Personnel activity control and regional safety prevention and control system and method based on fusion positioning technology

Abstract

The invention discloses a personnel activity control and regional safety prevention and control system and method based on a fusion positioning technology, and relates to the technical field of personnel monitoring. A positioning sensing module is fused with the positioning technology to obtain positioning data and preprocess the positioning data; the GIS fusion module dynamically divides an early warning area and maps positioning data to an electronic map; the intelligent analysis module monitors the spatial relationship between the personnel and the early warning area, and when an early warning condition is met, early warning is triggered and a border crossing event list is generated; the linkage execution module receives the early warning signal and is linked with a camera, an entrance guard and an alarm device in a corresponding early warning area; and the visual echo module is used for displaying the electronic map, the early warning area, the personnel track, the event list and the video information. The method improves the positioning precision, flexibly and dynamically divides and manages areas, carries out border crossing detection and exemption rules in combination with a plurality of judgment mechanisms to realize precise prevention and control, is linked with security equipment, enhances the cooperative prevention and control capability, and reduces the cost.

Description

Technical Field

[0001] This invention relates to the field of personnel monitoring technology, specifically, to a personnel activity control and regional security prevention and control system and method based on fusion positioning technology. Background Technology

[0002] In areas with strict control over personnel movement (such as prisons, detention centers, drug rehabilitation centers, military control zones, research institutes, and specific industrial parks), maintaining order and security within the area is the core management objective. These areas must ensure that personnel only move within permitted areas, preventing them from entering unauthorized or potentially dangerous areas to mitigate risks such as security incidents and information leaks. Currently, traditional management methods primarily rely on manual patrols, access control, and limited video surveillance. However, as the area expands, the number of personnel increases, and management requirements become more stringent, the limitations of traditional methods become increasingly apparent.

[0003] Manual patrols have the following drawbacks: long patrol intervals, easy occurrence of regulatory gaps, high labor intensity, and low efficiency.

[0004] Access control systems can only control people entering and exiting specific areas, but cannot track the movement of people within those areas in real time;

[0005] Video surveillance has blind spots, making it difficult to proactively identify people crossing boundaries and failing to meet the needs of refined management.

[0006] Currently, positioning technology has been initially applied in the field of personnel management, such as using GPS to monitor the outdoor location of personnel and using Bluetooth in some factories to track the movement of employees within the factory area. However, such monitoring systems based on a single positioning technology still have significant drawbacks:

[0007] 1. Insufficient positioning accuracy and reliability: GPS signals are weak or even fail indoors, underground, or in obstructed areas; Bluetooth positioning accuracy is limited and easily interfered with, making it difficult to accurately determine whether people have crossed the boundary.

[0008] 2. Lack of flexibility in management functions: The area division operation is cumbersome and cannot quickly set allowed / prohibited areas according to site layout, functional zoning and temporary changes; the boundary crossing judgment mechanism is simple and does not take into account positioning errors, normal personnel approaching the boundary, etc., which are prone to false alarms and lack an effective fault tolerance and identification mechanism.

[0009] 3. Insufficient system collaboration and functional integration: GIS and electronic map technologies are mostly used as static auxiliary tools and are loosely integrated with positioning and monitoring systems, failing to achieve deep integration of real-time trajectory monitoring and boundary judgment; security systems such as video surveillance, access control, and alarms operate independently, resulting in untimely linkage response, inaccurate information transmission, and weak collaborative prevention and control capabilities.

[0010] In summary, existing technologies for personnel activity management and regional security control suffer from problems such as insufficient positioning accuracy, lack of flexibility in management functions, and poor system linkage effects, and there is an urgent need for a more comprehensive and innovative control system. Summary of the Invention

[0011] The purpose of this invention is to provide a personnel activity management and regional security control system and method based on fusion positioning technology, which solves the problems of insufficient positioning accuracy, lack of flexibility in management functions, and poor system linkage effect in the existing personnel activity management and regional security control technologies.

[0012] The present invention solves the above problems through the following technical solution:

[0013] A personnel activity control and regional security prevention and control system and method based on fusion positioning technology includes a positioning sensing module, a GIS fusion module, an intelligent analysis module, a linkage execution module, and a visualization feedback module, wherein:

[0014] The positioning and sensing module obtains the positioning data of the personnel by a positioning terminal that integrates at least two positioning technologies, performs data preprocessing, and then sends the data to the GIS fusion module.

[0015] The GIS fusion module is configured to dynamically divide the warning area based on GIS and electronic map technology, map the received location data to the electronic map, realize real-time marking of personnel location and real-time calculation of the distance between personnel and the boundary of the warning area and send it to the intelligent analysis module.

[0016] The intelligent analysis module is configured to monitor the spatial relationship between personnel location and warning area in real time. When the warning conditions are met, it triggers an alarm and generates an out-of-bounds event form, which is then sent to the linkage execution module.

