CN106617456A - Safety helmet safety monitoring method - Google Patents
Safety helmet safety monitoring method Download PDFInfo
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- CN106617456A CN106617456A CN201710000608.8A CN201710000608A CN106617456A CN 106617456 A CN106617456 A CN 106617456A CN 201710000608 A CN201710000608 A CN 201710000608A CN 106617456 A CN106617456 A CN 106617456A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 42
- 238000006073 displacement reaction Methods 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 230000004927 fusion Effects 0.000 claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 230000001133 acceleration Effects 0.000 claims abstract description 6
- 238000005259 measurement Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 8
- 239000011888 foil Substances 0.000 claims description 7
- 230000008447 perception Effects 0.000 claims description 7
- 230000009471 action Effects 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 4
- CLOMYZFHNHFSIQ-UHFFFAOYSA-N clonixin Chemical compound CC1=C(Cl)C=CC=C1NC1=NC=CC=C1C(O)=O CLOMYZFHNHFSIQ-UHFFFAOYSA-N 0.000 claims description 3
- 238000007596 consolidation process Methods 0.000 claims description 3
- 238000002224 dissection Methods 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims description 3
- 238000009826 distribution Methods 0.000 claims description 2
- 238000013500 data storage Methods 0.000 claims 1
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 230000006399 behavior Effects 0.000 abstract description 5
- 238000007499 fusion processing Methods 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000003860 storage Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 101100450138 Neurospora crassa (strain ATCC 24698 / 74-OR23-1A / CBS 708.71 / DSM 1257 / FGSC 987) hat-2 gene Proteins 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 210000005069 ears Anatomy 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- NLYAJNPCOHFWQQ-UHFFFAOYSA-N kaolin Chemical compound O.O.O=[Al]O[Si](=O)O[Si](=O)O[Al]=O NLYAJNPCOHFWQQ-UHFFFAOYSA-N 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
- A42B3/0433—Detecting, signalling or lighting devices
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Helmets And Other Head Coverings (AREA)
Abstract
The invention discloses a safety helmet safety monitoring method. The safety helmet comprises an embedded information fusion processing unit, the embedded information fusion processing unit is connected to a radio frequency authentication unit, a biological sensing unit, an elastic displacement unit, a three-dimensional pose unit, a mobile interconnection unit and an active alarming unit, the embedded information fusion processing unit comprises a data interface module, an information analysis module, an information calculation module, a voice module and a storage module. According to the safety helmet safety monitoring method, a multi-sensor fusion technology is adopted, information of biological sensing, pressure, displacement, three-dimensional acceleration and the like are obtained, through the embedded information fusion processing unit, information reception, analysis, calculation and processing are conducted, and whether behaviors of workers wearing safety helmet is correct or not is fast judged. According to the safety helmet safety monitoring method, behaviors of personnel using the safety helmet are normalized, safety accidents due to improper wearing are reduced, and the safety helmet safety monitoring method has a wide market prospect in the field of safety.
Description
Technical field
The present invention relates to Multi-sensor Fusion monitoring field, specifically, is related to a kind of crash helmet security monitoring method.
Background technology
In the place for having potential safety hazard, for security protection, it is desirable to which personnel on the scene are required for safe wearing cap.Existing peace
The research of full cap is broadly divided into two classes：One class is that the protective characteristic of safety cap is improved by material and exterior design；It is another kind of logical
Cross the auxiliary by electronic products such as camera, bluetooths, there is provided logical under the supervision, control and unsafe condition to production scene
Letter.This two classes research essentially provides the safety protection function of safety cap, but but have ignored safety cap improper use and make
Into Discussion on personnel casualty problem.Obtained by the statistics of lot of accident, the immediate cause 88% that accident occurs is the uneasiness due to people
Full behavior causes.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of crash helmet security monitoring method, for detecting and monitoring safety
Whether cap is correctly worn.
