Safety protection control system and method adaptive to intelligent door lock and medium

Abstract

The invention belongs to the technical field of intelligent door lock management and control, and particularly relates to a safety protection control system and method matched with an intelligent door lock and a medium, and the system comprises the intelligent door lock, a cloud server and a user terminal. The intelligent door lock is provided with an Internet of Things communication module, a data encryption storage module, a multi-mode biological recognition module, a lock body opening and closing driving module and an anti-prying alarm module. By integrating multiple technologies such as biological recognition, Internet of Things communication, data encryption and remote monitoring, high-level safety protection of the door lock is achieved, meanwhile, the convenience of user operation is guaranteed, the potential safety hazard condition of the intelligent door lock is analyzed through the door lock potential hazard analysis module, and the safety of the intelligent door lock is improved. When the door lock hidden danger controllable signal is generated, operation evaluation analysis is conducted on the intelligent door lock, progressive accurate evaluation and timely early warning can be conducted on the use hidden danger degree and the operation performance of the intelligent door lock, safe and stable operation of the intelligent door lock is guaranteed, the management and control difficulty of the intelligent door lock is reduced, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the field of smart door lock management and control technology, and specifically to a security protection control system, method and medium adapted for smart door locks. Background Art

[0002] Smart door locks are the executive components of door locks in access control systems. Their working principle is to use a motor to drive a mechanical lock cylinder to complete the original manual key turning action. With the rapid development of smart home technology, smart door locks are the primary line of defense for family security, and their safety and convenience are increasingly valued. The current smart door locks are difficult to integrate multiple biometric technologies and realize the safe and effective management of identity authentication. It is even more difficult to make a progressive and accurate assessment of the use risk level and operation performance of smart door locks and provide timely warnings, which is not conducive to ensuring the safe and stable operation of smart door locks and reducing the difficulty of their management and control. The degree of intelligence is low; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a security protection control system, method and medium suitable for smart door locks, which solves the problems that the prior art is difficult to integrate multiple biometric technologies and realize safe and effective management of identity authentication, and is even more unable to conduct progressive and accurate assessment of the degree of hidden dangers and operating performance of smart door locks and timely warnings, resulting in great difficulty in management and control and low degree of intelligence.

[0004] To achieve the above object, the present invention provides the following technical solutions: A security protection control system adapted for smart door locks, including smart door locks, cloud servers and user terminals, wherein the smart door locks are provided with an Internet of Things communication module, a data encryption storage module, a multimodal biometric recognition module, an unlocking drive module and an anti-pry alarm module; The smart door lock communicates with the cloud server through the IoT communication module, and the cloud server is wirelessly connected to the user terminal; the data storage encryption module has a built-in advanced encryption standard algorithm to encrypt and store and transmit biometric data, user information and communication data, and adopts a dynamic key management strategy to prevent data from being cracked or stolen; The multimodal biometric module supports multiple biometric authentication methods including fingerprint, facial recognition and iris recognition. Each authentication method collects data through a high-precision sensor and compares it with the user's biometric information pre-stored in the data encryption storage module. When the comparison is successful, an unlocking instruction is sent to the unlocking drive module. After receiving the unlocking command, the unlocking drive module drives the lock body of the smart door lock to unlock it; the anti-pry alarm module monitors the smart door lock for prying. When someone tries to pry the door lock violently or crack it through technical means, the anti-pry alarm mechanism is triggered, and an alarm message is generated and pushed to the user terminal synchronously via the Internet of Things communication module and the cloud server.

[0005] Furthermore, the smart door lock is also equipped with a high-definition monitoring module and an unlocking request input module. The high-definition video monitoring module monitors the door through a high-definition camera and sends the monitoring video to the cloud server through the Internet of Things communication module; the unlocking request input module is used for personnel whose identity matching has not been successful or whose identity authentication information has not been entered to input unlocking requests; The IoT communication module transmits the unlocking request to the cloud server, and the cloud server sends the unlocking request and the real-time surveillance video in front of the door to the user terminal. After receiving the unlocking request and the real-time surveillance video, the user terminal displays them to the user, and after the user confirms the personnel and allows entry, it sends the unlocking instruction to the unlocking drive module.

