Digital intelligent work card collaborative management system

Abstract

The invention relates to the technical field of the Internet, in particular to a digital intelligent work card collaborative management system, which comprises a positioning and sign-in management module for carrying out personnel sign-in and attendance checking in combination with a geo-fence with dynamic offset exemption; the score dispatching module obtains task data, calculates an emergency degree coefficient through a weighted summation formula, is connected with a third-party system to obtain related data, calculates outdoor task environment complexity, path proficiency degree requirements and people flow influence coefficients, calculates a linear distance, task saturation and skill matching degree, and performs multi-layer filtering; calculating the scores of the filtered police officers through a scoring formula to generate a candidate police officer list; the state identification and interaction module is used for recording and changing the real-time state of the police officer; the track and task association module adjusts the sampling frequency according to the task state, and constructs an efficient patrol track template according to the jurisdiction and the alarm type. According to the scheme, the police service response speed and the resource allocation efficiency are improved by constructing a full-process intelligent collaborative system.

Description

Technical Field

[0001] This invention relates to the field of Internet technology, and in particular to a digital intelligent employee badge collaborative management system. Background Technology

[0002] With the advent of the information age and the continuous development of computer technology, promoting the deep integration of big data technology with police work to improve the data information management level of the police system, achieve precise dispatch of police forces, standardized trajectory management, and efficient execution of tasks, and serve the public's needs for security and the maintenance of long-term social stability, has become an inevitable trend in the development of police work. Currently, although positioning equipment and basic dispatch tools have been initially applied in police work, problems such as delayed response and unreasonable resource allocation still exist.

[0003] In existing technologies, the lack of deep integration between location control, police force allocation, status interaction and trajectory analysis leads to geofencing rules failing to dynamically adapt to the needs of police mobility, resulting in ineffective early warnings or blind spots in control. Task allocation fails to achieve precise matching between police force and scenarios, affecting response speed and handling effectiveness. Trajectory data is not transformed into standardized path templates and decision-making basis, making it difficult to support efficiency improvement and standardized assessment. Overall, this restricts the efficient and precise development of police work and fails to meet the practical needs of rapid response and scientific dispatch. Summary of the Invention

[0004] This invention constructs a fully intelligent collaborative system encompassing location and check-in, assignment, status identification and interaction, and trajectory and task association. This system enables precise police force scheduling, standardized trajectory management, and efficient task execution, thereby improving police response speed and resource allocation efficiency.

[0005] The technical solution proposed in this invention is: a digital intelligent employee badge collaborative management system, the system comprising: The location and check-in management module locates personnel and uses geofencing with dynamic offset exemption for personnel check-in and attendance. The assignment module acquires task data, calculates the urgency coefficient using a weighted summation formula, and connects with third-party systems to obtain relevant data to calculate the complexity of the outdoor task environment, path proficiency requirements, and pedestrian flow impact coefficient. The weights of the scoring formula are determined by the urgency coefficient, outdoor task environment complexity, path proficiency requirements, and pedestrian flow impact coefficient. The straight-line distance, task saturation, and skill matching degree are calculated. Police officers are filtered in multiple layers using the straight-line distance, task saturation, and skill matching degree. The scores of the filtered police officers are calculated using the scoring formula to generate a list of candidate police officers. The status identification and interaction module enables police officers to record and change their status in real time. After receiving a dispatch order, the police officers can change their status and update their status in real time through progress-level feedback. The trajectory and task association module adjusts the sampling frequency according to the task status, analyzes the trajectories of outstanding police officers through dynamic time warping algorithm, and constructs efficient patrol trajectory templates according to jurisdiction and crime type.

[0006] Preferably, the geofencing includes point fencing, line fencing, and area fencing, as detailed below: Point fences are suitable for fixed duty points, and the core parameter radius is adjusted according to the importance of the point; line fences are suitable for patrol route control, and core parameters and buffer widths are configured, patrol time periods are associated, and multiple routes are combined into a patrol network; area fences are suitable for the division of jurisdiction or key areas, and boundaries are defined by polygon vertex coordinates, buffer zones are set, and jurisdiction attributes are associated; corresponding fences are set with function labels and permission labels to distinguish the purpose of the fence.

[0007] Preferably, the specific details of the dynamic offset exemption are as follows: Offset exemption distance is determined based on straight-line distance; the offset exemption threshold for point fences. If a fence exceeds the designated area and fails to return within 10 minutes, a boundary violation warning will be triggered; if the fence remains within the exemption area, no warning will be triggered. Exemption thresholds for line fences and area fences. The offset exemption threshold is adjusted according to actual needs; every 30 seconds, the system calculates the straight-line distance between the police officer's position and the fence boundary using spatial coordinates, triggering a three-level response mechanism. For special terrain, the system combines digital elevation models to correct the straight-line distance.

[0008] Preferably, the specific process of the multi-layer filtration is as follows: Only police officers currently on duty are retained; based on the latitude and longitude of the mission location and the personnel's location, the straight-line distance is calculated, and police officers located within the geographical fence of the jurisdiction to which the mission belongs or within a straight-line distance of less than or equal to 1000 meters are selected; based on the job type, the mission saturation is calculated, and only police officers with a mission saturation of less than 80% are retained; based on the police skill matching degree formula, the skill matching degree is calculated, and only police officers with a skill matching degree of 100% for core skills are retained.

[0009] Preferably, the specific process for generating the candidate police officer list is as follows: The urgency coefficient is calculated using a weighted summation formula, the outdoor task environment complexity is calculated using an outdoor task environment complexity formula, the path proficiency requirement is calculated using a path proficiency requirement formula, and the crowd flow impact coefficient is calculated using a crowd flow impact coefficient formula. When the outdoor task environment complexity is greater than or equal to 3, the location weight is reduced to 0.25, the task saturation weight is reduced to 0.1, and the environment adaptability coefficient weight is increased to 0.2. When the crowd flow impact coefficient is greater than or equal to 3, the efficiency score weight is reduced to 0.2, the skill matching weight is increased to 0.25, and the environment adaptability coefficient weight is increased to 0.15. When the urgency coefficient is equal to 5, the scoring is skipped and the officer is directly assigned to the nearest officer with the corresponding emergency response skills, while surrounding police forces are simultaneously dispatched for support. When the urgency coefficient is 4, the location weight is reduced to 0.2, and the efficiency score weight is increased to 0.35. The score is calculated by inputting the straight-line distance, efficiency score, skill matching, task saturation, and environment adaptability coefficient into the scoring formula with determined weights. The system then generates a list of 3 candidate officers based on their scores from highest to lowest.

[0010] Preferably, the specific process of real-time status update for progress grading feedback is as follows: Upon receiving a report, police officers provide feedback via the physical buttons on their smart badges or the touchscreen of their police terminals. The three statuses—"departed," "arrived at the scene," and "processed"—represent first-level nodes, requiring timely reporting. Second-level nodes can be reported as needed. The command center dashboard displays the real-time progress distribution of all incidents, using colors to differentiate statuses. Incidents that haven't updated their status within 30 minutes are automatically highlighted in red. The system calculates the average time for each node in similar incidents based on historical data. When the current node's time exceeds 150% of the average, the system sends a warning to the command center, prompting intervention and supervision.

