An industrial park intelligent operation management method and system

Abstract

The application discloses an industrial park intelligent operation management method and system, and belongs to the technical field of intelligent park informatization management. The system comprises a park user service subsystem, an environment monitoring subsystem, an intelligent traffic subsystem, an intelligent video analysis subsystem, a data processing platform and a database; the data processing platform is connected with the park user service subsystem, the environment monitoring subsystem, the intelligent traffic subsystem and the intelligent video analysis subsystem respectively; and the database is connected with the park user service subsystem, the environment monitoring subsystem, the intelligent traffic subsystem, the intelligent video analysis subsystem and the data processing platform. The application creates an open and safe park safety operation platform, improves the digitalization, automation and intelligence level of park operation management, realizes informatization processing, builds an efficient, fast, convenient and cultural intelligent park, and meets the informatization needs of various management requirements in the park, park users and visitors.

Description

Technical Field

[0001] This invention relates to the field of smart park information management technology, specifically to a method and system for intelligent operation and management of industrial parks. Background Technology

[0002] With the acceleration of urbanization and the prominence of industrial agglomeration effects, industrial parks have become an important vehicle for promoting regional economic development. Traditional industrial park management models mainly rely on manual inspections, paper registrations, and decentralized information systems, resulting in problems such as low management efficiency, severe data silos, slow response times, and untimely detection of security risks.

[0003] In existing technologies, some industrial parks have introduced information management systems, but most of them are single-function, focusing only on one aspect of management. For example, some systems focus on enterprise entry approval and supply chain analysis, using saturation assessment and blockchain decision-making channels to screen enterprises; others focus on matching enterprise distribution with operational positioning, optimizing the configuration of public technical equipment by constructing mapping equations. However, these existing solutions have the following shortcomings:

[0004] First, existing systems lack comprehensive situational awareness capabilities for the safe operation of the park. Existing technologies primarily focus on enterprise economic benefits and industrial layout optimization, failing to organically integrate environmental monitoring, traffic management, video analytics, and personnel services, thus hindering the formation of real-time assessments and early warnings of the overall safety status of the park.

[0005] Second, the existing system lacks a collaborative mechanism across subsystems. Each subsystem operates independently, and data is not interconnected. When a security incident occurs in a certain area, it is impossible to achieve automatic linkage response of environmental control, traffic management, video tracking, and user notification, resulting in low efficiency in emergency response.

[0006] Third, the existing system does not fully consider the differentiated service needs of the diverse stakeholders in the park. The existing solution mainly serves the park management and corporate decision-makers, and provides insufficient support for information services for park employees, visitors, and other groups.

[0007] Fourth, existing systems lack deep integration of intelligent video analysis and identity verification. Current technologies do not compare video analysis results with personnel identity databases in real time, making it impossible to effectively identify unauthorized intrusions or correlate video anomalies with traffic records, resulting in blind spots in security management.

[0008] Therefore, there is an urgent need for an intelligent operation and management method and system for industrial parks that can integrate multi-source data, achieve security situation awareness, support cross-system linkage response, and meet the needs of diverse users. Summary of the Invention

[0009] To overcome the problems in the existing technology, the present invention provides an intelligent operation and management method and system for industrial parks. By constructing a four-in-one safety operation and management system integrating people, vehicles, environment and video, the system realizes the digitalization, automation and intelligence of park operation and management, while meeting the multi-level information needs of resident enterprises, park employees and visitors, and creating an efficient, fast and convenient smart park safety operation platform.

[0010] The technical solution of this invention is as follows:

[0011] In a first aspect, the present invention provides a method for intelligent operation and management of industrial parks, comprising:

[0012] Step S1: Obtain the park user identity information, service request data, and permission data collected by the park user service subsystem;

[0013] Step S2: Obtain the park environmental parameter data collected by the environmental monitoring subsystem;

[0014] Step S3: Obtain vehicle traffic data, parking space status data, and traffic flow data collected by the intelligent transportation subsystem;

[0015] Step S4: Obtain the park video image data collected by the intelligent video analysis subsystem, and perform real-time intelligent analysis on the park video image data to obtain the data analysis results;

[0016] Step S5: The data obtained in steps S1 to S4 are fused and processed to construct a multi-dimensional operational status dataset of the park.

[0017] Step S6: Based on the multi-dimensional operation status dataset of the park, execute the security situation assessment algorithm, and generate a comprehensive security situation value of the park by comprehensively considering the environmental safety index, traffic safety index, personnel safety index and video anomaly index.

[0018] Step S7: Determine whether the overall security status value of the park exceeds the preset security threshold.

[0019] If so, a linkage control command is generated, which is used to issue control commands to the environmental monitoring subsystem, intelligent transportation subsystem, and intelligent video analysis subsystem respectively, so as to realize the coordinated linkage response across subsystems.

[0020] As a preferred embodiment of the present invention, step S7 further includes:

[0021] If so, a control command is issued to the park user service subsystem, which is used to push security warning information and emergency guidance information to relevant users.

[0022] As a preferred embodiment of the present invention, in step S4, the park video image data collected by the intelligent video analysis subsystem is acquired, and the park video image data is subjected to real-time intelligent analysis to obtain data analysis results, specifically including:

[0023] Acquire real-time video streams, which come from video capture devices deployed at park entrances and exits, public areas, and around key facilities;

[0024] Target detection and recognition are performed on the real-time video stream to extract features of personnel, vehicles, and abnormal behavior.

