A firearm positioner wireless charging method, system and charging cradle

By using RFID tag binding and dual-sensor verification mechanisms, combined with structured data flow and adaptive control algorithms, the problems of missing identification and rigid on-site detection in gun locator charging equipment have been solved, achieving more precise gun management and improved security.

CN121036367BActive Publication Date: 2026-04-14SHENZHEN JUNHAI SICHUANG TECH DEV CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-10-29
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Existing gun locator charging equipment lacks identification and status association mechanisms, resulting in chaotic charging data, lack of remote monitoring and control, and traditional in-situ detection is easily interfered with, creating management blind spots and security risks.

Method used

By adopting RFID tag binding and dual sensor verification mechanism, combined with structured data flow and remote command closed-loop design, the unique binding between the charging gun number and the charging status is achieved. The charging control command is dynamically generated through adaptive control algorithm, and the wireless charging mode is automatically switched to wired charging mode when wireless charging fails.

Benefits of technology

Accurately identify firearms, improve management accuracy, build a closed-loop data system for the entire lifecycle, avoid the risk of running out of power, and ensure that firearms are always available.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a gun positioner wireless charging method and system and a charging seat, relates to the technical field of public safety intelligent equipment, and realizes real-time and synchronous acquisition of charging seat sensor array data and charging process parameter data; according to an in-place monitoring signal, an RFID induction circuit reads data of an RFID label built in a positioner, data binding is completed in combination with a preset gun number database, and a real-time gun number-charging state binding result is generated; the binding result and the charging process parameter data are constructed into structured charging state data flow and transmitted to a remote server to generate a remote instruction; and based on the remote instruction, a charging control instruction is dynamically generated through an adaptive control algorithm. The application realizes unique binding of a gun number and a charging state through RFID label binding and a double sensor, eliminates data mismatch caused by position change, compares pressure and infrared signals to verify that the positioner is in place, solves the problems of missing identity recognition and rigid in-place detection, and improves the accuracy of gun management.
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Description

Technical Field

[0001] This invention relates to the field of intelligent equipment technology for public safety, specifically to a wireless charging method, system, and charging base for a gun locator. Background Technology

[0002] With the advancement of intelligent construction in the public safety sector, gun management systems are gradually developing towards digitalization and dynamism. As a core device for real-time gun tracking and status monitoring, the gun locator's battery life and management efficiency directly impact the reliability of the overall security system. However, there is a significant technological gap in the current market for dedicated charging equipment for gun locators. General-purpose wireless charging products are insufficient to meet the specific security requirements of gun management, posing numerous risks and hidden dangers to daily gun maintenance.

[0003] In practical firearms management scenarios, precise management of the charging process is crucial to ensuring the firearms are always ready for use. Existing technological solutions have significant limitations: universal wireless chargers only have basic charging functions and cannot identify or associate the charging target with its status, leading to a chaotic relationship between firearms and charging data; the lack of remote monitoring and control mechanisms means that managers cannot monitor charging progress and equipment status in real time, making it difficult to respond to emergencies; traditional gun cabinets rely on mechanical pressure triggers or fixed-position sensors for on-site detection, and any changes in the firearm's storage location or human interference with the sensor status cause distortion of the on-site data, severely affecting management accuracy.

[0004] The specific defects of existing technology are as follows:

[0005] Lack of identification: Ordinary wireless chargers do not have a dedicated identification module and cannot accurately match the gun number with the charging data. Changes in location will cause the data association to fail.

[0006] Remote management gap: No data transmission and control channel has been established, making it impossible to remotely start / stop the charging process, monitor parameters, and provide early warnings of abnormalities.

[0007] In-situ detection rigidity: mechanically triggered sensors that rely on fixed positions have poor adaptability to changes in storage location and are easily affected by human operation interference, resulting in false alarms;

[0008] Data loop broken: Charging parameters and firearm identification information do not form a structured data flow, making it impossible to incorporate them into the firearm management system for full lifecycle traceability.

[0009] These technical flaws create management blind spots in the charging process of gun locators, which may lead to safety hazards such as device failure due to low power, misidentification, and loss of control. Summary of the Invention

[0010] The purpose of this invention is to provide a wireless charging method, system, and charging base for a gun locator to address the shortcomings in the prior art.

[0011] To achieve the above objectives, the present invention provides the following technical solution: a wireless charging method for a gun locator, comprising:

[0012] Real-time synchronous acquisition of charging dock sensor array data and charging process parameter data; the sensor array data includes in-situ monitoring signals from the bottom pressure / infrared sensor, and the charging process parameter data includes charging current, battery temperature, wireless charger temperature, and ambient temperature and humidity;

[0013] Based on the in-situ monitoring signal, the RFID sensing circuit is triggered to read the RFID tag data built into the locator, and the data is bound based on the preset gun number database to generate a real-time gun number-charging status binding result.

[0014] The binding result and the charging process parameter data are constructed into a structured charging status data stream, which is then transmitted to a remote server to generate remote instructions.

[0015] Based on the remote command, charging control commands are dynamically generated through an adaptive control algorithm;

[0016] When the wireless charging function of the locator is detected to be malfunctioning, the wired charging mode will be automatically activated.

[0017] The binding result, the charging status data stream, and the charging control commands are displayed in real time on an LCD screen.

[0018] In a preferred embodiment, the real-time synchronous acquisition of the charging process parameter data is achieved through a current sensor, a battery temperature sensor, a wireless charger temperature sensor, and an ambient temperature and humidity sensor built into the charging dock.

[0019] In a preferred embodiment, the data binding based on a preset gun number database specifically involves two-way verification binding, including:

[0020] Verify that the gun number corresponding to the RFID tag data exists in the preset database. If it does not exist, trigger the buzzer alarm and display an illegal tag on the LCD screen.

