JP2017022522A - Data compression program, data compression device, data compression method, and data recovery program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce information amount of a piece of information associating a piece of data and an acquisition time of the data.SOLUTION: A computer extracts plural pieces of data, in the order of acquisition time, from compression object information including plural pieces of data which are acquired at predetermined sampling intervals from an acquisition start time and the acquisition time of respective plural pieces of data (step 401). The computer outputs the compression information which includes the plural pieces of data extracted in the order of acquisition time, the acquisition start time and a piece of interval information indicating a sampling interval (step 402).SELECTED DRAWING: Figure 4

Description

  The present invention relates to a data compression program, a data compression device, a data compression method, and a data restoration program.

  In recent years, various types of log data have been collected and processed by computers. For example, automobile log data may include numerical data such as engine speed and speed, and body log data may include numerical data such as body temperature, blood pressure, and heart rate. By analyzing the log data of the car, it is possible to estimate the situation of the road or driver on which the car is running from the change in engine speed or speed, and by analyzing the log data of the body, Human health can be estimated from changes in blood pressure or heart rate.

  When recording such log data, the numerical data of each item and the acquisition time when the numerical data was acquired are often recorded in association with each other. In the analysis of log data, for example, by specifying the acquisition time when the numerical data of a certain item becomes a predetermined value, and referring to the numerical data of other items or other log data at that time, the relationship between the data is Be analyzed.

  There is also known a data processing device that realizes efficiency in time series data normalization processing (see, for example, Patent Document 1).

JP 2008-210068 A

  In order to store log data efficiently, there is no known data compression method that focuses on the acquisition time included in the log data.

  In one aspect, an object of the present invention is to reduce the amount of information associated with data and an acquisition time when the data is acquired.

In one plan, the data compression program causes the computer to execute the following processing.
(1) The computer extracts a plurality of data in the order of the acquisition time from the compression target information including the plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data.
(2) The computer outputs compressed information including a plurality of data extracted in order of acquisition time, acquisition start time, and interval information indicating a sampling interval.

  According to one embodiment, it is possible to reduce the amount of information associated with data and the acquisition time when the data was acquired.

It is a figure which shows the 1st recording method. It is a figure which shows the 2nd recording method. It is a functional block diagram of a data compression apparatus. It is a flowchart of a data compression process. It is a functional block diagram which shows the 1st specific example of a data compression apparatus. It is a flowchart which shows the specific example of a data compression process. It is a functional block diagram which shows the 2nd specific example of a data compression apparatus. It is a flowchart of a 1st compression information output process. It is a figure which shows the compression information output by the 1st compression information output process. It is a functional block diagram which shows the 3rd specific example of a data compression apparatus. It is a flowchart of a 2nd compression information output process. It is a figure which shows the compression information output by the 2nd compression information output process. It is a functional block diagram which shows the 4th specific example of a data compression apparatus. It is a flowchart of a 3rd compression information output process. It is a figure which shows the compression information output by the 3rd compression information output process. It is a functional block diagram which shows the 5th example of a data compression apparatus. It is a flowchart of a 4th compression information output process. It is a functional block diagram of a data decompression | restoration apparatus. It is a flowchart of a time restoration process. It is a flowchart of a data extraction process. It is a functional block diagram which shows the 1st specific example of a data decompression | restoration apparatus. It is a flowchart which shows the 1st specific example of a time restoration process. It is a flowchart which shows the 2nd specific example of a time restoration process. It is a flowchart which shows the 3rd specific example of a time restoration process. It is a functional block diagram which shows the 2nd specific example of a data decompression | restoration apparatus. It is a flowchart which shows the 1st specific example of a data extraction process. It is a flowchart which shows the 2nd specific example of a data extraction process. It is a flowchart which shows the 3rd specific example of a data extraction process. It is a block diagram of information processing apparatus.

Hereinafter, embodiments will be described in detail with reference to the drawings.
If log data recording methods are classified based on the unit of data to be collectively recorded, they can be roughly divided into the following two methods.

  The first recording method is a method of recording the data of each item in the order received. One record in the first recording method includes acquisition time, item information indicating any one of a plurality of items, and item data indicated by the item information.

  The second recording method is a method for recording data of all items to be recorded collectively. One record in the second recording method includes acquisition time and data of a plurality of items.

  FIG. 1 shows an example of the first recording method. Each record in FIG. 1 includes a time, an item, and a numerical value. The time represents the time when the data was acquired, the item represents the data item (body temperature, blood pressure, or heart rate), and the numerical value represents the acquired data. For example, the first record includes the time “T”, the item “body temperature”, and the numerical value “BT1”, and the second record includes the time “T”, the item “blood pressure”, and the numerical value “BP1”. The third record includes time “T”, item “heart rate”, and numerical value “HR1”.

  In this recording method, the time and the item are included in each record, so the information of the same time or item is recorded redundantly, and the amount of data increases.

  FIG. 2 shows an example of the second recording method. Each record in FIG. 2 includes time, body temperature, blood pressure, and heart rate. The time represents the time when the data was acquired, and the body temperature, blood pressure, and heart rate represent the data acquired for each item. The symbol “-” represents empty data, indicating that no data has been acquired. For example, the first record includes time “T”, body temperature “BT1”, blood pressure “BP1”, and heart rate “HR1”, and the third record includes time “T + 2S” and heart rate “HR2”. . The body temperature and blood pressure of the third record are empty data.

  In this recording method, since data of all items is recorded together, records at the same time are not repeated, and the data recording area is different for each item, so item information representing data items is unnecessary. Become. However, the data acquisition time is still recorded for each record.

  FIG. 3 shows a functional configuration example of the data compression apparatus according to the embodiment. 3 includes a storage unit 311, a compression unit 312, and an output unit 313.

  The storage unit 311 stores compression target information 321 including a plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each data. The compression unit 312 generates compression information 322 from the compression target information 321, and the output unit 313 outputs the compression information 322.

  FIG. 4 is a flowchart showing an example of data compression processing performed by the data compression apparatus 301 of FIG. The compression unit 312 extracts a plurality of data in the order of acquisition time from the compression target information 321, and includes compression data including a plurality of data extracted in the order of acquisition time, an acquisition start time, and interval information indicating a sampling interval. 322 is generated (step 401). Then, the output unit 313 outputs the compression information 322 (Step 402).

  According to the data compression device 301 of FIG. 3, the information amount of information in which data is associated with the acquisition time at which the data was acquired can be reduced.

