A control method and system for intelligent anti-lost device

Abstract

The application discloses a control method and system for intelligent anti-lost equipment, and belongs to the technical field of communication technology, and comprises the following steps: data acquisition: through distance sensors, acceleration sensors, gyroscopes and signal strength detection modules arranged on the intelligent anti-lost equipment, the position coordinates, motion acceleration, rotational angular velocity of the equipment itself and the signal strength value between the equipment and a target object are collected respectively, and through corresponding sensors arranged on the target object, the position coordinates, motion acceleration and rotational angular velocity of the target object are collected; data processing; the application can accurately collect various data of the equipment and the target object, and through effective processing and analysis, the separation state of the equipment and the target object can be judged in time, and when the equipment and the target object are abnormally separated, alarm information can be rapidly sent, reliable anti-lost protection is provided for users, and the risk of losing the target object is effectively reduced.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of communication, and particularly relates to a control method and system for an intelligent anti-lost device. BACKGROUND

[0002] With the improvement of people's living standards and the increase of the value of personal belongings, intelligent anti-lost devices have gradually become popular products in the market and are widely used in scenes of preventing the loss of target objects such as keys, wallets, children and pets.

[0003] However, the existing intelligent anti-lost devices still have many deficiencies: some intelligent anti-lost devices only rely on a single sensor (such as Bluetooth signal strength detection) to determine the distance between the device and the target object, and when there is signal interference in the environment, false positives or false negatives are likely to occur, resulting in frequent false alarms or missed alarms and reducing the user experience; at the same time, in terms of data processing, the existing devices often lack effective data fusion and denoising methods, and the collected position, motion and other data have large errors, which cannot accurately reflect the real state of the device and the target object, greatly reducing the accuracy of the anti-lost judgment. SUMMARY

[0004] Problems to be solved

[0005] In view of the problems in the prior art, the present application provides a control method and system for an intelligent anti-lost device.

[0006] Technical scheme

[0007] To solve the above problems, the present application adopts the following technical scheme.

[0008] A control method for an intelligent anti-lost device, comprising the following steps:

[0009] Data acquisition: through the distance sensor, acceleration sensor, gyroscope and signal strength detection module arranged on the intelligent anti-lost device, the position coordinates, motion acceleration, angular velocity of rotation and signal strength value between the device and the target object are collected, and through the corresponding sensors arranged on the target object, the position coordinates, motion acceleration and angular velocity of rotation of the target object are collected;

[0010] Data processing: inputting the collected position coordinates, motion acceleration, angular velocity of rotation of the device itself, signal strength value between the device and the target object, and position coordinates, motion acceleration and angular velocity of rotation of the target object into a preset Kalman filtering algorithm for fusion processing to remove noise interference, and obtaining the accurate relative position, relative motion speed and comprehensive state parameters of signal strength of the device and the target object;

[0011] Analysis and judgment: compare the comprehensive state parameter with the preset alarm threshold, the preset alarm threshold includes distance threshold, relative motion speed threshold and signal strength threshold, wherein the distance threshold is divided into indoor distance threshold and outdoor distance threshold, when the distance between the device and the target object in the comprehensive state parameter exceeds the corresponding distance threshold, and the relative motion speed exceeds the relative motion speed threshold, and the signal strength is lower than the signal strength threshold, it is judged that the alarm is triggered;

[0012] Alarm information sending: if the alarm is triggered, the alarm information is sent to the preset receiving end in real time through the communication module, the alarm information includes the real-time position coordinates of the device, the time of triggering the alarm, the relative distance between the device and the target object, the relative motion speed and the signal strength, the communication module supports Bluetooth, Wi-Fi, 4G / 5G multiple communication modes, and can send alarm information to multiple preset receiving ends at the same time.

[0013] Preferably, in the data acquisition step, the position coordinates of the device itself are obtained through the built-in GPS module, and the position coordinates of the target object are obtained through the wireless communication positioning technology between the device and the target object, the wireless communication positioning technology is any one of Bluetooth positioning, Wi-Fi positioning or ultra wide band positioning.

