JP5027276B2 - Data collection device, data management system, data collection method, and program - Google Patents

Description

  The present invention relates to a data collection device that collects data, a data management system that manages data, a data collection method that collects data, and a program that is executed by a computer that collects data managed by the data management device.

  In a data management system that collects and manages data such as the amount of power generation from external devices such as a solar power generation system, a data collection device that collects and accumulates data, and manages data that is accumulated in the data collection device Some data management devices. The data collection device and the data management device can communicate with each other, and transmit data accumulated by the data collection device to the data management device in response to a transmission request transmitted from the data management device at a constant time interval.

  In such a system, data stored in the data collection device is generally transmitted to the data management device in response to a transmission request transmitted from the data management device at regular time intervals. However, the amount of data stored by the data collection device is not always constant. If the amount of stored data increases and exceeds the amount of data to be transmitted, the amount of data stored in the data collection device will exceed the allowable value, and data may be lost before transmission. It is not easy to improve efficiency.

  Therefore, a data collection method is disclosed in which the transmission time interval / number of continuous transmissions of a transmission request can be adjusted based on the data accumulation amount of the data collection device (see, for example, Patent Document 1).

JP-A-5-191472

  However, even if the method disclosed in Patent Document 1 is used, data is transmitted in the order of measurement (in chronological order). Therefore, when the amount of data is enormous, it takes time to grasp the transition of data. May be required.

  The present invention has been made in view of the above circumstances, and an object thereof is to provide a data collection device, a data management system, a data collection method, and a program capable of grasping a transition of a huge amount of data in a short time. .

In order to achieve the above object, a data collection device according to the present invention is a data collection device that collects data managed by a data management device. In this data collection device, the data collection unit collects data from an external device. The storage unit stores data collected by the data collection unit as time-series data together with time information. The extraction unit scans the time series data stored in the storage unit and extracts a part of the time series data from the time series data stored in the storage unit according to a predetermined extraction condition different from the time series order. Repeat the process. The transmission unit transmits a part of the extracted time-series data to the data management device every time the time-series data is scanned and a part of the time-series data is extracted. The predetermined extraction condition includes extracting data from the data that has not been extracted yet in order of increasing or decreasing value. Further, the extraction unit extracts a predetermined number of data per scan of the time series data.

  According to the present invention, data is extracted from a series of time-series data according to a predetermined extraction condition different from the time-series order, and only the extracted data is transmitted to the data management apparatus. As a result, the data management apparatus can quickly manage the extracted data. As a result, even if the data is enormous, it is possible to grasp the data transition in a shorter time based on the data managed by the data management device.

It is a block diagram which shows the structure of the data management system which concerns on Embodiment 1 of this invention. It is a table which shows an example of the collected data. It is an example of the extraction condition table which a transmission data selection part has. It is a flowchart which shows operation | movement of the transmission data selection part. It is a figure which shows an example of the data extracted by the first scan in the data management system of FIG. In the data management system of FIG. 1, it is an example of the graph displayed on a data management apparatus after the first scan. It is a figure which shows an example of the data extracted by the 2nd scan in the data management system of FIG. 2 is an example of a graph displayed on the data management apparatus after the second scan in the data management system of FIG. 1. It is a figure which shows an example of the data extracted by the 3rd scan in the data management system of FIG. 2 is an example of a graph displayed on the data management apparatus after the third scan in the data management system of FIG. 1. In the data management system concerning Embodiment 2 of this invention, it is a table which shows an example of the collected data. In the data management system concerning this Embodiment 2, it is an example of the graph displayed with a data management device after the first scan. In the data management system concerning this Embodiment 2, it is an example of the graph displayed with a data management device after the 2nd scan. In the data management system concerning this Embodiment 2, it is an example of the graph displayed with a data management device after the 3rd scan. It is a figure which shows an example of the data extracted by the first scan in the data management system which concerns on Embodiment 3 of this invention. In the data management system concerning this Embodiment 3, it is an example of the graph displayed with a data management device after the first scan. In the data management system concerning this Embodiment 3, it is an example of the graph displayed with a data management device after the 2nd scan. In the data management system concerning this Embodiment 3, it is an example of the graph displayed with a data management device after the 3rd scan. In the data management system which concerns on Embodiment 4 of this invention, it is an example of the graph displayed with a data management apparatus after the first scan. In the data management system concerning this Embodiment 4, it is an example of the graph displayed with a data management device after the 2nd scan. In the data management system concerning this Embodiment 4, it is an example of the graph displayed with a data management device after the 3rd scan.

