CN111122010A

CN111122010A - Engineering constructor fatigue detection method based on safety helmet

Info

Publication number: CN111122010A
Application number: CN202010019909.7A
Authority: CN
Inventors: 李巍; 衣建妮; 郭志戎; 侯园园; 李江
Original assignee: Zhengzhou Railway Vocational and Technical College
Current assignee: Zhengzhou Railway Vocational and Technical College
Priority date: 2020-01-09
Filing date: 2020-01-09
Publication date: 2020-05-08

Abstract

A method for detecting fatigue of engineering constructors based on safety helmets comprises the following steps: s1, assembling and wearing the safety helmet; s2, collecting signals; s3, automatically fusing and analyzing the signals by the microprocessor, and judging the fatigue state; s4, turning on a green light during normal construction by constructors; s5, when the fatigue critical state is entered, the alarm module makes a sound intermittently, and the yellow display lamp is on; s6, in a general fatigue state, the alarm module makes a sound intermittently, and a yellow display lamp is turned on to prompt shift change; and S7, when the fatigue is serious, the alarm module continuously gives an alarm, the red display lamp flickers, and the operation equipment is forcibly stopped. The detection method provided by the invention can realize real-time processing of a large amount of data through the microprocessor module and realize real-time detection of the fatigue state of the constructor by comparing the physiological signal acquisition of the constructor with the image characteristics of the face characteristics.

Description

Engineering constructor fatigue detection method based on safety helmet

Technical Field

The invention belongs to the technical field of safety helmets, and particularly relates to a method for detecting fatigue of engineering constructors based on a safety helmet.

Background

The construction industry is one of the prop industries of national economy, is a field with extremely high safety requirements, and the safety accidents on the construction site still continuously occur, the reason and explanation for the accidents are relatively fuzzy, and people are the most active factors and have certain relation to the safety accidents. The construction workers having safety and heavy duty on the construction site have the common problems of short working height, large working pressure, irregular work and rest time and fatigue in both physiology and psychology. Therefore, the work fatigue of construction workers is one of the important reasons for the productivity reduction and safety accidents of construction enterprises, and therefore, the research on the work fatigue influence factors of the construction workers on the construction site is necessary.

In order to ensure life safety in the construction process, all personnel on the construction site need to wear safety helmets, the construction strength and the construction environment have great influence on the constructors, emotion and physical fatigue of the constructors are easy to cause, and the physical strength and mental strength of the constructors gradually enter a fatigue state due to long-time working of the constructors, so that attention is dispersed, the judgment reaction capability is reduced, vision is blurred, and hearing begins to be reduced. Over-tired constructors can be drowsy or even dozed during working, so construction accidents are easily caused by fatigue construction.

Disclosure of Invention

The invention aims to solve the problems in the background technology and provide a helmet-based engineering constructor fatigue detection method which detects in real time and detects through comparison of physiological indexes and facial features.

The purpose of the invention is realized as follows:

a method for detecting fatigue of engineering constructors based on safety helmets comprises the following steps:

s1, assembling the control box, the physiological acquisition module, the facial acquisition module, the microprocessor, the alarm module and the transmission module on the safety helmet;

s2, physiological signals of breath, pulse and body temperature of the constructors are collected through a physiological collection module, and the states of mouths and eyes of the constructors are collected through a face collection module;

s3, automatically fusing and analyzing the acquired physiological and facial signals by a microprocessor for identifying the fatigue characteristics of the constructors, and judging whether the detected constructors are in a fatigue state;

s4, when the constructor is in normal construction, the green light is on, and the display screen prompts attention to safe construction;

s5, when the constructor enters a fatigue critical state, the microprocessor returns a signal to the alarm module of the constructor to be detected, the microprocessor controls a buzzer of the alarm module to make a sound intermittently, the green display lamp is turned off, the yellow display lamp is turned on, and meanwhile, the display screen prompts the constructor to adjust the state of the constructor;

s6, when the state of the constructor is a general fatigue state, the microprocessor controls the buzzer to make a sound intermittently, the green display lamp is turned off, the yellow display lamp is turned on, the display screen prompts the constructor to take a rest, the microprocessor transmits a signal to the background alarm unit, and the manager is prompted to change the detection constructor for shift;

s7, when the constructor is severely tired, the buzzer continuously gives an alarm, a red display lamp representing fatigue starts to flicker, the display screen prompts the constructor to stop working for rest, and the microprocessor returns a signal to the start-stop equipment of the constructor to be detected to forcibly stop operating the equipment;

further, establish detecting element, brim of a hat and fixed band on the safety helmet, detecting element includes control box, physiology acquisition module, facial acquisition module, microprocessor, alarm module and transmission module, microprocessor locates in the control box, the upper end of brim of a hat is located to the control box, physiology acquisition module and facial acquisition module all connect microprocessor's input through transmission module, microprocessor's output passes through transmission module and connects alarm module.

