Intelligent security system based on Internet of Things

Abstract

The invention discloses an intelligent security and protection system based on Internet of Things, which comprises an intelligent comprehensive wiring subsystem, an intelligent security and protection terminal group, an intelligent central management system and an emergency guarantee module, and is characterized in that the intelligent comprehensive wiring subsystem comprises a transmission link and a distributed sensing line, the transmission link is used for two-way transmission of security and protection data, and the distributed sensing line is used for sensing the security and protection data; the distributed sensing circuit is used for monitoring a vibration signal in the weak current pipeline; the intelligent security terminal group comprises an edge computing device and a multi-mode identification device, the edge computing device is used for processing sensing data in real time, and the multi-mode identification device is used for collecting biological characteristics and environment information. Physical parameters such as cable vibration, plugging strength, temperature and humidity are monitored in real time, millimeter-level fault positioning and second-level early warning are achieved, a traditional manual inspection mode is abandoned, and a double-link redundancy design is combined with an electromagnetic pulse protection module and shielding cable common bridge deployment.

Description

Technical Field

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

[0002] In traditional intelligent security systems, the structured cabling system serves solely as a signal transmission channel, deployed independently from security sensing devices (such as cameras and sensors) and control units. The structured cabling system utilizes a fixed routing design, lacking the ability to monitor the physical condition of cables (e.g., poor connection, external damage). Security detection relies on single sensors (such as cameras and vibration detectors), resulting in insufficient accuracy in complex environments. Data transmission is achieved through a traditional network architecture, making it difficult to dynamically optimize routing based on security data priorities. Emergency response relies on a central management system and centralized power supply, resulting in poor device interoperability and weak offline autonomy. System operations and maintenance rely primarily on manual inspections and empirical judgment, resulting in inefficient fault location and policy adjustments.

[0003] From the perspective of existing technologies, traditional security systems lack physical layer security protection: cable faults (such as rat bites and electromagnetic interference) cannot be perceived in real time, and fault location time can be as long as several hours, which can easily lead to the overall failure of the security system in extreme scenarios; multi-source data collaboration is inefficient: the false alarm rate of a single sensor is high (such as the false alarm rate of intrusion in hidden areas exceeds 20%), and there is a lack of linkage between the security terminal and the transmission network. In emergency scenarios, the alarm signal transmission delay exceeds 1 second, affecting the timeliness of emergency response; the emergency autonomy capability is weak: when the central system fails or the power is cut off, the security equipment often fails due to power interruption or lack of strategy, and it is difficult for equipment from different manufacturers to form a unified emergency strategy; the operation and maintenance cost is high and the efficiency is low: relying on manual troubleshooting of wiring faults and equipment debugging, system configuration and policy updates in complex scenarios are time-consuming and labor-intensive, and cannot meet the "high reliability and self-evolution" requirements of smart buildings for security systems.

[0004] The shortcomings of existing technologies urgently require a new type of security system that deeply integrates integrated wiring and security functions and has real-time monitoring, intelligent linkage, and emergency autonomy capabilities. Therefore, an intelligent security system based on the Internet of Things is proposed. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide an intelligent security system based on the Internet of Things, which solves the problems of low wiring reliability, high linkage delay and poor environmental adaptability in the prior art.

