CN113397568B - Setting of engineering machinery operating force range and evaluation method of driver operation fatigue degree - Google Patents
Setting of engineering machinery operating force range and evaluation method of driver operation fatigue degree Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/18—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state for vehicle drivers or machine operators
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7225—Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation
Abstract
The invention discloses a method for setting the operating force range of engineering machinery and evaluating the operation fatigue of a driver, belonging to the technical field of engineering machinery operating force setting. The testee manipulates the components under a set operating force, including: collecting subjective fatigue data of a tested person according to a set time interval; collecting myoelectric signals fed back by muscles of a tested person; data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained; the range of operating forces of the component is determined based on subjective fatigue data and muscle activation values of all subjects. Based on the collected subjective fatigue data and muscle activation degree values of all testees, the time for starting fatigue when a driver manipulates the component is obtained and is used for evaluating the change condition of the working fatigue degree of the driver. From the perspective of a user, a reasonable range of the operating force of the component is defined, and meanwhile, the problem of quantitative evaluation of the operating fatigue degree is solved.
Description
Technical Field
The invention belongs to the technical field of engineering machinery operating force setting, and particularly relates to a setting of an engineering machinery operating force range and an evaluation method of driver operation fatigue.
Background
With the wide application and deep development of mechanical engineering and ergonomic, more and more system designs need to consider many factors such as safety, comfort, high efficiency, and the like, and applications and evaluation in fatigue, comfort, safety, and the like are also widely paid attention. The fatigue state of the human-computer system operator not only affects the working efficiency, but also affects the physical and psychological health of the operator, so that factors such as fatigue control become more of concern, and the testing and evaluation of the working fatigue become very important design requirements of the system design, and are key problems for realizing the optimal matching among the human, the machine and the environment.
The manipulation fatigue is uncomfortable, refers to subjective feeling of an operator in a certain working time, influences the physical state of the operator, and objectively loses the normal learning, activity or working capacity of the operator under the same condition. Fatigue research is very important for human engineering research, and is to combine physiological and psychological related knowledge, and to research the work fatigue and recovery problems of operators from the viewpoint of improving production efficiency, so as to reasonably exert the capability of operators and exert high efficiency in the production process.
The recommended value of the national standard on the component operating force is proposed from the angles of safety, mechanical structure and the like, and the comfort of operation is not considered, so that the provided reference value is larger, the human engineering is not met in actual use, and muscle fatigue is easily caused; most of technical researches on manipulation fatigue adopt subjective evaluation or fuzzy analysis methods to judge the fatigue degree, so that the manipulation fatigue degree cannot be objectively measured, and a more visual, accurate and credible detection mode and means are lacked; and most of the experimental operations are relatively ideal experimental operations performed in a laboratory, and as an ergonomic research object is a human-machine-environment system, the experimental laboratory neglects the influence of the external environment on driving behaviors and fatigue degree, and the experimental laboratory has one-sided performance.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method for setting the operating force range of engineering machinery and evaluating the working fatigue of a driver, and from the perspective of a user, the reasonable range of the operating force of a part is defined, and meanwhile, the problem of quantitative evaluation of the operating fatigue is solved.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, there is provided a method for setting an operating force range of a component of a construction machine, the component being manipulated by a human subject under a set operating force, comprising: collecting subjective fatigue data of a tested person according to a set time interval; collecting myoelectric signals fed back by muscles of a tested person; data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained; the range of operating forces of the component is determined based on subjective fatigue data and muscle activation values of all subjects.
Further, the data preprocessing is performed on the collected electromyographic signals to obtain the muscle activation degree of the tested person under the set operation force, including: preprocessing data of the collected electromyographic signals; carrying out data filtering on the preprocessed electromyographic signals through a low-pass filter and solving the root mean square value of the electromyographic signals; based on the root mean square value of the electromyographic signals and the root mean square value of the maximum autonomous contraction of the muscle, the muscle activation degree is obtained:
where Act represents the degree of muscle activation, RMS represents the root mean square value of the electromyographic signal, and MVC represents the root mean square value of the maximum voluntary contraction of the muscle.
