Cross-department road monitoring system based on block chain

Abstract

The invention discloses a cross-department road monitoring system based on a block chain, and aims to solve the problems of data islands, insufficient information sharing, potential safety hazards and the like of a traditional road monitoring system. The system consists of various sensors and cameras which are arranged on a road, and is used for acquiring traffic flow, environment monitoring data and event information in real time. The edge computing node is responsible for the primary processing of data, reduces the data uploading delay, and transmits effective data to the decentralized block chain network through an encryption protocol. After the system is adopted, the credibility and transparency of the data are realized, the emergency response speed is obviously improved, and the operation cost is reduced. In addition, a data analysis report generated by the system provides a scientific basis for traffic management decision making, and construction of an intelligent traffic system is facilitated. Through the innovation, an effective solution is provided for improving the efficiency and the safety of a road monitoring system.

Description

Technical Field

[0001] This invention belongs to the technical field of highway monitoring, specifically relating to a cross-departmental highway monitoring system based on blockchain. Background Technology

[0002] With the acceleration of urbanization and the surge in the number of vehicles, the construction of traffic management and highway monitoring systems has become an important part of urban governance. Traditional highway monitoring systems typically employ a centralized architecture, relying on local traffic management departments or related agencies for data collection, processing, and analysis. While this model can achieve traffic data management to a certain extent, it has significant shortcomings: Significant obstacles exist in information sharing and data integration among different departments (such as transportation, law enforcement, and urban planning), hindering efficient collaboration and the sharing of resources and information. This information silo phenomenon results in a lack of comprehensiveness in traffic management decisions and makes efficient cross-departmental coordination difficult. Summary of the Invention

[0003] The purpose of this invention is to provide a blockchain-based cross-departmental highway monitoring system to solve the problems mentioned in the background section.

[0004] To achieve the above objectives, the present invention provides the following technical solution: A blockchain-based cross-departmental highway monitoring system includes: Multiple sensors and cameras are installed at different locations on the highway to collect traffic flow, environmental information and event data in real time; Edge computing nodes, connected to the sensors and cameras, are used to perform preliminary processing and aggregation of the collected data; A decentralized blockchain network that employs a consensus mechanism to ensure the immutability of data and automatically executes data storage, access control, and event response through smart contracts; The user interface allows users from different departments to access and query traffic monitoring data stored in the blockchain network, as well as to monitor events and handle alarms. The data transmission module transmits the data collected by the sensors and cameras to the blockchain network in real time via an encryption protocol, and the data is encrypted during transmission to ensure data security and privacy protection. Preferably, the data stored in the blockchain network includes traffic flow data, environmental monitoring data, and event logs, and all data is verified by a hash algorithm before being uploaded to the chain to ensure data consistency, thereby realizing cross-departmental management functions for data sharing and collaborative work.

[0005] Preferably, the consensus mechanism is the Byzantine Fault Tolerance (BFT) algorithm to improve the data consistency and reliability of the blockchain network when it encounters node failures or malicious attacks.

[0006] Preferably, the smart contract includes data sharing rules, alarm rules, and accountability rules, wherein the data sharing rules are used to define the permissions for different departments to access monitoring data.

[0007] Preferably, the user interface includes a data dashboard module, an event management module, and a statistical analysis module to enable data visualization, event response, and analytical decision support.

[0008] Preferably, the data transmission module uses the MQTT protocol for data transmission to reduce data upload latency and optimize bandwidth usage.

[0009] Preferably, the edge computing node is equipped with a high-performance processor that can support data preprocessing algorithms, including data cleaning, anomaly detection, and data aggregation processing, to reduce redundancy of data stored on the chain.

[0010] Preferably, the sensor includes multiple types of sensors, specifically: traffic flow sensor, environmental weather sensor and video surveillance camera, enabling comprehensive monitoring of road traffic conditions and environmental safety.

[0011] Preferably, the number of data samples in the traffic data analysis report generated by the system each month is no less than 10,000, in order to ensure the accuracy and reliability of the analysis results.

[0012] Compared with existing technologies, this invention provides a blockchain-based cross-departmental highway monitoring system, which has the following advantages: Leveraging the immutability of blockchain technology, all traffic monitoring data cannot be modified once uploaded to the blockchain, ensuring the authenticity and integrity of the data. This feature enhances the trust of various departments in the monitoring data and helps improve public trust.

[0013] The system, through its decentralized architecture, breaks down information silos between different departments, promoting real-time data sharing and interaction. For example, traffic management departments, environmental monitoring agencies, and law enforcement agencies can quickly obtain relevant data, effectively coordinate actions, and improve overall response capabilities.

[0014] By integrating smart contracts, the system can automatically trigger alarms and notify relevant departments when it detects abnormal events (such as traffic accidents or speeding), significantly improving the system's response speed and processing efficiency to emergencies. This automation capability reduces human intervention and minimizes losses caused by delays.