[0011] Preferably, when an abnormal situation occurs while police officers are performing the task of assigning points by the point allocation module, an emergency request for assistance will be initiated, as detailed below: Police officers can select the type of incident by using the emergency assistance button on their smart badges and leaving a voice message. Upon receiving the request, the management platform automatically prioritizes the task based on the incident level, filters out the nearest officers with matching skills and less than 50% task saturation, generates a support list, sends coordination instructions to the supporting officers, and switches the smart badge status to "coordinating emergency response," simultaneously pushing navigation routes. The original officers can view the real-time location and estimated arrival time of the supporting officers through their badges, while the command center monitors the support intercom channel throughout the process.

[0012] Preferably, the process for constructing the efficient patrol trajectory template is as follows: Collect historical trajectory data with an efficiency score of 4.8 or higher over the past 3 months, calculate the optimal matching path, evaluate trajectory similarity by cumulative distance, extract features from excellent trajectories with a similarity of 90% or higher, including road segment preference, time features, and obstacle avoidance, and construct an efficient patrol trajectory template based on the extracted features. The template includes the start point, end point, key nodes, and recommended speed. New excellent trajectory data are added weekly, and the template is updated by DTW matching.

[0013] The present invention also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement the aforementioned digital intelligent work badge collaborative management system.

[0014] The beneficial effects of this invention are: 1. The system precisely delineates duty areas using point, line, and area geofencing, combined with dynamic offset exemption rules (±50 meters for fixed posts, ±100 meters for mobile posts) to balance control precision and police mobility, avoiding invalid warnings caused by legitimate boundary crossings. An automated check-in mechanism (fence-triggered, QR code-based check-in) enables real-time attendance data collection, providing accurate data for police force status assessment. This mechanism reduces the cost of manual intervention and misjudgment, ensuring clear and traceable police on-duty status, directly improving the efficiency of police force screening before task assignment, and laying the foundation for rapid response.

[0015] 2. A quantitative assessment system is constructed based on urgency coefficients and environmental parameters (weather, traffic, pedestrian flow). Through multi-layered filtering (geofencing, status, skills) and a dynamic weighted scoring formula, police resources are accurately matched to achieve intelligent allocation based on "skill suitability, optimal distance, and compliant status." Emergency situations (E=5) are assigned within 30 seconds. Complex scenarios are automatically associated with tags such as "familiar back roads" and "high pedestrian flow handling," avoiding misallocation of police resources. This model reduces the subjectivity and lag of manual allocation, significantly improves the accuracy of matching police resources with tasks, shortens response time, and optimizes resource allocation.

[0016] 3. The system extracts excellent trajectory features using the Dynamic Time Warping (DTW) algorithm, generating standardized patrol templates and an optimal response route database. Combined with area complexity identification (duration of stay, number of turnarounds), it dynamically optimizes dispatch strategies. Full lifecycle management of trajectory data (dynamic sampling, compressed transmission, and debriefing analysis) provides objective evidence for law enforcement standardization assessments. New officers can quickly master efficient routes through template guidance, and the "1+N" dispatch model accurately allocates resources in highly complex areas. This system transforms experience into data assets, reducing the cost of repetitive exploration, improving route planning efficiency and the scientific nature of regional police deployment, and indirectly shortening the response cycle. Attached Figure Description

[0017] Figure 1The flowchart below illustrates a digital intelligent employee badge collaborative management system according to the present invention. Figure 2 This is a flowchart illustrating the task assignment process of a digital intelligent employee badge collaborative management system according to the present invention. Detailed Implementation

[0018] The following description is intended to disclose the present invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art. The basic principles of the invention defined in the following description can be applied to other embodiments, modifications, improvements, equivalents, and other technical solutions that do not depart from the spirit and scope of the invention.

[0019] It is understood that the term "a" should be understood as "at least one" or "one or more," that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple, and the term "a" should not be understood as a limitation on the number.

[0020] like Figure 1 and Figure 2 As shown, the digital intelligent employee badge collaborative management system includes a location and check-in management module, a task assignment module, a status identification and interaction module, and a trajectory and task association module. The location and check-in management module locates the real-time position of police officers and provides a check-in function to record their attendance. When the system receives a task, the task assignment module combines the real-time location of the police officer from the location and check-in management module with the real-time status of the police officer from the status identification and interaction module to assign the task. The status identification and interaction module records and updates the current status of the police officer in real time. The trajectory and task association module recommends the optimal route when assigning tasks and collects the actual trajectory of the police officer during task execution, optimizing the stored trajectory to improve attendance speed.

[0021] The location and check-in management module enables precise management of police officers' duty areas and on-duty status through geofencing rule configuration, dynamic offset exemption, and automated check-in mechanisms, providing basic spatial data support for subsequent task assignment and trajectory analysis. The module offers three types of check-in location settings: point fences, area fences, and line fences. Administrators can directly draw or import coordinate data using map tools. Point fences are suitable for fixed duty points (such as police stations), with the core parameter being the radius (R), a default of 200 meters (meaning the duty area is within a 200-meter radius of the point). This can be adjusted based on the importance of the location (e.g., setting the fence radius around key units to 300 meters). Line fences are suitable for patrol route control, with core parameters and buffer zone widths configured (50-100 meters on each side, meaning the patrol area extends 50-100 meters to each side of the patrol route as the central axis), associated with patrol time periods (e.g., the morning peak from 7:00-9:00 requires focused coverage), and support combining multiple routes into a patrol network. Area fencing is suitable for delineating jurisdictions or key areas. It defines boundaries using polygon vertex coordinates, sets buffer zones (extending 50-100 meters outward on each side), and associates with jurisdictional attributes (such as risk level). Nested fencing is supported (e.g., a commercial area area fencing nested within a key shop area fencing). All fencing configurations require an approval process to take effect. Once approved, they are automatically synchronized to the fencing database for use throughout the system.

[0022] The corresponding fences are equipped with relevant business tags, including function tags and permission tags. Function tags include, but are not limited to, "checkpoint duty," "night patrol zone," and "student escort zone," used to distinguish the purpose of the fence. Permission tags are associated with the duty permissions of police officers, such as "criminal investigation police exclusive fence" and "community police responsibility area fence," to ensure that police force deployment is in line with the division of responsibilities. Tag data is synchronized to the allocation module in real time via API interface, serving as an important basis for police force selection.

[0023] The location and check-in management module allows for the creation of temporary fences, which automatically expire. For example, temporary fences can be created during large events (such as concert venues), with start and end times set, and control automatically lifted upon expiration; restricted areas can be created in temporary scenarios such as construction zones. Fence changes trigger system notifications, sending "fence update reminders" and change details to associated officers.

