CN110179198A - The method for early warning and device of intelligent safety helmet - Google Patents
The method for early warning and device of intelligent safety helmet Download PDFInfo
- Publication number
- CN110179198A CN110179198A CN201910496653.6A CN201910496653A CN110179198A CN 110179198 A CN110179198 A CN 110179198A CN 201910496653 A CN201910496653 A CN 201910496653A CN 110179198 A CN110179198 A CN 110179198A
- Authority
- CN
- China
- Prior art keywords
- safety helmet
- intelligent safety
- physiological parameter
- real
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- 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
-
- 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
Abstract
The invention discloses a kind of method for early warning of intelligent safety helmet and devices, this method comprises: determining the collected target component of sensing device on intelligent safety helmet, and judge whether intelligent safety helmet is in by wearing state based on the target component;When judging that intelligent safety helmet is not in by wearing state, current geographic position locating for positioning intelligent safety cap;Judge whether the current geographic position is located in the danger zone for predefining and, when judging to be located in the danger zone for predefining and, prompting message is worn in output, and the wearing prompting message is for prompting corresponding target person to be in danger zone and the target person being prompted to wear intelligent safety helmet.It can be seen that, the case where bringing security risk to corresponding personnel due to corresponding personnel wear intelligent safety helmet not in time generation can be reduced by implementing the present invention, the security performance of intelligent safety helmet is improved, so that intelligent safety helmet is more intelligent, is conducive to improve the usage experience to intelligent safety helmet.
Description
Technical field
The present invention relates to intelligent safety helmet technical field more particularly to the method for early warning and device of a kind of intelligent safety helmet.
Background technique
Based on the limitation of the execution conditions such as geographical location, weather, the construction scene of Most current can not be by intelligence
Construction equipment realizes intelligent, automated construction, it is still desirable to the participation of many construction personnel.Due to some districts in construction scene
There are the security risks such as high-altitude junk in domain, in order to ensure construction safety of the construction personnel in construction scene, each construction personnel
It is equipped with corresponding safety cap.
However, practice discovery, the case where often will appear construction personnel's non-safe wearing cap in scene of constructing, such as: by
In carelessness or it is pressed for time, the case where construction personnel wears the safety cap in hand not in time, this non-safe wearing cap
Very big security risk is brought to corresponding construction personnel, reduces the security performance of safety cap.
Summary of the invention
Technical problem to be solved by the present invention lies in, the method for early warning and device of a kind of intelligent safety helmet are provided, it can
The case where reduction brings security risk to corresponding personnel because wearing intelligent safety helmet not in time generation, improves intelligent safety helmet
Security performance.
In order to solve the above-mentioned technical problem, first aspect of the embodiment of the present invention discloses a kind of pre- police of intelligent safety helmet
Method, which comprises
It determines the collected target component of sensing device on the intelligent safety helmet, and is based on the collected target
Parameter judges whether the intelligent safety helmet is in by wearing state;
When judge the intelligent safety helmet be not in it is described by wearing state when, position locating for the intelligent safety helmet
Current geographic position;
Judge whether the current geographic position is located in the danger zone for predefining and, when judging the current position
When reason position is located in the danger zone, prompting message is worn in output, and the wearing prompting message is for prompting corresponding mesh
Mark personnel are currently at danger zone and the prompt target person wears the intelligent safety helmet.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the method also includes:
Judge whether the current geographic position is located at and predefine the construction area of going out, when judging the current geographic
When position is not located at the construction area, output construction prompting message, the construction prompting message is for prompting the target person
Member wears the intelligent safety helmet and returns to the construction area, wherein the construction area is to match with the target person
Construction area.
As an alternative embodiment, judging the current geographic in first aspect of the embodiment of the present invention
Position is not located at after the construction area, the method also includes:
Determine current date, current time and the corresponding timetable of arranging an order according to class and grade of constructing of the target person, the construction row
Class's timetable includes the target date and the construction needed for each target date that the target person is constructed
Target time section;
Judge that the target person is in the current time of the current date according to the construction timetable of arranging an order according to class and grade
No to need to construct, when judging the target person when the current time of the current date needs to construct, triggering is held
The operation of the row output construction prompting message.
As an alternative embodiment, the target component includes at least in first aspect of the embodiment of the present invention
The real-time physiological parameter set of the target person, the method also includes:
When judge the intelligent safety helmet be in it is described by wearing state when, judge the real-time physiological parameter set packet
Whether the physiological parameter included meets preset normal physiological conditions;
When judging that the physiological parameter that the real-time physiological parameter set includes is unsatisfactory for the preset normal physiological conditions
When, output abnormality prompting message, the abnormal prompt message is for prompting the target person to be currently at body abnormality state.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the judgement real-time physiological
Whether the physiological parameter that parameter sets include meets preset normal physiological conditions, comprising:
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter classes
Type obtains the normal physiological to match with each parameter type from the normal physiological parameter sets of the target person joins
Number, and judge to join in the real-time physiological parameter set with the presence or absence of with the unmatched desired physiological of corresponding normal physiological parameter
Number, when judging to determine the real-time physiological parameter there are when the target physiological parameter in the real-time physiological parameter set
The physiological parameter that set includes is unsatisfactory for preset normal physiological conditions;Alternatively,
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter classes
Type obtains the normal physiological to match with each parameter type from the normal physiological parameter sets of the target person joins
Number, and each physiological parameter is set with the difference degree of corresponding normal physiological parameter according to each physiological parameter
Characteristic value;
The weighted value of each physiological parameter is obtained, and calculates the characteristic value and weighted value of each physiological parameter
Product, obtains the corresponding product value of each physiological parameter, and calculate the corresponding product value of all physiological parameters it
With obtain the real time health score value of the target person;
Judge whether the real time health score value is less than or equal to default healthy score value, when judging the real time health point
When value is less than or equal to the default healthy score value, it is pre- to determine that physiological parameter that the real-time physiological parameter set includes is unsatisfactory for
Set normal physiological conditions.
Second aspect of the embodiment of the present invention discloses a kind of prior-warning device of intelligent safety helmet, and described device includes:
First determining module, for determining the collected target component of sensing device on the intelligent safety helmet;
Judgment module is worn for judging whether the intelligent safety helmet is in based on the collected target component
State;
Locating module, for judge that the intelligent safety helmet is not in described by wearing state when the judgment module
When, position current geographic position locating for the intelligent safety helmet;
The judgment module is also used to judge whether the current geographic position is located at and predefines the danger zone of going out
It is interior;
Output module, for judging that the current geographic position is located in the danger zone when the judgment module
When, output wear prompting message, the wearings prompting message be used for prompt corresponding target person be currently at danger zone and
The target person is prompted to wear the intelligent safety helmet.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the judgment module is also used to sentence
Whether the current geographic position that breaks, which is located at, predefines the construction area of going out;
The output module is also used to judge that the current geographic position is not located at the construction when the judgment module
When region, output construction prompting message, the construction prompting message is for prompting the target person to wear the intelligent and safe
Cap returns to the construction area;
Wherein, the construction area is the construction area to match with the target person.
