A kind of switch reluctance multi-motor electric fishing boat of operation and intelligent control system of ship-shore remote monitoring

Abstract

The application relates to the technical field of ship remote operation and maintenance and intelligent monitoring, and discloses a ship-shore remote monitoring and intelligent control system for a switched reluctance multi-motor electric operation fishing boat, which comprises a ship-borne data acquisition module, a communication module, a shore-based monitoring platform, a remote strategy issuing module, a whole-ship controller, a ship-end data source module and a fishing boat module; the output end of the ship-end data source module is connected with the ship-borne data acquisition module, and the output end of the ship-borne data acquisition module is connected with the communication module; the system takes the ship-end data source module as a data source, and drives controllers, lithium iron phosphate battery management units, navigation and sailing state detection units, environment and operation state sensors and other units to send multi-dimensional original operation parameters such as the rotating speed of a propulsion motor, motor current, the state of charge of a battery, the temperature of the battery, the speed of the ship, the heading, the position and the operation mode into the ship-borne data acquisition module, which is simultaneously uploaded to the shore-based monitoring platform through the communication module.

Description

Technical Field

[0001] This invention relates to the field of remote ship maintenance and intelligent monitoring technology, specifically to a remote ship-to-shore monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel. Background Technology

[0002] With the rapid growth in the number of electric fishing vessels and the popularization of fleet operation and maintenance models, higher requirements have been placed on the comprehensive perception of vessel operation status, centralized intelligent analysis of shore-based platforms, and precise closed-loop distribution of remote control strategies. Most existing remote monitoring systems are limited to vessel position tracking or single device status uploading, lacking comprehensive monitoring capabilities for switched reluctance propulsion motors, lithium iron phosphate power batteries, multi-motor drives, and complex operating conditions.

[0003] For fishing vessels employing multiple switched reluctance propulsion motors and lithium iron phosphate battery packs, the inability to utilize long-term historical data for trend anomaly identification and to promptly issue refined control strategies such as energy saving, power limiting, return-to-base, or maintenance warnings remotely will hinder navigation safety and equipment maintenance efficiency under large-scale operational conditions. Furthermore, existing systems lack the capability for autonomous fault tolerance on the vessel side and unified strategy coordination with the shore-based system when dealing with complex scenarios such as multi-motor collaborative failures and communication link interruptions. They also typically support only a single communication method, making it difficult to meet the stable monitoring needs of mixed near-shore and offshore operational environments.

[0004] The aforementioned shortcomings not only limit the safe operation level of individual vessels, but also prevent fleet managers from shifting from passive maintenance of individual vessels to proactive operation and maintenance of the fleet. This is not conducive to achieving unified monitoring, unified early warning, unified strategy distribution, and unified operation and maintenance management of multiple fishing vessels, resulting in high operation and maintenance labor costs and limited overall operational efficiency and safety assurance capabilities. To address this, a remote monitoring and intelligent control system for ship-shore operation of a multi-motor electric fishing vessel with switched reluctance is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide a remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel, comprising a shipborne data acquisition module, a communication module, a shore-based monitoring platform, a remote strategy distribution module, a ship controller, a ship-end data source module, and a fishing vessel module. The output of the ship-side data source module is connected to the shipborne data acquisition module. The output of the shipborne data acquisition module is connected to the communication module. The communication module is connected to the shore-based monitoring platform and the remote policy distribution module. The output of the shore-based monitoring platform is connected to the remote policy distribution module. The output of the remote policy distribution module is connected to the ship controller. The shipborne data acquisition module is used to centrally collect the operating parameters of each data source; The communication module is used to upload the collected data to the shore-based monitoring platform; The shore-based monitoring platform is used to receive data from multiple vessels, perform analysis and diagnosis, and provide a display and operation interface for human-computer interaction. The remote policy distribution module is used to generate and distribute early warning or return-to-base control policies to the ship controller; The ship controller is used to receive and execute control strategies; The ship-end data source module is used to provide raw data on the operation of the fishing vessel.

