Digitalized command evaluation system for tracking and searching operation of police dogs
Patent Information
- Application Number
- CN202610859736.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-15
- Publication Date
- 2026-09-04
AI Technical Summary
[0005]本发明的目的在于解决传统的警犬训练与实战指挥模式下,警犬作业过程中产生的多源异构数据难以被统一采集、融合并实时呈现,致使警犬作业难以形成数据驱动的科学化指挥与评估能力的问题
1、与现有技术相比,本发明设有以数字化定位监控脖圈、手持平板指挥终端、助训员手持终端、智能记录眼镜及环境监测传输仪构成的多端协同采集架构,并以专用数据系统平台为数据汇聚枢纽,将原本来源分散、模态异构、时空尺度不一的警犬位置与轨迹、生命体征、环境参数、第一视角视频以及助训员预设布线轨迹等多源数据进行实时采集、统一融合与同步呈现,使指挥员在远程即可同步掌握警犬的实时作业态势,解决了传统的警犬训练与实战指挥模式下多源异构数据难以被统一采集、融合并实时呈现的问题。
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Figure CN122694635A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of police intelligent device technology, and specifically discloses a digital command and evaluation system for police dog tracking and search operations. Background Technology
[0002] Police dog operations typically include scenarios such as border tracking, search and capture operations, and corresponding training. During police dog operations, various types of data are generated, including the police dog's location and tracking trajectory, vital signs such as the police dog's pulse, environmental parameters such as wind force, wind direction, temperature, humidity, and altitude at the operation site, first-person video footage from the police dog, wiring routes preset by the trainer, and markings left behind.
[0003] However, under the existing police dog training and combat command model, the above-mentioned various types of data cannot be uniformly collected, integrated, and presented to the command end in real time. Commanders find it difficult to remotely grasp the real-time operational status of police dogs. Whether the police dog's operation deviates from the trainer's preset track can only be judged by manual visual inspection. The review and evaluation after training can only rely on the trainer's subjective review. It is difficult to conduct objective quantitative analysis and traceable evaluation of the police dog's working stability under different environmental conditions. As a result, the entire police dog training and combat work has long remained at the level of relying on personal experience for judgment, making it difficult to form a data-driven scientific command and evaluation capability.
[0004] This invention provides a digital command and evaluation system for police dog tracking and search operations to solve the above-mentioned problems. Summary of the Invention
[0005] The purpose of this invention is to solve the problem that in the traditional police dog training and combat command model, the multi-source heterogeneous data generated during police dog operations is difficult to collect, integrate and present in real time, which makes it difficult for police dog operations to form a data-driven scientific command and evaluation capability.
[0006] To achieve the above objectives, the basic solution of the present invention provides a digital command and evaluation system for police dog tracking and search operations, including a digital positioning and monitoring collar, a handheld tablet command terminal, an assistant trainer's handheld terminal, smart recording glasses, an environmental monitoring transmitter, and a dedicated data system platform. The digital positioning and monitoring neck collar, the handheld tablet command terminal, the trainer's handheld terminal, the smart recording glasses, and the environmental monitoring transmitter are all connected to the dedicated data system platform. The digital positioning and monitoring collar is worn around the neck of the police dog to collect the dog's location and vital signs data. The assistant's handheld terminal is used to record the assistant's preset wiring trajectory and the data of the marking of the left-behind objects; The smart recording glasses are worn by the handler and are used to record the first-person view of the police dog's work in real time, and to overlay key work data onto the handler through augmented reality. The environmental monitoring transmitter is used to collect environmental parameters at the police dog's work site in real time. The handheld tablet command terminal is used to receive and integrate multi-source data uploaded by the digital positioning and monitoring neck collar, the assistant trainer's handheld terminal, the smart recording glasses, and the environmental monitoring transmitter, and to display the data visually through a graphical interface. The dedicated data system platform is used to aggregate, store, analyze, and score multi-source data from various devices.
[0007] Furthermore, the digital positioning and monitoring neck collar includes: The Beidou positioning module is used to collect the location data of police dogs in real time; A pulse monitoring sensor, which is a metal contact built into the inside of the collar, is used to collect the police dog's pulse data in real time. The wireless communication module is used to wirelessly transmit the collected police dog location data, police dog tracking route, search trajectory and pulse data back to the handheld tablet command terminal. In addition, there is a charging interface and a power management module.
