JP2003303017A - Plant control support device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a plant control support device which detects in an early stage an abnormality in a sensor or the like to be used in a plant, maintains the operation of the plant with a high degree of accuracy over the long term, and supports stable control operation. <P>SOLUTION: Data measured by the sensor 3 is converted to time-series trend data image information up to the measured point by an image information conversion part 14 at a certain timing. The image data is transmitted to a remote monitoring device 16, and displayed in images at an image display part 18 of the remote monitoring device 16 side. Consequently, the system structure becomes simple and the system construction becomes easy, and then, the data handling becomes easy and the security management is assured. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a plant control support device for monitoring a water quality sensor or other abnormality in a plant such as a water purification plant or a sewage treatment plant with a remote monitoring device.

[0002]

2. Description of the Related Art First, a conventional plant control support device in a plant such as a water purification plant or a sewage treatment plant will be described with reference to FIG. In addition, in FIG. 17, it is assumed that a water purification plant is set as a plant and control for maintaining the water quality at a target value is performed.

In the figure, a conventional plant control support device comprises a plant side control device 1 and a remote monitoring device 2. The control device 1 on the plant side includes a control unit 4 that receives a measurement value signal from a sensor 3 that detects the water quality of a water purification plant that is a plant, and that outputs an operation amount of a control target device provided in the plant.

Further, this measurement value signal is transmitted to the first sensor measurement value display section 5, and the measurement value display section 5
It is displayed as time-series trend data. Further, this measurement value signal is used as the first sensor measurement value database 6
And stored in the sensor measurement value transmission unit 7,
It is transmitted to the remote monitoring device 2 via the communication means 8.

The remote monitoring device 2 has a receiver 9 for receiving the water quality sensor measured value transmitted from the plant-side controller 1, and the sensor measured value signal received by the receiver 9 is used as a second value. It is displayed as time-series trend data by the sensor measurement value display unit 10. Further, this sensor measurement value signal is stored in the second sensor measurement value database 11.

In the above structure, the measurement value signal measured by the sensor 3 is compared with the target value which the plant is trying to obtain in the control unit 4. Based on the comparison result (deviation), the control unit 4 outputs the manipulated variable of the water quality improving device that constitutes the plant.

In this case, as the sensor 3, for example,
A residual chlorine meter in a water purification plant is used, and as a water quality improving device, for example, a chlorine injection pump is used, and the chlorine injection amount by the chlorine injection pump is controlled based on the measurement value signal of the residual chlorine meter.

This water quality sensor measured ground signal is displayed on the first sensor measured value display section 5 as time-series trend data, and is also stored and stored in the first sensor measured value database 6 at the same time.

The water quality sensor measurement value signal is transmitted from the sensor measurement value transmission section 7 to the remote monitoring device 2 via the communication means 8 and is received by the sensor measurement value reception section 9. Then, the trend data of the same water quality sensor measurement value signal is displayed on the second sensor measurement value display unit 10.

In the remote monitoring device 2, the operator is the second
The trend data graph of the water quality measurement value signal displayed on the sensor measurement value display unit 10 is viewed to determine whether it is normal or abnormal. As a result, if it is determined that an abnormality has occurred, the operator moves to the plant side and performs maintenance such as inspection, calibration, and repair of the sensor 3 and the control unit 4.

[0011]

This conventional technique has the following problems.

The first problem is that the transmission / reception management of the measurement value data by the sensor 3 is complicated, and as a result, the cost of system construction increases and it becomes economically disadvantageous.

That is, since the measurement value signal itself of the water quality sensor is transmitted to the remote monitoring device 2 in a short cycle, the sensor measurement value transmitting section 7, the communication means 8, the sensor measurement value receiving section 9, etc. are transmitted at the time of the transmission. The devices had to be operated in synchronization at all times. For this reason, transmission / reception management becomes complicated and system construction is difficult.

Further, the data transmitted to the remote monitoring device 2 includes not only the measured value of the sensor 3 but also the alarm information and the quantitative data, which have a score ten times or more that of the sensor measured value data. Was often sent and received at the same time.

Therefore, the second sensor measurement value display unit 10
In order to display the same screen as the first sensor measured value display unit 5, the remote monitoring device 2 needs to have a system configuration equivalent to that of the control device 1 on the plant side, which increases the cost of system construction.

The second problem is that the data storage amount of the sensor measurement value becomes huge and it becomes difficult for the operator to use it.

That is, since the measurement value itself of the sensor 3 is transmitted, the amount of data stored in the second sensor measurement value database 11 becomes enormous if the operation time becomes long. For this reason, it may be difficult for the operator to use it because it takes a lot of time to display the trend of those data on the second sensor measurement value display unit 10, or the remote monitoring device 2 stops.

The third problem is a problem of leakage of confidential information in which highly confidential water quality sensor measured value data is leaked to the outside.

Normally, the measured value data of the water quality sensor is highly confidential data unique to the plant, and should not be leaked to the outside and changed or modified before being used.

However, in the prior art, the remote monitoring device 2
If the security at the site deteriorates, the water quality sensor measured value data may leak to the outside.

The object of the present invention is to provide a plant control support device for detecting abnormalities in a sensor used in a plant at an early stage, maintaining the plant operation with high accuracy for a long period of time, and supporting stable control operation. To provide.

