A design method and system for a human-machine interface in a nuclear power plant control room

Abstract

The present invention provides a design method for a human-machine interface in a control room of a nuclear power plant, comprising: obtaining physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator; analyzing the physiological parameters, and determining a target human-machine interface scheme from the at least two preset human-machine interface schemes according to the analysis results. Accordingly, a design system for a human-machine interface in a control room of a nuclear power plant is also provided. The target human-machine interface scheme obtained by the design method can improve the efficiency of human-machine interaction, reduce the physical load of the operator, and improve the human adaptability of the human-machine interface, thereby improving the safety of operation and management of the nuclear power plant.

Description

Technical Field

[0001] The invention relates to the technical field of nuclear power, and in particular to a design method and system for a human-machine interface in a control room of a nuclear power plant. Background Art

[0002] In the digital control room of a nuclear power plant, operators use digital workstations to complete process control and status monitoring of the nuclear power plant. The digital workstation uses the display as the main human-machine interface, providing operators with process control and display screens, alarms, procedures, trends, navigation and management functions.

[0003] The reasonable layout of the human-machine interface has a great impact on the efficiency of human-machine interaction. A bad layout may increase the probability of operator misoperation, reduce the efficiency of human-machine interaction, and increase the probability of ignoring important prompt information, which will have a negative impact on the safe operation of the nuclear power plant. For example, the unreasonable position of the alarm button indicator light will cause the operator to fail to detect high-level alarms in time; the unreasonable position of the navigation button will increase the operator's physical load and increase human errors. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a design method and system for the human-machine interface of a nuclear power plant control room in view of the above-mentioned deficiencies in the prior art, which can improve the efficiency of human-machine interaction, reduce the physical load of operators, and improve the ergonomic adaptability of the human-machine interface, thereby improving the safety of nuclear power plant operation management.

[0005] The present invention provides a design method for a human-machine interface in a control room of a nuclear power plant, comprising: obtaining physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator; analyzing the physiological parameters, and determining a target human-machine interface scheme from the at least two preset human-machine interface schemes according to the analysis results.

[0006] Preferably, the physiological parameters include electromyographic signals, and the monitored object includes a manipulation button. The step of obtaining the physiological parameters generated by the monitored object in at least two preset human-machine interface schemes monitored by the operator specifically includes: selecting the manipulation buttons arranged at the i-th position of the human-machine interface respectively, and obtaining N preset human-machine interface schemes, wherein i=1,…,N, N is a positive integer greater than 1, and the manipulation buttons include a screen search button, a screen navigation button, and a screen switching button; obtaining the electromyographic signals of the manipulation buttons in the N preset human-machine interface schemes respectively controlled by the operator in the same accident scenario, and obtaining N electromyographic signals corresponding to the N preset human-machine interface schemes.

[0007] Preferably, the physiological parameters are analyzed and a target human-machine interface scheme is determined from preset human-machine interface schemes according to the analysis results, specifically including: calculating the root mean square values ​​of N electromyographic signals respectively, and determining the preset human-machine interface scheme corresponding to the minimum root mean square value as the target human-machine interface scheme.

[0008] Preferably, the physiological parameter includes an electroencephalogram signal, and the monitored object includes an indicator light.

[0009] The method of obtaining physiological parameters generated by the monitored object in at least two preset human-machine interface schemes monitored by the operator specifically includes: selecting the j-th position of the human-machine interface to arrange the indicator lights, and obtaining M preset human-machine interface schemes, wherein j=1, ..., M, M is a positive integer greater than 1, and the indicator lights include an emergency procedure button indicator light and an alarm button indicator light; and obtaining electroencephalogram (EEG) signals of the indicator lights in the M preset human-machine interface schemes monitored by the operator in the same accident scenario, and obtaining M electroencephalogram (EEG) signals corresponding to the M preset human-machine interface schemes.

