Intelligent building monitoring system for community
Through integrated intelligent platform and Internet of Things technology, the problems of insufficient intelligent analysis and poor interconnectivity of traditional community building monitoring systems are solved, real-time data processing and emergency response are realized, and the intelligence and efficiency of community safety management are improved.
Patent Information
- Application Number
- CN202410400314.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-03
- Publication Date
- 2025-08-22
AI Technical Summary
Traditional community building monitoring systems lack intelligent analysis capabilities, rely on manual operations, have poor interconnectivity, single security prevention functions, and are unable to effectively process video data and respond to emergency events in a timely manner.
Adopt an integrated intelligent platform, introduce big data processing and artificial intelligence technology to realize unified management of subsystems such as video surveillance, alarm, access control, etc., use Internet of Things technology to achieve device interconnection, and provide real-time security information through mobile applications.
It improves the intelligence and efficiency of community safety management, provides comprehensive security prevention capabilities, realizes real-time data processing and emergency response, and enhances residents' sense of security.
Smart Images
Figure CN120529044A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of new information technology, and in particular relates to an intelligent building monitoring system for a community. Background Art
[0002] With the advancement of urbanization and the deepening of smart city construction, community safety management has become an essential component of urban management. As a key technology for improving community safety, the development of intelligent building monitoring systems has garnered widespread attention. Traditional building monitoring systems rely heavily on manual inspections and basic video surveillance, which presents numerous deficiencies in information collection, processing, and emergency response.
[0003] 1. Traditional surveillance systems: Early community building surveillance systems primarily relied on closed-circuit television (CCTV) for video surveillance, with human observers identifying anomalies. These systems often lacked intelligent analysis capabilities, were unable to effectively process large amounts of video data, and struggled to respond to emergencies promptly.
[0004] 2. Limited connectivity and integration: Components in traditional surveillance systems (such as cameras, alarms, and access control systems) often operate independently and lack effective interconnection mechanisms. This leads to information silos and hinders the effective integration and utilization of data.
[0005] 3. High dependence on manual labor: Due to the lack of automated and intelligent processing methods, traditional systems rely too much on manual operations for monitoring and response. This is not only inefficient but also easily affected by human factors such as fatigue and negligence.
[0006] 4. Single security function: Most traditional surveillance systems can only provide basic security functions, such as video recording and access control, lack more advanced analysis and prediction capabilities, and cannot meet the increasingly complex community security management needs.
[0007] In order to solve the above problems, community building intelligent monitoring systems have begun to introduce advanced information technology: 1. Integrated intelligent platform: The new generation of intelligent monitoring system adopts an integrated management platform to achieve effective integration and unified management of multiple subsystems such as video surveillance, alarm, access control, and environmental monitoring.
[0008] 2. Big data and artificial intelligence: By introducing big data processing and artificial intelligence technologies, intelligent monitoring systems can automatically analyze monitoring data, identify abnormal behavior patterns, and provide early warning of potential security risks.
[0009] 3. Internet of Things technology: Using Internet of Things technology, various sensors and devices in the monitoring system can be interconnected, automatically collect and transmit data, and provide support for intelligent analysis and remote control.
[0010] 4. Mobile Internet applications: Through mobile applications, property management personnel and residents can access the monitoring system anytime and anywhere and receive real-time security information and alarm notifications.
[0011] By applying these technologies, community-based building intelligent monitoring systems can provide more comprehensive, intelligent, and efficient security management services, significantly enhancing the community's security capabilities and residents' sense of security. With the continuous advancement of technology, future intelligent monitoring systems will become even more accurate and intelligent, providing even stronger support for community security management. Summary of the Invention
[0012] In response to the problems existing in the above-mentioned prior art, the present invention provides an intelligent monitoring system for community buildings, which demonstrates the comprehensive capabilities and advantages of the intelligent monitoring system for community buildings in data processing, environmental monitoring, access control management, video surveillance, wireless communication, user interaction, alarm response, data storage, environmental control and motion detection. The intelligent monitoring system has been greatly improved in solving the problem of poor interactivity of traditional monitoring, and through effective information transmission between the data processing module and the central control unit, timely and efficient transmission of data from multiple monitoring nodes is achieved.
[0013] To solve the above problems, the present invention adopts the following technical solutions.