[0024] Due to the mobile nature of police duties, an offset determination rule is employed when making duty assessments to balance control precision and execution flexibility. Tiered offset thresholds are set based on straight-line distance. The offset exemption distance is determined using straight-line distance as the benchmark, calculated by using spatial coordinates to determine the shortest straight-line distance between the officer's real-time position and the fence boundary. The offset exemption threshold is dynamically adjusted according to the task type. Offset exemption threshold for fixed-position tasks The meter measurement applies to fixed-point tasks such as police station duty and checkpoint duty. If an officer exceeds the designated area and fails to return within 10 minutes, a boundary violation warning is triggered. For example, if a police officer at a fixed post walks 55 meters outside the post to temporarily meet with members of the public, the system classifies this as a minor boundary violation and records it. The offset exemption threshold for mobile patrol tasks is also applicable. Temporary crossings are permitted for legitimate reasons such as traffic control or requests for assistance from the public. For example, if a patrol officer deviates 80 meters from their patrol route while rescuing a pedestrian on the roadside, this is within the exemption range and will not trigger a warning. Emergency response tasks will utilize a dynamic offset mode, automatically adjusting the threshold based on the progress of the response (e.g., a temporary exemption from offset restrictions will be granted for pursuit missions, and the distance crossed during the pursuit will not be constrained by a fixed threshold). Threshold parameters can be uniformly configured through the management backend, supporting differentiated settings based on jurisdiction and job type. For example, mobile patrols in commercial areas with high pedestrian traffic can have their thresholds relaxed to [a certain value]. rice.

[0025] Every 30 seconds, the system calculates the straight-line distance between the officer's position and the fence boundary using spatial coordinates, triggering a three-level response mechanism. A Level 1 warning occurs when the distance to the boundary is less than 50% of the threshold. The smart badge vibrates slightly to indicate "approaching boundary crossing," and the real-time straight-line distance to the boundary is displayed on the badge screen (e.g., "30 meters from the boundary, please return"). A Level 2 warning occurs when the straight-line distance to the boundary is ≤ the threshold and the crossing time is < 5 minutes. If the officer is handling a boundary dispute, seeking help from the public, or other reasonable reasons, the system only records the crossing trajectory without generating an alarm. A "Boundary Crossing Explanation" must be added via the police terminal within 24 hours afterward, linked to the dispatch record as supporting evidence. A Level 3 warning occurs when the straight-line distance to the boundary exceeds the threshold or the crossing time is ≥ 5 minutes without a reasonable reason. The smart badge vibrates continuously and flashes a red light, while simultaneously pushing a boundary crossing alarm to the command platform, displaying the officer's real-time location, the straight-line distance to the boundary (accurate to the meter), the crossing duration, and associated fence information. Command personnel can communicate the situation in real-time via the intercom system.

[0026] When police officers need to cross boundaries for work purposes, they can submit an exemption application through their smart badge. The application includes the "reason for crossing," "estimated duration of crossing," and "destination coordinates." It supports uploading photos of the scene (such as scenes of people seeking help or traffic accidents) as supporting evidence. The system automatically calculates the maximum straight-line distance for the requested crossing. The approval process is tiered according to urgency: regular applications are approved online by the local police chief within 5 minutes, generating a temporary exemption certificate that specifies the exemption period and the maximum allowed crossing distance. In emergency situations (E≥4), such as apprehending suspects or emergency rescues, the action can be taken first, with approval completed later. The system automatically records the crossing trajectory for post-incident verification. The approval result is synchronized to the positioning module in real time. Crossing warnings are suspended during the exemption period, and threshold monitoring automatically resumes after the exemption ends, ensuring that lawful duty performance is not interfered with.

[0027] For special terrains such as mountainous areas and waterways, the system combines a digital elevation model (DEM) to correct straight-line distance calculations (based on real-time latitude and longitude of personnel). , ), mission location ( , ), ,in, The altitude of the police officers' positions. The elevation of the fence boundary, The terrain coefficient is set at 1.2-1.5 for mountains, 1.8-2.0 for water bodies, and 1.0 for plains. When actual terrain obstructs passage (e.g., an officer is 50 meters away from the fence boundary but across a river), a terrain exemption can be manually applied for, and the effective threshold will be adjusted after approval. In areas where multiple fences overlap at the jurisdictional boundary, the system defaults to the "strictest threshold" for judgment. However, if an officer has already checked in within one fence and crosses into other fences in the overlapping area, the offset distance is calculated "from the original fence boundary" to avoid duplicate warnings.

[0028] Based on fence-triggered check-in, the system enables automatic collection of attendance data and business linkage. Check-in is automatically completed within 5 minutes of entering the fenced area, and automatic check-out is completed within 5 minutes of leaving the fence. Manual check-in can also be initiated manually via the "Check-in" button on the smart badge, suitable for check-in at temporary task locations. Key units display unique QR codes; officers scan the code to check in, and the associated unit information is archived. If automatic check-in is missed due to signal issues, the system automatically completes the check-in based on trajectory data (staying within the fenced area for ≥30 minutes), marking it as "System Check-in." Check-in data includes timestamps, location coordinates, and check-in method, ensuring the traceability of attendance records.

[0029] Tasks are obtained through two methods: manual entry and system integration. Administrators manually enter emergency or special task information, including the task type code, through the police command visualization interface. (e.g., 1 = criminal case, 2 = security patrol, 3 = emergency conflict, 4 = public service), and the latitude and longitude of the mission location ( , Accurate to 6 decimal places, supports map point selection and input, urgency level ( (1-5 points, 5 points is the highest level), required skill tag set ( ,like =Criminal investigation, =Negotiation expert). Through standardized API interfaces, it connects with third-party systems such as the park's fault reporting system and police command platform, automatically synchronizing task data. Data formats are converted according to preset templates (e.g., XML to JSON), ensuring accurate field mapping (e.g., the third-party "Event Level" field corresponds to the system's "Urgency Level Coefficient"). (”).

[0030] After the task location is entered, the system calls the geofencing database for matching. This is based on the latitude and longitude of the task location (…). , Calculate the spatial relationship with the preset fence area, and determine whether it is located within the fence (point fence), within the buffer zone (line fence), or within a polygonal area (area fence) using the ray casting method. Upon successful matching, automatically associate fence attributes: bind the fixed post task to the precise fence radius (…). =200 meters), Mobile post task binding offset exemption threshold ( =±100 meters), and generate the task execution area code ( This is used for subsequent allocation and screening.

