CN117392807A - Safety supervision system based on intelligent safety helmet - Google Patents
Safety supervision system based on intelligent safety helmet Download PDFInfo
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- CN117392807A CN117392807A CN202311678185.7A CN202311678185A CN117392807A CN 117392807 A CN117392807 A CN 117392807A CN 202311678185 A CN202311678185 A CN 202311678185A CN 117392807 A CN117392807 A CN 117392807A
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- 238000001514 detection method Methods 0.000 claims abstract description 20
- 210000004556 brain Anatomy 0.000 claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 230000005856 abnormality Effects 0.000 claims description 18
- 210000004373 mandible Anatomy 0.000 claims description 17
- 238000004891 communication Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 claims 2
- 238000012544 monitoring process Methods 0.000 claims 1
- 238000000034 method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 206010052770 Coma states Diseases 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 239000003792 electrolyte Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- 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
-
- 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
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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
-
- 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
- A42B3/046—Means for detecting hazards or accidents
-
- 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
- A42B3/0466—Means for detecting that the user is wearing a helmet
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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
- A42B3/30—Mounting radio sets or communication systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/372—Analysis of electroencephalograms
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
-
- 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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
-
- 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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0476—Cameras to detect unsafe condition, e.g. video cameras
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- 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
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0492—Sensor dual technology, i.e. two or more technologies collaborate to extract unsafe condition, e.g. video tracking and RFID tracking
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- Health & Medical Sciences (AREA)
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- Life Sciences & Earth Sciences (AREA)
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- Physical Education & Sports Medicine (AREA)
- Neurosurgery (AREA)
- Helmets And Other Head Coverings (AREA)
Abstract
The invention discloses a safety supervision system based on an intelligent safety helmet, which belongs to the technical field of safety supervision and comprises the intelligent safety helmet and a PC terminal; the intelligent safety helmet comprises a first camera module for shooting and acquiring face information of a current user; the positioning module performs positioning; the wearing recognition module judges whether a safety helmet is worn or not; the tag reading device comprises a card reader and an electronic tag; the capacitance sensor judges whether the mandibular belt is fastened or not; the collision detection module detects the collision force of the safety helmet; the brain electrical sensor acquires brain electrical signals of the current user; the anomaly estimation module estimates whether the current electroencephalogram signal of the user is abnormal or not; the alarm module carries out voice reminding and sends alarm information to the PC terminal. The safety helmet is monitored in multiple directions by detecting whether the safety helmet is worn or not, identifying whether the mandibular belt is tied or not through the card reader and the electronic tag, and detecting whether the mandibular belt is tied or not through the capacitive sensor, so that the safety of a wearer is further guaranteed.
Description
Technical Field
The invention relates to the technical field of safety supervision, in particular to a safety supervision system based on an intelligent safety helmet.
Background
When working on a construction site or other dangerous scenes, the safety helmet can be worn to improve the protectiveness to operators, and accidents often occur due to the fact that the operators are not centralized in distribution and the operators are insufficient in automatic law, and the safety helmet is not monitored with enough supervision.
The patent publication No. CN113017183A discloses a safety helmet and a safety supervision system, wherein a pulse sensor is attached between the cheek and the temple of the head of a human body, pulse wave signals of a wearer are collected, whether the safety helmet is worn or not is judged, whether the mandibular belt of the safety helmet is tied or not and the tightness are important safety indexes, but the prior art cannot carry out safety supervision on the mandibular belt.
