Fault diagnosis and repair method for intelligent door lock

Abstract

The invention discloses a fault diagnosis and repair method for an intelligent door lock. The fault diagnosis and repair method comprises a data acquisition step, a data transmission step, a fault diagnosis step and a fault grading step. Multiple sensors are arranged on key components such as fingerprint recognition, password input and motor driving of the intelligent door lock, operation data are collected in real time, and the data are transmitted to a cloud server or a local control terminal through a communication module. Data are analyzed by means of a fault diagnosis model constructed based on a machine learning algorithm, accurate diagnosis of faults is achieved, and the fault diagnosis model is divided into three levels according to the severity of the faults. And aiming at faults of different levels, automatic repair strategies such as hardware restarting, software updating, standby mode switching and parameter adjusting are adopted respectively, and after repair is executed, data are collected again for repair verification. The intelligent door lock fault can be quickly diagnosed, repairing is automatically completed, the stability and reliability of the door lock are effectively improved, and the use convenience and safety of a user are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of smart door locks, and in particular to a fault diagnosis and repair method for a smart door lock. Background Art

[0002] With the rapid development of the Internet of Things (IoT), smart door locks have become widely used in homes, offices, and other settings due to their convenience and security. However, as complex devices integrating multiple technologies, including electronics, mechanics, and software, smart door locks face numerous malfunctions during actual use.

[0003] From a hardware perspective, the fingerprint recognition module may not be able to accurately identify fingerprints due to lens contamination or damage to internal components; the keys of the password input module may have mechanical failures, such as failure to rebound or poor circuit contact, making it impossible for users to enter passwords normally; the motor of the motor drive module is prone to stalling, and the drive circuit may also fail, causing the lock tongue to be unable to extend and retract normally, affecting the door lock's switching function; once the power module fails, it may cause the entire door lock to stop working, seriously affecting the user's normal use.

[0004] On the software side, smart door lock algorithms may experience anomalies, causing functions like fingerprint recognition and password verification to fail. Furthermore, smart door locks typically rely on communication modules to interact with the outside world. Failures in these modules, such as unstable signals or disconnected connections, can also affect remote control and fault alarm functions.

[0005] Currently, when a smart door lock malfunctions, users are often required to detect the problem themselves and then contact a professional repair technician for on-site repair. This process is not only time-consuming, but while waiting for repairs, users may face issues such as inaccessibility and reduced security. Therefore, developing a method that can automatically diagnose and repair smart door lock malfunctions is crucial for improving the user experience and security of smart door locks. Summary of the Invention

[0006] The purpose of the present invention is to provide a fault diagnosis and repair method for an intelligent door lock to solve the problems raised in the above background technology.

[0007] By adopting the above technical solution, the operating status of each component of the smart door lock is monitored, analyzed and processed, ensuring the stable and reliable operation of the smart door lock.

[0008] Compared with the existing technology, the beneficial effects of the present invention are as follows: (1) The present invention realizes comprehensive and real-time collection of door lock operation data by setting up multiple sensors in various key components of the smart door lock, and with the help of a fault diagnosis model constructed based on a machine learning algorithm, it can quickly and accurately identify various fault types. Compared with the traditional manual diagnosis method, the efficiency and accuracy of fault diagnosis are greatly improved, and the fault diagnosis time is shortened.

[0009] (2) The present invention has formulated detailed and reasonable automatic repair strategies for different levels of faults, covering a variety of repair methods such as hardware restart, software update, backup mode switching, parameter adjustment, etc., which realizes the automatic repair of smart door lock faults, reduces the time users have to wait for professional maintenance personnel to come to their homes, greatly improves the convenience and satisfaction of users in using smart door locks, and enables smart door locks to quickly resume normal operation when a fault occurs. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a structural diagram; Figure 2 It is a structural diagram. DETAILED DESCRIPTION

[0011] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0012] See also Figure 1-2 The present invention provides a technical solution: a fault diagnosis and repair method for a smart door lock, comprising the following steps: Data collection steps: Sensors are respectively set on the fingerprint recognition module, password input module, motor drive module, power module, and communication module of the smart door lock to collect the operating data of each component in real time. The fingerprint recognition module is equipped with a pressure sensor and an image sensor, the password input module is equipped with a key travel sensor and a circuit on / off sensor, the motor drive module is equipped with a current sensor and a position sensor, the power module is equipped with a voltage sensor and a current sensor, and the communication module is equipped with a signal strength sensor.

