Information processing device, information processing method, and information processing program

Abstract

A movable edge device (50) installed so as to be able to be attached to a field device (2) in a workshop acquires smoothed or unsmoothed output data output from the field device (2), estimates the unsmoothed output data when the output data is smoothed, analyzes the unsmoothed output data, and outputs the smoothed output data to the field device (2). A physical phenomenon occurring in the field device (2) is detected, and the detection result of the physical phenomenon is transmitted to an external device.

Description

Technical Field

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. Background Art

[0002] Conventionally, for process control in various plants utilizing petroleum, petrochemical, chemical, and gas processing, it is known that a controller dampens the output values ​​of field instruments in the plant in order to stably control the process (see, for example, Patent Document 1).

[0003] On the other hand, physical phenomena that occur within a factory floor can occur over very short periods of time. For example, when using a pump to transfer or pressurize liquids, cavitation, water hammer, slag flow, and other physical phenomena can occur within the pump piping, potentially disrupting factory production.

[0004] Patent Document 1: Japanese Patent Application Laid-Open No. 2007-213483 Summary of the Invention

[0005] Therefore, the conventional technology has room for further improvement in terms of easily detecting physical phenomena occurring in the workshop while suppressing the impact on existing process control.

[0006] Specifically, in conventional technology, for example, if the field instrument is a pressure transmitter measuring the pressure of a liquid flowing through a pipe, the pressure value output by the pressure transmitter is damped, and the controller processes the smoothed data, which displays pressure fluctuations smoother than actual pressure fluctuations. However, smoothed data flattens temporal fluctuations, creating a so-called bluntness, making it difficult to detect physical phenomena occurring within extremely short time periods based on this blunted data.

[0007] On the other hand, the process control system in the workshop is required to operate stably. From this perspective, it is difficult to implement a measure to make the controller process data with relatively large temporal fluctuations by, for example, changing the damping coefficient of the damping process, because the controller may not be able to follow the data.

[0008] Furthermore, given the current situation where process control systems are being pursued for continuous operation, it is not easy to modify the system design so that the controller can follow the process.

[0009] An object of the present invention is to provide an information processing device, an information processing method, and an information processing program that can easily detect a physical phenomenon occurring in a plant while suppressing the influence on existing process control.

[0010] An information processing device according to one aspect is a portable information processing device that is installed in the form of a field instrument in a workshop. The information processing device includes: an acquisition unit that acquires smoothed or unsmoothed output data output from the field instrument; an estimation unit that, when the output data is smoothed, estimates the unsmoothed output data; a detection unit that detects a physical phenomenon generated in the field instrument by analyzing the unsmoothed output data; and a transmission unit that transmits the detection result of the physical phenomenon to an external device.

[0011] An information processing method according to one aspect causes a portable computer installed in a field instrument that can be installed in a workshop to perform the following processing: acquiring smoothed or unsmoothed output data output from the field instrument; in the case of smoothed output data, estimating the unsmoothed output data; detecting a physical phenomenon generated in the field instrument by analyzing the unsmoothed output data; and transmitting the detection result of the physical phenomenon to an external device.

[0012] An information processing program according to one aspect causes a portable computer installed in a field instrument that can be installed in a workshop to execute the following processing: acquiring smoothed or unsmoothed output data output from the field instrument; estimating the unsmoothed output data if the output data is smoothed; detecting a physical phenomenon generated in the field instrument by analyzing the unsmoothed output data; and transmitting the detection result of the physical phenomenon to an external device.

[0013] Effects of the Invention

[0014] According to one embodiment, it is possible to provide an information processing device, an information processing method, and an information processing program that can suppress the influence on existing process control and easily detect a physical phenomenon occurring in a plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a diagram illustrating problems with the prior art.

[0016] Figure 2 This is a diagram schematically illustrating an information processing method according to an embodiment.

[0017] Figure 3 It is a diagram showing an example of the overall configuration of a plant control system according to an embodiment.

[0018] Figure 4 This is a block diagram showing a configuration example of an edge device according to an embodiment.

[0019] Figure 5This is a flowchart showing the flow of processing performed by the edge device involved in the embodiment.

[0020] Figure 6 This is a diagram (part 1) showing a pattern example of processing allocation among devices.

[0021] Figure 7 This is a diagram (part 2) showing a pattern example of processing allocation among devices.

[0022] Figure 8 This is a diagram (part 3) showing a pattern example of processing allocation among devices.

[0023] Figure 9 This is a diagram (part 4) showing a pattern example of processing allocation among devices.

[0024] Figure 10 This is an explanatory diagram of the case where a mesh network is configured.

[0025] Figure 11 This is an explanatory diagram for sharing detected physical phenomena.

[0026] Figure 12 This is an explanatory diagram of the edge device involved in the first modification.

[0027] Figure 13 This is an explanatory diagram of the edge device involved in the second modification.

[0028] Figure 14 This diagram explains how to recycle and replace edge devices.

[0029] Figure 15 This is a hardware configuration diagram showing an example of a computer that realizes the functions of the edge device involved in the embodiment. DETAILED DESCRIPTION

[0030] Below, embodiments of the information processing device, information processing method, and information processing program disclosed in this application are described in detail based on the accompanying drawings. Furthermore, the present invention is not limited to these embodiments. Identical elements are denoted by the same reference numerals, and repeated descriptions are appropriately omitted. The various embodiments may be appropriately combined within the scope of non-contradiction.

[0031] In the following, when it is necessary to distinguish between a plurality of identical elements, the same reference numeral will be followed by a number in the form of "-n" (n is a natural number). If it is not necessary to distinguish between the same elements, the same reference numeral will be given instead of the number in this form.

[0032] In addition, the information processing device according to the embodiment is set as the edge device 50 (see Figure 2 The edge device 50 is used in the process control system 500 (see Figure 3 ) is a mobile information processing device used to realize the so-called IIoT (Industrial Internet of Things).

[0033] In the following, the "reduction" of process data output from field instruments during process control will be referred to as "smoothing," as appropriate. Smoothed data will also be referred to as "smoothed data," as appropriate. In contrast, data before smoothing will be referred to as "raw data," as appropriate. Raw data is an example of "unsmoothed output data."

[0034] [Overview of the Information Processing Method According to the Present Embodiment]

[0035] First, use Figure 1 and Figure 2 An overview of the information processing method according to the embodiment will be described. Figure 1 This is a diagram illustrating problems with the prior art. Figure 2 This is a diagram schematically illustrating an information processing method according to an embodiment.

[0036] like Figure 1 As shown, in a workshop 1, field devices 2 are installed at various locations in the workshop 1. The field devices 2 are configured to be able to communicate with other devices (such as a DCS 10 described later) through wireless communication, wired communication, and the like.

[0037] Field instruments 2 are classified into sensor instruments, operating instruments, etc. Sensor instruments are instruments that acquire (detect, measure, etc.) physical quantities. Examples of sensor instruments are pressure transmitters 2a, temperature transmitters 2b (see Figure 3 )、Flowmeter 2c (refer to Figure 3 ), Scientific Instruments 2e (refer to Figure 3 ) etc. An operating instrument is, for example, an instrument that operates on a physical quantity. Examples of operating instruments are pumps, control valves, fans, etc., which are driven by motors, actuators, etc.

[0038] The sensor devices in the field devices 2 transmit process data, which is data indicating the state of the process in the plant 1, to a DCS (Distributed Control Systems) 10. The DCS 10 is a so-called distributed control system including a plurality of process controllers and a plurality of operation and monitoring devices.

