JP5659313B1 - Data transmission device and remote monitoring system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data transmission device capable of suppressing data loss and enabling accurate data analysis at a transmission destination even when a data transmission failure occurs. A storage unit 14 for storing sampled measurement data, a transmission unit 16 for transmitting the stored measurement data to a network 2, and a control unit 18 for controlling the storage unit 14 and the transmission unit 16 are provided. When the capacity of the measurement data in the storage unit 14 reaches a threshold due to a network failure, the control unit 18 aggregates the plurality of stored measurement data to generate aggregate data, and the aggregated data is transferred to the network 2 after the network failure is recovered. A data transmission device 10 for transmission. [Selection] Figure 1

Description

  The present invention relates to a data transmission device and a remote monitoring system.

  2. Description of the Related Art Conventionally, a remote monitoring system that can perform remote monitoring of a plant by transmitting measurement data of a measurement object measured in the plant from a data transmission device to a server via a network such as the Internet is known. (For example, patent document 1).

  In such a remote monitoring system, it is desirable to transmit measurement data sampled at a predetermined period to a server as needed so that a change in measurement data over time can be analyzed and verified at a transmission destination.

  However, if the network is interrupted due to a hub or router failure, cable disconnection, line failure, etc., and data transmission cannot be performed from the data transmission device, measurement data must be stored in the data transmission device buffer until recovery. No longer. For this reason, if it takes a long time to recover, a part of the measurement data exceeding the capacity of the buffer may be lost, and there is a problem that accurate analysis of the measurement data becomes difficult.

JP 2002-152862 A

  Accordingly, an object of the present invention is to provide a data transmission apparatus and a remote monitoring system that can perform accurate data analysis at a transmission destination by suppressing data loss even when a data transmission failure occurs.

The object of the present invention includes a storage unit that stores sampled measurement data, a transmission unit that transmits the stored measurement data to a network, and a control unit that controls the storage unit and the transmission unit. wherein, when the capacity of the measurement data in the storage unit by the network failure to reach the threshold value, by summing for each preset total period of the stored plurality of the measurement data to generate the aggregate data, the After the aggregated data is stored in the storage unit and the generation of the aggregated data is started, the aggregated mode is entered until a network failure is recovered, and the latest aggregated data in the storage unit is updated based on the sampled measurement data. Recalculate and update, store the updated aggregated data in the storage unit, and the capacity of the aggregated data accumulated in the storage unit reaches a threshold The performed long to recount Period and generates a new the aggregate data is achieved by a data transmission device for transmitting the aggregate data after recovery of a network failure in a network.

In the data transmission device, the measurement data may comprise a time data corresponding to the measurement time, the control part, based on the time data, it is possible to generate the aggregate data.

  The aggregate data preferably includes data relating to a minimum value, a maximum value, and an average value of the plurality of measurement data.

The object of the present invention is a remote monitoring system in which a data transmission device is connected to a server via a network, and data transmitted from the data transmission device is stored in the server, the data transmission device comprising: A storage unit that stores the sampled measurement data; a transmission unit that transmits the stored measurement data to a network; and a control unit that controls the storage unit and the transmission unit. When the capacity of the measurement data in the storage unit reaches a threshold due to a failure, the stored measurement data is aggregated for each preset aggregation period to generate aggregate data, and the aggregated data is stored in the storage unit After the data is stored and the generation of the aggregated data is started, the aggregated mode is entered until the network failure is recovered. The latest total data in the storage unit is recalculated and updated based on the measurement data, the updated total data is stored in the storage unit, and the capacity of the total data accumulated in the storage unit is a threshold value. This is achieved by a remote monitoring system in which the aggregation period is lengthened and re-aggregation is performed, new aggregation data is generated, and the aggregation data is transmitted to the network after recovery from a network failure.

  According to the present invention, it is possible to provide a data transmission device and a remote monitoring system that enable accurate data analysis at a transmission destination by suppressing data loss even when a data transmission failure occurs.