Disclosure of Invention
The invention provides a safety supervision system based on an intelligent safety helmet for solving the technical problems in the prior art, which comprises the intelligent safety helmet and a PC terminal communicated with the intelligent safety helmet; the intelligent safety helmet comprises: the device comprises a main control module, a first camera module, an information input module, a positioning module, a wearing identification module, a mandibular belt identification module, an impact detection module, a physical sign detection module and an alarm module;
the first camera module is used for shooting and acquiring face information of a current user;
the information input module is used for inputting the face information of the area to be worn and the current user;
the positioning module is used for acquiring the current position of the safety helmet;
the wearing identification module is used for judging whether the intelligent safety helmet is worn in the area needing wearing by the current user;
the mandibular band identification module includes: a tag reading device and a capacitance sensor;
the tag reading device is used for identifying whether the mandibular belt is tied or not;
the tag reading device comprises a card reader arranged in the mandibular buckle shell and an electronic tag arranged on the mandibular buckle piece;
the capacitance sensor is arranged on a mandible support pad of the mandible belt and is used for judging whether the mandible belt is fastened or not;
the impact detection module is used for detecting the impact force of the intelligent safety helmet;
the physical sign detection module comprises an electroencephalogram sensor and an abnormality estimation module;
the brain electrical sensor is arranged on a cap liner of the intelligent safety helmet and used for acquiring brain electrical signals of a current user;
the abnormality estimation module is used for estimating whether the current electroencephalogram signal of the user is abnormal or not;
and the alarm module is used for carrying out voice reminding and sending alarm information to the PC terminal.
Further, the wear identification module includes: a first pressure sensor and a shoulder identification module;
the first pressure sensor is arranged on a cap liner of the intelligent safety helmet and used for acquiring a first pressure value;
and the shoulder recognition module is used for shooting and recognizing shoulder images of the human body.
Further, the wearing recognition module judges whether the current user wears the intelligent safety helmet in the area needing to be worn, specifically:
if the current position of the intelligent safety helmet is in the area to be worn, the first pressure sensor judges the magnitude of a first pressure value;
if the first pressure value is less than the preset minimum pressure or the first pressure value is greater than the preset maximum pressure, judging that the safety helmet is not worn;
if the preset minimum pressure is less than or equal to the first pressure value and less than or equal to the preset maximum pressure, the shoulder recognition module is started and shoots and recognizes whether the current image is a shoulder image of a human body, and if so, the current user is judged to wear the intelligent safety helmet; if not, judging that the intelligent safety helmet is not worn;
when the intelligent safety helmet is judged not to be worn, the alarm module carries out voice wearing reminding and sends wearing alarm information to the PC terminal.
Further, the electronic tag adopts an RFID electronic tag; the card reader adopts an RFID card reader.
Further, the positioning module adopts GPS positioning or Beidou positioning.
Further, the tag reading device identifies whether the mandibular belt is tied, specifically:
the card reader identifies whether the information of the electronic tag is read, if so, the card reader judges that the mandibular buckle piece is inserted into the mandibular buckle shell, and the mandibular belt is tied; if not, the mandibular buckle piece is not inserted into the mandibular buckle shell, the mandibular belt is not tied, and the alarm module carries out mandibular belt non-tied voice reminding and sends mandibular belt non-tied alarm information to the PC terminal.
Further, the capacitive sensor judges whether the mandibular belt is fastened, specifically:
if the capacitance sensor detects that the capacitance voltage changes through weak current between the capacitance sensor and the skin of the current user, the capacitance sensor is tightly attached to the skin of the current user, and the mandibular belt is determined to be tightly fastened; if the capacitance sensor does not detect that the capacitance voltage changes, the capacitance sensor is not tightly attached to the skin of a current user, the fact that the mandibular belt is not tightly fastened is judged, and the alarm module carries out mandibular belt non-tightening voice reminding and sends mandibular belt non-tightening alarm information to the PC terminal.
Further, the impact detection module detects a second pressure value by adopting a second pressure sensor;
the second pressure value is the impacted strength of the intelligent safety helmet; when the second pressure value is greater than or equal to a set safety threshold, the alarm module carries out dangerous impact voice reminding and sends dangerous impact alarm information to the PC terminal, and the PC terminal sends positioning information and dangerous impact alarm information of the current intelligent safety helmet to intelligent safety helmets connected with other communication to carry out voice broadcasting.
Further, the anomaly estimation module compares and analyzes the frequency and amplitude of the current user's brain electrical signal with those of a normal person in a awake period, if the frequency and/or amplitude of the current user's brain electrical signal is abnormal, the first camera module is started to shoot a plurality of image forming environment image sets and send the image sets to the PC terminal, and the alarm module sends brain electrical anomaly alarm information to the PC terminal.