Further, physiology collection module includes respiratory signal sensor, pulse signal sensor and temperature sensor, respiratory signal sensor locates the belly, pulse signal sensor locates the fixed band, temperature sensor locates the inboard of safety helmet, contacts the department with the forehead.

Further, the facial collection module includes camera, face detector and locates the image processing unit in the microprocessor, the camera is located the lower extreme of brim of a hat and is towards one side of people's face, face detector assembles in the camera, the camera passes through transmission module and connects microprocessor.

Further, respiration signal sensor adopts pole-distance-variable capacitor to pass the ware, respiration signal sensor is waistband form, respiration signal sensor includes the insulation system who comprises the polyolefin material and locates the metal electrode at insulation system both ends and constitute, metal electrode adopts the copper foil sticky tape.

Further, the transmission module adopts any one of ZiBee, WiFi or Bluetooth.

Further, alarm module includes bee calling organ, LED lamp, display screen, the display screen is connected to the LED lamp, bee calling organ and display screen connect microprocessor, bee calling organ and display screen all locate the upper end of safety helmet.

Further, the pulse signal sensor adopts an infrared pulse sensor.

Furthermore, the working temperature range of the temperature sensor is-55 ℃ to +125 ℃, the precision of the temperature sensor is +/-0.5 ℃, and the working period of the temperature sensor is 550-750 ms.

Furthermore, the camera is used for acquiring images of eyes and mouth of a human face.

Furthermore, the microprocessor adopts an STM processor and a single chip microcomputer.

Further, the capacitance C between the two metal electrodes of the respiration sensor satisfies:

C=ε·ε₀·S/d，

wherein d represents the distance (m) between the two plates, ε represents the relative dielectric constant, ε₀Denotes the air dielectric constant, S denotes the relative area (m) between the two plates²）。

Further, the capacitance variation Δ C between the two stages of plates satisfies:

ΔC=C₀·Δ/（d-Δ），

wherein, C₀The capacitance (F) is represented by the distance d between the bipolar plates, and Δ represents the amount of change (m) in the displacement of the bipolar plates.

Further, a face database is arranged in the face detector, eyes in the face detector adopt a PERCLOS algorithm, and the closed P value of the eyes meets the following requirements:

P=（t3-t2）/（t4-t1）×100%，

where t1 represents the time taken from full eye opening to 20% first closure(s), t2 represents the time taken from full eye opening to 80% first closure(s), t3 represents the time taken from full eye closure to 20% opening(s), and t4 represents the time taken from full eye closure to 80% opening(s).

Further, in the detection of the mouth in the face detector, U, D, L, R represents four points of the mouth, i.e., upper, lower, left, and right, respectively, and the upper part of the middle position of the lips is taken as the U point position and the lower part of the middle position of the lips is taken as the D point position, so that the length M1 of the mouth is the distance (cm) between the right end point R and the left end point L of the mouth, and the height M2 of the mouth is the distance (cm) between the U point at the upper end and the D point at the lower end of the mouth.

Compared with the prior art, the invention has the beneficial effects that:

1. according to the engineering constructor fatigue detection method based on the safety helmet, through acquisition of physiological signals of pulse, breath and body temperature of constructors and comparison of image characteristics of facial characteristics, signals which are easy to select and extract from numerous information related to fatigue construction of the constructors and simple in data processing and suitable for simulation are selected and extracted from the information, an acquisition module is mainly used for selecting or designing signal extraction sensors according to different signal characteristics, a microprocessor module can realize real-time processing of a large amount of data, and the fatigue state of the constructors is detected in real time.

2. According to the engineering constructor fatigue detection method based on the safety helmet, data information of construction under the condition that the constructor wears the safety helmet is collected according to fatigue evaluation standards set in a microprocessor through fatigue grade quantification standards with reliability, collected different signals are preprocessed, and finally, each path of signal is analyzed respectively, and characteristic parameters which can be used for fatigue judgment are selected.

