JP6379278B2 - Data processing apparatus, program, and recording medium for managing data measured in ship - Google Patents

Description

  The present invention relates to a technique for managing data measured in a ship.

  When navigating a ship, in order to manage the sailing schedule, etc., physical quantities related to the environment in which the ship is placed, such as wind speed, wind direction, wave speed, wave height, ship speed, ship position, fuel consumption, main engine and other various equipment Various types of physical quantities, such as physical quantities relating to the state of the ship, such as load, temperature, and pressure, are measured. These physical quantities include those that are automatically measured by a device such as a sensor, and those that are visually measured by an operator.

  A mechanism for collecting and using various physical quantities measured in each of a plurality of ships has been proposed. For example, in Patent Document 1, measurement data is created from actual measurement data of weather, sea conditions, and ocean currents measured by each of a plurality of ships navigating the target sea area, and the measurement data is added to the forecast data for calculation. A mechanism has been proposed in which data is created and the optimum route of the ship in the target sea area is calculated based on the calculation data.

JP 2014-013145 A

  If the reliability of the measurement data indicating the physical quantity measured in the ship is unknown, there is a risk that inaccurate information is provided to the user of the measurement data, and proper use of the measurement data is hindered. Therefore, a data provider that provides measurement data to users, in order to improve the quality of measurement data, correction processing to increase the reliability of measurement data with low reliability and exclusion of measurement data with low reliability It is necessary to perform a so-called cleansing process such as a process.

  A data provider needs to efficiently perform cleansing processing on measurement data in order to provide measurement data continuously generated in each of a large number of ships to the user.

  In view of the above circumstances, the present invention provides means for increasing the efficiency of cleansing processing for increasing the reliability of measurement data indicating physical quantities measured in a ship.

In order to solve the above problems, the present invention provides a measurement data acquisition means for acquiring a series of measurement data indicating a certain physical quantity continuously measured in a ship as a certain series of measurement data, and a certain series of reliability. including a data sequence evaluating means for evaluating the degree according to a predetermined rule, relates each of the plurality of measurement data included in the certain sequence, the reliability data indicating the result of evaluation by the measured data and the data sequence evaluating means There is provided a data processing device comprising a transmission means for transmitting a data record to an external device .

  In the above data processing apparatus, the data processing device includes data evaluation means for evaluating each reliability of the measurement data of the certain series according to a criterion for evaluating the reliability of the measurement data, and the data series evaluation means includes the data series evaluation means, A configuration may be employed in which the reliability of a certain series is evaluated using the reliability of measurement data obtained as a result of the evaluation by the data evaluation means.

  Further, in the data processing device, the measurement data acquisition unit acquires a series of measurement data indicating a first physical quantity continuously measured in the ship as a first series of measurement data. A series of measurement data indicating a second physical quantity that is continuously measured is acquired as measurement data of a second series, and the data evaluation unit determines the reliability of each measurement data of the first series, A configuration in which the evaluation is performed based on the second series of measurement data may be employed.

  Further, in the data processing device, the measurement data acquisition unit acquires a series of measurement data indicating a first physical quantity continuously measured in the ship as a first series of measurement data. A series of measurement data indicating the second physical quantity continuously measured is acquired as measurement data of the second series, and the measurement data of the second series is associated with each measurement data of the first series. A configuration in which correspondence means is provided may be employed.

  Further, in the data processing device, the measurement data acquisition unit acquires a series of measurement data indicating a first physical quantity continuously measured in the ship as a first series of measurement data. A series of measurement data indicating the second physical quantity continuously measured is acquired as measurement data of the second series, and the reliability of the measurement data of the first series is obtained for each of the measurement data of the first series. A configuration may be employed in which an association means for associating data generated by using the second series of measurement data used for evaluation of the degree is provided.

Further, the present invention provides a computer with a process for obtaining a series of measurement data indicating a certain physical quantity continuously measured on a ship as a certain series of measurement data, and the reliability of the certain series as a predetermined rule. a process of evaluation in accordance relates each of the plurality of measurement data included in the certain sequence, it transmits the data record including the reliability data indicating the result of the evaluation in the process of the evaluation with the measurement data to an external device A program for executing processing is provided.

Further, the present invention provides a computer with a process for obtaining a series of measurement data indicating a certain physical quantity continuously measured on a ship as a certain series of measurement data, and the reliability of the certain series as a predetermined rule. a process of evaluation in accordance relates each of the plurality of measurement data included in the certain sequence, it transmits the data record including the reliability data indicating the result of the evaluation in the process of the evaluation with the measurement data to an external device Provided is a computer-readable recording medium for continuously recording a program for executing processing.
Further, the present invention acquires a series of measurement data indicating a first physical quantity continuously measured in a ship as a first series of measurement data, and obtains a second physical quantity continuously measured in the ship. Measurement data acquisition means for acquiring a series of measurement data shown as measurement data of the second series, and the reliability of each of the measurement data of the first series according to a predetermined rule, the measurement data of the first series There is provided a data processing apparatus comprising: a data evaluation unit that evaluates based on the second series of measurement data indicating the second physical quantity measured at substantially the same timing as the first physical quantity indicated by.

