Intelligent energy management method and system for ship

Abstract

The invention discloses a ship intelligent energy management method and system, and relates to the technical field of ship energy management, and the method comprises the steps: collecting operation data and a navigation condition signal, and transmitting the operation data and the navigation condition signal to an energy management controller, dividing ship operation states according to the navigation working condition signals, and constructing an equipment operation priority rule in combination with energy consumption requirements of different operation states; and selecting each energy consumption device according to a device operation priority rule, calculating a target energy supply value of each energy consumption device according to the power consumption load data, distributing the output power data, generating an energy supply instruction of each energy consumption device, and sending the energy supply instruction to an energy consumption device control unit to realize intelligent energy coordination under the driving of an operation state. According to the method, the problems of inaccurate state identification, rough priority division, unreasonable energy distribution and the like in traditional ship energy management are solved, and the operation efficiency and controllability of a ship energy system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of ship energy management, and in particular to an intelligent ship energy management method and system. Background Art

[0002] Modern ships are usually equipped with a variety of power sources and energy-consuming equipment, including main engines, auxiliary engines, propulsion motors, battery packs, and various auxiliary equipment, forming a typical multi-source and multi-load energy system. During the navigation process of a ship, there are significant differences in energy demand under different operating conditions. For example, when operating at a port, auxiliary equipment is the main energy source, and the propulsion system has higher energy supply requirements during the departure phase, while the navigation stability equipment needs to be kept running continuously during cruising. At present, ship energy management mainly adopts experience-based fixed energy supply strategies or simple threshold control methods. This method is difficult to adapt to the complex and changeable navigation environment, and often leads to problems such as unreasonable energy distribution, frequent equipment start-up and stop, and low system energy efficiency.

[0003] The traditional ship energy management method has the following prominent problems: first, there is a lack of accurate identification and classification of the ship's operating status, and it is impossible to formulate a targeted energy allocation strategy; second, the energy supply priority division between equipment is too rough, and the energy consumption characteristics of different navigation stages are not fully considered; third, the energy allocation decision lacks foresight, and load forecasting and dynamic response characteristics are not taken into consideration; finally, a strict constraint system is not established in the energy allocation process, making it difficult to ensure the reliability and economy of the energy supply plan. These problems seriously restrict the operating efficiency and reliability of the ship's energy system.

[0004] In view of the above problems, a ship intelligent energy management method and system are proposed. By accurately identifying the ship's operating status, establishing differentiated equipment priority rules, and combining load forecasting and multi-constraint optimization, intelligent coordinated control of the ship's energy system is realized, which is of great significance to improving the ship's operating efficiency and reliability. Summary of the invention

[0005] In view of the problems of inaccurate operation status identification, rough equipment priority division, lack of foresight in energy allocation and imperfect energy supply constraint system in existing ship energy management systems, the present invention is proposed.

[0006] Therefore, the problem to be solved by the present invention is how to establish an intelligent ship energy management solution through accurate identification of operating status, construction of differentiated priority rules, forward-looking load forecasting and optimization of multiple constraints to improve the operating efficiency and reliability of the ship energy system.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, an embodiment of the present invention provides a method for intelligent energy management of a ship, which includes:

[0009] Collect the operation data and navigation condition signals of the ship's power system, and transmit the operation data and navigation condition signals to the energy management controller, where the operation data includes output power data and power consumption load data;

[0010] Divide the ship's operation state according to the navigation condition signals, and construct a device operation priority rule in combination with the energy consumption requirements of different operation states;

[0011] Select each energy-consuming device according to the device operation priority rule, and calculate the target energy supply value of each energy-consuming device according to the power consumption load data;

[0012] Based on the target energy supply value, allocate the output power data to generate an energy supply instruction for each energy-consuming device, and send the energy supply instruction to the energy-consuming device control unit to achieve intelligent energy coordination driven by the operation state.