[0025] Spatiotemporal correlation analysis is performed on the characteristics of the personnel targets, the characteristics of the vehicle targets, and the characteristics of abnormal behavior to identify personnel gathering behavior, illegal intrusion behavior, vehicle illegal parking behavior, and abnormal loitering behavior;

[0026] The analysis results are compared and verified with the user identity data in the park user service subsystem to generate video anomaly event records.

[0027] As a preferred embodiment of the present invention, the step of comparing and verifying the analysis results with the user identity data in the park user service subsystem specifically includes:

[0028] When a target person is identified, facial or body features are extracted and matched with the authorized personnel feature database pre-stored in the park user service subsystem.

[0029] If a match fails, the user is marked as an unauthorized person, and an anomaly warning is triggered by the intelligent video analysis subsystem.

[0030] At the same time, the location and timestamp of the unauthorized personnel are associated with the passage records of that time period in the intelligent transportation subsystem to determine whether there is tailgating or misuse of documents.

[0031] As a preferred embodiment of the present invention, in step S6, the comprehensive environmental safety index, traffic safety index, personnel safety index, and video anomaly index are used to generate a comprehensive security situation value for the park. The specific calculation formula is as follows:

[0032] S = α·E + β·T + γ·P + δ·V;

[0033] Where S is the overall security situation value of the park, E is the environmental security index, T is the traffic safety index, P is the personnel safety index, V is the video anomaly index, and α, β, γ, and δ are weighting coefficients, and α+β+γ+δ=1.

[0034] The environmental safety index is calculated based on air quality data, temperature and humidity data, noise data, and fire protection facility status data collected by the environmental monitoring subsystem.

[0035] The traffic safety index is calculated based on the vehicle traffic density, parking space saturation, road congestion coefficient, and number of illegally parked vehicles collected by the intelligent transportation subsystem.

[0036] The personnel safety index is calculated based on the personnel density, visitor-to-employee ratio, and number of emergency assistance requests within the park, as statistically analyzed by the park user service subsystem.

[0037] The video anomaly index V is calculated based on the number of abnormal events identified by the intelligent video analysis subsystem, the frequency of unauthorized personnel appearances, and the number of intrusion alarms in key areas.

[0038] As a preferred embodiment of the present invention, the comprehensive security status value of the park includes an environmental security index, a traffic safety index, and a video anomaly index, and the preset security threshold includes a preset environmental threshold, a preset traffic threshold, and a preset video threshold;

[0039] In step S7, the implementation of cross-subsystem coordinated response specifically includes:

[0040] When the environmental safety index exceeds the preset environmental threshold, an equipment control command is sent to the environmental monitoring subsystem to initiate ventilation, cooling, or fire prevention measures; at the same time, environmental early warning information is pushed to the park user service subsystem, and an emergency passage pre-clearing command is sent to the intelligent transportation subsystem.

[0041] When the traffic safety index exceeds a preset traffic threshold, a traffic management instruction is issued to the intelligent transportation subsystem to adjust traffic light timings, open backup parking lots, or restrict vehicle access to specific areas; at the same time, traffic guidance information is pushed to the park user service subsystem.

[0042] When the video anomaly index exceeds a preset video threshold, a tracking and locking command is sent to the intelligent video analysis subsystem to control surrounding video devices to track the abnormal target; at the same time, a security alarm is pushed to the park user service subsystem, and the intelligent transportation subsystem is linked to lock the relevant vehicle access permissions.

[0043] As a preferred embodiment of the present invention, it further includes:

[0044] Step S8: Obtain service requests from resident enterprises, park employees, and visitors collected by the park user service subsystem, match corresponding service resources according to user identity type and permission level, and coordinate each subsystem to provide differentiated service responses.

[0045] As a preferred embodiment of the present invention, in step S8, matching the corresponding service resources according to the user identity type and permission level specifically includes:

[0046] The user identity types are divided into four categories: resident enterprise users, park employee users, external visitor users, and system administrator users.

[0047] The platform provides the participating companies with services such as company resource reservation, energy consumption data query, policy information push and industry collaboration matchmaking.

[0048] Provides attendance management, workstation navigation, meeting room reservation, catering services, and commuter shuttle services for employees in the park;

[0049] Provide the aforementioned external visitors with online appointment registration, park navigation, temporary parking guidance, location of visited companies, and visitor trajectory recording services;

[0050] Provides system administrators with services including monitoring of the entire park's operational status, configuring parameters for each subsystem, handling emergency incidents, and providing operational data reports.

[0051] Secondly, the present invention provides an intelligent operation and management system for industrial parks, which is used to execute the intelligent operation and management method for industrial parks according to any of the above-mentioned schemes. The system includes: a park user service subsystem, an environmental monitoring subsystem, a smart transportation subsystem, a smart video analysis subsystem, a data processing platform, and a database. The data processing platform is connected to the park user service subsystem, the environmental monitoring subsystem, the smart transportation subsystem, and the smart video analysis subsystem, respectively. The database is connected to the park user service subsystem, the environmental monitoring subsystem, the smart transportation subsystem, the smart video analysis subsystem, and the data processing platform, respectively.

[0052] As a preferred embodiment of the present invention, the park user service subsystem is used to collect park user identity information, service request data and permission data, and provide differentiated service responses to users;

[0053] The environmental monitoring subsystem is used to collect environmental parameter data of the park and execute environmental control commands;

[0054] The intelligent transportation subsystem is used to collect vehicle traffic data, parking space status data, and traffic flow data in the park, and to execute traffic control commands.

[0055] The intelligent video analysis subsystem is used to collect video image data of the park and perform real-time intelligent analysis to identify abnormal behavior and unauthorized personnel.