3. The invention provides a method for detecting the fatigue of engineering constructors based on a safety helmet, which mainly comprises three parts: buzzer, LED lamp, liquid crystal display. The green light is bright when constructor normally is under construction, the safety construction is noted in the suggestion of liquid crystal display, when constructor gets into tired critical state, treater control bee calling organ intermittent type sends sound, green display lamp extinguishes, yellow display lamp is bright, liquid crystal display simultaneously suggests constructor to notice the rest, if constructor takes measures, then report to the police and remove if the rest, continue the construction if constructor, when judging to reach serious fatigue, bee calling organ sends the police dispatch newspaper in succession, the red display lamp that represents tired begins to flash, liquid crystal display suggestion constructor stop work and rest.

4. According to the engineering constructor fatigue detection method based on the safety helmet, whether the engineering constructor is in a fatigue state, particularly eyes and a mouth, is judged through the facial image of the constructor, the characteristics in the fatigue state are obvious, and the engineering constructor fatigue detection method can be conveniently detected.

5. According to the engineering constructor fatigue detection method based on the safety helmet, the adopted respiration signal sensor detects the respiration of a human body by detecting the change of the pleuroperitoneal cavity caused by the respiration of the human body through the variable-pole-distance type capacitance sensor, the polyolefin material is adopted, the flexibility, the insulation and the stress and stretching performance are good, no toxicity is generated to people and the environment, the respiration is measured in a waistband mode, the distance change of two electrodes of the sensor is large, the amplitude of the obtained respiration waveform is relatively large, and the anti-interference capability is strong.

6. According to the engineering constructor fatigue detection method based on the safety helmet, one end of an infrared pulse sensor emits infrared rays with specific wavelength, the other end of the infrared pulse sensor receives the infrared rays, when the neck of a person is placed at one end of the sensor, the infrared rays received by the other end of the infrared pulse sensor are influenced by blood microcirculation, the heart of the human body beats, the blood volume changes, and the complete waveform of the pulse wave is obtained through detecting the change.

Drawings

FIG. 1 is a flow chart of a method for detecting fatigue of engineering constructors based on a safety helmet.

FIG. 2 is a signal transmission schematic diagram of each component of the engineering constructor fatigue detection method based on the safety helmet.

FIG. 3 is a schematic diagram of a safety helmet based on the engineering constructor fatigue detection method of the safety helmet.

FIG. 4 is a schematic diagram of a breathing signal sensor of the engineering constructor fatigue detection method based on a safety helmet.

In the figure: 1. a safety helmet; 2. a control box; 3. a camera; 4. a temperature sensor; 5. fixing belts; 6. a brim; 7. a display screen; 8. an LED lamp; 9. a buzzer; 10. a physiological acquisition module; 11. a respiratory signal sensor; 111. an insulating structure; 112. a metal electrode; 12. a pulse signal sensor; 13. a face acquisition module; 14. a face detector; 15. a microprocessor; 16. an image processing unit; 17. an alarm module; 18. and a transmission module.

Detailed Description

The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by those skilled in the art without any creative work based on the embodiments of the present invention belong to the protection scope of the present invention.

Example 1

As shown in fig. 1, a method for detecting fatigue of engineering constructors based on a safety helmet comprises the following steps:

s1, assembling the control box 2, the physiological collection module 10, the facial collection module 13, the microprocessor 15, the alarm module 17 and the transmission module 18 on the safety helmet 1;

s2, physiological signals of breath, pulse and body temperature of the constructor are collected through the physiological collection module 10, and the states of the mouth and eyes of the constructor are collected through the face collection module 13;

s3, the microprocessor 15 for identifying the fatigue characteristics of the operator automatically fuses and analyzes the acquired physiological and facial signals and judges whether the detected operator is in a fatigue state;

s4, when the constructor is in normal construction, the green light is on, and the display screen 7 prompts attention to safe construction;

s5, when the constructor enters the fatigue critical state, the microprocessor 15 returns a signal to the alarm module 17 of the constructor to be detected, the microprocessor 15 controls the buzzer 9 of the alarm module 17 to make a sound intermittently, the green display lamp is turned off, the yellow display lamp is turned on, and meanwhile, the display screen 7 prompts the constructor to adjust the state of the constructor;