  FIG. 5 shows a first specific example of the data compression apparatus 301 of FIG. 5 includes a data processing unit 501 and a time processing unit 502. The compression target information 321 corresponds to log data of K items (K is an integer equal to or greater than 1), and includes a plurality of sets of numerical data and acquisition times for each item. The acquisition time is expressed by, for example, a 32-bit or 64-bit bit string. The sampling intervals of the K items may be the same or different.

  The data processing unit 501 arranges numerical data for each item in order of acquisition time. The time processing unit 502 obtains the acquisition start time, the sampling interval, and the acquisition end time with reference to the acquisition time corresponding to each numerical data for each item.

  FIG. 6 is a flowchart showing a specific example of data compression processing performed by the data compression apparatus 301 of FIG. In this example, the information of each item included in the compression target information 321 is represented by an array having a combination of acquisition time and numerical data.

  First, the data processing unit 501 sets 1 to a control variable k indicating an item to be processed (step 601), rearranges the elements included in the array of the kth item in the order of acquisition time, and the array X = { (T1, x1), (t2, x2),. . . } Is generated (step 602). The i-th element (ti, xi) (i = 1, 2,...) Of the array X represents a set of the acquisition time ti and the data xi. In the array X, the element (ti, xi) is the acquisition time. They are arranged in the order of ti.

  Next, the time processing unit 502 extracts the acquisition time t1 of the first element (t1, x1) of the array X as the acquisition start time Ts, and extracts the acquisition time of the last element of the array X as the acquisition end time Te. (Step 603). In addition, the time processing unit 502 obtains a difference in acquisition time from two consecutive elements in the array X, and obtains a sampling interval S based on the difference in acquisition time.

  For example, if data is not acquired at some acquisition times, the difference between the acquisition times of the two elements may be longer than the sampling interval S. In order to deal with such a case, the time processing unit 502 may adopt the shortest difference among the plurality of differences obtained from the array X as the sampling interval S.

  Next, the time processing unit 502 records the acquisition start time Ts, the acquisition end time Te, and the sampling interval S in the compression information of the kth item (step 604). Then, the data processing unit 501 extracts the numerical data xi from the array X in the order of the acquisition time, and the data sequence {x1, x2,. . . } Is recorded in the compression information of the kth item, and the output unit 313 outputs the compression information of the kth item.

  At this time, the output unit 313 may transfer the compression information to an auxiliary storage device such as a hard disk drive via an internal bus, for example, or transfer the compression information to a device outside the data compression device 301 via a communication network. May be.

  Next, the data processing unit 501 checks whether or not k has reached K (step 605). If k is smaller than K (step 605, NO), k is incremented by 1 (step 606). ), The processing after step 602 is repeated. If k reaches K (step 605, YES), the data compression apparatus 301 ends the process.

In step 603, the time processing unit 502 may determine the sampling number Ns of numerical data instead of the acquisition end time Te. The sampling number Ns is expressed by the following equation using the acquisition start time Ts, the acquisition end time Te, and the sampling interval S.
Ns = (Te−Ts) / S + 1 (1)

  According to such a data compression process, only the numerical data of each element of the array X is output as the compression information 322, and the acquisition time is omitted. Therefore, the information amount of the array X can be reduced. Further, by generating compressed information by collecting numerical data for each item, it is not necessary to record item information for each numerical data. This makes it possible to reduce the capacity of the auxiliary storage device that stores the log data and to shorten the log data transfer time.

  When restoring the compression target information 321 from the compression information 322, the data string {x1, x2,. . . }, The acquisition time of each numerical data can be restored by adding an integer multiple of the sampling interval S to the acquisition start time Ts corresponding to the position of each numerical data in the.

  By the way, in step 604 of FIG. 6, when the numerical data at a specific acquisition time is missing, for the subsequent numerical data, the actual acquisition time and the acquisition time restored from the compression information 322 There may be a gap between them. Therefore, in order to deal with such a lack of numerical data, the compression unit 312 may include information indicating that no data exists at a position corresponding to a specific acquisition time in the compression information 322.

  FIG. 7 shows a second specific example of the data compression apparatus 301 that outputs such compression information 322. The compression unit 312 of FIG. 7 has a configuration in which a missing information insertion unit 701 is added to the compression unit 312 of FIG. The missing information insertion unit 701 is a data string {x1, x2,. . . }, The missing information indicating that the data is missing is inserted at the position corresponding to the acquisition time when the numerical data in {} does not exist. The missing information may be empty data. The data compression apparatus 301 in FIG. 7 performs data compression processing similar to that in FIG.

  FIG. 8 is a flowchart showing an example of a first compression information output process performed by the data compression apparatus 301 in FIG. 7 in step 604 in FIG. First, the time processing unit 502 records the acquisition start time Ts, the acquisition end time Te, and the sampling interval S in the compression information of the kth item, and the output unit 313 outputs the acquisition start time Ts, the acquisition end time Te, The sampling interval S is output (step 801).

  Next, the missing information insertion unit 701 sets 1 to the control variable i indicating the position of the numerical data in the array X, and sets 1 to the control variable j indicating the rank of the actual acquisition time separated by the sampling interval S. Set (step 802). Then, the missing information insertion unit 701 compares the acquisition time ti with the calculation result of Ts + (j−1) × S (step 803).

  When ti matches Ts + (j−1) × S (step 803, YES), the data processing unit 501 extracts the numerical data xi corresponding to the acquisition time ti from the array X, and compresses the kth item. The information is recorded in the information, and the output unit 313 outputs the numerical data xi (step 804). Then, the missing information insertion unit 701 increments i and j by 1 (step 805).

  On the other hand, when ti does not match Ts + (j−1) × S (step 803, NO), the missing information insertion unit 701 inserts the missing information into the compressed information of the kth item, and the output unit 313 The missing information is output (step 807). Then, the missing information insertion unit 701 increments j by 1 (step 808).

  Next, the missing information insertion unit 701 compares i with the number of elements in the array X (step 806). If i is equal to or less than the number of elements (step 806, NO), the processing after step 803 is performed. repeat. If i exceeds the number of elements (step 806, YES), the missing information insertion unit 701 ends the process.

  In step 801, the time processing unit 502 may output the sampling number Ns instead of the acquisition end time Te.

  FIG. 9 shows an example of the compression information of “body temperature” output by the compression information output process of FIG. 8 when the plurality of records shown in FIG. 1 are used as the compression target information 321. The acquisition start time Ts in FIG. 9 is T, the sampling interval S is 10 seconds, and the sampling number Ns is BT_X.

