An artificial intelligence door protection system
The intelligent door protection system, which integrates modules such as thermal imaging temperature sensing modules, solves the problems of existing technologies that cannot identify illegal intrusions and that protection devices cannot respond quickly. It realizes real-time monitoring and protection against illegal intrusions and impacts, improving user safety and convenience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- EQUES TECH
- Filing Date
- 2024-03-07
- Publication Date
- 2026-06-02
AI Technical Summary
Existing AI-powered door security devices are unable to effectively identify illegal intrusions and cannot react quickly to impacts, resulting in poor user convenience.
It employs a thermal imaging temperature sensing module, a status monitoring module, a user identification module, an abnormal intrusion detection module, a collision detection and recovery module, and an early warning terminal, combined with a database, to achieve real-time monitoring and response to illegal intrusion and impacts, including the switching control of the protective shell and the recovery of intelligent devices.
It enables timely identification and response to unauthorized intrusions, protects the automatic closing of the casing and the recycling of smart devices, thus improving user security and convenience.
Smart Images
Figure CN118247877B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent door protection technology, and more specifically to an artificial intelligence door protection system. Background Technology
[0002] Artificial intelligence (AI) is one of the hottest technology fields in the world today, and its applications are becoming increasingly widespread. In the field of security and protection, AI technology is also being used more and more. Currently, most AI-powered door protection systems on the market simply change the shell material to protect the intelligent device. However, these systems lack the ability to respond to illegal intrusions and provide proactive protection against impacts. The implementation of these functions would bring greater convenience to users.
[0003] The existing artificial intelligence doorbell technology has the following defects: (1) Most existing artificial intelligence door protection devices can only react to human operational errors, such as incorrect password input or inconsistent card information, and cannot effectively identify illegal intrusion, and react to and alarm for illegal intrusion.
[0004] (2) Most existing artificial intelligence door protection devices cannot effectively protect against impacts, nor can they detect excessive pressure. Furthermore, they do not have the function of protecting and retrieving the intelligent device when there is a violent external collision or when subjected to great pressure. Summary of the Invention
[0005] To address the aforementioned technical shortcomings, the present invention aims to provide an artificial intelligence door protection system.
[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides an artificial intelligence door protection system, including: a thermal imaging temperature sensing module, a status monitoring module, a user identification module, an abnormal intrusion detection module, a collision detection and recovery module, an early warning terminal, and a database.
[0007] The thermal imaging temperature sensing module is used to draw a semicircle with the intelligent device of the protective door as the center and a preset distance as the radius, and the semicircle range as the monitoring range. It acquires the thermal imaging image information of the intelligent device of the protective door within the detection range and the distance between the person and the intelligent device at each collection time point, and determines whether to open the protective shell of the intelligent device.
[0008] The status monitoring module is used to detect the on / off status of the protective shell of the intelligent device on the protective door and to detect the operating status of the intelligent device, and to control the on / off status of the protective shell.
[0009] The user identification module is used to record the user as an operator when the intelligent device detects that someone is operating the protective door, determine whether the operator is a whitelist user recorded in the database, monitor the corresponding operation status of the operator, and determine whether the protective door is open.
[0010] The abnormal intrusion detection module is used to monitor abnormal intrusion parameters of the intelligent device of the protective door and determine whether the intelligent device has been subjected to abnormal intrusion.
[0011] The collision detection and recovery module is used to monitor the pressure value and duration of each pressure exposure of the intelligent device. When a collision occurs, it detects the collision speed of each impacting object and the number of collisions per unit time to determine whether the device needs to be recovered inward. When the device is recovered, it analyzes the recovery speed of the intelligent device.
[0012] The early warning terminal is used to issue an alarm and retrieve the protective door when it detects that the smart device has been subjected to abnormal intrusion.
[0013] The database is used to store whitelisted user information, preset unattended operation waiting time, preset maximum pressure value and preset pressure endurance time, maximum value of preset speed threshold and preset impact frequency, and the fastest recovery speed of the device.
