JP2009122820A - Remote monitoring information collection system, remote monitoring information collection device, monitoring terminal, and remote monitoring information collection method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a remote monitoring information collection system for collecting remote monitoring information by suppressing increase of communication data quantity. <P>SOLUTION: This remote monitoring information collection system includes a plurality of monitoring terminals and a remote monitoring information collection device connected through a network to the plurality of monitoring terminals. The monitoring terminal stores the remote monitoring information and time information when the remote monitoring information is acquired in association with each other in an acquisition data storage part, and reads the remote monitoring information to be specified on the basis of the time information included in a data request in response to the data request received from the remote monitoring information collection device with time information associated with the remote monitoring information from the acquisition data storage part, and transmits it to the remote monitoring information collection device. The remote monitoring information collection device receives the remote monitoring information and time information transmitted from the monitoring terminal, and stores it in a collection data storage part, and transmits the data request including the time information associated with the latest remote monitoring information to the monitoring terminal among the collection data stored in the collection data storage part to the monitoring terminal. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a remote monitoring information collection system, a remote monitoring information collection device, a monitoring terminal, and a remote monitoring information collection method.

  Conventionally, there is a power monitoring system disclosed in Patent Document 1 as a system that collects remote monitoring information so that a missing portion does not occur in collected data even if a communication abnormality occurs. The power monitoring system disclosed in Patent Document 1 normally collects remote monitoring information by transferring power consumption data (remote monitoring information) acquired by a terminal to a management PC via a communication controller. .

Here, when a communication abnormality occurs, first, the terminal transmits the address of the terminal to the management PC via the communication controller. Next, the management PC receives this address, determines that a communication abnormality has occurred, and records the reception time as the communication abnormality occurrence time. When the communication is restored, the management PC checks whether there is any missing data stored in the remote monitoring information of the management PC from the communication error occurrence time to the recovery time. When there is missing data, the management PC transmits the data of the terminal address and communication abnormality occurrence time to the terminal via the communication controller. The terminal reads the corresponding remote monitoring information data from the backup memory in the terminal and transmits it to the management PC. As a result, the management PC can acquire the data of the remote monitoring information stored in the backup memory of the terminal, and the data of the remote monitoring information is missing if the communication abnormality occurs within a certain time. Can be recovered.
JP 2004-20278 A

  However, in Patent Document 1, there is a problem that the communication data amount increases when the remote monitoring information data is reacquired after recovery from the communication abnormality, and the communication efficiency deteriorates. The communication controller collected remote monitoring information data from each terminal by a polling operation, and sent all data to the management PC at once every time data of all connected terminals was collected. . For this reason, the communication controller transmits data including data already acquired by the management PC. In addition, since the data to be transmitted is raw data, the amount of communication data increases every time the number of connected terminals increases.

  Furthermore, in Japanese Patent Laid-Open No. 2004-228867, the loss of data in the remote monitoring information is automatically recovered when a communication abnormality occurs. However, the loss of data acquired by the management PC does not occur only in the case of a communication abnormality. For example, even if the terminal, the communication controller, and the management PC are stopped due to maintenance or the like, the management PC cannot acquire the data of the remote monitoring information, and thus data is lost.

  The present invention has been made to solve such problems, and an object thereof is to provide a remote monitoring information collection system capable of collecting remote monitoring information while suppressing an increase in the amount of communication data. .

  A remote monitoring information collecting system according to a first aspect of the present invention includes a plurality of monitoring terminals, and a remote monitoring information collecting apparatus connected to the plurality of monitoring terminals via a network. The monitoring terminal associates the remote monitoring information with the time information for acquiring the remote monitoring information and stores it in the acquisition data storage unit, and in response to the data request received from the remote monitoring information collection device The remote monitoring information specified based on the time information included in the data request is read from the acquired data storage unit together with the time information associated with the remote monitoring information and transmitted to the remote monitoring information collecting device The remote monitoring information collection device receives the remote monitoring information and time information transmitted from the monitoring terminal and stores them in the collected data storage unit; and the collected data storage unit Of the collected data stored, the data request including the time information associated with the latest remote monitoring information is transmitted to the monitoring terminal. Comprising a data request transmitting means.

  As a result, the monitoring terminal does not transmit the data received by the remote monitoring information collection device until the previous time, and can suppress an increase in the amount of communication data that is unnecessary in the data request.

  In the remote monitoring information collection system described above, the data transmission means of the monitoring terminal compresses the remote monitoring information and time information and then transmits the compressed data to the remote monitoring information collection device. The data receiving means of the collecting device may store the data-compressed remote monitoring information and time information in the collected data storage unit after decompressing the data. Thereby, an increase in the amount of communication data between the monitoring terminal and the remote monitoring information collecting device can be suppressed.

  Furthermore, in the above-described remote monitoring information collection system, the data transmission unit may read remote monitoring information associated with time information after the time information included in the data request from the acquired data storage unit.

  As a result, the monitoring terminal does not transmit the data received by the remote monitoring information collection device until the previous time, and can suppress an increase in the amount of communication data that is unnecessary in the data request.

  In the above-described remote monitoring information collection system, the data request transmission unit of the remote monitoring information collection device may transmit the data request based on periodic information that defines an interval for transmitting the data request. Thereby, the remote monitoring information collecting apparatus can collect data regularly.

  Furthermore, in the remote monitoring information collection system described above, in the remote monitoring information collection device, when the response to the data request is an error, the period information is changed, and the response to the data request is normal. When the received time information is the latest, it is preferable to further include period information update means for restoring the period information. Thereby, as soon as communication becomes possible, data loss can be recovered quickly.

  In the remote monitoring information collecting system described above, the data request transmitting means of the remote monitoring information collecting apparatus transmits a data request including a compression method designation value for designating a data compression method in the monitoring terminal, and the monitoring terminal The data transmission means may perform data compression based on the compression method designation value included in the data request in response to the data request received from the remote monitoring information collection device. Thereby, the compression method according to the tendency of collected data can be specified.