[0008] Furthermore, the handheld tablet command terminal is a high-brightness touchscreen tablet that supports voice intercom functionality, and the handheld tablet command terminal itself has BeiDou positioning capability. The graphical interface of the handheld tablet command terminal simultaneously displays the following information: the wiring trajectory recorded by the assistant trainer's handheld terminal, the real-time location and tracking trajectory of the police dog collected by the digital positioning monitoring collar, the precise location of the abandoned object and related photos, the first-person perspective video of the police dog's operation transmitted by the smart recording glasses, the police dog's real-time pulse count and pulse curve, the on-site environmental parameters uploaded by the environmental monitoring transmitter, and the training scoring progress.
[0009] Furthermore, the assistant trainer's handheld terminal has a built-in task module, which is used for: When the trainer arrives at the starting point, the system is activated and begins recording the trainer's wiring trajectory, with the dedicated data system platform automatically synchronizing the time. When an assistant trainer leaves an object during the walk, the system automatically records the precise latitude and longitude of the location of the object and uploads the photograph taken. When the trainer reaches the end point, the system automatically records the end time of the wiring operation and prompts the trainer to set the trace delay time. It also automatically calculates and displays the total mileage and total time of this cabling operation.
[0010] Furthermore, the lenses of the smart recording glasses employ augmented reality optical display technology. The content superimposed on the lenses of the smart recording glasses includes: the real-time pulse count of the police dog collected by the digital positioning and monitoring collar, the wind direction, wind force, temperature and altitude data uploaded by the environmental monitoring transmitter, and the crosshair aiming point of the camera of the smart recording glasses.
[0011] Furthermore, the environmental monitoring transmitter includes a sensor group and a communication module. The sensor group is used to monitor instantaneous wind force, wind direction, temperature, altitude, and humidity in real time. The communication module supports wired and wireless modes. In wired mode, it connects to the handheld tablet command terminal via a Type-C data cable, and in wireless mode, it pairs with the handheld tablet command terminal via Bluetooth or Wi-Fi.
[0012] Furthermore, the dedicated data system platform includes a three-tiered database: A basic database is used to input and manage trainer information and police dog files; The training and combat database is used to store police dog pulse monitoring data, Beidou real-time map and start and end point markers, markers and photo prompts for abandoned items, assistant trainer's wiring trajectory, wiring mileage, start and end time and track delay time, police dog tracking trajectory and tracking time record, automatic voice warning record of track deviation, police dog real-time dynamic positioning information, footprint comparison data, training video and combat video recording data, and environmental monitoring data. The system evaluation database is used for retrospective analysis and adopts an incremental learning mechanism, in which each new training data is used to retrain the environment and behavior correlation analysis model.
[0013] Furthermore, the process of the dedicated data system platform for processing multi-source data includes, in sequence, a multi-source data acquisition layer, a data fusion and synchronization layer, a feature extraction and preprocessing layer, an intelligent analysis and decision-making layer, and a result output and visualization layer. The data fusion and synchronization layer is used to align the data streams uploaded by each device in time and space based on the millisecond-level unified timestamp and BeiDou geographic coordinates. At the same time, it binds the police dog's pulse count, location, tracking distance, on-site temperature, wind speed, assessment scoring criteria, and video clips into a data tuple, which serves as the basic data unit for subsequent analysis.
[0014] The principle and effect of this solution are as follows: 1. Compared with existing technologies, this invention features a multi-terminal collaborative acquisition architecture consisting of a digital positioning and monitoring collar, a handheld tablet command terminal, an assistant trainer's handheld terminal, smart recording glasses, and an environmental monitoring transmitter. It uses a dedicated data system platform as the data aggregation hub to collect, integrate, and synchronously present multi-source data, such as the location and trajectory of police dogs, vital signs, environmental parameters, first-person perspective videos, and assistant trainer's preset wiring trajectories, which are originally scattered, modally heterogeneous, and have different spatiotemporal scales. This allows commanders to remotely and synchronously grasp the real-time operational status of police dogs, solving the problem that multi-source heterogeneous data is difficult to collect, integrate, and present in real time under traditional police dog training and combat command modes.