Further, the data preprocessing includes: the electromyographic signals were subjected to 50Hz notch, 30Hz zero phase shift high pass filtering and full wave rectification.
Further, the operation force range of the component is determined based on the collected subjective fatigue data and muscle activation degree of all the testees, specifically: based on the obtained muscle activation degree, the fatigue degree of the driver under different working conditions is analyzed, and the method comprises the following steps: intercepting different electromyographic signals of all testees respectively to obtain average values of muscle activation degrees of all testees under different operation forces; based on the average value of the muscle activation degrees of all the testees under different operation forces, the increase rate of the muscle activation degrees is obtained, the increase rate of the muscle activation degrees is used as a key index, and the subjective fatigue data of the testees are combined to determine the operation force range of the component.
In a second aspect, a method for evaluating working fatigue of a driver is provided, including: determining an operating force range of a component based on the setting method of the operating force range of the component of the construction machine according to the first aspect; setting an operating force of the component based on the determined operating force range; collecting subjective fatigue data of a tested person when the tested person manipulates the component under a set operating force according to a set time interval; collecting myoelectric signals fed back by muscles when a tested person manipulates the component under a set operating force; data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained; based on the collected subjective fatigue data and muscle activation degree values of all testees, the time for starting fatigue when a driver manipulates the component is obtained and is used for evaluating the change condition of the working fatigue degree of the driver.
Further, the data processing is performed on the collected electromyographic signals to obtain the muscle activation degree of the tested person under the set operation force, including: preprocessing data of the collected electromyographic signals; carrying out data filtering on the preprocessed electromyographic signals through a low-pass filter and solving the root mean square value of the electromyographic signals; based on the root mean square value of the electromyographic signals and the root mean square value of the maximum autonomous contraction of the muscle, the muscle activation degree is obtained:
where Act represents the degree of muscle activation, RMS represents the root mean square value of the electromyographic signal, and MVC represents the root mean square value of the maximum voluntary contraction of the muscle.
Further, the data preprocessing includes: the electromyographic signals were subjected to 50Hz notch, 30Hz zero phase shift high pass filtering and full wave rectification.
Further, the components include a steering wheel, a handle and a foot pedal of the original vehicle, and a steering wheel, a handle and a foot pedal of the model machine.
Further, based on the collected subjective fatigue data and muscle activation degree values of all the testees, the time for starting to fatigue when the driver operates the component is obtained, and the method is used for evaluating the change condition of the working fatigue degree of the driver and comprises the following steps: based on the data of the original vehicle test, the average time of the fatigue degree of the original vehicle test is calculated, and the change condition of the operation fatigue degree of a driver is estimated by comparing the time of starting to fatigue the original vehicle and the sample vehicle driven by the driver, wherein a specific calculation formula is as follows:
wherein P represents the fatigue starting time extension rate of the driver;
representing the average time for the Act value to reach fatigue in the prototype test; />
Representing the average time for the Act value to reach fatigue in the original vehicle test;
wherein T is i Representing the time for the Act value to reach fatigue when the ith sample is subjected to prototype test; n represents the number of test samples;
wherein T is j The time for the Act value to reach fatigue when the jth sample was subjected to the original vehicle test is shown.
Further, the time to start fatigue is determined by the corresponding time when the rate of increase in the degree of muscle activation is mutated.
Compared with the prior art, the invention has the beneficial effects that:
(1) The method comprises the steps of acquiring subjective fatigue data of a tested person and myoelectric signals fed back by muscles of the tested person for data processing, acquiring the muscle activation degree of the tested person under set operation force, and further determining the operation force range of a component; from the perspective of a user, the control resistance range of the key component is defined, a reference is provided for component operation force setting, and the problem that national standard setting is wide and man-machine design cannot be effectively guided is solved;
(2) According to the invention, the operating force range of the component is reasonably set, and meanwhile, based on subjective fatigue data of a tested person and myoelectric signals fed back by muscles of the tested person, subjective and objective evaluation of fatigue of engineering machinery drivers in the operation process is realized, and the problem of quantitative evaluation of the operating fatigue is solved;
(3) According to the invention, the real vehicle live-action is adopted for verification and evaluation, so that the defect that influence factors such as external environment and the like are ignored in a relatively ideal laboratory environment in the prior art is overcome, the experimental result is more authentic and reliable, and the unrealism and inaccuracy of laboratory tests are made up.