  According to the present invention, when deterioration or failure occurs in a measurement device that continuously measures a physical quantity in a ship, the reliability regarding a series of measurement data generated by the measurement device is evaluated, and the result of the evaluation is shown. Reliability data is associated with each measurement data of the series. In the cleansing process for individual measurement data, the efficiency of the cleansing process can be improved by using the reliability of the sequence associated with the measurement data.

The figure which showed the whole structure of the data management system concerning one Embodiment. The figure which showed the basic composition of the computer used as hardware of the terminal device concerning one Embodiment. The figure which showed the basic composition of the computer used as hardware of the server apparatus concerning one Embodiment. The figure which showed the function structure of the terminal device concerning one Embodiment. The figure which illustrated the basic composition of the data series attribute record group memorized by the terminal unit concerning one embodiment. The figure which illustrated the data table contained in the measurement record group memorized by the terminal unit concerning one embodiment. The figure which illustrated the attribute addition measurement record group memorized by the terminal unit concerning one embodiment. The figure which showed the function structure of the server apparatus concerning one Embodiment. The figure which showed the function structure of the terminal device concerning one Embodiment. The figure which showed the sequence of the process which the terminal device and server apparatus concerning one Embodiment perform. The figure which illustrated the information displayed in the terminal unit concerning one embodiment.

[Embodiment]
A data management system 1 according to an embodiment of the present invention will be described below. The data management system 1 is a system that manages measurement data indicating various physical quantities measured in each of a plurality of ships and provides them to the user.

  FIG. 1 is a diagram showing the overall configuration of the data management system 1. The data management system 1 is transmitted from each of a plurality of terminal apparatuses 11-1 to 11-k (k is the number of ships) and terminal apparatuses 11-1 to 11-k, which are arranged on different ships. The server apparatus 12 which receives and accumulate | stores data, and the terminal device 13 which the user of the data accumulate | stored in the server apparatus 12 uses are provided. Hereinafter, the terminal devices 11-1 to 11-k are collectively referred to as “terminal device 11”. Each terminal device 11 can perform data communication with the server device 12 via the communication satellite 8. Further, the terminal device 13 can perform data communication with the server device 12 via a network such as the Internet. Although only one terminal device 13 is shown in FIG. 1, the number of terminal devices 13 changes arbitrarily according to the number of users of the data management system 1.

  The hardware of the terminal device 11 and the terminal device 13 is, for example, a computer for a general terminal device. FIG. 2 is a diagram illustrating a basic configuration of the computer 10 used as hardware of the terminal device 11 and the terminal device 13. The computer 10 includes a memory 101 that stores various data, a processor 102 that performs various data processing in accordance with a program stored in the memory 101, a communication IF 103 that is an IF (Interface) that performs data communication with the server device 12, a user A display device 104 such as a liquid crystal display for displaying an image, and an operation device 105 such as a keyboard for receiving a user operation. Note that an external display device connected to the computer 10 may be used instead of or in addition to the display device 104 built in the computer 10. Further, instead of or in addition to the operation device 105 built in the computer 10, an external operation device connected to the computer 10 may be used.

  The hardware of the server device 12 is, for example, a general server device computer. FIG. 3 is a diagram illustrating a basic configuration of the computer 20 used as hardware of the server device 12. The computer 20 includes a memory 201 that stores various data, a processor 202 that performs various data processing according to a program stored in the memory 201, and a communication IF 203 that performs data communication with the terminal device 11 and the terminal device 13.

  FIG. 4 is a diagram illustrating a functional configuration of the terminal device 11. That is, the computer 10 configuring the hardware of the terminal device 11 operates as a device including the functional configuration unit illustrated in FIG. 4 by executing data processing according to the program for the terminal device 11. Hereinafter, each functional component of the terminal device 11 illustrated in FIG. 4 will be described.

  The storage device 111 stores various data. Data stored in the storage device 111 includes a basic data group, a processing method definition data group, a data series evaluation rule data group, a data evaluation rule data group, a data series attribute record group, a measurement record group, and an attribute-added measurement record group It is.