[0006] Furthermore, the smart door lock is also provided with a door lock hidden danger analysis module, which analyzes the safety hidden danger status of the smart door lock, and generates a door lock hidden danger alarm signal or a door lock hidden danger controllable signal through analysis. When the door lock hidden danger alarm signal is generated, it is sent to the cloud server through the Internet of Things communication module, and the cloud server sends the door lock hidden danger alarm signal to the user terminal.

[0007] Furthermore, the specific analysis process of the door lock hidden danger analysis module includes: The production date of the smart door lock is collected, and the time difference between the production date and the current date is calculated to obtain the door lock production time value, and the door lock production time value is compared with the preset door lock production time threshold. If the door lock production time value exceeds the preset door lock production time threshold, a door lock hidden danger alarm signal is generated; If the door lock production time value does not exceed the preset door lock production time threshold, the door lock state monitoring analysis is performed to determine whether the smart door lock is in an unsafe door lock state, and the total duration of the smart door lock in the unsafe door lock state in the historical stage is collected and marked as the door lock unsafe detection value, and the number of occurrences of the single duration of the smart door lock in the unsafe door lock state in the historical stage exceeding the corresponding preset duration threshold is marked as the door lock damage frequency; The door lock hidden danger characteristic value is obtained by numerically calculating the door lock production time value, the door lock non-safety detection value and the door lock damaged frequency, and the door lock hidden danger characteristic value is numerically compared with the preset door lock hidden danger characteristic threshold. If the door lock hidden danger characteristic value exceeds the preset door lock hidden danger characteristic threshold, a door lock hidden danger alarm signal is generated; if the door lock hidden danger characteristic value does not exceed the preset door lock hidden danger characteristic threshold, a door lock hidden danger controllable signal is generated.

[0008] Furthermore, the specific analysis process of door lock status monitoring and analysis is as follows: The temperature of the smart door lock is collected and its deviation from the preset suitable temperature standard value is marked as the door lock temperature deviation value, and the humidity, dust concentration and electromagnetic intensity of the environment in which the smart door lock is located are collected and marked as the environmental humidity detection value, environmental pollution value and environmental magnetic intensity value respectively, and the vibration amplitude of the smart door lock caused by mechanical impact is collected and marked as the door lock vibration condition value; The door lock state monitoring coefficient is calculated by weighted summing up the door lock temperature deviation value, environmental humidity detection value, environmental pollution value, environmental magnetic strength value and door lock vibration condition value, and the door lock state monitoring coefficient is numerically compared with the preset door lock state monitoring coefficient threshold. If the door lock state monitoring coefficient exceeds the preset door lock state monitoring coefficient threshold, it is judged that the smart door lock is in an unsafe state.

[0009] Furthermore, the door lock hidden danger analysis module is communicatively connected to the door lock operation evaluation module, and the door lock hidden danger analysis module sends the door lock hidden danger controllable signal to the door lock operation evaluation module. When the door lock operation evaluation module receives the door lock hidden danger controllable signal, it performs operation evaluation and analysis on the smart door lock, and generates a door lock operation qualified signal or a door lock operation alarm signal through analysis, and sends the door lock operation alarm signal to the cloud server via the Internet of Things communication module, and the cloud server sends the door lock operation alarm signal to the user terminal.

