System and method for combining security monitoring and intelligent lighting of Internet of Things

Abstract

The invention provides an Internet of Things security monitoring and smart lighting combined system and method, and the system comprises a security platform which is used for receiving data from security equipment; the intelligent lighting platform receives data from the security and protection equipment and controls a plurality of lighting equipment; the security and protection equipment is connected to the security and protection platform and the intelligent lighting platform through a switch; the switch is used for connecting the security and protection equipment, the security and protection platform, the intelligent lighting platform and at least one gateway equipment; the gateway equipment is used for connecting the lighting equipment to the intelligent lighting platform and communicating with the security and protection platform through the switch; the lighting device is connected to the intelligent lighting platform through the gateway device and is controlled by the intelligent lighting platform. According to the invention, by combining the Internet of Things security monitoring and the intelligent lighting system, effective integration and utilization of resources are realized, the intelligent level and response efficiency of the system are improved, the cost is reduced, and a more intelligent, efficient and safe solution is provided for users.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things devices, and in particular to a system and method for combining Internet of Things security monitoring with smart lighting. Background Art

[0002] As society pays more and more attention to safety and energy conservation, security monitoring and smart lighting systems have been widely used in many occasions. Security monitoring systems are mainly used to monitor and record activities in the environment in real time so as to detect abnormal situations in time and take corresponding measures. Smart lighting systems achieve the purpose of energy conservation and emission reduction by automatically adjusting light intensity and distribution.

[0003] In the field of Internet of Things (IoT), security monitoring systems usually include hardware facilities such as video surveillance equipment and sensors, as well as software platforms for data processing and alarm response. Smart lighting systems include dimmable lamps, control devices and corresponding management systems. Although both are applications based on IoT technology, in actual deployment, they often exist as independent systems.

[0004] Deficiencies of existing technology: 1. Lack of linkage mechanism: Currently, most security monitoring systems and smart lighting systems lack an effective linkage mechanism, which means that the information exchange between the two is limited and they cannot fully utilize each other's data to optimize their respective functions.

[0005] 2. Waste of resources: Since security monitoring systems and smart lighting systems are usually designed and deployed separately, this leads to duplication of resources and potential waste. For example, some areas may require both lighting and monitoring, but the lack of integrated design leads to redundant equipment and increased energy consumption.

[0006] 3. Inefficiency: Independently operating security monitoring and smart lighting systems may slow down emergency response. For example, in an emergency, if the lighting in a specific area cannot be quickly turned on, it may delay rescue or security response time.

[0007] 4. High maintenance cost: The separate system structure increases the cost of maintenance and management. The two systems each have an independent set of hardware and software facilities, which not only increases equipment investment but also increases the complexity of daily maintenance.

[0008] 5. Single function: The security monitoring system and smart lighting system that operate separately can only complete specific tasks, lacking flexibility and scalability. For example, the security system cannot use the environmental information provided by the lighting equipment, and vice versa.

[0009] Therefore, the prior art has deficiencies and needs further improvement. Summary of the invention

[0010] In view of the problems existing in the prior art, the present invention provides a system and method for combining Internet of Things security monitoring with smart lighting.

[0011] To achieve the above object, the specific scheme of the present invention is as follows: The present invention provides a system combining Internet of Things security monitoring and smart lighting, the system comprising: Security platform, used to receive data from security equipment and process and analyze it; Smart lighting platform, which receives data from security equipment and controls multiple lighting devices; Security equipment, including AI sensors and ordinary cameras, which are connected to the security platform and the smart lighting platform through switches; A switch, used to connect security equipment, a security platform, a smart lighting platform, and at least one gateway device; Gateway devices, including AI smart gateways, PLC gateways, and common gateways, are used to connect lighting equipment to the smart lighting platform and communicate with the security platform through switches; Lighting equipment, including PLC lighting control equipment, wireless lighting control equipment and other types of lighting control equipment, is connected to the smart lighting platform through at least one gateway device and is controlled by the smart lighting platform.

[0012] Furthermore, the AI ​​sensor also serves as a sensing device for the smart lighting platform to provide environmental data monitoring.