  The data string in FIG. 9 includes BT_X pieces of numerical data, and empty data “−” corresponds to missing information. In the data string, numerical data in the array X is stored in the order of acquisition time, and empty data “-” is stored at a position where the numerical data is missing. According to such compressed information output processing, since the jth storage position in the data string corresponds to the jth actual acquisition time, the storage position, the acquisition start time Ts, From the sampling interval S, the actual acquisition time can be restored.

  However, when a large number of numerical data is missing, the number of missing information also increases, which may reduce the compression efficiency. For example, when the sampling interval S is different for each item, missing information is inserted into the item with a long sampling interval in accordance with the item with a short sampling interval, so a lot of missing information is generated.

  When the numerical data of item A acquired at intervals of 10 seconds and the numerical data of item B acquired at intervals of 1 second are recorded for 100 seconds, the data of item A is matched to the 100 data items of item B. Ten pieces of data and 90 pieces of missing information of item A are recorded. In this case, since the information amount of 90 pieces of missing information becomes large, it is desirable to omit these missing information.

  Therefore, in order to deal with the loss of a large number of numerical data, when there is no data at a specific acquisition time, the compression unit 312 compresses information indicating a position corresponding to the acquisition time in the data string of the compression information 322. Information 322 can be included. Thereby, missing information becomes unnecessary, and the information amount of the compressed information 322 can be further reduced.

  FIG. 10 shows a third specific example of the data compression apparatus 301 that outputs such compression information 322. The compression unit 312 in FIG. 10 has a configuration in which a missing position generation unit 1001 is added to the compression unit 312 in FIG. The missing position generation unit 1001 generates a data string {x1, x2,. . . }, The missing position information indicating the position corresponding to the acquisition time at which the numerical data does not exist is generated. The data compression apparatus 301 in FIG. 10 performs data compression processing similar to that in FIG.

  FIG. 11 is a flowchart illustrating an example of the second compression information output process performed by the data compression apparatus 301 in FIG. 10 in Step 604 in FIG. First, the time processing unit 502 records the acquisition start time Ts, the acquisition end time Te, and the sampling interval S in the compression information of the kth item (step 1101). Further, the data processing unit 501 extracts the numerical data xi from the array X in the order of the acquisition time, and the data sequence {x1, x2,. . . } Is recorded in the compression information of the kth item. The output unit 313 then obtains the acquisition start time Ts, the acquisition end time Te, the sampling interval S, and the data string {x1, x2,. . . } Is output.

  Next, the missing position generation unit 1001 sets 1 to the control variable i that indicates the position of the numerical data in the array X, and sets 1 to the control variable j that indicates the rank of the actual acquisition time separated by the sampling interval S. Set (step 1102). Then, the missing position generation unit 1001 compares the acquisition time ti with the calculation result of Ts + (j−1) × S (step 1103).

  When ti matches Ts + (j−1) × S (step 1103, YES), the missing position generation unit 1001 increments i and j by 1 (step 1104).

  On the other hand, if ti does not match Ts + (j−1) × S (step 1103, NO), the missing position generation unit 1001 records the value of j as missing position information in the compression information of the kth item and outputs it. The unit 313 outputs the missing position information (step 1106). Then, the missing position generation unit 1001 increments j by 1 (step 1107).

  Next, the missing position generation unit 1001 compares i with the number of elements in the array X (step 1105). If i is equal to or less than the number of elements (step 1105, NO), the processing after step 1103 is performed. repeat. If i exceeds the number of elements (step 1105, YES), the missing position generation unit 1001 ends the process.

  In step 1101, the time processing unit 502 may output the sampling number Ns instead of the acquisition end time Te.

  FIG. 12 shows an example of the compression information of “blood pressure” output by the compression information output process of FIG. 11 when the plurality of records shown in FIG. 1 are used as the compression target information 321. The acquisition start time Ts in FIG. 12 is T, the sampling interval S is 10 seconds, and the sampling number Ns is BP_X.

  The data string in FIG. 12 includes N1 numerical data. The number N1 of numerical data is the number obtained by subtracting the number of missing numerical data from the sampling number BP_X, and the numerical data in the array X is stored in the order of acquisition time in the data string.

  The missing position information 1201 indicates not the position of the numerical data existing in the data string but the rank of the actual acquisition time corresponding to the numerical data missing in the data string. For example, when numerical data is missing at the actual second acquisition time, y1 = 2. When a plurality of numerical data is missing, as the missing position information 1201, an array {y1, y2,. . . } Is used. For example, when numerical data is missing at the actual second to fourth acquisition times, the missing position information 1201 is {2, 3, 4}.

  According to such compression information output processing, from the missing position information corresponding to the actual acquisition time of the numerical data missing in the data string, the acquisition start time Ts, and the sampling interval S, the subsequent numerical values are obtained. It becomes possible to restore the actual acquisition time of data.

  Moreover, since the empty data becomes unnecessary by recording the missing position information, the information amount of the compressed information 322 can be further reduced. For example, when empty data is represented by a 32-bit bit string and one missing position is represented by a 16-bit bit string, the missing position information amount is halved by using missing position information instead of empty data. Reduced.

  However, as the number of missing numerical data further increases, the information amount of missing position information indicating the missing position also increases. Therefore, the compression unit 312 can include information indicating whether or not data exists at each acquisition time in the compression information 322 instead of the missing position information.

  FIG. 13 shows a fourth specific example of the data compression apparatus 301 that outputs such compression information 322. 13 has a configuration in which a presence / absence information generation unit 1301 is added to the compression unit 312 of FIG. The presence / absence information generation unit 1301 generates a data string {x1, x2,. . . }, Presence / absence information indicating whether or not numerical data exists is generated. The data compression apparatus 301 in FIG. 13 performs data compression processing similar to that in FIG.

  FIG. 14 is a flowchart illustrating an example of a third compression information output process performed by the data compression apparatus 301 in FIG. 13 in Step 604 in FIG. First, the time processing unit 502 records the acquisition start time Ts, the acquisition end time Te, and the sampling interval S in the compression information of the kth item (step 1101). Further, the data processing unit 501 extracts the numerical data xi from the array X in the order of the acquisition time, and the data sequence {x1, x2,. . . } Is recorded in the compression information of the kth item. The output unit 313 then obtains the acquisition start time Ts, the acquisition end time Te, the sampling interval S, and the data string {x1, x2,. . . } Is output.

