JP2022072037A - Main engine control system - Google Patents

Abstract

To provide a main engine control system capable of optimal control of a main engine suitable for marine operation of an individual ship.SOLUTION: A main engine control system includes: an arithmetic unit that performs arithmetic processing for controlling a main engine of a ship; and an analysis unit that, on the basis of analysis data which is at least one of control data of the main engine and monitoring data of the main engine, analyzes an operating state of the main engine and supports control of the main engine. The analysis unit has: a first processing area in which a first mathematical model simulating the main engine is set, and the analysis data is processed by the first mathematical model to derive control support parameters for supporting the control of the main engine; and a second processing area in which a second mathematical model which is a candidate for a mathematical model applied as the first mathematical model, is set, and based on the analysis data accumulated along the time series, test processing of the second mathematical model is executed independently from the control of the main engine.SELECTED DRAWING: Figure 1

Description

The present invention relates to a main engine control system for a ship.

Conventionally, many of the main engines (internal combustion engines) of ships are equipped with a main engine control system, and the main engine is controlled by this main engine control system. Generally, the main engine control system captures control data related to the control of the main engine, such as the rotation speed of the main engine, the operating amount of the fuel injection pump and the exhaust valve, from various sensors provided in the main engine, and incorporates the control data into the captured control data. On the other hand, real-time arithmetic processing (hereinafter referred to as real-time processing) is executed in units of 1/1000 second. As a result, the main engine control system determines various operation amounts for controlling the main engine, and controls the rotation speed of the main engine, the fuel injection amount to each cylinder, and the like.

As a conventional technique relating to such a main engine control system, for example, a system for optimizing the combustion process of the main engine of a ship operated at sea has been proposed (see Patent Document 1). In addition, the physical quantity affected by the secular change of the controlled object is estimated by the observer that inputs the operation amount from the control unit that controls the operation of the main engine as the control target of the ship including the main engine and the hull, and the secular change of this physical quantity. A ship engine control device that changes the control parameters of the main engine based on the previous value and the value after aging has been proposed (see Patent Document 2).

Japanese Unexamined Patent Publication No. 2013-7374 Japanese Unexamined Patent Publication No. 2011-214467

By the way, in a ship, apart from the control of the main engine by the above-mentioned main engine control system, the main engine is monitored based on the rules such as the ship class and the idea of the main engine manufacturer. Generally, monitoring data necessary for monitoring the main engine (for example, data represented by the temperature of exhaust gas at the cylinder outlet of the main engine, the pressure of lubricating oil (LO), etc.) is detected by each sensor provided in the main engine. The detected monitoring data is sequentially taken into the engine monitor (data logger) installed in the engine control room of the ship from each sensor of the main engine via a relay box or the like. In the monitoring of the main engine, the obtained monitoring data is collected in a certain period or a certain amount of data group in chronological order, and this data group is organized in a time series format such as a table or a graph by the engine monitor. Be monitored.

Further, the time-series data group can be collectively processed for the purpose of supporting not only the monitoring of the main engine but also the optimization of the control of the main engine. However, in the conventional main engine control system, since the real-time processing of the control data is executed as described above, it is difficult to cope with the batch processing of the time-series data group. In recent years, in the field of ships, it has been required that the main engine of each ship can be optimally controlled according to the actual operation at sea (hereinafter, abbreviated as marine operation).

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a main engine control system capable of optimally controlling a main engine suitable for the marine operation of each ship.

In order to solve the above-mentioned problems and achieve the object, the main engine control system according to the present invention includes an arithmetic unit that performs arithmetic processing for controlling the main engine of a ship, and control data related to the control of the main engine. Based on at least one of the monitoring data required for monitoring the main engine, the analysis unit includes an analysis unit that analyzes the operating state of the main engine and supports the control of the main engine, and the analysis unit is the main engine. A first mathematical model that simulates the above is set, and at least one of the control data and the monitoring data is processed by the first mathematical model, and control support parameters for supporting the control of the main engine are derived. A first processing area and a second mathematical model that is a candidate for a mathematical model applied as the first mathematical model are set, and at least one of the control data and the monitoring data accumulated along the time series. Based on this, it is characterized by having a second processing area in which the test processing of the second mathematical model is executed independently of the control of the main engine.

Further, in the main engine control system according to the present invention, in the above invention, the analysis unit is further provided with a model processing unit for calculating the proficiency level of the second mathematical model based on the result of the test processing. When the proficiency level is equal to or higher than the standard proficiency level, the second mathematical model is applied as the first mathematical model, and when the calculated proficiency level is less than the standard proficiency level, the second mathematical model is used. On the other hand, the test process is executed again.

Further, the main engine control system according to the present invention is characterized in that, in the above invention, the model processing unit determines whether or not the proficiency level of the second mathematical model is equal to or higher than the reference proficiency level. ..

Further, in the above invention, the main engine control system according to the present invention includes a model designation unit that designates the second mathematical model, and the test process is performed on the second mathematical model designated by the model designation unit. Is executed.

Further, in the above invention, the main engine control system according to the present invention is detected by the first sensor provided in the main engine, and the first detection data included in the control data is used in the arithmetic unit and the analysis unit. The second detection data detected by the first input / output unit and the second sensor provided in the main engine and included in the monitoring data are transmitted to the calculation unit and the analysis unit. It is characterized by including a second input / output unit for input / output.

According to the present invention, there is an effect that the main engine can be optimally controlled according to the marine operation of each ship.

FIG. 1 is a block diagram showing a configuration example of a main engine control system according to the first embodiment of the present invention. FIG. 2 is a flowchart showing an example of a method for putting a mathematical model into practical use according to the first embodiment of the present invention. FIG. 3 is a block diagram showing a configuration example of the main engine control system according to the second embodiment of the present invention. FIG. 4 is a flowchart showing an example of a method for putting a mathematical model into practical use according to the second embodiment of the present invention.

Hereinafter, preferred embodiments of the main engine control system according to the present invention will be described in detail with reference to the accompanying drawings. The present invention is not limited to the present embodiment. In addition, it should be noted that the drawings are schematic, and the relationship between the dimensions of each element, the ratio of each element, etc. may differ from the actual ones. Even between the drawings, there may be parts where the relationship and ratio of the dimensions are different from each other. Further, in each drawing, the same components are designated by the same reference numerals.

(Embodiment 1)
The main engine control system according to the first embodiment of the present invention will be described. FIG. 1 is a block diagram showing a configuration example of a main engine control system according to the first embodiment of the present invention. The main engine control system 1 according to the first embodiment controls the main engine of the target ship, and as shown in FIG. 1, the first input / output unit 2, the second input / output unit 3, and the drive unit. 4, a display unit 6, an arithmetic unit 8, and an analysis unit 10. Further, in the ship, the control device 5 and the engine monitor 7 shown in FIG. 1 are provided separately from the main engine control system 1.

