Intelligent monitoring system for key area based on communication tower

Abstract

The invention discloses a key area intelligent monitoring system based on communication towers, and relates to the field of communication technology, IoT and intelligent monitoring, and the key area intelligent monitoring system is characterized in that each communication tower is provided with a front-end sensing layer; the front-end sensing layer is used for acquiring sensor data of a key area and preprocessing the sensor data to generate preprocessed data; the channel transmission layer is used for transmitting the preprocessed data to the data processing and analyzing layer; the data processing and analysis layer is used for generating a self-adaptive abnormal behavior recognition model based on a machine learning model library, processing the preprocessed data according to the self-adaptive abnormal behavior recognition model, analyzing abnormal behaviors and generating a data analysis result; the application service layer is used for transmitting the data analysis result to the mobile terminal and formulating an early warning strategy according to abnormal behaviors in different scenes; the early warning strategy comprises an early warning threshold value and a response rule. According to the invention, comprehensive coverage of a monitoring area, rapid monitoring response and timely data processing can be realized.

Description

Technical Field

[0001] The present application relates to the fields of communication technology, Internet of Things (IoT) and intelligent monitoring, and in particular to a key area intelligent monitoring system based on communication towers. Background Art

[0002] With the development of society, there is an increasing demand for intelligent management of key areas such as public safety, environmental monitoring, and disaster warning. Traditional monitoring methods often rely on manual inspections or fixed-point monitoring equipment, which have problems such as incomplete coverage, untimely response, and limited data processing capabilities. Summary of the invention

[0003] The purpose of this application is to provide a key area intelligent monitoring system based on communication towers to solve the problems of incomplete coverage, untimely response and limited data processing capabilities caused by manual inspections or fixed-point monitoring equipment.

[0004] To achieve the above objectives, this application provides the following solutions:

[0005] In a first aspect, the present application provides a key area intelligent monitoring system based on a communication tower, the key area intelligent monitoring system based on a communication tower comprises: a front-end perception layer, a channel transmission layer, a data processing and analysis layer, and an application service layer; each communication tower is provided with a front-end perception layer;

[0006] The front-end perception layer is used to obtain sensor data of key areas and preprocess the sensor data to generate preprocessed data; the sensor data includes images, environmental parameters, sound and vibration displacement; the environmental parameters include temperature, humidity, air quality and electromagnetic spectrum;

[0007] The channel transmission layer is used to transmit the pre-processed data to the data processing and analysis layer;

[0008] The data processing and analysis layer is used to generate an adaptive abnormal behavior recognition model based on a machine learning model library, and process the preprocessed data according to the adaptive abnormal behavior recognition model, analyze abnormal behavior, and generate data analysis results;

[0009] The application service layer is used to transmit the data analysis results to the mobile terminal and formulate an early warning strategy according to abnormal behaviors in different scenarios; the early warning strategy includes an early warning threshold and a response rule.

[0010] Optionally, the front-end perception layer specifically includes: an integrated intelligent edge computing unit and a high-definition camera group connected to the integrated intelligent edge computing unit, an environmental parameter sensor network, a sound recognizer, and a vibration and displacement sensor;

[0011] The high-definition camera group is used to collect images;

[0012] The environmental parameter sensor network is used to collect environmental parameters;

[0013] The sound recognizer is used to collect sound;

[0014] The vibration and displacement sensor is arranged at the key part of the communication tower to collect vibration displacement; the key part includes the antenna installation platform and the holding pole;

[0015] The integrated intelligent edge computing unit is used to preliminarily process the sensor data.

[0016] Optionally, the communication transport layer specifically includes: a 5G and LPWAN hybrid network;

[0017] The communication transmission layer is based on a 5G and LPWAN hybrid network, uses 5G to transmit video streams, and uses encryption and secure transmission protocols based on LPWAN technology to transmit the sensor data.