As an alternative embodiment, in second aspect of the embodiment of the present invention, described device further include:
Second determining module, for judging that the current geographic position is not located at the construction area in the judgment module
After domain, determine that current date, current time and the corresponding timetable of arranging an order according to class and grade of constructing of the target person, the construction are arranged an order according to class and grade
Timetable includes the target date that the target person is constructed and the construction needed for each target date
Target time section;
The judgment module is also used to judge that the target person works as the day before yesterday described according to the construction timetable of arranging an order according to class and grade
Whether the current time of phase needs to construct;
The concrete mode of the output module output construction prompting message are as follows:
When the judgment module judges that the target person needs to construct in the current time of the current date
When, output construction prompting message.
As an alternative embodiment, the target component includes at least in second aspect of the embodiment of the present invention
The real-time physiological parameter set of the target person;
The judgment module, be also used to when judge the intelligent safety helmet be in it is described by wearing state when, judge institute
State whether the physiological parameter that real-time physiological parameter set includes meets preset normal physiological conditions;
The output module is also used to judge the physiology that the real-time physiological parameter set includes when the judgment module
When parameter is unsatisfactory for the preset normal physiological conditions, output abnormality prompting message, the abnormal prompt message is for prompting institute
It states target person and is currently at body abnormality state.
As an alternative embodiment, in second aspect of the embodiment of the present invention, described in the judgment module judgement
Whether the physiological parameter that real-time physiological parameter set includes meets the concrete mode of preset normal physiological conditions are as follows:
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter classes
Type obtains the normal physiological to match with each parameter type from the normal physiological parameter sets of the target person joins
Number, and judge to join in the real-time physiological parameter set with the presence or absence of with the unmatched desired physiological of corresponding normal physiological parameter
Number, when judging to determine the real-time physiological parameter there are when the target physiological parameter in the real-time physiological parameter set
The physiological parameter that set includes is unsatisfactory for preset normal physiological conditions;Alternatively,
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter classes
Type obtains the normal physiological to match with each parameter type from the normal physiological parameter sets of the target person joins
Number, and each physiological parameter is set with the difference degree of corresponding normal physiological parameter according to each physiological parameter
Characteristic value;
The weighted value of each physiological parameter is obtained, and calculates the characteristic value and weighted value of each physiological parameter
Product, obtains the corresponding product value of each physiological parameter, and calculate the corresponding product value of all physiological parameters it
With obtain the real time health score value of the target person;
Judge whether the real time health score value is less than or equal to default healthy score value, when judging the real time health point
When value is less than or equal to the default healthy score value, it is pre- to determine that physiological parameter that the real-time physiological parameter set includes is unsatisfactory for
Set normal physiological conditions.
The third aspect of the embodiment of the present invention discloses the prior-warning device of another intelligent safety helmet, and described device includes:
It is stored with the memory of executable program code;
The processor coupled with the memory;
The processor calls the executable program code stored in the memory, executes the embodiment of the present invention the
Step some or all of in the method for early warning of intelligent safety helmet disclosed in one side.
Fourth aspect of the embodiment of the present invention disclose a kind of computer can storage medium, the computer storage medium storage
There is computer instruction, when the computer instruction is called, intelligently pacifies disclosed in first aspect of the embodiment of the present invention for executing
Step some or all of in the method for early warning of full cap.
Compared with prior art, the embodiment of the present invention has the advantages that
In the embodiment of the present invention, the collected target component of sensing device on intelligent safety helmet is determined, and based on acquisition
To target component judge whether intelligent safety helmet is in by wearing state;When judging that intelligent safety helmet is not in by wearing shape
When state, current geographic position locating for positioning intelligent safety cap;Judge whether the current geographic position is located at default danger zone
Interior, when judging that the current geographic position is located in default danger zone, prompting message, the wearing prompting message are worn in output
For prompting corresponding target person to be in danger zone and the target person being prompted to wear intelligent safety helmet.As it can be seen that implementing this
Invention can further judge whether corresponding personnel are located at danger zone when corresponding personnel do not wear intelligent safety helmet, if
It is then to be exported to corresponding personnel and wear prompting message to prompt corresponding personnel to wear intelligent safety helmet in time, can reduced in this way
The case where bringing security risk to corresponding personnel due to corresponding personnel wear intelligent safety helmet not in time generation, improves intelligent peace
The security performance of full cap is conducive to improve the usage experience to intelligent safety helmet so that intelligent safety helmet is more intelligent.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is a kind of flow diagram of the method for early warning of intelligent safety helmet disclosed by the embodiments of the present invention;
Fig. 2 is the flow diagram of the method for early warning of another intelligent safety helmet disclosed by the embodiments of the present invention;
Fig. 3 is a kind of structural schematic diagram of the prior-warning device of intelligent safety helmet disclosed by the embodiments of the present invention;
Fig. 4 is the structural schematic diagram of the prior-warning device of another intelligent safety helmet disclosed by the embodiments of the present invention;
Fig. 5 is the structural schematic diagram of the prior-warning device of another intelligent safety helmet disclosed by the embodiments of the present invention.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Description and claims of this specification and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as process, method, device, product or the end for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally further comprising
For these process, methods, other step or units of product or end inherently.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
Containing at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
The invention discloses a kind of method for early warning of intelligent safety helmet and devices, can not wear intelligent peace in corresponding personnel
When full cap, further judge whether corresponding personnel are located at danger zone, wears prompting message if it is, exporting to corresponding personnel
To prompt corresponding personnel to wear intelligent safety helmet in time, can be reduced due to corresponding personnel wear intelligent safety helmet not in time in this way
The case where bringing security risk to corresponding personnel generation, improves the security performance of intelligent safety helmet, so that intelligent safety helmet is more
The intelligence added is conducive to improve the usage experience to intelligent safety helmet.It is described in detail separately below.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of process signal of the method for early warning of intelligent safety helmet disclosed by the embodiments of the present invention
Figure.Wherein, method described in Fig. 1 can be applied in intelligent safety helmet.As shown in Figure 1, the pre- police of the intelligent safety helmet
Method may include following operation:
101, intelligent safety helmet determines the collected target component of the sensing device on intelligent safety helmet.
In the embodiment of the present invention, sensing device is provided on intelligent safety helmet, the sensing device can for contact sensor,
At least one of pressure sensor, motion sensor, ultrasonic sensor and physiological parameter sensors, the embodiment of the present invention
Without limitation.Wherein, different sensors is used to acquire exposure parameter for acquiring different parameters, contact sensor, such as:
Current value, voltage value etc.;Pressure sensor is for acquiring pressure value, and pressure value can be indicated by specific pressure value,
It can be indicated by capacitance for reaction pressure force value size or resistance value;Physiological parameter sensors are corresponding for acquiring
Physiological parameter, such as at least one of body temperature, heart rate, breathing rate, blood pressure and amount of sweat, the embodiment of the present invention is not limited
It is fixed;Motion sensor is used to acquire the kinematic parameter of intelligent safety helmet, such as the direction of motion, movement velocity, acceleration of motion;Ultrasound
Wave sensor is for detecting the distance between intelligent safety helmet and barrier value.
102, intelligent safety helmet is based on collected target component and judges whether intelligent safety helmet is in by wearing state, when
When the judging result of step 102 is no, it can trigger and execute step 103, when the judging result of step 102, which is, is, Ke Yijie
Shu Benci process.
