CN110179198B

CN110179198B - Early warning method and device for intelligent safety helmet

Info

Publication number: CN110179198B
Application number: CN201910496653.6A
Authority: CN
Inventors: 唐文; 褚松涛
Original assignee: Individual
Current assignee: Individual
Priority date: 2019-06-10
Filing date: 2019-06-10
Publication date: 2021-12-17
Anticipated expiration: 2039-06-10
Also published as: CN110179198A

Abstract

The invention discloses an early warning method and an early warning device for an intelligent safety helmet, wherein the method comprises the following steps: determining target parameters acquired by a sensing device on the intelligent safety helmet, and judging whether the intelligent safety helmet is in a worn state or not based on the target parameters; when the intelligent safety helmet is judged not to be in a worn state, positioning the current geographical position of the intelligent safety helmet; and judging whether the current geographical position is located in a predetermined dangerous area, and outputting a wearing prompt message when the current geographical position is located in the predetermined dangerous area, wherein the wearing prompt message is used for prompting that the corresponding target person is located in the dangerous area and prompting the target person to wear the intelligent safety helmet. Therefore, the intelligent safety helmet can reduce the occurrence of potential safety hazards to corresponding personnel due to the fact that the corresponding personnel do not wear the intelligent safety helmet in time, improves the safety performance of the intelligent safety helmet, enables the intelligent safety helmet to be more intelligent, and is beneficial to improving the use experience of the intelligent safety helmet.

Description

Early warning method and device for intelligent safety helmet

Technical Field

The invention relates to the technical field of intelligent safety helmets, in particular to an early warning method and device of an intelligent safety helmet.

Background

Based on the restrictions of construction conditions such as geographic positions and climate, most of current construction scenes cannot depend on intelligent construction equipment to realize intelligent and automatic construction, and still need the participation of a lot of construction personnel. Because some areas in the construction scene have potential safety hazards such as high-altitude falling objects, in order to ensure the construction safety of constructors in the construction scene, each constructor is provided with a corresponding safety helmet.

However, practice has found that it is often the case in construction scenes that the constructor does not wear a safety helmet, for example: due to carelessness, time emergency and the like, the constructors do not wear the safety helmet in the hands in time, the condition that the constructors do not wear the safety helmet brings great potential safety hazards to the corresponding constructors, and the safety performance of the safety helmet is reduced.

Disclosure of Invention

The invention aims to solve the technical problem that the early warning method and the early warning device for the intelligent safety helmet can reduce the occurrence of potential safety hazards to corresponding personnel due to untimely wearing of the intelligent safety helmet and improve the safety performance of the intelligent safety helmet.

In order to solve the technical problem, a first aspect of the embodiment of the present invention discloses an early warning method for an intelligent safety helmet, including:

determining target parameters collected by a sensing device on the intelligent safety helmet, and judging whether the intelligent safety helmet is in a worn state or not based on the collected target parameters;

when the intelligent safety helmet is judged not to be in the worn state, positioning the current geographic position of the intelligent safety helmet;

judging whether the current geographical position is located in a predetermined dangerous area, and outputting a wearing prompt message when the current geographical position is judged to be located in the dangerous area, wherein the wearing prompt message is used for prompting that a corresponding target person is currently located in the dangerous area and prompting the target person to wear the intelligent safety helmet.

As an optional implementation manner, in the first aspect of this embodiment of the present invention, the method further includes:

and judging whether the current geographical position is located in a predetermined construction area, and outputting a construction prompt message when the current geographical position is judged not to be located in the construction area, wherein the construction prompt message is used for prompting the target personnel to wear the intelligent safety helmet and return to the construction area, and the construction area is matched with the target personnel.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, after determining that the current geographic location is not located in the construction area, the method further includes:

determining a current date, current time and a construction scheduling schedule corresponding to the target personnel, wherein the construction scheduling schedule comprises target dates on which the target personnel need to perform construction and target time periods on which construction is needed on each target date;

and judging whether the target person needs construction at the current time of the current date according to the construction scheduling schedule, and triggering and executing the operation of outputting the construction prompt message when judging that the target person needs construction at the current time of the current date.

