77 results about "Park management" patented technology

The invention discloses a park management method based on digital twinning, particularly relates to the field of park operation, and is used for solving the problem that a multi-source event is difficult to stably chain under the conditions of compensation delay and evidence gap and causes misalignment of disposal triggering. Comprising the following steps of: registering an event in a pool to generate an event number and writing the event number into a platform arrival moment; screening and mapping an anchor point event to a park object identifier and a process stage identifier to generate a management token; checking a stage sequence and an evidence item requirement set according to an event chain rule table in event chain construction and generating a conflict point list; the delay portrait library generates a credible mark when a source is generated and forms a reverse sequence violation spectrum; the digital twin object relation graph forms an influence domain span mark; the closed table is returned to obtain a disposal convergence guarantee level; the cost-sensitive decision tree outputs a disposal template identifier, and the disposal template table generates a management action instruction and a trigger voucher and records an instruction acceptance identifier; and returning, comparing and freezing the exception management token, and updating the event chain rule table and the delay portrait library.

The invention relates to the technical field of smart park integrated management, and discloses a smart park comprehensive management and control system and method based on multi-modal data analysis, and the method comprises the steps: obtaining a park multi-dimensional real-time data flow, and extracting a current situation feature vector and a personnel distribution thermodynamic diagram; analyzing the historical emergency event data sequence by using a space-time convolutional neural network, and outputting an event type identification vector; and generating a dynamic evacuation path planning and resource scheduling scheme based on a graph optimization algorithm, constructing a minimum cost flow optimization problem taking the weighted sum of time cost and waiting time as a target function, and solving to obtain an optimal people flow allocation scheme. The problem that emergency response cannot adapt to dynamic environment changes is solved. Experiential knowledge cannot be effectively inherited and utilized. And the emergency response system is slow in response and improper in resource allocation.

The invention belongs to the technical field of smart park management, and discloses an Internet of Things data fusion method for comprehensive management of a city-level smart park. The method comprises the following steps: constructing an odor spatial distribution model corresponding to each park, and carrying out chemical component analysis to obtain park odor characteristics of each park; comparing the park odor characteristics with a predefined normal odor baseline, and dynamically identifying abnormal odor characteristics corresponding to each park; determining a potential risk event corresponding to each park based on the abnormal odor characteristics; based on the odor spatial distribution model and the abnormal odor characteristics, reversely positioning the position of an abnormal source, and generating an odor source positioning map corresponding to each park; according to the potential risk event and the smell source positioning map, a targeted emergency response strategy is automatically generated and executed; according to the invention, a closed-loop management system from monitoring and early warning to emergency response can be formed, and the environmental risk prevention and control capability and the emergency response speed of the park are improved.

The application discloses a data management platform for smart park construction and belongs to the technical field of smart park management, and specifically comprises the following steps: collecting resource demand data and resource supply data of each enterprise in the park, performing demand feature extraction operation on the collected resource demand data to generate a structured demand description, performing supply feature extraction operation on the resource supply data to generate a structured supply description, calculating the matching degree between demand and supply based on the structured demand description and the structured supply description and generating an initial matching scheme, performing constraint condition checking operation on the initial matching scheme according to the park operation strategy to identify matching pairs that violate the constraint conditions, performing scheme adjustment operation on the matching pairs that violate the constraint conditions to generate an optimized matching scheme, and finally scheduling the park resources to complete resource data sharing between enterprises; and the application realizes intelligent management and efficient sharing of resource data in the park, and improves the overall resource utilization efficiency of the park.

The application discloses a full life cycle management system and method for a smart park based on digital twinning and the Internet of Things, relates to the technical field of smart park management, and comprises a sensing edge module, a data management module, an intelligent analysis module, a life cycle module and a twinning modeling module.The application supports multi-protocol access and edge computing capability, greatly improves data transmission efficiency and stability, the intelligent analysis module outputs accurate analysis results by constructing a multi-class feature matrix and a deep multi-task joint modeling mechanism, and provides data support and model guidance for park dynamic management and intelligent decision-making, the life cycle module fuses Kepler optimization algorithm, multi-agent reinforcement learning and simulated annealing algorithm, establishes a collaborative optimization mechanism, realizes the combination of global search and local fine-tuning of resource scheduling, and effectively optimizes energy consumption, response time, space utilization and safety risks, and the twinning modeling module constructs a three-dimensional model of the park, improves system interactivity and operability.