  In addition, the remote monitoring information collection system described above further includes compression method determination means for determining an optimal compression method designation value based on the collected data stored in the collected data storage unit in the remote monitoring information collection device, The data request transmission unit may transmit a data request including the compression method designation value determined by the compression method determination unit to the monitoring terminal. Thereby, it is possible to designate an optimal compression method according to the tendency of the collected data.

  According to the present invention, it is possible to provide a remote monitoring information collection system capable of collecting remote monitoring information while suppressing an increase in the amount of communication data.

  Hereinafter, specific embodiments to which the present invention is applied will be described in detail with reference to the drawings. In the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted as necessary for the sake of clarity.

Embodiment 1 of the Invention
FIG. 1 is a block diagram showing an example of the configuration of a remote monitoring information collection system 100 according to this embodiment. The remote monitoring information collection system 100 includes a remote monitoring information collection device 1, a plurality of monitoring terminals 2, a plurality of equipment devices 3, and a network N. The plurality of monitoring terminals 2 are connected to the remote monitoring information collecting apparatus 1 via the network N. For example, there are about 100 monitoring terminals 2. Each of the plurality of equipment devices 3 is connected to a plurality of monitoring terminals 2. The equipment device 3 is a device that controls power generation, air conditioning, gas, and the like. The monitoring terminal 2 periodically collects data measured by the connected equipment device 3 and stores it as collected data in the monitoring terminal 2 for a certain period. The data sampling period, which is the period in which the monitoring terminal 2 collects data, is, for example, 1 minute. The remote monitoring information collection device 1 causes the collected data stored in the plurality of monitoring terminals 2 to be transferred from each, and stored in the remote monitoring information collection device 1. A data collection cycle, which is a cycle in which the remote monitoring information collection device 1 collects data, is, for example, 15 minutes.

  FIG. 2 is a block diagram showing a configuration of the remote monitoring information collecting apparatus 1 according to the present embodiment. The remote monitoring information collection device 1 includes a control unit 110, a communication unit 111, a data decompression unit 112, a data storage processing unit 113, a data acquisition last date update unit 114, a collected data storage unit 121, and a data acquisition final. A date / time storage unit 122 and an expansion algorithm storage unit 123 are provided.

  The collected data storage unit 121 stores the collected data transferred from the monitoring terminal 2. The collected data includes a collection date and time that is information on the date and time collected by the monitoring terminal 2 corresponding to each collected data. A plurality of collected data may exist for each data type per collection date and time. The data type is information that identifies, for example, temperature, humidity, power, and the like. The data acquisition final date and time storage unit 122 stores the data acquisition final date and time that is the collection date and time included in the latest data collected from the monitoring terminal 2 by the remote monitoring information collection device 1. The data acquisition final date and time exists for each monitoring terminal 2, and the monitoring terminal 2 and the data acquisition final date and time are stored in association with each other. The decompression algorithm storage unit 123 stores execution format program data that realizes an decompression algorithm used when the remote monitoring information collection device 1 decompresses data acquired from the monitoring terminal 2. The decompression algorithm can restore the data compressed by the compression algorithm stored in the compression algorithm storage unit 223, which will be described later, to the original state. The collected data storage unit 121, the data acquisition last date storage unit 122, and the decompression algorithm storage unit 123 may be a non-volatile storage device such as a hard disk drive or flash memory, or a volatile memory such as a DRAM (Dynamic Random Access Memory). May be a storage device.

  The control unit 110 controls each process in the remote monitoring information collecting apparatus 1, that is, data request, data reception, data expansion, data storage, data acquisition last date and time update, and the like. The communication unit 111 is connected to the network N and performs communication such as data transmission / reception with the monitoring terminal 2. The data decompression unit 112 decompresses data acquired from the monitoring terminal 2. At that time, the data decompression unit 112 refers to the decompression algorithm storage unit 123 and executes the decompression algorithm. The data storage processing unit 113 stores the data expanded by the data expansion unit 112 in the collected data storage unit 121. The data acquisition final date and time update unit 114 acquires the collection date and time corresponding to the latest data stored in the data storage processing unit 113 and stores the collection date and time in the data acquisition final date and time storage unit 122.

  FIG. 3 is a block diagram showing a configuration of the monitoring terminal 2 according to the present embodiment. The monitoring terminal 2 includes a control unit 210, a communication unit 211, a data acquisition unit 212, a data compression unit 213, a collected data storage unit 221, an estimation algorithm storage unit 222, and a compression algorithm storage unit 223.

  The collected data storage unit 221 stores the collected data transferred from the connected equipment device 3. The collected data is the same as that existing for each monitoring terminal 2 stored in the collected data storage unit 121. The estimation algorithm storage unit 222 stores execution format program data that realizes an estimation algorithm used in an estimated value calculation process performed by the monitoring terminal 2 when data is compressed. The compression algorithm storage unit 223 stores execution format program data that realizes a compression algorithm used when the monitoring terminal 2 performs data compression. The collected data storage unit 221, the estimation algorithm storage unit 222, and the compression algorithm storage unit 223 may be a non-volatile storage device such as a hard disk drive or flash memory, or a volatile memory such as a DRAM (Dynamic Random Access Memory). It may be a storage device.

  The control unit 210 controls each process in the monitoring terminal 2, that is, data request reception, data transmission, data acquisition, data compression, and the like. The communication unit 211 is connected to the network N and performs communication such as data transmission / reception with the remote monitoring information collection device 1 and with the facility device 3. The data acquisition unit 212 refers to the collected data storage unit 221 and acquires the unit data amount from the most recent collected data after the data acquisition last date and time added to the data request. The unit data amount is a predetermined value. The data compression unit 213 performs compression processing on the collected data acquired by the data acquisition unit 212. At that time, the data compression unit 213 refers to the estimation algorithm storage unit 222 and the compression algorithm storage unit 223 and executes the estimation algorithm and the compression algorithm.