[0013] As a preferred solution of the method for intelligent energy management of the ship according to the present invention, wherein: the method for generating the energy supply instruction is as follows:

[0014] Read the target energy supply value of each energy-consuming device in the target energy supply value through the energy management controller, and obtain the total active power of the output power data;

[0015] When the sum of the target energy supply values of all devices is less than or equal to the total active power, the actual allocated power of each energy-consuming device is directly equal to the target energy supply value;

[0016] When the sum of the target energy supply values of all devices is greater than the total active power, power allocation is carried out in descending order of device priority, giving priority to ensuring that high-priority devices obtain the target energy supply value, and the remaining power is allocated to other devices in the order of priority;

[0017] Generate an energy supply instruction for each energy-consuming device based on the actually allocated power obtained by allocation, where the energy supply instruction includes a device start-stop control instruction, a device power setting instruction, and a device operation mode instruction;

[0018] Send the energy supply instruction to the control unit of the corresponding energy-consuming device through the CAN bus, and adjust the power supply device of the corresponding energy-consuming device according to the instruction parameters;

[0019] Real-time monitor the actual power consumption of each energy-consuming device according to a preset sampling period to complete intelligent energy coordination driven by the operation state.

[0020] As a preferred solution of the ship intelligent energy management method described in the present invention, it includes: selecting each energy-consuming device according to the device operation priority rule, and calculating the target energy supply value of each energy-consuming device according to the power consumption load data, including:

[0021] Read the device operation priority rule through the energy management controller, and extract the device start-stop sequence and load distribution ratio under the current ship operation state;

[0022] According to the device start-stop sequence, select each energy-consuming device in descending order of priority to form a set of devices to be supplied with energy;

[0023] Obtain the power consumption load data, and extract the historical load curve and current load value of each energy-consuming device;

[0024] According to the historical load curve and combined with the current ship operation state, calculate the basic energy demand of each energy-consuming device;

[0025] Obtain the total available energy of the ship at present, and compare the total available energy with the sum of the basic energy demands, where the total available energy is calculated based on the main engine output power data, auxiliary engine output power data, and the available capacity of the battery pack;

[0026] Based on the comparison result, smooth the target energy supply value, and by setting the maximum change rate limit, ensure that the change of the target energy supply value does not exceed the adjustment rate that the device can bear, and form the final target energy supply value.

[0027] As a preferred solution of the ship intelligent energy management method described in the present invention, it includes: comparing the total available energy with the sum of the basic energy demands, including:

[0028] When the total available energy is greater than or equal to the sum of the basic energy demands, directly use the basic energy demand of each device as the target energy supply value;

[0029] When the total available energy is less than the sum of the basic energy demands, then according to the load distribution ratio in the device operation priority rule, allocate energy to each energy-consuming device in descending order of priority until the total available energy is allocated, and use the allocation result as the target energy supply value of each device.

[0030] As a preferred solution of the ship intelligent energy management method described in the present invention, it includes: dividing the ship operation state according to the navigation condition signal, and constructing a device operation priority rule in combination with the energy consumption requirements of different operation states, including:

[0031] The navigation condition signals are analyzed in multiple dimensions by an energy management controller, and the ship operation state is divided into a berthing mode, a departure mode, and a cruising mode;

[0032] For the ship operation state, an energy consumption characteristic curve is established, and an equipment operation priority rule is constructed by the energy management controller in combination with the energy consumption requirements of the ship operation state.

[0033] As a preferred solution of the ship intelligent energy management method of the present invention, wherein: dividing the ship operation state into a berthing mode, a departure mode, and a cruising mode includes:

[0034] When the ship navigation speed is less than the first threshold and the geographical position coordinate data shows that the ship is located in the port area, the current ship operation state is the berthing mode;

[0035] When the ship navigation speed is greater than the first threshold and less than the second threshold, and the ship attitude data shows that the longitudinal inclination angle is in dynamic change, the current ship operation state is the departure mode;

[0036] When the ship navigation speed is greater than the second threshold and the ship attitude data shows that the longitudinal inclination angle remains unchanged, the current ship operation state is the cruising mode.

[0037] As a preferred solution of the ship intelligent energy management method of the present invention, wherein: collecting the operation data of the ship power system and the navigation condition signals includes:

[0038] Collecting the operation data and the navigation condition signals through a ship distributed data acquisition system, wherein the distributed data acquisition system includes a plurality of sensor nodes installed at key parts of the ship;

[0039] Transmitting the operation data and the navigation condition signals to the energy management controller through the ship communication network, wherein the energy management controller is provided with a data interface module for receiving and preprocessing the operation data and the navigation condition signals.