s6, when the state of the constructor is a general fatigue state, the microprocessor 15 controls the buzzer 9 to make a sound intermittently, the green display lamp is turned off, the yellow display lamp is turned on, meanwhile, the display screen 7 prompts the constructor to take a rest, the microprocessor 15 transmits a signal to the background alarm unit, and prompts the manager to change the detection constructor for changing the work;

s7, when the state of the constructor is serious fatigue, the buzzer 9 continuously gives an alarm, a red display lamp representing fatigue starts to flicker, the display screen 7 prompts the constructor to stop working for rest, and the microprocessor 15 returns a signal to the start-stop equipment of the constructor to be detected to forcibly stop operating the equipment.

Example 2

With reference to fig. 1-3, a engineering constructor fatigue detection method based on safety helmet, including safety helmet 1 and detecting element, establish brim of a hat 6 and fixed band 5 on the safety helmet 1, detecting element includes control box 2, physiology acquisition module 10, facial acquisition module 13, microprocessor 15, alarm module 17 and transmission module 18, microprocessor 15 locates in the control box 2, control box 2 locates the upper end of brim of a hat 6, physiology acquisition module 10 and facial acquisition module 13 all connect microprocessor 15's input, alarm module 17 is connected to microprocessor 15's output, carry out signal transmission through transmission module 18 between physiology acquisition module 10, facial acquisition module 13, microprocessor 15, the alarm module 17.

The physiological acquisition module 10 comprises a respiration signal sensor 11, a pulse signal sensor 12 and a temperature sensor 4, wherein the respiration signal sensor 11 is arranged on the abdomen, the pulse signal sensor 12 is arranged on the fixing band 5, and the temperature sensor 4 is arranged at the contact position of the inner side of the safety helmet 1 and the forehead;

the face acquisition module 13 includes camera 3, face detector 14 and locates the image processing unit 16 in the microprocessor 15, camera 3 locates the lower extreme of brim of a hat 6 towards one side of people's face, face detector 14 assembles in camera 3, camera 3 passes through transmission module 18 and connects microprocessor 15.

Through the physiological signal collection to constructor pulse, breathing and body temperature and the image characteristic contrast to facial feature, it is easy to select to extract in numerous and constructor fatigue construction relevant information, and data processing is simple and be fit for being used for the signal of simulation, and collection module's key lies in selecting or designing the signal according to different signal characteristics and draws the sensor, and microprocessor module can realize the real-time processing of a large amount of data, realizes detecting constructor's fatigue state in real time.

Example 3

On the basis of embodiment 1, with reference to fig. 2 and 3, the alarm module 17 includes a buzzer 9, an LED lamp 8 and a display screen 7, the LED lamp 8 is connected with the display screen 7, the buzzer 9 and the display screen 7 are connected with a microprocessor 15, and the buzzer 9 and the display screen 7 are both arranged at the upper end of the helmet 1.

The alarm module 17 mainly consists of three parts: buzzer 9, LED lamp 8, liquid crystal display 7, the green light is bright when constructor normally is under construction, safety construction is noticed in the suggestion of liquid crystal display 7, when constructor gets into tired critical state, microprocessor 15 control buzzer 9 intermittent type is sounded, green display lights extinguish, yellow display lights, liquid crystal display 7 simultaneously indicate constructor to notice the rest, if constructor takes measures, then report to the police and remove if the rest, continue the construction if constructor, when judging when reaching serious fatigue, buzzer 9 sends the police dispatch newspaper in succession, the red display lamp that represents tired begins to flicker, liquid crystal display 7 suggestion constructor stop work and rest.

Example 4

Combine fig. 2 and fig. 4, respiration signal sensor 11 adopts pole-changing distance formula electric capacity to pass the ware, respiration signal sensor 11 is waistband form, respiration signal sensor 11 includes insulation system 111 that comprises the polyolefin material and locates the metal electrode 112 at insulation system 111 both ends and constitute, metal electrode 112 adopts the copper foil sticky tape, and the respiration of human body is detected to the abdominal cavity's that arouses when respiration signal sensor that adopts utilizes pole-changing distance formula electric capacity sensor to detect human body breathing change, adopts the polyolefin material, and is soft, insulating, atress tensile properties good, can not produce the poison to people and environment to breathe in the form measurement of waistband, and sensor two electrode distance changes greatly, and the breathing waveform amplitude who obtains is great relatively, and the interference killing feature is strong.

