Intelligent port comprehensive management system based on big data

Abstract

The invention discloses an intelligent port comprehensive management system based on big data, and relates to the technical field of port energy management, and the system comprises a data collection and integration module which is used for deploying a plurality of sensors in each key region of a port, and a data collection device which is used for collecting the data of the ship position, the cargo flow, the device state and the environmental condition in real time, and through real-time data collection and integration, management personnel can quickly know the operation condition of the port. The intelligent port comprehensive management system based on big data has the advantages of real-time data collection and integration, intelligent scheduling and operation optimization, and the system can quickly respond to port operation requirements and adjust resource configuration and operation strategies in real time, so that the waiting time of ships and cargoes is shortened, the loading and unloading operation and prediction analysis are optimized, and the management efficiency is improved. The resource utilization rate and the efficiency of the operation process are remarkably improved, and managers can make decisions more accurately according to the data analysis result, so that the operation cost is reduced, and the customer satisfaction is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of port energy management, and in particular to a smart port integrated management system based on big data. Background Art

[0002] With the continuous development of global trade, ports, as important hubs for the circulation of goods, are responsible for the increasing cargo throughput and ship transportation tasks. Traditional port management faces many challenges, such as low operational efficiency and difficulty in preventing safety hazards. The rapid development of big data technology has brought new opportunities for port management. Through the collection, storage, analysis and application of massive data, refined management and intelligent decision-making of port operations can be achieved.

[0003] At present, traditional port management systems face many challenges:

[0004] 1. As trade volume increases, ports need to handle more ships and cargoes. Traditional port management systems often have difficulty coping with such large-scale data and operational requirements, resulting in inefficiency and frequent delays.

[0005] 2. In terms of data management, existing systems often lack effective data collection, storage and analysis mechanisms. This results in the management being unable to obtain real-time and accurate data support, making it difficult to make precise decisions based on data. At the same time, data security and integrity are at risk during transmission and storage;

[0006] 3. Ports must not only ensure logistics safety and prevent accidents and crimes, but also protect data security and prevent information leakage. At the same time, they must comply with increasingly stringent international and regional regulatory standards.

[0007] Therefore, a smart port integrated management system based on big data is proposed to solve the above problems. Summary of the invention

[0008] The main purpose of the present invention is to provide a smart port integrated management system based on big data to solve the problems raised in the above background.

[0009] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a smart port integrated management system based on big data, including a data collection and integration module: deploying a variety of sensors and data acquisition equipment in key areas of the port to collect data on ship location, cargo flow, equipment status and environmental conditions in real time;

[0010] Data analysis module: Analyze the collected data to identify the arrival and departure times of ships, cargo flow efficiency and equipment maintenance cycles;

[0011] Data transmission module: used to safely and efficiently transmit the output results of the data analysis module to the data storage module, and ensure the consistency and integrity of the data during the transmission process;

[0012] Data storage module: uses a distributed database system to store and manage large amounts of data to ensure secure storage and access to data;

[0013] Intelligent scheduling module: used to automatically schedule resources and operations based on real-time data and historical data analysis results to reduce waiting time and operating costs;

[0014] Security and monitoring module: used to monitor the security status of the port in real time, and the system automatically triggers an alarm when abnormalities or potential risks are detected;

[0015] Interactive interface module: provides an interactive interface for operators and management to display dashboards, reports and real-time data.

[0016] The data collection and integration module includes:

[0017] Sensor Management Unit: responsible for configuring and maintaining temperature sensors, humidity sensors, GPS locators, and RFID tag readers, ensuring that all sensors work properly, and performing regular calibration and maintenance;

[0018] Data collection unit: collects data from sensors, automatic ship identification systems and cargo tracking systems in real time, collecting information about the location of the ship, the flow status of cargo, the working status of equipment and environmental parameters;

[0019] Data preprocessing unit: cleans and formats the collected raw data, removes noise data, fills in missing values ​​and unifies the data format.

[0020] The data analysis module includes:

[0021] Data Processing Unit: Use statistical methods and machine learning algorithms to conduct in-depth analysis of data to predict vessel arrival times and analyze patterns of cargo flows;

[0022] Event Identification Unit: Identify the specific arrival and departure times of ships, and the arrival time and location of important cargo;

[0023] Optimization Analysis Unit: Improvement and optimization analysis of maintenance cycles of equipment in port operations and operation processes.