  The basic data group is a collection of data (basic data) indicating various attributes relating to the ship, the measuring device, and the worker performing the measurement. The basic data related to the ship includes, for example, data indicating a manufacturer name, ship type name, ship name, holding company name, operating company name, use start date, and the like. The basic data related to the measuring device includes, for example, data indicating the type of physical quantity to be measured, the number of significant digits, the manufacturer name, model name, start date of use, last maintenance date, and the like of the measuring device. Moreover, the basic data regarding the worker who performs measurement includes, for example, data indicating the worker name, job title, work start date, and the like.

  The processing method definition data group is a collection of data (processing method definition data) indicating a method of processing measurement data indicating physical quantities measured in a ship. Measurement data processing includes correction, estimation, and statistical processing of measurement data. For example, when measurement data of a certain kind of physical quantity includes a certain bias, the processing method definition data group includes processing method definition data indicating a correction method for removing the bias. In addition, when it is determined that measurement data of a certain type of physical quantity indicates an abnormal value, if normal physical quantity can be estimated by interpolation based on previous and subsequent measurement data, the processing method definition data group includes Processing method definition data indicating an estimation method is included. In addition, when it is desirable that statistical processing such as moving average is performed because the measurement data of a certain type of physical quantity includes random noise, the processing method definition data group includes a processing method indicating the statistical processing method. Contains definition data.

  The data series evaluation rule data group is a collection of data (data series evaluation rule data) indicating a rule as a reference for evaluating the reliability of the data series. In a certain ship, a physical quantity is continuously measured for each of a plurality of physical quantities such as a wind speed, a propeller rotational speed, and a fuel flow rate. With respect to each of the plurality of physical quantities, a series of data indicating the measured physical quantities is referred to as a data series or a data series in the present application. The data series evaluation rule data group includes data series evaluation rule data corresponding to each of a plurality of physical quantities measured on the ship.

  An example of data series evaluation rule data relating to wind speed stored in the storage device 111 of the terminal device 11 of a certain ship (hereinafter referred to as “data series evaluation rule data D1”) is shown below.

"Data series evaluation rule data D1"
Data reliability is 5 times in succession, “NG”: Series reliability = “NG”
Data reliability is 5 times consecutively, not “NG”: Series reliability = “OK”

  When the wind speed indicated by the measurement data deviates from the predetermined normal range five times continuously and the data reliability is evaluated as “NG”, the data series evaluation rule data D1 is the reliability of the data series. Is evaluated as “NG”, which means that there is no reliability due to failure, etc., and the wind speed indicated by the measurement data enters the normal range five times in advance and the data reliability is other than “NG”. Is evaluated as “OK”, which means that the reliability of the data series does not cause a failure and has sufficient reliability.

  The data evaluation rule data group is a collection of data (data evaluation rule data) indicating rules for evaluating the reliability of each measurement data. The data evaluation rule data group includes data evaluation rule data corresponding to each of a plurality of data series.

  An example of data evaluation rule data relating to wind speed stored in the storage device 111 of the terminal device 11 of a certain ship (hereinafter referred to as “data evaluation rule data D2”) is shown below.

"Data evaluation rule data D2"
Wind speed is outside normal range: Data reliability = "NG"
The wind speed is within the normal range, and 150 ° ≦ wind direction ≦ 210 °: data reliability = “0”
The wind speed is within the normal range, and 0 ° ≦ wind direction <150 ° or 210 ° <wind direction <360 °: data reliability = “1”

  In a ship to which the data evaluation rule data D2 is applied, if the wind direction with respect to the hull is in the range of 150 ° to 210 °, the measured value of the anemometer is inferior due to the relationship between the shape of the hull and the installation position of the anemometer. I know it will be accurate. The data evaluation rule data D2 reflects this situation. When the wind direction measured at substantially the same timing as the wind speed is 150 ° or more and less than 210 °, the reliability of the measurement data indicating the wind speed is sufficiently reliable. It shows a rule that evaluates to “0” indicating that there is no reliability, and evaluates to “1” indicating that there is sufficient reliability in other cases.

  Hereinafter, as another example of the data evaluation rule data, data evaluation rule data (hereinafter referred to as “data evaluation rule data D3”) relating to the ship speed stored in the storage device 111 of the terminal device 11 of a certain ship is shown. .

"Data evaluation rule data D3"
Ship speed is outside normal range: reliability = "NG"
Ship speed is within the normal range, and (ship speed / propeller rotational speed) <(14 / 80-3%) or (ship speed / propeller rotational speed)> (14/80 + 3%): reliability = “0”
Ship speed is within the normal range and (14 / 30-3%) ≦ (ship speed / propeller rotation speed) ≦ (14 / 30-3%): reliability = “1”

  In ships to which the data evaluation rule data D3 is applied, it is generally known that (ship speed / propeller rotational speed) falls within a range of 14/30 ± 3%. The data evaluation rule data D3 reflects this situation. When the propeller rotational speed measured at substantially the same timing as the ship speed is out of the range of 14/30 ± 3%, the data evaluation rule data D3 The rule indicates that the reliability is evaluated as “0” indicating that there is not sufficient reliability, and is evaluated as “1” indicating that there is sufficient reliability in other cases.