[0039] The DCS 10 mainly performs process control based on PID (Proportional-Integral-Differential) control based on process data from the field devices 2. Specifically, the DCS 10 controls the control devices based on the operation amounts for the control devices among the field devices 2 determined based on the process data.

[0040] At this time, as shown in illustration E1 in the figure, the process data is smoothed by the field device 2 or the DCS 10 to reduce ripple in the data waveform for stable control of the plant 1. Furthermore, as shown in illustration E2 in the figure, the DCS 10 executes process control based on the smoothed data.

[0041] However, the smoothed data is blunted by smoothing out temporal fluctuations, and therefore it is difficult to detect instantaneous physical phenomena such as cavitation, water hammer, and slag flow based on the blunted data as shown in Explanation E2.

[0042] On the other hand, the process control system 500 of the plant 1 is required to operate stably. From this perspective, it is difficult to implement a measure such as changing the damping coefficient of the smoothing process so that the DCS 10 can process data with relatively large temporal fluctuations (e.g., raw data) because the DCS 10 may not be able to track it.

[0043] While it is also possible to modify the system design to enable tracking by the DCS 10, as described in Explanation E2, it is not easy to change the design of the continuously operating process control system 500, and this is also the current situation. This also makes it difficult to detect transient physical phenomena using existing technology.

[0044] Therefore, in the information processing method involved in the embodiment, the edge device 50 performs the following processing: obtains smoothed or unsmoothed output data output from the field instrument 2, estimates the unsmoothed output data when the output data is smoothed, analyzes the unsmoothed output data, thereby detecting the physical phenomenon generated in the field instrument 2, and sends the detection result of the physical phenomenon to an external device.

[0045] As described above, the edge device 50 is a mobile information processing device used to implement the so-called IIoT in the process control system 500 according to the embodiment. The edge device 50 is an information processing device that is detachable from the field device 2 and capable of communicating with external devices. The edge device 50 is a small device, for example, approximately 5 cm square.

[0046] use Figure 2 Here, the field device 2 is a pressure transmitter 2a. The edge device 50 is attached to the back of the pressure transmitter 2a, for example, near the terminal block, by gluing or the like.

[0047] The edge device 50 is equipped with a battery, and the battery is used to ensure power supply. The battery is, for example, a solar cell. In addition, the edge device 50 has a current sensor 52.

[0048] The current sensor 52 is implemented as a non-contact, clampless sensor. Specifically, the current sensor 52 is attached to the wire W extending from the pressure transmitter 2a toward the DCS 10, using adhesive or other means. Furthermore, the current sensor 52 indirectly reads the current flowing through the wire W from the pressure transmitter 2a toward the DCS 10. The current sensor 52 monitors the current by measuring the magnetic field generated by the current flowing through the wire W using a magnetic sensor within the sensor head of the current sensor 52, deriving the current value as the current.

[0049] Here, a predetermined damping coefficient is set for the pressure transmitter 2 a , and the current signal flowing from the pressure transmitter 2 a toward the DCS 10 through the wire W is smoothed data.

[0050] In the information processing method according to the embodiment, the edge device 50 uses the current sensor 52 to acquire data flowing through the wire W (step S1). If the acquired data is smoothed data, the edge device 50 performs an estimation process to estimate the raw data, which is the unsmoothed output data, as needed (step S2).

[0051] Furthermore, since damping is broadly equivalent to integration, the edge device 50 estimates the raw data using, for example, differentiation, the inverse of integration. However, this is not limited to differentiation; the raw data may also be estimated using difference processing, partial differentiation processing, or the like.

[0052] In addition, when the pressure transmitter 2a is set to output raw data, the edge device 50 may not execute step S2. The edge device 50 may set the presence or absence of such processing as setting information in advance.

[0053] The edge device 50 then detects physical phenomena based on the raw data estimated through estimation processing or output from the pressure transmitter 2a (step S3). The edge device 50 is pre-installed with a program that executes an algorithm for detecting physical phenomena based on the raw data. This program can detect transient physical phenomena through detection processing. This program can be appropriately replaced, for example, remotely, depending on the physical phenomenon being detected.

[0054] If a physical phenomenon is detected, the edge device 50 transmits the detection result to an external device (step S4). The edge device 50 transmits the detection result to the external device using, for example, Wi-Fi (registered trademark) or Bluetooth (registered trademark).

[0055] The external device is, for example, a data logger 20, other edge devices 50, an integrated server device 100, a cloud server 200, etc. Figure 3An example of the overall configuration of the process control system 500 including the above-mentioned components will be described.

[0056] When the occurrence of a physical phenomenon is notified from the edge device 50 , the external device stores the notification as a log, or performs control corresponding to the occurrence of the physical phenomenon on the DCS 10 etc. based on existing process control operations.

[0057] Thus, in the information processing method involved in the embodiment, the edge device 50, which is a portable information processing device that can be installed on the field instrument 2 in the workshop 1, performs the following processing: obtaining smoothed or unsmoothed output data output from the field instrument 2, in the case of smoothed output data, estimating the unsmoothed output data, analyzing the unsmoothed output data, thereby detecting physical phenomena generated in the field instrument 2, and sending the detection results of the physical phenomena to an external device.

[0058] Therefore, according to the information processing method according to the embodiment, it is possible to easily detect physical phenomena occurring in the plant 1 while suppressing the influence on the existing process control.

[0059] Furthermore, “capable of being mounted on the field device 2” includes not only the case where it can be mounted on the main body of the field device 2 but also the case where it can be mounted near the field device 2. Figure 2 The example shown. Figures 12 and 13 The following describes a modification of the configuration of the edge device 50. Figure 2 In the description, the edge device 50 performs the estimation processing of the raw data and the detection processing of the physical phenomenon, but it can also be set to be part of the above processing by an external device. Figures 6 to 9 etc. and describe a specific example of the processing allocation.

[0060] Next, a configuration example of the process control system 500 including the edge device 50 according to the embodiment will be described in more detail.

[0061] [Overall Configuration Example of Process Control System 500]

[0062] Figure 3 1 is a diagram showing an example of the overall configuration of a process control system 500 according to the embodiment. The process control system 500 is a plant system that controls and monitors the operation of the plant 1 .

[0063] like Figure 3As shown, the process control system 500 includes a plant 1 , a DCS 10 , a data recorder 20 , an advanced control device 30 , a protocol server 40 , an integrated server device 100 , and a cloud server 200 .

[0064] Plant 1 is an example of various plants that utilize petroleum, petrochemicals, chemicals, and gases. Plant 1 includes factories and other facilities with various facilities for producing products. Examples of products include LNG (liquefied natural gas), resins (plastics, nylon, etc.), and chemical products. Examples of facilities include factory facilities, machinery facilities, production facilities, power generation facilities, storage facilities, and facilities at wellheads for oil and natural gas extraction.

[0065] As described above, field instruments 2 are installed at various locations in the workshop 1. These instruments include pressure transmitters 2a, temperature transmitters 2b, flowmeters 2c, control valves 2d, and scientific instruments 2e. Flowmeters 2c include Coriolis flowmeters, electromagnetic flowmeters, and vortex flowmeters. Scientific instruments 2e include oxygen concentration meters and pH meters.