  FIG. 4 is a flowchart showing the remote monitoring information collecting method according to this embodiment. Here, a flow in which the remote monitoring information collecting apparatus 1 acquires collected data from one monitoring terminal 2 will be described.

  First, the control unit 110 of the remote monitoring information collection device 1 refers to the data acquisition last date storage unit 122, acquires the data acquisition last date corresponding to the monitoring terminal 2, and adds it to the data request command (S101). Next, the control unit 110 transmits a data request command to the monitoring terminal 2 through the communication unit 111 (S102).

  Subsequently, the control unit 210 of the monitoring terminal 2 receives the data request command at the communication unit 211 (S103). The control unit 210 extracts the data acquisition last date and time from the data request command received by the data acquisition unit 212, refers to the collected data storage unit 221 and acquires collected data after the data acquisition last date and time (S104). The control unit 210 compresses the collected data acquired by the data compression unit 213 (S105). Thereafter, the control unit 210 transmits the compressed collection data to the remote monitoring information collection device 1 through the communication unit 211 (S106).

  The control unit 110 of the remote monitoring information collection device 1 receives the collected data compressed by the communication unit 111 (S107). Subsequently, the control unit 110 decompresses the collected data received by the data decompression unit 112 (S108). In the data storage processing unit 113, the control unit 110 stores the decompressed data in the collected data storage unit 121 (S109). Further, the control unit 110 acquires the latest collection date and time among the collected data stored in the collected data storage unit 121 and stores it in the data acquisition last date and time storage unit 122 (S110).

  FIG. 5 is a conceptual diagram of a data flow in the remote monitoring information collecting method according to the present embodiment. First, the data request 40 transmitted from the remote monitoring information collection device 1 includes a data request command 41 and an LTS (data acquisition last date and time) 42. The collected data 50 is stored in the collected data storage unit 221 of the monitoring terminal 2. The collected data 50 includes a collection date 51 and a collected data string 52. The collection date 51 includes time stamps TS1, TS2,..., TSk,. The collection data string 52 includes a collection data string corresponding to each time stamp of the collection date 51. For example, the time stamp TS1 corresponds to the collected data string D1 (Da1, Db1,..., Dx1). Here, it is assumed that the time stamp TS1 is the newest and the time stamp TSn is the oldest time, and is stored in the order of time.

  Next, a data flow in the remote monitoring information collecting method according to the present embodiment will be described with reference to FIG. In the following, the processing flow described with reference to FIG. 4 will be described with a focus on data, and the other processing is the same, and the description thereof will be omitted. First, the LTS 42 is acquired from the data acquisition last date storage unit 122, added to the data request command 41, and a data request 40 is generated (S101). The data request 40 is transmitted to the monitoring terminal 2 (S102). The data request 40 is received by the monitoring terminal 2 (S103), and the LTS 42 is extracted. Thereafter, the collected data associated with the time stamp after the LTS 42 is acquired from the collected data 50 (S104). Here, TSk to TS1 are applicable, and corresponding collection data strings D1, D2 (Da2, Db2,..., Dx2),..., Dk (Dak, Dbk,..., Dxk) are acquired. Further, the acquired collection data strings D1, D2,..., Dk and the corresponding time stamps TS1, TS2,..., TSk are compressed as compressed collection data 53 that is transmission data (S105), and remote monitoring is performed. It is transmitted to the information collecting apparatus 1 (S106). The compressed collected data 53 is received by the remote monitoring information collecting apparatus 1 (S107), decompressed (S108), and stored as collected data 54 in the collected data storage unit 121 (S109). Finally, TS1, which is the latest time stamp included in the collected data 54, is stored in the data acquisition last date storage unit 122 as the LTS 43 added to the next data request (S110).

  As described above, the remote monitoring information collecting apparatus 1 specifies the collection date and time of the collected data acquired last time as the data acquisition last date and time from the monitoring terminal 2 at an arbitrary data sampling period when requesting data. It is possible to acquire collected data, and even if a data loss occurs due to a communication error, etc., by specifying a date and time after the data acquisition last date and time, there is no need to perform complicated retry processing and a monitoring terminal without data loss Two collected data can be acquired.

  Thereby, the data collection cycle of the remote monitoring information collection device 1 and the data sampling cycle of the monitoring terminal 2 can be made independent. For example, even when the monitoring terminal 2 performs the data sampling cycle at a 1 minute cycle, The data collection period from the remote monitoring information collecting apparatus 1 can be set to a 15 minute period.

  Further, when the remote monitoring information collection device 1 has not acquired the collected data for a long time, the amount of collected data may be enormous as compared to the normal amount. However, even in such a case, it is possible to reduce the amount of communication and the communication time by compressing the collected data and transmitting it, so that communication efficiency can be improved.

  It should be noted that the remote monitoring information collecting apparatus 1 according to the present embodiment similarly applies the processing of FIG. 4 to a plurality of monitoring terminals 2 to collect collected data from each monitoring terminal 2. Can be acquired.

  As described above, it is desirable that the data acquisition unit 212 acquires a predetermined unit data amount as the upper limit value instead of all the collected data corresponding to the data acquisition last date and time. In this case, for example, after step S110, the control unit 110 of the remote monitoring information collection device 1 determines whether the received data amount is the same amount as the upper limit value, and is determined to be the same amount as the upper limit value. When this happens, it is preferable to return to step S101 and make a data request again. Thereby, the amount of communication data can be suppressed in one transfer of collected data, and a stable amount of communication data can be secured. Moreover, the latest data can be acquired by repeating until the received data amount becomes smaller than the upper limit.

