or site planning software.

[0115] The length L of the maintenance channel route The length of the maintenance channel is measured by a laser rangefinder or 3D scanning technology. bock The height H of the blocking object bock The height and width of the blocking object are automatically measured by combining a laser rangefinder or a 3D scanner to obtain accurate data.

[0116] Through the integration of multiple sensors, the system can realize real-time monitoring and dynamic data collection of the environment and equipment. All sensor collected data is processed, stored and analyzed through the Internet of Things (IoT) platform, realizing intelligent space optimization and dynamic adjustment.

[0117] Embodiment 5

[0118] This embodiment is an explanation and description in Embodiment 1, please refer to Figure 1 , Specifically, the intelligent space optimization module includes a first analysis subunit, a second analysis subunit and a third analysis subunit;

[0119] The first analysis subunit is used to extract the space occupation related characteristic information in the enterprise resource database, and analyze and calculate to obtain the vertical space utilization Vutil. The vertical space utilization Vutil is calculated by the following formula:

[0120]

[0121] In the formula, H usable,i represents the height of the i th available area, A usable,i represents the available ground area of the i th area, H total represents the total vertical height of the incubation space, A total represents the total area of the incubation space, and ∈ represents the occupancy proportion coefficient of the ceiling and lighting equipment facilities, which is set to be between 0.05-0.15;

[0122] The second analysis subunit is used to extract the personnel flow information related characteristic information in the enterprise resource database, and analyze and calculate to obtain the person flow line crossing rate Pcross. The person flow line crossing rate Pcross is calculated by the following formula:

[0123]

[0124] In the formula, N flow,i represents the number of people moving on the i th flow line at the same time, L flow,i represents the length of the i th flow line, A cross,i represents the area of the i th flow line crossing area, T i represents the duration of the peak period of the i th flow line, A cross represents the total flow line crossing area, and m represents the total number of flow lines;

[0125] The third analysis subunit is used to extract the equipment intensive information related characteristics in the enterprise resource database, and analyze and calculate to obtain the equipment density Sbmj. The equipment density Sbmj is calculated by the following formula:

[0126]

[0127] In the formula, Nsb represents the total number of equipment, Asb represents the average occupied area of each equipment, and dsb represents the average distance between equipment, A total represents the total area of the incubation space.

[0128] In this embodiment, by calculating the vertical space utilization Vutil, the area with insufficient space utilization can be identified, and the layout can be optimized to achieve more efficient space utilization. The calculation and analysis of the flow line crossing rate Pcross can identify high-crossing areas, and the flow line design can be optimized to reduce congestion and improve traffic efficiency. The calculation of the equipment density Sbmj can identify the rationality of equipment layout, optimize configuration, and improve space utilization efficiency. Reasonable equipment layout can reduce the movement time of employees between equipment, improve work efficiency, and reduce operating costs. Optimizing equipment density helps to develop reasonable equipment maintenance strategies to ensure equipment safety and normal operation and reduce failure rate.

[0129] Embodiment 6

[0130] This embodiment is an explanation and description in embodiment 1, please refer to Figure 1 , specifically, the intelligent space optimization module further comprises a fourth analysis subunit, a fifth analysis subunit and a sixth analysis subunit;

[0131] The fourth analysis subunit is used to extract the ventilation path related data features in the enterprise resource database, analyze and calculate to obtain the ventilation path efficiency Veff, and the ventilation path efficiency Veff is calculated by the following formula:

[0132]

[0133] In the formula, θ represents the ventilation blocking coefficient, k represents the number of obstacles, V block,i represents the volume of the ith obstacle, η i represents the air permeability coefficient of the ith obstacle, the value range is 0-1, 1 represents complete air permeability, 0 represents complete impermeability, D block,i represents the distance between the ith obstacle and the ventilation port, V total represents the total volume of the ventilation path;

[0134] V i represents the ventilation speed of the ith ventilation port, A vent,i represents the ventilation area of the ith ventilation port, A total represents the total area of the incubation space, and p represents the total number of ventilation ports.