  The data series attribute record group is a data table that stores data records (hereinafter referred to as “data series attribute records”) corresponding to each of a plurality of data series. The data series attribute record includes a plurality of items indicating the attributes of the corresponding data series.

FIG. 5 is a diagram illustrating a basic configuration of a data series attribute record group. The data series attribute record group includes the following items.
[Ship ID] ID for identifying ship
[Category] Data indicating whether the measurement data is measurement data related to equipment mounted on the ship or measurement data related to navigation of the ship [Sequence ID] ID for identifying the data series
[Target device] Data indicating the device to be measured (for example, “first boiler”, etc.) [Measurement location] Data indicating the measurement location (for example, “oil supply pipe outlet”, etc.) [Target object] Object to be measured ( For example, data indicating “fuel oil” etc. [Physical quantity name] Data indicating the type of physical quantity indicated by measurement data (eg “flow rate” etc.) [Unit] Data indicating unit of physical quantity indicated by measurement data [Number of significant digits] ] Data indicating the number of significant digits of the physical quantity indicated by the measurement data [Normal range] Data indicating the normal range of the physical quantity indicated by the measurement data [Disclosure condition] Data indicating the disclosure condition of the measurement data [Device / People] Whether the measurement subject is a device Data indicating the person [Measurement device manufacturer name] (When the measurement subject is a device) Data indicating the manufacturer name of the measurement device [Measurement device name] (When the measurement subject is a device) Data indicating the model name of the measurement device [Total [Measurement equipment use days] (When the measurement subject is a device) Data indicating the number of days used by the measurement device [Days after maintenance of the measurement device] (If the measurement subject is a device) Data indicating the number of days elapsed since the last maintenance date [Measurer's title Name] (When the measurement subject is a person) Data indicating the title of the measurer [Measurer experience days] (When the measurement subject is a person) Number of experience days of the measurer [Correction method] Data indicating the correction method of the measurement data [ Estimation Method] Data indicating the measurement data estimation method [Statistic Processing Method] Data indicating the Measurement Data Statistical Processing Method [Specified Attribute 1] to [Specified Attribute i] Attribute data specified according to the data series (i is Any natural number)
[Reliability] Data indicating the evaluation result of the reliability of the data series

The measurement record group is a collection of data records including measurement data (hereinafter referred to as “measurement records”), and includes a data table corresponding to each of a plurality of data series. FIG. 6 is a diagram illustrating a data table included in the measurement record group. The data table included in the measurement record group includes the following items.
[Measurement time] Data indicating the time when the physical quantity indicated by the measurement data was measured [Series ID] ID for identifying the data series
[Measurement data] Measurement data indicating the measured physical quantity [Measurement data after processing] Measurement data after at least one of correction, estimation, and statistical processing [Data reliability] Reliability of measurement data or measurement data after processing Data showing the evaluation result of degree

  As shown in FIG. 6, the measurement records of the corresponding data series are stored in the order of measurement time in the data table included in the measurement record group. For example, a series of measurement records stored in the data table of FIG. 6 is a data series identified by the series ID “1205”.

  The attribute-added measurement record group is a data series attribute having a series ID that matches the measurement record included in the measurement record group (FIG. 6) among the data series attribute records included in the data series attribute record group (FIG. 5). This is a collection of data records (hereinafter referred to as “attribute addition measurement records”) in which attribute data indicated by the records is associated. FIG. 7 is a diagram illustrating an attribute addition measurement record group.

  Returning to FIG. 4, the description of each functional component of the terminal device 11 is continued. The time measuring means 112 generates time data indicating the current time. The measurement data acquisition unit 113 acquires measurement data indicating various physical quantities such as wind speed, ship speed, and propeller rotation speed measured in the ship. A series ID for identifying a data series is added to the measurement data acquired by the measurement data acquisition unit 113. In addition, data indicating the measurement time is added to a part of the measurement data acquired by the measurement data acquisition unit 113. When the data indicating the measurement time is not added to the acquired measurement data, the measurement data acquisition unit 113 acquires the time data from the time measuring unit 112 and adds it to the acquired measurement data. The measurement data acquisition unit 113 adds the acquired measurement data to the measurement record group (FIG. 6) together with the data added to the measurement data.

  The correcting unit 114 corrects the measurement data and stores the corrected measurement data in the measurement record. For example, when a new measurement record is added to the data table of the measurement record group (FIG. 6), the correction unit 114 searches the processing method definition data group for processing method definition data corresponding to the data series of the target measurement record. When the retrieved processing method definition data indicates a measurement data correction method, the measurement data corrected in accordance with the correction method is stored in [measurement data after processing] of the measurement record.