[0010] Preferably, the physiological parameters are analyzed and a target human-machine interface scheme is determined from at least two preset human-machine interface schemes according to the analysis results, specifically including: respectively calculating the first duration of the amplitude step change of M EEG signals, and determining the preset human-machine interface scheme corresponding to the minimum first duration as the target human-machine interface scheme.

[0011] Preferably, the respectively calculating the first duration of the amplitude step change of the M EEG signals specifically includes: respectively calculating the duration between the first time the amplitude of the M EEG signals fluctuates after the indicator light is triggered and the time when the indicator light is triggered; and determining the duration as the first duration of the amplitude step change of the M EEG signals.

[0012] Furthermore, the present invention also provides a design system for a human-machine interface in a control room of a nuclear power plant, comprising an acquisition device and an analysis device. The acquisition device is used to acquire physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator. The analysis device is connected to the acquisition device and is used to analyze the physiological parameters and determine a target human-machine interface scheme from the at least two preset human-machine interface schemes according to the analysis results.

[0013] Preferably, the physiological parameters include electromyographic signals, and the monitored objects include operating buttons. The acquisition device includes a first arrangement unit and a first detection unit. The first arrangement unit is used to respectively select the i-th position of the human-machine interface to arrange the operating buttons, and obtain N preset human-machine interface schemes, wherein i=1,…,N, N is a positive integer greater than 1, and the operating buttons include a screen retrieval button, a screen navigation button, and a screen switching button. The first detection unit is used to obtain the electromyographic signals of the operating buttons in the N preset human-machine interface schemes respectively controlled by the operator in the same accident scenario, and obtain N electromyographic signals corresponding to the N preset human-machine interface schemes.

[0014] Preferably, the analyzing device comprises a first calculating unit and a first determining unit. The first calculating unit is connected to the first detecting unit and is used to respectively calculate the root mean square values ​​of the N electromyographic signals. The first determining unit is connected to the first calculating unit and is used to determine that the human-machine interface scheme with the preset arrangement corresponding to the minimum root mean square value is the target human-machine interface scheme.

[0015] Preferably, the physiological parameters include electroencephalogram signals, and the monitored objects include indicator lights. The acquisition device includes a second arrangement unit and a second detection unit. The second arrangement unit is used to respectively select the j-th position of the human-machine interface to arrange the indicator lights, and obtain M preset human-machine interface schemes, wherein j=1,…,M, M is a positive integer greater than 1, and the indicator lights include emergency procedure button indicator lights and alarm button indicator lights. The second detection unit is used to obtain the electroencephalogram signals of the indicator lights in the M preset human-machine interface schemes that the operator monitors respectively in the same accident scenario, and obtain M electroencephalogram signals corresponding to the M preset human-machine interface schemes.

[0016] The analyzing device includes a second calculating unit and a second determining unit. The second calculating unit is used to respectively calculate the first duration of the amplitude step change of the M electroencephalogram signals. The second determining unit is connected to the second calculating unit and is used to determine the human-machine interface scheme with the preset arrangement corresponding to the minimum first duration as the target human-machine interface scheme.

[0017] The design method and system of the human-machine interface of the nuclear power plant control room of the present invention obtains corresponding physiological parameters through the operator's monitoring of multiple preset human-machine interface schemes, and analyzes and compares them to select the human-machine interface scheme with the best arrangement as the target human-machine interface scheme. In other words, the preset human-machine interface scheme corresponding to the physiological parameters of the operator with light physical load and rapid response is selected as the target human-machine interface scheme to improve the efficiency of human-machine interaction, reduce the physical load of the operator, and improve the human adaptability of the human-machine interface. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1A schematic flow chart of a design method for a human-machine interface in a nuclear power plant control room provided in Embodiment 1 of the present invention;

[0019] Figure 2 A schematic diagram of an electromyographic signal provided in Example 1 of the present invention;

[0020] Figure 3 A schematic diagram of a method for designing a manipulation button provided in Embodiment 1 of the present invention;