[0014] A community building intelligent monitoring system includes a central control unit and multiple monitoring nodes; The central control unit includes a data processing module and a user interface module, and the data processing module and the user interface module are respectively connected to the cloud server; The monitoring node includes a video camera and an environmental sensor, and the video camera and the environmental sensor are both connected to the central control unit; The information transmission between the data processing module and the central control unit satisfies the following algorithm: , In the formula, W ( w i ) represents the weight value in the data information, where d Represents the damping coefficient in the range 0-1, where w ij Representative data information i Rank j The weight value of the keyword in the column, where w i Representative (1≤ i ≤ n ) represents the i The sequence number of the group keyword, wherew j (1≤ j ≤ n ) represents the j The sequence number of the group keyword, where w jk (1≤ j ≤ k ≤ n ) represents the j Group within group k The sequence number of the group keyword, where wk ∈ O ( w j )represent wk belong O ( w j )gather.
[0015] In the above-mentioned community building intelligent monitoring system, the environmental sensors include a temperature sensor, a smoke sensor and a light sensor, and the temperature sensor, the smoke sensor and the light sensor are all connected to the central control unit.
[0016] The aforementioned community building intelligent monitoring system also includes an access control management unit; The access control management unit includes an access control card reader and an electronic lock, and both the access control card reader and the electronic lock are connected to the central control unit.
[0017] In the above-mentioned community building intelligent monitoring system, the video camera includes a fixed-focus camera and a variable-focus camera; The fixed-focus camera and the variable-focus camera are both connected to the central control unit.
[0018] The aforementioned community building intelligent monitoring system further includes a wireless communication module; The wireless communication module is used to connect the central control unit with the monitoring node and the central control unit with an external network.
[0019] In the aforementioned community building intelligent monitoring system, the user interface module includes a touch screen display and a command input device; The touch screen display and the command input device are both connected to the central control unit.
[0020] The aforementioned community building intelligent monitoring system further includes an alarm response unit; The alarm response unit includes an alarm and an alarm signal receiver, and both the alarm and the alarm signal receiver are connected to the central control unit.
[0021] In the aforementioned community building intelligent monitoring system, the data processing module includes a video analysis processor and a data storage device; The video analysis processor and the data storage device are both connected to the central control unit.
[0022] The aforementioned community building intelligent monitoring system further includes an environmental control unit; The environmental control unit includes an air conditioning controller and a lighting controller; The air conditioning controller and the lighting controller are both connected to the central control unit.
[0023] In the aforementioned community building intelligent monitoring system, the monitoring node includes a motion detector; The motion detector comprises an infrared sensor and a microwave sensor, and both the infrared sensor and the microwave sensor are connected to the central control unit.
[0024] Beneficial effects Compared with the prior art, the present invention has the following beneficial effects: Providing efficient data processing capabilities: The system's data processing module uses advanced algorithms to process data from monitoring nodes, ensuring accurate and efficient information transmission through the calculation of weights and damping coefficients. Real-time monitoring of environmental parameters: Environmental sensors, including temperature, smoke, and light sensors, monitor building conditions in real time and transmit data to the central control unit, ensuring real-time updates and monitoring of environmental parameters. Strengthening access control security management: The access control management unit, through the combined use of access card readers and electronic locks, enhances community building security management, ensuring identity verification and access control for entrants. Improving video surveillance clarity and flexibility: Video cameras, including fixed-focus and variable-focus cameras, provide high-definition video images and adjust focus and viewing angles according to monitoring requirements. Building a wireless communication network: The wireless communication module connects the central control unit with monitoring nodes, as well as with external networks, ensuring wireless data transmission and communication within and outside the system. Providing an intuitive user interface: The user interface module, including a touchscreen display and command input device, provides an intuitive interface and convenient command input. Achieve rapid response in emergency situations: The alarm response unit includes an alarm and an alarm signal receiver, which can quickly sound an alarm when an abnormal situation is detected and notify the central control unit for processing. Ensure the storage and analysis of video data: The video analysis processor and data storage device in the data processing module provide hardware support for the storage of video data and subsequent intelligent analysis. Achieve intelligent control of the building environment: The environmental control unit automatically adjusts the temperature and light in the building through the air-conditioning controller and lighting controller to improve living and working comfort. Enhance the detection capability of moving targets: The motion detectors in the monitoring node include infrared sensors and microwave sensors, which can effectively detect moving targets and improve the security and prevention capabilities of the monitoring system. The above technical effects demonstrate the comprehensive capabilities and advantages of the community building intelligent monitoring system in data processing, environmental monitoring, access control management, video surveillance, wireless communication, user interaction, alarm response, data storage, environmental control and motion detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 It is an iterative convergence diagram of energy efficiency under information transmission between the data processing module and the central control unit in the present invention. DETAILED DESCRIPTION
[0026] The present invention will be further described below with reference to specific embodiments.