[0013] Furthermore, the security platform lights up lighting equipment in a specific area in an emergency through a control interface provided by the smart lighting platform.

[0014] Furthermore, the smart lighting platform obtains video streams from the security platform to monitor the status of lighting equipment.

[0015] Furthermore, the gateway device supports multiple protocol conversions, making different types of lighting devices compatible with the smart lighting platform; The security platform continuously optimizes the data analysis model through machine learning algorithms and applies the optimized model to real-time data processing to improve the accuracy and response speed of behavior recognition; The smart lighting platform predicts future lighting needs based on historical data and current environmental data, and adjusts the status of lighting equipment in advance to achieve more sophisticated energy management.

[0016] The present invention also provides a method for combining IoT security monitoring with smart lighting. Based on the above system, the method includes the following steps: S1, collects environmental data through security equipment and sends the data to the security platform; S2, the security platform processes and analyzes the received data and sends the results to the smart lighting platform; S3, the smart lighting platform controls the lighting equipment to perform corresponding lighting operations based on the received results; S4, in an emergency, the security platform controls the lighting equipment through the control interface provided by the smart lighting platform; S5, the smart lighting platform obtains video streams through the security platform to monitor the working status of lighting equipment.

[0017] Furthermore, in step S1, the AI ​​sensor not only serves as a monitoring device for the security platform, but also serves as a sensing device for the smart lighting platform to provide environmental data.

[0018] Furthermore, in step S2, the security platform uses deep learning technology to perform advanced analysis on the data, and dynamically adjusts the data processing strategy based on the analysis results to adapt to the ever-changing monitoring environment.

[0019] Further, in step S3, the smart lighting platform controls the lighting device to perform lighting operations through at least one gateway device according to the received result; The smart lighting platform predicts future lighting needs based on the received data results and historical behavior patterns, and pre-adjusts the status of lighting equipment through gateway devices to achieve intelligent energy-saving control.

[0020] Furthermore, in step S5, the smart lighting platform obtains the video stream through the security platform to monitor the operation of the lighting equipment in real time and adjust the lighting strategy accordingly.

[0021] The technical solution of the present invention has the following beneficial effects: 1. Intelligent linkage control: Security and lighting work together: By connecting security monitoring equipment with the smart lighting platform, intelligent lighting control triggered by security events is achieved. For example, when a person is detected entering the monitoring area, the lighting brightness can be automatically turned on or adjusted to provide better monitoring conditions.

[0022] Rapid response to emergencies: In an emergency, the security platform can quickly light up lighting equipment in specific areas through the smart lighting platform, improve emergency response speed, and facilitate rescue and safe evacuation.

[0023] 2. Optimal utilization of resources: Reduce equipment redundancy: By integrating the functions of security equipment and lighting equipment, duplicate equipment configuration is avoided and hardware investment costs are reduced.

[0024] Energy saving and consumption reduction: The smart lighting system can dynamically adjust the lighting intensity and range according to the actual needs of security monitoring, avoid unnecessary energy consumption, and achieve energy saving and emission reduction.

[0025] 3. Improve system efficiency: Accelerate scenario application and feedback: Through integrated system design, data transmission delay is reduced, system response speed is improved, and security incidents are handled more quickly.

[0026] Optimize equipment management: The security platform can monitor the status of lighting equipment, and the smart lighting platform can also obtain information about security equipment. Both parties share data, which improves the efficiency of equipment management and maintenance.

[0027] 4. Enhance system flexibility and scalability: Multifunctional integration: The security monitoring system can not only perform video surveillance, but also utilize the environmental information provided by the smart lighting system, enhancing the versatility of the system.

[0028] Easy to expand: The system design supports multiple protocol conversions, allowing access to different types of lighting equipment, making the system easy to upgrade and expand in the future.

[0029] 5. Reduce costs: Reduced equipment costs: By reducing the number of equipment, the initial investment cost is reduced.

[0030] Reduced maintenance costs: Simplified system management and maintenance processes, reducing maintenance costs during operations.

[0031] 6. Improve user experience: Intelligent scene application: Users can set different lighting scenes according to actual needs, such as automatically turning on the lights when people and vehicles pass by, which improves the user experience.