[0010] Furthermore, the specific analysis process of the door lock operation evaluation module is as follows: When the unlocking drive module receives the unlocking instruction, the corresponding moment is marked as the unlocking initial moment, the moment when the unlocking drive module drives the lock body to complete the intelligent door lock unlocking operation is marked as the unlocking end moment, and the interval between the unlocking initial moment and the start and end moments is marked as the unlocking operation duration; The lock body movement speed at several detection time points in the corresponding unlocking process is collected, and the lock body movement speed at all detection time points is calculated by variance to obtain the lock body speed control fluctuation value; the noise decibel values ​​generated by the smart door lock at several detection time points in the corresponding unlocking process are collected, and the noise decibel values ​​at all detection time points are calculated by average to obtain the unlocking noise value; The unlocking control evaluation value is obtained by numerically calculating the unlocking operation time, the lock body speed control fluctuation value and the unlocking noise value, and the unlocking control evaluation value is numerically compared with the preset unlocking control evaluation threshold. If the unlocking control evaluation value exceeds the preset unlocking control evaluation threshold, the corresponding unlocking operation is marked as an abnormal control operation; The number of abnormal control operations per unit time is obtained and the ratio thereof is calculated with the total number of unlocking operations to obtain an abnormal control detection value, and the abnormal control detection value is numerically compared with a preset abnormal control detection threshold. If the abnormal control detection value exceeds the preset abnormal control detection threshold, a door lock operation alarm signal is generated; If the abnormal control detection value does not exceed the preset abnormal control detection threshold, the unlocking control evaluation values ​​of all unlocking operations in unit time are averaged to obtain the unlocking control table value, and the unlocking control evaluation value with the largest value in unit time is marked as the unlocking abnormal amplitude value; The door lock operation evaluation value is obtained by numerically calculating the abnormal control detection value, the unlocking control meter value and the unlocking abnormal amplitude value, and the door lock standby energy consumption value is obtained by analyzing the door lock standby energy consumption. The door lock operation evaluation value and the door lock standby consumption meter value are numerically compared with the preset door lock operation evaluation threshold and the preset door lock standby consumption meter threshold. If the door lock operation evaluation value or the door lock standby consumption meter value exceeds the corresponding preset threshold, a door lock operation alarm signal is generated; if both the door lock operation evaluation value and the door lock standby consumption meter value do not exceed the corresponding preset threshold, a door lock operation qualified signal is generated.

[0011] Furthermore, the specific analysis process of the door lock standby energy consumption analysis is as follows: The power consumption rate of the smart door lock when it is in standby state is collected in real time, and the power consumption rate is compared with the preset power consumption rate range. If the power consumption rate is not within the preset power consumption rate range, an abnormal power consumption symbol LP-1 is assigned; The number of times the power consumption abnormality symbol LP-1 is assigned per unit time is obtained and marked as the standby consumption frequency value, and the standby consumption frequency value is ratioed with the total time the smart door lock is in standby state per unit time to obtain the door lock standby consumption meter value.

[0012] Furthermore, the security protection control method adapted for the smart door lock proposed in the present invention comprises the following steps: Step 1: The data storage encryption module encrypts, stores and transmits biometric data, user information and communication data; Step 2: The multimodal biometric recognition module collects user information and compares identity through multiple biometric authentication methods; Step 3: When the comparison is successful, an unlocking instruction is sent to the unlocking drive module; Step 4: When the comparison is unsuccessful, the corresponding unlocking personnel sends an unlocking request through the unlocking request input module, and the cloud server sends the unlocking request and the real-time monitoring video in front of the door to the user terminal. After receiving the unlocking request and the real-time monitoring video, the user terminal displays them to the user, and after the user confirms and allows entry, sends the unlocking instruction to the unlocking drive module; Step 5: After receiving the unlocking instruction, the unlocking drive module drives the lock body of the smart door lock to unlock the door.