In the embodiment of the present invention, as an alternative embodiment, intelligent safety helmet is based on collected target component
Judge whether intelligent safety helmet is in by wearing state, may include:
Intelligent safety helmet determines parameter type corresponding to collected target component, the ginseng according to corresponding to target component
Several classes of types determine default wearing conditions corresponding with each parameter type;
Intelligent safety helmet judges whether the parameter value of each parameter included by target component meets the parameter with the parameter
The corresponding default wearing conditions of type, obtain the wearing judging result of each parameter, wherein when the parameter value of a certain parameter meets
When the corresponding default wearing conditions of the parameter type of the parameter, the wearing judging result of the parameter indicates that intelligent safety helmet is worn
It wears, when the corresponding default wearing conditions of the parameter type that the parameter value of a certain parameter is unsatisfactory for the wearing parameter, the parameter
Wearing judging result indicates that intelligent safety helmet is not worn;
Intelligent safety helmet is determined according to the wearing judging result of parameter each in target component for indicating intelligent safety helmet
The wearing judging result worn ratio value shared in all wearing judging results;
Whether the ratio value that intelligent safety helmet judgement is determined is more than preset ratio threshold value (such as 80%), when judging result is
When being, determines that intelligent safety helmet is in by wearing state, when the judgment result is no, determine that intelligent safety helmet is not in and worn
State.
As it can be seen that the optional embodiment can be based on the collected parameter intelligent of sensing device on intelligent safety helmet
The wearing state for judging intelligent safety helmet, enriches the function of intelligent safety helmet, and improves the wearing for judging intelligent safety helmet
The efficiency and accuracy rate of state;Additionally it is possible to all target component intellectual determination intelligent safety helmets that synthetical collection arrives
Whether in by wearing state, the accuracy and reliability of judging result are improved.
103, current geographic position locating for intelligent safety helmet positioning intelligent safety cap.
In the embodiment of the present invention, intelligent safety helmet can pass through current position locating for GPS and base station location intelligent safety helmet
Position is managed, the current geographic position where intelligent safety helmet can also be obtained by location-server or other terminal devices,
As the current geographic position navigated to.
As an alternative embodiment, the current geographic position where obtaining intelligent safety helmet by location-server
When setting, current geographic position locating for intelligent safety helmet positioning intelligent safety cap may include:
Intelligent safety helmet sends position acquisition request to multiple location-servers, and position acquisition request includes that this is intelligently pacified
The unique identification of full cap;
Intelligent safety helmet timing since the sending instant that position acquisition is requested, and determine and reach default in the duration of timing
Received all position acquisitions response during duration threshold value, each position acquisition response includes sending the position acquisition
The geographical location for the intelligent safety helmet that the location-server of response is navigated to;
Intelligent safety helmet judges whether the quantity of position acquisition response is 1, if it is, by wrapping in position acquisition response
The geographical location included is as current geographic position locating for the intelligent safety helmet navigated to;If the quantity of position acquisition response is big
In 1, then the highest geographical location of frequency of occurrence is screened from the included all geographical locations of all position acquisitions response, as
Current geographic position locating for the intelligent safety helmet navigated to.It can be improved geography locating for the intelligent safety helmet oriented in this way
The safety and efficiency of position.
As another optional embodiment, the current position where obtaining intelligent safety helmet by other terminal devices
When managing position, current geographic position locating for intelligent safety helmet positioning intelligent safety cap may include:
Intelligent safety helmet detects whether there is terminal device (such as Intelligent bracelet, intelligence for establishing short-distance wireless connection therewith
The intelligent wearable device such as energy glasses), when the test results is yes, geographical location acquisition request is sent to the terminal device, with
It triggers geographical location locating for the terminal device positioning terminal equipment and feeds back to intelligent safety helmet;
Intelligent safety helmet receives the geographical location of terminal device feedback, works as locating for the intelligent safety helmet navigated to
Preceding geographical location;
When testing result is no, intelligent safety helmet detects whether to exist can establish short-distance wireless connection extremely therewith
A few terminal device, when detecting the presence of at least one terminal device, the determining short distance between each terminal device
From wireless signal strength, the strongest target short range, wireless signals of signal strength are screened from all short range, wireless signals intensity
Intensity, and the short-distance wireless connection between target terminal equipment corresponding with target short range, wireless signals intensity is established, with
And the geographical location for obtaining the target terminal equipment and navigating to is connected by the short-distance wireless, and the geographical location that will acquire
As current geographic position locating for the intelligent safety helmet navigated to.
As it can be seen that the optional embodiment can make intelligent safety helmet by the terminal for establishing short-distance wireless connection therewith
Equipment determines current geographic position, not only ensure that the accuracy of the current geographic position navigated to, but also can reduce intelligent and safe
The power consumption of cap extends the cruise duration of intelligent safety helmet.
104, intelligent safety helmet judges whether current geographic position is located in the danger zone for predefining and, when judgement is tied
Fruit is when being, triggering executes step 105;When the judgment result is no, this process can be terminated.
In the embodiment of the present invention, predefine danger zone can be it is pre-stored in intelligent safety helmet, can also
To be that intelligent safety helmet is got after orienting above-mentioned current geographic position from cloud service platform, the embodiment of the present invention is not
It limits.Wherein, predefining the danger zone may include the region of high-altitude pendant formal matter part occurred and/or high-altitude occurred
The higher region of probability of formal matter part is fallen, the embodiment of the present invention is without limitation.
105, prompting message is worn in intelligent safety helmet output, and the wearing prompting message is for prompting corresponding target person to work as
It is preceding to be in danger zone and prompt target person wearing intelligent safety helmet.
In the embodiment of the present invention, the wearing prompting message of intelligent safety helmet output can be the finger on control intelligent safety helmet
Show that lamp is glittering, is also possible to control the vibration component vibration on intelligent safety helmet, can also be the voice of control intelligent safety helmet
Voice is reminded in device output, can also be that any two kinds of combination or the combination of three, the embodiment of the present invention are not done in three
It limits.
In an alternative embodiment, when the judging result of step 104, which is, is, before executing step 105, the intelligence
The method for early warning of energy safety cap can also include following operation:
Intelligent safety helmet judges whether intelligent safety helmet is in the state of being carried according to collected kinematic parameter, works as judgement
As a result for when being, triggering executes step 105.The wearing prompting message of intelligent safety helmet output be can be improved in this way by target person
The probability noticed, and then the probability that target person wears intelligent safety helmet is improved, improve the security performance of intelligent safety helmet.
When judge intelligent safety helmet be not in be carried state when, intelligent safety helmet to cloud management platform send wear mention
It wakes up and requests, which includes the unique identification of intelligent safety helmet and be used to request the starting of cloud management platform and cloud management
The broadcaster and then triggering broadcaster that platform establishes a connection, which play, wears prompting message and/or request cloud management platform
It is sent to the user terminal bound with the intelligent safety helmet and wears prompting message.
Wherein, the unique identification of intelligent safety helmet is corresponding with the giver identification of corresponding personnel, it can passes through intelligent and safe
The unique identification confirmation of cap needs to wear the giver identification of intelligent safety helmet, by the giver identification for needing to wear intelligent safety helmet
It may further determine that the user terminal of personnel's binding corresponding to this, and be and the intelligence with the user terminal of personnel binding
The user terminal of safety cap binding.
As it can be seen that the optional embodiment can also judge intelligence peace before intelligent safety helmet exports and wears prompting message
Whether full cap is in the state of being carried, if it is, prompting message is worn in output, if it is not, then by broadcaster or with
Prompting message is worn in the user terminal output of intelligent safety helmet binding, and can reduce intelligent safety helmet, accidentally prompting message is worn in output
Probability, additionally it is possible to improve the probability that the wearing prompting message of output is noticed by corresponding personnel.