[0017] The linkage execution module is configured to link the camera, access control and alarm device in the corresponding warning area with the warning signal, push the real-time image captured by the camera to the visualization feedback module, trigger the access control to lock automatically and trigger the alarm device to sound an alarm.

[0018] The visualization feedback module is configured to communicate with the GIS fusion module, intelligent analysis module, and linkage execution module to display electronic maps, warning areas, personnel trajectories, boundary crossing event information, and video surveillance information.

[0019] Furthermore, the positioning terminal integrates two or more of GPS positioning, Bluetooth positioning, UWB positioning and Wi-Fi fingerprint positioning, and automatically switches or overlays positioning methods for different scenarios.

[0020] Furthermore, the data preprocessing method is as follows: real-time cleaning of the positioning data to remove jumps and duplicate data, and correction of positioning errors using a Kalman filter algorithm.

[0021] Furthermore, the method for dynamically dividing early warning areas based on GIS and electronic map technology is as follows: a visual area editing tool is developed based on GIS technology, which allows managers to draw and modify permitted areas and early warning areas on an electronic map. The early warning areas include prohibited areas and restricted areas, and exclusive attributes are set for different areas. The exclusive attributes include the area prevention and control level and the boundary response rules.

[0022] Furthermore, the method for triggering an early warning when the warning conditions are met is as follows:

[0023] Determine if a person is within the warning area. If so, trigger a warning. Otherwise, compare the distance between the person and the boundary of the warning area with a distance threshold. If the distance between the person and the boundary of the warning area is less than the distance threshold, and the duration exceeds the duration threshold and does not meet the warning exemption rules, compare the distance between the person and the boundary of the warning area with the set warning level rules to obtain the warning level, and trigger a warning according to the warning level.

[0024] Furthermore, the method for calculating the distance between the personnel and the boundary of the warning area is as follows: calculate the distance from the personnel to the vertex of the warning area and the perpendicular distance from the personnel to the edge of the warning area, and take the smaller of the two as the distance between the personnel and the boundary of the warning area.

[0025] Furthermore, the intelligent analysis module is configured to avoid false alarms, including one or more of the following methods:

[0026] (1) Misjudgments caused by positioning data errors are avoided, including:

[0027] Filter out anomalies in location data;

[0028] Mean filtering is applied to N1 consecutive positioning points to eliminate instantaneous drift;

[0029] Location data is acquired using a dynamic sampling frequency based on personnel approaching / moving from the warning area; N1 is a set quantity value.

[0030] (2) Avoiding misjudgments caused by unreasonable early warning conditions, including:

[0031] Based on the shape of the warning area, the rules are subdivided and adapted, and either the distance threshold is relaxed or the sector area is exempted.

[0032] Add time dimension verification; an alert is triggered only when all N2 consecutive sampling points meet the distance condition, where N2 is a set number of points.

[0033] The duration threshold is dynamically adjusted based on the risk level of the warning area;

[0034] The rules for exemption from early warning have been refined, including exemptions for combinations of personnel and actions, exemptions for combinations of personnel and carried equipment, and exemptions for spatiotemporal overlap.

[0035] (3) Avoiding misjudgments caused by environmental interference, including:

[0036] Environmental adaptive threshold: correlates with environmental sensor data and automatically expands the distance threshold;

[0037] The warning area boundary is dynamically corrected. The camera / LiDAR detects obstacles around the warning area in real time. If there are temporary piles of objects, the warning boundary is automatically expanded outward to the width of the obstacle.

[0038] Multimodal verification: When it is determined that a person is approaching the red zone, the cameras around the warning area are called up, and the target detection algorithm is used to confirm whether a person is in the area. The warning is triggered only if the two match.

[0039] Personnel status verification uses motion sensors on wearable devices to determine whether a person is stationary. If the location shows that the person is close to the warning area but is stationary, it is determined to be location drift.

[0040] (4) Misjudgments caused by errors in the calculation of warning area boundaries, overlapping warning areas, and deviations in distance calculations should be avoided, including:

[0041] Verify the legality of the shape of the warning area;

[0042] When two or more warning areas overlap, the warning area with the highest risk level will be triggered first; if the risk levels are the same, the warning area that is closest to the other warning area will be used as the basis for judgment.

[0043] Historical data feedback optimization: Record all warning events, record the type and number of misjudgments, and adjust the warning conditions based on the reasons for the misjudgments.

[0044] A method for personnel activity control and regional security prevention based on fusion positioning technology includes:

[0045] Control personnel carry positioning terminals that integrate at least two positioning technologies. The positioning terminals acquire personnel's positioning data in real time and perform data preprocessing.

[0046] The preprocessed location data is mapped onto an electronic map, which pre-divides warning areas. Based on the location data, the real-time location of personnel is standardized, and the distance between personnel and the boundary of the warning area is calculated. The electronic map, the warning areas, and the personnel trajectories are displayed.