[0013] Furthermore, the present invention also proposes a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned security protection control method adapted for smart door locks is implemented.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the identity of the unlocking personnel is authenticated through the multimodal biometric recognition module, and an unlocking instruction is sent to the unlocking drive module when the comparison is successful. The personnel whose identity comparison is unsuccessful or whose identity authentication information is not entered inputs an unlocking request through the unlocking request input module, and after the user confirms the personnel and allows entry, the unlocking instruction is sent to the unlocking drive module, which ensures the safety of the residence and facilitates the entry and exit of visitors. When someone tries to pry the door lock violently or crack it by technical means, the anti-pry alarm mechanism is triggered to achieve high-level security protection of the door lock; 2. In the present invention, the safety hazard status of the smart door lock is analyzed through the door lock hidden danger analysis module, and the operation evaluation and analysis of the smart door lock is performed through the door lock operation evaluation module when the door lock hidden danger controllable signal is generated. When the door lock hidden danger alarm signal or the door lock operation alarm signal is generated, the user is reminded to take corresponding measures for the smart door lock, which is beneficial to reduce the risk of using the smart door lock and reduce the difficulty of user control over the smart door lock, and has a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 It is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention; Figure 3 This is a flow chart of the method of Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0017] Embodiment 1: Figure 1 As shown, the security protection control system adapted to the smart door lock proposed by the present invention includes a smart door lock, a cloud server and a user terminal, wherein the smart door lock is provided with an Internet of Things communication module, a data encryption storage module, a multimodal biometric recognition module, an unlocking drive module and an anti-pry alarm module; Smart door locks communicate with cloud servers through IoT communication modules (using low-power wide area network (LPWAN) technology, such as LoRa or NB-IoT, to achieve stable, low-power communication between smart door locks and cloud servers). Cloud servers are wirelessly connected to user terminals, and users can view door lock status in real time, receive abnormal alarms (such as brute force cracking attempts, illegal intrusions, etc.), and remotely control the door lock's opening and closing; The data storage encryption module has a built-in Advanced Encryption Standard (AES) algorithm to encrypt, store and transmit biometric data, user information and communication data to ensure the security of information transmission. It also adopts a dynamic key management strategy and regularly replaces keys to prevent data from being cracked or stolen. The multimodal biometric module supports multiple biometric authentication methods such as fingerprint, facial recognition and iris recognition. Each authentication method collects data through a high-precision sensor and compares it with the user's biometric information pre-stored in the data encryption storage module to ensure the accuracy and security of identity authentication. When the comparison is successful, an unlocking command is sent to the unlocking drive module.

[0018] After receiving the unlocking instruction, the unlocking drive module drives the lock body of the smart door lock to unlock it; the anti-pry alarm module monitors the smart door lock for prying. When someone tries to pry the door lock violently or crack it through technical means, the anti-pry alarm mechanism is triggered, and alarm information is generated and pushed to the user terminal through the Internet of Things communication module and the cloud server simultaneously, which significantly improves the anti-theft effect; the present invention integrates multiple technologies such as biometrics, Internet of Things communication, data encryption and remote monitoring to achieve high-level security protection for door locks while ensuring the convenience of user operation.

[0019] Furthermore, the smart door lock is also equipped with a high-definition monitoring module and an unlocking request input module. The high-definition video monitoring module monitors the door through a high-definition camera, which is convenient for users to remotely view the situation outside the door, and sends the monitoring video to the cloud server through the Internet of Things communication module; the unlocking request input module is used for people who have failed to successfully match their identity or have not entered their identity authentication information to input unlocking requests; The IoT communication module transmits the unlocking request to the cloud server, and the cloud server sends the unlocking request and the real-time surveillance video in front of the door to the user terminal. After receiving the unlocking request and the real-time surveillance video, the user terminal displays them to the user. After the user confirms the personnel and allows entry, the unlocking instruction is sent to the unlocking drive module. This ensures the safety of the residents while facilitating the entry and exit of visitors, with a high degree of intelligence.