Further, the PC terminal analyzes the environment images, if the number of images with the same scene in the environment image set does not exceed a set threshold, the images are evaluated as first-level abnormality, and an alarm module carries out electroencephalogram abnormality voice reminding; otherwise, the evaluation is the second-level abnormality, the alarm module carries out buzzing alarm, and the PC terminal sends the positioning information and the electroencephalogram abnormality alarm information of the current intelligent safety helmet to the intelligent safety helmet connected with other communication for voice broadcasting.
Compared with the prior art, the invention has the beneficial effects that:
1. the wearing state is identified by pressure detection through the first pressure sensor, meanwhile, shoulder image identification is carried out through the shoulder identification module according to the pressure value change of the first pressure sensor, whether the cap is removed or not is detected, and erroneous judgment of the wearing state caused by putting other articles into the safety cap is prevented;
2. the method comprises the steps that wireless radio frequency identification is carried out through a card reader arranged in a mandibular belt buckle shell and an electronic tag arranged on a mandibular belt buckle piece, so that the lacing state of a mandibular belt is rapidly judged; and rapidly judging the tightening degree of the mandibular belt through the change of the capacitance voltage of the capacitance sensor.
3. Detecting the number of the impacted force of the safety helmet through a second pressure sensor, and sending information to other safety helmets communicating with the PC terminal according to the number to remind other safety helmet users to timely rescue the impacted people;
4. by analyzing the electroencephalogram abnormal information and the same scene image number of the environment image set, whether the current user is in a coma state or not can be estimated, and other safety helmet users are informed to rescue in time.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a block diagram of the configuration of the wearable identification module of the present invention;
FIG. 3 is a block diagram of the mandibular belt identification module of the present invention;
fig. 4 is a block diagram of the physical sign detection module of the present invention.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1 to 4, the safety supervision system based on the intelligent safety helmet provided by the invention comprises the intelligent safety helmet and a PC terminal in communication with the intelligent safety helmet; the intelligent safety helmet comprises: the device comprises a main control module, a first camera module, an information input module, a positioning module, a wearing identification module, a mandibular belt identification module, an impact detection module, a physical sign detection module and an alarm module;
the main control module is respectively connected with the first camera module, the information input module, the positioning module, the wearing identification module, the mandibular belt identification module, the impact detection module, the physical sign detection module and the alarm module in an electric or communication mode.
The first camera module is used for shooting and acquiring face information of a current user.
The information input module is used for inputting the face information of the area to be worn and the current user; the area to be worn is subjected to wireless communication input through the PC terminal.
The positioning module is used for acquiring the current position of the safety helmet; the positioning module adopts GPS positioning or Beidou positioning.
The wearing identification module is used for judging whether a current user wears the safety helmet in the area needing to be worn;
the wearing identification module comprises: a first pressure sensor and a shoulder identification module;
the first pressure sensor is arranged on a cap liner of the intelligent safety helmet and used for acquiring a first pressure value;
the shoulder recognition module is used for shooting and recognizing shoulder images of the human body;
the shoulder recognition module shoots through the camera device, the shooting direction of the camera device is opposite to the direction of the crown of the intelligent safety helmet.
After the user wears the safety helmet, the first pressure value obtained by the first pressure sensor is the pressure between the safety helmet and the head of the user, the tightness between the safety helmet and the head of the user determines the magnitude of the first pressure value under the normal wearing condition, the first pressure value is in a pressure range, if the first pressure value is smaller than the minimum pressure of the pressure range, the safety helmet is not worn, and if the first pressure value is larger than the maximum pressure of the pressure range, the user is suspected to apply pressure to the first pressure sensor by using other objects, and the user is judged not to wear the safety helmet.
Therefore, the operation of wearing the identification module is specifically: after face information of a current user is acquired, if the current position of the safety helmet is in a region to be worn, judging the magnitude of a first pressure value; if the first pressure value is less than the preset minimum pressure or the first pressure value is greater than the preset maximum pressure, judging that the safety helmet is not worn; if the preset minimum pressure is less than or equal to the first pressure value and less than or equal to the preset maximum pressure, the shoulder recognition module is started and shoots and recognizes whether the current image is a shoulder image of a human body, and if so, the current user is judged to wear the safety helmet; if not, judging that the safety helmet is not worn; when the safety helmet is judged not to be worn, the alarm module carries out wearing voice reminding and sends wearing alarm information to the PC terminal.