[0021] By comparing the pressure value of the bottom pressure sensor with the obstruction signal of the infrared sensor, the actual position of the locator is confirmed to be consistent with the RFID tag identification result. If they are inconsistent, an abnormal position is marked and uploaded to the remote server along with the structured charging status data stream.

[0022] In a preferred embodiment, the dynamic generation of the adaptive control algorithm specifically includes:

[0023] After receiving instructions generated by the remote server based on the structured charging status data stream, emergency instructions are responded to first.

[0024] When the remote command is not explicit, the algorithm automatically combines the charging process parameter data to make a judgment.

[0025] In a preferred embodiment, the automatic activation of the wired charging mode specifically includes:

[0026] The data processing unit sends a signal to the wired port while simultaneously cutting off the power to the wireless charging transmitter circuit.

[0027] The LCD screen switches between displaying the wired charging mode and the current charging current;

[0028] If the charging current remains below 0.1A for 3 minutes in wired charging mode, an intermittent alarm will be triggered by the buzzer, and the charging fault information will be written into the structured charging status data stream and retransmitted to the remote server.

[0029] In a preferred embodiment, the charging status data stream in the real-time display content of the LCD screen is presented in tabular form, including the charging gun number, charging current, battery temperature, wireless charger temperature, ambient temperature and humidity, and remote command reception status.

[0030] Abnormal status indicators are color-coded and support touch operation to retrieve the charging parameter curve of the gun number in the past 24 hours. At the same time, the local emergency stop function can be manually triggered, and the operation command will be uploaded to the remote server synchronously after being triggered.

[0031] The present invention also provides a wireless charging method system for a gun locator, comprising:

[0032] Sensor module: Used for real-time synchronous acquisition of in-situ monitoring signals and charging process parameter data;

[0033] RFID sensing module: used to trigger the reading of data from the locator's built-in RFID tag when the sensor module outputs a valid presence monitoring signal;

[0034] Data processing module: used to construct a structured charging status data stream by binding the gun number and charging status with the charging process parameter data;

[0035] Communication module: used to transmit structured charging status data streams to a remote server and receive remote commands generated by the remote server;

[0036] Control module: Used to dynamically generate charging control commands based on remote instructions, and control the working mode of the charging module;

[0037] Charging module: can switch working modes according to charging control commands;

[0038] Display alarm module: used to display binding results, charging status data stream, charging control commands, and trigger alarms when abnormalities occur;

[0039] Storage module: used to cache the structured charging status data stream and historical alarm records for the past 30 days, and supports export to the local host computer.

[0040] In a preferred embodiment, a charging dock includes a central control system for implementing a wireless charging method for a gun locator as described in any one of the above embodiments.

[0041] In a preferred embodiment, the charging base further includes a base body shell and a base cover plate. The base body shell forms a receiving cavity for installing an RFID sensing circuit board, a wireless charging and control motherboard, and a buzzer. The base cover plate covers the bottom of the receiving cavity, and the pressure sensor is embedded on the upper surface of the base cover plate, corresponding to the locator placement area.

[0042] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0043] By using RFID tag binding and a dual-sensor two-way verification mechanism, on the one hand, a unique binding relationship between the gun number and the charging status is established based on a pre-set gun number database, eliminating the problem of charging data mismatch caused by changes in the storage location of the guns at the source; on the other hand, by comparing the pressure value of the bottom pressure sensor with the obstruction signal of the infrared sensor, the actual location status of the locator is accurately verified. If an illegal RFID tag is detected, the system will immediately trigger a buzzer alarm; if the location status is found to be inconsistent with the tag identification result, the abnormal information will be uploaded to a remote server simultaneously, completely solving the pain points of lack of identity recognition and rigid location detection in existing technologies, and significantly improving the accuracy of gun management.

[0044] Through a structured data flow and remote command closed-loop design, the system first integrates core parameters such as gun serial number, charging current, battery temperature, wireless charger temperature, and ambient temperature and humidity into a structured charging status data flow, which is then transmitted to a remote server in real time. This allows administrators to remotely monitor the equipment's operating status and issue commands such as emergency shutdown or current reduction protection. Simultaneously, the storage module can cache nearly 30 days of structured data and support export to a local host computer. This data can be seamlessly integrated into the gun management system, constructing a closed-loop data system covering the entire lifecycle from charging start-up to status traceability. This effectively addresses the shortcomings of existing technologies in remote management and data traceability.

[0045] By adopting a redundant charging mode and a visualized operation and maintenance solution, when the system detects a continuous abnormality in the wireless charging current, it will automatically cut off the wireless charging power and switch to wired charging mode. If the charging current is still abnormal in wired mode, the system will trigger an intermittent alarm by the buzzer and write the fault information into the data stream and upload it to the server, thus fundamentally avoiding the risk of the locator running out of power due to charging failure. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0047] Figure 1 This is a flowchart of the method of the present invention.

[0048] Figure 2 This is a system block diagram of the present invention.

[0049] Figure 3 This is an exploded structural diagram of the charging base of the present invention.

[0050] Figure 4 This is a circuit functional block diagram of the charging dock of the present invention.

[0051] Figure 5 This is a functional block diagram of the charging system of the present invention.

[0052] Legend:

[0053] 1. Base main body shell; 2. RFID sensing circuit board; 3. LCD screen; 4. Pressure sensor; 5. Wireless charging and control motherboard; 6. Buzzer; 7. Base cover plate. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] Example 1, please refer to Figure 1 As shown in this embodiment, a wireless charging method for a gun locator includes:

[0056] S1. Real-time synchronous acquisition of charging dock sensor array data and charging process parameter data; the sensor array data includes the in-situ monitoring signal of the bottom pressure / infrared sensor, and the charging process parameter data includes charging current, battery temperature, wireless charger temperature, and ambient temperature and humidity;

[0057] S2. Based on the in-situ monitoring signal, trigger the RFID sensing circuit to read the RFID tag data built into the locator, and bind the data based on the preset gun number database to generate a real-time gun number-charging status binding result.