[0047] Monitor the spatial relationship between the location of personnel and the warning area, and trigger a warning and generate a boundary crossing event when the warning conditions are met;

[0048] Based on the warning signal, the corresponding cameras, access control, and alarm devices in the warning area are linked. The real-time images captured by the cameras, the boundary crossing event information, and the video surveillance information are displayed, triggering the access control to automatically lock and / or triggering the alarm device to issue an alarm.

[0049] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0050] (1) This invention improves positioning accuracy, flexibility, dynamic division and management area by integrating multiple technologies and modular collaborative design. It combines multiple judgment mechanisms to achieve precise prevention and control by implementing boundary crossing detection and exemption rules. It also links with security equipment to enhance collaborative prevention and control capabilities and reduce management and labor costs.

[0051] Significant improvements have been achieved in management efficiency, prevention and control reliability, and resource optimization.

[0052] (2) This invention integrates GPS, UWB, Bluetooth and Wi-Fi fingerprint positioning technologies, which greatly improves positioning accuracy and reliability. It can accurately determine whether a person has really crossed the boundary, meet the positioning needs of complex areas, and solve the problem of "inaccurate positioning and incomplete coverage" of existing methods.

[0053] (3) The present invention can dynamically divide and modify areas, and can quickly set allowed / prohibited areas according to site layout, functional zoning and temporary changes, adapt to dynamic scenarios such as temporary construction and functional adjustment, and realize “one policy for one area” management.

[0054] (4) This invention combines a multi-condition boundary judgment algorithm of “location + movement trend + identity and permissions” and designs error avoidance rules to take into account positioning errors, normal personnel approaching the boundary, etc., to prevent false alarms and achieve fault-tolerant identification.

[0055] (5) In this invention, the system is deeply integrated with video surveillance, access control and sound and light alarm systems, and the multi-module collaborative prevention and control capabilities are enhanced, solving the problem of "each doing its own thing and lagging linkage" in the existing methods.

[0056] (6) The fully automated positioning monitoring, boundary judgment and linkage response of this invention reduces the frequency of manual patrols and the configuration of monitoring personnel, and reduces both management costs and safety risks. Through “early warning area reminder + movement trend prediction”, the safety management is transformed from “post-event handling” to “pre-event prevention”, which significantly reduces the risks of safety accidents and information leakage caused by personnel crossing boundaries and provides reliable security. Attached Figure Description

[0057] Figure 1This is a system principle block diagram of an embodiment of the present invention;

[0058] Figure 2 This is a schematic diagram illustrating the principle of the positioning sensing module in an embodiment of the present invention;

[0059] Figure 3 This is a schematic diagram illustrating the principle of the GIS fusion module in an embodiment of the present invention;

[0060] Figure 4 This is an interaction diagram of the intelligent analysis module, the visualization feedback module, and the linkage execution module in this embodiment of the invention. Detailed Implementation

[0061] The present invention will be further described in detail below with reference to embodiments, but the implementation of the present invention is not limited thereto.

[0062] Example 1:

[0063] Combined with appendix Figure 1 As shown, a personnel activity control and regional security prevention and control system and method based on fusion positioning technology includes a positioning perception module, a GIS fusion module, an intelligent analysis module, a linkage execution module, and a visualization feedback module, wherein:

[0064] The positioning and sensing module obtains the positioning data of the personnel by a positioning terminal that integrates at least two positioning technologies, performs data preprocessing, and then sends the data to the GIS fusion module.

[0065] The GIS fusion module is configured to dynamically divide the warning area based on GIS and electronic map technology, map the received location data to the electronic map, realize real-time marking of personnel location and real-time calculation of the distance between personnel and the boundary of the warning area and send it to the intelligent analysis module.

[0066] The intelligent analysis module is configured to monitor the spatial relationship between personnel location and warning area in real time. When the warning conditions are met, it triggers an alarm and generates an out-of-bounds event form, which is then sent to the linkage execution module.

[0067] The linkage execution module is configured to link the camera, access control and alarm device in the corresponding warning area with the warning signal, push the real-time image captured by the camera to the visualization feedback module, trigger the access control to lock automatically and trigger the alarm device to sound an alarm.

[0068] The visualization feedback module is configured to communicate with the GIS fusion module, intelligent analysis module, and linkage execution module to display electronic maps, warning areas, personnel trajectories, boundary crossing event information, and video surveillance information.

[0069] This invention adopts a "layered and progressive + data closed-loop" architecture. It constructs a prevention and control system through "multi-technology integration (integration of multiple positioning technologies, integration of GIS and electronic maps) + modular collaboration". Each module realizes real-time data interaction through standardized data interfaces, forming a complete prevention and control process of "data collection - analysis and judgment - linkage response - result display", realizing accurate monitoring of personnel trajectories and regional security prevention and control.

[0070] (I) Positioning and Sensing Module: Multi-mode positioning fusion to solve accuracy and reliability issues, combined with... Figure 2 As shown:

[0071] Positioning technology combination: Integrating four technologies—GPS, Bluetooth, UWB (Ultra-Wideband), and Wi-Fi fingerprint positioning—it can automatically switch or overlay positioning for different scenarios.