[0007] Preferably, the shore-based monitoring platform includes a fault diagnosis and health assessment unit and a unified management module; The fault diagnosis and health assessment unit is used to perform trend analysis and anomaly identification on the uploaded data and generate diagnostic assessment results. The unified management module is used to perform unified monitoring, unified early warning, unified policy distribution, and unified operation and maintenance management of multiple fishing vessels in the fishing vessel module.

[0008] Preferably, the fishing vessel module includes vessel A, vessel B, vessel C, vessel D, and vessel E; Ships A, B, C, D, and E are used to perform maritime operations and are the objects to be monitored and controlled.

[0009] Preferably, the output of the fault diagnosis and health assessment unit is connected to the input of the remote policy distribution module, and the unified management module is communicatively connected to ships A, B, C, D and E respectively.

[0010] Preferably, the ship-side data source module includes a drive controller, a lithium iron phosphate battery management unit, a navigation and navigation status detection unit, an environmental and operational status sensor, an alarm and display unit, and a local storage unit. The drive controller is used to control the propulsion motor and provide feedback on the motor's operating parameters; The lithium iron phosphate battery management unit is used to manage the power battery and provide feedback on battery status parameters. The navigation and navigation status detection unit is used to detect and report the navigation status parameters of the ship. The environmental and operational status sensors are used to collect and feedback information on the operational environment and operational mode; The alarm and display unit is used to provide fault alarms and display operating status at the ship's end; The local storage unit is used to cache the collected data locally at the ship's end.

[0011] Preferably, the output terminals of the drive controller, lithium iron phosphate battery management unit, navigation and navigation status detection unit, environmental and operational status sensor, alarm and display unit, and local storage unit are all connected to the input terminal of the shipborne data acquisition module.

[0012] Preferably, the communication module adopts one or more of 4G communication, 5G communication, satellite communication or near-shore wireless communication.

[0013] Preferably, the power supply voltage of the lithium iron phosphate battery management unit is 46V to 155V.

[0014] Preferably, the remote policy distribution module is used to distribute at least one control policy among energy-saving mode, power-limiting mode, return-to-home mode, or maintenance early warning mode.

[0015] Compared with the prior art, the present invention, employing the above technical solution, has the following technical effects: I. This system uses the shipboard data source module as its data source. Various units, including the drive controller, lithium iron phosphate battery management unit, navigation and navigation status detection unit, and environmental and operational status sensors, send multi-dimensional raw operating parameters such as propulsion motor speed, motor current, battery state of charge, battery temperature, ship speed, heading, position, and operating mode to the shipboard data acquisition module. Simultaneously, these parameters are uploaded to the shore-based monitoring platform via the communication module. The fault diagnosis and health assessment unit in the shore-based monitoring platform combines 30 to 365 days of historical data to complete trend analysis, anomaly identification, and health assessment, generating energy-saving modes, power-limiting modes, return-to-base modes, or maintenance warnings. Control strategies, such as mode, are distributed to the ship's controller via the remote strategy distribution module. The ship's controller regulates the execution of strategies by the drive controller and the lithium iron phosphate battery management unit, and transmits the execution confirmation results and current operating status back to the shore-based monitoring platform via the communication module. If no abnormality is detected, online monitoring continues. If an abnormality is detected, the strategy generation and distribution process is restarted. This forms a complete closed loop of "collection - transmission - analysis - decision - distribution - execution - feedback", ensuring that every control strategy is traceable, verifiable, and closed-loop, avoiding the management blind spots of traditional open-loop monitoring modes that only monitor without action or provide feedback after action.

[0016] Second, the fault diagnosis and health assessment unit 15 in the shore-based monitoring platform performs trend analysis and anomaly identification based on long-term historical data of 30 to 365 days. It can detect progressive fault signs such as persistently high propulsion motor current and abnormal battery module temperature rise in advance, which significantly improves the advance warning and accuracy of fault warnings compared with the traditional threshold triggering method. The unified management module provides unified monitoring, unified early warning, unified strategy distribution and unified operation and maintenance management for multiple fishing vessels, including vessels A13, B14, C16, D17 and E18. Shore-based operation and maintenance personnel can simultaneously grasp the operating status and health level of all fishing vessels on a single platform. When an anomaly is detected, power limiting or maintenance warning strategies are automatically generated. When the remaining power is assessed to be insufficient to support the current operation, a return-to-base control strategy is automatically generated. There is no need to board each vessel for inspection. This realizes the transformation from passive maintenance of individual vessels to proactive operation and maintenance of the fleet, which significantly reduces operation and maintenance labor costs and improves the overall operational efficiency and safety level of the fleet.