  In the present embodiment, the data acquisition unit 212 determines the unit data amount, so that the collected data is acquired from the single monitoring terminal 2 to the remote monitoring information collecting device 1 by performing the processing of FIG. 4 only once. It may not be possible. However, the remote monitoring information collection device 1 repeatedly executes the data collection process based on the data collection cycle, and adds the data acquisition final date and time to transmit the data request each time, thereby collecting the collected data acquired up to the previous time. Except for, it is possible to request the most collected data. Therefore, the remote monitoring information collection device 1 does not need to change the processing after detecting a communication abnormality or recovering from the communication abnormality, and can always request the collected data after acquisition when communication is possible. Further, the remote monitoring information collecting apparatus 1 automatically performs the maintenance work after completion of the maintenance work and the like, even if the collected data cannot be acquired for reasons other than communication abnormality such as maintenance work. It is possible to request collected data after acquisition.

  Here, a data compression method used in the present embodiment will be described. As a general data compression method, audio data compression by ADPCM (Adaptive Differential Pulse Code Modulation), image data compression by JPEG (Joint Photographic Experts Group), and file compression method by ZIP file format are widely used. It has been.

When the monitoring terminal 2 compresses and transmits collected data, a compression method that satisfies the following conditions is desirable.
(1) The algorithm execution time is short and the storage area required for execution is small.
(2) The compression rate of collected data is high.
However, it is difficult to achieve both (1) and (2) at the same time, and compression by JPEG or ZIP takes a relatively long execution time and requires a large amount of work storage area.

  The data compression described here solves the problem of the compression rate and the time / storage area required for compression by the following method. The basic configuration is to compress the encoded bit length as a variable value that is adaptive to the run length method.

  First, each variable, function, etc. used in the data compression method used in this embodiment will be described. The time series data series that is the collected data before compression is assumed to be X0, X1, X2, X3,. The data Xn is fixed length data. The estimated value Yn + 1 of the data Xn + 1 is obtained by using the estimation algorithm Fk from k data (Xn−k + 1, Xn−k + 2,..., Xn) before Xn, where k is a natural number of 1 or more. And

  Also, a run length counter RL (initial value 0) that is the number of consecutive identical data, an error En between the estimated value Yn and the actual value data Xn, and a bit length Ln and a bit length necessary to display the error En. The increment Zn from Ln to bit length Ln + 1 is assumed.

  Next, an outline of the data compression method used in this embodiment will be described. Here, when the data up to Xn is already compressed, the data of Xn + 1 is coded by the following method.

(1) Calculation of estimated value From k pieces of data (Xn−k + 1, Xn−k + 2,..., Xn) before Xn, an estimated value Yn + 1 of data Xn + 1 is obtained by equation (A) using the estimation algorithm Fk.
Yn + 1 = Fk (Xn−k + 1, Xn−k + 2,..., Xn) (A)

(2) Calculation of an error from the estimated value An error En + 1 between the obtained estimated value Yn + 1 and the actual value data Xn + 1 is obtained by the equation (B).
En + 1 = Yn + 1−Xn + 1 (B)

(3) Compare whether the error En + 1 is equal to 0 or not (3-a) If the error En + 1 is equal, add 1 to the run length counter RL (expression (C)).
RL = RL + 1 (C)

(3-b) If not equal First, the run length counter RL is output to the compressed collection data 53. Next, the run length counter RL is cleared to zero. Thereafter, a bit length Ln + 1 necessary for displaying the error En + 1 is obtained.

(3-b-1) When Ln ≧ Ln + 1, the error En + 1 is output to the compressed collection data 53 as binary data having the bit length Ln.

(3-b-2) When Ln <Ln + 1 First, an increment Zn from the bit length Ln to the bit length Ln + 1 is calculated (formula (D)).
Zn = Ln + 1−Ln (D)
Next, the increment Zn is output to the compressed collection data 53.
Thereafter, the error En + 1 is output to the compressed collected data 53 as binary data having a bit length Ln + 1.

  By repeating the above processes (1), (2), and (3) as many times as the number of necessary data, the necessary data can be compressed.

  On the remote monitoring information collection device 1 side, the run length counter RL, the increment Zn, and the error En + 1 are analyzed from the received compressed collection data 53 and are expanded to the original collection data. A specific decompression algorithm is a run-length decoding method, which is well known as a known technique, and thus detailed description thereof is omitted here.

In the data compression method used in the present embodiment, k = 1 is assumed, and the estimation algorithm F1 can be expressed by equation (E).
Yn + 1 = F1 (Xn) = Xn (E)
And However, it may be replaced with a highly accurate estimation function depending on the nature of the original data.

  Note that the data compression method used in the present embodiment may be replaced with one having higher compression efficiency.

Embodiment 2 of the Invention
In the remote monitoring information collection system 100 according to the first embodiment of the present invention described above, there is a possibility that the collected data stored in the monitoring terminal 2 will be deleted after a certain period if data collection is not performed for a long time. There is. Therefore, in the remote monitoring information collection system according to the present embodiment, when the data collected from the monitoring terminal 2 is not the latest, the collected data is stored in the monitoring terminal 2 by temporarily shortening the data collection cycle. In the meantime, get the latest collected data. The configuration of the remote monitoring information collection system according to the present embodiment is the same as that shown in FIG. However, the remote monitoring information collection device 1 in FIG. 1 is replaced with a remote monitoring information collection device 1a.

  FIG. 6 is a block diagram showing a configuration of the remote monitoring information collecting apparatus 1a according to the present embodiment. In the remote monitoring information collection device 1a, the control unit 110 is replaced with the control unit 110a, and a periodic information update unit 115 and a periodic information storage unit 124 are added, compared to the remote monitoring information collection device 1. Other configurations are the same as those in FIG.