[0006] To achieve the above object, the present invention provides the following technical solutions: The intelligent security system based on the Internet of Things includes: Intelligent integrated wiring subsystem: High-reliability architecture of transmission links: This invention adopts star topology and dual-link redundancy design to form a hierarchical transmission architecture of "backbone optical fiber + horizontal twisted pair": Physical layer design: The backbone link utilizes 8-core single-mode armored optical fiber compliant with the YD / T 901-2018 standard, offering a 10Gbps transmission rate and IP68-level protection, making it suitable for long-distance, high-bandwidth transmission scenarios (such as campus backbone networks and data center interconnections). Horizontal links utilize Category 6 shielded twisted-pair (UTP) cable with a conductor cross-sectional area of ​​0.5mm² and near-end crosstalk ≤-45dB. This cable supports a 1Gbps transmission rate and an effective transmission distance of 100 meters, meeting the high-density access requirements of indoor security terminals. Redundancy: Each terminal device (such as a camera or access controller) connects to a central node (smart patch panel) via two independent links. The primary link carries real-time data, while the backup link operates in hot standby mode. The smart patch panel's integrated six-axis sensor (MPU6050 chip) monitors interface insertion and removal force (accuracy ±0.1N) and cable curvature (resolution 0.5°) in real time. If physical parameters on the primary link are abnormal, the SDN controller activates the backup link within 50ms using the BFD protocol, achieving seamless failover in 0.1 seconds and a packet loss rate of ≤0.001%. Enhanced anti-interference: The patch panel has a built-in three-level electromagnetic pulse protection module (gas discharge tube + varistor + TVS diode), which can suppress 1.5kV surge voltage (1.2 / 50μs waveform). According to third-party testing, in an EMC environment of 8kV contact discharge, the signal transmission bit error rate is still ≤ , which is 3 orders of magnitude higher than traditional non-protective patch panels. Vibration monitoring technology for distributed sensing lines: Distributed fiber optic acoustic sensing lines deployed along weak current pipelines use OFDR (Optical Frequency Domain Reflectometry) technology to achieve millimeter-level vibration sensing: Sensing Principle: A 1550nm light source emits continuous light, which is divided into reference light and signal light by a 3dB coupler. After the signal light is injected into the sensing fiber, the phase change of the Rayleigh scattered light caused by external vibration is extracted through heterodyne detection. Combined with 16-layer wavelet packet decomposition (db4 basis function), it can identify 12 types of vibration events (such as electric drilling, prying, and water flow) in the 10-500Hz frequency band with an identification accuracy of ≥98%. Project Deployment: Fiber optic cables and structured cabling are laid in layers on the same bridge. Sensor spacing is 10 meters, with positioning accuracy ≤ 0.5 meters (optimized through a phase unwrapping algorithm), meeting the highest precision requirements for perimeter protection in GB 50348-2018. Sensor signals are transmitted to the edge computing unit via the RS485 bus. After training with an LSTM neural network, this system can predict progressive faults such as poor cable contact up to two hours in advance, with an early warning accuracy of ≥ 95%. Smart security terminal group: Edge intelligence and multimodal fusion: Real-time processing capabilities of edge computing devices: The edge computing camera integrates the NVIDIA Jetson Nano module (computing power 472 GFLOPS), supporting multispectral imaging and localized intelligent analysis: Multimodal data processing: The visible light sensor (IMX490, 1 / 2.3-inch) achieves 1080P high-definition imaging, adopts a lightweight YOLOv8 model (model size ≤ 20MB), and has an inference latency of ≤ 50ms. The infrared thermal imaging sensor (FLIR Lepton 3.5) detects temperatures from -40°C to 150°C with an accuracy of ±2°C, and is used for nighttime target detection and abnormal equipment heating warnings. The ultraviolet sensor (UVM-30A) monitors corona discharge in the 240-280nm band, providing a 48-hour advance warning of loose cable connectors. Computing power scheduling strategy: Linux cgroups technology is used to isolate CPU resources, with 80% of computing power allocated to real-time tasks (such as intrusion detection). Non-real-time tasks (such as video encoding) use dynamic priority scheduling to ensure that the alarm signal processing delay is ≤20ms, reducing the delay by 90% compared to traditional cloud processing solutions. Security authentication system for multimodal recognition devices: The access controller integrates a triple authentication module to build a three-dimensional protection system of "physical media + biometrics + environmental perception": Authentication module: The NFC reader (ISO 14443-A protocol) supports contactless authentication within a range of 10 cm and a transaction rate of 106 kbps. The capacitive fingerprint sensor (recognition area 15 × 15 mm²) uses liveness detection technology, with a rejection rate of ≤ 0.01% and a false acceptance rate of ≤ 0.0001%. The binocular camera (720p resolution) supports visible light and near-infrared dual-mode face recognition, with a liveness detection accuracy of ≥ 99.7%. Application of national secret algorithm: After the biometric data is hashed by SM3 (outputting 256-bit digest), it is encrypted and transmitted using the SM4 algorithm (CBC mode, 128-bit key). The key is dynamically distributed by the intelligent central management system using the SM2 algorithm to ensure that the data transmission security complies with the GM / T 0002-2012 standard.