As an alternative implementation, in the first aspect of this embodiment of the present invention, the target parameters at least include a real-time physiological parameter set of the target person, and the method further includes:

when the intelligent safety cap is judged to be in the worn state, judging whether the physiological parameters included in the real-time physiological parameter set meet preset normal physiological conditions or not;

and outputting an abnormal prompt message when the physiological parameters included in the real-time physiological parameter set are judged not to meet the preset normal physiological condition, wherein the abnormal prompt message is used for prompting that the target person is in an abnormal body state currently.

As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining whether the physiological parameters included in the real-time physiological parameter set satisfy preset normal physiological conditions includes:

determining the parameter types of all physiological parameters in the real-time physiological parameter set, acquiring normal physiological parameters matched with each parameter type from the normal physiological parameter set of the target person according to all the parameter types, judging whether target physiological parameters which are not matched with the corresponding normal physiological parameters exist in the real-time physiological parameter set, and determining that the physiological parameters included in the real-time physiological parameter set do not meet preset normal physiological conditions when the target physiological parameters exist in the real-time physiological parameter set; alternatively, the first and second electrodes may be,

determining the parameter types of all physiological parameters in the real-time physiological parameter set, acquiring normal physiological parameters matched with each parameter type from the normal physiological parameter set of the target person according to all the parameter types, and setting the characteristic value of each physiological parameter according to the difference degree of each physiological parameter and the corresponding normal physiological parameter;

acquiring a weighted value of each physiological parameter, calculating a product of a characteristic value of each physiological parameter and the weighted value to obtain a product value corresponding to each physiological parameter, and calculating the sum of the product values corresponding to all the physiological parameters to obtain a real-time health score of the target person;

and judging whether the real-time health score is less than or equal to a preset health score, and when the real-time health score is less than or equal to the preset health score, determining that the physiological parameters included in the real-time physiological parameter set do not meet preset normal physiological conditions.

The second aspect of the embodiment of the invention discloses an early warning device of an intelligent safety helmet, which comprises:

the first determination module is used for determining target parameters acquired by a sensing device on the intelligent safety helmet;

the judging module is used for judging whether the intelligent safety helmet is in a worn state or not based on the acquired target parameters;

the positioning module is used for positioning the current geographic position of the intelligent safety helmet when the judging module judges that the intelligent safety helmet is not in the worn state;

the judging module is also used for judging whether the current geographic position is located in a predetermined dangerous area;

and the output module is used for outputting a wearing prompt message when the judging module judges that the current geographic position is located in the dangerous area, wherein the wearing prompt message is used for prompting that the corresponding target person is currently located in the dangerous area and prompting the target person to wear the intelligent safety helmet.

As an optional implementation manner, in a second aspect of the embodiment of the present invention, the determining module is further configured to determine whether the current geographic location is located in a predetermined construction area;

the output module is further configured to output a construction prompting message when the judging module judges that the current geographic position is not located in the construction area, where the construction prompting message is used to prompt the target person to wear the intelligent safety helmet and return to the construction area;

and the construction area is matched with the target personnel.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, the apparatus further includes:

the second determining module is used for determining the current date, the current time and a construction scheduling schedule corresponding to the target person after the judging module judges that the current geographic position is not located in the construction area, wherein the construction scheduling schedule comprises target dates on which the target person needs to construct and target time periods on which construction is needed on each target date;

the judging module is further used for judging whether the target person needs to be constructed at the current time of the current date according to the construction scheduling schedule;

the specific way of outputting the construction prompt message by the output module is as follows:

and when the judging module judges that the target person needs construction at the current time of the current date, outputting a construction prompting message.

