Control method and system for intelligent anti-lost equipment

Abstract

The invention discloses a control method and system for an intelligent anti-lost device, and belongs to the technical field of communication technologies, and the method comprises the following steps: data collection: through a distance sensor, an acceleration sensor, a gyroscope and a signal intensity detection module which are arranged on the intelligent anti-lost device, obtaining a signal intensity signal; the position coordinates, the motion acceleration and the rotation angular velocity of the device and the signal intensity value between the device and the target object are collected, and meanwhile the position coordinates, the motion acceleration and the rotation angular velocity of the target object are collected through a corresponding sensor arranged on the target object; processing data; various data of the equipment and the target object can be accurately collected, the separation state of the equipment and the target object can be timely judged through effective processing and analysis, alarm information is rapidly sent out when abnormal separation is carried out, reliable anti-lost guarantee is provided for a user, and the risk that the target object is lost is effectively reduced.

Description

Technical Field

[0001] The present invention belongs to the field of communication technology, and in particular relates to a control method and system for intelligent anti-loss equipment. Background Art

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

[0003] However, existing smart anti-loss devices still have many shortcomings: some smart anti-loss devices rely on only a single sensor (such as Bluetooth signal strength detection) to determine the distance between the device and the target object. When there is signal interference in the environment, misjudgment is prone to occur, resulting in frequent false alarms or missed alarms, which reduces the user experience; at the same time, in terms of data processing, existing devices often lack effective data fusion and denoising methods, and the collected position, movement and other data have large errors, which cannot accurately reflect the actual status of the device and the target object, greatly reducing the accuracy of anti-loss judgment. Summary of the Invention

[0004] Problem to be solved

[0005] In response to the problems raised in the existing background technology, the present invention provides a control method and system for an intelligent anti-loss device.

[0006] Technical Solution

[0007] To solve the above problems, the present invention adopts the following technical solutions.

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

[0009] Data collection: The distance sensor, acceleration sensor, gyroscope, and signal strength detection module installed on the smart anti-lost device collect the device's own position coordinates, motion acceleration, rotational angular velocity, and signal strength value between the device and the target object. At the same time, the corresponding sensors installed on the target object collect the target object's position coordinates, motion acceleration, and rotational angular velocity.

[0010] Data processing: The collected data, including the device's own position coordinates, motion acceleration, rotational angular velocity, and signal strength between the device and the target object, as well as the target object's position coordinates, motion acceleration, and rotational angular velocity, are fed into a preset Kalman filter algorithm for fusion processing to remove noise interference and obtain the comprehensive state parameters of the precise relative position, relative motion velocity, and signal strength between the device and the target object.

[0011] Analysis and judgment: Compare the comprehensive status parameters 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 in the comprehensive status parameters 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, an alarm is triggered.

[0012] Alarm information sending: If an alarm is triggered, the alarm information will be sent to the preset receiving end in real time through the communication module. The alarm information includes the real-time location coordinates of the device, the time when the alarm is triggered, the relative distance between the device and the target object, the relative movement speed and 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 at the same time.

[0013] Preferably, in the data collection 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, and the wireless communication positioning technology is any one of Bluetooth positioning, Wi-Fi positioning or ultra-wideband positioning.

[0014] Furthermore, in the data processing step, the preset algorithm also includes a fuzzy logic algorithm, which is used to further analyze the integrated state parameters after fusion to determine whether the separation state of the device and the target object is normal separation or abnormal separation. The normal separation includes the user actively closing the connection between the device and the target object, and the abnormal separation includes the device and the target object accidentally detaching.

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

[0016] Furthermore, 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] Among them F k is the state transfer matrix, F k is the control input matrix, W k is the process noise;

[0019] described Δt is the sampling time interval.

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

[0021]

[0022] Where i is the input variable, j is the fuzzy level, C i，j is the central value of the membership function, σ i，j is the width parameter.

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

[0024] Data acquisition module: 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 installed on the intelligent anti-loss device, and at the same time collect the target object's position coordinates, motion acceleration and rotational angular velocity through the corresponding sensors installed on the target object.