  Embodiments of the present invention will be described in detail with reference to the drawings.

Embodiment 1 FIG.
First, a first embodiment of the present invention will be described.

  The data management system 100 according to this embodiment is a system that manages data collected from an external device. First, the configuration of the data management system 100 according to the present embodiment will be described with reference to FIG.

  As shown in FIG. 1, the data management system 100 includes a data collection device 1 and a data management device 2. The data collection device 1 and the data management device 2 are connected to each other via a communication network 3.

  The data collection device 1 is a data logger that collects and accumulates data and transmits the accumulated data to the data management device 2. The data collection device 1 is a computer, and a function as a data logger is exhibited when an internal CPU executes a program stored in a memory.

  The data management device 2 is a center server that manages data transmitted from the data collection device 1. The data management device 2 is a computer, and a function as a center server is exhibited when an internal CPU executes a program stored in a memory. The data management device 2 has a display screen. On this display screen, a graph of the data transmitted from the data collection device 1 can be displayed.

  The configuration of the data collection device 1 will be described in further detail. The data collection device 1 includes a data collection unit 10, a data transmission buffer 11, a transmission data selection unit 12, and a data transmission unit 13.

  The data collection unit 10 has a communication interface, and is connected to an external device (not shown) to be collected through the communication interface. The data collection unit 10 collects specific data from an external device (not shown), for example, at regular time intervals (for example, 0.5 hours). The data collection unit 10 adds the time information (time stamp) at which the data was collected to the collected data and outputs the data to the data transmission buffer 11.

  The data transmission buffer 11 is a memory (storage unit) having a predetermined storage capacity. The data transmission buffer 11 stores and accumulates data collected by the data collection unit.

  FIG. 2 shows an example of data stored in the data transmission buffer 11. This data is the daily transition of the amount of power generated by the solar panel of the solar power generation system. As shown in FIG. 2, the collected power generation data starts at 1:00 and ends at 23:30. The power generation amount data is collected every 30 minutes by the data collection unit 10 and stored in the data transmission buffer 11.

  The transmission data selection unit 12 extracts data at an arbitrary sampling interval longer than the sampling interval while scanning the data stored in the data transmission buffer 11 in the time series direction. The transmission data selection unit 12 transmits the extracted data to the data transmission unit 13 every time scanning of the data stored in the data transmission buffer 11 is completed once.

  The transmission data selection unit 12 repeatedly scans the data stored in the data transmission buffer 11 while changing the sampling interval to be short, and has not yet been selected from the data stored in the data transmission buffer 11 during the scan. Extract data.

  For example, as shown in FIG. 2, the transmission data selection unit 12 extracts data at a sampling interval of 5 hours while scanning the power generation amount data collected every 0.5 hours, and the extracted data is a data transmission unit. 13 to send. Subsequently, as shown in FIG. 2, the transmission data selection unit 12 extracts the extracted data at a sampling interval of 2.5 hours while scanning the power generation amount data collected every 0.5 hours. The data is transmitted to the data transmission unit 13. Subsequently, as shown in FIG. 2, the transmission data selection unit 12 extracts the extracted data at a sampling interval of 0.5 hours while scanning the power generation amount data collected every 0.5 hours. The data is transmitted to the data transmission unit 13.

  In order to perform the above processing, the transmission data selection unit 12 has an extraction condition table 20 shown in FIG. As shown in FIG. 3, in this table, the value of the variable k and the value of T [k] are registered in association with each other. For example, the value of T [k] at k = 1 is 10, the value of T [k] at k = 2 is 5, and the value of T [k] at k = 3 is 1. ing. As for the value of T [k], 1 corresponds to 0.5 hours. Therefore, T [k] = 10 corresponds to 5 hours, T [k] = 5 corresponds to 2.5 hours, and T [k] = 1 corresponds to 0.5 hours.

  The data transmission unit 13 has a communication interface with the data management device 2. The data transmission unit 12 transmits the data extracted by the transmission data selection unit 12 to the data management device 2.

  Next, the operation of the data management system 100 according to the present embodiment will be described.