The mandibular band identifying module is used for identifying whether the mandibular band is tied or not and whether the mandibular band is fastened or not;
the mandibular band identification module includes: a tag reading device and a capacitance sensor;
a tag reading device comprising a card reader disposed in the mandibular buckle housing and an electronic tag disposed on the mandibular buckle tab;
after the card reader receives the identification signal sent by the wearing identification module, the card reader starts to identify whether the information of the electronic tag is read, if so, the mandibular belt buckle piece is judged to be inserted into the mandibular belt buckle shell, namely, the mandibular belt is tied; if not, the mandibular buckle piece is not inserted into the mandibular buckle shell, namely the mandibular belt is not tied, and the alarm module carries out the mandibular belt non-tied voice reminding and sends mandibular belt non-tied alarm information to the PC terminal.
In order to prevent a user from connecting the lower jaw buckle piece of the intelligent safety helmet with the lower jaw buckle shell of the safety helmet by using other buckle pieces or removing other safety helmet, the electronic tag of the intelligent safety helmet stores a tag ID number; the card reader of the intelligent safety helmet also stores the tag ID number of the electronic tag of the current intelligent safety helmet;
when the card reader reads the tag ID number of the electronic tag, judging whether the tag ID number is the same as the tag ID number stored by the card reader, if so, judging that the mandibular belt buckle shell of the current intelligent safety helmet corresponds to the mandibular belt buckle piece, namely, the mandibular belt of the current intelligent safety helmet is correctly tied; if the mandible belt buckle shell and the mandible belt buckle piece are not the same, the mandible belt buckle shell and the mandible belt buckle piece of the current intelligent safety helmet are not corresponding, namely the mandible belt error tying of the current intelligent safety helmet is judged, and the alarm module carries out mandible belt error tying voice reminding and sends mandible belt error tying alarm information to the PC terminal.
The electronic tag adopts an RFID electronic tag; the card reader adopts an RFID card reader.
The human skin is electrolyte with loss, namely the electrolyte is equivalent to a conductive electrode; in general, a small amount of energy overflows outside a capacitor plate in the capacitive sensor to form a fringe electric field; when human skin contacts the capacitive sensor, the outer area of the capacitor plate corresponds to an energy overflow area, increasing the conductive surface area, and the capacitance voltage changes.
The capacitive sensing mode which can be selectively adopted by the capacitive sensor comprises self-capacitance sensing and mutual capacitance sensing.
The capacitance sensor is arranged on a mandible support pad of the mandible belt and is used for judging whether the capacitance voltage change occurs or not so as to judge whether the mandible belt is fastened or not;
under the condition that the mandibular belt is fastened, the mandibular pad of the mandibular belt is tightly contacted with the mandible of the current user, namely the skin of the current user is tightly contacted with the capacitance sensor.
The method comprises the following steps: when the capacitance sensor detects that the capacitance voltage changes through weak current between the capacitance sensor and the skin of the current user, the capacitance sensor is tightly attached to the skin of the current user, and then the mandibular belt is tightly fastened; if the capacitance sensor does not detect that the capacitance voltage changes, the fact that the capacitance sensor is not tightly attached to the skin of a current user is indicated, the fact that the mandibular belt is not tightly attached is further judged, and the alarming module carries out mandibular belt non-tightening voice reminding and sends mandibular belt non-tightening alarming information to the PC terminal.
The impact detection module detects a second pressure value by adopting a second pressure sensor;
the second pressure value is the impacted strength of the intelligent safety helmet; when the second pressure value is greater than or equal to the set safety threshold, the alarm module carries out dangerous impact voice reminding and sends dangerous impact alarm information to the PC terminal, and the PC terminal sends the positioning information and the dangerous impact alarm information of the current intelligent safety helmet to other intelligent safety helmets in communication connection for voice broadcasting.
