Smart park platform planning and designing system

Abstract

The invention discloses a smart park platform planning and designing system, and belongs to the technical field of smart city construction. Multi-source static and dynamic data are integrated through the data acquisition and integration module, and the space function planning module and the dynamic resource allocation optimization module construct an optimization model based on core function requirements and resource requirements, so that scientific planning of space layout and resource allocation is realized; the simulation evaluation display module dynamically evaluates the traffic flow, the environmental influence and the resource efficiency by using a three-dimensional digital park model and a multi-dimensional simulation technology, provides a visual and quantitative evaluation result for a planning scheme, effectively reduces the design risk, combines the planning intelligent auxiliary decision-making module and the user participation feedback module, and improves the design efficiency. Through a rule engine and a multi-dimensional comparison model, an optimal design strategy is recommended for the dimensions of cost, efficiency, environment and the like, meanwhile, user requirements are collected and converted into optimization suggestions, a closed-loop optimization process is formed, and the applicability of a planning scheme and the user satisfaction degree are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city construction, and in particular to a smart park platform planning and design system. Background Art

[0002] Existing park planning and design methods usually rely on a single data source or static planning model, which cannot reflect the dynamic changes in the park in real time, such as the flow of people, traffic flow and resource consumption, resulting in low adaptability and efficiency of planning schemes in practical applications. In addition, there is a lack of effective data linkage and coordination mechanism between various links in the traditional design process, resulting in low planning efficiency and serious waste of resources.

[0003] At the same time, planning decisions are often based on experience and qualitative analysis, lacking the support of quantitative evaluation tools, and are unable to meet the needs of modern parks for refined management, optimal resource allocation, and green and low-carbon development.

[0004] Currently, the smart park planning systems on the market mostly focus on single module functions and lack systematic design and intelligent decision-making support for the entire life cycle. Summary of the invention

[0005] The purpose of the present invention is to provide a smart park platform planning and design system to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: a smart park platform planning and design system, comprising:

[0007] Data collection and integration module for:

[0008] Collect the basic data required for park planning and design, and perform denoising, classification, standardization and storage on the collected basic data;

[0009] Spatial function planning module for:

[0010] Select core functional requirements according to the park's positioning, extract basic data from the data collection and integration module, establish a spatial function optimization model, generate functional area planning schemes based on zoning optimization, receive feedback data from other modules and adjust the planning layout in real time;

[0011] Dynamic resource configuration optimization module, used for:

[0012] Based on the historical and real-time basic data provided by the data acquisition and integration module, the resource demand of each functional area is predicted, and a resource allocation optimization model is constructed to configure and dynamically optimize basic resources. The optimized resource allocation plan is passed to the simulation evaluation and display module for feasibility verification, and the model parameters are adjusted according to the verification results.

[0013] Simulation evaluation demonstration module for:

[0014] Based on the input planning and resource allocation plans, simulate and evaluate different plans, build a three-dimensional digital park model, and generate a multi-dimensional evaluation report;

[0015] Planning intelligent decision-making support module for:

[0016] Conduct multi-dimensional analysis of basic data and simulation results, recommend the best design strategy for different planning objectives, and compare the comprehensive performance of alternative solutions in terms of cost, efficiency, and environmental impact;

[0017] User participation feedback module, used to:

[0018] Generate user interaction interface, automatically classify and analyze user feedback, extract key requirements, and convert user requirements into optimization suggestions;

[0019] System collaborative management module, used for:

[0020] Carry out data sharing and functional linkage between modules, seamlessly interact with data between modules based on standardized data interfaces, dynamically allocate computing and data processing tasks of each module, and monitor the system operation status in real time.

[0021] Furthermore, the basic data collected in the data collection and integration module include topography, environmental conditions, building distribution information, traffic data and resource distribution;

[0022] Among them, static data on topography, environmental conditions, building distribution information and resource location are obtained through hardware sensing equipment and geographic mapping tools, and pedestrian flow data, vehicle flow data and real-time energy consumption data are collected through dynamic monitoring devices.

[0023] Furthermore, the space function planning module includes:

[0024] Functional requirements matching unit, used to:

[0025] Receive basic data provided by the data collection and integration module, and build optimization rules with functional matching as the goal based on the core functional requirements of the park, wherein the core functional requirements include R&D office, commercial services and residential functions;

[0026] According to the optimization rules, spatial functional requirements are matched, the area suitable for core functional requirements is extracted, and a preliminary functional division plan is output;

[0027] Partition optimization unit for:

[0028] Receive the preliminary functional division plan provided by the functional demand matching unit and establish an optimization model with traffic convenience, resource utilization and functional coupling as objective functions;

[0029] Using zoning optimization to generate a preliminary functional zone division plan, the functional zone division plan includes the delineation of functional zone boundaries, the layout of the main transportation network and the secondary transportation network, and the distribution of supporting facilities;

[0030] The functional area division plan is input into the simulation evaluation and display module to evaluate the traffic flow, resource allocation and environmental impact indicators. According to the feedback data provided by the simulation evaluation and display module, the model parameters are dynamically adjusted and optimized, and the functional area division plan is iterated.