  FIG. 4 shows a flowchart executed by the transmission data selection unit 12. As shown in FIG. 4, the transmission data selection unit 12 extracts first data and last data (step S1). Here, in the case of the power generation amount data shown in FIG. 2, the data of the power generation amount of 1:00 and the data of 23:30 are extracted.

  Subsequently, the transmission data selection unit 12 initializes the counter values i and j to 0 (step S2). Subsequently, the transmission data selection unit 12 increments the counter value j by 1 (step S3). Subsequently, the transmission data selection unit 12 reads T [j] (that is, T [1] = 10) from the table 20 (see FIG. 3) (step S4).

  Subsequently, the transmission data selection unit 12 increments the counter i (here, i = 0) by T [j] (step S5). As a result, the counter value i becomes 10.

  Subsequently, the transmission data selection unit 12 determines whether or not the data at the time corresponding to the counter value i has not been extracted (step S6). Here, the data of the time corresponding to the counter value i is data of the power generation amount of 5:00, which is data after 5 hours (0.5 hours × 10) from 0:00 as a reference.

  If it has not been extracted (step S6; Yes), the transmission data selection unit 12 extracts the data at the time corresponding to the counter value i (data of the power generation amount of 5:00 in FIG. 2) (step S7).

When data has been extracted (step S7) or when data has already been extracted (step S6; No), the transmission data selection unit 12 determines whether or not the counter value i exceeds the data transmission _dmax. (Step S8). If the counter value i does not exceed the data transmission d _max (step S9; No), the transmission data selection unit 12 increments the counter value i by T [j] again (step S5). As a result, the counter value i becomes 20.

  Subsequently, the transmission data selection unit 12 determines whether or not the data at the time corresponding to the counter value i has not been extracted (step S6). Here, the data at the time corresponding to the counter value i is data of the power generation amount at 10:00, which is data 10 hours after 0:00 (0.5 hours × 20). If it has not been extracted (step S6; Yes), the transmission data selection unit 12 extracts data at the time corresponding to the counter value i (data of the power generation amount of 10:00 in FIG. 2) (step S7).

When data has been extracted (step S7) or when data has already been extracted (step S6; No), the transmission data selection unit 12 determines whether or not the counter value i exceeds the data transmission _dmax. (Step S8).

Thereafter, the transmission data selection unit 12 repeats steps S5 → S6 → S7 → S8 until the counter value i exceeds the data transmission d _max (step S8; Yes). By repeating this, for example, the data of the power generation amount at 15:00 and the data of the power generation amount at 20:00 in FIG. 2 are extracted.

When the counter value i exceeds the data transmission d _max (step S8; Yes), the transmission data selection unit 12 outputs the extracted data to the data management device 2 (step S9). Here, the data extracted in the first scan is data of the power generation amount of 1:00, 5:00, 10:00, 15:00, and 20:00, as shown by a thick frame in FIG.

  When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 6 shows an example of a graph displayed after the first scan.

  Returning to FIG. 4, subsequently, the transmission data selection unit 12 determines whether or not unextracted data remains (step S10). If it remains (step S9; Yes), the transmission data selection unit 12 increments the counter value j by 1 (step S3). As a result, the counter value j becomes 2. Subsequently, the transmission data selection unit 12 reads T [j] (that is, T [2] = 5) from the table 20 (see FIG. 3) (step S4).

Thereafter, the transmission data selection unit 12 repeats steps S5 → S6 → S7 → S8 until the counter value i exceeds the data transmission d _max (step S8; Yes). By repeating this process, for example, as shown in FIG. 7, the power generation amount data of 2:30, 7:30, 12:30, 17:30, and 22:30 is extracted in the second scan.

When the counter value i exceeds the data transmission d _max (step S8; Yes), the transmission data selection unit 12 outputs the extracted data to the data management device 2 (step S9).

  When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 8 shows an example of a graph displayed after the second scan. By looking at this graph display, it is possible to roughly grasp the transition of power generation amount data.

  Returning to FIG. 4, subsequently, the transmission data selection unit 12 determines whether or not unextracted data remains (step S10). If it remains (step S9; Yes), the transmission data selection unit 12 increments the counter value j by 1 (step S3). As a result, the counter value j becomes 3. Subsequently, the transmission data selection unit 12 reads T [j] (that is, T [3] = 1) from the table 20 (see FIG. 3) (step S4).

