Intelligent icing monitoring response system based on Beidou satellite navigation and multi-mode communication

Abstract

According to the intelligent icing monitoring response system based on Beidou satellite navigation and multi-mode communication provided by the invention, the breadth, depth and precision of monitoring are greatly improved through a flexible sensing network and a mobile monitoring platform, and all-weather and high-efficiency monitoring of icing conditions is realized; by means of accurate positioning of the Beidou system and stable transmission of multi-mode communication, the system ensures accurate collection and instant analysis of data, and provides a scientific basis for emergency decision making; through an intelligent data processing and early warning mechanism, potential icing disasters can be recognized and early warned in advance, reasonable configuration and efficient utilization of emergency resources are promoted, the influence of icing on infrastructure and public safety is effectively reduced, and the prevention and response capacity of the icing disasters is greatly improved as a whole.

Description

Technical Field

[0001] This invention relates to the fields of environmental monitoring, disaster early warning and emergency management, and in particular to an intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication. Background Technology

[0002] With global warming and the increasing frequency of extreme weather events, icing is particularly common in winter, posing serious challenges to critical infrastructure such as power systems, transportation networks, and communication facilities. Icing can not only cause power line breaks and communication disruptions, but also trigger traffic accidents, seriously threatening public safety and property. Therefore, how to efficiently and accurately monitor and respond to icing disasters has become a crucial technical problem that urgently needs to be solved.

[0003] Traditional methods for monitoring icing mainly rely on manual inspections and data collection from fixed monitoring stations, which have the following problems:

[0004] 1. Limited monitoring range: Manual inspections and fixed monitoring stations can only cover a limited area, making it difficult to effectively monitor icing conditions in vast remote areas and complex terrains;

[0005] 2. Low data collection efficiency: Manual inspections are time-consuming and labor-intensive, with long data collection cycles, making it difficult to reflect changes in icing conditions in a timely manner. Although fixed monitoring stations can collect data in real time, their limited number and distribution make it impossible to fully cover all key areas.

[0006] 3. Low data accuracy: Traditional methods mainly rely on visual observation and simple measurement, and the data accuracy is greatly affected by human factors, and it is difficult to pinpoint the precise location and extent of ice accumulation;

[0007] 4. Untimely early warning response: Due to the lack of efficient data processing and early warning mechanisms, traditional methods often fail to provide timely warnings before ice accumulation disasters occur, resulting in delayed emergency response and affecting the effectiveness of disaster prevention and control.

[0008] Therefore, it is necessary to provide an intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication to solve the above-mentioned technical problems. Summary of the Invention

[0009] To address the aforementioned technical problems, this invention provides an intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication to solve the problems of limited monitoring range, low data collection efficiency, low data accuracy, and untimely early warning response in icing monitoring technology.

[0010] The present invention provides an intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication, the monitoring and response system comprising:

[0011] A flexible sensor network module is used to collect preliminary icing data by monitoring icing through flexible sensors.

[0012] A mobile monitoring platform is used to coordinate with flexible sensor network modules and to collect further icing data through drones and robots, so as to generate an icing dataset by combining the preliminary icing data.

[0013] The satellite navigation module is used to accurately locate the ice-covered area using the BeiDou system and obtain ice-covered positioning data;

[0014] The multi-mode communication network module is used to integrate multiple communication methods to stably transmit icing location data and icing dataset;

[0015] The intelligent data processing and early warning module is used to analyze and process the transmitted icing location data and icing dataset, and generate early warning information.

[0016] Preferably, the flexible sensor network module includes:

[0017] Flexible sensors are used to attach to the surfaces of infrastructure prone to icing for icing monitoring and to collect data continuously in a non-destructive manner.

[0018] The data processing module is used to process the icing monitoring data collected by the flexible sensor and generate preliminary icing data.

[0019] Preferably, the mobile monitoring platform includes:

[0020] The scheduling module is used to plan the monitoring paths and tasks of drones and robots based on the preliminary icing data collected.