[0014] Preferably, the specific process for determining whether to open the protective casing of the smart device is as follows:
[0015] Based on the thermal imaging image information within the detection range and the distance between the person and the smart device, the distance between the person and the smart device at each acquisition time point within the thermal imaging monitoring range is obtained. Then, the distance change rate of the person at each acquisition time point is calculated using the change rate calculation method. The distance change rate of the person at each acquisition time point is then compared with the preset distance change rate. If the distance change rate of the person at each acquisition time point is less than the preset distance change rate, it is determined that a person is approaching the smart device. When a heat source is detected to enter the preset operable distance, the protective shell is opened.
[0016] Preferably, the specific determination process for controlling the on / off state of the protective housing is as follows:
[0017] When the trigger of the smart device does not detect any human operation, it defaults to the off state. If someone operates the device but does not continue to operate it, it will recognize the state as no human operation after a preset no-operation waiting time and close the protective shell.
[0018] 4. Preferably, the specific process for determining whether the smart device has been subjected to abnormal intrusion is as follows:
[0019] When the smart device detects multiple password inputs within a unit of time or detects abnormal data access, the abnormal intrusion parameter of the smart device of the protective door is set to 1. When no multiple password inputs are detected within a unit of time and no abnormal data access is detected, the abnormal intrusion parameter of the smart device of the protective door is 0. When the abnormal intrusion parameter of the smart device of the protective door is 1, it is identified as an abnormal intrusion, and the protective shell of the smart device is closed.
[0020] Preferably, the specific process for determining whether the protective door is open is as follows:
[0021] S1. When an operator is detected, the image captured by the camera is compared with the images of whitelisted users in the database to determine whether the operator is a whitelisted user.
[0022] S2. When the operator is identified as a whitelist user, if the first operation is correct, the protective door will be opened. If the operation is wrong, the operation will be repeated and the number of re-operations will be recorded. When the number of re-operations exceeds the preset number of re-operations for whitelist users, the protective shell of the smart device will be closed to prevent the operator from continuing to operate.
[0023] S3. When the operator is not a whitelisted user, if the first operation is correct, the protective door will be opened and the operator's entry and exit records will be recorded. If the operation is incorrect, the operation will be repeated, and the number of re-operations will be recorded. When the number of re-operations exceeds the preset number of re-operations for non-whitelisted users, the protective shell of the smart device will be closed, and the operator will be prohibited from continuing to operate.
[0024] Preferably, the determination of whether the device needs to be retracted inward is carried out through the following specific process:
[0025] The pressure and duration of each pressure exposure experienced by the intelligent device are compared with the preset maximum tolerable pressure and the preset pressure exposure duration. Using a formula, the pressure-bearing coefficient of the intelligent device is calculated and denoted as [formula missing].
[0026] The impact coefficient that the smart device can withstand is calculated by using a formula, denoted as ψk, by comparing the impact velocity and impact frequency of each impact with the maximum value of the preset velocity threshold and the preset impact frequency.
[0027] According to the calculation formula The device recovery response coefficient ω is obtained, where ε1 and ε2 are the weighting factors of the pressure coefficient and the impact coefficient of the intelligent device, respectively.
[0028] When the device recovery response coefficient is greater than the preset device recovery response coefficient, the smart device will be recovered.
[0029] Preferably, the calculation process for the pressure resistance coefficient of the intelligent computing device is as follows:
[0030] The maximum pressure value that the smart device can withstand is preset and denoted as P. MAX The pressure that the smart device experiences at each test is denoted as P. i The duration of each stress exposure is denoted as T. i The preset pressure-bearing duration is denoted as T. MAX Substitute into the calculation formula i represents the number of each pressure instance, i = 1, 2, ..., r, where r is any integer greater than 2. δ1 and δ2 are the weighting factors for the magnitude of the pressure experienced by the intelligent device and the weighting factor for the duration of each pressure instance, respectively.
[0031] Preferably, the impact coefficient that the intelligent device can withstand is calculated as follows:
[0032] The maximum value of the preset speed threshold is denoted as V. MAX The impact velocity of each impactor is denoted as V. k The preset maximum impact frequency is denoted as R. MAX Let the frequency of each impact be denoted as R. k Substitute into the calculation formula k represents the number of each impact, k = 1, 2, ..., m, where m is any integer greater than 2, and σ1 and σ2 are the weighting factors of the velocity of the impacting object and the impact frequency, respectively.
