Ship energy optimization regulation and control system based on Internet of Things edge gateway

Abstract

The invention discloses a ship energy optimization regulation and control system based on an internet of things edge gateway, which relates to the technical field of energy regulation and control, and comprises a client, project group state software, an edge gateway and a ship energy consumption system, the project group state software is respectively in communication connection with the client and the edge gateway; different ship energy consumption systems adopt the same or different communication protocols and are respectively in communication connection with the edge gateway; a user interacts with the system through a client, receives information fed back by the system, and controls and manages each ship energy consumption system; the project configuration software collects data of the ship energy consumption system through the edge gateway, and performs data management and data analysis on the data; wherein the project group state software generates a visual interface through data analysis, and feeds back the visual interface to a user through a client; and the project configuration software performs energy consumption optimization management on the ship energy consumption system through data management. According to the invention, a more efficient and more economical ship energy consumption management solution can be provided for shipping enterprises.

Description

Technical Field

[0001] The present invention relates to the technical field of energy regulation, and particularly to a ship energy optimization regulation system based on an Internet of Things edge gateway. Background Art

[0002] Ship energy consumption management is a system integration method specifically for optimizing the energy use efficiency of ships. It aims to achieve refined monitoring and management of ship energy consumption through data collection, analysis, optimization, and control technologies, so as to solve the problems existing in traditional energy consumption management, including the lack of real-time dynamic adjustment functions / means, single energy efficiency optimization means, etc. It can effectively help shipping enterprises reduce operating costs, improve environmental compliance, and accelerate the transformation to green shipping.

[0003] The limitations of existing ship energy consumption management systems in terms of real-time performance, cost, and technical complexity have restricted their wide application in the shipping industry. Most ship energy consumption management systems rely on cloud platforms for data storage and analysis. For example, a big data integration platform for intelligent ships disclosed in the patent document with the publication number CN113408941B uses cloud computing for ship energy consumption management. Although cloud platforms have powerful computing capabilities and storage capacities, during ship navigation, especially during ocean voyages, network connections are very likely to be unstable, resulting in data transmission delays or interruptions, and real-time performance cannot be guaranteed.

[0004] In addition, traditional ship energy consumption management systems support limited industrial protocols, and there are usually various types of devices on ships, such as main engines, auxiliary engines, boilers, power management systems, etc. These devices may use different communication protocols, such as Modbus, CAN bus, NMEA 2000, etc. To integrate the data of these devices, additional gateways or protocol conversion software usually need to be added. This not only increases the complexity and cost of the project, but also may introduce additional failure points and reduce the reliability of the system. Summary of the Invention

[0005] Aiming at the problems existing in the prior art, the present invention provides a ship energy optimization regulation system based on an Internet of Things edge gateway, which can provide a more efficient and economical ship energy consumption management solution for shipping enterprises.

[0006] The technical solution of the present invention is realized as follows:

[0007] A ship energy optimization regulation system based on an Internet of Things edge gateway includes a client, project configuration software, an edge gateway, and multiple ship energy consumption systems;

[0008] The project configuration software is respectively communicatively connected to the client and the edge gateway; different ship energy consumption systems adopt the same or different communication protocols and are respectively communicatively connected to the edge gateway;

[0009] The user interacts with the system through the client, receives the information fed back by the system, and controls and manages the ship energy consumption system through the client;

[0010] The project configuration software collects the data of the ship energy consumption system through the edge gateway, and performs data management and data analysis on the data; among them, the project configuration software generates a visual interface through data analysis and feeds it back to the user through the client; the project configuration software performs energy consumption optimization management on the ship energy consumption system through data management.

[0011] Project configuration software, such as Jmobile Studio, etc., can provide visual interface creation and data management, specifically including providing functions such as historical data storage, trend analysis, and alarm management, which is convenient for production monitoring and optimization. It supports a library of more than 2,000 modern-style controls, and the drag-and-drop page configuration helps users quickly and efficiently complete the development of visual interfaces.