[0056] The data processing platform is used to perform fusion processing, security situation assessment, and linkage control decisions on the data collected by each subsystem in the database.

[0057] The database is used to store data, user data, configuration parameters, and historical operation records collected by the park user service subsystem, the environmental monitoring subsystem, the intelligent transportation subsystem, and the intelligent video analysis subsystem.

[0058] According to the above-described solution, the beneficial effects of this invention are as follows:

[0059] This invention constructs a four-in-one safety operation management system integrating people, vehicles, environment, and video. Through the fusion processing and intelligent analysis of multi-source data, it achieves real-time perception and quantitative assessment of the overall safety situation of the park, solving the problem that existing technologies only focus on a single dimension and lack overall safety situation perception. At the same time, it establishes a cross-subsystem collaborative linkage mechanism. When the safety situation value exceeds the threshold, the data processing platform can automatically generate linkage control commands, realizing automatic collaborative response of environmental monitoring, traffic control, video tracking, and user notification, significantly improving emergency response efficiency and overcoming the shortcomings of existing technologies where each subsystem operates independently and data is not interconnected. Attached Figure Description

[0060] Figure 1 This is a flowchart illustrating an intelligent operation and management method for industrial parks according to one embodiment of the present invention;

[0061] Figure 2 for Figure 1 A schematic diagram illustrating the specific process of real-time intelligent analysis performed by the intelligent video analysis subsystem in step S4.

[0062] Figure 3 for Figure 1 A schematic diagram illustrating the specific process of matching corresponding service resources based on user identity type and permission level in step S8;

[0063] Figure 4 This is a schematic diagram of the structure of an intelligent operation and management system for industrial parks according to one embodiment of the present invention;

[0064] Figure 5 This is a schematic diagram of the structure of a smart video analysis subsystem in one embodiment of the present invention;

[0065] Figure 6 This is a schematic diagram of the structure of a data processing platform in one embodiment of the present invention;

[0066] Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0067] To make the technical problems to be solved, the technical solutions, and the beneficial effects of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] It should be noted that the terms "comprising" and "having," and any variations thereof, in the specification and claims of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0069] like Figure 1 As shown, one embodiment of the present invention provides a method for intelligent operation and management of industrial parks, including:

[0070] Step S1: Collect park user data: Obtain the park user identity information, service request data and permission data collected by the park user service subsystem.

[0071] Specifically, user identity information includes business license information for enterprise users, employee ID and department information for employee users, and ID card information and appointment information for visitor users. Service request data includes resource appointment requests, information query requests, navigation guidance requests, and emergency assistance requests. Permission data is divided according to user identity type, with different identity types corresponding to different service permissions and data access permissions.

[0072] Step S2: Park Environmental Data Acquisition: Obtain park environmental parameter data collected by the environmental monitoring subsystem.

[0073] Specifically, the park's environmental parameter data includes air quality data (including PM2.5, PM10, CO2 concentrations, etc.), real-time temperature and relative humidity data, environmental noise decibel values, and fire protection facility status data (including fire hydrant water pressure, fire extinguisher pressure, and smoke detector status).

[0074] Step S3: Park traffic data collection: Obtain the park vehicle traffic data, parking space status data and traffic flow data collected by the intelligent transportation subsystem, and store them in the database.

[0075] Step S4: Acquisition of Park Video Data: Obtain the park video image data collected by the intelligent video analysis subsystem, perform real-time intelligent analysis, and store the data and analysis results in the database.

[0076] Specifically, such as Figure 2 As shown, the operation steps for real-time intelligent analysis by the intelligent video analytics subsystem are as follows:

[0077] Step S41: Acquire real-time video streams. The real-time video streams come from video capture devices deployed at park entrances and exits, public areas, and around key facilities.

[0078] Step S42: Use deep learning target detection algorithms (such as YOLO series or SSD algorithm) to perform target detection and recognition on real-time video stream, and extract personnel target features, vehicle target features and abnormal behavior features;

[0079] Step S43: Perform spatiotemporal correlation analysis on the characteristics of personnel targets, vehicle targets, and abnormal behavior characteristics. By analyzing the movement trajectory, dwell time, and aggregation density of the targets, identify personnel gathering behavior (such as the number of people in a unit area exceeding the threshold and the duration exceeding the set time), illegal intrusion behavior (such as unauthorized personnel entering restricted areas), vehicle illegal parking behavior (such as vehicles being parked in non-parking areas for more than the set time), and abnormal loitering behavior (such as personnel loitering back and forth in sensitive areas more than the set number of times).

[0080] Step S44: Compare and verify the analysis results with the user identity data in the park user service subsystem. When the analysis identifies a target person, extract the person's facial or body features and match them with the pre-stored authorized personnel feature database in the park user service subsystem. If the similarity is lower than the set threshold, resulting in a matching failure, the person is marked as an unauthorized person, and an abnormal warning is triggered by the intelligent video analysis subsystem. At the same time, the location and timestamp of the unauthorized person are associated with the passage records of that time period in the intelligent transportation subsystem to determine whether there is tailgating or document misuse, and video abnormal event records are generated and stored in the database.

[0081] Step S5: Data fusion processing: The data obtained in steps S1 to S4 are fused and processed to construct a multi-dimensional operational status dataset for the park.

[0082] Specifically, the data fusion processing operations include: performing spatiotemporal alignment operations (aligning data records from various data sources based on a unified timestamp), format standardization operations (converting data formats from different subsystems into a unified data model), and correlation fusion operations (establishing correlations between personnel identity data and video analysis data, vehicle passage data and traffic flow data, and park environmental parameter data and geographical location data) to construct a multi-dimensional operational status dataset for the park.