[0058] S3. The binding result and the charging process parameter data are constructed into a structured charging status data stream, which is then transmitted to a remote server to generate a remote command.

[0059] S4. Based on the remote command, dynamically generate charging control commands through an adaptive control algorithm;

[0060] S5. When the wireless charging function of the locator is detected to be malfunctioning, the wired charging mode will be automatically activated.

[0061] S6. Display the binding result, the charging status data stream, and the charging control commands in real time via an LCD screen.

[0062] As described in S1-S6 above, with the advancement of intelligent construction in the public safety sector, gun management systems are gradually developing towards digitalization and dynamism. As the core device for real-time gun tracking and status monitoring, the gun locator's battery life and management efficiency directly affect the reliability of the overall security system. However, there is a significant technological gap in the current market for dedicated charging equipment for gun locators, and general-purpose wireless charging products are insufficient to meet the specific security needs of gun management, posing numerous risks and hidden dangers to daily gun maintenance.

[0063] In practical firearms management scenarios, precise management of the charging process is crucial to ensuring the firearms are always ready for use. Existing technological solutions have significant limitations: universal wireless chargers only have basic charging functions and cannot identify or associate the charging target with its status, leading to a chaotic relationship between firearms and charging data; the lack of remote monitoring and control mechanisms means that managers cannot monitor charging progress and equipment status in real time, making it difficult to respond to emergencies; traditional gun cabinets rely on mechanical pressure triggers or fixed-position sensors for on-site detection, and any changes in the firearm's storage location or human interference with the sensor status cause distortion of the on-site data, severely affecting management accuracy.

[0064] By using RFID tag binding and a dual-sensor two-way verification mechanism, on the one hand, a unique binding relationship between the gun number and the charging status is established based on a pre-set gun number database, eliminating the problem of charging data mismatch caused by changes in the storage location of the guns at the source; on the other hand, by comparing the pressure value of the bottom pressure sensor with the obstruction signal of the infrared sensor, the actual location status of the locator is accurately verified. If an illegal RFID tag is detected, the system will immediately trigger a buzzer alarm; if the location status is found to be inconsistent with the tag identification result, the abnormal information will be uploaded to a remote server simultaneously, completely solving the pain points of lack of identity recognition and rigid location detection in existing technologies, and significantly improving the accuracy of gun management.

[0065] Through a structured data flow and remote command closed-loop design, the system first integrates core parameters such as gun serial number, charging current, battery temperature, wireless charger temperature, and ambient temperature and humidity into a structured charging status data flow, which is then transmitted to a remote server in real time. This allows administrators to remotely monitor the equipment's operating status and issue commands such as emergency shutdown or current reduction protection. Simultaneously, the storage module can cache nearly 30 days of structured data and support export to a local host computer. This data can be seamlessly integrated into the gun management system, constructing a closed-loop data system covering the entire lifecycle from charging start-up to status traceability. This effectively addresses the shortcomings of existing technologies in remote management and data traceability.

[0066] By adopting a redundant charging mode and a visualized operation and maintenance solution, when the system detects a continuous abnormality in the wireless charging current, it will automatically cut off the wireless charging power and switch to wired charging mode. If the charging current is still abnormal in wired mode, the system will trigger an intermittent alarm by the buzzer and write the fault information into the data stream and upload it to the server, thus fundamentally avoiding the risk of the locator running out of power due to charging failure.

[0067] In one embodiment, in step S1, the real-time synchronous acquisition of the charging process parameter data is achieved through the current sensor, battery temperature sensor, wireless charger temperature sensor and ambient temperature and humidity sensor built into the charging dock. The acquisition frequency is not less than 1 time / second, and the acquisition time deviates from the acquisition timestamp of the sensor array data by no more than 500ms, ensuring that the gun number-charging status binding result is consistent with the time dimension of the charging process parameter data.

[0068] On the one hand, the precise division of labor and high-frequency acquisition of multiple types of sensors enable full-dimensional monitoring of charging process current, battery temperature, equipment temperature, and ambient temperature and humidity, avoiding risk omissions caused by monitoring a single parameter. On the other hand, the strict timestamp synchronization mechanism ensures that all data is highly consistent in the time dimension, providing a reliable data foundation for subsequent structured data stream construction, remote command generation, and historical data tracing. This further strengthens the unique correspondence between identity, status, and parameters in firearms management, and improves the accuracy and security of the entire charging management system.

[0069] In one embodiment, the data binding based on a preset gun number database in step S2 specifically refers to two-way verification binding, including:

[0070] S21. Verify whether the gun number corresponding to the RFID tag data exists in the preset database. If it does not exist, trigger the buzzer alarm and display an illegal tag on the LCD screen.

[0071] S211, Verification prerequisite: Triggered by a valid in-situ signal from the sensor array;

[0072] The RFID sensing circuit does not operate continuously. Only when the charging dock's sensor array outputs a valid presence signal (i.e., the pressure value initially reaches the detection threshold and the infrared signal is blocked) does the central control system send a read enable command to the RFID sensing module. This avoids invalid tag scanning when no locator is placed, reducing power consumption and the probability of false detection. The RFID sensing module here uses a high-frequency RFID reader, with a reading distance controlled between 2-5cm (matching the distance between the tag and the reader when the locator is placed), and has a built-in anti-metal interference coating to ensure a tag data reading accuracy of ≥99.8%.