[0031] Furthermore, the dynamic resource configuration optimization module includes:

[0032] Resource demand forecasting unit, used to:

[0033] Receive historical and real-time basic data provided by the data collection and integration module to build a resource demand forecasting model;

[0034] According to the type and area of ​​the functional area, combined with real-time data, short-term and long-term resource demand is predicted, and the resource demand results of each functional area are output;

[0035] Resource allocation optimization unit, used to:

[0036] Based on the result of the resource demand prediction unit, a resource allocation optimization model is constructed, wherein the resource allocation optimization model takes resource allocation efficiency, functional area demand matching degree and resource utilization rate as objective functions;

[0037] Setting constraints on resource allocation, including total resource volume, environmental carrying capacity, and cost limits;

[0038] Based on the resource allocation optimization model, basic resources are configured, including land, energy, transportation and infrastructure, and resource allocation plans are generated, and the plans are transmitted to the simulation evaluation display module for feasibility verification;

[0039] Scheme verification and adjustment unit, used to:

[0040] Receive resource allocation scheme evaluation results provided by the simulation evaluation display module, wherein the scheme evaluation results include traffic flow, energy utilization rate and environmental index data;

[0041] Dynamically adjusting the parameters of the resource allocation optimization model according to the scheme evaluation results, wherein the dynamic adjustment of the allocation parameters includes objective function weight adjustment and constraint condition adjustment;

[0042] The optimized solution is regenerated and verified by dynamically adjusting the content based on the allocation parameters until the solution meets the target needs and feasibility requirements.

[0043] Furthermore, the simulation evaluation display module includes:

[0044] 3D digital park construction unit, used for:

[0045] Receive the functional area division plan and resource allocation plan, and build a three-dimensional spatial model of the park based on the topography, building distribution and basic data provided by the data acquisition and integration module and the planning plan;

[0046] Dynamically display the digital park by loading dynamic data in real time and output a three-dimensional digital park model, wherein the dynamic data includes pedestrian flow, vehicle flow and energy consumption data;

[0047] Traffic environment simulation unit, used for:

[0048] Simulate traffic flow, capacity and commuting time on the main and secondary roads within the park;

[0049] Calculate the energy efficiency and environmental indicators in the park based on the resource allocation plan and energy consumption data, including carbon emissions and pollutant distribution;

[0050] Outputting traffic environment simulation results, the traffic environment simulation results including congestion nodes, energy consumption trends and environmental impact analysis reports;

[0051] Program Evaluation and Analysis Unit, used to:

[0052] Receiving the simulation result of the traffic environment simulation unit, and constructing a multi-dimensional evaluation model, wherein the multi-dimensional evaluation model uses traffic convenience, resource utilization efficiency, environmental impact and economic cost as evaluation indicators;

[0053] The simulation results of different planning schemes are quantitatively compared and analyzed, and a multi-dimensional evaluation report is output, which includes the score of each indicator and the overall performance ranking.

[0054] Furthermore, the planning intelligent auxiliary decision-making module includes:

[0055] Engine strategy recommendation unit, used to:

[0056] Receive historical and real-time basic data provided by the data acquisition and integration module and multi-dimensional evaluation reports from the simulation evaluation and display module;

[0057] Building a rule engine whose rules are based on the core objectives of park planning, including cost control, functional requirements, resource optimization and environmental protection;

[0058] According to the planning objectives and evaluation results, combined with the rule engine output targeted optimization suggestions, the optimization suggestions are strategically classified, and the strategy classification includes low-cost priority strategy, efficiency improvement priority strategy and environmental friendliness priority strategy;

[0059] The optimization suggestion recommendation results are passed to the user participation feedback module for visual display and user verification;

[0060] Comprehensive solution comparison unit for:

[0061] Receive multi-dimensional evaluation reports and user demand data from user participation feedback modules;

[0062] Constructing a comprehensive comparison model, wherein the comprehensive comparison model is based on functional adaptability, cost-effectiveness, environmental impact and traffic convenience;

[0063] Based on the comprehensive comparison model, each indicator of each planning scheme is weighted and scored, and the weight is dynamically adjusted according to different planning goals. The comparative analysis results are output, which include the total score ranking, the comparison chart of the advantages and disadvantages of each indicator, and the recommended description of the applicable scenarios.

[0064] Furthermore, the planning intelligent auxiliary decision-making module also includes:

[0065] Feedback optimization guidance unit for:

[0066] Receive key requirements and optimization suggestions from users for the feedback module;

[0067] Based on key requirements and optimization suggestion data, the feedback data is converted into specific adjustment suggestions, and the adjustment suggestions are returned to the dynamic resource configuration optimization module and the space function planning module for optimization iteration process;

[0068] A feedback optimization report is dynamically generated, wherein the content of the feedback optimization report includes optimization objectives, adjustment plans, and predictions of improvement effects on the original plans.

[0069] Furthermore, the system collaborative management module seamlessly interacts with data between modules based on a standardized data interface, dynamically allocates computing and data processing tasks to each module, and monitors the system operating status in real time.

[0070] Furthermore, the operating status of the standardized data interface is monitored in real time, and when the operating status is abnormal, an interface abnormality warning is issued, including:

[0071] Real-time monitoring of operating status parameters of the standardized data interface, wherein the operating status parameters of the standardized data interface include the number of interactive tasks, the amount of data transmitted, the data transmission rate, and the completeness rate of interactive data;

[0072] Comparing the number of interactive tasks with a preset task number threshold;

[0073] When the number of interactive tasks exceeds a preset task number threshold, the operating state parameter of the standardized data interface at the moment when the number of interactive tasks exceeds the preset task number threshold is retrieved;

[0074] Obtaining an operating status evaluation coefficient using the operating status parameters of the standardized data interface;

[0075] The operating status evaluation coefficient is obtained by the following formula:

[0076]

[0077] Wherein, Q represents the operating status evaluation coefficient; n represents the number of unit times of the standardized data interface operation experience, and the unit time is 1s; C s Indicates the number of interactive tasks that exceeds the preset task number threshold; R s 、v s and p s Indicates the data transmission volume, data transmission rate and interaction data integrity rate corresponding to the moment when the number of interaction tasks exceeds the preset task number threshold; C i , R i 、v i and p i represents the number of interactive tasks, data transmission volume, data transmission rate and interactive data completeness rate corresponding to the i-th unit time; p y Indicates the preset completeness rate threshold;

[0078] Comparing the operating status evaluation coefficient with a preset evaluation coefficient threshold;

[0079] When the operating status evaluation coefficient is lower than a preset evaluation coefficient threshold, the safety of the standardized data interface is determined.