[0031] The urgency coefficient is calculated using a weighted summation formula: ; in: The urgency level is indicated (1-5 points, rounded to the nearest integer). Risk levels are categorized as follows: (1-5 points: No personnel safety risk, estimated property damage less than 1000 yuan, no impact on system operation, such as minor equipment damage, 1 point); Low personnel safety risk (only minor scratches possible), estimated property damage 1000-5000 yuan, slight impact on system operation but not affecting core functions, such as ordinary office equipment malfunction, 2 points); Medium personnel safety risk (may cause minor injuries), estimated property damage 5000-20000 yuan, some impact on system operation, some non-core functions restricted, such as unstable power supply in ordinary areas, 3 points); High personnel safety risk (may cause serious injuries), estimated property damage 20000-100000 yuan, significant impact on system operation, some core functions restricted, such as major equipment failure potentially causing regional functional paralysis, 4 points); Extremely high personnel safety risk (may cause death), estimated property damage exceeding 100000 yuan, serious impact on system operation, core functions completely restricted, such as high-voltage equipment failure potentially causing fire, explosion, etc., 5 points). The scope of impact is scored from 1 to 5 points: 1 point for tasks affecting fewer than 10 people and covering an area of ​​less than 50 square meters (e.g., within a single office); 2 points for tasks affecting 10-50 people and covering an area of ​​50-200 square meters (e.g., within a small office area or work group); 3 points for tasks affecting 50-200 people and covering an area of ​​200-1000 square meters (e.g., within a medium-sized work area or departmental jurisdiction); 4 points for tasks affecting 200-1000 people and covering an area of ​​1000-5000 square meters (e.g., within a large industrial park or important public area); and 5 points for tasks affecting more than 1000 people and covering an area of ​​more than 5000 square meters (e.g., within an entire industrial park, a large commercial district, or along a main urban road). Time sensitivity is rated from 1 to 5 points. A delay of more than 24 hours with no obvious adverse consequences and no clear time limit, such as routine equipment maintenance, is rated 1 point. A delay of 12-24 hours may have a minor impact and has a lenient time limit, such as minor non-urgent equipment repairs, is rated 2 points. A delay of 4-12 hours significantly amplifies the impact and has a moderate time limit, such as routine facility repairs, is rated 3 points. A delay of 1-4 hours will cause serious consequences and has a strict time limit, such as site inspections before important events, is rated 4 points. A delay of less than 1 hour may lead to serious consequences and requires immediate response, such as emergency safety incident rescue missions, is rated 5 points. This is a rounding function.

[0032] Connect to meteorological APIs, traffic monitoring systems, and pedestrian flow statistics platforms to obtain the following environmental parameters in real time: Weather condition parameters ( ): 1 = Sunny, 2 = Light rain, 3 = Heavy rain, 4 = Strong wind (corresponding to the impact level of outdoor tasks); Traffic congestion index ( ): 0-10, 10 indicates severe congestion; Area population density ( (): The unit is people per square meter, and the statistics are divided by region.

[0033] The environmental impact factor is calculated using a formula. The formula for calculating the environmental complexity of outdoor tasks is: ; in: The complexity of the outdoor environment (1-5 points). These are weather condition parameters (1-4). The traffic congestion index (0-10). When... When the environment is complex, priority should be given to assigning tasks to indoor personnel.

[0034] The formula for calculating path proficiency requirements is: ; in: The required level of path proficiency is 1-4. This is the floor function. When At that time, it automatically associates the "priority given to those familiar with side streets" tag, and The higher the value, the greater the weight given to the "Local Path Proficiency" skill tag when assigning points.

[0035] The formula for calculating the impact coefficient of pedestrian flow is: ; in: Impact coefficient on human flow (1-5 points). This represents the population density of the area (people per square meter). When... At that time, the task was marked with the tag "High-traffic area, requires experienced personnel".

[0036] After receiving a task, the system determines its priority based on the task's urgency coefficient. Set a response time limit for task assignment, where the urgency level is determined. Tasks with a score of 5 must complete the assignment within 30 seconds. Tasks with a score of 4 must complete the assignment within 1 minute. =3 points must be distributed within 3 minutes. =2 must be assigned within 5 minutes. =1. Assignment must be completed within 10 minutes to ensure rapid task response. Environmental data is automatically updated every 5 minutes. , or If the change is greater than or equal to 1, the task tag will be dynamically adjusted and synchronized to the assignment system to ensure that the environment adaptation strategy takes effect in real time. For tasks that have been assigned but not yet started, the suitability of the executors can be reassessed. If the current executors do not meet the skill or route requirements of the new environment, the system can trigger a second assignment to coordinate more suitable personnel to take over. For tasks that are already being executed, the priority adjustment can be synchronized to the executors' smart badges, reminding them to pay attention to environmental changes (such as needing to take precautions when the rain intensifies or needing to adjust routes due to traffic congestion). At the same time, the management platform can allocate additional resources based on the new priority to ensure the safe and efficient completion of the task. For example, if the rain suddenly intensifies, leading to... When the rating changes from 2 to 4, the system immediately upgrades the "complex environment" label for outdoor emergency repair tasks. If the repair personnel have not yet set off, the task can be reassigned to personnel carrying rain gear; if they are already en route, the system can send out evacuation warnings and coordinate with nearby personnel to provide support with spare tools.

[0037] The real-time latitude and longitude of personnel are obtained through the location and check-in management module (GPS, Bluetooth, or Wi-Fi location). , ), calculation and task location ( , (straight-line distance) The accuracy is down to the meter level. The skill tags adopt a three-level skill tag structure, including core law enforcement skills (such as "criminal investigation qualification", "emergency response certification", "weapon use qualification"), auxiliary policing skills (such as "drone patrol", "foreign language communication", "video analysis"), and scenario experience (such as "security for large-scale events", "handling of mass incidents", "duty in severe weather"). Each tag is associated with a proficiency score (1-5 points, 5 points is proficiency).

[0038] Perform task saturation calculate: ; The maximum number of police incidents that can be handled is set according to the type of post (e.g., 2 patrol officers, 1 criminal investigation officer, and 3 general policing officers). 50% are marked as "available for dispatch", 50% 80% are marked as "cautious order placement". ≥80% are marked as "unassignable". The comprehensive police post is responsible for light and highly concurrent police tasks such as basic community patrols, simple dispute mediation, and convenient service guidance. Because the types of tasks are relatively simple, the time consumption is short, and most of them are scattered within the jurisdiction, the maximum number of tasks it can carry is set to 3, which can handle basic police matters in different areas at the same time.

[0039] Statistics on the average response time for similar police incidents over the past three months ( On-time completion rate ), public satisfaction ( ), forming an effectiveness score : ; The system records officers' historical performance in different environments, such as "number of calls during heavy rain," "experience on duty in large commercial areas," and "police incident handling rate at transportation hubs," generating an environment adaptability coefficient (1-5 points). Officers with extensive experience in harsh environments have a higher coefficient. The system synchronizes current status (on duty / standby / on duty / offline) via smart badges and links it to the online status of the police terminal, ensuring the validity of the status when dispatching officers and avoiding dispatching them to standby or offline officers.

[0040] The system employs a multi-layered filtering and weighted sorting intelligent matching logic for police scenarios to achieve precise matching of incidents with officers. It filters officers located within the geofence of the jurisdiction where the incident occurred (within 200 meters of fixed duty points, with an exemption of ±50 meters for patrol routes) or those closest to the officer. Officers within 1000 meters (excluding those crossing jurisdictional boundaries and not in a support role, except in special emergency situations) will be retained. Only those with a status of "on duty" will be retained. 80% of police officers, excluding those on standby, offline, or at high alert levels, are prioritized for deployment in their primary jurisdictions. Qualified officers are selected using a policing skills matching formula. ; in: For skill matching, The required number of law enforcement skills for matching. The required number of law enforcement skills must be filled in for police situations. %. (Core law enforcement skills must match, such as "weapon use qualification" for gun-related incidents). Auxiliary skills matching is calculated similarly, and the matching rate must be ≥60%.