[0022]

A plant control support apparatus according to claim 1 is provided on the plant side, inputs a measurement value from a sensor installed in the plant, and controls the plant according to the measurement value. A control unit that controls the operation amount of the target device, a sensor measurement value display unit that displays trend data based on the measurement values, and image information conversion that converts this trend data into image information at a predetermined timing for the time until then. Section, an image information transmitting section for transmitting the converted image information to a remote monitoring apparatus by a communication means, and an image information receiving section provided on the remote monitoring apparatus side for receiving image information transmitted from the plant side. An image display unit for displaying the image information received by the image information receiving unit, and a display image database for storing and storing the displayed image information. Characterized by comprising.

The present invention according to claim 2 provides a plant-specific information database storing plant-specific information, and the image information conversion unit superimposes the trend data with the information stored in this plant-specific information database. It is characterized by converting information into image information.

The present invention according to claim 3 is characterized in that the conversion timing by the image conversion means is the timing at which the sensor measurement value display means is operated to display the trend data.

According to a fourth aspect of the present invention, the plant side is provided with an image compressing section for compressing the image information converted by the image information converting section, and the remote monitoring apparatus side is provided with the compressed image received by the image information receiving section. An image decompression unit for decompressing information into original image information is provided.

According to a fifth aspect of the present invention, on the remote monitoring device side, an image analysis unit that mathematically performs image analysis of the image information displayed on the image display unit, and an abnormality diagnosis of measurement contents is performed by the image analysis. It is characterized in that an abnormality diagnosing unit to be performed and an abnormal value output unit for notifying a result of the abnormality diagnosis are added.

According to a sixth aspect of the present invention, a maintenance information image database for storing the maintenance information of the sensor installed in the plant is provided on the remote monitoring device side, and the image display unit performs maintenance when displaying the image information. The maintenance information of the sensor corresponding to the displayed image information is read out from the information image database and displayed together with the image information.

The present invention according to claim 7 is characterized in that a plurality of remote monitoring devices having the same function as the remote monitoring device are provided, and each of these remote monitoring devices is connected in series or in parallel by a communication means.

According to the present invention, a plurality of plants are provided, and the image receiving unit of the remote monitoring device receives the image information of the sensor measurement value data transmitted from the plurality of plants, and displays the image. The unit is capable of displaying image information from a plurality of plants received by the image receiving unit in parallel, and the display image database stores and stores image information from the plurality of plants.

According to a ninth aspect of the present invention, a sensor for measuring a process value of a processing result executed by the plant, an equipment control unit for controlling the constituent equipment of the plant according to a given control target value, In order to obtain a desired processing result based on the measured value of the sensor, a process value control unit that outputs a control target value for a plant constituent device, and a control mode of the device control unit are controlled by the process value control unit. A process value control mode controlled by a target value, and a physical quantity control mode controlled by a physical quantity control target value determined independently of the measurement value of the sensor,
It is characterized in that it is provided with a control mode switching unit for switching to either one and a sensor diagnostic unit for judging a sensor abnormality due to switching from the process value control mode to the physical quantity control mode by the control mode switching unit.

In these inventions, the data measured by the sensor is converted into the time-series trend data image information up to that point at a certain timing, this image data is transmitted to the remote monitoring device, and the image is displayed on the remote monitoring device side. Since the information is displayed, the system structure is simplified, the system construction is facilitated, the data is easily handled, and the security management is ensured.

Further, when the abnormality of the sensor is judged from the control mode switching timing, the abnormality judgment processing is simplified.

[0033]

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of a plant control support device according to the present invention will be described below with reference to the drawings.

First, the embodiment shown in FIGS. 1 and 2 will be described. In FIG. 1, the same components as those in FIG. 17 are designated by the same reference numerals. Also in the embodiment of FIG. 1, a case where a water purification plant is set as a plant and a water quality sensor is used as a sensor will be described.

This plant control support device also comprises a plant side control device 13 and a remote monitoring device 16.

The control device 13 on the plant side receives the measurement value signal from the sensor 3 for detecting the water quality of the water purification plant, which is a plant, and outputs the operation amount of the controlled equipment provided in the plant to the control unit 4. Have. Further, this measurement value signal is transmitted to the sensor measurement value display unit 5, and is displayed as time-series trend data by this measurement value display unit 5. Further, this measurement value signal is stored in the sensor measurement value database 6.

Up to this point, the configuration is basically the same as the conventional configuration shown in FIG. In the present invention, the image information conversion unit 1 is newly added.
4 and the image information transmitting unit 15 are provided. The image information conversion unit 14 converts the trend data based on the measurement value signal into image information at a predetermined timing (for example, a fixed cycle every day) for the time until then. The converted image information for displaying the water quality sensor measurement value is the image information transmission unit 1
5 is transmitted to the remote monitoring device 16 via the transmitting means 8.

The remote monitoring device 16 has a receiving part 17 for receiving the image information for displaying the water quality sensor measurement value transmitted from the control device 13 on the plant side. This receiver 1
The image information received at 7 is displayed as time-series trend data by the image display unit 10 for water quality sensor measurement values. Further, this image information is stored in the display image database 12 for the water quality sensor measurement value.