[0040] In a second aspect, an embodiment of the present invention provides a ship intelligent energy management system, which includes:

[0041] An acquisition module for collecting the operation data of the ship power system and the navigation condition signals, and transmitting the operation data and the navigation condition signals to the energy management controller, wherein the operation data includes output power data and power consumption load data;

[0042] A division module for dividing the ship operation state according to the navigation condition signals, and constructing an equipment operation priority rule in combination with the energy consumption requirements of different operation states;

[0043] A calculation module, configured to select each energy-consuming device according to the device operation priority rule, and calculate the target energy supply value of each energy-consuming device according to the power load data;

[0044] A generation module, based on the target energy supply value, allocates the output power data, generates an energy supply instruction for each energy-consuming device, and sends the energy supply instruction to the energy-consuming device control unit to achieve intelligent energy coordination under the drive of the operation state.

[0045] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program instructions are executed by the processor, the steps of the ship intelligent energy management method as described in the first aspect of the present invention are implemented.

[0046] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program instructions are executed by the processor, the steps of the ship intelligent energy management method as described in the first aspect of the present invention are implemented.

[0047] Compared with the prior art, the beneficial effects of the present invention are: a complete data acquisition network is established through a distributed data acquisition system, providing accurate and real-time data support for energy management decision-making; a multi-dimensional analysis method is used to accurately divide the navigation conditions, and combined with the energy consumption characteristic curve, a differential device operation priority rule is constructed, breaking through the limitation of traditional fixed priority allocation; a dual decision-making mechanism based on historical data and real-time status is used to calculate the target energy supply value, and the smooth transition of energy allocation is ensured through change rate limitation; a strict power allocation strategy and a closed-loop control system are established to ensure the reliability of the system operation, solving problems such as inaccurate state recognition, rough priority division, and unreasonable energy allocation in traditional ship energy management, improving the operation efficiency and controllability of the ship energy system, and having important practical value for the intelligent operation of ships. Description of the Drawings

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0049] Figure 1 It is a flowchart of the ship intelligent energy management method in Embodiment 1. Detailed Embodiments

[0050] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following detailed description of the specific embodiments of the present invention will be provided in conjunction with the accompanying drawings of the specification.

[0051] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0052] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that mutually excludes other embodiments.

[0053] Embodiment 1

[0054] Referring to Figure 1 , this is the first embodiment of the present invention. This embodiment provides a method for intelligent energy management of ships, including:

[0055] S1: Collect the operation data and navigation condition signals of the ship's power system, and transmit the operation data and navigation condition signals to the energy management controller, where the operation data includes output power data and electricity load data.

[0056] S1.1: Collect the operation data and navigation condition signals through the ship's distributed data acquisition system, where the distributed data acquisition system includes multiple sensor nodes installed at key parts of the ship.

[0057] In an alternative embodiment, the operation data includes main engine output power data, auxiliary engine output power data, propulsion motor electricity load data, ship auxiliary equipment electricity load data, and battery pack charge and discharge state data; the navigation condition signals include ship speed data, geographical position coordinate data, and ship attitude data; the operation data and navigation condition signals at the corresponding positions are collected in real time through the sensor nodes; the sensor nodes are configured with power sensors, load sensors, and navigation state sensors.

[0058] S1.2: Transmit the operation data and navigation condition signals to the energy management controller through the ship's communication network, where the energy management controller is provided with a data interface module for receiving and preprocessing the operation data and navigation condition signals.

[0059] S2: Divide the ship's operation state according to the navigation condition signals, and construct a device operation priority rule in combination with the energy consumption requirements of different operation states.

[0060] S2.1: Perform multi-dimensional analysis on the navigation condition signals through the energy management controller, and divide the ship operation status into berthing mode, departure mode, and cruising mode.

[0061] In an alternative embodiment, when the ship's navigation speed is less than the first threshold and the geographical location coordinate data shows that the ship is located in the port area, the current ship operation status is the berthing mode; when the ship's navigation speed is greater than the first threshold and less than the second threshold, and the ship attitude data shows that the longitudinal inclination angle is in dynamic change, the current ship operation status is the departure mode; when the ship's navigation speed is greater than the second threshold and the ship attitude data shows that the longitudinal inclination angle remains unchanged, the current ship operation status is the cruising mode.

[0062] Exemplarily, when the ship's navigation speed is 1.8 knots and the geographical location coordinate data shows that the ship is located in the port area (such as latitude 30.05°N, longitude 122.06°E), the current ship operation status is the berthing mode; when the ship's navigation speed is 6.5 knots, greater than the first threshold of 3 knots and less than the second threshold of 12 knots, and the ship attitude data shows that the longitudinal inclination angle changes from 1.2 degrees to 4.0 degrees in a short time and is in a dynamic change state, the current ship operation status is the departure mode; when the ship's navigation speed is 14.6 knots, greater than the second threshold of 12 knots, and the ship attitude data shows that the longitudinal inclination angle always remains stable at about 2.1 degrees with slight fluctuations, basically remaining unchanged, the current ship operation status is the cruising mode.

