Building security alarm system based on Internet of Things

Abstract

The invention provides a building security alarm system based on the Internet of Things. The building security alarm system based on the Internet of Things comprises a sensor module used for collecting safety related data including environmental parameters and safety events in a building, an edge calculation unit connected with the sensor module and used for analyzing and processing the collected data in real time by adopting a preset quick response algorithm model, and a communication module connected with the edge calculation unit and used for sending the data to the communication module. And the alarm module is used for transmitting analysis results and alarm information to the central control platform and related personnel terminals. According to the building security alarm system based on the Internet of Things, the Internet of Things and an edge computing technology are introduced into the building security alarm system, and a preset quick response algorithm model is adopted, so that real-time analysis and processing of safety related data are realized; mathematical formulas of data fusion, anomaly detection, alarm judgment, response time optimization and the like are utilized, so that the data processing flow is simplified, and the system complexity is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of building security alarm systems, and in particular to a building security alarm system based on the Internet of Things. Background Art

[0002] The basic structure of an IoT-based building security alarm system usually includes sensors, communication networks, a central control unit, and an alarm notification mechanism. Sensors (such as infrared motion detectors, magnetic switches for doors and windows, smoke detectors, etc.) are installed at various key locations in the building to monitor the environment and security conditions in real time. These sensors are connected to the central control unit through IoT technology to transmit the collected data. The central control unit analyzes and processes the received data. Once an abnormal situation is detected, such as illegal intrusion, fire or other emergency events, the system will immediately trigger the alarm mechanism, notify relevant personnel through SMS, phone calls or mobile applications, and can link video surveillance or initiate emergency plans.

[0003] The system also has some defects. An overly complex system may increase response time in an emergency and affect the efficiency of emergency handling. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a building security alarm system based on the Internet of Things, which solves the problem that an overly complex system may increase response time in an emergency and affect the efficiency of emergency handling.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a building security alarm system based on the Internet of Things, comprising:

[0006] Sensor modules for collecting security-related data within the building, including environmental parameters and security events;

[0007] An edge computing unit is connected to the sensor module and uses a preset fast response algorithm model to perform real-time analysis and processing on the collected data;

[0008] Communication module, used to transmit analysis results and alarm information to the central control platform and relevant personnel terminals;

[0009] Central control platform, used to centrally manage and monitor the entire system, store historical data, and provide emergency strategy support;

[0010] The alarm notification module uses multiple channels to notify relevant personnel in a timely manner when abnormal situations are detected, including SMS, phone calls, mobile application push, etc.;

[0011] The rapid response algorithm model includes the following four mathematical formulas:

[0012] Data fusion formula:

[0013]

[0014] Among them, D t is the comprehensive data at the tth moment, w i is the weight of the i-th sensor, S i,t is the data of the i-th sensor at time t;

[0015] Anomaly detection formula:

[0016] E t =|D t -μ

[0017] Among them, E t is the abnormal value at the tth moment, μ is the average value of historical data;

[0018] Alarm judgment formula:

[0019] When E t >θ, an alarm is triggered; where θ is the preset alarm threshold;

[0020] Response time optimization formula:

[0021] T total =T compute +T transmit +T notify

[0022] By optimizing T compute and T transmit , to minimize the total response time T total ;

[0023] The rapid response algorithm model simplifies the data processing flow, reduces system complexity, significantly shortens the response time in emergency situations, and improves the efficiency of emergency handling through the above formula.

[0024] Preferably, the sensor module includes infrared sensors, door and window magnetic sensors, smoke detectors, and temperature and humidity sensors, which are used to comprehensively monitor the safety status in the building. The edge computing unit has a built-in lightweight artificial intelligence model that can perform anomaly detection and preliminary decision-making locally, reducing data transmission volume and response time.

[0025] Preferably, the artificial intelligence model adopts a pruned and quantized deep learning algorithm to adapt to resource-constrained edge devices to ensure efficient operation. The communication module supports Wi-Fi, ZigBee and NB10T communication protocols, and automatically switches according to network conditions to ensure the reliability and real-time performance of data transmission.

[0026] Preferably, the central control platform has a visual interface, provides real-time monitoring, historical data query, alarm log and system configuration functions, and is convenient for management personnel to operate. The central control platform supports multi-user access rights management and sets different levels of operating permissions to ensure system security and data confidentiality.

[0027] Preferably, the alarm notification module has an adaptive strategy, and selects the optimal notification method and notification object according to the urgency and type of the abnormal situation. The alarm notification module can automatically link the city emergency response system and security personnel to achieve rapid response and disposal.