[0007] Intelligent central management system, data-driven intelligent decision-making core: Intelligent scheduling of SDN dynamic routing: The SDN controller developed based on the ONOS platform implements priority management and path optimization of security data flows: Priority strategy: The 802.1p protocol is used to define 7 levels of priority. Video streams (level 7), alarm signals (level 6), and access control data (level 5) enjoy bandwidth reservation mechanisms. When the link load is ≥80%, the video stream encoding bit rate is dynamically adjusted (2Mbps-8Mbps adaptive) to release bandwidth, ensuring that the alarm signal transmission delay is ≤10ms, reducing the delay by 90% compared to traditional networks. Routing algorithm: The improved Dijkstra algorithm introduces reliability weights (historical failure times, remaining bandwidth), and the path calculation cycle is ≤1 second. In a 200-node network, the fault link switching time is ≤80ms, which is 3 times more efficient than the traditional algorithm. Central Control Unit's linkage strategy engine: The central control unit builds a composite decision-making system of "rule engine + machine learning" to support the real-time generation and dynamic update of 200+ strategies: Strategy Type: Fixed strategy: Pre-stored standardized emergency response logic (e.g., "vibration signal + facial recognition anomaly → lock access + trigger alarm"), written in IEC 61131-3 ladder diagram language and supporting visual configuration; Adaptive strategy: A random forest model trained with real-time data automatically adjusts sensor sensitivity (for example, lowering the vibration detection threshold during heavy rain), reducing the false alarm rate by 60% compared to fixed strategies. Blockchain strategy: The tamper-proof emergency script on the chain with SHA-256 hash requires consensus from more than three edge nodes to be executed, ensuring the reliability of the strategy in extreme scenarios. Cross-system linkage: Connect to third-party devices through the GB / T 28181-2016 signaling interface to achieve second-level linkage between cameras, access control, and fire protection systems (such as fire alarm triggering elevator forced landing and emergency channel unlocking), with a response chain error of less than 300ms. Emergency support module, a safe and sustainable system with no blind spots: Intelligent power supply strategy for backup power supply: The 100Ah lithium iron phosphate battery pack is linked to the intelligent POE switch via the Modbus TCP protocol to achieve hierarchical power supply guarantee: Power supply priority: Critical equipment (cameras, access controllers) are prioritized with 12V / 2.5A power supply, with a guaranteed duration of ≥120 hours; less critical equipment (alarm speakers, display screens) are powered when the battery level is >50% and cut off when the battery level is <20%; a battery management system (BMS) is used to monitor the battery cell status in real time, with an overcharge / over-discharge protection response time of <10ms and a cycle life of ≥3000 times. Seamless switching technology: When the mains power is interrupted, the INA226 current sensor built into the smart POE switch detects a voltage drop within 50ms, and the relay switches to the backup power output within 0.5 seconds. At the same time, a power supply status change notification is sent to the cloud via the MQTT protocol, ensuring that operation and maintenance personnel have real-time information on the system status. Emergency autonomous mechanism of distributed storage units: The edge node has a built-in Hyperledger Fabric blockchain node to build a decentralized emergency strategy storage and execution system: Policy Evidence Storage: Emergency scripts are stored in the form of smart contracts and include more than 200 predefined policies (such as "central system failure → keep the security channel access open + start the camera infrared mode"). Each script is uploaded to the chain after consensus by more than 3 edge nodes, and the hash value is uniquely identified to prevent tampering. Offline execution: When communication with the central system is interrupted, the edge node automatically activates the emergency script through the locally stored blockchain copy, uses the threshold signature scheme (TSS, threshold 3 / 5) to verify the legitimacy of the policy, and completes the state switch from monitoring to execution within 1 second, maintaining core functions such as access control and video feedback for ≥120 hours, which is 2 times longer than the traditional centralized system. Key system-level technological breakthroughs: Cross-modal fusion detection technology: Distributed fiber-optic acoustic sensors and multispectral cameras establish a dual verification mechanism. When the fiber-optic sensor detects abnormal vibration (positioning accuracy of 0.5 meters), the central control unit automatically retrieves the multispectral image (visible light / infrared / ultraviolet) from the camera in the corresponding area, analyzes the target characteristics (such as tool carrying and temperature abnormalities) using the YOLOv5 algorithm, and triggers an alarm after dual verification. The false alarm rate is reduced from 20% for a single sensor to below 1.5%, solving the problem of blind spots in hidden area detection. Time-Sensitive Networking (TSN) synchronization technology: Achieve network-wide clock synchronization through the IEEE 802.1AS protocol, with a synchronization error of less than 10μs, ensuring timestamp consistency across multiple data sources (vibration signals, video frames, access control events). Master-slave clock architecture: The intelligent central management system serves as the master clock (BC), while edge computing devices and smart POE switches serve as slave clocks (TC). A backup master clock is dynamically elected through the Best Master Clock (BMC) algorithm. Clock deviations are corrected step by step through transparent clock (TC) devices, meeting the highest requirements for time synchronization in GB / T 28181-2016. Domestic adaptation and standardization Hardware Adaptation: Edge computing devices support the Feiteng FT-2000 / 4 processor and the Kylin operating system, and multimodal recognition devices are compatible with the Huada Semiconductor HC32L136 low-power chip, meeting the technical requirements of the information and innovation industry; Protocol compatibility: Signaling interaction complies with the GB / T 28181-2016 standard, supporting SIP protocol device registration (registration response time <50ms) and control command issuance (such as camera PTZ control delay <100ms), enabling plug-and-play of devices from different manufacturers and reducing system integration costs by 30%.

