Movable highway traffic weather real-time monitoring and early warning system

Abstract

The invention discloses a movable highway traffic meteorological real-time monitoring and early warning system. The system comprises a monitoring data acquisition module which is responsible for acquiring traffic meteorological data along a highway in real time through a sensor; the data processing and analyzing module is responsible for preprocessing and analyzing the collected traffic meteorological data; the data storage and management module is responsible for storing the processed traffic meteorological data in a local or remote database; the communication transmission module is responsible for transmitting the processed traffic meteorological data to a monitoring center or a related terminal through a main communication channel or a standby communication channel; according to the invention, the communication transmission module ensures the reliability and stability of data in the transmission process through the dual guarantee of the main communication channel and the standby communication channel, and the real-time transmission capability enables the monitoring center and the related terminal to rapidly obtain the latest meteorological information and make a response in time.

Description

Technical Field

[0001] The invention relates to the technical field of highway monitoring and early warning, and in particular to a mobile highway traffic weather real-time monitoring and early warning system. Background Art

[0002] As an important part of modern transportation, highways carry a large amount of traffic and cargo, which is crucial to the development of the national economy and the convenience of people's lives. Different seasons and meteorological conditions, especially extreme weather such as rain, snow, fog and haze, pose a serious threat to the safety and traffic efficiency of highways. These weather conditions not only affect the driver's vision and judgment, but also may cause dangerous conditions such as slippery and icy roads. A system that can monitor and warn traffic meteorological changes in real time is of great significance for preventing and reducing traffic accidents caused by extreme weather.

[0003] In the prior art, the transmission speed and stability of the traditional system may be affected by environmental factors, such as signal interference, resulting in data transmission delay or loss. As a result, the traditional system may not be able to capture certain important environmental change information in time, resulting in missed reports. Therefore, a mobile highway traffic weather real-time monitoring and early warning system is proposed. Summary of the invention

[0004] The purpose of the present invention is to solve the problem in the prior art that the transmission speed and stability of the traditional system may be affected by environmental factors, such as signal interference, resulting in data transmission delay or loss, which may cause the traditional system to fail to capture certain important environmental change information in time, resulting in underreporting, and to propose a mobile highway traffic weather real-time monitoring and early warning system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A mobile highway traffic weather real-time monitoring and early warning system, comprising:

[0007] Monitoring data collection module: responsible for collecting real-time traffic meteorological data along the highway through sensors (such as wind speed and direction sensors, temperature and humidity sensors, rainfall sensors, etc.);

[0008] Data processing and analysis module: responsible for preprocessing the collected traffic meteorological data (such as filtering, denoising, etc.), analyzing it, and extracting useful information;

[0009] Data storage and management module: responsible for storing the processed traffic meteorological data in a local or remote database and performing effective management and maintenance;

[0010] Communication transmission module: responsible for transmitting the processed traffic meteorological data to the monitoring center or related terminals through the main communication channel or backup communication channel;

[0011] Early warning judgment and release module: responsible for judging the processed data and generating early warning information based on the judgment results;

[0012] User interaction and configuration module: provides user interface;

[0013] Power management and power supply module: responsible for providing power supply, managing the use and distribution of power;

[0014] The monitoring data acquisition module transmits the collected traffic meteorological data to the data processing and analysis module, and the data processing and analysis module transmits the processed traffic meteorological data and the early warning judgment results to the data storage and management module, the communication transmission module and the early warning judgment and release module. The data storage and management module provides data query and export services to the user interaction and configuration module as needed, and the early warning judgment and release module releases the early warning information to the user interaction and configuration module.

[0015] The above technical solution further includes:

[0016] Furthermore, the monitoring data acquisition module includes a sensor unit, a data collector, a temporary data storage unit and a data transmission unit. The sensor unit includes a wind speed and direction sensor, a temperature and humidity sensor, an air pressure sensor, a rainfall sensor, etc., which is responsible for directly sensing and measuring the traffic meteorological data along the highway. The data collector is responsible for receiving the traffic meteorological data from each sensor unit and performing preliminary processing and conversion (such as analog-to-digital conversion, data formatting, etc.). The temporary data storage unit is responsible for temporarily storing data during data transmission to prevent data loss. The temporary data storage unit usually uses a non-volatile memory (such as Flash, EEPROM, etc.) to ensure that the data remains unchanged even when the power is off. The data transmission unit is responsible for transmitting the processed data to the data processing and analysis module. The data transmission can be carried out by wired (such as Ethernet, optical fiber, etc.) or wireless (such as Wi-Fi, Bluetooth, LoRa, NB-IoT, etc.), depending on the system design and site conditions. The sensor unit transmits the real-time collected traffic meteorological data (such as analog signal) to the data collector, and the data collector transmits the processed data to the temporary data storage unit for temporary storage. The data collector transmits the processed data to the data transmission unit.