[0027] Example Community building intelligent monitoring system, including a central control unit and multiple monitoring nodes; The central control unit includes a data processing module and a user interface module, and the data processing module and the user interface module are respectively connected to the cloud server; The monitoring node includes a video camera and an environmental sensor, and both the video camera and the environmental sensor are connected to the central control unit.
[0028] This community-use intelligent building surveillance system consists of a central control unit and multiple monitoring nodes. The central control unit is equipped with a data processing module and a user interface module, both of which communicate and interact with a remote cloud server. The monitoring nodes consist of video cameras and environmental sensors, which are connected to the central control unit via a network for real-time data transmission and processing. The data processing module possesses high-performance computing capabilities, enabling real-time analysis and processing of received video streams and environmental data, including but not limited to motion detection, image recognition, and data trend analysis. Using intelligent algorithms, the module can identify abnormal behavior or environmental changes and generate corresponding alarm signals. The user interface module provides an intuitive interface for security administrators or residents to view real-time video and environmental readings, as well as receive system notifications and alarms. This module also allows users to remotely configure and control various monitoring system parameters, including camera angle adjustment and sensor sensitivity settings. The video cameras are designed as high-definition smart cameras, capable of providing clear images in various lighting conditions and supporting night vision. They provide all-around surveillance, are equipped with a rotation mechanism to cover a wider field of view, and feature intelligent features such as facial recognition and license plate recognition. Environmental sensors are used to monitor environmental conditions inside and outside buildings, including temperature, humidity, smoke, harmful gases and other parameters. The data from the sensors can be used for environmental quality monitoring, and can also be linked with the central control unit, such as automatically triggering a fire alarm when smoke is detected. The entire system is connected via a high-speed network, ensuring the real-time and reliable data transmission. The network design uses redundancy and encryption technology to ensure the stable operation of the monitoring system and the security of the data. In addition, the system also supports wireless communication technology, which facilitates the deployment of monitoring nodes in areas where wiring is not possible. Through this design, the community building intelligent monitoring system can not only provide round-the-clock security monitoring, but also prevent and respond to various emergencies in advance through intelligent analysis, providing residents with a safe and convenient living environment.
[0029] The information transmission between the data processing module and the central control unit satisfies the following algorithm: , In the formula, W ( w i ) represents the weight value in the data information, where d Represents the damping coefficient in the range 0-1, wherew ij Representative data information i Rank j The weight value of the keyword in the column, where w i Representative (1≤ i ≤ n ) represents the i The sequence number of the group keyword, where w j (1≤ j ≤ n ) represents the j The sequence number of the group keyword, where w jk (1≤ j ≤ k ≤ n ) represents the j Group within group k The sequence number of the group keyword, where wk ∈ O ( w j )represent wk belong O ( w j ) collection. In order to ensure the accuracy and efficiency of data processing in the community building intelligent monitoring system, the information transmission between the data processing module and the central control unit adopts the above-mentioned algorithm based on weights and damping coefficients. Through this algorithm, the data processing module can dynamically adjust the weight of information transmission according to the importance of the data information provided by different monitoring nodes and the need for real-time environmental changes. This allows the central control unit to process and respond to data from video cameras and environmental sensors more accurately, thereby improving the response speed and decision-making quality of the entire monitoring system. In addition, the introduction of the damping coefficient in the algorithm allows the system to perform necessary attenuation on the data during information transmission to avoid potential problems caused by information overload or feedback loops. This approach improves the stability and reliability of the system and ensures that the monitoring system can maintain efficient and stable operation under different circumstances. Such as Figure 1 As shown in , it shows the change of the average energy efficiency of the proposed solution with the number of iterations under the conditions of N=5, M=100, S=25, B=1MHz, Pm=50 dBm, Pcir=40 dBm, and Psta=30dBm. Figure 1 It can be seen that with the increase of the number of iterations, the average energy efficiency value of the proposed scheme converges to its optimal solution, which verifies that the proposed two-layer iterative algorithm has good convergence performance, that is, the proposed optimization problem can be solved with a limited number of iterations.