[0021] The data collection and integration module is used to integrate the data collected by drones and robots with the preliminary icing data to form a complete icing dataset.

[0022] Preferably, the satellite navigation module includes:

[0023] The positioning module is used to perform high-precision positioning of drones, robots, and key sensors using the BeiDou satellite navigation system to obtain positioning results.

[0024] The data acquisition module is used to determine the precise location of the ice accumulation based on the positioning results and to collect relevant positioning data;

[0025] The data matching module is used to match the location data with the icing dataset to determine the specific location and extent of each piece of icing and obtain icing location data.

[0026] Preferably, the multi-mode communication network module includes:

[0027] The communication selection module is used to select the appropriate communication method based on the current network environment and data transmission requirements;

[0028] The data transmission verification module is used to transmit icing location data and icing dataset through the selected communication method and perform real-time verification.

[0029] Preferably, the intelligent data processing and early warning module includes:

[0030] The data receiving module is used to receive icing location data and icing datasets from various channels;

[0031] The data analysis module is used to process and analyze the received ice accretion location data and ice accretion dataset in real time using cloud computing and edge computing technologies, combined with deep learning algorithms, to extract key information and obtain analysis results.

[0032] The early warning judgment module is used to determine whether the icing situation has reached the early warning threshold based on the analysis results, and to generate corresponding early warning information based on the judgment results.

[0033] The notification module is used to send the generated early warning information to relevant personnel, reminding them to take appropriate countermeasures.

[0034] Compared with related technologies, the intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication provided by this invention has the following beneficial effects:

[0035] This invention significantly enhances the breadth, depth, and accuracy of monitoring through a flexible sensor network and mobile monitoring platform, enabling all-weather, high-efficiency monitoring of icing conditions. Leveraging the precise positioning of the BeiDou system and the stable transmission of multi-mode communication, the system ensures accurate data collection and real-time analysis, providing a scientific basis for emergency decision-making. Through intelligent data processing and early warning mechanisms, it not only identifies and warns of potential icing disasters in advance but also promotes the rational allocation and efficient utilization of emergency resources, effectively reducing the impact of icing on infrastructure and public safety, and significantly improving the overall ability to prevent and respond to icing disasters. Attached Figure Description

[0036] Figure 1 This is a system block diagram of the intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication of the present invention;

[0037] Figure 2 This is a system block diagram of the flexible sensor network module of the present invention;

[0038] Figure 3 This is a system block diagram of the mobile monitoring platform of the present invention;

[0039] Figure 4 This is a system block diagram of the satellite navigation module of the present invention;

[0040] Figure 5 This is a system block diagram of the multi-mode communication network module of the present invention;

[0041] Figure 6 This is a system block diagram of the intelligent data processing and early warning module of the present invention. Detailed Implementation

[0042] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0043] Example

[0044] An intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication. The monitoring and response system includes:

[0045] The flexible sensor network module is used to collect preliminary icing data by monitoring icing through flexible sensors.

[0046] Specifically, the flexible sensor network module includes:

[0047] Flexible sensors are used to attach to the surfaces of infrastructure prone to icing for icing monitoring and to collect data continuously in a non-destructive manner.

[0048] Specifically, flexible sensors are used to directly contact the surface of infrastructure. They are installed on the infrastructure through non-invasive adhesive or embedding methods and are designed to fit surfaces of different shapes and materials without causing damage to the monitored objects. Flexible sensors are usually made of highly sensitive materials. During the icing process, the sensors continuously measure changes in physical quantities, such as the condensation of water droplets on the surface caused by the temperature drop, the thickness or weight of the gradually formed ice layer, etc., and convert these weak signals into electrical signals in real time and collect data.

[0049] The data processing module is used to process the icing monitoring data collected by the flexible sensor and generate preliminary icing data.