[0066] Furthermore, a field panel 3 is installed in the workshop 1 for each set of field devices 2, such as the field devices 2-1, 2-2, ..., 2-n. The field panel 3 is, for example, a relay terminal board. The field panel 3 is connected to the plurality of field devices 2 and, for example, relays the signals output from each field device 2 and outputs them to the DCS 10.

[0067] Furthermore, an edge device 50 is installed in each of the field instruments 2 and the field panel 3. When the edge device 50 is installed in the field panel 3, it can be placed inside the field panel 3, for example, to collect and store data from the connected field instruments 2. When placed inside the field panel 3, direct connection to the field panel 3 makes it easier to secure a power supply for the edge device 50.

[0068] like Figure 3 As shown, the edge device 50 can be installed on the pressure transmitter 2a, temperature transmitter 2b, flowmeter 2c, control valve 2d, and scientific instrument 2e, respectively. In addition to the above devices, the edge device 50 can also be installed on a level, a weight scale (load sensor), a distance meter, etc. The edge device 50 installed on the control valve 2d reads the signal (4-20mA) corresponding to the actual valve opening. In the detection and processing of physical phenomena using the edge device 50, by estimating the raw data sampled at high speed, in addition to cavitation, water hammer, and slag flow, rust and blockage of the piping, foreign matter in the pump, and damage to the impeller can also be detected.

[0069] Furthermore, when detecting physical phenomena, if the edge device 50 is installed on, for example, a flow meter 2c, slag flow and surge phenomena can be detected. If the edge device 50 is installed on a control valve 2d, the difference between the indicated opening and the actual opening can reveal, for example, stick-slip phenomena. If the actual opening is unstable, extremely subtle changes in the process (such as pulsation, intrusion of foreign matter, blockage or leakage of asphalt or hydrates) can be detected. Even slight changes like these can cause wear on gaskets and rods. If the edge device 50 is installed on a temperature transmitter 2b, insulation failure (deterioration of the insulation material) can be detected.

[0070] The DCS 10 includes multiple process controllers and multiple operating / monitoring devices. Each process controller is connected to each field device 2 in the plant 1 so that they can communicate with each other via a fieldbus or the like. The operation control device 11 is an example of a process controller. The monitoring device 12 is an example of an operating / monitoring device.

[0071] The operation control device 11 collects data from each field device 2 and notifies the relevant data as process data to the high-level control device 30. The operation control device 11 also performs process control based on instructions from the high-level control device 30 based on the process data.

[0072] The monitoring device 12 is a device for monitoring the plant 1 or arbitrarily operating the plant 1. The monitoring device 12 displays various information related to the plant 1 and allows an operator to monitor the operation of each field device 2, the status of various processes, and the like.

[0073] The monitoring device 12 also receives a desired instruction operation from an operator to each field device 2 and notifies the operation control device 11. The operation control device 11 controls each field device 2 based on the received instruction operation.

[0074] The data logger 20 logs the data transmitted from each edge device 50 and stores the data as log information related to physical phenomenon detection.

[0075] The DCS 10, data logger 20, and protocol server 40 are connected to each other so as to be able to communicate with each other via a network N1. The advanced control device 30, protocol server 40, and integrated server device 100 are connected to each other so as to be able to communicate with each other via a network N2. The integrated server device 100 and cloud server 200 are connected to each other so as to be able to communicate with each other via a network N3.

[0076] Network N1 employs, for example, a purpose-built control bus. Data transmitted via network N1 is related to plant 1, including data used to control plant 1. This control may include real-time control. Therefore, to ensure reliable data transmission, network N1 may be duplicated, for example.

[0077] When network N1 is duplicated, it can transmit the same data in parallel over two communication paths. In this case, even if one of the duplicated communication paths fails, data transmission (transmission and reception) can be maintained over the other communication path. Vnet / IP (registered trademark) and other protocols can be used as this type of network N1.

[0078] The network N2 may utilize a LAN (Local Area Network) or the like. The network N2 may also be duplicated for reliability reasons. The network N3 may utilize the Internet, a mobile phone network, or the like.

[0079] Each edge device 50 can send data to external devices such as the data recorder 20, other edge devices 50, the integrated server device 100, and the cloud server 200 through the above-mentioned networks N1, N2, and N3 through wireless communication or wired communication.

[0080] also, Figure 3 It is not necessary to represent a physical structure. Therefore, the network / topology of the process control system 500 is not limited to Figure 3 Bus type shown.

[0081] The advanced control device 30 is an example of a control device that performs advanced process control (APC) of the plant 1. The advanced control device 30 acquires process data from the operation control device 11 via the protocol server 40. Furthermore, the advanced control device 30 determines operating conditions for the field devices 2 based on the acquired process data and instructions from the integrated server 100. Furthermore, the advanced control device 30 instructs the operation control of the field devices 2 based on the determined operating conditions. Specifically, the advanced control device 30 notifies the operation control device 11 of the operating variables of each field device 2 corresponding to the determined operating conditions via the protocol server 40.

[0082] The protocol server 40 is a device responsible for format conversion and exchange of data between the network N1 and the network N2.

[0083] For example, the protocol (data format, communication standard, etc.) of network N1 differs from the protocol of network N2, and the protocol server 40 performs protocol conversion for data between them. The data format of network N1 may conform to the unique standards of each process controller that controls the operation of plant 1. The data format of network N2 may conform to the protocol of the advanced control device 30 and the integrated server device 100, such as OPC (Open Platform Communications). The protocol server 40 may be an OPC server.

[0084] The integrated server device 100 is a device that comprehensively manages the process control system 500. The integrated server device 100 collects alarms, for example, notified from each process controller via the network N1, the protocol server 40, and the network N2, and displays the alarm messages and current alarm status. The operator can confirm the status of the entire process control system 500, including the alarm messages and current alarm status, by viewing the display content displayed on the integrated server device 100. Furthermore, the operator inputs instructions corresponding to the confirmed status of the process control system 500 into the integrated server device 100, and the integrated server device 100 transmits an instruction signal corresponding to the instruction to the high-level control device 30.

[0085] The cloud server 200 is implemented as a public cloud, for example, and is configured to provide a service for executing the estimation process of step S2 and the physical phenomenon detection process of step S3.

[0086] [Configuration Example of Edge Device 50]

[0087] under, Figure 4 is a block diagram showing a configuration example of an edge device 50 according to an embodiment. Figure 4 In the figure, only the components required for the description of this embodiment are shown as functional blocks, and descriptions of common components are omitted.

[0088] In addition, when using Figure 4 In the description of the present invention, the description of the structural elements that have already been described is appropriately simplified or omitted.

[0089] like Figure 4 As shown, the edge device 50 includes an HMI (Human Machine Interface) unit 51 , a current sensor 52 , a communication unit 53 , a power supply unit 54 , a storage unit 55 , and a control unit 56 .

[0090] The HMI unit 51 is a component that provides an interface component related to input and output for a user (e.g., an operator). The HMI unit 51 includes an input interface that receives input operations from the user. The input interface is implemented, for example, by a touch panel, a pointing device, buttons, a microphone, etc. Alternatively, the input interface can be implemented as a software component.

[0091] The HMI unit 51 also includes an output interface that provides user with visual information, light information, audio information, vibration information, and the like. The output interface can be implemented, for example, by a display, a light-emitting diode (LED), a speaker, or a vibrator. Furthermore, the HMI unit 51 can be implemented as a touch panel display integrated with the input and output interfaces.