[0013] In the data acquisition step, the pressure sensor is used to detect the force and time of finger pressing, the image sensor is used to obtain the fingerprint image, the key travel sensor is used to detect the key pressing depth and rebound, the circuit continuity sensor is used to detect the conduction state of the key circuit, the current sensor is used to monitor the working current of the motor, the position sensor is used to detect the position of the lock tongue, the voltage sensor and current sensor are used to monitor the output voltage and current of the power supply, and the signal strength sensor is used to detect the strength of the communication signal.

[0014] During actual production installation, the pressure sensor and image sensor are tightly integrated within the fingerprint recognition module, ensuring that the pressure sensor accurately detects changes in finger pressure and the image sensor clearly captures fingerprint images. For the password input module, a key travel sensor is installed within the key's mechanical transmission structure, enabling real-time monitoring of key travel changes. A circuit continuity sensor is connected to the key circuit to accurately detect the on / off state of the circuit. The motor driver module's current sensor is connected in series with the motor's power supply circuit, and a position sensor is installed near the lock tongue's motion track, using sensing elements to detect the lock tongue's position in real time. The power module's voltage sensor and current sensor are connected in parallel and series with the power supply's output circuit, respectively, to monitor the power supply's output voltage and current in real time. The communication module's signal strength sensor is installed near the communication antenna to accurately detect communication signal strength. Data collected by these sensors is transmitted via the lock's internal data line to the data processing unit for further processing.

[0015] Data transmission steps: The collected operating data is transmitted to the cloud server or local control terminal through the built-in communication module of the smart door lock. The communication module is a Wi-Fi module, Bluetooth module or ZigBee module.

[0016] When a smart door lock leaves the factory, users can select the appropriate communication module on the lock's setup screen based on their actual usage environment and needs. For example, in a home environment, if a stable Wi-Fi network is already available, a Wi-Fi module can be selected for data transmission; if short-range, low-power data transmission is required, a Bluetooth module can be selected; and in a smart home system, if collaboration with other smart devices is required, a ZigBee module can be selected. After selecting a communication module, users follow the corresponding operation process to complete the connection configuration between the communication module and the cloud server or local control terminal. During the data transmission process, the door lock uses a symmetric encryption algorithm to encrypt the collected data, generating encrypted data that is then sent through the communication module. Upon receiving the encrypted data, the cloud server or local control terminal decrypts it using the corresponding decryption key to obtain the original door lock operating data, ensuring the security and accuracy of the data transmission.

[0017] Fault diagnosis steps: The cloud server or local control terminal uses a preset fault diagnosis model built based on a machine learning algorithm to analyze data, determine the fault type based on the sensor data and historical data, and record the fault time, type, and related data.

[0018] When building the fault diagnosis model, a large amount of historical fault data and normal operation data for smart door locks is collected, including sensor data from various fault types, fault occurrence time, fault handling results, and other information. After cleaning, labeling, and preprocessing, this data is input into the machine learning algorithm model for training. Common machine learning algorithms include decision trees, support vector machines, and neural networks. By continuously adjusting the algorithm's parameters and structure, the fault diagnosis model can accurately identify various fault modes. In actual application, after receiving the data transmitted by the door lock, the cloud server or local control terminal inputs the data into the trained fault diagnosis model. The model analyzes and processes the data according to preset rules and algorithms, quickly determines the fault type, and records the diagnosis results in the system database.