  Next, the presence / absence information generation unit 1301 sets 1 to the control variable i indicating the position of the numerical data in the array X, and sets 1 to the control variable j indicating the rank of the actual acquisition time separated by the sampling interval S. Setting is made (step 1402). Then, the presence / absence information generation unit 1301 compares the acquisition time ti with the calculation result of Ts + (j−1) × S (step 1403).

  When ti matches Ts + (j−1) × S (YES in step 1403), the presence / absence information generation unit 1301 uses the bit value of logic “1” as the jth presence / absence information in the compression information of the kth item. Recording is performed, and the output unit 313 outputs the bit value (step 1404). Then, the presence / absence information generation unit 1301 increments i and j by 1 (step 1405).

  On the other hand, if ti does not match Ts + (j−1) × S (step 1403, NO), the presence / absence information generation unit 1301 compresses the kth item using the bit value of logic “0” as the jth presence / absence information. The information is recorded in the information, and the output unit 313 outputs the bit value (step 1407). Then, the presence / absence information generation unit 1301 increments j by 1 (step 1408).

  Next, the presence / absence information generation unit 1301 compares i with the number of elements in the array X (step 1406). If i is equal to or less than the number of elements (step 1406, NO), the processing after step 1403 is performed. repeat. If i exceeds the number of elements (step 1406, YES), the presence / absence information generation unit 1301 ends the process.

  In step 1401, the time processing unit 502 may output the sampling number Ns instead of the acquisition end time Te.

  FIG. 15 shows an example of the compression information of “heart rate” output by the compression information output process of FIG. 14 when the plurality of records shown in FIG. 1 are used as the compression target information 321. The acquisition start time Ts in FIG. 15 is T, the sampling interval S is 1 second, and the sampling number Ns is HR_X.

  Further, the data string in FIG. 15 includes N2 numerical data. The number N2 of numerical data is a number obtained by subtracting the number of missing numerical data from the sampling number HR_X, and the numerical data in the array X is stored in the order of acquisition time in the data string. Presence / absence information 1501 indicates whether or not numerical data exists in the data string for each of HR_X acquisition times separated by the sampling interval S. For example, a bit value “1” at the first acquisition time indicates that numerical data exists in the data string, and a bit value “0” at the second acquisition time indicates that the numerical data is in the data string. Indicates that it does not exist.

  According to such compression information output processing, from the presence / absence information indicating whether or not numerical data exists at each acquisition time, the acquisition start time Ts, and the sampling interval S, each numerical data in the data string is It becomes possible to restore the actual acquisition time.

  Moreover, since the presence / absence information is recorded, empty data or missing position information becomes unnecessary, so that the information amount of the compressed information 322 can be further reduced. For example, when M missing positions are recorded using empty data represented by a 32-bit bit string, the information amount of the missing positions is 32 Mbits. Further, when M missing positions are recorded using missing position information represented by a 16-bit bit string, the information amount of the missing position is 16 M bits. On the other hand, when the presence / absence information for Ns acquisition times is recorded, the information amount of the presence / absence information is Ns bits.

  In this case, the information amount of the missing position can be reduced by using the presence / absence information instead of the empty data for the item in which the missing occurs once every 32 times. Further, by using presence / absence information instead of missing position information for items in which missing occurs once or more in 16 times, the information amount of missing positions can be further reduced.

  When the amount of information of the compression target information 321 is large, the array of each item included in the compression target information 321 is divided into a plurality of blocks, and data compression processing is performed in units of blocks, thereby efficiently compressing the compression target information 321. It becomes possible to compress.

  FIG. 16 shows a fifth specific example of the data compression apparatus 301 that performs data compression processing in units of blocks. 16 has a configuration in which a dividing unit 1601 is added to the compression unit 312 of FIG. The dividing unit 1601 divides the array of each item included in the compression target information 321 into a plurality of blocks, and the data processing unit 501 extracts a plurality of data in order of acquisition time for each block, and compresses the plurality of blocks. Generate information. The data compression device 301 in FIG. 16 performs data compression processing similar to that in FIG.

  FIG. 17 is a flowchart illustrating an example of the fourth compression information output process performed by the data compression apparatus 301 in FIG. 16 in Step 604 in FIG. In this compressed information output process, the array X is divided into a plurality of blocks having a block size BL.

  First, the dividing unit 1601 sets 1 to the control variable b indicating the block order, and the BL elements in the array X from (BL × (b−1) +1) to (BL × b) are Designated as an element of the b-th block (step 1701).

  Next, the time processing unit 502 uses the acquisition time t (BL × (b−1) +1) of the (BL × (b−1) +1) th element in the array X as the acquisition start time of the bth block. Extracted as Ts (b) (step 1702). In addition, the time processing unit 502 extracts the acquisition time t (BL × b) of the (BL × b) -th element in the array X as the acquisition end time Te (b) of the b-th block. Then, the time processing unit 502 records the acquisition start time Ts (b), the acquisition end time Te (b), and the sampling interval S in the block unit compression information of the bth block for the kth item.

  Further, the data processing unit 501 extracts the numerical data x (BL × (b−1) +1) to the numerical data x (BL × b) from the array X in the order of acquisition time. Then, the data processing unit 501 includes a data string {x (BL × (b−1) +1), x (BL × (b−1) +2),. . . , X (BL × b)} is recorded in the block unit compression information of the b-th block for the k-th item. The output unit 313 includes an acquisition start time Ts (b), an acquisition end time Te (b), a sampling interval S, and a data string {x (BL × (b−1) +1), x (BL × (b−1)). +2),. . . , X (BL × b)}.

  Next, the dividing unit 1601 increments b by 1 (step 1703), and compares (BL × (b−1) +1) with the number of elements in the array X (step 1704). When (BL × (b−1) +1) is equal to or less than the number of elements (step 1704, NO), the data compression apparatus 301 repeats the processing after step 1702 for the next block. If (BL × (b−1) +1) exceeds the number of elements (step 1704, YES), the dividing unit 1601 ends the process.

  In step 1702, when the b-th block corresponds to the last block of the array X and the number of remaining elements is smaller than the block size BL, the time processing unit 502 sets the acquisition time of the last element in the array X. , B as the acquisition end time Te (b) of the block. Further, the data processing unit 501 extracts the numerical data of the last element from the numerical data x (BL × (b−1) +1) from the array X.

  According to such compression information output processing, it is possible to efficiently compress the compression target information 321 having a large size. 7, 10, and 13, similarly to the data compression apparatus 301 in FIG. 16, a division unit 1601 can be added to the compression unit 312 to perform data compression processing in units of blocks. .