[0083] Step S6, Security Situation Awareness: Based on the multi-dimensional operational status dataset of the park, the data processing platform executes a security situation assessment algorithm, which integrates the environmental security index, traffic safety index, personnel safety index, and video anomaly index to generate a comprehensive security situation value for the park.

[0084] Specifically, the calculation formula is: S=α·E+β·T+γ·P+δ·V, where α, β, γ, and δ are weighting coefficients, configured according to the actual management needs of the park, with a default value of 0.25, and satisfying α+β+γ+δ=1. The environmental safety index E is calculated based on air quality data (such as PM2.5 exceedance multiples), temperature and humidity data (such as the degree of temperature deviation from the comfortable range), noise data (such as noise exceeding decibel levels), and fire-fighting facility status data (such as the number of equipment malfunctions) collected by the environmental monitoring subsystem. A higher value indicates a worse environmental safety situation. The traffic safety index T is calculated based on vehicle traffic density (number of vehicles per unit road segment), parking space saturation (proportion of occupied parking spaces to total parking spaces), road congestion coefficient (ratio of actual travel time to smooth travel time), and the number of illegally parked vehicles collected by the intelligent transportation subsystem. The personnel safety index P is calculated based on personnel density (number of people per unit area), visitor-to-employee ratio (ratio of visitors to employees), and the number of emergency assistance requests collected by the park user service subsystem. The video anomaly index V is calculated based on the number of abnormal events identified by the intelligent video analysis subsystem, the frequency of unauthorized personnel appearances, and the number of intrusion alarms in key areas.

[0085] Step S7, Intelligent Decision-Making and Linkage Control: Determine whether the overall safety status value of the park exceeds the preset safety threshold. If so, generate a linkage control command. The linkage control command is used to issue control instructions to the environmental monitoring subsystem, intelligent transportation subsystem, and intelligent video analysis subsystem respectively to achieve cross-subsystem collaborative linkage response. At the same time, issue a control command to the park user service subsystem. This control command is used by the park user service subsystem to push safety warning information and emergency guidance information to relevant users.

[0086] Specifically, when the environmental safety index exceeds a preset environmental threshold, the system sends equipment control instructions to the environmental monitoring subsystem to activate ventilation equipment to improve air quality, activate air conditioning equipment to adjust temperature, or activate fire preparedness measures. Simultaneously, it pushes environmental warning information (such as "The air quality in this area is poor; it is recommended to wear a mask") to the park user service subsystem and sends an emergency lane pre-clearing instruction to the intelligent transportation subsystem to ensure unobstructed emergency lanes. When the traffic safety index exceeds a preset traffic threshold, the system sends traffic guidance instructions to the intelligent transportation subsystem to adjust traffic light timings, open backup parking lots, or restrict vehicle access to specific areas. Simultaneously, it pushes traffic guidance information (such as "Parking in Area A is full; please proceed to Area B") to the park user service subsystem. When the video anomaly index exceeds a preset video threshold, the system sends a tracking and locking instruction to the intelligent video analysis subsystem to control surrounding video equipment to track abnormal targets. Simultaneously, it pushes security alarm information (such as "Unauthorized personnel detected; security personnel requested to handle the situation") to the park user service subsystem and coordinates with the intelligent transportation subsystem to lock the access permissions of relevant vehicles (such as closing the gate to prevent vehicles from leaving).

[0087] Step S8, User Request Response: Obtain service requests from resident enterprises, park employees, and visitors collected by the park user service subsystem, match corresponding service resources according to user identity type and permission level, and coordinate with each subsystem to provide differentiated service responses.

[0088] Specifically, such as Figure 3 As shown, matching appropriate service resources based on user identity type and permission level includes the following steps:

[0089] Step S81: Divide user identity types into four categories: registered enterprise users, park employee users, external visitor users, and system administrator users. Among them, the permission levels of registered enterprise users include ordinary enterprise users and VIP enterprise users; the permission levels of park employee users include ordinary employees and department administrators; the permission levels of external visitor users include scheduled visitors and temporary visitors; and the permission levels of system administrator users include ordinary administrators and senior administrators.

[0090] Step S82: Provide resident enterprise users with enterprise resource reservation (meeting room, exhibition hall, event venue), energy consumption data query (water, electricity, gas consumption and cost), policy information push (tax incentives, industry support policies) and industry collaboration matchmaking (upstream and downstream enterprise recommendations, technology cooperation matching).

[0091] Step S83: Provide park employees with attendance management (clock-in records, leave approval), workstation navigation (office area map, workstation location query), meeting room reservation (available meeting room query, online reservation), catering consumption (cafeteria menu, online ordering, consumption records), and commuter shuttle bus (route query, real-time location, seat reservation);

[0092] Step S84: Provide visiting users with online appointment registration (pre-registration of visitor information, visit time, and license plate number), park navigation (route guidance from the entrance to the visited company), temporary parking guidance (recommendation of available parking spaces and parking location records), location of the visited company (navigation of company floor and room number), and visitor trajectory records (visit path and stay duration).

[0093] Step S85: Provide system administrators with full-park operation status monitoring (real-time data dashboards for each subsystem), parameter configuration for each subsystem (threshold settings, weight adjustments, equipment parameters), emergency event handling (event reception, handling process tracking, handling result recording), and operation data reports (automatic generation and export of daily, weekly, and monthly reports).