[0017] Furthermore, the data processing and analysis module includes a data collection unit, a data preprocessing unit, a data analysis unit and a key information extraction unit. The data collection unit is responsible for acquiring traffic meteorological data and transmitting the data to the data storage and management module. The data preprocessing unit receives data from the data storage and management module, performs filtering, denoising, cleaning and formatting, and then transmits the processed data to the data storage and management module and the data analysis unit. The data analysis unit receives the preprocessed data and analyzes it to produce analysis results, which will be used for key information extraction and early warning judgment. The key information extraction unit receives the analysis results from the data analysis unit, extracts key information, and passes it to the early warning judgment and release module.

[0018] Furthermore, the data analysis unit includes a statistical analysis subunit, an optimization algorithm processing subunit and an artificial intelligence subunit. The statistical analysis subunit is responsible for performing basic statistical analysis, the optimization algorithm processing subunit is responsible for applying a special algorithm to process data, and the artificial intelligence subunit is responsible for training models, making predictions and classifications.

[0019] Furthermore, the artificial intelligence subunit uses LSTM to train, test and reason on the processed data, including the following steps:

[0020] Data preparation:

[0021] Collect the characteristic data of traffic meteorological data related to warning, and divide the data set into training set, validation set and test set with the ratio of 70%, 15% and 15%;

[0022] Model construction:

[0023] Building a model using LSTM:

[0024] Forget gate: f t =σ(W f ·[h t-1 ,x t ]+b f )

[0025] Among them, W f is the weight matrix of the forget gate, b f is the bias term, σ is the sigmoid function, [h t-1 ,x t ] means to set h t-1 and x t Concatenate into a vector;

[0026] Input gate: The input gate is responsible for updating the cell state. The input gate consists of two parts: one is the sigmoid layer, which determines which information will be updated; the other is the tanh layer, which creates a new candidate value vector. The new candidate value vector is added to the cell state. Finally, the two information are multiplied to update the cell state.

[0027] Sigmoid layer: i t =σ(W i ·[h t-1 ,x t ]+b i );

[0028] Tanh layer:

[0029] Cell status update:

[0030] Output gate: The output gate determines which part of the information based on the cell state is used for output, according to the current input tx t , the state of the hidden layer at the previous moment h t-1 And the latest cell state C t , through the interaction of sigmoid function and tanh function, the output h at the current moment is determined t ;

[0031] Sigmoid layer: o t =σ(W o ·[h t-1 ,x t ]+b o );

[0032] Output hidden state: h t =o t *tanh(C t );

[0033] Training process:

[0034] Forward propagation: For each time step of input, the RNN calculates the hidden state and output;

[0035] Calculate loss: Use a loss function to measure the difference between the model prediction and the actual label;

[0036] Back propagation: Calculate the gradient of loss with respect to model parameters through the time back propagation algorithm;

[0037] Parameter update: Use Adam to update model parameters according to the gradient;

[0038] Testing and Reasoning:

[0039] The model performance is evaluated on the test set. During inference, the data to be classified into warning categories is input into the trained model. The model outputs the probability distribution of each warning category, and the warning category with the highest probability is taken as the warning result.

[0040] Furthermore, the data storage and management module includes a data storage unit, a data compression and encoding unit, a data management unit, a data backup unit, a data recovery unit and a security control unit. The data storage unit is responsible for the physical storage of data, including the management of local storage devices and remote database servers. The data compression and encoding unit is responsible for data compression, encoding and decoding to reduce storage space occupancy while ensuring data recoverability. The data management unit is responsible for management tasks such as data organization, indexing, query optimization, etc. to improve data access efficiency. The data backup unit is responsible for performing database backup operations regularly or according to preset strategies to ensure data recoverability. When necessary, the data recovery unit recovers data from the backup to the database or a designated location. The security control unit is responsible for implementing access control strategies, encrypting sensitive data, and protecting data security. After the data processing and analysis module completes data processing and analysis, it passes the processing results and analysis result data to the data storage unit for storage. Before data storage, the data compression and encoding unit compresses and encodes the data received by the storage unit. The data management unit continuously monitors the data in the data storage unit. When necessary, the data management unit triggers the data backup unit to perform a backup operation.