  When the reliability of the measurement data is low, the estimation unit 115 estimates measurement data that substitutes for the measurement data, and stores the estimated measurement data in the measurement record. In the estimation unit 115, for example, data indicating the evaluation result of the reliability of the measurement data by the data evaluation unit 119 described later is stored in the [data reliability] of the measurement record included in the data table (FIG. 6) of the measurement record group. Then, it is determined whether or not the reliability of the measurement data indicated by the data exceeds a predetermined threshold value. When the reliability of the measurement data does not exceed the predetermined threshold, the estimation unit 115 searches the processing method definition data according to the data series of the target measurement record from the processing method definition data group, and the searched processing method definition data is found. When the measurement data estimation method is indicated, the measurement data estimated according to the estimation method is stored in the [measurement data after processing] of the measurement record.

  The statistical processing means 116 performs statistical processing using the measurement data, and stores the measurement data obtained by the statistical processing in the measurement record. For example, when a new measurement record is added to the data table (FIG. 6) of the measurement record group, the statistical processing unit 116 searches the processing method definition data corresponding to the data series of the target measurement record from the processing method definition data group. If the retrieved processing method definition data indicates the statistical processing method of the measurement data, the statistical processing is performed according to the statistical processing method, and the measurement data obtained by the statistical processing is stored in [Measured data after processing] of the measurement record. .

  Corresponding means 117 acquires data to be stored in [specified attribute 1] to [specified attribute i] of the attribute-added measurement record group (FIG. 7), and stores the acquired data in these fields, thereby measuring. The attribute data specified according to the data series is associated with the record.

  For example, it is assumed that storage of measurement data related to wind direction is specified as attribute data to be stored in [specified attribute 1] of a data series related to wind speed. In this case, when a new data record is added to the data table related to the wind speed in the data table (FIG. 7) included in the attribute-added measurement record group, the association unit 117 sets the [measurement time] of the added data record. A data record storing the time closest to the stored measurement time in [measurement time] is searched from the data table related to the wind direction in the data table (FIG. 7) included in the attribute-added measurement record group. The associating means 117 sets the data to [Measurement data] if no data is stored in [Measured data after processing] if the data is stored in [Measured data after processing] of the retrieved data record. The stored data is stored in [designated attribute 1] of the newly added data record of the data table regarding wind speed.

  Further, for example, it is assumed that the storage of the ratio between the ship speed and the propeller rotational speed is specified as attribute data to be stored in [specified attribute 1] of the data series relating to the ship speed. In this case, when a new data record is added to the data table related to the boat speed in the data table (FIG. 7) included in the attribute-added measurement record group, the association unit 117 adds [measurement time] of the added data record The data record storing the time closest to the measurement time stored in [Measurement time] is searched from the data table related to the propeller rotation speed in the data table (FIG. 7) included in the attribute-added measurement record group. The associating means 117 sets the data to [Measurement data] if no data is stored in [Measured data after processing] if the data is stored in [Measured data after processing] of the retrieved data record. Read the stored data. Subsequently, the associating means 117 displays the data when the data is stored in the [Measured data after processing] of the ship speed data record, and the data is not stored in the [Measured data after processing] [ Read data stored in [Measurement data]. The correspondence means 117 divides the post-processing measurement data or the measurement data related to the read ship speed by the post-processing measurement data or the measurement data related to the read propeller rotation speed. The association means 117 stores the data indicating the result of the division in [designated attribute 1] of the newly added data record in the data table relating to the ship speed.

  In the above-described example, the associating unit 117 measures the measurement data (or post-processing data) about the first physical quantity (for example, ship speed) with respect to the measurement data (or post-processing measurement data) about the first physical quantity (for example, ship speed). Measurement data) and data generated according to a predetermined rule are stored using measurement data (or post-processing measurement data) relating to a second physical quantity (for example, propeller rotation speed) different from the first physical quantity. Instead, the associating means 117 has a plurality of physical quantities (for example, propellers) different from the first physical quantity (ship speed) with respect to the measurement data (or post-processing measurement data) related to the first physical quantity (ship speed). You may store the data produced | generated according to a predetermined rule using the measurement data (or measurement data after a process) regarding rotation speed and an output.

  The data stored in [designated attribute 1] to [designated attribute i] by the associating unit 117 is used, for example, for evaluation of reliability of measurement data by the data evaluating unit 119 described later.

  The data series evaluation means 118 evaluates the reliability of the data series according to the rules indicated by the data series evaluation rule data for each of the plurality of data series. Data indicating the result of evaluation by the data series evaluation means 118 is stored in [Sequence Reliability] of the data series attribute record group (FIG. 5).