[0028] Preferably, the system integrates an energy management module, which extends the battery life of the device by dynamically adjusting the working modes of sensors and edge computing units, ensuring the continuous and stable operation of the system. In the rapid response algorithm model, fuzzy logic and probabilistic statistical methods are used to improve the accuracy of anomaly detection and reduce the false alarm rate.

[0029] Preferably, the system supports remote upgrading and maintenance, and performs software updates and parameter configurations on devices through the Internet of Things network, thereby reducing operation and maintenance costs.

[0030] Preferably, fuzzy logic and probabilistic statistical methods are used in the rapid response algorithm model to improve the accuracy of anomaly detection and reduce the false alarm rate. The system supports remote upgrades and maintenance, and performs software updates and parameter configurations on devices through the Internet of Things network, reducing operating and maintenance costs. The system uses security mechanisms such as data encryption, identity authentication and access control to prevent unauthorized access and data leakage, thereby enhancing the network security of the system.

[0031] The present invention provides a building security alarm system based on the Internet of Things. It has the following beneficial effects:

[0032] This IoT-based building security alarm system, by introducing IoT and edge computing technologies into the building security alarm system and using a preset rapid response algorithm model, realizes real-time analysis and processing of security-related data. It uses mathematical formulas such as data fusion, anomaly detection, alarm judgment, and response time optimization to simplify the data processing process and reduce system complexity. In an emergency, the system can quickly detect anomalies and perform local processing through edge computing units, reducing data transmission delays, significantly shortening response time, and improving the efficiency of emergency handling.

[0033] The system integrates a variety of sensor modules and communication protocols to comprehensively monitor the security status of the building and ensure the reliability and real-time nature of data transmission. Using lightweight artificial intelligence models and energy management modules, the system can still operate efficiently in a resource-constrained environment and extend the battery life of the equipment. The central control platform has a visual interface and multi-user authority management, which improves the operability and security of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] like Figure 1 As shown, an embodiment of the present invention provides a building security alarm system based on the Internet of Things, including a sensor module for collecting security-related data in the building, including environmental parameters and security events. The sensor module includes an infrared sensor, a door and window magnetic sensor, a smoke detector, and a temperature and humidity sensor, which are used to comprehensively monitor the security status in the building. The edge computing unit has a built-in lightweight artificial intelligence model, which can perform anomaly detection and preliminary decision-making locally, reduce data transmission volume and response time, and adopts a pruned and quantized deep learning algorithm to adapt to resource-constrained edge devices to ensure efficient operation. The communication module supports Wi-Fi, ZigBee and NB10T communication protocols, and automatically switches according to network conditions to ensure the reliability and real-time performance of data transmission.

[0037] The edge computing unit is connected to the sensor module and uses a preset fast response algorithm model to perform real-time analysis and processing of the collected data.

[0038] The communication module is used to transmit the analysis results and alarm information to the central control platform and the terminals of relevant personnel.

[0039] The central control platform is used to centrally manage and monitor the entire system, store historical data, and provide emergency strategy support. The central control platform has a visual interface, provides real-time monitoring, historical data query, alarm log and system configuration functions, which are convenient for management personnel to operate. The central control platform supports multi-user access permission management and sets different levels of operation permissions to ensure system security and data confidentiality.

[0040] The alarm notification module uses multi-channel notification methods, including SMS, phone calls, mobile application push, etc., to promptly notify relevant personnel when an abnormal situation is detected. The alarm notification module has an adaptive strategy and selects the optimal notification method and notification object according to the urgency and type of the abnormal situation. The alarm notification module can automatically link the city's emergency response system and security personnel to achieve rapid response and disposal.

[0041] Among them, the rapid response algorithm model includes the following four mathematical formulas:

[0042] Data fusion formula:

[0043]

[0044] Among them, D t is the comprehensive data at the tth moment, w i is the weight of the i-th sensor, S i,t is the data of the i-th sensor at time t.

[0045] Anomaly detection formula:

[0046] E t =|D t -μ

[0047] Among them, E t is the abnormal value at the tth moment, and μ is the average value of the historical data.

[0048] Alarm judgment formula:

[0049] When E t >θ, an alarm is triggered, where θ is the preset alarm threshold.

[0050] Response time optimization formula:

[0051] T total =T compute +T transmit +T notify

[0052] By optimizing T compute and T transmit , to minimize the total response time T total .