  The cycle information storage unit 124 stores data collection cycle information, standard cycle information, and special cycle information. The data collection cycle information is time information of intervals at which the remote monitoring information collection device 1a makes a data request to the monitoring terminal 2. The standard cycle information is time information of a normal data collection cycle in the remote monitoring information collection device 1a. The special cycle information is time information of a data collection cycle when the collected data is not the latest, for example, in a special situation in the remote monitoring information collection device 1a. The standard cycle information is, for example, 15 minutes. The special period information is, for example, 5 minutes. The periodic information storage unit 124 may be a nonvolatile storage device such as a hard disk drive or a flash memory, or may be a volatile storage device such as a DRAM (Dynamic Random Access Memory).

  The control unit 110a controls processing such as error confirmation in response to a data request. Since other processes of the control unit 110a are the same as those of the control unit 110, description thereof is omitted.

  The cycle information update unit 115 refers to the cycle information storage unit 124 and updates the data collection cycle information to standard cycle information or special cycle information according to a predetermined condition. Although the details of the predetermined condition will be described later with reference to FIG. 7, the periodic information update unit 115 received an error in the received response when the remote monitoring information collection device 1 a transmitted a data request to the monitoring terminal 2. Sometimes, the data collection cycle information is updated to the special cycle information, and when the response is normal and the collected data is the latest, the data collection cycle information is updated to the standard cycle information.

  FIG. 7 is a flowchart showing a remote monitoring information collecting method according to the present embodiment. FIG. 7 is a modification of the processing of the remote monitoring information collecting apparatus 1 in FIG. Here, only processing in the remote monitoring information collecting apparatus 1a will be described.

  First, the control unit 110a in the remote monitoring information collection device 1a refers to the cycle information storage unit 124, and after the interval of the data collection cycle information has passed since the transmission of the previous data request, sends a data request to the monitoring terminal 2. Processing to be performed is started (S201). Next, steps S202 and S203 are the same as steps S101 and S102 in FIG. Thereafter, the control unit 110a receives a response from the monitoring terminal 2 at the communication unit 111 (S204). At that time, the control unit 110a checks whether or not the received response is an error (S205). When the received response is an error, the cycle information update unit 115 refers to the cycle information storage unit 124, updates the data collection cycle information to the special cycle information (S206), and ends the process. Here, since the special cycle information is shorter than the standard cycle information, the data collection cycle is shortened. The case where the response is an error includes, for example, a case where a communication abnormality occurs, a case where the monitoring terminal 2 or the network N cannot communicate due to maintenance work, or the like. At this time, since the response was an error last time for some reason, the collected data has been lost.

  Thereafter, the control unit 110a starts processing in step S201, but when the data collection cycle information has been updated to special cycle information last time, the control unit 110a starts processing based on the special cycle information. Since there was a loss in the collected data last time, the processing is started earlier than usual. If the received response is not an error after the processing of steps S202 to S205, the process proceeds to step S207. Steps S207 to S209 are the same as steps S108 to S110 in FIG. Thereafter, it is confirmed whether or not the collected data is the latest (S210). For example, the determination can be made based on whether or not the data acquisition last date is within the time corresponding to the special period information from the current time. If the collected data is the latest, the cycle information update unit 115 refers to the cycle information storage unit 124, updates the data collection cycle information to the standard cycle information (S211), and ends the process. If the collected data is not the latest, the process returns to step S202, and a data transmission request is made again. The case where the response is not an error indicates that the communication is normally performed between the remote monitoring information collecting apparatus 1a and the monitoring terminal 2, and particularly includes a case immediately after recovery from a communication abnormality. Immediately after recovery from a communication error, the data collection cycle information is special cycle information, and data collection is performed at intervals of the special cycle information until the collected data becomes the latest. If the response is not an error and the collected data is the latest, it is not necessary to continue collecting data at an interval shorter than usual, so that the standard cycle information that is the original data collection cycle is updated.

  Thereby, after the communication abnormality is confirmed, the data request is continued at a shorter interval than usual, and the collected data that has been lost can be acquired immediately as soon as the communication becomes normal. In addition, since the latest collected data cannot always be acquired once, until the collected data is confirmed to be the latest, the collected data can be quickly acquired by repeating the data request. be able to. Further, as soon as the collected data is confirmed to be the latest, returning to the standard cycle information eliminates the need for normally unnecessary communication.

  For example, when the data sampling cycle of the monitoring terminal 2 is 1 hour and the data collection cycle of the remote monitoring information collection device 1a is 1 week, if a communication error occurs, the transmission of the next data request is 1 week later. As a result, the collection interval is too empty. Then, the capacity of the collected data storage unit 221 prepared in advance on the monitoring terminal 2 side is required. Therefore, when a communication error occurs, the data collection cycle is changed to one day, and when the collected data becomes the latest, it is returned to the normal data collection cycle (one week) to solve this problem. can do.

Embodiment 3 of the Invention
In the remote monitoring information collection system 100 according to the first embodiment of the invention described above, the estimation algorithm is the same regardless of the data type. However, the data measured by the plurality of equipment devices 3 is data of a plurality of data types for each equipment device 3 and in the same equipment device 3. Since these data differ in the tendency that the data in time series fluctuate, the estimation algorithm according to the first embodiment of the invention may have poor estimation accuracy depending on the data type. That is, the optimal estimation algorithm differs depending on the nature of the original data. When the estimation algorithm is fixed regardless of the data type, if compression is performed by the compression algorithm according to the first embodiment of the invention, the compression efficiency may deteriorate, and the data size may increase.

  Therefore, in the remote monitoring information collection system according to the embodiment of the present invention, a plurality of estimation algorithms are stored in the monitoring terminal 2, and the estimation algorithms are switched according to the estimation parameters transmitted from the remote monitoring information collection device 1b. It is what. The estimation parameter is determined after the remote monitoring information collection device 1b determines the optimum estimation algorithm by analyzing the collected data. The configuration of the remote monitoring information collection system according to the present embodiment is the same as that shown in FIG. However, the remote monitoring information collection device 1 in FIG. 1 is replaced with a remote monitoring information collection device 1b, and the monitoring terminal 2 in FIG. 1 is replaced with a monitoring terminal 2a.