[0020] Embodiment 2: Figure 2As shown, the difference between this embodiment and the first embodiment is that a door lock hidden danger analysis module is further provided in the smart door lock, and the door lock hidden danger analysis module analyzes the safety hidden danger status of the smart door lock, generates a door lock hidden danger alarm signal or a door lock hidden danger controllable signal through the analysis, and when the door lock hidden danger alarm signal is generated, it is sent to the cloud server through the Internet of Things communication module; The cloud server sends the door lock hidden danger alarm signal to the user terminal. When the user terminal receives the door lock hidden danger alarm signal, it issues a corresponding warning, which can comprehensively analyze and accurately determine the degree of hidden dangers in the use of smart door locks, so as to remind users to replace smart door locks in time, which is conducive to reducing the risk of using smart door locks and reducing the difficulty of users managing smart door locks. The intelligent level is high; the specific analysis process of the door lock hidden danger analysis module is as follows: The production date of the smart door lock is collected, and the time difference between the production date and the current date is calculated to obtain the door lock production time value, and the door lock production time value is compared with the preset door lock production time threshold. If the door lock production time value exceeds the preset door lock production time threshold, it indicates that the smart door lock is difficult to maintain safe and stable operation and needs to be replaced in time, and a door lock hidden danger alarm signal is generated; If the door lock production time value does not exceed the preset door lock production time threshold, the door lock state monitoring analysis is performed to determine whether the smart door lock is in a door lock unsafe state, specifically: the temperature of the smart door lock is collected and its deviation value compared to the preset suitable temperature standard value is marked as the door lock temperature deviation value, and the humidity, dust concentration and electromagnetic intensity of the environment where the smart door lock is located are collected and marked as the environmental humidity detection value, environmental pollution value and environmental magnetic strength value respectively, and the vibration amplitude of the smart door lock caused by mechanical impact is collected and marked as the door lock vibration condition value; The door lock state monitoring coefficient MX is calculated by weighted summing the door lock temperature deviation value XR, the environmental humidity detection value TL, the environmental pollution value PN, the environmental magnetic strength value QW and the door lock vibration value FY through the formula MX=(aq×XR+tu×TL+hy×PN+re×QW+np×FY) / 5; wherein aq, tu, hy, re, np are preset weight coefficients with values ​​greater than zero, and the larger the value of the door lock state monitoring coefficient MX, the more vulnerable the smart door lock is to damage. Compare the door lock state monitoring coefficient MX with the preset door lock state monitoring coefficient threshold. If the door lock state monitoring coefficient MX exceeds the preset door lock state monitoring coefficient threshold, it indicates that the smart door lock is currently more vulnerable to damage, and the smart door lock is judged to be in a door lock unsafe state. The total duration of the smart door lock in the door lock unsafe state in the historical stage is collected and marked as the door lock unsafe detection value, and the number of occurrences of the single duration of the smart door lock in the door lock unsafe state in the historical stage exceeding the corresponding preset duration threshold is marked as the door lock damage frequency; The door lock hidden danger characteristic value SY is obtained by numerically calculating the door lock production time value WP, the door lock unsafe detection value ZF and the door lock damaged frequency HW through the formula SY=(rg×WP+uy×ZF) / 2+kp×HW; wherein rg, uy, kp are preset weight coefficients with values ​​greater than zero, and the larger the value of the door lock hidden danger characteristic value SY, the worse the reliability of the smart door lock, the greater the safety hazard, and the more timely replacement is needed; The door lock hidden danger characteristic value SY is numerically compared with the preset door lock hidden danger characteristic threshold. If the door lock hidden danger characteristic value SY exceeds the preset door lock hidden danger characteristic threshold, it indicates that the reliability of the smart door lock is poor, the existing safety hazards are large, and it needs to be replaced in time, then a door lock hidden danger alarm signal is generated; if the door lock hidden danger characteristic value SY does not exceed the preset door lock hidden danger characteristic threshold, it indicates that the reliability of the smart door lock is good, the existing safety hazards are small, then a door lock hidden danger controllable signal is generated.