[0024] The data transmission module comprises:

[0025] Encryption unit: Use SSL to encrypt data to ensure data is secure during transmission;

[0026] Compression unit: uses data compression technology to reduce data size and reduce the required transmission bandwidth;

[0027] Transmission control unit: controls the sending and receiving of data and optimizes the data transmission process.

[0028] The storage module comprises:

[0029] Database management unit: Use distributed database management system to store data, including data organization, indexing and storage, as well as data backup and recovery operations;

[0030] Data access unit: provides efficient data access interface and query operations to ensure that data can be retrieved and analyzed quickly;

[0031] Data Security Unit: Implement data access control, including fingerprint, voice, face and password access settings, to protect data from unauthorized access.

[0032] The intelligent scheduling module includes:

[0033] Resource scheduling unit: automatically dispatches port berths, loading and unloading equipment and personnel based on real-time and historical data analysis results;

[0034] Operation Optimization Unit: Calculate the shortest loading and unloading time through optimization algorithms, optimize the port's operation process, reduce the waiting time of ships and cargo, and improve the overall operation efficiency of the port;

[0035] Forecasting Analysis Unit: Cargo flow forecasting and vessel arrival forecasting using time series analysis.

[0036] The function expression of the optimization algorithm to calculate the shortest loading and unloading time is:

[0037]

[0038] The above expression has the following restrictions:

[0039] 1) Each vessel completes loading and unloading within a time window:

[0040]

[0041] 2) The use of machinery in any time window does not exceed the available quantity:

[0042]

[0043] 3) The use of personnel in any time window does not exceed the available number:

[0044]

[0045] Among them, (tij ) is the time required for loading and unloading of vessel (i) in time window (j), (c j ) is the number of machines available in time window (j), (m i ) is the number of machines required for loading and unloading of vessel (i), (w i ) is the number of personnel required to load and unload the vessel (i), (p j ) is the number of personnel available in time window (j), (N) is the total number of ships, and (T) is the available time window;

[0046] (x ij ) indicates that the vessel (i) is assigned to the time window (j) for loading and unloading. ij =1) indicates that the vessel (i) is loading and unloading in time window (j), (x ij =0) indicates that the vessel (i) does not perform loading or unloading operations in the time window (j).

[0047] The safety and monitoring module includes:

[0048] Monitoring unit: monitors the physical and network security status of the port in real time, monitoring video and sensor data;

[0049] Anomaly detection unit: Analyze monitoring data and use algorithms to promptly detect anomalies in equipment and systems;

[0050] Alarm system unit: When an abnormal or dangerous situation is detected, the alarm is automatically triggered to notify relevant personnel to take action.

[0051] The interactive interface module includes:

[0052] User interface unit: provides an intuitive and easy-to-use user interface to support the daily operation and monitoring needs of operators and management;

[0053] Data presentation unit: presents data and analysis results in the form of graphs, charts and reports to help users understand the data and make decisions;

[0054] Interaction Control Unit: Processes user input data queries and system configuration changes to ensure that the system responds promptly and accurately.

[0055] The input end of the data collection and integration module is connected to the input ends of various sensors and data acquisition devices, the output end of the data collection and integration module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the data transmission module, the output end of the data transmission module is connected to the input end of the storage module, the output end of the data transmission module is connected to the input end of the intelligent scheduling module, the input end of the interactive interface module is connected to the port integrated management system, the output end of the interactive interface is connected to the display screen, the input end of the safety and monitoring module is connected to the port integrated management system, and the output end of the safety and monitoring module is connected to the interactive interface module.

[0056] The present invention has the following beneficial effects:

[0057] 1. In the present invention, through real-time data collection and integration, intelligent scheduling and operation optimization, the system can quickly respond to port operation needs and adjust resource allocation and operation strategies in real time, which not only reduces the waiting time of ships and cargoes, but also significantly improves resource utilization and the efficiency of operation processes by optimizing loading and unloading operations and predictive analysis. Managers can make decisions more accurately based on data analysis results, thereby reducing operating costs and improving customer satisfaction.

[0058] 2. In the present invention, encryption and compression technologies are used to protect the security and integrity of data during transmission, and a distributed database management system is used to ensure the secure storage and efficient access of data. In addition, the real-time monitoring and anomaly detection functions of the security and monitoring module enhance the physical and network security of the port, timely discover and respond to potential risks, reduce the probability of accidents, and improve the stability and reliability of the entire system.