The invention provides a multi-park-oriented equipment operation and maintenance work order assignment method and a path planning system, and belongs to the technical field of multi-park management. The method comprises the following steps: constructing a digital twinborn model of a'park-building-space-equipment-accessory-operation and maintenance personnel 'six-level topology, splitting an operation and maintenance work order into feature vectors of skill requirements, accessory requirements and energy consumption sensitivity, and generating an initial order dispatching scheme and path planning based on a topological relation and the feature vectors; and the order dispatching scheme and the path planning are dynamically adjusted according to the real-time feedback of the equipment monitoring system in the execution process. According to the method, integrated intelligent decision and dynamic optimization of accessories, personnel, paths and energy consumption are realized, the problems of difficult resource coordination and response delay in multi-park operation and maintenance are effectively solved, and the operation and maintenance efficiency and the resource utilization rate are remarkably improved.

The invention relates to the technical field of smart park management and cloud computing, in particular to a smart park safety management method based on cloud edge cooperative computing. According to the method, the multi-source data is acquired through the terminal device which is calibrated periodically, and the lightweight AI model of the edge node performs preliminary analysis according to the screening threshold and uploads the suspected hidden danger data. And the cloud platform performs deep analysis by using the prediction model, evaluates the security situation level and triggers early warning and emergency response. Meanwhile, the cloud model recognition accuracy, the edge model false alarm rate and the actual hidden danger proportion in the uploaded data are comprehensively calculated, the safety management characterization value is generated, the system state is judged based on the safety management characterization value, then the edge screening threshold value and the data uploading strategy are adaptively and dynamically adjusted, and a continuously-optimized management closed loop is formed. The safety management efficiency of the smart park is improved.

The invention discloses a smart park risk early warning system based on big data, relates to the technical field of smart park management and safety early warning, and provides the following scheme that the system comprises a data acquisition unit, a data transmission unit, a data storage and processing unit, a behavior analysis unit, a risk analysis unit and a user interaction unit; and the data acquisition unit is used for acquiring multi-dimensional data in the park. According to the method, various conditions in the park can be comprehensively perceived, the limitation of traditional single data acquisition is broken through, a rich and comprehensive data basis is provided for subsequent risk analysis and early warning, meanwhile, accurate identification and prediction can be carried out for different types of risks, the accuracy of risk judgment is improved, the situations of false early warning and missing early warning are reduced, and the safety of the park is improved. Meanwhile, emergency linkage equipment can be automatically triggered, the risk response time is shortened, and precious time is won for taking response measures in time and reducing risk loss.

The invention discloses a time prediction method, computer equipment and a computer readable storage medium. The method comprises the following steps: determining data information of at least one park node and at least one inter-park route node; based on the data information, determining an initial time prediction value when the vehicle arrives at the at least one park node; and correcting the initial time prediction value through a Kalman filtering method, and determining a target time prediction value when the vehicle arrives at the at least one park node. Therefore, the time when the vehicle arrives at the at least one park node can be accurately predicted, the overall efficiency of vehicle transportation and park management can be improved, and the user experience is improved.

The invention discloses a smart park comprehensive security and protection management system, which belongs to the technical field of smart park management, and comprises a data acquisition module for deploying edge computing nodes in each key area of a park in a distributed manner, the edge computing nodes acquiring park videos and sensor data, a data fusion module for establishing a fusion algorithm model in an area server, the multi-source heterogeneous data collected by the edge computing nodes are analyzed, processed, associated and fused, the risk identification module carries out risk identification and risk type determination on the fused multi-source heterogeneous data, and the risk positioning module constructs a park three-dimensional model and positions the determined risk, so that key data can be preferentially processed, the system response efficiency is improved, and the risk identification and risk type determination accuracy is improved. Deep hidden danger excavation and accurate judgment of risk types are achieved, managers are helped to quickly master the risk diffusion trend, scientific and effective countermeasures are generated, and the emergency disposal efficiency is improved.

This application relates to the field of smart park management technology, and discloses a method for automatic triggering and closed-loop management of park tasks based on key semantic mining. It collects, cleans, and sorts park meeting audio and business text in real time to form a key data stream. Key semantics are extracted through lexical and syntactic analysis and converted into business feature tags through feature mapping. These tags are input into a pre-set task model for rule collision and constraint calculation to generate execution tasks. After trigger addressing and packetization, task distribution instructions are generated and delivered to vertical domain digital human agents via a collaborative distribution network to complete multi-agent collaborative execution and produce execution data. This solves the technical problem of lagging business perception and disconnected task execution in traditional park management.