[0063] It should be noted that the first threshold is set based on the upper limit of the typical operation speed of the ship in the port area; usually, during operations such as berthing, turning around, and leaving the berth, the ship's speed is controlled below 3 knots (knots) to ensure safe operation; therefore, the first threshold is usually set at about 3 knots to define the boundary between the "berthing mode" and the "departure mode"; the second threshold is set based on the lowest economic navigation speed when the ship reaches a stable cruising state; the cruising mode is usually in the stage when the ship has left the port area and entered the route navigation, and at this time the ship speed is generally higher than 12 knots.

[0064] S2.2: Establish an energy consumption characteristic curve for the ship operation status, and construct an equipment operation priority rule through the energy management controller in combination with the energy consumption requirements of the ship operation status.

[0065] In an alternative embodiment, the equipment operation priority rule includes the start-stop sequence and load distribution ratio of the equipment, and adopts a grading from level 1 to level 5. Among them, the ship auxiliary equipment has the highest priority in the berthing mode, the propulsion system has the highest priority in the departure mode, and the equipment for maintaining the ship's navigation stability has the highest priority in the cruising mode.

[0066] In an alternative embodiment, the method for constructing the device operation priority rules is as follows: collect the ship operation data within a preset time period, where the operation data includes the energy consumption data of ship auxiliary equipment, the energy consumption data of the propulsion system, and the energy consumption data of ship navigation stability equipment; establish the energy consumption characteristic curves of the berthing mode, the departure mode, and the cruising mode based on the ship operation data; count the energy consumption proportion of different devices in each operation mode to generate the energy consumption proportion data; based on the energy consumption proportion data, divide the device priorities into level 1 to level 5, where the device with the highest energy consumption proportion data is classified as level 1 priority, and the device with the lowest energy consumption proportion data is classified as level 5 priority; for the berthing mode, set the ship auxiliary equipment as level 1 priority, the propulsion system as level 3 priority, and the ship navigation stability equipment as level 5 priority; for the departure mode, set the propulsion system as level 1 priority, the ship navigation stability equipment as level 3 priority, and the ship auxiliary equipment as level 5 priority; for the cruising mode, set the ship navigation stability equipment as level 1 priority, the propulsion system as level 3 priority, and the ship auxiliary equipment as level 5 priority.

[0067] Exemplarily, in the berthing mode, the level 1 priority devices include the dock power supply access device and the shore power conversion device, with load distribution ratios of 40% and 30% respectively; the level 2 priority devices include the port operation equipment and the emergency generator, with load distribution ratios of 25% and 15% respectively; the level 3 priority devices include the propulsion system standby and the ship monitoring system, with load distribution ratios of 15% and 10% respectively; the level 4 priority devices include the air conditioning system and the lighting system, with load distribution ratios of 10% and 8% respectively; the level 5 priority devices include the entertainment facilities and the maintenance equipment, with load distribution ratios of 5% and 2% respectively.

[0068] Exemplarily, in the departure mode, the level 1 priority devices include the main propulsion motor and the bow thruster, with load distribution ratios of 45% and 25% respectively; the level 2 priority devices include the steering device and the power battery pack, with load distribution ratios of 20% and 15% respectively; the level 3 priority devices include the anti-rolling device and the trim adjustment system, with load distribution ratios of 20% and 15% respectively; the level 4 priority devices include the crew living facilities and the ventilation system, with load distribution ratios of 12% and 8% respectively; the level 5 priority devices include the ship auxiliary lighting and the non-essential electrical equipment, with load distribution ratios of 7% and 3% respectively.

[0069] Exemplarily, in the cruise mode, the first - priority devices include the heading automatic control system and the ship attitude monitoring system, with load distribution ratios of 35% and 30% respectively; the second - priority devices include the ship roll - reduction system and the navigation radar system, with load distribution ratios of 25% and 15% respectively; the third - priority devices include the propulsion system constant speed and the communication equipment, with load distribution ratios of 20% and 15% respectively; the fourth - priority devices include the fresh water manufacturing system and the refrigeration equipment, with load distribution ratios of 12% and 8% respectively; the fifth - priority devices include the standby facilities and the temporary power - using equipment, with load distribution ratios of 7% and 3% respectively.