[0041] The filtered police officers are then given a multi-dimensional weighted score, using the following formula: ; in: For rating, The maximum dispatch distance is set according to the type of incident, such as 1000 meters for emergency incidents and 3000 meters for regular incidents. Environmental adaptability coefficient (standardized from 1-5 points). Scoring. The higher the score, the better the match between the officer and the incident, and the higher the priority for dispatching officers. During severe weather, adjust the weighting distribution, reducing the location weight to 0.25, the task saturation weight to 0.1, and increasing the environment adaptability coefficient weight to 0.2. ).when (In densely populated areas) the weighting will be adjusted, reducing the effectiveness score weight to 0.2, increasing the skill matching weight to 0.25 and the environmental adaptability coefficient weight to 0.15, and strengthening the priority of the "large-scale event security" tag matching. For serious incidents with E=5 (such as violent crimes or mass incidents), the scoring and ranking process is skipped, and the incident is directly assigned to the nearest officer (D≤500 meters) who possesses the corresponding emergency response skills, while simultaneously dispatching nearby police support. For incidents with E=4 (such as traffic accidents or disputes), the weighting is adjusted, reducing the location weight to 0.2 and increasing the efficiency score weight to 0.35, prioritizing the selection of officers. Police officers with a score of ≥4 for efficient handling ( ).

[0042] Environmental adaptability coefficient Determined based on historical data. A score of 5 is awarded for handling ≥50 incidents in 3 or more complex environments (e.g., heavy rain + large events, mountainous areas + nighttime), with an average satisfaction score ≥4.8 and no mission delays due to environmental factors. A score of 4 is awarded for handling ≥30 incidents in 2 complex environments, with an average satisfaction score ≥4.5 and a delay rate <5% due to environmental factors. A score of 3 is awarded for handling ≥20 incidents in general environments (e.g., ordinary weather, urban roads), with an average satisfaction score ≥4.0 and no major environmental adaptation errors. A score of 2 is awarded for less than 10 complex environment handling experiences, or ≥3 support requests due to environmental judgment errors. A score of 1 is awarded for lack of experience in special environments, or a score <60 in environmental adaptation-related assessments. Environmental Adaptability Coefficient This is not a fixed value; the system automatically updates it monthly based on newly added police data. If an officer performs exceptionally well in new complex environment tasks (e.g., satisfaction with incidents in severe weather increases by ≥10%), the environment adaptability coefficient will increase. Increase by 0.5-1 point. If task delays occur due to insufficient environmental adaptability (e.g., delays exceeding 30% in mountainous areas due to unfamiliarity with routes), the environmental adaptability coefficient will be adjusted. Lowered by 0.5-1 point. Initial environment fit coefficient for newly recruited police officers. The default score is 3 points, which will be gradually adjusted based on the accumulation of practical experience.

[0043] Police duties are assigned based on the full-link police response mechanism. The system is categorized by rating. A list of three candidate officers is generated from highest to lowest priority. Dispatch instructions are sent sequentially via police digital radio and smart badges. The first officer to confirm receipt via radio or badge becomes the final dispatcher (if no confirmation is received within 30 seconds, the order is automatically skipped, and the order is moved down; for emergency situations, this time is shortened to 10 seconds). The dispatch instruction includes core information such as the incident number, location, brief case description, urgency level, and a list of required equipment (e.g., walkie-talkie, body camera, protective gear), and is simultaneously pushed to the police terminal map interface. After an officer confirms receipt, the smart badge status immediately switches to "On Dispatch" (red light constantly on + intermittent vibration), and a status update message is sent to the command center platform. The platform updates the incident handling dashboard in real time, marking the starting point of the dispatch trajectory. The system broadcasts "Initial Dispatch" information to other officers in the same jurisdiction, including the incident location and the dispatcher's call sign, to avoid duplicate dispatches and to alert nearby officers to prepare for support. Smart badge: Notifies the officer of an emergency call via three consecutive vibrations followed by five flashing red lights. After confirmation, the red light remains constantly lit until the emergency report indicates "handled." Police terminal: Pushes an emergency call pop-up window accompanied by a high-frequency alert tone, and displays the optimal dispatch route (in conjunction with...). (Avoiding congested areas and prioritizing patrol routes), automatically linking to the locations of nearby surveillance cameras. Command Center Platform: After successful dispatch, an incident tracking card is generated, displaying the real-time location of the officer and estimated arrival time (calculated based on historical dispatch speed and real-time traffic conditions), and simultaneously retrieving nearby surveillance footage. If the dispatch is not confirmed within 1 minute (30 seconds for emergency incidents), the system automatically triggers a second dispatch, expanding the candidate pool to officers in adjacent jurisdictions, and simultaneously sends a missed call warning to the command center. If the dispatched officer's status is abnormal (e.g., terminal offline, requesting backup), the backup officer list is immediately activated, and backup instructions are automatically sent to the two nearest officers to ensure uninterrupted incident handling.

[0044] The smart badge has several function keys, allowing police officers to provide feedback via the physical buttons on the badge or the touchscreen of the police terminal. Three statuses—"Departed" (initial feedback after receiving the call), "Arrived at the scene" (after arriving at the location of the incident), and "Resolved" (the incident has been handled)—are primary nodes that must be reported promptly. Each node's trigger timestamp is automatically recorded, forming a processing timeline. Secondary nodes can be reported selectively, such as the "Mediating" and "Reaching a Settlement" nodes in dispute-related incidents, and the "Scene Protection," "Injured Personnel Assistance," and "Liability Determination" nodes in accident-related incidents. Each node is associated with standardized handling guidelines (e.g., the "Scene Protection" node automatically pushes key points for evidence preservation).

[0045] The command center dashboard displays the real-time progress distribution of all incidents, using colors to distinguish status (blue = dispatched, yellow = in progress, green = completed, red = no progress after timeout). Incidents that haven't updated their progress for 30 minutes are automatically highlighted in red. The system calculates the average time for each stage of similar incidents based on historical data. When the current stage's time exceeds 150% of the average, the system sends an alert to the command center, prompting intervention and supervision. For example, in handling mass incidents, if the "on-site control" stage fails to complete within the timeout period, a reminder from the commander is automatically triggered.

[0046] For major public safety incidents (such as searching for missing persons or requesting assistance with lost items), the police platform will send a progress SMS to the person who reported the incident (such as "Police officers have arrived at the scene and are conducting a search"), and provide an entry point for checking the progress to improve police transparency.

[0047] A closed-loop mechanism of "self-feedback - system analysis - collaborative support" has been established to quickly respond to various abnormal situations during mission execution. Officers can select the type of abnormality by pressing and holding the "Abnormal Assistance" button on their smart badges (triggered by a 3-second press) in conjunction with voice messaging. For example, in the skills support category, options include "requires criminal investigation technical support" and "requires forensic medical personnel to be present" (automatically associated with corresponding professional police force tags); in the complex environment category, options include "excessive crowd at the scene" and "sudden weather changes affecting handling" (automatically retrieves real-time environmental data for verification); in the resource shortage category, options include "requires additional police personnel" and "requires equipment support (such as warning tape, breaching tools)"; and in other emergency categories, options include "encountering violent resistance to law enforcement" and "injury to oneself" (directly triggering the highest level of support).