  FIG. 8 is a block diagram showing a configuration of the remote monitoring information collecting apparatus 1b according to the present embodiment. In the remote monitoring information collecting apparatus 1b, as compared with the remote monitoring information collecting apparatus 1, the control unit 110 is replaced with the control unit 110b, and an estimated parameter update unit 116 and an estimated parameter storage unit 125 are added. Other configurations are the same as those in FIG.

  The estimated parameter storage unit 125 stores estimated parameters associated with each monitoring terminal 2a and each data type. The estimation parameter is a parameter for selecting and executing an estimation algorithm stored in the monitoring terminal 2a described later, and is a numerical value. The estimated parameter storage unit 125 may be a nonvolatile storage device such as a hard disk drive or a flash memory, or may be a volatile storage device such as a DRAM (Dynamic Random Access Memory).

  The control unit 110b controls processing such as analysis of collected data and addition of an estimation parameter to a data request. Since other processes of the control unit 110b are the same as those of the control unit 110, the description thereof is omitted.

  The estimated parameter update unit 116 analyzes the collected data, refers to the estimated parameter storage unit 125, and updates it to the optimal estimated parameter. The collected data analysis process and selection of the optimum estimation parameter will be described later with reference to FIG.

  FIG. 9 is a block diagram showing a configuration of the monitoring terminal 2a according to the present embodiment. Compared to the monitoring terminal 2, the monitoring terminal 2a is obtained by replacing the control unit 210 with the control unit 210a, the data compression unit 213 with the data compression unit 213a, and the estimation algorithm storage unit 222 with the estimation algorithm storage unit 222a. . Other configurations are the same as those in FIG.

  The estimation algorithm storage unit 222a stores a plurality of estimation algorithms. The plurality of estimation algorithms can be selected by estimation parameter values received from the remote monitoring information collecting apparatus 1b. The rest of the configuration of the estimation algorithm storage unit 222a is the same as that of the estimation algorithm storage unit 222, and a description thereof will be omitted.

  The control unit 210a controls processing such as extraction of estimation parameters from the received data request and selection of an estimation algorithm. Since the other processes of the control unit 210a are the same as those of the control unit 210, description thereof is omitted.

  The data compression unit 213a selects an estimation algorithm based on the estimation parameter and compresses the data. Since the other processes of the data compression unit 213a are the same as those of the data compression unit 213, description thereof is omitted.

  Here, a plurality of estimation algorithms will be described with examples. When the estimation parameter k is 1 and 2, the estimation algorithm Fk can be determined as follows. In the following description, the time series data series that is the collected data before compression is X0, X1, X2, X3,..., Xn. The data Xn is fixed length data.

(1) When k = 1 F1 (Xn), which is an estimated value of the data Xn + 1, is data Xn as shown in the equation (F).
F1 (Xn) = Xn (F)

(2) When k = 2 F2 (Xn, Xn-1), which is an estimated value of the data Xn + 1, is assumed to be expressed by the equation (G).
F2 (Xn, Xn-1) = Xn + (Xn-Xn-1) (G)

  The monitoring terminal 2a performs data compression with the estimated parameter k having a default value of 1. Data compression when the estimation parameter k is 1 is simple and requires little working storage capacity. However, if the collected data has specific statistical properties, there is a possibility that further compression can be performed based on the statistical information. It is usually difficult to analyze the statistical properties of these collected data at each device terminal because the amount of data increases. Therefore, a method of analyzing the statistical properties of collected data on the remote monitoring information collecting apparatus 1b side can be considered.

(3) When k> 2 It is assumed that Fk (Xn−k + 1, Xn−k + 2,..., Xn), which is an estimated value of the data Xn + 1, is a linear regression model represented by equation (H).
Yn + 1 = Fpre (Xn−k + 1, Xn−k + 2,..., Xn)
= An * Xn + An-1 * Xn-1 + ... + An−k + 1 * Xn−k + 1 (H)
Here, An,..., An−k + 1 are coefficient value sequences.

  FIG. 10 is a flowchart showing an estimation parameter update process. First, the control unit 110b in the remote monitoring information collecting apparatus 1 causes the estimated parameter update unit 116 to start an estimated parameter update process. The estimated parameter updating unit 116 reads the collected data with reference to the collected data storage unit 121 (S301). Next, the estimated parameter update unit 116 calculates an estimated parameter for the collected data that has been read (S302). At this time, the value of the estimation parameter k and the coefficient value sequence An,..., An−k + 1 that gives the best estimation is obtained from the above-described equation (H). Thereafter, the estimated parameter update unit 116 determines whether or not the estimation accuracy is higher than the previous estimated parameter (S303). The estimation accuracy is determined by, for example, applying the previous estimation parameter and coefficient value sequence and the currently calculated estimation parameter and coefficient value sequence to the collected data at the current time, and calculating the error between the estimated value and the actual data. Can be calculated by comparing the errors. When it is determined that the estimation accuracy is high, the estimation parameter update unit 116 refers to the estimation parameter storage unit 125 and updates the estimation parameter. If it is determined that the estimation accuracy is low, the process ends.

  Note that the update process of the estimation parameter in FIG. 10 may be performed for each monitoring terminal 2a and for each data type. The estimation parameter update process may be executed periodically or arbitrarily. For example, “regular” may be every month. If it is less than one month, there is a high possibility that the trend of the collected data will not change. Conversely, if it is every one or two years, it will not be possible to cope with the change in the trend of the collected data, and the estimation accuracy will be low for a long period of time. This is because there is a risk of being used.