[0032] Safety assurance: Through intelligent linkage control, safety is enhanced and more reliable safety assurance is provided. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a system principle block diagram of the present invention; Figure 2 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0034] The present invention is further described in detail below in conjunction with the accompanying drawings and embodiments; it can be understood that the specific embodiments described herein are only used to explain the present invention rather than to limit the present invention; it should also be noted that, for ease of description, only the parts related to the present invention rather than all are shown in the accompanying drawings.

[0035] Combination Figure 1-Figure 2 As shown, the present invention provides a system combining IoT security monitoring and smart lighting, the system comprising: Security platform, used to receive data from security equipment and process and analyze it; Smart lighting platform, which receives data from security equipment and controls multiple lighting devices; Security equipment, including AI sensors and ordinary cameras, which are connected to the security platform and the smart lighting platform through switches; A switch, used to connect security equipment, a security platform, a smart lighting platform, and at least one gateway device; Gateway devices, including AI smart gateways, PLC gateways, and common gateways, are used to connect lighting equipment to the smart lighting platform and communicate with the security platform through switches; Lighting equipment, including PLC lighting control equipment, wireless lighting control equipment and other types of lighting control equipment, is connected to the smart lighting platform through at least one gateway device and is controlled by the smart lighting platform.

[0036] The AI ​​sensor also serves as a sensing device for the smart lighting platform, providing environmental data monitoring.

[0037] The security platform lights up the lighting equipment in a specific area in an emergency through the control interface provided by the smart lighting platform.

[0038] The smart lighting platform obtains video streams from the security platform to monitor the status of lighting equipment.

[0039] The gateway device supports multiple protocol conversions, making different types of lighting devices compatible with the smart lighting platform; The security platform continuously optimizes the data analysis model through machine learning algorithms and applies the optimized model to real-time data processing to improve the accuracy and response speed of behavior recognition; The smart lighting platform predicts future lighting needs based on historical data and current environmental data, and adjusts the status of lighting equipment in advance to achieve more sophisticated energy management.

[0040] The present invention also provides a method for combining IoT security monitoring with smart lighting. Based on the above system, the method includes the following steps: S1, collects environmental data through security equipment and sends the data to the security platform; S2, the security platform processes and analyzes the received data and sends the results to the smart lighting platform; S3, the smart lighting platform controls the lighting equipment to perform corresponding lighting operations based on the received results; S4, in an emergency, the security platform controls the lighting equipment through the control interface provided by the smart lighting platform; S5, the smart lighting platform obtains video streams through the security platform to monitor the working status of lighting equipment.

[0041] In step S1, the AI ​​sensor not only serves as a monitoring device for the security platform, but also serves as a sensing device for the smart lighting platform to provide environmental data.

[0042] In step S2, the security platform uses deep learning technology to perform advanced analysis on the data and dynamically adjusts the data processing strategy based on the analysis results to adapt to the ever-changing monitoring environment.

[0043] In step S3, the smart lighting platform controls the lighting device to perform lighting operations through at least one gateway device according to the received result; The smart lighting platform predicts future lighting needs based on the received data results and historical behavior patterns, and pre-adjusts the status of lighting equipment through gateway devices to achieve intelligent energy-saving control.

[0044] In step S5, the smart lighting platform obtains the video stream through the security platform to monitor the operation of the lighting equipment in real time and adjust the lighting strategy accordingly.

[0045] Figure 1 middle: AI sensor: connected to the security platform and smart lighting platform through switches.

[0046] Ordinary cameras: are also connected to the security platform and smart lighting platform through switches.

[0047] switch: Connect to AI sensors, regular cameras, AI smart gateways, plc gateways, regular gateways, security platforms, and smart lighting platforms.

[0048] It is the central node of the entire system, responsible for data transmission and management.

[0049] AI Smart Gateway: Connect to AI sensors, PLC lighting control devices and other lighting control devices.

[0050] Connect to the security platform and smart lighting platform through switches.

[0051] plc gateway: Connect to PLC lighting control equipment and other lighting control equipment.

[0052] Connect to the security platform and smart lighting platform through switches.

[0053] Ordinary gateway: Connect to wireless lighting control devices.

[0054] Connect to the security platform and smart lighting platform through switches.