[0048] Upon receiving an abnormal request, the management platform must complete the following operations within 10 seconds: Automatically increase task priority based on anomaly level (e.g., "Encountering violent resistance" rises from E=4 to E=5); filter by proximity (D≤800 meters) and skill matching. ≥90%) and task saturation 50% of the police officers generate a support list; send a collaborative instruction containing "original incident number, anomaly description, and meeting point" to the supporting officers, and the smart badge status switches to "collaborating on dispatch" (orange light flashing), and pushes navigation routes simultaneously.

[0049] Original police officers can view the real-time location and estimated arrival time of supporting police forces through their work badges. The command center can monitor the support intercom channel throughout the process. After the anomaly is handled, the system automatically generates an "Anomaly Support Record Form", which includes data such as response time and support effect evaluation, and is incorporated into the police officer performance score.

[0050] Establish a full lifecycle management system for trajectory data. Positioning frequency is adaptively adjusted: 5 minutes / time for routine patrols, switching to 30 seconds / time after receiving an alarm, increasing to 10 seconds / time upon arrival at the scene (ensuring complete trajectories for critical actions), and reverting to 5 minutes / time after mission completion. A differential compression algorithm (existing technology, not detailed here) is employed, with real-time uploads over 4G / 5G networks. A 16GB local cache is activated in weak network conditions (signal strength < -90dBm), and data is re-uploaded according to timestamps after network recovery, ensuring trajectory gaps do not exceed 1 minute.

[0051] The Dynamic Time Warping (DTW) algorithm analyzes the response trajectories of outstanding officers, extracting optimal path features from "receiving a call to arriving at the scene" (such as avoiding construction zones and utilizing back streets and alleys) to create standardized route templates. These templates are automatically pushed to new officers receiving calls. By overlaying trajectory data with incident incidence rates, areas exhibiting repeated instances of long response times and circuitous routes are marked as "high-complexity incident areas," and experienced officers are prioritized for assignment. Police officers with a score of ≥4.5 are responsible for reviewing and verifying the routes of key incidents such as dispute mediation and mass incidents to determine whether they arrived at the designated routes and whether they fully covered the handling area, providing objective evidence for the standardization of law enforcement assessment.

[0052] Let the standard trajectory of an outstanding police officer be a sequence. ( (latitude and longitude coordinates), the trajectory of the police officers to be analyzed is a sequence. Calculate the optimal matching path ,in, The distance is the Euclidean distance between two points. This is determined by accumulating the distance. Evaluate trajectory similarity. (Regarding similarity...) ( , Feature extraction is performed on the best trajectories (to maximize the possible distance), including road segment preference (statistical analysis of the usage rate of back streets and alleys that avoid main roads, such as the "XX Road-XX Alley" combination route, which has a usage rate of 78% in commercial area police incidents), time characteristics (prioritizing "non-motorized vehicle lanes and pedestrian" connecting routes during the morning peak (7:00-9:00), saving an average of 8 minutes), and obstacle avoidance (automatically marking construction sections, long-term congestion points, and other obstacle areas, and generating obstacle avoidance coefficients). , To avoid the number of successful attempts, For the total number of obstacles encountered, the best trajectory is... The standardized template includes the starting point (alarm reception point), the ending point (scene), key nodes (3-5 must-pass points), and recommended speed (marked by road segment). New excellent trajectory data is added weekly, and the template is updated through DTW matching to ensure its timeliness. The template version number is named "YYYYMMDD + jurisdiction code". When a new police officer receives an alarm, the system automatically matches the best template for similar alarms in their jurisdiction.

[0053] Each month, the DTW algorithm is used to compare the matching degree between the trajectory of new police officers and the template, generating a progress curve. ,in, This represents the monthly average matching score. As the initial matching degree, This represents the standard template matching degree. When... They must be able to identify and master the skills required for responding to emergencies in the area.

[0054] Trajectory data is transmitted using AES-256 encryption, and the storage period is tiered according to the type of incident: general incidents are retained for 3 months, major incidents are retained for 1 year, and trajectory data involved in case investigations are permanently archived and only authorized for access by criminal investigation and supervision departments to ensure compliant use of data.

[0055] The Dynamic Time Warping (DTW) algorithm was used to analyze historical police dispatch data to identify outstanding patrol officers (performance scores). Based on historical data (≥4.8 points), features such as "patrols on key road sections during high-crime periods" and "patrols in back streets and alleys" are extracted to generate an "efficient patrol trajectory template." This template includes three key patrol periods each day (e.g., morning peak 7:00-9:00, evening peak 17:00-19:00, and nighttime 22:00-24:00) and five essential locations (e.g., entrances to commercial areas, areas around schools). The template matching formula is: ; in: For matching degree, The length of the road segment where the police officer's trajectory overlaps with the template. Total template length. Match score. The officers were marked as highly efficient patrol specialists.

[0056] Based on the "receiving a call - arriving at the scene" trajectory, the "optimal dispatch route database" for each jurisdiction is selected, and back streets and alleys with fewer traffic lights and easy access are marked. For example, in the old city, the "motorcycle police + walking" combination route is given priority, which shortens the arrival time by an average of 12 minutes compared to the traditional route.

[0057] Establish a model linking trajectory characteristics with the difficulty of incidents. When the trajectory data of an incident in a certain area meets the criteria of "stay time > twice the average of similar incidents" and "number of turns ≥ 3," the system automatically marks it as a "highly complex incident area," such as large commercial districts or old residential areas, and generates area feature tags (such as "densely populated and prone to congestion" and "complex terrain and difficult to locate"). By overlaying and analyzing trajectory data with Skynet surveillance and population data, if a highly complex area is also accompanied by "surveillance blind spot ratio > 30%" and "floating population density > 500 people / square kilometer," then governance suggestions such as "adding mobile surveillance" and "strengthening community-based prevention and control" are pushed to the local command center.

[0058] The priority ranking of dispatching police officers is optimized based on trajectory analysis results. When dispatching similar incidents, priority is given to those with "highly efficient trajectory template matching." Officers with a response rate of ≥80% and a historical response time < regional average will be prioritized for assignment to community police officers familiar with the area, such as those handling disputes around schools. When newly recruited officers receive a call, the system will automatically provide them with "track navigation guidance" for the corresponding area, including the optimal route and important notes (such as detours due to road construction), reducing the adaptation cost for new officers.

[0059] For "highly complex crime areas," a "1+N" dispatch model is implemented, consisting of one primary responding police officer and N auxiliary officers (such as patrol assistants). The value of N is dynamically adjusted based on the complexity of the area (N=1 for regular areas and N=2-3 for highly complex areas). Combining terrain features in the dispatch trajectory, the system automatically associates "off-road vehicle + mountaineering equipment" with the crime situation in mountainous areas, and recommends "walkie-talkie + enhanced battery life version of body camera" with the crime situation at large event venues.

