JP7374382B2 - Data storage device, equipment monitoring system and data storage method - Google Patents

Description

The present disclosure relates to a data storage device, a device monitoring system, and a data storage method that store data indicating the status of a device.

BACKGROUND ART Conventionally, data indicating the status of equipment installed on trains has been used for preventive maintenance and other purposes. Patent Document 1 describes an equipment state recording system having an onboard system and a ground system, in which the onboard system records state quantities of equipment mounted on a train based on instructions from the ground system and transmits the recorded state quantities to the ground system. However, a technology has been disclosed in which a ground system accumulates acquired state quantities and analyzes them to detect signs of abnormality.

JP 2019-129604 Publication

However, according to the above-mentioned conventional technology, the ground system accumulates a huge amount of state data acquired from the on-board system in order to perform analysis. Therefore, as ground systems have more state quantity data, the processing load increases when extracting and displaying representative state quantity data in order to check changes in state quantities, etc. The problem was that it took a long time.

The present disclosure has been made in view of the above, and an object of the present disclosure is to provide a data storage device that can suppress an increase in processing load when extracting desired data from accumulated data indicating the state of a device. do.

In order to solve the above-mentioned problems and achieve the purpose, the data storage device of the present disclosure provides a temporary table that stores the first data as it is without processing it, and a temporary table that performs a conversion process on the first data and generates it. a storage unit that has normalization tables for storing second data , each as a separate table ; and a data acquisition unit that acquires first data indicating the status of equipment mounted on the train from the train and stores it in a temporary table. and the first data acquired during a set period based on one or more display intervals for each measurement item of the first data, data is converted by a conversion process set for each measurement item. a data conversion unit that generates second data in a set period and stores the second data in a normalization table; a data conversion unit that reads the second data stored in the normalization table requested by the terminal device from the storage unit; The apparatus is characterized by comprising an output control unit that outputs to a terminal device.

The data storage device of the present disclosure has the effect of being able to suppress an increase in processing load when extracting desired data from stored data indicating the state of a device.

A diagram illustrating a configuration example of a device monitoring system according to an embodiment. Flowchart showing the operation of the data storage device according to the embodiment A diagram showing an example of a temporary table included in the storage unit of the data storage device according to the embodiment. A diagram showing an example of a normalization table included in the storage unit of the data storage device according to the embodiment. The first diagram showing a display example of second data on the terminal device according to the embodiment. A second diagram illustrating a display example of second data on the terminal device according to the embodiment. A diagram illustrating an example of the configuration of a processing circuit when the processing circuit included in the data storage device according to the embodiment is implemented by a processor and memory. A diagram illustrating an example of the configuration of a processing circuit in a case where the processing circuit included in the data storage device according to the embodiment is configured with dedicated hardware.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Below, a data storage device, a device monitoring system, and a data storage method according to embodiments of the present disclosure will be described in detail based on the drawings.

Embodiment.
FIG. 1 is a diagram showing a configuration example of a device monitoring system 1 according to the present embodiment. The equipment monitoring system 1 includes a train 10, a data storage device 20, and a terminal device 30. The equipment monitoring system 1 is a system that monitors the status of equipment 11 mounted on a train 10. To simplify the description, the number of devices 11 mounted on the train 10 is one in the example of FIG. 1, but it is assumed that the train 10 actually carries a plurality of devices 11. The equipment 11 mounted on the train 10 includes, for example, brakes, doors, air conditioners, auxiliary power supplies, etc., but is not limited thereto.

During operation, the train 10 detects data indicating the state of the equipment 11 using sensors and the like, and outputs the detected data to the data storage device 20. The data indicating the state of the equipment 11 mounted on the train 10 is, for example, if the equipment 11 is a brake, it is the pressure generated in the device for operating the brake, and if the equipment 11 is an air conditioner, it is the pressure generated in the device for operating the brake. This includes the temperature around the machine, and if the device 11 is an electrical device, the voltage applied to the electrical device, the current flowing through the electrical device, etc. Data indicating the state of the equipment 11 mounted on the train 10 is referred to as first data. The timing at which the train 10 outputs the first data to the data storage device 20 may be while the train 10 is running, during a period when the train 10 is stopped at a station, or when the train 10 outputs the first data to the data storage device 20. This may be done after the vehicle has finished operating and returned to the garage. Further, the communication method between the train 10 and the data storage device 20 may be a 4G (4th Generation) system or a 5G (5th Generation) system.