The application discloses an integrated management and control system and method for a smart industrial park based on the Internet of Things, and relates to the technical field of park management and control, which comprises the following steps: collecting park event data, equipment operation data and management and control resource state data, generating event trigger states and management and control resource available states; generating an event influence window according to the event trigger states and the equipment operation data; generating an event resource matching result and an event disposal path based on the event influence window and the management and control resource available states; generating an event disposal instruction according to the event disposal path, collecting corresponding event disposal feedback of the event disposal instruction, rewriting the event influence window and the management and control resource available states according to the event disposal feedback, and generating an integrated management and control result for the park; and the application improves the adaptation degree among event disposal, resource linkage and feedback rewriting under the condition that multiple types of events in the park continuously and concurrently trigger and management and control resources are scattered and occupied.

The application provides a safety management and control method and system applied to an emergency material storage park, relates to the technical field of emergency material storage management, and first constructs a safety state link based on multi-source monitoring information, containing material storage nodes, environment nodes and activity nodes and forming a net structure through associated edges; then traces the evolution process, records the state information of each node and associated edge changing with time to generate link evolution data; then adapts the control action set corresponding to the node state based on the link evolution data; then sends the control action set to the park management and control system driving execution device for execution, and collects feedback data after execution; finally, the evolution trend of the safety state link is calibrated according to the feedback data, so that the safety management and control level of the emergency material storage park can be comprehensively improved.

1. The name of the design product: inspection robot. 2. The use of the design product: as a modern intelligent park management inspection management tool in security, environmental monitoring, equipment maintenance and other aspects. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention relates to the field of park management technology, specifically to a park intelligent management system and method based on optoelectronic 3D imaging digital twins. The system includes: a generation module that uses optoelectronic 3D sensing technology to generate a complete 3D point cloud model of the park, the 3D point cloud model including a digital twin; a real-time sensing module that senses real-time park information, the real-time park information including multimodal data; and a control module that controls the actions of the digital twin based on the real-time park information. Based on optoelectronic information technology, high-precision 3D sensing of the park at the centimeter or even sub-millimeter level can be achieved, providing solid data support for refined management. Through continuous point cloud data acquisition and automatic reconstruction mechanisms, the system ensures real-time synchronization between the digital twin model and the physical world. Managers can directly query 3D spatial information, understand scene status, and issue spatial operation commands through natural language, without requiring specialized 3D software operation skills.

The application belongs to the technical field of lighting facilities, and relates to a controllable lighting street lamp for park management. The application comprises a lamp pole, a fixing block and a pressing plate. The fixing block is installed at the top of the lamp pole, the lower end of the fixing block is provided with a lampshade, and a lighting assembly is installed in the fixing block. A transparent plate is installed at the outer side of the lampshade, a moth lamp is arranged between the lampshade and the transparent plate, and the pressing plate is movably sleeved on the fixing block. A scraping rod is slidably arranged at the outer side of the transparent plate. A driving assembly for driving the scraping rod to move is arranged on the fixing block. An opening is formed in the pressing plate. The scraping rod supports the pressing plate, so that a moth space is formed between the pressing plate and the transparent plate. The scraping rod is rotated to kill flying insects, and the transparent plate is cleaned to ensure the light transmission of the transparent plate and the moth attracting efficiency of the moth lamp. The scraping rod pushes the pressing plate to rotate, and the connecting seat is rotated, so that the cleaning plate wipes and cleans the light transmission plate, which is beneficial to ensuring the lighting effect.

The invention discloses a park environmental protection supervision method and system based on multi-data adaptive processing, relates to the technical field of environmental protection, and solves the problems that when an existing park environmental protection supervision method is applied to a large comprehensive park, the pollution condition in the park is difficult to find in time due to various pollutant data types and large data volume, and the environmental protection efficiency is improved. And thus, the park management efficiency is reduced. Comprising the steps of obtaining input information of each enterprise in a to-be-supervised park; dividing the supervision area based on the input information to obtain a plurality of supervision sub-areas; generating a plurality of analysis priorities of the supervision sub-regions based on the input information of each enterprise in each supervision sub-region; sequentially acquiring monitoring data based on the analysis priorities, and analyzing based on the monitoring data to obtain monitoring data analysis results of the supervision sub-regions; performing early warning based on a monitoring data analysis result; the pollution condition of each supervision sub-region can be analyzed in time, early warning is carried out in time, and the park management efficiency is improved.