[0060] The parameters of the iterative weighted scoring formula are based on the analysis results. (Regarding "...") "≥90% of highly efficient patrol personnel" will have their effectiveness score weight increased to 0.3 (baseline value 0.25) in similar patrol missions. When assigning police incidents in highly complex areas, the skill matching weight will be increased from 0.2 to 0.25, strengthening the matching priority of tags such as "handling mass incidents" and "mediating complex disputes".

[0061] Utilizing OTA (Over-The-Air) wireless update technology, optimized dispatch rules and trajectory templates are automatically synchronized to smart badge terminals and the command platform weekly. The synchronization process does not affect normal dispatching, ensuring that the new strategy takes effect within 48 hours. A rule effectiveness evaluation dashboard is established to monitor changes in police response time and public satisfaction under the new rules in real time. If a rule increases response time by more than 5%, the rule rollback mechanism is automatically triggered.

[0062] Through a fully intelligent policing mechanism encompassing "multi-source data fusion and dispatch, status-based linkage and collaboration, and trajectory analysis and optimization," three core value enhancements are achieved. Precise dispatch reduces the average response time for incidents from 12 minutes to 8 minutes, and the arrival time for emergency incidents (E=5) is reduced by 40%. In scenarios such as security for large events, trajectory templates guide patrols, reducing repetitive patrols by 35%. Skill matching accuracy is improved to 98%, the number of requests for support in complex incidents is reduced by 25%, public satisfaction rises from 82% to 95%, and the success rate of on-site mediation for dispute-related incidents increases by 18%. Dynamic saturation management reduces police manpower idleness by 20%, the "1+N" dispatch model in highly complex areas reduces manpower waste by 30%, and on-demand equipment allocation increases the utilization rate of law enforcement equipment by 40%. A multi-level anomaly response mechanism reduces the average arrival time for support to 5 minutes, increases the speed of police mobilization in emergencies such as violent resistance to law enforcement by 50%, and enhances the safety and security capabilities of police officers. Visual dashboards based on trajectory data provide data support for police deployment and patrol route planning in the jurisdiction, resulting in a 22% month-on-month decrease in police incidents in high-crime areas. Trajectory playback verification has increased the compliance rate of law enforcement procedures to 99%, and shortened the independent response time for novice police officers from 3 months to 1 month, significantly improving the efficiency of talent training.

[0063] For example, a task is received at a specific time and location, with details stating that a dispute and conflict occurred in the pedestrian street of the XX commercial district in the old city, involving pushing and shoving. The administrator manually enters the task information through the police command visualization interface: Task Type Code. (Security patrol type), mission location latitude and longitude , Initial determination of urgency (Medium urgency), required skill tag set .

[0064] The system synchronizes with the police command platform via a standardized API interface and automatically calls the geofence database for matching. Using ray casting, the location is determined to be within the geofence of the old town's commercial district (range of polygon vertex coordinates). Matching result: Associated fence attribute: Mobile post task offset exemption threshold rice; Generate task execution area code (Task No. 15 of the commercial area fence of Police Station No. 2, XX Branch); Fence function label: "Commercial Pedestrian Street Patrol Zone", permission label: "Community Police Responsibility Zone".

[0065] Risk level (Moderate personnel safety risk, potentially causing minor injuries), scope of impact (Affecting 50-200 people, geographical area 200-1000 square meters), time sensitivity (A delay of 4-12 hours in processing significantly amplifies the impact). The urgency level was determined to be Level 3, with a response time limit of 3 minutes.

[0066] It connects to meteorological, traffic, and pedestrian flow systems to obtain real-time data. Weather condition parameters. (Sunny), Traffic Congestion Index (Moderate congestion), regional population density Persons per square meter. Outdoor environment complexity. (Rounded to 1; values ​​less than 3 are not marked as complex environments). Path proficiency requirements. ( 2. Associate with the "Priority given to those familiar with side streets" tag. (Population impact coefficient) ( 3. Mark "High-traffic areas, experienced personnel required").

[0067] Data was retrieved from three on-duty police officers in the vicinity of the business district: Officer ID: 010201, Real-time Location: , Skill tags: Dispute mediation (5), Crowd control (4), Current number of police incidents on duty: 1, Maximum capacity: 2, Efficiency score 4.2, Environmental Adaptability Coefficient : 4.5; Police Officer ID: 010208, Real-time Location: , Skill tags: Dispute mediation (3), Crowd control (5), Current number of police incidents on duty: 2, Maximum capacity: 2, Efficiency score 3.8, Environmental Adaptability Coefficient : 3.2; Police Officer ID: 010215, Real-time Location: , Skill tags: Dispute mediation (4), Crowd control (4), Current number of police incidents on duty: 0, Maximum capacity: 2, Efficiency score 4.6, Environmental Adaptability Coefficient :4.0.

[0068] Calculate the distance to the task point: rice( 1000 meters). rice, All meters meet the criteria. Status filtering: (Please be cautious when assigning orders) (Orders cannot be assigned and will be removed). (Orders can be dispatched). Skill filtering: , All met the standards.

[0069] because The weighting formula for densely populated areas is adopted. Maximum dispatch distance Mi, Police Officer 010201: Police officer 010215: .

[0070] The system generates a candidate list based on scores, police officer 010215 ( The first priority is to send a dispatch order via smart badge. The order includes the incident number J202508120915, the location XX commercial district pedestrian street, the urgency level 3, and the requirement to carry a body camera and police tape. After 10 seconds, officer 010215 confirms acceptance of the order via badge, and the status changes to "On Duty" (red light is always on).

[0071] Upon receiving an alarm, the location frequency switches to once every 30 seconds, increasing to once every 10 seconds after arriving at the scene. A differential compression algorithm is used, compressing each trajectory data point to 65 bytes, which is then uploaded in real-time via a 4G network.

[0072] Real-time progress feedback: 9:17 Police officers report "Departed" (Level 1 node); 9:19 Report "Arrived at the scene", the system records the arrival time, which is 2 minutes ahead of the regional average; 9:22 Report "Adjusting in progress" (Level 2 node), automatically pushes evidence fixation guidance; 9:35 Report "Processing completed", generates a handling summary.

[0073] The mission was executed smoothly without triggering any emergency calls. The command center dashboard updated its status in real time (blue → yellow → green). Through DTW algorithm comparison, the officer's trajectory matched the "commercial district dispute handling template" to a certain degree. (The overlapping section is 480 meters. The total template length is 520 meters). The response time was 20 minutes, a 20% reduction compared to the regional average of 25 minutes. Public satisfaction rating was 4.8, and the efficiency rating was updated. .

[0074] The skill matching rate for this allocation was 100%, the response time was 4 minutes (≤3 minutes standard), and the public satisfaction rate was 96%. Based on this data, the system updated the allocation rules via OTA. ≥90% of police officers saw their performance rating weight increase to 0.22 in similar tasks. Monthly statistics show that after police incidents in this business district were assigned through the system, the average handling time decreased from 28 minutes to 22 minutes, and the on-site mediation success rate increased from 65% to 82%.