[0025] Data processing module: used to integrate the collected device's own position coordinates, motion acceleration, rotational angular velocity, signal strength values ​​between the device and the target object, as well as the target object's position coordinates, motion acceleration and rotational angular velocity into the preset Kalman filter algorithm for processing, remove noise interference, and obtain the comprehensive state parameters of the precise relative position, relative motion speed and signal strength between the device and the target object.

[0026] Judgment module: used to compare the comprehensive status parameters with the preset alarm thresholds, the preset alarm thresholds include distance thresholds, relative movement speed thresholds and signal strength thresholds, where the distance thresholds are divided into indoor distance thresholds and outdoor distance thresholds 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, and the relative movement speed exceeds the relative movement speed threshold, and the signal strength is lower than the signal strength threshold, the alarm is triggered.

[0027] Alarm information sending module: used to send alarm information to the preset receiving end in real time through the communication module when the alarm is triggered. The alarm information includes the real-time location coordinates of the device, the time when the alarm is triggered, the relative distance between the device and the target object, the relative movement speed and the signal strength. The communication module can send alarm information to multiple preset receiving ends at the same time.

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

[0029] Furthermore, in the data processing module, the preset algorithm also includes a fuzzy logic algorithm, which is used to further analyze the integrated state parameters after fusion to determine whether the separation state of the device and the target object is normal separation or abnormal separation. The normal separation includes the user actively closing the connection between the device and the target object, and the abnormal separation includes the accidental separation of the device and the target object.

[0030] Furthermore, it also includes a device alarm module, which is used to receive an alarm instruction at the same time as the alarm information sending module sends the alarm information, so that the device can emit a sound alarm or a light alarm to remind the user to pay attention to the separation of the device and the target object.

[0031] Beneficial effects

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] (1) The present invention sets a variety of sensors on the intelligent anti-lost device and the target object, including distance sensors, acceleration sensors, gyroscopes and signal strength detection modules, etc., which can comprehensively collect multi-dimensional data such as the position coordinates, motion acceleration, rotation angular velocity and signal strength value of the device itself and the target object; combines the GPS module, Beidou positioning module and various wireless communication positioning technologies to achieve accurate acquisition of the position of the device and the target object; in the data processing link, the Kalman filter algorithm is used to fuse the collected data to effectively remove noise interference. Compared with the traditional single sensor or simple data processing method, the accuracy of comprehensive state parameters such as the relative position, relative motion speed and signal strength between the device and the target object is significantly improved, providing a reliable basis for subsequent judgment.

[0034] (2) The present invention further analyzes the integrated state parameters after fusion by introducing a fuzzy logic algorithm, and can accurately determine whether the separation state of the device and the target object is normal separation or abnormal separation; it effectively avoids false alarms caused by normal situations such as user active operation or short signal interruption, improves the intelligence 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 present invention 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. The alarm is triggered only when the distance between the device and the target object, the relative motion speed and the signal strength simultaneously meet the alarm conditions, which greatly improves the accuracy and reliability of the alarm judgment; once the alarm is triggered, not only will the device itself emit a sound or light alarm, but it can also send alarm information containing detailed information to multiple preset receiving terminals in real time through a communication module that supports multiple communication modes such as Bluetooth, Wi-Fi, and 4G / 5G, ensuring that users and relevant personnel can obtain information and take measures in a timely manner, effectively reducing the risk of losing the target object.

[0036] Figure 1 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0037] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Generally, the components of the embodiments of the present application described and shown in the drawings here 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 accompanying drawings is not intended to limit the scope of the present application for protection, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0039] Example 1:

[0040] like Figure 1 As shown, a control method for an intelligent anti-lost device, when implemented, includes the following steps:

[0041] Data collection: Assume that the user wears a smart anti-loss device on themselves, and the target object is the user's key. A small smart anti-loss terminal is attached to the key. The smart anti-loss device integrates 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). At the same time, the anti-loss terminal on the key is also equipped with corresponding sensors.