The data storage device 20 acquires first data from the train 10 and generates second data used when the terminal device 30 displays the status of the equipment 11 mounted on the train 10. As described above, there are a plurality of types of equipment 11 mounted on the train 10, and measurement items for detecting data indicating the state of the equipment 11 differ depending on each equipment 11. Furthermore, the degree of importance when monitoring differs depending on the type of equipment 11 mounted on the train 10. For example, brakes and the like are devices 11 that affect the running of the train 10, so they are of high importance when monitoring the status of the devices 11, while air conditioners and the like affect passenger comfort but affect the running of the train 10. Since this does not directly affect the state of the equipment 11, its importance level may be lower than that of the brake or the like when monitoring the state of the equipment 11. In such a case, a user who uses the terminal device 30 to monitor the status of the equipment 11 mounted on the train 10 may check the latest status of the brakes, etc. at a shorter display interval than the status of the air conditioner, etc. I would like to confirm. Further, the interval at which the first data is detected on the train 10 is generally shorter than the desired display interval on the terminal device 30.

Therefore, the data storage device 20 performs a conversion process set for each measurement item on the first data acquired in a set period based on one or more display intervals for each measurement item of the first data. is converted to generate second data for the set period. The second data is a representative value representing the state of the target device 11 during the aforementioned setting period. The display interval is the time interval in chronological order of each second data when the terminal device 30 monitors the second data of a certain device 11, and there is a plurality of display intervals for one device 11. It's okay. The set period is the same period as the length of time indicated by the display interval. There may be a plurality of measurement items for one device 11. Furthermore, when there are multiple measurement items for one device 11, the display intervals may be different for the multiple measurement items.

The terminal device 30 acquires the second data from the data storage device 20 and displays the second data. The terminal device 30 may be a personal computer installed in a facility that manages the operation of the train 10, or may be a tablet that the user can carry. The second data is generated in the data storage device 20 using first data acquired during a set period based on one or more display intervals for each measurement item of the first data. The terminal device 30 generates second data representing a desired display interval without using the first data detected on the train 10 during the setting period of each display interval of each device 11 mounted on the train 10. It may be acquired from the data storage device 20. Therefore, the terminal device 30 can reduce the processing load compared to the case where the terminal device 30 generates second data representing each period of the desired display interval.

The detailed configuration and operation of the data storage device 20 will be explained. As shown in FIG. 1, the data storage device 20 includes a data acquisition section 21, a storage section 22, a data conversion section 23, and an output control section 24. FIG. 2 is a flowchart showing the operation of the data storage device 20 according to this embodiment.

The storage unit 22 has a temporary table and a normalization table.

The data acquisition unit 21 acquires first data indicating the state of the equipment 11 mounted on the train 10 from the train 10 (step S1). The data acquisition unit 21 stores the acquired first data in a temporary table included in the storage unit 22.

FIG. 3 is a diagram showing an example of the temporary table 221 included in the storage unit 22 of the data storage device 20 according to the present embodiment. The temporary table 221 is a table in which the first data acquired by the data acquisition unit 21 is stored as is without being processed. The provisional table 221 is configured by Date indicating the date and time when the first data was acquired, and Item indicating the value of each first data. In the example of FIG. 3, the number of Items in the provisional table 221 is two, but in reality, the number of Items is equal to the number of measurement items of the first data type detected on the train 10, that is, the first data. It has a storable configuration. Further, the temporary table 221 only needs to store enough first data that can be referenced from the terminal device 30 during analysis, as will be described later, regarding the time-series first data indicated by Date. There is no particular limitation on the period for which the data is stored.

The data conversion unit 23 converts the first data acquired in a set period based on one or more display intervals for each measurement item of the first data by a conversion process set for each measurement item. is performed to generate second data for the set period (step S2). The data conversion unit 23 stores the generated second data in a normalization table included in the storage unit 22. Furthermore, the data conversion unit 23 generates second data for each of a plurality of set periods having different lengths by performing a conversion process on the first data of the same measurement item, and converts the second data for each set period. Stored in the normalized table.

When it is assumed that the second data of a certain device 11 will be displayed on the terminal device 30 at a plurality of display intervals such as one day, one week, and one month, the data conversion unit 23 Using the first data stored in the temporary table 221, second data is generated for each different setting period based on the display interval and stored in a normalization table for each setting period. The data conversion unit 23 generates and stores second data using one day's worth of first data for a normalized table whose set period is one day. The data conversion unit 23 generates and stores second data using one week's worth of first data for a normalized table whose set period is one week. In this case, while the data conversion unit 23 generates second data whose set period is one week and stores it in the normalized table, it generates second data whose set period is one day and stores it in the normalized table. The storing process will be performed seven times.