The physical sign detection module comprises an electroencephalogram sensor and an abnormality estimation module;
the brain electrical sensor is arranged on a cap liner of the intelligent safety helmet and used for acquiring brain electrical signals of a current user;
the abnormality estimation module is used for estimating whether the current electroencephalogram signal of the user is abnormal or not; the method comprises the following steps: comparing and analyzing the frequency and amplitude of the current user's electroencephalogram signal with those of a normal person in a awake period, if the frequency and/or amplitude of the current user's electroencephalogram signal is abnormal, starting the first camera module, shooting a plurality of images to form an environment image set, and sending the environment image set to the PC terminal, and simultaneously sending electroencephalogram abnormal alarm information to the PC terminal by the alarm module;
the PC terminal analyzes the environment images, if the number of images of the same scene in the environment image set does not exceed a set threshold, the images are evaluated as first-level abnormality, and an alarm module carries out electroencephalogram abnormality voice reminding; otherwise, the evaluation is the second-level abnormality, the alarm module carries out buzzing alarm, and the PC terminal sends the positioning information and the electroencephalogram abnormality alarm information of the current intelligent safety helmet to the intelligent safety helmet connected with other communication for voice broadcasting.
The invention has the beneficial effects that: 1. the wearing state is identified by pressure detection through the first pressure sensor, meanwhile, shoulder image identification is carried out through the shoulder identification module according to the pressure value change of the first pressure sensor, whether the cap is removed or not is detected, and erroneous judgment of the wearing state caused by putting other articles into the safety cap is prevented;
2. the method comprises the steps that wireless radio frequency identification is carried out through a card reader arranged in a mandibular belt buckle shell and an electronic tag arranged on a mandibular belt buckle piece, so that the lacing state of a mandibular belt is rapidly judged; and rapidly judging the tightening degree of the mandibular belt through the change of the capacitance voltage of the capacitance sensor.
3. Detecting the number of the impacted force of the safety helmet through a second pressure sensor, and sending information to other safety helmets communicating with the PC terminal according to the number to remind other safety helmet users to timely rescue the impacted people;
4. by analyzing the electroencephalogram abnormal information and the same scene image number of the environment image set, whether the current user is in a coma state or not can be estimated, and other safety helmet users are informed to rescue in time.
It will be apparent to those skilled in the art from this disclosure that various other changes and modifications can be made which are within the scope of the invention as defined in the appended claims.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (10)
1. The safety supervision system based on the intelligent safety helmet is characterized by comprising the intelligent safety helmet and a PC terminal which is communicated with the intelligent safety helmet; the intelligent safety helmet comprises: the device comprises a main control module, a first camera module, an information input module, a positioning module, a wearing identification module, a mandibular belt identification module, an impact detection module, a physical sign detection module and an alarm module;
the first camera module is used for shooting and acquiring face information of a current user;
the information input module is used for inputting the face information of the area to be worn and the current user;
the positioning module is used for acquiring the current position of the safety helmet;
the wearing identification module is used for judging whether the intelligent safety helmet is worn in the area needing wearing by the current user;
the mandibular band identification module includes: a tag reading device and a capacitance sensor;
the tag reading device is used for identifying whether the mandibular belt is tied or not;
the tag reading device comprises a card reader arranged in the mandibular buckle shell and an electronic tag arranged on the mandibular buckle piece;
the capacitance sensor is arranged on a mandible support pad of the mandible belt and is used for judging whether the mandible belt is fastened or not;
the impact detection module is used for detecting the impact force of the intelligent safety helmet;
the physical sign detection module comprises an electroencephalogram sensor and an abnormality estimation module;
the brain electrical sensor is arranged on a cap liner of the intelligent safety helmet and used for acquiring brain electrical signals of a current user;
the abnormality estimation module is used for estimating whether the current electroencephalogram signal of the user is abnormal or not;
and the alarm module is used for carrying out voice reminding and sending alarm information to the PC terminal.
2. The intelligent-headgear-based safety supervision system according to claim 1, wherein the wear identification module comprises: a first pressure sensor and a shoulder identification module;
the first pressure sensor is arranged on a cap liner of the intelligent safety helmet and used for acquiring a first pressure value;
and the shoulder recognition module is used for shooting and recognizing shoulder images of the human body.