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

[0043] When the user moves with the device and key, the distance sensor measures the straight-line distance between the device and the key in real time, the acceleration sensor collects the acceleration of the device and key in three-dimensional space, the gyroscope obtains the rotational 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 detects that the distance between the device and the key is 2 meters, and the acceleration sensor detects that the acceleration of the device in the X-axis direction is 1m / s. 2 , the acceleration in the Y-axis direction is 0.5m / s 2 , the acceleration in the Z-axis direction is -0.3m / s 2 , the acceleration of the key in the X-axis direction is 0.8m / s 2 , the acceleration in the Y-axis direction is 0.4m / s 2 , the acceleration in the Z-axis direction is -0.2m / s 2 The gyroscope detects that the device's rotation angular velocity around the X-axis is 5° / s, around the Y-axis is 3° / s, and around the Z-axis is -2° / s. The key's rotation angular velocity around the X-axis is 4° / s, around the Y-axis is 2° / s, and around the Z-axis is -1° / s. The signal strength detection module detects that the Bluetooth signal strength is -60dBm.

[0045] Data processing: All the data collected above are input into the preset Kalman filter algorithm for fusion processing. The processing algorithm includes: X k =F k X K-1 +B k U K +W k

[0046] Among them F k is the state transfer matrix, F k is the control input matrix, W k is the process noise;

[0047] Δt is the sampling time interval.

[0048] After processing by the Kalman filter algorithm, noise interference is removed, and the comprehensive state parameters of the precise relative position, relative movement speed and signal strength of the device and the key are obtained. For example, the relative distance is 1.98 meters, the relative movement speed in the X-axis direction is 0.2m / s, the Y-axis direction is 0.1m / s, the Z-axis direction is -0.1m / s, and the signal strength is -59dBm.

[0049] Then, the preset fuzzy logic algorithm is used to further analyze the fused comprehensive state parameters.

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

[0051] Where i is the input variable, j is the fuzzy level, C i，j is the central value of the membership function, σ i，j is the width parameter.

[0052] This algorithm determines whether the device and key are separated normally or abnormally. If the user actively closes the connection between the device and key, the system identifies it as a normal separation. If no active operation is performed, but the distance between the device and key increases rapidly or the signal strength drops sharply, it is identified as an abnormal separation.

[0053] Analysis and judgment: Preset alarm thresholds, distance thresholds set as follows: indoor distance threshold: 5 meters, outdoor distance threshold: 10 meters; relative motion speed threshold: 1m / s; signal strength threshold: -70dBm. The comprehensive status parameters obtained by the data processing module are compared with the preset alarm thresholds. When the distance between the device and the key in the comprehensive status parameters exceeds the corresponding distance threshold (such as 12 meters in outdoor scenarios), and the relative motion speed exceeds the relative motion speed threshold (such as relative motion speed of 1.5m / s in the X-axis direction, 1m / s in the Y-axis direction, and 0.8m / s in the Z-axis direction, with the total speed exceeding 1m / s), and the signal strength is lower than the signal strength threshold (such as signal strength of -75dBm), the alarm is triggered.

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

[0055] At the same time, the device alarm module receives the alarm command, causing the intelligent anti-lost device to emit a sound alarm (such as a continuous beep) or a light alarm (such as a flashing red light) to remind the user that the device and the key are separated.

[0056] This intelligent anti-loss device can accurately collect various data of the device and the target object, and after effective processing and analysis, it can timely determine the separation status of the device and the target object, and quickly issue an alarm message in case of abnormal separation, providing users with reliable anti-loss protection and effectively reducing the risk of loss of the target object.

[0057] The above-described embodiments merely represent preferred embodiments of the present invention. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous modifications, improvements, and substitutions without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention.

Claims

1. A control method for an intelligent anti-lost device, characterized in that: The following steps are involved: Data collection: The distance sensor, acceleration sensor, gyroscope, and signal strength detection module installed on the smart anti-lost device collect the device's own position coordinates, motion acceleration, rotational angular velocity, and signal strength value between the device and the target object. At the same time, the corresponding sensors installed on the target object collect the target object's position coordinates, motion acceleration, and rotational angular velocity. Data processing: The collected data, including the device's own position coordinates, motion acceleration, rotational angular velocity, and signal strength between the device and the target object, as well as the target object's position coordinates, motion acceleration, and rotational angular velocity, are fed into a preset Kalman filter algorithm for fusion processing to remove noise interference and obtain the comprehensive state parameters of the precise relative position, relative motion velocity, and signal strength between the device and the target object. Analysis and judgment: Compare the comprehensive status parameters 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 in the comprehensive status parameters 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, an alarm is triggered. Alarm information sending: If an alarm is triggered, the alarm information will be sent to the preset receiving end in real time through the communication module. The alarm information includes the real-time location coordinates of the device, the time when the alarm is triggered, the relative distance between the device and the target object, the relative movement speed and 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 at the same time.