Drawings
FIG. 1 is a schematic flow chart of a method for setting an operating force range of an engineering machine according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an experimental procedure for setting the operating force range in an embodiment of the present invention;
FIG. 3 is a schematic flow chart of data analysis of electromyographic signals in an embodiment of the invention;
FIG. 4 is a schematic flow chart of a method for evaluating fatigue of a driver operation according to an embodiment of the present invention;
FIG. 5 is a block diagram of a system for evaluating driver work fatigue in an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
Embodiment one:
a method for setting the operating force range of a component of engineering machinery, wherein a tested person operates the component under the set operating force comprises the following steps: collecting subjective fatigue data of a tested person according to a set time interval; collecting myoelectric signals fed back by muscles of a tested person; data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained; the range of operating forces of the component is determined based on subjective fatigue data and muscle activation values of all subjects.
The data preprocessing is carried out on the collected electromyographic signals to obtain the muscle activation degree of a tested person under the set operation force, and the data preprocessing comprises the following steps: preprocessing data of the collected electromyographic signals; carrying out data filtering on the preprocessed electromyographic signals through a low-pass filter and solving the root mean square value of the electromyographic signals; based on the root mean square value of the electromyographic signals and the root mean square value of the maximum autonomous contraction of the muscle, the muscle activation degree is obtained:
where Act represents the degree of muscle activation, RMS represents the root mean square value of the electromyographic signal, and MVC represents the root mean square value of the maximum voluntary contraction of the muscle. The data preprocessing comprises the following steps: the electromyographic signals were subjected to 50Hz notch, 30Hz zero phase shift high pass filtering and full wave rectification.
Based on the collected subjective fatigue data and muscle activation degree of all the testees, the operating force range of the component is determined, specifically: based on the obtained muscle activation degree, the fatigue degree of the driver under different working conditions is analyzed, and the method comprises the following steps: intercepting different electromyographic signals of all testees respectively to obtain average values of muscle activation degrees of all testees under different operation forces; based on the average value of the muscle activation degrees of all the testees under different operation forces, the increase rate of the muscle activation degrees is obtained, the increase rate of the muscle activation degrees is used as a key index, and the subjective fatigue data of the testees are combined to determine the operation force range of the component.
As shown in fig. 1 to 3, in this example, experiments were designed with the operation force as an independent variable and subjective evaluation values and myoelectric signal data as dependent variables. The method is mainly divided into two parts, including laboratory experiments and real vehicle verification experiments. The subjective data is used for reducing the comfort range, the surface myoelectricity is combined for carrying out long-time dynamic fatigue strength test, the comfort value of the operation force is accurately determined, and then the real vehicle is combined with the real operation environment for verification.
The method mainly comprises the steps of developing and researching parts such as a steering wheel, a handle, a pedal and the like which are frequently used by a user, simulating the operation force of a main operation part of engineering machinery by means of an operation force simulation test system, and researching the influence of the operation force on the work efficiency of the parts by adopting a method combining objective experiments and subjective evaluation, so that the design requirement of the operation force of the parts is provided, and the fatigue degree of the user is reduced.
The proposed operating force is applied to an actual vehicle, a brand new model machine is manufactured, a laboratory is walked out, and the operation fatigue degree change condition of a driver is verified and evaluated through a fatigue degree comparison experiment of the model machine of the new and old scheme in combination with the influence of the operation environment on the driver.