The working temperature range of the temperature sensor 4 is-55 ℃ to +125 ℃, the precision of the temperature sensor 4 is +/-0.5 ℃, and the working period of the temperature sensor 4 is 550-750 ms.

The capacitance C between the two metal electrodes of the respiration sensor meets the following conditions: c = ε · ε₀S/d, where d denotes the distance (m) between the two plates, ε denotes the relative permittivity, ε₀Represents the dielectric constant of air, S representsRelative area (m) between the plates²）。

The capacitance variation Δ C between the two stages of plates satisfies: Δ C = C₀Δ/(d- Δ), wherein C₀The capacitance (F) is represented by the distance d between the bipolar plates, and Δ represents the amount of change (m) in the displacement of the bipolar plates.

The capacitance value changes along with the human breathing, acquire constructor breathing waveform through detecting the capacitance value change, through many times of experiments, discover that the operation of human body in the work progress can produce the influence to the output capacitance value of sensor, in order to fall this influence to minimumly, measure breathing with the form of waistband, sensor two electrode distance changes greatly, the breathing waveform amplitude of obtaining is great relatively, the interference killing feature is strong, this sensor convenient to use, can not bring inconvenience with life for constructor's normal construction, a interface has been drawn forth on this sensor, the constructor links to each other this interface with system circuit when the construction, measure respiratory signal, when not constructing, pull out the interface, sensor fungible ordinary waistband this moment.

The pulse signal sensor 12 adopts an infrared pulse sensor, one end of the infrared pulse sensor emits infrared rays with specific wavelength, the other end of the infrared pulse sensor receives the infrared rays, when the neck of a person is positioned at one end of the sensor, the infrared rays received by the other end of the infrared pulse sensor are influenced by blood microcirculation, the heart of the person beats, the blood volume changes, and the complete waveform of pulse waves is obtained by detecting the change.

Example 5

With reference to fig. 2 and 3, the face collecting module 13 includes a camera 3, a face detector 14 and an image processing unit 16 disposed in the microprocessor 15, the camera 3 is disposed on one side of the lower end of the visor 6 facing the face, the face detector 14 is assembled in the camera 3, and the camera 3 is connected to the microprocessor 15 through a transmission module 18.

A face database is arranged in the face detector, eyes in the face detector adopt a PERCLOS algorithm, and the closed P value of the eyes meets the following requirements: p = (t 3-t 2)/(t 4-t 1) × 100%, where t1 represents the time(s) taken from full opening of the eye to 20% first closure, t2 represents the time(s) taken from full opening of the eye to 80% first closure, t3 represents the time(s) taken from full closing of the eye to 20% opening, and t4 represents the time(s) taken from full closing of the eye to 80% opening.

In a certain specific time, if the number of pictures to be detected is N and the number of pictures meeting the P80 standard is M, the percentage of the time relationship in the above formula can be converted into the percentage of the number of pictures, where the value of P is: p = M/N × 100%, and when P > 0.4, the operator is determined to be in a fatigue state, 5 sands are taken in a fixed time period, 10 pictures are taken per second, and if N is 50 pictures in total, M is 20 pictures, and a picture satisfying the P80 standard is more than 20 frames, the operator is determined to be in a fatigue state.

In the detection of the mouth in the human face detector, U, D, L, R represents four points of the mouth, namely, the upper part of the middle position of the lip is taken as the U point position, the lower part of the middle position of the lip is taken as the D point position, the length M1 of the mouth is the distance (cm) between the right end point R and the left end point L of the mouth, and the height M2 of the mouth is the distance (cm) between the U point at the upper end of the mouth and the D point at the lower end of the mouth.

When a mouth is closed, M1/M2 is about 1/2, when a person speaks normally, M1/M2 is about 3/4, when yawns, M1/M2 is about 1, 0 represents that the mouth is closed, 1 represents that the mouth is normally opened, and 2 represents that the mouth is opened to the maximum or nearly the maximum, comprehensive judgment is carried out through continuous multi-frame pictures, for example, in a section of video, 10 pictures per second are taken, because yawns generally last about 6 seconds, and continuous 5 seconds are taken, 50 pictures can be obtained, the total number of pictures with the number sequence of 2 in the 50 pictures is judged, when the number sequences of almost all pictures are 2, the 5 seconds constructor can be judged to be in a yawning state, and fatigue is judged.

