Intelligent retractable door remote monitoring and early warning platform based on support of Internet of Things

Abstract

The invention relates to the technical field of intelligent security and protection, and discloses an intelligent retractable door remote monitoring and early warning platform based on Internet of Things support, which comprises a detection module, a data acquisition module, a data transmission module, a processing module, a remote monitoring terminal and an early warning module, the detection module is connected with the data acquisition module, the data acquisition module is connected with the data transmission module, the data transmission module is connected with the processing module, the processing module is connected with the remote monitoring terminal, and the remote monitoring terminal is connected with the early warning module. The platform can monitor the position, the stress condition and the surrounding environment state of the retractable door in real time, comprehensive monitoring of the operation state of the retractable door is achieved through multiple sensors such as an infrared sensor, a pressure sensor, a temperature sensor, a vibration sensor and a displacement sensor, and when it is detected that abnormal conditions or parameters exceed a preset threshold value, the operation state of the retractable door is monitored. And the early warning module can send an alarm notification in time to ensure that related personnel can quickly respond and take measures.

Description

Technical Field

[0001] The present invention relates to the field of intelligent security technology, and in particular to an intelligent telescopic door remote monitoring and early warning platform based on the Internet of Things. Background Art

[0002] Electric telescopic door is also known as "electric door" or "electric folding door". Electric telescopic door is mainly composed of door body, driver and control system. The door body of telescopic door is made of high-quality aluminum alloy and ordinary square tube, and is hinged by parallelogram principle, with large telescopic and flexible travel. The electric telescopic door is mainly composed of door body, driver and control system. The door body of telescopic door is made of high-quality aluminum alloy and ordinary square tube, and is hinged by parallelogram principle, with large telescopic and flexible travel. The driver of electric telescopic door is driven by special motor, worm gear reduction, and equipped with manual clutch, which can be opened and closed manually in case of power failure. The control system of telescopic door has control panel, button switch, and can be equipped with wireless remote control device according to user needs.

[0003] Traditional telescopic doors are important entrance and exit control devices in many places. Their operating status directly affects the safety and convenience of the places. Most existing telescopic door management systems lack comprehensive and real-time monitoring capabilities, and cannot immediately perceive and effectively manage key information such as the position changes, force conditions, and surrounding environmental conditions of the telescopic doors. Once a telescopic door fails or is damaged by external forces, it is often not discovered and handled in time, which may not only cause property losses, but also endanger personnel safety. Therefore, an intelligent telescopic door remote monitoring and early warning platform based on the Internet of Things is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent telescopic door remote monitoring and early warning platform based on the Internet of Things to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a remote monitoring and early warning platform for intelligent telescopic doors supported by the Internet of Things, comprising a detection module, a data acquisition module, a data transmission module, a processing module, a remote monitoring terminal and an early warning module;

[0006] The detection module is connected to the data acquisition module, the data acquisition module is connected to the data transmission module, the data transmission module is connected to the processing module, the processing module is connected to the remote monitoring terminal, and the remote monitoring terminal is connected to the early warning module;

[0007] The detection module is used to detect the position, force condition and surrounding environment state of the telescopic door in real time;

[0008] The data acquisition module is used to collect data detected by the detection module;

[0009] The data transmission module is used to transmit the position, force condition and surrounding environment state of the telescopic door to the processing module using a wireless network;

[0010] The processing module is used to analyze and process the collected data to determine whether the telescopic door is in a normal state;

[0011] The remote monitoring terminal is used to check the status of the telescopic door in real time;

[0012] The early warning module is used to send an alarm notification.

[0013] Preferably, the detection module comprises an infrared sensor, a pressure sensor, a temperature sensor, a vibration sensor and a displacement sensor;

[0014] The infrared sensor is used to detect human activities near the door;

[0015] The pressure sensor is used to monitor the resistance change during the movement of the telescopic door and promptly detect whether there are obstacles or abnormal conditions;

[0016] The temperature sensor is used to monitor the temperature of the motor and control system of the telescopic door;

[0017] The vibration sensor is used to monitor whether the door body is disturbed by external forces or has abnormal vibrations during operation;

[0018] The displacement sensor is used to monitor the specific position of the door body to ensure that the telescopic door moves according to a predetermined path and program.

[0019] Preferably, in the above-mentioned infrared sensor, the calculation formula for detecting the power (P) of human activity is:

[0020] P=I0e -ad

[0021] Among them, I0 is the transmitted power, α is the absorption coefficient, and d is the distance.

[0022] Preferably, in the pressure sensor, the calculation formula for detecting the resistance (F) of the telescopic door is:

[0023] F = kx

[0024] Where k is the spring constant and x is the displacement.

[0025] Preferably, in the above-mentioned vibration sensor, the vibration intensity (Z) is calculated as follows:

[0026]

[0027] Among them, a i 、b i 、ci are the vibration acceleration components in the X, Y, and Z directions at the i-th moment, and n is the number of sampling points.