  FIG. 18 illustrates a functional configuration example of the data restoration apparatus according to the embodiment. The data restoration device 1801 in FIG. 18 includes a storage unit 1811, a restoration unit 1812, and an output unit 1813.

  The storage unit 1811 stores compression information 322 output from the data compression apparatus 301 in FIG. The restoration unit 1812 obtains predetermined data acquisition time or data acquired at the predetermined acquisition time from the compression information 322, and the output unit 1813 outputs the acquisition time or data obtained by the restoration unit 1812.

  FIG. 19 is a flowchart showing an example of time restoration processing performed by the data restoration device 1801 of FIG. First, the restoration unit 1812 extracts predetermined data from a plurality of data included in the compression target information 321 from the compression information 322 (step 1901). Next, the restoration unit 1812 obtains the acquisition time of the data based on the position of the extracted data in the compression information 322 and the acquisition start time and the interval information indicating the sampling interval included in the compression information 322 ( Step 1902). Then, the output unit 1813 outputs the acquisition time obtained by the restoration unit 1812 (step 1903).

  According to the time restoration process of FIG. 19, only the acquisition time of desired data can be obtained without restoring the entire compression information 322 output from the data compression apparatus 301 of FIG.

  FIG. 20 is a flowchart illustrating an example of data extraction processing performed by the data restoration device 1801 of FIG. First, the restoration unit 1812 specifies the position of data acquired at a predetermined acquisition time included in the compression information 322 based on the acquisition start time and interval information indicating the sampling interval included in the compression information 322. (Step 2001). Next, the restoration unit 1812 extracts data acquired at a predetermined acquisition time from the specified position in the compression information 322 (step 2002). Then, the output unit 1813 outputs the data extracted by the restoration unit 1812 (Step 2003).

  According to the data extraction process of FIG. 20, it is possible to extract only data acquired at a desired acquisition time without restoring the entire compression information 322 output from the data compression apparatus 301 of FIG.

  FIG. 21 shows a first specific example of a data restoration device 1801 that performs time restoration processing. The restoration unit 1812 in FIG. 21 includes a data extraction unit 2101 and a time restoration unit 2102. The data extraction unit 2101 extracts predetermined numerical data from the compression information 322, and the time restoration unit 2102 obtains the acquisition time of the numerical data extracted by the data extraction unit 2101.

  FIG. 22 is a flowchart showing a first specific example of time restoration processing performed by the data restoration device 1801 of FIG. In this example, the compression information 322 is output from the data compression device 301 of FIG. 7, and, as shown in FIG. 9, the missing information is inserted at the position corresponding to the acquisition time when there is no numeric data in the data string. Has been.

  First, the data extraction unit 2101 receives the numerical value A of the designated item input by the operator (step 2201), and a control variable indicating the position of the numerical data in the data string of the compressed information of the designated item included in the compressed information 322. j is set to 1 (step 2202). Then, the data extraction unit 2101 compares the j-th numerical data xj in the data string with the numerical value A (step 2203).

  If xj does not match the numerical value A (step 2203, NO), the data extraction unit 2101 increments j by 1 (step 2205), and repeats the processing after step 2203. For example, when xj is missing information, since xj does not match the numerical value A, the data extraction unit 2101 increments j and compares the next xj with the numerical value A.

  If xj matches the numerical value A (step 2203, YES), the time restoration unit 2102 uses the acquisition start time Ts and the sampling interval S included in the compression information of the designated item, and Ts + (j−1) × S is calculated (step 2204). The output unit 1813 outputs the calculation result calculated by the time restoration unit 2102. This calculation result represents the acquisition time when the numerical value A is acquired as the numerical data of the designated item.

  FIG. 23 is a flowchart showing a second specific example of time restoration processing performed by the data restoration device 1801 of FIG. In this example, the compression information 322 is output from the data compression apparatus 301 in FIG. 10 and includes missing position information as shown in FIG.

  First, the data extraction unit 2101 receives the numerical value A of the designated item input by the operator (step 2301), and a control variable indicating the position of the numerical data in the data string of the compressed information of the designated item included in the compressed information 322 i is set to 1 (step 2302). Then, the data extraction unit 2101 compares the i-th numerical data xi in the data string with the numerical value A (step 2303).

  When xi does not match the numerical value A (step 2303, NO), the data extraction unit 2101 increments i by 1 (step 2307), and repeats the processing after step 2303.

  If xi matches the numerical value A (step 2303, YES), the time restoration unit 2102 sets 1 to the control variable p indicating the position in the missing position information included in the compression information of the designated item (step 2304). ). Then, the time restoration unit 2102 compares the p-th information yp in the missing position information with i (step 2305).

  When yp is equal to or smaller than i (step 2305, NO), the time restoration unit 2102 increments p by 1 (step 2308), and repeats the processing after step 2305.

  If yp exceeds i (step 2305, YES), the time restoration unit 2102 uses the acquisition start time Ts and the sampling interval S included in the compression information of the designated item, and Ts + (p + i−2) × S. Is calculated (step 2306). The output unit 1813 outputs the calculation result calculated by the time restoration unit 2102. This calculation result represents the acquisition time when the numerical value A is acquired as the numerical data of the designated item.

  In step 2305, when p exceeds the total number of pieces of information in the missing position information and there is no information yp corresponding to p, the time restoration unit 2102 assumes that yp exceeds i, Processing of 2306 is performed.

  FIG. 24 is a flowchart showing a third specific example of the time restoration process performed by the data restoration apparatus 1801 of FIG. In this example, the compression information 322 is output from the data compression apparatus 301 in FIG. 13 and includes presence / absence information as shown in FIG.

  First, the data extraction unit 2101 receives the numerical value A of the designated item input by the operator (step 2401), and a control variable indicating the position of the numerical data in the data string of the compressed information of the designated item included in the compressed information 322 i is set to 1 (step 2402). Then, the data extraction unit 2101 compares the i-th numerical data xi in the data string with the numerical value A (step 2403).

  If xi does not match the numerical value A (step 2403, NO), the data extraction unit 2101 increments i by 1 (step 2406), and repeats the processing after step 2403.

  If xi matches the numerical value A (step 2403, YES), the time restoration unit 2102 checks the bit value in the presence / absence information included in the compression information of the designated item in order from the top, and the i-th bit value A position j where “1” appears is obtained (step 2404). The j-th bit value zj in the presence / absence information is “1”, i bit values of j bit values z1 to zj are “1”, and the remaining bit values of z1 to zj are In the case of “0”, the position j corresponds to the i-th bit value “1”.