[0092] Furthermore, since the edge device 50 is a small device, the HMI unit 51 may be an interface component capable of remote input and remote output from a remotely connected PC (Personal Computer) or the like.

[0093] The current sensor 52 has already been described, so its description is omitted here. The communication unit 53 connects the edge device 50 to external devices such as the data logger 20, other edge devices 50, the integrated server device 100, and the cloud server 200 via wireless communication and / or wired communication using Wi-Fi (registered trademark), Bluetooth (registered trademark), etc. The communication unit 53 is implemented by a network adapter, etc.

[0094] The power supply unit 54 is connected to a power source and supplies power to the edge device 50. The edge device 50 is equipped with a battery B, and the power supply unit 54 secures power from the battery B. The battery B may be a solar cell, a dry cell, or the like.

[0095] The storage unit 55 is implemented by a storage device such as RAM (Random Access Memory) or flash memory. The storage unit 55 can be implemented by a memory card such as an SD card. The storage unit 55 stores the information processing program according to the embodiment executed by the control unit 56. Furthermore, the storage unit 55 stores various information used in the information processing executed by the control unit 56.

[0096] exist Figure 4In the example shown in FIG, the storage unit 55 stores configuration information 55a, a detection model 55b, and logging information 55c. Configuration information 55a is information related to the configuration of the processing executed by the edge device 50. Configuration information 55a includes, for example, information such as whether the estimation processing in step S2 or the detection processing in step S3 described above needs to be executed. Configuration information 55a also includes, for example, information such as the external device to which data is transmitted. Configuration information 55a also includes, for example, information such as the determination threshold used in the detection processing.

[0097] The setting information 55 a is set by a setting unit 56 b described later based on user operations or the like, depending on the installation method of the edge device 50 , the setting contents of the installed field device 2 , and the like.

[0098] The detection model 55b is an analytical model used for detecting physical phenomena. For example, the detection model 55b can be a mathematical model described by a mathematical formula for analyzing the physical phenomenon to be detected, or a learning model that has undergone AI (Artificial Intelligence) learning using a machine learning algorithm. In the case of a learning model, the detection model 55b learns when, for example, estimated raw data or raw data output from the field instrument 2 is input, so that if one or more of the specified physical phenomena are met, the discrimination value of the physical phenomenon is output. As a machine learning algorithm, for example, deep learning can be used, but this is not limited to this algorithm.

[0099] The logging information 55 c is a log data group related to information processing in the edge device 50 , and is stored in a logging unit 56 g described later.

[0100] The control unit 56 corresponds to a so-called processor and is implemented by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like.

[0101] The control unit 56 reads the information processing program according to the embodiment stored in the storage unit 55 and executes it using the RAM as a work area. The control unit 56 may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0102] The control unit 56 includes a UI (User Interface) control unit 56a, a setting unit 56b, an acquisition unit 56c, an estimation unit 56d, a detection unit 56e, a transmission unit 56f, and a log recording unit 56g, and realizes or executes the functions and roles of information processing described below.

[0103] In addition, the internal structure of the control unit 56 is not limited to Figure 4 The structure shown in FIG. 5 may be any other structure as long as it is a structure capable of executing the information processing described below. In addition, the connection relationship between the various processing units of the control unit 56 is not limited to Figure 4 The connection relationship shown can also be other connection relationships.

[0104] The UI control unit 56a controls user input and output via the HMI unit 51. The setting unit 56b receives user operations related to setting the edge device 50 via the HMI unit 51 under the input and output control of the UI control unit 56a, and sets the setting content corresponding to the operation in the setting information 55a.

[0105] Furthermore, users can set, for example, the threshold used in detection processing on-site or remotely. Furthermore, after setting the threshold, users can configure an alert notification when the threshold is exceeded. Furthermore, users can record the date and time when the threshold is exceeded. By configuring the edge device 50's actions when the threshold is exceeded, applications similar to dashcams can be implemented using the edge device 50.

[0106] The acquisition unit 56c reads and acquires data flowing in the conductive wire W via the current sensor 52. The estimation unit 56d executes the estimation process of step S2 described above.

[0107] Specifically, the estimating unit 56d converts the data acquired by the acquiring unit 56c into a physical quantity. For example, when the field device 2 is a pressure transmitter 2a, if the acquired data is a current value of 4-20 mA (or a voltage value of 1-5 V), the estimating unit 56d converts it into a pressure value of 200-500 kPa.

[0108] The estimating unit 56d estimates the raw data based on the converted pressure value. At this time, the estimating unit 56d estimates the raw data by performing differentiation processing, difference processing, partial differentiation processing, and the like as described above.

[0109] The detection unit 56e performs the detection process of step S3. The detection unit 56e analyzes the raw data estimated by the estimation unit 56d using the detection model 55b. The detection unit 56e also determines whether a physical phenomenon has occurred based on the analysis result.

[0110] When the detector 56e determines that a physical phenomenon has occurred, the transmitter 56f transmits the detection result of the physical phenomenon to the host device via the communication unit 53. The log recorder 56g stores a log data group related to information processing of the edge device 50, including the detection result of the physical phenomenon, in the log record information 55c.

[0111] [Processing Flow Executed by the Edge Device 50]

[0112] Next, use Figure 5 The flow of processing executed by the edge device 50 will be described. Figure 5 This is a flowchart showing the flow of processing executed by the edge device 50 according to the embodiment.

[0113] In addition, Figure 5 The process flow is shown in FIG. 5 when the setting information 55a has been set and the edge device 50 has performed the detection process of either step S2 or step S3 based on the setting information 55a. Figures 6 to 9 Other situations in which processing is distributed between the edge device 50 and the external device are described in the description.

[0114] like Figure 5 As shown, first, the acquisition unit 56 c acquires smoothed data by reading data flowing through the wire W (step S11 ).

[0115] Next, the estimating unit 56d converts the acquired smoothed data into a physical quantity (step S12). As shown in the figure, when the field device 2 is a pressure transmitter 2a, the estimating unit 56d converts, for example, a current value of 4-20 mA into a pressure value of 200-500 kPa.

[0116] Then, the estimating unit 56d estimates the original data based on the converted smoothed data (step S13).

[0117] Next, the detection unit 56e analyzes the raw data estimated by the estimation unit 56d using the detection model 55b (step S14). Then, as a result of the analysis, the detection unit 56e determines whether a physical phenomenon has been detected (step S15).

[0118] Here, if a physical phenomenon is detected (Yes in step S15), the transmitting unit 56f transmits the detection result of the physical phenomenon to the external device (step S16). If no physical phenomenon is detected (No in step S15), the process proceeds to step S17.

[0119] Then, the log recording unit 56g performs log recording to store the log data group related to the executed information processing in the log recording information 55c (step S17). Figure 5 This process flow is repeatedly executed while the process control system 500 is operating.

[0120] Furthermore, during steps S13 and S14, the detection unit 56e may perform preprocessing by performing an FFT (Fast Fourier Transform) to remove low-frequency components that are not necessary for detecting physical phenomena such as low-period process motion using a high-pass filter or the like. In this case, the detection unit 56e performs an inverse FFT on the data from which the unnecessary low-frequency components have been removed, and then performs the computational processing related to the analysis in step S14.