[0017] Third, when the drive controller in the ship's data source module can simultaneously connect to multiple propulsion motors, the ship's data acquisition module collects the speed and current data of each propulsion motor and sends them to the shore-based monitoring platform. When the fault diagnosis and health assessment unit identifies that the current of a certain propulsion motor is continuously too high, the ship's controller can coordinate with the drive controller to reduce the power of the faulty motor or disconnect it, and link with the lithium iron phosphate battery management unit to redistribute the discharge strategy of each battery module to ensure the continuous power supply of the remaining normal motors. At the same time, the ship's data acquisition module synchronously caches the data to the local storage unit and realizes real-time fault alarms on the ship through the alarm and display unit. Even if the communication between the communication module and the shore-based monitoring platform is briefly interrupted, the ship's controller can still execute the fault tolerance strategy according to the preset rules in the local storage unit to achieve autonomous and safe operation on the ship. After the communication is restored, the execution result is sent back to the shore-based monitoring platform to complete the closed-loop confirmation, which fully adapts to the collaborative linkage requirements of the multi-motor propulsion system, the lithium iron phosphate battery energy management system and the ship's fault tolerance system.

[0018] IV. The communication module uploads multi-source data collected by the shipborne data acquisition module to the shore-based monitoring platform, and simultaneously receives control policies issued by the remote policy distribution module. The upload cycle design takes into account the high bandwidth and low latency characteristics of near-shore cellular networks and the low bandwidth and high latency characteristics of satellite communication. During near-shore operations, the communication module prioritizes the use of cellular networks to achieve high-frequency data upload and rapid policy distribution with a 5-second cycle, ensuring the timeliness of real-time monitoring. When the fishing vessel leaves the near-shore area and enters the satellite communication coverage area, the communication module automatically switches to the satellite communication link, completing data upload and policy feedback with a 10-second cycle. Although the transmission frequency is appropriately reduced, basic status monitoring and policy interaction can still be maintained. The shipborne data acquisition module synchronously caches data to the local storage unit to ensure that data is not lost during communication switching or brief interruptions. After communication is restored, the cached data can be retransmitted to the shore-based monitoring platform, enabling the system to operate stably in complex communication environments such as near-shore cellular networks, satellite communication, or a mixture of both, fully meeting the remote intelligent monitoring and control needs of different operational scenarios in near-shore and offshore areas. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a system overview diagram of the present invention; Figure 2 This is a diagram showing the connection system between the shipborne data acquisition module and various devices of the present invention; Figure 3 This is a data interaction diagram of the shore-based monitoring platform of the present invention; Figure 4 This is a flowchart illustrating the remote policy distribution and execution feedback process of the present invention. Figure 5 This is a schematic diagram illustrating the unified management of multiple ships according to the present invention.

[0021] Explanation of reference numerals in the attached diagram: 1. Shipborne data acquisition module; 2. Communication module; 3. Shore-based monitoring platform; 4. Remote policy distribution module; 5. Ship controller; 6. Ship-side data source module; 7. Drive controller; 8. Lithium iron phosphate battery management unit; 9. Navigation and navigation status detection unit; 10. Environmental and operational status sensor; 11. Alarm and display unit; 12. Local storage unit; 13. Ship A; 14. Ship B; 15. Fault diagnosis and health assessment unit; 16. Ship C; 17. Ship D; 18. Ship E; 19. Unified management module. Detailed Implementation