As an alternative implementation, in the second aspect of the embodiment of the present invention, the target parameters at least include a real-time physiological parameter set of the target person;

the judging module is further configured to judge whether the physiological parameters included in the real-time physiological parameter set meet preset normal physiological conditions when the intelligent safety helmet is judged to be in the worn state;

the output module is further configured to output an exception prompting message when the judgment module judges that the physiological parameters included in the real-time physiological parameter set do not satisfy the preset normal physiological condition, where the exception prompting message is used to prompt that the target person is currently in an abnormal body state.

As an optional implementation manner, in the second aspect of the embodiment of the present invention, a specific manner of determining, by the determining module, whether the physiological parameter included in the real-time physiological parameter set satisfies a preset normal physiological condition is as follows:

The third aspect of the embodiment of the invention discloses another early warning device for an intelligent safety helmet, which comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute part or all of the steps of the early warning method of the intelligent safety helmet disclosed by the first aspect of the embodiment of the invention.

The fourth aspect of the present invention discloses a computer-readable storage medium, where the computer-readable storage medium stores computer instructions, and when the computer instructions are called, the computer instructions are used to perform some or all of the steps in the early warning method for an intelligent safety helmet disclosed in the first aspect of the present invention.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the target parameters collected by the sensing device on the intelligent safety helmet are determined, and whether the intelligent safety helmet is in a worn state is judged based on the collected target parameters; when the intelligent safety helmet is judged not to be in a worn state, positioning the current geographical position of the intelligent safety helmet; and judging whether the current geographical position is located in a preset dangerous area, and outputting a wearing prompt message when the current geographical position is judged to be located in the preset dangerous area, wherein the wearing prompt message is used for prompting a corresponding target person to be located in the dangerous area and prompting the target person to wear an intelligent safety helmet. Therefore, when the intelligent safety helmet is not worn by the corresponding personnel, whether the corresponding personnel are located in the dangerous area can be further judged, if yes, the wearing prompt message is output to the corresponding personnel to prompt the corresponding personnel to wear the intelligent safety helmet in time, so that the situation that potential safety hazards are brought to the corresponding personnel due to the fact that the corresponding personnel do not wear the intelligent safety helmet in time can be reduced, the safety performance of the intelligent safety helmet is improved, the intelligent safety helmet is more intelligent, and the use experience of the intelligent safety helmet is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a schematic flow chart of an early warning method for an intelligent safety helmet according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart illustrating another warning method for an intelligent helmet according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an early warning device of an intelligent safety helmet disclosed in the embodiment of the present invention;

FIG. 4 is a schematic structural diagram of an early warning device of another intelligent safety helmet disclosed in the embodiment of the present invention;

fig. 5 is a schematic structural diagram of another early warning device of an intelligent safety helmet disclosed in the embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses an early warning method and an early warning device for an intelligent safety helmet, which can further judge whether a corresponding person is located in a dangerous area when the corresponding person does not wear the intelligent safety helmet, and if so, a wearing prompt message is output to the corresponding person to prompt the corresponding person to wear the intelligent safety helmet in time, so that the occurrence of potential safety hazards to the corresponding person due to the fact that the corresponding person does not wear the intelligent safety helmet in time can be reduced, the safety performance of the intelligent safety helmet is improved, the intelligent safety helmet is more intelligent, and the use experience of the intelligent safety helmet is improved. The following are detailed below.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an early warning method for an intelligent safety helmet according to an embodiment of the present invention. The method described in fig. 1 can be applied to intelligent safety helmets. As shown in fig. 1, the warning method of the intelligent safety helmet may include the following operations:

101. the intelligent safety helmet determines target parameters acquired by a sensing device on the intelligent safety helmet.

