CN111899469A - Human body safety monitoring and alarming system based on safety helmet and control method thereof - Google Patents
Human body safety monitoring and alarming system based on safety helmet and control method thereof Download PDFInfo
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- CN111899469A CN111899469A CN202010794412.2A CN202010794412A CN111899469A CN 111899469 A CN111899469 A CN 111899469A CN 202010794412 A CN202010794412 A CN 202010794412A CN 111899469 A CN111899469 A CN 111899469A
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The invention discloses a human body safety monitoring and alarming system based on a safety helmet and a control method thereof, wherein the human body safety monitoring and alarming system based on the safety helmet comprises: the single chip microcomputer module, the server and the background monitoring module are sequentially in wireless connection, wherein the single chip microcomputer and the server establish communication transmission by utilizing the NB communication module. The human body safety monitoring and alarming system based on the safety helmet detects whether a wearer wears the safety helmet or not and whether the wearer wears the safety helmet or not in a standard mode in real time through the film pressure sensor, prompts the wearer when the wearer does not wear the safety helmet or wears the safety helmet in a non-standard mode, and gives an alarm when the wearer does not wear the safety helmet or wears the safety helmet in a non-standard mode for many times in the day; through top acceleration sensor real-time detection wearing safety helmet personnel's motion gesture, judge whether tumble, fall to make statistics of and wear personnel's step number information, report to the police when the human body is in dangerous state, thereby prevent to wear that safety helmet personnel are lazy and not standardize the operation, personnel's personal safety is worn in the protection, guarantee building site safety operation.
Description
Technical Field
The invention belongs to the technical field of safety helmets and human body safety detection, and particularly relates to a human body safety monitoring and alarming system based on a safety helmet and a control method thereof.
Background
In recent years, the construction industry in China is rapidly developed, but the safety problems of personnel during construction of a construction site are seriously influenced by the problems of incapability of monitoring of standard management and safety measures of workers, and the like, so that the detection and maintenance work of the standard management of the construction site, the wearing of safety equipment and the like must be enhanced, and the standard management of the construction site and the safety of the personnel are ensured.
The safety helmet is an important device for protecting personnel safety of construction site personnel in the construction process of a construction site, and is defined as a shallow round cap made of steel or similar raw materials and worn for protecting the top of the head, and a protective article for preventing impact objects from injuring the head. The helmet shell is hemispherical, firm, smooth and elastic, the impact and puncture kinetic energy of the hit object are mainly borne by the helmet shell, and a certain space is reserved between the helmet shell and the helmet liner, so that the instantaneous impact force can be buffered and dispersed, and the direct injury to the head can be avoided or reduced. Impact performance, puncture resistance, lateral rigidity, electrical insulation, and flame retardancy are requirements for the basic technical properties of safety helmets. At present, China indicates that workers entering a construction site must wear safety helmets in construction site standard management rules, and how to manage and control the safety helmets worn by the workers on the construction site and whether the workers wear the safety helmets or not and the working efficiency of the workers become a problem to be solved urgently along with the continuous increase of the number of the workers on the construction site and the dispersion of the workers in the construction stage.
Disclosure of Invention
In order to solve the problems, the invention provides a human body safety monitoring and alarming system based on a safety helmet, which is characterized in that whether a wearer wears the safety helmet or is in a standard state is detected in real time through a film pressure sensor, when the wearer does not wear the safety helmet or wears the safety helmet in a non-standard state, the system prompts, the motion posture of the wearer wearing the safety helmet is detected in real time through a gyro acceleration sensor, whether the wearer falls down or falls is judged, the step number information of the wearer is counted, when the human body is in a dangerous state, an alarm is given, and all collected data are sent to a server through a single chip microcomputer module, so that a background monitoring center can analyze and display conveniently.
Another object of the present invention is to provide a control method of a safety helmet based human body safety monitoring and warning system.