[0070] S3: Select each energy - using device according to the device operation priority rule, and calculate the target energy supply value of each energy - using device according to the power load data.

[0071] S3.1: Read the device operation priority rule through the energy management controller, and extract the device start - stop sequence and load distribution ratio under the current ship operation state.

[0072] S3.2: According to the device start - stop sequence, select each energy - using device in descending order of priority to form a set of devices to be supplied with energy.

[0073] S3.3: Obtain the power load data, and extract the historical load curve and current load value of each energy - using device.

[0074] S3.4: According to the historical load curve, combined with the current ship operation state, calculate the basic energy demand of each energy - using device.

[0075] In an alternative embodiment, the process of calculating the basic energy demand includes: Based on the efficiency curve of each energy - using device under the current load condition, calculate the minimum energy input required for the device to achieve the current function demand; Considering the start - up characteristics, stable operation range and energy - efficiency optimal point of the device, correct the minimum energy input to obtain the optimal energy input of the device; According to the functional importance evaluation under the current ship operation state, add a safety margin to the optimal energy input to form the basic energy demand. The specific formula is as follows:

[0076] E base,i =P min,i ·η eff,i ·(1 + K stab,i )·(1 + S i ·Ω i );

[0077] Where, E base,i is the basic energy demand of device i; P min,i is the minimum energy input required for device i to achieve the current function demand; η eff,i is the efficiency correction coefficient of device i, considering the device efficiency curve; Kstab,i The adjustment coefficient for the stable operation of device i, considering the startup characteristics and stable operation range of the device; S i The basic safety margin coefficient; Ω i The importance coefficient of device i under the current ship operation state.

[0078] It should be noted that the value range of this formula is positive real numbers, representing the energy input required by the device (unit: kilowatt-hour or joule). The minimum value is close to zero (indicating that the device hardly requires energy), and the maximum value depends on the rated power and importance coefficient of the device, and usually does not exceed 2 times the rated power of the device.

[0079] S3.5: Obtain the total available energy of the ship at present, and compare the total available energy with the sum of the basic energy demand. The total available energy is calculated based on the main engine output power data, auxiliary engine output power data, and the available capacity of the battery pack.

[0080] Preferably, the specific formula for the total available energy is as follows:

[0081]

[0082] where, E total is the total available energy of the ship at present; P main,i is the output power of the iii-th main engine; η m,i is the transmission efficiency of the i-th main engine; m is the total number of main engines; P aux,j is the output power of the j-th auxiliary engine; η a,j is the efficiency coefficient of the j-th auxiliary engine; k is the total number of auxiliary engines; C batt,l is the maximum available capacity of the l-th battery pack; SOC l is the current state of charge of the l-th battery pack; SOC min,l and SOC max,l are the minimum and maximum state of charge limits of the l-th battery pack respectively; b is the total number of battery packs.

[0083] It should be noted that the value range of this formula is positive real numbers, indicating the total available energy of the ship at the current moment (unit: kilowatt-hour or kilowatt). The minimum value is close to zero (indicating almost no available energy), and the maximum value is the sum when all energy devices are operating at full load.

[0084] In an alternative embodiment, when the total available energy is greater than or equal to the sum of the basic energy demands, the basic energy demands of each device are directly used as the target energy supply values; when the total available energy is less than the sum of the basic energy demands, according to the load distribution ratio in the device operation priority rules, in the order from high to low priority, energy is allocated to each energy-consuming device in turn until the total available energy is allocated completely, and the allocation result is used as the target energy supply value of each device.

[0085] In an alternative embodiment, the specific process of allocating energy according to priorities includes: meeting the basic energy demand of the first-priority devices; calculating the remaining allocable energy equal to the total available energy minus the energy already allocated to the first-priority devices; if the remaining allocable energy is sufficient to meet the basic energy demand of the second-priority devices, allocate it in full; otherwise, allocate the remaining allocable energy proportionally according to the relative importance ratio among the second-priority devices; and so on, processing the energy allocation for the third-priority, fourth-priority, and fifth-priority devices in sequence until the total available energy is allocated completely or the basic energy demands of all devices are met.