[0135] The fifth analysis subunit is used to extract the maintenance channel proportion feature in the enterprise resource database, analyze and calculate to obtain the equipment maintenance channel occupancy rate Mroute, and the equipment maintenance channel occupancy rate Mroute is calculated by the following formula:

[0136]

[0137] In the formula, λ jF represents the frequency adjustment coefficient of the equipment maintenance requirement of the jth passage maint,j S represents the maintenance frequency of the equipment in the jth passage maint,j T represents the additional space required for equipment maintenance in the jth passage oper,j L represents the total available time for maintenance operation of the jth passage route,j W represents the length of the jth maintenance passage route,j A represents the width of the jth maintenance passage total e represents the total area of the incubation space, and the total number of maintenance passages is represented by e;

[0138] The sixth analysis subunit is used to extract the shielding-related information features in the enterprise resource database, analyze and calculate the line-of-sight blocking rate Bblock, which is calculated by the following formula:

[0139]

[0140] In the formula, H bock,k W represents the height of the kth blocker bock,k W represents the width of the kth blocker bock,k L represents the length of the kth blocker, and k represents the number of blockers sun S represents the area of the blocked sunlight region The angle of sunlight and the projection of the blocked object are considered.

[0141] In this embodiment, the calculation of the ventilation path efficiency Veff can find the factors that affect ventilation, and then optimize the ventilation design and improve air quality. An effective ventilation system can reduce the concentration of harmful substances in the air, provide a more comfortable working environment, and improve employee productivity. By improving ventilation efficiency, reducing dependence on air conditioning and other equipment, and reducing energy consumption, the energy-saving goal is achieved. The calculation of the equipment maintenance passage occupancy rate Mroute can reasonably allocate maintenance space, reduce interference during maintenance, and improve maintenance efficiency. Optimizing the layout of the maintenance passage ensures the timeliness of equipment maintenance, reduces equipment downtime, and improves production efficiency. Reasonably planning the maintenance passage can avoid safety hazards caused by narrow passages or improper layout, ensuring the safety of workers. The calculation of the line-of-sight blocking rate Bblock can determine the obstacles affecting natural lighting, thereby optimizing the space layout and improving the natural lighting effect. Reducing visual obstacles, improving the openness and comfort of the space, and enhancing employee work experience and creativity can improve natural lighting conditions, reduce dependence on artificial lighting, reduce energy consumption, and promote green building design.

[0142] Example 7

[0143] This embodiment is an explanation and description in Example 6, please refer toFigure 1 Specifically, the intelligent space optimization module further comprises a first correlation unit and a second correlation unit.

[0144] The first correlation unit is configured to calculate the space performance evaluation index Sxzs by dimensionless processing of the vertical space utilization Vutil, the people flow line crossing rate Pcross, and the equipment density Sbmj, and by using the following correlation formula:

[0145]

[0146] In the formula, a1, a2, and a3 represent the weight values of the vertical space utilization Vutil, the people flow line crossing rate Pcross, and the equipment density Sbmj, respectively, and the specific values are adjusted and set by a user, and 0 < a1 < 1, 0 < a2 < 1, 0 < a3 < 1, a1 + a2 + a3 = 1; C2 represents a second correction constant; in the calculation process of the space performance evaluation index Sxzs, the vertical space utilization Vutil reflects the vertical utilization degree of the available space. Generally, the greater the value is, the more sufficient the space utilization is. High vertical space utilization means that more space can be effectively used in the same floor area, thereby improving the overall utilization of the space.

[0147] The people flow line crossing rate Pcross indicates the number of people moving on a specific flow line and the situation of flow line crossing area at the same time. High crossing rate can mean the complexity and congestion of the flow line. Low crossing rate indicates smoother personnel flow, reduces congestion and potential safety hazards, and optimizes the use of space.

[0148] Excessive equipment density Sbmj can cause mutual interference and safety hazards between equipment, and affect operation efficiency. Therefore, moderate equipment density is more ideal, rather than simply the larger the better.

[0149] The second correlation unit is configured to calculate the comfort matching coefficient Epms by dimensionless processing of the ventilation path efficiency Veff, the equipment maintenance channel occupancy rate Mroute, and the line-of-sight blocking rate Bblock, and by using the following correlation formula:

[0150]

[0151] In the formula, a4, a5 and a6 represent the weight values of the ventilation path efficiency Veff, the equipment maintenance channel occupancy rate Mroute and the line-of-sight blocking rate Bblock, respectively, the specific values of which are adjusted and set by the user, and 0 < a4 < 1, 0 < a5 < 1, 0 < a6 < 1, a4 + a5 + a6 = 1; C3 represents a second correction constant. A high ventilation path efficiency means smooth air flow, improving environmental comfort and safety. An excessively high equipment maintenance channel occupancy rate Mroute may occupy too much space, limiting the layout of other functional areas, while too low may lead to inconvenience in maintenance. Therefore, maintaining a reasonable occupancy rate is crucial. A low line-of-sight blocking rate means a more open line of sight, improving the openness of the space and communication efficiency, and reducing potential safety risks.