[0041] Furthermore, the communication transmission module includes a data transmission unit, a communication interface unit, a communication channel monitoring unit, an automatic switching control unit and a data encryption and verification unit. The data transmission unit is responsible for data encapsulation, encoding and sending, and receiving response data from the monitoring center or related terminals. The communication interface unit is responsible for providing interfaces with different communication methods (such as 5G modules, satellite communication equipment, wired network interfaces, etc.) to realize physical transmission of data. The communication channel monitoring unit is responsible for real-time monitoring of the status of the communication channel, including signal quality, connection status, etc., and generating corresponding monitoring reports. When the main communication channel fails, the automatic switching control unit controls the data transmission unit to switch to the backup communication channel. The data encryption and verification unit is responsible for encrypting the transmitted data and performing data verification at the receiving end to ensure data transmission. The data transmission security and data integrity are ensured, the data processing and analysis module transmits the processed data and warning information to the data transmission unit, the data transmission unit sends the encapsulated data to the designated communication channel through the communication interface unit, the communication interface unit performs physical data transmission with the communication channel, receives data from the communication channel or sends data to the communication channel, the communication channel monitoring unit monitors the status of the communication channel and reports the monitoring result to the communication interface unit and the automatic switching control unit, when the main communication channel fails, the automatic switching control unit controls the data transmission unit to switch to the backup communication channel according to the monitoring result, before data transmission, the data encryption and verification unit encrypts the data, and when the data is received, the data encryption and verification unit verifies the data to ensure the integrity and security of the data.

[0042] Furthermore, the warning judgment and release module includes a data source unit, a warning logic judgment unit, a warning information release unit and a recording and tracking unit. The data source unit is responsible for collecting key information provided by the data processing and analysis module, and passing it to the warning logic judgment unit. The warning logic judgment unit judges the processed data according to preset warning rules and thresholds, determines the warning level, and passes the result to the warning information release unit. The warning information release unit releases warning information according to the warning level and preset release strategy. The recording and tracking unit is responsible for recording detailed information of each warning and providing historical data query function.

[0043] The present invention has the following beneficial effects:

[0044] 1. In the present invention, LSTM is used to train, test and predict meteorological data, which can identify potential meteorological risks in advance, such as severe weather changes, and provide a scientific basis for traffic management.

[0045] 2. In the present invention, the communication transmission module ensures the reliability and stability of data during transmission through the dual protection of the main communication channel and the backup communication channel. The real-time transmission capability enables the monitoring center and related terminals to quickly obtain the latest meteorological information and respond in time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a system block diagram of a mobile highway traffic weather real-time monitoring and early warning system proposed by the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 As shown, the present invention is a mobile highway traffic weather real-time monitoring and early warning system, comprising:

[0049] Monitoring data collection module: responsible for collecting real-time traffic meteorological data along the highway through sensors (such as wind speed and direction sensors, temperature and humidity sensors, rainfall sensors, etc.);

[0050] Data processing and analysis module: responsible for preprocessing the collected traffic meteorological data (such as filtering, denoising, etc.), analyzing it, and extracting useful information;

[0051] Data storage and management module: responsible for storing the processed traffic meteorological data in a local or remote database and performing effective management and maintenance;

[0052] Communication transmission module: responsible for transmitting the processed traffic meteorological data to the monitoring center or related terminals through the main communication channel or backup communication channel;

[0053] Early warning judgment and release module: responsible for judging the processed data and generating early warning information based on the judgment results;

[0054] User interaction and configuration module: provides user interface;

[0055] Power management and power supply module: responsible for providing power supply, managing the use and distribution of power;

[0056] The monitoring data acquisition module transmits the collected traffic meteorological data to the data processing and analysis module. The data processing and analysis module transmits the processed traffic meteorological data and the warning judgment results to the data storage and management module, the communication transmission module and the warning judgment and release module. The data storage and management module provides data query and export services to the user interaction and configuration module as needed. The warning judgment and release module releases the warning information to the user interaction and configuration module.

