JPH04109291A - Plant monitor device and screen display specification control method - Google Patents

Abstract

PURPOSE:To reduce the monitoring burden on an operator by providing an environmental condition input means for the place where display means are installed and controlling display specifications by a neuromodel which learns the relation between inputted environmental conditions and the display specifications. CONSTITUTION:The environmental condition input means 3A inputs the environmental condition such as the direction of light, the kind of a light source, the spectrum and intensity of light, etc., in the environment where the display means 8A and 8B are installed to a control means 20. The neuromodel 1 of the control means 20 learns by varying a synapse load so that a display specification indicated by the operator is outputted under the inputted environmental conditions. As the neuromodel learns, the neuromodel 1 outputs an automatically learnt display specification when environmental conditions are inputted. The control means 20 controls the display means 8A and 8B according to the display specification outputted by the neuromodel 1. Consequently, the display means 8A and 8B display picture of display specifications matching the environmental conditions and the monitoring burden on the operator is reduced.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention provides a plant monitoring device equipped with a display means for displaying image information and/or character information on a screen. The present invention relates to a plant monitoring device and display specification control method that learns the relationship between plant operating conditions and display specifications, and automatically displays display specifications suitable for these conditions.

[Conventional technology]

As a conventionally known display device, Japanese Patent Application Laid-Open No. 62-160
491, by alternately changing the display color output to the display device and the color specified by its attributes, eliminating the flickering of characters between predetermined cycles,
There are some methods that reduce fatigue of the optic nerves of display device users.

Furthermore, in Japanese Patent Application Laid-open No. 62-5412, when a typical vibration waveform of equipment is input and input information generated depending on the operating status of the equipment is input, an output corresponding to the learning result is obtained and diagnosis is performed. A diagnostic system is disclosed that has a neuromodel that performs.

[Problem to be solved by the invention]

In the above conventional technology, CRT used for plant monitoring etc.
The brightness and darkness of the displayed color on the display screen.

Display specifications such as flashing cycles were determined at the W design stage and were fixed. Although the display color changes depending on the operating status of the plant equipment, the environment of the monitoring environment such as the brightness of the lighting where the display device is installed, the type of lighting2, the direction of the light toward the display screen and the operator, and the spectrum of the light, etc. No consideration was given to changing the display specifications to make them easier for operators to view, depending on the conditions, individual operator preferences for display specifications, and plant operating conditions.

An object of the present invention is to automatically adjust the display specifications according to the environmental conditions of the place where the display device is installed, the display specifications preferences of individual operators, and the operating conditions of the plant.

Another object of the present invention is to provide display specifications that take into consideration the preferences of the plurality of operators when the same display device is shared by a plurality of operators at the same time.

cam] The above problem is solved by a plant monitoring device that is connected to the control means and includes a display means for displaying image information and/or text information on a screen, and a control means for controlling the display means. and environmental condition input means for inputting environmental conditions such as the brightness of the place where the display means is installed, the type of illumination, the light spectrum, the direction of light, etc. Thickness.

Display specifications such as contrast can be adjusted, and the control means has a neuromodel that learns the relationship between input environmental conditions and display specifications, and controls the display specifications according to the learned knowledge. This is achieved by

The above-mentioned problem also includes an operator identification means for identifying an operator using the display means and obtaining information specific to the identified operator, and the neuromodel.

This can also be achieved by the plant monitoring device according to claim 1, which learns the relationship with the display specifications by taking into account information specific to the operator obtained in the input environmental conditions.

The above problem is also solved because the operator identification means identifies a plurality of operators and obtains unique information for each of the identified operators.
The relationship with the display specifications is learned by adding information specific to a plurality of operators obtained to the input environmental conditions, and the output obtained by adding information specific to the plurality of operators as display specifications is learned. This can also be achieved by the plant monitoring device according to claim 2, which outputs the load average display specifications.

The above problem is also solved because the environmental condition input means automatically identifies and inputs the environmental conditions in which the display means is arranged, and means is provided for connecting to the control means and inputting the plant operating status. 4. The plant according to claim 1, wherein the model learns the importance of each input, and the control means automatically displays according to display specifications suitable for the plant state at each point in time. This can also be accomplished by monitoring equipment.

The above problem is further solved by a method for controlling a screen display specification of a plant monitoring device, which includes a display means for displaying image information and/or character information on a screen, and a control means for controlling the display means. The procedure for inputting environmental conditions such as the brightness of the place where the device is installed, type of lighting, light spectrum, direction of light, etc., and the input environmental conditions and screen brightness, 9 color depth, contrast, etc. This is also achieved by including a procedure for learning the relationship between display specifications of and a procedure for controlling display specifications according to the learned knowledge.

[Effect]

The display screen has display specifications that define screen color, shading, brightness, 2-blink cycle, etc., and lines that should be displayed.

It is formed by combining image data that defines the shape of the object, etc. Preferred screen colors, shading, brightness, 9-blink cycles, etc. vary depending on individual operator preferences, environmental conditions in which the display means is placed, and the importance of the displayed content, and may vary even on the same screen. It depends on the degree of caution required.