Thereafter, the transmission data selection unit 12 repeats steps S5 → S6 → S7 → S8 until the counter value i exceeds the data transmission d _max (step S8; Yes). By repeating this process, for example, as shown in FIG. 9, the remaining power generation amount data is extracted.

When the counter value i exceeds the data transmission d _max (step S8; Yes), the transmission data selection unit 12 outputs the extracted data to the data management device 2 (step S9).

  When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 10 shows an example of the displayed graph.

  Returning to FIG. 4, subsequently, the transmission data selection unit 12 determines whether or not unextracted data remains (step S10). Here, since no data remains (step S10; No), the transmission data selection unit 12 ends the process.

  As described above in detail, according to this embodiment, data is extracted from a series of time-series data extracted as an extraction condition with an amplification period longer than the sampling period of time-series data. Only the data is transmitted to the data management device 2. As a result, the data management apparatus 2 can quickly display the entire image of the transition of the data in a graph with a rough sampling period. As a result, even if the data is enormous, the transition of the data can be grasped in a shorter time.

Embodiment 2. FIG.
First, a second embodiment of the present invention will be described.

  The configuration of the data management system 100 according to this embodiment is the same as the configuration of the data management system 100 according to the first embodiment.

  The data collection unit 10 is different from the first embodiment in that the collected data is given a serial number instead of the time information at which the data was collected, and is output to the data transmission buffer 11.

  The data transmission buffer 11 is a memory (storage unit) having a predetermined storage capacity. The data transmission buffer 11 stores and accumulates data collected by the data collection unit.

  FIG. 11 shows an example of data stored in the data transmission buffer 11. This data indicates, for example, the daily transition of the power generation amount of the solar battery panel of the solar power generation system. As shown in FIG. 11, serial numbers are assigned to the power generation amount data in chronological order.

  The transmission data selection unit 12 extracts data at an arbitrary sampling interval while scanning the data stored in the data transmission buffer 11 in the time series direction. The transmission data selection unit 12 transmits the extracted data to the data transmission unit 13 every time scanning of the data stored in the data transmission buffer 11 is completed once.

  The transmission data selection unit 12 repeatedly scans the data stored in the data transmission buffer 11 while changing the sampling interval to be short, and has not yet been selected from the data stored in the data transmission buffer 11 during the scan. Extract data.

  For example, the transmission data selection unit 12 extracts the first data and the last data while scanning the collected power generation amount data in ascending order of serial numbers, and further extracts every ten data. Thereby, data of serial numbers 10, 20, 30, and 40 are extracted. The transmission data selection unit 12 transmits the extracted data to the data transmission unit 13. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 12 shows an example of the displayed graph.

  Subsequently, the transmission data selection unit 12 extracts every fifth data while similarly scanning the power generation amount data, and transmits the extracted data to the data transmission unit 13. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 13 shows an example of the displayed graph.

  Subsequently, the transmission data selection unit 12 extracts data that has not yet been extracted in time series while scanning the collected power generation amount data, and transmits the extracted data to the data transmission unit 13. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 14 shows an example of the displayed graph.

  As described above in detail, according to this embodiment, data is extracted from a series of time-series data with a sampling period longer than the sampling period of time-series data as an extraction condition, and the extracted data Only to the data management device 2. Thereby, in the data management apparatus 2, the transition of data can be quickly displayed in a graph with a rough sampling period. As a result, even if the data is enormous, the transition of the data can be grasped in a shorter time.

Embodiment 3 FIG.
First, a third embodiment of the present invention will be described.

  The configuration of the data management system 100 according to this embodiment is the same as the configuration of the data management system 100 according to the first embodiment.

  The data transmission buffer 11 is a memory (storage unit) having a predetermined storage capacity. The data transmission buffer 11 stores and accumulates data collected by the data collection unit 10.

  In the data management system 100 according to this embodiment, the operation of the transmission data selection unit 12 is different. The transmission data selection unit 12 scans the data stored in the data transmission buffer 11 in the time series direction, and extracts about five pieces of data in descending order of the values. The transmission data selection unit 12 transmits the extracted data to the data transmission unit 13 every time scanning of the data stored in the data transmission buffer 11 is completed once.

  The transmission data selection unit 12 repeatedly scans the data stored in the data transmission buffer 11 and, during the scan, data that has not yet been selected from the data stored in the data transmission buffer 11 in descending order of value. Extract.