  Next, the time restoration unit 2102 calculates Ts + (j−1) × S using the acquisition start time Ts and the sampling interval S included in the compression information of the designated item (step 2405). The output unit 1813 outputs the calculation result calculated by the time restoration unit 2102. This calculation result represents the acquisition time when the numerical value A is acquired as the numerical data of the designated item.

  FIG. 25 shows a second specific example of the data restoration apparatus 1801 that performs data extraction processing. 25 includes a position specifying unit 2501 and a data extracting unit 2502. The position specifying unit 2501 specifies the position of the numerical data acquired at a predetermined acquisition time in the compression information 322, and the data extracting unit 2502 extracts the numerical data from the position specified by the position specifying unit 2501.

  FIG. 26 is a flowchart showing a first specific example of data extraction processing performed by the data restoration device 1801 of FIG. In this example, the compression information 322 is output from the data compression device 301 of FIG. 7, and, as shown in FIG. 9, the missing information is inserted at the position corresponding to the acquisition time when there is no numeric data in the data string. Has been.

  First, the position specifying unit 2501 receives the time B of the designated item input by the operator (step 2701). Next, the position specifying unit 2501 obtains the rank j = (B−Ts) / S + 1 corresponding to the time B using the acquisition start time Ts and the sampling interval S of the compression information of the designated item included in the compression information 322. (Step 2602). This rank j represents the position of the numerical data in the data string included in the compression information of the designated item.

  Next, the data extraction unit 2502 extracts the j-th numerical data xj in the data string, and the output unit 1813 outputs xj (step 2603). When xj is missing information, the missing information is output to indicate that numerical data at time B does not exist.

  FIG. 27 is a flowchart showing a second specific example of the data extraction process performed by the data restoration device 1801 of FIG. In this example, the compression information 322 is output from the data compression apparatus 301 in FIG. 10 and includes missing position information as shown in FIG.

  First, the position specifying unit 2501 receives the time B of the designated item input by the operator (step 2701). Next, the position specifying unit 2501 obtains the rank j = (B−Ts) / S + 1 corresponding to the time B using the acquisition start time Ts and the sampling interval S of the compression information of the designated item included in the compression information 322. (Step 2702).

  Next, the position specifying unit 2501 sets 1 to the control variable p indicating the position in the missing position information included in the compression information of the designated item (step 2703). Then, the position specifying unit 2501 compares the p-th information yp in the missing position information with j (step 2704).

  When yp is smaller than j (step 2704, NO), the position specifying unit 2501 increments p by 1 (step 2707), and repeats the processing after step 2704. If yp is greater than or equal to j (step 2704, YES), the position specifying unit 2501 checks whether yp matches j (step 2705).

  If yp does not match j (step 2705, NO), the position specifying unit 2501 obtains the position j−p + 1 of the numerical data acquired at time B in the data string included in the compression information of the designated item (step 2705) 2706). Then, the data extraction unit 2502 extracts the (j−p + 1) th numerical data x (j−p + 1) in the data string, and the output unit 1813 outputs x (j−p + 1).

  On the other hand, if yp matches j (step 2705, YES), the output unit 1813 outputs information indicating that numerical data at time B does not exist (step 2708).

  In step 2704, if p exceeds the total number of pieces of information in the missing position information and there is no information yp corresponding to p, the position specifying unit 2501 assumes that yp has exceeded j, Process 2706 is performed.

  FIG. 28 is a flowchart showing a third specific example of the data extraction process performed by the data restoration device 1801 of FIG. In this example, the compression information 322 is output from the data compression apparatus 301 in FIG. 13 and includes presence / absence information as shown in FIG.

  First, the position specifying unit 2501 receives the time B of the designated item input by the operator (step 2801). Next, the position specifying unit 2501 obtains the rank j = (B−Ts) / S + 1 corresponding to the time B using the acquisition start time Ts and the sampling interval S of the compression information of the designated item included in the compression information 322. (Step 2802).

  Next, the position specifying unit 2501 checks whether or not the j-th bit value zj in the presence / absence information included in the compression information of the designated item is “0” (step 2803).

  When the bit value zj is “1” (step 2803, NO), the position specifying unit 2501 obtains the number i of the bit values “1” included in the j bit values z1 to zj in the presence / absence information (step 803). 2804). This number i represents the position of the numerical data acquired at time B in the data string included in the compression information of the designated item. Therefore, the data extraction unit 2502 extracts the i-th numerical data xi in the data string, and the output unit 1813 outputs xi (step 2805).

  On the other hand, when the bit value zj is “0” (step 2803, YES), the output unit 1813 outputs information indicating that the numerical data at time B does not exist (step 2806).

  By the way, in the data compression apparatus 301 of FIGS. 3, 5, 7, 10, 13, and 16, the compression unit 312 includes the acquisition start time Ts, the acquisition end time Te, and the number of samplings included in the compression information 322. Ns, sampling interval S, and data string may be encoded. For example, when the minimum value of the numerical data in the data string is 50 and the maximum value is 177, each numerical data is 7 bits (2 ^ 7) by shifting the numerical data of 50 to 177 to 0 to 127. = 128). Thereby, the information amount of the compressed information 322 is further reduced.

  The configuration of the data compression device 301 in FIGS. 3, 5, 7, 10, 13, and 16 is merely an example, and some components are omitted depending on the use and conditions of the data compression device 301. Or you may change. The configuration of the data restoration device 1801 in FIGS. 18, 21, and 25 is merely an example, and some components may be omitted or changed according to the use and conditions of the data restoration device 1801.

  4, 6, 8, 11, 14, 17, 19, 20, 22 to 24, and 26 to 28 are merely examples, and the data compression apparatus 301 and data Depending on the configuration and conditions of the restoration device 1801, some processes may be omitted or changed. For example, when the compression target information 321 corresponds to one item of log data, the processing of step 601, step 605, and step 606 in FIG. 6 can be omitted.

  In step 2203 in FIG. 22, the data extraction unit 2101 may determine that xj matches the numerical value A when the difference between the numerical data xj and the numerical value A is smaller than a predetermined threshold. Similarly, in step 2303 in FIG. 23 and step 2403 in FIG. 24, the data extraction unit 2101 determines that xi matches the numerical value A when the difference between the numerical data xi and the numerical value A is smaller than a predetermined threshold value. Also good.