[0050] Specifically, the data processing module amplifies, filters, and performs analog-to-digital conversion on the received electrical signals to remove noise and ensure data accuracy. Subsequently, it performs time-series analysis on the converted digital signals and organizes them into a standardized data format for easy subsequent analysis and transmission. This also includes outlier detection and data smoothing to eliminate the influence of misreadings from individual sensors or environmental interference. Finally, it generates preliminary icing data.

[0051] A mobile monitoring platform is used to coordinate with flexible sensor network modules and to collect further icing data via drones and robots, in order to generate an icing dataset by combining preliminary icing data.

[0052] Specifically, the mobile monitoring platform includes:

[0053] The scheduling module is used to plan the monitoring paths and tasks of drones and robots based on the preliminary icing data collected.

[0054] Specifically, the scheduling module acquires the latest preliminary icing data, including the location, coverage area, and potential severity of suspected icing areas. It then uses algorithms, such as genetic algorithms, to analyze the data, considering factors like terrain, weather conditions, and battery life, to determine the optimal path and task sequence. Based on the path planning results, it issues specific instructions to the drones and robots, including takeoff / start time, destination, monitoring focus, and data collection requirements. Finally, during execution, the scheduling module continuously monitors the status of each mobile device and environmental changes, adjusting paths or reassigning tasks as needed to address unforeseen circumstances.

[0055] The data collection and integration module is used to integrate the data collected by drones and robots with the preliminary icing data to form a complete icing dataset.

[0056] Specifically, the data collection and integration module is used to receive high-definition images, videos, temperature, humidity, and other multi-source data transmitted back by drones and robots in real time. It performs noise reduction, correction, and format unification on the raw data, such as image enhancement processing to improve the clarity and analyzability of visual data. It compares and analyzes the pre-processed mobile device data with the preliminary data from the flexible sensor network, and uses data fusion technology to improve the accuracy and completeness of the data. Finally, it integrates all the information to form a comprehensive icing dataset containing multi-dimensional information such as time, location, icing type, thickness, and development speed.

[0057] The satellite navigation module is used to accurately locate the ice-covered area using the BeiDou system and obtain ice-covered positioning data.

[0058] Specifically, the satellite navigation module includes:

[0059] The positioning module is used to perform high-precision positioning of drones, robots, and key sensors using the BeiDou satellite navigation system to obtain positioning results.

[0060] Specifically, the positioning module receives navigation signals from BeiDou satellites through an integrated high-sensitivity antenna, decodes the received satellite signals, extracts information such as the satellite launch timestamp and orbital parameters, uses a multi-satellite positioning algorithm, combines signals from at least four satellites to calculate the device's three-dimensional coordinates and time information, and finally outputs the calculated positioning data in real time, including the device's precise location coordinates and timestamp.

[0061] The data acquisition module is used to determine the precise location of the ice accumulation based on the positioning results and to collect relevant positioning data.

[0062] Specifically, the data acquisition module is used to mark the geographic coordinates of the collected data based on the real-time location of the drone, robot, or sensor, and package the location information together with the corresponding monitoring data, such as ice thickness and ambient temperature, to form a data packet with a location tag. The data packet is then sent in real time through a built-in or external communication module.

[0063] The data matching module is used to match the location data with the icing dataset to determine the specific location and extent of each piece of icing and obtain icing location data.

[0064] Specifically, the data matching module receives raw data from various modules, including location data and icing monitoring data, parses the data format, and pairs the icing monitoring data with the corresponding geographical locations based on timestamps and location information to establish the spatiotemporal relationship between the data. It uses algorithms to identify and merge monitoring data from duplicate or similar locations to generate a unified and ordered icing location dataset that clearly displays the precise location, extent, and related attributes of each piece of icing. Finally, it outputs the integrated icing location data.

[0065] The multi-mode communication network module is used to integrate multiple communication methods to stably transmit icing location data and icing dataset.

[0066] Specifically, the multi-mode communication network module includes:

[0067] The communication selection module is used to select the appropriate communication method based on the current network environment and data transmission requirements.

