JP4585586B2 - Plant data conversion apparatus and plant data conversion method - Google Patents

Description

  The present invention relates to a plant data conversion apparatus and a plant data conversion method for converting and recording plant data in a large plant or the like.

In various plants such as ironworks, chemical factories, and nuclear power plants, plant data output from the equipment is collected and stored in order to monitor the state of the equipment across multiple systems (for example, patents) Reference 1). This plant data is used not only for operation support and control but also for various purposes such as process analysis when a failure occurs.
JP 11-149313 A JP 2000-217097 A

  However, in the above technique, a large amount of plant data (real-time data) used in a control system such as a large plant is stored in a storage device via a dedicated application. That is, since each application has various storage formats, there is a problem that an application corresponding to the format is required when using stored data.

  In order to cope with such a problem, a method of transmitting control data and video data after converting them into a common data format (for example, see Patent Document 2) is known. By using this method, control data acquired in real time can be transmitted and stored in a common data format. However, efficient storage and reuse (restoration) of control data is not considered.

  Therefore, in view of the above-mentioned problems of the prior art, the present invention converts plant data acquired in real time into image data of a common format and records it in a video recording device, and reproduces it to plant data by reproducing it. An object of the present invention is to provide a plant data conversion apparatus and a plant data conversion method that can be restored.

  A plant data conversion apparatus according to the present invention includes a plant data acquisition unit that acquires plant data output from plant equipment at a predetermined cycle, and the acquired plant data is converted into a plurality of bit strings based on a predetermined rule. An image conversion unit that divides and converts the bit string into color image data that is color information for each pixel, a color image data recording unit that records the converted color image data on a recording device, and the recorded color image A color image data reading unit that reads data, and a plant data restoration unit that restores the read color image data to the plant data.

  The plant data conversion method according to the present invention includes a plant data acquisition step of acquiring plant data output from plant equipment at a predetermined cycle, and the acquired plant data is converted into a plurality of bit strings based on a predetermined rule. An image conversion step of dividing and converting the bit string into color image data that is color information for each pixel, a color image data recording step of recording the converted color image data on a recording device, and the recorded color image Color image data reading step for reading data, and plant data restoring step for restoring the read color image data to the plant data.

  According to the present invention, plant data conversion apparatus capable of converting plant data acquired in real time into image data of a common format and recording it in a video recording apparatus, and restoring the plant data by reproducing the data. A plant data conversion method is also provided.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram illustrating an overall configuration example of a plant data conversion apparatus 1 according to an embodiment of the present invention. The plant data conversion device 1 is a computer connected to the plant system 2 and the video recording device 3 via a network (not shown). The plant system 2 is a plant composed of various equipment. The video recording device 3 is various recording devices such as a DVD device and an HDD recorder.

  The plant data conversion apparatus 1 includes a control unit 11, a plant data acquisition unit 12, an image conversion unit 13, a color image data recording unit 14, a color image data reading unit 15, a plant data restoration unit 16, and an interface unit 17. ing.

  The control unit 11 is a central processing unit that controls the operation of each unit of the plant data conversion apparatus 1. The plant data acquisition unit 12 is a program that acquires plant data from the equipment of the plant system 2 connected to the network. Here, plant data is various data that is acquired by a sensor (not shown) of equipment and is required for plant control, and includes speed, motor speed, current value, voltage value, temperature, and the like. Can be mentioned.

  The image conversion unit 13 divides the plant data acquired by the plant data acquisition unit 12 into a plurality of bit strings based on a predetermined rule, and sets each bit string as pixel color information (hereinafter, “color image data”). It is a program to convert to. Details of the image conversion method of plant data will be described later.

  The color image data recording unit 14 is a program that outputs an image signal of the color image data converted by the image conversion unit 13 to the video recording device 3 connected to the network, and performs a recording process on a recording medium. For example, in a computer system for a steel plant that requires real-time performance, if data collection of about 10 KB is performed at a cycle of 50 msec, 20 color image data are generated per second, and a recording medium ( Recorded on a magnetic disk or optical disk).

  The color image data reading unit 15 is a program for reading color image data recorded from a recording medium in the video recording apparatus 3.

  The plant data restoration unit 16 is a program for restoring the color image data read by the color image data reading unit 15 to plant data. The process flow is almost the same as the conversion process of the image conversion unit 13, but the data writing and reading areas are reversed. Details of the restoration method of plant data will be described later.