[0073] S212, the underlying support for the preset gun number database;

[0074] The default database is not stored independently, but is synchronized in real time with the core database of the firearms management system. It contains a unique code for each firearm and the RFID tag ID of the attached locator. The database adopts a dual storage mode of local caching + cloud backup: the charging dock storage module caches the serial number data of active firearms in the past 30 days, and at the same time, it is synchronized with the remote server every morning through the communication module to ensure that the serial numbers of newly added, scrapped or transferred firearms can be included / removed from the verification scope in a timely manner, avoiding the loophole that the tags of scrapped firearms are still judged as legitimate.

[0075] S213, Legality Verification Logic and Exception Response;

[0076] Once the RFID module reads the ID of the tag built into the locator, it converts it into a standard encoding format and transmits it to the data processing module for comparison with a preset database.

[0077] (1) Matching successful: If the gun number corresponding to the tag ID exists in the database and the status is in use, the identity is determined to be legitimate. The data processing module temporarily stores the gun number and enters the status comparison stage of S22.

[0078] (2) Matching failure: If the tag ID does not exist in the database, or the corresponding firearm status is scrapped / allocated, a two-level exception response will be triggered immediately:

[0079] (3) Hardware level: The buzzer starts in a short frequency fast response mode, which is different from the long frequency slow response of other faults, making it easier for on-site maintenance personnel to quickly identify illegal identity issues;

[0080] (4) Display level: The LCD screen jumps to the abnormal alarm interface, displays the illegal label in bold red font in the center, and displays the original ID of the label below. At the same time, the charging module is automatically frozen to block the illegal device from obtaining power from the source.

[0081] (5) Data level: Illegal label events are written to temporary logs in a fixed format and uploaded to remote servers first after communication is restored, so that managers can trace the source of illegal labels.

[0082] S22. Compare the pressure value of the bottom pressure sensor with the obstruction signal of the infrared sensor to confirm that the actual position of the locator is consistent with the RFID tag identification result; if they are inconsistent, mark the position as abnormal and upload it to the remote server along with the structured charging status data stream.

[0083] S221. By using a bottom pressure sensor and an infrared sensor in tandem, the system verifies whether the physical presence of the locator matches the identity status identified by the RFID tag. The key parameters are designed to closely align with the actual characteristics of the gun locator.

[0084] Pressure threshold: This range is based on the weight setting of mainstream gun locators, which not only eliminates false judgments caused by small foreign objects blocking the infrared, but also avoids insufficient pressure caused by the locator not being fully placed, while being compatible with the weight differences of different models of locators.

[0085] Infrared sensor detection logic: A through-beam infrared sensor is used. When the locator completely covers the placement area, the infrared light is blocked and the receiver outputs a high level; if the locator is not placed or is only partially placed, the receiver outputs a low level.

[0086] S222, State comparison logic and exception handling;

[0087] After obtaining the RFID validity determination result, the data processing module immediately retrieves the pressure sensor data and infrared sensor data at the same timestamp and performs a comparison to ensure that both conditions are met simultaneously:

[0088] (1) Comparison and consistency: If the pressure value is in the range of 5N-50N and the infrared sensor outputs a high level, it is determined that the actual position of the locator is consistent with the RFID identity, generating the gun number-charging status binding result, and associating the result with the charging parameters collected later, laying the foundation for the construction of structured data stream;

[0089] (2) Inconsistent comparison: The process is refined into three scenarios to ensure accurate anomaly detection:

[0090] Pressure meets standard but infrared is unobstructed: Mark is in place abnormal - position offset, LCD screen prompts in yellow font to adjust the position of the locator, buzzer emits a single frequency prompt tone, does not interrupt charging but continues to prompt until the position is adjusted correctly;

[0091] Infrared signal is blocked but pressure is insufficient: Mark in place abnormal - foreign object interference. Immediately freeze charging start, buzzer sounds short and fast, LCD screen shows red warning of detected foreign object, please remove it to avoid non-locator devices occupying charging resources;

[0092] Pressure and infrared are both substandard, but RFID is valid: Marking an abnormality in place - the device is detached. Immediately upload the abnormal information to the remote server, simultaneously cut off the charging process that has been started, and display on the LCD screen that the locator has been detached. Please confirm safety and trigger the management personnel to conduct a second verification of the gun's location.

[0093] Abnormal data upload specifications: All in-situ abnormal markers must carry information such as timestamp, gun number, original pressure value, infrared status, and abnormal type code, which are embedded in the abnormal field of the structured charging status data stream. After the remote server receives the data, it will display a pop-up window on the visualization interface and automatically associate it with the historical in-situ records of the gun number, helping managers to quickly locate the cause of the abnormality.

[0094] By strongly binding RFID tags to a pre-set database, the problem of mismatch between charging gun numbers and data in ordinary devices is eliminated. Even if the locator changes the charging location, as long as the tag is valid and the status comparison is consistent, the identity can still be accurately associated.

[0095] The dual-sensor threshold design and multi-scenario anomaly handling eliminate the dependence on fixed positions for traditional mechanical triggers, adapting to slight displacements during gun storage. At the same time, pressure thresholds eliminate interference from foreign objects, significantly reducing the false alarm rate. From illegal tag blocking charging to real-time uploading of abnormal status, each verification link is embedded with a closed-loop process of safety blocking, on-site prompts, and remote traceability, ensuring that every step of the charging process is under control, providing dual protection of the gun's identity and status for it to be ready for use at any time.

[0096] In one embodiment, in step S4, the dynamic generation logic of the adaptive control algorithm is as follows:

[0097] S41. After receiving the instruction generated by the remote server based on the structured charging status data stream, prioritize responding to the emergency instruction.

[0098] Emergency commands: Commands generated by the remote server based on the structured charging status data stream, categorized into emergency commands and regular commands according to priority.