  For example, the transmission data selection unit 12 scans the power generation amount data collected every 0.5 hours (see FIG. 2), extracts five data in descending order, and sends the extracted data to the data transmission unit 13. Send. FIG. 15 shows an example of extracted data.

  When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 16 shows an example of the displayed graph.

  Subsequently, the transmission data selection unit 12 extracts five pieces of data in descending order from the data not yet extracted while scanning the power generation amount data collected every 0.5 hours. The transmitted data is transmitted to the data transmission unit 13. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 17 shows an example of the displayed graph.

  Subsequently, the transmission data selection unit 12 transmits data that has not yet been extracted to the data transmission unit 13 while scanning the power generation amount data collected every 0.5 hours. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 18 shows an example of the displayed graph.

  As described above in detail, according to this embodiment, data is extracted from a series of time-series data in descending order, and only the extracted data is transmitted to the data management device. As a result, the data management apparatus can quickly manage a portion having a large data value. As a result, even if the amount of data is enormous, it is possible to grasp the transition of data when attention is paid to a portion having a large value in a shorter time.

  In this embodiment, data is extracted in descending order, but data may be extracted in ascending order.

Embodiment 4 FIG.
First, a fourth embodiment of the present invention will be described.

  The configuration of the data management system 100 according to this embodiment is the same as the configuration of the data management system 100 according to the first embodiment.

  The data transmission buffer 11 is a memory (storage unit) having a predetermined storage capacity. The data transmission buffer 11 stores and accumulates data collected by the data collection unit 10.

  In the data management system 100 according to this embodiment, the operation of the transmission data selection unit 12 is different. The transmission data selection unit 12 scans the data stored in the data transmission buffer 11 in the time series direction, and extracts data whose difference from the previous data exceeds a predetermined threshold S. The transmission data selection unit 12 transmits the extracted data to the data transmission unit 13 every time scanning of the data stored in the data transmission buffer 11 is completed once.

  The transmission data selection unit 12 repeatedly scans the data stored in the data transmission buffer 11 while changing the threshold value S. During the scan, data exceeding the threshold value S among the data stored in the data transmission buffer 11 To extract.

  For example, the transmission data selection unit 12 extracts data whose difference from the previous data is 30 or more while scanning the power generation amount data (see FIG. 2) collected every 0.5 hours, The extracted data is transmitted to the data transmission unit 13. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 19 shows an example of the displayed graph.

  Subsequently, the transmission data selection unit 12 extracts data whose difference from the previous data is 10 or more while scanning the data of the power generation amount collected every 0.5 hours, and extracts the extracted data. The data is transmitted to the data transmission unit 13. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 20 shows an example of the displayed graph.

  Subsequently, the transmission data selection unit 12 transmits data that has not yet been extracted to the data transmission unit 13 while scanning the power generation amount data collected every 0.5 hours. When the data management device 2 receives the data via the communication network 3, the data management device 2 displays the received data in a graph as time-series data. FIG. 21 shows an example of the displayed graph.

  As described above in detail, according to this embodiment, data having a large change with respect to the previous data is extracted from a series of time series data, and only the extracted data is stored in the data management device. Send. As a result, the data management apparatus can quickly manage the portion where the change in the data value is large. As a result, even if the amount of data is enormous, it is possible to grasp the transition of data when attention is paid to the change in the value of the data in a shorter time.

  In the above embodiment, since the transmission of all data is completed, the data transmission is continued. However, the present invention is not limited to this. Data transmission may be stopped when data transition can be grasped, that is, when a predetermined stop condition is satisfied. In this way, since the amount of data transmission can be minimized, the communication cost can be reduced.

  In this case, the stop condition can be that the ratio of the number of extracted data to the total number of time-series data reaches a predetermined level. A stop request can be transmitted from the data management device 2 to the data collection device 1 by a user's operation input looking at the graph display in the data management device 2, and receiving the stop request can be a stop condition.

  Further, the sampling period, threshold value, and the like shown in the above-described embodiment are merely examples, and these values need to be set appropriately according to data collected from the external device to be collected.

  In the above embodiment, the program to be executed is a computer-readable recording such as a flexible disk, a CD-ROM (Compact Disk Read-Only Memory), a DVD (Digital Versatile Disk), and an MO (Magneto-Optical Disk). A system that executes the above-described processing may be configured by storing and distributing the program on a medium and installing the program.