In the embodiment of the present invention, the intelligent safety helmet is provided with a sensing device, and the sensing device may be at least one of a contact sensor, a pressure sensor, a motion sensor, an ultrasonic sensor, and a physiological parameter sensor, which is not limited in the embodiment of the present invention. Wherein different sensors are used for acquiring different parameters and contact sensors are used for acquiring contact parameters, such as: current value, voltage value, etc.; the pressure sensor is used for collecting pressure values, and the pressure values can be represented by specific pressure values and also can be represented by capacitance values or resistance values for reflecting the magnitude of the pressure values; the physiological parameter sensor is used for acquiring corresponding physiological parameters, such as at least one of body temperature, heart rate, breathing frequency, blood pressure and perspiration amount, and the embodiment of the invention is not limited; the motion sensor is used for acquiring motion parameters of the intelligent safety helmet, such as motion direction, motion speed and motion acceleration; the ultrasonic sensor is used for detecting a distance value between the intelligent safety helmet and the barrier.

102. The intelligent safety helmet judges whether the intelligent safety helmet is in a worn state or not based on the acquired target parameters, when the judgment result in the step 102 is negative, the step 103 can be triggered to be executed, and when the judgment result in the step 102 is positive, the process can be ended.

In the embodiment of the present invention, as an optional implementation manner, the determining, by the intelligent safety helmet based on the collected target parameter, whether the intelligent safety helmet is in a worn state may include:

the intelligent safety helmet determines the parameter types corresponding to the acquired target parameters, and determines preset wearing conditions corresponding to each parameter type according to the parameter types corresponding to the target parameters;

the intelligent safety helmet judges whether a parameter value of each parameter included in a target parameter meets a preset wearing condition corresponding to the parameter type of the parameter, and obtains a wearing judgment result of each parameter, wherein when the parameter value of a certain parameter meets the preset wearing condition corresponding to the parameter type of the parameter, the wearing judgment result of the parameter indicates that the intelligent safety helmet is worn, and when the parameter value of a certain parameter does not meet the preset wearing condition corresponding to the parameter type of the wearing parameter, the wearing judgment result of the parameter indicates that the intelligent safety helmet is not worn;

the intelligent safety helmet determines a proportion value of the wearing judgment result used for representing the intelligent safety helmet worn in all the wearing judgment results according to the wearing judgment result of each parameter in the target parameters;

and the intelligent safety helmet judges whether the determined proportion value exceeds a preset proportion threshold (such as 80%), determines that the intelligent safety helmet is in a worn state when the judgment result is yes, and determines that the intelligent safety helmet is not in the worn state when the judgment result is no.

Therefore, the optional implementation mode can intelligently judge the wearing state of the intelligent safety helmet based on the parameters acquired by the sensing device on the intelligent safety helmet, enriches the functions of the intelligent safety helmet, and improves the efficiency and the accuracy of judging the wearing state of the intelligent safety helmet; in addition, whether the intelligent safety helmet is in a worn state or not can be judged intelligently by comprehensively collecting all target parameters, and the accuracy and the reliability of a judgment result are improved.

103. The intelligent safety helmet locates the current geographical position of the intelligent safety helmet.

In the embodiment of the invention, the intelligent safety helmet can position the current geographical position of the intelligent safety helmet through the GPS and the base station, and can also obtain the current geographical position of the intelligent safety helmet through the positioning server or other terminal equipment as the positioned current geographical position.

As an optional implementation manner, when the current geographic location where the smart helmet is located is obtained by the positioning server, the positioning, by the smart helmet, the current geographic location where the smart helmet is located by the smart helmet may include:

the intelligent safety helmet sends a position obtaining request to a plurality of positioning servers, wherein the position obtaining request comprises a unique identifier of the intelligent safety helmet;

the intelligent safety helmet starts timing from the sending time of the position obtaining request, and determines all position obtaining responses received in the process that the timing duration reaches a preset duration threshold, wherein each position obtaining response comprises the geographic position of the intelligent safety helmet positioned by a positioning server sending the position obtaining response;

the intelligent safety helmet judges whether the number of the position acquisition responses is 1, and if so, the geographical position included in the position acquisition responses is used as the current geographical position of the positioned intelligent safety helmet; and if the number of the position acquisition responses is more than 1, screening the geographical position with the highest occurrence frequency from all the geographical positions included in all the position acquisition responses as the current geographical position where the positioned intelligent safety helmet is located. Therefore, the safety and the efficiency of the geographical position where the positioned intelligent safety helmet is located can be improved.