[0019] Fault classification steps: According to the severity of the fault and the impact on the door lock function, the fault is divided into level one, level two, and level three faults.

[0020] Level 1 faults are faults that seriously affect the normal use of the door lock and may endanger safety, including motor drive module failures that cause the lock tongue to be unable to unlock normally, and power module failures that cause the door lock to fail to work; Level 2 faults are faults that affect the use of some functions of the door lock, including fingerprint recognition module failures and some key failures of the password input module; Level 3 faults are faults that have less impact on the use of the door lock, including unstable communication module signals and slight abnormalities in some sensor data.

[0021] The system pre-sets specific criteria and ranges for determining level 1, level 2, and level 3 faults. Once the fault diagnosis model determines the fault type, the system automatically compares that fault type with the preset fault classification criteria to determine the fault's level. For example, if a motor drive module fault is detected, preventing the lock tongue from unlocking properly, the system will classify the fault as a level 1 fault based on the preset criteria. If only the fingerprint recognition module is faulty and does not affect other unlocking methods, it will be classified as a level 2 fault. If only the communication module signal strength fluctuates within a certain range but does not affect basic functions, it will be classified as a level 3 fault. After determining the fault level, the system records the fault level information along with data such as the fault type and occurrence time, and initiates the corresponding processing flow based on the fault level.

[0022] A method for repairing a smart door lock comprises the following steps: Automatic repair steps: For level 1 faults, first restart the hardware, briefly cut off the door lock power supply by controlling the power module and then restore the power supply. If the fault is not eliminated, an emergency alarm is triggered and relevant personnel are contacted. For level 2 faults, software faults automatically download the latest software from the cloud server and install it. For hardware faults, the backup input method is switched and the user is prompted. For level 3 faults, parameter adjustment and optimization are automatically performed, and fault information is recorded and pushed regularly.

[0023] When the system identifies a Level 1 fault and initiates a hardware reboot, the door lock's internal microcontroller sends a control command to the power module, causing it to disconnect power to the door lock within a short period (e.g., 5 seconds) and then restore power. If the fault persists after the reboot, the microcontroller triggers an emergency alarm and sends an emergency alert text message or push notification to the user's mobile phone via the communication module, including information about the fault type and location. The fault information is also sent to the property monitoring center or a professional repair service platform. For software repair in Level 2 faults, if the system detects an algorithm anomaly in the fingerprint recognition module, the microcontroller sends a software update request to the cloud server via the communication module. After verifying the request's legitimacy, the cloud server sends the latest fingerprint recognition algorithm software to the door lock, which automatically downloads and installs the software. After installation, the door lock performs a functional test. If the fault is a hardware fault, such as a malfunctioning key on the password input module, the microcontroller automatically switches to a backup input logic, activating a backup key or directing the user to an alternate unlocking method. The user is notified of the current fault and alternate unlocking method via the door lock's display or mobile app. For level 3 faults, when the communication module signal is unstable, the microcontroller automatically adjusts the operating frequency and transmission power of the communication module based on the data detected by the signal strength sensor, attempting to optimize the communication signal. When there is a slight abnormality in the sensor data, the microcontroller performs digital filtering on the sensor data to remove noise interference and calibrates the data according to preset calibration parameters to ensure data accuracy.

[0024] Repair verification steps: After performing automatic repair, re-collect the operating data of related components, use the fault diagnosis model to determine whether the fault is successfully repaired, and feedback the repair results. If it is not repaired, repeat the relevant steps or notify professional personnel to handle it.