  The interface unit 17 obtains information (for example, designated date and time, resolution at the time of recording, equipment name, reproduction instruction information, etc.) input by the user through an input device (not shown) such as a keyboard or a mouse, and a liquid crystal display Is a program that outputs various types of information (for example, restored plant data) to a display device (not shown) or a desired data processing device (not shown).

  Hereinafter, operation | movement of the plant data converter 1 which concerns on this embodiment is demonstrated in detail based on drawing.

  FIG. 2 is a diagram for specifically explaining the image conversion process and the data restoration process in the plant data conversion apparatus 1.

First, the processing on the left side of FIG. 2 will be described. Here, it is shown that the image conversion unit 13 divides plant data into 8-bit units and arranges them as RGB values in each pixel of the image data. RGB brightness encoded at 24 bpp (24 bits per pixel) can be represented by three 8-bit unsigned integers (0 to 255) indicating red, green and blue intensities, so the 24-bit plant data is 256 ³ ( Converted to one of about 16 million colors. Then, by arranging all the bit strings of the plant data at a certain time as the color information of the constituent pixels of one screen, one conversion process is completed.

  In the above case, since 3 bytes of data are stored per pixel, when the resolution (horizontal × vertical) is 1280 × 1024, about 3.75 MB of data can be imaged. Then, by repeating this processing at a predetermined cycle, plant data updated in real time is sequentially output as color image data having color information, and recorded in the video recording apparatus 3 in a state of being associated with time series. .

  Next, the processing on the right side of FIG. 2 will be described. Here, the color image data (video) recorded in the video recording device 3 is reproduced and input to the plant data restoration unit 16 to extract the RGB value of each pixel of the color image data and re-create it as plant data. Has been shown to build. By repeating this process at regular intervals, plant data is reproduced.

  FIG. 3 is a flowchart showing a specific example of the image conversion process in the plant data conversion apparatus 1, and corresponds to the process on the left side of FIG.

  In S301, the plant data acquisition unit 12 acquires plant data output from the equipment of the plant system 2 connected to the network at a predetermined cycle.

  In S302, the image conversion unit 13 acquires plant data from the plant data acquisition unit 12, and divides the data into a plurality of bit strings based on a predetermined rule, and converts each bit string into color image data using color information of each pixel. To do.

  In step S303, the color image data recording unit 14 outputs the image signal of the color image data to the video recording device 3 connected to the network, records the image signal on the internal recording medium, and ends the process.

  FIG. 4 is a flowchart showing a specific example of the data restoration process in the plant data conversion apparatus 1, and corresponds to the process on the right side of FIG.

  In step S <b> 401, the color image data reading unit 15 determines the presence / absence of input of reproduction instruction information from the user based on information acquired via the interface unit 17. If it is determined that there is reproduction instruction information, the process proceeds to S402. On the other hand, if it is determined that there is no reproduction instruction information, the standby state is maintained until it is input.

  In step S402, the color image data reading unit 15 instructs the video recording device 3 to play back the recorded image using the specified date and time included in the playback instruction information as a key, and outputs the image signal transmitted from the video recording device 3 as a color image. Read while converting to data.

  In S403, the plant data restoration unit 16 restores plant data from the read color image data.

  In S404, the plant data restoration unit 16 outputs the restored plant data to a predetermined output destination, and ends the process. As a specific example of the output destination, there is a failure cause analysis device (not shown).

  FIG. 5 is a flowchart illustrating a specific example of processing in the image conversion unit 13.

  In S <b> 501, plant data is acquired from the plant data acquisition unit 12.

In step S502, a variable ROW _max indicating the maximum number of rows of pixels and a variable COL _max indicating the _maximum number of columns are initialized, and the start address of the memory area that stores the plant data is set. Here, it is assumed that the maximum number of rows (ROW _max ) and the maximum number of columns (COL _max ) are set to values according to the resolution designated in advance. For example, when the resolution (horizontal × vertical) is 1280 × 1024, 1024 is set for the maximum number of rows (ROW _max ) and 1280 is set for the maximum number of columns (COL _max ).

  In step S503, the variable ROW representing the number of rows of pixels is set to 1, the variable COL representing the number of columns is set to 1, and the variable Color representing the color classification of RGB (red, green and blue) is set to 0 for initialization. In the color classification (Color), 0 represents red, 1 represents green, and 2 represents blue.

  In S504, the address of the bit string to be extracted from the plant data is calculated. Here, the designated address is calculated based on the following calculation formula.