The technical scheme adopted by the invention is as follows:
a human body safety monitoring and alarming system based on a safety helmet comprises a sensor group module, a single chip microcomputer module, an alarming module, an NB communication module, a server and a background monitoring module, wherein the sensor group module, the alarming module and the NB communication module are all in wired connection with the single chip microcomputer module, and the NB communication module, the server and the background monitoring module are sequentially in wireless connection;
the sensor group module comprises a film pressure sensor arranged at the chin of the lower cheek band of the safety helmet and is used for acquiring the pressure generated when the chin of a wearer extrudes the lower cheek band of the safety helmet in real time, and further detecting whether the wearer wears the safety helmet regularly; and the gyro acceleration sensor is arranged at the top of the head inside the safety helmet and is used for acquiring the three-dimensional acceleration, the three-dimensional angular velocity and the three-dimensional attitude angle generated during the movement of the wearing person in real time, and then detecting whether the wearing person falls down or falls.
Preferably, a communication channel is established between the single chip microcomputer module and the server by using an NB-IOT (narrow band Internet of things) communication module based on honeycomb.
Preferably, the single chip microcomputer module and the server adopt a COAP communication protocol for data transmission.
Preferably, the gyro acceleration sensor is an MPU6050 gyro acceleration sensor.
Preferably, the membrane pressure sensor is an IMS-CO4A membrane pressure sensor.
Preferably, the resistance R in the thin film pressure sensorIMSThe calculation formula of (2) is as follows:
RIMS＝(VREF/VOUT)*RG
where VREF is a given reference voltage, VOUT is the measured voltage, and RG is the feedback voltage.
The other technical scheme of the invention is realized as follows:
a control method of a human body safety monitoring and alarming system based on a safety helmet specifically comprises the following steps:
s1, acquiring pressure data of the chin of the lower cheek strap of the safety helmet after the safety helmet is worn by a wearer through a film pressure sensor, acquiring three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data of the wearer after the safety helmet is worn by the wearer through a gyro acceleration sensor, and sending the acquired data to a single chip microcomputer module;
s2, the single chip microcomputer module compares the acquired pressure data with a preset pressure range, if the acquired pressure data exceed the preset pressure range, the single chip microcomputer module instructs the alarm module to prompt, and otherwise, the single chip microcomputer module does not process the acquired pressure data;
and S3, the single chip microcomputer module performs data processing on the acquired three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data to obtain a combined acceleration, a combined angular velocity and a combined attitude angle, and further, the steps are counted, whether the falling, falling and duration are caused or not is judged, and whether an alarm is given or not is determined.
Preferably, the S3 specifically includes the following steps:
s31, filtering the resultant acceleration through the single chip microcomputer module, then drawing, judging whether a wave crest exists or not, if so, counting step and adding one, otherwise, not processing;
s32, comparing the filtered resultant acceleration with a preset acceleration threshold value through the single chip microcomputer module, if the resultant acceleration exceeds the preset acceleration threshold value, carrying out S33, and otherwise, carrying out no processing;
s33, comparing the combined attitude angle with a preset attitude angle threshold value through the single chip microcomputer module, if the combined attitude angle exceeds the preset attitude angle threshold value, performing S34, and otherwise, not performing processing;
and S34, comparing the duration time of the motion posture with a preset duration time threshold value through the single chip microcomputer module, if the duration time exceeds the preset duration time threshold value, giving an alarm, and otherwise, not processing.
Preferably, the resistance R in the thin film pressure sensorIMSThe calculation formula of (2) is as follows:
RIMS＝(VREF/VOUT)*RG
where VREF is a given reference voltage, VOUT is the measured voltage, and RG is the feedback voltage.
Preferably, a communication channel is established between the single chip microcomputer module and the server by using an NB-IOT cellular-based narrowband internet of things communication module for transmitting data to the background monitoring module.
Compared with the prior art, the human body safety monitoring and alarming system based on the safety helmet detects whether a wearer wears the safety helmet or wears the safety helmet regularly or not in real time through the film pressure sensor, prompts when the wearer does not wear the safety helmet or wears the safety helmet irregularly, and gives an alarm when the wearer does not wear the safety helmet or wears the safety helmet irregularly for many times in the day; through gyroscope acceleration sensor real-time detection wearing safety helmet personnel's motion gesture, judge whether tumble, fall to make statistics of and wear personnel's step number information, report to the police when the human body is in dangerous state, then send all data collections to the server through the singlechip module, make things convenient for backstage surveillance center to carry out analysis, show, thereby prevent to wear that safety helmet personnel are lazy and not standardize the operation, this is to wearing personnel's personal safety, guarantee building site safe operation has important meaning.