[0072] Outdoor open areas: GPS is the primary method, with a positioning accuracy of 1-5 meters, which can meet the needs of large-scale personnel trajectory tracking;

[0073] Indoor / underground / obstructed areas: Switch to UWB + Bluetooth combined positioning, with UWB accuracy reaching 0.1-0.5 meters and Bluetooth assisting in correcting signal interference issues;

[0074] Key control points (such as restricted area entrances): Overlay Wi-Fi fingerprint positioning to further improve the accuracy of local area positioning.

[0075] Positioning terminal design: Portable positioning terminals are provided for management personnel. These portable positioning terminals have the following features:

[0076] Multi-mode positioning chip, supporting automatic switching of positioning modes;

[0077] Low power consumption design ensures 24-hour continuous battery life;

[0078] Offline data storage function: temporarily stores trajectory data when the network is interrupted, and automatically uploads it after the network is restored.

[0079] Data preprocessing mechanism: The collected positioning data is cleaned in real time to remove jumps and duplicate data, and the positioning error is corrected by Kalman filtering algorithm to ensure that the accuracy of the original data is ≥95%.

[0080] (II) GIS Integration Module: This module integrates GIS with electronic maps to achieve dynamic zoning and spatial correlation, addressing management flexibility issues. Figure 3 As shown:

[0081] Dynamic region division function: A visual region editing tool developed based on GIS technology, which administrators can operate through the backend.

[0082] Draw "Allowed Area" and "Warning Area" by dragging and dropping with the mouse. The "Warning Area" includes "Prohibited Area" and "Restricted Area". It supports the division of areas with shapes such as polygons and irregular shapes.

[0083] Quickly modify the area scope for temporary needs (such as temporary construction restricted areas), and synchronize the changes to other modules in real time;

[0084] Set exclusive attributes for different areas (such as restricted area level and boundary crossing response rules) to achieve "one policy for one area" management.

[0085] Deep integration of location data with GIS: Real-time mapping of cleaned personnel location data to electronic maps to achieve:

[0086] Personnel locations are marked in real time (different colored icons are used to distinguish personnel with different identities, such as blue for managers and red for control personnel).

[0087] Historical trajectory backtracking: For example, it supports querying the trajectory of any person in the past 24 hours, with time nodes marked on the trajectory lines, and the trajectory movement process can be replayed;

[0088] Spatial relationship calculation: Automatically calculates the distance between people and the area boundary, triggering a "warning zone" alert 5-10 meters in advance.

[0089] (III) Intelligent Analysis Module: Intelligent boundary violation judgment, solving false alarm and fault tolerance issues, combined with Figure 4 As shown:

[0090] Early warning algorithm design for personnel approaching the warning area:

[0091] 1. Core Algorithm Objective: Real-time monitoring of the spatial relationship between personnel location and "red zone" (prohibited / restricted area), triggering alerts based on operator-defined rules, and supporting flexible configuration of alert conditions (such as distance threshold, alert level, duration, etc.).

[0092] 2. Core Parameters and Rule Configuration Items: Operators can customize rules as shown in Table 1 (stored in the configuration table / configuration file):

[0093] Table 1 Core Parameters and Rule Configuration Items

[0094]

[0095] 3. Algorithm Flow Data Input:

[0096] Real-time personnel location: (person ID, timestamp, longitude x, latitude y) (from positioning device such as GPS / BeiDou);

[0097] Red zone configuration data: Load the red zone range and warning rules from the database / configuration file;

[0098] 4. Location Verification (Boundary Detection): For each person's location, calculate its spatial relationship with all red zones.

[0099] Determine if within the red zone: Use a polygon containment algorithm (such as ray casting) to check if the personnel's coordinates are inside the red zone polygon;

[0100] Calculate the shortest distance: If not within the red zone, calculate the shortest distance from the personnel to the boundary of the red zone (perpendicular distance from the polygon vertex / edge).

[0101] 5. Rule matching and alert triggering:

[0102] If personnel are in the red zone: the highest level of alert will be triggered directly (can be configured as "intrusion alert");

[0103] If a person is outside the red zone but the distance is less than or equal to the warning distance threshold: the warning level is matched according to the distance (e.g., 0-2 meters → Level 1, 2-5 meters → Level 2) and the time of entering the warning range is recorded. If the duration is greater than or equal to the configured threshold (lingering identification), the "continuous approach warning" is triggered.

[0104] Exemption rule filtering: If the personnel / time period meets the exemption conditions, skip the warning.

[0105] 6. Early warning output:

[0106] Output format: (Warning ID, Personnel ID, Red Zone ID, Warning Level, Trigger Time, Personnel Location, Distance from Red Zone) Supports integration with audible and visual alarm devices, system message push, or database records.