1. Preparation before experiment: preparation before experiments were performed according to the contents of table 1:
table 1 preparation and requirement of experiments
2. Experimental procedure
(1) Operational force test range determination
a) Firstly, preliminarily determining the operating force range of a main component by researching the setting range of the related component operating force related to the existing products (including competitive products), standards, documents and the like;
b) Then, performing an operation force range reduction experiment, and collecting subjective evaluation values of a tested person (namely a driver operating engineering machinery) on different operation forces;
c) And (3) reducing the operating force testing range through preliminary data analysis, and taking the operating force testing range as a formal experiment operating force testing range.
(2) Start the experiment
Firstly, introducing an experimental purpose, an experimental process and related requirements to a tested person, enabling the tested person to train and solve possible problems in the process of the tested person, and starting a formal test after the tested person is fully familiar with the whole experiment;
removing the skin by a hair scraping knife and repeatedly wiping the skin at and near the placement point of the myoelectric sensor by an alcohol cotton ball to remove greasy dirt and necrotic horny layer on the surface of the skin;
thirdly, attaching the sensor by using double-sided adhesive tape, wherein the electrode placement point is the most raised position of the muscle and the abdomen, recording a test channel corresponding to each muscle, taking one tested as an example, and the channel corresponding to the muscle group is shown in Table 2;
TABLE 2 muscle groups corresponding to the main manipulating members
And fourthly, calibrating each muscle group according to a muscle maximum autonomous contraction calibration program. Before calibration, each subject needs to perform a warm-up exercise, including stretching exercise, hypoxia exercise, etc., for 5-10 minutes. When the calibration action is carried out, the muscle of the tested person is required to gradually exert force, the maximum exerting force degree is reached after 3-5 seconds, the test person is kept for 3 seconds, and the test person is calm within 3 seconds; repeating the calibration action of each muscle for three times, and resting for 60 seconds between each action;
fifthly, the tested person keeps sitting posture, the left and right and up and down positions of the seat are adjusted to enable the left and right positions of the seat and the tested part to be consistent with the specified initial positions, and the front and back positions of the seat are adjusted to enable the front and back distance between the seat and the tested part to be comfortable and the seat to be fixed;
sixthly, after the testee is familiar with the action of the control component, the component is controlled at a normal speed under a set operating force, the testee reports a subjective fatigue value (the Borg scale in the comparison table 1) once every 1 minute, and the control is stopped after 5 minutes;
and seventhly, resting the tested person for 10 minutes, changing the operation force, and repeating the fifth step until all the operation force test values to be tested are completely tested.
Before analyzing the surface electromyographic signals, the 5min electromyographic signals collected during the experiment need to be processed.
The data is first preprocessed. Mainly comprises the following steps: (1) 50Hz notch, removing power frequency interference; (2) 30Hz zero phase shift high pass filtering to remove motion artifacts; (3) Full wave rectification takes the absolute value of the signal, and the negative half axis of the signal can turn to the positive half axis. And then carrying out data filtering on the preprocessed signals through a low-pass filter and solving a root mean square value. And finally, carrying out data normalization processing, and comparing the RMS value of the electromyographic signals obtained in the experiment with the root mean square value of the maximum autonomous contraction of the muscle to obtain the muscle activation degree (Act), wherein the muscle activation degree (Act) is shown in a formula (1).
After the muscle activation degree is obtained, the fatigue degree of a driver under different working conditions can be analyzed, and the larger the Act value is, the more fatigue the muscle is indicated. Myoelectricity data of all different muscles tested are respectively intercepted, and the Act average value of each muscle under different resistances is obtained. In the data analysis process, correlation and data validity are judged by adopting a variance analysis method.
The fatigue sense is slowly increased along with the increase of the set value of the operation force, if the fatigue sense suddenly increases greatly, the fatigue sense shows that the muscle is obviously tired in the operation process, and therefore, the Act value increasing rate is selected as a key index for judging the fatigue of the muscle in the data analysis process. Therefore, in this embodiment, the "inflection point" is used to determine the experimental result, that is, the Act value increasing rate is selected as an index, and the increasing rate and subjective evaluation data are combined to finally give the setting range of the optimal operation force of the measured component.