Drawings
Fig. 1 is a schematic structural diagram of a human body safety monitoring and alarming system based on a safety helmet provided in embodiment 1 of the present invention;
fig. 2 is a schematic flow chart of a control method of a safety helmet-based human body safety monitoring and warning system according to embodiment 2 of the present invention;
fig. 3 is an algorithm schematic diagram of a control method of a human body safety monitoring and alarm system based on a safety helmet according to embodiment 2 of the present invention.
Description of the reference numerals
The system comprises a sensor group module, a film pressure sensor 11, a gyro acceleration sensor 12, a singlechip microcomputer module 2, an alarm module 3, an NB communication module 4, a server 5 and a background monitoring module 6.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example 1
The embodiment 1 of the invention provides a human body safety monitoring and alarming system based on a safety helmet, which comprises a sensor group module 1, a single chip microcomputer module 2, an alarming module 3, an NB communication module 4, a server 5 and a background monitoring module 6, wherein the sensor group module 1, the alarming module 3 and the NB communication module 4 are all in wired connection with the single chip microcomputer module 2, and the NB communication module 4, the server 5 and the background monitoring module 6 are sequentially in wireless connection;
the sensor group module 1 comprises a film pressure sensor 11 arranged at the chin of the lower cheek band of the safety helmet and used for collecting pressure generated when the chin of a wearer extrudes the lower cheek band of the safety helmet in real time so as to detect whether the wearer wears the safety helmet regularly; and a gyro acceleration sensor 12 installed at the top of the head inside the helmet is used for acquiring three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle generated during the movement of the wearing person in real time, and further detecting whether the wearing person falls down or falls.
Thus, the film pressure sensor 11 is arranged at the chin of the lower cheek strap of the safety helmet, the pressure generated when the chin of a wearer extrudes the lower cheek strap of the safety helmet is collected in real time, whether the wearer wears the safety helmet or wears the safety helmet normally is detected in real time, a prompt alarm is given when the wearer does not wear the safety helmet or wears the safety helmet normally, the gyro acceleration sensor 12 is arranged at the top of the head inside the safety helmet, the three-dimensional acceleration, the three-dimensional angular velocity and the three-dimensional attitude angle of the wearer during movement are collected in real time, the movement attitude of the wearer is detected in real time, whether the wearer falls down or not is judged, the step number information of the wearer is counted, the alarm is given when the human body is in a dangerous state, all collected data are sent to the server through the single chip microcomputer module, the analysis and display are facilitated for the background monitoring center, and the lazy and nonstandard operation of the wearer is prevented, the personal safety of the wearing personnel is protected, and the safe operation of the construction site is guaranteed.
And a communication channel is established between the singlechip microcomputer module 2 and the server 5 by utilizing an NB-IOT (narrow band Internet of things) communication module based on honeycomb.
Therefore, a communication channel can be established between the single chip microcomputer module 2 and the server 5 through the narrow-band Internet of things based on the NB-IOT honeycomb, so that the single chip microcomputer module 2 and the server 5 can communicate with each other, and the background monitoring module 6 can analyze and display conveniently.
And the chip module 2 and the server 5 adopt a COAP communication protocol for data transmission.
Therefore, data transmission can be carried out between the single chip microcomputer module 2 and the server 5 through the COAP communication protocol, so that the background monitoring module 6 can acquire data information of the sensor group module 1 in real time.
The gyro acceleration sensor 12 is an MPU6050 gyro acceleration sensor.
In this way, the gyro acceleration sensor 12 is an MPU6050 gyro acceleration sensor, each frame of data sent to the upper computer is divided into 3 data packets, which are an acceleration packet, an angular velocity packet, and an attitude angle packet, and the 3 data packets are sequentially output. The sensor is arranged at the top of the head of the helmet and can detect the motion posture of a wearer. The sensor is used for detecting the falling, falling and step counting of the human body in real time, processing the acquired three-dimensional data of the acceleration, the angular velocity and the attitude angle, alarming at dangerous moments and uploading the data to a database.
The gyro acceleration sensor adopts an MPU6050, and the voltage: 3V to 24V, current: <10mA, volume: 17.8mm X17.8mm, weight: 1.1g, pad pitch: upper and lower 100mil (2.54mm), left and right 600mil (15.24mm), measurement dimension: acceleration: three-dimensional, angular velocity: three-dimensional, attitude angle: three-dimensional, measuring range: acceleration: ± 16g, angular velocity: . + -. 2000 °/s, resolution: acceleration: 6.1e-5g, angular velocity: 7.6e-3 °/s, stability: acceleration: 0.01g, angular velocity 0.05 °/s attitude measurement stability: 0.01 degrees, read MPU 6050's measured data through the treater then through serial ports output data, accomplish to tumble, fall, meter step function.