In another optional embodiment, after the step 105 that is finished, the method for early warning of the intelligent safety helmet is also
May include following operation:
Intelligent safety helmet detection target person within the period for exporting the preset duration after above-mentioned wearing prompt information
Whether intelligent safety helmet is worn, when testing result is no, generation, which does not wear to record and this is not worn to record, is uploaded to cloud pipe
Platform notifies corresponding administrative staff to trigger cloud management platform.As it can be seen that in this way can be after issuing wearing prompting message
Further detect intelligent safety helmet by wear condition, if still not wearing, cloud management platform is reported to, in order to administrator
Member takes corresponding measure in time, to reduce the generation because of safety accident caused by not wearing intelligent safety helmet.
As it can be seen that intelligent and safe can not be worn in corresponding personnel by implementing the method for early warning of intelligent safety helmet described in Fig. 1
When cap, further judge whether corresponding personnel are located at danger zone, if it is, to corresponding personnel export wear prompting message with
Prompt corresponding personnel to wear intelligent safety helmet in time, can reduce in this way due to corresponding personnel wear intelligent safety helmet not in time to
The case where corresponding personnel bring security risk generation, improves the security performance of intelligent safety helmet, so that intelligent safety helmet is more
Intelligence, be conducive to improve the usage experience to intelligent safety helmet.
Embodiment two
Referring to Fig. 2, Fig. 2 is the process signal of the method for early warning of another intelligent safety helmet disclosed by the embodiments of the present invention
Figure.Wherein, method described in Fig. 2 can be applied in intelligent safety helmet.As shown in Fig. 2, the pre- police of the intelligent safety helmet
Method may include following operation:
201, intelligent safety helmet determines the collected target component of the sensing device on intelligent safety helmet.
202, intelligent safety helmet is based on collected target component and judges whether intelligent safety helmet is in by wearing state, when
When the judging result of step 202 is no, it can trigger and execute step 203, when the judging result of step 202, which is, is, can touch
Send out step 206.
203, current geographic position locating for intelligent safety helmet positioning intelligent safety cap.
204, intelligent safety helmet judges whether current geographic position is located in the danger zone for predefining and, when judgement is tied
Fruit is when being, triggering executes step 205;When the judgment result is no, step 206 can be triggered.
205, prompting message is worn in intelligent safety helmet output, and the wearing prompting message is for prompting corresponding target person to work as
It is preceding to be in danger zone and prompt target person wearing intelligent safety helmet.
In the embodiment of the present invention, please refers in embodiment one and be directed to for other detailed descriptions of step 201- step 205
The detailed description of step 101- step 105, the embodiment of the present invention repeat no more.
206, intelligent safety helmet judges whether the current geographic position locating for it is located at and predefines the construction area of going out, when
The judging result of step 206 is that when being, can terminate this process, when the judging result of step 206 is no, can trigger and hold
Row step 207.
In the embodiment of the present invention, predefining the construction area is construction corresponding to the corresponding personnel of intelligent safety helmet
Region, predefining the construction area, to can be intelligent safety helmet pre-stored, can also be intelligent safety helmet in time from
Cloud management platform is got, and the embodiment of the present invention is without limitation.It further, is intelligence predefining the construction area
In the case that safety cap is stored in advance, the concrete mode for predefining the construction area is stored in advance in intelligent safety helmet are as follows:
After intelligent safety helmet unlatching, intelligent safety helmet exists from the corresponding personnel of cloud management platform downloading intelligent safety helmet
The construction of current date arranges situation, which arranges situation including at least the construction of corresponding personnel construction needed for current date
Region;
When the construction area that construction arranges situation to include is not sky, include in intelligent safety helmet storage construction arrangement situation
Construction area.
Wherein, intelligent safety helmet open can be intelligent safety helmet detect corresponding personnel triggering with verification information
Open command when the verification information is verified post-opening, can also be and opened receive that cloud management platform issues
The post-opening of instruction is opened, the embodiment of the present invention is without limitation.
It should be noted that can also directly trigger when the judging result of step 206 is no and execute step 209, this hair
Bright embodiment is without limitation.
207, intelligent safety helmet determines current date, current time and the corresponding timetable of arranging an order according to class and grade of constructing of target person.
In the embodiment of the present invention, the corresponding construction timetable of arranging an order according to class and grade of target person includes what target person was constructed
The target time section of target date and the construction needed for each target date.
208, intelligent safety helmet judges that target person is working as the above-mentioned current of above-mentioned preceding date according to the construction timetable of arranging an order according to class and grade
Whether the time, which needs, is constructed, and when the judging result of step 208, which is, is, triggering executes step 209,;When the judgement knot of step 208
When fruit is no, this process can be terminated.
209, intelligent safety helmet output construction prompting message, the construction prompting message prompt target person to wear intelligent and safe
Cap returns to construction area.
As it can be seen that the embodiment of the present invention can be not in corresponding construction area in the corresponding personnel for judging intelligent safety helmet
When, further judge whether need to construct in the current time of current date, is determining the current time need in current date
When constructing, then construction prompting message is exported, further enrich the intelligent functions of intelligent safety helmet, reduces intelligent safety helmet
The case where bringing puzzlement to corresponding personnel because accidentally exporting construction prompting message generation.
In an alternative embodiment, after the step 209 that is finished, the method for early warning of the intelligent safety helmet may be used also
To include following operation:
Intelligent safety helmet positions in real time within the period of the preset duration (such as 5 minutes) after prompting message is constructed in output
The geographical location of intelligent safety helmet, and determine according to the geographical location navigated to during this period of time the moving rail of intelligent safety helmet
Mark;
When the motion track indicates that intelligent safety helmet is not mobile towards the direction where construction area, intelligent safety helmet is raw
It is recorded at absence from work without reason, and absence from work without reason record is reported into cloud management platform.Wherein, absence from work without reason record may include intelligent safety helmet
Unique identification further can also include the duration that intelligent safety helmet is not in construction area.
As it can be seen that the optional embodiment can also be in the corresponding personnel for tentatively judging intelligent safety helmet not in construction area
When issue construction in time and remind, if after issuing construction and reminding still not towards the direction of construction area it is mobile when, it is automatic raw
Cloud management platform is recorded and reported at absence from work without reason, can realize the construction supervision to corresponding personnel by intelligent safety helmet in this way,
Without being monitored on the spot by supervisor, supervisory efficiency and supervision accuracy rate are improved.
In another alternative embodiment, above-mentioned target component at least may include the real-time physiological of above-mentioned target person
Parameter sets, the real-time physiological parameter set may include real-time body temperature, real-time heart rate, local amount of sweat, real-time blood pressure and
At least one of breathing rate etc., the embodiment of the present invention is without limitation.And the method for early warning of the intelligent safety helmet can also wrap
Include following operation:
When judging that intelligent safety helmet is in by wearing state, intelligent safety helmet judges that real-time physiological parameter set includes
Physiological parameter whether meet preset normal physiological conditions;
When the physiological parameter for judging that real-time physiological parameter set includes is unsatisfactory for preset normal physiological conditions, intelligence is pacified
Full cap output abnormality prompting message, the abnormal prompt message is for prompting target person to be currently at body abnormality state.