In the embodiment, subjective fatigue data of a tested person and myoelectric signals fed back by muscles of the tested person are collected for data processing, and the muscle activation degree of the tested person under set operation force is obtained so as to determine the operation force range of the component; from the perspective of a user, the control resistance range of the key component is defined, a reference is provided for component operation force setting, and the problem that national standard setting is wide and man-machine design cannot be effectively guided is solved.
Embodiment two:
as shown in fig. 4 and fig. 5, based on the method for setting the operating force range of the component of the engineering machinery in the first embodiment, the present embodiment provides a method for evaluating the fatigue degree of the operation of the driver, selecting a typical product and making a new prototype, that is, changing the operating force set value of the main operating component in the cab, performing the original vehicle and prototype test by adopting a method similar to the laboratory experiment in the first embodiment, and collecting subjective evaluation data and myoelectricity data; comprising the following steps: determining an operating force range of a component based on the setting method of the operating force range of the component of the construction machine according to the first embodiment; setting an operating force of the component based on the determined operating force range; collecting subjective fatigue data of a tested person when the tested person manipulates the component under a set operating force according to a set time interval; collecting myoelectric signals fed back by muscles when a tested person manipulates the component under a set operating force; data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained; based on the collected subjective fatigue data and muscle activation degree values of all testees, the time for starting fatigue when a driver manipulates the component is obtained and is used for evaluating the change condition of the working fatigue degree of the driver.
Data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained, which comprises the following steps: preprocessing data of the collected electromyographic signals; carrying out data filtering on the preprocessed electromyographic signals through a low-pass filter and solving the root mean square value of the electromyographic signals; based on the root mean square value of the electromyographic signals and the root mean square value of the maximum autonomous contraction of the muscle, the muscle activation degree is obtained:
where Act represents the degree of muscle activation, RMS represents the root mean square value of the electromyographic signal, and MVC represents the root mean square value of the maximum voluntary contraction of the muscle. The data preprocessing comprises the following steps: the electromyographic signals were subjected to 50Hz notch, 30Hz zero phase shift high pass filtering and full wave rectification. The components comprise a steering wheel, a handle and a pedal of the original vehicle, and a steering wheel, a handle and a pedal of the model machine. Based on the collected subjective fatigue data and muscle activation degree values of all testees, the time for starting to fatigue when a driver manipulates a part is obtained, and the time is used for evaluating the change condition of the working fatigue degree of the driver, and the method comprises the following steps:
based on the data of the original vehicle test, calculating the average time of the fatigue degree of the original vehicle test, evaluating the change condition of the working fatigue degree of the driver by comparing the time of starting the fatigue of the original vehicle and the sample vehicle driven by the driver, wherein the time of starting the fatigue is determined by the corresponding time when the growth rate of the muscle activation degree is suddenly changed,
the specific calculation formula is as follows:
wherein P represents the fatigue starting time extension rate of the driver;
representing the average time for the Act value to reach fatigue in the prototype test; />
Representing the average time for the Act value to reach fatigue in the original vehicle test;
wherein T is i Representing the time for the Act value to reach fatigue when the ith sample is subjected to prototype test; n represents the number of test samples;
wherein T is j The time for the Act value to reach fatigue when the jth sample was subjected to the original vehicle test is shown.
According to the embodiment, the operating force range of the component is reasonably set, and meanwhile, subjective and objective evaluation of the fatigue degree of an engineering machinery driver in the operation process is realized based on subjective fatigue data of a tested person and myoelectric signals fed back by muscles of the tested person, so that the problem of quantitative evaluation of the operating fatigue degree is solved; the method has the advantages that the real vehicle live-action is adopted for verification and evaluation, the defect that the influence factors such as the external environment are ignored in the relatively ideal laboratory environment in the prior art is overcome, the experimental result is more real and reliable, and the unrealism and inaccuracy of laboratory tests are overcome.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and variations could be made by those skilled in the art without departing from the technical principles of the present invention, and such modifications and variations should also be regarded as being within the scope of the invention.