The membrane pressure sensor 11 is an IMS-CO4A membrane pressure sensor.
In this way, the film pressure sensor 11 is an IMS-CO4A (small-range) film pressure sensor, and is used for testing the force in the direction perpendicular to the plane of the sensor, and is a passive element formed by multilayer printing and packaging, and is used as a variable resistor, and the tested force is output and worn by using a set threshold value to detect whether the wearing is normal or not, and an alarm is given if the wearing is not normal or not.
Resistance R in the thin film pressure sensor 11IMSThe calculation formula of (2) is as follows:
RIMS＝(VREF/VOUT)*RG
where VREF is a given reference voltage, VOUT is the measured voltage, and RG is the feedback voltage.
Therefore, VREF given by the formula is used for feeding back the resistor RG, calculating the real-time resistance by measuring VOUT, and prompting or alarming when the set threshold is reached.
According to the human body safety monitoring and alarming system based on the safety helmet, whether a wearer wears the safety helmet or not and whether the wearer wears the safety helmet or not are standard are detected in real time through the film pressure sensor, when the wearer does not wear the safety helmet or wears the safety helmet or not, the system prompts, the motion posture of the wearer is detected in real time through the gyro acceleration sensor, whether the wearer falls down or not is judged, the step number information of the wearer is counted, when the human body is in a dangerous state, the system gives an alarm, all collected data are sent to the server through the single chip microcomputer module, analysis and display are facilitated for the background monitoring center, and therefore the wearer is prevented from being lazy and operating in a non-standard mode, and the system has important significance for personal safety of the wearer and safe operation of a construction site.
Example 2
As shown in fig. 2-3, embodiment 2 of the present invention provides a control method for a human body safety monitoring and alarm system based on a safety helmet, which specifically includes the following steps:
s1, acquiring pressure data of the chin of the lower cheek strap of the safety helmet after the safety helmet is worn by a wearer through a film pressure sensor, acquiring three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data of the wearer after the safety helmet is worn by the wearer through a gyro acceleration sensor, and sending the acquired data to a single chip microcomputer module;
s2, the single chip microcomputer module compares the acquired pressure data with a preset pressure range, if the acquired pressure data exceed the preset pressure range, the single chip microcomputer module instructs the alarm module to prompt, and otherwise, the single chip microcomputer module does not process the acquired pressure data;
and S3, the single chip microcomputer module performs data processing on the acquired three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data to obtain a combined acceleration, a combined angular velocity and a combined attitude angle, and further, the steps are counted, whether the falling, falling and duration are caused or not is judged, and whether an alarm is given or not is determined.
Therefore, the pressure data of the chin of the lower cheek strap of the safety helmet after a wearer wears the safety helmet is collected through the film pressure sensor, the three-dimensional acceleration, the three-dimensional angular velocity and the three-dimensional attitude angle data of the wearer after wearing the safety helmet are collected through the gyro acceleration sensor, and the collected data are sent to the single chip microcomputer module; the single chip module compares the acquired pressure data with a preset pressure range, and if the acquired pressure data exceed the preset pressure range, the single chip module instructs the alarm module to prompt, otherwise, the single chip module does not process the pressure data; the single chip microcomputer module performs data processing on the acquired three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data, and obtains a combined acceleration, a combined angular velocity and a combined attitude angle by adopting a three-axis acceleration measurement principle, so that the steps are counted, whether the falling, the falling and the duration are carried out or not is judged, and whether the alarm is given or not is carried out. And then, the acquired information is sent to a server for storage through the single chip microcomputer module and is sent to a background monitoring module for real-time monitoring.