Further alternative in the optional embodiment, intelligent safety helmet judges that real-time physiological parameter set includes
Whether physiological parameter meets preset normal physiological conditions
Determine the parameter type of all physiological parameters in real-time physiological parameter set, and according to all parameter types from target
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of personnel, and judges real-time physiological
In parameter sets with the presence or absence of with the corresponding unmatched target physiological parameter of normal physiological parameter, when judge real-time physiological join
Manifold close in there are when target physiological parameter, determine that the physiological parameter that real-time physiological parameter set includes is unsatisfactory for preset normal life
Manage bar part;Alternatively,
Determine the parameter type of all physiological parameters in real-time physiological parameter set, and according to all parameter types from target
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of personnel, and according to each life
Reason parameter sets the characteristic value of each physiological parameter with the difference degree of corresponding normal physiological parameter;
The weighted value of each physiological parameter is obtained, and calculates the characteristic value of each physiological parameter and the product of weighted value, is obtained
The sum of to the corresponding product value of each physiological parameter, and calculate the corresponding product value of all physiological parameters, obtain target person
Real time health score value;
Judge whether real time health score value is less than or equal to default healthy score value, when judge real time health score value be less than or
When equal to default healthy score value, determine that the physiological parameter that real-time physiological parameter set includes is unsatisfactory for preset normal physiological conditions.
As it can be seen that the optional embodiment can also intelligent safety helmet be in by wearing state when can also be based on it is collected
Whether physiological parameter intellectual determination wearer is in body abnormality state, if it is, abnormity prompt is issued in time, in order to
Wearer takes corresponding measure in time, enriches the intelligent functions of intelligent safety helmet, further improves intelligent safety helmet
Security performance.
In another optional embodiment, the method for early warning of the intelligent safety helmet can also include following operation:
It is predefined out when intelligent safety helmet is in be located at by the current geographic position of wearing state and intelligent safety helmet
When working region, intelligent safety helmet according to current geographic position judge intelligent safety helmet type whether with current geographic position phase
Matching, wherein the corresponding construction scene of different location is different, and the type of intelligent safety helmet needed for different construction scenes is not
Together;
When the type and current geographic position of judging intelligent safety helmet do not match that, intelligent safety helmet output replacement is mentioned
Show message, the replacement prompting message is optional for prompting the wearer of intelligent safety helmet to replace the intelligent safety helmet that it is worn
, which may include the class for the intelligent safety helmet that construction scene corresponding with current geographic position matches
Type.
In the embodiment of the present invention, when the corresponding construction scene of above-mentioned current geographic position is the weaker construction scene of light
When, the type for the intelligent safety helmet that construction scene corresponding with above-mentioned current geographic position matches is the safety with searchlight
Cap type.
As it can be seen that the optional embodiment can also intellectual determination wearer wear intelligent safety helmet whether with construction field
Scape matches, if it does not match, being automatically reminded to wearer replaces intelligent safety helmet, further enriches the function of intelligent safety helmet
Energy.
In the embodiment of the present invention, it should be noted that the execution of step 206 can be independent of step 202 or step
204 judging result, step 206 and step 209 can form an individual embodiment, and step 206- step 209 can also
To form an individual embodiment.
As it can be seen that implementing the method for early warning of intelligent safety helmet described in Fig. 2 can be reduced because corresponding personnel wear not in time
Intelligent safety helmet and to corresponding personnel bring security risk the case where generation, improve the security performance of intelligent safety helmet so that
Intelligent safety helmet is more intelligent, is conducive to improve the usage experience to intelligent safety helmet.Additionally it is possible to intellectual determination
Whether the corresponding personnel of intelligent safety helmet are located at construction area, if being not located at construction area, output construction prompt information is to mention
Show that corresponding personnel return to construction area, can not only realize effective supervision to construction personnel in this way, additionally it is possible to reduce because applying
The generation of worker person's fortuitous event not caused by construction area is further not located at construction area in corresponding personnel
When can be combined with counterpart personnel the construction timetable of arranging an order according to class and grade judge its currently whether need construct (i.e. whether current time is pair
Answer the construction time of personnel), if so, it is reminded to return construction post in time, the intelligence to construction personnel is furthermore achieved
Change supervision.
Embodiment three
Referring to Fig. 3, Fig. 3 is a kind of structural representation of the prior-warning device of intelligent safety helmet disclosed by the embodiments of the present invention
Figure.Wherein, device described in Fig. 3 can be applied in intelligent safety helmet.As shown in figure 3, the early warning of the intelligent safety helmet fills
It sets and may include:
First determining module 301, for determining the collected target component of the sensing device on intelligent safety helmet.
Judgment module 302, for judging whether intelligent safety helmet is in by wearing state based on collected target component.
Locating module 303, for positioning when judgment module 302 judges that intelligent safety helmet is not in by wearing state
Current geographic position locating for intelligent safety helmet.
Judgment module 302, is also used to judge whether current geographic position is located in the danger zone for predefining and.
Output module 304, for exporting when judgment module 302 judges that current geographic position is located in danger zone
Prompting message is worn, wears prompting message for prompting corresponding target person to be currently at danger zone and prompt target person
Wear intelligent safety helmet.
As it can be seen that the prior-warning device of intelligent safety helmet described in implementing Fig. 3 can be reduced because corresponding personnel wear not in time
Intelligent safety helmet and to corresponding personnel bring security risk the case where generation, improve the security performance of intelligent safety helmet so that
Intelligent safety helmet is more intelligent, is conducive to improve the usage experience to intelligent safety helmet.
In an alternative embodiment, judgment module 302 can be also used for judging whether current geographic position is located at pre-
The construction area first determined.
Output module 304 can be also used for judging that current geographic position is not located at construction area when judgment module 302
When, output construction prompting message, the construction prompting message is for prompting target person to wear intelligent safety helmet and returning to construction area
Domain.
Wherein, which is the construction area to match with target person.
As it can be seen that the prior-warning device of intelligent safety helmet described in implementing Fig. 3 intelligentized can also be realized to corresponding personnel
Construction supervision.
It is further alternative in the optional embodiment, as shown in figure 4, the device can also include:
Second determining module 305, for judgment module 302 judge current geographic position be not located at construction area it
Afterwards, determine that current date, current time and the corresponding timetable of arranging an order according to class and grade of constructing of target person, the construction timetable of arranging an order according to class and grade include
The target time section of target date and the construction needed for each target date that above-mentioned target person is constructed.
Judgment module 302 can be also used for judging that above-mentioned target person is worked as above-mentioned according to the above-mentioned construction timetable of arranging an order according to class and grade
Whether the above-mentioned current time on preceding date needs to construct.
Wherein, the concrete mode of the output of output module 304 construction prompting message can be with are as follows:
When judgment module 302 judges that above-mentioned target person needs to construct in the above-mentioned current time of above-mentioned current date
When, export above-mentioned construction prompting message.
As it can be seen that the prior-warning device for implementing intelligent safety helmet described in Fig. 4 can also be in the phase for judging intelligent safety helmet
When personnel being answered to be not in corresponding construction area, further judge whether need to construct in the current time of current date, true
It makes when the current time of current date needs to construct, then exports construction prompting message, further enrich intelligent safety helmet
Intelligent functions, reduce intelligent safety helmet because accidentally export construct prompting message due to bring puzzlement to corresponding personnel the case where hair
It is raw.
In another alternative embodiment, above-mentioned target component includes at least the real-time physiological parameter collection of target person
It closes.And judgment module 302, it can be also used for judging the real-time physiological when judging that intelligent safety helmet is in by wearing state
Whether the physiological parameter that parameter sets include meets preset normal physiological conditions.