[0068] Specifically, the communication selection module continuously monitors and analyzes the surrounding network environment, including the signal strength, network congestion, and availability of various networks. Based on the specific needs of the current task, such as whether high-speed transmission of large amounts of data is required, whether the operation is in a remote area, or energy consumption limitations, it determines the priority of communication needs and automatically selects the best communication mode using a preset algorithm. For example, in an urban environment, it may prefer to use 4G / 5G or Wi-Fi for high-speed transmission, while in a remote area, it may switch to satellite communication. After determining the optimal communication mode, it automatically configures the hardware and software parameters, switches to the selected communication mode, and prepares for data transmission.

[0069] The data transmission verification module is used to transmit icing location data and icing dataset through the selected communication method and perform real-time verification.

[0070] Specifically, the data transmission verification module is used to encapsulate the data to be transmitted according to the requirements of the selected communication protocol, including adding checksums, header information, etc., and send the encapsulated data packets through the selected communication interface. During data transmission, the receiving end verifies the received data packets. Once the data packet is successfully received and passes the verification, the receiving end sends an acknowledgment message to the sending end. If no acknowledgment is received, the data packet is retransmitted. Then, if the verification finds an error that cannot be corrected, or if the transmission still fails after exceeding the predetermined number of retransmissions, the system will record the error and attempt to take alternative measures, such as reselecting the communication mode or notifying the upper-layer system.

[0071] The intelligent data processing and early warning module is used to analyze and process the transmitted icing location data and icing dataset, and generate early warning information.

[0072] Specifically, the intelligent data processing and early warning module includes:

[0073] The data receiving module is used to receive icing location data and icing datasets from various channels.

[0074] Specifically, the data receiving module is used to maintain the connection interfaces with various data sources, ensure the compatibility and stability of data transmission protocols, and listen to and receive data packets transmitted from various channels in real time. It performs preliminary format verification and decoding, and performs basic cleaning and format unification on the raw data, such as removing invalid or erroneous data and converting data formats, in preparation for subsequent analysis. The preprocessed data is temporarily stored in a buffer or directly pushed to the data analysis module, and may also be archived in a long-term storage device for use in historical data analysis.

[0075] The data analysis module is used to process and analyze the received icing location data and icing dataset in real time using cloud computing and edge computing technologies, combined with deep learning algorithms, to extract key information and obtain analysis results.

[0076] Specifically, the data analysis module is used to distribute data to the cloud or edge for processing based on the distribution of computing resources and data processing needs, achieving load balancing and efficient utilization. It also uses deep learning models, such as convolutional neural networks and recurrent neural networks, to extract icing feature information from the data, such as icing thickness, development speed, and coverage area. Then, it analyzes the extracted features to predict the development trend of icing and the potential risks. Finally, it summarizes the key information obtained from the analysis into an easy-to-understand form, such as charts and reports, to provide a basis for decision-making.

[0077] The early warning judgment module is used to determine whether the icing situation has reached the early warning threshold based on the analysis results, and to generate corresponding early warning information based on the judgment results.

[0078] Specifically, the early warning judgment module is used to compare the analysis results with preset early warning standards, such as ice thickness and growth rate, and comprehensively consider factors such as geographical location, infrastructure importance, and weather forecast to assess the degree of impact that ice may cause. When the assessment results show that the ice condition reaches or exceeds the early warning threshold, the early warning mechanism is triggered.

[0079] The notification module is used to send the generated early warning information to relevant personnel, reminding them to take appropriate countermeasures.

[0080] Specifically, the notification module is used to ensure that information is delivered through various channels such as SMS, email, app push, and telephone notifications. It records the sending status of warning information and the feedback from the recipient, and is used to evaluate the effectiveness of the notification and for subsequent optimization.