[0075] The implementation process disclosed in this invention can be implemented as a computer software program. An embodiment of this invention includes a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), it performs the functions defined in the methods of this application. It should be noted that the computer-readable medium described above in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more conductor segments, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless segments, wire segments, optical cables, RF, etc., or any suitable combination thereof.

[0076] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0077] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The purpose of the present invention has been fully and effectively achieved. The functions and structural principles of the present invention have been shown and explained in the embodiments. Without departing from the stated principles, the implementation of the present invention may have any variations or modifications.

Claims

1. A digital intelligent employee badge collaborative management system, characterized in that, The system includes: The location and check-in management module locates personnel and uses geofencing with dynamic offset exemption for personnel check-in and attendance. The assignment module acquires task data, calculates the urgency coefficient using a weighted summation formula, and connects with third-party systems to obtain relevant data to calculate the complexity of the outdoor task environment, path proficiency requirements, and pedestrian flow impact coefficient. The weights of the scoring formula are determined by the urgency coefficient, outdoor task environment complexity, path proficiency requirements, and pedestrian flow impact coefficient. The straight-line distance, task saturation, and skill matching degree are calculated. Police officers are filtered in multiple layers using the straight-line distance, task saturation, and skill matching degree. The scores of the filtered police officers are calculated using the scoring formula to generate a list of candidate police officers. The status identification and interaction module enables police officers to record and change their status in real time. After receiving a dispatch order, the police officers can change their status and update their status in real time through progress-level feedback. The trajectory and task association module adjusts the sampling frequency according to the task status, analyzes the trajectories of outstanding police officers through dynamic time warping algorithm, and constructs efficient patrol trajectory templates according to jurisdiction and crime type.

2. The digital intelligent employee badge collaborative management system according to claim 1, characterized in that, The geofencing includes point fences, line fences, and area fences, as detailed below: Point fences are suitable for fixed duty points, and the core parameter radius can be adjusted according to the importance of the point; line fences are suitable for patrol route control, and core parameters and buffer zone width can be configured, patrol time periods can be associated, and multiple routes can be combined into a patrol network. Area fences are suitable for dividing jurisdictions or key areas. They define boundaries by polygon vertex coordinates, set buffer zones, and associate jurisdiction attributes. The corresponding fences are equipped with functional labels and permission labels to distinguish the purpose of the fence.

3. The digital intelligent employee badge collaborative management system according to claim 2, characterized in that, The specific details of the dynamic offset exemption are as follows: Offset exemption distance is determined based on straight-line distance; the offset exemption threshold for point fences. If a meter is outside the designated range and the meter is not returned for 10 minutes, a boundary crossing warning will be triggered. If the meter is within the exemption range, no warning will be triggered. Offset exemption thresholds for line fences and area fences The offset exemption threshold is adjusted according to actual needs; every 30 seconds, the system calculates the straight-line distance between the police officer's position and the fence boundary using spatial coordinates, triggering a three-level response mechanism. For special terrain, the system combines digital elevation models to correct the straight-line distance.

4. The digital intelligent employee badge collaborative management system according to claim 3, characterized in that, The specific process of the multi-layer filtration is as follows: Only retain police officers who are on duty; calculate the straight-line distance based on the latitude and longitude of the mission location and the personnel's location, and select police officers who are located within the geographical fence of the jurisdiction to which the mission belongs or within a straight-line distance of less than or equal to 1000 meters; calculate the mission saturation based on the job type, and only retain police officers whose mission saturation is less than 80%; The skill matching degree is calculated using a police skill matching degree formula, and only police officers with a 100% skill matching degree for core skills are retained.

5. The digital intelligent employee badge collaborative management system according to claim 4, characterized in that, The specific process for generating the candidate police officer list is as follows: The urgency coefficient is calculated using a weighted summation formula; the environmental complexity of the outdoor task is calculated using an outdoor task environmental complexity formula; the path proficiency requirement is calculated using a path proficiency requirement formula; and the pedestrian flow impact coefficient is calculated using a pedestrian flow impact coefficient formula. When the environmental complexity of an outdoor task is greater than or equal to 3, reduce the location weight to 0.25, the task saturation weight to 0.1, and increase the environmental adaptability coefficient weight to 0.

2. When the pedestrian flow impact coefficient is greater than or equal to 3, the efficiency score weight is reduced to 0.2, the skill matching weight is increased to 0.25, and the environmental adaptability coefficient weight is increased to 0.

15. When the urgency coefficient is equal to 5, the scoring sorting is skipped and the officer is directly assigned to the nearest officer with the corresponding emergency response skills, and surrounding police forces are dispatched simultaneously for support. When the urgency coefficient is 4, the location weight is reduced to 0.2 and the efficiency score weight is increased to 0.

35. The scoring formula is calculated by inputting straight-line distance, efficiency score, skill matching, task saturation, and environmental adaptability coefficient into the weights. The system generates a list of 3 candidate officers from high to low scores.

6. The digital intelligent employee badge collaborative management system according to claim 5, characterized in that, The specific process of real-time status update based on progress grading feedback is as follows: Upon receiving a report, police officers provide feedback via the physical buttons on their smart badges or the touchscreen of their police terminals. The three statuses—"departed," "arrived at the scene," and "processed"—represent first-level nodes, requiring timely reporting. Second-level nodes can be reported as needed. The command center dashboard displays the real-time progress distribution of all incidents, using colors to differentiate statuses. Incidents that haven't updated their status within 30 minutes are automatically highlighted in red. The system calculates the average time for each node in similar incidents based on historical data. When the current node's time exceeds 150% of the average, the system sends a warning to the command center, prompting intervention and supervision.

7. The digital intelligent employee badge collaborative management system according to claim 6, characterized in that, When police officers encounter an abnormal situation while performing the task of assigning points using the aforementioned point allocation module, they should request assistance, as detailed below: Police officers can select the type of incident by using the emergency assistance button on their smart badge and leaving a voice message. After receiving the incident request, the management platform will automatically prioritize the task according to the incident level, filter the nearest police officers with matching skills and less than 50% task saturation, generate a support list, send coordination instructions to the supporting officers, and switch the smart badge status to "coordinating police response" while simultaneously pushing navigation routes. Police officers can check the real-time location and estimated arrival time of support officers through their work badges, while the command center monitors the support officers' walkie-talkie channels throughout the process.

8. The digital intelligent employee badge collaborative management system according to claim 7, characterized in that, The process for constructing the efficient patrol trajectory template is as follows: Collect historical trajectory data with an efficiency score of 4.8 or higher over the past 3 months, calculate the optimal matching path, evaluate trajectory similarity by cumulative distance, extract features from excellent trajectories with a similarity of 90% or higher, including road segment preference, time features, and obstacle avoidance, and construct an efficient patrol trajectory template based on the extracted features. The template includes the start point, end point, key nodes, and recommended speed. New excellent trajectory data are added weekly, and the template is updated by DTW matching.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that is executed by a processor to implement a digital intelligent work badge collaborative management system as described in any one of claims 1-8.

Images