[0055] Security platform: Receives data from AI sensors and ordinary cameras and processes and analyzes them.

[0056] Smart lighting platform: receives data from AI sensors and ordinary cameras, and controls various lighting control devices.

[0057] PLC lighting control equipment: connected to the switch through AI smart gateway and PLC gateway.

[0058] Wireless lighting control device: connected to the switch through a common gateway.

[0059] Other lighting control devices: connected to the switch via AI smart gateway or plc gateway.

[0060] In summary, this system connects various sensors, cameras, and gateway devices through switches to achieve security monitoring and smart lighting functions. AI sensors and ordinary cameras collect data and send it to the security platform and smart lighting platform for processing. Different gateway devices (AI smart gateway, plc gateway, and ordinary gateway) control different types of lighting control devices to achieve intelligent lighting control.

[0061] The process scheme is as follows: 1. The data of traditional security cameras remains unchanged on the original security platform. We have added an AI smart gateway, which obtains the camera video stream through the switch. The AI ​​gateway extracts features based on the large model algorithm to analyze the behavior information, execute related actions, and report the status to the lighting platform.

[0062] 2. As a sensor with video surveillance function, AI sensor can provide additional time monitoring information for the security platform. The AI ​​sensor itself can provide data monitoring function as a sensing device on the lighting platform.

[0063] 3. The lighting platform provides corresponding control interfaces to the security platform, which can be used to quickly light up specific areas in an emergency. 4. The lighting platform uses the security platform to access the flow control page to quickly inspect abnormal lighting equipment, etc. 5. Lighting and security power usage scenarios can share one, maximizing the use of the power system Working principle: The present invention realizes intelligent monitoring and lighting control by organically combining the IoT security monitoring system with the smart lighting system. The following is a detailed system composition and its working principle: System composition Security Platform: Receive data from security equipment and process and analyze it.

[0064] The processed data is sent to the smart lighting platform for lighting control decisions.

[0065] Smart lighting platform: Receive data from security equipment and control lighting equipment based on data analysis results.

[0066] Provide a control interface to the security platform to light up lighting equipment in specific areas in emergency situations.

[0067] Monitor the status of lighting equipment and adjust lighting strategies based on the video stream provided by the security platform.

[0068] Security equipment: Including AI sensors and ordinary cameras.

[0069] AI sensors are not only used as security monitoring equipment, but also as environmental data monitoring equipment for smart lighting platforms.

[0070] Ordinary cameras are used to collect video data.

[0071] switch: Connect security equipment, security platforms, smart lighting platforms and gateway devices.

[0072] Responsible for data transmission and management, it is the central node of the entire system.

[0073] Gateway device: Including AI smart gateway, PLC gateway and ordinary gateway.

[0074] AI smart gateway connects AI sensors, PLC lighting control devices and other lighting control devices.

[0075] The PLC gateway connects PLC lighting control devices and other lighting control devices.

[0076] Ordinary gateway connects to wireless lighting control devices.

[0077] Supports multiple protocol conversions, making different types of lighting equipment compatible with the smart lighting platform.

[0078] Lighting equipment: Including PLC lighting control equipment, wireless lighting control equipment and other types of lighting control equipment.

[0079] Connect to and be controlled by the smart lighting platform through a gateway device.

[0080] Workflow Data collection and transmission: Security equipment (such as AI sensors and ordinary cameras) collect environmental data.

[0081] The data is transmitted to the security platform and smart lighting platform through the switch.

[0082] The data from AI sensors is not only transmitted to the security platform, but also to the smart lighting platform as environmental monitoring data.

[0083] Data processing and analysis: The security platform processes and analyzes the received data to identify specific behavior patterns or abnormal situations.

[0084] The processed data is sent to the smart lighting platform through the switch.

[0085] Lighting control decisions: The smart lighting platform analyzes the received data and decides whether the status of the lighting equipment needs to be adjusted.

[0086] If adjustment is required, the smart lighting platform controls the lighting equipment through the gateway device to perform corresponding operations (such as turning on, off, adjusting brightness, etc.).

[0087] Emergency treatment: In an emergency, the security platform can directly control lighting equipment through the control interface provided by the smart lighting platform to enhance safety.