[0094] The intelligent operation and management method for industrial parks in this embodiment constructs a four-in-one safety operation and management system integrating people, vehicles, environment, and video. Through the fusion processing and intelligent analysis of multi-source data, it achieves real-time perception and quantitative assessment of the overall security situation of the park, solving the problem that existing technologies only focus on a single dimension and lack overall security situation perception. It establishes a cross-subsystem collaborative linkage mechanism. When the security situation value exceeds the threshold, the data processing platform can automatically generate linkage control commands to achieve automatic collaborative response of environmental monitoring, traffic control, video tracking, and user notification, significantly improving emergency response efficiency and overcoming the shortcomings of existing technologies where each subsystem operates independently and data is not interconnected. It fully considers the differentiated service needs of the diverse stakeholders in the park, classifying users into four categories: resident enterprises, park employees, external visitors, and system administrators, and providing targeted service resources to each category, making up for the shortcomings of existing technologies that only serve management and enterprise decision-making levels. It achieves deep integration of intelligent video analysis and identity verification. By comparing video analysis results with the user identity database in real time, it effectively identifies unauthorized personnel and correlates video anomalies with traffic records, eliminating the blind spots in the security management of existing technologies.

[0095] like Figure 4 As shown, the present invention also provides an intelligent operation and management system for industrial parks, comprising: a park user service subsystem 1, an environmental monitoring subsystem 2, an intelligent transportation subsystem 3, an intelligent video analysis subsystem 4, a data processing platform 5, and a database 6. The data processing platform 5 is connected to the park user service subsystem 1, the environmental monitoring subsystem 2, the intelligent transportation subsystem 3, and the intelligent video analysis subsystem 4, respectively, and the database 6 is connected to the park user service subsystem 1, the environmental monitoring subsystem 2, the intelligent transportation subsystem 3, the intelligent video analysis subsystem 4, and the data processing platform 5, respectively.

[0096] The Park User Service Subsystem 1 is deployed in the Park Management Service Center and on the mobile application. It is used to collect user identity information, service request data, and permission data, as well as to push security alerts and emergency guidance information to users. User identity information includes business license information for enterprise users, employee ID and department information for employee users, and ID card information and appointment information for visitor users. Service request data includes resource appointment requests, information query requests, navigation guidance requests, and emergency assistance requests. Permission data is categorized according to user identity type, with different identity types corresponding to different service permissions and data access permissions.

[0097] Environmental monitoring subsystem 2 is deployed in various buildings, public areas, and green belts within the park to collect environmental parameter data, including air quality sensors, temperature and humidity sensors, noise sensors, fire protection facility status monitors, and environmental control execution equipment. Air quality sensors collect data on PM2.5, PM10, and CO2 concentrations; temperature and humidity sensors collect real-time temperature and relative humidity data; noise sensors collect ambient noise levels in decibels; fire protection facility status monitors fire hydrant water pressure, fire extinguisher pressure, and smoke alarm status; environmental control execution equipment includes ventilation equipment, air conditioning equipment, sprinkler systems, and fire preparedness equipment. Environmental monitoring subsystem 2 also receives equipment control commands from data processing platform 5 and executes corresponding environmental control operations.

[0098] The Intelligent Transportation Subsystem 3 is deployed at park entrances and exits, parking lots, main roads, and traffic nodes to collect vehicle traffic data, parking space status data, and traffic flow data, and to execute traffic control commands. The Intelligent Transportation Subsystem 3 includes vehicle recognition cameras, magnetic parking space detectors, traffic flow counters, traffic light controllers, barrier gate control equipment, and parking guidance screens. The vehicle recognition cameras collect license plate and vehicle type information of vehicles entering and exiting the park; the magnetic parking space detectors monitor parking space occupancy status in real time; the traffic flow counters count the number of vehicles passing through each road segment and their speed; the traffic light controllers receive timing adjustment commands from the data processing platform 5; the barrier gate control equipment executes vehicle access control; and the parking guidance screens display available parking space information and guidance routes. The Intelligent Transportation Subsystem 3 also stores vehicle traffic records, including license plate number, passage time, direction of travel, and passage status.

[0099] The intelligent video analytics subsystem 4 is deployed at park entrances and exits, public areas, around key facilities, and in hidden corners. It collects video image data from the park and performs real-time intelligent analysis to identify abnormal behavior and unauthorized personnel. For example... Figure 5As shown, the intelligent video analysis subsystem 4 includes a video acquisition module 41, a target detection and recognition module 42, a spatiotemporal correlation analysis module 43, and an identity verification module 44. The video acquisition module 41 acquires real-time video streams through a high-definition network camera, supporting H.264 / H.265 encoding formats with a resolution of 1080P or higher. The target detection and recognition module 42 employs deep learning target detection algorithms (such as the YOLO series or SSD algorithms) to detect and recognize targets in the real-time video stream, extracting features of personnel, vehicles, and abnormal behavior. The spatiotemporal correlation analysis module 43 performs spatiotemporal correlation analysis on the features of personnel, vehicles, and abnormal behavior. By analyzing the target's movement trajectory, dwell time, and aggregation density, it identifies behaviors such as personnel gathering (e.g., the number of people per unit area exceeding a threshold and the duration exceeding a set time), illegal intrusion (e.g., unauthorized personnel entering restricted areas), illegal vehicle parking (e.g., vehicles parked in non-parking areas for more than a set time), and abnormal loitering (e.g., personnel loitering in sensitive areas more than a set number of times). The identity verification module 44 matches the facial or body features of the personnel identified by video analysis with the pre-stored authorized personnel feature database in the park user service subsystem 1. If the similarity is lower than the set threshold, the person is marked as an unauthorized person, and an abnormal warning is triggered in the intelligent video analysis subsystem 4. At the same time, the location and timestamp of the unauthorized person are correlated with the passage records of the same period in the intelligent transportation subsystem 3 to determine whether there is tailgating or document misuse, and video abnormal event records are generated and stored in the database 6.