[0030] In the aforementioned intelligent community building monitoring system, the environmental sensors include temperature sensors, smoke sensors, and light sensors, all of which are connected to the central control unit. The system also includes an access control management unit, which includes an access card reader and an electronic lock, both of which are connected to the central control unit. The video cameras include fixed-focus cameras and variable-focus cameras, both of which are connected to the central control unit. In the intelligent community building monitoring system, the diversity of environmental sensors provides comprehensive environmental monitoring capabilities. The temperature sensor monitors temperature fluctuations inside and outside the building, ensuring that the ambient temperature remains within an appropriate range. This plays an important role in preventing equipment overheating and detecting fire risks. The smoke sensor can promptly detect smoke generated by a fire, providing the system with early warning of fires. The light sensor monitors ambient light intensity and is particularly critical for energy-saving lighting control and ensuring video surveillance quality. Data from these sensors is transmitted to the central control unit in real time via a network, providing data support for the system's environmental management and emergency response. The introduction of an access control management unit enhances building security. Access card readers allow for authentication of personnel entering and exiting, while electronic locks provide physical security. The connection of these access control components to a central control unit not only enables access control but also enables rapid locking of access points in the event of a security incident, preventing unauthorized entry or exit. The diverse selection of video cameras ensures clear surveillance footage and wide coverage. Fixed-focus cameras provide a stable viewing angle, suitable for monitoring specific areas. Variable-focus cameras, on the other hand, can adjust their focus as needed to capture a longer or wider field of view, making them suitable for dynamic monitoring of large areas. The connection of these cameras to the central control unit ensures real-time transmission and processing of video data, providing a visual foundation for event analysis and decision-making. In summary, this community's intelligent building surveillance system, through the coordinated operation of multiple sensors and cameras, not only monitors environmental conditions in real time, but also ensures building security and comprehensive monitoring, providing strong technical support for community security management.
[0031] The aforementioned community building intelligent monitoring system also includes a wireless communication module, which is used to connect the central control unit to the monitoring nodes and the central control unit to an external network. The user interface module includes a touchscreen display and a command input device, both of which are connected to the central control unit. The alarm response unit includes an alarm and an alarm signal receiver, both of which are connected to the central control unit. The data processing module includes a video analysis processor and a data storage device, both of which are connected to the central control unit. The environmental control unit includes an air conditioning controller and a lighting controller, both of which are connected to the central control unit. The monitoring nodes include motion detectors, which include infrared sensors and microwave sensors, both of which are connected to the central control unit. By integrating advanced wireless communication modules, the community building intelligent monitoring system significantly improves system flexibility and scalability. The key function of the wireless communication module is to achieve seamless connectivity between the central control unit and each monitoring node, as well as communication with external networks. This wireless connection method not only simplifies the installation process, reduces the complexity and cost of wiring, but also improves the reliability and anti-interference ability of the system.
[0032] In terms of user interface, the system is equipped with a touchscreen display and command input device, which are directly connected to the central control unit. The touchscreen display provides an intuitive graphical interface that displays real-time video streams, environmental monitoring data, and system status. The command input device allows users to easily configure the system, control surveillance cameras, and perform other necessary operations. This user-friendly design facilitates system management and provides an easy-to-understand and easy-to-use interface for non-technical personnel. The alarm response unit is a key component of the community building intelligent monitoring system. It consists of an alarm and an alarm signal receiver. When the monitoring system detects an abnormal event, such as an illegal intrusion, fire, or other emergency, the alarm immediately sounds an audible and visual alarm, and the alarm signal receiver transmits the alarm information to the central control unit for further processing and response. This rapid alarm mechanism is crucial for preventing and controlling potential security risks. The data processing module is the core of the intelligent monitoring system and includes a video analysis processor and data storage. The video analysis processor uses complex algorithms to analyze video data captured by surveillance cameras, identifying faces, license plates, and other key features, and detecting abnormal behavior patterns. These processing results can be used for automated security monitoring, event warnings, and decision support. The data storage device securely stores all monitoring data for subsequent retrieval and analysis, ensuring data integrity and traceability. The environmental control unit includes an air conditioning controller and a lighting controller, both of which are connected to the central control unit. The air conditioning controller automatically adjusts the indoor temperature based on temperature and humidity data provided by environmental sensors to maintain a comfortable living and working environment. The lighting controller automatically adjusts indoor lighting intensity based on data from the light sensor, saving energy and improving lighting quality. The use of these intelligent controllers not only improves living and working comfort but also helps reduce energy consumption, aligning with the concept of green energy conservation. The motion detectors at the monitoring nodes are key devices for enhancing security in the system. They include infrared sensors and microwave sensors. Infrared sensors detect heat emitted by the human body, while microwave sensors detect the presence of moving objects. The connection between these sensors and the central control unit ensures the system can monitor and analyze moving targets in real time, playing a vital role in preventing unauthorized entry and other security threats.