The present invention is adopted the following technical scheme that and realizes goal of the invention：
A kind of crash helmet security monitoring method, including embedded use processing unit, it is characterised in that described embedded
Formula use processing unit connects respectively radio frequency authentication unit, biological perception unit, elastic displacement unit, 3 d pose list
Unit, mobile interchange unit and initiative alarming unit, the embedded use processing unit includes data interface module, information
Parsing module, information computational module, voice module and memory module, comprise the steps：
(1) radio frequency authentication unit works independently, and user's information is actively gathered after startup, judges whether it is legal use
Person, if it is, carrying out system mode judgement, is such as judged as working state, then open whole device, notifies mobile interchange unit
And working condition is entered, otherwise device is in holding state；Such as it is being judged as state of coming off duty, then the writing task time, is completing number
According to storage backup, and mobile interchange unit is sent to, then whole device enters holding state；
(2) data interface module starts the sensor information of Real-time Collection unit after device enters working condition；
(3) information analysis module carries out dissection process, normalizing conversion to transmitting the various types of interface message come
Become the discrimination variable of consolidation form, and for disparate modules within the set time, the result of the multiple measurement of statistics simultaneously takes it
Mean value, and pass the result to information computational module；
(4) information computational module is received after normalization discrimination variable, first carries out threshold range judgement, then carries out multidimensional sense
Know that algorithm is calculated, judge whether safety cap is correctly worn；
(5) once judging that safety cap is not correctly worn, the voice module in safety cap will send acousto-optic action, point out
The personnel of wearing will correct safety cap and wear action；Simultaneously record information is being exceeded alarm threshold value by embedded information fusion unit
Warning message is transmitted afterwards and then again to remote control center to mobile interchange unit, mobile interchange unit information；
(6) initiative alarming unit works independently, in an emergency situation or wearer is judged as needing its of report and alarm
His occasion, is actively triggered by wearer, is sent on embedded information fusion unit triggering customized information, and this priority is set to most
It is high.
Used as the further restriction to the technical program, the biological unit that perceives includes 1 pyroelectric infrared sensor
With 2 infrared distance sensors, the pyroelectric sensor is positioned at crown inner front side, 2 infrared distance sensor positions
In the brim of a hat both sides.
Used as the further restriction to the technical program, the elastic displacement unit includes 1 diaphragm pressure sensor and 3
Individual high precision electro resistive foil gauge, the diaphragm pressure sensor is located at the chin strap of cap, 3 high precision electro resistives
Again safety cap is emitted at hoop for foil gauge distribution.
Used as the further restriction to the technical program, the three poses state unit includes three-axis sensor, three axle
Sensor is located at helmet inner top.
Used as the further restriction to the technical program, step (2) concretely comprise the following steps：First judge whether to receive
It is biological to perceive the information of unit, and the information content is determined whether, such as detect user's safe wearing cap, then start
Infrared distance measurement information in timing sampling biology sensing module, the pressure sensor information and three-dimensional appearance in elastic displacement module
The angular speed and acceleration information of morphotype block.
Used as the further restriction to the technical program, the embedded use processing unit adopts control process core
Piece MSP430, the pin 5 of the embedded use processing unit connects the initiative alarming unit, the embedded information
The pin 13 of fusion treatment unit, pin 14 and pin 15 connect it is described it is biological perceive unit, at the embedded information fusion
The colelctor electrode of the connecting triode Q1 of pin 13 of reason unit, the colelctor electrode of the triode Q1 also connects power supply by resistance R5,
The grounded emitter of the triode Q1, the base stage of the triode Q1 connects one of them described infrared distance measurement by resistance R3
Sensor, the colelctor electrode of the connecting triode Q2 of pin 14 of the embedded use processing unit, the triode Q2's
Colelctor electrode also connects power supply by resistance R7, and the grounded emitter of the triode Q2, the base stage of the triode Q2 passes through electricity
Resistance R6 connects another infrared distance sensor, and the pin 15 of the embedded use processing unit connects the heat
Release electric infrared sensor；The pin 33 of the embedded use processing unit, pin 34, pin 35 and distinguish with pin 44
Connect the diaphragm pressure sensor and 3 high precision electro resistive foil gauges, the embedded use processing unit
Pin 36, pin 37 and pin 38 connect the radio frequency authentication unit, the pin of the embedded use processing unit
39th, pin 40, pin 41, pin 42 and pin 43 connect respectively the pin 6 of the three-axis sensor, pin 7, pin 12, draw
Pin 23 and pin 24, it is mutual that the pin 58 of the embedded use processing unit, pin 59 and pin 60 connect the movement
Receipts or other documents in duplicate unit.