[0152] In this embodiment, by comprehensively considering various space usage factors, the space efficiency evaluation index Sxzs provides a quantitative indicator to help managers understand the actual utilization of the space. The results of the evaluation index can provide decision-making basis for space layout and resource allocation, promoting more efficient space utilization. By quantifying the comfort matching coefficient Epms, managers can more clearly understand the impact of the space environment on user comfort, and make corresponding improvements.

[0153] Embodiment 8

[0154] This embodiment is an explanation and description in Embodiment 1, please refer to Figure 1 , Specifically, the efficiency evaluation module includes a first evaluation unit and a second evaluation unit;

[0155] The first evaluation unit is used to set a predetermined space efficiency threshold Q1, and compare and analyze the space efficiency evaluation index Sxzs with the predetermined space efficiency threshold Q1 to determine whether the current enterprise incubation space configuration needs to be adjusted or optimized, including:

[0156] If the space efficiency evaluation index Sxzs > the space efficiency threshold Q1, it indicates that the incubation space configuration is unqualified, and the crowded equipment configuration leads to the risk of congestion and maintenance difficulty. The first optimization strategy is generated: re-adjust the equipment layout to increase the average distance dsb between equipment by 10%; optimize the vertical space utilization by increasing 10% of the multi-layer shelf and suspension equipment mode to improve the vertical space utilization rate Vutil; redesign the people flow line to reduce the 10%-30% intersection area of the equipment maintenance channel and the people flow line until the people flow line intersection rate Pcross is reduced to the current value of 10%;

[0157] If the space efficiency evaluation index Sxzs = the space efficiency threshold Q1, it indicates that the incubation space configuration is qualified, and continuous monitoring is carried out:

[0158] If the space performance evaluation index Sxzs is less than the space performance threshold Q1, it indicates that the incubation space configuration is unqualified, and there is a risk of wasted space and uneven crossing of people flow paths in the sparse device layout. A second optimization strategy is generated: based on the demand analysis of the enterprise, it is evaluated whether to introduce more devices, increase the number of devices by 10% to 20%, and re-plan the device layout to reduce the distance between devices and reduce the average distance dsb between devices to 90% of the original; increase the number of people moving on the current 10% flow line N flow , optimize the efficiency of the flow line.

[0159] The second evaluation unit is used to set a comfort performance threshold Q2, and the comfort matching coefficient Epms is compared with the predetermined comfort performance threshold Q2 to measure the comfort level of the incubation space, including:

[0160] If the comfort matching coefficient Epms is greater than or equal to the comfort performance threshold Q2, it indicates that the comfort level of the current incubation space is qualified, with good ventilation, smooth personnel flow, and less visual obstruction. Maintain the existing configuration and continue to monitor regularly.

[0161] If the comfort matching coefficient Epms is less than the comfort performance threshold Q2, it indicates that the comfort level of the current incubation space is unqualified, and a third optimization strategy is generated, including: increasing 1-2 high-efficiency ventilation devices, increasing the number or width of the passage by 20%-30% to improve air flow capacity; reduce the occupied area of the maintenance passage by 10%-20% to reduce the maintenance passage occupancy rate Mroute; move or adjust the position of furniture and equipment to reduce the height or number of visual obstructions by 20%-30%; choose transparent materials for partition to reduce the impact of visual obstruction.

[0162] In this embodiment, the first and second optimization strategies can effectively utilize space by adjusting device layout and optimizing people flow lines, reducing the risk of congestion and maintenance difficulties. The optimized layout will reduce the crossing of people flow lines, improve the efficiency and safety of personnel flow.

[0163] The third optimization strategy can significantly improve the air flow capacity of the space by increasing ventilation equipment and optimizing passage design, improving the comfort of users. Reducing visual obstructions will enhance the openness of the space, promote personnel communication and cooperation. Through the evaluation of the first and second evaluation units and their corresponding optimization strategies, the configuration performance and comfort of the incubation space can be effectively improved. These optimizations not only improve the utilization efficiency of the space, but also provide better working and communication environment for users.