[0080] Furthermore, when the operating status evaluation coefficient is lower than a preset evaluation coefficient threshold, the security of the standardized data interface is determined, including:

[0081] When the operation status evaluation coefficient is lower than the preset evaluation coefficient threshold, the safe operation parameters of the standardized data interface are retrieved, wherein the safe operation parameters include the proportion of encrypted transmission, the number of key characters corresponding to the encrypted transmission, and the number of element types contained in the key characters;

[0082] Obtaining a safety performance factor using the safety operation parameters of the standardized data interface;

[0083] The safety performance coefficient is obtained by the following formula:

[0084]

[0085] Where E represents the safety performance factor; P m represents the proportion of encrypted transmission; k represents the number of encrypted transmissions; Y i Indicates the number of key characters corresponding to the i-th encrypted transmission; Z i Indicates the number of element types contained in the key characters corresponding to the i-th encrypted transmission; Y b represents the standard deviation of the number of key characters corresponding to n encrypted transmissions; Z b Indicates the standard deviation of the number of element types contained in the key characters corresponding to n encrypted transmissions; Y c Indicates the preset standard deviation reference value of the number of key characters; Z c Indicates the preset reference value of the standard deviation of the element type quantity;

[0086] Retrieve the operating status evaluation coefficient;

[0087] The comprehensive performance parameter is obtained by using the operating status evaluation coefficient and the safety performance coefficient; wherein the comprehensive performance parameter is obtained by the following formula:

[0088]

[0089] Wherein, D represents comprehensive performance parameters; D0 represents the preset parameter reference value; E represents the safety performance coefficient; Q represents the operating status evaluation coefficient;

[0090] Comparing the comprehensive performance parameter with a preset performance parameter threshold;

[0091] When the comprehensive performance parameter exceeds a preset performance parameter threshold, it is determined that the standardized data interface is operating abnormally, and an abnormal alarm is issued.

[0092] Compared with the prior art, the present invention has the following beneficial effects:

[0093] 1. The present invention collects multi-source static and dynamic data through the data acquisition and integration module, and combines the optimization model with the simulation technology to realize the integrated management of the whole process from data acquisition, spatial function planning to dynamic resource allocation, simulation evaluation, intelligent decision-making and user feedback. The modules realize efficient data sharing and functional linkage through the system collaborative management module to ensure the intelligence and coordination of the planning and design process. The overall framework avoids the problem of information islands, greatly improves the planning and design efficiency, can cope with the planning needs of complex parks and support flexible adjustment and iterative optimization.

[0094] 2. The present invention generates a three-dimensional digital model of the park through a simulation evaluation display module, dynamically simulates key indicators such as traffic, resource allocation and environmental impact, and combines the rule engine of the planning intelligent decision-making support module to conduct multi-dimensional evaluation and optimization decision-making. The program evaluation covers core indicators such as traffic convenience, resource utilization, environmental impact and economic cost, providing intuitive and quantitative data support for scientific decision-making, while effectively reducing the risk of planning implementation. The optimization process based on multi-dimensional simulation and evaluation helps to generate efficient, environmentally friendly and economically reasonable park planning programs.

[0095] 3. The present invention achieves a close integration of user needs and planning goals through the user participation feedback module, can automatically classify and analyze user feedback, extract key needs and convert them into optimization suggestions. At the same time, the feedback data drives the dynamic adjustment of resource allocation and functional planning through the intelligent auxiliary decision-making module, forming a closed-loop optimization of planning and design. Combined with the goals of environmental protection and resource conservation, the system supports the planning and construction of green parks, helps to realize the core concept of sustainable development, and improves the practicality of park solutions and user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] Figure 1 This is a schematic diagram of the smart park platform planning and design system modules of the present invention. DETAILED DESCRIPTION

[0097] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0098] See also Figure 1 , the present invention provides the following technical solutions:

[0099] A smart park platform planning and design system, comprising:

[0100] Data collection and integration module for:

[0101] Collect the basic data required for park planning and design, and perform denoising, classification, standardization and storage on the collected basic data;

[0102] Spatial function planning module for:

[0103] Select core functional requirements according to the park's positioning, extract basic data from the data collection and integration module, establish a spatial function optimization model, generate functional area planning schemes based on zoning optimization, receive feedback data from other modules and adjust the planning layout in real time;

[0104] Dynamic resource configuration optimization module, used for:

[0105] Based on the historical and real-time basic data provided by the data acquisition and integration module, the resource demand of each functional area is predicted, and a resource allocation optimization model is constructed to configure and dynamically optimize basic resources. The optimized resource allocation plan is passed to the simulation evaluation and display module for feasibility verification, and the model parameters are adjusted according to the verification results.

[0106] Simulation evaluation demonstration module for:

[0107] Based on the input planning and resource allocation plans, simulate and evaluate different plans, build a three-dimensional digital park model, and generate a multi-dimensional evaluation report;

[0108] Planning intelligent decision-making support module for:

[0109] Conduct multi-dimensional analysis of basic data and simulation results, recommend the best design strategy for different planning objectives, and compare the comprehensive performance of alternative solutions in terms of cost, efficiency, and environmental impact;

[0110] User participation feedback module, used to:

[0111] Generate user interaction interface, automatically classify and analyze user feedback, extract key requirements, and convert user requirements into optimization suggestions;

[0112] System collaborative management module, used for:

[0113] Carry out data sharing and functional linkage between modules.