[0018] Optionally, the data processing and analysis layer specifically includes: a distributed big data processing platform and a machine learning model library; the machine learning model library integrates a variety of machine learning models and deep learning algorithms;

[0019] The distributed big data processing platform develops an adaptive abnormal behavior recognition model based on a machine learning model library, processes the preprocessed data according to the adaptive abnormal behavior recognition model, analyzes abnormal behavior, and generates data analysis results.

[0020] Optionally, the application service layer specifically includes: a 3D visual monitoring interface, an early warning strategy customization module, and a mobile terminal;

[0021] The 3D visual monitoring interface is used to integrate the GIS geographic information system to overlay the 3D map with the real-time monitoring video;

[0022] The warning strategy customization module is used to formulate warning strategies according to abnormal behaviors in different scenarios, and customize alarm levels and notification methods;

[0023] The mobile terminal is used to display the 3D visual monitoring interface, the early warning strategy, the current status of each sensor in the front-end perception layer and the data analysis results.

[0024] Optionally, it also includes: energy management system;

[0025] The energy management system is used to determine the installation quantity and type of energy equipment on the communication tower according to the sunshine and wind conditions at the location of the communication tower; the energy equipment includes solar panels and wind power equipment.

[0026] Optionally, it also includes: maintenance and upgrade strategy formulation module;

[0027] The maintenance and upgrade strategy formulation module is used to establish a regular maintenance and remote diagnosis mechanism and support remote software updates; the regular maintenance and remote diagnosis mechanism includes automatic health checks and reports, remote access and monitoring, fault warnings and notifications, and online fault diagnosis and repair.

[0028] According to the specific embodiments provided by the present application, the present application discloses the following technical effects: communication towers, as widely distributed infrastructure, have the advantages of height, stable power supply, wide coverage, and good communication infrastructure conditions. Based on the characteristics of communication towers, the present application collects and pre-processes sensor data by setting a front-end perception layer on the communication tower to achieve comprehensive coverage of data collection; the data is then transmitted by the communication transmission layer, analyzed by the data processing and analysis layer, and the data analysis results are generated. Finally, the application service layer displays the data analysis results and formulates early warning strategies, thereby processing sensor data in real time, converting manual inspections or fixed-point monitoring equipment into data processing by the data processing and analysis layer, thereby improving data processing capabilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0030] Figure 1 Schematic diagram of the key area intelligent monitoring system based on communication towers provided in this application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0033] As a widely distributed infrastructure, communication towers have the advantages of height, stable power supply, wide coverage, and good communication infrastructure. Based on this, the present application provides a key area intelligent monitoring system based on communication towers, which can achieve intelligent monitoring coverage of specific areas, rapid monitoring response and timely data processing, and provide an ideal platform for building an efficient intelligent monitoring network.

[0034] like Figure 1 As shown, the present application provides a key area intelligent monitoring system based on communication towers, and the key area intelligent monitoring system based on communication towers includes: a front-end perception layer 1, a channel transmission layer 2, a data processing and analysis layer 3 and an application service layer 4; each communication tower is provided with a front-end perception layer 1; the front-end perception layer 1 is used to obtain sensor data of key areas, and pre-process the sensor data to generate pre-processed data; the sensor data includes images, environmental parameters, sounds and vibration displacements; the environmental parameters include temperature, humidity, air quality and electromagnetic spectrum; the channel transmission layer 2 is used to transmit the pre-processed data to the data processing and analysis layer 3; the data processing and analysis layer 3 is used to generate an adaptive abnormal behavior recognition model based on a machine learning model library, and process the pre-processed data according to the adaptive abnormal behavior recognition model, analyze the abnormal behavior, and generate data analysis results; the application service layer 4 is used to transmit the data analysis results to the mobile terminal, and formulate an early warning strategy according to the abnormal behavior in different scenarios; the early warning strategy includes an early warning threshold and a response rule.

[0035] In this application, key areas may refer to key areas with high value or high risk, such as airports, important conference venues, hazardous chemical storage warehouses, etc.