[0014] Further, in the data processing step, the preset algorithm further includes a fuzzy logic algorithm for further analyzing the fused comprehensive state parameter, judging whether the separation state of the device and the target object belongs to normal separation or abnormal separation, the normal separation includes the case that the user actively closes the connection between the device and the target object, and the abnormal separation includes the case that the device and the target object are accidentally separated.

[0015] Preferably, in the alarm information sending step, an alarm instruction is further sent to the device itself, so that the device issues a sound alarm or a light alarm to remind the user to pay attention to the separation state of the device and the target object.

[0016] Further, the formula of the Kalman filter algorithm in the data processing step is:

[0017] X k =F k X K-1 +B k U K +W k

[0018] Where F k is the state transition matrix, F k is the control input matrix, W k is the process noise;

[0019] The Δt is the sampling time interval.

[0020] Further, the formula of the fuzzy logic algorithm is:

[0021]

[0022] where i is an input variable, j is a fuzzy level, C i，j is a membership function center value, and σ i，j is a width parameter.

[0023] A control system for an intelligent anti-lost device, comprising:

[0024] A data acquisition module: configured to acquire the position coordinates, motion acceleration, angular velocity and signal strength value between the device and the target object through the distance sensor, acceleration sensor, gyroscope and signal strength detection module arranged on the intelligent anti-lost device, and to acquire the position coordinates, motion acceleration and angular velocity of the target object through the corresponding sensors arranged on the target object.

[0025] A data processing module: configured to input the acquired position coordinates, motion acceleration, angular velocity and signal strength value between the device and the target object, and the position coordinates, motion acceleration and angular velocity of the target object into a preset Kalman filtering algorithm for fusion processing to remove noise interference and obtain the accurate relative position, relative motion speed and comprehensive state parameter of the signal strength of the device and the target object.

[0026] A judgment module: configured to compare the comprehensive state parameter with a preset alarm threshold, wherein the preset alarm threshold includes a distance threshold, a relative motion speed threshold and a signal strength threshold, the distance threshold is divided into an indoor distance threshold and an outdoor distance threshold according to different application scenarios, when the distance between the device and the target object in the comprehensive state parameter exceeds the corresponding distance threshold, the relative motion speed exceeds the relative motion speed threshold, and the signal strength is lower than the signal strength threshold, it is judged that the alarm is triggered.

[0027] An alarm information sending module: configured to send alarm information to a preset receiving end in real time through a communication module when the alarm is triggered, wherein the alarm information includes the real-time position coordinates of the device, the time of triggering the alarm, the relative distance, the relative motion speed and the signal strength between the device and the target object, and the communication module can send alarm information to multiple preset receiving ends at the same time.

[0028] Further, in the data acquisition module, the position coordinates of the device are acquired through a built-in GPS module or Beidou positioning module, and the position coordinates of the target object are acquired through wireless communication positioning technology between the device and the target object.

[0029] Further, the data processing module, the preset algorithm further comprises a fuzzy logic algorithm, used for further analyzing the fused comprehensive state parameters, judging whether the separation state of the device and the target object belongs to normal separation or abnormal separation, the normal separation including a case that the user actively closes the connection between the device and the target object, and the abnormal separation including a case that the device and the target object are accidentally separated.

[0030] Further, the device alarm module is further included, used for receiving an alarm instruction while the alarm information sending module sends the alarm information, so that the device sends a sound alarm or a light alarm, reminding the user to pay attention to the separation state of the device and the target object.

[0031] Advantages

[0032] Compared with the prior art, the present application has the following advantages:

[0033] (1) The present application sets multiple sensors on the intelligent anti-lost device and the target object, including a distance sensor, an acceleration sensor, a gyroscope and a signal strength detection module, etc., which can comprehensively collect multi-dimensional data such as position coordinates, motion acceleration, rotational angular velocity and signal strength value of the device and the target object; combined with the GPS module, the Beidou positioning module and various wireless communication positioning technologies, the accurate position of the device and the target object is realized; in the data processing link, the Kalman filtering algorithm is used for fusion processing of the collected data, effectively removing noise interference, compared with the traditional single sensor or simple data processing method, the accuracy of the comprehensive state parameters such as the relative position, the relative motion speed and the signal strength of the device and the target object is significantly improved, providing a reliable basis for subsequent judgment.