[0100] Data processing platform 5 is used to integrate and process data collected from various subsystems in database 6, conduct security situation assessments, and make coordinated control decisions. For example... Figure 6 As shown, the data processing platform 5 includes a data fusion processing module 51, a security situation assessment module 52, a collaborative decision-making module 53, and a user service coordination module 54. The data fusion processing module 51 reads data collected from various subsystems from the database 6 and performs spatiotemporal alignment operations (aligning data records from different data sources based on a unified timestamp), format standardization operations (converting data formats from different subsystems into a unified data model), and correlation fusion operations (establishing correlations between personnel identity data and video analysis data, vehicle traffic data and traffic flow data, and park environmental parameter data and geographical location data) to construct a multi-dimensional operational status dataset for the park. The security situation assessment module 52 executes a security situation assessment algorithm based on this multi-dimensional operational status dataset.

[0101] The safety situation assessment algorithm comprehensively calculates the environmental safety index E, traffic safety index T, personnel safety index P, and video anomaly index V to generate the park's comprehensive safety situation value S. The calculation formula is: S=α·E+β·T+γ·P+δ·V, where α, β, γ, and δ are weighting coefficients configured according to the actual management needs of the park, with a default value of 0.25, and satisfying α+β+γ+δ=1. The environmental safety index E is calculated based on air quality data (such as the PM2.5 exceedance multiple), temperature and humidity data (such as the degree of temperature deviation from the comfortable range), noise data (such as the noise exceedance decibel value), and fire protection facility status data (such as the number of equipment failures) collected by the environmental monitoring subsystem 2. The larger the value, the worse the environmental safety situation. The traffic safety index T is calculated based on vehicle traffic density (number of vehicles per unit road segment), parking space saturation (the proportion of occupied parking spaces to total parking spaces), road congestion coefficient (the ratio of actual travel time to smooth travel time), and the number of illegally parked vehicles collected by the intelligent transportation subsystem 3. The personnel safety index P is calculated based on the personnel density (number of people per unit area), visitor-to-employee ratio (ratio of visitors to employees), and number of emergency assistance requests within the park, as compiled by the park user service subsystem 1. The video anomaly index V is calculated based on the number of abnormal events identified by the intelligent video analysis subsystem 4, the frequency of unauthorized personnel appearances, and the number of intrusion alarms in key areas.

[0102] The linkage decision module 53 compares the overall safety status value S of the park with the preset safety threshold S0. When S≤S0, the park is in a normal safety state, and each subsystem operates in normal mode. When S>S0, the linkage response mechanism is triggered: if the environmental safety index E exceeds the preset environmental threshold E0, the linkage decision module sends equipment control instructions to the environmental monitoring subsystem 2 to start ventilation equipment to improve air quality, start air conditioning equipment to adjust temperature, or start fire preparedness measures; at the same time, it pushes environmental early warning information (such as "the current air quality in the area is poor, it is recommended to wear a mask") to the park user service subsystem 1, and sends an emergency passage pre-clearing instruction to the intelligent transportation subsystem 3 to ensure that the emergency passage is unobstructed. If the traffic safety index T exceeds the preset traffic threshold T0, the linkage decision module sends traffic guidance instructions to the intelligent transportation subsystem 3 to adjust the traffic light timing to extend the green light duration, open backup parking lots, or restrict vehicles from entering specific areas; at the same time, it pushes traffic guidance information (such as "parking lot A is full, please go to parking lot B"). If the video anomaly index V exceeds the preset video threshold V0, the linkage decision module sends a tracking and locking command to the intelligent video analysis subsystem 4, controlling the surrounding video equipment to adjust the pan-tilt angle and focus to track the abnormal target; at the same time, it pushes security alarm information to the park user service subsystem 1 (such as "unauthorized personnel found, please send security personnel to handle the situation"), and links with the intelligent transportation subsystem 3 to lock the relevant vehicle access permissions (such as closing the gate to prevent the vehicle from leaving).

[0103] The user service coordination module 54 receives user service requests forwarded by the park's user service subsystem 1 and matches corresponding service resources based on the user's identity type and permission level. User identity types are divided into four categories: resident enterprise users, park employee users, external visitor users, and system administrator users. Resident enterprise users have permission levels including ordinary enterprise users and VIP enterprise users, and their service resources include enterprise resource reservations (meeting rooms, exhibition halls, event venues), energy consumption data queries (water, electricity, gas usage and costs), policy information pushes (tax incentives, industry support policies), and industry collaboration matching (upstream and downstream enterprise recommendations, technology cooperation matching). Park employee users have permission levels including ordinary employees and department administrators, and their service resources include attendance management (clock-in records, leave approval), workstation navigation (office area map, workstation location query), meeting room reservations (available meeting room query, online reservation), catering services (cafeteria menu, online ordering, consumption records), and commuter shuttle bus services (route query, real-time location, seat reservation). Visitor access levels include scheduled visitors and walk-in visitors. Service resources include online registration (pre-registration of visitor information, visit time, and license plate number), park navigation (route guidance from the entrance to the visited company), temporary parking guidance (recommendation of available parking spaces and parking location records), company location (navigation by company floor and room number), and visitor trajectory records (visit path and dwell time). System administrator access levels include regular administrators and senior administrators. Service resources include full-park operation status monitoring (real-time data dashboards for each subsystem), parameter configuration for each subsystem (threshold settings, weight adjustments, and equipment parameters), emergency response (event reception, response process tracking, and response result recording), and operational data reports (automatic generation and export of daily, weekly, and monthly reports).