[0121] [Example of Process Allocation Pattern]

[0122] Next, use Figures 6 to 9 A description will be given of a pattern example of processing allocation between the edge device 50 and the external apparatus. Figure 6 This is a diagram (part 1) showing a pattern example of processing allocation among devices. Figure 7 This is a diagram (part 2) showing a pattern example of processing allocation among devices. Figure 8 This is a diagram (part 3) showing a pattern example of processing allocation among devices. Figure 9 This is a diagram (part 4) showing a pattern example of processing allocation among devices.

[0123] In addition, Figures 6 to 9 In, according to Figure 3 The bus-type network / topology shown shows the relationship between devices in a hierarchical manner according to levels #1 to #5.

[0124] In addition, Figure 6 For example, the edge device 50 at level #1 performs Figure 5 In this example, each edge device 50 of level #1 obtains smoothed data from each field instrument 2, estimates the raw data, detects a physical phenomenon, and transmits it to an external device when a physical phenomenon is detected (step S101).

[0125] In this case, for example, at least one of the edge device 50 of the field panel 3 of level #2, the data logger 20 of level #3, and the integrated server device 100 of level #5 receives notification of physical phenomenon detection (step S102).

[0126] When the edge device 50 of the field panel 3 of level #2 receives the notification, it logs and saves it (step S103). In this case, the edge device 50 of level #2 can be said to function as a data recorder for each edge device 50 of level #1 that it has gathered.

[0127] When the data recorder 20 at level #3 receives the notification, it logs and saves it (step S104). In this case, the data recorder 20 at level #3 functions as a data recorder for all edge devices 50 installed in the process control system 500.

[0128] Furthermore, upon receiving this notification, the integrated server device 100 at level #5 notifies the user of the detection of a physical phenomenon, for example, as an alarm message, and accepts an instruction from the operator corresponding to the generated physical phenomenon. Furthermore, upon accepting the instruction, the integrated server device 100 issues an instruction corresponding to the operation to the advanced control device 30 at level #4 (step S105).

[0129] The high-level control device 30 of level #4 determines the operating conditions according to the instruction and issues an instruction to the DCS 10 of level #3 (step S106). The DCS 10 of level #3 then controls the field devices 2 of level #1 according to the instruction (step S107).

[0130] Then, in Figure 7 The example in which a level #2 edge device 50 estimates raw data and detects physical phenomena is given. In this example, each level #1 edge device 50 acquires smoothed data from each field instrument 2 and transmits the acquired smoothed data to an external device (step S201). The external device here is a level #2 edge device 50.

[0131] Then, the edge device 50 at level #2 collects smoothed data from each edge device 50 at level #1, estimates the raw data, detects physical phenomena, and transmits the data to an external device (step S202 ).

[0132] In this case, the edge device 50 at level #2 can detect the physical phenomenon based on the multiple raw data corresponding to each edge device 50 at level #1. In other words, in this case, the edge device 50 at level #2 can detect the physical phenomenon with good accuracy by comprehensively evaluating the raw data corresponding to each edge device 50 at level #1.

[0133] Furthermore, at least one of the data logger 20 at level #3 and the integrated server 100 at level #5 receives notification of physical phenomenon detection in step S202 (step S203). Furthermore, the edge device 50 at level #2 logs and stores the raw data from each edge device 50 at level #1 and the results of physical phenomenon detection based on the raw data (step S204).

[0134] Upon receiving the notification, the data logger 20 at level #3 records and saves the notification in a log (step S205 ).

[0135] Furthermore, upon receiving this notification, the integrated server device 100 at level #5 notifies the user of the detection of a physical phenomenon, for example, as an alarm message, and accepts an instruction from the operator corresponding to the generated physical phenomenon. Furthermore, upon accepting the instruction, the integrated server device 100 issues an instruction corresponding to the operation to the advanced control device 30 at level #4 (step S206).

[0136] The high-level control device 30 of level #4 determines the operating conditions according to the instruction and issues an instruction to the DCS 10 of level #3 (step S207). The DCS 10 of level #3 then controls the field devices 2 of level #1 according to the instruction (step S208).

[0137] Then, in Figure 8 The example in which the integrated server device 100 and / or cloud server 200 at level #5 estimates raw data and detects physical phenomena is given. In this example, each edge device 50 at level #1 acquires smoothed data from each field device 2 and transmits the acquired smoothed data to an external device (step S301).

[0138] In this case, at least the integrated server device 100 and / or cloud server 200 at level #5 acquires smoothed data, estimates the raw data, and detects physical phenomena (step S302). Furthermore, in step S301, each edge device 50 at level #1 can transmit smoothed data to the edge device 50 at level #2 and the data logger 20 at level #3.

[0139] When the edge device 50 at level #2 receives the notification, it logs and saves it (step S303 ). When the data logger 20 at level #3 receives the notification, it logs and saves it (step S304 ).

[0140] Furthermore, if the integrated server device 100 at level #5 detects a physical phenomenon in step S302, the integrated server device 100 notifies the user of the detection of the physical phenomenon, for example, as an alarm message, and accepts an instruction from the operator corresponding to the generated physical phenomenon. Furthermore, if the cloud server 200 at level #5 detects a physical phenomenon in step S302, the integrated server device 100 receives this notification from the cloud server 200. Similarly, the integrated server device 100 accepts an instruction from the operator corresponding to the generated physical phenomenon.

[0141] Then, when the instruction operation is received, the integrated server device 100 issues an instruction corresponding to the operation to the high-level control device 30 of level #4 (step S305).

[0142] The high-level control device 30 of level #4 determines the operating conditions according to the instruction and issues an instruction to the DCS 10 of level #3 (step S306). The DCS 10 of level #3 controls the field devices 2 of level #1 according to the instruction (step S307).

[0143] Then, in Figure 9 Among them, Figure 6 The example shown is an example in which raw data estimation processing is not required in the edge device 50 of level #1. In this example, each edge device 50 of level #1 obtains raw data from each field instrument 2, detects a physical phenomenon based on the raw data, and transmits the detected physical phenomenon to an external device (step S401).

[0144] Regarding the following steps S402 to S407, Figure 6 Steps S102 to S107 are the same, so their description is omitted here.

[0145] [Construction of a mesh network]

[0146] In addition, the process control system 500 may form a mesh network between the edge device 50 and external devices, and share physical phenomena detected in the mesh network.

[0147] Next, use Figures 10 and 11 The configuration of the mesh network will be described. Figure 10 This is an explanatory diagram of the case where a mesh network is configured. Figure 11 This is an explanatory diagram for sharing detected physical phenomena.

[0148] like Figure 10 As shown, each edge device 50 including the field panel 3, the integrated server device 100, and the cloud server 200 can form a mesh network. In this case, for example, the terminal device 300 connected to the integrated server device 100 and used by the operator can also be included in the mesh network.

[0149] Furthermore, in this case, physical phenomena detected in each device can be shared in the mesh network.

[0150] like Figure 11As shown, for example, the edge device 50 - 1 detects a physical phenomenon based on pressure data on the input (IN) side of the pump 400 , and the edge device 50 - 2 detects a physical phenomenon based on position (or vibration) data of the pump 400 .

[0151] In this case, the true cause of the physical phenomenon occurring in the pump 400 , for example, can be determined based on a combination of the detection results of the edge devices 50 - 1 and 50 - 2 .

[0152] For example, Figure 11 As shown, when edge device 50 - 1 does not detect an abnormality (ie, occurrence of a physical phenomenon) but edge device 50 - 2 detects an abnormality, occurrence of “misalignment, etc.” can be determined by sharing the detection results.