FIG. 4 is a diagram showing an example of the normalization table 222 included in the storage unit 22 of the data storage device 20 according to the present embodiment. The normalization table 222 is a table that includes categories for each time concept, such as daily and weekly, regarding the second data generated by the data conversion unit 23. The normalization table 222 is configured by Date indicating the date and time when the second data was generated, and Item indicating the value of each second data. In the example of FIG. 4, the normalization table 222 has one Item, but in reality, the number of Items is the same as the type of second data generated by the data conversion unit 23, that is, the number of items. It has a storable configuration. Furthermore, in the example of FIG. 4, two normalization tables 222 are shown: a daily table in which second data for each day is stored, and a weekly table in which second data for each week is stored. , the storage unit 22 has normalization tables 222 for various types of time concepts, such as a monthly table in which second data for each month is stored.

Furthermore, when performing a conversion process using a plurality of first data in a set period, the data conversion unit 23 stores the plurality of first data used for the conversion process in a temporary table included in the storage unit 22. For example, when calculating the average value of a plurality of first data in a set period as a conversion process, the data conversion unit 23 converts the first data from the temporary table 221 every time the first data is stored in the temporary table 221. is read out, and the first data from the end of the previous setting period to the end of the current setting period is stored in the primary table. Although not shown, the configuration of the primary table is similar to the provisional table 221 described above. When calculating the second data for a certain setting period and moving to the conversion process for the next setting period, the data conversion unit 23 temporarily converts the first data stored in the temporary table in the certain setting period, that is, the previous setting period. Delete from table.

Note that the data conversion unit 23 may change the above-mentioned setting period based on a request from the terminal device 30 that acquires and displays the second data stored in the normalization table 222. The processing method may be changed. The data converting unit 23 holds the above-mentioned setting period set in advance by the user or set by default, and the conversion processing method. The data conversion unit 23 may hold the setting period and the conversion processing method in a table format, or may cause the storage unit 22 to store a table in which the setting period and the conversion processing method are stored. You may also refer to the table that is currently in use. When the user discovers an unusual sign in the second data of a certain measurement item, the user instructs the data converter 23 of the data storage device 20 via the terminal device 30 to shorten the above-mentioned setting period. or request a change in the method of the conversion process described above. The data conversion unit 23 changes at least one of the above-mentioned setting period and conversion process based on a request from the terminal device 30. Note that the data conversion unit 23 of the data storage device 20 may directly accept changes to the above-mentioned setting period or conversion processing method from the user.

The output control unit 24 reads the second data stored in the normalization table 222 requested by the terminal device 30 from the storage unit 22, and outputs it to the terminal device 30 (step S3). For example, when weekly data is requested from the terminal device 30 as the second data of a certain device 11, the output control unit 24 reads the second data from the weekly table of the normalization table 222 and outputs the second data to the terminal device 11. Output to 30. Thereby, the terminal device 30 can display the second data generated at a desired display interval by acquiring the second data from the data storage device 20. FIG. 5 is a first diagram showing a display example of the second data on the terminal device 30 according to the present embodiment. FIG. 5 is a display example using the second data of the daily table of the normalized table 222 shown in FIG. FIG. 6 is a second diagram showing a display example of the second data on the terminal device 30 according to the present embodiment. FIG. 6 is a display example using the second data of the weekly table of the normalized table 222 shown in FIG. 4. Note that the user can also refer to the first data stored in the temporary table 221 of the storage unit 22 of the data storage device 20 via the terminal device 30. As a result, when the user discovers an unusual tendency such as a singularity in the second data displayed on the terminal device 30 as shown in FIG. 5 or FIG. The first data, which is the value measured at 10, can be directly confirmed.

Here, the conversion process from the first data to the second data by the data converter 23 during the set period will be explained. Conversion processing during the set period includes (1) using the latest data, (2) calculating the average value, (3) detecting the maximum or minimum value, (4) using the comparison result with the threshold value. (5) There are methods such as finding the difference from the previous time.