[0104] Database 6 adopts a hybrid architecture combining relational database and distributed file storage to store data collected by the park user service subsystem 1, environmental monitoring subsystem 2, intelligent transportation subsystem 3, and intelligent video analysis subsystem 4, as well as user data (user identity information, permission configuration, service records), configuration parameters (security thresholds, weight coefficients, system parameters), and historical operation records (storage system operation logs, linkage response records, and service request logs).

[0105] The intelligent operation and management system for industrial parks provided in this application can execute the above-described method embodiments. Its implementation principle and technical effect are similar, and will not be repeated here.

[0106] Figure 7 This is a schematic diagram of the electronic device used in the present invention to realize the intelligent operation and management method of industrial parks.

[0107] The electronic device may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as an intelligent operation and management program for industrial parks.

[0108] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits packaged with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., executing intelligent operation management programs for industrial parks) and calls data stored in the memory 11 to perform various functions of the electronic device and process data.

[0109] The memory 11 includes at least one type of readable storage medium, including flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of an electronic device, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device, such as a plug-in portable hard drive, smart media card (SMC), secure digital (SD) card, flash card, etc. Furthermore, the memory 11 can include both internal and external storage units of the electronic device. The memory 11 can be used not only to store application software and various types of data installed on the electronic device, such as the code of an industrial park intelligent operation management program, but also to temporarily store data that has been output or will be output.

[0110] The communication bus 12 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. The bus is configured to enable communication between the memory 11 and at least one processor 10, etc.

[0111] Communication interface 13 is used for communication between the aforementioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, Bluetooth interface, etc.), typically used to establish communication connections between the electronic device and other electronic devices. The user interface may be a display, an input unit (such as a keyboard), and optionally, a standard wired or wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device and to display a visual user interface.

[0112] Figure 7 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 7 The structure shown does not constitute a limitation on the electronic device and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0113] For example, a power supply, although not shown, may also include a power source (such as a battery) to power various components. Preferably, the power supply can be logically connected to at least one processor 10 via a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power sources, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be elaborated further here.

[0114] It should be understood that the embodiments are for illustrative purposes only and are not limited to this structure in the scope of the patent application.

[0115] The intelligent operation and management program for the industrial park stored in the memory 11 of the electronic device is a combination of multiple computer programs. The specific implementation method of the aforementioned computer programs by the processor 10 can be found in [reference needed]. Figure 1 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0116] Furthermore, if the modules / units integrated into an electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, a computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, and read-only memory (ROM).

[0117] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following functions: Figure 1 The process of intelligent operation and management of industrial parks is shown.

[0118] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0119] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0120] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0121] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0122] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the invention. No appended diagram markings in the claims should be construed as limiting the scope of the claims.

[0123] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence (AI) refers to the theories, methods, technologies, and application systems that use digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0124] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all of the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0125] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

[0126] The present invention has been described above with reference to the accompanying drawings. Obviously, the implementation of the present invention is not limited to the above-described manner. Any improvements made using the inventive concept and technical solution of the present invention, or the direct application of the inventive concept and technical solution of the present invention to other situations without modification, are all within the protection scope of the present invention.

Claims

1. A method for intelligent operation and management of industrial parks, characterized in that, include: Step S1: Obtain the park user identity information, service request data, and permission data collected by the park user service subsystem; Step S2: Obtain the park environmental parameter data collected by the environmental monitoring subsystem; Step S3: Obtain vehicle traffic data, parking space status data, and traffic flow data collected by the intelligent transportation subsystem; Step S4: Obtain the park video image data collected by the intelligent video analysis subsystem, and perform real-time intelligent analysis on the park video image data to obtain the data analysis results; Step S5: The data obtained in steps S1 to S4 are fused and processed to construct a multi-dimensional operational status dataset of the park. Step S6: Based on the multi-dimensional operation status dataset of the park, execute the security situation assessment algorithm, and generate a comprehensive security situation value of the park by comprehensively considering the environmental safety index, traffic safety index, personnel safety index and video anomaly index. Step S7: Determine whether the overall security status value of the park exceeds the preset security threshold. If so, a linkage control command is generated, which is used to issue control commands to the environmental monitoring subsystem, intelligent transportation subsystem, and intelligent video analysis subsystem respectively, so as to realize the coordinated linkage response across subsystems.

2. The intelligent operation and management method for industrial parks according to claim 1, characterized in that, Step S7 further includes: If so, a control command is issued to the park user service subsystem, which is used to push security warning information and emergency guidance information to relevant users.

3. The intelligent operation and management method for industrial parks according to claim 1, characterized in that, In step S4, the park video image data collected by the intelligent video analysis subsystem is acquired, and the park video image data is subjected to real-time intelligent analysis to obtain data analysis results, specifically including: Acquire real-time video streams, which come from video capture devices deployed at park entrances and exits, public areas, and around key facilities; Target detection and recognition are performed on the real-time video stream to extract features of personnel, vehicles, and abnormal behavior. Spatiotemporal correlation analysis is performed on the characteristics of the personnel targets, the characteristics of the vehicle targets, and the characteristics of abnormal behavior to identify personnel gathering behavior, illegal intrusion behavior, vehicle illegal parking behavior, and abnormal loitering behavior; The analysis results are compared and verified with the user identity data in the park user service subsystem to generate video anomaly event records.