[0036] In actual applications, the front-end perception layer 1 specifically includes: an integrated intelligent edge computing unit and a high-definition camera group, an environmental parameter sensor network, a sound recognizer, and a vibration and displacement sensor connected to the integrated intelligent edge computing unit; the high-definition camera group is used to collect images; the environmental parameter sensor network is used to collect environmental parameters; the sound recognizer is used to collect sounds; the vibration and displacement sensor is located at the key parts of the communication tower to collect vibration displacement; the key parts include the antenna mounting platform and the pole; the integrated intelligent edge computing unit is used to preliminarily process the sensor data.

[0037] Furthermore, the HD camera group: uses 4K or higher resolution cameras equipped with night vision and infrared functions to ensure clear images during the day and night and in adverse weather conditions. The cameras are equipped with intelligent tracking and face recognition technology to improve monitoring accuracy.

[0038] Environmental parameter sensor network: Deploy temperature and humidity sensors, PM2.5 / PM10 particle monitors, noise level detectors, electromagnetic spectrum monitors, radiation monitors, etc. to form a grid monitoring system to ensure the comprehensiveness and accuracy of data. The sensor adopts a low-power design to extend its service life.

[0039] Vibration and displacement sensors: Installed at key locations such as the antenna mounting platform and poles of the communication tower structure to monitor tower stability and promptly detect small changes caused by natural disasters such as earthquakes and strong winds.

[0040] Integrated intelligent edge computing unit: An edge computing module is added to each communication tower to perform preliminary data processing, such as image preprocessing and feature extraction, to reduce the pressure on the back-end server and speed up the response.

[0041] In the front-end perception layer 1, high-definition camera groups, environmental parameter sensor networks, and vibration and displacement sensors acquire situational data about the environment around the communication tower. The integrated intelligent edge computing unit pre-processes these multi-source heterogeneous data for subsequent transmission and analysis.

[0042] In practical applications, the communication transmission layer specifically includes: a 5G and LPWAN hybrid network; the communication transmission layer, based on the 5G and LPWAN hybrid network, uses 5G to transmit video streams, and uses encryption and secure transmission protocols based on LPWAN technology to transmit the sensor data.

[0043] Furthermore, the 5G and LPWAN hybrid network: use the high-speed characteristics of 5G to transmit video streams to ensure real-time monitoring image quality; use LPWAN technologies such as LoRa and NB-IoT to transmit sensor data related to the aforementioned perception layer, reduce energy consumption, and expand coverage.

[0044] Encryption and secure transmission protocol: The new encryption algorithm is used to ensure the security of data during transmission, and the TLS / SSL protocol is combined to ensure the privacy and integrity of the communication link.

[0045] In the communication transmission layer, a hybrid network based on 5G and LPWAN is constructed, and encryption and secure transmission protocols are used to transmit the data obtained by the front-end perception and preprocessing layer to the data processing and analysis layer 3.

[0046] In actual applications, the data processing and analysis layer 3 specifically includes: a distributed big data processing platform and a machine learning model library; the machine learning model library integrates a variety of machine learning models and deep learning algorithms; the distributed big data processing platform develops an adaptive abnormal behavior recognition model based on the machine learning model library, and processes the preprocessed data according to the adaptive abnormal behavior recognition model, analyzes the abnormal behavior, and generates data analysis results.

[0047] Furthermore, the distributed big data processing platform is built on Hadoop or Spark to achieve efficient storage and fast retrieval of massive data and support real-time data stream processing.

[0048] Machine Learning Model Library: Integrates a variety of machine learning and deep learning algorithms, such as convolutional neural networks (CNN) for image recognition and recurrent neural networks (RNN) for analyzing time series data, and supports online training and updating of models.