[0008] The technical effects and advantages of the intelligent security system based on the Internet of Things of the present invention are: This invention integrates distributed fiber-optic acoustic sensors and intelligent patch panels in the structured cabling system to monitor physical parameters such as cable vibration, insertion and removal force, temperature and humidity in real time, achieving millimeter-level fault location and second-level warning, eliminating the need for traditional manual inspections. The dual-link redundant design, combined with electromagnetic pulse protection modules and shielded cable co-rack deployment, creates a highly reliable transmission channel that is resistant to electromagnetic interference and surges, ensuring signal transmission stability in extreme environments.

[0009] 2. This invention uses distributed fiber-optic acoustic sensors (positioning accuracy ≤ 0.5 meters) in conjunction with multispectral cameras to integrate multi-source information and identify intrusions, reducing the false alarm rate in hidden areas from 20% to below 1.5%. A central control unit processes vibration, image, and access control data in real time, and pre-set linkage strategies automatically trigger responses such as video review and access control locks. This reduces emergency response latency to 10ms, addressing detection blind spots and linkage lag in complex environments.

[0010] 3. This invention, based on a dynamic routing controller in software-defined networking (SDN), optimizes transmission paths in real time based on security data priority (video stream > alarm signal > access control data). In the event of overload or failure on a link, it switches to a redundant link within 0.1 seconds, ensuring zero packet loss for alarm signals. Edge nodes pre-process sensor data locally, reducing transmission pressure on the cloud and improving system data processing efficiency and stability.