[0034] (2) The present application further analyzes the fused comprehensive state parameters by introducing a fuzzy logic algorithm, which can accurately judge whether the separation state of the device and the target object is normal separation or abnormal separation; effectively avoids false alarms caused by normal conditions such as user active operation or short signal interruption, improves the intelligent level of system judgment, reduces the false alarm rate, makes the alarm prompt more targeted and practical, and improves the convenience and comfort of user use.

[0035] (3) The application sets multi-dimensional alarm thresholds, including indoor and outdoor distance thresholds, relative motion speed thresholds and signal strength thresholds differentiated according to different application scenarios, and only when the distance, relative motion speed and signal strength of the device and the target object simultaneously meet the alarm conditions, the alarm is triggered, which greatly improves the accuracy and reliability of the alarm judgment; once the alarm is triggered, not only the device itself will sound or light alarm, but also through the communication module supporting Bluetooth, Wi-Fi, 4G / 5G multiple communication modes, real-time alarm information containing detailed information is sent to multiple preset receiving ends, ensuring that users and related personnel can obtain information in time and take measures, effectively reducing the risk of target object loss

[0036] Figure 1 The system flowchart of the application. DETAILED DESCRIPTION

[0037] To make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments of the present application. The components of the embodiments of the present application described and shown in the drawings can be arranged and designed in various different configurations.

[0038] Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor are within the scope of protection of the present application.

[0039] Embodiment 1:

[0040] As shown in Figure 1 , a control method for an intelligent anti-lost device, in specific implementation, comprising the following steps:

[0041] Data acquisition: assuming that a user wears an intelligent anti-lost device on his body, and the target object is the user's key, a small intelligent anti-lost terminal is attached to the key; the intelligent anti-lost device is integrated with a distance sensor (model VL53L0X), an acceleration sensor (model ADXL345), a gyroscope (model MPU6050) and a signal strength detection module (based on Bluetooth RSSI signal strength detection), and the anti-lost terminal on the key is also configured with corresponding sensors.

[0042] The position coordinates of the device itself are obtained through the built-in GPS module (model NEO-6M), and the position coordinates of the target object (key) are obtained through the Bluetooth positioning technology.

[0043] When the user carries the device and the key moves, the distance sensor measures the straight-line distance between the device and the key in real time, the acceleration sensor collects the motion acceleration of the device and the key in three-dimensional space, the gyroscope obtains the rotation angular velocity of the two, and the signal strength detection module detects the Bluetooth signal strength value between the device and the key.

[0044] In a specific implementation, for example, at a certain moment, the distance sensor collects the distance between the device and the key as 2 meters, the acceleration sensor collects the acceleration of the device in the X-axis direction as 1 m / s 2 , the acceleration in the Y-axis direction as 0.5 m / s 2 , the acceleration in the Z-axis direction as -0.3 m / s 2 , the acceleration of the key in the X-axis direction as 0.8 m / s 2 , the acceleration in the Y-axis direction as 0.4 m / s 2 , the acceleration in the Z-axis direction as -0.2 m / s 2 , the gyroscope collects the rotation angular velocity of the device around the X-axis as 5° / s, the rotation angular velocity around the Y-axis as 3° / s, and the rotation angular velocity around the Z-axis as -2° / s, the rotation angular velocity of the key around the X-axis as 4° / s, the rotation angular velocity around the Y-axis as 2° / s, and the rotation angular velocity around the Z-axis as -1° / s, and the signal strength detection module detects the Bluetooth signal strength value as -60 dBm.

[0045] Data processing: input all the collected data into a preset Kalman filtering algorithm for fusion processing, and the processing algorithm includes: X k =F k X K-1 +B k U K +W k

[0046] Wherein F k is a state transition matrix, F k is a control input matrix, and W k is process noise.

[0047] Δt is the sampling time interval.

[0048] After the Kalman filtering algorithm processing, the noise interference is removed, and the accurate relative position, relative motion speed and signal strength of the device and the key are obtained, for example, the relative distance is 1.98 meters, the relative motion speed in the X-axis direction is 0.2 m / s, the relative motion speed in the Y-axis direction is 0.1 m / s, the relative motion speed in the Z-axis direction is -0.1 m / s, and the signal strength is -59 dBm.