In such a system configuration, the residual chlorine amount in the water is measured by the sensor 3, for example, a residual chlorine meter (not shown), and is input to the control unit 4 as water quality sensor measured value data.

In the control unit 4, the optimum chlorine injection amount target value is arithmetically processed based on the input measured value data, and the corresponding operation amount is output to the plant side. In parallel with this calculation process, the water quality sensor measured value data is sent to the sensor measured value display unit 5 and is displayed as a graph as time series torrent data. At the same time, the sensor measurement value data is stored in the sensor measurement value database 6.

FIG. 2 shows an example of this trend graph display. In FIG. 2, the residual chlorine measurement value, which is the measurement value of the sensor 3, is plotted on the vertical axis, and the time is plotted on the horizontal axis. Represents the time transition of.

According to the figure, the waveform is not disturbed until time T1, and the change in the residual chlorine measurement value is displayed stably.
It can be confirmed that the sensor 3 is normal. On the other hand, after the time T1, the waveform is disturbed, and from this, it is possible to discriminate and confirm at a glance that the main body of the sensor 3 has failed, or that an abnormality such as air adhering to the electrode portion occurs.

Returning to FIG. 1, the controller 13 on the plant side.
Then, at predetermined timing, for example, every day cycle, the trend data for the time until then is converted into the image information conversion unit 14.
Convert to image information by.

This converted image data is transmitted from the image transmission section 15 to the image reception section 17 of the remote monitoring device 16 via the communication means 8, and the trend data of the sensor (residual chlorine meter) 3 in the plant is displayed as an image. It is displayed on the section 18. At the same time, the image data is saved and stored in the display image database 12.

The operator engaged in the monitoring work with the remote monitoring device 16 observes the image trend data (the same image as in FIG. 2) displayed on the image display unit 18, and the sensor 3 of the main plant detects the time T1. Understand that something went wrong.

When the operator grasps the abnormality, he / she quickly moves to a place where the control device 13 on the plant side is installed and inspects the sensor 3 so that the measured value becomes the same as the normal sensor value before the time T1. , Calibrate, and repair.

According to the above embodiment, the remote monitoring device 1
6 only sends the image signal converted at a certain timing (for example, one day cycle) from the control device 13 on the plant side, and the conventional sensor measurement value signal itself is sent in a short cycle. Compared with the case, the system configuration is greatly simplified and the system construction cost can be reduced.

Further, as described above, since the image signal is periodically transmitted, the amount of data transmitted from the plant-side control device 13 to the remote monitoring device 16 is smaller than in the conventional case, and the image transmission section 15, The number of operations of the image receiving unit 17 and the transmitting unit 8 is reduced, the transmission cost is reduced, and the storage amount of the display image database 12 is reduced.

Next, the embodiment shown in FIG. 3 will be described.

In FIG. 3, the control device 19 on the plant side
Is configured so that the plant-specific information database 20 is added to the control device 13 on the plant side described in FIG. 1 and the data is supplied to the sensor measurement value display unit 5. The image information conversion unit 14 converts the information obtained by superimposing the information stored in the plant-specific information database 20 on the trend data displayed on the sensor measurement value display unit 5 into image information.
Includes plant-specific data, such as plant name,
Address, telephone number, administrator name, sequence name, display time, etc. are stored in advance. The data of the plant-specific information database 20 is displayed on the sensor measurement value display unit 5 so as to be superimposed on the trend data. In addition, the superimposed data is the image information conversion unit remote monitoring device 1
6 is transmitted.

That is, the trend data image information in which the data of the plant-specific information database 20 is overlaid is also displayed by the image display section 18 of the remote monitoring device 16, so that the operator is required for maintenance work such as the name of the plant. All information can be grasped simultaneously and instantly. Therefore, the efficiency of maintenance work is significantly improved.

In the above embodiment, the water quality sensor measured value data from the sensor 3 is converted into image information at a constant cycle and transmitted to the remote monitoring device 16, but the cycle of transmitting this image information is not limited. .

For example, as shown in the flow chart of FIG.
The operator activates the sensor measurement value display unit 5,
It may be configured to be transmitted when the water quality trend graph is viewed.

In FIG. 4, it is determined whether or not the sensor measurement value display unit 5 has operated (step S1), and if yes, the Yes routine is entered to turn on the image information conversion unit 14 and the image transmission unit 15. (Step S2), the remote monitoring device 1 displays the image information of the water quality trend graph up to that point.
Send to 6.

On the other hand, if it is not operating, a No routine is entered to turn off the image information conversion unit 14 and the image transmission unit 15 (step S3), and the trend graph image is not transmitted to the remote monitoring device 16.

Next, the embodiment shown in FIGS. 5 and 6 will be described.

In this embodiment, the remote monitoring device 25
And a control device 2 provided in a plurality of plants (water purification plants)
1 to 24, the display image information of the water quality sensor measurement value is transmitted, and the image display portion 27 of the remote display device 25 simultaneously displays the display image information to display the water quality of each water treatment plant. The sensor (residual chlorine meter) controls the chlorine injection rate so that it can be monitored at the same time.