Used as the further restriction to the technical program, the Multidimensional Awareness algorithm calculation procedure of the step (4) is：A) first
Two infrared distance sensors are repeatedly tested safety cap, using formula,
WithWherein xiFor each measured value, diFor measured value and the deviation of mean valueN is observation time
Number, the pendulous frequency of each infrared distance sensor is n/2 time, calculating mean value and mean error, can obtain two it is infrared
Survey the range finding mean value of sensorWith average error deltar；Two class pressure sensor mean values in elastic displacement moduleWith average error deltab1、δb2, computing formula and the infrared distance measurement of two class pressure sensor mean values and mean error are passed
The computing formula of sensor duplicates, according to the different weights value of two class pressure sensorsAccording to formulaWithCalculate the mean value of elastic displacement modulePeace
Equal error deltab；The mean value of tri- directional angular velocities of X, Y, Z of 3 d pose moduleWith average error deltaωx、
δωy、δωz, while according to the different weighted value in tri- directions of X, Y, Z According to formula：WithThree-dimensional can be finally given
The mean value of gesture moduleWith average error deltaω；B) modules calculate mean error by measured value, are missed according to average
Difference whether in the pre-determined error range of modules judging whether safety cap is correctly worn, if in error range
It is interior, then it is assumed that correct, the calculating of next step is carried out into c) step, otherwise it is assumed that without correct safe wearing cap, c) when above-mentioned meter
When calculation obtains the mean error of modules all in respective error range, according to the weighted value of infrared distance measurement moduleBullet
The weighted value of property displacement moduleWith 3 d pose module weighted valuePut down so as to calculate the state for finally judging safety cap
AverageAnd mean errorBy entirety
The integrality mean value and ensemble average error of analytical calculation safety cap, judges whether safety cap is correctly worn, if overall
Mean error is beyond the ensemble average error being previously set, then same to judge without correct safe wearing cap.
Prior art is compared, and advantages of the present invention and good effect are：The present invention adopts multi-sensor fusion technology, obtains
The information such as biological perception, pressure, displacement, three-dimensional acceleration, enter row information and receive, divide by embedded use processing unit
Whether analysis, calculating, process, the rapid behavior for judging employee's safe wearing cap is correct.The present invention has warning device, realizes long-range
Automatically and manually warning function, solution of emergent event has great function.The behavior of specification librarian use safety cap of the present invention, reduces
Security incident due to wearing improper initiation, has wide market prospects in security fields.
Description of the drawings
Fig. 1 is the top level structure schematic diagram of preferred embodiment of the present invention safety cap；
Fig. 2 is the brim structure schematic diagram of preferred embodiment of the present invention safety cap；
Fig. 3 is the chin strap structural representation of preferred embodiment of the present invention safety cap；
Fig. 4 is the connection block diagram between preferred embodiment of the present invention safety cap modules；
Fig. 5 is method of the present invention flow chart.
Fig. 6 is radio frequency authentication unit circuit diagram.
Fig. 7 (1) (2) (3) perceives element circuit figure for biological.
Fig. 8 (1) (2) (3) (4) is elastic displacement element circuit figure.
Fig. 93 d pose element circuit figures.
Figure 10 initiative alarming element circuit figures.
Figure 11 mobile interchange element circuit figures.
The embedded use processing element circuit figures of Figure 12.
Wherein, 101, radio frequency authentication unit, 102, it is biological perceive unit, 103, elastic displacement unit, 104 3 d pose lists
Unit, 105, initiative alarming unit, 106, mobile interchange unit, 107, embedded use processing unit；To embedded information
Integrated unit, it is internal and can be divided into：201st, data interface module, 202, information analysis module, 203, information computational module,
204th, memory module, 205, voice module.