The invention relates to the technical field of smart park management, and discloses a park intelligent system-oriented multi-protocol device access configuration method and system, and the method comprises the steps: obtaining an original communication message sequence corresponding to a device to be accessed to a park system; obtaining a time difference between adjacent messages; calculating the load Shannon entropy of the original communication message sequence; generating a dynamic fingerprint vector of the equipment; calculating the similarity with prototype fingerprint vectors of a plurality of preset protocols; when the maximum similarity is higher than a preset threshold value, initializing a first parser instance according to a corresponding protocol; analyzing the original communication message sequence to obtain standardized semantic data; defining a role of the device relative to the park system; and generating a configuration strategy, and configuring equipment for the park system. According to the method, the dynamic fingerprint vector is constructed, so that high-precision automatic identification of an unknown equipment communication protocol is realized, and equipment role definition and automatic generation of a system configuration strategy are completed on the basis.

This invention discloses a machine learning-based method and system for investment promotion recommendation in smart industrial parks, relating to the field of smart industrial park management technology. The method includes: collecting multi-source heterogeneous data from enterprises and park infrastructure within the smart park, extracting and embedding features to construct an enterprise feature matrix and a park resource feature matrix; constructing a multi-task prediction model using machine learning algorithms based on the enterprise feature matrix and park resource feature matrix; constructing an investment promotion recommendation evaluation function and introducing an improved slime mold optimization algorithm to optimize the weight vector, resulting in an optimized investment promotion recommendation evaluation function; and generating investment promotion recommendation results using the multi-task prediction model and the optimized investment promotion recommendation evaluation function based on the enterprise feature matrix and park resource feature matrix. This invention effectively solves the problems of low accuracy in virtual-real fusion, lack of adaptability in teaching models, single interaction methods, and single evaluation dimensions by deeply mining data features and adaptively optimizing evaluation weights.

The application discloses a park management method, a management system, computer equipment and a storage medium, wherein the management method applied to a user end of an embodiment comprises the following steps: in response to a first operation of a user, a first reading data request is sent to a service end, so that the service end loads a pre-set park three-dimensional model according to the first reading data request, generates a preset perspective media stream according to received sensor data, and returns a pull stream address of the media stream; in response to a second operation of the user, the media stream is pulled from the service end according to the pull stream address and played, and the user end is applied to each application system. The park management method provided by the application can realize the management and control of an online three-dimensional virtual park, so that a user can check a current state of the park and manage park equipment without going out, and the park management efficiency is improved; meanwhile, the park management method can be applied to various application systems through cross-platform technology, and the user end cost of the park management is effectively reduced.

The utility model relates to the technical field of noise detection, in particular to a real-time noise detection device based on a smart park, which comprises an electric telescopic rod, an auxiliary device and a noise sensor, a groove is arranged at the upper end of the electric telescopic rod, a first motor is arranged in the groove, a rotating rod is arranged on the upper side wall of the groove, and a second motor is arranged in the rotating rod. The auxiliary device comprises an auxiliary box, an auxiliary rod, a sliding block and a second motor, a cavity without an upper side wall is formed in the auxiliary box, the auxiliary rod penetrates through the side wall of the auxiliary box and is connected with the output end of the second motor, a supporting frame is arranged at the upper end of the sliding block, and control rods are arranged at the two ends of the lower side wall of the supporting frame. Wherein a camera is arranged at the lower end of one control rod, the noise sensor is arranged at the lower end of the other control rod, environmental noise can be detected in real time, data are transmitted to a display screen or a park management center, powerful support is provided for timely treatment of noise pollution, and improvement of the overall level of park environment management is facilitated.

This invention provides a method and system for collaborative processing of multimodal park data based on dynamic weight fusion, belonging to the field of data processing technology. The method includes: obtaining J frequent risk type labels by frequently mining accident types from a historical risk event set of the park; establishing a park perception feature group by adaptive semantic parsing of the park's multimodal perception dataset; performing dynamic weight parsing to obtain dynamic weight configurations for each feature; performing dynamic fusion of risk contributions to obtain J risk contribution perception fusion matrices; performing multi-scale perturbation learning risk tracing to obtain a park risk tracing map; and performing multi-dimensional tracing drift parsing and correction to obtain an optimized risk tracing map. This invention solves the technical problem of traditional park management, which relies mainly on post-event handling and lacks proactive prediction capabilities based on multimodal data, leading to low efficiency in risk event response.