[0086] In an alternative embodiment, calculate the remaining allocable energy after allocating to the first-priority and second-priority devices, and obtain the total basic energy demand of the third-priority devices; when the remaining allocable energy is greater than or equal to the total basic energy demand of the third-priority devices, allocate the basic energy demand of each third-priority device in full as its target energy supply value; when the remaining allocable energy is less than the total basic energy demand of the third-priority devices, allocate the remaining allocable energy proportionally according to the relative importance coefficient of each third-priority device in the current ship operation state; update the remaining allocable energy equal to the remaining allocable energy in the previous step minus the energy allocated to the third-priority devices.

[0087] In an alternative embodiment, obtain the total basic energy demand of the fourth-priority devices; when the updated remaining allocable energy is greater than or equal to the total basic energy demand of the fourth-priority devices, allocate the basic energy demand of each fourth-priority device in full as its target energy supply value; when the updated remaining allocable energy is less than the total basic energy demand of the fourth-priority devices, allocate the updated remaining allocable energy proportionally according to the relative importance coefficient of each fourth-priority device in the current ship operation state; update the remaining allocable energy again equal to the remaining allocable energy in the previous step minus the energy allocated to the fourth-priority devices.

[0088] In an alternative embodiment, the total basic energy demand of five - level priority devices is obtained; when the remaining allocable energy after the second update is greater than or equal to the total basic energy demand of five - level priority devices, the full basic energy demand of each five - level priority device is allocated as its target energy supply value; when the remaining allocable energy after the second update is less than the total basic energy demand of five - level priority devices, the remaining allocable energy after the second update is proportionally allocated according to the relative importance coefficients of each five - level priority device under the current ship operation state; for the case of proportional allocation, it is checked whether the energy amount allocated to each device meets the requirement of its minimum operation threshold; when the energy amount allocated to a device is lower than its minimum operation threshold, the device is marked as a non - energy - supplyable device, and the originally allocated energy amount for this device is re - allocated to other devices at the same level.

[0089] In an alternative embodiment, after the energy allocation for all priority devices is completed, a final target energy supply value allocation scheme is formed.

[0090] S3.6: Based on the comparison result, smooth processing is performed on the target energy supply value. By setting a maximum change rate limit, it is ensured that the change in the target energy supply value does not exceed the adjustment rate that the device can withstand, and a final target energy supply value is formed.

[0091] In an alternative embodiment, the smooth processing process includes: obtaining the current actual energy supply value of each energy - consuming device, calculating the difference between the target energy supply value and the actual energy supply value; comparing the difference with the maximum change rate allowed for the device; when the difference exceeds the maximum allowable change amount per unit time of the device, the target energy supply value is corrected to the actual energy supply value plus or minus the maximum allowable change amount, and the corrected value is used as the final target energy supply value; when the difference does not exceed the maximum allowable change amount per unit time of the device, the original target energy supply value is directly used as the final target energy supply value.

[0092] S4: Based on the target energy supply value, the output power data is allocated, a power supply instruction for each energy - consuming device is generated, and the power supply instruction is sent to the energy - consuming device control unit to achieve intelligent energy coordination under the drive of the operation state.

[0093] S4.1: The energy management controller reads the target energy supply value of each energy - consuming device in the target energy supply value and obtains the total active power of the output power data.

[0094] S4.2: When the sum of the target energy supply values of all devices is less than or equal to the total active power, the actual allocated power of each energy - consuming device is directly equal to the target energy supply value.

[0095] S4.3: When the sum of the target energy supply values of all devices is greater than the total active power, power distribution is carried out in descending order of device priority. High-priority devices are preferentially ensured to obtain the target energy supply value, and the remaining power is distributed to other devices in the order of priority.

[0096] S4.4: Based on the actually allocated power obtained from the distribution, generate energy supply instructions for each energy-consuming device. The energy supply instructions include device start / stop control instructions, device power setting instructions, and device operation mode instructions.

[0097] In an alternative embodiment, the device start / stop control instructions specify the start time and stop time of each device; the device power setting instructions include the target output power value and the power adjustment rate for each time period; the device operation mode instructions determine the operation mode and control parameters of each device.

[0098] S4.5: Send the energy supply instructions to the control unit of the corresponding energy-consuming device through the CAN bus, and adjust the power supply device of the corresponding energy-consuming device according to the instruction parameters.

[0099] S4.6: Real-time monitor the actual power consumption of each energy-consuming device according to the preset sampling period to complete the intelligent energy coordination driven by the operation state.

[0100] In an alternative embodiment, the dynamic coordination of the energy supply instructions is triggered when the following situations are detected:

[0101] 1) The actual power consumption exceeds the power limit value;

[0102] 2) The actual power consumption in three consecutive sampling periods is lower than 80% of the allocated power;

[0103] 3) It is detected that the operation state of the energy-consuming device has changed.