[0033] Preferably, the analysis of the intelligent device's recovery speed is specifically analyzed as follows:
[0034] The fastest recovery speed of the device is denoted as V. Dmax According to the calculation formula The device recovery speed V is obtained. D .
[0035] The beneficial effects of this invention are as follows: The artificial intelligence door protection system provided by this invention opens the protective device after acquiring a thermal imaging image when a person approaches. Simultaneously, the system acquires the image to determine if the user is on a whitelist and grants a corresponding number of operation attempts. The protective shell automatically closes after a whitelisted user stops operating. If a non-whitelisted user performs multiple incorrect operations, the protective shell closes. Upon detection of unauthorized operation, the intelligent device is retrieved and protected. This solves the problem that existing artificial intelligence door protection systems lack the function of reacting to and protecting against unauthorized operations. Furthermore, in the event of a severe impact, the protective shell can be quickly closed and the intelligent device retrieved, addressing the lack of collision response capabilities in existing artificial intelligence door protection systems. Attached Figure Description
[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0037] Figure 1 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation
[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0039] Please see Figure 1 As shown, the present invention provides an artificial intelligence door protection system, including: a thermal imaging temperature sensing module, a status monitoring module, a user identification module, an abnormal intrusion detection module, a collision detection and recovery module, an early warning terminal, and a database.
[0040] The thermal imaging temperature sensing module is connected to the status monitoring module. The status monitoring module is connected to the thermal imaging temperature sensing module and the user identification module. The user identification module is connected to the status monitoring module, the abnormal intrusion detection module, and the database. The abnormal intrusion detection module is connected to the user identification module, the early warning terminal, and the collision detection and recovery module. The early warning terminal is connected to the abnormal intrusion detection module. The collision detection and recovery module is connected to the user identification module and the database.
[0041] Thermal imaging temperature sensing module: Used to draw a semicircle with the intelligent device of the protective door as the center and a preset distance as the radius, and the semicircle range as the monitoring range, to acquire thermal imaging image information of the intelligent device of the protective door within the detection range and the distance between the person and the intelligent device at each collection time point, and to determine whether to open the protective shell of the intelligent device.
[0042] In a specific example, the process for determining whether to open the protective casing of the smart device is as follows:
[0043] Based on the thermal imaging image information within the detection range and the distance between the person and the smart device, the distance between the person and the smart device at each acquisition time point within the thermal imaging monitoring range is obtained. Then, the distance change rate of the person at each acquisition time point is calculated using the change rate calculation method. The distance change rate of the person at each acquisition time point is then compared with the preset distance change rate. If the distance change rate of the person at each acquisition time point is less than the preset distance change rate, it is determined that a person is approaching the smart device. When a heat source is detected to enter the preset operable distance, the protective shell is opened.
[0044] It should be noted that the process of collecting surrounding thermal imaging information also includes collecting real-time footage from a camera and capturing images of the operator in front of the smart device, which are then compared with images of users on the whitelist in the database.
[0045] Status monitoring module: Used to detect the on / off status of the protective shell of the intelligent device on the protective door and the operating status of the intelligent device, and control the on / off status of the protective shell.
[0046] In a specific example, the determination process for the switch state of the control protective housing is as follows:
[0047] When the trigger of the smart device does not detect any human operation, it defaults to the off state. If someone operates the device but does not continue to operate it, it will recognize the state as no human operation after a preset no-operation waiting time and close the protective shell.
[0048] User identification module: When a smart device detects that someone is operating the security door, it records the user as the operator, determines whether the operator is a whitelist user recorded in the database, monitors the operator's corresponding operation status, and determines whether the security door is open.
[0049] In a specific example, the process for determining whether the protective door is open is as follows:
[0050] S1. When an operator is detected, the image captured by the camera is compared with the images of whitelisted users in the database to determine whether the operator is a whitelisted user.