[Specified Address] = [Start Address] + ((ROW-1) × 1280 + COL-1) × 3 + Color
In S505, the value of the color classification (Color) is determined. Here, if the value of the color classification (Color) is determined to be 0, S506 is determined, and if it is determined to be S507, the process proceeds to S508.

  In S506, the bit string (eight bits) of the designated address calculated in S504 is set in the memory area as the red brightness information of the pixel designated by the matrix (ROW, COL).

  In S507, similarly to S506, the bit string of the designated address is set in the memory area as the green brightness information of the pixel designated by the matrix (ROW, COL).

  In S508, as in S506, the bit string of the designated address is set in the memory area as the blue brightness information of the pixel designated by the matrix (ROW, COL).

  In S509, 1 is added to the color classification (Color).

  In S510, it is determined whether the color classification (Color) is 2 or less. If it is determined that the color classification (Color) is 2 or less, the process returns to S504. On the other hand, if it is determined that the color classification (Color) exceeds 2, the process proceeds to S511.

  In S511, 0 is assigned to the color classification (Color) for initialization, and the number of columns (COL) is incremented by one.

In S512, it is determined whether or not the number of columns (COL) is equal to or less than the maximum number of columns (COL _max ). If it is determined that the number of columns (COL) is equal to or less than the maximum number of columns (COL _max ), the process returns to S504. On the other hand, if it is determined that the number of columns (COL) exceeds the maximum number of columns (COL _max ), the process proceeds to S513.

  In S513, 1 is substituted into the number of columns (COL) for initialization, and 1 is added to the number of rows (ROW).

In S514, it is determined whether or not the number of rows (ROW) is equal to or less than the maximum number of rows (ROW _max ). If it is determined that the number of rows (ROW) is equal to or less than the maximum number of rows (ROW _max ), the process returns to S504. On the other hand, if it is determined that the number of rows (ROW) exceeds the maximum number of rows (ROW _max ), the process is terminated.

  FIG. 6 is a flowchart showing a specific example of processing in the plant data restoration unit 16 and corresponds to the processing on the right side of FIG.

  In S601, the color image data read by the color image data reading unit 15 is acquired.

In step S602, a variable ROW _max indicating the maximum number of rows of pixels and a variable COL _max indicating the _maximum number of columns are initialized, and the start address of the memory area that stores the plant data is set. Here, it is assumed that the maximum number of rows (ROW _max ) and the maximum number of columns (COL _max ) are set to values according to the resolution designated in advance. For example, when the resolution (horizontal × vertical) is 1280 × 1024, 1024 is set for the maximum number of rows (ROW _max ) and 1280 is set for the maximum number of columns (COL _max ).

  In step S603, the variable ROW representing the number of rows of pixels is set to 1, the variable COL representing the number of columns is set to 1, and the variable Color representing the color classification of RGB (red green blue) is set to 0 for initialization. In the color classification (Color), 0 represents red, 1 represents green, and 2 represents blue.

  In S604, the address of the memory area that is the storage destination of the restored plant data is calculated. Here, the designated address is calculated based on the following calculation formula.

[Specified Address] = [Start Address] + ((ROW-1) × 1280 + COL-1) × 3 + Color
In S605, the value of the color classification (Color) is determined. Here, if the value of the color classification (Color) is determined to be 0, S606 is determined to be 1, and if it is determined to be S607, the process proceeds to S608.

  In S606, the color image data is analyzed, and the bit string (8 bits) related to the red brightness information of the pixel designated by the matrix (ROW, COL) is set to the designated address calculated in S604.

  In S607, as in S606, a bit string (8 bits) related to the green brightness information of the pixel specified by the matrix (ROW, COL) is set to the specified address.

  In S608, as in S606, a bit string (8 bits) relating to the blue brightness information of the pixel specified by the matrix (ROW, COL) is set to the specified address.

  In S609, 1 is added to the color classification (Color).

  In S610, it is determined whether or not the color classification (Color) is 2 or less. If it is determined that the color classification (Color) is 2 or less, the process returns to S604. On the other hand, if it is determined that the color classification (Color) exceeds 2, the process proceeds to S611.

  In step S611, initialization is performed by assigning 0 to the color classification (Color), and 1 is added to the number of columns (COL).

In S612, it is determined whether or not the number of columns (COL) is equal to or less than the maximum number of columns (COL _max ). If it is determined that the number of columns (COL) is equal to or less than the maximum number of columns (COL _max ), the process returns to S604. On the other hand, if it is determined that the number of columns (COL) exceeds the maximum number of columns (COL _max ), the process proceeds to S613.