[0012] The edge gateway can provide communication between automation devices, the cloud, and applications, aiming to achieve compatibility with industrial Internet of Things (IIoT) and Industry 4.0. It supports more than 200 communication protocols, including OPC UA, Modbus, MQTT, and mainstream PLC protocols such as Siemens, Mitsubishi, Omron, AB, Schneider, and GE. It supports running 8 communication protocols simultaneously, supports 10,000 data points, and helps users collect data of on-site devices to the greatest extent, facilitating the upgrade and transformation of the later production line. It supports servers such as Web / VNC / FTP / SSH / SNMP, and users can quickly complete remote monitoring and management of devices through the corresponding client tools.

[0013] This solution effectively solves the problem of low intelligence in traditional ship systems, performs real-time digital management on the energy consumption of each ship system, provides a complete set of energy consumption data analysis and visual monitoring functions for ships, and promotes the digital transformation of the ship industry.

[0014] As a further optimization of the above solution, the types of ship energy consumption systems include battery management systems, air-conditioning management systems, equipment control systems, ship propulsion systems, and lighting systems;

[0015] The edge gateway collects the battery output power from the battery management system, the air-conditioning power from the air-conditioning management system, the equipment load from the equipment control system, the navigation power from the propulsion system, and the lighting power from the lighting system;

[0016] The project configuration software calculates the energy consumption based on the collected data to obtain the overall energy consumption of the ship.

[0017] The battery management system monitors multiple objects; the objects include shore power electricity meters, system voltage, system current, system temperature, and the working status and remaining power of multiple battery packs, etc. Each battery pack includes several battery clusters, such as 6 battery clusters. The working status of the battery pack includes total voltage, total current, average voltage, average temperature, etc.

[0018] The air-conditioning management system is used to monitor the on / off status of multiple groups of fan coil units and multi-state fresh air system fans, the cabin temperature of the ship, the current status and power status of the current cooling pump, etc.

[0019] The equipment control system is used to monitor the status of the propulsion system from several AC distribution boards, including the status of seawater cooling pumps, freshwater cooling pumps, centrifugal fans, explosion-proof fans, fire pumps, centrifugal fan start items, and fire dampers.

[0020] The propulsion system is used to monitor the status of the left and right propulsion systems of the ship, including the output voltage, output current, module temperature of the frequency converter of the propulsion system, the current and power of the propulsion pump, and the system power, motor torque, and temperature of each phase winding of the propulsion system, etc.

[0021] The lighting system is used to monitor the lighting status and lighting power consumption in different areas of the ship, including lighting branches corresponding to different areas such as passenger cabins, inner walkways, and outer walkways.

[0022] On this basis, the main systems of the ship further include the whole-ship main systems such as the alarm system, power distribution system, and cabin detection, which communicate with the edge gateway through protocols such as Modbus-RTU, Modbus-TCP, and CAN to provide relevant data required for the real-time estimation value of the ship's endurance. Finally, the predicted endurance mileage is realized, and the endurance mileage prediction, charging reminder, etc. are carried out according to the remaining power and speed status.

[0023] As a further optimization of the above solution, the project configuration software also calculates and predicts the endurance mileage of the ship according to the overall energy consumption of the ship;

[0024] The project configuration software generates / updates the endurance mileage trend chart through the client according to the endurance mileage;

[0025] The project configuration software collects the charging data of the battery through the edge gateway and the battery management system, analyzes the charging amount of the charging data, and generates / updates the charging analysis chart through the client.

[0026] As a further optimization of the above solution, the energy consumption calculation further includes daily power consumption analysis and monthly power consumption analysis;

[0027] The daily power consumption analysis includes calculating the daily cumulative power consumption and the daily average power consumption for the last 7 days, the last 30 days, and the previous month respectively;

[0028] The monthly power consumption analysis calculates the single-month cumulative power consumption and the monthly average power consumption for each month on an annual basis;

[0029] The energy consumption calculation is also performed separately for each of the ship's energy-consuming systems, and the project configuration software generates / updates the energy consumption ratio diagrams for different ship energy-consuming systems through the client.