[0051] S2. When the operator is identified as a whitelist user, if the first operation is correct, the protective door will be opened. If the operation is wrong, the operation will be repeated and the number of re-operations will be recorded. When the number of re-operations exceeds the preset number of re-operations for whitelist users, the protective shell of the smart device will be closed to prevent the operator from continuing to operate.
[0052] S3. When the operator is not a whitelisted user, if the first operation is correct, the protective door will be opened and the operator's entry and exit records will be recorded. If the operation is incorrect, the operation will be repeated, and the number of re-operations will be recorded. When the number of re-operations exceeds the preset number of re-operations for non-whitelisted users, the protective shell of the smart device will be closed, and the operator will be prohibited from continuing to operate.
[0053] It should be noted that the aforementioned operations refer to actions such as swiping cards, fingerprint recognition, and entering passwords on smart terminals.
[0054] It should be noted that when an operator is prohibited from continuing to operate, that operator will not be granted access rights. Blacklisted users can regain access rights by contacting staff.
[0055] Abnormal Intrusion Detection Module: Used to monitor abnormal intrusion parameters of the intelligent device of the security door and determine whether the intelligent device has been subjected to abnormal intrusion.
[0056] In a specific instance, the process for determining whether a smart device has been subjected to an abnormal intrusion is as follows:
[0057] When the smart device detects multiple password inputs within a unit of time or detects abnormal data access, the abnormal intrusion parameter of the smart device of the protective door is set to 1. When no multiple password inputs are detected within a unit of time and no abnormal data access is detected, the abnormal intrusion parameter of the smart device of the protective door is 0. When the abnormal intrusion parameter of the smart device of the protective door is 1, it is identified as an abnormal intrusion, and the protective shell of the smart device is closed.
[0058] It should be noted that when the smart device is detected to have received multiple password inputs within a unit of time or to have detected abnormal data access, the multiple password inputs within a unit of time refer to a brute-force password cracking method. When detecting such illegal intrusion, the current operator recorded in the video will also be blacklisted, and the smart device will be retrieved and protected, and an alarm will sound. Similarly, when the smart device detects abnormal data access, it means that a hacker has intruded into the system through other means or attempted to forcibly unlock the password. In this case, the person will also be blacklisted, the smart device will be retrieved and protected, and an alarm will sound.
[0059] Collision detection and recovery module: It is used to monitor the pressure value and duration of each pressure exposure of the smart device. When a collision occurs, it detects the collision speed of each impacting object and the number of collisions per unit time to determine whether the device needs to be recovered inward. When the device is recovered, it analyzes the recovery speed of the smart device.
[0060] It should be noted that the pressure values and duration of each pressure exposure are obtained through the pressure sensor built into the device, while the collision speed of each impact and the number of collisions per unit time are obtained through the speed sensor and collision sensor built into the device.
[0061] In a specific instance, the determination of whether the device needs to be retracted inward is carried out as follows:
[0062] The pressure and duration of each pressure exposure experienced by the intelligent device are compared with the preset maximum tolerable pressure and the preset pressure exposure duration. Using a formula, the pressure-bearing coefficient of the intelligent device is calculated and denoted as [formula missing].
[0063] It should be noted that the calculation process for the pressure resistance coefficient of the intelligent computing device is as follows:
[0064] The maximum pressure value that the smart device can withstand is preset and denoted as P. MAX The pressure that the smart device experiences at each test is denoted as P. i The duration of each stress exposure is denoted as T. i The preset pressure-bearing duration is denoted as T. MAX Substitute into the calculation formula i represents the number of each pressure instance, i = 1, 2, ..., r, where r is any integer greater than 2. δ1 and δ2 are the weighting factors for the magnitude of the pressure experienced by the intelligent device and the weighting factor for the duration of each pressure instance, respectively, δ1∈(0,1) and δ2∈(0,1).
[0065] The impact coefficient that the smart device can withstand is calculated by using a formula, denoted as ψi, by comparing the impact velocity and impact frequency of each impact with the maximum value of the preset velocity threshold and the preset impact frequency.