[0107] 7. It also avoids some misjudgments:

[0108] (1) Misjudgment and avoidance caused by positioning data error

[0109] False alarm scenarios: GPS signal drift (e.g., positioning deviation of 2-5 meters indoors / in obstructed areas), equipment malfunction (sudden jump to near the red zone), and excessively low sampling frequency (missing the true trajectory). Mitigation measures include:

[0110] Multi-source positioning fusion: Combining data from multiple sources such as GPS, Bluetooth beacons (indoor), UWB (high precision), and base station positioning, location information is fused using a Kalman filter algorithm to reduce errors from individual devices (e.g., when GPS drifts, Bluetooth beacons are used to correct coordinates). Example: When GPS positioning accuracy is <3 meters, UWB data is used as the primary positioning source; if the accuracy of all positioning sources is >5 meters, it is marked as "low-reliability data," and no warning is triggered.

[0111] Anomaly filtering: Set "location jump threshold": If the distance difference between two adjacent positioning is greater than the normal moving speed × time interval (e.g., if a person's walking speed is ≤1.5m / s and the jump is greater than 2 meters within 1 second, it is judged as an anomaly), this point will not be included in the early warning calculation and will only be recorded for verification.

[0112] Sliding window smoothing: Apply mean filtering to 5-10 consecutive positioning points to eliminate instantaneous drift (e.g., if a point suddenly jumps to the edge of the red zone, but the points before and after it are far away, then ignore the abnormal point).

[0113] Dynamic sampling frequency: When personnel are far from the red zone (distance > 2 times the warning threshold), reduce the sampling frequency (e.g., 10 seconds / time); when approaching the warning range, increase it to 1-2 seconds / time to avoid trajectory misjudgment due to excessively long sampling intervals.

[0114] (2) Misjudgment and avoidance caused by unreasonable rule design

[0115] False positive scenarios: Fixed thresholds do not consider the shape of the red zone (e.g., corners of narrow red zones are prone to false positives), fail to distinguish between "instantaneous passage" and "lingering approach," and have incomplete exemption rule coverage. Mitigation measures include:

[0116] Red zone shape adaptation rules: For polygonal red zones, subdivide the rules according to regional characteristics: For example, when the edge of the red zone is a passage, relax the warning threshold of that line segment (such as increasing it from 5 meters to 8 meters) to avoid accidental triggering when people pass through normally.

[0117] Circular red zone support: "Fan-shaped exemption": If a certain direction of the red zone is a necessary path, the warning threshold within that fan-shaped area (such as a 120° range) can be configured to be invalid.

[0118] Time dimension verification: Add "effective approach" judgment: the warning will only be triggered when the distance condition is met for N consecutive sampling points within the warning range (e.g., 3 consecutive points, about 3-5 seconds), filtering out instantaneous passing (e.g., quickly walking across the edge of the red zone).

[0119] Dynamically adjust the duration threshold: set according to the risk level of the red zone (high-risk red zone: warning after 2 seconds; low-risk: 10 seconds).

[0120] Refined exemption rules: Support for "personnel + action" combination exemptions: For example, when an authorized person is carrying a specific device (such as an RFID card), there will be no warning even if they approach the red zone; or a temporary exemption will be granted when the person is in "working status" (determined by device sensors, such as when a handheld tool is activated).

[0121] Spatiotemporal overlay exemption: For example, a red zone is only effective from 8:00 to 18:00 on weekdays, and the warning will be automatically turned off at other times.

[0122] (3) Misjudgment and avoidance caused by environmental interference

[0123] Misjudgment scenarios: severe weather (heavy rain causing weak GPS signal), obstructions (buildings / trees obstructing the view causing positioning deviation), dynamic obstacles (temporary piles of objects causing changes in the actual boundary of the red zone). Mitigation measures include:

[0124] Environmental adaptive threshold: Associated with environmental sensor data: When scenarios such as heavy rain or strong electromagnetic interference are detected, the "buffer zone" of the warning threshold is automatically expanded (e.g., the original threshold of 5 meters is temporarily adjusted to 8 meters) to offset positioning errors.

[0125] Dynamic correction of red zone boundary: Real-time detection of obstacles around the red zone via camera / LiDAR. If there are temporary piles of objects, the red zone boundary will be automatically expanded outward by the width of the obstacles (e.g., if the piles of objects are 3 meters wide, the red zone boundary will be expanded outward by 3 meters).

[0126] Multimodal verification: Combined with visual-assisted judgment: When the positioning system determines that a person is approaching the red zone, it calls the cameras around the red zone and uses AI recognition (such as YOLO object detection) to confirm whether a person is actually in the area. Only when the two match will an alert be triggered.

[0127] Personnel status verification: Determine whether a person is "stationary" using motion sensors on wearable devices (such as smartwatches) (if the location shows that the person is close to the red zone but is stationary, it may be due to location drift).

