Port full-process intelligent equipment management and control method and system

Abstract

The invention provides a port full-process intelligent equipment management and control method and system, and the method comprises the steps: receiving and analyzing equipment data from a plurality of heterogeneous communication protocols through a protocol adaptation gateway, and converting the equipment data into a standardized data format in a unified manner; the standardized data is cached in real time and persistently stored through a data processing and interaction module by adopting a structure of message queue cluster caching and time sequence database storage; the port equipment is automatically controlled through a full-flow linkage control module borne on the main and standby redundancy configuration core control unit based on a linkage control logic and a closed-loop algorithm of a plurality of preset operation conditions, and when the main core controller breaks down, the standby core controller automatically takes over a control task. According to the invention, comprehensive integration and collaborative operation of heterogeneous equipment are realized, a single-point fault risk is eliminated through a main and standby redundant architecture, and the system reliability, the port operation efficiency and the operation safety are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of port automation control technology, specifically to a method and system for intelligent equipment management and control throughout the entire port process. Background Technology

[0002] As a crucial link in the global logistics supply chain, port bulk cargo operations involve the coordinated operation of various equipment such as ship loaders, stacker-reclaimers, and belt conveyors. The level of automation and intelligent management directly determines operational efficiency, operating costs, and production safety, making it a core direction for port digital transformation. Currently, various control systems have been deployed in the field of port equipment management to achieve basic equipment management; however, existing technologies still have many unresolved issues and are difficult to adapt to the needs of fully intelligent operations.

[0003] First, the system suffers from severe fragmentation and insufficient coordination. Existing ports mostly employ a subsystem management model, with separate systems such as coal conveying control systems and port machinery intelligent systems operating independently. These different systems use heterogeneous communication protocols, creating information silos and hindering deep collaboration across systems and multiple devices. This results in manual operation of each system throughout the entire process, preventing one-click start-up and limiting automation efficiency. Second, equipment compatibility and scalability are poor. Existing control systems only support a limited number of communication protocols. Unified access and standardized management are difficult for heterogeneous equipment from different manufacturers and eras. Subsequent intelligent upgrades or additions require significant system modifications, leading to high expansion costs and long development cycles. Third, the reliability of core control units is insufficient. Most systems employ a single-point design for their core control units, lacking effective redundancy and backup mechanisms. Even with some systems achieving collaborative equipment control, the single-point failure risk of the core controller remains unresolved. A failure of the core controller or critical communication links will directly disrupt the entire operation, causing significant economic losses and safety risks. Finally, data processing and response capabilities are weak. Traditional single-node data processing architectures cannot handle the massive amounts of data, such as status, operations, and alarms, reported concurrently by hundreds of devices in a port. The data refresh cycle is long, making it difficult to meet the millisecond-level response requirements for remote, precise control and real-time interlocking control, thus affecting the accuracy and timeliness of management and control.

[0004] A search of patent documents revealed an invention patent with publication number CN119444016A, which discloses an intelligent control system for the entire process of bulk cargo port equipment. The system includes: an intelligent identification and monitoring subsystem, an information analysis and processing subsystem, a port planning and scheduling subsystem, and a safety monitoring and early warning subsystem. The intelligent identification and monitoring subsystem obtains multi-dimensional dynamic monitoring information during port operations. The information analysis and processing subsystem constructs a multi-level information processing mechanism and processes the multi-dimensional dynamic monitoring information to obtain multi-dimensional characteristic information during port operations. The port planning and scheduling subsystem sets port scheduling constraints based on the multi-dimensional characteristic information and formulates a port bulk cargo operation plan based on the constraints and multi-dimensional characteristic information. The safety monitoring and early warning subsystem visualizes the operation plan and provides safety warnings, thereby achieving intelligent monitoring and control of the entire bulk cargo port process. Patent 2 lacks heterogeneous device protocol adaptation capabilities, cannot be compatible with devices from multiple manufacturers, and has poor scalability; it lacks device-level interlocking control and core redundancy mechanisms, resulting in insufficient reliability; it has not optimized the real-time data processing architecture, making it difficult to support the dynamic management and control needs of devices, focusing only on planning and not covering the entire process of practical management and control of devices, thus having weak practicality.