[0030] As a further optimization of the above solution, the charging amount analysis includes daily charging amount analysis and monthly charging amount analysis;

[0031] The daily charging amount analysis includes calculating the daily cumulative charging amount and the daily average charging amount for the last 7 days, the last 30 days, and the previous month respectively;

[0032] The monthly charging amount analysis calculates the single-month cumulative charging amount and the monthly average charging amount for each month on an annual basis;

[0033] The daily average charging electricity cost is also calculated based on the preset electricity price and the daily average charging amount, and the monthly average charging electricity cost is calculated based on the preset electricity price and the monthly average charging amount; the monthly average charging electricity cost of the current month is compared with that of the previous month to obtain the charging expenditure ratio;

[0034] The data shown in the charging analysis diagram includes the daily cumulative charging amount, the daily average charging amount, the single-month cumulative charging amount, the monthly average charging amount, the monthly average charging electricity cost, and the charging expenditure ratio.

[0035] As a further optimization of the above solution, the energy consumption optimization management includes switching different energy supply modes and providing automatic suggestions;

[0036] The energy supply modes include normal mode, energy-saving mode, charging mode, and typhoon avoidance mode;

[0037] The ship includes different multiple devices; different devices are started under different energy supply modes;

[0038] When the system starts and enters the normal mode, the start / stop of any of the devices is not restricted; when switching from any other energy supply mode to the normal mode, some of the devices are turned on one by one; specifically, generally speaking, the normal mode can operate the largest number of devices, and the other modes have relatively fewer. Therefore, when switching to the normal mode, some devices that have stopped running need to be restarted, that is, they need to be started one by one.

[0039] When the ship is in the normal mode and the energy-saving mode, the automatic suggestions provided by the system include: adjusting the lighting strategy according to the weather forecast; such as reminding to turn on / off the lighting according to the sunrise / sunset time in the weather forecast; or reminding to turn on / off the lighting according to the light intensity, such as reminding to turn on when it is lower than 80 LX and reminding to turn off when it is higher than 100 LX. Adjusting the number of operating air conditioners according to the number of passengers on the ship; such as according to the feedback of the number of passengers from the berthing assistance system, when the number of passengers is less than or equal to 1 / 2 of the rated passenger capacity (less than 200 people), an automatic reminder pops up to turn off 2 air-conditioning coils on each side of the upper deck passenger cabin and 2 air-conditioning coils at the head and tail of each side of the main deck passenger cabin. Setting the temperature of the already turned-on air-conditioning coils to 26 °C.

[0040] When the ship is in the energy-saving mode, the automatic suggestions provided by the system further include: adjusting the ship's speed to a preset value;

[0041] When the ship is in the charging mode, the automatic suggestions provided by the system include: stopping the lighting and air conditioning in the specified area;

[0042] When the ship is in the typhoon shelter mode, the automatic suggestions provided by the system include: stopping the operation of the specified equipment.

[0043] As a further optimization of the above solution, the visualization interface displays data through a variety of graphs and tables, including line charts, pie charts, histograms, bar charts, dashboards, historical status charts, Gantt charts, funnels, heat maps, scatter plots, multi-functional tables, and maps.

[0044] As a further optimization of the above solution, the communication protocols include PC UA, Modbus RTU, Modbus TCP, MQTT, BACnet, KNX, TCP, UDP, 485 / 232 / 422, NMEA0183.

[0045] In addition, it also includes PLC protocols of different manufacturers such as Siemens, AB, Schneider, ABB, Mitsubishi, Omron, Beckhoff, CODESYS, GE, Panasonic, Emerson, Delta, Hitachi, Bosch Rexroth, and Keyence.

[0046] As a further optimization of the above solution, the client is a Web client, and the user accesses the Web client through the browser of the terminal device and the Http protocol; the types of terminal devices include computers, tablets, and mobile phones.

[0047] Low-latency data interaction can be achieved through the Web client, helping users manage devices efficiently anytime, anywhere, optimize production processes, and achieve intelligent decision-making and operation and maintenance.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] A ship energy optimization and regulation system based on an Internet of Things edge gateway provided by the present invention provides a complete set of energy consumption data analysis and visualization monitoring functions for ships, can perform real-time data management on the energy consumption of each ship system, and control and manage energy consumption according to multiple modes. By automatically adjusting the on-board lighting and central air-conditioning systems, further energy-saving effects are achieved, effectively solving the problem of low intelligence in traditional ship systems and promoting the digital transformation of the ship industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is a schematic diagram of the system architecture provided by an embodiment of the present invention;