Although not particularly shown, the "target ship" is a ship equipped with a main engine to be controlled and a main engine control system 1 for controlling the main engine. The "main engine to be controlled" is an internal combustion engine (main engine) for propulsion that rotates a propeller for propulsion of a ship via an output shaft such as a crankshaft. Examples of such a main engine include a two-stroke diesel engine such as a uniflow sweep-exhaust type crosshead diesel engine. Hereinafter, unless otherwise specified, the term "ship" means "a vessel equipped with a main engine to be controlled", and the term "main engine" refers to a main engine control system according to the present invention (exemplified in FIG. 1 in the first embodiment). It means the main engine to be controlled by the main engine control system 1).

The first input / output unit 2 inputs / outputs the first detection data by the first sensor 101 (see FIG. 1) provided in the main engine to the calculation unit 8 and the analysis unit 10. For example, a plurality of first sensors 101 are provided in the main engine. Each of these plurality of first sensors 101 detects the first detection data described later. The first input / output unit 2 is provided in the main engine, and inputs the first detection data from each of the plurality of first sensors 101. The first input / output unit 2 sequentially outputs each of the first detection data input in this way to the arithmetic unit 8 and the analysis unit 10.

The first detection data by the first sensor 101 is the detection data (sensor signal) included in the control data related to the control of the main engine. As such first detection data, for example, the rotation speed of the main engine, the crank angle, the in-cylinder pressure, the hydraulic oil pressure, the scavenging pressure, the temperature of the combustion gas sucked by the supercharger of the main engine (supercharger suction temperature), and the like. Examples include data in which changes in controlled events such as the temperature and pressure of cylinder oil appear for each control cycle of the main engine. The control cycle of the main engine corresponds to the execution cycle of the arithmetic processing (real-time processing) by the arithmetic unit 8 for controlling the main engine, and is, for example, a cycle of 1/1000 second unit.

The second input / output unit 3 inputs / outputs the second detection data by the second sensor 102 (see FIG. 1) provided in the main engine to the analysis unit 10. For example, a plurality of second sensors 102 are provided in the main engine. Each of these plurality of second sensors 102 detects the second detection data described later. The second input / output unit 3 is provided in the main engine, and inputs the second detection data from each of the plurality of second sensors 102. The second input / output unit 3 sequentially outputs each of the second detection data input in this way to the arithmetic unit 8 and the analysis unit 10.

The second detection data by the second sensor 102 is the detection data (sensor signal) included in the monitoring data necessary for monitoring the main engine. Such second detection data includes, for example, the temperature and pressure of the exhaust gas discharged from the cylinder of the main engine, the temperature and pressure of the cooling water and the system oil used in the main engine, and the like, which are longer than the control cycle of the main engine (hereinafter referred to as). There is data in which changes in the monitored event appear every time (called a long cycle).

The drive unit 4 is a unit for driving the main engine. Specifically, the drive units 4 are provided in the required number (s) in the main engine corresponding to the cylinders of the main engine. Each of these plurality of drive units 4 operates the solenoid valve of the drive system of the main engine based on the control signal output by the arithmetic unit 8. Examples of the solenoid valve operated by the drive unit 4 include a fuel injection system solenoid valve, an exhaust valve system solenoid valve, and a cylinder lubrication system solenoid valve.

The control device 5 is a device for maneuvering a ship. Specifically, the control device 5 is provided in the engine control room (engine room) of the ship. The control device 5 outputs the target (command) rotation speed of the main engine and instruction data instructing the start or stop of the main engine to the calculation unit 8 and the analysis unit 10 in response to a lever operation or the like by the user.

The display unit 6 displays various information about the ship, such as the operating state of the main engine. Specifically, the display unit 6 is composed of a display device such as a liquid crystal display, and is provided in an engine control room of a ship. For example, the display unit 6 receives the first detection data that has been processed by the calculation unit 8 such as physical quantity conversion from the calculation unit 8. Further, the display unit 6 receives the second detection data that has been processed by the calculation unit 8 such as physical quantity conversion from the calculation unit 8. The display unit 6 displays the first detection data and the second detection data after processing by the calculation unit 8 as data indicating the operating state of the main engine.

The engine monitor 7 is a device for monitoring the entire engine room of a ship. Specifically, the engine monitor 7 is composed of a data logger or the like and is provided in the engine control room of the ship. The engine monitor 7 receives auxiliary equipment status data indicating the status of the auxiliary equipment system from a sensor (not shown) or the like provided in the auxiliary equipment system of the ship. The engine monitor 7 accumulates the received auxiliary equipment status data in chronological order and outputs the received auxiliary equipment status data to the analysis unit 10. The auxiliary equipment system for ships includes, for example, pumps and filters for supplying oil (lubricating oil, fuel oil, etc.) or water to the main engine, generators, auxiliary boilers, water generators, and other devices other than the main engine. Can be mentioned.

The arithmetic unit 8 performs arithmetic processing for controlling the main engine of the ship. Specifically, the arithmetic unit 8 is composed of a memory for storing arithmetic parameters and the like, a CPU for executing a program, and the like, and is provided in the main engine. The arithmetic unit 8 is connected to the first input / output unit 2, each drive unit 4, the control device 5, and the analysis unit 10 so that data can be transmitted and received. The arithmetic unit 8 receives control data from these devices and units, and performs arithmetic processing (real-time processing) of the control data in real time each time. As a result, the arithmetic unit 8 derives the control value of each drive unit 4, outputs the control signal corresponding to the derived control value to each drive unit 4, and controls each drive unit 4. Further, each time the arithmetic unit 8 receives a control support parameter from the analysis unit 10, the arithmetic unit 8 derives the above-mentioned control value in consideration of the control support parameter, and outputs a control signal corresponding to the derived control value. , Correct or limit the control of each drive unit 4. In parallel with the control of the main engine by the control of the drive unit 4, the arithmetic unit 8 outputs the arithmetic data, which is the data indicating the derived control value, to the analysis unit 10.

Examples of the control data processed in real time by the arithmetic unit 8 include first detection data detected by the first sensor 101 of the main engine, instruction data from the control device 5, and the like.

Further, the arithmetic unit 8 can detect an abnormality that has occurred in the main engine by arithmetically processing the first detection data received from each first sensor 101 via the first input / output unit 2. Each time the calculation unit 8 detects an abnormality in the main engine, it outputs abnormality detection data indicating the detected abnormality in the main engine to the display unit 6 and the analysis unit 10. The display unit 6 can display information indicating an abnormality of the main engine based on the abnormality detection data.

The analysis unit 10 analyzes the operating state of the main engine based on the control data related to the control of the main engine and the monitoring data necessary for monitoring the main engine, and supports the control of the main engine. Specifically, as shown in FIG. 1, the analysis unit 10 includes an interface 11, a data processing unit 12, a model processing unit 15, a memory 16, and a control unit 18, and is provided in the main engine.

The interface 11 is a data input / output interface for the analysis unit 10 to take in at least one data (hereinafter referred to as analysis data) of the control data and the monitoring data of the main engine. Specifically, the interface 11 receives the control data of the main engine from the first input / output unit 2, the control device 5, and the arithmetic unit 8, and receives the monitoring data of the main engine from the second input / output unit 3 and the engine monitor 7. For example, the interface 11 receives the first detection data by each first sensor 101 of the main engine from the first input / output unit 2 as the control data of the main engine, and receives the instruction data for maneuvering the ship from the control device 5. The calculation data at the time of main engine control, the abnormality detection data of the main engine, and the like are received from the calculation unit 8. Further, the interface 11 receives the second detection data by each of the second sensors 102 of the main engine from the second input / output unit 3 as the monitoring data of the main engine, and the engine monitor 7 receives the auxiliary machine status data indicating the status of the auxiliary equipment system. Accept from.

Examples of the control data of the main engine taken into the analysis unit 10 via the interface 11 include data indicating the control state of the main engine, data indicating the control event of the main engine, data related to arithmetic processing at the time of controlling the main engine, and the like.

Specifically, as data indicating the control state of the main engine, for example, the rotation speed (rotation speed of the output shaft), the load (engine load), the fuel input amount, the scavenging pressure, the supercharger suction temperature, the fuel injection angle, and the fuel. Injection period, fuel injection pump operating amount, exhaust valve opening / closing angle, exhaust valve operating amount, cylinder oil temperature and pressure, cylinder lubrication amount, cylinder lubrication angle, lubricator operating amount, in-cylinder pressure, hydraulic oil pressure , Parameters such as the operating amount of the hydraulic oil pump, the water injection rate, the water injection amount, and the EGR rate can be mentioned. Further, as the data indicating the control state of the main engine, for example, a parameter indicating the valve open / closed state of the exhaust system of the main engine, a parameter indicating the valve open / closed state of the scavenging system of the main engine, and the like can be mentioned.

Examples of the data indicating the control event of the main engine include parameters indicating the start or stop of the main engine, parameters indicating the operation mode of the main engine, abnormality detection data of the main engine, and the like. Further, as data related to the calculation process at the time of main engine control, for example, a set value such as a weighting coefficient of the calculation process executed by the calculation unit 8, a calculation result (calculation data), and the like can be mentioned.

Further, as the monitoring data of the main engine taken into the analysis unit 10 via the interface 11, for example, data indicating the performance of the main engine, data indicating the state of the components of the main engine, data related to the auxiliary equipment system, and the like can be mentioned.

Specifically, as data showing the performance of the main engine, for example, the temperature and pressure of exhaust gas, the temperature and pressure of system oil, the temperature and pressure of cooling water, the temperature and pressure of suction air, the temperature and pressure of scavenging air, etc. Can be mentioned. In addition, as data showing the state of the components of the main engine, for example, the bearing temperature and wear amount of the main engine, the temperature and wear amount of the cylinder liner, the water concentration of the system oil, the iron concentration of the cylinder drain, and various types mounted on the main engine. Numerical values calculated from the vibration and sound of the device, inspection images, etc. can be mentioned. Further, as data on the auxiliary machine system, for example, a parameter indicating the properties of oils and water supplied from the auxiliary machine system to the main engine, a parameter indicating the state of the auxiliary machine system, and the like can be mentioned.

The data processing unit 12 analyzes the operating state of the main engine and executes data processing or the like to support the control of the main engine. Specifically, the data processing unit 12 is composed of a memory for storing arithmetic parameters, a CPU for executing a program, and the like, and as shown in FIG. 1, a first processing area in which data processing related to control of the main engine is executed. It has 13 and a second processing area 14 in which data processing independent of the control of the main engine is executed.

As shown in FIG. 1, a first mathematical model 13b is set in the first processing area 13. The first mathematical model 13b is a mathematical model that simulates the main engine. For example, as a mathematical model that simulates the main engine, a mathematical model that simulates (reproduces) the operation of the main engine, a mathematical model that shows the state of the main engine, a mathematical model that predicts the state of the main engine, and the like can be mentioned. Further, the data processing unit 12 has a first pre-processing unit 13a and a first post-processing unit 13c in the first processing area 13. The first preprocessing unit 13a converts the analysis data taken into the analysis unit 10 into data in a format that can be processed by the first mathematical model 13b. The first post-processing unit 13c converts the data derived by the first mathematical model 13b into data (parameters) in a format that can be processed by the arithmetic unit 8. In such a first processing area 13, the data processing unit 12 processes the above-mentioned analysis data by the first mathematical model 13b. As a result, in the first processing area 13, control support parameters for supporting the control of the main engine are derived.

A second mathematical model 14b is set in the second processing area 14 as shown in FIG. The second mathematical model 14b is a mathematical model that simulates the main engine, and at the same time, is a candidate for a mathematical model that is applied as the first mathematical model 13b described above. Further, the data processing unit 12 has a second pre-processing unit 14a and a second post-processing unit 14c in the second processing area 14. The second preprocessing unit 14a converts the analysis data taken into the analysis unit 10 and accumulated along the time series into data in a format that can be processed by the second mathematical model 14b. The second post-processing unit 14c converts the data derived by the second mathematical model 14b into data in a format that can be processed by the model processing unit 15. In such a second processing area 14, the test processing of the second mathematical model 14b is executed independently of the control of the main engine based on the analysis data accumulated along the above-mentioned time series.

The model processing unit 15 executes the processing of the first mathematical model 13b involved in the control of the main engine and the processing of the second mathematical model 14b which is tested independently of the control of the main engine. Specifically, the model processing unit 15 is composed of a memory for storing arithmetic parameters, a CPU for executing a program, and the like. The model processing unit 15 calculates the proficiency level of the second mathematical model 14b based on the result of the test processing of the second mathematical model 14b in the second processing area 14. Further, in the memory 16 of the analysis unit 10, a reference proficiency level, which is a criterion for determining the proficiency level of the second mathematical model 14b, is stored in advance. This reference proficiency level is appropriately read from the memory 16 by the model processing unit 15. The model processing unit 15 determines whether or not the calculated proficiency level of the second mathematical model 14b is equal to or higher than the standard proficiency level. When the proficiency level of the second mathematical model 14b calculated by the model processing unit 15 is equal to or higher than the standard proficiency level, the second mathematical model 14b is subjected to the first mathematical model 13b of the first processing area 13 by the model processing unit 15. Applies as. When the proficiency level of the second mathematical model 14b calculated above is less than the standard proficiency level, the model processing unit 15 again executes the test process on the second mathematical model 14b in the second processing area 14. ..

The memory 16 stores and stores various data such as analysis data captured by the analysis unit 10. Specifically, the memory 16 is configured by a non-volatile storage device exemplified as a hard disk device. The memory 16 sequentially receives analysis data, which is at least one of the control data and monitoring data of the main engine described above, via the interface 11, and serves as an index for classifying the received analysis data. A time stamp indicating the chronological order is added. Then, the memory 16 stores these analysis data for each index and accumulates them as time-series data along the time series.

Further, the memory 16 stores a model data group such as a mathematical formula for generating a mathematical model. In the first embodiment, the model data group includes model data used for the first mathematical model 13b and model data used for the second mathematical model 14b. These model data are classified by mathematical model, for example, by adding an index. In particular, the memory 16 assigns an index indicating the proficiency level of the second mathematical model 14b by the test process to the model data of the second mathematical model 14b, and the model data corresponds to the proficiency level of the second mathematical model 14b. Attach and store. Further, the memory 16 stores data indicating the test processing result of the second mathematical model 14b (hereinafter referred to as test result data).

The control unit 18 controls each component that constitutes the analysis unit 10. Specifically, the control unit 18 is composed of a CPU or the like that executes a program, and controls data input / output between the interface 11, the data processing unit 12, the model processing unit 15, and the memory 16. Further, the control unit 18 controls the operations of the data processing unit 12, the model processing unit 15, and the memory 16 described above. The data processing unit 12 and the model processing unit 15 have a hardware configuration, but are not limited to this, and may be realized by a software configuration based on the program execution of the control unit 18. When the data processing unit 12 and the model processing unit 15 are realized by a software configuration, the data processing unit 12 and the model processing unit 15 may be included in the control unit 18 as a functional unit of the control unit 18.

The main engine control system 1 having the above-described configuration controls each of the plurality of drive units 4 provided in the main engine based on the result of the arithmetic processing by the arithmetic unit 8. As a result, the main engine control system 1 controls the rotation speed of the main engine and various controls of the main engine such as fuel injection control, exhaust valve operation control, hydraulic oil pressure control, and cylinder lubrication control.

Specifically, in the main engine control system 1 shown in FIG. 1, the arithmetic unit 8 acquires instruction data instructing the target rotation speed, start or stop, etc. of the main engine from the control device 5. Further, the arithmetic unit 8 acquires the first detection data detected by each of the plurality of first sensors 101 via the first input / output unit 2. The arithmetic unit 8 executes real-time processing based on the first detection data and the instruction data from the control device 5 each time the first detection data is acquired, for example, in a cycle of 1/1000 second. As a result, the arithmetic unit 8 derives a control value that determines the operation amount (operation amount) of the drive unit 4 to be controlled in real time, and outputs a control signal corresponding to the derived control value to the drive unit 4. .. In this way, the arithmetic unit 8 controls each of the plurality of drive units 4.

Further, the arithmetic unit 8 controls the drive unit 4 described above and monitors the operating state of the main engine. For example, when the first detection data acquired via the first input / output unit 2 is data indicating an abnormality of the main engine, the arithmetic unit 8 detects the occurrence of an abnormality of the main engine based on the first detection data. .. Alternatively, when the second detection data acquired via the second input / output unit 3 is data indicating an abnormality of the main engine, the arithmetic unit 8 detects the occurrence of an abnormality of the main engine based on the second detection data. .. After that, the arithmetic unit 8 outputs the arithmetic data and the abnormality detection data obtained by the above-mentioned real-time processing to the analysis unit 10 as a part of the control data and the monitoring data of the main engine.

In parallel with the control of the main engine described above, the analysis unit 10 operates the main engine based on at least one of the control data and the monitoring data of the main engine sequentially fetched from the arithmetic unit 8 and the like in chronological order. Analyze the state and support the control of the main engine.

Specifically, in the first processing area 13 of the analysis unit 10, the first preprocessing unit 13a reads the data necessary for supporting the control of the main engine from the time series data stored in the memory 16. Examples of the data include a data group including the latest control data and monitoring data among the time series data. More specifically, the first preprocessing unit 13a selects a plurality of control data including the latest control data from the time series data, and the time interval of each data is the same as the control cycle of the main engine. Extract and read as follows. In addition, the first preprocessing unit 13a selects a plurality of monitoring data including the latest monitoring data from the time-series data, and the time interval of each data is longer than the control cycle of the main engine (long cycle). Read by thinning out so that it becomes). The first preprocessing unit 13a converts the read data into data in a format that can be processed by the first mathematical model 13b, and outputs the converted data to the first mathematical model 13b.

The first mathematical model 13b collectively processes the data group received from the first preprocessing unit 13a, thereby deriving data indicating the operating state of the main engine in consideration of the marine operation of the ship up to the present time. Hereinafter, batch data processing for a data group along the time series in this way is referred to as batch processing. The first post-processing unit 13c accepts and processes the data derived by the first mathematical model 13b, thereby deriving control support parameters for contributing to optimization of the operating state of the main engine and preventive maintenance. Examples of the control support parameters include an operation amount of the drive unit 4 for reducing fuel consumption of the main engine, an index indicating an abnormality in the operating state of the main engine, a failure probability of a component of the main engine, and the like. The first post-processing unit 13c outputs the derived control support parameter to the calculation unit 8.

When the above-mentioned control support parameter is output from the analysis unit 10 to the calculation unit 8, the calculation unit 8 corrects the above-mentioned control value based on this control support parameter, and the control signal corresponding to the corrected control value. Is output to each drive unit 4. As a result, the arithmetic unit 8 controls each drive unit 4 in consideration of the marine operation of the ship up to the present time. Alternatively, the arithmetic unit 8 derives the above-mentioned control value in consideration of the operating state of the main engine and the failure probability of the component indicated by the above-mentioned control support parameter, and drives each of them by the control signal corresponding to the derived control value. Control unit 4. As a result, the arithmetic unit 8 optimizes and limits the control of the main engine, and contributes to the optimization of the operating state of the main engine and preventive maintenance. As described above, the arithmetic unit 8 controls the optimum main engine suitable for the marine operation of each ship.

On the other hand, in the main engine control system 1 described above, the analysis unit 10 executes data processing (batch processing) for putting the second mathematical model 14b into practical use independently of the control of the main engine. FIG. 2 is a flowchart showing an example of a method for putting a mathematical model into practical use according to the first embodiment of the present invention.

In the practical method of the second mathematical model 14b in the first embodiment, the analysis unit 10 (see FIG. 1) accumulates the control data and the monitoring data of the main engine in chronological order as shown in FIG. (Step S101). In step S101, the memory 16 sequentially receives the control data and the monitoring data of the main engine via the interface 11. The memory 16 classifies the received control data and monitoring data according to the type of data by adding an index and a time stamp, and accumulates the received control data and monitoring data as time series data along the time series.

Next, the analysis unit 10 executes the test process of the second mathematical model 14b to be tested (step S102). In step S102, the model processing unit 15 first causes the second mathematical model 14b to learn the operation of the main engine in consideration of the marine operation of each ship by a method such as machine learning. At this time, in the second processing area 14 of the data processing unit 12, the second preprocessing unit 14a selects the teacher data necessary for learning the second mathematical model 14b from the time series data stored in the memory 16. Read. Examples of the teacher data include data groups for a predetermined period including the latest control data and monitoring data among the time-series data. The second preprocessing unit 14a extracts from the above time-series data a group of control data for a predetermined period including the latest control data so that the time interval of each data is the same as the control cycle of the main engine. And read. Further, the second preprocessing unit 14a sets the monitoring data group for a predetermined period including the latest monitoring data from the time-series data so that the time interval of each data is longer than the control cycle of the main engine. Read by thinning out to. The second preprocessing unit 14a converts the read teacher data into data in a format that can be processed by the second mathematical model 14b, and outputs the converted teacher data to the second mathematical model 14b. The second mathematical model 14b sequentially processes the teacher data received from the second preprocessing unit 14a in chronological order, thereby learning the operation of the main engine in consideration of the marine operation of the ship.

Further, in step S102, the model processing unit 15 executes a test process on the second mathematical model 14b after the learning process. At this time, the second preprocessing unit 14a reads the test data necessary for the operation test of the second mathematical model 14b from the time series data stored in the memory 16. Examples of the test data include data groups for a predetermined period including control data and monitoring data used for deriving control support parameters of the main engine among the time series data. The second preprocessing unit 14a controls the control data group for a predetermined period including the control data used for deriving the control support parameters of the main engine from the time series data, and the time interval of each data is the control of the main engine. Extract and read so that it has the same cycle. In addition, the second preprocessing unit 14a uses the time-series data as the main engine for monitoring data groups for a predetermined period including monitoring data used for deriving control support parameters of the main engine. Read by thinning out so that it is longer than the control cycle of. The second preprocessing unit 14a converts the read test data into data in a format that can be processed by the second mathematical model 14b, and outputs the test data after the conversion processing to the second mathematical model 14b. The second mathematical model 14b collectively processes the test data received from the second preprocessing unit 14a, thereby deriving simulated data showing the simulation result of the operating state of the main engine in consideration of the marine operation of the ship. The second post-processing unit 14c accepts and processes the simulated data derived by the second mathematical model 14b, thereby deriving a simulated parameter showing the simulation result of the derivation of the control support parameter described above.

The test result data showing the result of the test processing is output from each of the second pre-processing unit 14a, the second mathematical model 14b, and the second post-processing unit 14c to the model processing unit 15 and the memory 16. The test result data includes test data after conversion processing by the second preprocessing unit 14a, simulated data by the second mathematical model 14b, and simulated parameters by the second post-processing unit 14c.

After the execution of step S102, the analysis unit 10 executes the proficiency level calculation process of the second mathematical model 14b (step S103). In step S103, the model processing unit 15 calculates the proficiency level of the second mathematical model 14b based on the result of the test processing for the second mathematical model 14b.

Specifically, the model processing unit 15 outputs the test data output from the second preprocessing unit 14a and the second mathematical model 14b as test result data indicating the result of the test processing for the second mathematical model 14b. The simulated data and the simulated parameters output from the second post-processing unit 14c are acquired. The model processing unit 15 calculates the proficiency level of the second mathematical model 14b after the test processing based on the acquired data. The proficiency level is, for example, an index indicating the learning level of the second mathematical model 14b regarding the operation of the main engine in consideration of the marine operation of the ship, and changes depending on the correct answer rate of the test process for the second mathematical model 14b and the like. do. The model processing unit 15 outputs the calculated proficiency level data indicating the proficiency level to the memory 16.

After executing step S103, the analysis unit 10 collects data regarding the test process of the second mathematical model 14b (step S104). In step S104, the memory 16 receives the test data from the second preprocessing unit 14a, the simulated data from the second mathematical model 14b, and the simulated parameters from the second post-processing unit 14c, and receives these data. It is stored as the test result data of the second mathematical model 14b. Further, the memory 16 receives the proficiency level data of the second mathematical model 14b and the model data such as mathematical formulas constituting the second mathematical model 14b for which the proficiency level is calculated from the model processing unit 15. The memory 16 stores the above-mentioned test result data and the proficiency level data in association with each other, and assigns an index indicating the current proficiency level of the second mathematical model 14b to the model data to store the model data in a second manner. It is stored as model data of the mathematical model 14b.

After the execution of step S104, the analysis unit 10 executes the proficiency determination process of the second mathematical model 14b (step S105). In step S105, the model processing unit 15 compares the proficiency level R of the second mathematical model 14b calculated in step S103 described above with the preset standard proficiency level Ra, and the proficiency level R is equal to or higher than the standard proficiency level Ra. It is determined whether or not it is. When the proficiency level R is equal to or higher than the reference proficiency level Ra (step S105, Yes), the model processing unit 15 uses the second mathematical model 14b having the proficiency level R as the first processing region 13 involved in the control of the main engine. It is applied as the first mathematical model 13b of (step S106).

In step S106, the model processing unit 15 reads the model data constituting the second mathematical model 14b having the proficiency level R equal to or higher than the reference proficiency level Ra from the memory 16, and generates the first mathematical model 13b from the read model data. .. Further, the memory 16 stores (updates) the model data of the second mathematical model 14b having the proficiency level R as the model data of the first mathematical model 13b generated above.

For example, in the first processing area 13 involved in the control of the main engine, the first mathematical model 13b generated based on the result of the operation simulation of the main engine is initially set in advance. The model data of the first mathematical model 13b of the initial setting is updated with the model data of the second mathematical model 14b having a proficiency level R equal to or higher than the reference proficiency level Ra. Alternatively, in the initial stage of the main engine control system 1, the first mathematical model 13b is not set in the first processing area 13, and the model data of the second mathematical model 14b having a proficiency level R equal to or higher than the standard proficiency level Ra is used. In addition, the first mathematical model 13b may be generated in the first processing area 13.

Further, the second mathematical model 14b in the first embodiment is set in advance in the second processing area 14 of the analysis unit 10 at the time of manufacturing the main engine control system 1 or the like. Such a second mathematical model 14b may be a mathematical model of the same type as the first mathematical model 13b, or may be a mathematical model that extends the functions of the first mathematical model 13b.

After executing step S106, the analysis unit 10 returns to step S101 described above, and repeats the processes after this step S101. Further, in the above-mentioned step S105, when the proficiency level R of the second mathematical model 14b is less than the reference proficiency level Ra (steps S105, No), the analysis unit 10 returns to the above-mentioned step S101, and after this step S101. Repeat the process.

As described above, in the main engine control system 1 according to the first embodiment of the present invention, the arithmetic unit 8 that performs arithmetic processing for controlling the main engine of the ship, and at least one of the control data and the monitoring data of the main engine. An analysis unit 10 that analyzes the operating state of the main engine based on the analysis data and supports the control of the main engine is provided, and the analysis unit 10 is the first capable of processing data related to the control of the main engine. It is configured to have a processing area 13 and a second processing area 14 capable of data processing independently of the control of the main engine. Further, in the first processing area 13, a first mathematical model 13b that simulates the main engine is set, and the analysis data is processed by the first mathematical model 13b so that the control support parameters of the main engine are derived. .. In the second processing area 14, a second mathematical model 14b, which is a candidate for a mathematical model applied as the first mathematical model 13b, is set, and is based on analytical data (time-series data) accumulated along the time series. In addition, the test process of the second mathematical model 14b is executed independently of the control of the main engine.

With the above configuration, while the arithmetic unit 8 executes short-cycle arithmetic processing (real-time processing) required for controlling the main engine, for example, in units of 1/1000 second, it is not limited by the real-time processing of the arithmetic unit 8. By batch processing (batch processing) using the time-series data having a longer cycle than the control cycle of the main engine, the test processing can be executed for the second mathematical model 14b in the second processing region 14. Therefore, it is possible to enhance the practicality of the second mathematical model 14b for the control of the main engine in consideration of the marine operation of each ship without disturbing the control of the main engine while executing the control of the main engine. As a result, the second mathematical model 14b with enhanced practicality can be easily applied as the first mathematical model 13b that can contribute to the control support of the main engine. As a result, it is possible to optimally control the main engine according to the marine operation of each ship.

In particular, when the second mathematical model 14b is the same type of mathematical model as the first mathematical model 13b, by applying the second mathematical model 14b with improved practicality as the first mathematical model 13b, the operation policy of the main engine and The first mathematical model 13b can be optimized according to the purpose. Further, when the second mathematical model 14b is a mathematical model that extends the functions of the first mathematical model 13b, the main engine is controlled by applying the second mathematical model 14b, which has improved practicality, as the first mathematical model 13b. After expanding the function of the first mathematical model 13b regarding support, the first mathematical model 13b can be optimized according to the operation policy and purpose of the main engine. In any of the above cases, it is possible to realize the first mathematical model 13b that is optimal for the control support of the main engine in consideration of the marine operation of each ship.

Further, in the main engine control system 1 according to the first embodiment of the present invention, the model processing unit 15 calculates the proficiency level R of the second mathematical model 14b by the above test processing, and the calculated proficiency level R is equal to or higher than the standard proficiency level Ra. It is determined whether or not it is. Therefore, when the proficiency level R of the second mathematical model 14b is equal to or higher than the standard proficiency level Ra, the second mathematical model 14b can be quickly and effortlessly applied as the first mathematical model 13b. Further, when the proficiency level R of the second mathematical model 14b is less than the standard proficiency level Ra, the above test process can be quickly and effortlessly repeated for the second mathematical model 14b.

(Embodiment 2)
Next, the main engine control system according to the second embodiment of the present invention will be described. FIG. 3 is a block diagram showing a configuration example of the main engine control system according to the second embodiment of the present invention. As shown in FIG. 3, the main engine control system 1A according to the second embodiment includes an analysis unit 20 in place of the analysis unit 10 of the main engine control system 1 according to the above-described first embodiment, and further includes a model designation unit 21. .. The analysis unit 20 includes a data processing unit 22 in place of the data processing unit 12 of the analysis unit 10 in the above-described first embodiment, a model processing unit 25 in place of the model processing unit 15, and a memory 26 in place of the memory 16. The control unit 28 is provided in place of the control unit 18. Further, in the data processing unit 22, the first mathematical model 23b is set in the first processing area 13 instead of the first mathematical model 13b in the first embodiment, and the second processing area 14 is set in the first embodiment. A second mathematical model 24b is set in place of the second mathematical model 14b. Other configurations are the same as those in the first embodiment, and the same components are designated by the same reference numerals.

The model designation unit 21 is a unit for designating the second mathematical model 24b to be tested. Specifically, the model designation unit 21 is a portable unit composed of, for example, a combination of an input device and a display device (workstation or the like), a touch panel device, or the like. The model designation unit 21 is connected to the analysis unit 20 so that data can be input / output at an arbitrary timing. The model designation unit 21 displays a plurality of mathematical model candidates in a selectable manner, and outputs the mathematical model designation data selected from the plurality of mathematical model candidates to the analysis unit 20 according to the user's operation. do. As a result, the model designation unit 21 designates the second mathematical model 24b to be tested for the analysis unit 20. In the analysis unit 20 of the second embodiment, the same test processing as that of the first embodiment is executed on the second mathematical model 24b designated by the model designation unit 21. The model data of the plurality of mathematical models that are candidates for the second mathematical model 24b may be stored in the memory 26 of the analysis unit 20 or may be stored in the internal memory of the model designation unit 21. good.

In the analysis unit 20 of the second embodiment, the setting function of the first mathematical model 23b of the first processing area 13 capable of data processing involved in the control of the main engine and the data processing independently of the control of the main engine are performed. The setting function of the second mathematical model 24b of the possible second processing area 14 is different from that of the first embodiment. The function of the analysis unit 20 is the same as that of the first embodiment except for the setting function of the first mathematical model 23b and the second mathematical model 24b.

In detail, as shown in FIG. 3, the data processing unit 22 includes the first mathematical model 23b, the first preprocessing unit 13a similar to the first embodiment, and the first preprocessing unit 13a in the first processing area 13 involved in the control of the main engine. It has a first post-processing unit 13c. The first mathematical model 23b is a mathematical model that simulates the main engine, and is generated by the same model data as the second mathematical model 24b in which the proficiency level R is increased to the standard proficiency level Ra or higher by test processing. That is, the first mathematical model 23b is a mathematical model originally designated by the model designation unit 21, and is a mathematical model that raises the proficiency level of the operation of the main engine in consideration of the marine operation of the ship to a practical level for controlling the main engine. be.

Further, as shown in FIG. 3, the data processing unit 22 has a second mathematical model 24b in a second processing area 14 capable of data processing independent of the control of the main engine, and a second front similar to the first embodiment. It has a processing unit 14a and a second post-processing unit 14c. The second mathematical model 24b is a mathematical model that simulates the main engine, and at the same time, is a candidate for a mathematical model that is applied as the first mathematical model 23b described above. In the second embodiment, the second mathematical model 24b is a mathematical model that is selectively designated by the model designation unit 21 from among a plurality of mathematical models stored in the memory 26 or the like.

The model processing unit 25 executes the processing of the first mathematical model 23b involved in the control of the main engine and the processing of the second mathematical model 24b which is tested independently of the control of the main engine. Specifically, the model processing unit 25 sets the mathematical model designated by the model designation unit 21 in the second processing area 14 of the data processing unit 22 as the second mathematical model 24b to be tested. The model processing unit 25 executes a test process, a proficiency level calculation process, and a proficiency level determination process on the second mathematical model 24b in the same manner as in the first embodiment. Further, the model processing unit 25 applies the second mathematical model 24b whose proficiency level R is higher than the standard proficiency level Ra as the first mathematical model 23b of the first processing area 13.

The memory 26 stores a model data group such as a mathematical formula for generating a mathematical model. In the second embodiment, the memory 26 is either the first mathematical model 23b or the second mathematical model 24b at the initial stage when the mathematical model is not set in either the first processing area 13 or the second processing area 14. A plurality of model data such as mathematical formulas (hereinafter referred to as non-attribute model data) that are not used in the above are stored as a model data group. When the mathematical model is designated by the model designation unit 21, the memory 26 uses the model data used for generating the designated mathematical model as the model of the second mathematical model 24b by adding an index or the like as in the first embodiment. Classify and store as data. In this case, the model data group includes the model data used for the second mathematical model 24b and the non-attribute model data.

Further, the memory 26 indexes the model data applied to the first mathematical model 23b when the second mathematical model 24b whose proficiency level R is higher than the standard proficiency level Ra is applied as the first mathematical model 23b. Is classified and stored as model data of the first mathematical model 23b by assigning or updating. In this case, the model data group includes the model data used for the first mathematical model 23b and the non-attribute model data. Further, in the memory 26, when the first mathematical model 23b is set in the first processing area 13 and the second mathematical model 24b is set in the second processing area 14, the first mathematical model 23b and the second mathematical model are set. Each model data of 24b is classified and stored as model data of the first mathematical model 23b and model data of the second mathematical model 24b by adding or updating an index. In this case, the model data group includes model data used for the first mathematical model 23b, model data used for the second mathematical model 24b, and non-attribute model data. The memory 26 is composed of a non-volatile storage device exemplified as a hard disk device, and stores and stores data other than the model data group described above in the same manner as in the first embodiment.

The control unit 28 controls each component that constitutes the analysis unit 20. Specifically, the control unit 28 acquires the designated data output by the model designation unit 21 via the interface 11, and based on the designated data, obtains the second mathematical model 24b designated by the model designation unit 21. The model processing unit 25 is controlled so as to be set (generated) in the second processing area 14. The control unit 28 has the same functions as those in the first embodiment, except for the function of controlling the setting of the second mathematical model 24b. Further, the data processing unit 22 and the model processing unit 25 described above may be realized by a software configuration based on the program execution of the control unit 28, or may be realized by a hardware configuration. When the data processing unit 22 and the model processing unit 25 are realized by a software configuration, the data processing unit 22 and the model processing unit 25 may be included in the control unit 28 as a functional unit of the control unit 28.

In the control of the main engine by the main engine control system 1A, the control support parameter is derived by replacing the first mathematical model 13b in the above-described first embodiment with the first mathematical model 23b in the second embodiment. The control of the main engine by the main engine control system 1A is performed in the same manner as in the first embodiment described above, except that the first mathematical model 23b is used.

On the other hand, in the main engine control system 1A, the analysis unit 20 executes data processing (batch processing) for putting the second mathematical model 24b designated by the model designation unit 21 into practical use independently of the control of the main engine. .. FIG. 4 is a flowchart showing an example of a method for putting a mathematical model into practical use according to the second embodiment of the present invention.

In the practical method of the second mathematical model 24b in the second embodiment, the analysis unit 20 (see FIG. 3) determines whether or not the mathematical model is specified as shown in FIG. 4 (step S201). In step S201, the control unit 28 determines whether or not the mathematical model has been designated by the model designation unit 21. Specifically, when the control unit 28 acquires the specified data of the mathematical model from the model designation unit 21 via the interface 11, it is determined that the mathematical model is specified by the acquired specified data (the mathematical model is specified). do. On the other hand, if the control unit 28 has not acquired the designated data from the model designation unit 21, it determines that the mathematical model has not been designated.

When the mathematical model is designated by the designated data from the model designation unit 21 (step S201, Yes), the analysis unit 20 executes the generation process of the designated mathematical model (step S202).

In step S202, the control unit 28 generates the mathematical model shown in the designated data in the second processing area 14 as the second mathematical model 24b to be tested, based on the designated data from the model designation unit 21. Controls the model processing unit 25 and the memory 26. The memory 26 uses the second mathematical model 24b as the model data necessary for generating the mathematical model indicated by the designated data among the non-attribute model data included in the model data group under the control of the control unit 28. It is stored with an index indicating that it is model data. The model data required to generate the mathematical model may be one or a plurality. The model processing unit 25 refers to the index attached to each model data of the model data group, and reads the model data with the index indicating the designated second mathematical model 24b from the memory 26. The model processing unit 25 generates the second mathematical model 24b in the second processing area 14 based on the read model data.

After the execution of step S202, the analysis unit 20 accumulates analysis data, which is at least one of the control data and the monitoring data of the main engine, in chronological order (step S203). In step S203, the memory 26 classifies the analysis data received via the interface 11 according to the type of data and time-series as time-series data, as in step S101 (see FIG. 2) in the first embodiment described above. Accumulate along.

After the execution of step S203, the analysis unit 20 executes the test process of the second mathematical model 24b to be tested (step S204). In step S204, the model processing unit 25 causes the second mathematical model 24b to learn the operation of the main engine in consideration of the marine operation of each ship, as in step S102 (see FIG. 2) in the above-described first embodiment, and this learning. A test process is executed for the second mathematical model 24b after the process. The test result data showing the result of this test processing is output from each of the second pre-processing unit 14a, the second mathematical model 24b, and the second post-processing unit 14c to the model processing unit 25 and the memory 26.

After the execution of step S204, the analysis unit 20 executes the proficiency level calculation process of the second mathematical model 24b (step S205). In step S205, the model processing unit 25 calculates the proficiency level of the second mathematical model 24b in the same manner as in step S103 (see FIG. 2) in the above-described first embodiment. The model processing unit 25 outputs the calculated proficiency level data indicating the proficiency level to the memory 26.

After executing step S205, the analysis unit 20 collects data regarding the test process of the second mathematical model 24b (step S206). In step S206, the memory 26 stores the test result data of the second mathematical model 24b and the proficiency level data in association with each other in the same manner as in step S104 (see FIG. 2) in the above-described first embodiment, and stores the second mathematical model 24b in association with each other. Stores the model data of the mathematical model 24b.

After executing step S206, the analysis unit 20 executes a process for determining the proficiency level of the second mathematical model 24b (step S207). In step S207, the model processing unit 25 determines whether the proficiency level R of the second mathematical model 24b calculated in step S205 is equal to or higher than the reference proficiency level Ra, as in step S105 (see FIG. 2) in the first embodiment described above. Judge whether or not. When the proficiency level R is equal to or higher than the reference proficiency level Ra (step S207, Yes), the model processing unit 25 uses the second mathematical model 24b having the proficiency level R as the first processing region 13 involved in the control of the main engine. (Step S208).

In step S208, the model processing unit 25 is the first mathematical model based on the model data of the second mathematical model 24b having a proficiency level R equal to or higher than the reference proficiency level Ra, similarly to step S106 (see FIG. 2) in the first embodiment described above. Generate model 23b. Further, the memory 26 stores (updates) the model data of the second mathematical model 24b having the proficiency level R as the model data of the first mathematical model 23b generated above.

For example, the first mathematical model 23b is not set in the first processing area 13 involved in the control of the main engine at the initial stage, and the model data of the second mathematical model 24b having a proficiency level R equal to or higher than the standard proficiency level Ra. The first mathematical model 23b is generated in the first processing area 13 based on the above.

Further, in the second embodiment, the second mathematical model 24b is a mathematical model designated by the model designation unit 21, and is set in the second processing area 14 when designated. Such a second mathematical model 24b may be a mathematical model of the same type as the first mathematical model 23b, or may be a mathematical model that extends the functions of the first mathematical model 23b.

After executing step S208, the analysis unit 20 returns to step S201 described above, and repeats the processes after this step S201. Further, in step S207 described above, when the proficiency level R of the second mathematical model 24b is less than the reference proficiency level Ra (steps S207, No), the analysis unit 20 returns to step S203 described above, and after this step S203. Repeat the process.

On the other hand, when the mathematical model is not specified by the model designation unit 21 in step S201 described above (steps S201, No), the analysis unit 20 determines the presence or absence of the second mathematical model 24b to be tested (step S201, No). Step S209).

In step S209, the model processing unit 25 refers to the model data group stored in the memory 26, and determines whether or not the model data of the second mathematical model 24b is included in the model data group. The presence or absence of the second mathematical model 24b can be determined, for example, based on the index attached to the model data. When the model data of the second mathematical model 24b is not included in the model data group, the model processing unit 25 determines that the second mathematical model 24b does not exist in the second processing area 14. In this case (steps S209, No), the analysis unit 20 returns to step S201 described above, and repeats the processing after this step S201. On the other hand, in step S209, when the model data of the second mathematical model 24b is included in the model data group, the model processing unit 25 determines that the second mathematical model 24b is in the second processing area 14. .. In this case (steps S209, Yes), the analysis unit 20 proceeds to step S203 described above, and repeats the processes after this step S203.

As described above, in the main engine control system 1A according to the second embodiment of the present invention, the second mathematical model 24b to be tested is designated by the model designation unit 21, and the designated second mathematical model 24b is processed by data. It is generated in the second processing area 14 of the unit 22, and the others are configured in the same manner as in the first embodiment. Therefore, while enjoying the same effects as those of the first embodiment described above, the second mathematical model 24b to be tested can be freely designated according to the marine operation of each ship, and the designated first. It can be applied as a first mathematical model 23b that can enhance the practicality (proficiency level R) of the two-mathematical model 24b and contribute to the control support of the main engine. As a result, the range of user flexibility of the main engine control system that can perform optimal control of the main engine according to the marine operation of each ship is expanded, and new value is created with ship users and partners on the shipbuilding side. Opportunities can be increased.

In the above-described first and second embodiments, one first mathematical model that can contribute to the control support of the main engine is set in the first processing area involved in the control of the main engine. Not limited. For example, a plurality of first mathematical models may be generated in the first processing area, and the plurality of first mathematical models may be used to support the control of the main engine.

Further, in the above-described first and second embodiments, one second mathematical model to be tested is set in the second processing area where data processing can be performed independently of the control of the main engine. , Not limited to this. For example, a plurality of second mathematical models may be generated in the second processing area, and each of the plurality of second mathematical models may be subjected to a practicality test process for the first mathematical model.

Further, in the above-described first and second embodiments, when the proficiency level R of the second mathematical model is equal to or higher than the reference proficiency level Ra, the model processing unit automatically applies the second mathematical model to the first mathematical model in the first processing area. Although applied as a model, the present invention is not limited to this. For example, the proficiency level R of the second mathematical model is displayed on a display device such as a display unit 6 so that the user can visually recognize it, and the user operates an input unit (not shown) according to the displayed proficiency level R. By operating this input unit, the second mathematical model may be manually applied as the first mathematical model in the first processing area.

Further, in the above-described first and second embodiments, various data in the analysis unit such as analysis data taken into the analysis unit and data of the processing result derived by the analysis unit are stored in the memory of the analysis unit. However, the present invention is not limited to this. For example, a device such as a workstation is connected to the analysis unit, a copy of the data stored in the memory of the analysis unit is stored in the device, and a copy of the obtained data is stored in an external data collection device. You may.

Further, the present invention is not limited to the above-described first and second embodiments. The present invention also includes a configuration in which the above-mentioned components are appropriately combined. In addition, other embodiments, examples, operational techniques, and the like made by those skilled in the art based on the above-mentioned embodiments 1 and 2 are all included in the scope of the present invention.

1, 1A Main engine control system 2 1st I / O unit 3 2nd I / O unit 4 Drive unit 5 Steering device 6 Display unit 7 Engine monitor 8 Arithmetic unit 10, 20 Analysis unit 11 Interface 12, 22 Data processing unit 13 1st processing Area 13a 1st pre-processing unit 13b, 23b 1st mathematical model 13c 1st post-processing unit 14 2nd processing area 14a 2nd pre-processing unit 14b, 24b 2nd mathematical model 14c 2nd post-processing unit 15, 25 model processing unit 16, 26 Memory 18, 28 Control unit 21 Model designation unit 101 1st sensor 102 2nd sensor

Claims (5)

An arithmetic unit that performs arithmetic processing to control the main engine of a ship,
An analysis unit that analyzes the operating state of the main engine and supports the control of the main engine based on at least one of the control data related to the control of the main engine and the monitoring data necessary for monitoring the main engine. ,
Equipped with
The analysis unit is
A first mathematical model that simulates the main engine is set, and at least one of the control data and the monitoring data is processed by the first mathematical model, and control support parameters for supporting the control of the main engine are set. The first processing area to be derived and
The second mathematical model, which is a candidate for the mathematical model applied as the first mathematical model, is set, and the control data and the monitoring data accumulated along the time series are used as the basis for the control data and the monitoring data. The second processing area where the test processing of the second mathematical model is executed independently of the control of the main engine,
Main engine control system characterized by having. The analysis unit further includes a model processing unit that calculates the proficiency level of the second mathematical model based on the result of the test processing.
When the calculated proficiency level is equal to or higher than the standard proficiency level, the second mathematical model is applied as the first mathematical model, and when the calculated proficiency level is less than the standard proficiency level, the second mathematical model is applied. The test process is executed again on the model.
The main engine control system according to claim 1. The model processing unit determines whether or not the proficiency level of the second mathematical model is equal to or higher than the reference proficiency level.
The main engine control system according to claim 2. A model designation unit that designates the second mathematical model is provided.
The test process is executed on the second mathematical model specified by the model designation unit.
The main engine control system according to claim 2 or 3. A first input / output unit that inputs / outputs the first detection data detected by the first sensor provided in the main engine and included in the control data to the calculation unit and the analysis unit.
A second input / output unit that inputs / outputs the second detection data detected by the second sensor provided in the main engine and included in the monitoring data to the calculation unit and the analysis unit.
The main engine control system according to any one of claims 1 to 4, wherein the main engine control system is provided.

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