[0081] The present invention has the following beneficial effects:

[0082] Improve monitoring efficiency and accuracy: By combining flexible sensor networks with mobile monitoring platforms, the system can monitor icy areas in real time and with high precision. It not only covers a wide area, but also, through the mobility of drones and robots, can quickly respond and delve into complex terrain to collect detailed data, thus improving the comprehensiveness and accuracy of the data.

[0083] Precise positioning and extent definition: The satellite navigation module utilizes the high-precision positioning capabilities of the BeiDou system to ensure accurate location of the ice-covered area. Combined with data matching technology, it can clearly define the specific extent of each ice-covered area, providing a scientific basis for subsequent emergency response and resource allocation.

[0084] Enhanced data transmission reliability: The multi-mode communication network module flexibly selects the optimal communication method according to the actual situation, ensuring efficient and stable transmission of icing data and positioning information. Even in remote or harsh environments, it can ensure uninterrupted data transmission, enhancing the reliability and practicality of the system.

[0085] Intelligent Decision Support: The intelligent data processing and early warning module utilizes advanced data analysis technology to quickly extract key information from massive amounts of data, enabling effective prediction of icing trends. The early warning and judgment mechanism can promptly identify potential risks and issue warnings in advance, allowing relevant departments and personnel sufficient preparation time to effectively avoid or mitigate the impact of icing disasters.

[0086] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0087] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0088] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

Claims

1. An intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication, characterized in that, The monitoring and response system includes: A flexible sensor network module is used to collect preliminary icing data by monitoring icing through flexible sensors. A mobile monitoring platform is used to coordinate with flexible sensor network modules and to collect further icing data through drones and robots, in order to generate an icing dataset by combining preliminary icing data. The satellite navigation module is used to accurately locate the ice-covered area using the BeiDou system and obtain ice-covered positioning data; The multi-mode communication network module is used to integrate multiple communication methods to stably transmit icing positioning data and icing dataset; The intelligent data processing and early warning module is used to analyze and process the transmitted icing location data and icing dataset, and generate early warning information.

2. The intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication according to claim 1, characterized in that, The flexible sensor network module includes: Flexible sensors are used to attach to the surfaces of infrastructure prone to icing for icing monitoring and to collect data continuously in a non-destructive manner. The data processing module is used to process the icing monitoring data collected by the flexible sensor and generate preliminary icing data.

3. The intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication according to claim 1, characterized in that, The mobile monitoring platform includes: The scheduling module is used to plan the monitoring paths and tasks of drones and robots based on the preliminary icing data collected. The data collection and integration module is used to integrate the data collected by drones and robots with the preliminary icing data to form a complete icing dataset.

4. The intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication according to claim 1, characterized in that, The satellite navigation module includes: The positioning module is used to perform high-precision positioning of drones, robots, and key sensors using the BeiDou satellite navigation system to obtain positioning results. The data acquisition module is used to determine the precise location of the ice accumulation based on the positioning results and to collect relevant positioning data; The data matching module is used to match the location data with the icing dataset to determine the specific location and extent of each piece of icing and obtain icing location data.

5. The intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication according to claim 1, characterized in that, The multi-mode communication network module includes: The communication selection module is used to select the appropriate communication method based on the current network environment and data transmission requirements; The data transmission verification module is used to transmit icing location data and icing dataset through the selected communication method and perform real-time verification.

6. The intelligent icing monitoring and response system based on BeiDou satellite navigation and multi-mode communication according to claim 1, characterized in that, The intelligent data processing and early warning module includes: The data receiving module is used to receive icing location data and icing datasets from various channels; The data analysis module is used to process and analyze the received ice accretion location data and ice accretion dataset in real time using cloud computing and edge computing technologies, combined with deep learning algorithms, to extract key information and obtain analysis results. The early warning judgment module is used to determine whether the icing situation has reached the early warning threshold based on the analysis results, and to generate corresponding early warning information based on the judgment results. The notification module is used to send the generated early warning information to relevant personnel, reminding them to take appropriate countermeasures.

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