Wherein, output module 304 can be also used for judging that the real-time physiological parameter set includes when judgment module 302
Physiological parameter when being unsatisfactory for preset normal physiological conditions, output abnormality prompting message, the abnormal prompt message is for prompting
It states target person and is currently at body abnormality state.
In another optional embodiment, judgment module 302 judges the physiology that the real-time physiological parameter set includes
The concrete mode whether parameter meets preset normal physiological conditions can be with are as follows:
Determine the parameter type of all physiological parameters in real-time physiological parameter set, and according to all parameter types from target
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of personnel, and judges real-time physiological
In parameter sets with the presence or absence of with the corresponding unmatched target physiological parameter of normal physiological parameter, when judge real-time physiological join
Manifold close in there are when target physiological parameter, determine that the physiological parameter that real-time physiological parameter set includes is unsatisfactory for preset normal life
Manage bar part;Alternatively,
Determine the parameter type of all physiological parameters in real-time physiological parameter set, and according to all parameter types from target
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of personnel, and according to each life
Reason parameter sets the characteristic value of each physiological parameter with the difference degree of corresponding normal physiological parameter;
The weighted value of each physiological parameter is obtained, and calculates the characteristic value of each physiological parameter and the product of weighted value, is obtained
The sum of to the corresponding product value of each physiological parameter, and calculate the corresponding product value of all physiological parameters, obtain target person
Real time health score value;
Judge whether real time health score value is less than or equal to default healthy score value, when judge real time health score value be less than or
When equal to default healthy score value, determine that the physiological parameter that real-time physiological parameter set includes is unsatisfactory for preset normal physiological conditions.
As it can be seen that the prior-warning device for implementing intelligent safety helmet described in Fig. 4 can also be in intelligent safety helmet and be worn
It whether can also be in body abnormality state based on collected physiological parameter intellectual determination wearer when state, if it is,
Abnormity prompt is issued in time enriches the intelligent functions of intelligent safety helmet in order to which wearer takes corresponding measure in time, into
One step improves the security performance of intelligent safety helmet.
Example IV
The embodiment of the invention discloses a kind of intelligent safety helmet, which may include described in Fig. 3 or Fig. 4
The prior-warning device of intelligent safety helmet, the embodiment of the present invention is without limitation.
Embodiment five
Referring to Fig. 5, Fig. 5 is the structural representation of the prior-warning device of another intelligent safety helmet disclosed by the embodiments of the present invention
Figure.As shown in figure 5, the prior-warning device of the intelligent safety helmet may include:
It is stored with the memory 501 of executable program code;
The processor 502 coupled with memory 501;
Processor 502 calls the executable program code stored in memory 501, executes the embodiment of the present invention one or this hair
Step in the method for early warning of intelligent safety helmet described in bright embodiment two.
Embodiment six
The embodiment of the invention discloses a kind of computer can storage medium, which is stored with computer and refers to
It enables, when which is called, intelligently pacifies described in the embodiment of the present invention one or the embodiment of the present invention two for executing
Step in the method for early warning of full cap.
Embodiment seven
The embodiment of the invention discloses a kind of computer program product, which includes storing computer
The non-transient computer readable storage medium of program, and the computer program be operable to make computer execute embodiment one or
Step in the method for early warning of intelligent safety helmet described in embodiment two.
Installation practice described above is only illustrative, wherein the module as illustrated by the separation member can be with
It is or may not be and be physically separated, the component shown as module may or may not be physical module,
Can be in one place, or may be distributed on multiple network modules.It can select according to the actual needs wherein
Some or all of the modules achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
In the case where labour, it can understand and implement.
By the specific descriptions of above embodiment, those skilled in the art can be understood that each embodiment
It can realize by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding,
Substantially the part that contributes to existing technology can be embodied in the form of software products above-mentioned technical proposal in other words,
The computer software product may be stored in a computer readable storage medium, and storage medium includes read-only memory (Read-
Only Memory, ROM), random access memory (RandomAccess Memory, RAM), programmable read only memory
(Programmable Read-only Memory, PROM), Erasable Programmable Read Only Memory EPROM (Erasable
Programmable Read Only Memory, EPROM), disposable programmable read-only memory (One-time
Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only memory
(Electrically-Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact
Disc Read-OnlyMemory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage or can use
In carrying or any other computer-readable medium of storing data.
Finally, it should be noted that disclosed by the method for early warning and device of a kind of intelligent safety helmet disclosed by the embodiments of the present invention
Be only present pre-ferred embodiments, be only used to illustrate the technical scheme of the present invention, rather than its limitations;Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that;It still can be to preceding
Technical solution documented by every embodiment is stated to modify or equivalent replacement of some of the technical features;And this
A little modifications or substitutions do not make the essence of corresponding technical solution be detached from the spirit and model of bold and unrestrained every embodiment technical solution
It encloses.
Claims (10)
1. a kind of method for early warning of intelligent safety helmet, which is characterized in that the described method includes:
It determines the collected target component of sensing device on the intelligent safety helmet, and is based on the collected target component
Judge whether the intelligent safety helmet is in by wearing state;
When judge the intelligent safety helmet be not in it is described by wearing state when, position current locating for the intelligent safety helmet
Geographical location;
Judge whether the current geographic position is located in the danger zone for predefining and, when judging the current geographic position
When setting in the danger zone, prompting message is worn in output, and the wearing prompting message is for prompting corresponding target person
Member is currently at danger zone and the prompt target person wears the intelligent safety helmet.
2. the method for early warning of intelligent safety helmet according to claim 1, which is characterized in that the method also includes:
Judge whether the current geographic position is located at and predefine the construction area of going out, when judging the current geographic position
When being not located at the construction area, output construction prompting message, the construction prompting message is for prompting the target person to wear
It wears the intelligent safety helmet and returns to the construction area, wherein the construction area is to apply with what the target person matched
Work area domain.
3. the method for early warning of intelligent safety helmet according to claim 2, which is characterized in that judging the current geographic
Position is not located at after the construction area, the method also includes:
Current date, current time and the corresponding timetable of arranging an order according to class and grade of constructing of the target person are determined, when the construction is arranged an order according to class and grade
Between table include target date that the target person is constructed and the construction needed for each target date mesh
Mark the period;
According to it is described construction the timetable of arranging an order according to class and grade judge the target person the current date the current time whether need
It constructs, when judging the target person when the current time of the current date needs to construct, triggering executes institute
The operation for the output construction prompting message stated.
4. the method for early warning of intelligent safety helmet according to claim 1-3, which is characterized in that the target component
Including at least the real-time physiological parameter set of the target person, the method also includes:
When judge the intelligent safety helmet be in it is described by wearing state when, judge that the real-time physiological parameter set includes
Whether physiological parameter meets preset normal physiological conditions;
It is defeated when the physiological parameter for judging that the real-time physiological parameter set includes is unsatisfactory for the preset normal physiological conditions
Abnormal prompt message out, the abnormal prompt message is for prompting the target person to be currently at body abnormality state.