[0015] 2. Compared with existing technologies, the dedicated data system platform of this invention is equipped with a layered data processing architecture consisting of a multi-source data acquisition layer, a data fusion and synchronization layer, a feature extraction and preprocessing layer, an intelligent analysis and decision-making layer, and a result output and visualization layer. Through algorithmic models such as automatic voice warning for track deviation, pulse change and stress analysis, trajectory overlay comparison and review, footprint comparison, automatic data scoring, and environmental and behavioral correlation analysis, the judgment process that originally relied on manual visual inspection and subjective review by trainers is transformed into an objective, quantitative, and traceable data-driven analysis process, forming a scientific command and evaluation capability for police dog training and combat work.
[0016] 3. Compared with the prior art, the dedicated data system platform of the present invention adopts a three-layer database architecture of basic database, training and combat database and system evaluation database, which respectively undertakes the storage and management of static context, dynamic data flow and review analysis results, and is supplemented by an incremental learning mechanism, so that the dedicated data system platform can continuously optimize its ability to predict and analyze the behavior patterns and work stability of police dogs in various training and combat scenarios as the number of uses increases. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 A diagram of the digital command and evaluation system for police dog tracking and search operations proposed in this application is shown. Detailed Implementation
[0019] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.
[0020] A digital command and evaluation system for police dog tracking and search operations is implemented, for example... Figure 1 As shown, it includes a digital positioning and monitoring neck collar, a handheld tablet command terminal, a trainer's handheld terminal, smart recording glasses, an environmental monitoring transmitter, and a dedicated data system platform.
[0021] Specifically, the digital positioning and monitoring neckband, handheld tablet command terminal, trainer handheld terminal, smart recording glasses, and environmental monitoring transmitter are all communicatively connected to a dedicated data system platform, and upload the data they collect to the platform in real time via a wireless network. The dedicated data system platform is embedded in each of these devices.
[0022] Furthermore, there are multiple sets of digital positioning and monitoring collars, which can be used in series and synchronously to meet the needs of multi-dog collaborative operations.
[0023] Digital positioning and monitoring collars are worn around the necks of police dogs to collect their location and vital signs data.
[0024] Specifically, the digital positioning and monitoring neckband adopts a rechargeable design and supports power on / off, including: The Beidou positioning module is used to collect the location data of police dogs in real time; Pulse monitoring sensors are used to collect pulse data from police dogs in real time; The wireless communication module is used to wirelessly transmit the collected police dog location data, police dog tracking route, search trajectory and pulse data back to the handheld tablet command terminal. The charging interface and power management module are equipped with a magnetic charging interface and a power button on the side of the neckband. Press and hold the power button for 3 seconds and the indicator light will flash to indicate that the device is turned on.
[0025] Furthermore, the pulse monitoring sensor is a metal contact built into the inside of the collar. The metal contact can collect pulse data simply by contacting the skin of the police dog's neck, without the need to shave the dog's neck.
[0026] Furthermore, the digital positioning and monitoring neck collar is waterproof, preventing rain and short-term immersion in shallow water.
[0027] In this embodiment, each digital positioning and monitoring collar has a unique number and can be renamed in the basic database of the dedicated data system platform. After powering on, the dedicated data system platform automatically identifies and displays them sequentially as Dog 01, Dog 02, etc.
[0028] The handheld tablet command terminal serves as the commander's control platform, used to receive and integrate multi-source data uploaded from digital positioning and monitoring neckbands, assistant trainer handheld terminals, smart recording glasses, and environmental monitoring transmitters, and to display the data visually through a graphical interface.
[0029] Specifically, the handheld tablet command terminal is a high-brightness touchscreen tablet, measuring 210mm × 148mm, and supports voice intercom functionality. The handheld tablet command terminal itself has BeiDou positioning capabilities.
[0030] Furthermore, after the handheld tablet command terminal is powered on, it automatically runs the application corresponding to the dedicated data system platform. When the digital positioning and monitoring collar, smart recording glasses, and environmental monitoring transmitter are powered on, the upper right corner of the handheld tablet command terminal screen displays a list of connected devices.
[0031] In this embodiment, the handheld tablet command terminal can simultaneously display the following information through its graphical interface: The wiring path of the training assistant is shown in green lines and green positioning points; The real-time location and tracking trajectory of the police dog are presented with red lines and red positioning points; Precise location of the remains and related photographs; The first-person perspective video of the police dog in operation transmitted back by the smart recording glasses; Real-time pulse rate and pulse curve of police dogs; On-site environmental parameters uploaded by the environmental monitoring transmitter; Training score progress.