[0021] Figure 4 A schematic diagram of an electroencephalogram signal provided in Example 1 of the present invention;

[0022] Figure 5 A schematic diagram of the indicator light design method provided in Example 1 of the present invention;

[0023] Figure 6 A schematic diagram of a first duration provided by Embodiment 1 of the present invention;

[0024] Figure 7 A schematic diagram of the structure of a design system for a human-machine interface in a nuclear power plant control room provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0026] Embodiment 1:

[0027] like Figure 1 As shown, this embodiment provides a design method for a nuclear power plant control room human-machine interface, which is mainly used to guide the design of a digital human-machine interface in a nuclear power plant control room or to evaluate the design results of multiple digital human-machine interfaces. The design method for a nuclear power plant control room human-machine interface includes:

[0028] Step 101 : Acquire physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator.

[0029] In this embodiment, the operator in the control room needs to monitor and manipulate the monitored objects (such as operating buttons, indicator lights, etc.) of the digital human-machine interface. The human-machine interface is usually divided into a functional area and a monitoring information display area, wherein the monitoring information display area is located in the central area of ​​the display, and the functional area is usually located in the upper and lower areas or the two side frame areas of the display. The monitored objects in this embodiment mainly refer to the operating buttons and indicator lights in the functional area. For example, the operating buttons related to the human-machine interaction efficiency provided by the functional area include:

[0030] (1) Screen search button: a button used to provide access to the screen search list.

[0031] (2) Screen navigation button: A button used to provide quick navigation of all screens. Click this button to enter the navigation interface of all screens.

[0032] (3) Screen switching button: used to switch the previous and next pages of the screen.

[0033] The button indicators related to human-computer interaction efficiency provided in the function area include:

[0034] (1) Emergency procedure button indicator: A button indicator used to remind the operator that a certain emergency procedure has reached the execution condition. The operator is required to respond immediately after sensing that the button indicator is triggered (lit), that is, to enter the emergency procedure after clicking the button indicator.

[0035] (2) Alarm button indicator: It is used to display the number of alarms and / or the alarm color level. After the button indicator is triggered, you can click the button indicator to enter the alarm list.

[0036] Physiological parameters include electromyographic signals, electroencephalographic signals, eyeball focus position, eyeball rotation frequency, language expression, etc. Usually, the operator uses a mouse and keyboard to complete the control of the controlled object. For example, the electromyographic signals presented by the operator's forearm change amplitude and mouse operation frequency during the control process can be obtained through the detection equipment, and the operator's electroencephalographic signals, eyeball focus position, eyeball rotation frequency and other data during the monitoring process can also be obtained through the detection equipment. Examples of preset human-machine interface solutions include screen search buttons A arranged in the upper left corner and lower right corner of the human-machine interface.

[0037] Step 102: Analyze the physiological parameters, and determine a target human-machine interface solution from the at least two preset human-machine interface solutions according to the analysis result.

[0038] Optionally, the physiological parameters in this embodiment include electromyographic signals, and the monitored objects include operating buttons.

[0039] Step 101: Acquire physiological parameters generated by the monitored object in at least two preset human-machine interface schemes monitored by the operator, specifically comprising: respectively selecting the i-th position of the human-machine interface to arrange the operating buttons, and obtaining N preset human-machine interface schemes, wherein i=1,…,N, N is a positive integer greater than 1, and the operating buttons include a screen search button, a screen navigation button, and a screen switching button; and acquiring the electromyographic signals of the operating buttons in the N preset human-machine interface schemes respectively controlled by the operator in the same accident scenario, and obtaining N electromyographic signals corresponding to the N preset human-machine interface schemes.

[0040] Step 102: Analyze the physiological parameters, and determine the target human-machine interface scheme from the preset human-machine interface schemes according to the analysis results, specifically including: calculating the root mean square values ​​of N electromyographic signals respectively, and determining the preset human-machine interface scheme corresponding to the minimum root mean square value as the target human-machine interface scheme.