[0128] (4) Misjudgments caused by algorithm logic defects and their avoidance

[0129] False positive scenarios: boundary calculation errors (e.g., incorrect polygon vertex order leading to misjudgment of inclusion relationships), rule conflicts when multiple red areas overlap, and distance calculation deviations (e.g., incorrect formula for the distance from a point to a line segment). Mitigation measures include:

[0130] Algorithm verification mechanism: Red zone configuration verification: After the operator enters the red zone coordinates, the system automatically verifies the validity of the polygon (such as that the vertices are not repeated or intersecting) and visually displays the red zone range to avoid boundary misjudgment caused by incorrect coordinate input.

[0131] Dual verification for distance calculation: Both the "point-to-line segment distance" and the "point-to-polygon vertex distance" methods are used simultaneously, and the minimum value is taken as the final distance to avoid errors from a single algorithm.

[0132] Conflict resolution rules: When multiple red zones overlap, the rule for the "highest risk level red zone" will be triggered first; if the risk levels are the same, the nearest red zone will be used as the basis for judgment.

[0133] Historical data feedback optimization: Record all warning events, and operators can mark them as "misjudgments" and indicate the reasons (such as "location drift" or "unreasonable rules"). The system regularly counts the types of misjudgments and automatically recommends rule adjustments (such as prompting to increase the threshold if the misjudgment rate is high in a certain red zone).

[0134] 8. It also includes setting up a tiered response mechanism: setting up 3 response levels based on the severity of the boundary breach:

[0135] Warning (personnel entering the warning area): The system automatically pushes a reminder message to the management personnel's terminal, without triggering an audible or visual alarm;

[0136] Minor boundary crossing (personnel briefly enter a low-level restricted area and immediately leave): push notification + on-site audible and visual alarm (volume ≤ 60 decibels);

[0137] Serious boundary crossing (personnel continuously staying in high-level restricted areas or forcibly entering): push notification + high-decibel sound and light alarm + linkage with video surveillance to focus.

[0138] (iv) Linkage Execution Module: Collaboration among multiple security systems to solve the problem of poor linkage effect.

[0139] System integration interface development: Integrating with existing video surveillance, access control, and alarm systems to achieve data exchange.

[0140] Linked video surveillance: When boundary crossing is triggered, the system automatically retrieves cameras near the crossed area and pushes the real-time footage to the visualization playback layer, supporting video playback;

[0141] Linked access control system: If unauthorized personnel attempt to leave the controlled area through the access control system, the system will automatically lock and trigger an alarm;

[0142] Linked sound and light alarm equipment: Alarm devices (such as loudspeakers and warning lights) near the boundary area will be automatically activated to deter people and alert surrounding management personnel.

[0143] Linked response process: After the out-of-bounds judgment is triggered, the system will automatically execute the linked operation according to the following process, with a total response time of ≤3 seconds:

[0144] The intelligent analysis module generates a "boundary crossing event report" (including the identity of the person crossing the boundary, the time of crossing the boundary, the area crossed the boundary, and the real-time location).

[0145] The linkage execution module receives the event order and automatically matches the corresponding linkage device (such as the camera or access control system in the area).

[0146] Send control commands to the linked equipment and push the event form to the visual feedback module at the same time;

[0147] Record the results of the linked operations (such as whether the camera successfully focuses or whether the access control is locked) to form a closed-loop record.

[0148] (v) Visual feedback module: Information integration and display, solving the problem of intuitive management.

[0149] Multi-dimensional information display dashboard: Develop a visual management dashboard for real-time display:

[0150] Electronic map section: Displays the distribution of people in the entire area, area division, and real-time alarm points (marked with flashing red dots);

[0151] Data statistics section: Displays the number of boundary crossing incidents on the day (statistically categorized by level), online rate of location terminals, and number of people in each area;

[0152] Event Details section: Click on the alarm point to view details of the boundary crossing incident, status of linked equipment, and processing progress;

[0153] Video surveillance section: Displays real-time video feeds of out-of-bounds areas and key entrances / exits in separate windows.

[0154] Synchronized display on mobile devices: Develop a supporting mobile app to support administrators.

[0155] Receive real-time alarm messages and view event details;

[0156] Remotely view personnel movements and electronic maps;

[0157] Perform "manual exemption" operations for minor boundary violations to reduce ineffective processing procedures.

[0158] Administrators can view and handle events via a large screen or an app, and the results are sent back to the system for archiving.

[0159] This invention addresses the core shortcomings of existing prevention and control technologies through multi-technology integration and modular collaborative design, achieving significant improvements in positioning accuracy, management efficiency, prevention and control reliability, and resource optimization. It offers the following advantages:

[0160] (i) Positioning accuracy and reliability have been greatly improved, solving the problems of "inaccurate positioning and incomplete coverage".

[0161] Integrating GPS, UWB, Bluetooth, and Wi-Fi fingerprint positioning technologies, it achieves full-scene coverage from "outdoors to indoors to key control points," completely eliminating signal blind spots in underground and obstructed areas where traditional single positioning technologies are used. The positioning accuracy reaches up to 0.1-0.5 meters (UWB technology), meeting the precise positioning needs of areas with high control requirements. Through algorithms and real-time data cleaning mechanisms, it removes jump and duplicate positioning data, achieving a positioning data accuracy rate of ≥95%, providing a reliable data foundation for boundary crossing analysis.