  In S613, the column number (COL) is initialized by substituting 1 and the row number (ROW) is incremented by 1.

In S614, it is determined whether or not the number of rows (ROW) is equal to or less than the maximum number of rows (ROW _max ). If it is determined that the number of rows (ROW) is equal to or less than the maximum number of rows (ROW _max ), the process returns to S604. On the other hand, when it is determined that the number of rows (ROW) exceeds the maximum number of rows (ROW _max ), the process is terminated.

  By configuring the plant data conversion apparatus 1 as described above, the following effects can be obtained.

(1) Plant data can be saved in a common image format.

  For example, plant data can be stored in an image format supported by a commercially available video recording apparatus 3. Also, since various compression techniques have been devised and implemented for storing image data, the amount of data at the time of storage can be greatly reduced. Furthermore, the recording cycle in the commercially available video recording apparatus 3 is sufficiently faster than the control cycle used for plant control, and it is possible to maintain data consistency.

(2) The stored data can be easily reused.

  For example, when a failure occurs in the control system after shipment, the plant data is restored by instructing the reproduction of the color image data recorded in the video recording device 3 at the time of the failure, and the reproduction test is performed. It becomes possible. Further, by using the plant data at the time of the failure as input data, a system that is robust against the failure can be constructed.

(3) The parallax test can be performed efficiently in the development environment.

  When updating a plant control system that is already in operation, after performing development and testing in the development environment, the plant data is input to both systems on-site to confirm that the same operation is performed (Parallan test). ) Is generally performed. However, if the present invention is applied, it is only necessary to record the plant data at the site and reproduce it in the development environment, so that the work time at the site can be greatly reduced.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment.

  Specifically, in the above embodiment, the plant data is arranged as the RGB values of the image data, but may be imaged in a format other than the RGB color model. For example, a CMYK (Cyan-Magenta-Yellow-blacK) color model can also be used. By dividing the plant data into multiple units in units of the number of bits required for color information per pixel for each image format, it can be imaged in the same way as above, and the design can be arbitrarily changed in consideration of the amount of plant data. It is.

The block diagram which shows the example of whole structure of the plant data converter 1 which concerns on one Embodiment of this invention. The figure which demonstrates concretely the image conversion process and data restoration process in the plant data converter 1 which concerns on one Embodiment of this invention. The flowchart which shows the specific example of the image conversion process in the plant data converter 1 which concerns on one Embodiment of this invention. The flowchart which shows the specific example of the data restoration process in the plant data conversion apparatus 1 which concerns on one Embodiment of this invention. 10 is a flowchart showing a specific example of processing in the image conversion unit 13. The flowchart which shows the specific example of the process in the plant data decompression | restoration part 16. FIG.

Explanation of symbols

1 ... Plant data conversion device,
2 ... Plant system,
3 ... Video recording device,
11 ... control unit,
12 ... Plant data acquisition unit,
13: Image conversion unit,
14: Color image data recording unit,
15 ... Color image data reading section,
16 ... Plant data restoration part,
17: Interface section.

Claims (5)

A plant data acquisition unit for acquiring plant data output from plant equipment at a predetermined cycle;
An image conversion unit that divides the acquired plant data into a plurality of bit strings based on a predetermined rule, and converts the bit strings into color image data that is color information for each pixel;
A color image data recording unit for recording the converted color image data in a recording device;
A color image data reading unit for reading the recorded color image data;
A plant data restoration unit for restoring the read color image data to the plant data;
A plant data converter characterized by comprising:   The image conversion unit divides the plant data into a plurality of units in units of the number of bits required for color information per pixel in a predetermined image format, and performs conversion to the color image data. Item 1. The plant data conversion device according to Item 1. The plant data conversion apparatus according to claim 1, wherein the color information is RGB. A plant data acquisition step for acquiring plant data output from the plant equipment at a predetermined cycle;
An image conversion step of dividing the acquired plant data into a plurality of bit strings based on a predetermined rule, and converting the bit strings into color image data as color information for each pixel;
A color image data recording step for recording the converted color image data in a recording device;
A color image data reading step for reading the recorded color image data;
A plant data restoration step of restoring the read color image data to the plant data;
A plant data conversion method comprising:   In the image conversion step, the plant data is divided into a plurality of units in units of the number of bits required for color information per pixel in a predetermined image format, and the conversion to the color image data is performed. The plant data conversion method according to claim 4.