Claims (2)
1. A method for evaluating the working fatigue of a driver is characterized by comprising the following steps:
determining the operating force range of the component based on a setting method of the operating force range of the component of the engineering machine;
setting an operating force of the component based on the determined operating force range;
collecting subjective fatigue data of a tested person when the tested person manipulates the component under a set operating force according to a set time interval;
collecting myoelectric signals fed back by muscles when a tested person manipulates the component under a set operating force;
data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained;
based on the collected subjective fatigue data and muscle activation degree values of all testees, obtaining the time for starting fatigue when a driver manipulates a part, and evaluating the change condition of the working fatigue degree of the driver;
the method for setting the operating force range of the engineering machinery part comprises the following steps: the testee manipulates the components under a set operating force,
collecting subjective fatigue data of a tested person according to a set time interval;
collecting myoelectric signals fed back by muscles of a tested person;
data processing is carried out on the collected electromyographic signals, and the muscle activation degree of the tested person under the set operation force is obtained;
determining an operating force range of the component based on subjective fatigue data and muscle activation values of all subjects;
the method for preprocessing the data of the collected electromyographic signals to obtain the muscle activation degree of the tested person under the set operation force comprises the following steps:
preprocessing data of the collected electromyographic signals;
carrying out data filtering on the preprocessed electromyographic signals through a low-pass filter and solving the root mean square value of the electromyographic signals;
based on the root mean square value of the electromyographic signals and the root mean square value of the maximum autonomous contraction of the muscle, the muscle activation degree is obtained:
wherein Act represents the degree of muscle activation, RMS represents the root mean square value of the electromyographic signal, MVC represents the root mean square value of the maximum voluntary contraction of the muscle;
the data preprocessing comprises the following steps: carrying out 50Hz notch, 30Hz zero phase shift high-pass filtering and full-wave rectification on the electromyographic signals;
the method comprises the steps of determining the operating force range of a part based on the subjective fatigue data and the muscle activation degree of all the collected testees, wherein the operating force range is specifically as follows:
based on the obtained muscle activation degree, the fatigue degree of the driver under different working conditions is analyzed, and the method comprises the following steps: intercepting different electromyographic signals of all testees respectively to obtain average values of muscle activation degrees of all testees under different operation forces;
based on the average value of the muscle activation degrees of all the testees under different operation forces, the increase rate of the muscle activation degrees is obtained, the increase rate of the muscle activation degrees is used as a key index, and the subjective fatigue data of the testees are combined to determine the operation force range of the component;
based on the collected subjective fatigue data and muscle activation degree values of all testees, the time for starting to fatigue when a driver operates a part is obtained, and the method is used for evaluating the change condition of the working fatigue degree of the driver and comprises the following steps:
based on the data of the original vehicle test, the average time of the fatigue degree of the original vehicle test is calculated, and the change condition of the operation fatigue degree of a driver is estimated by comparing the time of starting to fatigue the original vehicle and the sample vehicle driven by the driver, wherein a specific calculation formula is as follows:
wherein P represents the fatigue starting time extension rate of the driver;
representing the average time for the Act value to reach fatigue in the prototype test; />
Representing the average time for the Act value to reach fatigue in the original vehicle test;
wherein T is i Representing the time for the Act value to reach fatigue when the ith sample is subjected to prototype test; n represents the number of test samples;
wherein T is j The time for the Act value to reach fatigue when the jth sample is subjected to the original vehicle test is represented;
the time to start fatigue is determined by the corresponding time when the rate of increase in the degree of muscle activation is mutated.
2. The method for evaluating the working fatigue of a driver according to claim 1, wherein the parts include a steering wheel, a handle and a foot pedal of an original vehicle, a steering wheel, a handle and a foot pedal of a prototype vehicle.
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| CN103892847A (en) * | 2013-12-25 | 2014-07-02 | 北京师范大学 | Portable muscle isotonic contraction power curve testing system |
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