As another optional implementation, when the current geographic location of the smart helmet is obtained through other terminal devices, the positioning, by the smart helmet, the current geographic location of the smart helmet may include:

the intelligent safety helmet detects whether terminal equipment (such as intelligent wearable equipment such as an intelligent bracelet and intelligent glasses) establishing short-distance wireless connection with the intelligent safety helmet exists or not, and when the detection result is yes, a geographical position obtaining request is sent to the terminal equipment so as to trigger the terminal equipment to position the geographical position of the terminal equipment and feed the geographical position back to the intelligent safety helmet;

the intelligent safety helmet receives the geographical position fed back by the terminal equipment, and the geographical position is used as the current geographical position of the positioned intelligent safety helmet;

and when the detection result is negative, the intelligent safety cap detects whether at least one terminal device capable of establishing short-distance wireless connection with the intelligent safety cap exists, when the at least one terminal device exists, the short-distance wireless signal strength between the intelligent safety cap and each terminal device is determined, the target short-distance wireless signal strength with the strongest signal strength is screened from all the short-distance wireless signal strengths, the short-distance wireless connection between the target terminal devices corresponding to the target short-distance wireless signal strength is established, the geographic position located by the target terminal device is obtained through the short-distance wireless connection, and the obtained geographic position is used as the current geographic position where the located intelligent safety cap is located.

Therefore, the optional implementation mode can enable the intelligent safety helmet to determine the current geographic position by means of the terminal equipment which establishes short-distance wireless connection with the intelligent safety helmet, so that the accuracy of the located current geographic position is guaranteed, the power consumption of the intelligent safety helmet can be reduced, and the endurance time of the intelligent safety helmet is prolonged.

104. The intelligent safety helmet judges whether the current geographical position is located in a predetermined dangerous area, and if so, the intelligent safety helmet triggers the step 105; and when the judgment result is negative, ending the process.

In the embodiment of the present invention, the predetermined dangerous area may be pre-stored in the intelligent safety helmet, or may be acquired from the cloud service platform after the intelligent safety helmet locates the current geographic location. The predetermined dangerous area may include an area where an overhead falling object event occurs and/or an area where a probability of the overhead falling object event occurring is high.

105. And outputting a wearing prompt message by the intelligent safety helmet, wherein the wearing prompt message is used for prompting that the corresponding target person is currently in a dangerous area and prompting the target person to wear the intelligent safety helmet.

In the embodiment of the present invention, the wearing prompt message output by the intelligent safety helmet may control the indicator light on the intelligent safety helmet to flash, may also control the vibration of the vibration component on the intelligent safety helmet, may also control the voice device of the intelligent safety helmet to output the reminding voice, and may also be a combination of any two of the three or a combination of the three, which is not limited in the embodiment of the present invention.

In an optional embodiment, when the determination result in step 104 is yes, before performing step 105, the method for warning of a smart helmet may further include the following operations:

and the intelligent safety helmet judges whether the intelligent safety helmet is in a carried state according to the collected motion parameters, and if so, the step 105 is triggered and executed. Therefore, the probability that the wearing prompt message output by the intelligent safety helmet is noticed by the target person can be improved, the probability that the target person wears the intelligent safety helmet is further improved, and the safety performance of the intelligent safety helmet is improved.

When the intelligent safety helmet is judged not to be in the carried state, the intelligent safety helmet sends a wearing reminding request to the cloud management platform, wherein the wearing reminding request comprises the unique identifier of the intelligent safety helmet and is used for requesting the cloud management platform to start a broadcasting device which is connected with the cloud management platform so as to trigger the broadcasting device to play a wearing reminding message and/or requesting the cloud management platform to send the wearing reminding message to a user terminal which is bound with the intelligent safety helmet.