[0088] For example, upon detecting an intrusion or other emergency, the security platform can instantly activate lighting in a specific area.

[0089] Status monitoring and adjustment: The smart lighting platform obtains video streams through the security platform and monitors the working status of lighting equipment in real time.

[0090] Based on the monitoring results, the smart lighting platform can adjust the lighting strategy to ensure the normal operation of the lighting equipment.

[0091] Assume that a human intrusion occurs in an industrial park: Intrusion Detection: The AI ​​sensor detects someone entering the monitored area and sends the data to the security platform.

[0092] Data processing and analysis: The security platform identifies the abnormal situation and sends this information to the smart lighting platform.

[0093] Lighting Control: Based on the information received, the smart lighting platform controls the lighting equipment near the intrusion area to turn on, providing better monitoring conditions.

[0094] Emergency Response: The security platform uses the control interface provided by the smart lighting platform to immediately light up the lighting equipment in the entire area for rapid response and disposal.

[0095] Condition Monitoring: The smart lighting platform obtains video streams through the security platform, monitors the status of lighting equipment in real time, and ensures the normal operation of lighting equipment.

[0096] Through such a workflow, the present invention realizes the effective combination of security monitoring and smart lighting system, improves the intelligence level and response efficiency of the system, reduces costs, and provides a more intelligent, efficient and safe solution.

[0097] Example 1: Park night patrol and lighting linkage Focus: Linkage between intelligent lighting control and security monitoring during night patrols.

[0098] Application scenario: Night patrol of a large industrial park.

[0099] Specific equipment: Security equipment: AI sensor: Camera with face recognition function (resolution 1080p, frame rate 30fps) and support for night infrared imaging.

[0100] Ordinary camera: HD night vision camera (resolution 720p, frame rate 25fps).

[0101] Gateway device: AI smart gateway: supports Wi-Fi and Zigbee protocols, connecting AI sensors and PLC lighting control devices.

[0102] PLC Gateway: Connect to PLC lighting control devices.

[0103] Lighting equipment: PLC lighting control equipment: LED street light (power 100W, color temperature 4000K), supports remote brightness control.

[0104] Other equipment: Switch: Supports Gigabit Ethernet transmission rate.

[0105] Security platform: A server-class computing unit equipped with high-performance CPUs (such as Intel Xeon E5-2600 v4 series) and GPUs (such as NVIDIA Tesla P100).

[0106] Smart Lighting Platform: Dedicated server with high-performance processor (such as AMD Ryzen 9 5900X) and sufficient storage space.

[0107] Specific implementation: Night patrol hours: AI sensors and regular cameras continuously monitor the main roads and important areas within the campus.

[0108] The switch transmits the video stream to the security platform for real-time analysis.

[0109] Intrusion Detection: When the AI ​​sensor detects an unauthorized person entering the park, it triggers an alarm and sends the image data to the security platform.

[0110] The security platform analyzes the image data and notifies the smart lighting platform after confirming any abnormalities.

[0111] Smart lighting control: After receiving the signal, the smart lighting platform controls the brightness of nearby LED street lights through the AI ​​smart gateway to improve the lighting level.

[0112] At the same time, the security platform lights up the lighting equipment in the entire area through the control interface to ensure that patrol personnel can clearly see abnormal situations.

[0113] Condition Monitoring: The smart lighting platform obtains video streams through the security platform and monitors the working status of lighting equipment in real time.

[0114] Based on the monitoring results, the smart lighting platform adjusts the lighting strategy to ensure the normal operation of lighting equipment.

[0115] Example 2: Office building access control and energy-saving lighting Focus: Combining office building access control with energy-saving lighting.

[0116] Application scenario: the entrance of a high-rise office building.

[0117] Specific equipment: Security equipment: AI sensor: Camera with face and license plate recognition capabilities (resolution 1080p, frame rate 30fps), supporting all-weather HD imaging.

[0118] Ordinary camera: HD surveillance camera (resolution 720p, frame rate 25fps).

[0119] Gateway device: AI smart gateway: supports Bluetooth and Wi-Fi protocols, connecting AI sensors and wireless lighting control devices.