(1) Regarding the method of using the latest data, the data conversion unit 23 uses the latest value among the plurality of first data acquired in the set period as the second data as a conversion process. In this case, the data converter 23 only needs to use the last first data of the set period, and therefore does not use the above-mentioned temporary table. The data conversion unit 23 stores the latest first data in the set period as second data in the normalization table 222. As a specific example, the train 10 is composed of eight cars, each car is equipped with two air conditioners #1 and #2, and each air conditioner adjusts the temperature around the air conditioner for 15 seconds. Assume that the temperature is measured at intervals and the temperature measured by each air conditioner is used as the first data. In the data storage device 20, the data acquisition unit 21 acquires first data for 16 air conditioners from the train 10 at 15 second intervals, and stores it in a temporary table 221 included in the storage unit 22. When a user using the terminal device 30 wants to monitor the latest temperature around each air conditioner at 5-minute intervals, the data converter 23 stores the latest temperature in the temporary table 221 every 5 minutes based on the user's settings. The latest first data that exists is read out and stored in the normalization table 222.

(2) Regarding the method of calculating the average value, the data conversion unit 23 calculates the average value of a plurality of first data acquired in a set period as a conversion process and uses it as second data. Here, in the above-mentioned specific example, there are two patterns: when the data conversion unit 23 calculates the average value of the first data and uses it as second data, when the temporary table is not used, and when the temporary table is used. is possible. For example, if the user monitors the temperature of each vehicle using the average value of temperatures measured by air conditioners #1 and #2, the data conversion unit 23 converts the temperature of each vehicle stored in the temporary table 221 into The temperatures measured by harmonizers #1 and #2, that is, the average value of the first data, is calculated and used as second data, and stored in the normalization table 222. In this case, the data converter 23 does not use a temporary table. On the other hand, when the user monitors the temperature measured by each air conditioner using the average value of the temperature for the past minute, the data conversion unit 23 monitors the temperature measured by each air conditioner stored in the temporary table. The average value of the four temperatures, ie, the first data, is calculated, used as second data, and stored in the normalization table 222. In this case, the data converter 23 uses a temporary table. Note that when using a temporary table, the data conversion unit 23 may use the first data read from the temporary table 221 as is without storing the latest first data in the temporary table. The same applies to subsequent examples.

(3) Regarding the method of detecting the maximum value or minimum value, as a conversion process, the data conversion unit 23 detects the maximum value or minimum value among the plurality of first data acquired in the set period and converts the second data to the second data. Data. Here, in the above-mentioned specific example, when the data conversion unit 23 detects the maximum value or minimum value of the first data and uses it as the second data, when the temporary table is not used, and when the temporary table is used, Two patterns are possible. For example, if the user wants to monitor the maximum value or minimum value of the temperatures measured at the same time in each air conditioner in an 8-car train, the data converter 23 can monitor the 2 x 8 temperatures stored in the temporary table 221. The maximum value or minimum value is detected from both = 16 temperatures, that is, the first data, and is stored as second data in the normalization table 222. In this case, the data converter 23 does not use a temporary table. On the other hand, when the user monitors the temperature measured by each air conditioner based on the maximum value or minimum value of the temperature in the last minute, the data conversion unit 23 converts the temperature of each air conditioner stored in the temporary table into The maximum value or minimum value is detected from the temperatures measured four times, that is, the first data, and is stored as second data in the normalization table 222. In this case, the data converter 23 uses a temporary table.

(4) Regarding the method of using the comparison result with a threshold, the data conversion unit 23 converts the number of first data that exceeds the threshold out of the plurality of first data acquired in the set period into a second Let the data be . Here, in the above-mentioned specific example, when the data conversion unit 23 sets the number of first data exceeding the threshold among the first data as second data, when the temporary table is not used, and when the temporary table is used. There are two possible patterns when doing so. For example, if the user wants to monitor an event in which the difference between the maximum and minimum temperatures measured by each air conditioner of the train 10 in the same formation exceeds a specified threshold, the data conversion unit 23 converts the temporary Calculate the difference between the maximum and minimum temperature values for 2 × 8 cars = 16 stored in 221, and if the calculated difference exceeds the threshold, set a flag, and set the temperature difference flag in the normalization table 222. Store the flag in the field. In this case, the data converter 23 does not use a temporary table. On the other hand, when the user counts and monitors the number of times that the temperature measured by each air conditioner exceeds a prescribed temperature that is a threshold value in the last 24 hours, the data conversion unit 23 The count value stored in the temporary table is updated each time the measured temperature exceeds the threshold value. In this case, the data converter 23 uses a temporary table.