[0059] 3. In the present invention, an interactive interface module is provided to provide an intuitive and easy-to-use user interface to support the daily operation and monitoring needs of operators and management. At the same time, the complex data and analysis results are intuitively presented in the form of graphics, charts and reports through the data display unit, which not only improves the user experience, but also promotes the rapid exchange of information and the efficiency of decision-making, so that managers can make more effective strategies and operational decisions based on accurate and timely data. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a schematic diagram of the overall system architecture of a smart port integrated management system based on big data according to the present invention;

[0061] Figure 2 This is a schematic diagram of the architecture of a data storage module of a smart port integrated management system based on big data according to the present invention;

[0062] Figure 3This is a schematic diagram of the architecture of an intelligent scheduling module of a smart port integrated management system based on big data in the present invention;

[0063] Figure 4 This is a schematic diagram of the architecture of a security and monitoring module of a smart port integrated management system based on big data in the present invention. DETAILED DESCRIPTION

[0064] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0065] Embodiment 1

[0066] Please refer to Figure 1-2 As shown: A smart port integrated management system based on big data, including data collection and integration modules: deploying a variety of sensors and data acquisition equipment in key areas of the port to collect data on ship locations, cargo flows, equipment status and environmental conditions in real time. Real-time data collection and integration enable managers to quickly understand the port operation status, make decisions and adjustments in a timely manner, and improve operational efficiency and customer service quality;

[0067] Data analysis module: Analyze the collected data to identify the arrival and departure times of ships, cargo circulation efficiency and equipment maintenance cycles. Through data analysis, port managers can optimize resource scheduling, improve operating processes, increase operational efficiency and reduce costs;

[0068] Data transmission module: used to safely and efficiently transmit the output results of the data analysis module to the data storage module, and ensure the consistency and integrity of the data during the transmission process, ensure the safe transmission of data, prevent data leakage or tampering, support high-concurrency data transmission, and ensure the response speed and reliability of the system;

[0069] Data storage module: uses a distributed database system to store and manage large amounts of data to ensure secure storage and access to data, provides a stable and scalable data storage solution, and ensures long-term secure storage and efficient access to data;

[0070] Intelligent scheduling module: used to automatically schedule resources and operations based on real-time and historical data analysis results to reduce waiting time and operating costs, improve customer satisfaction, and make port operations more efficient and flexible;

[0071] Security and monitoring module: used to monitor the security status of the port in real time. When abnormalities or potential risks are detected, the system automatically triggers an alarm to enhance the security of the port, reduce potential risks, and ensure the stability and reliability of port operations;

[0072] Interactive interface module: provides an interactive interface for displaying dashboards, reports and real-time data for the convenience of operators and management, helping users to quickly understand data, make decisions, and improve work efficiency and decision quality.

[0073] The data collection and integration modules include:

[0074] Sensor management unit: responsible for configuring and maintaining temperature sensors, humidity sensors, GPS locators and RFID tag readers, ensuring that all sensors work properly, and performing regular calibration and maintenance to ensure the accuracy and reliability of sensor data and provide high-quality data to support system operation;

[0075] Data collection unit: collects data from sensors, automatic ship identification systems and cargo tracking systems in real time, collects information about the location of ships, the flow status of cargo, the working conditions of equipment and environmental parameters, provides comprehensive real-time data, provides a basis for subsequent analysis and decision-making, and promotes real-time monitoring and adjustment of port operations;

[0076] Data preprocessing unit: cleans and formats the collected raw data, removes noise data, fills in missing values ​​and unifies the data format to facilitate subsequent analysis and storage, improve data accuracy and availability, and provide high-quality data for subsequent data analysis and storage.

[0077] Data analysis modules include:

[0078] Data Processing Unit: Use statistical methods and machine learning algorithms to conduct in-depth data analysis, predict the arrival time of ships, and analyze the pattern of cargo flow, helping managers understand the data, make accurate predictions and decisions, and optimize port operation strategies;

[0079] Event Identification Unit: Identify the specific arrival and departure time of ships, the arrival time and location of important cargo, improve operational efficiency, reduce errors and delays, and optimize port operation processes;

[0080] Optimization and Analysis Unit: Improve and optimize the maintenance cycle of port operation equipment and operation process to reduce costs, improve efficiency and continuously improve the port operation model.