[0057] The working principle of the mobile highway traffic weather real-time monitoring and early warning system proposed by the present invention is to activate sensors, including wind speed and direction sensors, temperature and humidity sensors, rainfall sensors, etc., to collect traffic weather data along the highway in real time according to a preset frequency, and transmit the collected raw data to the data processing and analysis module through an internal interface or bus;

[0058] The data processing and analysis module receives the raw data from the monitoring data acquisition module and performs data preprocessing, including filtering, denoising, data verification, etc., to improve data quality. It conducts in-depth analysis on the preprocessed data and extracts useful information, such as wind speed change trends, humidity levels, rainfall intensity, etc. Based on the analysis results, it performs anomaly detection or trend prediction.

[0059] The data storage and management module receives the processed data and warning judgment results from the data processing and analysis module, stores the data in a local or remote database, ensures the security and accessibility of the data, and performs data management, including data backup, recovery, and cleanup, to maintain the performance of the database and the integrity of the data. According to the preset communication protocol and parameters, the processed traffic meteorological data is transmitted to the monitoring center or related terminals through the main communication channel, such as 4G / 5G, optical fiber, etc.;

[0060] If the main communication channel fails, it will automatically switch to the backup communication channel to ensure the continuity and reliability of data transmission;

[0061] The warning judgment and release module receives the warning judgment results from the data processing and analysis module, and further determines whether it is necessary to release warning information based on the preset warning rules and thresholds. If necessary, it generates warning information and releases it to relevant personnel through the user interaction and configuration module or dedicated communication channels, such as SMS, APP push, etc.

[0062] In one embodiment, for the above-mentioned monitoring data acquisition module, the monitoring data acquisition module includes a sensor unit, a data collector, a temporary data storage unit and a data transmission unit. The sensor unit includes a wind speed and direction sensor, a temperature and humidity sensor, an air pressure sensor, a rainfall sensor, etc., which is responsible for directly sensing and measuring the traffic meteorological data along the highway. The data collector is responsible for receiving the traffic meteorological data from each sensor unit and performing preliminary processing and conversion (such as analog-to-digital conversion, data formatting, etc.). The temporary data storage unit is responsible for temporarily storing data during data transmission to prevent data loss. The temporary data storage unit usually uses a non-volatile memory (such as Flash, EEPROM, etc.) to ensure that the data remains unchanged even when the power is off. The data transmission unit is responsible for transmitting the processed data to the data processing and analysis module. The data transmission can be carried out by wire (such as Ethernet, optical fiber, etc.) or wireless (such as Wi-Fi, Bluetooth, LoRa, NB-IoT, etc.), depending on the system design and site conditions. The sensor unit transmits the real-time collected traffic meteorological data (such as analog signal) to the data collector, and the data collector transmits the processed data to the temporary data storage unit for temporary storage. The data collector transmits the processed data to the data transmission unit.

[0063] In one embodiment, for the above-mentioned data processing and analysis module, the data processing and analysis module includes a data collection unit, a data preprocessing unit, a data analysis unit and a key information extraction unit. The data collection unit is responsible for acquiring traffic meteorological data and transmitting the data to the data storage and management module. The data preprocessing unit receives data from the data storage and management module, performs filtering, denoising, cleaning and formatting, and then transmits the processed data to the data storage and management module and the data analysis unit. The data analysis unit receives the preprocessed data and analyzes it to produce analysis results. The analysis results will be used for key information extraction and early warning judgment. The key information extraction unit receives the analysis results from the data analysis unit, extracts key information, and passes it to the early warning judgment and release module.

[0064] In one embodiment, for the above-mentioned data analysis unit, the data analysis unit includes a statistical analysis subunit, an optimization algorithm processing subunit and an artificial intelligence subunit. The statistical analysis subunit is responsible for performing basic statistical analysis, the optimization algorithm processing subunit is responsible for applying a special algorithm to process data, and the artificial intelligence subunit is responsible for training models, making predictions and classifications.