[0011] 4. This invention integrates a backup power supply with distributed storage units, enabling power switching within 0.5 seconds in the event of a utility power outage, ensuring a battery life of 120 hours or more for critical equipment. In the event of a central system failure, edge nodes automatically execute basic security policies using pre-stored emergency scripts, achieving offline autonomy. Using national secret algorithm encryption and a unified signaling protocol, it supports unified management and policy coordination of cross-vendor devices, reducing the complexity of system integration and maintenance.

[0012] 5. This invention, based on the Building Information Model (BIM), constructs a three-dimensional virtual scene, maps cabling and equipment status in real time, and supports remote debugging and parameter configuration. This improves operation and maintenance efficiency by over 50%, reducing fault location time from hours to minutes. By building an equipment health model based on historical data and real-time monitoring, risks such as cable aging and load anomalies can be predicted in advance, enabling preventive maintenance and reducing operation and maintenance costs by over 40%. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a system layered architecture diagram of the intelligent security system based on the Internet of Things proposed by the present invention; Figure 2 This is a schematic diagram of the deployment of distributed optical fiber sensing in the intelligent security system based on the Internet of Things proposed by the present invention; Figure 3 This is a multi-modal access control controller structure in an intelligent security system based on the Internet of Things proposed by the present invention. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention. It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus. In the absence of further restrictions, the elements defined by the sentence "include..." do not exclude the existence of other identical elements in the process, method, article or apparatus that includes the elements. Example 1: Reference Figure 1-3This embodiment provides an IoT-based intelligent security system for implementing a smart park security system. Specific implementation details include: 1. Hardware deployment Intelligent integrated cabling: The main optical fiber is laid along the weak current shaft of the campus. Horizontal cables use metal bridges (shielding effectiveness 60dB). Intelligent distribution frames (integrated with MPU6050 six-axis sensors) are installed every 20 meters, and optical fiber acoustic wave sensors are deployed in the pipelines (at intervals of 10 meters). Security terminal: A multimodal access controller (model ACS-1000) is installed at the gate, and edge computing cameras (IPC-H1820) are deployed on the road. They have built-in Jetson Nano modules that support license plate recognition and abnormal behavior detection. 2. Software Configuration Intelligent Hub: The SDN controller (ONOS platform) monitors link load in real time. When the utilization rate of a switch port exceeds 80%, it automatically switches the video stream to a redundant link (switching time 0.08 seconds). The central control unit pre-stores 10 linkage strategies (such as "vibration signal + facial recognition anomaly" triggering access control lock). Emergency module: The backup power supply ensures that key equipment can be powered for 26 hours (exceeding the design value), and the edge node synchronizes the emergency script to the blockchain distributed storage every 10 minutes. 3. Technical Effect The accuracy rate of cable poor contact warning is 98%, and the average troubleshooting time is 4 minutes; The missed detection rate of nighttime intrusion detection is 2.8%, which is a significant improvement compared to traditional infrared cameras (missed detection rate of 15%).

[0015] Example 2: This example provides an IoT-based intelligent security system for data center computer room protection. Specific implementation details include: 1. Special design Enhanced anti-interference: The computer room wiring uses double-shielded optical fiber, the bridge grounding resistance is ≤0.5Ω, and the intelligent POE switch integrates a Bayesian network diagnostic module to monitor cable impedance in real time (a threshold of ±5% triggers an early warning).