[0021] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the door lock hidden danger analysis module is communicatively connected to the door lock operation evaluation module, the door lock hidden danger analysis module sends the door lock hidden danger controllable signal to the door lock operation evaluation module, and the door lock operation evaluation module performs operation evaluation and analysis on the smart door lock when receiving the door lock hidden danger controllable signal, and generates a door lock operation qualified signal or a door lock operation alarm signal through analysis; The door lock operation alarm signal is sent to the cloud server through the IoT communication module. The cloud server sends the door lock operation alarm signal to the user terminal. When the user terminal receives the door lock operation alarm signal, it issues a corresponding warning, which can reasonably analyze and accurately evaluate the operation performance of the smart door lock, which is conducive to users to conduct timely cause investigation and analysis and conduct corresponding inspection and maintenance of the smart door lock, ensuring the safe and efficient operation of the smart door lock; the specific analysis process of the door lock operation evaluation module is as follows: When the unlocking drive module receives the unlocking instruction, the corresponding moment is marked as the unlocking initial moment, the moment when the unlocking drive module drives the lock body to complete the unlocking operation of the smart door lock is marked as the unlocking end moment, and the interval between the unlocking initial moment and the start and end moments is marked as the unlocking operation duration; it should be noted that the larger the value of the unlocking operation duration, the slower the corresponding unlocking operation; The lock body movement speed at several detection time points (the interval between two adjacent detection time points is the same) during the corresponding unlocking process is collected, and the lock body movement speed at all detection time points is calculated by variance to obtain the lock body speed control fluctuation value, wherein the larger the lock body speed control fluctuation value is, the more unstable the lock body speed control of the unlocking operation is; and the noise decibel values ​​generated by the smart door lock at several detection time points (the interval between two adjacent detection time points is the same) during the corresponding unlocking process are collected, and the noise decibel values ​​at all detection time points are averaged to obtain the unlocking noise value; The unlocking operation duration GY, the lock body speed control fluctuation value HM and the unlocking noise value ZR are numerically calculated by the formula TW=tp×GY+es×HM+mg×ZR to obtain the unlocking control evaluation value TW; wherein tp, es, and mg are preset weight coefficients with values ​​greater than zero, and the larger the value of the unlocking control evaluation value TW, the worse the overall operation performance of the corresponding unlocking operation of the smart door lock is; The unlocking control evaluation value TW is numerically compared with the preset unlocking control evaluation threshold. If the unlocking control evaluation value TW exceeds the preset unlocking control evaluation threshold, it indicates that the operation performance of the corresponding unlocking operation of the smart door lock is generally poor, and the corresponding unlocking operation is marked as an abnormal control operation; The number of abnormal control operations per unit time is obtained and the ratio thereof is calculated with the total number of unlocking operations to obtain an abnormal control detection value, and the abnormal control detection value is numerically compared with a preset abnormal control detection threshold. If the abnormal control detection value exceeds the preset abnormal control detection threshold, it indicates that the unlocking performance of the smart door lock per unit time is initially poor, and a door lock operation alarm signal is generated; If the abnormal control detection value does not exceed the preset abnormal control detection threshold, the unlocking control evaluation values ​​of all unlocking operations in unit time are averaged to obtain the unlocking control table value, and the unlocking control evaluation value with the largest value in unit time is marked as the unlocking abnormal amplitude value; The door lock operation evaluation value WP is obtained by numerically calculating the abnormal control detection value XF, the unlocking control table value PW and the unlocking abnormal amplitude value GK through the formula WP=b1×XF+(b2×PW+b3×GK) / 2; wherein b1, b2, and b3 are preset weight coefficients, b1>b2>b3>0; and the larger the value of the door lock operation evaluation value WP is, the better the unlocking performance of the smart door lock in unit time is overall; And collect the power consumption rate when the smart door lock is in standby state (that is, the smart door lock is not performing unlocking and other operations) in real time, compare the power consumption rate with the preset power consumption rate range, if the power consumption rate is not within the preset power consumption rate range, it indicates that the power consumption at the corresponding detection time is abnormal, and the power consumption abnormality symbol LP-1 is assigned; The number of times the power consumption abnormality symbol LP-1 is assigned per unit time is obtained and marked as the standby consumption frequency value, and the standby consumption frequency value is calculated by ratio with the total time that the smart door lock is in the standby state per unit time to obtain the door lock standby consumption meter value YP; it should be noted that the larger the value of the door lock standby consumption meter value, the more abnormal the energy consumption performance of the smart door lock in the standby state per unit time; The door lock operation evaluation value WP and the door lock standby consumption meter value YP are numerically compared with the preset door lock operation evaluation threshold and the preset door lock standby consumption meter threshold. If the door lock operation evaluation value WP or the door lock standby consumption meter value YP exceeds the corresponding preset threshold, indicating that the operation performance of the smart door lock in unit time is generally good, then a door lock operation alarm signal is generated; if the door lock operation evaluation value WP and the door lock standby consumption meter value YP do not exceed the corresponding preset threshold, indicating that the operation performance of the smart door lock in unit time is generally poor, and the probability of abnormality is high, then a door lock operation qualified signal is generated.