[0104] In summary, the present invention establishes a complete data acquisition network through a distributed data acquisition system, providing accurate and real-time data support for energy management decision-making; uses a multi-dimensional analysis method to accurately divide the navigation conditions, combines the energy consumption characteristic curve to construct a differential device operation priority rule, breaking through the limitations of traditional fixed-priority allocation; calculates the target energy supply value based on a dual decision-making mechanism of historical data and real-time status, and ensures a smooth transition of energy distribution through rate limit; establishes a strict power distribution strategy and a closed-loop control system to ensure the reliability of system operation, solves problems such as inaccurate state recognition, rough priority division, and unreasonable energy distribution in traditional ship energy management, improves the operation efficiency and controllability of the ship energy system, and has important practical value for the intelligent operation of ships.

[0105] Embodiment 2

[0106] This embodiment also provides a ship intelligent energy management system, including:

[0107] An acquisition module, configured to acquire the operation data and navigation condition signals of the ship power system, and transmit the operation data and navigation condition signals to the energy management controller, where the operation data includes output power data and power consumption load data;

[0108] A division module, configured to divide the ship operation state according to the navigation condition signals, and construct a device operation priority rule in combination with the energy consumption requirements of different operation states;

[0109] A calculation module, configured to select each energy-consuming device according to the device operation priority rule, and calculate the target energy supply value of each energy-consuming device according to the power consumption load data;

[0110] A generation module, based on the target energy supply value, distributes the output power data, generates an energy supply instruction for each energy-consuming device, and sends the energy supply instruction to the energy-consuming device control unit to realize intelligent energy coordination driven by the operation state.

[0111] It should be noted that the technical solution of this ship intelligent energy management system belongs to the same concept as the technical solution of the above-mentioned ship intelligent energy management method. For the details not described in detail in the technical solution of this ship intelligent energy management system in this embodiment, reference can be made to the description of the technical solution of the above-mentioned ship intelligent energy management method.

[0112] The above-mentioned unit modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0113] This embodiment also provides an electronic device, which includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. When the computer program is executed by the processor, it implements a multi-task edge computing resource scheduling method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad set on the shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0114] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by the processor, it implements the method proposed in the above embodiment.

[0115] The storage medium proposed in this embodiment and the method proposed in the above embodiment belong to the same inventive concept. For technical details not described in detail in this embodiment, reference can be made to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0116] Through the above description of the implementation manners, those skilled in the art can clearly understand that the present invention can be implemented by means of software and necessary general hardware. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation manner. Based on such an understanding, the technical solution of the present invention, in essence, or the part that makes a contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a floppy disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FLASH), a hard disk, or an optical disc of a computer, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the method of the embodiment of the present invention.

[0117] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

[0118] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages.

[0119] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0120] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0121] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0122] Although the preferred embodiments of the present application have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn of the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present application.

[0123] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for intelligent energy management of ships, characterized in that: include, Collecting operation data and navigation condition signals of the ship power system, and transmitting the operation data and navigation condition signals to the energy management controller, wherein the operation data includes output power data and power load data; The ship operation status is divided according to the navigation condition signal, and the equipment operation priority rules are constructed in combination with the energy demand of different operation statuses; Selecting each energy-consuming device according to the device operation priority rule, and calculating the target energy supply value of each energy-consuming device according to the power load data; Based on the target energy supply value, the output power data is distributed, energy supply instructions for each energy-consuming device are generated, and the energy supply instructions are sent to the energy-consuming device control unit to achieve intelligent energy coordination driven by the operating status.

2. The method for intelligent ship energy management according to claim 1, characterized in that: The method for generating the energy supply instruction is: The target energy supply value of each energy-consuming device in the target energy supply value is read through the energy management controller, and the total active power of the output power data is obtained; When the sum of the target energy supply values ​​of all devices is less than or equal to the total active power, the actual allocated power of each energy-consuming device is directly equal to the target energy supply value; When the sum of the target energy supply values ​​of all devices is greater than the total active power, power is allocated in descending order of device priority, with high-priority devices being given priority to obtain the target energy supply value, and the remaining power is allocated to other devices in order of priority; Based on the actual allocated power obtained by allocation, generating energy supply instructions for each energy-consuming device, wherein the energy supply instructions include equipment start and stop control instructions, equipment power setting instructions and equipment operation mode instructions; The energy supply instructions are respectively sent to the control units of the corresponding energy-using devices through the CAN bus, and the power supply devices of the corresponding energy-using devices are adjusted according to the instruction parameters; The actual power consumption of each energy-consuming device is monitored in real time according to the preset sampling period, completing intelligent energy coordination driven by the operating status.