[0099] Emergency command types: including emergency shutdown, forced flow reduction, and mode switching. These commands are transmitted with QoS level 2 of the MQTT communication protocol to ensure reliability and carry a command verification code to avoid triggering illegal or erroneous commands.

[0100] Regular command type: includes non-emergency operations such as querying charging progress and adjusting the upper limit of charging current. The QoS level is set to 1, and the priority is lower than that of emergency commands.

[0101] When the remote instruction listening thread captures an urgent instruction, it immediately triggers the following execution flow to ensure that the instruction is executed quickly:

[0102] Command verification: The command scheduling unit first decrypts the command verification code and compares it with the server's public key stored locally. If the verification is successful, the command enters the execution phase. If the verification fails, the command is marked as invalid and uploaded to the server, and execution is refused.

[0103] Action execution:

[0104] In case of emergency shutdown: immediately send a high-level cut-off signal to the charging module to cut off the wireless / wired charging power, and freeze the charging module's startup permission until a shutdown release command is received;

[0105] If forced current reduction is used: the output current of the charging module is adjusted through a PWM (Pulse Width Modulation) signal, for example, reducing the current from 1A to 0.5A with an adjustment accuracy of ±0.05A, and the adjusted current feedback is collected in real time to ensure that the deviation between the actual current and the command target is ≤5%;

[0106] Status recording and feedback: After execution, the system automatically records the instruction reception time, instruction content, and execution result, generates an instruction execution report, and uploads it to the remote server via the communication module. This ensures that managers can keep track of the instruction implementation in real time, forming a closed loop of instruction issuance-execution-feedback, and solving the shortcomings of existing technologies in remote instruction execution with no feedback and loss of status control.

[0107] S42. When the remote command is not explicit, the algorithm automatically combines the charging process parameter data to make a judgment;

[0108] If the battery temperature exceeds 45°C, the wireless charger temperature exceeds 60°C, or the ambient humidity exceeds 85%RH, a pause charging or reduced current charging control command will be automatically generated.

[0109] If the charging current remains below 0.1A for 5 minutes and the wireless charging transmitter circuit has no power output, the wireless charging function is deemed to be malfunctioning.

[0110] When the remote command listening thread fails to capture any remote commands (including regular and emergency commands) for 5 consecutive seconds, the algorithm automatically switches to the local parameter autonomous judgment mode, generating control commands based on real-time monitoring data of charging process parameters. This mode is specifically divided into two categories: abnormal temperature and humidity scenarios and wireless charging failure scenarios.

[0111] Abnormal temperature and humidity scenarios: Gradient control command generation;

[0112] The algorithm employs a real-time sampling, filtering, threshold comparison, and gradient instruction judgment process for three types of parameters: battery temperature, wireless charger temperature, and ambient humidity.

[0113] Sampling frequency: Synchronized with the sensor acquisition frequency, and the raw data is processed by a 5-time sliding window filter to ensure data stability;

[0114] Thresholds are based on: Battery temperature 45℃, referring to the high-temperature protection threshold of security equipment batteries in GB / T36672-2018 "Safety Requirements for Lithium-ion Batteries and Battery Packs for Portable Electronic Products"; Wireless charger temperature 60℃, based on the temperature resistance rating of the coil winding (most copper wire winding insulation layers have a temperature resistance of ≤65℃, with a 5℃ safety margin); Ambient humidity 85%RH, referring to the upper limit of electronic equipment operation in humid environments (to avoid short circuits caused by excessive humidity).

[0115] Gradient instruction generation logic:

[0116] (1) Warning level (close to threshold): If the battery temperature is 38-45℃, the wireless charger temperature is 52-60℃, and the ambient humidity is 80%-85%RH, a current reduction charging command is generated (the current charging current is reduced to 60% of the rated current). At the same time, the parameter warning is displayed in yellow on the LCD screen, indicating that the current has been reduced, and the warning status is uploaded to the server.

[0117] (2) Emergency Level (Over Threshold): If the battery temperature is >45℃, the wireless charger temperature is >60℃, and the ambient humidity is >85%RH, a pause charging command will be generated immediately, the charging power will be cut off, the LCD screen will display a red message indicating that the parameters are out of standard and charging has been paused, the buzzer will sound a long alarm at 1kHz for 3 seconds, and the over threshold data will be written into the structured data stream for uploading to prevent the device from being damaged due to abnormal temperature and humidity.

[0118] Anomaly recovery logic: After charging is paused, the algorithm continuously monitors the parameters. When all parameters drop below the safety threshold and remain stable for 30 seconds, it automatically generates a charging resumption command, restarts charging in the original charging mode, and uploads the recovery status to the server after recovery, reducing the cost of manual intervention.

[0119] The algorithm uses both charging current and transmitting circuit power as parameters to determine whether wireless charging has failed, avoiding misjudgment based on a single parameter.

[0120] Charging current monitoring: The current sensor collects the wireless charging circuit current in real time. If the current is ≤0.1A for 5 minutes (the time threshold is usually set based on instantaneous fluctuations <1 minute to avoid misjudgment), a preliminary failure warning is triggered.

[0121] Transmitter circuit power detection: The charging dock has a built-in power detection module that monitors the output power of the wireless charging transmitter coil in real time. If the power detection value is 0 when the initial warning is triggered (no power output, excluding the case where there is power but the locator does not receive it), then the wireless charging function is determined to be faulty.

[0122] Control command generation and execution after failure:

[0123] Mode switching command: Immediately generate a combined command to cut off wireless charging and activate wired charging. The data processing unit sends a power-off signal to the wireless charging module and a power-on signal to the USB-C wired port.

[0124] Status feedback and alarm: The LCD screen switches to display wireless charging failure and wired mode has been switched, and the charging current is updated synchronously; if the current is still ≤0.1A for 3 minutes after the wired mode is started, a charging fault command is generated, triggering a 2kHz intermittent alarm of the buzzer, and writing the dual fault information of wireless failure + wired failure into the data stream for uploading, prompting maintenance personnel to check hardware problems.