  Further, the program may be stored in a disk device or the like included in a predetermined server device on a communication network such as the Internet, and may be downloaded, for example, superimposed on a carrier wave.

  In addition, when the above functions are realized by sharing an OS (Operating System), or when the functions are realized by cooperation between the OS and an application, only the part other than the OS may be stored in a medium and distributed. You may also download it.

  In addition, this invention is not limited by the said embodiment and drawing. It goes without saying that the embodiments and the drawings can be modified without changing the gist of the present invention.

DESCRIPTION OF SYMBOLS 1 Data collection apparatus 2 Data management apparatus 3 Communication network 10 Data collection part 11 Data transmission buffer 12 Transmission data selection part 13 Data transmission part 20 Extraction condition table 100 Data management system

Claims (11)

A data collection device for collecting data managed by a data management device,
A data collection unit that collects data from external devices;
A storage unit for storing data collected by the data collection unit as time-series data together with time information;
The time series data stored in the storage unit is scanned, and a part of the time series data is selected from the time series data stored in the storage unit according to a predetermined extraction condition different from the time series order. An extraction unit that repeats the extraction process;
A transmission unit that transmits the extracted part of the time-series data to the data management device each time the time-series data scan is completed and a part of the time-series data is extracted;
Equipped with a,
In the predetermined extraction condition,
Extracting data from the data not yet extracted in order of increasing or decreasing value,
The extraction unit includes:
Extracting a predetermined number of data per scan of the time-series data;
Data collection device. The predetermined extraction condition is:
From among the data that has not yet been extracted, the long sampling intervals than the sampling interval of the time-series data includes extracting the data,
The extraction unit includes:
Each time the time series data scan is repeated, the predetermined sampling interval is shortened.
The data collection device according to claim 1. The predetermined extraction condition is:
From among the data that has not yet been extracted, the method comprising the difference between the previous data and extracts the data exceeding a predetermined threshold,
The extraction unit includes:
Each time the time-series data scan is repeated, the predetermined threshold value is decreased.
The data collection device according to claim 1. The extraction unit includes:
When a predetermined stop condition is satisfied, the extraction of a part of the time series data is stopped.
Data collection device according to any one of claims 1 to 3, characterized in that. The predetermined stop condition is:
A ratio of the number of extracted data to the total number of data of the time series data reaches a predetermined level,
The data collection device according to claim 4 . The predetermined stop condition is:
Receiving a stop request from the data management device;
The data collection device according to claim 4 . The data collection unit
Add time information to the collected data,
The storage unit
Storing the data with the time information as the series of time-series data;
Data collection device according to any one of claims 1 to 6, characterized in that. The data collection unit
A serial number is attached to the collected data,
The storage unit
Storing the serial number-attached data as the series of time-series data;
Data collection device according to any one of claims 1 to 6, characterized in that. A data collection device according to any one of claims 1 to 8 ,
A data management device that inputs and displays data transmitted from the data collection device, and transmits a transmission stop request to the data collection device in response to an operation input;
A data management system comprising: A data collection method for collecting data managed by a data management device,
A data collection process for collecting data from external devices;
A storage step of storing the data collected in the data collection step as time series data together with time information in a storage device;
Repeating the scan of the time series data stored in the storage device, a part of the time series data from the time series data stored in the storage device according to a predetermined extraction condition different from the time series order An extraction process for extracting
A transmission step of transmitting a part of the extracted time-series data to the data management device every time the time-series data is scanned in the extraction step and a part of the time-series data is extracted. When,
Only including,
In the predetermined extraction condition,
Extracting data from the data not yet extracted in order of increasing or decreasing value,
In the extraction step,
Extracting a predetermined number of data per scan of the time-series data;
Data collection method. In a computer that collects data managed by the data management device,
A data collection procedure to collect data from external devices;
A storage procedure for storing data collected in the data collection procedure in a storage device as time-series data together with time information;
Repeating the scan of the time series data stored in the storage device, a part of the time series data from the time series data stored in the storage device according to a predetermined extraction condition different from the time series order Extraction procedure to extract,
A transmission procedure for transmitting a part of the extracted time-series data to the data management device every time the time-series data is scanned in the extraction procedure and a part of the time-series data is extracted. When,
Was executed,
In the predetermined extraction condition,
Extracting data from the data not yet extracted in order of increasing or decreasing value,
In the extraction procedure,
Extracting a predetermined number of data per scan of the time-series data;
program.

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