[0032] The assistant's handheld terminal is used to standardize the assistant's wiring process and record the assistant's wiring data.
[0033] Specifically, the assistant's handheld terminal is about the same size as a regular mobile phone and has Beidou positioning, wireless data transmission, and high-definition photography capabilities.
[0034] Furthermore, the trainer's handheld terminal has a built-in task module, which supports the following operations: When the trainer arrives at the starting point, click "Start Cabling". The trainer's handheld terminal will then record the trainer's cabling trajectory, and the dedicated data system platform will automatically synchronize the time. When the trainer leaves behind an object during the walk, they can click to mark the object and take a photo. The trainer's handheld terminal will automatically record the precise latitude and longitude of the location of the object and upload the photo. When the trainer reaches the end point, click "End Wiring". The trainer's handheld terminal will automatically record the end time of this wiring and prompt the trainer to set the trace delay time. The assistant's handheld terminal automatically counts and displays the total mileage and total time of this cabling operation.
[0035] The smart recording glasses are worn by the handler to record first-person perspective footage of the police dog's work in real time, and key operational data are overlaid on the handler using augmented reality (AR).
[0036] Specifically, the smart recording glasses' camera features optical image stabilization. The lenses of the smart recording glasses utilize AR optical display technology.
[0037] Furthermore, the content overlaid on the lenses of the smart recording glasses includes: The top left corner displays the police dog's real-time pulse count; The upper right corner displays wind direction, wind speed, temperature, and altitude data uploaded by the environmental monitoring transmitter; The crosshair aiming point of the camera is displayed in the center of the screen.
[0038] In this embodiment, the first-person perspective video of the police dog captured by the smart recording glasses is transmitted in real time to a handheld tablet command terminal for storage via a wireless network.
[0039] The environmental monitoring transmitter is used to collect environmental parameters at the police dog's work site in real time and upload the collected environmental parameters to a handheld tablet command terminal.
[0040] Specifically, the environmental monitoring transmitter includes a sensor group and a communication module. The sensor group monitors instantaneous wind force, wind direction, temperature, altitude and humidity in real time.
[0041] Furthermore, the environmental monitoring transmitter supports the following two communication modes: In wired mode, the environmental monitoring transmitter connects to the handheld tablet command terminal via a Type-C data cable to export the collected environmental parameters to the handheld tablet command terminal. In wireless mode, the environmental monitoring transmitter pairs with the handheld tablet command terminal via Bluetooth or Wi-Fi to transmit the collected environmental parameters to the handheld tablet command terminal in real time.
[0042] A dedicated data system platform is used to aggregate, store, analyze, and score multi-source data from various devices.
[0043] Specifically, the dedicated data system platform includes a three-tiered database: The basic database is used to input and manage handler information and police dog files. The police dog files include the police dog's name, breed, age, handler, tracking or search type classification, and a photo of the police dog.
[0044] The training and combat database stores the following data: police dog pulse monitoring data, BeiDou real-time map and start / end point markers, markers and photo prompts for abandoned items, assistant trainer's wiring trajectory, wiring mileage, start and end times and track delay time, police dog tracking trajectory and tracking time records, automatic voice warning records for track deviation, police dog real-time dynamic positioning information, footprint comparison data, training video and combat video recording data, and environmental monitoring data.
[0045] Furthermore, footprint comparison data is generated and used in the following ways: First, use a handheld tablet command terminal, smart recording glasses, or a trainer's handheld terminal to photograph and collect evidence of the suspect's footprints at the first crime scene and store them in the training and combat database. When police dogs discover suspected or damaged footprints during tracking, they use a handheld tablet command terminal, smart recording glasses, or a trainer's handheld terminal to photograph the suspected footprints and upload them to the training and combat database. A dedicated data system platform then compares the footprints, and the comparison results provide guidance for police dog tracking and case investigation.