Specific embodiment
Below in conjunction with the accompanying drawings, a specific embodiment of the present invention is described in detail, it is to be understood that of the invention
Protection domain do not limited by specific embodiment.
As shown in Fig. 1-Figure 12, the present invention includes embedded use processing unit 107, the embedded information fusion
Processing unit connects respectively biological perception unit 102, elastic displacement unit 103,3 d pose unit 104 and initiative alarming unit
105。
The embedded use processing unit 107 is also connected with radio frequency authentication unit 101.
The embedded use processing unit 107 is also connected with mobile interchange unit 106.
The embedded use processing unit 107 includes that data interface module, information analysis module, information calculate mould
Block, voice module and memory module.
The radio frequency authentication unit 101 is made up of RFID and accessory circuit, for the identification authentication of the personnel of wearing, is being obtained
While essential information, and judged according to system status information and temporal information, start whole device enter working condition or
Holding state.
The biological unit 102 that perceives is by 1 pyroelectric infrared sensor and 2 infrared distance sensors and its attached electricity
Road is constituted, wherein the pyroelectric infrared sensor for being placed in crown inner front side is used to determine whether there is wearer, is placed in the brim of a hat
2 infrared distance sensors of both sides measure safety cap to the distance of wearer's ears.
The elastic displacement unit 103 is respectively by 1 diaphragm pressure sensor and 3 BF350 high precision electros resistive strains
Piece and accessory circuit are constituted, and wherein diaphragm pressure sensor is placed at chin strap, pressure at detection chin strap, BF350 high accuracy
Resistance strain plate is placed at helmet hoop, measures the head pressure information of safety cap wearer.Described 3 d pose list
Unit 104 is made up of MPU6050 three-axis sensors and its accessory circuit, is placed in helmet inner top, is completed to safety cap dynamic
The measurement of angular speed and acceleration information, and obtain real time data.
The initiative alarming unit 105 is made up of button and interface circuit, positioned at the bongrace top of safety cap, for urgent
In the case of the warning function actively initiated of wearer, to prevent false triggering, left-hand thread button is adopted in structure.
The mobile interchange unit 106 is made up of GPRS module SIM900 and its accessory circuit, on safety cap bongrace
Side, for information exchange transmission, including transmission authentication attendance information, the whether correct wearing information of safety cap are to Surveillance center, together
When can by initiative alarming module trigger customized information pass to overlayer monitors center.
Described embedded information fusion unit 107 is made up of control process chip MSP430 and corresponding circuit, position
In safety cap bongrace top, wherein data interface module is used to obtain real time sensor information；Information analysis module is completed to reality
When perception data sampling structure analysis；Information computational module carries out calculating analysis to the information after parsing according to algorithmic rule,
So as to determine whether correct safe wearing cap；Voice module carries out voice message to the personnel correctly not worn, and according to being
It is under unified central planning to put alternative reporting information；Memory module records essential information, Time Pick-off Units information and the operation letter of wearer
Breath.
The embedded use processing unit 107 adopts control process chip MSP430, the embedded information to melt
The pin 5 for closing processing unit connects the initiative alarming unit 105, the pin of the embedded use processing unit 107
13rd, pin 14 and pin 15 connect the biological perception unit 102, the pin of the embedded use processing unit 107
The colelctor electrode of 13 connecting triode Q1, the colelctor electrode of the triode Q1 also connects power supply, the triode Q1 by resistance R5
Grounded emitter, the base stage of the triode Q1 connects one of them described infrared distance sensor by resistance R3, described
The colelctor electrode of the connecting triode Q2 of pin 14 of embedded use processing unit, the colelctor electrode of the triode Q2 also passes through
Resistance R7 connects power supply, and the grounded emitter of the triode Q2, the base stage of the triode Q2 connects another by resistance R6
The individual infrared distance sensor, the pin 15 of the embedded use processing unit 107 connects the rpyroelectric infrared
Sensor；The pin 33 of the embedded use processing unit 107, pin 34, pin 35 and it is connected respectively with pin 44
The diaphragm pressure sensor and 3 high precision electro resistive foil gauges, the embedded use processing unit 107
Pin 36, pin 37 and pin 38 connect the radio frequency authentication unit 101, the embedded use processing unit 107
Pin 39, pin 40, pin 41, pin 42 and pin 43 connect respectively the pin 6 of the three-axis sensor, pin 7, pin
12nd, pin 23 and pin 24, the pin 58 of the embedded use processing unit 107, pin 59 and pin 60 connection institute
State mobile interchange unit 106.