[0022] Example Please see Figure 1-5 This invention provides a technical solution: a remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel, comprising a shipborne data acquisition module 1, a communication module 2, a shore-based monitoring platform 3, a remote strategy distribution module 4, a vessel controller 5, a ship-end data source module 6, and a fishing vessel module; the output of the ship-end data source module 6 is connected to the shipborne data acquisition module 1, the output of the shipborne data acquisition module 1 is connected to the communication module 2, the communication module 2 is communicatively connected to both the shore-based monitoring platform 3 and the remote strategy distribution module 4, the output of the shore-based monitoring platform 3 is connected to the remote strategy distribution module 4, and the output of the remote strategy distribution module 4 is connected to the vessel controller 5; The shipborne data acquisition module 1 is used to centrally collect operating parameters from various data sources. The shipborne data acquisition module 1 collects key data on the propulsion system, battery system, and navigation status, and uploads them to the shore-based monitoring platform 3 via the communication module 2. After analysis, the shore-based monitoring platform 3 sends control strategies to the ship controller 5 through the remote strategy distribution module 4. The shipborne data acquisition module 1 collects key data such as propulsion motor speed, motor current, driver code, battery state of charge, battery temperature, ship speed, heading, position, and current operating mode at a 1-second cycle, and uploads them to the shore-based monitoring platform 3 at a 5-second or 10-second cycle. The shipborne data acquisition module 1 is connected to the drive controller 7 of multiple switched reluctance propulsion motors, the lithium iron phosphate battery management unit 8, and the navigation and navigation status detection unit 9, respectively. Communication module 2 is used to upload the collected data to shore-based monitoring platform 3. Communication module 2 adopts one or more of 4G communication, 5G communication, satellite communication or near-shore wireless communication. When the communication module 2 is operating near the shore, it will give priority to using near-shore wireless communication to reduce latency and cost. When sailing far away, it will automatically switch to satellite communication or 4G / 5G public network communication to ensure the continuity and reliability of the ship-shore communication link.

[0023] The shore-based monitoring platform 3 is used to receive data from multiple vessels, perform analysis and diagnosis, and provide a display and operation interface for human-machine interaction. The shore-based monitoring platform 3 performs trend analysis and health assessment on historical data from 30 to 365 days. When it detects that the current of a certain propulsion motor is continuously too high or the temperature rise of a certain battery module is abnormal, the remote strategy distribution module 4 issues a power limit or maintenance warning strategy to the corresponding vessel. When it is assessed that the remaining power is insufficient to support the current operation, the system automatically suggests returning to port and issues a return control strategy. After the whole ship controller 5 executes the strategy, it will send back the execution confirmation result and the current status. The remote policy distribution module 4 is used to generate and distribute early warning or return-to-base control policies to the ship controller 5. The remote policy distribution module 4 is used to distribute at least one control policy among energy-saving mode, power-limiting mode, return-to-base mode or maintenance early warning mode. The remote policy distribution module 4 feedback process includes the following steps: ship-side data collection, communication module 2 uploading to shore-based monitoring platform 3, shore-based monitoring platform 3 performing trend analysis and anomaly identification, generating energy-saving / power-limiting / return-to-base / early warning policies, remote policy distribution to ship controller 5, ship controller 5 executing policies and controlling various systems, and feedback of execution results and current status. If the shore-based monitoring platform 3 determines that there are no anomalies, the system continues to maintain online monitoring; if an anomaly is detected, the remote policy generation and distribution process begins.

[0024] The remote policy distribution module 4 receives the diagnostic and assessment results from the fault diagnosis and health assessment unit 15 of the shore-based monitoring platform 3, generates and distributes at least one of the following four control policies to the ship controller 5:

[0025] The ship controller 5 is used to receive and execute control strategies. As the highest execution unit on the ship, the ship controller 5 receives the control strategies issued by the remote strategy issuing module 4 and performs unified coordination and control of all systems on the ship. After receiving the energy-saving mode command, the ship controller 5 notifies the drive controller 7 to adjust the conduction angle and current amplitude of the switched reluctance propulsion motor so that the motor operates in the optimal efficiency range, and at the same time notifies the lithium iron phosphate battery management unit 8 to limit the depth of discharge. Upon receiving the power limiting mode command, the ship controller 5 limits the maximum current output of the drive controller 7, reduces the upper limit of the propulsion motor power, and prevents overload operation. After receiving the return mode command, the ship controller 5, in conjunction with the current position information provided by the navigation and navigation status detection unit 9, plans the optimal return route, controls the propulsion motor to travel at the return speed, and monitors the remaining battery power in real time to ensure a safe return to port; Upon receiving the maintenance early warning mode command, the ship controller 5 drives the alarm and display unit 11 to issue an audible and visual warning, prompting the crew to inspect and maintain the abnormal equipment; After execution, the ship controller 5 will send the execution confirmation result and the current status of each system back to the shipboard data acquisition module 1, which will then upload it to the shore-based monitoring platform 3 via the communication module 2 for the fault diagnosis and health assessment unit 15 to verify the effect and make subsequent decisions.