[0065] In one embodiment, for the artificial intelligence subunit, the artificial intelligence subunit uses LSTM to train, test and predict the processed data, including the following steps:

[0066] Data preparation:

[0067] Collect the characteristic data of traffic meteorological data related to warning, and divide the data set into training set, validation set and test set with the ratio of 70%, 15% and 15%;

[0068] Model construction:

[0069] Building a model using LSTM:

[0070] Forget gate: f t =σ(W f ·[h t-1 ,x t ]+b f )

[0071] Among them, W f is the weight matrix of the forget gate, b f is the bias term, σ is the sigmoid function, [h t-1 ,x t ] means to set h t-1 and x t Concatenate into a vector;

[0072] Input gate: The input gate is responsible for updating the cell state. The input gate consists of two parts: one is the sigmoid layer, which determines which information will be updated; the other is the tanh layer, which creates a new candidate value vector. The new candidate value vector is added to the cell state. Finally, the two information are multiplied to update the cell state.

[0073] Sigmoid layer: i t =σ(W i ·[h t-1 ,x t ]+b i );

[0074] Tanh layer:

[0075] Cell status update:

[0076] Output gate: The output gate determines which part of the information based on the cell state is used for output, according to the current input tx t , the state of the hidden layer at the previous moment h t-1 And the latest cell state C t , through the interaction of sigmoid function and tanh function, the output h at the current moment is determined t ;

[0077] Sigmoid layer: o t =σ(W o ·[h t-1 ,x t]+b o );

[0078] Output hidden state: h t =o t *tanh(C t );

[0079] Training process:

[0080] Forward propagation: For each time step of input, the RNN calculates the hidden state and output;

[0081] Calculate loss: Use a loss function to measure the difference between the model prediction and the actual label;

[0082] Back propagation: Calculate the gradient of loss with respect to model parameters through the time back propagation algorithm;

[0083] Parameter update: Use Adam to update model parameters according to the gradient;

[0084] Testing and Reasoning:

[0085] The model performance is evaluated on the test set. During inference, the data to be classified into warning categories is input into the trained model. The model outputs the probability distribution of each warning category, and the warning category with the highest probability is taken as the warning result.

[0086] In one embodiment, for the above-mentioned data storage and management module, the data storage and management module includes a data storage unit, a data compression and encoding unit, a data management unit, a data backup unit, a data recovery unit and a security control unit. The data storage unit is responsible for the physical storage of data, including the management of local storage devices and remote database servers. The data compression and encoding unit is responsible for data compression, encoding and decoding to reduce storage space occupancy while ensuring data recoverability. The data management unit is responsible for management tasks such as data organization, indexing, query optimization, etc. to improve data access efficiency. The data backup unit is responsible for performing database backup operations regularly or according to preset strategies to ensure data recoverability. When necessary, the data recovery unit recovers data from the backup to the database or a designated location. The security control unit is responsible for implementing access control strategies, encrypting sensitive data, and protecting data security. After the data processing and analysis module completes data processing and analysis, it passes the processing results and analysis result data to the data storage unit for storage. Before data storage, the data compression and encoding unit compresses and encodes the data received by the storage unit. The data management unit continuously monitors the data in the data storage unit. When necessary, the data management unit triggers the data backup unit to perform a backup operation.

[0087] In one embodiment, for the above-mentioned communication transmission module, the communication transmission module includes a data transmission unit, a communication interface unit, a communication channel monitoring unit, an automatic switching control unit, and a data encryption and verification unit. The data transmission unit is responsible for encapsulating, encoding and sending data, and receiving response data from the monitoring center or related terminals. The communication interface unit is responsible for providing interfaces with different communication methods (such as 5G modules, satellite communication equipment, wired network interfaces, etc.) to realize physical transmission of data. The communication channel monitoring unit is responsible for real-time monitoring of the status of the communication channel, including signal quality, connection status, etc., and generating corresponding monitoring reports. When the main communication channel fails, the automatic switching control unit controls the data transmission unit to switch to the backup communication channel. The data encryption and verification unit is responsible for encrypting the transmitted data and performing encryption processing on the receiving end. Data verification ensures the security and integrity of data transmission. The data processing and analysis module passes the processed data and warning information to the data transmission unit. The data transmission unit sends the encapsulated data to the designated communication channel through the communication interface unit. The communication interface unit performs physical data transmission with the communication channel, receives data from the communication channel or sends data to the communication channel. The communication channel monitoring unit monitors the status of the communication channel and reports the monitoring results to the communication interface unit and the automatic switching control unit. When the main communication channel fails, the automatic switching control unit controls the data transmission unit to switch to the backup communication channel according to the monitoring results. Before data transmission, the data encryption and verification unit encrypts the data. When the data is received, the data encryption and verification unit verifies the data to ensure the integrity and security of the data.