4. The intelligent operation and management method for industrial parks according to claim 3, characterized in that, The step of comparing and verifying the analysis results with the user identity data in the park user service subsystem specifically includes: When a target person is identified, facial or body features are extracted and matched with the authorized personnel feature database pre-stored in the park user service subsystem. If a match fails, the user is marked as an unauthorized person, and an anomaly warning is triggered by the intelligent video analysis subsystem. At the same time, the location and timestamp of the unauthorized personnel are associated with the passage records of that time period in the intelligent transportation subsystem to determine whether there is tailgating or misuse of documents.

5. The intelligent operation and management method for industrial parks according to claim 1, characterized in that, In step S6, the comprehensive environmental safety index, traffic safety index, personnel safety index, and video anomaly index are used to generate the comprehensive security situation value of the park. The specific calculation formula is as follows: S = α·E + β·T + γ·P + δ·V; Where S is the overall security situation value of the park, E is the environmental security index, T is the traffic safety index, P is the personnel safety index, V is the video anomaly index, and α, β, γ, and δ are weighting coefficients, and α+β+γ+δ=1. The environmental safety index is calculated based on air quality data, temperature and humidity data, noise data, and fire protection facility status data collected by the environmental monitoring subsystem. The traffic safety index is calculated based on the vehicle traffic density, parking space saturation, road congestion coefficient, and number of illegally parked vehicles collected by the intelligent transportation subsystem. The personnel safety index is calculated based on the personnel density, visitor-to-employee ratio, and number of emergency assistance requests within the park, as statistically analyzed by the park user service subsystem. The video anomaly index V is calculated based on the number of abnormal events identified by the intelligent video analysis subsystem, the frequency of unauthorized personnel appearances, and the number of intrusion alarms in key areas.

6. The intelligent operation and management method for industrial parks according to claim 1, characterized in that, The comprehensive security status value of the park includes an environmental security index, a traffic safety index, and a video anomaly index; the preset security thresholds include preset environmental thresholds, preset traffic thresholds, and preset video thresholds. In step S7, the implementation of cross-subsystem coordinated response specifically includes: When the environmental safety index exceeds the preset environmental threshold, the environmental monitoring subsystem is issued an equipment control command to initiate ventilation, cooling or fire prevention measures. At the same time, environmental early warning information is pushed to the park user service subsystem, and an emergency channel pre-clearing instruction is sent to the intelligent transportation subsystem; When the traffic safety index exceeds a preset traffic threshold, a traffic management instruction is issued to the intelligent transportation subsystem to adjust traffic light timings, open backup parking lots, or restrict vehicle access to specific areas; at the same time, traffic guidance information is pushed to the park user service subsystem. When the video anomaly index exceeds a preset video threshold, a tracking and locking command is sent to the intelligent video analysis subsystem to control surrounding video devices to track the abnormal target; at the same time, a security alarm is pushed to the park user service subsystem, and the intelligent transportation subsystem is linked to lock the relevant vehicle access permissions.

7. The intelligent operation and management method for industrial parks according to claim 1, characterized in that, Also includes: Step S8: Obtain service requests from resident enterprises, park employees, and visitors collected by the park user service subsystem, match corresponding service resources according to user identity type and permission level, and coordinate each subsystem to provide differentiated service responses.

8. The intelligent operation and management method for industrial parks according to claim 7, characterized in that, In step S8, matching the corresponding service resources according to the user's identity type and permission level specifically includes: The user identity types are divided into four categories: resident enterprise users, park employee users, external visitor users, and system administrator users. The platform provides the participating companies with services such as company resource reservation, energy consumption data query, policy information push and industry collaboration matchmaking. Provides attendance management, workstation navigation, meeting room reservation, catering services, and commuter shuttle services for employees in the park; Provide the aforementioned external visitors with online appointment registration, park navigation, temporary parking guidance, location of visited companies, and visitor trajectory recording services; The system provides the system administrator with services including monitoring of the entire park's operational status, configuration of parameters for each subsystem, emergency response, and operational data reporting.

9. An intelligent operation and management system for industrial parks, used to execute the intelligent operation and management method for industrial parks as described in any one of claims 1 to 8, characterized in that, include: The system comprises a park user service subsystem, an environmental monitoring subsystem, an intelligent transportation subsystem, an intelligent video analysis subsystem, a data processing platform, and a database. The data processing platform is connected to the park user service subsystem, the environmental monitoring subsystem, the intelligent transportation subsystem, and the intelligent video analysis subsystem, respectively. The database is connected to the park user service subsystem, the environmental monitoring subsystem, the intelligent transportation subsystem, the intelligent video analysis subsystem, and the data processing platform, respectively.

10. The intelligent operation management system for industrial parks according to claim 9, characterized in that, The park user service subsystem is used to collect park user identity information, service request data and permission data, and provide differentiated service responses to users; The environmental monitoring subsystem is used to collect environmental parameter data of the park and execute environmental control commands; The intelligent transportation subsystem is used to collect vehicle traffic data, parking space status data, and traffic flow data in the park, and to execute traffic control commands. The intelligent video analysis subsystem is used to collect video image data of the park and perform real-time intelligent analysis to identify abnormal behavior and unauthorized personnel. The data processing platform is used to perform fusion processing, security situation assessment, and linkage control decisions on the data collected by each subsystem in the database. The database is used to store data, user data, configuration parameters, and historical operation records collected by the park user service subsystem, the environmental monitoring subsystem, the intelligent transportation subsystem, and the intelligent video analysis subsystem.

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