[0025] After completing the automatic repair operation, the system waits for a period of time (e.g., 30 seconds) to allow the door lock components to resume normal operation. It then restarts the data collection program to collect operating data from the relevant components. This newly collected data is then fed into the fault diagnosis model for analysis. If the fault diagnosis model determines that the door lock operating data is within the normal range and no previous fault type is detected, the fault is considered to have been repaired successfully. The system then sends a notification to the user's mobile phone via the communication module. If the fault is still detected or new abnormal data is detected, the fault is considered unresolved and the system re-executes the fault diagnosis and repair steps. If the fault cannot be repaired after multiple attempts, a professional maintenance technician is automatically contacted and provided with detailed fault information and repair recommendations to ensure the smart door lock can resume normal operation as soon as possible.

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

Claims

1. A fault diagnosis method for a smart door lock, characterized in that: The following steps are involved: Data collection steps: Sensors are set on the fingerprint recognition module, password input module, motor drive module, power module, and communication module of the smart door lock to collect the operating data of each component in real time. The fingerprint recognition module is equipped with a pressure sensor and an image sensor, the password input module is equipped with a key travel sensor and a circuit continuity sensor, the motor drive module is equipped with a current sensor and a position sensor, the power module is equipped with a voltage sensor and a current sensor, and the communication module is equipped with a signal strength sensor; Data transmission steps: The collected operating data is transmitted to the cloud server or local control terminal through the built-in communication module of the smart door lock; Fault diagnosis step: The cloud server or local control terminal uses a preset fault diagnosis model based on a machine learning algorithm to analyze data, determines the fault type based on the sensor data and historical data, and records the time, type, and related data of the fault; Fault classification steps: According to the severity of the fault and the impact on the door lock function, the fault is divided into level one, level two, and level three faults.

2. A fault diagnosis method for an intelligent door lock according to claim 1, characterized in that: In the data acquisition step, the pressure sensor is used to detect the force and time of finger pressing, the image sensor is used to obtain a fingerprint image, the key travel sensor is used to detect the pressing depth and rebound of the key, the circuit continuity sensor is used to detect the conduction state of the key circuit, the current sensor is used to monitor the working current of the motor, the position sensor is used to detect the position of the lock tongue, the voltage sensor and current sensor are used to monitor the output voltage and current of the power supply, and the signal strength sensor is used to detect the strength of the communication signal.

3. A fault diagnosis method for an intelligent door lock according to claim 1, characterized in that: The communication module is a Wi-Fi module, a Bluetooth module or a ZigBee module.

4. A fault diagnosis method for an intelligent door lock according to claim 1, characterized in that: The first-level fault is a fault that seriously affects the normal use of the door lock and may endanger safety, including a motor drive module failure that causes the lock tongue to be unable to unlock normally, and a power module failure that causes the door lock to be unable to work.

5. The fault diagnosis method for a smart door lock according to claim 1, characterized in that: The secondary fault is a fault that affects the use of some functions of the door lock, including a fingerprint recognition module fault and a partial key fault of the password input module.

6. A fault diagnosis method for a smart door lock according to claim 1, characterized in that: The third-level fault is a fault that has little impact on the use of the door lock, including unstable communication module signal and slight abnormality of some sensor data.

7. A method for repairing a smart door lock, for repairing a diagnosed fault of a smart door lock according to any one of claims 1 to 6, characterized in that: Automatic repair steps: For level 1 faults, first restart the hardware. If the fault persists, trigger an emergency alarm and contact relevant personnel. For secondary faults, software faults will automatically download updated software, and hardware faults will switch to the backup input mode and prompt the user; For level 3 faults, the system automatically adjusts and optimizes parameters, and records fault information and pushes it regularly; Repair verification steps: After performing automatic repair, re-collect the operating data of related components, use the fault diagnosis model to determine whether the fault is successfully repaired, and feedback the repair results. If it is not repaired, repeat the relevant steps or notify professional personnel to handle it.

8. The repair method according to claim 7, characterized in that: In the automatic repair step, the hardware restart operation is to control the power supply module to temporarily cut off the power supply of the door lock and then restore the power supply.

9. The repair method according to claim 7, characterized in that: In the automatic repair step, the software-related fault is repaired by automatically downloading the latest software from the cloud server and installing it.

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