The method whether judgement safety cap is correctly worn is as shown in figure 5, comprise the following steps：
Step 1：Radio frequency authentication unit 101 works independently, and user's information is actively gathered after startup, and it is legal to determine whether
User, if legal user, then according to system information, swipe the card number of times and time data carries out system mode and sentences
It is disconnected, be such as judged as working state, then whole device is opened, notify mobile interchange unit 106 and enter working condition, otherwise device
In holding state；If it is determined that the state of coming off duty, then the writing task time, complete data backup memory, and it is sent to movement
Interconnection unit 106, then whole device enter holding state.
Step 2：Data interface module starts each interface sensor information of Real-time Collection after device enters working condition,
Specifically, first judge whether to have received the information of biological perception unit 102, and determine whether the information content, such as detect
User's safe wearing cap, then start the biological infrared distance measurement information perceived in unit 102 of timing sampling, elastic displacement list
The angular speed and acceleration information of pressure sensor information and 3 d pose unit 104 in unit 103.
Step 3：Information analysis module carries out dissection process to transmitting the various types of interface message come, and normalizing turns
Change the discrimination variable for consolidation form into, and for disparate modules within the set time, the result of the multiple measurement of statistics simultaneously takes
Its mean value, and pass the result to information computational module.
Step 4：Information computational module is received after normalization discrimination variable, carries out Multidimensional Awareness algorithm calculating：A) first two
Individual infrared distance sensor is repeatedly tested safety cap, using formula,WithWherein xiFor each measured value, diFor measured value and the deviation of mean valueN is observation frequency,
The pendulous frequency of each infrared distance sensor is n/2 time, calculates mean value and mean error, can obtain two infrared surveys and pass
The range finding mean value of sensorWith average error deltar；Two class pressure sensor mean values in elastic displacement moduleWith
Mean error δb1、δb2, the computing formula and infrared distance sensor of two class pressure sensor mean value mean values and mean error
Computing formula duplicate, according to the different weights value of two class pressure sensorsAccording to formulaWithCalculate the mean value of elastic displacement modulePeace
Equal error deltab；The mean value of tri- directional angular velocities of X, Y, Z of 3 d pose moduleWith average error deltaωx、
δωy、δωz, while according to the different weighted value in tri- directions of X, Y, Z According to formula：WithThree-dimensional can be finally given
The mean value of gesture moduleWith average error deltaω；B) modules calculate mean error by measured value, are missed according to average
Difference whether in the pre-determined error range of modules judging whether safety cap is correctly worn, if in error range
It is interior, then it is assumed that correct, the calculating of next step is carried out into c) step, otherwise it is assumed that without correct safe wearing cap, c) when above-mentioned meter
When calculation obtains the mean error of modules all in respective error range, according to the weighted value of infrared distance measurement moduleBullet
The weighted value of property displacement moduleWith 3 d pose module weighted valuePut down so as to calculate the state for finally judging safety cap
AverageAnd mean errorBy entirety
The integrality mean value and ensemble average error of analytical calculation safety cap, judges whether safety cap is correctly worn, if overall
Mean error is beyond the ensemble average error being previously set, then same to judge without correct safe wearing cap.