[0114] In the above embodiment, the system covers the complete process from data collection to decision optimization. Data sharing and functional linkage are achieved between modules through collaborative management, so as to avoid information islands and improve planning efficiency. Based on multi-dimensional analysis and simulation evaluation, the system can automatically recommend optimized design solutions according to different planning goals, greatly reducing the uncertainty and deviation of human decision-making. Through real-time data and feedback iteration optimization model, dynamic updating of planning solutions and refined management of resource allocation are achieved, and the flexibility and adaptability of park operations are improved. Through the user interaction interface and feedback module, the opinions and needs of park users are widely absorbed, and the rationality of the solution and user experience are enhanced. Through dynamic simulation and evaluation of key indicators such as resource utilization and environmental impact, the system supports the planning goals of green parks and helps to achieve a balance between ecological and economic benefits.

[0115] The basic data collected in the data collection and integration module include topography, environmental conditions, building distribution information, traffic data and resource distribution;

[0116] Among them, static data on topography, environmental conditions, building distribution information and resource location are obtained through hardware sensing equipment and geographic mapping tools, and pedestrian flow data, vehicle flow data and real-time energy consumption data are collected through dynamic monitoring devices.

[0117] In the above embodiment, it supports the collection of various data such as topography, environmental conditions, building distribution, pedestrian flow, vehicle flow, energy consumption, etc., and ensures the comprehensiveness and accuracy of the data through hardware sensor equipment and geographic mapping tools, providing a reliable data foundation for subsequent modules. By denoising, classifying and standardizing the data, the module solves the problem of inconsistent formats of multi-source data, improves the availability and compatibility of the data, and lays the foundation for data docking and analysis of each module. It collects dynamic data in real time, such as pedestrian flow and energy consumption, and provides key support for the dynamic optimization of the system. Through scientific data storage and management strategies, the module can preserve historical data for a long time, providing a reference for resource forecasting and trend analysis.

[0118] Space function planning module, including:

[0119] Functional requirements matching unit, used to:

[0120] Receive basic data provided by the data collection and integration module, and build optimization rules with functional matching as the goal based on the core functional requirements of the park, wherein the core functional requirements include R&D office, commercial services and residential functions;

[0121] According to the optimization rules, spatial functional requirements are matched, the area suitable for core functional requirements is extracted, and a preliminary functional division plan is output;

[0122] Partition optimization unit for:

[0123] Receive the preliminary functional division plan provided by the functional demand matching unit and establish an optimization model with traffic convenience, resource utilization and functional coupling as objective functions;

[0124] Using zoning optimization to generate a preliminary functional zone division plan, the functional zone division plan includes the delineation of functional zone boundaries, the layout of the main transportation network and the secondary transportation network, and the distribution of supporting facilities;

[0125] The functional area division plan is input into the simulation evaluation and display module to evaluate the traffic flow, resource allocation and environmental impact indicators. According to the feedback data provided by the simulation evaluation and display module, the model parameters are dynamically adjusted and optimized, and the functional area division plan is iterated.

[0126] In the above embodiment, optimization rules are constructed based on core functional requirements, and suitable areas are extracted through data analysis to achieve accurate matching and preliminary division of spatial functions, thereby improving the scientificity and rationality of functional area division. By constructing an optimization model with traffic convenience, resource utilization and functional coupling as the goals, various factors of the park's functional layout are comprehensively considered to generate a functional area division plan with an overall optimal effect. According to the feedback data provided by the simulation evaluation display module, the planning layout is dynamically adjusted to achieve continuous optimization of the layout plan and adapt to changes in the park's development needs. At the same time, the layout of the main transportation network and the secondary transportation network, as well as the distribution of supporting facilities, are considered to ensure that the planning plan can take into account both convenience and functional integrity.

[0127] Dynamic resource configuration optimization module, including:

[0128] Resource demand forecasting unit, used to:

[0129] Receive historical and real-time basic data provided by the data collection and integration module to build a resource demand forecasting model;

[0130] According to the type and area of ​​the functional area, combined with real-time data, short-term and long-term resource demand is predicted, and the resource demand results of each functional area are output;

[0131] Resource allocation optimization unit, used to:

[0132] Based on the result of the resource demand prediction unit, a resource allocation optimization model is constructed, wherein the resource allocation optimization model takes resource allocation efficiency, functional area demand matching degree and resource utilization rate as objective functions;

[0133] Setting constraints on resource allocation, including total resource volume, environmental carrying capacity, and cost limits;

[0134] Based on the resource allocation optimization model, basic resources are configured, including land, energy, transportation and infrastructure, and resource allocation plans are generated, and the plans are transmitted to the simulation evaluation display module for feasibility verification;

[0135] Scheme verification and adjustment unit, used to:

[0136] Receive resource allocation scheme evaluation results provided by the simulation evaluation display module, wherein the scheme evaluation results include traffic flow, energy utilization rate and environmental index data;

[0137] Dynamically adjusting the parameters of the resource allocation optimization model according to the scheme evaluation results, wherein the dynamic adjustment of the allocation parameters includes objective function weight adjustment and constraint condition adjustment;

[0138] The optimized solution is regenerated and verified by dynamically adjusting the content based on the allocation parameters until the solution meets the target needs and feasibility requirements.

[0139] In the above embodiment, by constructing a resource demand prediction model, the module can accurately predict short-term and long-term resource needs based on the functional area type, area and real-time data, avoid resource waste or shortage, and by constructing a resource allocation optimization model, with resource utilization and allocation efficiency as the goal, combined with environmental carrying capacity and cost constraints, generate a resource allocation plan to ensure efficient allocation and rational utilization of resources. Based on the simulation evaluation results, the resource allocation model is dynamically adjusted, and the configuration plan is continuously optimized through parameter iteration to ensure the feasibility and adaptability of the plan, support the comprehensive management and optimal allocation of multiple types of resources such as land, energy, transportation and infrastructure, and meet the needs of diversified development of the park.