[0041] In this embodiment, since the screen search button, screen navigation button and screen switching button are used very frequently, their layout positions have a great influence on the human-computer interaction efficiency. Therefore, for the design of the operating button, the human-computer interaction efficiency and physiological fatigue index can be evaluated through the electromyographic ECG (electrocardiogram) signals of different layout positions. The design goal is to maximize the operator's human-computer interaction efficiency and minimize the physiological fatigue index. In other words, the operator can achieve the purpose of monitoring the controlled object with the least amount of action. For example, the propagation of the motor potential of the muscle fiber causes muscle contraction. At the same time, the propagating electrical signal causes an electric current field in the soft tissue of the human body, which shows a potential difference between the detection electrodes, that is, the electromyographic signal (such as Figure 2 As shown). In the digital control room of a nuclear power plant, operators mainly complete operations through the mouse and keyboard. Through experiments, it was found that the operator's forearm electromyographic time domain amplitude signal and change amplitude showed a positive correlation with the mouse operation frequency, that is, the greater the distance and number of times the mouse is moved, the greater the amplitude and change frequency of the operator's electromyographic signal, and the greater the root mean square value of the electromyographic signal. In the experiment, the same accident scenario (or operating procedure scenario) and the same operator were selected, and the screen retrieval buttons, screen navigation buttons, and previous and next page screen switching buttons arranged in different positions were tested, and the original electromyographic signals of the operator's forearms were recorded, and the following were obtained: Figure 2 The upper signal curve is shown in FIG. Then it is normalized (its root mean square value is taken to obtain Figure 2 The lower curve shown in FIG. 1 ) selects the preset human-machine interface scheme corresponding to the minimum root mean square value of the electromyographic signal as the target human-machine interface scheme. Specifically, Figure 3 As shown, N different positions are selected in the function area to arrange the operating buttons to form N preset human-machine interface schemes, and then the subject wears the electromyographic sensor device on the forearm, and a fixed accident scene is selected for testing. The subject executes the scene, that is, the subject starts to perform the control operation according to the operating procedures, and completes the switching of different operation screens through the screen, navigation and switch buttons of the first preset human-machine interface scheme until the procedure is completed, and the subject's continuous electromyographic data is recorded. Subsequently, the same accident scene is selected for the second preset human-machine interface scheme to test until N continuous electromyographic data are obtained for the N preset human-machine interface schemes, and then the preset human-machine interface scheme corresponding to the minimum root mean square value of the electromyographic data is selected as the target human-machine interface scheme.

[0042] Optionally, the physiological parameters include electroencephalogram data, and the monitored object includes an indicator light.

[0043] Step 101: Acquire physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator, specifically comprising: respectively selecting indicator lights at the j-th position of the human-machine interface to obtain M preset human-machine interface schemes, wherein j=1,…,M, M is a positive integer greater than 1, and the indicator lights include an emergency procedure button indicator light and an alarm button indicator light; acquire electroencephalogram (EEG) signals of the indicator lights in the M preset human-machine interface schemes monitored by the operator in the same accident scenario to obtain M EEG signals corresponding to the M preset human-machine interface schemes.

[0044] Step 102: Analyze physiological parameters, and determine a target human-machine interface scheme from at least two preset human-machine interface schemes based on the analysis results, specifically including: respectively calculating the first duration of the amplitude step change of M EEG signals, and determining the preset human-machine interface scheme corresponding to the minimum first duration as the target human-machine interface scheme.