[0049] Adaptive intelligent early warning model: Develop an adaptive abnormal behavior recognition model, such as through the aforementioned high-definition camera group, data collection and preprocessing (including video stream acquisition, video frame extraction, preprocessing, etc.), feature extraction (motion detection, object recognition and tracking, behavior recognition features, etc.), and then realize abnormal behavior analysis. Taking illegal intrusion recognition as an example, it includes behavior analysis, cross-border detection, etc., as well as fire early sign recognition, including smoke detection, flame recognition, temperature rise monitoring, etc. Adaptability is reflected in the automatic adjustment of relevant parameters in the early warning model according to seasonal and time changes, such as automatically switching different temperature rise detection values ​​in summer and winter.

[0050] In the data processing and analysis layer 3, the distributed big data processing platform is where the computing power lies, the machine learning model library is the basic method set, and the adaptive intelligent early warning model is a comprehensive utilization of the former two, ultimately achieving effective processing and analysis of the front-end perception data obtained through the communication transmission layer.

[0051] In actual applications, the application service layer 4 specifically includes: a 3D visual monitoring interface, an early warning strategy customization module and a mobile terminal; the 3D visual monitoring interface is used to integrate the GIS geographic information system to overlay and display the 3D map with the real-time monitoring video; the early warning strategy customization module is used to formulate early warning strategies according to abnormal behaviors in different scenarios, and customize alarm levels and notification methods; the mobile terminal is used to display the 3D visual monitoring interface, early warning strategies, the current status of each sensor in the front-end perception layer 1 and the data analysis results.

[0052] Furthermore, 3D visual monitoring interface: integrates GIS geographic information system, provides 3D map and real-time monitoring video overlay display, and enhances situational awareness capabilities.

[0053] Early warning strategy customization module: Users can set early warning thresholds and response rules according to different scenarios. The system supports customized alarm levels and notification methods. This is an active early warning method, where users customize the thresholds and response rules of early warnings, which is different from the passive intelligent early warning model automatically identified by the system mentioned above.

[0054] Mobile terminal APP: Develop monitoring management APP for iOS and Android versions to display the monitoring interface, early warning strategy, sensor status, etc., and provide functions such as instant message push, remote control of camera viewing angle, historical data analysis report, etc.

[0055] In actual applications, it also includes: an energy management system; the energy management system is used to determine the installation quantity and type of energy equipment on the communication tower according to the sunshine and wind conditions at the location of the communication tower; the energy equipment includes solar panels and wind power equipment.

[0056] This application realizes clean energy auxiliary power supply through an energy management system to achieve partial or full energy self-sufficiency and improve the sustainable operation capability of the key area smart monitoring system based on communication towers.

[0057] In actual applications, it also includes: a maintenance and upgrade strategy formulation module; the maintenance and upgrade strategy formulation module is used to establish a regular maintenance and remote diagnosis mechanism, so as to realize fault self-inspection and reporting, and support remote software updates to ensure that the system always maintains the best operating state and the latest technology compatibility; the regular maintenance and remote diagnosis mechanism includes automatic health checks and reports (regular self-inspection procedures, generation of health reports), remote access and monitoring (remote login interface, real-time monitoring panel), fault warning and notification (self-test warning system, multi-channel notification), online fault diagnosis and repair (remote diagnosis software, software updates and patches), etc.

[0058] This application obtains data from the front-end perception layer 1, transmits the data to the data processing and analysis layer 3 through the communication transmission layer, and passes the data analysis results to the user through the application service layer 4, and then the user operates or provides feedback, and reverse information transmission realizes system interaction.

[0059] This application makes full use of existing communication tower resources: there is no need to build additional monitoring base stations, reducing deployment costs; and through multi-source data fusion and intelligent analysis, comprehensive monitoring and early warning of key areas can be achieved.

[0060] The present application can also integrate an adaptive algorithm that is strongly related to time in the application service layer 4. The adaptive algorithm can adaptively adjust the monitoring strategy according to environmental changes (season or time) to improve monitoring accuracy and response speed.