[0026] The ship-end data source module 6 is used to provide raw data on the operation of the fishing vessel; the ship-end data source module 6 includes a drive controller 7, a lithium iron phosphate battery management unit 8, a navigation and navigation status detection unit 9, an environmental and operational status sensor 10, an alarm and display unit 11, and a local storage unit 12. The drive controller 7 is used to control the propulsion motor and feed back the motor operating parameters. It controls the start, stop, speed and torque of each propulsion motor in real time, and continuously feeds back operating parameters such as motor speed, motor current and driver code. The lithium iron phosphate battery management unit 8 is used to manage the power battery and provide feedback on battery status parameters. The power supply voltage of the lithium iron phosphate battery management unit 8 is 46V to 155V. The propulsion system adopts a 46V to 155V power supply platform. The rated power of a single propulsion motor is preferably 4kW, 6kW, 8kW, 12kW or 24kW.

[0027] The navigation and navigation status detection unit 9 is used to detect and report the ship's navigation status parameters; it detects and reports the ship's speed, heading, latitude and longitude position and other navigation status parameters in real time. The environmental and operational status sensor 10 is used to collect and feedback information on the operational environment and operational mode; Alarm and display unit 11 is used for fault alarm and operation status display at the ship's end; Local storage unit 12 is used to cache the collected data locally at the ship's end to ensure that the data is not lost in the event of communication interruption.

[0028] The output terminals of the drive controller 7, lithium iron phosphate battery management unit 8, navigation and navigation status detection unit 9, environmental and operational status sensor 10, alarm and display unit 11, and local storage unit 12 are all connected to the input terminal of the shipborne data acquisition module 1. Through the drive controller 7, lithium iron phosphate battery management unit 8, navigation and navigation status detection unit 9, environmental and operational status sensor 10, alarm and display unit 11, and local storage unit 12, the ship can centrally collect and locally cache data such as propulsion motor speed, motor current, driver code, battery state of charge, battery temperature, ship speed, heading, position, and operational mode, and connect them to the input terminal of the shipborne data acquisition module 1 to achieve centralized data aggregation.

[0029] The shore-based monitoring platform 3 includes a fault diagnosis and health assessment unit 15 and a unified management module 19; the fault diagnosis and health assessment unit 15 is used to perform trend analysis and anomaly identification on the uploaded data and generate diagnostic assessment results; The unified management module 19 is used to monitor, warn, distribute strategies, and manage the operation of multiple fishing vessels in the fishing vessel module in a unified manner. The shore-based monitoring platform 3 can monitor, warn, distribute strategies, and manage the operation of vessels A13, B14, C16, D17, and E18 in a unified manner. By setting up the unified management module 19, the efficiency of fleet operation and maintenance can be improved and the information dispersion caused by the independent management of individual vessels can be reduced.

[0030] This embodiment uses five fishing vessels—A13, B14, C16, D17, and E18—as examples for illustration. The unified management module 19 performs unified monitoring, unified early warning, unified policy distribution, and unified operation and maintenance management for the five fishing vessels. Centralized management improves the overall operation and maintenance efficiency of the fleet and eliminates the problem of information dispersion caused by independent management of individual vessels. The fishing vessel module includes vessels A13, B14, C16, D17, and E18. The fault diagnosis and health assessment unit 15 is used to perform trend analysis, anomaly identification, and health assessment on the data uploaded by vessels A13, B14, C16, D17, and E18, and transmits the processing results to the remote policy distribution module 4. The unified management module 19 establishes communication connections with vessels A13, B14, C16, D17, and E18 respectively to achieve global situational awareness of the fleet.