[0125] Failure Recording and Traceability: After each wireless charging failure is detected, the algorithm automatically records the current / power curve, failure trigger time, and status after switching to wired connection for 3 minutes before the failure, and stores it in the local storage module. It can be exported and analyzed through the host computer to find out the cause of the failure.

[0126] In one embodiment, the automatic activation of the wired charging mode specifically includes: the data processing unit sending a power enable signal to the wired USB-C port while simultaneously cutting off the power supply to the wireless charging transmitter circuit;

[0127] Automatic activation of wired charging mode requires accurate determination of wireless charging failure. This determination is directly derived from the wireless charging failure scenario judgment logic in the adaptive control algorithm: when the system detects that the wireless charging circuit current is ≤0.1A for 3 consecutive minutes through the current sensor, and the power detection module confirms that the output power of the wireless charging transmitter circuit is 0W (excluding the case where the transmitter has power but the receiver is abnormal), the data processing unit will immediately generate a wireless charging failure judgment signal. This signal serves as the trigger command for activating wired charging mode and is transmitted to the charging module and display module through the internal bus to start the mode switching process.

[0128] To avoid false triggers, double data verification is used during the judgment process:

[0129] First, the current data needs to undergo five sliding window filtering processes to ensure that the data is free from instantaneous interference;

[0130] Secondly, the power detection module needs to detect 0W power three times consecutively before confirming that the transmitting circuit has failed, thus preventing false switching caused by errors in a single detection.

[0131] The LCD screen switches between displaying the USB-C port output voltage and current charging current in wired charging mode. If the charging current remains below 0.1A for 3 minutes in wired charging mode, the buzzer will be triggered to sound an intermittent alarm, and the charging fault information will be written into the structured charging status data stream and retransmitted to the remote server.

[0132] Power-off control of the wireless charging transmitter circuit;

[0133] Execution path: The data processing unit sends a power-off command to the control chip of the wireless charging module via the I2C communication protocol. This command triggers the electromagnetic relay inside the module to cut off the power supply circuit of the transmitting coil. At the same time, the normally open / normally closed contact status of the relay is transmitted back to the data processing unit through the feedback pin. If the transmitted signal indicates that the power-off was not successful, the system will immediately trigger a hardware fault alarm (a 2kHz long beep of the buzzer and a red flashing on the LCD screen to indicate wireless power-off failure) and upload the fault information in the structured data stream.

[0134] Residual voltage handling: The wireless charging module has a built-in discharge resistor that automatically discharges the residual voltage of the transmitting coil after power is cut off. The discharge time is ≤100ms, ensuring that there is no high voltage residue when switching to wired mode, and avoiding damage to the locator interface due to voltage conflict.

[0135] USB-C wired port power enable control:

[0136] Enable signal transmission: The data processing unit synchronously sends a power enable signal to the power management chip of the USB-C port via the SPI protocol. After receiving the signal, the chip will automatically adapt the output voltage according to the locator battery type.

[0137] If the locator is identified as being powered by a lithium battery via RFID in the early stages, it will output a voltage of 9V / 2A.

[0138] If it is a nickel-metal hydride battery, it outputs 5V / 1A voltage. The voltage switching logic is preset through the battery type database and does not require manual intervention.

[0139] Port protection design: The USB-C port has a built-in overcurrent protection chip and reverse charging protection diode. When a short circuit is detected in the port or the locator supplies reverse power to the charging dock, the output will be cut off immediately to prevent the port from burning out or the locator battery from being over-discharged. At the same time, the port adopts a waterproof and dustproof design, which is suitable for the humid and dusty environment that may exist in the gun room.

[0140] In one embodiment, in step S6, the charging status data stream in the real-time display content of the liquid crystal display screen is presented in tabular form, including fields such as gun number, charging current, battery temperature, wireless charger temperature, ambient temperature and humidity, and remote command reception status.

[0141] S61. Abnormal status indicators are distinguished by color (red for high battery temperature, orange for excessive ambient humidity, and flashing red for charging failure). It also supports touch operation to retrieve the charging parameter curve of the gun number in the past 24 hours. At the same time, the local emergency stop function can be manually triggered. After the trigger is activated, the operation command will be uploaded to the remote server simultaneously.

[0142] S62. The color differentiation of abnormal states is not simply a visual label, but a linkage mechanism based on sensor data judgment, hardware backlight control, and software icon assistance to ensure accurate abnormal triggering and intuitive identification.

[0143] Battery high temperature: Red, backlight always on;

[0144] High ambient humidity: Orange, backlight always on;

[0145] Charging malfunction: flashing red;

[0146] The backlight brightness of all abnormal colors is 20% higher than that of the normal state, enhancing visual warning.

[0147] Debouncing mechanism triggered by an anomaly:

[0148] To avoid false identifications caused by instantaneous fluctuations in sensor readings, the system is equipped with a three-sampling verification mechanism:

[0149] For example, the red indicator will only be triggered if the battery temperature is sampled for three consecutive times and the value is greater than 45°C; if any sampled value is less than or equal to 45°C during this period, the trigger will be canceled to prevent misjudgment caused by frequent color switching.

[0150] Handling multiple anomalies:

[0151] When multiple anomalies occur simultaneously, a priority overlay principle is adopted: charging faults have the highest priority and override the solid red indicator for high battery temperature; after the charging fault is resolved, the red indicator for high battery temperature will be displayed; at the same time, a multi-anomaly prompt will pop up at the bottom of the screen to avoid missing any anomalies.

[0152] Anomaly icon matching: Each anomaly status corresponds to a unique icon, displayed in sync with its color.