[0153] In addition, for example, when edge device 50-2 does not detect an abnormality, but edge device 50-1 detects an abnormality, the occurrence of "cavitation" can be determined by sharing the above detection results. In addition, for example, when both edge devices 50-1 and 50-2 detect an abnormality, the occurrence of "misalignment, etc. + cavitation" can be determined by sharing the above detection results. That is, the "sharing" mentioned here is to be able to make a comprehensive judgment on the physical phenomena detected in each device. In this way, the physical phenomenon can be detected with higher accuracy. In addition, although the illustration is omitted, Figure 11 In the example of FIG, for example, another edge device 50 may be further provided to detect the physical phenomenon based on the pressure data on the output (OUT) side of the pump 400. Of course, by further considering the detection results of the other edge device 50 to make a judgment, the true cause of the physical phenomenon can be determined in more detail.

[0154] [Modification of the Installation Method of the Edge Device 50]

[0155] Next, use Figure 12 and Figure 13 A modification of the installation method of the edge device 50 will be described. Figure 12 It is an explanatory diagram of an edge device 50A according to a first modification. Figure 13 It is an explanatory diagram of an edge device 50B according to a second modification.

[0156] The edge device 50 according to the embodiment includes a current sensor 52 implemented as a clampless sensor, and reads data flowing through the wire W toward the DCS 10. The edge device 50 also includes a battery B, which ensures power supply.

[0157] In contrast, Figure 12As shown, the edge device 50A according to the first modification can be directly connected to the wire W. In this case, the edge device 50A directly reads the output value of the pressure transmitter 2a from the wire W, for example, eliminating the need for the current sensor 52. Furthermore, the edge device 50A can secure a power supply via the wire W, eliminating the need for the battery B.

[0158] In the workshop 1, the length of the metering cable may sometimes reach several kilometers. Therefore, in order to read data at high speed, it is also preferable to directly connect the edge device 50A to the wire W. In addition, if the edge device 50A is directly connected to the wire W, a program that executes the above-mentioned estimation and detection processes can also be installed as firmware in the pressure transmitter 2a.

[0159] In addition, if Figure 13 As shown, the edge device 50B according to the second modification can be installed by being plugged into, for example, a socket SC located near a terminal block on the back side of the pressure transmitter 2a. In this case, the socket SC is connected to a wire W for the DCS 10, and the edge device 50B, like the edge device 50A, directly reads the output value of the pressure transmitter 2a from the wire W.

[0160] Therefore, there is no need for the current sensor 52. In addition, the edge device 50B can secure a power supply via the wire W, and therefore, similar to the edge device 50A, no battery B is required.

[0161] [Regarding Recycling / Replacement of Edge Devices 50 and 50B]

[0162] Furthermore, the edge device 50 can be appropriately recycled / replaced by taking advantage of its compact size and ease of assembly and disassembly. Figure 14 This is an explanatory diagram regarding the collection / replacement of the edge devices 50 and 50B.

[0163] like Figure 14 As shown, during routine maintenance (such as on-site patrols) of workshop 1, edge devices 50, 50B can be replaced, for example, from an old edge device 50-O to a new edge device 50-N, which functions as at least a data recorder. By analyzing the collected data and reflecting the information in the daily report, production and maintenance of workshop 1 can be facilitated.

[0164] Furthermore, for each edge device 50, 50B other than the field panel 3, it is also possible to recycle old edge devices 50-O and replace them with new edge devices 50-N as appropriate. For example, in a remote plant 1 (e.g., a desert) where the network cannot be accessed from outside the plant 1, the edge devices 50, 50B can be replaced during each on-site maintenance cycle.

[0165] At this time, the types of data acquired before and after the replacement can be arbitrarily changed (for example, obtaining pressure in the first cycle and temperature in the second cycle). In addition, the physical phenomenon to be detected can be arbitrarily changed before and after the replacement.

[0166] [Effect]

[0167] As described above, the edge device 50 according to the embodiment is a portable information processing device that can be installed on a field device 2 in a plant 1. It includes an acquisition unit 56c that acquires smoothed or unsmoothed output data from the field device 2; an estimation unit 56d that estimates the unsmoothed output data if the output data is smoothed; a detection unit 56e that analyzes the unsmoothed output data to detect a physical phenomenon occurring in the field device 2; and a transmission unit 56f that transmits the detection result of the physical phenomenon to an external device. Therefore, the edge device 50 according to the embodiment can be installed on the field device 2 after installation, and can detect instantaneous physical phenomena without requiring design changes to the existing process control system 500. In other words, the edge device 50 according to the embodiment can easily detect physical phenomena occurring in the plant 1 while minimizing the impact on existing process control.

[0168] Furthermore, the edge device 50 can be detachably mounted on the field device 2. Therefore, the edge device 50 according to the embodiment can be easily mounted or removed from the field device 2. Furthermore, it can be easily recovered or replaced, which can improve the maintainability of the workshop 1.

[0169] The edge device 50 also includes a current sensor 52 (an example of a "non-contact sensor"), which is a clampless sensor. The acquisition unit 56c indirectly acquires output data from the wire W of the field device 2 via the current sensor 52. Therefore, the edge device 50 according to this embodiment can easily acquire output data from the field device 2 without changing the connection of the wire W of the field device 2.

[0170] Furthermore, the edge device 50 is equipped with a battery B and operates using the battery B as a power source. Therefore, the edge device 50 according to the embodiment operates by its own power source, thereby enabling detection of physical phenomena occurring in the plant 1 without affecting the power system of the plant 1.

[0171] Furthermore, the edge device 50 is connected to the wire W of the field device 2 , and the acquisition unit 56 c directly acquires output data from the wire W. Therefore, the edge device 50 according to the embodiment can acquire output data of the field device 2 with high quality.

[0172] The edge device 50 also operates using the field device 2 as a power source via the wire W. Therefore, the edge device 50 according to the embodiment does not become inoperable due to insufficient battery power, and can detect physical phenomena occurring in the plant 1 while continuously operating with the field device 2.

[0173] Furthermore, the edge device 50 is installed in at least one of the pressure transmitter 2a, temperature transmitter 2b, flow meter 2c, control valve 2d, and scientific instrument 2e in the field instrument 2. Therefore, the edge device 50 according to this embodiment can detect physical phenomena occurring in at least the pressure transmitter 2a, temperature transmitter 2b, flow meter 2c, control valve 2d, and scientific instrument 2e.

[0174] Furthermore, when the output data is smoothed, the estimation unit 56d estimates the unsmoothed output data by converting the output data into a physical quantity corresponding to the field device 2 and then performing at least one of differentiation, difference, and partial differentiation on the converted data. Therefore, the edge device 50 according to this embodiment can estimate the raw data of the field device 2 using at least one of differentiation, difference, and partial differentiation.

[0175] Furthermore, the detection unit 56e performs an inverse fast Fourier transform on the output data after performing a fast Fourier transform to remove low-frequency components. Therefore, the edge device 50 according to the embodiment can detect physical phenomena with high accuracy by analyzing data from which components unnecessary for detecting the physical phenomenon have been pre-removed.

[0176] Furthermore, the detection unit 56e detects at least one of cavitation, water hammer, and slag flow as a physical phenomenon occurring in the pipe connected to the field device 2. Therefore, the edge device 50 according to the embodiment can detect at least one of cavitation, water hammer, and slag flow as a physical phenomenon.