[0051] Figure 2 is a schematic diagram of energy optimization interaction provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] As Figures 1 to 2 shown, this embodiment provides a ship energy optimization and regulation system based on an Internet of Things edge gateway, including a client, project configuration software, an edge gateway, and multiple ship energy consumption systems;

[0054] In this embodiment, the client is a Web client, and the user accesses the Web client through the browser of the terminal device and the Http protocol; the types of terminal devices include computers, tablets, and mobile phones. Through the Web client, low-latency data interaction can be achieved, helping users manage devices efficiently, optimize production processes, and achieve intelligent decision-making and operation and maintenance anytime and anywhere.

[0055] In this embodiment, the project configuration software can provide visualization interface creation and data management, specifically including providing historical data storage, trend analysis, and alarm management functions for facilitating production monitoring and optimization. It supports a library of more than 2000 modern-style controls, and the drag-and-drop page configuration helps users quickly and efficiently complete the development of the visualization interface.

[0056] The edge gateway can provide communication between automated devices, the cloud, and applications, aiming to achieve compatibility with the Industrial Internet of Things (IIoT) and Industry 4.0. It supports over 200 communication protocols, including OPC UA, Modbus, MQTT, and mainstream PLC protocols of Siemens, Mitsubishi, Omron, AB, Schneider, GE, etc. It supports running 8 communication protocols simultaneously, supports 10,000 data points, and helps users collect data from on-site devices to the greatest extent, facilitating the later upgrade and transformation of production lines. It supports servers such as Web / VNC / FTP / SSH / SNMP. Users can quickly complete remote monitoring and management of devices through corresponding client tools.

[0057] The project configuration software communicates and connects with the client and the edge gateway respectively; different ship energy consumption systems use the same or different communication protocols and communicate and connect with the edge gateway respectively; in this embodiment, the communication protocols include PC UA, ModbusRTU, Modbus TCP, MQTT, BACnet, KNX, TCP, UDP, 485 / 232 / 422, NMEA0183. In addition, it also includes PLC protocols of different manufacturers such as Siemens, AB, Schneider, ABB, Mitsubishi, Omron, Beckhoff, CODESYS, GE, Panasonic, Emerson, Delta, Hitachi, Bosch Rexroth, Keyence, etc.

[0058] In this embodiment, the types of ship energy consumption systems include battery management systems, air conditioning management systems, equipment control systems, ship propulsion systems, and lighting systems;

[0059] The battery management system monitors multiple objects; the objects include shore power electricity meters, system voltage, system current, system temperature, and the working status and remaining power of multiple battery packs, etc. Each battery pack includes several battery clusters, such as 6 battery clusters. The working status of the battery pack includes total voltage, total current, average voltage, average temperature, etc.

[0060] The air conditioning management system is used to monitor the on / off of multiple groups of controlled fan coil units and multi-state fresh air system fans, the cabin temperature of the ship, the current status and power status of the current cooling pump, etc.

[0061] The equipment control system is used to monitor the propulsion system status from several AC distribution boards, including the status of seawater cooling pumps, freshwater cooling pumps, centrifugal fans, explosion-proof fans, fire pumps, centrifugal fan startup items, and fire dampers.

[0062] The propulsion system is used to monitor the status of the left and right propulsion systems of the ship, including the output voltage, output current, module temperature of the frequency converter of the propulsion system, the current and power of the propulsion pump, and the system power, motor torque, and temperature of each phase winding of the propulsion system, etc.

[0063] The lighting system is used to monitor the lighting status and lighting power consumption in different areas on the ship, including lighting branches corresponding to different areas such as passenger cabins, inner corridors, outer corridors, etc.

[0064] On this basis, the main ship systems also include the alarm system, power distribution system, cabin detection and other main ship systems, which communicate with the edge gateway through protocols such as Modbus-RTU, Modbus-TCP, CAN, etc., to provide relevant data required for the real-time estimation value of the ship's endurance. Finally, the predicted endurance mileage is realized, and the endurance mileage prediction, charging reminder, etc. are carried out according to the remaining power and speed status.