[0028] Preferably, the data acquisition module comprises a sensor unit and a data preprocessing unit;

[0029] The sensor unit is connected to the data preprocessing unit;

[0030] The sensor unit is used to receive and convert the original signal of the sensor into processable digital data;

[0031] The data preprocessing unit is used to perform preliminary cleaning, filtering and formatting on the collected raw data.

[0032] Preferably, the processing module comprises a data analysis unit, a state evaluation unit and a decision making unit;

[0033] The data analysis unit is used to perform in-depth analysis on the collected data and identify abnormal patterns and trends;

[0034] The state evaluation unit is used to evaluate the state of the telescopic door in real time to determine whether there is a fault or safety hazard;

[0035] The decision-making unit is used to provide decision-making information according to the status evaluation result.

[0036] Preferably, in the above-mentioned state evaluation unit, the calculation formula for evaluating abnormality (A) is:

[0037]

[0038] Where X is the current value, μ is the mean, and σ is the standard deviation.

[0039] Preferably, the warning module comprises an alarm triggering unit and an alarm information generating unit;

[0040] The alarm triggering unit is used to trigger an alarm when the value of the monitoring parameter exceeds a preset alarm threshold;

[0041] The alarm information generating unit is used to generate an alarm notification including alarm type, time, location and recommended measures information.

[0042] Preferably, in the above-mentioned alarm triggering unit, the calculation formula of the early warning information (G) is:

[0043] G=f(A)

[0044] Where A is the anomaly score, f is the mapping function, and the mapping function can be a linear or nonlinear function.

[0045] Preferably, the above.

[0046] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects:

[0047] 1. The platform can monitor the position, stress and surrounding environment of the telescopic door in real time. Through multiple sensors such as infrared sensors, pressure sensors, temperature sensors, vibration sensors and displacement sensors, it can realize comprehensive monitoring of the operating status of the telescopic door. When an abnormal situation is detected or the parameters exceed the preset threshold, the early warning module can send an alarm notification in time to ensure that relevant personnel can respond quickly and take measures.

[0048] 2. The data acquisition module can collect the data detected by the detection module, and perform preliminary cleaning, filtering and formatting to ensure the accuracy and reliability of the data. The processing module analyzes and processes the collected data, identifies abnormal patterns and trends through in-depth analysis, evaluates the status of the telescopic door in real time, and determines whether there are any faults or safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a schematic diagram of module connection of the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the conditions under which this application can be implemented. Therefore, they have no substantive technical significance. Any structural modification, change in proportional relationship or adjustment of size should still fall within the scope of the technical content disclosed in this application without affecting the effects and purposes that can be achieved by this application.

[0053] Example

[0054] See also Figure 1 ,The present invention provides a technical solution: a remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things, including a detection module, a data acquisition module, a data transmission module, a processing module, a remote monitoring terminal and an early warning module;

[0055] The detection module is connected to the data acquisition module, the data acquisition module is connected to the data transmission module, the data transmission module is connected to the processing module, the processing module is connected to the remote monitoring terminal, and the remote monitoring terminal is connected to the early warning module;

[0056] A detection module is used to detect the position, force and surrounding environment of the telescopic door in real time;

[0057] The detection module includes an infrared sensor, a pressure sensor, a temperature sensor, a vibration sensor and a displacement sensor;

[0058] Infrared sensor is used to detect human activities near the door; the infrared sensor can also determine the direction and speed of movement.

[0059] In infrared sensors, the calculation formula for detecting human activity power (P) is:

[0060] P=I0e -ad

[0061] Among them, I0 is the transmitted power, α is the absorption coefficient, and d is the distance.

[0062] The pressure sensor is used to monitor the change in resistance of the telescopic door during its movement and promptly detect whether there are any obstacles or abnormal conditions. The pressure sensor can monitor the change in resistance of the telescopic door during its movement in real time and set a threshold to determine whether there are any obstacles or abnormal conditions.

[0063] In the pressure sensor, the calculation formula for detecting the resistance (F) of the telescopic door is:

[0064] F = kx

[0065] Where k is the spring constant and x is the displacement.

[0066] Temperature sensor, used to monitor the temperature of the telescopic door's motor and control system; the temperature sensor can monitor the temperature of the telescopic door's motor and control system in real time, and set temperature thresholds to prevent overheating and damage.

[0067] The vibration sensor is used to monitor whether the door body is disturbed by external force or abnormal vibration occurs during operation; the vibration sensor can monitor in real time whether the door body is disturbed by external force or abnormal vibration occurs during operation.

[0068] In the vibration sensor, the vibration intensity (Z) is calculated as:

[0069]

[0070] Among them, a i , b i 、c i are the vibration acceleration components in the X, Y, and Z directions at the i-th moment, and n is the number of sampling points.