2. A control method for an intelligent anti-loss device according to claim 1, characterized in that: In the data collection step, the device's own location coordinates are obtained through the built-in GPS module, and the target object's location coordinates are obtained through 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-wideband positioning.

3. The control method for an intelligent anti-loss device according to claim 2, characterized in that: In the data processing step, the preset algorithm also includes a fuzzy logic algorithm, which is used to further analyze the integrated state parameters after fusion to determine whether the separation state of the device and the target object is normal separation or abnormal separation. The normal separation includes the user actively closing the connection between the device and the target object, and the abnormal separation includes the accidental separation of the device and the target object.

4. The control method for an intelligent anti-loss device according to claim 1, characterized in that: The step of sending the alarm information also includes sending an alarm instruction to the device itself, so that the device emits a sound alarm or a light alarm to remind the user to pay attention to the separation between the device and the target object.

5. The control method for intelligent anti-lost equipment according to claim 1, characterized in that: The formula of the Kalman filter algorithm in the data processing step is: X k =F k X K-1 +B k U K +W k Among them F k is the state transfer matrix, F k is the control input matrix, W k is the process noise; described Δt is the sampling time interval.

6. The control method for an intelligent anti-loss device according to claim 3, characterized in that: The formula of the fuzzy logic algorithm is: Where i is the input variable, j is the fuzzy level, C i，j is the central value of the membership function, σ i，j is the width parameter.

7. A control system for an intelligent anti-loss device, characterized in that: include: Data acquisition module: 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 installed on the intelligent anti-loss device, and at the same time collect the target object's position coordinates, motion acceleration and rotational angular velocity through the corresponding sensors installed on the target object. Data processing module: used to integrate the collected device's own position coordinates, motion acceleration, rotational angular velocity, signal strength values ​​between the device and the target object, as well as the target object's position coordinates, motion acceleration and rotational angular velocity into the preset Kalman filter algorithm for processing, remove noise interference, and obtain the 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 the preset alarm thresholds, the preset alarm thresholds include distance thresholds, relative movement speed thresholds and signal strength thresholds, where the distance thresholds are divided into indoor distance thresholds and outdoor distance thresholds 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, and the relative movement speed exceeds the relative movement speed threshold, and the signal strength is lower than the signal strength threshold, the alarm is triggered. Alarm information sending module: used to send alarm information to the preset receiving end in real time through the communication module when the alarm is triggered. The alarm information includes the real-time location coordinates of the device, the time when the alarm is triggered, the relative distance between the device and the target object, the relative movement speed and the signal strength. The communication module can send alarm information to multiple preset receiving ends at the same time.

8. The control system for intelligent anti-loss equipment according to claim 7, characterized in that: In the data acquisition module, the position coordinates of the device itself are obtained through the built-in GPS module or Beidou positioning module, and the position coordinates of the target object are obtained through the wireless communication positioning technology between the device and the target object.

9. The control system for intelligent anti-loss equipment according to claim 7, characterized in that: In the data processing module, the preset algorithm also includes a fuzzy logic algorithm, which is used to further analyze the integrated state parameters after fusion to determine whether the separation state of the device and the target object is normal separation or abnormal separation. The normal separation includes the user actively closing the connection between the device and the target object, and the abnormal separation includes the accidental separation of the device and the target object.

10. The control system for intelligent anti-loss equipment according to claim 7, characterized in that: It also includes a device alarm module, which is used to receive an alarm instruction at the same time as the alarm information sending module sends the alarm information, so that the device can emit a sound alarm or a light alarm to remind the user to pay attention to the separation of the device and the target object.

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