[0049] Then, the fused comprehensive state parameters are further analyzed by using a preset fuzzy logic algorithm.

[0050] The formula of the fuzzy logic algorithm is:

[0051] where i is an input variable, j is a fuzzy grade, C i，j is a membership function center value, and σ i，j is a width parameter.

[0052] The algorithm is used to determine whether the separation state of the device and the key is normal separation or abnormal separation. If the user actively closes the connection between the device and the key, the system can identify it as normal separation; if no active operation is performed, and the distance between the device and the key rapidly increases, the signal strength sharply decreases, etc., it is determined as abnormal separation.

[0053] Analysis and judgment: The preset alarm threshold is analyzed and judged, and the distance threshold is set as follows: the indoor distance threshold is 5 meters, the outdoor distance threshold is 10 meters, the relative motion speed threshold is 1 m / s, and the signal strength threshold is -70 dBm. The comprehensive state parameters obtained by the data processing module are compared with the preset alarm threshold. When the distance between the device and the key in the comprehensive state parameters exceeds the corresponding distance threshold (such as the distance reaches 12 meters in an outdoor scene), the relative motion speed exceeds the relative motion speed threshold (such as the relative motion speed in the X-axis direction is 1.5 m / s, the relative motion speed in the Y-axis direction is 1 m / s, the relative motion speed in the Z-axis direction is 0.8 m / s, and the combined speed exceeds 1 m / s), and the signal strength is lower than the signal strength threshold (such as the signal strength is -75 dBm), it is determined that the alarm is triggered.

[0054] Alarm information sending: If the alarm is triggered, the alarm information sending module sends alarm information to the preset receiving end (such as the user's smart phone) in real time through the communication module supporting multiple communication modes such as Bluetooth, Wi-Fi, 4G / 5G. The alarm information includes the real-time position coordinates of the device (such as latitude and longitude: 31.2304 °N, 121.4737 °E), the time when the alarm is triggered (such as October 1, 2024, 10:15), the relative distance between the device and the key (12 meters), the relative motion speed (combined speed 1.8 m / s), and the signal strength (-75 dBm). The information can be sent to multiple preset receiving ends (such as the user's family's mobile phones) at the same time.

[0055] At the same time, the device alarm module receives the alarm instruction, and the smart anti-lost device sends out a sound alarm (such as a continuous bee sound) or a light alarm (such as a red light flashing), reminding the user to pay attention to the separation state of the device and the key.

[0056] The smart anti-lost device can accurately collect various data of the device and the target object, and effectively process and analyze the data to timely determine the separation state of the device and the target object. When the separation is abnormal, the device quickly sends out an alarm information, providing reliable anti-lost protection for the user and effectively reducing the risk of losing the target object.

[0057] The above-described embodiments only express the preferred embodiments of the present application, which are described in a more specific and detailed manner, but should not be understood as limiting the scope of the patent of the present application. It should be noted that, for those skilled in the art, several modifications, improvements and substitutions can be made without departing from the concept of the present application, which all belong to the protection scope of the present application.

Claims

1. A control method for an intelligent anti-loss device, characterized in that, Includes the following steps: Data Acquisition: The device's own position coordinates, motion acceleration, rotational angular velocity, and signal strength value with respect to the target object are collected by the distance sensor, acceleration sensor, gyroscope, and signal strength detection module installed on the smart anti-loss device. At the same time, the target object's position coordinates, motion acceleration, and rotational angular velocity are collected by the corresponding sensors installed on the target object. Data processing: The collected position coordinates, motion acceleration, rotational angular velocity, and signal strength between the device and the target object, as well as the position coordinates, motion acceleration, and rotational angular velocity of the target object, are input into a preset Kalman filter algorithm for fusion processing to remove noise interference and obtain comprehensive state parameters of the precise relative position, relative motion speed, and signal strength between the device and the target object. Analysis and Judgment: The comprehensive status parameters are compared with preset alarm thresholds, which include distance thresholds, relative motion speed thresholds, and signal strength thresholds. The distance thresholds are divided into indoor distance thresholds and outdoor distance thresholds. When the distance between the device and the target object exceeds the corresponding distance threshold, the relative motion speed exceeds the relative motion speed threshold, and the signal strength is lower than the signal strength threshold, an alarm is triggered. Alarm information transmission: If an alarm is triggered, alarm information is sent to a preset receiving end in real time through the communication module. The alarm information includes the real-time location coordinates of the device, the time of triggering the alarm, the relative distance between the device and the target object, the relative speed of movement, and the signal strength. The communication module supports multiple communication methods such as Bluetooth, Wi-Fi, and 4G / 5G, and can send alarm information to multiple preset receiving ends simultaneously. In the data acquisition step, the device's own position coordinates are obtained through the built-in GPS module, and the target object's position coordinates are obtained through wireless communication positioning technology between the device and the target object. The wireless communication positioning technology can be any one of Bluetooth positioning, Wi-Fi positioning, or ultra-wideband positioning. In the data processing step, the preset algorithm also includes a fuzzy logic algorithm, which is used to further analyze the fused comprehensive state parameters and determine whether the separation state between the device and the target object is normal separation or abnormal separation. Normal separation includes the situation where the user actively shuts down the connection between the device and the target object, and abnormal separation includes the situation where the device and the target object are accidentally separated.