[0046] The system evaluation database is used for post-mortem analysis, which includes the following: Visually overlay and compare the trainer's preset track with the police dog's actual tracking track; It supports importing the national police dog rating and scoring rules for tracking dogs and search and capture dogs, and automatically performs data-driven scoring; By combining on-site environmental parameters, delay time, tracking distance, and mission success or failure dimensions, we analyze the pulse changes and psychological stress responses of police dogs at each stage of the operation. By accumulating big data, we can assess the behavioral patterns and operational stability of police dogs in various training and combat scenarios.
[0047] The following is the workflow of the digital command and evaluation system for police dog tracking and search operations provided in this embodiment. The workflow includes the following steps: Create a dedicated data system platform and embed it into digital positioning and monitoring neckbands, handheld tablet command terminals, assistant handheld terminals, smart recording glasses, and environmental monitoring transmitters.
[0048] The commander activates a handheld tablet command terminal, retrieves data from a dedicated data system platform, receives data uploaded by various devices, and performs visual command and review of the data uploaded by each device.
[0049] The police dogs wear digital positioning and monitoring collars, and the handlers wear smart recording glasses to collect the dogs' location data, pulse data, and first-person perspective videos of the dogs' operations.
[0050] An environmental monitoring transmitter is placed at the work site to collect data on wind force, wind direction, temperature, humidity, and altitude, and then uploads the collected data to a handheld tablet command terminal.
[0051] The assistant trainer uses a handheld terminal to lay cables within the work area. The assistant trainer's handheld terminal collects the cable laying trajectory and leftover markings, and uploads the collected data to the handheld tablet command terminal in real time.
[0052] The tracking is conducted by police dogs wearing digitally positioned and monitored collars, which collect the dogs' tracking trajectory. Simultaneously, a handler wearing smart recording glasses accompanies the police dog during the operation, and the smart recording glasses collect real-time pulse data and video recordings of the police dog during the tracking process.
[0053] The data collected in the above steps is uploaded in real time to a dedicated data system platform via a wireless network, where it is analyzed and scored. In real-world scenarios, the dedicated data system platform further performs real-time location tracking and footprint comparison of the police dogs' trajectories.
[0054] Furthermore, the wireless network includes one or more of BeiDou, 4G, private networks, and Bluetooth.
[0055] Furthermore, when the police dog's work area is in a no-signal area, the digital positioning and monitoring collar and smart recording glasses first store the collected data on a local SD card, and then automatically upload and complete it after returning to a networked area.
[0056] Furthermore, the process of processing multi-source data on a dedicated data system platform includes the following levels: Multi-source data acquisition layer: A dedicated data system platform collects the following data from various devices: Spatiotemporal data comes from digital positioning and monitoring collars, handheld tablet command terminals, assistant trainer handheld terminals, and environmental monitoring transmitters. The spatiotemporal data includes police dog positioning trajectories, commander positions, assistant trainer wiring traces, and the latitude and longitude of environmental collection points. The physiological data comes from the digital positioning and monitoring collar, and the physiological data is the dynamic data of the police dog's pulse; Image / video data comes from smart recording glasses and handheld tablet command terminals. The image / video data includes first-person perspective videos of police dog operations, photos of leftover items, photos of reference markers, and photos of suspect footprints. The structured input data comes from the trainer's input and includes basic information about the police dog, the national police dog rating scoring criteria and assessment standards, and the track delay time.
[0057] In the data fusion and synchronization layer, a dedicated data system platform uses millisecond-level unified timestamps and BeiDou geographic coordinates as a benchmark to align the data streams uploaded by each device in time and space.
[0058] Specifically, for the same moment, the dedicated data system platform binds the police dog's pulse count, location, tracking distance, on-site temperature, wind speed, assessment scoring criteria, and video clips into a data tuple, and uses the data tuple as the basic data unit for subsequent analysis.
[0059] The feature extraction and preprocessing layer, a dedicated data system platform, performs feature extraction and preprocessing on data tuples, specifically including: For filtering and noise reduction, a sliding window filter is used for the police dog pulse data to remove motion artifacts, and a Kalman filter is used for the police dog trajectory data to smooth out noise caused by signal drift. Feature engineering is used to calculate derived metrics from the raw data. These metrics include the police dog’s instantaneous velocity, acceleration, pulse variability, and distance from the track. The instantaneous velocity is calculated from the position difference between adjacent sampling points.