  In step 2602 in FIG. 26, step 2702 in FIG. 27, and step 2802 in FIG. 28, if the value of (B−Ts) / S + 1 does not become an integer, the position specifying unit 2501 sets an integer close to that value as the rank j. It may be used.

  The records in FIGS. 1 and 2 and the compression information in FIGS. 9, 12, and 15 are merely examples, and some information is omitted or changed depending on the configuration and conditions of the data compression device 301 and the data decompression device 1801. May be.

  For example, instead of body temperature, blood pressure, and heart rate, log data of other items such as engine speed and speed may be used. A sampling interval other than 10 seconds may be used as the sampling interval S in FIGS. 9 and 12, and a sampling interval other than 1 second may be used as the sampling interval S in FIG. The acquisition end time Te or the sampling number Ns may be omitted from the compression information.

  29 is an information processing apparatus for realizing the data compression apparatus 301 of FIGS. 3, 5, 7, 10, 13, and 16 and the data decompression apparatus 1801 of FIGS. 18, 21, and 25. The example of a structure of (computer) is shown. 29 includes a CPU 2901, a memory 2902, an input device 2903, an output device 2904, an auxiliary storage device 2905, a medium driving device 2906, and a network connection device 2907. These components are connected to each other by a bus 2908.

  The memory 2902 is, for example, a semiconductor memory such as a read only memory (ROM), a random access memory (RAM), or a flash memory, and stores programs and data used for processing. The memory 2902 can be used as the storage unit 311 or the storage unit 1811.

  When the information processing apparatus is the data compression apparatus 301, the CPU 2901 (processor) operates as the compression unit 312 by executing a program using the memory 2902, for example. The CPU 2901 also operates as a data processing unit 501, a time processing unit 502, a missing information insertion unit 701, a missing position generation unit 1001, a presence / absence information generation unit 1301, and a division unit 1601. When the CPU 2901 outputs the compression information 322 to the auxiliary storage device 2905 via the bus 2908, the CPU 2901 also operates as the output unit 313.

  When the information processing apparatus is the data restoration apparatus 1801, the CPU 2901 operates as the restoration unit 1812 by executing a program using the memory 2902, for example. The CPU 2901 also operates as a data extraction unit 2101, a time restoration unit 2102, a position specification unit 2501, and a data extraction unit 2502.

  The input device 2903 is, for example, a keyboard, a pointing device, or the like, and is used for inputting an instruction or information from an operator or a user. The output device 2904 is, for example, a display device, a printer, a speaker, or the like, and is used to output an inquiry or instruction to an operator or user and a processing result. When the information processing device is the data restoration device 1801, the output device 2904 can be used as the output unit 1813, and the processing result may be the acquisition time or data obtained by the restoration unit 1812.

  The auxiliary storage device 2905 is, for example, a magnetic disk device, an optical disk device, a magneto-optical disk device, a tape device, or the like. The auxiliary storage device 2905 may be a hard disk drive or a flash memory. The information processing apparatus can store programs and data in the auxiliary storage device 2905 and load them into the memory 2902 for use. The auxiliary storage device 2905 can be used as the storage unit 311 or the storage unit 1811.

  The medium driving device 2906 drives a portable recording medium 2909 and accesses the recorded contents. The portable recording medium 2909 is a memory device, a flexible disk, an optical disk, a magneto-optical disk, or the like. The portable recording medium 2909 may be a compact disk read only memory (CD-ROM), a digital versatile disk (DVD), a universal serial bus (USB) memory, or the like. An operator or user can store programs and data in the portable recording medium 2909 and load them into the memory 2902 for use.

  As described above, the computer-readable recording medium for storing the program and data used for processing is a physical (non-transitory) recording medium such as the memory 2902, the auxiliary storage device 2905, or the portable recording medium 2909. It is a medium.

  The network connection device 2907 is a communication interface that is connected to a communication network such as a local area network (LAN) or the Internet and performs data conversion accompanying communication. The information processing apparatus can receive a program and data from an external apparatus via the network connection apparatus 2907 and load them into the memory 2902 for use. The network connection device 2907 can be used as the output unit 313 or the output unit 1813.

  Note that the information processing apparatus does not have to include all the components shown in FIG. 29, and some of the components can be omitted depending on the application and conditions. For example, the input device 2903 and the output device 2904 may be omitted when an interface between the information processing apparatus and the operator or user is unnecessary. When the portable recording medium 2909 or the communication network is not used, the medium driving device 2906 or the network connection device 2907 may be omitted.

  When the information processing device is a mobile terminal device such as a smartphone having a call function, it may include a device for a call such as a microphone and a speaker, or may include an imaging device such as a camera.

  Although the disclosed embodiments and their advantages have been described in detail, those skilled in the art can make various modifications, additions and omissions without departing from the scope of the present invention as explicitly set forth in the claims. Let's go.