  The data evaluation means 119 evaluates the reliability of the measurement data for each piece of measurement data according to the rules indicated by the data evaluation rule data. Data indicating the result of evaluation by the data evaluation unit 119 is stored in [data reliability] of the measurement record group (FIG. 6).

  For example, the transmission unit 110 transmits an unsent attribute addition measurement record in the attribute addition measurement record group (FIG. 7) to the server device 12 every predetermined time. The above is the description of each functional component of the terminal device 11.

  Next, the functional configuration of the server device 12 will be described. FIG. 8 is a diagram illustrating a functional configuration of the server device 12. That is, the computer 20 constituting the hardware of the server device 12 operates as a device having the functional configuration shown in FIG. 8 by executing data processing according to the program for the server device 12. Hereinafter, each functional component of the server device 12 illustrated in FIG. 8 will be described.

  The receiving unit 121 receives an attribute addition measurement record transmitted from each of the plurality of terminal devices 11. The receiving unit 121 receives browsing request data transmitted from the terminal device 13.

  The storage device 122 stores the attribute-added measurement record received by the receiving unit 121 in, for example, a data table of an attribute-added measurement record group corresponding to each terminal device 11 that is a transmission source (that is, each ship). Even if the attribute addition measurement record stored in the storage device 122 is an attribute addition measurement record transmitted from a different terminal device 11, it follows a common format for each type of physical quantity indicated by the measurement data.

  The extraction unit 123 extracts an attribute addition measurement record that satisfies the extraction condition indicated by the browsing request data received by the reception unit 121 from the terminal device 13 from the attribute addition measurement record group stored in the storage device 122. As described above, the attribute-added measurement record stored in the storage device 122 follows a common format for each type of physical quantity indicated by the measurement data. Therefore, the extraction unit 123 can handle the attribute-added measurement record groups related to different ships as the source data record group without distinguishing.

  The processing unit 124 processes the attribute addition measurement record extracted by the extraction unit 123 according to a predetermined rule to generate browsing data. The transmission unit 125 transmits the browsing data generated by the processing unit 124 to the terminal device 13 that is the transmission source of the browsing request data. The above is the description of each functional component of the server device 12.

  Next, the functional configuration of the terminal device 13 will be described. FIG. 9 is a diagram illustrating a functional configuration of the terminal device 13. That is, the computer 10 constituting the hardware of the terminal device 13 operates as a device having the functional configuration shown in FIG. 9 by executing data processing according to the program for the terminal device 13. Hereinafter, each functional component of the terminal device 13 illustrated in FIG. 9 will be described.

  The operation device 131 receives a user operation. The user inputs an extraction condition of data to be browsed by operating the operation device 131. The request generation unit 132 generates browsing request data indicating the extraction condition input by the user in accordance with the operation received by the controller device 131. The transmission unit 133 transmits the browsing request data generated by the request generation unit 132 to the server device 12.

  The receiving unit 134 receives the browsing data transmitted from the server device 12 as a response to the transmission of the browsing request data performed by the transmitting unit 133. The display device 135 displays information indicated by the browsing data received by the receiving unit 134. The above is the description of each functional component of the terminal device 13.

  FIG. 10 is a diagram illustrating a sequence of processes performed by the terminal device 13 and the server device 12 when the user of the terminal device 13 browses the contents of the attribute addition measurement record accumulated in the server device 12.

  First, the transmission means 133 of the terminal device 13 transmits browsing request data indicating the extraction condition input by the user to the server device 12 (step S11). The receiving unit 121 of the server device 12 receives the browsing request data transmitted from the terminal device 13 in step S11.

  Subsequently, the extraction unit 123 extracts attribute addition measurement records satisfying the extraction condition indicated by the browsing request data received in Step S11 from the attribute addition measurement record group stored in the storage device 122 (Step S12).

  Subsequently, the processing means 124 processes the attribute-added measurement record extracted in step S12 according to a predetermined rule, and generates browsing data (step S13). Subsequently, the transmission unit 125 transmits the browsing data generated in step S13 to the terminal device 13 (step S14).

  The display device 135 of the terminal device 13 displays a browsing screen according to the browsing data transmitted from the server device 12 in step S14 (step S15). FIG. 11 is a diagram illustrating information displayed on the browsing screen in step S15. The user of the terminal device 13 can browse the measurement data related to the desired ship or group of ships together with the reliability of the measurement data and the reliability of the series of the measurement data on the browsing screen.

  According to the data management system 1 described above, the reliability of the data series is evaluated in addition to the evaluation of the reliability of the measurement data. Therefore, for example, measurement data generated by a measurement device in a state where normal measurement cannot be performed due to deterioration or failure even when the physical quantity indicated by the measurement data and the rate of change of the physical quantity are within the normal range. Is evaluated as having low reliability. Therefore, for example, by excluding measurement data whose reliability of the data series does not exceed a predetermined threshold, the data provider can improve the efficiency of the measurement data cleansing process.