[0120] Ordinary gateway: connect to wireless lighting control devices.

[0121] Lighting equipment: Wireless lighting control device: LED ceiling light (power 60W, color temperature 3000K), supports remote control switch and brightness adjustment.

[0122] Other equipment: Switch: Supports Gigabit Ethernet transmission rate.

[0123] Security platform: a server-class computing unit equipped with high-performance CPUs (such as Intel Xeon W-2100 series) and GPUs (such as NVIDIA Quadro RTX 4000).

[0124] Smart lighting platform: Dedicated server with high-performance processor (such as Intel Core i7-11700K) and sufficient storage space.

[0125] Specific implementation: Entrance monitoring: AI sensors continuously monitor the entry and exit of people and vehicles at the entrance of office buildings.

[0126] Ordinary cameras assist in providing comprehensive video surveillance.

[0127] The switch transmits the video stream to the security platform for real-time analysis.

[0128] Personnel identification and lighting control: When the AI ​​sensor detects the entry of an authorized person, it triggers the door opening command and sends the data to the security platform.

[0129] After the security platform confirms the identity of the person, the smart lighting platform controls the LED ceiling lights at the entrance to automatically turn on and provide sufficient lighting.

[0130] Energy saving mode: During off-peak hours or when no one is passing by, the smart lighting platform controls the lighting equipment through the wireless gateway to enter energy-saving mode, reduce the brightness or turn off some lamps.

[0131] The smart lighting platform obtains video streams through the security platform, monitors the working status of lighting equipment in real time, and adjusts lighting strategies according to actual conditions.

[0132] Emergency treatment: In an emergency, the security platform can immediately light up all lighting equipment at the entrance through the control interface to improve safety.

[0133] Example 3: Underground parking lot security monitoring and lighting control Focus: Security monitoring and intelligent lighting control in underground parking lots.

[0134] Application scenario: underground parking lot of a large shopping mall.

[0135] Specific equipment: Security equipment: AI Sensor: Camera with moving object detection function (resolution 1080p, frame rate 30fps), supporting infrared imaging.

[0136] Ordinary camera: HD surveillance camera (resolution 720p, frame rate 25fps).

[0137] Gateway device: AI smart gateway: supports RS-485 and Wi-Fi protocols, connecting AI sensors and PLC lighting control devices.

[0138] PLC Gateway: Connect to PLC lighting control devices.

[0139] Lighting equipment: PLC lighting control equipment: LED garage light (power 80W, color temperature 5000K), supports remote control switch and brightness adjustment.

[0140] Other equipment: Switch: Supports Gigabit Ethernet transmission rate.

[0141] Security Platform: Server-grade computing unit equipped with high-performance CPU (such as AMD EPYC 7002 series) and GPU (such as NVIDIA T4 Tensor Core).

[0142] Smart lighting platform: Dedicated server with high-performance processor (such as Intel Core i9-11900K) and sufficient storage space.

[0143] Specific implementation: Vehicle entry and exit monitoring: AI sensors continuously monitor the entry and exit of vehicles in the underground parking lot.

[0144] Ordinary cameras assist in providing comprehensive video surveillance.

[0145] The switch transmits the video stream to the security platform for real-time analysis.

[0146] Vehicle detection and lighting control: When the AI ​​sensor detects a vehicle entering, it triggers a signal and sends the data to the security platform.

[0147] After the security platform confirms the vehicle has entered, the LED garage lights in the corresponding area are automatically turned on through the smart lighting platform to provide sufficient lighting.

[0148] Energy saving and safety mode: After the vehicle leaves, the smart lighting platform controls the lighting equipment in the corresponding area through the PLC gateway to enter energy-saving mode, reduce the brightness or turn off some lamps.

[0149] In emergency situations, such as vehicle breakdown or accidents, the security platform can immediately light up all lighting equipment in the corresponding area through the control interface to improve safety.

[0150] Status monitoring and fault diagnosis: The smart lighting platform obtains video streams through the security platform and monitors the working status of lighting equipment in real time.

[0151] Based on the monitoring results, the smart lighting platform adjusts the lighting strategy and performs fault diagnosis and alarm processing.