[0164] The size of the threshold is set for ease of comparison. The size of the threshold depends on the amount of sample data and the base number set by the person skilled in the art for each set of sample data; as long as it does not affect the proportional relationship between the parameters and the quantized values.

[0165] The above formulas are obtained by collecting a large amount of data for software simulation and selecting one formula close to the true value. The coefficients in the formula are set by the person skilled in the art according to the actual situation. The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical range disclosed by the present application, according to the technical solution and the inventive concept of the present application, should be covered within the protection scope of the present application.

Claims

1. A digital-based park incubation management system, characterized in that: It includes modules for enterprise onboarding management, data monitoring, data processing, intelligent space optimization, and performance evaluation. The enterprise entry management module is used to receive enterprise entry applications, obtain relevant enterprise information and classify it. The classification includes the number of enterprise employees, department composition, number of equipment and office needs information, construct the incubation demand area index Kjzs, and allocate the enterprise to the corresponding incubation space area. The data monitoring module is used to monitor the allocated incubation space area, collect information on the density of equipment, personnel flow and space occupancy rate of enterprises in the incubation space, and generate the first dataset. At the same time, it monitors the ventilation path related data, maintenance passage ratio related data and obstruction related data in the incubation space, and generates the second dataset. The data processing module is used to clean, filter and classify the information in the first dataset and the second dataset, and to unify the units of measurement through dimensionless processing technology to build an enterprise resource database. The intelligent space optimization module is used to extract relevant feature information from the enterprise resource database for analysis, in order to obtain the vertical space utilization rate Vutil, pedestrian flow intersection rate Pcross, equipment density Sbmj, ventilation path efficiency Veff, equipment maintenance passage occupancy rate Mroute, and visual obstruction rate Bblock; and by correlating the vertical space utilization rate Vutil, pedestrian flow intersection rate Pcross, and equipment density Sbmj, the space efficiency evaluation index Sxzs is obtained, and by correlating the ventilation path efficiency Veff, equipment maintenance passage occupancy rate Mroute, and visual obstruction rate Bblock, the comfort matching coefficient Epms is generated. The performance evaluation module is used to set a predetermined space performance threshold Q1, and compare the space performance evaluation index Sxzs with the space performance threshold Q1 to determine whether the current incubation space configuration of the enterprise needs to be adjusted or optimized; and is used to set a comfort performance threshold Q2, and compare the comfort matching coefficient Epms with the comfort performance threshold Q2 to measure the comfort level of the incubation space.

2. The digital-based park incubation management system according to claim 1, characterized in that, It also includes a digital 3D model building module, which includes a digital 3D model building unit and a site division unit; The digital 3D model building unit is used to collect CAD drawings and 3D scanning data of the park, and to build a digital 3D model of the incubation space using 3D modeling software SketchUp or Revit. The site division unit is used to divide the total area of ​​the incubation center into several usable areas based on the digital three-dimensional model of the incubation space. The size of each area is divided into small, medium and large areas according to the characteristics of the space, and corresponding markings are made on the digital three-dimensional model of the incubation space. Small areas include 100m 2 The following areas are available; medium-sized areas include 100m. 2 -500m 2 Area site; large area including 500m 2 The above areas are designated as venues.

3. The digital-based park incubation management system according to claim 1, characterized in that, The enterprise entry management module includes an entry application receiving unit, a demand calculation unit, and a site demand matching unit. The application receiving unit is used to receive application information and related information from enterprises, store them through a digital platform and generate a unique application number. Application information includes company name, industry category, and planned move-in date; Company-related information includes the number of employees, departmental structure, quantity of equipment, and required office equipment; The demand calculation unit is used to analyze relevant enterprise information and dynamically calculate the incubation demand area index Kjzs using the following formula: In the formula, Kjzs i Nrs represents the incubation area demand index for the i-th enterprise. i Let represent the number of employees in the i-th company, and α represent the exponential term. As the number of employees increases, the space requirement grows non-linearly. i This represents the standard activity space area for each employee, set at 10 square meters, Nsb i Ssb represents the total number of devices in the i-th enterprise. j This represents the area occupied by the j-th device. Szb represents the total area occupied by all equipment in the i-th enterprise. i Shd represents the aisle area requirement of the i-th enterprise. i C1 represents the required area of ​​the public activity area of ​​the i-th enterprise; C1 represents the first correction constant. The matching site requirement unit is used to match the incubation requirement area index Kjzs of the i-th enterprise. i The area space is initially allocated to the i-th enterprise through spatial matching and region combination methods; Prioritize allocating enterprises to areas with similar needs or combining several adjacent areas to achieve the incubation area index Kjzs for the i-th enterprise. i The value of .