[0015] By using edge computing nodes for data preprocessing, the amount of data uploaded to the blockchain is reduced, thus effectively saving network bandwidth and storage costs. Furthermore, the decentralized system architecture reduces reliance on expensive centralized IT infrastructure, lowering operating and maintenance costs.

[0016] Through real-time monitoring and data analysis, the system can generate detailed reports on traffic flow, environmental changes, and incident response, helping managers make informed decisions. This data-driven decision-making approach will more effectively promote public safety, traffic flow, and environmental protection.

[0017] The transparency and data storage capabilities of blockchain provide strong support for tracing liability in accidents. Relevant data can be effectively audited, clarifying responsibilities and providing a basis for subsequent dispute resolution and strengthening the implementation of accountability.

[0018] This system lays the technological foundation for future intelligent traffic management systems. By combining advanced technologies such as artificial intelligence and big data analytics, it can further optimize traffic condition monitoring and improve the efficiency of public transportation. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the user interface of the highway monitoring system of the present invention.

[0020] Figure 2 This is a schematic diagram of the statistical analysis module of the present invention.

[0021] Figure 3 This is a schematic diagram of the blockchain network of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] This invention provides, for example Figure 1-3 shown A blockchain-based cross-departmental highway monitoring system includes: Multiple sensors and cameras are installed at different locations on the highway to collect traffic flow, environmental information and event data in real time; Edge computing nodes, connected to the sensors and cameras, are used to perform preliminary processing and aggregation of the collected data; A decentralized blockchain network that employs a consensus mechanism to ensure the immutability of data and automatically executes data storage, access control, and event response through smart contracts; The user interface allows users from different departments to access and query traffic monitoring data stored in the blockchain network, as well as to monitor events and handle alarms. The data transmission module transmits the data collected by the sensors and cameras to the blockchain network in real time via an encryption protocol, and the data is encrypted during transmission to ensure data security and privacy protection. The data stored in the blockchain network includes traffic flow data, environmental monitoring data, and event logs. All data is verified by a hash algorithm before being uploaded to the chain to ensure data consistency, thereby enabling cross-departmental management functions for data sharing and collaborative work.

[0024] The consensus mechanism is the Byzantine Fault Tolerance (BFT) algorithm, designed to improve data consistency and reliability in blockchain networks when encountering node failures or malicious attacks. The overall structure of a BFT algorithm typically consists of the following parts: Nodes: Various types of nodes participating in the consensus process in a network, including: Regular nodes (also known as "worker nodes" or "participants"): responsible for handling requests and participating in consensus; Leader node (sometimes called "proposer"): proposes blocks or transactions and guides the consensus process; Message passing mechanism: Nodes communicate with each other through a reliable message passing mechanism (such as TCP / IP) to ensure that messages are delivered in a timely and accurate manner; Consensus protocol: mainly responsible for achieving consensus among nodes, including message verification, confirmation, and response mechanisms; State machine: Use a shared state machine, where each node can update its state, ensuring consistent operation; The specific steps are as follows: Proposal Phase: A specific node (the leader node) proposes a new block or transaction request and broadcasts it to other nodes. This proposal includes a complete state transition (such as a transaction change) and a digital signature of the proposal.

[0025] Voting Phase: The node receiving the proposal verifies its legitimacy and sends a confirmation message to all other nodes. If a node deems the proposal valid, it sends a "vote" message to other nodes, indicating its support for the proposal.

[0026] Confirmation Phase: Nodes continuously receive voting messages and count the votes for the proposal. When a proposal receives confirmation from more than 2 / 3 (n / 3 + 1) of the nodes, it is considered to have reached consensus, and the leader node writes the new block onto the chain. If a node does not receive enough votes, it will either wait or re-initiate a new proposal.

[0027] State update: All nodes that have reached a consensus update their state machines to reflect the latest state.

[0028] The smart contract includes data sharing rules, alarm rules, and accountability rules. The data sharing rules are used to define the permissions for different departments to access monitoring data. In this embodiment, the specific operation of the data sharing rules is described. First, during smart contract deployment, the roles and access permissions of each department are configured through the initialization function within the contract. Each department can update its access permissions through a specific function. When a department requests access to monitoring data, the contract first calls the permission verification function. After confirming the permission, the contract allows access to the data storage and returns the corresponding data. Specific operation of alarm rules Alarm parameters are set in the smart contract. When the sensor data exceeds the set limit, the alarm function is called. When the alarm is triggered, the system will send a notification to the relevant departments and store the alarm information on the blockchain for tracking. Specific Operation of the Responsibility Tracing Rules After an alarm incident is handled, the contract will record all participating departments and decision-makers, and provide a query function for all recorded events and responsibilities.

[0029] Through the above operational scheme, smart contracts can effectively manage data sharing permissions, handle alarm events, and trace accountability. Each operation is executed automatically through contract code, ensuring transparency and data immutability. The design logic of the specific operations ensures the system's security, real-time performance, and efficiency, providing strong support for collaborative work among various departments and enabling the successful implementation of blockchain technology in highway monitoring systems.