(5) Regarding the method of determining the difference from the previous data, the data conversion unit 23 uses the difference between the previously acquired first data and the latest first data as second data as a conversion process. That is, the data conversion unit 23 generates the second data by residual processing. Here, in the above-mentioned specific example, the data conversion unit 23 temporarily stores the temperature of 26° C. as the latest first data for a certain air conditioner, and stores the latest first data from the temporary table 221. When a temperature of 23° C. is acquired as data, −3° C., which is the difference between the temperature of 26° C. and the temperature of 23° C., is stored in the normalization table 222 as second data. In this case, the data converter 23 uses a temporary table.

Although five examples have been given as methods of conversion processing by the data conversion unit 23, the methods of conversion processing by the data conversion unit 23 are not limited to these. Further, the five examples described above can also be combined. For example, the data conversion unit 23 may detect the maximum value or the minimum value using the method (3), and further perform a comparison with a threshold value using the method (4) to generate the second data.

In this way, the data storage device 20 generates the second data in the set period based on the display interval desired by the user, but generally the second data desired by the user is as described in (1) the latest data. It is assumed that many patterns are generated by methods that use data such as In this case, the data converter 23 in the data storage device 20 reads the first data from the temporary table 221 every set period without using the temporary table, and normalizes the read first data as the second data. The information may be stored in the conversion table 222. For example, if the setting period is one hour in the above-mentioned specific example, the data conversion unit 23 does not perform any processing on 239 of the 3600 (seconds)/15 (seconds) = 240 pieces of first data obtained in one hour. No processing is required. Therefore, the data conversion unit 23 can reduce the processing load compared to the case where calculation is performed to generate the second data using all the first tables of the set period. That is, the data storage device 20 can generate the second data for each set period based on a plurality of display intervals and store it in the normalization table 222 for the terminal device 30 while reducing the processing load. .

Next, the hardware configuration of the data storage device 20 according to the first embodiment will be explained. In the data storage device 20, the data acquisition unit 21 has an interface that can communicate with the train 10. The storage unit 22 is a memory. The data conversion section 23 and the output control section 24 are realized by a processing circuit. The processing circuit may be a memory that stores a program and a processor that executes the program stored in the memory, or may be dedicated hardware. The processing circuit is also called a control circuit.

FIG. 7 is a diagram showing an example of the configuration of the processing circuit 90 when the processing circuit included in the data storage device 20 according to the present embodiment is implemented by the processor 91 and the memory 92. A processing circuit 90 shown in FIG. 7 is a control circuit and includes a processor 91 and a memory 92. When the processing circuit 90 includes a processor 91 and a memory 92, each function of the processing circuit 90 is realized by software, firmware, or a combination of software and firmware. Software or firmware is written as a program and stored in memory 92. In the processing circuit 90, each function is realized by a processor 91 reading and executing a program stored in a memory 92. That is, the processing circuit 90 includes a memory 92 for storing a program by which the processing of the data storage device 20 is executed. This program can also be said to be a program for causing the data storage device 20 to execute each function realized by the processing circuit 90. This program may be provided by a storage medium in which the program is stored, or may be provided by other means such as a communication medium.

The program includes a first step in which the data acquisition unit 21 acquires first data indicating the status of the equipment 11 mounted on the train 10 from the train 10 and stores it in a temporary table 221 included in the storage unit 22; The data conversion unit 23 converts the first data acquired in a set period based on one or more display intervals for each measurement item of the first data by a conversion process set for each measurement item. A second step of generating second data for the set period by performing the following steps and storing the second data in the normalization table 222 of the storage unit 22; It can also be said that this is a program that causes the data storage device 20 to execute the third step of reading the second data stored in the normalization table 222 from the storage unit 22 and outputting it to the terminal device 30.

Here, the processor 91 is, for example, a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, or a DSP (Digital Signal Processor). The memory 92 may also be a nonvolatile or volatile memory such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable ROM), or EEPROM (registered trademark) (Electrically EPROM). This includes semiconductor memory, magnetic disks, flexible disks, optical disks, compact disks, mini disks, and DVDs (Digital Versatile Discs).

FIG. 8 is a diagram showing an example of the configuration of the processing circuit 93 in the case where the processing circuit included in the data storage device 20 according to the present embodiment is configured with dedicated hardware. The processing circuit 93 shown in FIG. 8 is, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination of these. applicable. Regarding the processing circuit 93, a part may be realized by dedicated hardware, and a part may be realized by software or firmware. In this way, the processing circuit 93 can realize each of the above functions using dedicated hardware, software, firmware, or a combination thereof.