[0031] Ships A13, B14, C16, D17, and E18 are used to perform offshore operations and are monitored and controlled. The output of the fault diagnosis and health assessment unit 15 is connected to the input of the remote strategy distribution module 4. The unified management module 19 is connected to ships A13, B14, C16, D17, and E18 respectively. The fault diagnosis and health assessment unit 15 performs trend analysis on the 30-365 days of historical data uploaded by each ship and establishes the normal change baseline of each parameter.

[0032] The currently uploaded real-time data is compared with the historical baseline. When the following abnormalities are detected, an early warning is triggered: the current of a certain propulsion motor is continuously too high (judged as abnormal motor load or a precursor to mechanical failure), the temperature rise of a certain battery module is abnormal (judged as a risk of battery thermal runaway), or the remaining power is insufficient to support the current operation mode (judged as insufficient range).

[0033] Based on the anomaly type, the fault diagnosis and health assessment unit 15 generates the corresponding diagnostic assessment result and transmits it to the remote policy distribution module 4, which then generates the corresponding control policy. If the fault diagnosis and health assessment unit 15 determines that the current data is not abnormal, the system continues to maintain online monitoring and does not trigger the policy distribution process.

[0034] Working principle or structural principle: The drive controller 7, lithium iron phosphate battery management unit 8, navigation and navigation status detection unit 9, environmental and operational status sensor 10, alarm and display unit 11, and local storage unit 12 in the ship-side data source module 6 respectively send the original operating parameters such as propulsion motor speed, motor current, driver code, battery state of charge, battery temperature, ship speed, heading, position, and operation mode to the ship-side data acquisition module 1; the ship-side data acquisition module 1 completes the centralized acquisition of the above multi-source data with a cycle of 1 second. On the one hand, the data is cached in the local storage unit 12 and the ship-side status is displayed and fault alarm is realized through the alarm and display unit 11. On the other hand, the acquired data is uploaded to the shore-based monitoring platform 3 through the communication module 2 with a cycle of 5 seconds or 10 seconds. The shore-based monitoring platform 3 receives uploaded data from multiple fishing vessels, including vessels A13, B14, C16, D17, and E18. The fault diagnosis and health assessment unit 15 combines this data with historical data from 30 to 365 days to perform trend analysis, anomaly identification, and health assessment. The unified management module 19 provides unified monitoring, early warning, policy distribution, and operation and maintenance management for multiple fishing vessels. When the fault diagnosis and health assessment unit 15 detects a persistently high current in a propulsion motor or an abnormal temperature rise in a battery module, it generates a power limiting or maintenance warning policy. When the remaining power is insufficient to support the current operation, it generates... The return-to-port control strategy is generated and sent to the corresponding fishing vessel's overall controller 5 via the remote strategy distribution module 4. The strategy types include energy-saving mode, power-limiting mode, return-to-port mode, or maintenance warning mode. The overall controller 5 executes the received control strategy, regulates the drive controller 7 and lithium iron phosphate battery management unit 8, and other related systems. The execution confirmation result and the current operating status are then transmitted back to the shore-based monitoring platform 3 via the communication module 2. If the shore-based monitoring platform 3 determines that there is no abnormality, the system continues to maintain online monitoring. If an abnormality is detected, the remote strategy generation and distribution process is entered again, thus forming a closed-loop remote intelligent monitoring and control system between the vessel and the shore.

[0035] This system uses ship-side data source module 6 as the data source, ship-borne data acquisition module 1 as the data aggregation core, communication module 2 as the ship-shore information bridge, shore-based monitoring platform 3 as the intelligent analysis and decision-making center, remote policy distribution module 4 as the policy transmission channel, and ship-side controller 5 as the ship-side execution terminal, forming a closed-loop remote monitoring and intelligent control system of "acquisition-transmission-analysis-decision-distribution-execution-feedback".