[0030] The user interface includes a data dashboard module, an event management module, and a statistical analysis module to enable data visualization, event response, and analytical decision support. In use, the user interface retrieves real-time data from the blockchain via API, including traffic flow, environmental monitoring indicators, etc. This data is displayed on the dashboard, and the frequency of data updates can be set (e.g., per second, per minute). Specific operations of the event management module Displays all recorded events, including alarm events and abnormal events recorded by the system. Users can sort by time or event type. When viewing an event, users can select the "Response" button to record the processing results and publish the processed information to the blockchain via API. The system allows users to track the event processing flow and see which departments participated in the response and the processing time, etc.

[0031] Specific operations of the statistical analysis module The system automatically calculates and displays key statistical data for different time periods: Total traffic flow Accident incidence statistics Trends in environmental indicators The map interface displays the distribution of event locations, allowing users to directly view monitoring data and event records for specific areas on the map. Users can generate reports within specific time periods, summarize key data, and output them in downloadable formats (such as PDF and Excel). Using charts, heatmaps, and other methods, users can intuitively understand the data and support scientific decision-making. For example, trend charts can show the correlation between accident rates and traffic flow to develop more effective traffic management strategies. Based on historical data analysis, predictive functions can be provided, such as predicting future traffic flow and accident rates, assisting relevant departments in developing proactive countermeasures.

[0032] The user interface effectively enables data visualization, event response, and analytical decision support. The coordinated collaboration between modules ensures users can efficiently access critical information, react promptly, and provide a scientific basis for future traffic management strategies, thereby enhancing the overall effectiveness of the highway monitoring system.

[0033] The data transmission module uses the MQTT protocol for data transmission to reduce data upload latency and optimize bandwidth usage.

[0034] Edge computing nodes are equipped with high-performance processors that support data preprocessing algorithms, including data cleaning, anomaly detection, and data aggregation, to reduce redundancy in on-chain stored data.

[0035] The sensors include several types, specifically: traffic flow sensors, environmental weather sensors, and video surveillance cameras, enabling comprehensive monitoring of road traffic conditions and environmental safety.

[0036] The system generates traffic data analysis reports with no fewer than 10,000 data samples each month to ensure the accuracy and reliability of the analysis results.

[0037] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A blockchain-based cross-departmental highway monitoring system, characterized in that, include: Multiple sensors and cameras are installed at different locations on the highway to collect traffic flow, environmental information and event data in real time; Edge computing nodes, connected to the sensors and cameras, are used to perform preliminary processing and aggregation of the collected data; A decentralized blockchain network that employs a consensus mechanism to ensure the immutability of data and automatically executes data storage, access control, and event response through smart contracts; The user interface allows users from different departments to access and query traffic monitoring data stored in the blockchain network, as well as to monitor events and handle alarms. The data transmission module transmits the data collected by the sensors and cameras to the blockchain network in real time via an encryption protocol, and the data is encrypted during transmission to ensure data security and privacy protection. The data stored in the blockchain network includes traffic flow data, environmental monitoring data, and event logs. All data is verified by a hash algorithm before being uploaded to the blockchain to ensure data consistency, thereby enabling cross-departmental management functions for data sharing and collaborative work.

2. The cross-departmental highway monitoring system based on blockchain according to claim 1, characterized in that: The consensus mechanism is a Byzantine fault-tolerant algorithm, which improves the data consistency and reliability of the blockchain network when it encounters node failures or malicious attacks.

3. The cross-departmental highway monitoring system based on blockchain according to claim 1, characterized in that: The smart contract includes data sharing rules, alarm rules, and accountability rules. The data sharing rules are used to define the permissions for different departments to access monitoring data.

4. The cross-departmental highway monitoring system based on blockchain according to claim 1, characterized in that: The user interface includes a data dashboard module, an event management module, and a statistical analysis module to enable data visualization, event response, and analytical decision support.

5. A blockchain-based cross-departmental highway monitoring system according to claim 1, characterized in that: The data transmission module uses the MQTT protocol for data transmission to reduce data upload latency and optimize bandwidth usage.

6. A cross-departmental highway monitoring system based on blockchain according to claim 1, characterized in that: The edge computing nodes are equipped with high-performance processors that can support data preprocessing algorithms, including data cleaning, anomaly detection, and data aggregation, to reduce redundancy of data stored on the blockchain.

7. A blockchain-based cross-departmental highway monitoring system according to claim 1, characterized in that: The sensors include multiple types, specifically: traffic flow sensors, environmental weather sensors, and video surveillance cameras, enabling comprehensive monitoring of road traffic conditions and environmental safety.

8. A blockchain-based cross-departmental highway monitoring system according to claim 1, characterized in that: The system generates traffic data analysis reports with no fewer than 10,000 data samples each month to ensure the accuracy and reliability of the analysis results.

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