1 is a schematic configuration diagram of a remote monitoring system according to an embodiment of the present invention. It is a sequence diagram for demonstrating the action | operation of the data transmitter in the remote monitoring system shown in FIG. It is a figure which shows an example of measurement data typically. It is a figure which shows an example of measurement data and total data typically. It is a state transition diagram which shows the action | operation of a data transmitter. It is a schematic block diagram of the server in the remote monitoring system shown in FIG.

  Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. FIG. 1 is a schematic configuration diagram of a remote monitoring system according to an embodiment of the present invention. As shown in FIG. 1, the remote monitoring system 1 is configured by connecting a data transmission apparatus 10 installed in a plant, a facility, or the like to a server 20 via a network 2 such as the Internet.

  The data transmission device 10 stores a measurement unit 12 connected to a plurality of sensors 4 that detect measurement data such as temperature, current, voltage, pressure, water level, and flow rate in a power plant or water facility, and stores the measurement data. Unit 14, a transmission unit 16 that transmits the measurement data stored in the storage unit 14 to the network 2, and a control unit 18 that controls the storage unit 14 and the transmission unit 16.

  The measurement unit 12 samples the analog signal input from the sensor 4 and digitizes the measurement data. The digitized measurement data is stored in the storage unit 14. The measurement unit 12 is single in the present embodiment, but may be plural. For example, when the number of sensors 4 is large, the sensors 4 are grouped according to usage, use time, etc. The measurement part 12 can be provided corresponding to these. The storage unit 14 is a buffer that temporarily stores measurement data, for example, a ring buffer. The transmission unit 16 is configured by a communication module.

  The control unit 18 transmits the measurement data stored in the storage unit 14 from the transmission unit 16 to the network 2 and deletes the transmitted measurement data from the storage unit 14 at normal times. On the other hand, when the measurement data cannot be transmitted from the transmission unit 16 due to a network failure, the measurement data transmitted from the measurement unit 12 is gradually accumulated in the storage unit 14. When the control unit 18 detects that the capacity of the measurement data accumulated in the storage unit 14 has reached a preset threshold value (that is, the free capacity has become equal to or less than the threshold value), the control unit 18 stores the measurement data in the storage unit 14. A plurality of measurement data is read and aggregated to generate aggregated data, thereby reducing the data capacity. A method of generating the aggregate data will be described later in detail.

  The server 20 is, for example, a cloud server installed in a data center, and stores measurement data transmitted from the data transmission device 10 for a certain period (for example, one month), and aggregates, analyzes, and trend recognition of the measurement data. A predetermined calculation process such as this is performed to generate and store report data. Measurement data and report data stored in the cloud server 20 can be viewed on the user terminal 30 based on access from the user terminal 30.

  Next, the operation of the data transmission device 10 in the remote monitoring system 1 described above will be described with reference to the sequence diagram shown in FIG. In the normal mode in which the remote monitoring system 1 operates normally, as shown in FIG. 2A, the measurement data is transmitted from the measurement unit 12 at a predetermined sampling period (for example, 5 seconds), and the control unit 18 The measurement data is stored in the storage unit 14. When a predetermined amount (for example, five) of measurement data is stored in the storage unit 14, the control unit 18 collectively transmits these measurement data to the network 2 via the transmission unit 16.

  FIG. 3 is a diagram schematically illustrating an example of measurement data. The measurement data is given a time key corresponding to the measurement time, and each measurement value (temperature, pressure, etc.) is input to the area (measurement 1, measurement 2,..., Measurement N) corresponding to each sensor. Is done. The time key is composed of year (yy), month (mm), day (dd), hour (hh), minute (mm), and second (ss). For example, the time key at midnight on July 1, 2014 is “140701-000000”.

  On the other hand, transmission of measurement data from the transmission unit 16 due to a network failure (for example, disconnection of a line from the transmission unit 16 to the network 2, failure of the transmission unit 16 of a router device, temporary connection stoppage due to wiring work, etc.) When the control unit 18 detects that the capacity of the measurement data accumulated in the storage unit 14 has reached the threshold value, as shown in FIG. The measurement data accumulated in the storage unit 14 is read out and aggregated, the generated aggregated data is stored in the storage unit 14, and the original measured data is deleted from the storage unit 14.