[0036] In summary, this system uses the shipboard data source module 6 as the data source. Various units, including the drive controller 7, lithium iron phosphate battery management unit 8, navigation and navigation status detection unit 9, and environmental and operational status sensors 10, send multi-dimensional raw operating parameters such as propulsion motor speed, motor current, battery state of charge, battery temperature, ship speed, heading, position, and operational mode to the shipboard data acquisition module 1. Simultaneously, these parameters are uploaded to the shore-based monitoring platform 3 via the communication module 2. The fault diagnosis and health assessment unit 15 in the shore-based monitoring platform 3 combines 30 to 365 days of historical data to perform trend analysis, anomaly identification, and health assessment, generating energy-saving modes, power-limiting modes, return-to-base modes, or maintenance predictions. Control strategies such as alarm mode are sent to the ship controller 5 via the remote strategy distribution module 4. The ship controller 5 regulates the execution of strategies by the drive controller 7 and the lithium iron phosphate battery management unit 8, and transmits the execution confirmation results and current operating status back to the shore-based monitoring platform 3 via the communication module 2. If no abnormality is detected, online monitoring continues. If an abnormality is detected, the strategy generation and distribution process is restarted. This forms a complete closed loop of "collection - transmission - analysis - decision - distribution - execution - feedback", ensuring that every control strategy is traceable, verifiable, and closed-loop, avoiding the management blind spots of "monitoring without action" or "no feedback after action" in the traditional open-loop monitoring mode.

[0037] The fault diagnosis and health assessment unit 15 in the shore-based monitoring platform 3 performs trend analysis and anomaly identification based on long-term historical data ranging from 30 to 365 days. This allows for early detection of progressive fault signs such as persistently high propulsion motor current and abnormal battery module temperature rise, significantly improving the lead time and accuracy of fault warnings compared to traditional threshold triggering methods. The unified management module 19 provides unified monitoring, early warning, policy distribution, and operation and maintenance management for multiple fishing vessels, including vessels A13, B14, C16, D17, and E18. Shore-based maintenance personnel can simultaneously monitor the operating status and health level of all fishing vessels on a single platform. When an anomaly is detected, power limiting or maintenance warning policies are automatically generated. When the remaining power is assessed to be insufficient to support the current operation, a return-to-base control policy is automatically generated. This eliminates the need for individual vessel inspections, realizing a shift from passive maintenance of individual vessels to proactive fleet operation and maintenance. This significantly reduces maintenance labor costs and improves the overall operational efficiency and safety level of the fleet.

[0038] When the drive controller 7 in the shipboard data source module 6 can simultaneously connect to multiple propulsion motors, the shipboard data acquisition module 1 collects the speed and current data of each propulsion motor and sends them to the shore-based monitoring platform 3. When the fault diagnosis and health assessment unit 15 identifies that the current of a certain propulsion motor is continuously too high, the shipboard controller 5 can coordinate with the drive controller 7 to reduce the power of the faulty motor or disconnect it, and link with the lithium iron phosphate battery management unit 8 to redistribute the discharge strategy of each battery module to ensure the continuous power supply of the remaining normal motors. At the same time, the shipboard data acquisition module 1 synchronously caches the data to the local storage unit 12 and realizes the shipboard real-time fault alarm through the alarm and display unit 11. Even when the communication between the communication module 2 and the shore-based monitoring platform 3 is briefly interrupted, the shipboard controller 5 can still execute the fault tolerance strategy according to the preset rules in the local storage unit 12 to realize the shipboard autonomous and safe operation. After the communication is restored, the execution result is sent back to the shore-based monitoring platform 3 to complete the closed-loop confirmation, which fully adapts to the collaborative linkage requirements of the multi-motor propulsion system, the lithium iron phosphate battery energy management system and the shipboard fault tolerance system.

[0039] Communication module 2 uploads multi-source data collected by shipborne data acquisition module 1 to shore-based monitoring platform 3, and simultaneously receives control policies issued by remote policy issuance module 4. This upload cycle design takes into account the high bandwidth and low latency characteristics of near-shore cellular networks and the low bandwidth and high latency characteristics of satellite communication. During near-shore operations, communication module 2 prioritizes the use of cellular networks to achieve high-frequency data upload and rapid policy issuance with a 5-second cycle, ensuring the timeliness of real-time monitoring. When the fishing vessel leaves the near-shore area and enters the satellite communication coverage area, communication module 2 automatically switches to the satellite communication link, completing data upload and policy feedback with a 10-second cycle. Although the transmission frequency is appropriately reduced, basic status monitoring and policy interaction can still be maintained. Shipborne data acquisition module 1 synchronously caches data to local storage unit 12 to ensure that data is not lost during communication switching or brief interruptions. After communication is restored, the cached data can be re-transmitted to shore-based monitoring platform 3, enabling the system to operate stably in complex communication environments such as near-shore cellular networks, satellite communication, or a mixture of both, fully meeting the remote intelligent monitoring and control needs of different operational scenarios in near-shore and offshore areas.