[0005] In summary, given the problems with existing technologies, researching a method and system for intelligent equipment management and control throughout the entire port process has become a critical task that urgently needs to be addressed. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to provide a method and system for intelligent equipment management and control throughout the entire port process.

[0007] A method for intelligent equipment management and control throughout the entire port process, provided by the present invention, includes:

[0008] Step S1: The protocol adaptation gateway deployed in the port receives and parses device data from various heterogeneous communication protocols, and converts the device data into a standardized data format. Step S2: Through the data processing and interaction module, standardized data is sent to the message queue cluster for real-time caching and stored in the time-series database. Step S3: The full-process interlocking control module receives the operation instructions and automatically controls the port equipment based on the interlocking control logic of various preset operation conditions. The interlocking control logic uses real-time equipment data continuously obtained from the time-series database as status feedback. Based on the closed-loop algorithm of task parsing-equipment scheduling-instruction issuance-status feedback, dynamic control of the port equipment is realized. The full-process interlocking control module runs on a redundant core control unit consisting of a primary core controller and a backup core controller. The primary core controller and the backup core controller form a primary-backup redundancy configuration and are configured to automatically take over the control tasks of the full-process interlocking control module when the primary core controller fails.

[0009] Preferably, step S1 includes: receiving and parsing device data from various heterogeneous communication protocols through a protocol adaptation gateway, and converting the device data into standardized data in JSON format.

[0010] Preferably, when the port equipment constitutes a predetermined work process, the automated control of the port equipment in step S3 includes: When starting the equipment, the port equipment is started sequentially from the tail equipment to the head equipment in the predetermined operation process; When the equipment is shut down, the port equipment is shut down sequentially from the head equipment to the tail equipment in the predetermined operation process.

[0011] Preferably, the sequential startup includes a step-by-step confirmation startup mode. In the step-by-step confirmation startup mode, the system waits for and receives manual confirmation instructions from the operator before starting each or critical piece of equipment.

[0012] Preferably, the interlocking control logic in step S3 includes a graded fault handling strategy, classifying equipment faults into general faults, severe faults, and fatal faults, and executing different interlocking shutdown responses: For general faults, only stop or slow down the faulty equipment and issue an alarm, without triggering a chain shutdown of upstream equipment; For severe faults, shut down the faulty equipment and all its upstream equipment; In the event of a fatal malfunction, shut down the faulty device and all its upstream and downstream devices, and activate the safety alarm system.

[0013] Preferably, the step of having the backup core controller automatically take over the control task includes: Data consistency is maintained through periodic heartbeat detection and real-time status synchronization between the primary core controller and the backup core controller; After the primary core controller detects a heartbeat timeout, the backup core controller takes over the control task based on the synchronized status information, so as to achieve a switching time of no more than 1 second.

[0014] Preferably, the predetermined operation process is a ship loading operation process, and the automated control of port equipment in step S3 includes the following sub-steps: Step S3.1: Receive and parse the loading work order from the terminal operating system, and schedule and bind the head equipment, at least one intermediate equipment and tail equipment required for the loading operation process according to the loading work order. Step S3.2, Perform sequential startup: Start each bound device in sequence, starting from the tail device, passing through at least one intermediate device, and ending at the head device; Step S3.3: During the operation, monitor the equipment status based on real-time data obtained from the time series database and determine whether equipment failure has occurred; Step S3.4, execute shutdown control: If a equipment malfunction is detected, immediately stop the malfunctioning equipment and all equipment upstream of it in the material flow direction; If the operation is completed normally, then perform a sequential shutdown: stop each of the bound devices in the order of starting from the head device, passing through at least one intermediate device, and ending at the tail device. Step S3.5: After the operation is completed, summarize the actual operation data and send it back to the dock operating system.

[0015] Preferably, the method further includes step S0: The status of intelligent transformation of port equipment is determined by detecting whether the port equipment has preset automation interfaces or sensors. Depending on the status of the intelligent transformation, the control method adaptively switches between full-process automation mode, semi-process automation mode and original manual mode.