[0016] High-precision detection: The sampling rate of fiber-optic acoustic sensors around cabinets has been increased to 20kHz, and they use 16-level wavelet packet decomposition to identify subtle vibrations (for example, a screwdriver touching the cabinet has an identification accuracy of 99.2%). 2. Function Implementation When a cabinet vibration signal (frequency 2-5kHz) is detected, the central control unit automatically retrieves the infrared thermal imaging image from the corresponding camera, analyzes the temperature anomaly through an image recognition algorithm, and triggers an audible and visual alarm after double verification (false alarm rate 0.8%). The backup power supply prioritizes access control and fire linkage equipment, ensuring that escape routes remain open for 36 hours after a power outage. Example 3: This example provides an IoT-based intelligent security system for implementing a commercial complex security system. Specific implementation details include: Deployment characteristics Multimodal terminals: Edge computing cameras with thermal imaging capabilities are installed at elevator entrances to support body temperature detection and abnormal gathering identification; store access control uses NFC+fingerprint dual-factor authentication, and data is encrypted and transmitted using a national secret algorithm. Dynamic routing optimization: During promotional events, the SDN controller automatically increases the bandwidth of customer flow monitoring video streams to 8 Mbps, while reducing the bandwidth of non-critical devices (such as advertising screens) to ensure zero packet loss transmission of alarm signals.

[0017] 2. Technical Effect The response time for crowd gathering detection is ≤2 seconds, and the missed detection rate is ≤3%; The system maintains an alarm signal delay of ≤10ms under 90% link load. Example 4: This example provides an IoT-based intelligent security system for implementing a small-scale smart community security system. Specific implementation details include: 1. Simplify the solution Cabling design: Single-link Category 6 twisted-pair cables are used, and distributed fiber-optic acoustic sensors are deployed only within the perimeter wall area (at intervals of 20 meters) to reduce costs. Emergency module: The backup power supply capacity is 50Ah, ensuring 60 hours of power supply for key equipment. Basic emergency scripts are pre-stored on edge nodes (such as "keeping the access control of the safety channel open after a power outage"). Applicable Scenarios For communities with fewer than 500 households, the system balances cost and basic security needs, with an intrusion detection false alarm rate of ≤5% (lower than traditional single-sensor solutions). Example 5: This example provides an IoT-based intelligent security system for implementing a chemical park tank area security system. Specific implementation details include: 1. Special adaptation Explosion-proof design: The intelligent integrated wiring subsystem uses explosion-proof fiber optic connectors, and the distributed fiber optic acoustic wave sensors have an IP68 protection level and are suitable for -40°C to 85°C environments. Gas monitoring linkage: linked with the combustible gas sensor in the tank area (not the component of the present invention), when the vibration signal + abnormal gas concentration is detected, the tank area isolation strategy is automatically triggered. 2. Technical Effect In extreme environments, the system failure rate is reduced by 70% compared with traditional solutions, and the emergency response time is ≤1 second. Comparative Example 1: This comparative example provides a traditional stand-alone security system, and the specific implementation content includes: 1. Features of the solution The integrated wiring only serves as a signal transmission channel and has no sensing function; Security terminals (cameras, access control) are connected through independent gateways without dynamic routing optimization; When the central system fails, the terminal device can only maintain local storage and has no linkage response capability.

[0018] Compared with the solution of the present invention, the parameters of Example 1 and Comparative Example 1 are compared. The specific comparison details are shown in Table 1: Table 1, Parameter comparison between Example 1 and Comparative Example 1 ; Comparative Example 2: This comparative example provides an existing integrated security system, not an IoT architecture. The specific implementation content includes: 1. Features of the solution Centralized server management is used, and edge devices have no local computing capabilities; Relying on a single sensor (such as a camera) to detect intrusion without multimodal fusion; Emergency strategies are pre-stored in the central server, and edge nodes have no autonomous capabilities.

[0019] Compared with the solution of the present invention, the parameters of Example 2 and Comparative Example 2 are compared. The specific comparison details are shown in Table 2.