Regarding the embodiment described with reference to FIGS. 1 to 29, the following additional notes are disclosed.
(Appendix 1)
Extracting the plurality of data in the order of the acquisition time from the compression target information including a plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data,
Outputting compressed information including the plurality of data extracted in the order of the acquisition time, the acquisition start time, and interval information indicating the sampling interval;
A data compression program that causes a computer to execute processing.
(Appendix 2)
The computer according to claim 1, wherein when there is no data at a specific acquisition time, the computer includes missing information indicating that no data exists at a position corresponding to the specific acquisition time in the compressed information. Data compression program.
(Appendix 3)
The computer according to claim 1, wherein when there is no data at a specific acquisition time, the computer includes missing position information indicating a position corresponding to the specific acquisition time in the compression information in the compression information. Data compression program.
(Appendix 4)
The data compression program according to claim 1, wherein the computer includes presence / absence information indicating whether or not data exists at each acquisition time in the compression information.
(Appendix 5)
The compression target information includes a plurality of pieces of compression target information for a plurality of items, the sampling intervals of the plurality of pieces of compression target information are different, and the computer includes a plurality of pieces of information corresponding to the plurality of pieces of compression target information. The data according to any one of appendices 1 to 4, wherein compressed data is output, and each of the plurality of pieces of compressed information includes interval information indicating a sampling interval of each of the plurality of pieces of compression target information. Compression program.
(Appendix 6)
The computer divides the compression target information into a plurality of blocks, extracts a plurality of data in order of the acquisition time for each block, the compression information includes a plurality of block unit compression information, and each block unit compression information is The data compression program according to any one of appendices 1 to 4, including the plurality of data extracted for each block, an acquisition start time for each block, and the interval information.
(Appendix 7)
Compression generated by extracting the plurality of data in the order of the acquisition time from the compression target information including the plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data. Based on the information, extracting predetermined data from the plurality of data,
Obtaining the acquisition time of the predetermined data based on the position of the predetermined data in the compression information and the interval information indicating the acquisition start time and the sampling interval included in the compression information;
Outputting the acquisition time of the predetermined data;
A data restoration program that causes a computer to execute processing.
(Appendix 8)
Compression generated by extracting the plurality of data in the order of the acquisition time from the compression target information including the plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data. Based on the acquisition start time and the interval information indicating the sampling interval included in the information, the position of the data acquired at a predetermined acquisition time included in the compression information is specified,
Extracting the data acquired at the predetermined acquisition time from the specified position in the compression information,
Outputting the data acquired at the predetermined acquisition time;
A data restoration program that causes a computer to execute processing.
(Appendix 9)
A storage unit that stores compression target information including a plurality of data acquired at a predetermined sampling interval from an acquisition start time and an acquisition time of each of the plurality of data;
The plurality of data is extracted from the compression target information in the order of the acquisition time, and includes the plurality of data extracted in the order of the acquisition time, the acquisition start time, and interval information indicating the sampling interval. A compression unit for generating information;
An output unit for outputting the compression information;
A data compression apparatus comprising:
(Appendix 10)
Supplementary note 9 wherein when the data at a specific acquisition time does not exist, the compression unit includes missing information indicating that no data exists in a position corresponding to the specific acquisition time in the compression information. The data compression apparatus described.
(Appendix 11)
Item 9. The supplementary note 9, wherein when the data at a specific acquisition time does not exist, the compression unit includes, in the compression information, missing position information indicating a position corresponding to the specific acquisition time in the compression information. Data compression device.
(Appendix 12)
The data compression apparatus according to appendix 9, wherein the compression unit includes presence / absence information indicating whether or not data exists at each acquisition time in the compression information.
(Appendix 13)
Computer
Extracting the plurality of data in the order of the acquisition time from the compression target information including a plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data,
Outputting compressed information including the plurality of data extracted in the order of the acquisition time, the acquisition start time, and interval information indicating the sampling interval;
A data compression method.
(Appendix 14)
The computer 13 includes missing information indicating that data does not exist in a position corresponding to the specific acquisition time in the compressed information when there is no data at the specific acquisition time. Data compression method.
(Appendix 15)
The computer according to claim 13, wherein the computer includes missing position information indicating a position corresponding to the specific acquisition time in the compression information when the data at the specific acquisition time does not exist. Data compression method.
(Appendix 16)
14. The data compression method according to appendix 13, wherein the computer includes presence / absence information indicating whether or not data exists at each acquisition time in the compression information.

301 Data compression apparatus 311, 1811 Storage unit 312 Compression unit 313, 1813 Output unit 321 Compression target information 322 Compression information 501 Data processing unit 502 Time processing unit 701 Missing information insertion unit 1001 Missing position generation unit 1201 Missing position information 1301 Presence / absence information generation Unit 1501 Presence / absence information 1601 Division unit 1801 Data restoration device 1812 Restoration unit 2101, 2502 Data extraction unit 2102 Time restoration unit 2501 Location specifying unit 2901 CPU
2902 Memory 2903 Input device 2904 Output device 2905 Auxiliary storage device 2906 Medium drive device 2907 Network connection device 2908 Bus 2909 Portable recording medium

Claims (10)

Extracting the plurality of data in the order of the acquisition time from the compression target information including a plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data,
Outputting compressed information including the plurality of data extracted in the order of the acquisition time, the acquisition start time, and interval information indicating the sampling interval;
A data compression program that causes a computer to execute processing.   The computer includes missing information indicating that data does not exist in a position corresponding to the specific acquisition time in the compressed information when there is no data at the specific acquisition time. The data compression program described.   The said computer includes the missing position information which shows the position corresponding to the said specific acquisition time in the said compression information in the said compression information, when the data in specific acquisition time do not exist. Data compression program.   The data compression program according to claim 1, wherein the computer includes presence / absence information indicating whether or not data exists at each acquisition time in the compression information.   The compression target information includes a plurality of pieces of compression target information for a plurality of items, the sampling intervals of the plurality of pieces of compression target information are different, and the computer includes a plurality of pieces of information corresponding to the plurality of pieces of compression target information. The compressed information is output, and each of the plurality of pieces of compressed information includes interval information indicating a sampling interval of each of the plurality of pieces of compression target information. Data compression program.   The computer divides the compression target information into a plurality of blocks, extracts a plurality of data in order of the acquisition time for each block, the compression information includes a plurality of block unit compression information, and each block unit compression information is 5. The data compression program according to claim 1, comprising the plurality of data extracted for each block, an acquisition start time for each block, and the interval information. A storage unit that stores compression target information including a plurality of data acquired at a predetermined sampling interval from an acquisition start time and an acquisition time of each of the plurality of data;
The plurality of data is extracted from the compression target information in the order of the acquisition time, and includes the plurality of data extracted in the order of the acquisition time, the acquisition start time, and interval information indicating the sampling interval. A compression unit for generating information;
An output unit for outputting the compression information;
A data compression apparatus comprising: Computer
Extracting the plurality of data in the order of the acquisition time from the compression target information including a plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data,
Outputting compressed information including the plurality of data extracted in the order of the acquisition time, the acquisition start time, and interval information indicating the sampling interval;
A data compression method. Compression generated by extracting the plurality of data in the order of the acquisition time from the compression target information including the plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data. Based on the information, extracting predetermined data from the plurality of data,
Obtaining the acquisition time of the predetermined data based on the position of the predetermined data in the compression information and the interval information indicating the acquisition start time and the sampling interval included in the compression information;
Outputting the acquisition time of the predetermined data;
A data restoration program that causes a computer to execute processing. Compression generated by extracting the plurality of data in the order of the acquisition time from the compression target information including the plurality of data acquired at a predetermined sampling interval from the acquisition start time and the acquisition time of each of the plurality of data. Based on the acquisition start time and the interval information indicating the sampling interval included in the information, the position of the data acquired at a predetermined acquisition time included in the compression information is specified,
Extracting the data acquired at the predetermined acquisition time from the specified position in the compression information,
Outputting the data acquired at the predetermined acquisition time;
A data restoration program that causes a computer to execute processing.

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