[0016] This invention also provides a port end-to-end intelligent equipment management and control system, comprising: The protocol adaptation gateway is used to receive and parse device data from various heterogeneous communication protocols and convert the device data into standardized data. The protocol adaptation gateway includes: an automatic protocol identification module for automatically identifying the communication protocol of the access device, an automatic connection protocol identification module, a data standardization module for converting the identified device data into a unified standardized data format, and a device access authentication module for performing security authentication on the access device. The data processing and interaction module connects to the protocol adaptation gateway to process standardized data. The data processing and interaction module uses a message queue cluster for real-time data caching and a time-series database for data storage. The full-process interlocking control module connects the data processing and interaction module and is used to automatically control port equipment based on the interlocking control logic of various preset operating conditions. The interlocking control logic uses real-time data obtained from the time series database as status feedback and is based on a closed-loop algorithm of task parsing, equipment scheduling, instruction issuance and status feedback. The redundant core control unit includes a primary core controller and a backup core controller. The full-process interlocking control module is carried on the primary core controller and the backup core controller, and the primary core controller and the backup core controller form a primary-backup redundancy configuration, so that when the primary core controller fails, the backup core controller automatically takes over the control task.

[0017] Preferably, it further includes a human-computer interaction layer, which includes: Unified control panel; 3D electronic map display module; and 3D digital twin visualization module; The human-machine interaction layer is configured to perform panoramic monitoring and interactive control of port equipment status and operation processes based on data provided by the data processing and interaction module.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. Based on the heterogeneous protocol parsing and standardized conversion function of the protocol adaptation gateway, this invention breaks down the information barriers formed by the differences in communication protocols between various subsystems of the port, realizes the integrated collaborative management and control of heterogeneous equipment such as ship loaders, stacker-reclaimers, and belt conveyors, supports "one-click start" for the entire process, and solves the problems of fragmentation and poor collaboration in traditional systems.

[0019] 2. This invention adopts a redundant core control unit consisting of a primary core controller and a backup core controller. Through periodic heartbeat detection, real-time status synchronization mechanism and fault switching speed of no more than 1 second, the risk of a single point failure of the core control unit causing the entire process to be interrupted is eliminated from the architecture, ensuring the continuous and stable operation of port operations.

[0020] 3. This invention constructs a closed-loop algorithm based on sequential start-stop control logic and hierarchical fault handling strategy, realizing sequential start-up of equipment from tail to head and sequential stop-up from head to tail in the operation process, as well as differentiated chain responses for general faults, serious faults, and fatal faults, reducing the risk of manual intervention and misoperation, and improving operational safety and the accuracy of automated control.

[0021] 4. This invention adopts a combined architecture of message queue cluster and time-series database to achieve concurrent caching and efficient storage of large-scale device data, reduce data refresh latency, support the rapid issuance of control commands and real-time feedback of device status, and meet the response requirements of remote precise operation and real-time interlocking control. Attached Figure Description

[0022] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1This is a schematic diagram of the overall structure of a port end-to-end intelligent equipment management and control system according to an embodiment of the present invention; Figure 2 This is a flowchart of the automated control process in an embodiment of the present invention; Figure 3 This is a block diagram of the protocol adaptation gateway function in the embodiments of this application. Detailed Implementation

[0023] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the scope of protection of the present invention.

[0024] This application provides a method and system for intelligent equipment management and control throughout the entire port process. The invention aims to address the problems of fragmentation in existing port equipment management and control systems, inconsistent equipment access communication protocols, low reliability of core control units, and insufficient data processing performance. The method includes: receiving and parsing device data from various heterogeneous communication protocols through a protocol adaptation gateway, and converting it into a standardized data format; using a data processing and interaction module, employing a message queue cluster caching and time-series database storage architecture, to perform real-time caching and persistent storage of the standardized data; and based on interlocking control logic and closed-loop algorithms for multiple preset operating conditions, automating port equipment control through a full-process interlocking control module carried on a primary / backup redundant configuration core control unit. When the primary core controller fails, the backup core controller automatically takes over the control tasks. This invention achieves comprehensive integration and collaborative operation of heterogeneous equipment, eliminates the risk of single-point failures through a primary / backup redundant architecture, and effectively improves system reliability, port operation efficiency, and operational safety.