[0020] Table 2, Parameter comparison between Example 2 and Comparative Example 2 ; Compared with Examples 1-5 and Comparative Examples 1-2, the present invention significantly outperforms traditional solutions (Comparative Examples 1-2) in key indicators such as fault location, detection accuracy, and emergency response capabilities through the deep integration of the intelligent integrated wiring subsystem and the security terminal (Examples 1-5), reflecting the system-level innovation of "transmission + perception + control". Multimodal fusion detection (fiber optic vibration + multispectral imaging) and distributed emergency mechanism (blockchain + backup power supply) form a technical barrier, solving the core problems of "high false alarm rate of single sensor" and "dependence on central system" in existing technologies. The implementation examples cover scenarios ranging from high-security data centers to lightweight community scenarios, demonstrating the solution's strong adaptability. The "wiring as perception" IoT security architecture was first proposed, upgrading the structured cabling system from an infrastructure to a nerve center with real-time monitoring, dynamic optimization, and emergency autonomy capabilities. Through edge computing and cloud collaboration, distributed storage and smart contract technology, a four-layer protection system of "end-edge-cloud-emergency" has been built to achieve the self-evolution and high reliability of the security system. The above embodiments may be implemented in whole or in part through software, hardware, firmware or any other combination. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0021] Those skilled in the art will appreciate that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0022] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0023] The above is only a specific implementation method of the present application, but the scope of protection of the present application is not limited to this. Any technician familiar with this technical field can easily think of changes or replacements within the technical scope disclosed in this application, which should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

[0024] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. The intelligent security system based on the Internet of Things is characterized by: include: The intelligent integrated wiring subsystem includes a transmission link and a distributed sensing line. The transmission link is used for bidirectional transmission of security data, and the distributed sensing line is used to monitor vibration signals in weak current pipelines. A smart security terminal cluster, including edge computing devices and multimodal recognition devices. The edge computing devices are used to process sensory data in real time, and the multimodal recognition devices are used to collect biometric and environmental information. An intelligent central management system, connecting the intelligent integrated wiring subsystem and the intelligent security terminal group, is used to receive sensing data, generate linkage strategies and control routing switching of transmission links; The emergency protection module includes a backup power supply and a distributed storage unit. The backup power supply is used to ensure the power supply of key equipment when the mains power is interrupted, and the distributed storage unit is used to store emergency strategies.

2. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The transmission link adopts a star topology and dual-link redundancy design, the backbone link is a single-mode armored optical fiber, the horizontal link is a twisted-pair shielded cable, and the distribution frame is integrated with an electromagnetic pulse protection module.

3. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The distributed sensing line is a distributed fiber optic acoustic wave sensing line, which is deployed on the same bridge as the integrated wiring system. It monitors vibration signals through the Rayleigh scattering principle, and has a positioning accuracy of ≤0.5 meters.

4. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The edge computing device supports multispectral imaging data processing, and the multimodal recognition device integrates near-field communication, fingerprint recognition and camera modules, and uses national secret algorithms to encrypt communications.

5. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The intelligent central management system includes: A dynamic routing controller based on software-defined networking (SDN) is used to divide transmission channels according to data flow priority; The central control unit is used to receive vibration signals, image data and equipment status data, and generate linkage strategies including video review, access control and alarm triggering.

6. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The backup power supply is linked to the intelligent POE switch through the industrial communication protocol. When the mains power is interrupted, it will give priority to ensuring the power supply of cameras and access control controllers, with a guaranteed duration of ≥120 hours.

7. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The distributed storage unit has a built-in blockchain node, and when the central system fails, the pre-stored emergency strategy is automatically executed through the threshold signature scheme to maintain basic security functions.

8. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The bridge of the intelligent integrated wiring subsystem is made of electromagnetic shielding composite material, with a shielding effectiveness of ≥60dB and an online monitoring value of grounding resistance ≤1Ω.

9. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The intelligent central management system and the intelligent security terminal group synchronize clocks through the time-sensitive network (TSN) protocol, with a synchronization error of less than 10μs.

10. The intelligent security system based on the Internet of Things as claimed in claim 1, characterized in that: The signaling interaction between the intelligent security terminal group and the intelligent central management system complies with the GB / T 28181-2016 standard and supports cross-device linkage policy configuration.

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