[0045] In this embodiment, the position and arrangement of the emergency procedure button indicator light or the alarm button indicator light in the human-machine interface should enable the operator to quickly choose to enter the relevant procedure after discovering that the indicator light is triggered (the light is on). The color and arrangement of the emergency procedure button indicator light or the alarm button indicator light are evaluated and optimized through EEG signals. Since EEG is used to measure and analyze voltage fluctuation signals caused by ionic currents in brain neurons, electrodes are arranged on the scalp positions corresponding to specific nerve centers in the cerebral cortex, and the discharge of neurons in various regions over a period of time is recorded. A dynamic curve that changes with time is plotted to obtain an EEG. The EEG can reflect the activity of the cerebral cortex over a period of time, such as Figure 3 The schematic diagram of EEG signals shown in the figure shows that when the brain is stimulated by sound, light, etc., induced EEG signals will occur. This type of signal has a clear relationship with external stimuli, and the potential waveforms obtained by repeated stimulation are basically the same. When the indicator light of the emergency procedure button lights up (triggered), it means that the power plant has entered an emergency state of an accident. After experiments, it was found that the amplitude of the operator's EGG EEG signal will change significantly after the indicator light is observed to light up. The earlier the amplitude step time is from the moment when the indicator light of the emergency procedure button lights up, the more timely the operator can detect the emergency state. In the experiment, the same scene and the same subjects were selected, and the emergency procedure indicator lights arranged in different positions and colors were tested, and their EEG signals were recorded. The design with the first change in vibration amplitude was taken as the optimal design. Figure 4The EEG signals at different EEG measurement points are shown in the figure. The frontal lobe area signal should be selected as the best. The design goal is to enable the operator to be aware of or perceive the triggering of the alarm button indicator or the emergency procedure button indicator in the shortest time. Specifically, Figure 5 As shown, M different positions are selected in the functional area to arrange indicator lights (or button indicator lights) to form M preset human-machine interface schemes. Then, the subjects wear the EEG device and select a fixed accident scene for testing. For the first preset human-machine interface scheme, after a short period of 3 minutes of normal monitoring after the scene starts, the alarm button indicator lights up, 1 minute later, the emergency procedure button indicator lights up, and the accident scene ends after 30 seconds. After the scene ends, the EEG data is recorded and saved, and the frontal lobe EEG signal is extracted. Subsequently, the same accident scene is selected for the second preset human-machine interface scheme for testing until M frontal lobe EEG signals are obtained for the M preset human-machine interface schemes, and then the preset human-machine interface scheme corresponding to the first change in amplitude is selected as the target human-machine interface scheme.

[0046] Optionally, the first duration of the amplitude step change of M EEG data is calculated respectively, specifically including: calculating the time between the first time the amplitude of the M EEG signals fluctuates after the indicator light is triggered and the time when the indicator light is triggered; and determining the time as the first duration of the amplitude step change of the M EEG signals.

[0047] In this embodiment, Figure 6 As shown in the figure, the first duration refers to the moment (t 1 ) and the alarm button indicator light triggering time (t 0 ), when the first duration is the smallest, it indicates that the operator perceives the triggering status of the indicator light the fastest, so as to facilitate the subsequent rapid processing of alarms or emergency operations.

[0048] The design method of the human-machine interface of the nuclear power plant control room of this embodiment measures the human physiological parameters of the operator when interacting with multiple preset human-machine interfaces to analyze and evaluate the rationality of the layout of the human-machine interface. After multiple experiments, the optimal layout and design of the human-machine interface are guided according to the experimental results, which effectively reduces the cognitive load of the user when operating the human-machine interface, improves the human-machine interaction efficiency and situation awareness level, thereby improving the human-machine interaction efficiency, reducing the physical load of the operator, and improving the human adaptability of the human-machine interface, thereby improving the safety of nuclear power plant operation management.

[0049] Embodiment 2:

[0050] This embodiment provides a design system for a human-machine interface of a nuclear power plant control room, including an acquisition device 21 and an analysis device 22 .

[0051] The acquisition device 21 is used to acquire the physiological parameters generated by the monitored object in at least two preset human-machine interface schemes monitored by the operator. The analysis device 22 is connected to the acquisition device 21 and is used to analyze the physiological parameters and determine the target human-machine interface scheme from the at least two preset human-machine interface schemes according to the analysis results.

[0052] Optionally, the physiological parameter includes electromyographic data, and the monitored object includes a manipulation button.