5. the method for early warning of intelligent safety helmet according to claim 4, which is characterized in that the judgement real-time physiological
Whether the physiological parameter that parameter sets include meets preset normal physiological conditions, comprising:
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter types from
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of the target person, and
Judge in the real-time physiological parameter set with the presence or absence of with the corresponding unmatched target physiological parameter of normal physiological parameter, when
Judge that there are when the target physiological parameter, determine the real-time physiological parameter set packet in the real-time physiological parameter set
The physiological parameter included is unsatisfactory for preset normal physiological conditions;Alternatively,
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter types from
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of the target person, with
And the spy of each physiological parameter is set with the difference degree of corresponding normal physiological parameter according to each physiological parameter
Value indicative;
The weighted value of each physiological parameter is obtained, and calculates the characteristic value of each physiological parameter and multiplying for weighted value
The sum of product obtains the corresponding product value of each physiological parameter, and calculate the corresponding product value of all physiological parameters,
Obtain the real time health score value of the target person;
Judge whether the real time health score value is less than or equal to default healthy score value, when judging that the real time health score value is small
In or when being equal to the default healthy score value, determine physiological parameter that the real-time physiological parameter set includes be unsatisfactory for it is preset just
Normal physiological condition.
6. a kind of prior-warning device of intelligent safety helmet, which is characterized in that described device is applied in the intelligent safety helmet, described
Device includes:
First determining module, for determining the collected target component of sensing device on the intelligent safety helmet;
Judgment module, for judging whether the intelligent safety helmet is in by wearing shape based on the collected target component
State;
Locating module, for when the judgment module judge the intelligent safety helmet be not in it is described by wearing state when, it is fixed
Current geographic position locating for the intelligent safety helmet of position;
The judgment module, is also used to judge whether the current geographic position is located in the danger zone for predefining and;
Output module, it is defeated for when the judgment module judges that the current geographic position is located in the danger zone
Prompting message is worn out, and the wearing prompting message is for prompting corresponding target person to be currently at danger zone and prompt institute
It states target person and wears the intelligent safety helmet.
7. the prior-warning device of intelligent safety helmet according to claim 6, which is characterized in that the judgment module is also used to
Judge whether the current geographic position is located at and predefines the construction area of going out;
The output module is also used to judge that the current geographic position is not located at the construction area when the judgment module
When, output construction prompting message, the construction prompting message is returned for prompting the target person to wear the intelligent safety helmet
Return the construction area;
Wherein, the construction area is the construction area to match with the target person.
8. the prior-warning device of intelligent safety helmet according to claim 7, which is characterized in that described device further include:
Second determining module, for the judgment module judge the current geographic position be not located at the construction area it
Afterwards, determine that current date, current time and the corresponding timetable of arranging an order according to class and grade of constructing of the target person, the construction are arranged an order according to class and grade the time
Table includes the target of the target date that the target person is constructed and the construction needed for each target date
Period;
The judgment module is also used to judge the target person in the current date according to the construction timetable of arranging an order according to class and grade
Whether the current time, which needs, is constructed;
The concrete mode of the output module output construction prompting message are as follows:
When the judgment module judge the target person when the current time of the current date needs to construct, it is defeated
It constructs out prompting message.
9. according to the prior-warning device of the described in any item intelligent safety helmets of claim 6-8, which is characterized in that the target component
Including at least the real-time physiological parameter set of the target person;
The judgment module, be also used to when judge the intelligent safety helmet be in it is described by wearing state when, judge the reality
When the physiological parameter set physiological parameter that includes whether meet preset normal physiological conditions;
The output module is also used to judge the physiological parameter that the real-time physiological parameter set includes when the judgment module
When being unsatisfactory for the preset normal physiological conditions, output abnormality prompting message, the abnormal prompt message is for prompting the mesh
Mark personnel are currently at body abnormality state.
10. the prior-warning device of intelligent safety helmet according to claim 9, which is characterized in that the judgment module judges institute
State the concrete mode whether physiological parameter that real-time physiological parameter set includes meets preset normal physiological conditions are as follows:
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter types from
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of the target person, and
Judge in the real-time physiological parameter set with the presence or absence of with the corresponding unmatched target physiological parameter of normal physiological parameter, when
Judge that there are when the target physiological parameter, determine the real-time physiological parameter set packet in the real-time physiological parameter set
The physiological parameter included is unsatisfactory for preset normal physiological conditions;Alternatively,
Determine the parameter type of all physiological parameters in the real-time physiological parameter set, and according to all parameter types from
The normal physiological parameter to match with each parameter type is obtained in the normal physiological parameter sets of the target person, with
And the spy of each physiological parameter is set with the difference degree of corresponding normal physiological parameter according to each physiological parameter
Value indicative;
The weighted value of each physiological parameter is obtained, and calculates the characteristic value of each physiological parameter and multiplying for weighted value
The sum of product obtains the corresponding product value of each physiological parameter, and calculate the corresponding product value of all physiological parameters,
Obtain the real time health score value of the target person;
Judge whether the real time health score value is less than or equal to default healthy score value, when judging that the real time health score value is small
In or when being equal to the default healthy score value, determine physiological parameter that the real-time physiological parameter set includes be unsatisfactory for it is preset just
Normal physiological condition.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910496653.6A CN110179198B (en) | 2019-06-10 | 2019-06-10 | Early warning method and device for intelligent safety helmet |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910496653.6A CN110179198B (en) | 2019-06-10 | 2019-06-10 | Early warning method and device for intelligent safety helmet |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110179198A true CN110179198A (en) | 2019-08-30 |
CN110179198B CN110179198B (en) | 2021-12-17 |
Family
ID=67720973