[0140] Simulation evaluation demonstration module, including:

[0141] 3D digital park construction unit, used for:

[0142] Receive the functional area division plan and resource allocation plan, and build a three-dimensional spatial model of the park based on the topography, building distribution and basic data provided by the data acquisition and integration module and the planning plan;

[0143] Dynamically display the digital park by loading dynamic data in real time and output a three-dimensional digital park model, wherein the dynamic data includes pedestrian flow, vehicle flow and energy consumption data;

[0144] Traffic environment simulation unit, used for:

[0145] Simulate traffic flow, capacity and commuting time on the main and secondary roads within the park;

[0146] Calculate the energy efficiency and environmental indicators in the park based on the resource allocation plan and energy consumption data, including carbon emissions and pollutant distribution;

[0147] Outputting traffic environment simulation results, the traffic environment simulation results including congestion nodes, energy consumption trends and environmental impact analysis reports;

[0148] Program Evaluation and Analysis Unit, used to:

[0149] Receiving the simulation result of the traffic environment simulation unit, and constructing a multi-dimensional evaluation model, wherein the multi-dimensional evaluation model uses traffic convenience, resource utilization efficiency, environmental impact and economic cost as evaluation indicators;

[0150] The simulation results of different planning schemes are quantitatively compared and analyzed, and a multi-dimensional evaluation report is output, which includes the score of each indicator and the overall performance ranking.

[0151] In the above embodiment, a three-dimensional digital park model is constructed based on topographic and building distribution data, and real-time data is dynamically loaded to make the planning effect more intuitive and visual, simulate traffic flow, energy efficiency and environmental indicators, provide scientific verification for the feasibility of the plan, and reduce the risk of problems after the implementation of the plan. By constructing a multi-dimensional evaluation model, the advantages and disadvantages of different plans are quantitatively compared from multiple angles such as traffic convenience, resource utilization efficiency, environmental impact and economic cost, providing data support for decision-making. The generated analysis report includes congestion nodes, energy consumption trends and environmental impacts, etc., providing detailed improvement basis for solution optimization.

[0152] Planning intelligent decision-making support module, including:

[0153] Engine strategy recommendation unit, used to:

[0154] Receive historical and real-time basic data provided by the data acquisition and integration module and multi-dimensional evaluation reports from the simulation evaluation and display module;

[0155] Building a rule engine whose rules are based on the core objectives of park planning, including cost control, functional requirements, resource optimization and environmental protection;

[0156] According to the planning objectives and evaluation results, combined with the rule engine output targeted optimization suggestions, the optimization suggestions are strategically classified, and the strategy classification includes low-cost priority strategy, efficiency improvement priority strategy and environmental friendliness priority strategy;

[0157] The optimization suggestion recommendation results are passed to the user participation feedback module for visual display and user verification;

[0158] Comprehensive solution comparison unit for:

[0159] Receive multi-dimensional evaluation reports and user demand data from user participation feedback modules;

[0160] Constructing a comprehensive comparison model, wherein the comprehensive comparison model is based on functional adaptability, cost-effectiveness, environmental impact and traffic convenience;

[0161] Based on the comprehensive comparison model, each indicator of each planning scheme is weighted and scored, the weight is dynamically adjusted according to different planning goals, and the comparative analysis results are output. The comparative analysis results include the total score ranking, the comparison chart of the advantages and disadvantages of each indicator, and the recommended description of the applicable scenario;

[0162] Feedback optimization guidance unit for:

[0163] Receive key requirements and optimization suggestions from users for the feedback module;

[0164] Based on key requirements and optimization suggestion data, the feedback data is converted into specific adjustment suggestions, and the adjustment suggestions are returned to the dynamic resource configuration optimization module and the space function planning module for optimization iteration process;

[0165] A feedback optimization report is dynamically generated, wherein the content of the feedback optimization report includes optimization objectives, adjustment plans, and predictions of improvement effects on the original plans.

[0166] In the above embodiment, the module is based on the rule engine and combines the simulation evaluation results to automatically generate targeted optimization suggestions, thereby improving the efficiency and intelligence level of planning and design. Through the comprehensive comparison model, the module can quantitatively analyze the advantages and disadvantages of different solutions from multiple dimensions, provide intuitive comparison results and applicable scenario recommendations, and assist decision makers in selecting the optimal solution. The module fully absorbs user feedback and key requirements, converts them into specific optimization suggestions, realizes a closed-loop optimization process, enhances the applicability of the solution and user satisfaction, and dynamically adjusts the optimization strategies and solutions according to changes in the park development goals and the latest feedback data to ensure the flexibility and sustainability of planning and design.

[0167] Specifically, the operating status of the standardized data interface is monitored in real time, and when the operating status is abnormal, an interface abnormality warning is issued, including:

[0168] Real-time monitoring of operating status parameters of the standardized data interface, wherein the operating status parameters of the standardized data interface include the number of interactive tasks, the amount of data transmitted, the data transmission rate, and the completeness rate of interactive data;

[0169] Comparing the number of interactive tasks with a preset task number threshold;

[0170] When the number of interactive tasks exceeds a preset task number threshold, the operating state parameter of the standardized data interface at the moment when the number of interactive tasks exceeds the preset task number threshold is retrieved;

[0171] Obtaining an operating status evaluation coefficient using the operating status parameters of the standardized data interface;

[0172] The operating status evaluation coefficient is obtained by the following formula:

[0173]

[0174] Wherein, Q represents the operating status evaluation coefficient; n represents the number of unit times of the standardized data interface operation experience, and the unit time is 1s; C s Indicates the number of interactive tasks that exceeds the preset task number threshold; R s 、v s and p sIndicates the data transmission volume, data transmission rate and interaction data integrity rate corresponding to the moment when the number of interaction tasks exceeds the preset task number threshold; C i , R i 、v i and p i represents the number of interactive tasks, data transmission volume, data transmission rate and interactive data completeness rate corresponding to the i-th unit time; p y Indicates the preset completeness rate threshold;

[0175] Comparing the operating status evaluation coefficient with a preset evaluation coefficient threshold;

[0176] When the operating status evaluation coefficient is lower than a preset evaluation coefficient threshold, the safety of the standardized data interface is determined.