[0081] The data transmission module includes:

[0082] Encryption unit: Use SSL to encrypt data to ensure that data is secure during transmission, prevent data leakage and tampering, and ensure the confidentiality and integrity of data transmission;

[0083] Compression unit: Use data compression technology to reduce data size, reduce the required transmission bandwidth, increase transmission speed, save bandwidth resources, speed up data transmission, and improve system performance;

[0084] Transmission control unit: controls the sending and receiving of data, optimizes the data transmission process, ensures the reliability and integrity of data transmission, guarantees the stability of data transmission, avoids data loss and damage, and improves system reliability.

[0085] The storage module includes:

[0086] Database management unit: Use distributed database management system to store large amounts of data, including data organization, indexing and storage, as well as data backup and recovery operations, to ensure data security storage and efficient access, and provide flexibility and reliability in data management;

[0087] Data access unit: provides efficient data access interface and query operation to ensure that data can be quickly retrieved and analyzed, speed up data retrieval, and improve the efficiency of data analysis and decision-making;

[0088] Data Security Unit: Implement data access control, including fingerprint, voice, face and password access settings, protect data from unauthorized access, ensure data integrity and consistency, prevent unauthorized access, protect data privacy, and maintain system stability and security.

[0089] Embodiment 2

[0090] Please refer to Figure 3 Shown: A smart port integrated management system based on big data, including an intelligent scheduling module:

[0091] Resource Scheduling Unit: Automatically dispatches port berths, loading and unloading equipment and personnel based on real-time and historical data analysis results, optimizes resource utilization, reduces waiting time, and improves operational efficiency and customer satisfaction;

[0092] Operation Optimization Unit: Calculate the shortest loading and unloading time through optimization algorithms, optimize the port's operating procedures, reduce the waiting time of ships and cargo, improve the overall operating efficiency of the port, reduce loading and unloading time, optimize the operating process, reduce costs, and improve production efficiency;

[0093] Predictive Analysis Unit: Use time series analysis to predict cargo flow and vessel arrivals in order to better plan resources and scheduling, helping ports prepare resources in advance, optimize operational plans, and improve operational efficiency and flexibility.

[0094] The function expression of the optimization algorithm to calculate the shortest loading and unloading time is:

[0095]

[0096] The above expression has the following restrictions:

[0097] 1) Each vessel completes loading and unloading within a time window:

[0098]

[0099] 2) The use of machinery in any time window does not exceed the available quantity:

[0100]

[0101] 3) The use of personnel in any time window does not exceed the available number:

[0102]

[0103] Among them, (t ij ) is the time required for loading and unloading of vessel (i) in time window (j), (c j ) is the number of machines available in time window (j), (m i ) is the number of machines required for loading and unloading of vessel (i), (w i ) is the number of personnel required to load and unload the vessel (i), (p j ) is the number of personnel available in time window (j), (N) is the total number of ships, and (T) is the available time window;

[0104] (x ij ) indicates that the vessel (i) is assigned to the time window (j) for loading and unloading. ij =1) indicates that the vessel (i) is loading and unloading in time window (j), (x ij =0) indicates that the vessel (i) does not perform any loading or unloading operation in the time window (j). This model can be solved by using a linear programming software package such as CPLEX, Gurobi or other tools that support integer linear programming. The input of the model includes the demand for vessels, the resource constraints of the time windows, and the loading and unloading time of each vessel in different time windows. The output is the time window in which each vessel loads or unloads, as well as the total time of the loading and unloading operation.

[0105] Embodiment 3

[0106] Please refer to Figure 4 Shown: A smart port integrated management system based on big data, including security and monitoring modules:

[0107] Monitoring unit: real-time monitoring of the physical and network security status of the port, monitoring of video and sensor data, ensuring the safe operation of the port, improving port security, timely detection of problems, prevention of potential risks, and ensuring the stability of port operations;

[0108] Anomaly detection unit: Analyze monitoring data and use algorithms to promptly detect anomalies in equipment and systems, reduce the probability of accidents, and improve system stability and safety;

[0109] Alarm system unit: When abnormal or dangerous conditions are detected, the alarm is automatically triggered to notify relevant personnel to take action, respond to problems in a timely manner, reduce losses, and ensure the safety and stability of port operations.