[0071] The displacement sensor is used to monitor the specific position of the door body and ensure that the telescopic door moves according to the predetermined path and program. The displacement sensor can accurately monitor the specific position of the door body and ensure that the telescopic door moves according to the predetermined path and program.

[0072] A data acquisition module, used for collecting data detected by the detection module;

[0073] The data acquisition module includes a sensor unit and a data preprocessing unit;

[0074] The sensor unit is connected to the data preprocessing unit;

[0075] The sensor unit is used to receive and convert the original signal of the sensor into processable digital data; the sensor unit not only receives and converts the original signal of a single sensor, but can also process data from multiple sensors at the same time, such as infrared sensors, pressure sensors, temperature sensors, vibration sensors, and displacement sensors. The multi-sensor integrated design enables the data acquisition module to fully and accurately obtain various information about the telescopic door and its surrounding environment.

[0076] The data preprocessing unit is used to perform preliminary cleaning, filtering and formatting on the collected raw data.

[0077] The data preprocessing unit will perform preliminary cleaning on the collected raw data to remove invalid, abnormal or duplicate data points; in order to remove noise and interference, the data preprocessing unit will also filter the raw data; in order to meet the needs of subsequent data processing and analysis, the data preprocessing unit will convert the cleaned and filtered data into a unified format; in order to save storage space and improve data transmission efficiency, the data preprocessing unit may also compress the processed data.

[0078] A data transmission module, used to transmit the position, force condition and surrounding environment state of the telescopic door to the processing module using a wireless network;

[0079] A processing module is used to analyze and process the collected data to determine whether the telescopic door is in a normal state;

[0080] The processing module includes a data analysis unit, a state evaluation unit and a decision-making unit;

[0081] The data analysis unit is used to perform in-depth analysis on the collected data and identify abnormal patterns and trends. The data analysis unit can use machine learning algorithms, such as cluster analysis, anomaly detection, etc., to perform in-depth analysis on the collected data and identify abnormal patterns and trends in the operation of the telescopic door.

[0082] The status assessment unit is used to conduct real-time assessment of the status of the telescopic door to determine whether there are any faults or safety hazards; the status assessment unit can comprehensively consider data of multiple parameters, such as position, stress conditions, temperature, vibration, etc., to conduct a comprehensive assessment of the status of the telescopic door.

[0083] In the status evaluation unit, the calculation formula for evaluation abnormality (A) is:

[0084]

[0085] Where X is the current value, μ is the mean, and σ is the standard deviation.

[0086] The decision-making unit is used to provide decision-making information based on the status evaluation results.

[0087] The decision-making unit can use intelligent algorithms, such as decision trees, support vector machines, neural networks, etc., to analyze and process the status assessment results and provide intelligent decision-making information. For example, when a telescopic door is detected to have a fault or safety hazard, the decision-making unit can automatically trigger emergency measures such as alarms and shutdowns, and give corresponding maintenance suggestions.

[0088] The remote monitoring terminal is used to check the status of the telescopic door in real time; the remote monitoring terminal should have a real-time data display function, which can display key parameters such as the position, force condition, and surrounding environment status of the telescopic door in real time.

[0089] An early warning module, used to send alarm notifications;

[0090] The early warning module includes an alarm triggering unit and an alarm information generating unit;

[0091] The alarm trigger unit is used to trigger an alarm when the value of the monitoring parameter exceeds the preset alarm threshold; the alarm trigger unit should be able to simultaneously monitor the values ​​of multiple parameters, such as the position, force, temperature, vibration, etc. of the telescopic door, to ensure that the platform can fully perceive the operating status of the telescopic door and detect abnormal situations in a timely manner.

[0092] The alarm information generation unit is used to generate an alarm notification containing the alarm type, time, location and recommended measures. The alarm information generation unit should generate different types of alarm notifications according to different abnormal situations. For example, different types of alarm notifications such as fault alarms, safety hazard alarms, and maintenance reminders can be distinguished so that relevant personnel can quickly identify and take corresponding measures.

[0093] In the alarm trigger unit, the calculation formula for the early warning information (G) is:

[0094] G=f(A)

[0095] Where A is the anomaly score, f is the mapping function, and the mapping function can be a linear or nonlinear function.

[0096] If the alarm type is "Access control failure", the recommended action is "Check the access control system to ensure that the door can be opened and closed normally."

[0097] If the alarm type is "Temperature abnormality", the recommended action is "Check the ambient temperature and confirm whether the air conditioning system is working properly."

[0098] If the alarm type is "abnormal vibration", the recommended action is "Check whether the area around the telescopic door has been illegally invaded or damaged by external forces.