[0152] Through these three specific embodiments, it can be seen that the present invention realizes intelligent monitoring and lighting control in different application scenarios by combining security monitoring and smart lighting systems, thereby improving safety, energy saving effects and user experience.

[0153] Example 4: Intelligent security and energy-saving lighting control based on machine learning Focus: Intelligent security monitoring and energy-saving lighting control based on machine learning.

[0154] Application scenario: public area of ​​a large commercial complex.

[0155] Specific equipment: Security equipment: AI sensor: HD camera (Hikvision DS-2CD2T25FWDV3, 1080p resolution, 30fps) with facial recognition and behavior analysis capabilities, supporting nighttime infrared imaging.

[0156] Ordinary camera: high-definition night vision camera (Hikvision DS-2CD2145FWD-I5, resolution 720p, frame rate 25fps).

[0157] Gateway device: AI smart gateway: supports Wi-Fi and Zigbee protocols, connects AI sensors and PLC lighting control devices (Xiaomi MiGateway 3, supports multiple smart home protocols).

[0158] PLC gateway: connect to PLC lighting control devices (ABB Free@Home gateway, supporting KNX / EIB protocol).

[0159] Ordinary gateway: connect to wireless lighting control devices (TP-Link HS110, supporting Wi-Fi protocol).

[0160] Lighting equipment: PLC lighting control equipment: LED street lights (Philips Hue LED bulbs, power 100W, color temperature 4000K), support remote brightness control.

[0161] Wireless lighting control equipment: LED ceiling light (Yeelight LED ceiling light, power 60W, color temperature 3000K), supports remote control switch and brightness adjustment.

[0162] Other equipment: Switch: Supports Gigabit Ethernet transmission rate (TP-Link TL-SG1008D, 8-port Gigabit switch).

[0163] Security Platform: Server-class computing unit equipped with high-performance CPU (Intel Xeon E5-2600 v4 series) and GPU (NVIDIA Tesla P100) for data processing and machine learning tasks.

[0164] Smart Lighting Platform: Dedicated server with high-performance processor (AMD Ryzen 9 5900X) and sufficient storage space (16GB RAM) for data processing and prediction algorithms.

[0165] Specific implementation Data collection and transmission: AI sensors and regular cameras continuously monitor the public areas of the commercial complex.

[0166] The switch transmits the video stream to the security platform for real-time analysis.

[0167] Machine Learning Optimization: Security Platform: Perform advanced analysis of data using machine learning algorithms such as Convolutional Neural Networks (CNNs).

[0168] Continuously optimize data analysis capabilities through training models to improve the accuracy and response speed of behavior recognition.

[0169] Model training data includes historical behavior patterns, abnormal event records, etc.

[0170] The analysis results are sent to the smart lighting platform in real time.

[0171] Smart lighting platform: Based on the received data results, combined with historical data and current environmental data, predictive algorithms (such as time series analysis) are used to predict future lighting needs.

[0172] Adjust the status of lighting equipment in advance to achieve more refined energy management.

[0173] Smart lighting control: Based on the prediction results, the smart lighting platform controls the brightness of LED street lights through the AI ​​smart gateway and PLC gateway to adapt to different time periods and crowd densities.

[0174] During off-peak hours or when no one is passing by, the smart lighting platform controls the LED ceiling lights through a common gateway to enter energy-saving mode, reduce the brightness or turn off some lamps.

[0175] Emergency treatment: In an emergency, the security platform immediately lights up the lighting equipment in the entire area through the control interface to improve safety.

[0176] The smart lighting platform obtains video streams through the security platform, monitors the working status of lighting equipment in real time, and adjusts lighting strategies according to actual conditions.

[0177] Specific steps Data collection: AI sensors and ordinary cameras continuously collect video data from public areas.

[0178] The data is transmitted to the security platform through the switch.

[0179] Data analysis and optimization: The security platform uses pre-trained deep learning models to perform behavioral analysis on video data.

[0180] Continuously optimize the model through machine learning algorithms to improve recognition accuracy.

[0181] The analysis results are sent to the smart lighting platform.

[0182] Prediction and Control: The smart lighting platform predicts future lighting needs based on the received data results and historical behavior patterns.