[0053] The rapid response algorithm model uses the above formula to simplify the data processing process, reduce the complexity of the system, significantly shorten the response time in emergency situations, and improve the efficiency of emergency handling. The system integrates an energy management module and dynamically adjusts the working mode of sensors and edge computing units to extend the battery life of the equipment and ensure the continuous and stable operation of the system. In the rapid response algorithm model, fuzzy logic and probability statistics methods are used to improve the accuracy of anomaly detection and reduce the false alarm rate. The system supports remote upgrades and maintenance, and software updates and parameter configurations of devices are performed through the Internet of Things network, reducing operating and maintenance costs. The rapid response algorithm model uses fuzzy logic and probability statistics methods to improve the accuracy of anomaly detection and reduce the false alarm rate. The system supports remote upgrades and maintenance, and software updates and parameter configurations of devices are performed through the Internet of Things network, reducing operating and maintenance costs. The system uses security mechanisms such as data encryption, identity authentication and access control to prevent unauthorized access and data leakage, thereby enhancing the network security of the system.

[0054] Table 1: Data comparison table

[0055]

[0056]

[0057] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A building security alarm system based on the Internet of Things, characterized in that: include: Sensor modules for collecting security-related data within the building, including environmental parameters and security events; An edge computing unit is connected to the sensor module and uses a preset fast response algorithm model to perform real-time analysis and processing on the collected data; Communication module, used to transmit analysis results and alarm information to the central control platform and relevant personnel terminals; Central control platform, used to centrally manage and monitor the entire system, store historical data, and provide emergency strategy support; The alarm notification module uses multiple channels to notify relevant personnel in a timely manner when abnormal situations are detected, including SMS, phone calls, mobile application push, etc.; The rapid response algorithm model includes the following four mathematical formulas: Data fusion formula: Among them, D t is the comprehensive data at the tth moment, w i is the weight of the i-th sensor, S i,t is the data of the i-th sensor at time t; Anomaly detection formula: AND t =|D t -μ Among them, E t is the abnormal value at the tth moment, μ is the average value of historical data; Alarm judgment formula: When E t >θ, an alarm is triggered; where θ is the preset alarm threshold; Response time optimization formula: T total =T compute +T transmit +T notify By optimizing T compute and T transmit , to minimize the total response time T total ; The rapid response algorithm model simplifies the data processing flow, reduces system complexity, significantly shortens the response time in emergency situations, and improves the efficiency of emergency handling through the above formula.

2. The building security alarm system based on the Internet of Things according to claim 1 is characterized in that: The sensor module includes infrared sensors, door and window magnetic sensors, smoke detectors, and temperature and humidity sensors, which are used to comprehensively monitor the safety status in the building. The edge computing unit has a built-in lightweight artificial intelligence model that can perform anomaly detection and preliminary decision-making locally, reducing data transmission volume and response time.

3. The building security alarm system based on the Internet of Things according to claim 2 is characterized in that: The artificial intelligence model adopts a pruned and quantized deep learning algorithm to adapt to resource-constrained edge devices to ensure efficient operation. The communication module supports Wi-Fi, ZigBee and NB10T communication protocols, and automatically switches according to network conditions to ensure the reliability and real-time performance of data transmission.

4. The building security alarm system based on the Internet of Things according to claim 1 is characterized in that: The central control platform has a visual interface, provides real-time monitoring, historical data query, alarm log and system configuration functions, and is convenient for management personnel to operate. The central control platform supports multi-user access permission management and sets different levels of operation permissions to ensure system security and data confidentiality.

5. The building security alarm system based on the Internet of Things according to claim 1 is characterized in that: The alarm notification module has an adaptive strategy, and selects the optimal notification method and notification object according to the urgency and type of the abnormal situation. The alarm notification module can automatically link the city emergency response system and security personnel to achieve rapid response and disposal.

6. The building security alarm system based on the Internet of Things according to claim 1 is characterized in that: The system integrates an energy management module, which extends the battery life of the device and ensures the continuous and stable operation of the system by dynamically adjusting the working modes of sensors and edge computing units. In the rapid response algorithm model, fuzzy logic and probability statistics methods are used to improve the accuracy of anomaly detection and reduce the false alarm rate.

7. The building security alarm system based on the Internet of Things according to claim 1 is characterized in that: The system supports remote upgrades and maintenance, and performs software updates and parameter configurations on devices through the Internet of Things network, thereby reducing operation and maintenance costs.

8. The building security alarm system based on the Internet of Things according to claim 1, characterized in that: The rapid response algorithm model adopts fuzzy logic and probabilistic statistical methods to improve the accuracy of anomaly detection and reduce the false alarm rate. The system supports remote upgrades and maintenance, and performs software updates and parameter configurations on devices through the Internet of Things network, reducing operating and maintenance costs. The system adopts security mechanisms such as data encryption, identity authentication and access control to prevent unauthorized access and data leakage, thereby enhancing the network security of the system.

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