[0177] The technical effect of the above technical solution is: by real-time monitoring of the operating status parameters of the standardized data interface (such as the number of interactive tasks, the amount of data transmitted, the data transmission rate, and the completeness of the interactive data), the technical solution can timely capture the changes in the operating status of the interface. When an abnormality is detected (such as the number of interactive tasks exceeds the preset task number threshold), an early warning can be issued immediately, thereby improving the response speed of the system and the timeliness of fault handling. By introducing the operating status evaluation coefficient Q, the technical solution can comprehensively consider multiple operating status parameters (the number of interactive tasks, the amount of data transmitted, the data transmission rate, and the completeness of the interactive data) to accurately evaluate the operating status of the interface. This comprehensive evaluation method is more comprehensive than a single parameter evaluation and can more accurately reflect the actual operating status of the interface. The technical solution allows users to set preset task number thresholds, evaluation coefficient thresholds and other parameters, so that they can be flexibly adjusted according to actual needs. When the operating status evaluation coefficient is lower than the preset evaluation coefficient threshold, the system will determine the security of the standardized data interface, which helps to promptly discover and deal with potential security issues. Through real-time monitoring and early warning, as well as accurate operation status evaluation, this technical solution can promptly detect and handle abnormal conditions in interface operation, thereby avoiding or reducing problems such as system instability or data loss caused by interface failures. This helps to improve the stability and reliability of the entire system and ensure the integrity and security of data. Through automated monitoring and early warning mechanisms, this technical solution can reduce the workload of operation and maintenance personnel and improve operation and maintenance efficiency. At the same time, accurate operation status evaluation also provides strong decision-making support for operation and maintenance personnel, helping them to locate problems more quickly and take appropriate solutions.

[0178] In summary, this technical solution effectively improves the operational stability and security of the standardized data interface through real-time monitoring, precise evaluation, flexible judgment and optimized operation and maintenance, providing a strong guarantee for the reliable operation of the system.

[0179] Specifically, when the operating status evaluation coefficient is lower than a preset evaluation coefficient threshold, the security of the standardized data interface is determined, including:

[0180] When the operation status evaluation coefficient is lower than the preset evaluation coefficient threshold, the safe operation parameters of the standardized data interface are retrieved, wherein the safe operation parameters include the proportion of encrypted transmission, the number of key characters corresponding to the encrypted transmission, and the number of element types contained in the key characters;

[0181] Obtaining a safety performance factor using the safety operation parameters of the standardized data interface;

[0182] The safety performance coefficient is obtained by the following formula:

[0183]

[0184] Where E represents the safety performance factor; P m represents the proportion of encrypted transmission; k represents the number of encrypted transmissions; Y i Indicates the number of key characters corresponding to the i-th encrypted transmission; Z i Indicates the number of element types contained in the key characters corresponding to the i-th encrypted transmission; Y b represents the standard deviation of the number of key characters corresponding to n encrypted transmissions; Z b Indicates the standard deviation of the number of element types contained in the key characters corresponding to n encrypted transmissions; Y c Indicates the preset standard deviation reference value of the number of key characters; Z c Indicates the preset reference value of the standard deviation of the element type quantity;

[0185] Retrieve the operating status evaluation coefficient;

[0186] The comprehensive performance parameter is obtained by using the operating status evaluation coefficient and the safety performance coefficient; wherein the comprehensive performance parameter is obtained by the following formula:

[0187]

[0188] Wherein, D represents comprehensive performance parameters; D0 represents the preset parameter reference value; E represents the safety performance coefficient; Q represents the operating status evaluation coefficient;

[0189] Comparing the comprehensive performance parameter with a preset performance parameter threshold;

[0190] When the comprehensive performance parameter exceeds a preset performance parameter threshold, it is determined that the standardized data interface is operating abnormally, and an abnormal alarm is issued.

[0191] The technical effect of the above technical solution is: by introducing the security performance coefficient E, the technical solution can comprehensively consider the security operation parameters such as the proportion of encrypted transmission, the number of key characters and the number of element types contained in the key characters, and accurately evaluate the security of the standardized data interface. This comprehensive evaluation method not only takes into account the popularity of encrypted transmission, but also deeply analyzes the complexity and diversity of keys, thereby more comprehensively reflecting the security performance of the interface. When the operation status evaluation coefficient is lower than the preset evaluation coefficient threshold, the technical solution can immediately retrieve the security operation parameters for further security performance evaluation. If the comprehensive performance parameter exceeds the preset performance parameter threshold, the interface operation is judged to be abnormal and an abnormal alarm is issued, which helps to timely discover and deal with potential security risks. The technical solution allows users to set parameters such as preset evaluation coefficient thresholds, performance parameter thresholds, standard deviation reference values ​​of the number of key characters, and standard deviation reference values ​​of the number of element types, so that they can be flexibly adjusted according to actual needs. This flexibility enables the technical solution to adapt to the security assessment needs in different scenarios. Through real-time monitoring, accurate evaluation and flexible judgment, the technical solution can timely discover and deal with security issues in the operation of standardized data interfaces, thereby avoiding or reducing problems such as system instability or data leakage caused by interface failures or security vulnerabilities. This helps improve the security and stability of the entire system and ensure the integrity and confidentiality of data. Automated monitoring, evaluation and early warning mechanisms can reduce the workload of operation and maintenance personnel and improve operation and maintenance efficiency. At the same time, accurate safety performance evaluation and operation status evaluation also provide strong decision-making support for operation and maintenance personnel, helping them to locate problems more quickly and take corresponding solutions. Since the technical solution allows users to set and adjust parameters according to actual needs, it has strong maintainability and scalability. This means that as the system develops and security requirements continue to change, the technical solution can be easily adapted and adjusted.