[0183] Adjust the brightness of LED street lights in advance through AI smart gateway and PLC gateway.

[0184] Adjust the status of LED ceiling lights through a common gateway to achieve intelligent energy-saving control.

[0185] Status monitoring and adjustment: The smart lighting platform obtains video streams through the security platform and monitors the working status of lighting equipment in real time.

[0186] Adjust lighting strategies based on monitoring results to ensure normal operation of lighting equipment.

[0187] Innovation Machine learning optimization: Continuously optimize data analysis models through machine learning algorithms to improve the accuracy and response speed of behavior recognition.

[0188] Predictive control: Predict future lighting needs based on historical data and current environmental data, and adjust the status of lighting equipment in advance to achieve more sophisticated energy management.

[0189] Through this specific embodiment, the specific application of the present invention in a commercial complex is demonstrated. Through machine learning and prediction algorithms, more intelligent security monitoring and energy-saving lighting control are achieved, which significantly improves the intelligence level and energy-saving effect of the system.

[0190] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the protection scope of the present invention.

Claims

1. A system combining IoT security monitoring and smart lighting, characterized in that: The system includes: Security platform, used to receive data from security equipment and process and analyze it; Smart lighting platform, which receives data from security equipment and controls multiple lighting devices; Security equipment, including AI sensors and ordinary cameras, which are connected to the security platform and the smart lighting platform through switches; A switch, used to connect security equipment, a security platform, a smart lighting platform, and at least one gateway device; Gateway devices, including AI smart gateways, PLC gateways, and common gateways, are used to connect lighting equipment to the smart lighting platform and communicate with the security platform through switches; Lighting equipment, including PLC lighting control equipment, wireless lighting control equipment and other types of lighting control equipment, is connected to the smart lighting platform through at least one gateway device and is controlled by the smart lighting platform.

2. The system according to claim 1, characterized in that The AI ​​sensor also serves as a sensing device for the smart lighting platform, providing environmental data monitoring.

3. The system according to claim 1, characterized in that The security platform lights up the lighting equipment in a specific area in an emergency through the control interface provided by the smart lighting platform.

4. The system according to claim 1, characterized in that The smart lighting platform obtains video streams from the security platform to monitor the status of lighting equipment.

5. The system according to claim 1, characterized in that The gateway device supports multiple protocol conversions, making different types of lighting devices compatible with the smart lighting platform; The security platform continuously optimizes the data analysis model through machine learning algorithms and applies the optimized model to real-time data processing to improve the accuracy and response speed of behavior recognition; The smart lighting platform predicts future lighting needs based on historical data and current environmental data, and adjusts the status of lighting equipment in advance to achieve more sophisticated energy management.

6. A method for combining IoT security monitoring with smart lighting, based on the system according to any one of claims 1 to 5, characterized in that: The method comprises the following steps: S1, collects environmental data through security equipment and sends the data to the security platform; S2, the security platform processes and analyzes the received data and sends the results to the smart lighting platform; S3, the smart lighting platform controls the lighting equipment to perform corresponding lighting operations based on the received results; S4, in an emergency, the security platform controls the lighting equipment through the control interface provided by the smart lighting platform; S5, the smart lighting platform obtains video streams through the security platform to monitor the working status of lighting equipment.

7. The method according to claim 6, characterized in that In step S1, the AI ​​sensor not only serves as a monitoring device for the security platform, but also serves as a sensing device for the smart lighting platform to provide environmental data.

8. The method according to claim 6, characterized in that In step S2, the security platform uses deep learning technology to perform advanced analysis on the data and dynamically adjusts the data processing strategy based on the analysis results to adapt to the ever-changing monitoring environment.

9. The method according to claim 6, characterized in that In step S3, the smart lighting platform controls the lighting device to perform lighting operations through at least one gateway device according to the received result; The smart lighting platform predicts future lighting needs based on the received data results and historical behavior patterns, and pre-adjusts the status of lighting equipment through gateway devices to achieve intelligent energy-saving control.

10. The method according to claim 6, characterized in that In step S5, the smart lighting platform obtains the video stream through the security platform to monitor the operation of the lighting equipment in real time and adjust the lighting strategy accordingly.

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