[0088] In one embodiment, for the above-mentioned early warning judgment and release module, the early warning judgment and release module includes a data source unit, an early warning logic judgment unit, an early warning information release unit and a recording and tracking unit. The data source unit is responsible for collecting key information provided by the data processing and analysis module, and passing it to the early warning logic judgment unit. The early warning logic judgment unit judges the processed data according to preset early warning rules and thresholds, determines the early warning level, and passes the result to the early warning information release unit. The early warning information release unit releases the early warning information according to the early warning level and the preset release strategy. The recording and tracking unit is responsible for recording the detailed information of each early warning and providing a historical data query function.

[0089] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A mobile highway traffic weather real-time monitoring and early warning system, characterized in that: include: Monitoring data collection module: responsible for collecting traffic meteorological data along the highway in real time through sensors; Data processing and analysis module: responsible for preprocessing and analyzing the collected traffic meteorological data; Data storage and management module: responsible for storing the processed traffic meteorological data in a local or remote database; Communication transmission module: responsible for transmitting the processed traffic meteorological data to the monitoring center or related terminals through the main communication channel or backup communication channel; Early warning judgment and release module: responsible for judging the processed data and generating early warning information based on the judgment results; User interaction and configuration module: provides user interface; Power management and power supply module: responsible for providing power supply, managing the use and distribution of power; The monitoring data acquisition module transmits the collected traffic meteorological data to the data processing and analysis module, and the data processing and analysis module transmits the processed traffic meteorological data and the early warning judgment results to the data storage and management module, the communication transmission module and the early warning judgment and release module. The data storage and management module provides data query and export services to the user interaction and configuration module as needed, and the early warning judgment and release module releases the early warning information to the user interaction and configuration module.

2. A mobile highway traffic weather real-time monitoring and early warning system according to claim 1, characterized in that: The monitoring data acquisition module includes a sensor unit, a data collector, a temporary data storage unit and a data transmission unit. The sensor unit is responsible for directly sensing and measuring the traffic meteorological data along the expressway. The data collector is responsible for receiving the traffic meteorological data from each sensor unit and performing preliminary processing and conversion. The temporary data storage unit is responsible for temporarily storing data during the data transmission process. The data transmission unit is responsible for transmitting the processed data to the data processing and analysis module. The sensor unit transmits the traffic meteorological data collected in real time to the data collector. The data collector transmits the processed data to the temporary data storage unit for temporary storage. The data collector transmits the processed data to the data transmission unit.

3. A mobile highway traffic weather real-time monitoring and early warning system according to claim 1, characterized in that: The data processing and analysis module includes a data collection unit, a data preprocessing unit, a data analysis unit and a key information extraction unit. The data collection unit is responsible for acquiring traffic meteorological data and transmitting the data to the data storage and management module. The data preprocessing unit receives data from the data storage and management module, performs filtering, denoising, cleaning and formatting, and then transmits the processed data to the data storage and management module and the data analysis unit. The data analysis unit receives the preprocessed data and analyzes it to produce analysis results, which will be used for key information extraction and early warning judgment. The key information extraction unit receives the analysis results from the data analysis unit, extracts key information, and transmits it to the early warning judgment and release module.

4. A mobile highway traffic weather real-time monitoring and early warning system according to claim 3, characterized in that: The data analysis unit includes a statistical analysis subunit, an optimization algorithm processing subunit and an artificial intelligence subunit. The statistical analysis subunit is responsible for performing basic statistical analysis, the optimization algorithm processing subunit is responsible for applying a special algorithm to process data, and the artificial intelligence subunit is responsible for training models, making predictions and classifications.