[0153] Battery overheating: red thermometer icon;

[0154] High ambient humidity: Orange water droplet icon;

[0155] Charging malfunction: Flashing red exclamation mark icon;

[0156] Text description pop-up: Long press on the abnormal color field to bring up a white background description window, showing the cause of the abnormality and suggested actions, reducing the operation threshold for maintenance personnel.

[0157] The touch-to-retrieve curve function is designed for quick location and detailed viewing, with a simple and intuitive interaction process, while also balancing data loading speed and display accuracy.

[0158] (1) Retrieval process and interaction steps;

[0159] Trigger method: Click the curve retrieval button in the third row and sixth column of the table;

[0160] Identity verification: If access control is enabled on the charging dock (for confidential scenarios), a password input box will pop up after clicking. The curve will only be loaded after the verification is successful. If it is not enabled, you will directly enter the curve interface.

[0161] Curve display interface:

[0162] Horizontal axis: Time, total length occupies 90% of the screen width;

[0163] Vertical axis: Dual-axis design, with current on the left and temperature on the right;

[0164] Curves: Charging current is represented by a solid blue line, battery temperature by a dashed red line, and wireless charger temperature by a dotted green line. The three curves are displayed on the same screen for easy comparison and correlation.

[0165] Detailed interaction:

[0166] Zoom: Double-click any area of ​​the curve to zoom in to a 4-hour time period; double-click again to return to full screen.

[0167] Pan: After zooming in, press and hold the curve and slide it left or right to view details at different times;

[0168] Data point query: Long press any point on the curve to bring up data labels, accurate to the minute;

[0169] Exit method: Click the back button in the upper right corner of the screen to return to the table interface. The curve data will be automatically cached to the storage module.

[0170] (2) Technical support for curve data;

[0171] Data source: The curve data comes from historical data of 1 sampling point every 5 minutes cached in the charging dock storage module, which ensures data density and avoids storage redundancy;

[0172] Loading speed: It adopts a preloading + incremental update mechanism. After the device is powered on, it automatically preloads the data of the most recent 12 hours. When retrieving, it only needs to load the remaining 12 hours of data. The loading time is ≤1 second and there is no obvious lag.

[0173] Anomaly labeling: If there are abnormal points in the curve, they will be marked with red dots. Clicking the dots will bring up the anomaly type, making it easier to trace the abnormal period.

[0174] Local emergency shutdown is not simply cutting off the power, but a closed-loop process encompassing trigger verification, shutdown execution, status feedback, and command uploading, ensuring operational safety and traceability.

[0175] (3) Triggering methods and accidental touch protection;

[0176] Operation entry point: Emergency stop button. The button is a red rectangle with the text "Emergency Stop" in white. The background is light red when not triggered and turns dark red when triggered.

[0177] Double confirmation: After clicking the button, a dialog box for confirming the emergency stop will pop up immediately. There are two buttons at the bottom of the dialog box: Confirm and Cancel. You must click Confirm within 3 seconds to execute the operation and avoid accidental clicks.

[0178] Access control: In confidential scenarios, after clicking "Confirm," a 4-digit operation password must be entered again. The operation will only be executed after successful verification to prevent unauthorized operations.

[0179] (4) Execution process and hardware linkage;

[0180] Disconnect the charging circuit: Upon confirmation, the data processing unit immediately sends an emergency stop signal to the charging module. The internal relay of the charging module cuts off the wireless / wired charging power supply with a response time of ≤50ms, ensuring rapid power cut-off.

[0181] Status display update: The charging current field in the table immediately changes to 0A and the color changes to gray. The remote command receiving status field changes to local emergency shutdown. A red prompt bar pops up at the bottom of the screen indicating that the system has been shut down and is waiting for remote recovery.

[0182] Hardware feedback: After a successful shutdown, the buzzer will emit a long beep as auditory feedback of successful operation, which is different from a fault alarm.

[0183] (5) Synchronous uploading of operation instructions;

[0184] Uploaded content: The shutdown command is uploaded using a structured data packet, which includes the following fields: operation timestamp, gun number, operation type, operator identifier, and parameters before shutdown.

[0185] Transmission protocol and priority: The MQTT protocol is used. Data packets are marked with the highest priority and are placed at the head of the transmission queue of the communication module. Even if other data transmissions are currently in progress, regular transmissions will be paused and the shutdown command will be uploaded first.

[0186] Network interruption retransmission: If communication is interrupted when a shutdown is triggered, the instruction data packet is automatically cached to the storage module and automatically uploaded as soon as the network is restored, ensuring that the remote server does not miss any critical operation records;

[0187] Remote feedback: After receiving the instruction, the remote server will return a confirmation signal that the local shutdown instruction has been received. After receiving the signal, the charging dock will append "remote confirmation" to the remote instruction reception status field, forming a closed loop of operation-upload-confirmation.

[0188] Color-coded indicators, icon-based assistance, and text prompts reduce reliance on professional personnel, enabling on-site security personnel to quickly identify anomalies; optional password verification mechanisms prevent unauthorized operations, and operation records are traceable, complying with the confidentiality management requirements in the public safety field; a dual-buffering mechanism ensures that even if sensor data is temporarily abnormal, the screen display will not frequently jump, ensuring a stable and reliable status display.

[0189] Example 2, please refer to Figure 2 As shown, the wireless charging method system for a gun locator described in this embodiment includes:

[0190] Sensor module: Composed of bottom pressure sensor, infrared sensor, current sensor, battery temperature sensor, wireless charger temperature sensor and ambient temperature and humidity sensor, used to collect in-situ monitoring signals and charging process parameter data in real time.