[0065] The user interacts with the system through the client, receives the information fed back by the system, and controls and manages the ship's energy-consuming system through the client;

[0066] The project configuration software collects data of the ship's energy-consuming system through the edge gateway, and conducts data management and data analysis on the data.

[0067] Specifically, the edge gateway collects the battery output power from the battery management system, the air-conditioning power from the air-conditioning management system, the equipment load from the equipment control system, the navigation power from the propulsion system, and the lighting power from the lighting system;

[0068] The project configuration software calculates the energy consumption according to the collected data to obtain the overall energy consumption of the ship.

[0069] Among them, the project configuration software generates a visual interface through data analysis and feeds it back to the user through the client; in this embodiment, the visual interface displays data through a variety of graphs and tables, including line charts, pie charts, histograms, bar charts, dashboards, historical status charts, Gantt charts, funnels, heat maps, scatter plots, multi-functional tables, maps.

[0070] In this embodiment, the project configuration software also calculates and predicts the endurance mileage of the ship according to the overall energy consumption of the ship;

[0071] The project configuration software generates / updates the endurance mileage trend chart through the client according to the endurance mileage;

[0072] The project configuration software collects the charging data of the battery through the edge gateway and the battery management system, analyzes the charging amount of the charging data, and generates / updates the charging analysis chart through the client.

[0073] In this embodiment, the energy consumption calculation also includes daily power consumption analysis and monthly power consumption analysis;

[0074] The daily power consumption analysis includes calculating the daily cumulative power consumption and daily average power consumption for the recent 7 days, recent 30 days, and last month respectively;

[0075] The monthly electricity consumption analysis calculates the cumulative monthly power consumption and the monthly average power consumption for each month on an annual basis;

[0076] The energy consumption calculation is also performed separately for each ship energy consumption system. The project configuration software generates / updates the energy consumption ratio diagrams of different ship energy consumption systems through the client.

[0077] In this embodiment, the charging amount analysis includes daily charging amount analysis and monthly charging amount analysis;

[0078] The daily charging amount analysis includes calculating the daily cumulative charging amount and the daily average charging amount for the recent 7 days, the recent 30 days, and the previous month respectively;

[0079] The monthly charging amount analysis calculates the single-month cumulative charging amount and the monthly average charging amount for each month on an annual basis;

[0080] It also calculates the daily average charging electricity fee based on the preset electricity price and the daily average charging amount, and calculates the monthly average charging electricity fee based on the preset electricity price and the monthly average charging amount; compares the monthly average charging electricity fee of the current month with that of the previous month to obtain the charging expenditure ratio;

[0081] The data shown in the charging analysis diagram includes the daily cumulative charging amount, the daily average charging amount, the single-month cumulative charging amount, the monthly average charging amount, the monthly average charging electricity fee, and the charging expenditure ratio.

[0082] The project configuration software performs energy consumption optimization management on the ship energy consumption system through data management.

[0083] In this embodiment, the energy consumption optimization management includes switching different energy supply modes and providing automatic suggestions;

[0084] The energy supply modes include normal mode, energy-saving mode, charging mode, and typhoon avoidance mode;

[0085] The ship includes multiple different devices; different devices are started under different energy supply modes;

[0086] When the system starts and enters the normal mode, the start / stop of any device is not restricted; when switching from any other energy supply mode to the normal mode, some devices are turned on one by one; specifically, generally speaking, the normal mode can operate the most devices, and the other modes have relatively fewer. Then, when switching to the normal mode, some devices that have stopped running need to be restarted, that is, they need to be started one by one.

[0087] When the ship is in the normal mode and the energy-saving mode, the automatic suggestions provided by the system include:

[0088] Adjust the lighting strategy according to the weather forecast; for example, remind to turn on / off the lighting according to the sunrise / sunset time in the weather forecast; or remind to turn on / off the lighting according to the light intensity, such as reminding to turn on when it is lower than 80 LX and reminding to turn off when it is higher than 100 LX, etc.