That is, as shown in FIG. 5, the system construction is such that the chlorine injection amount control by the residual chlorine meter at the four water purification plants A to D is monitored at the same time.
The D control devices 21 to 24 are connected to one remote monitoring device 25. This remote monitoring device 25 includes 4 water purification plants A to
A sensor measurement value display image receiving unit 26 that receives image information from the control devices 21 to 24 of D, an image display unit 27 that displays the received trend data image information, and the displayed image trend data is saved and stored. And a sensor measurement value display image database 28.

In the case of this embodiment, the image display unit 2
As shown in FIG. 6, the trend data image information of the water quality sensor (residual chlorine concentration meter) measurement values at the four water treatment plants A to D are simultaneously output as images in FIG.
The water quality trend graphs of ~ D are displayed at a glance if they are abnormal.

In FIG. 6, from the display image screen of the image display unit 27, among the four water purification plants A to D, the respective screens of the water purification plants C and D have the dips and disturbances of the waveforms, respectively. It can be easily confirmed that D is abnormal.

Next, the embodiment shown in FIG. 7 will be described.

In the embodiment shown in FIG. 1, the image information converted by the image conversion unit 14 is transmitted as it is, but in this embodiment, the image compression and decompression functions are provided. , Facilitates large amount of data processing.

That is, the control device 29 on the plant side shown in FIG. 7 has an image compression unit 30 using software such as JPEG or MPEG. Then, the image information converted by the image information conversion unit 14 is compressed, and the compressed image information is transmitted to the remote monitoring device 31 by the image transmission unit 15.

On the other hand, in the remote monitoring device 31, the image decompression unit 3
2, the compressed image information received by the image receiving unit 17 is decompressed, displayed by the image display unit 18, and stored in the display image database 12.

Therefore, a large amount of image information can be handled, and the operational efficiency of the system is significantly improved.

Next, the embodiment shown in FIGS. 8 and 9 will be described.

In each of the above-described embodiments, the image display unit 18 of the remote monitoring device only displays the trend data based on the water quality sensor measurement value data. Therefore, if the operator is not always gazing at the image display unit 18, it is abnormal. The state cannot be discovered.

Therefore, in the present embodiment, as shown in FIG. 8, the image information of the trend data displayed on the image display unit 18 is analyzed to automatically detect the abnormality, and the detection result is output as an alarm. I decided to do it. For this reason, the operator does not have to concentrate solely on the monitoring work, the operating efficiency is improved, and the mistake of overlooking an abnormal state due to fatigue is eliminated, and the reliability of the system can be improved.

FIG. 8 shows this embodiment, and the remote monitoring device 33 in FIG. 8 additionally includes an image analysis unit 34, an abnormality diagnosis unit 35, and an abnormal value output unit 36. The image analysis unit 34 analyzes the image information of the trend data displayed on the image display unit 18, and extracts the water quality sensor measurement value from this image information. The abnormality diagnosing unit 35 diagnoses whether the extracted water quality sensor measurement value is abnormal or normal, and outputs the abnormal value data to the abnormal value output unit 36 only when the abnormality is diagnosed.

As the abnormal value output unit 36, for example, an alarm lamp, an alarm, a bell, or a telephone contact such as a mobile phone or PHS is used to notify the operator of the abnormality.

In such a system configuration, image analysis of the water quality sensor measured value data is performed by the following mathematical method.

That is, first, as shown in FIG. 9, the water quality sensor measured value data of the image is extracted, and the dot data P1 to
Graph as Pn. Next, the graphed dot data is linearly approximated by the least-squares error method, and the abnormality of the water quality sensor is determined by the numerical value of the squared error ε ² shown in the following equation (1).

Ε ² = Σd _i ² (1) The abnormality judgment is made by the abnormality diagnosis section 35, that is,
The abnormality diagnosing unit 35 uses the numerical value of ε ² to perform a simple diagnosis of abnormality determination of the water quality sensor as in the following equations (2) and (3).

If ε ² > ε ₁ , the water quality sensor value is abnormal (2) If ε ² ≦ ε ₁ , the water quality sensor value is normal (3) As a result of this simple diagnosis, an abnormality is diagnosed. In this case, the abnormal value output unit 36 outputs the alarm sound, for example.

The image analysis unit 34, the abnormality diagnosis unit 35,
The abnormal value output unit 36 and the like are not limited to the method described above, and may be configured to have the following processing functions.

That is, as the processing function of the image analysis unit 34, the publicly known document "Basic Techniques of Image Processing" (Technical Review Co., Ltd.)
The following methods disclosed in “Digital Image Processing Engineering” (Nikkan Kogyo Shimbun) and the like may be used. As the grayscale image processing, emphasis processing, smoothing processing, geometric conversion processing, edge detection processing, area division processing, template matching processing, etc. are applied. -As binary image processing, connected component processing, graphic shape analysis processing, etc. are applied.・ As line graphics processing, thinning processing, contour tracking processing,
Extraction and segmentation processing of line figures, smoothing processing of line figures, line figure fitting processing, etc. are applied.

Further, as the processing function of the abnormality diagnosis section 35, the following method can be used. -As various statistical processing, test, interval estimation, analysis of variance, regression analysis, correlation analysis, SN ratio, control chart test, etc. are applied. -Apply change value calculation of water quality sensor measurement value. That is, the abnormality diagnosis based on the change value of the water quality sensor is performed by the arithmetic processing according to the following equations (4) to (7).