4. The digital-based park incubation management system according to claim 1, characterized in that, The first dataset includes: the height H of the available area. usable Available ground area A usable Total area A of the incubation space total The proportion of ceiling and lighting equipment occupied, and the number of people moving simultaneously on the circulation path, N. flow Length L of the flow line flow Area A of the intersection region of the total flow lines cross The peak period duration of pedestrian flow on the flow line is T, the total number of devices is Nsb, the average area occupied by each device is Asb, and the average distance between devices is dsb; The second dataset includes: the volume V of the obstruction. block The distance D between the obstruction and the ventilation opening block Total volume V of ventilation path total Ventilation velocity V of the vent, ventilation area A of the vent vent Maintenance frequency F of equipment within the channel maint Additional space S required for equipment maintenance within the passageway maint Maintenance channel length L route The height H of the obstruction bock and the width W of the obstruction bock .

5. The digital-based park incubation management system according to claim 1, characterized in that, The intelligent space optimization module includes a first analysis subunit, a second analysis subunit, and a third analysis subunit; The first analysis subunit is used to extract space occupancy-related feature information from the enterprise resource database, and analyze and calculate the vertical space utilization rate Vutil. The vertical space utilization rate Vutil is calculated using the following formula: In the formula, H usable,i A represents the height of the i-th available area. usable,i H represents the available ground area of ​​the i-th region. total A represents the total vertical height of the incubation space. total The total area of ​​the incubation space is represented by ∈, which represents the proportion of ceiling and lighting equipment facilities occupied, set between 0.05 and 0.

15. The second analysis subunit is used to extract relevant feature information of personnel flow information from the enterprise resource database, and analyze and calculate the personnel flow line intersection rate Pcross. The personnel flow line intersection rate Pcross is calculated using the following formula: In the formula, N flow,i L represents the number of people moving simultaneously on the i-th flow line. flow,i Let A represent the length of the i-th flow line. cross,i T represents the area of ​​the intersection region of the i-th flow line. i A represents the duration of the peak passenger flow period for the i-th flow line. cross The area represents the total area of ​​the intersection of the movement lines, and m represents the total number of movement lines. The third analysis subunit is used to extract relevant features of equipment density information from the enterprise resource database, and analyze and calculate the equipment density Sbmj. The equipment density Sbmj is calculated using the following formula: In the formula, Nsb represents the total number of devices, Asb represents the average area occupied by each device, dsb represents the average distance between devices, and A total This indicates the total area of ​​the incubation space.

6. The digital-based park incubation management system according to claim 1, characterized in that, The intelligent space optimization module also includes a fourth analysis subunit, a fifth analysis subunit, and a sixth analysis subunit; The fourth analysis subunit is used to extract ventilation path-related data features from the enterprise resource database, and analyze and calculate the ventilation path efficiency Veff. The ventilation path efficiency Veff is calculated using the following formula: In the formula, θ represents the ventilation barrier coefficient, k represents the number of obstructions, and V block,i Let η represent the volume of the i-th obstruction. i D represents the air permeability coefficient of the i-th barrier, with a value ranging from 0 to 1, where 1 represents complete air permeability and 0 represents complete air impermeability. block,i V represents the distance between the i-th obstruction and the vent. total Indicates the total volume of the ventilation path; V i Let A represent the ventilation velocity of the i-th vent. vent,i Let A represent the ventilation area of ​​the i-th vent. total represents the total area of ​​the incubation space, and p represents the total number of vents.

7. The digital-based park incubation management system according to claim 6, characterized in that, The fifth analysis subunit is used to extract the maintenance channel proportion characteristics from the enterprise resource database, and analyze and calculate the equipment maintenance channel occupancy rate Mroute. The equipment maintenance channel occupancy rate Mroute is calculated using the following formula: In the formula, λ j F represents the frequency adjustment factor for equipment maintenance requirements of the j-th channel. maint,j S represents the maintenance frequency of the equipment in the j-th channel. maint,j T represents the additional space required for equipment maintenance in the j-th channel. oper,j L represents the total available time for maintenance operations on the j-th channel. route,j W represents the length of the j-th maintenance channel. route,j A represents the width of the j-th maintenance channel. total represents the total area of ​​the incubation space, and e represents the total number of maintenance channels; The sixth analysis subunit is used to extract obstruction-related information features from the enterprise resource database, analyze and calculate the line-of-sight obstruction rate Bblock, which is calculated using the following formula: In the formula, H bock,k W represents the height of the k-th obstacle. bock,k L represents the width of the k-th obstacle. bock,k S represents the length of the k-th obstacle, where k represents the number of obstacles. sun This indicates the area of ​​the region where sunlight was blocked. Consider the angle of sunlight and the effect of the shadow cast by obstructed objects.