[Modification]
The above-described embodiments can be variously modified within the scope of the technical idea of the present invention. Examples of these modifications are shown below.

(1) In the embodiment described above, at least a part of the processing performed in the terminal device 11 may be performed in the server device 12. For example, in the embodiment described above, the terminal device 11 determines the reliability of the measurement data. Instead, at least one of the evaluation of the reliability of the data series and the reliability of the measurement data may be performed in the server device 12. In this modification, for example, the server device 12 stores in advance a data series evaluation rule data group and a data evaluation rule data group corresponding to each of a plurality of ships. The terminal device 11 generates an attribute addition measurement record in which data is not stored in [sequence reliability] and [data reliability], and transmits the attribute addition measurement record to the server device 12. The server device 12 evaluates the reliability of the data series according to the data series evaluation rule data corresponding to the attribute addition measurement record with respect to the attribute addition measurement record received from the terminal device 11, and also corresponds to the attribute addition measurement record. The reliability of the measurement data is evaluated according to the data evaluation rule data, and data indicating the results of these evaluations is stored in [Sequence reliability] and [Data reliability].

(2) The attribute-added measurement record transmitted from the terminal device 11 to the server device 12 may be filtered based on the sequence reliability or the data reliability. For example, when the series reliability included in the attribute-added measurement record does not exceed a predetermined threshold, or when the data reliability included in the attribute-added measurement record does not exceed the predetermined threshold, the terminal device 11 performs the attribute-added measurement. A configuration in which the record is not transmitted to the server device 12 may be employed.

(3) In the embodiment described above, the sequence reliability is indicated by either “NG” or “OK” (binary). Instead, the sequence reliability may be indicated by any one of three or more discrete values such as “0”, “1”,..., “10”. The data reliability is indicated by any one of “0”, “1”, and “NG” (three values). Instead, the data reliability is any of binary values of “NG” or “OK” or discrete values of four or more values such as “0”, “1”,..., “10”. May be indicated. Further, at least one of the sequence reliability and the data reliability may be indicated by a continuous value.

(4) Data used for data reliability evaluation is not limited to measurement data. For example, when the data evaluation unit 119 follows the data evaluation rule data and the data is stored in the [estimation method] of the attribute-added measurement record, the reliability of the processed measurement data generated according to the estimation method indicated by the data is lowered. It may be configured to evaluate.

(5) Data used for evaluation of the sequence reliability is not limited to the reliability of the measurement data. For example, when the data series evaluation means 118 follows the data series evaluation rule data and the [days after maintenance of the measuring device] of the attribute-added measurement record exceeds a predetermined threshold, the reliability of the data series is evaluated to be low. May be.

(6) In the above-described embodiment, the terminal device 11, the server device 12, and the terminal device 13 are realized by a general computer executing processing according to a program. Instead, at least a part of the terminal device 11, the server device 12, and the terminal device 13 may be configured as a so-called dedicated device.

(7) In the above-described embodiment, the case where the reliability of the measurement data series or the measurement data itself is evaluated according to the reliability evaluation rule such as specific data evaluation rule data is shown, but the present invention is not limited to this. In addition to the rules shown in the embodiment, any standard for evaluating the reliability of the measurement data series or the measurement data itself can be used in place of the rules.

  For example, a criterion for evaluating the reliability (data reliability) of measurement data of a certain data series based on the past measurement data of the certain series may be used. As a specific example, in the data series related to the tide speed, the reliability of the measurement data indicating the tide speed measured at a certain point in time is represented by the tide speed indicated by the measurement data in the last 10 minutes. A criterion may be adopted in which the data reliability is evaluated as “0” if it deviates from a speed average value by a predetermined threshold or more, and the data reliability is evaluated as “1” if it does not deviate.

(8) In the above-described embodiment, as data used for evaluation of reliability (data reliability) of measurement data of a certain data series, measurement data of a data series different from the certain data series, or An example is shown in which data generated using measurement data of a plurality of data series different from the data series is associated with the measurement data of the certain data series. Specifically, for example, the record in the first row of the data series attribute record group illustrated in FIG. 5 indicates that the measurement data related to the wind direction is associated with the measurement data related to the wind speed as the designated attribute 1. Further, the record in the second row of the data series attribute record group illustrated in FIG. 5 associates, as the designated attribute 2, data indicating a value obtained by dividing the wind speed by the propeller rotational speed to the measurement data related to the flow rate of the fuel oil. I am instructing. In generating the attribute-added measurement record group (see FIG. 7), the associating unit 117 associates the data designated by the data series attribute record group with the measurement data.