[0177] The edge device 50 also includes a logging unit 56g that stores log data of information processing performed by the acquisition unit 56c, the estimation unit 56d, and the detection unit 56e as logging information 55c. Therefore, the edge device 50 according to this embodiment can implement a functional application similar to a drive recorder.

[0178] The edge device 50 is also mounted on the field panel 3, which aggregates the field instruments 2. Therefore, according to the embodiment, the edge device 50, by being mounted on the field panel 3, can be easily installed with a secure power supply. Furthermore, by being mounted on the field panel 3, the edge device 50 can function as a data logger for all the field instruments 2 aggregated by the field panel 3.

[0179] The external device is at least one of the data logger 20, the integrated server 100, and / or the cloud server 200 (an example of a "server device") included in the process control system 500 of the plant 1, and the edge device 50 installed on the field panel 3. Therefore, according to the edge device 50 of this embodiment, by notifying the external device of the occurrence of a physical phenomenon, log data can be stored, or control corresponding to the physical phenomenon can be performed based on the existing instruction system of the process control system 500.

[0180] Furthermore, the information processing method according to the embodiment performs the following processing: a mobile edge device 50 (equivalent to an example of a "computer"), which is installed in a manner that can be mounted on a field instrument 2 in a plant 1, obtains smoothed or unsmoothed output data from the field instrument 2, estimates the unsmoothed output data if the output data is smoothed, and analyzes the unsmoothed output data to detect a physical phenomenon occurring in the field instrument 2, and transmits the detection result of the physical phenomenon to an external device. Therefore, according to the information processing method according to the embodiment, using the edge device 50 that can be installed after the field instrument 2, it is possible to detect transient physical phenomena without making design changes to the existing process control system 500. In other words, according to the information processing method according to the embodiment, it is possible to easily detect physical phenomena occurring in the plant 1 while suppressing the impact on the existing process control.

[0181] Furthermore, the information processing program according to the embodiment causes a mobile edge device 50, which is installed in a manner that can be mounted on a field device 2 in a plant 1, to execute the following processing: acquiring smoothed or unsmoothed output data output from the field device 2; estimating the unsmoothed output data if the output data is smoothed; analyzing the unsmoothed output data; thereby detecting a physical phenomenon occurring in the field device 2; and transmitting the detection result of the physical phenomenon to an external device. Specifically, the edge device 50, which is a mobile computer that can be mounted behind the field device 2, executes an acquisition process to acquire smoothed or unsmoothed output data output from the field device 2; an estimation process to estimate the unsmoothed output data if the output data is smoothed; a detection process to detect the physical phenomenon occurring in the field device 2 by analyzing the unsmoothed output data; and a transmission process to transmit the detection result of the physical phenomenon to an external device. Therefore, the information processing program according to the embodiment enables instantaneous physical phenomenon detection without requiring design changes to the existing process control system 500. That is, according to the information processing method according to the embodiment, it is possible to easily detect a physical phenomenon occurring in the plant 1 while suppressing the influence on the existing process control.

[0182] [Other embodiments]

[0183] As described above, the embodiment of the present invention has been described so far. However, the present invention can be implemented in various different forms other than the above embodiment.

[0184] [system]

[0185] Information including the processing flow, control flow, specific names, various data, and parameters described above and shown in the drawings can be arbitrarily changed unless otherwise specified.

[0186] Furthermore, the components of the devices shown in the diagrams are functional concepts and are not necessarily physically configured as shown. Specifically, the specific methods of distributing and integrating the devices are not limited to those shown. Specifically, all or part of the devices may be functionally or physically distributed / integrated in arbitrary units, depending on various loads, usage conditions, and the like.

[0187] Furthermore, all or any part of each processing function performed by each device may be realized by a CPU and a program analyzed and executed by the CPU, or may be realized as hardware based on wired logic.

[0188] [hardware]

[0189] The edge devices 50, 50A, and 50B according to the above-mentioned embodiment are, for example, Figure 15 The structure shown is implemented by the computer 1000. Below, the edge device 50 is taken as an example for explanation. Figure 15 1 is a diagram showing a hardware configuration of an example of a computer 1000 that realizes the functions of the edge device 50 according to the embodiment.

[0190] like Figure 15 As shown, the computer 1000 includes a communication device 1000a, a secondary storage device 1000b, a memory 1000c, and a processor 1000d. Figure 15 The components shown are connected to each other via a bus or the like.

[0191] The communication device 1000a is a NIC etc. and performs communication with other devices. The auxiliary storage device 1000b is implemented by a flash memory etc. Figure 4 The functions shown are executed in programs and databases.

[0192] Processor 1000d will execute Figure 4 The program for the same processing as that of each processing unit is read from the auxiliary storage device 1000b and expanded in the memory 1000c, thereby executing Figure 4The threads for each function described in [ 1000d ] execute actions. For example, this thread performs the same functions as the various processing units included in the edge device 50. Specifically, the processor 1000d reads a program having the same functions as the UI control unit 56a, the setting unit 56b, the acquisition unit 56c, the estimation unit 56d, the detection unit 56e, the transmission unit 56f, and the logging unit 56g from the auxiliary storage device 1000b, etc. Furthermore, the processor 1000d executes a thread that performs the same processing as the UI control unit 56a, the setting unit 56b, the acquisition unit 56c, the estimation unit 56d, the detection unit 56e, the transmission unit 56f, and the logging unit 56g, etc.

[0193] In this manner, the computer 1000 operates as an information processing device that reads and executes programs to perform various processing methods. Furthermore, the computer 1000 can also read the programs from a recording medium using a media reader and execute the read programs, thereby achieving the same functions as the above-described embodiments. Furthermore, the programs described herein are not limited to being executed solely by the computer 1000. For example, the present invention can also be applied to computers or servers having other hardware configurations executing the programs, or to computers or servers that collaborate to execute the programs.

[0194] The program can be distributed via a network such as the Internet. In addition, the program can be recorded on a computer-readable recording medium such as a hard disk, a floppy disk (FD), a CD-ROM, an MO (Magneto-Optical disk), or a DVD (Digital Versatile Disc), and executed by the computer after reading from the recording medium. A recording medium having the relevant program recorded thereon is also one embodiment of the present invention.

[0195] [other]

[0196] Several examples of combinations of disclosed technical features are described below.

[0197] (1) An information processing device is a portable information processing device that is installed as a field device in a workshop, wherein:

[0198] The information processing device comprises:

[0199] an acquisition unit that acquires smoothed or unsmoothed output data output from the field device;

[0200] an estimating unit configured to estimate the unsmoothed output data when the output data is smoothed;

[0201] a detection unit that detects a physical phenomenon occurring in the field instrument by analyzing the unsmoothed output data; and

[0202] A transmitting unit transmits the detection result of the physical phenomenon to an external device.

[0203] (2) The information processing device according to (1), wherein:

[0204] The information processing device is detachably mounted on the field instrument.

[0205] (3) The information processing device according to (2), wherein:

[0206] The information processing device has a non-contact sensor.

[0207] The acquisition unit indirectly acquires the output data from a wire of the field device via the non-contact sensor.

[0208] (4) The information processing device according to (3), wherein:

[0209] The information processing device is equipped with a battery and operates using the battery as a power source.

[0210] (5) The information processing device according to (1) or (2), wherein:

[0211] The information processing device is connected to the field instrument via a wire.