This invention relates to the field of park management technology, specifically a smart park management platform based on park informatization. This platform integrates advanced technologies such as the Internet of Things, cloud computing, and big data to achieve informatization and intelligentization of various management tasks within the park. Specifically, it includes functions for park infrastructure management, energy management, security management, property management, and investment promotion management. By monitoring and analyzing energy usage within the park in real time, and combining big data and artificial intelligence technologies, it can propose reasonable energy allocation suggestions to achieve energy conservation and emission reduction goals, reduce park operating costs, and respond more quickly and accurately to the needs of users within the park through various management and service applications provided by the platform, such as park infrastructure management and property management, thereby improving service quality.

The invention discloses a park multi-mode event perception and adaptive linkage processing system, and belongs to the technical field of smart park management and Internet of Things application, and the system comprises a multi-mode perception module which is used for collecting video streams, audio streams, environment sensor data and Internet of Things equipment alarm signals in a park in real time; the feature extraction and fusion module comprises a multi-modal attention network and is used for performing feature extraction on the data acquired by the multi-modal sensing module and calculating the attention weight of each modal so as to perform weighted fusion and generate a fusion feature vector; the event identification and confidence evaluation module is used for identifying an event type according to the fusion feature vector and outputting a confidence score of the event; and the self-adaptive linkage control engine is preset with linkage workflows corresponding to different confidence threshold values. According to the method, the problems of data island, high false alarm rate, linkage stiffness and response lag can be solved, and intelligent and automatic processing of the whole process of sensing, decision making and execution of the park events is realized.

1. The name of the design product: park management and control graphical user interface for electronic equipment. 2. The use of the design product: for human-computer interaction and display. 3. The design points of the design product: the graphical user interface content and layout in the screen. 4. The picture or photo that best indicates the design points: design 1 front view. 5. No design points, omit other views. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: for information sharing, collaborative production and resource optimization configuration operation and management among enterprises in the park. 8. The human-computer interaction mode of the graphical user interface: the main view of design 1 is a login interface; design 1 interface change state diagram 1 is the interface after clicking “intelligent safety” in the main view of design 1; design 1 interface change state diagram 2 is the interface after clicking “double prevention mechanism” in design 1 interface change state diagram 1; design 1 interface change state diagram 3 is the interface after clicking “two key points and one major point” in design 1 interface change state diagram 2; design 1 interface change state diagram 4 is the interface after clicking “special operation” in design 1 interface change state diagram 3; the main view of design 2 is a login interface; design 2 interface change state diagram 1 is the interface after clicking “intelligent environmental protection” in the main view of design 2; design 2 interface change state diagram 2 is the interface after clicking “atmospheric environment” in design 2 interface change state diagram 1; design 2 interface change state diagram 3 is the interface after clicking “waste gas” in design 2 interface change state diagram 2; design 2 interface change state diagram 4 is the interface after clicking “waste water” in design 2 interface change state diagram 3; design 2 interface change state diagram 5 is the interface after clicking “solid waste management” in design 2 interface change state diagram 4; design 2 interface change state diagram 6 is the interface after clicking “water environment” in design 2 interface change state diagram 5; design 2 interface change state diagram 7 is the interface after clicking “toxic and harmful” in design 2 interface change state diagram 6; design 2 interface change state diagram 8 is the interface after clicking “noise environment” in design 2 interface change state diagram 7; the main view of design 3 is a login interface; design 3 interface change state diagram 1 is the interface after clicking “intelligent pipe network” in the main view of design 3; the main view of design 4 is a login interface; design 4 interface change state diagram 1 is the interface after clicking “intelligent closure” in the main view of design 4; design 4 interface change state diagram 2 is the interface after clicking “personnel positioning” in design 4 interface change state diagram 1; design 4 interface change state diagram 3 is the interface after clicking “hazardous chemical vehicle positioning” in design 4 interface change state diagram 2; design 4 interface change state diagram 4 is the interface after clicking “hazardous chemical parking lot” in design 4 interface change state diagram 3; the main view of design 5 is a login interface; design 5 interface change state diagram 1 is the interface after clicking “hazardous waste enterprise” in the main view of design 5; the main view of design 6 is a login interface; design 6 interface change state diagram 1 is the interface after clicking “attracting talents” in the main view of design 6; the main view of design 7 is a login interface; design 7 interface change state diagram 1 is the interface after clicking “green and low carbon” in the main view of design 7; design 7 interface change state diagram 2 is the interface after clicking “energy saving and water saving” in design 7 change state diagram 1.