[0089] Adjust the number of operating air conditioners according to the number of passengers on the ship; for example, according to the feedback of the number of passengers from the berthing assistance system, when the number of passengers is less than or equal to 1 / 2 of the rated passenger capacity (less than 200 people), automatically pop up a reminder to turn off 2 air-conditioning coils on each side of the upper deck passenger cabin and 2 air-conditioning coils at the head and tail of each side of the main deck passenger cabin. Set the temperature of the already operating air-conditioning coils to 26°C.

[0090] Specifically, the system reminds to start or turn off the air conditioners, lighting equipment, etc. according to the operating status of different battery packs. For example, in this embodiment, there are 6 groups of power battery packs, namely battery pack No. 1 to battery pack No. 6.

[0091] If battery pack No. 1 or battery pack No. 2 is operating, remind to turn on the battery compartment air conditioner in battery compartment No. 1 (PS);

[0092] If neither battery pack No. 1 nor battery pack No. 2 is operating, and the temperature in battery compartment No. 1 (PS) is lower than 35 degrees, remind to turn off the battery compartment air conditioner and fan in battery compartment No. 1 (PS);

[0093] If battery pack No. 1 and / or battery pack No. 2 is operating and the temperature in battery compartment No. 1 (PS) is higher than 35 degrees, then remind to turn on the battery compartment air conditioner and fan in battery compartment No. 1 (PS);

[0094] If neither battery pack No. 1 nor battery pack No. 2 is operating, or the temperature in battery compartment No. 1 (PS) is lower than 35 degrees, remind to turn off the battery compartment air conditioner and fan in battery compartment No. 1 (PS).

[0095] If battery pack No. 3 is operating, remind to turn on the battery compartment air conditioner / fan in battery compartment No. 2 (PS); if battery pack No. 3 is not operating and the temperature in battery compartment No. 2 (PS) is lower than 35 degrees, remind to turn off the battery compartment air conditioner and fan in battery compartment No. 2 (PS).

[0096] If battery pack No. 4 or No. 5 is operating, remind to turn on the battery compartment air conditioner in battery compartment No. 2 (SB); if neither battery pack No. 4 nor No. 5 is operating and the temperature in battery compartment No. 2 (PS) is lower than 35 degrees, remind to turn off the battery compartment air conditioner and fan in battery compartment No. 2 (SB).

[0097] If the No. 6 power battery pack is in operation, remind to turn on the air conditioner for the No. 1 battery compartment (SB); if the No. 6 power battery pack is not in operation and the temperature of the No. 1 battery compartment (SB) is lower than 35 degrees, remind to turn off the air conditioner and the fan for the No. 1 battery compartment (SB).

[0098] When the ship is in the energy-saving mode, the automatic suggestions provided by the system also include: adjusting the ship's speed to a preset value;

[0099] When the ship is in the charging mode, the automatic suggestions provided by the system include: stopping the lighting and air conditioning in the specified area;

[0100] When the ship is in the typhoon avoidance mode, the automatic suggestions provided by the system include: stopping the operation of the specified equipment. For example, remind to turn off the lighting and air conditioning in the passenger cabin, remind to turn off the seawater cooling pump for the left / right propulsion, and remind to turn off the fan in the battery compartment, etc.

[0101] This solution conducts real-time data management on the energy consumption of each ship system, controls and manages the energy consumption according to multiple operating modes of the system, provides a complete set of energy consumption data analysis and visual monitoring functions for the ship, effectively solves the problem of low intelligence in traditional ship systems, and promotes the digital transformation of the ship industry.

[0102] Based on the disclosure and teachings of the above specification, those skilled in the art of the present invention can also make changes and modifications to the above embodiments. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and changes to the present invention should also fall within the protection scope of the claims of the present invention. In addition, although some specific terms are used in this specification, these terms are only for convenience of description and do not constitute any limitation to the present invention.

Claims

1. A ship energy optimization and control system based on the edge gateway of the Internet of Things, characterized in that: Includes client, project configuration software, edge gateway and multiple ship energy consumption systems; The project configuration software is respectively connected to the client and the edge gateway in communication; different ship energy consumption systems use the same or different communication protocols and are respectively connected to the edge gateway in communication; The user interacts with the system through the client, receives information fed back by the system, and controls and manages the ship energy consumption system through the client; The project configuration software collects data of the ship energy consumption system through the edge gateway, and performs data management and data analysis on the data; wherein, the project configuration software generates a visual interface through data analysis, and feeds back to the user through the client; the project configuration software performs energy consumption optimization management of the ship energy consumption system through data management.