The S3 specifically includes the following steps:
s31, performing Gaussian filtering on the resultant acceleration through the single chip microcomputer module, then drawing, judging whether a wave crest exists or not, if yes, counting step by one, and otherwise, not processing;
s32, the combined acceleration is subjected to Gaussian filtering through the single chip microcomputer module and then is compared with a preset acceleration threshold, if the combined acceleration exceeds the preset acceleration threshold, S33 is carried out, and otherwise, no processing is carried out;
s33, comparing the combined attitude angle with a preset attitude angle threshold value through the single chip microcomputer module, if the combined attitude angle exceeds the preset attitude angle threshold value, performing S34, and otherwise, not performing processing;
and S34, comparing the duration time of the motion posture with a preset duration time threshold value through the single chip microcomputer module, if the duration time exceeds the preset duration time threshold value, giving an alarm, and otherwise, not processing.
Therefore, three-dimensional data of the acceleration, the angular velocity and the attitude angle collected by the gyro acceleration sensor are processed through the single chip microcomputer module, so that the alarm at dangerous moments is realized, and the data are uploaded to a database. Specifically, the method comprises the following steps: respectively processing the three-dimensional acceleration, the three-dimensional angular velocity and the three-dimensional attitude angle to obtain the resultant acceleration, the resultant angular velocity and the resultant attitude angle, denoising and smoothing the processed data through Gaussian filtering, and taking the wave crest of the processed resultant acceleration waveform as a counting method for the step counting function; and the falling utilizes the combined acceleration and the posture angle to reach the set threshold value and the duration time to alarm.
Resistance R in the thin film pressure sensorIMSThe calculation formula of (2) is as follows:
RIMS＝(VREF/VOUT)*RG
where VREF is a given reference voltage, VOUT is the measured voltage, and RG is the feedback voltage.
Therefore, VREF given by the formula is used for feeding back the resistor RG, calculating the real-time resistance by measuring VOUT, and prompting or alarming when the set threshold is reached.
And a communication channel is established between the single chip microcomputer module and the server by utilizing an NB-IOT (NB-IOT) narrow-band Internet of things communication module based on honeycomb so as to transmit data to the background monitoring module.
Therefore, a communication channel can be established between the single chip microcomputer module and the server through the narrow-band Internet of things based on the NB-IOT honeycomb, so that the single chip microcomputer module and the server can communicate with each other conveniently, and the background monitoring module can analyze and display conveniently.
The control method of the human body safety monitoring and alarming system based on the safety helmet detects whether a wearer wears the safety helmet or wears the safety helmet regularly or not in real time through the film pressure sensor, prompts when the wearer does not wear the safety helmet or wears the safety helmet irregularly, and alarms when the wearer does not wear the safety helmet or wears the safety helmet irregularly for many times in the day; the motion posture of a person wearing the safety helmet is detected in real time through a gyro acceleration sensor, whether the person is in a motion state or a static state is judged, whether the person falls down or not is judged, step number information of the person wearing the safety helmet is counted, an alarm is given when the person is in a dangerous state, then all collected data are transmitted to a server through an NB-IOT communication module by a single chip microcomputer module, the information such as the acceleration, the angular velocity, the attitude angle, the pressure and the alarm is sent to a server, analysis and display of a background monitoring center are facilitated, use of a user side is facilitated, real-time monitoring is achieved, meanwhile, certain help is provided for later-stage rescue, a foundation is laid for analysis of later-stage processing motion posture and wearing data, and therefore the person wearing the safety helmet is effectively prevented from being lazed and operating in an irregular mode, and the safety of the person wearing the.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A human body safety monitoring and alarming system based on a safety helmet is characterized by comprising a sensor group module (1), a single chip microcomputer module (2), an alarming module (3), an NB communication module (4), a server (5) and a background monitoring module (6), wherein the sensor group module (1), the alarming module (3) and the NB communication module (4) are all in wired connection with the single chip microcomputer module (2), and the NB communication module (4), the server (5) and the background monitoring module (6) are sequentially in wireless connection;
the sensor group module (1) comprises a thin film pressure sensor (11) which is arranged at the chin of the lower cheek band of the safety helmet and used for collecting the pressure generated when the chin of a wearer extrudes the lower cheek band of the safety helmet in real time so as to detect whether the wearer wears the safety helmet regularly; and a gyro acceleration sensor (12) arranged at the top of the head inside the safety helmet is used for acquiring three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle generated during the movement of the wearing person in real time, and further detecting whether the wearing person falls down or not.
2. The safety helmet-based human body safety monitoring and alarm system according to claim 1, wherein a communication channel is established between the single chip microcomputer module (2) and the server (5) by using an NB-IOT (NB-IOT) narrow-band Internet of things communication module based on a honeycomb.