3. The safety supervision system based on intelligent safety helmets according to claim 2, wherein the wearing recognition module determines whether the current user wears the intelligent safety helmets in the area to be worn, specifically:
if the current position of the intelligent safety helmet is in the area to be worn, the first pressure sensor judges the magnitude of a first pressure value;
if the first pressure value is less than the preset minimum pressure or the first pressure value is greater than the preset maximum pressure, judging that the safety helmet is not worn;
if the preset minimum pressure is less than or equal to the first pressure value and less than or equal to the preset maximum pressure, the shoulder recognition module is started and shoots and recognizes whether the current image is a shoulder image of a human body, and if so, the current user is judged to wear the intelligent safety helmet; if not, judging that the intelligent safety helmet is not worn;
when the intelligent safety helmet is judged not to be worn, the alarm module carries out voice wearing reminding and sends wearing alarm information to the PC terminal.
4. The intelligent-helmet-based security monitoring system of claim 1, wherein the electronic tag is an RFID electronic tag; the card reader adopts an RFID card reader.
5. The intelligent-helmet-based safety supervision system according to claim 1, wherein the positioning module employs GPS positioning or beidou positioning.
6. The safety supervision system based on intelligent helmets according to claim 1, wherein the tag reading device identifies whether a mandibular strap is tied, in particular:
the card reader identifies whether the information of the electronic tag is read, if so, the card reader judges that the mandibular buckle piece is inserted into the mandibular buckle shell, and the mandibular belt is tied; if not, the mandibular buckle piece is not inserted into the mandibular buckle shell, the mandibular belt is not tied, and the alarm module carries out mandibular belt non-tied voice reminding and sends mandibular belt non-tied alarm information to the PC terminal.
7. The safety supervision system based on intelligent safety helmets according to claim 1, wherein the capacitive sensor determines whether the mandibular belt is tightened, in particular:
if the capacitance sensor detects that the capacitance voltage changes through weak current between the capacitance sensor and the skin of the current user, the capacitance sensor is tightly attached to the skin of the current user, and the mandibular belt is determined to be tightly fastened; if the capacitance sensor does not detect that the capacitance voltage changes, the capacitance sensor is not tightly attached to the skin of a current user, the fact that the mandibular belt is not tightly fastened is judged, and the alarm module carries out mandibular belt non-tightening voice reminding and sends mandibular belt non-tightening alarm information to the PC terminal.
8. The intelligent headgear-based safety supervision system of claim 1, wherein the impact detection module detects a second pressure value using a second pressure sensor;
the second pressure value is the impacted strength of the intelligent safety helmet; when the second pressure value is greater than or equal to a set safety threshold, the alarm module carries out dangerous impact voice reminding and sends dangerous impact alarm information to the PC terminal, and the PC terminal sends positioning information and dangerous impact alarm information of the current intelligent safety helmet to intelligent safety helmets connected with other communication to carry out voice broadcasting.
9. The safety supervision system based on the intelligent safety helmet according to claim 1, wherein the anomaly estimation module compares the frequency and the amplitude of the current user's electroencephalogram with those of a normal person in a awake period, if the frequency and/or the amplitude of the current user's electroencephalogram are abnormal, the first camera module is started, shoots a plurality of image forming environment image sets and sends the image forming environment image sets to the PC terminal, and the alarm module sends electroencephalogram anomaly alarm information to the PC terminal.
10. The safety supervision system based on the intelligent safety helmet according to claim 9, wherein the PC terminal analyzes the environmental images, and if the number of images with the same scene in the environmental image set does not exceed a set threshold, the images are evaluated as first-level abnormality, and the alarm module carries out electroencephalogram abnormality voice reminding; otherwise, the evaluation is the second-level abnormality, the alarm module carries out buzzing alarm, and the PC terminal sends the positioning information and the electroencephalogram abnormality alarm information of the current intelligent safety helmet to the intelligent safety helmet connected with other communication for voice broadcasting.
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| CN202311678185.7A CN117392807A (en) | 2023-12-08 | 2023-12-08 | Safety supervision system based on intelligent safety helmet |
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