The environmental condition input means includes the direction of light in the environment where the display means is placed, the type of light source, and the spectrum of light.

Environmental conditions such as light brightness are input to the control means.

The neuromodel of the control means performs learning by changing the synaptic load so as to output the display specifications instructed by the operator under input environmental conditions. As learning progresses, the neuromodel automatically outputs the learned display specifications when environmental conditions are input. The control means are
Since the display means is controlled based on the display specifications output by the neuromodel, the screen displayed by the display means has display specifications that match the environmental conditions.

Furthermore, when the identification code of the operator using the display means is input to the neuromodel in conjunction with the environmental conditions and the above learning is performed, the neuromodel adapts the display specifications instructed by the operator to the environmental conditions and the operation. Since the system learns in association with the identification code of the operator, the operator gives instructions. The operator's preferences were taken into consideration. Learn the (preferred) combination of display specifications that should be output. As learning progresses, the neuromodel outputs display specifications that take into account the operator's learned preferences when environmental conditions and operator identification code (for example, ID number) are input.

〔Example〕

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 shows the overall configuration of a plant monitoring device according to this embodiment, and the monitoring device includes display means such as OR, T 8 B
, large display device 8A, CRT8B, large display device i
control means 2 connected to 8A and sending display output to them;
0, a sensor 3A connected to the control means 20 and serving as an environmental condition input means for detecting and outputting the brightness of the illumination, the spectrum of the light, the direction of the light, etc.; Various codes for type and operator identification,
A keyboard 3B for inputting the operator's preferred display specifications, an ID card reader 3C as an operator identification means, a display screen database 7 connected to the control means 20, and a display screen database 7 connected to the control means 20. and a computer 5. The computer 5 is connected to the plant equipment 4, and the operating status of the plant equipment 4 and the state quantities of the plant are inputted thereto. ID card reader 3
C reads the operator's ID number and outputs the operator-specific information associated with this ID number as well.

The control means 20 includes a surface water control section 6 connected to the display means, a neuromodel 1 connected to the display control section 6, and an input conversion section 2 connected to the neuromodel 1. has been done. The computer 5 is a neuromodel 1
The display screen database 7 is connected to the display control section 6, and the front He sensor 3A, keyboard 3B, I
The D card reading device W3C is connected to the input conversion section 2.

The plant monitoring device having the above configuration operates as follows. Sensor 3A, keyboard 3B, ID card reader 3C
The input information input via the input converter 2 is converted into a signal that can be input to the neuromodel 1, and then input to the neuromodel 1. The neuromodel 1 outputs a display specification output optimal for the input conditions to the display control unit 6 based on the input information and past experience. The display control unit 6 receives display information from the display screen database 7.

Based on the input display specifications and the received display information, a display output is formed and sent to the large display bag W8A and CRT 8B. The display output to be sent out has color shading, brightness, and contrast that match the environmental conditions and the operator's preference, and forms a display screen that is easy to see for the operator.

Further, the operating state of the plant equipment 4 is input to the computer 5 and converted, and then input to the neuromodel unit, and display specifications according to the importance level in the operating state of the plant are sent to the display control unit 6. . Neuromodel 1 learns the relationship between the input information and the information it is instructed to output, but this learning involves the operator modifying the display output that matches the input conditions under certain input conditions. This is done by obtaining the display specifications (display output) to be output, and through the accumulation of this learning, the display output that matches the input conditions is automatically performed.

FIG. 2 shows one unit model IA that constitutes the neuromodel 1. Input signal X1. X2...Xo is O
It takes a value of ~1, and the synaptic load W1. , Vv' 2
...Wn shall take a value from 1 to +ω. The input Ul transmitted to the unit from the j-th input signal X is U r
= W r X + , then the total input U to the unit is U = ΣU.

becomes. The unit output Y at this time is defined as:

However, Uo is a bias.

In this embodiment, this unit model IA is arranged in a hierarchical manner as shown in FIG. 3, and includes an input layer, an intermediate layer, and an output layer. The configuration is such that an output signal from each unit model forming each layer becomes an input signal to the unit model of the next layer. In this configuration, a certain input signal 10 is given to the input layer, and the intermediate layer and The connection strength of the input section to each unit model of the output layer is adjusted by the operator of the monitoring device. As a result, the synaptic loads are corrected and learning is performed so as to obtain the desired output.

This kind of learning algorithm is called pack propagation. In this embodiment, as shown in FIG. 4, the input signals include two types of illumination brightness, the direction of light, the spectrum of light, the operating status of plant equipment, the ID number of the operator of the monitoring device, Input items and the like corresponding to the operator's preferences are set, and a numerical signal in the range of 0 to 1 is input for each item. This input passes through the neuromodel in the order of input layer → intermediate layer → output layer, and the display color is divided into 7 colors depending on the strength of the connection between each layer obtained from experience through learning, that is, the value of synaptic load. , contrast, blinking cycle, and other display specifications, and is output to the display control unit 6. The display control unit 6 generates a display screen suitable for the preferences and environmental conditions of the operator using the display device, based on input from the neuromodel 1 and display information received from the display screen database 7.