[0033] Overall, the design of the community building intelligent monitoring system fully considers the needs of practical application scenarios. By integrating a variety of efficient monitoring components and intelligent control devices, it provides a comprehensive security monitoring solution. The system's wireless communication capabilities, intuitive user interface, rapid alarm response, advanced data processing technology, and intelligent environmental control together form an efficient, reliable, and easy-to-manage intelligent monitoring system. With technological advancements and in-depth application, this system will play an increasingly important role in improving community safety, optimizing living environments, and promoting the construction of smart cities.
[0034] The above content is a further detailed description of the present invention in conjunction with specific implementation methods. It cannot be determined that the specific implementation of the present invention is limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, they can make several simple deductions or substitutions without departing from the concept of the present invention, which should be regarded as falling within the scope of protection determined by the claims submitted for the present invention.
Claims
1. A community building intelligent monitoring system, characterized in that: Includes a central control unit and multiple monitoring nodes; The central control unit includes a data processing module and a user interface module, and the data processing module and the user interface module are respectively connected to the cloud server; The monitoring node includes a video camera and an environmental sensor, and the video camera and the environmental sensor are both connected to the central control unit; The information transmission between the data processing module and the central control unit satisfies the following algorithm: ， In the formula, W ( w i ) represents the weight value in the data information, where d Represents the damping coefficient in the range 0-1, where w ij Representative data information i Rank j The weight value of the keyword in the column, where w i Representative (1≤ i ≤ n ) represents the i The sequence number of the group keyword, where w j (1≤ j ≤ n ) represents the j The sequence number of the group keyword, where w jk (1≤ j ≤ k ≤ n ) represents the j Group within group k The sequence number of the group keyword, where wk ∈ O ( w j )represent wk belong O ( w j )gather.
2. The community building intelligent monitoring system according to claim 1 is characterized in that: The environmental sensors include a temperature sensor, a smoke sensor and a light sensor, and the temperature sensor, the smoke sensor and the light sensor are all connected to the central control unit.
3. The community building intelligent monitoring system according to claim 2 is characterized in that: It also includes an access control management unit; The access control management unit includes an access control card reader and an electronic lock, and both the access control card reader and the electronic lock are connected to the central control unit.
4. The community building intelligent monitoring system according to claim 3 is characterized in that: Wherein the video camera comprises a fixed focal length camera and a variable focal length camera; The fixed-focus camera and the variable-focus camera are both connected to the central control unit.
5. The community building intelligent monitoring system according to claim 4 is characterized in that: Also included is a wireless communication module; The wireless communication module is used to connect the central control unit with the monitoring node and the central control unit with an external network.
6. The community building intelligent monitoring system according to claim 5 is characterized in that: Wherein the user interface module includes a touch screen display and a command input device; The touch screen display and the command input device are both connected to the central control unit.
7. The community building intelligent monitoring system according to claim 6 is characterized in that: Also included is an alarm response unit; The alarm response unit includes an alarm and an alarm signal receiver, and both the alarm and the alarm signal receiver are connected to the central control unit.
8. The community building intelligent monitoring system according to claim 7 is characterized in that: Wherein the data processing module includes a video analysis processor and a data storage device; The video analysis processor and the data storage device are both connected to the central control unit.
9. The community building intelligent monitoring system according to claim 8, characterized in that: Also included is an environmental control unit; The environmental control unit includes an air conditioning controller and a lighting controller; The air conditioning controller and the lighting controller are both connected to the central control unit.
10. The community building intelligent monitoring system according to claim 9, characterized in that: Wherein the monitoring node comprises a mobile detector; The motion detector comprises an infrared sensor and a microwave sensor, and both the infrared sensor and the microwave sensor are connected to the central control unit.