That is, first, the residual chlorine concentration change value calculation is performed by the following equation.

[D-CL] t = ([PC-CL] t- [PC-CL] t-1) (4) Next, from the result of the equation (4), the residual chlorine concentration changes as follows. Perform value diagnosis.

[D-CL] t> [SV-d-CL] 1 (5) When the equation (5) is satisfied, the water quality sensor 3 has an abnormality.
That is, there is a possibility that dirt is attached to the electrode or the position of the electrode is defective.

[D-CL] t <[SV-d-CL] 2 (6) Even if the equation (6) is satisfied, the water quality sensor 3 is abnormal. In other words, there is a possibility that the sensor itself is out of order or that oxygen is attached.

[SV-d-CL] 2 <[d-CL] t <[SV-d-CL] 1 (7) When the expression (7) is established, the water quality sensor 3 is diagnosed as normal. To be done.

The symbols in the above formulas are as follows.

[D-CL] t: Current residual chlorine concentration change value [PV-CL] t: Current residual chlorine concentration measured value [PV-Cl] t-1: Previous residual chlorine concentration measured value [SV- d-CL] 1: Residual chlorine concentration change value upper limit set value [SV-d-CL] 2: Residual chlorine concentration change value lower limit set value Next, an embodiment shown in FIG. 10 will be described. A feature of the present embodiment is that the image display unit 18 can output information such as a coping method for an abnormality and a maintenance method.

In FIG. 10, the remote monitoring device 37 is provided with a maintenance information image database 38 regarding water quality sensors and the like, and the information can be displayed on the image display section 18. In the maintenance information image database 38, a maintenance method for each type of each water quality sensor is stored in advance as image information.

Therefore, when the trend data of the water quality sensor measured value is displayed on the image display unit 18, the image information of the maintenance method read from the maintenance information image database 38 is also displayed at the same time. Therefore, when the operator who monitors the remote monitoring device 37 finds an abnormality in the sensor 3 from the displayed trend data,
The maintenance method of the sensor 3 having an abnormality can be quickly grasped, and the maintenance efficiency can be improved.

Next, the embodiment shown in FIG. 11 will be described. In the present embodiment, a plurality of, for example, two remote monitoring devices (hereinafter, referred to as first and second remote monitoring devices) 39 and 42 are connected in series to enable water quality monitoring at two locations. , The reliability of the system is improved.

The first and second remote monitoring devices 39 and 42 are not limited to being connected in series and may be connected in parallel.

In FIG. 11, the first remote monitoring device 39
An image transmission unit 40 is added to the. The image transmission unit 40 transmits the image information of the trend data displayed on the image display unit 18 to the second remote monitoring device 42 via the communication unit 41.

The second remote monitoring device 42 has the same structure as the remote monitoring device 16 shown in FIG. 1, and the trend data image transmitted from the image transmitting section 40 of the first remote monitoring device 39. An image receiving unit 43 for receiving information, an image display unit 44 for displaying the received image information, and a display image database 45 for storing and storing the display image information are provided.

In this way, the remote monitoring devices 39 at a plurality of locations
Since the abnormality of the plant can be monitored by and 42, the monitoring system can be expanded.

Next, the embodiment shown in FIG. 12 will be described. In each of the embodiments so far, the data of the water quality sensor measurement value itself is handled, but in the present embodiment, the data that controls the components of the plant that controls the water quality, that is, depending on the state of other physical quantity control, It enables the condition diagnosis of the water quality sensor.

FIG. 12 shows the relationship between the sewage treatment process unit 46, the control device 47, and the water quality control support device 48.

First, the sewage treatment process section 46 will be described. 51 is the first settling value, the sewage 5 flowing in via pipe 49
0 is precipitated. Reference numeral 53 denotes an aeration tank, which receives the treated water that has been first settled in the settling basin 51 via a pipe 52, and aerates the treated water by air diffused from a diffuser plate 61 provided at the bottom. Reference numeral 55 denotes a final sedimentation value, which receives the treated water aerated in the aeration tank 53 through the pipe 54 and finally purifies the sediment. A pipe 59 having a return pump 58 is connected between the final settling tank 55 and the aeration tank 53, and a part of the settled sludge is returned to the aeration tank 53. Final settling tank 5
The supernatant water 5 (finally purified treated water) 56 of 5 is a pipe 57.
Is discharged through.

The aeration tank 53 has a DO (Dissolved Oxigen) meter 60 for measuring the dissolved oxygen concentration of the treated water.
Is installed. Further, the air blown through the air diffuser plate 61 provided at the bottom of the aeration tank 53 through the air pipe 62 is supplied from the blower 63, and the electric valve 64 and the flow meter 65 are provided.
Sent through. The air volume sent to the air diffuser plate 61 is measured by the flow meter 65, and the measured amount is input to the air volume control unit 68 of the control device 47. The electric valve 64 is the air volume control unit 6
The opening degree is controlled by the control output of No. 8, and the air volume sent to the air diffuser plate 61 is controlled.

The controller 47 controls the amount of aeration air so that the DO value of the treated water in the aeration tank 53 becomes a target value, and the control mode switching unit 66 which issues a control mode switching command and this control mode switching unit 66. It has a changeover switch 67 which is activated by a mode change command.