[0053] The acquisition device includes a first arrangement unit and a first detection unit. The first arrangement unit is used to respectively select the i-th position of the human-machine interface to arrange the operating button, and obtain N preset human-machine interface schemes, wherein i=1,…,N, N is a positive integer greater than 1, and the operating button includes a screen search button, a screen navigation button, and a screen switching button. The first detection unit is used to obtain the electromyographic signals of the operating buttons in the N preset human-machine interface schemes respectively controlled by the operator in the same accident scenario, and obtain N electromyographic signals corresponding to the N preset human-machine interface schemes.

[0054] Optionally, the analyzing device includes a first calculating unit and a first determining unit.

[0055] The first calculation unit is connected to the first detection unit and is used to calculate the root mean square values ​​of the N electromyographic signals respectively. The first determination unit is connected to the first calculation unit and is used to determine the human-machine interface scheme with the preset arrangement corresponding to the minimum root mean square value as the target human-machine interface scheme.

[0056] Optionally, the physiological parameters include electroencephalogram data, and the monitored object includes an indicator light.

[0057] The acquisition device includes a second arrangement unit and a second detection unit.

[0058] The second arrangement unit is used to select the j-th position of the human-machine interface to arrange the indicator light, and obtain M preset human-machine interface schemes, where j=1,…,M, M is a positive integer greater than 1, and the indicator light includes an emergency procedure button indicator light and an alarm button indicator light.

[0059] The second detection unit is used to obtain the electroencephalogram signals of the operator respectively monitoring the indicator lights in M ​​preset human-machine interface schemes in the same accident scenario, and obtain M electroencephalogram signals corresponding to the M preset human-machine interface schemes.

[0060] Optionally, the analyzing device includes a second calculating unit and a second determining unit.

[0061] The second calculation unit is used to calculate the first duration of the amplitude step change of the M electroencephalogram signals respectively.

[0062] The second determining unit is connected to the second calculating unit, and is used to determine the human-machine interface scheme of the preset arrangement corresponding to the minimum first duration as the target human-machine interface scheme.

[0063] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present invention, but the present invention is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also considered to be within the scope of protection of the present invention.

Claims

1. A design method for a human-machine interface in a nuclear power plant control room, characterized in that: include: Acquiring physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator; Analyzing the physiological parameters, and determining a target human-machine interface scheme from the at least two preset human-machine interface schemes according to the analysis results; The target human-machine interface scheme is a preset human-machine interface scheme corresponding to the operator's physiological parameters of light physical load and quick response; Physiological parameters include electromyographic signals, and monitored objects include operating buttons. The step of obtaining physiological parameters generated by the monitored object in at least two preset human-machine interface schemes monitored by the operator specifically includes: Select the i-th position of the human-machine interface to arrange the operation button respectively, and obtain N preset human-machine interface schemes, wherein i=1, ..., N, N is a positive integer greater than 1, and the operation button includes a screen search button, a screen navigation button, and a screen switching button; Acquire electromyographic signals of the operating buttons in N preset human-machine interface schemes respectively controlled by the operator in the same accident scenario, and obtain N electromyographic signals corresponding to the N preset human-machine interface schemes; and / or, Physiological parameters include EEG signals, and monitored objects include indicator lights. The step of obtaining physiological parameters generated by the monitored object in at least two preset human-machine interface schemes monitored by the operator specifically includes: Select the j-th position of the human-machine interface to arrange the indicator light, and obtain M preset human-machine interface schemes, where j=1, ..., M, M is a positive integer greater than 1, and the indicator light includes an emergency procedure button indicator light and an alarm button indicator light; Obtain the electroencephalogram signals of the operator respectively monitoring the indicator lights in M ​​preset human-machine interface schemes in the same accident scenario, and obtain M electroencephalogram signals corresponding to the M preset human-machine interface schemes.