  As data used for evaluation of reliability of measurement data of a certain data series, the type of data associated with the measurement data is the type described above, that is, measurement data of a data series different from the certain data series, or The data is not limited to data generated using measurement data of a plurality of data series different from the certain data series. For example, data generated by using past measurement data of a certain data series (for example, an average value of measurement values of the latest 10 minutes in the past) may be associated with the measurement data of the certain data series. . Further, for example, data generated using measurement data of a certain data series and measurement data of a data series different from the certain data series may be associated with the measurement data of the certain series. .

DESCRIPTION OF SYMBOLS 1 ... Data management system, 8 ... Communication satellite, 10 ... Computer, 11 ... Terminal device, 12 ... Server device, 13 ... Terminal device, 20 ... Computer, 101 ... Memory, 102 ... Processor, 103 ... Communication IF, 104 ... Display Device ... 105 Operation device 110 ... Transmission means 111 ... Storage device 112 ... Time measuring means 113 ... Measurement data acquisition means 114 ... Correction means 115 ... Estimation means 116 ... Statistic processing means 117 ... Association means 118 ... Data series evaluation means, 119 ... Data evaluation means, 121 ... Reception means, 122 ... Storage device, 123 ... Extraction means, 124 ... Processing means, 125 ... Transmission means, 131 ... Operating device, 132 ... Request generation means, 133: Transmitting means, 134: Receiving means, 135 ... Display device, 201 ... Memory, 202 ... Processor, 203 ... Communication IF

Claims (8)

Measurement data acquisition means for acquiring a series of measurement data indicating a certain physical quantity continuously measured in a ship as a certain series of measurement data;
A data sequence evaluating means for evaluating the reliability of the certain sequence according to a predetermined rule,
It relates each of the plurality of measurement data included in the certain sequence, and transmitting means for transmitting the data record including the reliability data indicating the result of evaluation by the measured data and the data sequence evaluating means to an external apparatus Data processing device. Data evaluation means for evaluating the reliability of each measurement data of the certain series in accordance with a standard for evaluating the reliability of the measurement data;
The data processing apparatus according to claim 1, wherein the data series evaluation unit evaluates the reliability of the certain series using the reliability of measurement data obtained as a result of evaluation by the data evaluation unit. The measurement data acquisition means acquires a series of measurement data indicating a first physical quantity continuously measured in the ship as a first series of measurement data, and a second data continuously measured in the ship. A series of measurement data indicating physical quantities is acquired as measurement data of the second series,
The data processing device according to claim 2, wherein the data evaluation unit evaluates the reliability of each measurement data of the first series based on the measurement data of the second series. The measurement data acquisition means acquires a series of measurement data indicating a first physical quantity continuously measured in the ship as a first series of measurement data, and a second data continuously measured in the ship. A series of measurement data indicating physical quantities is acquired as measurement data of the second series,
The data processing apparatus according to claim 1, further comprising an association unit that associates each of the first series of measurement data with the second series of measurement data. The measurement data acquisition means acquires a series of measurement data indicating a first physical quantity continuously measured in the ship as a first series of measurement data, and a second data continuously measured in the ship. A series of measurement data indicating physical quantities is acquired as measurement data of the second series,
Corresponding means for associating each of the first series of measurement data with data generated using the second series of measurement data, which is used for evaluating the reliability of the measurement data of the first series The data processing apparatus according to claim 1 or 2. On the computer,
Processing to acquire a series of measurement data indicating a certain physical quantity continuously measured in a ship as a certain series of measurement data;
A process for evaluating the reliability of the certain series according to a predetermined rule ;
It relates each of the plurality of measurement data included in the certain sequence, in order to execute the process of transmitting the data record including the reliability data indicating the result of the evaluation in the process of the evaluation with the measurement data to an external device Program. On the computer,
Processing to acquire a series of measurement data indicating a certain physical quantity continuously measured in a ship as a certain series of measurement data;
A process for evaluating the reliability of the certain series according to a predetermined rule ;
It relates each of the plurality of measurement data included in the certain sequence, in order to execute the process of transmitting the data record including the reliability data indicating the result of the evaluation in the process of the evaluation with the measurement data to an external device A computer-readable recording medium for continuously recording the program. A series of measurement data indicating the first physical quantity continuously measured in the ship is acquired as the first series of measurement data, and a series of measurement data indicating the second physical quantity continuously measured in the ship is obtained. Measurement data acquisition means for acquiring the second series of measurement data;
The reliability of each measurement data of the first series indicates a second physical quantity measured at substantially the same timing as the first physical quantity indicated by the measurement data of the first series according to a predetermined rule. Data evaluation means for evaluating based on the measurement data of the second series;
A data processing apparatus comprising:

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