Step 5：Once judging that safety cap is not correctly worn, the voice module in safety cap will send acousto-optic action,
The prompting personnel of wearing will correct safety cap and wear action；Simultaneously record information is being exceeded report by embedded information fusion unit 107
To mobile interchange unit 106 after alert threshold value and then by information, mobile interchange unit 106 transmits again warning message in remotely control
The heart.
Step 6：Initiative alarming unit 105 works independently, in an emergency situation or wearer is judged as needing report
Other alert occasions, are actively triggered by wearer, are sent on the triggering customized information of embedded information fusion unit 107, this priority
It is set to highest.
Above-mentioned part be presently preferred embodiments of the present invention, not for limit the present invention practical range.Every foundation is originally
The equivalence changes that the content of the invention is done and modification, should all belong to present disclosure.
Claims (7)
1. a kind of crash helmet security monitoring method, including embedded use processing unit, it is characterised in that described embedded
Use processing unit connect respectively radio frequency authentication unit, it is biological perceive unit, elastic displacement unit, 3 d pose unit,
Mobile interchange unit and initiative alarming unit, the embedded use processing unit includes data interface module, information solution
Analysis module, information computational module, voice module and memory module, comprise the steps：
(1) radio frequency authentication unit works independently, and user's information is actively gathered after startup, judges whether it is legal user,
If it is, carrying out system mode judgement, such as it is judged as working state, then opens whole device, notifies mobile interchange unit simultaneously
Into working condition, otherwise device is in holding state；Such as it is being judged as state of coming off duty, then the writing task time, is completing data
Storage backup, and mobile interchange unit is sent to, then whole device enters holding state；
(2) data interface module starts the sensor information of Real-time Collection unit after device enters working condition；
(3) information analysis module carries out dissection process to transmitting the various types of interface message come, and normalizing is converted into
The discrimination variable of consolidation form, and for disparate modules within the set time, the multiple result of measurement and to take its average of statistics
Value, and pass the result to information computational module；
(4) information computational module is received after normalization discrimination variable, first carries out threshold range judgement, then carries out Multidimensional Awareness calculation
Method is calculated, and judges whether safety cap is correctly worn；
(5) once judging that safety cap is not correctly worn, the voice module in safety cap will send acousto-optic action, and prompting is worn
Personnel will correct safety cap and wear action；Simultaneously, by record information, exceeding, alarm threshold value is laggard for embedded information fusion unit
And transmit warning message again to remote control center to mobile interchange unit, mobile interchange unit information；
(6) initiative alarming unit works independently, in an emergency situation or wearer is judged as needing other of report and alarm
Close, actively triggered by wearer, send on embedded information fusion unit triggering customized information, this priority is set to highest.
2. crash helmet security monitoring method according to claim 1, is characterized in that：The biological unit that perceives includes 1
Pyroelectric infrared sensor and 2 infrared distance sensors, the pyroelectric sensor is located at crown inner front side, described in 2
Infrared distance sensor is located at the brim of a hat both sides.
3. crash helmet security monitoring method according to claim 1, is characterized in that：The elastic displacement unit includes 1
Diaphragm pressure sensor and 3 high precision electro resistive foil gauges, the diaphragm pressure sensor is located at the chin strap of cap, and 3
Again safety cap is emitted at hoop for the individual high precision electro resistive foil gauge distribution.
4. crash helmet security monitoring method according to claim 1, is characterized in that：The three poses state unit includes three axles
Sensor, the three-axis sensor is located at helmet inner top.
5. crash helmet security monitoring method according to claim 1, is characterized in that：Step (2) concretely comprise the following steps：
First judge whether to have received the information of biological perception unit, and determine whether the information content, such as detected user
Safe wearing cap, then start the infrared distance measurement information in timing sampling biology sensing module, and the pressure in elastic displacement module is passed
The angular speed and acceleration information of sensor information and 3 d pose module.