The above description is only a preferred embodiment of the present invention, and should not be taken as limiting the invention, and any modifications, equivalents and substitutions made within the scope of the present invention should be included.

Claims

1. A method for detecting fatigue of engineering constructors based on a safety helmet is characterized by comprising the following steps: the method comprises the following steps:

s1, assembling the control box (2), the physiological acquisition module (10), the facial acquisition module (13), the microprocessor (15), the alarm module (17) and the transmission module (18) on the safety helmet (1);

s2, physiological signals of breath, pulse and body temperature of the constructor are collected through a physiological collection module (10), and the states of the mouth and eyes of the constructor are collected through a face collection module (13);

s3, automatically fusing and analyzing the acquired physiological and facial signals by a microprocessor (15) for identifying the fatigue characteristics of the constructors, and judging whether the detected constructors are in a fatigue state or not;

s4, when the constructor is in normal construction, the green light is on, and the display screen (7) prompts attention to safe construction;

s5, when the constructor enters a fatigue critical state, the microprocessor (15) returns a signal to the alarm module (17) of the constructor to be detected, the microprocessor (15) controls a buzzer (9) of the alarm module (17) to intermittently make a sound, a green display lamp is turned off, a yellow display lamp is turned on, and meanwhile, the display screen (7) prompts the constructor to adjust the state of the constructor;

s6, when the state of the constructor is a general fatigue state, the microprocessor (15) controls the buzzer (9) to make a sound intermittently, the green display lamp is turned off, the yellow display lamp is turned on, meanwhile, the display screen (7) prompts the constructor to pay attention to rest, the microprocessor (15) transmits a signal to the background alarm unit, and the manager is prompted to change the detection constructor for changing the work;

s7, when the state of the constructor is seriously fatigue, the buzzer (9) continuously gives an alarm, a red display lamp representing fatigue starts to flicker, the display screen (7) prompts the constructor to stop working for rest, and the microprocessor (15) returns a signal to the start and stop equipment of the constructor to be detected, so that the operation equipment is forcibly stopped.

2. The helmet-based engineering constructor fatigue detection method according to claim 1, characterized in that: establish detecting element on safety helmet (1), brim of a hat (6) and fixed band (5), detecting element is including control box (2), physiology acquisition module (10), facial acquisition module (13), microprocessor (15), alarm module (17) and transmission module (18), microprocessor (15) are located in control box (2), the upper end of brim of a hat (6) is located in control box (2), physiology acquisition module (10) and facial acquisition module (13) are all through the input of transmission module (18) connection microprocessor (15), alarm module (17) are connected through transmission module (18) to the output of microprocessor (15).

3. The helmet-based engineering constructor fatigue detection method according to claim 1, characterized in that: physiology acquisition module (10) are including breathing signal sensor (11), pulse signal sensor (12) and temperature sensor (4), the belly is located in breathing signal sensor (11), pulse signal sensor (12) are located on fixed band (5), the inboard of safety helmet (1), the department of contact with the forehead are located in temperature sensor (4).

4. The helmet-based engineering constructor fatigue detection method according to claim 1, characterized in that: facial collection module (13) include camera (3), face detector (14) and locate image processing unit (16) in microprocessor (15), one side of the lower extreme orientation people face of brim of a hat (6) is located in camera (3), face detector (14) assemble in camera (3), microprocessor (15) are connected through transmission module (18) in camera (3).

5. The helmet-based engineering constructor fatigue detection method according to claim 1, characterized in that: respiratory signal sensor (11) adopt pole-changing distance formula electric capacity to pass the ware, respiratory signal sensor (11) are waistband form, respiratory signal sensor (11) include insulation system (111) of constituteing by the polyolefin material and locate metal electrode (112) at insulation system (111) both ends and constitute, metal electrode (112) adopt the copper foil adhesive tape.

6. The helmet-based engineering constructor fatigue detection method according to claim 1, characterized in that: the transmission module (18) adopts any one of ZiBee, WiFi or Bluetooth.

7. The helmet-based engineering constructor fatigue detection method according to claim 1, characterized in that: alarm module (17) include bee calling organ (9), LED lamp (8), display screen (7) are connected to LED lamp (8), microprocessor (15) is connected in bee calling organ (9) and display screen (7), bee calling organ (9) and display screen (7) all locate the upper end of safety helmet (1).