The present application relates to the technical field of intelligent internet of things platform, specifically to a kind of for internet of things and intelligent algorithm wisdom park management platform, system includes: terminal state perception module, response path combination module, control passage sequencing module, communication window adjustment module, distribution execution control module.In the present application, by extracting the device response record with associated number, the control set with parallel relationship in the dispatching period is constructed, the consistency of signal emission and target response sequence in instruction track is combined, the control chain structure with trigger relationship is connected, the path is divided according to control source, number sequence and target type, the channel grouping is carried out by matching starting time sequence and response interval characteristics, the coordination relationship between multiple chains is enhanced, the hierarchical structure of path organization is strengthened, and the coherent operation ability of control process in multiple device scheduling scene, instruction passing efficiency and communication execution distribution control ability are improved.

The invention discloses a park operation data optimization method based on a large language model, and belongs to the technical field of artificial intelligence and smart park management, and the method comprises the following steps: S100, collecting park operation data, and carrying out cleaning and alignment to construct a unified data pool; step S200, based on a hybrid enhancement strategy of retrieval enhancement generation and supervised fine tuning, utilizing the domain knowledge of the park to enhance the general large language model to obtain a park knowledge enhanced large language model; step S300, inputting the data of the unified data pool into the park knowledge enhancement large language model, and executing a data optimization task; and step S400, outputting an optimization result through a standardized interface or an automatic workflow, and integrating the optimization result to an operation management system of the park. According to the method, the park knowledge enhancement large language model is constructed, and based on the semantic understanding and reasoning capability of the model, the problem that a traditional rule method cannot recognize complex services and logic anomalies is solved.

The application belongs to the technical field of barrier gate, and particularly discloses a toll barrier gate based on intelligent park management, which comprises a mounting plate, the top surface of the mounting plate is fixed with sliding rails and a sliding shell, the sliding rails are distributed at the back of the sliding shell, a driving trolley is installed on the sliding rails, the driving trolley is fixed with a sliding table, the sliding table is slidably connected with the sliding shell, and the top surface of the sliding table is fixed with a second supporting shell and a first supporting shell. The driving trolley in the toll barrier gate can drive the sliding table to be distributed on the sliding shell and the sliding rails, when more pedestrians need to pass through the barrier gate to enter the interior of the park and no vehicle needs to pass through the barrier gate, the driving trolley can drive the sliding table to move to the left side, which can widen the channel for pedestrians to pass through, thereby increasing the passing efficiency of the barrier gate for pedestrians, avoiding the accumulation of more pedestrians at the entrance of the barrier gate, and avoiding the impact of the subsequent passing vehicles on the pedestrians.

The invention relates to a smart park management and control method based on a block chain, and the method comprises the following steps: constructing a project front-end interface based on a Vue framework, drawing a front-end data display chart through employing Echarts, and carrying out the interaction with a project rear end through employing Axios; constructing a project back end based on Spring Boot, respectively constructing a display layer, a business logic layer and a data access layer of the project by adopting a hierarchical design framework, and performing data persistence by using a MySQL database; according to the method, a project block chain structure is constructed based on Hyperledger Fabric, SHA256 Hash calculation is performed on project data, a data hyperkey and a calculated Hash value are stored in an account book in the form of a key-value pair, and when a user accesses specific project data, data verification is performed on each node linked with a block chain, so that the data security is improved.

The invention relates to the technical field of smart park management and computer intelligent scheduling, in particular to a smart park device data collaborative intelligent scheduling method and system based on artificial intelligence, and the method comprises the steps: pre-configuring an encoder, a decoder, node transmission bandwidth resistance parameters and a vector database; obtaining target physical space dimension information and heterogeneous node static capability parameters, dividing a target physical space into space calculation voxels and generating a low-cost topological resistance matrix; the method comprises the following steps: acquiring real-time multi-dimensional operation state data, fusing and reducing dimensions to obtain a comprehensive potential energy value, generating a virtual flow field streamline diagram through Laplace smoothing and three-dimensional gradient resolving, reversely analyzing the virtual flow field streamline diagram into a node control instruction, executing data processing task migration scheduling and environment control parameter adjustment, and storing the streamline diagram into a vector database to serve as a next calculation baseline. Therefore, synchronous cooperative scheduling of the information processing nodes and the physical environment control nodes in the park is realized.