2. According to claim 1, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: Types of ship energy consumption systems include battery management systems, air conditioning management systems, equipment control systems, ship propulsion systems, and lighting systems; The edge gateway collects battery output power from the battery management system, air conditioning power from the air conditioning management system, equipment load from the equipment control system, navigation power from the propulsion system, and lighting power from the lighting system; The project configuration software calculates energy consumption based on the collected data to obtain the overall energy consumption of the ship.

3. According to claim 2, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The project configuration software also calculates and predicts the cruising range of the ship based on the overall energy consumption of the ship; The project configuration software generates / updates a cruising range trend graph through the client according to the cruising range; The project configuration software collects battery charging data through the edge gateway and the battery management system, performs charging capacity analysis on the charging data, and generates / updates a charging analysis diagram through the client.

4. According to claim 2, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The energy consumption calculation also includes daily power consumption analysis and monthly power consumption analysis; The daily electricity consumption analysis includes calculating the daily cumulative electricity consumption and daily average electricity consumption in the past 7 days, the past 30 days and the last month respectively; The monthly electricity consumption analysis calculates the monthly cumulative electricity consumption and monthly average electricity consumption for each month on an annual basis; The energy consumption calculation is also performed separately for each of the ship energy consumption systems, and the project configuration software generates / updates energy consumption ratio diagrams of different ship energy consumption systems through the client.

5. According to claim 3, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The charge capacity analysis includes daily charge capacity analysis and monthly charge capacity analysis; The daily charge capacity analysis includes calculating the daily cumulative charge capacity and the daily average charge capacity in the past 7 days, the past 30 days and the last month respectively; The monthly charging capacity analysis calculates the monthly cumulative charging capacity and the monthly average charging capacity for each month on an annual basis; The daily average charging electricity fee is also calculated according to the preset electricity price and the daily average charging amount, and the monthly average charging electricity fee is calculated according to the preset electricity price and the monthly average charging amount; the monthly average charging electricity fee of the current month is compared with the monthly average charging electricity fee of the previous month to obtain the proportion of charging expenditure; The data displayed in the charging analysis chart include the daily cumulative charging amount, the daily average charging amount, the monthly cumulative charging amount, the monthly average charging amount, the monthly average charging electricity fee and the proportion of charging expenditure.

6. According to claim 1, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The energy consumption optimization management includes switching different energy supply modes and providing automatic suggestions; The energy supply mode includes a normal mode, an energy-saving mode, a charging mode and a typhoon avoidance mode; The ship includes a plurality of different devices; the devices started in different energy supply modes are different; When the system starts and enters the normal mode, the start / stop of any of the devices is not restricted; When switching from any other energy supply mode to the normal mode, some of the devices are turned on one by one; When the ship is in the normal mode and the energy-saving mode, the automatic suggestions provided by the system include: adjusting the lighting strategy according to the weather forecast; adjusting the number of air conditioners in operation according to the number of passengers on the ship; When the ship is in the energy-saving mode, the automatic suggestions provided by the system also include: adjusting the speed of the ship to a preset value; When the vessel is in the charging mode, the automatic suggestions provided by the system include: stopping lighting and air conditioning in designated areas; When the ship is in the typhoon avoidance mode, the automatic suggestions provided by the system include: stopping the operation of designated equipment.

7. According to claim 1, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The visualization interface displays data through a variety of graphs and tables, including curve graphs, pie charts, histograms, bar graphs, dashboards, historical status graphs, Gantt charts, funnels, heat maps, scatter plots, multi-function tables, and maps.

8. According to claim 1, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The communication protocols include PC UA, Modbus RTU, Modbus TCP, MQTT, BACnet, KNX, TCP, UDP, 485 / 232 / 422, and NMEA0183.

9. According to claim 1, a ship energy optimization and control system based on the edge gateway of the Internet of Things is characterized in that: The client is a Web client, and the user accesses the Web client through the browser of the terminal device and the Http protocol; the types of the terminal device include computers, tablets and mobile phones.

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