2. The control method for an intelligent anti-loss device according to claim 1, characterized in that: The alarm information sending step also includes sending an alarm command to the device itself, causing the device to emit an audible alarm or a light alarm to remind the user to pay attention to the separation of the device from the target object.

3. The control method for an intelligent anti-loss device according to claim 1, characterized in that, The formula for the Kalman filter algorithm in the data processing step is: ； in Here is the state transition matrix. To control the input matrix, This is process noise; The , This represents the sampling time interval.

4. The control method for an intelligent anti-loss device according to claim 1, characterized in that: The formula for the fuzzy logic algorithm is: ； in For input variables, For fuzzy levels, The membership function center value, This is the width parameter.

5. A control system for an intelligent anti-loss device, characterized in that: include: Data acquisition module: It is used to collect the device's own position coordinates, motion acceleration, rotational angular velocity and signal strength value between the device and the target object through the distance sensor, acceleration sensor, gyroscope and signal strength detection module set on the smart anti-loss device. At the same time, it collects the target object's position coordinates, motion acceleration and rotational angular velocity through the corresponding sensor set on the target object. Data processing module: This module is used to input the collected position coordinates, motion acceleration, rotational angular velocity, and signal strength values ​​between the device and the target object, as well as the position coordinates, motion acceleration, and rotational angular velocity of the target object, into a preset Kalman filter algorithm for fusion processing to remove noise interference and obtain comprehensive state parameters of the precise relative position, relative motion speed, and signal strength between the device and the target object. Judgment module: used to compare the comprehensive status parameters with preset alarm thresholds. The preset alarm thresholds include distance threshold, relative motion speed threshold and signal strength threshold. The distance threshold is divided into indoor distance threshold and outdoor distance threshold according to different application scenarios. When the distance between the device and the target object in the comprehensive status parameters exceeds the corresponding distance threshold, the relative motion speed exceeds the relative motion speed threshold, and the signal strength is lower than the signal strength threshold, an alarm is triggered. Alarm information sending module: When an alarm is triggered, it is used to send alarm information to a preset receiving end in real time through the communication module. The alarm information includes the real-time location coordinates of the device, the time of triggering the alarm, the relative distance between the device and the target object, the relative speed of movement, and the signal strength. The communication module can send alarm information to multiple preset receiving ends simultaneously. The data processing module also includes a fuzzy logic algorithm, which is used to further analyze the fused integrated state parameters and determine whether the separation state between the device and the target object is normal or abnormal. Normal separation includes the situation where the user actively shuts down the connection between the device and the target object, and abnormal separation includes the situation where the device and the target object are accidentally separated.

6. A control system for an intelligent anti-loss device according to claim 5, characterized in that: In the data acquisition module, the device's own position coordinates are obtained through a built-in GPS module or Beidou positioning module, while the target object's position coordinates are obtained through wireless communication positioning technology between the device and the target object.

7. A control system for an intelligent anti-loss device according to claim 5, characterized in that, It also includes a device alarm module, which receives alarm commands while the alarm information sending module sends alarm information, causing the device to issue an audible or visual alarm to remind the user to pay attention to the separation of the device from the target object.

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