[0212] The acquisition unit directly acquires the output data from the wire.

[0213] (6) The information processing device according to (5), wherein:

[0214] The information processing device operates using the field device as a power source via the wire.

[0215] (7) The information processing device according to any one of (1) to (6), wherein:

[0216] The information processing device is installed in at least any one of a pressure transmitter, a temperature transmitter, a flow meter, a control valve, and a scientific instrument in the field instrument.

[0217] (8) The information processing device according to any one of (1) to (7), wherein:

[0218] When the output data is smoothed, the estimating unit converts the output data into a physical quantity corresponding to the field device, and thereafter estimates the unsmoothed output data by at least one of differential processing, difference processing, and partial differential processing.

[0219] (9) The information processing device according to (8), wherein:

[0220] The detection unit performs a fast Fourier transform to remove low-frequency components and then analyzes the output data that has been subjected to an inverse fast Fourier transform.

[0221] (10) The information processing device according to any one of (1) to (9), wherein:

[0222] The detection unit detects at least one of cavitation, water hammer, and slag flow generated in the pipe connected to the field device as the physical phenomenon.

[0223] (11) The information processing device according to any one of (1) to (10), wherein:

[0224] The information processing device includes a log recording unit that stores log data of information processing performed by the acquisition unit, the estimation unit, and the detection unit as log recording information.

[0225] (12) The information processing device according to any one of (1) to (11), wherein:

[0226] The information processing device is also installed on a field panel that integrates the wiring of the field instruments.

[0227] (13) The information processing device according to (12), wherein:

[0228] The external device is at least any one of a data recorder and a server device included in the process control system of the plant, and the information processing device mounted on the field panel.

[0229] (14) An information processing method, wherein:

[0230] The information processing method causes a portable computer provided as a field device that can be installed in a workshop to execute the following processing:

[0231] acquiring smoothed or unsmoothed output data output from the field instrument,

[0232] In the case where the output data is smoothed, estimating the unsmoothed output data,

[0233] By analyzing the unsmoothed output data, the physical phenomena generated in the field instrument are detected.

[0234] The detection result of the physical phenomenon is sent to an external device.

[0235] (15) An information processing program, wherein:

[0236] The information processing program causes a portable computer provided as a field device that can be installed in a workshop to execute the following processing:

[0237] acquiring smoothed or unsmoothed output data output from the field instrument,

[0238] In the case where the output data is smoothed, estimating the unsmoothed output data,

[0239] By analyzing the unsmoothed output data, the physical phenomena generated in the field instrument are detected.

[0240] The detection result of the physical phenomenon is sent to an external device.

[0241] (16) A computer-readable recording medium having an information processing program recorded thereon, wherein:

[0242] The information processing program causes a portable computer provided as a field device that can be installed in a workshop to execute the following processing:

[0243] acquiring smoothed or unsmoothed output data output from the field instrument,

[0244] In the case where the output data is smoothed, estimating the unsmoothed output data,

[0245] By analyzing the unsmoothed output data, the physical phenomena generated in the field instrument are detected.

[0246] The detection result of the physical phenomenon is sent to an external device.

[0247] Description of the label

[0248] 1 Workshop

[0249] 2 Field instruments

[0250] 2a Pressure transmitter

[0251] 2b Temperature transmitter

[0252] 2c flow meter

[0253] 2d control valve

[0254] 2e Scientific Instruments

[0255] 3 Field Panel

[0256] 10 DCS

[0257] 11 Operation control device

[0258] 12 Surveillance Devices

[0259] 20 Data Logger

[0260] 30 Advanced Controls

[0261] 40 Protocol Server

[0262] 50, 50A, 50B edge devices

[0263] 51 HMI Department

[0264] 52 Current Sensor

[0265] 53 Ministry of Communications

[0266] 54 Power Supply Department

[0267] 55 Storage

[0268] 55a Setting information

[0269] 55b Detection Model

[0270] 55c Logging information

[0271] 56 Control Department

[0272] 56a UI control unit

[0273] 56b Setting unit

[0274] 56c Acquisition Department

[0275] 56d Presumption Department

[0276] 56e Detection Department

[0277] 56f Sending Department

[0278] 56g Logging Department

[0279] 100 integrated server devices

[0280] 200 cloud servers

[0281] 500 Process Control Systems

[0282] B Battery

Claims

1. An information processing device, which is a portable information processing device installed as a field instrument in a workshop, wherein: The information processing device comprises: an acquisition unit that acquires smoothed or unsmoothed output data output from the field device; an estimating unit configured to estimate the unsmoothed output data when the output data is smoothed; a detection unit configured to detect a physical phenomenon generated in the field instrument by analyzing the unsmoothed output data; as well as A transmitting unit transmits the detection result of the physical phenomenon to an external device.

2. The information processing device according to claim 1, wherein The information processing device is detachably mounted on the field instrument.

3. The information processing device according to claim 2, wherein: The information processing device has a non-contact sensor. The acquisition unit indirectly acquires the output data from a wire of the field device via the non-contact sensor.

4. The information processing device according to claim 3, wherein: The information processing device is equipped with a battery and operates using the battery as a power source.

5. The information processing device according to claim 1 or 2, wherein: The information processing device is connected to the field instrument via a wire. The acquisition unit directly acquires the output data from the wire. The information processing apparatus according to claim 5 , wherein: The information processing device operates using the field device as a power source via the wire.

7. The information processing apparatus according to claim 1, wherein: The information processing device is installed in at least any one of a pressure transmitter, a temperature transmitter, a flow meter, a control valve, and a scientific instrument in the field instrument.

8. The information processing apparatus according to claim 1, wherein: When the output data is smoothed, the estimating unit converts the output data into a physical quantity corresponding to the field device, and thereafter estimates the unsmoothed output data by at least one of differential processing, difference processing, and partial differential processing.

9. The information processing apparatus according to claim 8, wherein: The detection unit performs a fast Fourier transform to remove low-frequency components and then analyzes the output data that has been subjected to an inverse fast Fourier transform.

10. The information processing apparatus according to claim 1, wherein: The detection unit detects, as the physical phenomenon, at least one of cavitation, water hammer, and slag flow generated in a pipe connected to the field device.

11. The information processing apparatus according to claim 1, wherein: The information processing device includes a log recording unit that stores log data of information processing performed by the acquisition unit, the estimation unit, and the detection unit as log recording information.

12. The information processing apparatus according to claim 1, wherein: The information processing device is also installed on a field panel that integrates the wiring of the field instruments.

13. The information processing apparatus according to claim 12, wherein: The external device is at least any one of a data recorder and a server device included in the process control system of the plant, and the information processing device mounted on the field panel.

14. An information processing method, wherein: The information processing method causes a portable computer provided as a field device that can be installed in a workshop to execute the following processing: acquiring smoothed or unsmoothed output data output from the field instrument, In the case where the output data is smoothed, estimating the unsmoothed output data, By analyzing the unsmoothed output data, the physical phenomena generated in the field instrument are detected. The detection result of the physical phenomenon is sent to an external device.

15. An information processing program, wherein: The information processing program causes a portable computer provided as a field device that can be installed in a workshop to execute the following processing: acquiring smoothed or unsmoothed output data output from the field instrument, In the case where the output data is smoothed, estimating the unsmoothed output data, By analyzing the unsmoothed output data, the physical phenomena generated in the field instrument are detected. The detection result of the physical phenomenon is sent to an external device.

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