[0192] In summary, this technical solution realizes functions such as real-time monitoring, accurate evaluation and flexible judgment by comprehensively evaluating the security and operating status of standardized data interfaces, effectively improving the security and stability of the system, optimizing operation and maintenance efficiency, and enhancing the maintainability and scalability of the system.

[0193] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A smart park platform planning and design system, characterized in that: include: Data collection and integration module for: Collect the basic data required for park planning and design, and perform denoising, classification, standardization and storage on the collected basic data; Spatial function planning module for: Select core functional requirements according to the park's positioning, extract basic data from the data collection and integration module, establish a spatial function optimization model, generate functional area planning schemes based on zoning optimization, receive feedback data from other modules and adjust the planning layout in real time; Dynamic resource configuration optimization module, used for: Based on the historical and real-time basic data provided by the data acquisition and integration module, the resource demand of each functional area is predicted, and a resource allocation optimization model is constructed to configure and dynamically optimize basic resources. The optimized resource allocation plan is passed to the simulation evaluation and display module for feasibility verification, and the model parameters are adjusted according to the verification results. Simulation evaluation demonstration module for: Based on the input planning and resource allocation plans, simulate and evaluate different plans, build a three-dimensional digital park model, and generate a multi-dimensional evaluation report; Planning intelligent decision-making support module for: Conduct multi-dimensional analysis of basic data and simulation results, recommend the best design strategy for different planning objectives, and compare the comprehensive performance of alternative solutions in terms of cost, efficiency, and environmental impact; User participation feedback module, used to: Generate user interaction interface, automatically classify and analyze user feedback, extract key requirements, and convert user requirements into optimization suggestions; System collaborative management module, used for: Carry out data sharing and functional linkage.

2. A smart park platform planning and design system as claimed in claim 1, characterized in that: The basic data collected in the data collection and integration module include topography, environmental conditions, building distribution information, flow data and resource distribution; Among them, static data on topography, environmental conditions, building distribution information and resource location are obtained through hardware sensing equipment and geographic mapping tools, and pedestrian flow data, vehicle flow data and real-time energy consumption data are collected through dynamic monitoring devices.

3. A smart park platform planning and design system as claimed in claim 1, characterized in that: The spatial function planning module includes: Functional requirements matching unit, used to: Receive basic data provided by the data collection and integration module, and build optimization rules with functional matching as the goal based on the core functional requirements of the park, wherein the core functional requirements include R&D office, commercial services and residential functions; According to the optimization rules, spatial functional requirements are matched, the area suitable for core functional requirements is extracted, and a preliminary functional division plan is output; Partition optimization unit for: Receive the preliminary functional division plan provided by the functional demand matching unit and establish an optimization model with traffic convenience, resource utilization and functional coupling as objective functions; Using zoning optimization to generate a preliminary functional zone division plan, the functional zone division plan includes the delineation of functional zone boundaries, the layout of the main transportation network and the secondary transportation network, and the distribution of supporting facilities; The functional area division plan is input into the simulation evaluation and display module to evaluate the traffic flow, resource allocation and environmental impact indicators. According to the feedback data provided by the simulation evaluation and display module, the model parameters are dynamically adjusted and optimized, and the functional area division plan is iterated.

4. A smart park platform planning and design system as claimed in claim 1, characterized in that: The dynamic resource configuration optimization module includes: Resource demand forecasting unit, used to: Receive historical and real-time basic data provided by the data collection and integration module to build a resource demand forecasting model; According to the type and area of ​​the functional area, combined with real-time data, short-term and long-term resource demand is predicted, and the resource demand results of each functional area are output; Resource allocation optimization unit, used to: Based on the result of the resource demand prediction unit, a resource allocation optimization model is constructed, wherein the resource allocation optimization model takes resource allocation efficiency, functional area demand matching degree and resource utilization rate as objective functions; Setting constraints on resource allocation, including total resource volume, environmental carrying capacity, and cost limits; Based on the resource allocation optimization model, basic resources are configured, including land, energy, transportation and infrastructure, and resource allocation plans are generated, and the plans are transmitted to the simulation evaluation display module for feasibility verification; Scheme verification and adjustment unit, used to: Receive resource allocation scheme evaluation results provided by the simulation evaluation display module, wherein the scheme evaluation results include traffic flow, energy utilization rate and environmental index data; Dynamically adjusting the parameters of the resource allocation optimization model according to the scheme evaluation results, wherein the dynamic adjustment of the allocation parameters includes objective function weight adjustment and constraint condition adjustment; The optimized solution is regenerated and verified by dynamically adjusting the content based on the allocation parameters until the solution meets the target needs and feasibility requirements.

5. A smart park platform planning and design system as claimed in claim 1, characterized in that: The simulation evaluation display module includes: 3D digital park construction unit, used for: Receive the functional area division plan and resource allocation plan, and build a three-dimensional spatial model of the park based on the topography, building distribution and basic data provided by the data acquisition and integration module and the planning plan; Dynamically display the digital park by loading dynamic data in real time and output a three-dimensional digital park model, wherein the dynamic data includes pedestrian flow, vehicle flow and energy consumption data; Traffic environment simulation unit, used for: Simulate traffic flow, capacity and commuting time on the main and secondary roads within the park; Calculate the energy efficiency and environmental indicators in the park based on the resource allocation plan and energy consumption data, including carbon emissions and pollutant distribution; Outputting traffic environment simulation results, the traffic environment simulation results including congestion nodes, energy consumption trends and environmental impact analysis reports; Program Evaluation and Analysis Unit, used to: Receiving the simulation result of the traffic environment simulation unit, and constructing a multi-dimensional evaluation model, wherein the multi-dimensional evaluation model uses traffic convenience, resource utilization efficiency, environmental impact and economic cost as evaluation indicators; The simulation results of different planning schemes are quantitatively compared and analyzed, and a multi-dimensional evaluation report is output, which includes the score of each indicator and the overall performance ranking.