[0060] In the intelligent analysis and decision-making layer, the dedicated data system platform uses the following algorithm models to perform intelligent analysis on the preprocessed data: Automatic voice warnings are issued for deviations from the track. Specifically, the dedicated data system platform uses a point-to-line segment shortest distance algorithm to calculate in real time the vertical distance from the police dog's location point to the trainer's preset track.
[0061] Furthermore, the trainer presets the trajectory by... Line segments constitute ,in The line segment From the endpoint and Composition. Let the current location of the police dog be... Then the police dog's location point to the preset trace The shortest distance is: In the formula, For positioning points to line segment The vertical distance.
[0062] Furthermore, when continuous The shortest distance between sampling points When the distance exceeds 10 meters, the dedicated data system platform triggers a deviation event and pushes a voice warning to the handheld tablet command terminal via the TTS engine. At the same time, the smart recording glasses provide a synchronous prompt on their lenses.
[0063] Pulse variability and stress analysis: Specifically, a dedicated data system platform compares the police dog's real-time pulse data with its baseline heart rate and historical operational data, and uses the sliding interquartile range (IIR) method to detect abnormal pulse peaks. The police dog's baseline heart rate is 80 to 120 beats per minute.
[0064] Furthermore, the dedicated data system platform uses Pearson correlation coefficient analysis to analyze the impact of environmental parameters on police dog stress. Let the time-series data of the police dog's pulse be... The time series data of environmental parameters are Then the Pearson correlation coefficient between the two is: In the formula, for The pulse value of the police dog at any time. for Environmental parameter values at any given time For pulse timing data The mean, Time series data for environmental parameters The mean, The total number of sampling points. The closer the absolute value is to 1, the more significant the impact of the environmental parameter on the stress of the police dog.
[0065] Trajectory overlay comparison and review Specifically, the dedicated data system platform uses a curve similarity algorithm to overlay and compare the trainer's preset trajectory with the police dog's actual tracking trajectory.
[0066] Furthermore, the dedicated data system platform will assist trainers in pre-setting trajectory sequences. actual tracking sequence of police dogs Perform length normalization and calculate the Frescher distance between the two curves: In the formula, Pre-set the normalized curve of the trajectory for the trainer. The curve is the normalized result of the actual tracking trajectory of the police dog. and for A continuous non-decreasing surjective function The smaller the value, the more similar the two curves are.
[0067] Furthermore, the dedicated data system platform uses dynamic programming to find the optimal matching path and generates a visual heat map, where red areas represent the locations with the greatest deviation.
[0068] Footprint comparison involves a dedicated data system platform that preprocesses uploaded suspected footprint photos, including grayscale conversion, noise reduction, and enhancement.
[0069] Furthermore, the dedicated data system platform uses the SIFT feature extraction algorithm or the ORB feature extraction algorithm to extract key feature points from the preprocessed suspected footprint photos. The key feature points include the ridge endpoints and bifurcation points.
[0070] Furthermore, the dedicated data system platform matches the key feature points of suspected footprint photos with the suspect footprint features stored in the training and practical databases using Euclidean distance, and returns the candidate results with the highest similarity.
[0071] Automated data-driven scoring: Specifically, a dedicated data system platform transforms the relevant police dog rating scoring details into an XML rule base.
[0072] Furthermore, the dedicated data system platform automatically extracts parameters from the training and combat databases, including tracking time, number of deviations, and number of abandoned objects found. The extracted parameters are then compared with the XML rule base to deduct points, and finally the total score is calculated by weighting according to preset weights.
[0073] Furthermore, let the scoring metric generated in this training be... The corresponding preset weight is Therefore, the total score for this training session is: In the formula, For the first The score of each scoring indicator For the first The preset weights of the scoring indicators, and , This represents the total number of scoring indicators.
[0074] The analysis of the correlation between environment and behavior involves a dedicated data system platform that uses environmental parameters as feature variables and the working stability of police dogs as the target variable to train a regression model. Environmental parameters include temperature, humidity, and wind speed. Working stability is characterized by the number of deviations and the completion time.
[0075] Furthermore, the regression model is either a multiple linear regression model or a random forest model, and the regression model outputs the ranking results of feature importance.
[0076] The results output and visualization layer: The dedicated data system platform outputs the following results to the handheld tablet command terminal: overlay comparison chart, automatic scoring report, early warning signal and review animation.