[0066] It should be noted that the impact coefficient that the intelligent device can withstand is calculated in the following way:
[0067] The maximum value of the preset speed threshold is denoted as V. MAX The impact velocity of each impactor is denoted as V. k The preset maximum impact frequency is denoted as R. MAX Let the frequency of each impact be denoted as R. k Substitute into the calculation formula k represents the number of each impact, k = 1, 2, ..., m, where m is any integer greater than 2, and σ1 and σ2 are the weighting factors of the velocity of the impacting object and the impact frequency, respectively, σ1∈(0,1) and σ2∈(0,1).
[0068] According to the calculation formula The device recovery response coefficient ω is obtained, where ε1 and ε2 are the weighting factors of the pressure coefficient and the impact coefficient of the intelligent device, respectively, ε1∈(0,1) and ε2∈(0,1).
[0069] When the device recovery response coefficient is greater than the preset device recovery response coefficient, the smart device will be recovered.
[0070] It should be noted that the analysis of the intelligent device's recycling speed is analyzed in the following specific process:
[0071] The fastest recovery speed of the device is denoted as V. Dmax According to the calculation formula The device recovery speed V is obtained. D .
[0072] The early warning terminal is used to issue an alarm and retrieve the smart device from the security door when it detects that the smart device has been subjected to abnormal intrusion.
[0073] The database is used to store whitelist user information, preset unattended waiting time, preset maximum pressure value and preset pressure endurance time, preset maximum speed threshold and preset impact frequency, and the device's fastest recovery speed.
[0074] The beneficial effects of this invention are as follows: The artificial intelligence door protection system provided by this invention opens the protective device after acquiring a thermal imaging image when a person approaches. Simultaneously, the system acquires the image to determine if the user is on a whitelist and grants a corresponding number of operation attempts. The protective shell automatically closes after a whitelisted user stops operating. If a non-whitelisted user performs multiple incorrect operations, the protective shell closes. Upon detection of unauthorized operation, the intelligent device is retrieved and protected. This solves the problem that existing artificial intelligence door protection systems lack the function of reacting to and protecting against unauthorized operations. Furthermore, in the event of a severe impact, the protective shell can be quickly closed and the intelligent device retrieved, addressing the lack of collision response capabilities in existing artificial intelligence door protection systems.
[0075] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.
Claims
1. A security system for artificial intelligence doors, characterized in that, Includes the following modules: Thermal imaging temperature sensing module: Used to draw a semicircle with the intelligent device of the protective door as the center and a preset distance as the radius, and the semicircle range as the monitoring range, to obtain thermal imaging image information of the intelligent device of the protective door within the monitoring range at each collection time point and the distance between the person and the intelligent device, and to determine whether to open the protective shell of the intelligent device. Status monitoring module: used to detect the on / off status of the protective shell of the intelligent device on the security door and the operating status of the intelligent device, and control the on / off status of the protective shell; User identification module: When the smart device detects that someone is operating the security door, it records the user as the operator, determines whether the operator is a whitelist user recorded in the database, monitors the operator's corresponding operation status, and determines whether the security door is open. Abnormal Intrusion Detection Module: Used to monitor abnormal intrusion parameters of the intelligent device of the security door and determine whether the intelligent device has been subjected to abnormal intrusion; Collision detection and recovery module: It is used to monitor the pressure value and duration of each pressure exposure of the smart device. When a collision occurs, it detects the collision speed of each impacting object and the number of collisions per unit time to determine whether the device needs to be recovered inward. When the device is recovered, it analyzes the recovery speed of the smart device. Early warning terminal: A smart device that issues an alarm and retracts the security door when it detects an abnormal intrusion into the smart device; Database: Used to store whitelist user information, preset unattended waiting time, preset maximum pressure value and preset pressure withstand time, maximum value of preset speed threshold and preset impact frequency, and the fastest recovery speed of the device. The specific process for determining whether the device needs to be retracted inward is as follows: The pressure and duration of each pressure exposure experienced by the intelligent device are compared with the preset maximum tolerable pressure and the preset pressure exposure duration. Using a formula, the pressure-bearing coefficient of the intelligent device is calculated and denoted as [formula missing]. , i represents the number of each pressure applied, i = 1, 2 ... r, where r is any integer greater than 2; By comparing the impact velocity and frequency of each impact with the maximum value of a preset velocity threshold and the preset impact frequency, the impact coefficient that the intelligent device can withstand is calculated using a formula, denoted as . k represents the number of each impact, k = 1, 2, ..., m, where m is any integer greater than 2; According to the calculation formula The device recovery response coefficient was obtained. ,in These are the weighting factors for the pressure coefficient that the intelligent device can withstand and the impact coefficient that the intelligent device can withstand, respectively. When the device recovery response coefficient is greater than the preset device recovery response coefficient, the smart device will be recovered.