6. A smart park platform planning and design system as claimed in claim 1, characterized in that: The planning intelligent auxiliary decision-making module includes: Engine strategy recommendation unit, used to: Receive historical and real-time basic data provided by the data acquisition and integration module and multi-dimensional evaluation reports from the simulation evaluation and display module; Building a rule engine whose rules are based on the core objectives of park planning, including cost control, functional requirements, resource optimization and environmental protection; According to the planning objectives and evaluation results, combined with the rule engine output targeted optimization suggestions, the optimization suggestions are strategically classified, and the strategy classification includes low-cost priority strategy, efficiency improvement priority strategy and environmental friendliness priority strategy; The optimization suggestion recommendation results are passed to the user participation feedback module for visual display and user verification; Comprehensive solution comparison unit for: Receive multi-dimensional evaluation reports and user demand data from user participation feedback modules; Constructing a comprehensive comparison model, wherein the comprehensive comparison model is based on functional adaptability, cost-effectiveness, environmental impact and traffic convenience; Based on the comprehensive comparison model, each indicator of each planning scheme is weighted and scored, and the weight is dynamically adjusted according to different planning goals. The comparative analysis results are output, which include the total score ranking, the comparison chart of the advantages and disadvantages of each indicator, and the recommended description of the applicable scenarios.

7. A smart park platform planning and design system as claimed in claim 6, characterized in that: The planning intelligent auxiliary decision-making module also includes: Feedback optimization guidance unit for: Receive key requirements and optimization suggestions from users for the feedback module; Based on key requirements and optimization suggestion data, the feedback data is converted into specific adjustment suggestions, and the adjustment suggestions are returned to the dynamic resource configuration optimization module and the space function planning module for optimization iteration process; A feedback optimization report is dynamically generated, wherein the content of the feedback optimization report includes optimization objectives, adjustment plans, and predictions of improvement effects on the original plans.

8. A smart park platform planning and design system as claimed in claim 1, characterized in that: The system collaborative management module seamlessly interacts with data based on a standardized data interface, dynamically allocates computing and data processing tasks to each module, and monitors the system operating status in real time.

9. The smart park platform planning and design system according to claim 1, characterized in that: Monitor the operating status of the standardized data interface in real time, and issue an interface abnormality warning when the operating status is abnormal, including: Real-time monitoring of operating status parameters of the standardized data interface, wherein the operating status parameters of the standardized data interface include the number of interactive tasks, the amount of data transmitted, the data transmission rate, and the completeness rate of interactive data; Comparing the number of interactive tasks with a preset task number threshold; When the number of interactive tasks exceeds a preset task number threshold, the operating state parameter of the standardized data interface at the moment when the number of interactive tasks exceeds the preset task number threshold is retrieved; Obtaining an operating status evaluation coefficient using the operating status parameters of the standardized data interface; The operating status evaluation coefficient is obtained by the following formula: Wherein, Q represents the operation status evaluation coefficient; n represents the number of unit time experienced by the standardized data interface operation, and the unit time is 1s; C s Indicates the number of interactive tasks that exceeds the preset task number threshold; R s 、v s and p s Indicates the data transmission volume, data transmission rate and interaction data integrity rate corresponding to the moment when the number of interaction tasks exceeds the preset task number threshold; C i , R i 、v i and p i represents the number of interactive tasks, data transmission volume, data transmission rate and interactive data completeness rate corresponding to the i-th unit time; p y Indicates the preset completeness rate threshold; Comparing the operating status evaluation coefficient with a preset evaluation coefficient threshold; When the operating status evaluation coefficient is lower than a preset evaluation coefficient threshold, the safety of the standardized data interface is determined.

10. A smart park platform planning and design system as claimed in claim 9, characterized in that: When the operating status evaluation coefficient is lower than a preset evaluation coefficient threshold, the safety of the standardized data interface is determined, including: When the operation status evaluation coefficient is lower than the preset evaluation coefficient threshold, the safe operation parameters of the standardized data interface are retrieved, wherein the safe operation parameters include the proportion of encrypted transmission, the number of key characters corresponding to the encrypted transmission, and the number of element types contained in the key characters; Obtaining a safety performance factor using the safety operation parameters of the standardized data interface; The safety performance coefficient is obtained by the following formula: Where E represents the safety performance factor; P m represents the proportion of encrypted transmission; k represents the number of encrypted transmissions; Y i Indicates the number of key characters corresponding to the i-th encrypted transmission; Z i Indicates the number of element types contained in the key characters corresponding to the i-th encrypted transmission; Y b represents the standard deviation of the number of key characters corresponding to n encrypted transmissions; Z b Indicates the standard deviation of the number of element types contained in the key characters corresponding to n encrypted transmissions; Y c Indicates the preset standard deviation reference value of the number of key characters; Z c Indicates the preset reference value of the standard deviation of the element type quantity; Retrieve the operating status evaluation coefficient; The comprehensive performance parameter is obtained by using the operating status evaluation coefficient and the safety performance coefficient; wherein the comprehensive performance parameter is obtained by the following formula: Wherein, D represents comprehensive performance parameters; D0 represents the preset parameter reference value; E represents the safety performance coefficient; Q represents the operating status evaluation coefficient; Comparing the comprehensive performance parameter with a preset performance parameter threshold; When the comprehensive performance parameter exceeds a preset performance parameter threshold, it is determined that the standardized data interface is operating abnormally, and an abnormal alarm is issued.

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