  FIG. 12 is a diagram showing a breakdown of data requests according to the present embodiment. The data request 40a includes a data request command 41, an LTS 42, and an estimated parameter string 44 (Ca, Cb,..., Cx).

  FIG. 11 is a flowchart showing the remote monitoring information collecting method according to the present embodiment. The difference from FIG. 4 is that steps S101 and S105 are replaced with steps S101a and S105a. In addition, the same processes as those in FIG.

  First, the control unit 110b of the remote monitoring information collection device 1b refers to the data acquisition last date and time storage unit 122, acquires the LTS 42 that is the data acquisition last date and time corresponding to the monitoring terminal 2a, and sets the estimated parameter storage unit 125. With reference to, an estimated parameter string 44 corresponding to the monitoring terminal 2a is acquired. The control unit 110b adds the LTS 42 and the estimated parameter string 44 to the data request command 41 to obtain a data request 40a (S101a). Thereafter, the processes of steps S102 to S104 are performed.

  Thereafter, the control unit 210a of the monitoring terminal 2a extracts the estimated parameter sequence 44 from the received data request 40a. The data compression unit 213a refers to the estimation algorithm storage unit 222a, selects one of the above-described estimation algorithms (F), (G), or (H) based on the estimation parameter string 44, Execute. Further, the acquired collected data is compressed (S105a). Thereafter, the processing from S106 to S110 is performed.

  In this way, the remote monitoring information collecting apparatus 1b side obtains the optimum estimation parameter k and the value of the coefficient value sequence An,..., An−k + 1 in a timely manner and those already used in the monitoring terminal 2a. If a good estimation and compression result is given, the monitoring parameter 2 and the value of the coefficient value sequence An,..., An−k + 1 are notified as the estimation parameter sequence for each monitoring terminal 2a, and the estimation is performed based on the estimation parameter sequence And compression can be performed. Thereby, the monitoring terminal 2a can transmit compressed collection data with better compression efficiency to the remote monitoring information collection apparatus 1b, and can improve communication efficiency.

From the above, in the present embodiment, since the statistical property analysis of the collected data is performed on the remote monitoring information collecting apparatus 1b side, efficient data compression can be executed even by the monitoring terminal 2a having a low capability. . Furthermore, in this embodiment, since the estimated value is calculated by the estimation algorithm selected based on the statistical property of the collected data and the data compression is performed, more efficient compression can be performed.

  In addition to the linear regression model described above, a nonlinear model using a neural network, a Bayes model, or the like can be used as the estimation parameter calculation algorithm on the remote monitoring information collection apparatus 1b side. If the estimation algorithm itself is other than the assumed algorithm and gives a good result, the execution format program data of the estimation algorithm is sent to the monitoring terminal 2a from the remote monitoring information collecting device 1b to the monitoring terminal 2a via the network N. What is necessary is just to update by transmitting.

  Note that the estimated parameter string need not be transmitted every time.

Other Embodiments of the Invention
Note that the above-described remote monitoring information collection devices 1, 1a, 1b, and the monitoring terminal 2, and 2a may be realized by a typical computer system.

  In the first embodiment of the present invention, the unit data amount may be appropriately changed by setting the monitoring terminal 2. The monitoring terminal 2 connected to the remote monitoring information collecting apparatus 1 may be additionally connected, and the amount of data to be collected increases at that time. Therefore, it is desirable to change the unit data amount according to the situation each time.

  Furthermore, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present invention described above.

It is a block diagram which shows an example of a structure of the remote monitoring information collection system 100 concerning Embodiment 1 of this invention. It is a block diagram which shows the structure of the remote monitoring information collection apparatus 1 concerning Embodiment 1 of this invention. It is a block diagram which shows the structure of the monitoring terminal 2 concerning Embodiment 1 of this invention. It is a flowchart figure which shows the remote monitoring information collection method concerning Embodiment 1 of this invention. It is a conceptual diagram of the data flow in the remote monitoring information collection method concerning Embodiment 1 of this invention. It is a block diagram which shows the structure of the remote monitoring information collection apparatus 1a concerning Embodiment 2 of this invention. It is a flowchart figure which shows the remote monitoring information collection method concerning Embodiment 2 of this invention. It is a block diagram which shows the structure of the remote monitoring information collection apparatus 1b concerning Embodiment 3 of this invention. It is a block diagram which shows the structure of the monitoring terminal 2a concerning Embodiment 3 of this invention. It is a flowchart figure which shows the update process of an estimation parameter. It is a flowchart figure which shows the remote monitoring information collection method concerning Embodiment 3 of this invention. It is a figure which shows the breakdown of the data request | requirement concerning Embodiment 3 of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1, 1a, 1b Remote monitoring information collection device 2, Monitoring terminal 2a Monitoring terminal 3 Equipment device 40, 40a Data request 41 Data request command 42, 43 LTS (data acquisition last date and time) 44 Estimated parameter string 50 Collected data 51 Collection date 52 Collected data string 53 Compressed collected data 54 Collected data
DESCRIPTION OF SYMBOLS 100 Remote monitoring information collection system 110, 110a, 110b Control part 111 Communication part 112 Data expansion part 113 Data storage process part 114 Data acquisition last date update part 115 Period information update part 116 Estimated parameter update part 121 Collected data storage part 122 Data acquisition Last date and time storage unit 123 Decompression algorithm storage unit 124 Period information storage unit 125 Estimated parameter storage unit 210, 210a Control unit 211 Communication unit 212 Data acquisition unit 213, 213a Data compression unit 221 Collected data storage unit 222, 222a Estimation algorithm storage unit 223 Compression algorithm storage unit An coefficient value sequence Dn collected data sequence En error Fk estimation algorithm k estimation parameter Ln bit length N network RL run length counter TSn time stamp Xn data Yn estimate Zn incremental

Claims (15)