[0162] (ii) Management flexibility and precision have been significantly improved, solving the problems of "rigid zoning and mechanical response".

[0163] The GIS-based visualization area editing tool supports drag-and-drop for quick area division / modification, adapting to dynamic scenarios such as temporary construction and function adjustments. The efficiency of zoning operations is more than 80% higher than the traditional manual reporting process, enabling "one policy per area" management. Combined with a multi-condition boundary crossing judgment algorithm based on "location + movement trend + identity permissions", boundary crossing responses are divided into three levels, reducing the false alarm rate to below 5% and reducing the ineffective workload of management personnel. It supports 24-hour historical trajectory backtracking and time node annotation, which can quickly reconstruct personnel activity paths and shorten the event investigation time from several hours of traditional manual investigation to within 10 minutes.

[0164] (III) Enhanced multi-system collaborative prevention and control capabilities, addressing the problems of "each system acting independently and lagging coordination".

[0165] Deeply integrated with video surveillance, access control, and audible and visual alarm systems, it completes the coordinated operation of "camera focusing, access control locking, and audible and visual alarm" within 3 seconds after a boundary crossing event is triggered. This improves the response time by 90% compared to the traditional manual coordination (average 30 minutes), effectively curbing further violations. The visual feedback layer integrates multi-dimensional information, allowing managers to fully grasp the on-site situation through a large screen, improving decision-making efficiency by more than 60%. The accompanying mobile APP supports remote control, enabling "management anytime, anywhere".

[0166] (iv) Both management costs and safety risks are reduced, achieving "cost reduction and efficiency improvement, and risk prevention".

[0167] The fully automated positioning monitoring, boundary crossing judgment, and linkage response reduce the frequency of manual patrols and the configuration of monitoring personnel, saving 30%-50% of security manpower costs. At the same time, it reduces the labor intensity and safety risks of manual inspections (such as night patrols and high-risk area inspections). Through "early warning area reminder + movement trend prediction", an early warning is triggered 5-10 meters before personnel approach the prohibited area, transforming security management from "post-event handling" to "pre-event prevention". This significantly reduces the risks of security accidents and information leaks caused by personnel crossing boundaries, providing reliable security for high-risk control areas such as prisons and research institutes.

[0168] Example 2:

[0169] Based on Example 1, a method for personnel activity control and regional security prevention and control based on fusion positioning technology includes:

[0170] Control personnel carry positioning terminals that integrate at least two positioning technologies. The positioning terminals acquire personnel's positioning data in real time and perform data preprocessing.

[0171] The preprocessed location data is mapped onto an electronic map, which pre-divides warning areas. Based on the location data, the real-time location of personnel is standardized, and the distance between personnel and the boundary of the warning area is calculated. The electronic map, the warning areas, and the personnel trajectories are displayed.

[0172] Monitor the spatial relationship between the location of personnel and the warning area, and trigger a warning and generate a boundary crossing event when the warning conditions are met;

[0173] Based on the warning signal, the corresponding cameras, access control, and alarm devices in the warning area are linked. The real-time images captured by the cameras, the boundary crossing event information, and the video surveillance information are displayed, triggering the access control to automatically lock and / or triggering the alarm device to issue an alarm.

[0174] Although the present invention has been described herein with reference to illustrative embodiments, the above embodiments are merely preferred embodiments of the present invention, and the implementation of the present invention is not limited to the above embodiments. It should be understood that those skilled in the art can devise many other modifications and implementations, which will fall within the scope and spirit of the principles disclosed in this application.