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910496653.6A Active CN110179198B (en) | 2019-06-10 | 2019-06-10 | Early warning method and device for intelligent safety helmet |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110179198B (en) |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110973754A (en) * | 2019-11-26 | 2020-04-10 | 贵州乌江水电开发有限责任公司东风发电厂 | Safety helmet and using method thereof |
CN111493441A (en) * | 2020-04-20 | 2020-08-07 | 贰佰号科技(北京)有限公司 | Safety monitoring system based on intelligent safety helmet |
CN112183964A (en) * | 2020-09-11 | 2021-01-05 | 杭州市地下管道开发有限公司 | Intelligent construction site management method, system, equipment and storage medium |
CN112988496A (en) * | 2019-12-13 | 2021-06-18 | 中国移动通信集团天津有限公司 | Alarm prompting method, device and system and electronic equipment |
CN113712332A (en) * | 2021-09-17 | 2021-11-30 | 肇庆博涵体育用品有限公司 | Intelligent information collecting equipment of electric two-wheeled vehicle and matched intelligent helmet wearing system thereof |
CN114187740A (en) * | 2021-12-09 | 2022-03-15 | 广联达科技股份有限公司 | Safety belt and state monitoring method and safety monitoring system thereof |
CN114285874A (en) * | 2021-12-07 | 2022-04-05 | 重庆邮电大学 | Safety helmet timer scheduling method and system based on abnormal uncapping record |
CN115050125A (en) * | 2022-05-20 | 2022-09-13 | 劢微机器人科技(深圳)有限公司 | Safety early warning method, device, equipment and storage medium based on 2d camera |
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 |
CN115249392A (en) * | 2022-04-29 | 2022-10-28 | 中铁建(无锡)工程科技发展有限公司 | Intelligent visitor system of wisdom building site |
CN115376273A (en) * | 2022-09-16 | 2022-11-22 | 深圳市齐奥通信技术有限公司 | Safety early warning method, system, equipment and storage medium of intelligent safety helmet |
CN116758490A (en) * | 2023-08-17 | 2023-09-15 | 中通信息服务有限公司 | Construction site safety helmet wearing detection and early warning method and system based on AI algorithm |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107041590A (en) * | 2017-01-09 | 2017-08-15 | 彭亮 | A kind of intelligent and safe donning system |
CN107085921A (en) * | 2017-06-08 | 2017-08-22 | 河南师范大学 | Power plant's specific region method for safety monitoring |
CN207742516U (en) * | 2018-02-02 | 2018-08-17 | 吉林建筑大学 | A kind of safety cap based on ZigBee technology |
CN109558783A (en) * | 2018-09-20 | 2019-04-02 | 中建科技有限公司深圳分公司 | A kind of violation detection method, system and equipment for construction site |
CN109637059A (en) * | 2018-11-27 | 2019-04-16 | 国网河南省电力公司检修公司 | Safety work managing and control system based on artificial intelligence |
CN109801473A (en) * | 2019-01-30 | 2019-05-24 | 广州轨道交通建设监理有限公司 | A kind of manned equipment monitoring system and manned equipment monitoring method |
CN208938352U (en) * | 2018-10-19 | 2019-06-04 | 浙江师范大学 | A kind of rubber tyred roller surrounding people's positioning early-warning system of super-broadband tech |
-
2019
- 2019-06-10 CN CN201910496653.6A patent/CN110179198B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107041590A (en) * | 2017-01-09 | 2017-08-15 | 彭亮 | A kind of intelligent and safe donning system |
CN107085921A (en) * | 2017-06-08 | 2017-08-22 | 河南师范大学 | Power plant's specific region method for safety monitoring |
CN207742516U (en) * | 2018-02-02 | 2018-08-17 | 吉林建筑大学 | A kind of safety cap based on ZigBee technology |
CN109558783A (en) * | 2018-09-20 | 2019-04-02 | 中建科技有限公司深圳分公司 | A kind of violation detection method, system and equipment for construction site |
CN208938352U (en) * | 2018-10-19 | 2019-06-04 | 浙江师范大学 | A kind of rubber tyred roller surrounding people's positioning early-warning system of super-broadband tech |
CN109637059A (en) * | 2018-11-27 | 2019-04-16 | 国网河南省电力公司检修公司 | Safety work managing and control system based on artificial intelligence |
CN109801473A (en) * | 2019-01-30 | 2019-05-24 | 广州轨道交通建设监理有限公司 | A kind of manned equipment monitoring system and manned equipment monitoring method |
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110973754A (en) * | 2019-11-26 | 2020-04-10 | 贵州乌江水电开发有限责任公司东风发电厂 | Safety helmet and using method thereof |
CN110973754B (en) * | 2019-11-26 | 2023-09-29 | 贵州乌江水电开发有限责任公司东风发电厂 | Safety helmet and using method thereof |
CN112988496A (en) * | 2019-12-13 | 2021-06-18 | 中国移动通信集团天津有限公司 | Alarm prompting method, device and system and electronic equipment |
CN111493441A (en) * | 2020-04-20 | 2020-08-07 | 贰佰号科技(北京)有限公司 | Safety monitoring system based on intelligent safety helmet |
CN112183964A (en) * | 2020-09-11 | 2021-01-05 | 杭州市地下管道开发有限公司 | Intelligent construction site management method, system, equipment and storage medium |
CN112183964B (en) * | 2020-09-11 | 2024-03-12 | 杭州市地下管道开发有限公司 | Intelligent building site management method, system, equipment and storage medium |
CN113712332A (en) * | 2021-09-17 | 2021-11-30 | 肇庆博涵体育用品有限公司 | Intelligent information collecting equipment of electric two-wheeled vehicle and matched intelligent helmet wearing system thereof |
CN114285874A (en) * | 2021-12-07 | 2022-04-05 | 重庆邮电大学 | Safety helmet timer scheduling method and system based on abnormal uncapping record |
CN114285874B (en) * | 2021-12-07 | 2023-11-03 | 中化学交通建设集团有限公司 | Safety helmet timer scheduling method and system based on abnormal uncapping record |
CN114187740A (en) * | 2021-12-09 | 2022-03-15 | 广联达科技股份有限公司 | Safety belt and state monitoring method and safety monitoring system thereof |
CN115249392A (en) * | 2022-04-29 | 2022-10-28 | 中铁建(无锡)工程科技发展有限公司 | Intelligent visitor system of wisdom building site |
CN115050125A (en) * | 2022-05-20 | 2022-09-13 | 劢微机器人科技(深圳)有限公司 | Safety early warning method, device, equipment and storage medium based on 2d camera |
CN115050125B (en) * | 2022-05-20 | 2023-08-29 | 劢微机器人科技(深圳)有限公司 | 2d camera-based safety early warning method, device, equipment and storage medium |
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 |
CN115376273A (en) * | 2022-09-16 | 2022-11-22 | 深圳市齐奥通信技术有限公司 | Safety early warning method, system, equipment and storage medium of intelligent safety helmet |
CN116758490A (en) * | 2023-08-17 | 2023-09-15 | 中通信息服务有限公司 | Construction site safety helmet wearing detection and early warning method and system based on AI algorithm |
CN116758490B (en) * | 2023-08-17 | 2023-12-19 | 中通信息服务有限公司 | Construction site safety helmet wearing detection and early warning method and system based on AI algorithm |
Also Published As
Publication number | Publication date |
---|---|
CN110179198B (en) | 2021-12-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110179198A (en) | The method for early warning and device of intelligent safety helmet | |
CN103530978B (en) | A kind of dangerous criminal towards special population and warning system | |
CN106097659B (en) | A kind of drowned monitoring method and wearable device based on wearable device | |
CN106530576A (en) | Fire danger early warning method and device based on mobile equipment | |
CN105615878B (en) | A kind of fatigue driving eeg monitoring method | |
CN108417264B (en) | Remote monitoring emergency system | |
CN102736607A (en) | Living security health remote monitoring system based on data integration | |
CN109618287B (en) | Prisoner management method and device based on UWB positioning | |
CN105595546B (en) | A kind of Intelligent bracelet and its application method for working at height personnel | |
CN108597176A (en) | A kind of safe early warning method and wearable device based on wearable device | |
CN105094029A (en) | Safety management system and method | |
CN108053617B (en) | A kind of paddle alarm control method and wearable device based on wearable device | |
CN205514557U (en) | Healthy sign guardianship of ring type, alarm | |
CN208861426U (en) | A kind of isolated area Wireless Networking type fire alarm system | |
CN111260878B (en) | Full-connection escort alarm system based on Bluetooth bracelet and intelligent terminal | |
CN106974619A (en) | A kind of down-hole miner intelligent health management system | |
CN110285801A (en) | The localization method and device of intelligent safety helmet | |
CN106343988A (en) | Wristband for monitoring and monitoring method thereof | |
CN204744140U (en) | Fall down intelligent wrist strap of location warning | |
CN109036541A (en) | A kind of use based reminding method and the wearable device of wearable device | |
CN102496256B (en) | Wireless positioning alarm system and method for prison | |
CN108053618A (en) | A kind of method and wearable device of the alarm that based on residing water environment paddle | |
CN106326885A (en) | Planting greenhouse security monitoring method and device | |
CN106955108A (en) | It is a kind of to be used for the abnormal detecting system and detection method fallen for special population | |
CN106214136A (en) | A kind of Intelligent bracelet and method based on Intelligent bracelet prevention heart attack |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |