KR20220057443A - Main engine control system - Google Patents

Abstract

Provided is a cycle control system, which can perform the optimal control of the cycle corresponding to the maritime management of each ship. To this end, the cycle control system comprises: a calculation unit which performs calculation processing to control the cycle of a ship; and an analysis unit which analyzes the driving state of the cycle based on analysis data which is at least one piece of data of the control data of the cycle and the monitoring data of the cycle to support the control of the cycle. The analysis unit comprises: a first processing area in which a first mathematical model for imitating the cycle is set, and, by processing the analysis data as the first mathematical model, a control support parameter is deduced to support the control of the cycle; and a second processing area in which a second mathematical model which is a candidate of a mathematical model applied as the first mathematical model is set, and, based on the analysis data accumulated according to the time series, the test processing of the second mathematical model is performed in an independent manner from the control of the cycle.

Description

Periodic Control System {MAIN ENGINE CONTROL SYSTEM}

The present invention relates to a cycle control system for a ship.

Conventionally, a cycle control system is mounted on most of the cycle (internal combustion engine) of a ship, and the cycle is controlled by this cycle control system. In general, the cycle control system retrieves control data related to cycle control, such as cycle rotation speed and the amount of operation of a fuel injection pump or exhaust valve, from various sensors formed in the cycle, and 1/ of the retrieved control data Real-time arithmetic processing in units of 1000 seconds (hereinafter referred to as real-time processing) is performed. In this way, the cycle control system determines various operation amounts for controlling the cycle, and controls the rotation speed of the cycle, the fuel injection amount to each cylinder, and the like.

As a prior art regarding such a cycle control system, the system for optimizing the combustion process of the cycle of the ship currently operating, for example, is proposed (refer patent document 1). In addition, the observer, which controls a ship including the main engine and the hull, receives an operation amount from a control unit that controls the operation of the main engine as an input, estimates a physical quantity affected by the secular change of the control object, and the aging of this physical quantity The engine control apparatus of the ship which changes the control parameter of a period based on the value before a change and the value after a secular change is proposed (refer patent document 2).

Japanese Patent Laid-Open No. 2013-7374 Japanese Patent Laid-Open No. 2011-214467

By the way, in a ship, the monitoring of a cycle is implemented based on regulations, such as a classification, and the thought of a cycle maker, separately from the control of cycle by the above-mentioned cycle control system. In general, monitoring data necessary for monitoring the cycle (for example, data represented by the temperature of exhaust gas at the cylinder outlet of the cycle, the pressure of lubricating oil LO, etc.) is detected by each sensor formed in the cycle. . The detected monitoring data are sequentially loaded from each sensor of the main engine via a relay box or the like to an engine monitor (data logger) installed in the engine control room of the ship. In periodic monitoring, the obtained monitoring data is integrated into a data group of a fixed period or a fixed amount along a time series, and this data group is monitored by an engine monitor in a time series format such as a table or graph.

In addition, the data group of the time series can be collectively data-processed for the purpose of supporting not only monitoring of the cycle but also optimization of control of the cycle. However, in the conventional period control system, since 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 is desired to be able to perform optimal control suitable for actual operation at sea (hereinafter, abbreviated as marine operation) for each cycle of each ship.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a cycle control system capable of performing optimal control of a cycle suited to individual marine operations of a ship.

In order to solve the above-mentioned problem and achieve the objective, the period control system which concerns on this invention includes the calculating unit which performs calculation processing for controlling the period of a ship, data for control related to the control of the said period, and the said period. an analysis unit supporting control of the cycle by analyzing the operation state of the cycle based on at least one of monitoring data required for monitoring of a first processing area set and in which at least one of the control data and the monitoring data is processed with the first hydraulic model to derive a control support parameter for supporting control of the cycle; A second hydraulic model that is a candidate for the applied hydraulic model is set, and based on at least one of the control data and the monitoring data accumulated along time series, the second hydraulic model is tested independently of the control of the cycle It is characterized in that it has a second processing area in which processing is performed.

Moreover, in the cycle control system according to the present invention, in the above invention, the analysis unit further includes a model processing unit for calculating the wetness level of the second hydraulic model based on the result of the test processing, When the used wetness level is greater than or equal to the reference wetness level, the second hydraulic model is applied as the first hydraulic model, and when the calculated wetness level is less than the reference wetness level, the test processing is performed It is characterized in that it is executed again.

Further, in the cycle control system according to the present invention, in the above invention, the model processing unit determines whether the wetness level of the second hydraulic model is equal to or greater than the reference wetness level or more.

Further, in the cycle control system according to the present invention, in the above invention, a model designation unit for designating the second repair model is provided, and the test process is performed for the second repair model designated by the model designation unit. characterized in that it is executed.

Further, in the cycle control system according to the present invention, in the above invention, the first detection data detected by the first sensor provided in the cycle and included in the control data is transferred to the arithmetic unit and the analysis unit. a first input/output unit for inputting/outputting to and from a second input/output unit for inputting and outputting second detection data detected by a second sensor formed in the period and included in the monitoring data to and from the arithmetic unit and the analysis unit It is characterized in that it has an input/output unit.

ADVANTAGE OF THE INVENTION According to this invention, it is effective in being able to perform optimal control of the period suitable for each ship's sea operation.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram which shows one structural example of the period control system which concerns on Embodiment 1 of this invention.
It is a flowchart which shows an example of the practical use method of the hydraulic model in Embodiment 1 of this invention.
Fig. 3 is a block diagram showing a configuration example of a cycle control system according to Embodiment 2 of the present invention.
It is a flowchart which shows an example of the practical use method of the hydraulic model in Embodiment 2 of this invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of a cycle control system according to the present invention will be described in detail with reference to the accompanying drawings. In addition, this invention is not limited by this embodiment. In addition, it is necessary to note that the drawings are schematic, and the relationship between the dimensions of each element, the ratio of each element, etc. may differ from actual ones. Also in each of the drawings, there are cases in which parts having different dimensional relationships and ratios are included. In addition, in each figure, the same code|symbol is attached|subjected to the same structural part.

(Embodiment 1)

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

Although not shown in particular, a "target ship" is a ship on which a cycle to be controlled and a cycle control system 1 for controlling the cycle are mounted. The "cycle to be controlled" is an internal combustion engine for propulsion (main engine) which rotates the propeller for propulsion of a ship via output shafts, such as a crankshaft. As such a cycle, two-stroke diesel engines, such as a uniflow small exhaust type crosshead diesel engine, are mentioned, for example. Hereinafter, unless otherwise specified, a ship means "a ship equipped with a machine to be controlled", and "a ship on which the machine to be controlled" is referred to, and when the machine is referred to as a machine, the machine control system according to the present invention (in the first embodiment, illustrated in FIG. The period to be controlled by the period control system 1) is meant.

The 1st input/output unit 2 inputs and outputs the 1st detection data by the 1st sensor 101 (refer FIG. 1) formed in the period to the calculation unit 8 and the analysis unit 10. As shown in FIG. For example, a plurality of first sensors 101 are formed in a cycle. Each of these plurality of first sensors 101 detects first detection data described later. The 1st input/output unit 2 is formed in the period, and inputs 1st detection data from each of these some 1st sensors 101. As shown in FIG. 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 detection data (sensor signal) included in the control data related to the control of the cycle. As such first detection data, for example, the number of revolutions of the cycle, the crank angle, the cylinder pressure, the hydraulic oil pressure, the scavenging air pressure, the temperature of the combustion gas sucked by the turbocharger of the cycle (supercharger intake temperature), the temperature of the cylinder oil, for example. and data indicating a change in the event of the control target for each control cycle of the cycle, such as pressure. In addition, the control period of a period corresponds to the execution period of arithmetic processing (real-time processing) by the arithmetic unit 8 for controlling a period, and is a period of 1/1000 second unit, for example.

The second input/output unit 3 inputs and outputs second detection data by the second sensor 102 (refer to FIG. 1 ) formed in the cycle to the analysis unit 10 . For example, two or more 2nd sensors 102 are formed in a period. Each of these plurality of second sensors 102 detects second detection data described later. The second input/output unit 3 is formed in the cycle, 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 2nd detection data by the 2nd sensor 102 is detection data (sensor signal) included in the monitoring data required for periodic monitoring. As such second detection data, for example, the temperature and pressure of exhaust gas discharged from the cylinder of the cycle, the temperature and pressure of cooling water or system oil used in the cycle, etc., a cycle longer than the control cycle of the cycle (hereinafter referred to as a long cycle) ), data showing changes in the event of the monitoring target.

The drive unit 4 is a unit for driving a cycle. In detail, the drive unit 4 is formed in a necessary number (plural in this Embodiment 1) cycle corresponding to a cylinder of a cycle. These plurality of drive units 4 operate the solenoid valve of the drive system of the cycle, respectively, based on the control signal output by the calculation unit 8 . As a solenoid valve which the drive unit 4 operates, the solenoid valve of a fuel injection system, the solenoid valve of an exhaust dynamic valve system, the solenoid valve of a cylinder oil supply system, etc. are mentioned, for example.

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

The display unit 6 displays various types of information about the ship, such as the operating state of the cycle. In detail, the display unit 6 is comprised by display devices, such as a liquid crystal display, and is provided in the engine control room of a ship. For example, the display unit 6 receives from the arithmetic unit 8 first detection data to which processing such as physical quantity conversion has been performed by the arithmetic unit 8 . Moreover, the display unit 6 receives from the calculation unit 8 the 2nd detection data to which the process of physical quantity conversion etc. was performed by the calculation unit 8 . The display unit 6 displays the first detection data and the second detection data after processing by the arithmetic unit 8 as data representing the operating state of the cycle.

The engine monitor 7 is an apparatus for monitoring the whole engine room of a ship. In detail, the engine monitor 7 is comprised by a data logger etc., and is provided in the engine control room of a ship. The engine monitor 7 receives auxiliary machine state data indicating the state of the auxiliary machine system from a sensor (not shown) or the like provided in the auxiliary machine system of the ship. The engine monitor 7 outputs the received auxiliary engine state data to the analysis unit 10 while accumulating it along time series. In addition, as an auxiliary system of a ship, for example, a pump for supplying oil (lubricating oil, fuel oil, etc.) or water to the main cycle, a filter, a generator, an auxiliary boiler, a water generator, etc. devices other than the main machine are mentioned. .

The calculation unit 8 performs calculation processing for controlling the cycle of the ship. Specifically, the arithmetic unit 8 is constituted by a memory that stores arithmetic parameters and the like, a CPU that executes a program, and the like, and is formed in a cycle. The calculation unit 8 is connected to the first input/output unit 2 , each drive unit 4 , the control unit 5 , and the analysis unit 10 so as to transmit/receive data. The arithmetic unit 8 receives the data for control from these apparatuses and units, and performs arithmetic processing (real-time processing) on the control data in real time each time. Thereby, the arithmetic unit 8 derives the control value of each drive unit 4, and outputs the control signal corresponding to the derived control value to each drive unit 4, and controls each drive unit 4 do. Moreover, when receiving a control support parameter from the analysis unit 10, the calculation unit 8 derives the above-mentioned control value in consideration of this control support parameter each time, and controls corresponding to the derived control value. By the output of the signal, the control of each drive unit 4 is corrected or limited. In parallel to the control of the cycle by such control of the drive unit 4 , the calculation unit 8 outputs, to the analysis unit 10 , calculation data that is data representing the derived control value.

Further, 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 cycle, instruction data from the control unit 5, and the like. can

Moreover, the arithmetic unit 8 can detect the abnormality which generate|occur|produced in a period by calculating-processing the 1st detection data received from each 1st sensor 101 via the 1st input/output unit 2 . The arithmetic unit 8 outputs, to the display unit 6 and the analysis unit 10 , the abnormality detection data indicating the detected abnormality of the cycle, each time detecting the abnormality of the cycle. The display unit 6 can display information indicating the abnormality of the cycle based on this abnormality detection data.

The analysis unit 10 supports the control of the cycle by analyzing the operation state of the cycle based on the control data related to the control of the cycle and the monitoring data required for monitoring the cycle. In detail, 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 formed in a cycle.

The interface 11 is a data input/output interface for the analysis unit 10 to call out at least one data (hereinafter referred to as data for analysis) among the data for control and monitoring of the period. Specifically, the interface 11 receives the period control data from the first input/output unit 2, the steering device 5 and the arithmetic unit 8, and the second input/output unit 3 and the engine monitor 7 It receives data for monitoring cycle from For example, the interface 11 receives from the first input/output unit 2 the first detection data by each first sensor 101 of the cycle as data for control of the cycle, and receives instruction data for steering the vessel. It receives from the steering device 5, and receives from the arithmetic unit 8 the calculation data at the time of period control, abnormality detection data of a period, etc. In addition, the interface 11 receives, from the second input/output unit 3 , the second detection data by each second sensor 102 of the cycle, as data for monitoring of the cycle, and auxiliary device state data indicating the state of the auxiliary device system. is received from the engine monitor (7).

Data for period control that is loaded into the analysis unit 10 via the interface 11, for example, data indicating the control state of the period, data indicating the control event of the period, and arithmetic processing at the time of period control data and the like.

Specifically, as data indicating the control state of the cycle, for example, the number of revolutions (the number of revolutions of the output shaft), the load (engine load), the fuel input amount, the scavenging air pressure, the supercharger intake temperature, the fuel injection angle, the fuel injection period, Operation amount of fuel injection pump, exhaust valve opening/closing angle, exhaust valve operation amount, cylinder oil temperature and pressure, cylinder oil amount, cylinder oiling angle, lubricant operation amount, cylinder pressure, hydraulic oil pressure, hydraulic oil pump operation amount, Parameters, such as a pouring yield, a watering quantity, and an EGR rate, are mentioned. Further, examples of the data indicating the control state of the cycle include a parameter indicating the valve opening/closing state of the exhaust system in the cycle, a parameter indicating the valve opening/closing state of the scavenging system in the cycle, and the like.

As data representing the control event of the cycle, for example, a parameter representing the start or stop of the cycle, a parameter representing the operation mode of the cycle, abnormality detection data of the cycle, and the like can be given. Moreover, as data regarding the arithmetic process at the time of period control, set values, such as a weighting coefficient of arithmetic processing performed by the arithmetic unit 8, arithmetic result (calculation data), etc. are mentioned, for example.

In addition, as the monitoring data of the cycle brought into the analysis unit 10 via the interface 11, for example, data indicating the performance of the cycle, data indicating the state of the constituent parts of the cycle, and related to the auxiliary system data and the like.

Specifically, as data indicating the performance of the cycle, for example, the temperature and pressure of exhaust gas, temperature and pressure of system oil, temperature and pressure of cooling water, temperature and pressure of intake air, temperature and pressure of scavenging air, etc. can be heard In addition, as data indicating the state of the component parts of the machine, for example, the bearing temperature and wear amount of the machine, the temperature and wear amount of the cylinder liner, the moisture concentration of the system oil, the iron content concentration of the cylinder drain, the Numerical values calculated from vibration and sound, inspection images, etc. are mentioned. Moreover, as data regarding an auxiliary machine system, the parameter which shows the property of the oil or water flow supplied from an auxiliary machine system|strain in a cycle, the parameter which shows the state of an auxiliary machine system, etc. are mentioned, for example.

The data processing unit 12 analyzes the operating state of the cycle and executes data processing and the like for supporting control of the cycle. Specifically, the data processing unit 12 is constituted by a memory for storing operation parameters and a CPU for executing a program, and as shown in FIG. 1 , a first processing area in which data processing related to cycle control is executed. and (13) and a second processing region 14 in which data processing independent of cycle control is executed.

In the 1st processing area|region 13, as shown in FIG. 1, the 1st hydraulic model 13b is set. The first hydraulic model 13b is a hydraulic model simulating a cycle. For example, as the hydraulic model for simulating the cycle, a hydraulic model for simulating (reproducing) the operation of the cycle, a hydraulic model representing the state of the cycle, and a hydraulic model for predicting the state of the cycle are mentioned. Moreover, the data processing part 12 has the 1st pre-processing part 13a and the 1st post-processing part 13c in the 1st processing area|region 13. The 1st preprocessing part 13a converts the data for analysis called in by the analysis unit 10 into the data of the form processable by the 1st hydraulic 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 1st processing area|region 13, the data processing part 12 processes the data for analysis mentioned above with the 1st hydraulic model 13b. Thereby, in the first processing area 13 , a control support parameter for supporting the control of the cycle is derived.

In the 2nd processing area|region 14, as shown in FIG. 1, the 2nd hydraulic model 14b is set. The second hydraulic model 14b is a hydraulic model simulating a cycle, and is a candidate for a hydraulic model applied as the above-described first hydraulic model 13b. Moreover, the data processing part 12 has the 2nd pre-processing part 14a and the 2nd post-processing part 14c in the 2nd processing area|region 14. The 2nd preprocessing part 14a converts the data for analysis which is called in by the analysis unit 10 and accumulated along time series into data of a format processable by the 2nd 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 region 14, the test processing of the second hydraulic model 14b is executed independently of the cycle control based on the analysis data accumulated along the time series described above.

The model processing unit 15 executes the processing of the first hydraulic model 13b involved in the control of the cycle and the processing of the second hydraulic model 14b that is subjected to test processing independently of the control of the cycle. In detail, the model processing unit 15 is constituted by a memory that stores an operation parameter, a CPU that executes a program, and the like. The model processing unit 15 calculates the wettability of the second hydraulic model 14b based on the result of the test processing of the second hydraulic model 14b in the second processing region 14 . Moreover, in the memory 16 of the analysis unit 10, the reference wetness degree used as the determination standard of the wetness degree of the 2nd hydraulic model 14b is previously stored. This reference wetness level is appropriately read from the memory 16 by the model processing unit 15 . The model processing unit 15 determines whether the wetness level of the calculated second hydraulic model 14b is equal to or greater than the reference wetness level. When the wetness level of the second hydraulic model 14b calculated by the model processing unit 15 is equal to or greater than the reference wetness level, the second hydraulic model 14b is converted into the first processing area 13 by the model processing unit 15 . ) is applied as the first hydraulic model 13b of . When the calculated wetness level of the second hydraulic model 14b is less than the reference wetness level, in the second processing area 14, the model processing unit 15 performs test processing on the second hydraulic model 14b. run again

The memory 16 stores and accumulates various data such as data for analysis that the analysis unit 10 has called in. In detail, the memory 16 is comprised by the nonvolatile storage device etc. exemplified by a hard disk device. The memory 16 sequentially receives, via the interface 11, data for analysis that is at least one of the data for control and the data for monitoring of the cycle described above, and an index for classifying the data for the received analysis data. and a timestamp indicating chronological order. And the memory 16 stores these data for analysis according to an index, and accumulates it along time series as time series data.

Moreover, the memory 16 stores model data groups, such as a numerical formula for generating a hydraulic model. In the first embodiment, the model data group includes model data used for the first hydraulic model 13b and model data used for the second hydraulic model 14b. These model data are classified for each mathematical model by, for example, giving an index. In particular, the memory 16 gives an index indicating the wettability of the second hydraulic model 14b by the test process to the model data of the second hydraulic model 14b, and converts the model data to the second repair It is stored in correspondence with the wetness level of the model 14b. Moreover, the memory 16 stores the data (henceforth test result data) which shows the test process result of the 2nd hydraulic model 14b.

The control unit 18 controls each of the constituent units constituting the analysis unit 10 . Specifically, the control unit 18 is constituted by a CPU or the like that executes a program, and is input/output of data between the interface 11 , the data processing unit 12 , the model processing unit 15 , and the memory 16 . to control Moreover, the control part 18 controls each operation|movement of the data processing part 12, the model processing part 15, and the memory 16 mentioned above. In addition, although the data processing part 12 and the model processing part 15 are set as the hardware structure, it is not limited to this, You may implement|achieve by the software structure based on the program execution of the control part 18. FIG. 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 are included in the control unit 18 as one functional unit of the control unit 18 . it may be

The cycle control system 1 having the above-described configuration controls each of the plurality of drive units 4 formed in the cycle based on the result of the calculation processing by the calculation unit 8 . Thereby, the cycle control system 1 performs various control of cycle, such as rotation speed control of a cycle, fuel injection control accompanying this, exhaust valve operation control, hydraulic oil pressure control, and cylinder oil supply control.

Specifically, in the cycle control system 1 shown in FIG. 1 , the arithmetic unit 8 acquires, from the steering device 5 , instruction data instructing the target rotation speed of the cycle, start or stop, and the like. Moreover, the arithmetic unit 8 acquires the 1st detection data detected by each of the some 1st sensor 101 via the 1st 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 whenever the first detection data is acquired, for example, in a period of 1/1000 second. do. Thereby, the calculation unit 8 derives, in real time, a control value for determining the operation amount (manipulation amount) of the drive unit 4 to be controlled, and transmits a control signal corresponding to the derived control value to the drive unit ( 4) is output to In this way, the arithmetic unit 8 controls each of the plurality of drive units 4 .

Moreover, the arithmetic unit 8 controls the drive unit 4 mentioned above, and monitors the driving state of a cycle. For example, when the first detection data acquired via the first input/output unit 2 is data indicating an abnormality in the cycle, the arithmetic unit 8 determines occurrence of abnormality in the cycle based on the first detection data. detect Alternatively, when the second detection data acquired via the second input/output unit 3 is data indicating abnormality in the cycle, the calculation unit 8 detects occurrence of abnormality in the cycle based on the second detection data. . Then, the arithmetic unit 8 outputs the arithmetic data and abnormality detection data by the real-time process mentioned above to the analysis unit 10 as a part of the data for period control and monitoring data.

In parallel to the control of the cycle described above, the analysis unit 10 calculates the operating state of the cycle based on at least one of the control data and the monitoring data sequentially retrieved from the arithmetic unit 8 or the like along the time series. Analyze to support cycle control.

Specifically, in the first processing region 13 of the analysis unit 10 , the first pre-processing unit 13a reads data necessary for supporting the control of the period from among the time series data accumulated in the memory 16 . take in As said data, the data group etc. which contain the latest control data and monitoring data among time series data are mentioned, for example. More specifically, the first preprocessing unit 13a extracts and reads a plurality of control data including the latest control data from the time series data so that the time interval of each data becomes equal to the control cycle of the cycle. . Further, the first preprocessing unit 13a thins out a plurality of monitoring data including the latest monitoring data from among the time series data so that the time interval of each data is longer than the control cycle of the cycle (to become a long cycle). Read it or take it out. The 1st pre-processing part 13a converts the read data into the data of the format which can be processed by the 1st hydraulic model 13b, and outputs the data after a conversion process to the 1st hydraulic model 13b.

The 1st hydraulic model 13b processes the data group received from the 1st pre-processing part 13a collectively, and, by this, derives the data which shows the operating state of the period which added the marine operation of the ship up to the present point. Hereinafter, batch data processing for data groups along the time series in this way is referred to as batch processing. The first post-processing unit 13c receives and processes the data derived by the first hydraulic model 13b, thereby deriving a control support parameter for contributing to the optimization or preventive maintenance of the operating state of the cycle. Examples of the control support parameter include the amount of operation of the drive unit 4 for reducing the fuel consumption of the cycle, an index indicating abnormality in the operating state of the cycle, the failure probability of the component parts of the cycle, 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 assistance 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 assistance parameter, and the control value after correction A control signal corresponding to n is output to each driving unit 4 . Thereby, the calculation unit 8 controls each drive unit 4 in consideration of the maritime operation of the ship up to the present time. Alternatively, the arithmetic unit 8 derives the above-described control value by taking into account the operating state of the cycle indicated by the control support parameter and the failure probability of the component, and adds the control value to the control signal corresponding to the derived control value. Each drive unit 4 is controlled by In this way, the calculation unit 8 optimizes and limits the control of the cycle, thereby contributing to the optimization and preventive maintenance of the operating state of the cycle. As mentioned above, the calculation unit 8 controls the optimal period suitable for each ship's individual marine operation.

On the other hand, in the cycle control system 1 described above, the analysis unit 10 executes data processing (batch processing) for putting the second hydraulic model 14b into practical use independently of the control of the cycle. It is a flowchart which shows an example of the practical use method of the hydraulic model in Embodiment 1 of this invention.

In the method of practical use of the second hydraulic model 14b in the first embodiment, the analysis unit 10 (refer to FIG. 1 ), as shown in FIG. 2 , converts period control data and monitoring data into time series. and accumulates accordingly (step S101). In step S101, the memory 16 sequentially receives the data for period control and the data for monitoring via the interface 11. As shown in FIG. The memory 16 categorizes the received control data and monitoring data according to types of data by providing indexes and time stamps, etc., and accumulates them as time series data along time series.

Next, the analysis unit 10 executes a test process of the second hydraulic model 14b as a test target (step S102). In step S102, first, the model processing part 15 makes the 2nd hydraulic model 14b learn the operation|movement of the period in which the sea operation of each ship was taken into account by methods, such as machine learning. At this time, in the second processing region 14 of the data processing unit 12 , the second preprocessing unit 14a is necessary for learning the second mathematical model 14b from among the time series data accumulated in the memory 16 . Read teacher data. As this teacher data, the data group etc. for a predetermined period including the latest control data and monitoring data among the said time series data are mentioned, for example. The second preprocessing unit 14a extracts and reads the control data group for a predetermined period including the latest control data from the time series data so that the time interval of each data becomes the same as the control cycle of the cycle. In addition, the second preprocessing unit 14a thins out 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 becomes longer than the control period of the period. read in The second preprocessing unit 14a converts the read teacher data into data of a format that can be processed by the second mathematical model 14b, and outputs the teacher data after the conversion processing to the second mathematical model 14b. The 2nd hydraulic model 14b processes the teacher data received from the 2nd pre-processing part 14a sequentially along a time series, and by this, learns the operation|movement of the period which added the maritime operation of a ship.

Moreover, in step S102, the model processing part 15 performs a test process with respect to the 2nd hydraulic model 14b after a learning process. At this time, the 2nd preprocessing part 14a reads the test data required for the operation test of the 2nd hydraulic model 14b from the time series data accumulate|stored in the memory 16. Examples of the test data include, among the time series data, a data group for a predetermined period including data for control and data for monitoring used for deriving a control support parameter of a period, and the like. The second preprocessing unit 14a selects, among the time series data, a control data group for a predetermined period including control data used for derivation of the control support parameter of the period, the time interval of each data being the same as the control period of the period Extract it and read it to make it happen. In addition, the second preprocessing unit 14a selects, from the time series data, a monitoring data group for a predetermined period including monitoring data used for derivation of the control support parameter of the period, the time interval of each data being the period of the period. It is read by thinning it out so that it becomes longer than the control period. The 2nd pre-processing part 14a converts the read test data into the data of the format processable by the 2nd hydraulic model 14b, and outputs the test data after a conversion process to the 2nd hydraulic model 14b. The 2nd hydraulic model 14b processes the test data received from the 2nd pre-processing part 14a collectively, and, thereby, derives the simulation data which shows the simulation result of the operation state of the period which added the marine operation of a ship. The second post-processing unit 14c receives and processes the simulation data derived by the second hydraulic model 14b, and thereby derives the simulation parameters representing the simulation results of the derivation of the control support parameters described above.

The test result data indicating the result of the test processing is transferred from each of the second pre-processing unit 14a, the second hydraulic model 14b, and the second post-processing unit 14c to the model processing unit 15 and the memory 16. is output The test data after the conversion process by the 2nd pre-processing part 14a, the simulation data by the 2nd hydraulic model 14b, and the simulation parameter by the 2nd post-processing part 14c are contained in this test result data.

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

Specifically, the model processing unit 15 includes test data outputted from the second pre-processing unit 14a as test result data indicating the results of the test processing for the second hydraulic model 14b, and the second hydraulic model ( The simulation data output from 14b) and the simulation parameters output from the second post-processing unit 14c are acquired. The model processing part 15 calculates the wettability of the 2nd hydraulic model 14b after a test process based on these acquired data. The familiarity level is, for example, an index indicating the learning level of the second hydraulic model 14b for the operation of the cycle in which the maritime operation of the ship is added, and according to the correct rate of the test processing for the second hydraulic model 14b, etc. increase or decrease The model processing unit 15 outputs to the memory 16 wetness level data indicating the calculated wetness level.

After the execution of step S103 , the analysis unit 10 collects data regarding the test processing of the second hydraulic model 14b (step S104 ). In step S104, the memory 16 accepts the test data from the second pre-processing unit 14a, the simulation data from the second hydraulic model 14b, and the simulation parameters from the second post-processing unit 14c, , these data are stored as test result data of the second hydraulic model 14b. In addition, the memory 16 receives, from the model processing unit 15, the wetness data of the second hydraulic model 14b, and model data such as formulas constituting the second hydraulic model 14b from which the wetness was calculated. take in The memory 16 stores the test result data and the wetness data in correspondence with the above-described test result data, and gives the model data an index indicating the current wetness of the second hydraulic model 14b to the model data. is stored as model data of the second hydraulic model 14b.

After the execution of step S104 , the analysis unit 10 executes the determination processing of the wetness level of the second hydraulic model 14b (step S105 ). In step S105, the model processing unit 15 compares the wetness R of the second hydraulic model 14b calculated in the above-described step S103 with a preset reference wetness Ra, and the wetness (Ra) It is determined whether R) is equal to or greater than the reference wetness (Ra). When this wetness R is equal to or higher than the reference wetness Ra (step S105, Yes), the model processing unit 15 uses the second hydraulic model 14b having this wetness R to control the cycle. It is applied as the first hydraulic model 13b of the involved first processing region 13 (step S106).

In step S106, the model processing unit 15 reads, from the memory 16, model data constituting the second hydraulic model 14b having a wetness R level equal to or greater than the reference wetness level Ra from the memory 16, and the read model A first hydraulic model 13b is generated from the data. Moreover, the memory 16 stores (updates) the model data of the 2nd hydraulic model 14b which has the wetness degree R as model data of the 1st hydraulic model 13b which were generated above.

For example, in the first processing region 13 involved in the control of the cycle, the first hydraulic model 13b generated based on the result of the operation simulation of the cycle or the like is initially set in advance. The model data of the first hydraulic model 13b of this initial setting is updated with the model data of the second hydraulic model 14b having a wetness R equal to or higher than the reference wetness Ra. Alternatively, in the initial stage of the cycle control system 1 , the first hydraulic model 13b is not set in the first processing region 13 , and the second repair having a wetness degree R equal to or higher than the reference wetness degree Ra. Based on the model data of the model 14b , the first hydraulic model 13b may be generated in the first processing region 13 .

In addition, the 2nd hydraulic model 14b in this Embodiment 1 is preset in the 2nd processing area|region 14 of the analysis unit 10 at the time of manufacture of the period control system 1 etc.. Such a second hydraulic model 14b may be a hydraulic model of the same kind as that of the first hydraulic model 13b, or may be a hydraulic model in which the function of the first hydraulic model 13b is expanded.

After execution of step S106, the analysis unit 10 returns to step S101 mentioned above, and repeats the process after this step S101. Moreover, in step S105 mentioned above, when the wetness R of the 2nd hydraulic model 14b is less than the reference wetness degree Ra (step S105, NO), the analysis unit 10 performs the above-mentioned step It returns to S101, and the process after this step S101 is repeated.

As described above, in the period control system 1 according to the first embodiment of the present invention, the arithmetic unit 8 which performs arithmetic processing for controlling the period of the ship, and among the period control data and monitoring data The analysis unit 10 supporting the control of the cycle by analyzing the driving state of the cycle based on the at least one data for analysis is formed, and the analysis unit 10 is a first capable of processing data related to the control of the cycle. It is configured to include a processing region 13 and a second processing region 14 capable of processing data independently of cycle control. Further, in the first processing area 13, a first hydraulic model 13b simulating a cycle is set, and the data for analysis is processed with the first hydraulic model 13b to derive a control support parameter of the cycle. are doing In the second processing area 14, a second hydraulic model 14b, which is a candidate for the hydraulic model applied as the first hydraulic model 13b, is set, and based on the analysis data (time series data) accumulated along the time series , so that the test processing of the second hydraulic model 14b is executed independently of the control of the cycle.

With the above configuration, the real-time operation of the calculation unit 8 is performed while the calculation unit 8 executes, for example, the calculation processing (real-time processing) of a short period in units of 1/1000 second required for the control of the cycle. Test processing can be executed on the second hydraulic model 14b in the second processing area 14 by batch processing (batch processing) using the time series data with a longer period than the control period of the period without being limited by processing there is. For this reason, the practicality of the 2nd hydraulic model 14b with respect to the control of the cycle in which the marine operation of each ship was added can be improved, without impairing the control of the said engine, performing control of the cycle for this reason. Thereby, the 2nd hydraulic model 14b which improved the said practicability can be simply applied as the 1st hydraulic model 13b which can contribute to cycle control support. As a result, it is possible to perform optimal control of the cycle for each ship's individual maritime operation.

In particular, when the second hydraulic model 14b is a hydraulic model of the same type as that of the first hydraulic model 13b, by applying the second hydraulic model 14b with improved practicality as the first hydraulic model 13b, the cycle It is possible to optimize the first hydraulic model 13b according to the operation policy or purpose of the . Moreover, when the 2nd hydraulic model 14b is made into the hydraulic model which expanded the function of the 1st hydraulic model 13b, by applying the 2nd hydraulic model 14b with improved practicality as the 1st hydraulic model 13b, , after extending the function of the first hydraulic model 13b regarding the control support of the cycle, it is possible to optimize the first hydraulic model 13b according to the operation policy or purpose of the cycle. In any of the above cases, it is possible to realize the first hydraulic model 13b that is optimal for the control support of the cycle in consideration of the maritime operation of individual ships.

In addition, in the period control system 1 according to the first embodiment of the present invention, the model processing unit 15 calculates and calculates the wetness R of the second hydraulic model 14b by the test processing. It is determined whether the wetness degree R is equal to or more than the reference wetness degree Ra. For this reason, when the wetness R of the second hydraulic model 14b is equal to or greater than the reference wetness Ra or more, the second hydraulic model 14b can be quickly applied as the first hydraulic model 13b without effort. In addition, when the wetness R of the second hydraulic model 14b is less than the reference wetness Ra, the above-mentioned test processing can be quickly and effortlessly repeated for the second hydraulic model 14b.

(Embodiment 2)

Next, a cycle control system according to a second embodiment of the present invention will be described. Fig. 3 is a block diagram showing a configuration example of a cycle control system according to a second embodiment of the present invention. 3 , the cycle control system 1A according to the second embodiment includes an analysis unit 20 instead of the analysis unit 10 of the cycle control system 1 according to the first embodiment described above. and a model designation unit 21 is further provided. The analysis unit 20 includes a data processing unit 22 instead of the data processing unit 12 of the analysis unit 10 in the first embodiment described above, and a model processing unit 25 instead of the model processing unit 15 . A memory 26 is provided instead of the memory 16 , and a control unit 28 is provided instead of the control unit 18 . Moreover, in this data processing part 22, the 1st hydraulic model 23b is set in the 1st processing area|region 13 instead of the 1st hydraulic model 13b in Embodiment 1, and the 2nd processing area|region. In (14), the second hydraulic model 24b is set instead of the second hydraulic model 14b in the first embodiment. Other structures are the same as those of the first embodiment, and the same reference numerals are assigned to the same constituent parts.

The model designation unit 21 is a unit for designating the second repair model 24b to be tested. In detail, the model designation unit 21 is a portable unit comprised by the combination of an input device and a display device (workstation etc.), or a touch panel apparatus etc., for example. The model designation unit 21 is connected so as to be capable of inputting and outputting data to and from the analysis unit 20 at an arbitrary timing. The model designating unit 21 selectably displays the candidates of the plurality of hydraulic models, and outputs, to the analysis unit 20 , designation data of the hydraulic model selected from among the candidates of the plurality of hydraulic models according to the user's operation . Thereby, the model designation unit 21 designates the second hydraulic model 24b to be tested to the analysis unit 20 . In the analysis unit 20 of the second embodiment, the same test processing as in the first embodiment is performed on the second hydraulic model 24b designated by the model designation unit 21 . In addition, model data of a plurality of hydraulic models that are candidates for the second hydraulic model 24b may be stored in the memory 26 of the analysis unit 20, and are stored in the internal memory of the model designation unit 21. It may be stored.

In the analysis unit 20 of the second embodiment, the setting function of the first hydraulic model 23b of the first processing region 13 capable of data processing by participating in the control of the cycle and independent of the control of the cycle The setting function of the second hydraulic model 24b of the second processing region 14 capable of data processing is different from that of the first embodiment. The functions of the analysis unit 20 are the same as those of the first embodiment except for the setting functions of the first hydraulic model 23b and the second hydraulic model 24b.

In detail, as shown in FIG. 3, the data processing part 22 is the 1st hydraulic model 23b in the 1st processing area|region 13 involved in cycle control, and the 1st preprocessing similar to Embodiment 1 It has a part 13a and a 1st post-processing part 13c. The first hydraulic model 23b is a hydraulic model simulating a cycle, and is generated by the same model data as the second hydraulic model 24b in which the wetness R is raised to a reference wetness Ra or higher by test processing. is becoming That is, the first hydraulic model 23b is a hydraulic model originally designated by the model designation unit 21, and a hydraulic model in which the familiarity with the operation of the cycle in consideration of the marine operation of the ship is raised to a practical level for cycle control. am.

Moreover, as shown in FIG. 3, the data processing part 22 is a 2nd hydraulic model 24b in the 2nd processing area|region 14 in which data processing independent of period control is possible, and is similar to the first embodiment. It has 2 pre-processing part 14a and the 2nd post-processing part 14c. The second hydraulic model 24b is a hydraulic model simulating a cycle and is a candidate for a hydraulic model applied as the above-described first hydraulic model 23b. In the second embodiment, the second repair model 24b is a repair model selectably designated by the model designation unit 21 from among a plurality of repair models stored in the memory 26 or the like.

The model processing unit 25 executes the processing of the first hydraulic model 23b involved in the control of the cycle and the processing of the second hydraulic model 24b that is subjected to the test process independently of the control of the cycle. Specifically, the model processing unit 25 transfers the hydraulic model specified by the model designation unit 21 to the second processing area 14 of the data processing unit 22 as the second hydraulic model 24b to be tested. set The model processing unit 25 executes the test processing, the wetness level calculation processing, and the wetness level determination processing on the second hydraulic model 24b in the same manner as in the first embodiment. In addition, the model processing unit 25 applies the second hydraulic model 24b, in which the wetness R is higher than the reference wetness Ra or higher, as the first hydraulic model 23b in the first processing area 13 . do.

The memory 26 stores a model data group such as an equation for generating a mathematical model. In the second embodiment, the memory 26 includes the first hydraulic model ( 23b) and a plurality of model data (hereinafter referred to as non-attribute model data) such as numerical formulas that are not used in any of the second mathematical model 24b are stored as a model data group. In the memory 26, when a hydraulic model is designated by the model designation unit 21, the model data used for generation of the designated hydraulic model is assigned to the second hydraulic model 24b by indexing or the like in the same manner as in the first embodiment. ) as model data for classification and storage. In this case, the model data group includes model data used for the second hydraulic model 24b and model data without attributes.

In addition, the memory 26 is the first hydraulic model 23b when the second hydraulic model 24b whose wetness R is increased to be equal to or higher than the reference wetness Ra is applied as the first hydraulic model 23b. The model data applied to is classified as model data of the first hydraulic model 23b by providing or updating an index and stored. In this case, the model data group includes model data used for the first hydraulic model 23b and model data without attributes. In addition, the memory 26 has the first hydraulic model 23b set in the first processing region 13 and the second hydraulic model 24b set in the second processing region 14, Each model data of the first hydraulic model 23b and the second hydraulic model 24b is classified into the model data of the first hydraulic model 23b and the model data of the second hydraulic model 24b by assigning or updating an index, etc. to contain it In this case, the model data group includes model data used for the first hydraulic model 23b, model data used for the second hydraulic model 24b, and non-attribute model data. In addition, the memory 26 is comprised by the nonvolatile storage device etc. which are illustrated by the hard disk device, and stores and accumulates data other than the model data group mentioned above similarly to Embodiment 1. FIG.

The control unit 28 controls each of the constituent units constituting the analysis unit 20 . Specifically, the control unit 28 acquires the designation data output by the model designation unit 21 via the interface 11 , and based on the designation data, is designated by the model designation unit 21 . The model processing unit 25 is controlled to set (generate) the second hydraulic model 24b in the second processing area 14 . In addition, the control part 28 has the function similar to Embodiment 1 mentioned above other than the function which controls the setting of this 2nd hydraulic model 24b. In addition, the data processing part 22 and the model processing part 25 mentioned above may be implemented by the software configuration based on the program execution of the control part 28, and may be implement|achieved by the 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 are included in the control unit 28 as one functional unit of the control unit 28 . it may be

In addition, in the control of the cycle by the cycle control system 1A, the first hydraulic model 13b in the first embodiment described above is replaced by the first hydraulic model 23b in the second embodiment, and control is performed. Support parameters are derived. The cycle control by the cycle control system 1A is implemented similarly to the first embodiment described above, except that the first hydraulic model 23b is used.

On the other hand, in the period control system 1A, the analysis unit 20 performs data processing (batch processing) for practical use of the second hydraulic model 24b specified by the model designation unit 21, the period control and runs independently. It is a flowchart which shows an example of the practical use method of the hydraulic model in Embodiment 2 of this invention.

In the practical application method of the second hydraulic model 24b according to the second embodiment, the analysis unit 20 (refer to FIG. 3 ) determines whether or not the hydraulic model is specified as shown in FIG. 4 (step S201). In step S201 , the control unit 28 determines whether a repair model has been specified by the model designation unit 21 . Specifically, when the control unit 28 acquires the designation data of the hydraulic model from the model designation unit 21 via the interface 11, the hydraulic model is designated by the acquired designation data (with designation of the hydraulic model) ) is judged to be On the other hand, when the designation data from this model designation unit 21 is not acquired, the control part 28 determines with no designation of a hydraulic model.

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

In step S202 , based on the designation data from the model designation unit 21 , the control unit 28 sets the repair model indicated in the designated data as the second hydraulic model 24b to be tested as the second processing area. The model processing unit 25 and the memory 26 are controlled so as to generate in (14). The memory 26 stores, under the control of the control unit 28, model data necessary for generation of the hydraulic model indicated by the specified data among the non-attribute model data included in the model data group, the second hydraulic model ( 24b), an index indicating that it is the model data is given and stored. The number of model data necessary for generation|generation of the said hydraulic model may be one, and a plurality may be sufficient as it. The model processing unit 25 reads from the memory 26 the model data to which the index indicating the designated second hydraulic model 24b was attached with reference to the index attached to each model data of the model data group. The model processing unit 25 generates this second hydraulic model 24b in the second processing area 14 based on the read model data.

After execution of step S202, the analysis unit 20 accumulates data for analysis, which is at least one of data for period control and data for monitoring, along time series (step S203). In step S203, the memory 26 classifies the data for analysis received via the interface 11 according to the type of data, similarly to step S101 (refer to FIG. 2) in the first embodiment described above. In addition, as time series data, it is accumulated along the time series.

After the execution of step S203 , the analysis unit 20 executes the test processing of the second hydraulic model 24b as the test target (step S204 ). In step S204, the model processing unit 25 performs the operation of the cycle in which the individual marine operation of each ship is taken into account, similarly to step S102 (refer to FIG. 2) in the first embodiment described above, the second hydraulic model 24b). is learned, and a test process is executed on the second mathematical model 24b after this learning process. Test result data indicating the result of this test processing is transferred from each of the second pre-processing unit 14a, the second hydraulic model 24b, and the second post-processing unit 14c to the model processing unit 25 and the memory 26. is output

After execution of step S204, the analysis unit 20 executes the wetness level calculation processing of the second hydraulic model 24b (step S205). In step S205, the model processing part 25 calculates the wettability of the 2nd hydraulic model 24b similarly to step S103 (refer FIG. 2) in Embodiment 1 mentioned above. The model processing unit 25 outputs to the memory 26 wetness level data indicating the calculated wetness level.

After the execution of step S205, the analysis unit 20 collects data regarding the test processing of the second hydraulic model 24b (step S206). In step S206, the memory 26 associates the test result data of the 2nd hydraulic model 24b with the wetness data and stores it similarly to step S104 (refer FIG. 2) in Embodiment 1 mentioned above. Together with the storage, model data of the second hydraulic model 24b is stored.

After execution of step S206 , the analysis unit 20 executes the determination processing of the wetness degree of the second hydraulic model 24b (step S207 ). In step S207, the model processing unit 25 calculates the wetness R of the second hydraulic model 24b calculated in step S205 in the same manner as in step S105 (refer to FIG. 2) in the first embodiment described above. It is determined whether is equal to or greater than the reference wetness level (Ra). When this wetness R is equal to or higher than the reference wetness Ra (step S207, YES), the model processing unit 25 uses the second hydraulic model 24b having this wetness R to control the cycle. It is applied as the first hydraulic model 23b of the involved first processing region 13 (step S208).

In step S208, the model processing unit 25 is a second hydraulic model having a wetness degree R equal to or greater than the reference wetness degree Ra, similarly to step S106 (refer to FIG. 2) in the first embodiment described above. A first hydraulic model 23b is generated from the model data in (24b). In addition, the memory 26 stores (updates) the model data of the second hydraulic model 24b having the wetness R level as model data of the generated first hydraulic model 23b.

For example, in the first processing region 13 involved in cycle control, the first hydraulic model 23b is not set in the initial stage, and has a wetness R greater than or equal to the reference wetness Ra. Based on the model data of the second hydraulic model 24b , the first hydraulic model 23b is generated in the first processing region 13 .