[0191] RFID sensing module: includes RFID sensing circuit board and antenna, used to trigger the reading of RFID tag data built into the locator when the sensor module outputs a valid on-site monitoring signal;

[0192] Data processing module: used to construct a structured charging status data stream by binding the gun number and charging status with the charging process parameter data;

[0193] Communication module: Supports Ethernet / 4G communication, used to transmit structured charging status data streams to a remote server and receive remote commands generated by the remote server;

[0194] Control module: Built-in adaptive control algorithm, used to dynamically generate charging control commands based on remote instructions, and control the working mode of the charging module;

[0195] Charging module: includes a wireless charging transmitter circuit and a wired USB-C port, and can switch working modes according to charging control commands;

[0196] Display alarm module: Composed of an LCD screen and a buzzer, used to display the binding result, charging status data stream, charging control commands, and trigger an alarm in case of abnormality;

[0197] Storage module: used to cache the structured charging status data stream and historical alarm records for the past 30 days, and supports export to the local host computer;

[0198] A charging dock includes a central control system, the central control system being used to implement a wireless charging method for a gun locator as described in any of the above claims.

[0199] Example 3, please refer to Figure 3 As shown, the charging dock also includes a base body shell and a base cover plate. The base body shell forms a receiving cavity for installing an RFID sensing circuit board, a wireless charging and control motherboard, and a buzzer. The base cover plate covers the bottom of the receiving cavity, and the pressure sensor is embedded on the upper surface of the base cover plate, corresponding to the locator placement area.

[0200] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A wireless charging method for a gun locator, characterized in that, include: Real-time synchronous acquisition of charging dock sensor array data and charging process parameter data; The sensor array data includes in-situ monitoring signals from the bottom pressure / infrared sensor, and the charging process parameter data includes charging current, battery temperature, wireless charger temperature, and ambient temperature and humidity. Based on the in-situ monitoring signal, the RFID sensing circuit is triggered to read the RFID tag data built into the locator, and the data is bound based on the preset gun number database to generate a real-time gun number-charging status binding result. The data binding based on a preset gun number database specifically involves two-way verification binding, including: Verify that the gun number corresponding to the RFID tag data exists in the preset database. If it does not exist, trigger the buzzer alarm and display an illegal tag on the LCD screen. By comparing the pressure value of the bottom pressure sensor with the obstruction signal of the infrared sensor, the actual position of the locator is confirmed to be consistent with the RFID tag identification result. If they are inconsistent, an abnormal position is marked and uploaded to the remote server along with the structured charging status data stream. The binding result and the charging process parameter data are constructed into a structured charging status data stream, which is then transmitted to a remote server to generate remote instructions. Based on the remote command, charging control commands are dynamically generated through an adaptive control algorithm; When the wireless charging function of the locator is detected to be malfunctioning, the wired charging mode will be automatically activated. The binding result, the charging status data stream, and the charging control commands are displayed in real time on an LCD screen.

2. The wireless charging method for a gun locator according to claim 1, characterized in that: The real-time synchronous acquisition of charging process parameter data is achieved through the current sensor, battery temperature sensor, wireless charger temperature sensor, and ambient temperature and humidity sensor built into the charging dock.

3. The wireless charging method for a gun locator according to claim 1, characterized in that: The dynamic generation of the adaptive control algorithm specifically includes: After receiving instructions generated by the remote server based on the structured charging status data stream, emergency instructions are responded to first. When the remote command is not explicit, the algorithm automatically combines the charging process parameter data to make a judgment.

4. The wireless charging method for a gun locator according to claim 1, characterized in that: The automatic activation of the wired charging mode specifically includes: The data processing unit sends a signal to the wired port while simultaneously cutting off the power to the wireless charging transmitter circuit. The LCD screen switches between displaying the wired charging mode and the current charging current; If the charging current remains below 0.1A for 3 minutes in wired charging mode, an intermittent alarm will be triggered by the buzzer, and the charging fault information will be written into the structured charging status data stream and retransmitted to the remote server.

5. The wireless charging method for a gun locator according to claim 1, characterized in that: The charging status data stream displayed on the LCD screen in real time is presented in tabular form, including the charging gun number, charging current, battery temperature, wireless charger temperature, ambient temperature and humidity, and remote command reception status. Abnormal status indicators are color-coded and support touch operation to retrieve the charging parameter curve of the gun number in the past 24 hours. At the same time, the local emergency stop function can be manually triggered, and the operation command will be uploaded to the remote server synchronously after being triggered.

6. A wireless charging system for a gun locator, used to implement the wireless charging method for a gun locator as described in any one of claims 1-5, characterized in that, include: Sensor module: Used for real-time synchronous acquisition of in-situ monitoring signals and charging process parameter data; RFID sensing module: used to trigger the reading of data from the locator's built-in RFID tag when the sensor module outputs a valid presence monitoring signal; Data processing module: used to construct a structured charging status data stream by binding the gun number and charging status with the charging process parameter data; Communication module: used to transmit structured charging status data streams to a remote server and receive remote commands generated by the remote server; Control module: Used to dynamically generate charging control commands based on remote instructions, and control the working mode of the charging module; Charging module: can switch working modes according to charging control commands; Display alarm module: used to display binding results, charging status data stream, charging control commands, and trigger alarms when abnormalities occur; Storage module: used to cache the structured charging status data stream and historical alarm records for the past 30 days, and supports export to the local host computer.

7. A charging stand, characterized in that, It includes a central control system, which is used to implement a wireless charging method for a gun locator according to any one of claims 1-5.

8. The charging stand according to claim 7, characterized in that, The charging dock also includes a base body shell, a base cover plate, and a pressure sensor. The base body shell forms a cavity for installing an RFID sensing circuit board, a wireless charging and control motherboard, and a buzzer. The base cover plate covers the bottom of the cavity, and the pressure sensor is embedded in the upper surface of the base cover plate, corresponding to the locator placement area.

Citation Information

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