5. A mobile highway traffic weather real-time monitoring and early warning system according to claim 4, characterized in that: The artificial intelligence subunit uses LSTM to train, test and reason on the processed data, including the following steps: Data preparation: Collect the characteristic data of traffic meteorological data related to warning, and divide the data set into training set, validation set and test set with the ratio of 70%, 15% and 15%; Model construction: Building a model using LSTM: Forget gate: f t =σ(W f ·[h t-1 ,x t ]+b f ) Among them, W f is the weight matrix of the forget gate, b f is the bias term, σ is the sigmoid function, [h t-1 ,x t ] means to set h t-1 and x t Concatenate into a vector; Input gate: The input gate is responsible for updating the cell state. The input gate consists of two parts: one is the sigmoid layer, which determines which information will be updated; the other is the tanh layer, which creates a new candidate value vector. The new candidate value vector is added to the cell state. Finally, the two information are multiplied to update the cell state. Sigmoid layer: i t = σ(W i · [h t-1 , x t + b i ); Tanh layer: Cell status update: Output gate: The output gate determines which part of the information based on the cell state is used for output, according to the current input tx t , the state of the hidden layer at the previous moment h t-1 And the latest cell state C t , through the interaction of sigmoid function and tanh function, the output h at the current moment is determined t ; Sigmoid layer: o t = σ(W o · [h t-1 , x t + b o ); Output hidden state: h t =o t *tanh(C t ); Training process: Forward propagation: For each time step of input, the RNN calculates the hidden state and output; Calculate loss: Use a loss function to measure the difference between the model prediction and the actual label; Back propagation: Calculate the gradient of loss with respect to model parameters through the time back propagation algorithm; Parameter update: Use Adam to update model parameters according to the gradient; Testing and Reasoning: The model performance is evaluated on the test set. During inference, the data to be classified into warning categories is input into the trained model. The model outputs the probability distribution of each warning category, and the warning category with the highest probability is taken as the warning result.

6. A mobile highway traffic weather real-time monitoring and early warning system according to claim 1, characterized in that: The data storage and management module includes a data storage unit, a data compression and encoding unit, a data management unit, a data backup unit, a data recovery unit and a security control unit. The data storage unit is responsible for the physical storage of data, the data compression and encoding unit is responsible for the compression, encoding and decoding of data, the data management unit is responsible for data management tasks, the data backup unit is responsible for performing database backup operations regularly or according to preset strategies, and when necessary, the data recovery unit restores data from the backup to the database or a designated location, the security control unit is responsible for implementing access control strategies and encrypting sensitive data, and after the data processing and analysis module completes the processing and analysis of the data, it passes the processing results and analysis result data to the data storage unit for storage, and before the data is stored, the data compression and encoding unit compresses and encodes the data received by the storage unit, the data management unit continuously monitors the data in the data storage unit, and when necessary, the data management unit triggers the data backup unit to perform a backup operation.

7. The mobile highway traffic weather real-time monitoring and early warning system according to claim 1 is characterized in that: The communication transmission module includes a data transmission unit, a communication interface unit, a communication channel monitoring unit, an automatic switching control unit, and a data encryption and verification unit. The data transmission unit is responsible for encapsulating, encoding and sending data, and receiving response data from the monitoring center or related terminals. The communication interface unit is responsible for providing interfaces with different communication modes. The communication channel monitoring unit is responsible for real-time monitoring of the status of the communication channel. When the main communication channel fails, the automatic switching control unit controls the data transmission unit to switch to the backup communication channel. The data encryption and verification unit is responsible for encrypting the transmitted data and performing data verification at the receiving end. The data processing and analysis module processes the processed data. and warning information are transmitted to the data transmission unit, the data transmission unit sends the encapsulated data to the designated communication channel through the communication interface unit, the communication interface unit performs physical data transmission with the communication channel, receives data from the communication channel or sends data to the communication channel, the communication channel monitoring unit monitors the status of the communication channel and reports the monitoring result to the communication interface unit and the automatic switching control unit, when the main communication channel fails, the automatic switching control unit controls the data transmission unit to switch to the backup communication channel according to the monitoring result, before data transmission, the data encryption and verification unit encrypts the data, and when the data is received, the data encryption and verification unit verifies the data.

8. The mobile highway traffic weather real-time monitoring and early warning system according to claim 1 is characterized in that: The early warning judgment and release module includes a data source unit, an early warning logic judgment unit, an early warning information release unit and a recording and tracking unit. The data source unit is responsible for collecting key information provided by the data processing and analysis module and passing it to the early warning logic judgment unit. The early warning logic judgment unit judges the processed data according to preset early warning rules and thresholds, determines the early warning level, and passes the result to the early warning information release unit. The early warning information release unit releases early warning information according to the early warning level and the preset release strategy. The recording and tracking unit is responsible for recording the detailed information of each early warning and providing a historical data query function.

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