The air volume control unit 68 performs air volume control based on the air volume target value 71 calculated by the DO control unit 70.
It operates in either an O control mode or a physical control mode in which air volume control is performed based on a physical quantity determined irrespective of the DO value, and any one of the control modes is selected by the changeover switch 67. That is, the air volume control unit 68 sets the aeration air volume measurement value of the flow meter 65 so as to match the air volume target value 70 or a separately determined physical quantity.
The valve opening of the electric valve 64 is adjusted.

The water quality control support device 48 has a physical control mode determination section 71, receives a control state signal from the air volume control section 68, and determines whether or not it is currently in the physical control mode. Based on this determination result (current control mode), the water quality sensor diagnostic unit 72 diagnoses whether the DO meter 60, which is a water quality sensor, has an abnormality, and outputs the diagnostic result to the diagnostic display unit 73 for display. Let

In other words, the DO meter 60 measures the process value, that is, the DO value, which is the result of the aeration process executed by the sewage treatment process unit 46 which is a plant. The air volume control unit 68 is a device control unit that controls the electric valve 64, which is a component device of the plant, according to a given control target value. The DO control unit 69
A process value control unit that outputs a control target value (air flow target value) 70 for the plant components to obtain a desired processing result (target DO value) based on the measurement value of the sensor (DO meter) 60. is there.

The control mode switching unit 66 includes a device control unit 68.
The process value (DO) control mode in which the control mode is controlled by the control target value 70 from the process value control unit 69, and the physical quantity control target value (air quantity set value) determined independently of the measurement value of the sensor 60. Switch to either physical control mode to control.

The water quality sensor diagnosis unit 72 determines that the sensor is abnormal because the process mode control mode is switched to the physical quantity control mode by the control mode switching unit 66. The reason for this determination will be described later.

With such a system configuration, the sewage 50 flowing in through the pipe 49 is first subjected to sedimentation treatment in the sedimentation tank 51. The treated water subjected to the precipitation treatment is sent to the aeration tank 53 through the pipe 52, and the blower 63 causes the motor-operated valve 6 to flow.
4, the flow meter 65, the air pipe 62, and the air diffused from the diffuser plate 61 into the treated water is aerated together with the sludge returned from the final settling tank 55. The treated water that has been subjected to aeration treatment is subjected to sedimentation treatment in the final sedimentation tank 55, and the supernatant water is drained.

In this aeration process, the control mode is normally switched by the command of the mode switching unit 66.
The DO control mode is switched according to 7. in this case,
The dissolved oxygen concentration of the inflowing sewage 50 is measured by the DO meter 60, and the amount of air to the diffuser plate 61 is controlled according to the oxygen concentration.

The control of this air amount is performed by the DO control unit 70
This is performed by inputting the measurement value signal of the O meter 60, calculating the air volume target value 70 by a calculation formula described later, and giving the air volume target value 70 to the air volume control unit 68. Air volume control unit 6
In 9, the air flow measurement value of the flow meter 65 is input, and the valve opening degree of the motor-operated valve 64 is adjusted so that the air flow target value 70 is obtained.

Here, the arithmetic expressions in the DO control section 69 are the following expressions (8) to (10). First, the DO deviation calculation formula is shown in formula (8).

[0106]     [D-DO] t = ([SV-DO] t- [PV-DO] t) (8) Next, the aeration air flow rate target value calculation formula is shown in formula (9).

[0107]     [D-Qg] t = Kp * ([d-DO] t- [d-DO] t-1)                                            + H / Ti * [d-DO] t ... … (9) Furthermore, the aeration air volume correction calculation formula is shown in formula (10).     [SV-Qg] t = [SV-Qg] t-1 + [d-Qg] t (10) The symbols in the above formulas are as follows.

[SV-Qg] t: Current target value of aeration air quantity [SV-Qg] t-1: Previous target value of aeration air quantity [d-Qg] t: Current correction value of aeration air quantity [PV-DO] ] T: Current DO measurement value [SV-DO] t: Current DO measurement value target value [d-DO] t: Current DO measurement value deviation [d-DO] t-1: Previous DO measurement Value deviation Kp: Proportional gain Ti: Integration time h: Control cycle t: Time When an abnormality occurs in the water quality sensor 60, for example, when dirt adheres to the electrode portion or reagent deterioration occurs, the measured value is abnormal. Then, the operator detects this abnormality, operates the control mode switching unit 66, and switches to the physical control mode by the changeover switch 67. That is, the DO control unit 69 is removed from the control system, and the opening degree of the motor-operated valve 64 is controlled based on the physical quantity (air volume value) uniquely set in the air volume control unit 68.

The switch to the physical control mode is judged by the physical quantity control mode judging section 73 based on the state signal from the air quantity controlling section 68. According to the determination, the water quality sensor diagnosis unit 72 performs the water quality sensor diagnosis based on the physical control mode.

13 and 14 show trend graphs of DO measurement values by the DO meter 60. Normally, when an abnormality of the water quality sensor 60 occurs at time T1,
Since the waveform after T1 changes greatly, the operator monitoring the sewage treatment process recognizes that an abnormality has occurred and immediately switches the control mode from the DO control mode to the physical control mode. Utilizing the characteristics of this operator,
Under the assumption that there is a correlation between this mode change and the abnormality of the water quality sensor, the water quality sensor abnormality diagnosis is performed.