[0110] The interactive interface module includes:

[0111] User interface unit: provides an intuitive and easy-to-use user interface to support the daily operation and monitoring needs of operators and management, improve user experience, and promote the efficiency of information exchange and decision-making;

[0112] Data display unit: presents data and analysis results in the form of graphs, charts and reports to help users understand data and make decisions, and provides intuitive data display to help users quickly understand the situation and make accurate decisions;

[0113] Interactive control unit: processes user input data queries and system configuration changes to ensure timely and accurate system responses, improve system flexibility and interactivity, meet user needs, and improve work efficiency.

[0114] The input end of the data collection and integration module is connected to the input ends of various sensors and data acquisition devices, the output end of the data collection and integration module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the data transmission module, the output end of the data transmission module is connected to the input end of the storage module, the output end of the data transmission module is connected to the input end of the intelligent scheduling module, the input end of the interactive interface module is connected to the port integrated management system, the output end of the interactive interface is connected to the display screen, the input end of the safety and monitoring module is connected to the port integrated management system, and the output end of the safety and monitoring module is connected to the interactive interface module. By connecting each module, it can ensure that data flows efficiently and securely between each module, and also supports efficient operation management and timely decision-making.

[0115] In the present invention, a smart port integrated management system based on big data is provided. When the system is in operation, it first collects data about the location of ships, cargo flow, equipment status and environmental conditions in real time by deploying a variety of sensors and data acquisition equipment in key areas of the port. These data are processed by a specially designed data collection and integration module to ensure the real-time update and accuracy of the information, and provide reliable input for subsequent data analysis. The data analysis module is the intelligent core of the system, which uses advanced statistical methods and machine learning algorithms to conduct in-depth analysis of the large amount of collected data. Through these analyses, the system can accurately predict the arrival and departure time of ships, analyze the efficiency of cargo circulation, and predict the maintenance cycle of equipment. These insights enable managers to conduct scientific resource scheduling and operation process improvements based on real-time data and historical trends, significantly improve the operating efficiency of the port and reduce operating costs. In order to ensure the safe transmission and storage of data, the data transmission module encrypts all outgoing data, and reduces the bandwidth demand during data transmission through compression technology to increase the transmission speed. The design of this module ensures the security and integrity of data during transmission and prevents data leakage and tampering. The data storage module adopts a distributed database system, which not only provides powerful data processing capabilities, but also ensures the secure storage and efficient access of data. The module supports the organization, indexing and backup of large-scale data, ensures the long-term security and stability of data, and provides a basis for continuous data analysis and intelligent decision-making. The intelligent scheduling module automatically adjusts resources and operations according to the results of data analysis, such as optimizing berth allocation, scheduling loading and unloading equipment and personnel, and adjusting cargo handling processes. This automated resource scheduling reduces the waiting time of ships and cargo, improves customer satisfaction, and enhances the overall operational flexibility of the port. The security and monitoring module monitors the physical and network security of the port in real time, uses advanced monitoring technology and anomaly detection algorithms, and promptly detects and responds to any anomalies or potential risks. The automatically triggered alarm system can quickly notify relevant personnel to take action, thereby reducing potential losses and ensuring the safety and stability of port operations. The interactive interface module provides operators and management with an intuitive and easy-to-use user interface to support daily operations and monitoring needs. Through graphics, charts and real-time data display, this module helps users quickly understand the current operating status and effectively supports the decision-making process, improving the quality of decision-making and work efficiency.

[0116] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A smart port integrated management system based on big data, characterized in that: The big data-based smart port integrated management system includes a data collection and integration module: deploying a variety of sensors and data acquisition equipment in key areas of the port to collect data on ship locations, cargo flows, equipment status and environmental conditions in real time; Data analysis module: Analyze the collected data to identify the arrival and departure times of ships, cargo flow efficiency and equipment maintenance cycles; Data transmission module: used to safely and efficiently transmit the output results of the data analysis module to the data storage module, and ensure the consistency and integrity of the data during the transmission process; Data storage module: uses a distributed database system to store and manage large amounts of data to ensure secure storage and access to data; Intelligent scheduling module: used to automatically schedule resources and operations based on real-time data and historical data analysis results, reducing waiting time and operating costs; Security and monitoring module: used to monitor the security status of the port in real time, and the system automatically triggers an alarm when abnormalities or potential risks are detected; Interactive interface module: provides an interactive interface for operators and management to display dashboards, reports and real-time data.

2. The system according to claim 1, characterized in that The data collection and integration module includes: Sensor Management Unit: responsible for configuring and maintaining temperature sensors, humidity sensors, GPS locators, and RFID tag readers, ensuring that all sensors work properly, and performing regular calibration and maintenance; Data collection unit: collects data from sensors, automatic ship identification systems and cargo tracking systems in real time, collecting information about the location of the ship, the flow status of cargo, the working status of equipment and environmental parameters; Data preprocessing unit: cleans and formats the collected raw data, removes noise data, fills in missing values ​​and unifies the data format.

3. The system according to claim 1, characterized in that The data analysis module includes: Data Processing Unit: Use statistical methods and machine learning algorithms to conduct in-depth analysis of data to predict vessel arrival times and analyze patterns of cargo flows; Event Identification Unit: Identify the specific arrival and departure times of ships, and the arrival time and location of important cargo; Optimization Analysis Unit: Improvement and optimization analysis of maintenance cycles of equipment in port operations and operation processes.

4. The system according to claim 1, characterized in that The data transmission module comprises: Encryption unit: Use SSL to encrypt data to ensure data is secure during transmission; Compression unit: uses data compression technology to reduce data size, reduce the required transmission bandwidth, and increase transmission speed; Transmission control unit: controls the sending and receiving of data and optimizes the data transmission process.

5. The system according to claim 1, characterized in that The storage module comprises: Database management unit: Use distributed database management system to store data, including data organization, indexing and storage, as well as data backup and recovery operations; Data access unit: provides efficient data access interface and query operations to ensure that data can be retrieved and analyzed quickly; Data Security Unit: Implement data access control, including fingerprint, voice, face and password access settings, to protect data from unauthorized access.

6. The system according to claim 1, characterized in that The intelligent scheduling module includes: Resource scheduling unit: automatically dispatches port berths, loading and unloading equipment and personnel based on real-time and historical data analysis results; Operation Optimization Unit: Calculate the shortest loading and unloading time through optimization algorithms, optimize the port's operation process, and reduce the waiting time for ships and cargo; Forecasting Analysis Unit: Cargo flow forecasting and vessel arrival forecasting using time series analysis.

7. The system according to claim 6, characterized in that The function expression of the optimization algorithm to calculate the shortest loading and unloading time is: The above expression has the following restrictions: 1) Each vessel completes loading and unloading within a time window: 2) The use of machinery in any time window does not exceed the available quantity: 3) The use of personnel in any time window does not exceed the available number: Among them, (t ij ) is the time required for loading and unloading of vessel (i) in time window (j), (c j ) is the number of machines available in time window (j), (m i ) is the number of machines required for loading and unloading of vessel (i), (w i ) is the number of personnel required to load and unload the vessel (i), (p j ) is the number of personnel available in time window (j), (N) is the total number of ships, and (T) is the available time window; (x ij ) indicates that the vessel (i) is assigned to the time window (j) for loading and unloading. ij =1) indicates that the vessel (i) is loading and unloading in time window (j), (x ij =0) indicates that the vessel (i) does not perform loading or unloading operations in the time window (j).

8. The system according to claim 1, characterized in that The safety and monitoring module includes: Monitoring unit: monitors the physical and network security status of the port in real time, monitoring video and sensor data; Anomaly detection unit: Analyze monitoring data and use algorithms to promptly detect anomalies in equipment and systems; Alarm system unit: When an abnormal or dangerous situation is detected, the alarm is automatically triggered to notify relevant personnel to take action.

9. The system according to claim 1, characterized in that The interactive interface module includes: User interface unit: provides an intuitive and easy-to-use user interface to support the daily operation and monitoring needs of operators and management; Data presentation unit: presents data and analysis results in the form of graphs, charts and reports to help users understand the data and make decisions; Interaction Control Unit: Processes user input data queries and system configuration changes to ensure that the system responds promptly and accurately.

10. The system according to claim 1, characterized in that The input end of the data collection and integration module is connected to the input ends of various sensors and data acquisition devices, the output end of the data collection and integration module is connected to the input end of the data analysis module, the output end of the data analysis module is connected to the input end of the data transmission module, the output end of the data transmission module is connected to the input end of the storage module, the output end of the data transmission module is connected to the input end of the intelligent scheduling module, the input end of the interactive interface module is connected to the port integrated management system, the output end of the interactive interface is connected to the display screen, the input end of the safety and monitoring module is connected to the port integrated management system, and the output end of the safety and monitoring module is connected to the interactive interface module.

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