6. crash helmet security monitoring method according to claim 1, is characterized in that：The embedded use processing list
Unit adopts control process chip MSP430, the pin 5 of the embedded use processing unit to connect the initiative alarming list
Unit, the pin 13 of the embedded use processing unit, pin 14 and pin 15 connect it is described it is biological perceive unit, it is described
The colelctor electrode of the connecting triode Q1 of pin 13 of embedded use processing unit, the colelctor electrode of the triode Q1 also passes through
Resistance R5 connects power supply, and the grounded emitter of the triode Q1, the base stage of the triode Q1 is connected wherein by resistance R3
One infrared distance sensor, the current collection of the connecting triode Q2 of pin 14 of the embedded use processing unit
Pole, the colelctor electrode of the triode Q2 also connects power supply, the grounded emitter of the triode Q2, three pole by resistance R7
The base stage of pipe Q2 connects another infrared distance sensor by resistance R6, the embedded use processing unit
Pin 15 connects the pyroelectric infrared sensor；Pin 33, the pin 34, pin of the embedded use processing unit
35 and it is connected the diaphragm pressure sensor and 3 high precision electro resistive foil gauges respectively with pin 44, it is described embedded
The pin 36 of use processing unit, pin 37 and pin 38 connect the radio frequency authentication unit, and the embedded information is melted
Close the pin 39 of processing unit, pin 40, pin 41, pin 42 and pin 43 connect respectively the three-axis sensor pin 6,
Pin 7, pin 12, pin 23 and pin 24, the pin 58 of the embedded use processing unit, pin 59 and pin 60
Connect the mobile interchange unit.
7. crash helmet security monitoring method according to claim 1, is characterized in that：The Multidimensional Awareness of the step (4) is calculated
Method calculation procedure is：A) two first infrared distance sensors are repeatedly tested safety cap, using formula,WithWherein xiFor each measured value, diFor measured value with it is average
The deviation of valueN is observation frequency, and the pendulous frequency of each infrared distance sensor is n/2 time, calculates mean value
And mean error, the range finding mean value of two infrared survey sensors can be obtainedWith average error deltar；In elastic displacement module
Two class pressure sensor mean values With average error deltab1、δb2, two class pressure sensor mean value mean values peace
The computing formula of error duplicates with the computing formula of infrared distance sensor, according to the different weights value of two class pressure sensorsAccording to formulaWithCalculate elastic displacement mould
The mean value of blockWith average error deltab；The mean value of tri- directional angular velocities of X, Y, Z of 3 d pose module
With average error deltaωx、δωy、δωz, while according to the different weighted value in tri- directions of X, Y, Z
According to formula：WithCan be most
The mean value of 3 d pose module is obtained eventuallyWith average error deltaω；B) modules calculate mean error, root by measured value
According to mean error whether in the pre-determined error range of modules judging whether safety cap is correctly worn, if by mistake
In difference scope, then it is assumed that correct, into c) step the calculating of next step is carried out, otherwise it is assumed that without correct safe wearing cap, c) when
It is above-mentioned when being calculated the mean error of modules all in respective error range, according to the weighted value of infrared distance measurement moduleThe weighted value of elastic displacement moduleWith 3 d pose module weighted valueFinally judge safety cap so as to calculate
State mean valueAnd mean errorIt is logical
Integrality mean value and ensemble average error that global analysis calculates safety cap are crossed, judges whether safety cap is correctly worn, such as