[0040] Those skilled in the art will understand that the features described in the various embodiments and / or claims of the present invention can be combined or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention can be combined or combined in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or combinations fall within the scope of the present invention.

Claims

1. A remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel, characterized in that, It includes a shipborne data acquisition module (1), a communication module (2), a shore-based monitoring platform (3), a remote strategy distribution module (4), a ship controller (5), a ship-end data source module (6), and a fishing vessel module; The output of the ship-side data source module (6) is connected to the ship-borne data acquisition module (1), the output of the ship-borne data acquisition module (1) is connected to the communication module (2), the communication module (2) is connected to the shore-based monitoring platform (3) and the remote policy distribution module (4) respectively, the output of the shore-based monitoring platform (3) is connected to the remote policy distribution module (4), and the output of the remote policy distribution module (4) is connected to the ship controller (5). The shipborne data acquisition module (1) is used to centrally collect the operating parameters of each data source; The communication module (2) is used to upload the collected data to the shore-based monitoring platform (3). The shore-based monitoring platform (3) is used to receive data from multiple ships, perform analysis and diagnosis, and provide a display and operation interface for human-computer interaction. The remote strategy distribution module (4) is used to generate and distribute early warning or return control strategies to the ship controller (5); The ship controller (5) is used to receive and execute control strategies; The ship-end data source module (6) is used to provide raw data on the operation of the fishing vessel.

2. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 1, characterized in that, The shore-based monitoring platform (3) includes a fault diagnosis and health assessment unit (15) and a unified management module (19). The fault diagnosis and health assessment unit (15) is used to perform trend analysis and anomaly identification on the uploaded data and generate diagnostic assessment results. The unified management module (19) is used to perform unified monitoring, unified early warning, unified strategy distribution and unified operation and maintenance management of multiple fishing vessels in the fishing vessel module.

3. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 2, characterized in that, The fishing vessel module includes vessel A (13), vessel B (14), vessel C (16), vessel D (17) and vessel E (18). Ships A (13), B (14), C (16), D (17), and E (18) are used to perform maritime operations and are monitored and controlled.

4. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 3, characterized in that, The output of the fault diagnosis and health assessment unit (15) is connected to the input of the remote policy distribution module (4), and the unified management module (19) is connected to the communication of ship A (13), ship B (14), ship C (16), ship D (17) and ship E (18).

5. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 1, characterized in that, The shipboard data source module (6) includes a drive controller (7), a lithium iron phosphate battery management unit (8), a navigation and navigation status detection unit (9), an environmental and operational status sensor (10), an alarm and display unit (11), and a local storage unit (12). The drive controller (7) is used to control the propulsion motor and feed back the motor operating parameters; The lithium iron phosphate battery management unit (8) is used to manage the power battery and feed back battery status parameters; The navigation and navigation status detection unit (9) is used to detect and feed back the navigation status parameters of the ship; The environmental and operational status sensor (10) is used to collect and feedback information on the operational environment and operational mode; The alarm and display unit (11) is used to perform fault alarms and display operating status at the ship's end; The local storage unit (12) is used to cache the collected data locally at the ship's end.

6. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 5, characterized in that, The output terminals of the drive controller (7), lithium iron phosphate battery management unit (8), navigation and navigation status detection unit (9), environmental and operational status sensor (10), alarm and display unit (11) and local storage unit (12) are all connected to the input terminal of the shipborne data acquisition module (1).

7. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 1, characterized in that, The communication module (2) adopts one or more of 4G communication, 5G communication, satellite communication or near-shore wireless communication.

8. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 6, characterized in that, The power supply voltage of the lithium iron phosphate battery management unit (8) is 46V to 155V.

9. The remote monitoring and intelligent control system for a switched reluctance multi-motor electric fishing vessel according to claim 1, characterized in that, The remote policy distribution module (4) is used to distribute at least one control policy among energy-saving mode, power-limiting mode, return mode or maintenance early warning mode.

Images