  FIG. 4 is a diagram schematically illustrating an example of total data obtained by totaling measurement data. The measurement data is aggregated for each preset aggregation period, and the measurement data corresponding to each aggregation period is extracted based on the time key, and the minimum value, maximum value, and average for each sensor are extracted from these measurement data. Get the value and use it as aggregate data. For example, the total period of the total data is 5 minutes, and for the measurement data with the time key from “140701-000000” to “140701-000455”, the minimum value of the measurement value for measurement 1 is 5, the maximum value is 12, and the average value Is 9, the measurement data is “5, 12, 9” for the time key “140701-0000”. By performing the same calculation for the other sensors (measurements 2,..., N), the total data of the time key “140701-0000” is generated. Thus, total data corresponding to the time keys “140701-0000”, “140701-0005”,... Every 5 minutes can be obtained. The items of the aggregate data may be statistical information other than the minimum value, the maximum value, and the average value. For example, the mode value, median value, standard deviation, and the like can be included.

  The total number of measurement data for 5 minutes before aggregation corresponding to an arbitrary sensor (for example, measurement 1) is 60 because the measurement data is obtained every 5 seconds, whereas these measurement data are aggregated. Since the number of total data thus obtained is three, ie, the minimum value, maximum value, and average value, the data capacity is compressed to 1/20. In this way, by collecting a plurality of measurement data and generating the aggregated data, the free capacity of the storage unit 14 is expanded, and the loss of the measurement data can be prevented.

  After the generation of the total data is started, the total mode is entered. As shown in FIG. 2C, when the measurement data is transmitted from the measurement unit 12, the control unit 18 regenerates the latest total data in the storage unit 14. Calculation and updating are performed, and the updated aggregated data is stored in the storage unit 14. Thus, the aggregation mode is continued until transmission from the transmission unit 16 to the network 2 becomes possible. When transmission from the transmission unit 16 becomes possible due to the recovery of the network failure, the control unit 18 transmits the aggregate data stored in the storage unit 14 to the network 2. Thereafter, the normal mode shown in FIG. 2A is restored, and the storage unit 14 stores the measurement data.

  If the total period of the total data is too long, the characteristics of each measurement data are likely to be lost. Therefore, considering the time normally required to recover from a network failure, it is as short as possible without causing any measurement data loss. It is preferable. The aggregation period of the aggregation data is initially set to a short period (for example, 1 minute), and when the control unit 18 detects that the capacity of the aggregation data accumulated in the storage unit 14 has reached the threshold, the aggregation period is set. It can be configured to re-aggregate by gradually increasing the length and generate new aggregated data.

  FIG. 5 is a state transition diagram showing the operation of the data transmission device 10 described above. In the normal mode, the storage unit 14 is waiting for measurement data (step S1), and the measurement data transmitted from the measurement unit 12 is stored in the storage unit 14 as it is (step S2). When a network failure occurs and the free space of the storage unit 14 decreases due to the accumulation of measurement data, the failure mode is entered, and the storage unit 14 stores the aggregate data obtained by aggregating the measurement data ( Step S3). As a result, the free space in the storage unit 14 increases, and the measurement data waiting state in the aggregation mode is entered (step S4). When the measurement data is transmitted from the measurement unit 12 in the aggregation mode, the aggregation data in the storage unit 14 is updated (step S5). When the free space of the storage unit 14 is reduced due to the accumulation of the aggregate data, the aggregation period of the aggregate data is extended and re-aggregation is performed to generate new aggregate data (step S6). The totaling period is preferably extended stepwise, for example, 5 minutes, 10 minutes, 30 minutes, 1 hour. When the network failure is recovered, the aggregated data in the storage unit 14 is collectively transmitted from the transmission unit 16 (step S7), and the measurement data waiting state in the normal mode is entered (step S1).