Fruit ensemble average error is beyond the ensemble average error being previously set, then same to judge without correct safe wearing cap.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710000608.8A CN106617456B (en) | 2017-01-03 | 2017-01-03 | Safety helmet safety monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710000608.8A CN106617456B (en) | 2017-01-03 | 2017-01-03 | Safety helmet safety monitoring method |
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| Publication Number | Publication Date |
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| CN106617456A true CN106617456A (en) | 2017-05-10 |
| CN106617456B CN106617456B (en) | 2024-02-20 |
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| CN201710000608.8A Active CN106617456B (en) | 2017-01-03 | 2017-01-03 | Safety helmet safety monitoring method |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108646316A (en) * | 2018-05-02 | 2018-10-12 | 四川斐讯信息技术有限公司 | A kind of wearing state recognition methods of wearable device and wearable device |
| CN109361902A (en) * | 2018-11-19 | 2019-02-19 | 河海大学 | A kind of intelligent safety helmet wearing monitoring system based on edge calculations |
| CN109542215A (en) * | 2018-10-09 | 2019-03-29 | 中国矿业大学 | Safety cap wears monitoring method |
| CN109953399A (en) * | 2017-12-26 | 2019-07-02 | 刘金 | A kind of intelligent safety helmet and intelligent control method |
| CN111273450A (en) * | 2020-04-14 | 2020-06-12 | 湖南翰坤实业有限公司 | VR experience helmet and balance adjusting method thereof |
| CN115171334A (en) * | 2022-06-30 | 2022-10-11 | 福建汇川物联网技术科技股份有限公司 | Safety helmet wearing supervision method and device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102232645A (en) * | 2010-05-05 | 2011-11-09 | 曹磊 | High voltage warning safety helmet |
| CN102349720A (en) * | 2011-11-04 | 2012-02-15 | 江南大学 | Warning helmet |
| CN102450764A (en) * | 2010-10-28 | 2012-05-16 | 尚文建 | Novel high voltage alarm safety helmet |
| CN102793330A (en) * | 2011-05-24 | 2012-11-28 | 刘生科 | Novel alarming type safety helmet |
| CN202842494U (en) * | 2012-10-12 | 2013-04-03 | 大唐国际发电股份有限公司重庆分公司 | Intelligent safety helmet with functions of monitoring and personnel location |
| KR101581353B1 (en) * | 2015-05-22 | 2016-01-11 | 전상보 | Safety helmet |
| CN105701968A (en) * | 2014-11-17 | 2016-06-22 | 南通大学 | Wireless monitoring alarm system for welding operation |
-
2017
- 2017-01-03 CN CN201710000608.8A patent/CN106617456B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102232645A (en) * | 2010-05-05 | 2011-11-09 | 曹磊 | High voltage warning safety helmet |
| CN102450764A (en) * | 2010-10-28 | 2012-05-16 | 尚文建 | Novel high voltage alarm safety helmet |
| CN102793330A (en) * | 2011-05-24 | 2012-11-28 | 刘生科 | Novel alarming type safety helmet |
| CN102349720A (en) * | 2011-11-04 | 2012-02-15 | 江南大学 | Warning helmet |
| CN202842494U (en) * | 2012-10-12 | 2013-04-03 | 大唐国际发电股份有限公司重庆分公司 | Intelligent safety helmet with functions of monitoring and personnel location |
| CN105701968A (en) * | 2014-11-17 | 2016-06-22 | 南通大学 | Wireless monitoring alarm system for welding operation |
| KR101581353B1 (en) * | 2015-05-22 | 2016-01-11 | 전상보 | Safety helmet |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109953399A (en) * | 2017-12-26 | 2019-07-02 | 刘金 | A kind of intelligent safety helmet and intelligent control method |
| CN108646316A (en) * | 2018-05-02 | 2018-10-12 | 四川斐讯信息技术有限公司 | A kind of wearing state recognition methods of wearable device and wearable device |
| CN109542215A (en) * | 2018-10-09 | 2019-03-29 | 中国矿业大学 | Safety cap wears monitoring method |
| CN109542215B (en) * | 2018-10-09 | 2022-03-08 | 中国矿业大学 | Wearing monitoring method for safety helmet |
| CN109361902A (en) * | 2018-11-19 | 2019-02-19 | 河海大学 | A kind of intelligent safety helmet wearing monitoring system based on edge calculations |
| CN111273450A (en) * | 2020-04-14 | 2020-06-12 | 湖南翰坤实业有限公司 | VR experience helmet and balance adjusting method thereof |
| CN111273450B (en) * | 2020-04-14 | 2020-12-08 | 湖南翰坤实业有限公司 | VR experience helmet and balance adjusting method thereof |
| CN115171334A (en) * | 2022-06-30 | 2022-10-11 | 福建汇川物联网技术科技股份有限公司 | Safety helmet wearing supervision method and device, electronic equipment and storage medium |
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