[0061] In actual operation, this application can be integrated into an integrated management platform to facilitate cross-departmental collaboration and improve emergency response efficiency.

[0062] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0063] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A key area intelligent monitoring system based on communication towers, characterized in that: The key area intelligent monitoring system based on communication towers includes: a front-end perception layer, a channel transmission layer, a data processing and analysis layer, and an application service layer; each communication tower is provided with a front-end perception layer; The front-end perception layer is used to obtain sensor data of key areas and preprocess the sensor data to generate preprocessed data; the sensor data includes images, environmental parameters, sound and vibration displacement; the environmental parameters include temperature, humidity, air quality and electromagnetic spectrum; The channel transmission layer is used to transmit the pre-processed data to the data processing and analysis layer; The data processing and analysis layer is used to generate an adaptive abnormal behavior recognition model based on a machine learning model library, and process the preprocessed data according to the adaptive abnormal behavior recognition model, analyze abnormal behavior, and generate data analysis results; The application service layer is used to transmit the data analysis results to the mobile terminal and formulate an early warning strategy according to abnormal behaviors in different scenarios; the early warning strategy includes an early warning threshold and a response rule.

2. The key area intelligent monitoring system based on communication tower according to claim 1 is characterized in that: The front-end perception layer specifically includes: an integrated intelligent edge computing unit and a high-definition camera group connected to the integrated intelligent edge computing unit, an environmental parameter sensor network, a sound recognizer, and a vibration and displacement sensor; The high-definition camera group is used to collect images; The environmental parameter sensor network is used to collect environmental parameters; The sound recognizer is used to collect sound; The vibration and displacement sensor is arranged at the key part of the communication tower to collect vibration displacement; the key part includes the antenna installation platform and the holding pole; The integrated intelligent edge computing unit is used to preliminarily process the sensor data.

3. The key area intelligent monitoring system based on communication tower according to claim 1 is characterized in that: The communication transmission layer specifically includes: 5G and LPWAN hybrid network; The communication transmission layer is based on a 5G and LPWAN hybrid network, uses 5G to transmit video streams, and uses encryption and secure transmission protocols based on LPWAN technology to transmit the sensor data.

4. The key area intelligent monitoring system based on communication tower according to claim 1 is characterized in that: The data processing and analysis layer specifically includes: a distributed big data processing platform and a machine learning model library; the machine learning model library integrates a variety of machine learning models and deep learning algorithms; The distributed big data processing platform develops an adaptive abnormal behavior recognition model based on a machine learning model library, processes the preprocessed data according to the adaptive abnormal behavior recognition model, analyzes abnormal behavior, and generates data analysis results.

5. The key area intelligent monitoring system based on communication tower according to claim 1 is characterized in that: The application service layer specifically includes: a 3D visual monitoring interface, an early warning strategy customization module, and a mobile terminal; The 3D visual monitoring interface is used to integrate the GIS geographic information system to overlay the 3D map with the real-time monitoring video; The warning strategy customization module is used to formulate warning strategies according to abnormal behaviors in different scenarios, and customize alarm levels and notification methods; The mobile terminal is used to display the 3D visual monitoring interface, the early warning strategy, the current status of each sensor in the front-end perception layer and the data analysis results.

6. The key area intelligent monitoring system based on communication tower according to claim 1 is characterized in that: Also includes: Energy management systems; The energy management system is used to determine the installation quantity and type of energy equipment on the communication tower according to the sunshine and wind conditions at the location of the communication tower; the energy equipment includes solar panels and wind power equipment.

7. The key area intelligent monitoring system based on communication tower according to claim 1 is characterized in that: Also includes: Maintenance and upgrade strategy formulation module; The maintenance and upgrade strategy formulation module is used to establish a regular maintenance and remote diagnosis mechanism and support remote software updates; the regular maintenance and remote diagnosis mechanism includes automatic health checks and reports, remote access and monitoring, fault warnings and notifications, and online fault diagnosis and repair.

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