[0022] Embodiment 4: Figure 3 As shown, the difference between this embodiment and the first, second and third embodiments is that the security protection control method adapted to the smart door lock proposed in the present invention includes the following steps: Step 1: The data storage encryption module encrypts, stores and transmits biometric data, user information and communication data; Step 2: The multimodal biometric recognition module collects user information and compares identity through multiple biometric authentication methods; Step 3: When the comparison is successful, an unlocking instruction is sent to the unlocking drive module; Step 4: When the comparison is unsuccessful, the corresponding unlocking personnel sends an unlocking request through the unlocking request input module, and the cloud server sends the unlocking request and the real-time monitoring video in front of the door to the user terminal. After receiving the unlocking request and the real-time monitoring video, the user terminal displays them to the user, and after the user confirms and allows entry, sends the unlocking instruction to the unlocking drive module; Step 5: After receiving the unlocking instruction, the unlocking drive module drives the lock body of the smart door lock to unlock the door.

[0023] The present invention also proposes a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the security protection control method adapted to the smart door lock described above is implemented. A person of ordinary skill in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to the computer program. The aforementioned computer program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other media that can store program codes.

[0024] The working principle of the present invention is as follows: when in use, the identity of the unlocking personnel is authenticated through the multimodal biometric recognition module, and an unlocking instruction is sent to the unlocking drive module when the comparison is successful. The personnel whose identity comparison is unsuccessful or whose identity authentication information is not entered inputs an unlocking request through the unlocking request input module, and after the user confirms the personnel and allows entry, the unlocking instruction is sent to the unlocking drive module. After receiving the unlocking instruction, the unlocking drive module drives the lock body of the smart door lock to unlock the door, which facilitates visitors to enter and exit while ensuring residential safety. When someone tries to pry the door lock violently or crack it through technical means, the anti-pry alarm mechanism is triggered to achieve high-level security protection of the door lock, and the safety hazard status of the smart door lock is analyzed through the door lock hidden danger analysis module. When the door lock hidden danger controllable signal is generated, the operation evaluation and analysis of the smart door lock is performed through the door lock operation evaluation module, which can perform progressive and accurate evaluation of the use hazard degree and operation performance of the smart door lock and timely warning, which is conducive to ensuring the safe and stable operation of the smart door lock and reducing its management and control difficulty, and has a high degree of intelligence.

[0025] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A security protection control system adapted to smart door locks, characterized in that: It includes a smart door lock, a cloud server and a user terminal, wherein the smart door lock is provided with an Internet of Things communication module, a data encryption storage module, a multimodal biometric recognition module, an unlocking drive module and an anti-theft alarm module; the smart door lock communicates with the cloud server through the Internet of Things communication module, and the cloud server is wirelessly connected to the user terminal; the data storage encryption module encrypts, stores and transmits biometric data, user information and communication data, and adopts a dynamic key management strategy to prevent data from being cracked or stolen; The multimodal biometric recognition module supports multiple biometric authentication methods. Each authentication method collects data through a high-precision sensor and compares it with the user's biometric information pre-stored in the data encryption storage module. When the comparison is successful, an unlocking instruction is sent to the unlocking drive module. After receiving the unlocking command, the unlocking drive module drives the lock body of the smart door lock to unlock it; the anti-pry alarm module monitors the smart door lock for prying. When someone tries to pry the door lock violently or crack it through technical means, the anti-pry alarm mechanism is triggered, and an alarm message is generated and pushed to the user terminal synchronously via the Internet of Things communication module and the cloud server.

2. The security protection control system adapted for smart door locks according to claim 1, characterized in that: The smart door lock is also equipped with a high-definition monitoring module and an unlocking request input module. The high-definition video monitoring module monitors the door through a high-definition camera and sends the monitoring video to the cloud server through the Internet of Things communication module; The unlock request input module is used for personnel whose identity matching has not been successful or whose identity authentication information has not been entered to input an unlock request; The IoT communication module transmits the unlocking request to the cloud server, and the cloud server sends the unlocking request and the real-time surveillance video in front of the door to the user terminal. After receiving the unlocking request and the real-time surveillance video, the user terminal displays them to the user, and after the user confirms the personnel and allows entry, it sends the unlocking instruction to the unlocking drive module.