[0077] The basic database provides static context for the intelligent analysis and decision-making layer, including the type classification of police dogs and the normal range of their pulse. The training and combat database provides dynamic data streams for the intelligent analysis and decision-making layer. The system evaluation database stores the output results of the intelligent analysis and decision-making layer.
[0078] Furthermore, the system evaluation database adopts an incremental learning mechanism: each new training data is used to retrain the environment and behavior correlation analysis model, so that the prediction and analysis capabilities of the dedicated data system platform are continuously optimized as the number of uses increases.
[0079] Taking a complete search and capture training exercise as an example, the specific application process of the system described in the above embodiments is further illustrated: During the preparation phase, the commander uses a handheld tablet command terminal to input the weather for the day, or connects the environmental monitoring transmitter to the handheld tablet command terminal to automatically acquire weather data.
[0080] The police dog was fitted with the digital positioning and monitoring collar, and its pulse was confirmed to be normal.
[0081] The instructor wore smart recording glasses and confirmed that the AR data displayed on the glasses was normal.
[0082] The training assistant, holding the handheld terminal, prepares to depart.
[0083] During the cabling phase, the assistant trainer walks to the work area and clicks "Start Cabling" on the assistant trainer's handheld terminal. During the walk, the assistant trainer places objects in hidden corners and clicks "Mark Objects" to take a picture. After reaching the destination, the assistant trainer clicks "End Cabling".
[0084] During the actual tracking process, the commander observed the generated wiring trajectory of the assistant trainer through a handheld tablet command terminal.
[0085] The commander gave the start order, and the handlers set off with the police dogs.
[0086] The commander observes the police dog's real-time location along the wiring path laid by the assistant trainer using a handheld tablet command terminal.
[0087] As the police dog approached the location of the lost item, the handheld tablet command terminal showed that the dog's pulse increased from 110 beats per minute to 160 beats per minute. The commander confirmed the dog's reaction to the lost item through the video transmitted back by the smart recording glasses.
[0088] When a police dog deviates more than 10 meters from the trainer's preset track, the handheld tablet command terminal issues a voice warning, and the commander inquires about the situation through the intercom function.
[0089] In the post-training analysis, after the training session, the commander opened the history records and selected this training session using a handheld tablet command terminal.
[0090] The dedicated data system platform overlays the trainer's preset track with the police dog's actual tracking track, showing the position where the police dog deviates from the track.
[0091] A dedicated data system platform displays the pulse curve of the police dog during this operation.
[0092] The dedicated data system platform combines the environmental data collected by the environmental monitoring transmitter to analyze the reasons why the police dog deviated from the track.
[0093] Based on this, a dedicated data system platform generates improvement suggestions for the next training session.
[0094] This invention employs a multi-terminal collaborative data acquisition architecture comprised of a digital positioning and monitoring collar, a handheld tablet command terminal, an assistant trainer's handheld terminal, smart recording glasses, and an environmental monitoring transmitter. Using a dedicated data system platform as the data aggregation hub, it enables real-time collection, unified fusion, and synchronous presentation of multi-source data—including police dog location and trajectory, vital signs, environmental parameters, first-person perspective video, and assistant trainer-preset wiring trajectories—that were originally scattered, modally heterogeneous, and varied in temporal and spatial scales. Furthermore, through a layered data processing architecture, it transforms the judgment process, which previously relied on manual visual inspection and trainer subjective review, into an objective, quantifiable, and traceable data-driven analysis process. This solves the problem in traditional police dog training and combat command models where the multi-source heterogeneous data generated during police dog operations is difficult to collect, fuse, and present in real time, hindering the formation of data-driven scientific command and evaluation capabilities for police dog operations.
[0095] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any indirect modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.
Claims
1. A digital command and evaluation system for police dog tracking and search operations, characterized in that: This includes a digital positioning and monitoring neck collar, a handheld tablet command terminal, a trainer's handheld terminal, smart recording glasses, an environmental monitoring transmitter, and a dedicated data system platform; The digital positioning and monitoring neck collar, the handheld tablet command terminal, the trainer's handheld terminal, the smart recording glasses, and the environmental monitoring transmitter are all connected to the dedicated data system platform. The digital positioning and monitoring collar is worn around the neck of the police dog to collect the dog's location and vital signs data. The assistant's handheld terminal is used to record the assistant's preset wiring trajectory and the data of the marking of the left-behind objects; The smart recording glasses are worn by the handler and are used to record the first-person view of the police dog's work in real time, and to overlay key work data onto the handler through augmented reality. The environmental monitoring transmitter is used to collect environmental parameters at the police dog's work site in real time. The handheld tablet command terminal is used to receive and integrate multi-source data uploaded by the digital positioning and monitoring neck collar, the assistant trainer's handheld terminal, the smart recording glasses, and the environmental monitoring transmitter, and to display the data visually through a graphical interface. The dedicated data system platform is used to aggregate, store, analyze, and score multi-source data from various devices.
2. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The digital positioning and monitoring collar includes: The Beidou positioning module is used to collect the location data of police dogs in real time; A pulse monitoring sensor, which is a metal contact built into the inside of the collar, is used to collect the police dog's pulse data in real time. The wireless communication module is used to wirelessly transmit the collected police dog location data, police dog tracking route, search trajectory and pulse data back to the handheld tablet command terminal. In addition, there is a charging interface and a power management module.
3. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The handheld tablet command terminal is a high-brightness touchscreen tablet that supports voice intercom functionality and has its own BeiDou positioning capability. The graphical interface of the handheld tablet command terminal simultaneously displays the following information: the wiring trajectory recorded by the assistant trainer's handheld terminal, the real-time location and tracking trajectory of the police dog collected by the digital positioning monitoring collar, the precise location of the abandoned object and related photos, the first-person perspective video of the police dog's operation transmitted by the smart recording glasses, the police dog's real-time pulse count and pulse curve, the on-site environmental parameters uploaded by the environmental monitoring transmitter, and the training scoring progress.
4. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The assistant trainer's handheld terminal has a built-in operation module, which is used for: When the trainer arrives at the starting point, the system is activated and begins recording the trainer's wiring trajectory, with the dedicated data system platform automatically synchronizing the time. When an assistant trainer leaves an object during the walk, the system automatically records the precise latitude and longitude of the location of the object and uploads the photograph taken. When the trainer reaches the end point, the system automatically records the end time of the wiring operation and prompts the trainer to set the trace delay time. It also automatically calculates and displays the total mileage and total time of this cabling operation.
5. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The lenses of the smart recording glasses use augmented reality optical display technology. The content superimposed on the lenses of the smart recording glasses includes: the real-time pulse count of the police dog collected by the digital positioning and monitoring collar, the wind direction, wind force, temperature and altitude data uploaded by the environmental monitoring transmitter, and the crosshair aiming point of the camera of the smart recording glasses.
6. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The environmental monitoring transmitter includes a sensor group and a communication module. The sensor group is used to monitor instantaneous wind force, wind direction, temperature, altitude and humidity in real time. The communication module supports wired and wireless modes. In wired mode, it connects to the handheld tablet command terminal via a Type-C data cable, and in wireless mode, it pairs with the handheld tablet command terminal via Bluetooth or Wi-Fi.
7. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The dedicated data system platform includes a three-tier database: A basic database is used to input and manage trainer information and police dog files; The training and combat database is used to store police dog pulse monitoring data, Beidou real-time map and start and end point markers, markers and photo prompts for abandoned items, assistant trainer's wiring trajectory, wiring mileage, start and end time and track delay time, police dog tracking trajectory and tracking time record, automatic voice warning record of track deviation, police dog real-time dynamic positioning information, footprint comparison data, training video and combat video recording data, and environmental monitoring data. The system evaluation database is used for retrospective analysis and adopts an incremental learning mechanism, in which each new training data is used to retrain the environment and behavior correlation analysis model.
8. The digital command and evaluation system for police dog tracking and search operations according to claim 1, characterized in that, The process of the dedicated data system platform in processing multi-source data includes, in sequence, a multi-source data acquisition layer, a data fusion and synchronization layer, a feature extraction and preprocessing layer, an intelligent analysis and decision-making layer, and a result output and visualization layer. The data fusion and synchronization layer is used to align the data streams uploaded by each device in time and space based on the millisecond-level unified timestamp and BeiDou geographic coordinates. At the same time, it binds the police dog's pulse count, location, tracking distance, on-site temperature, wind speed, assessment scoring criteria, and video clips into a data tuple, which serves as the basic data unit for subsequent analysis.