  As shown in FIG. 6, the server 20 sequentially stores the measurement data transmitted from the data transmission device 10 in the database, stores the data for a predetermined period (for example, one month), and then deletes the measurement data from the oldest one. Also, aggregate data is generated based on the measurement data transmitted from the data transmission device 10, and the newly transmitted unaggregated measurement data is aggregated at an appropriate timing to update the aggregate data. The item of the aggregate data is preferably the same as the format of the aggregate data generated by the data transmission apparatus 10 when a network failure occurs, and includes, for example, measurement time, minimum value, maximum value, and average value (total value / number of data) be able to. The total time of the total data can be set, for example, every hour, every day, every month, every year, and the total data of each total time can be stored.

  When the aggregate data is transmitted from the data transmission device 10 to the server 20 after the occurrence of the network failure, the aggregate data is used as it is for updating the aggregate data of the server 20. Thus, in the server 20, the measurement data transmitted from the data transmission device 10 is stored for a predetermined period, and total data obtained by totaling the measurement data is stored. The aggregated data can be used for analysis of trends and factors of measurement data, and report data can be created by confirming the validity of the analysis results based on actual measurement data. The measurement data, total data, and report data stored in the server 20 can be viewed at any place by accessing from a user terminal 30 such as a personal computer or a mobile terminal connected to the network 2.

  The remote monitoring system 1 according to the present embodiment uses the measurement data and the total data at the server 20 by transmitting the measurement data from the data transmission device 10 to the network 2 at the normal time when the network operates normally. can do. In addition, in the event of a network failure, the data transmission device 10 can generate the aggregated data so that the aggregated data can be used in the server 20, thereby preventing the measurement data until the failure recovery from being completely lost. And the reliability of the analysis result of the measurement data can be maintained.

DESCRIPTION OF SYMBOLS 1 Remote monitoring system 2 Network 4 Sensor 10 Data transmitter 12 Measuring part 14 Storage part 16 Transmission part 18 Control part 20 Server

Claims (4)

A storage unit for storing sampled measurement data;
A transmission unit for transmitting the stored measurement data to a network;
A control unit for controlling the storage unit and the transmission unit,
Wherein, when the capacity of the measurement data in the storage unit by the network failure to reach the threshold value, by summing for each preset total period of the stored plurality of the measurement data to generate the aggregate data, the After the aggregated data is stored in the storage unit and the generation of the aggregated data is started, the aggregated mode is entered until a network failure is recovered, and the latest aggregated data in the storage unit is updated based on the sampled measurement data. Recalculate and update, store the updated aggregated data in the storage unit, and when the capacity of the aggregated data accumulated in the storage unit reaches a threshold value, recalculate by extending the aggregation period, Generating the aggregate data,
A data transmission device that transmits the aggregated data to a network after recovery from a network failure. The measurement data includes time data corresponding to the measurement time,
The control unit, the data transmission device according to claim 1 to generate the aggregate data on the basis of the time data.   The data transmission device according to claim 1, wherein the aggregate data includes data related to a minimum value, a maximum value, and an average value of the plurality of measurement data. A remote monitoring system in which a data transmission device is connected to a server via a network and stores data transmitted from the data transmission device in the server,
The data transmission device includes:
A storage unit for storing sampled measurement data;
A transmission unit for transmitting the stored measurement data to a network;
A control unit for controlling the storage unit and the transmission unit,
Wherein, when the capacity of the measurement data in the storage unit by the network failure to reach the threshold value, by summing for each preset total period of the stored plurality of measurement data to generate the aggregate data, the After the aggregated data is stored in the storage unit and the generation of the aggregated data is started, the aggregated mode is entered until a network failure is recovered, and the latest aggregated data in the storage unit is updated based on the sampled measurement data. Recalculate and update, store the updated aggregated data in the storage unit, and when the capacity of the aggregated data accumulated in the storage unit reaches a threshold value, recalculate by extending the aggregation period, Generating the aggregate data,
A remote monitoring system for transmitting the aggregate data to a network after recovery from a network failure.

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