3. The security protection control system adapted for smart door locks according to claim 2, characterized in that: The smart door lock is also equipped with a door lock hidden danger analysis module, which analyzes the safety hazard status of the smart door lock, and generates a door lock hidden danger alarm signal or a door lock hidden danger controllable signal through analysis. When the door lock hidden danger alarm signal is generated, it is sent to the cloud server through the Internet of Things communication module, and the cloud server sends the door lock hidden danger alarm signal to the user terminal.

4. The security protection control system adapted for smart door locks according to claim 3, characterized in that: The specific analysis process of the door lock hidden danger analysis module includes: If the door lock production time value exceeds the preset door lock production time threshold, a door lock hidden danger alarm signal is generated; if the door lock production time value does not exceed the preset door lock production time threshold, the door lock status monitoring and analysis is performed to determine whether the smart door lock is in an unsafe state. The door lock hidden danger characteristic value is obtained by numerically calculating the door lock production time value, the door lock unsafe detection value and the door lock damaged frequency. If the door lock hidden danger characteristic value exceeds the preset door lock hidden danger characteristic threshold, a door lock hidden danger alarm signal is generated; otherwise, a door lock hidden danger controllable signal is generated.

5. The security protection control system adapted for smart door locks according to claim 4, characterized in that: The specific analysis process of door lock status monitoring and analysis is as follows: The door lock state monitoring coefficient is calculated by weighted summing up the door lock temperature deviation value, environmental humidity detection value, environmental pollution value, environmental magnetic strength value and door lock vibration condition value. If the door lock state monitoring coefficient exceeds the preset door lock state monitoring coefficient threshold, it is judged that the smart door lock is in an unsafe state.

6. The security protection control system adapted for smart door locks according to claim 4, characterized in that: The door lock hidden danger analysis module is communicatively connected to the door lock operation evaluation module. The door lock hidden danger analysis module sends the door lock hidden danger controllable signal to the door lock operation evaluation module. When the door lock operation evaluation module receives the door lock hidden danger controllable signal, it performs operation evaluation and analysis on the smart door lock, generates a door lock operation qualified signal or a door lock operation alarm signal through analysis, and sends the door lock operation alarm signal to the cloud server via the Internet of Things communication module, and the cloud server sends the door lock operation alarm signal to the user terminal.

7. The security protection control system adapted for smart door locks according to claim 6, characterized in that: The specific analysis process of the door lock operation evaluation module is as follows: The unlocking control evaluation value is obtained by numerically calculating the unlocking operation time, the lock body speed control fluctuation value and the unlocking noise value. If the unlocking control evaluation value exceeds the preset unlocking control evaluation threshold, the corresponding unlocking operation is marked as an abnormal control operation; the number of abnormal control operations per unit time is obtained and the ratio is calculated with the total number of unlocking operations to obtain the abnormal control detection value. If the abnormal control detection value exceeds the preset abnormal control detection threshold, a door lock operation alarm signal is generated; If the abnormal control detection value does not exceed the preset abnormal control detection threshold, the door lock operation evaluation value is obtained by numerically calculating the abnormal control detection value, the unlocking control meter value and the unlocking abnormal amplitude value, and the door lock standby energy consumption is analyzed to obtain the door lock standby consumption meter value. If the door lock operation evaluation value or the door lock standby consumption meter value exceeds the corresponding preset threshold, a door lock operation alarm signal is generated; otherwise, a door lock operation qualified signal is generated.

8. The security protection control system adapted for smart door locks according to claim 7, characterized in that: The specific analysis process of door lock standby energy consumption analysis is as follows: Real-time collection of the power consumption rate of the smart door lock when it is in standby mode. If the power consumption rate is not within the preset power consumption rate range, an abnormal power consumption symbol LP-1 is assigned; The number of times the power consumption abnormality symbol LP-1 is assigned per unit time is obtained and marked as the standby consumption frequency value, and the standby consumption frequency value is ratioed with the total time the smart door lock is in standby state per unit time to obtain the door lock standby consumption meter value.

9. A security protection control method adapted for smart door locks, characterized in that: The method adopts the security protection control system adapted to the smart door lock as described in any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the security protection control method adapted for a smart door lock described in claim 9 is implemented.

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