Claims

1. A personnel activity management and control and regional security prevention system and method based on fusion positioning technology, characterized in that, The system comprises a positioning awareness module, a GIS fusion module, an intelligent analysis module, a linkage execution module, and a visual feedback module. The positioning awareness module obtains positioning data of the personnel under control by a positioning terminal that integrates at least two positioning technologies, and sends the data to the GIS fusion module after data preprocessing. The GIS fusion module is configured to dynamically divide the early warning area based on GIS and electronic map technology, map the received positioning data to the electronic map, realize real-time labeling of the personnel position, and calculate the distance between the personnel and the boundary of the early warning area and send it to the intelligent analysis module. The intelligent analysis module is configured to monitor the spatial relationship between the personnel position and the early warning area in real time, trigger an early warning and generate a boundary crossing event sheet when the early warning condition is met, and send it to the linkage execution module. The linkage execution module is configured to trigger the corresponding camera, access control, and alarm device of the early warning area when an early warning signal is received, push the real-time image captured by the camera to the visual feedback module, trigger the access control to automatically lock, and trigger the alarm device to issue an alarm. The visual feedback module is configured to communicate with the GIS fusion module, the intelligent analysis module, and the linkage execution module, and display the electronic map, the early warning area, the personnel trajectory, the boundary crossing event sheet information, and the video monitoring information. 2.The personnel activity management and control and regional security and prevention system and method based on fusion positioning technology according to claim 1, characterized in that, The positioning terminal integrates two or more of GPS positioning, Bluetooth positioning, UWB positioning, and Wi-Fi fingerprint positioning, and automatically switches the positioning mode or superimposes the positioning mode for different scenarios. 3.The personnel activity management and control and regional security prevention system and method based on fusion positioning technology according to claim 1, characterized in that, The data preprocessing method is to clean the positioning data in real time, eliminate jump and repeated data, and correct the positioning error by Kalman filtering algorithm. 4.The personnel activity management and control and regional security prevention system and method based on fusion positioning technology according to claim 1, characterized in that, The method for dynamically dividing the early warning area based on GIS and electronic map technology is to develop a visual area editing tool based on GIS technology, which allows management personnel to draw and modify the allowed area and the early warning area on the electronic map, and set exclusive attributes for different areas, including area prevention and control level and boundary crossing response rules. 5.The personnel activity management and control and regional security prevention system and method based on fusion positioning technology according to claim 1, characterized in that, The method for triggering an early warning when the early warning condition is met is as follows: Determine whether the personnel are in the early warning area, if yes, trigger an early warning, otherwise, compare the distance between the personnel and the boundary of the early warning area with the distance threshold value, if the distance between the personnel and the boundary of the early warning area is less than the distance threshold value, and the duration exceeds the duration threshold value and does not meet the early warning exemption rules, compare the distance between the personnel and the boundary of the early warning area with the set early warning level rules to obtain the early warning level, and trigger an early warning according to the early warning level. 6.The personnel activity management and control and regional security prevention system and method based on fusion positioning technology according to claim 5, characterized in that, The method for calculating the distance between the personnel and the boundary of the early warning area is to calculate the distance from the personnel to the vertex of the early warning area and the perpendicular distance from the personnel to the edge of the early warning area, and take the smaller one as the distance between the personnel and the boundary of the early warning area. 7.The personnel activity management and control and regional security prevention system and method based on fusion positioning technology according to claim 5, characterized in that, The intelligent analysis module is configured to avoid false alarms, including one or more of the following methods: (1) Avoid false alarms caused by positioning data errors, including: Filtering abnormal points in the positioning data; Performing mean filtering on the last N1 positioning points to eliminate transient drift; Using dynamic sampling frequency to obtain positioning data according to the personnel's approach to / distance from the early warning area; N1 is a set numerical value; (2) Avoid misjudgment caused by unreasonable early warning condition setting, including: According to the shape of the early warning area, the distance threshold is relaxed or the sector area is exempted; Increase the time dimension check, trigger the early warning when N2 consecutive sampling points meet the distance condition, N2 is the set value; According to the risk level of the early warning area, dynamically adjust the duration threshold; Fine early warning exemption rules, including personnel and action combination exemption, personnel and equipment combination exemption, space-time superposition exemption; (3) Avoid misjudgment caused by environmental interference, including: Environment adaptive threshold, associate environmental sensor data, automatically expand distance threshold; Dynamic correction of early warning area boundary, real-time detection of obstacles around the early warning area through camera / laser radar, if there are temporary piles, automatically expand the early warning boundary outward by the width of the obstacle; Multi-modal verification, when it is determined that personnel approach the red zone, call the camera around the early warning area, confirm whether there are personnel in the area through target detection algorithm, trigger the early warning when both are consistent; Personnel state verification, determine whether the personnel are in a stationary state through the motion sensor of the wearable device, if the positioning shows close to the early warning area but the personnel are stationary, determine that the positioning is drifting; (4) Avoid misjudgment caused by early warning area boundary calculation error, early warning area overlap, distance calculation deviation, including: Verify the legality of the shape of the early warning area; When two or more early warning areas overlap, the early warning of the early warning area with the highest risk level is triggered first; if the risk levels are the same, take the closest early warning area as the basis for judgment; Historical data feedback optimization: record all early warning events, record the type and number of misjudgments, and adjust the early warning conditions according to the reasons for misjudgment.

8. A personnel activity management and control and regional security prevention method based on fusion positioning technology, characterized in that, Including: Control personnel carry at least a positioning terminal that integrates two positioning technologies, the positioning terminal real-time obtains personnel positioning data and performs data preprocessing; Map the preprocessed positioning data to an electronic map, the electronic map is pre-divided into early warning areas, real-time personnel position is calculated according to the positioning data and the distance between the personnel and the early warning area boundary; display the electronic map, early warning area and personnel trajectory; Monitor the spatial relationship between personnel position and early warning area, trigger early warning and generate boundary crossing event sheet when the early warning condition is met; According to the early warning signal, the corresponding camera, access control, alarm device of the early warning area are linked, the real-time picture collected by the camera, the boundary crossing event sheet information and the video monitoring information are displayed, the access control is automatically locked and / or the alarm device is triggered to issue an alarm.

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