3. The human body safety monitoring and alarm system based on the safety helmet as claimed in claim 2, wherein the single chip microcomputer module (2) and the server (5) are in data transmission by using a COAP communication protocol.
4. The safety-cap based human safety monitoring and alarm system of claim 1, wherein the gyro acceleration sensor (12) is an MPU6050 gyro acceleration sensor.
5. The headgear-based personal safety monitoring and alert system of claim 1, wherein the membrane pressure sensor (11) is an IMS-CO4A membrane pressure sensor.
6. A safety-cap based human safety monitoring and alarm system according to claim 5, wherein the resistance R in the thin-film pressure sensor (11)IMSThe calculation formula of (2) is as follows:
RIMS＝(VREF/VOUT)*RG
where VREF is a given reference voltage, VOUT is the measured voltage, and RG is the feedback voltage.
7. The control method of the safety helmet-based human body safety monitoring and alarming system based on any one of claims 1-6 is characterized by comprising the following steps:
s1, acquiring pressure data of the chin of the lower cheek strap of the safety helmet after the safety helmet is worn by a wearer through a film pressure sensor, acquiring three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data of the wearer after the safety helmet is worn by the wearer through a gyro acceleration sensor, and sending the acquired data to a single chip microcomputer module;
s2, the single chip microcomputer module compares the acquired pressure data with a preset pressure range, if the acquired pressure data exceed the preset pressure range, the single chip microcomputer module instructs the alarm module to prompt, and otherwise, the single chip microcomputer module does not process the acquired pressure data;
and S3, the single chip microcomputer module performs data processing on the acquired three-dimensional acceleration, three-dimensional angular velocity and three-dimensional attitude angle data to obtain a combined acceleration, a combined angular velocity and a combined attitude angle, and further, the steps are counted, whether the falling, falling and duration are caused or not is judged, and whether an alarm is given or not is determined.
8. The control method of the safety helmet-based human body safety monitoring and warning system according to claim 7, wherein the step S3 specifically comprises the steps of:
s31, filtering the resultant acceleration through the single chip microcomputer module, then drawing, judging whether a wave crest exists or not, if so, counting step and adding one, otherwise, not processing;
s32, comparing the filtered resultant acceleration with a preset acceleration threshold value through the single chip microcomputer module, if the resultant acceleration exceeds the preset acceleration threshold value, carrying out S33, and otherwise, carrying out no processing;
s33, comparing the combined attitude angle with a preset attitude angle threshold value through the single chip microcomputer module, if the combined attitude angle exceeds the preset attitude angle threshold value, performing S34, and otherwise, not performing processing;
and S34, comparing the duration time of the motion posture with a preset duration time threshold value through the single chip microcomputer module, if the duration time exceeds the preset duration time threshold value, giving an alarm, and otherwise, not processing.
9. The base of claim 8A control method of a human body safety monitoring and alarming system of a safety helmet is characterized in that a resistor R in a film pressure sensorIMSThe calculation formula of (2) is as follows:
RIMS＝(VREF/VOUT)*RG
where VREF is a given reference voltage, VOUT is the measured voltage, and RG is the feedback voltage.
10. The control method of the safety helmet based human body safety monitoring and alarm system according to claim 9, wherein a communication channel is established between the single chip microcomputer module and the server by using an NB-IOT cellular-based narrowband internet of things communication module for transmitting data to the background monitoring module.
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| CN112729229A (en) * | 2020-12-18 | 2021-04-30 | 南方电网电力科技股份有限公司 | Method and system for monitoring ascending of electric power operator |
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| CN114155679A (en) * | 2021-07-07 | 2022-03-08 | 中船第九设计研究院工程有限公司 | Safety management system in building construction |
| CN114155669A (en) * | 2021-11-30 | 2022-03-08 | 安徽富煌钢构股份有限公司 | Building construction safety early warning protection system based on BIM |
| CN114217361A (en) * | 2021-12-14 | 2022-03-22 | 江苏紫喻智能科技有限公司 | Flow detection device for preventing falling of high-altitude operation |
| CN114903245A (en) * | 2022-04-24 | 2022-08-16 | 北京华脑技术发展有限公司 | Multi-parameter-based method for detecting correct wearing of chin strap of safety helmet |
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