FIG. 5 shows a display screen example 12 of an individual display device such as a CRT or a large display device. With reference to this figure, an example will be described in which such a display screen is changed according to the aforementioned environmental conditions or the operator's preference. Conventionally, the valve 13 shown in the figure has been displayed in the form of figure A in FIG. 6, and has been displayed in red when fully open and blue when fully open. In this example,
For example, students learn that shape B is suitable under fluorescent lighting, and shape C is suitable under incandescent lighting, and furthermore, when the light hits the display screen from above, B. When hitting from the right, figure C1 Operator A learns that he likes figure B, operator B likes figure C, and so on. By learning in this way, it becomes possible to automatically realize the optimal display specifications for each environmental condition.

Also, the input is not 100% fluorescent light and 0% incandescent light,
Even with 80% fluorescent lighting and 20% incandescent lighting, the optimal display specifications for the input conditions can be obtained in balance with other conditions.

In this embodiment, a sensor for detecting and inputting environmental conditions is provided, but it is also possible for an operator to input required data from a keyboard without using a sensor.

When the same display screen is used by multiple operators 9, for example two operators A and B, the input signals shown in FIG. By inputting a weighting factor that takes into account the frequency of use of the display screen, each operator's preference for display specifications, etc., and learning it using a neuromodel that takes a weighted average of both, it is possible to Even if the display device is shared by operators, by inputting the ID number of each operator, a screen with the same easy-to-read display specifications is automatically output to each operator.

Furthermore, in order to take into account the importance of the operating status of plant equipment and change the display to emphasize important operating parameters at each point, operators can set important parameters for each operating status in advance, and By having the neuromodel learn according to the state of the equipment, it is possible to continuously input the state of the plant equipment into the monitoring device and automatically change the display specifications of the plant equipment according to the operating state of the plant. can.

Further, in the above embodiments, the display means that displays an image has been described, but the present invention can also be applied to display means that uses sound, light, etc.

〔Effect of the invention〕

According to the present invention, a neuromodel learns the relationship between environmental conditions, operator preferences, and preferred display specifications, so that the display screen can be automatically and quickly adjusted to match environmental conditions and individual operator preferences. In addition to being controlled, it is possible to output display specifications suitable for the conditions based on previous learning even under environmental conditions that have not been experienced before, which has the effect of reducing the monitoring burden on the operator. .

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the main configuration of an embodiment of the present invention,
Figure 2 is a conceptual diagram showing unit models that make up the neuromodel, Figure 3 is a conceptual diagram showing an example of the configuration of the neuromodel, and Figure 4 is an example of the human ability signal in the neuromodel shown in Figure 3. FIG. 5 is a plan view showing an example of a display image, and FIG. 6 is a plan view showing an example of a change in valve display. DESCRIPTION OF SYMBOLS 1... Neuro model, 3A... Environmental condition input means, 3C... Operator identification means, 8A, 8B... Display means, 20... Control means.

Claims (1)

[Scope of Claims] 1. A plant monitoring device comprising display means for displaying image information and/or character information on a screen, and control means for controlling the display means, wherein the display means is connected to the control means. An environmental condition input means is provided for inputting environmental conditions such as the brightness of the place where the device is installed, the type of lighting, the light spectrum, and the direction of the light, and the display means inputs the brightness of the screen, the color of the screen, etc. It is possible to adjust display specifications such as darkness and contrast, and the control means has a neuromodel that learns the relationship between input environmental conditions and display specifications, and controls the display specifications according to the learned knowledge. A plant monitoring device characterized by: 2. An operator identification means for identifying an operator using the display means and obtaining information specific to the identified operator;
2. The plant monitoring device according to claim 1, wherein the neuromodel learns the relationship with the display specifications by adding operator-specific information obtained to input environmental conditions. 3. The operator identification means is for identifying multiple operators and for obtaining unique information for each of the identified multiple operators, and the neuromodel is based on input environmental conditions. Learning the relationship with the display specifications by taking into account information unique to a plurality of operators, and outputting a weighted average display specification of an output obtained by taking into account information unique to the plurality of operators as a display specification. The plant monitoring device according to claim 2, characterized in that: 4. The environmental condition input means shall automatically identify and input the environmental conditions under which the display means is arranged, and shall be provided with means for connecting to the control means and inputting the plant operating status. , wherein the neuromodel learns the importance of each input, and the control means automatically displays according to display specifications suitable for the plant state at each point in time. The plant monitoring device according to any one of. 5. A method for controlling screen display specifications of a plant monitoring device, comprising a display means for displaying image information and/or character information on a screen, and a control means for controlling the display means, wherein the display means is installed in the control means. the brightness of the place
The procedure for inputting environmental conditions such as lighting type, light spectrum, light direction, etc., and the input environmental conditions and screen brightness,
A method for controlling screen display specifications for a plant monitoring device, comprising: a step of learning the relationship between display specifications such as color depth and contrast; and a step of controlling the display specifications according to the learned knowledge.