A remote monitoring information collection system comprising a plurality of monitoring terminals, and a remote monitoring information collection device connected to the plurality of monitoring terminals via a network,
The monitoring terminal is
Acquisition data processing means for associating the remote monitoring information with the time information for acquiring the remote monitoring information and storing it in the acquisition data storage unit;
In response to a data request received from the remote monitoring information collection device, remote monitoring information specified based on time information included in the data request is sent from the acquired data storage unit together with time information associated with the remote monitoring information. Data transmission means for reading and transmitting to the remote monitoring information collection device,
The remote monitoring information collection device includes:
Data receiving means for receiving remote monitoring information and time information transmitted from the monitoring terminal and storing them in a collected data storage unit;
Remote monitoring information comprising data request transmitting means for transmitting to the monitoring terminal a data request including time information associated with the latest remote monitoring information among the collected data stored in the collected data storage unit Collection system. The data transmission means of the monitoring terminal transmits the remote monitoring information and time information after data compression to the remote monitoring information collection device,
2. The remote monitoring information according to claim 1, wherein the data receiving unit of the remote monitoring information collecting apparatus stores the data-compressed remote monitoring information and time information in the collected data storage unit after decompressing the data. Collection system.   3. The remote monitoring according to claim 1, wherein the data transmitting unit reads remote monitoring information associated with time information after time information included in the data request from the acquired data storage unit. Information collection system. The data request transmitting means of the remote monitoring information collecting device is:
The remote monitoring information collection system according to any one of claims 1 to 3, wherein the data request is transmitted based on periodic information that defines an interval for transmitting the data request. The remote monitoring information collection device includes:
If the response to the data request is an error, change the period information,
5. The remote monitoring information according to claim 4, further comprising period information update means for restoring the period information when the response to the data request is normal and the time information received from the monitoring terminal is the latest. Collection system. The data request transmitting means of the remote monitoring information collecting device is:
Send a data request including a compression method designation value that designates a data compression method in the monitoring terminal,
The data transmission means of the monitoring terminal is
6. The remote monitoring information according to claim 2, wherein data compression is performed in accordance with a data request received from the remote monitoring information collection device based on the compression method designation value included in the data request. Collection system. The remote monitoring information collection device includes:
A compression method determination means for determining an optimum compression method designation value based on the collected data stored in the collected data storage unit;
The remote monitoring information collection system according to claim 6, wherein the data request transmission unit transmits a data request including the compression method designation value determined by the compression method determination unit to the monitoring terminal. A remote monitoring information collection device connected to a plurality of monitoring terminals via a network,
Data receiving means for receiving remote monitoring information and time information associated with the remote monitoring information from the monitoring terminal, and storing it in a collected data storage unit;
Remote monitoring information comprising data request transmitting means for transmitting to the monitoring terminal a data request including time information associated with the latest remote monitoring information among the collected data stored in the collected data storage unit Collection device.   9. The remote monitoring information collecting apparatus according to claim 8, wherein the data receiving unit stores the compressed remote monitoring information and time information in the collected data storage unit after decompressing the data. A monitoring terminal connected to a remote monitoring information collecting device via a network,
Acquisition data processing means for associating the remote monitoring information with the time information for acquiring the remote monitoring information and storing it in the acquisition data storage unit;
Data request receiving means for receiving a data request including time information associated with the latest remote monitoring information in the remote monitoring information collecting device from the remote monitoring information collecting device;
The remote monitoring information specified based on the time information included in the data request received by the data request receiving means is read from the acquired data storage unit together with the time information associated with the remote monitoring information, and the remote monitoring information collection A remote monitoring information collection system comprising data transmission means for transmitting to an apparatus.   11. The remote monitoring information collection system according to claim 10, wherein the data transmission means of the monitoring terminal transmits the remote monitoring information and time information to the remote monitoring information collection device after compressing the data. . A remote monitoring information collection method for collecting remote monitoring information from a plurality of monitoring terminals connected via a network by a remote monitoring information collection device,
Transmitting from the remote monitoring information collection device a data request including time information associated with the latest remote monitoring information to the monitoring terminal;
From the monitoring terminal, in response to the data request, remote monitoring information specified based on the time information included in the data request is transmitted to the remote monitoring information collection device together with the time information associated with the remote monitoring information. Remote monitoring information collecting method comprising the steps of:   13. The remote monitoring information collection method according to claim 12, wherein the monitoring terminal transmits data to the remote monitoring information collection device after compressing the remote monitoring information and time information. A remote monitoring information collection system comprising a plurality of monitoring terminals, and a remote monitoring information collection device connected to the plurality of monitoring terminals via a network,
The monitoring terminal is
Acquisition data processing means for storing remote monitoring information in the acquisition data storage unit;
In response to a data request received from the remote monitoring information collection device, the remote monitoring information is read from the acquired data storage unit, data is compressed with respect to the remote monitoring information, and is transmitted to the remote monitoring information collection device. Data transmission means,
The remote monitoring information collection device includes:
A remote monitoring information collecting system comprising: data receiving means for receiving the remote monitoring information transmitted from the monitoring terminal and storing the data-compressed remote monitoring information in a collected data storage unit after decompressing the data. The acquisition data processing means of the monitoring terminal includes:
The remote monitoring information is stored in the acquired data storage unit in association with the time information acquired the remote monitoring information,
The data transmission means of the monitoring terminal is
The remote monitoring information specified based on the time information included in the data request received from the remote monitoring information collection device is read from the acquired data storage unit together with the time information associated with the remote monitoring information, and the remote monitoring information collection Send to the device,
The data receiving means of the remote monitoring information collecting device is:
Further receiving time information transmitted from the monitoring terminal and storing it in the collected data storage unit,
Among the collected data stored in the collected data storage unit, a data request transmitting means for transmitting a data request including time information associated with the latest remote monitoring information to the monitoring terminal is provided in the remote monitoring information collecting apparatus. The remote monitoring information collection system according to claim 14, further comprising:

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