[0099] Assuming that a sensor detects that the temperature alarm trigger condition is met, the platform will trigger an alarm and generate the following alarm information:

[0100] Alarm type: abnormal temperature;

[0101] Alarm time: XXXX year XX month XX day XX:XX:XX;

[0102] Alarm location: parking lot gate;

[0103] Recommended Action: Check the air conditioning system to confirm that the equipment is functioning properly.

[0104] In summary, the platform can monitor the position, force and surrounding environment of the telescopic door in real time. Through multiple sensors such as infrared sensors, pressure sensors, temperature sensors, vibration sensors and displacement sensors, it can realize comprehensive monitoring of the operating status of the telescopic door. When an abnormal situation is detected or the parameters exceed the preset threshold, the early warning module can send an alarm notification in time to ensure that relevant personnel can respond quickly and take measures.

[0105] The data acquisition module can collect the data detected by the detection module and perform preliminary cleaning, filtering and formatting to ensure the accuracy and reliability of the data. The processing module analyzes and processes the collected data, identifies abnormal patterns and trends through in-depth analysis, evaluates the status of the telescopic door in real time, and determines whether there are any faults or safety hazards.

[0106] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways, even if such combinations and / or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All of these combinations and / or combinations fall within the scope of the present invention.

Claims

1. The remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: It includes detection module, data acquisition module, data transmission module, processing module, remote monitoring terminal and early warning module; The detection module is connected to the data acquisition module, the data acquisition module is connected to the data transmission module, the data transmission module is connected to the processing module, the processing module is connected to the remote monitoring terminal, and the remote monitoring terminal is connected to the early warning module; The detection module is used to detect the position, force condition and surrounding environment state of the telescopic door in real time; The data acquisition module is used to collect data detected by the detection module; The data transmission module is used to transmit the position, force condition and surrounding environment state of the telescopic door to the processing module using a wireless network; The processing module is used to analyze and process the collected data to determine whether the telescopic door is in a normal state; The remote monitoring terminal is used to check the status of the telescopic door in real time; The early warning module is used to send an alarm notification.

2. According to claim 1, the remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: The detection module includes an infrared sensor, a pressure sensor, a temperature sensor, a vibration sensor and a displacement sensor; The infrared sensor is used to detect human activities near the door; The pressure sensor is used to monitor the resistance change during the movement of the telescopic door and promptly detect whether there are obstacles or abnormal conditions; The temperature sensor is used to monitor the temperature of the motor and control system of the telescopic door; The vibration sensor is used to monitor whether the door body is disturbed by external forces or has abnormal vibrations during operation; The displacement sensor is used to monitor the specific position of the door body to ensure that the telescopic door moves according to a predetermined path and program.

3. According to claim 2, the remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: In the infrared sensor, the calculation formula for detecting human activity power (P) is: P=I0e -ad Among them, I0 is the transmitted power, α is the absorption coefficient, and d is the distance.

4. According to claim 2, the remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: In the pressure sensor, the calculation formula for detecting the resistance (F) of the telescopic door is: F = kx Where k is the spring constant and x is the displacement.

5. According to claim 2, the remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: In the vibration sensor, the vibration intensity (Z) is calculated as: Among them, a i 、b i 、c i are the vibration acceleration components in the X, Y, and Z directions at the i-th moment, and n is the number of sampling points.

6. According to the IoT-based intelligent telescopic door remote monitoring and early warning platform of claim 1, it is characterized by: The data acquisition module includes a sensor unit and a data preprocessing unit; The sensor unit is connected to the data preprocessing unit; The sensor unit is used to receive and convert the original signal of the sensor into processable digital data; The data preprocessing unit is used to perform preliminary cleaning, filtering and formatting on the collected raw data.

7. According to claim 1, the remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: The processing module includes a data analysis unit, a state evaluation unit and a decision-making unit; The data analysis unit is used to perform in-depth analysis on the collected data and identify abnormal patterns and trends; The state evaluation unit is used to evaluate the state of the telescopic door in real time to determine whether there is a fault or safety hazard; The decision-making unit is used to provide decision-making information according to the status evaluation result.

8. The remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things according to claim 7 is characterized in that: In the state evaluation unit, the calculation formula for evaluating abnormality (A) is: Where X is the current value, μ is the mean, and σ is the standard deviation.

9. According to claim 1, the remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things is characterized by: The early warning module includes an alarm triggering unit and an alarm information generating unit; The alarm triggering unit is used to trigger an alarm when the value of the monitoring parameter exceeds a preset alarm threshold; The alarm information generating unit is used to generate an alarm notification including alarm type, time, location and recommended measures information.

10. The remote monitoring and early warning platform for intelligent telescopic doors based on the Internet of Things according to claim 9 is characterized in that: In the alarm triggering unit, the calculation formula of the early warning information (G) is: G=f(A) Where A is the anomaly score, f is the mapping function, and the mapping function can be a linear or nonlinear function.

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