As described above, according to the present embodiment, data storage device 20 acquires from train 10 the first data indicating the state of equipment 11 mounted on train 10 . The data storage device 20 converts the first data acquired in a set period based on one or more display intervals for each measurement item of the first data by a conversion process set for each measurement item. is performed to generate second data for the set period and stored in the normalization table 222. Thereby, the data storage device 20 can suppress an increase in processing load when extracting desired second data from the stored first data indicating the state of the device 11. Further, the data storage device 20 can suppress a decrease in the operability of a user who uses the terminal device 30 to monitor the second data. Furthermore, the data storage device 20 can shorten response time and improve usability by increasing the efficiency of data extraction processing. The data storage device 20 can reduce hardware cost and power consumption by reducing required processing performance.

The configurations shown in the embodiments above are merely examples, and can be combined with other known techniques, or can be combined with other embodiments, within the scope of the gist. It is also possible to omit or change part of the configuration.

Reference Signs List 1 equipment monitoring system, 10 train, 11 equipment, 20 data storage device, 21 data acquisition unit, 22 storage unit, 23 data conversion unit, 24 output control unit, 30 terminal device, 221 provisional table, 222 normalization table.

Claims (12)

A storage unit that includes, as separate tables , a temporary table that stores first data as it is without processing and a normalization table that stores second data generated by performing conversion processing on the first data. and,
a data acquisition unit that acquires the first data indicating the state of equipment mounted on the train from the train and stores it in the temporary table;
Data conversion is performed on the first data acquired in a set period based on one or more display intervals for each measurement item of the first data by a conversion process set for each measurement item. a data conversion unit that generates the second data in the set period and stores the second data in the normalization table;
an output control unit that reads the second data stored in the normalization table requested by the terminal device from the storage unit and outputs it to the terminal device;
A data storage device comprising: The data conversion unit generates the second data by the conversion process for each of the plurality of set periods having different lengths for the first data of the same measurement item, and converts the second data into the second data. is stored in the normalization table for each set period,
The data storage device according to claim 1, characterized in that: When performing a conversion process using a plurality of the first data in the set period, the data conversion unit stores the plurality of first data used in the conversion process in a temporary table included in the storage unit.
The data storage device according to claim 1 or 2, characterized in that: As the conversion process, the data conversion unit sets the latest value among the plurality of first data acquired in the set period as the second data.
The data storage device according to claim 1 or 2, characterized in that: As the conversion process, the data conversion unit calculates an average value of the plurality of first data acquired in the set period and sets it as the second data.
The data storage device according to claim 1 or 2, characterized in that: As the conversion process, the data conversion unit detects a maximum value or a minimum value among the plurality of first data acquired in the set period and sets it as the second data.
The data storage device according to claim 1 or 2, characterized in that: As the conversion process, the data conversion unit sets, as the second data, the number of the first data that exceeds a threshold among the plurality of first data acquired in the set period.
The data storage device according to claim 1 or 2, characterized in that: The data conversion unit converts a difference between the first data acquired last time and the latest first data into the second data as the conversion process.
The data storage device according to claim 1 or 2, characterized in that: The data conversion unit changes at least one of the setting period and the conversion process based on a request from a terminal device that acquires and displays the second data stored in the normalization table. ,
The data storage device according to any one of claims 1 to 8. A data storage device according to any one of claims 1 to 9,
a train carrying equipment that is the subject of first data acquired by the data storage device;
a terminal device that acquires and displays second data from the data storage device;
An equipment monitoring system comprising: a first step in which the data acquisition unit acquires first data indicating the state of equipment mounted on the train from the train and stores it in a temporary table included in the storage unit;
A data conversion unit performs a conversion process set for each measurement item on the first data acquired in a set period based on one or more display intervals for each measurement item of the first data. a second step of performing the conversion to generate second data for the set period, and storing the second data in a normalization table included in the storage unit;
a third step in which the output control unit reads the second data stored in the normalization table requested by the terminal device from the storage unit and outputs it to the terminal device;
including;
The storage unit stores the temporary table that stores the first data as it is without processing and the normalization table that stores the second data generated by performing a conversion process on the first data. have each as a separate table,
A data accumulation method characterized by: In the second step, the data conversion unit generates the second data by the conversion process for each of the plurality of set periods having different lengths for the first data of the same measurement item. and storing the second data in the normalization table for each set period,
12. The data storage method according to claim 11.

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