[0025] Example 1: This embodiment provides a method for intelligent equipment management and control throughout the entire port process, combined with... Figure 2 and Figure 3 As shown, the method specifically includes the following steps: Step S1, Data Access and Standardization for Heterogeneous Devices: Through the protocol adaptation gateway 100 deployed in the port (corresponding to Figure 3 It receives raw data from heterogeneous devices such as bucket wheel excavator PLC, ship loader PLC, and sensors. The raw data follows various communication protocols, such as MQTT, Modbus-TCP, and S7.

[0026] The protocol adaptation gateway 100 processes the received raw data. The protocol adaptation gateway 100 includes: Protocol auto-identification module 110: used to automatically identify various industrial and IoT protocols such as MQTT, Modbus-TCP, and S7.

[0027] Device access authentication module 130: Prevents unauthorized devices from accessing the device through whitelist or certificate authentication.

[0028] Heterogeneous data standardization module 120: Extracts key status and control information from heterogeneous protocol messages and converts them into a standardized data format (such as JSON format), outputting standardized data to achieve plug-and-play functionality for heterogeneous devices.

[0029] Alternatively, the standardized data format can also be Protocol Buffers (Protobuf), a binary format that has a smaller data size and faster parsing speed.

[0030] Step S2, Data Stream Processing and Persistence: The standardized data output from step S1 is published to a message queue cluster (e.g., an Apache Kafka cluster) via the data processing and interaction module for real-time buffering and system decoupling. Subsequently, the data processing and interaction module consumes data from the message queue and persistently stores it in a time-series database (e.g., InfluxDB or Prometheus) to support real-time status monitoring and historical data analysis. This "message queue cluster and time-series database" architecture ensures that the system achieves the technical specifications of a device status data refresh cycle of no more than 50ms and a control command response time of no more than 100ms.

[0031] Step S3, Full-process automated interlocking control based on closed-loop logic: The control process begins with receiving and parsing work instructions from the Terminal Operating System (TOS) via a fully interlocked control module running on a redundant core control unit, based on "task parsing". Equipment scheduling Command issuance The closed-loop algorithm of "state feedback" executes automated control. The redundant core control unit consists of a primary core controller and a backup core controller in a primary-backup redundant configuration. The two maintain data consistency through periodic heartbeat detection and state synchronization. When the primary core controller fails, the backup core controller, after detecting a heartbeat timeout, automatically and seamlessly takes over the control task within a time of no more than 1 second based on the synchronized state information.

[0032] The end-to-end chain control module is based on "task parsing". Equipment scheduling Command issuance The closed-loop algorithm of "state feedback" operates. Specifically, state feedback involves continuously acquiring real-time data from the time-series database as the basis for control decisions, thereby achieving dynamic control.

[0033] Taking loading operations as an example, combined with Figure 2 The automated control process is as follows: Step S3.1: Receive and parse the loading work order from the Terminal Operating System (TOS), and automatically schedule and bind the equipment required for the operation process according to the work order. Among them, the bucket wheel excavator is the head equipment, the belt conveyor is the intermediate equipment, and the ship loader is the tail equipment.

[0034] Step S3.2: Perform a forward start-up, with the start-up sequence reversed from the material flow direction. First, start the tail end equipment (ship loader), and after confirming that it is operating normally, start the upstream intermediate equipment (belt conveyor) and the head end equipment (bucket wheel excavator) in sequence to prevent material accumulation.

[0035] Step S3.3, Real-time monitoring and fault diagnosis. During the operation, based on the real-time data provided in step S2, the operating status of each piece of equipment (such as motor current, belt speed, and material flow rate) is continuously monitored, and it is determined whether there is any equipment fault.

[0036] Step S3.4: Execute the interlocking shutdown logic. If a equipment failure is detected, immediately stop the equipment that failed and all equipment upstream of it in the material flow direction. Downstream equipment may be delayed to allow for emptying of residual material. If the operation is completed normally, execute a sequential shutdown, with the shutdown sequence consistent with the material flow direction. That is, first stop the head equipment (bucket wheel excavator), and after the material is emptied, stop the intermediate equipment (belt conveyor) and the tail equipment (ship loader) in sequence.

[0037] Step S3.5: After the operation is completed, summarize the actual operation data (such as the amount of work and the time consumed) and send it back to the Terminal Operating System (TOS).

[0038] Furthermore, the interlocking control logic also includes the following optional optimization strategies to improve operational flexibility and safety: Step-by-step confirmation startup mode: During the sequential startup process, step-by-step confirmation mode can be enabled. In this mode, the system will pause and wait for manual confirmation instructions from the operator before starting each or every critical device, which is suitable for high-risk or debugging scenarios.

[0039] Tiered fault handling strategy: Equipment faults are classified into general faults, severe faults, and fatal faults, and different cascading shutdown responses are executed accordingly. For general faults, only stop or slow down the faulty equipment and issue an alarm, without triggering a chain shutdown of upstream equipment; For severe faults, shut down the faulty equipment and all its upstream equipment; In the event of a fatal malfunction, shut down the faulty device and all its upstream and downstream devices, and activate the safety alarm system.

[0040] In addition, the method also includes adaptive mode switching: Before system initialization or operation begins, the port equipment's intelligent transformation status is determined by detecting whether it has preset automation interfaces or sensors. Based on this intelligent transformation status, the system automatically switches between full-process automation mode, semi-process automation mode (partial equipment automation), and original manual mode to adapt to different equipment conditions and operational requirements.

[0041] Example 2: The present invention also provides a port full-process intelligent equipment management and control system. The port full-process intelligent equipment management and control system can be implemented by executing the process steps of the port full-process intelligent equipment management and control method. That is, those skilled in the art can understand the port full-process intelligent equipment management and control method as the preferred implementation of the port full-process intelligent equipment management and control system.

[0042] Combination Figure 1 As shown, the system is deployed at the port operation site, forming a layered and decoupled intelligent management and control system.

[0043] The system's logical architecture and data flow are as follows: As the core control unit, the system communicates upwards with the Terminal Operating System (TOS) to receive work orders issued by the TOS and to send actual work data back to the TOS upon completion of the work. Downwards, it connects to various programmable logic controllers (PLCs) and sensors at the equipment layer via protocol adapter gateways to collect real-time equipment status data and issue control commands. Internally, data and control flows are sequentially transmitted between functional modules, forming a closed loop.

[0044] The system includes the following core functional modules, and their connections and functions are as follows: Protocol adaptation gateways, deployed at the network edge, are used to enable unified access for heterogeneous devices. For example... Figure 3 As shown, it specifically includes: Protocol Auto-Identification Module 110: used to automatically identify various industrial and IoT protocols used by the access device, such as MQTT, Modbus-TCP, S7, etc. Device Access Authentication Module 130: used to perform security authentication on devices attempting to access the network (e.g., based on whitelists or digital certificates) to prevent unauthorized access. Heterogeneous Data Standardization Module 120: a connection protocol auto-identification module used to extract key device data from the identified protocol messages and encapsulate it into a standardized data format (e.g., JSON format). This protocol adaptation gateway enables plug-and-play access to heterogeneous devices and outputs standardized data streams.

[0045] The data processing and interaction module, connected to the protocol adaptation gateway, is used for efficient processing and storage of massive amounts of device data. This module employs a hybrid architecture of message queue clusters and time-series databases: The message queue cluster (such as Apache Kafka) is used to receive and cache standardized data streams from the protocol adaptation gateway at high speed, achieving decoupling and peak / valley smoothing between modules within the system. The time-series database (such as InfluxDB or Prometheus) is used to consume data from the message queues and perform persistent storage. The time-series database optimizes the reading and writing of time-series data, providing a data foundation for real-time monitoring and historical analysis. This data processing and interaction module ensures that device status data is refreshed at a period of no more than 50ms and provides a unified data access service for upper-layer applications.

[0046] The end-to-end interlocking control module, connecting the data processing and interaction modules, is the intelligent control hub of the system. This module embeds pre-set interlocking control logic applicable to various operational conditions (such as loading and unloading). This interlocking control logic is based on "task parsing..." Equipment scheduling Command issuance The "status feedback" operates as a closed-loop algorithm. The status feedback originates from real-time equipment operating data continuously retrieved from a time-series database. Based on this feedback, the full-process interlocking control module can achieve dynamic and automated control according to the actual status of the equipment, such as performing operations like sequential start / stop and fault-based interlocking shutdown as described in Example 1.

[0047] The full-process interlocking control module simultaneously receives human interaction commands from the operator's human-machine interface (HMI), supporting operators to intervene in and adjust the work process.

[0048] A redundant core control unit is built upon which the full-process interlocking control module operates. This redundant core control unit employs a highly reliable hardware design and includes: a primary core controller, which performs all control calculations and command issuance tasks under normal conditions; and a backup core controller, which is in hot standby mode and forms a primary-backup redundancy configuration with the primary controller. The redundant core control unit incorporates a state synchronization mechanism, maintaining real-time state synchronization between the two through periodic heartbeat detection. When a failure is detected in the primary core controller (e.g., heartbeat timeout), the backup core controller can seamlessly take over all control tasks within no more than one second, based on the synchronized field state, thereby completely eliminating single points of failure and ensuring continuous operation.

[0049] The redundant core control unit sends control commands to the PLC device layer through the protocol adaptation gateway, enabling direct control of field equipment.

[0050] The human-machine interface (HMI) layer provides operators with an intuitive and efficient monitoring and operation interface. This HMI layer includes: a unified control panel: a software interface integrating all control functions; a 3D electronic map (GIS): used for locating and monitoring equipment against a real geographic background; and a 3D digital twin visualization interface: built based on game engine (such as UE5) technology, providing high-fidelity, real-time 3D visualization and interaction of port equipment, material flow, and operational processes. The HMI layer obtains real-time data from the data processing and interaction module, driving the updates of the aforementioned interfaces, enabling operators to fully perceive the operational status and make necessary interventions.

[0051] The human-machine interface (HMI) on the control panel interacts bidirectionally with the full-process interlocking control module, both receiving and displaying status data and issuing manual commands to adjust the control logic.

[0052] The closed-loop workflow of this system includes: equipment data, after being standardized by the protocol adaptation gateway, flows into the data processing and interaction module for buffering and storage. The end-to-end interlocking control module retrieves real-time data from the time-series database of this data processing and interaction module as status feedback, and, combined with TOS work orders, generates control commands through a closed-loop algorithm. The commands are then sent to the field equipment PLCs via the redundant core control unit and the protocol adaptation gateway. The status of the equipment after execution is collected again and fed back to the end-to-end interlocking control module through the above path, forming a continuous closed loop of "perception-decision-execution". The human-machine interface layer provides visual monitoring of this closed loop throughout. Any failure in any link (such as a control unit failure) is handled with redundancy or processing strategies to ensure the overall robustness of the system.

[0053] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0054] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A method for intelligent equipment management and control throughout the entire port process, characterized in that, include: Step S1: The protocol adaptation gateway deployed at the port receives and parses device data from various heterogeneous communication protocols, and converts the device data into a standardized data format. Step S2: The standardized data is sent to the message queue cluster for real-time caching through the data processing and interaction module, and then stored in the time-series database. Step S3: The full-process interlocking control module receives the operation instruction and performs automated control of the port equipment based on the preset interlocking control logic of multiple operation conditions. The interlocking control logic uses real-time equipment data continuously obtained from the time-series database as status feedback and realizes dynamic control of the port equipment based on a closed-loop algorithm of task parsing-equipment scheduling-instruction issuance-status feedback. The full-process interlocking control module operates on a redundant core control unit consisting of a primary core controller and a backup core controller. The primary core controller and the backup core controller form a primary-backup redundancy configuration and are configured so that when the primary core controller fails, the backup core controller automatically takes over the control tasks of the full-process interlocking control module.

2. The intelligent equipment management and control method for the entire port process according to claim 1, characterized in that, Step S1 includes: receiving and parsing device data from various heterogeneous communication protocols through the protocol adaptation gateway, and converting the device data into standardized data in JSON format.

3. The intelligent equipment management and control method for the entire port process according to claim 1, characterized in that, When the port equipment constitutes a predetermined operating process, the automated control of the port equipment in step S3 includes: When the equipment is started, the port equipment is started sequentially from the tail equipment to the head equipment in the predetermined operation process; When the equipment is shut down, the port equipment is shut down sequentially from the head equipment to the tail equipment in the predetermined work process.