2. The artificial intelligence door protection system according to claim 1, characterized in that, The specific process for determining whether to open the protective casing of the smart device is as follows: Based on the thermal imaging image information within the detection range and the distance between the person and the smart device, the distance between the person and the smart device at each acquisition time point within the thermal imaging monitoring range is obtained. Then, the distance change rate of the person at each acquisition time point is calculated using the change rate calculation method. The distance change rate of the person at each acquisition time point is then compared with the preset distance change rate. If the distance change rate of the person at each acquisition time point is less than the preset distance change rate, it is determined that a person is approaching the smart device. When a heat source is detected to enter the preset operable distance, the protective shell is opened.
3. The artificial intelligence door protection system according to claim 1, characterized in that, The specific process for determining the on / off state of the control protective housing is as follows: When the trigger of the smart device does not detect any human operation, it defaults to the off state. If someone operates the device but does not continue to operate it, it will recognize the state as no human operation after a preset no-operation waiting time and close the protective shell.
4. The artificial intelligence door protection system according to claim 1, characterized in that, The specific process for determining whether a smart device has been subjected to abnormal intrusion is as follows: When the smart device detects multiple password inputs within a unit of time or detects abnormal data access, the abnormal intrusion parameter of the smart device of the protective door is set to 1. When no multiple password inputs are detected within a unit of time and no abnormal data access is detected, the abnormal intrusion parameter of the smart device of the protective door is 0. When the abnormal intrusion parameter of the smart device of the protective door is 1, it is identified as an abnormal intrusion, and the protective shell of the smart device is closed.
5. The artificial intelligence door protection system according to claim 1, characterized in that, The specific process for determining whether the protective door is open is as follows: S1. When an operator is detected, the image captured by the camera is compared with the images of whitelisted users in the database to determine whether the operator is a whitelisted user. S2. When the operator is identified as a whitelist user, if the first operation is correct, the protective door will be opened. If the operation is wrong, the operation will be repeated and the number of re-operations will be recorded. When the number of re-operations exceeds the preset number of re-operations for whitelist users, the protective shell of the smart device will be closed to prevent the operator from continuing to operate. S3. When the operator is not a whitelisted user, if the first operation is correct, the protective door will be opened and the operator's entry and exit records will be recorded. If the operation is incorrect, the operation will be repeated, and the number of re-operations will be recorded. When the number of re-operations exceeds the preset number of re-operations for non-whitelisted users, the protective shell of the smart device will be closed, and the operator will be prohibited from continuing to operate.
6. The artificial intelligence door protection system according to claim 1, characterized in that, The calculation process for the pressure resistance coefficient of the intelligent computing device is as follows: The maximum pressure value that the smart device can withstand is preset and denoted as . The pressure that the smart device experiences each time is recorded as: The duration of each stress exposure is recorded as follows: The preset pressure-bearing duration is recorded as... Substitute into the calculation formula ,in These are the weighting factors for the magnitude of the pressure the smart device withstands and the weighting factor for the duration of each pressure exposure.
7. The artificial intelligence door protection system according to claim 1, characterized in that, The impact coefficient that the intelligent device can withstand is calculated in the following process: The maximum value of the preset speed threshold is denoted as . The impact velocities of each impactor are denoted as . The preset maximum impact frequency is denoted as . The frequency of each impact is denoted as . Substitute into the calculation formula ,in These are the weighting factors for the velocity of the impacting object and the weighting factor for the impact frequency, respectively.
8. The artificial intelligence door protection system according to claim 1, characterized in that, The analysis process for the intelligent device's recycling speed is as follows: The fastest recovery speed of the device is denoted as . According to the calculation formula The device recovery speed is obtained. .