That is, in this water quality sensor abnormality diagnosis, as shown in FIG. 15, at the time T2 after the occurrence of the abnormality T1, the DO control mode, which is one of the water quality controls, is switched to the air volume control mode, which is the physical (air volume) control. The switching is performed by diagnosing the abnormality information of the water quality sensor 60.

The diagnosis result by the water quality sensor diagnosis unit 72 thus performed, that is, the abnormal state of the water quality sensor 60 is displayed on the sensor diagnosis display unit 73.
The operator will perform maintenance and calibration of the water quality sensor 60 based on this result.

Incidentally, the abnormality diagnosis of the water quality sensor 60 is performed in addition to the control mode switching state, the control mode continuation time,
It is also possible to use either the absolute value of the control target value or the derivative or integral value of the control target value or the like.

As the state of the water quality sensor 60, any one of the accuracy of the water quality sensor 60 itself, the calibration time, the reagent replacement time, the installation position, and the like can be used.

Furthermore, in the present embodiment, the water quality sensor diagnostic unit 72 is arranged on the side of the plant having the sewage treatment process 46, but it may be installed at another remote place.

FIG. 16 is a block diagram showing the system configuration when the water quality sensor diagnostic unit is installed in another remote place. A physical quantity data transmission unit 74 is newly provided in the control device 76. Further, a remote monitoring device 77 in which a physical quantity data receiving unit 75 is added to the water quality control support device 48 shown in FIG. 12 is provided.

In this embodiment, the physical quantity data transmission unit 7
4 to the physical quantity data receiving section 75 via the communication means 78.
Then, the air volume control mode as a physical quantity is transmitted.

In the above description, as the water quality control of the sewage treatment plant, the embodiment in which the DO control is performed by using the DO meter 60 is introduced, and in FIG. 1, the water quality control of the water purification plant is performed.
Although the chlorine injection amount control was introduced using the residual chlorine meter, the water quality control and the water quality sensor are not limited to these. That is, if it is the water quality control of the water and sewage plant,
Of course, the combinations of the water quality sensor and the water quality control listed below are also applicable. (1) Control of chlorine injection amount or chlorine injection rate by residual chlorine sensor or organic substance sensor. (2) Control of coagulant injection amount or coagulant injection rate by a coagulation sensor or an organic substance sensor. (3) Ozone injection amount or ozone injection rate control by a dissolved ozone sensor, an exhaust ozone sensor, or an organic substance sensor. (4) Control of the amount of storm air or the air flow rate by the dissolved oxygen sensor, that is, the DO meter. (5) Control of the amount of sludge to be returned or the ratio of sludge to be returned by the sludge concentration sensor, that is, the MLSS meter. (6) Organic matter sensor, that is, UV meter or TO
Control of carbon source injection amount or carbon source injection rate by C meter, COD meter, or turbidity meter. (7) Phosphorus sensor, ie, PO4 meter or TP
Control of coagulant injection amount or coagulant injection rate by meter. (8) Nitrogen sensor, that is, NH4 meter or NO
Control of any one of the amount of storm air, the air flow rate, the excess sludge extraction rate, the nitrification solution circulation rate, the nitrification solution circulation rate, etc. by 3 meters or TN meters. (9) Control of any of the amount of storm air, the air flow rate, the nitrification solution circulation rate, the nitrification solution circulation rate, etc. by the ORP meter. (10) Control of injection amount of either alkali or acid by pH meter.

[0119]

According to the present invention, by converting the measurement value information by the sensor measured on the plant side into image information and transmitting it to the remote monitoring device, the amount of transmitted data can be reduced and remote monitoring can be performed at low cost. Therefore, the abnormality on the plant side can be grasped even by the remote monitoring device remote from the plant, and the supervisory control efficiency is improved.

Further, when the control mode switching criterion is used as the abnormality criterion on the plant side, the abnormality occurrence can be easily detected without scrutinizing the sensor measurement signal or the control contents in detail, so that the system configuration is simple. It is possible to realize a stable abnormality detection function for a long period of time.

[Brief description of drawings]

FIG. 1 is a block diagram showing an embodiment of a plant control support device according to the present invention.

FIG. 2 is a diagram showing an example of a display image of a trend graph in the above embodiment.

FIG. 3 is a block diagram showing another embodiment according to the present invention.

FIG. 4 is a flowchart showing another embodiment according to the present invention.

FIG. 5 is a block diagram showing another embodiment of the present invention.

FIG. 6 is an image screen diagram in the above embodiment.

FIG. 7 is a block diagram showing another embodiment according to the present invention.

FIG. 8 is a block diagram showing another embodiment according to the present invention.

FIG. 9 is an image analysis image diagram for explaining the abnormality diagnosis method in the above embodiment.

FIG. 10 is a block diagram showing another embodiment according to the present invention.

FIG. 11 is a block diagram showing another embodiment according to the present invention.

FIG. 12 is a block diagram showing another embodiment according to the present invention.

FIG. 13 is a water quality trend graph in the above embodiment.