4. The intelligent equipment management and control method for the entire port process according to claim 3, characterized in that, The sequential startup includes a step-by-step confirmation startup mode, in which the system waits for and receives manual confirmation instructions from the operator before starting each or critical piece of equipment.

5. The intelligent equipment management and control method for the entire port process according to claim 1, characterized in that, The interlocking control logic described in step S3 includes a graded fault handling strategy, which classifies equipment faults into general faults, severe faults, and fatal faults, and executes different interlocking shutdown responses: For general faults, only stop or slow down the faulty equipment and issue an alarm, without triggering a chain shutdown of upstream equipment; For severe faults, shut down the faulty equipment and all its upstream equipment; In the event of a fatal malfunction, shut down the faulty device and all its upstream and downstream devices, and activate the safety alarm system.

6. The intelligent equipment management and control method for the entire port process according to claim 1, characterized in that, The steps for the backup core controller to automatically take over the control tasks include: Data consistency is maintained through periodic heartbeat detection and real-time status synchronization between the primary core controller and the backup core controller; After the heartbeat timeout of the primary core controller is detected, the backup core controller takes over the control task based on the synchronized status information, so as to achieve a switching time of no more than 1 second.

7. The intelligent equipment management and control method for the entire port process according to claim 3, characterized in that, The predetermined operation process is a ship loading operation process. The automated control of port equipment in step S3 includes the following sub-steps: Step S3.1: Receive and parse the loading work order from the terminal operating system, and schedule and bind the head equipment, at least one intermediate equipment and tail equipment required for the loading operation process according to the loading work order; Step S3.2, Perform sequential startup: Start each bound device in sequence from the tail device, through the at least one intermediate device, to the head device; Step S3.3: During the operation, monitor the equipment status based on the real-time data obtained from the time-series database and determine whether an equipment failure has occurred; Step S3.4, execute shutdown control: If a equipment malfunction is detected, immediately stop the malfunctioning equipment and all equipment upstream of it in the material flow direction; If the operation is completed normally, then proceed with a sequential shutdown: stop each of the bound devices in the order of the head device, through at least one intermediate device, and to the tail device. Step S3.5: After the operation is completed, summarize the actual operation data and send it back to the dock operating system.

8. The intelligent equipment management and control method for the entire port process according to claim 1, characterized in that, It also includes step S0: The intelligent transformation status of the port equipment is determined by detecting whether the port equipment has preset automation interfaces or sensors. Based on the state of intelligent transformation, the method is controlled to adaptively switch between full-process automation mode, semi-process automation mode and original manual mode.

9. A port end-to-end intelligent equipment management and control system, employing the port end-to-end intelligent equipment management and control method according to any one of claims 1-8, characterized in that, include: A protocol adaptation gateway is used to receive and parse device data from various heterogeneous communication protocols and convert the device data into standardized data. The protocol adaptation gateway includes: a protocol automatic identification module for automatically identifying the communication protocol of the access device; a data standardization module connected to the protocol automatic identification module and used to convert the identified device data into a unified standardized data format; and a device access authentication module for performing security authentication on the access device. The data processing and interaction module is connected to the protocol adaptation gateway and is used to process the standardized data. The data processing and interaction module uses a message queue cluster for real-time data caching and a time-series database for data storage. The full-process interlocking control module is connected to the data processing and interaction module. It is used to automatically control port equipment based on the interlocking control logic of multiple preset working conditions. The interlocking control logic uses real-time data obtained from the time-series database as status feedback and is based on a closed-loop algorithm of task parsing, equipment scheduling, instruction issuance and status feedback. The redundant core control unit includes a primary core controller and a backup core controller. The full-process interlocking control module is carried on the primary core controller and the backup core controller, and the primary core controller and the backup core controller form a primary-backup redundancy configuration, so that when the primary core controller fails, the backup core controller automatically takes over the control task.

10. The port end-to-end intelligent equipment management and control system according to claim 9, characterized in that, It also includes a human-computer interaction layer, which includes: Unified control panel; 3D electronic map display module; and 3D digital twin visualization module; The human-machine interaction layer is configured to perform panoramic monitoring and interactive control of port equipment status and operation processes based on the data provided by the data processing and interaction module.

Images