2. The design method of the human-machine interface of the nuclear power plant control room according to claim 1 is characterized in that: The step of analyzing the physiological parameters and determining a target human-machine interface solution from preset human-machine interface solutions according to the analysis results specifically includes: The root mean square values ​​of the N electromyographic signals are calculated respectively, and the human-machine interface scheme of the preset arrangement corresponding to the minimum root mean square value is determined as the target human-machine interface scheme.

3. The design method of the human-machine interface of the nuclear power plant control room according to claim 1 is characterized in that: The step of analyzing the physiological parameters and determining a target human-machine interface scheme from at least two preset human-machine interface schemes according to the analysis results specifically includes: The first durations of the amplitude step changes of the M electroencephalogram signals are calculated respectively, and the human-machine interface scheme with the preset arrangement corresponding to the minimum first duration is determined as the target human-machine interface scheme.

4. The design method of the human-machine interface of the nuclear power plant control room according to claim 3 is characterized in that: The first duration of the amplitude step change of the M electroencephalogram signals is calculated respectively, specifically comprising: Calculate the duration between the first time the amplitude of the M EEG signals fluctuates after the indicator light is triggered and the time when the indicator light is triggered; The duration is determined as the first duration of the amplitude step change of the M electroencephalogram signals.

5. A design system for the human-machine interface of a nuclear power plant control room, characterized in that: comprising an acquisition device and an analysis device, an acquisition device, for acquiring physiological parameters generated by a monitored object in at least two preset human-machine interface schemes monitored by an operator, An analyzing device, connected to the acquiring device, for analyzing the physiological parameters and determining a target human-machine interface scheme from at least two preset human-machine interface schemes according to the analysis results; The target human-machine interface scheme is a preset human-machine interface scheme corresponding to the operator's physiological parameters of light physical load and quick response; Physiological parameters include electromyographic signals, and monitored objects include operating buttons. The acquisition device includes a first arrangement unit and a first detection unit, The first arrangement unit is used to respectively select the i-th position of the human-machine interface to arrange the operation button, and obtain N preset human-machine interface schemes, wherein i=1, ..., N, N is a positive integer greater than 1, and the operation button includes a screen search button, a screen navigation button, and a screen switching button. The first detection unit is used to obtain the electromyographic signals of the operating buttons in N preset human-machine interface schemes respectively controlled by the operator in the same accident scenario, and obtain N electromyographic signals corresponding to the N preset human-machine interface schemes; and / or, Physiological parameters include EEG signals, and monitored objects include indicator lights. The acquisition device includes a second arrangement unit and a second detection unit, The second arrangement unit is used to respectively select the j-th position of the human-machine interface to arrange the indicator light, and obtain M preset human-machine interface schemes, wherein j=1, ..., M, M is a positive integer greater than 1, and the indicator light includes an emergency procedure button indicator light and an alarm button indicator light, The second detection unit is used to obtain the electroencephalogram signals of the operator respectively monitoring the indicator lights in M ​​preset human-machine interface schemes in the same accident scenario, and obtain M electroencephalogram signals corresponding to the M preset human-machine interface schemes.

6. The design system of the human-machine interface of the nuclear power plant control room according to claim 5, characterized in that: The analyzing device comprises a first calculating unit and a first determining unit, a first calculation unit, connected to the first detection unit, and configured to calculate the root mean square values ​​of the N electromyographic signals respectively; The first determining unit is connected to the first calculating unit, and is used to determine the human-machine interface scheme with the preset arrangement corresponding to the minimum root mean square value as the target human-machine interface scheme.

7. The design system of the human-machine interface of the nuclear power plant control room according to claim 5 or 6, characterized in that: The analyzing device comprises a second calculating unit and a second determining unit, The second calculation unit is used to calculate the first duration of the amplitude step change of the M electroencephalogram signals respectively. The second determining unit is connected to the second calculating unit, and is used to determine the human-machine interface scheme of the preset arrangement corresponding to the minimum first duration as the target human-machine interface scheme.

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