FIG. 14 is another water quality trend graph in the embodiment.

FIG. 15 is an operation process chart showing a mode switching state in the embodiment.

FIG. 16 is a block diagram showing another embodiment according to the present invention.

FIG. 17 is a block diagram showing a system configuration of a conventional device.

[Explanation of symbols]

13, 19, 29 Plant side controller 16, 31, 33, 37, 39, 42 Remote monitoring device 3,60 sensor 4 control unit 8,41,78 Communication means 12,45 sensor measurement value display image database 14 Image information converter 15,40 Image transmitter 17,43 Image receiver 18 Image display section 20 Plant-specific information database 16,25 Plant remote monitoring device 26 Image receiver 27 Image display section 28 Sensor measurement value display image database 30 image compression unit 32 Image decompression section 34 Image Analysis Department 35 Abnormality diagnosis section 36 Abnormal value output section 38 Image database of sensor maintenance information 44 Image display section 47,76 Control device 64 Motorized valve that is a plant component 66 Control mode switching unit 68 Equipment control unit 69 Process pond controller 70 Control target value 71 Physical control mode determination unit 72 Sensor diagnosis section

   ─────────────────────────────────────────────────── ─── Continued front page    (72) Inventor Shioko Miyajima             No. 1 Toshiba-cho, Fuchu-shi, Tokyo Toshiba Corporation             Fuchu Office (72) Inventor Takumi Hayashi             No. 1 Toshiba-cho, Fuchu-shi, Tokyo Toshiba Corporation             Fuchu Office (72) Inventor Yukio Motoki             1-1 Shibaura, Minato-ku, Tokyo Co., Ltd.             Toshiba headquarters office (72) Inventor Yukio Hatsuka             1-30-1 Oyodo Naka, Kita-ku, Osaka City, Osaka Prefecture             Toshiba Kansai branch office F term (reference) 2F073 AA12 AA21 AA40 AB02 AB03                       AB12 CC01 CC14 GG01 GG08                 2F076 BA13 BA17 BA19 BD16 BE04                       BE06 BE08 BE09 BE12 BE15                       BE17                 5H223 AA01 BB01 CC01 DD07 DD09                       EE02 FF03

Claims (9)

[Claims] 1. A control unit, which is provided on the plant side, inputs a measurement value from a sensor installed in the plant, and controls the operation amount of a control target device provided in the plant according to the measurement value; A sensor measurement value display unit for displaying trend data, an image information conversion unit for converting the trend data into image information at a predetermined timing for the time until then, and a remote monitoring device for the converted image information by communication means. And an image information receiving unit that is provided on the remote monitoring device side and receives image information transmitted from the plant side, and an image that displays the image information received by this image information receiving unit. A plant control support apparatus comprising: a display unit; and a display image database that stores and stores the displayed image information. 2. A plant-specific information database that stores plant-specific information is provided, and the image information conversion unit converts the information obtained by superimposing the trend data and the information stored in this plant-specific information database into image information. The plant control support device according to claim 1. 3. The conversion timing of the image conversion means is
2. The timing at which the trend data is displayed by operating the sensor measurement value display means.
The plant control support device described in 1. 4. The plant side is provided with an image compression section for compressing the image information converted by the image information conversion section, and the remote monitoring apparatus side decompresses the compressed image information received by the image information receiving section into the original image information. The plant control support apparatus according to claim 1, further comprising an image decompression unit for performing the above. 5. An image analysis unit for mathematically analyzing the image information displayed on the image display unit on the remote monitoring device side, an abnormality diagnosis unit for diagnosing abnormality of the measurement content by the image analysis, and an abnormality thereof. The plant control support apparatus according to claim 1, further comprising an abnormal value output unit that notifies a result of the diagnosis. 6. A maintenance information image database for storing maintenance information of a sensor installed in a plant is provided on the remote monitoring device side, and an image display section is displayed from the maintenance information image database when displaying the image information. 2. The plant control support device according to claim 1, wherein maintenance information of the sensor corresponding to the image information is read out and displayed together with the image information. 7. The plant control support device according to claim 1, wherein a plurality of remote monitoring devices having the same function as the remote monitoring device are provided, and these remote monitoring devices are connected in series or in parallel by a communication means. . 8. A plurality of plants are provided, an image receiving section of the remote monitoring device receives image information of sensor measurement value data transmitted from a plurality of plant sides, and an image display section is received by the image receiving section. The plant control support device according to claim 1, wherein the image information from the plurality of plants can be displayed in parallel, and the display image database stores and stores the image information from the plurality of plants. 9. A sensor for measuring a process value of a processing result executed by a plant, an equipment control unit for controlling constituent equipment of the plant according to a given control target value, and based on a measurement value of the sensor. A process value control unit for outputting a control target value for a plant constituent device for obtaining a desired processing result, and a process value control for controlling a control mode of the device control unit by a control target value from the process value control unit. Mode and a physical quantity control mode controlled by a physical quantity control target value determined irrespective of the measurement value of the sensor, and a control mode switching section for switching between the process value control mode and the physical quantity by this control mode switching section. It is equipped with a sensor diagnosis unit that determines that a sensor is abnormal due to switching to the control mode. Plant control assist apparatus for.