8. The digital-based park incubation management system according to claim 1, characterized in that, The intelligent space optimization module further includes a first associated unit and a second associated unit; The first associated unit is used to process the vertical space utilization rate Vutil, pedestrian flow intersection rate Pcross, and equipment density Sbmj dimensionlessly, and then calculate the space efficiency evaluation index Sxzs using the following associated formula: In the formula, a1, a2 and a3 represent the weight values ​​of vertical space utilization rate Vutil, pedestrian flow line intersection rate Pcross and equipment density Sbmj, respectively, and C2 represents the second correction constant. The second correlation unit is used to calculate the comfort matching coefficient Epms by dimensionlessly processing the ventilation path efficiency (Veff), equipment maintenance passage occupancy (Mroute), and line-of-sight obstruction (Bblock) using the following correlation formula: In the formula, a4, a5 and a6 represent the weight values ​​of ventilation path efficiency Veff, equipment maintenance passage occupancy rate Mroute and line-of-sight obstruction rate Bblock, respectively; C3 represents the third correction constant.

9. The digital-based park incubation management system according to claim 1, characterized in that, The performance evaluation module includes a first evaluation unit and a second evaluation unit; The first evaluation unit is used to set a predetermined space efficiency threshold Q1, and compare and analyze the space efficiency evaluation index Sxzs with the space efficiency threshold Q1 to determine whether the current incubation space configuration of the enterprise needs to be adjusted or optimized, including: If the space efficiency assessment index Sxzs > space efficiency threshold Q1, it indicates that the incubation space configuration is unqualified. Overly dense equipment configuration leads to congestion and maintenance difficulties. The first optimization strategy is generated as follows: readjust the equipment layout to increase the average spacing dsb between equipment by 10%; optimize vertical space utilization by increasing multi-layer racks and suspended equipment by 10% to improve the vertical space utilization rate Vutil; redesign the pedestrian flow line to reduce the intersection area of ​​equipment maintenance channels and pedestrian routes by 10%-30%, until the pedestrian flow line intersection rate Pcross is reduced to 10% of the current value. If the space efficiency assessment index Sxzs = space efficiency threshold Q1, it indicates that the incubation space configuration is qualified and should be continuously monitored. If the space efficiency assessment index Sxzs < space efficiency threshold Q1, it indicates that the incubation space configuration is unqualified. An overly sparse equipment layout poses a risk of wasted space and uneven pedestrian flow paths. A second optimization strategy is generated: Based on the company's needs analysis, assess whether to introduce more equipment, increasing the number of devices by 10% to 20%, and re-planning the equipment layout to reduce the spacing between devices, lowering the average spacing (dsb) between devices to 90% of its original value; increase the number of people moving simultaneously on the current 10% flow line (N). flow Optimize flow line efficiency.

10. The digital-based park incubation management system according to claim 9, characterized in that, The second evaluation unit is used to set a comfort effectiveness threshold Q2, and compares and analyzes the comfort matching coefficient Epms with the comfort effectiveness threshold Q2 to measure the comfort level of the incubation space, including: If the comfort matching coefficient Epms ≥ comfort efficiency threshold Q2, it means that the current incubation space is at a qualified level, with good ventilation, smooth personnel flow and minimal obstruction of sight. The existing configuration should be maintained and monitored regularly. If the comfort matching coefficient Epms < comfort efficiency threshold Q2, it indicates that the current incubation space is not comfortable enough. A third optimization strategy is generated, including: adding 1-2 high-efficiency ventilation devices and increasing the number or width of aisles by 20%-30% to improve air circulation; reducing the area occupied by maintenance aisles and decreasing the maintenance aisle occupancy rate (Mroute) by 10%-20%; moving or adjusting the position of furniture and equipment and reducing the height or number of visual obstructions by 20%-30%; and selecting transparent materials for partitions to reduce the impact of visual obstruction.

Images