Moreover, in this Embodiment 2, the 2nd hydraulic model 24b is a hydraulic model designated by the model designation unit 21, and is set in the 2nd processing area|region 14 when it is designated. Such a second hydraulic model 24b may be a hydraulic model of the same kind as that of the first hydraulic model 23b, or may be a hydraulic model in which the function of the first hydraulic model 23b is expanded.

After the execution of step S208, the analysis unit 20 returns to the above-described step S201, and repeats the processing after this step S201. Moreover, in step S207 mentioned above, when the wetness R of the 2nd hydraulic model 24b is less than the reference wetness degree Ra (step S207, NO), the analysis unit 20 performs the above-mentioned step It returns to S203, and the process after this step S203 is repeated.

On the other hand, in the above-mentioned step S201, when the designation of the repair model by the model designation unit 21 is not performed (step S201, NO), the analysis unit 20 is the 2nd repair model used as a test object. The presence or absence of (24b) is judged (step S209).

In step S209, the model processing unit 25 refers to the model data group stored in the memory 26, and determines whether the model data of the second hydraulic model 24b is included in the model data group. . The presence or absence of this 2nd hydraulic model 24b can be judged based on the index attached to model data, for example. The model processing unit 25 determines that the second hydraulic model 24b does not exist in the second processing area 14 when the model data of the second hydraulic model 24b is not included in the model data group. In this case (step S209, NO), the analysis unit 20 returns to the above-mentioned step S201, and repeats the processing after this step S201. On the other hand, in step S209, when the model data of the second hydraulic model 24b is included in the model data group, the model processing unit 25 stores the second hydraulic model 24b in the second processing area 14. judge that there is In this case (step S209, YES), the analysis unit 20 proceeds to step S203 described above, and repeats the processing after step S203.

As described above, in the period control system 1A according to the second embodiment of the present invention, the second repair model 24b to be tested is designated by the model designation unit 21, and the designated second repair model (24b) is generated in the second processing area 14 of the data processing unit 22, and the rest is configured in the same manner as in the first embodiment. For this reason, while enjoying the same effect as that of Embodiment 1 mentioned above, the 2nd hydraulic model 24b used as a test object can be freely designated according to the marine operation of individual ships, This designated 2nd hydraulic model It can be applied as the first hydraulic model 23b that can increase the practicality (wetness R) of the 24b and contribute to the control support of the cycle. As a result, the range of user flexibility of the cycle control system that can perform optimal control of the cycle for each ship's individual maritime operation is widened, and an opportunity for new value creation with ship users and shipbuilding partners, etc. can increase

Further, in the first and second embodiments described above, one first hydraulic model capable of contributing to cycle control support was set in the first processing region involved in cycle control, but the present invention is limited to this it's not going to be For example, a plurality of first hydraulic models may be generated in the first processing region, and the control of the cycle may be supported using the plurality of first hydraulic models.

Further, in the first and second embodiments described above, one second hydraulic model to be tested is set in the second processing area in which data processing can be performed independently of cycle control, but the present invention does not It is not limited. For example, a plurality of second hydraulic models may be generated in the second processing area, and practicability test processing with respect to the first hydraulic model may be executed for each of the plurality of second hydraulic models.

Further, in the first and second embodiments described above, when the wetness R of the second hydraulic model is equal to or higher than the reference wetness Ra or higher, the second hydraulic model is automatically converted into the first processing area by the model processing unit. Although it was applied as 1 hydraulic model, this invention is not limited to this. For example, the wetness level R of the second hydraulic model is displayed on a display device such as the display unit 6 so that the user can visually recognize it, and according to the displayed wetness level R, the user enters an input unit (not shown) may be operated, and the second hydraulic model may be manually applied as the first hydraulic model of the first processing region by operation of the input unit.

In addition, in the above-described embodiments 1 and 2, various data in the analysis unit, such as data for analysis loaded into the analysis unit and data of the processing result derived by the analysis unit, are stored in the memory of the analysis unit, This invention is not limited to this. For example, an apparatus such as a workstation may be connected to the analysis unit, a copy of data stored in the memory of the analysis unit may be stored in the apparatus, and a copy of the obtained data may be accumulated in an external data collection device.

In addition, this invention is not limited by Embodiment 1 and 2 mentioned above. What was comprised by combining each component mentioned above suitably is also included in this invention. In addition, other embodiments, examples, operating techniques, etc. made by those skilled in the art based on the first and second embodiments described above are all included in the scope of the present invention.

1, 1A: cycle control system
2: first input/output unit
3: second input/output 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: first processing area
13a: first preprocessor
13b, 23b: first repair model
13c: first post-processing unit
14: second processing area
14a: second preprocessor
14b, 24b: 2nd repair model
14c: second post-processing unit
15, 25: model processing unit
16, 26: memory
18, 28: control unit
21: model designation unit
101: first sensor
102: second sensor

Claims (6)

an arithmetic unit that performs arithmetic processing for controlling the cycle of the vessel;
An analysis unit supporting control of the cycle by analyzing the operating state of the cycle based on at least one of control data related to the control of the cycle and monitoring data required for monitoring the cycle
to provide
The analysis unit is
A first hydraulic model simulating the cycle is set, and at least one of the control data and the monitoring data is processed with the first hydraulic model to derive a control support parameter for supporting the control of the cycle processing area;
A second hydraulic model, which is a candidate for a hydraulic model applied as the first hydraulic model, is set, and based on at least one of the control data and the monitoring data accumulated along a time series, the second hydraulic model is set independently of the control of the cycle. A second processing area in which the test processing of the second hydraulic model is executed
Period control system, characterized in that it has. The method of claim 1,
The analysis unit further includes a model processing unit configured to calculate the wetness level of the second hydraulic model based on a result of the test processing;
When the calculated wetness level is equal to or greater than the reference wetness level, the second hydraulic model is applied as the first hydraulic model, and when the calculated wetness level is less than the reference wetness level, the test process is performed on the second hydraulic model is run again
Period control system, characterized in that. 3. The method of claim 2,
The model processing unit is configured to determine whether the wetness level of the second hydraulic model is equal to or greater than the reference wetness level.
Period control system, characterized in that. 3. The method of claim 2,
a model designating unit for designating the second hydraulic model;
for the second hydraulic model specified by the model designating unit, the test processing is executed
Period control system, characterized in that. 4. The method of claim 3,
a model designating unit for designating the second hydraulic model;
for the second hydraulic model specified by the model designating unit, the test processing is executed
Period control system, characterized in that. 6. The method according to any one of claims 1 to 5,
a first input/output unit for inputting and outputting first detection data detected by a first sensor formed in the cycle and included in the control data to and from the arithmetic unit and the analysis unit;
A second input/output unit for inputting and outputting second detection data detected by a second sensor formed in the cycle and included in the monitoring data to and from the arithmetic unit and the analysis unit
Period control system comprising a.

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