3. The method for intelligent ship energy management according to claim 2, characterized in that: Selecting each energy-consuming device according to the device operation priority rule, and calculating the target energy supply value of each energy-consuming device according to the power load data, including: The equipment operation priority rules are read through the energy management controller to extract the equipment start and stop sequence and load distribution ratio under the current ship operation state; According to the start and stop sequence of the equipment, each energy-consuming equipment is selected in descending order of priority to form a set of equipment to be supplied with energy; Obtain power load data and extract the historical load curve and current load value of each energy-consuming device; According to the historical load curve and in combination with the current ship operation status, the basic energy demand of each energy-consuming equipment is calculated; Obtaining the current total available energy of the ship, and comparing the total available energy with the sum of basic energy requirements, wherein the total available energy is calculated based on the main engine output power data, the auxiliary engine output power data and the available capacity of the battery pack; Based on the comparison results, the target energy supply value is smoothed, and the maximum change rate limit is set to ensure that the change of the target energy supply value does not exceed the adjustment rate that the equipment can withstand, thereby forming the final target energy supply value.

4. The method for intelligent ship energy management according to claim 3, characterized in that: Compare the total available energy to the sum of the basic energy requirements, including: When the total available energy is greater than or equal to the sum of the basic energy requirements, the basic energy requirements of each device are directly used as the target energy supply value; When the total available energy is less than the sum of basic energy demands, energy is allocated to each energy-consuming device in order of priority from high to low according to the load distribution ratio in the equipment operation priority rule until the total available energy is allocated, and the allocation result is used as the target energy supply value for each device.

5. The method for intelligent ship energy management according to claim 4, characterized in that: The ship's operating status is divided according to the navigation condition signal, and the equipment operation priority rules are constructed in combination with the energy demand of different operating statuses, including The energy management controller performs multi-dimensional analysis on the navigation condition signals and divides the ship's operating status into berthing mode, departure mode and cruising mode; According to the ship operation status, an energy consumption characteristic curve is established, and the equipment operation priority rules are constructed through the energy management controller in combination with the energy demand of the ship operation status.

6. The method for intelligent ship energy management according to claim 5, characterized in that: The ship operation status is divided into berthing mode, departure mode and cruising mode, including: When the ship's sailing speed is less than the first threshold and the geographic location coordinate data shows that the ship is located in the port area, the current ship operation state is the berthing mode; When the ship's sailing speed is greater than the first threshold and less than the second threshold, and the ship's attitude data shows that the trim angle is in a dynamic change, the current ship operation state is the sailing mode; When the ship's sailing speed is greater than the second threshold and the ship's attitude data shows that the longitudinal inclination angle remains unchanged, the current ship operation state is the cruise mode.

7. The method for intelligent ship energy management according to claim 1, characterized in that: Collect the operation data and navigation condition signals of the ship power system, including: Collecting operation data and navigation condition signals through a ship distributed data acquisition system, wherein the distributed data acquisition system includes a plurality of sensor nodes installed at key parts of the ship; The operating data and the navigation condition signal are transmitted to an energy management controller via a ship communication network, wherein the energy management controller is provided with a data interface module for receiving and preprocessing the operating data and the navigation condition signal.

8. A ship intelligent energy management system, based on the ship intelligent energy management method according to any one of claims 1 to 7, characterized in that: include, A collection module, used to collect operating data and navigation condition signals of the ship power system, and transmit the operating data and navigation condition signals to the energy management controller, wherein the operating data includes output power data and power load data; A division module, used to divide the ship's operating status according to the navigation condition signal, and to construct equipment operation priority rules in combination with the energy requirements of different operating statuses; A calculation module, used to select each energy-consuming device according to the device operation priority rule, and calculate the target energy supply value of each energy-consuming device according to the power load data; A generation module distributes the output power data based on the target energy supply value, generates energy supply instructions for each energy-consuming device, and sends the energy supply instructions to the energy-consuming device control unit to achieve intelligent energy coordination driven by the operating status.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the ship intelligent energy management method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the ship intelligent energy management method according to any one of claims 1 to 7 are implemented.

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