The unique identification of the intelligent safety helmet corresponds to the personnel identification of corresponding personnel, namely the personnel identification needing to wear the intelligent safety helmet can be confirmed through the unique identification of the intelligent safety helmet, the user terminal bound with the corresponding personnel can be further determined through the personnel identification needing to wear the intelligent safety helmet, and the user terminal bound with the personnel is the user terminal bound with the intelligent safety helmet.

Therefore, the optional implementation mode can also judge whether the intelligent safety helmet is in a carried state before the intelligent safety helmet outputs the wearing prompt message, if so, the wearing prompt message is output, and if not, the wearing prompt message is output through the broadcasting device or the user terminal bound with the intelligent safety helmet, so that the probability of mistakenly outputting the wearing prompt message by the intelligent safety helmet can be reduced, and the probability of the output wearing prompt message noticed by corresponding personnel can be improved.

In yet another alternative embodiment, after the step 105 is performed, the method for warning of the smart helmet may further include the following operations:

and the intelligent safety helmet detects whether the target person wears the intelligent safety helmet within a preset time period after the wearing prompt information is output, and when the detection result is negative, a non-wearing record is generated and uploaded to the cloud management platform so as to trigger the cloud management platform to notify corresponding management persons. Therefore, the wearing condition of the intelligent safety helmet can be further detected after the wearing prompt message is sent out, and if the intelligent safety helmet is not worn, the intelligent safety helmet is reported to the cloud management platform, so that management personnel can take corresponding measures in time, and safety accidents caused by the fact that the intelligent safety helmet is not worn are reduced.

Therefore, by implementing the early warning method for the intelligent safety helmet described in fig. 1, whether the corresponding personnel are located in a dangerous area can be further judged when the corresponding personnel do not wear the intelligent safety helmet, if so, a wearing prompt message is output to the corresponding personnel to prompt the corresponding personnel to wear the intelligent safety helmet in time, so that the situation that potential safety hazards are brought to the corresponding personnel due to the fact that the corresponding personnel do not wear the intelligent safety helmet in time can be reduced, the safety performance of the intelligent safety helmet is improved, the intelligent safety helmet is more intelligent, and the use experience of the intelligent safety helmet is improved.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart illustrating another early warning method for an intelligent safety helmet according to an embodiment of the present invention. The method described in fig. 2 can be applied to intelligent safety helmets. As shown in fig. 2, the warning method of the intelligent safety helmet may include the following operations:

201. the intelligent safety helmet determines target parameters acquired by a sensing device on the intelligent safety helmet.

202. The intelligent safety helmet judges whether the intelligent safety helmet is in a worn state or not based on the collected target parameters, when the judgment result of the step 202 is negative, the step 203 can be triggered to be executed, and when the judgment result of the step 202 is positive, the step 206 can be triggered.

203. The intelligent safety helmet locates the current geographical position of the intelligent safety helmet.

204. The intelligent safety helmet judges whether the current geographical position is located in a predetermined dangerous area, and if so, the intelligent safety helmet triggers step 205; when the result of the determination is negative, step 206 may be triggered.

205. And outputting a wearing prompt message by the intelligent safety helmet, wherein the wearing prompt message is used for prompting that the corresponding target person is currently in a dangerous area and prompting the target person to wear the intelligent safety helmet.

In the embodiment of the present invention, please refer to the detailed description of step 101 to step 105 in the first embodiment for the other detailed descriptions of step 201 to step 205, which is not repeated herein.

206. The intelligent safety helmet judges whether the current geographical position of the intelligent safety helmet is located in a predetermined construction area, when the judgment result in the step 206 is yes, the process can be ended, and when the judgment result in the step 206 is no, the step 207 can be triggered to be executed.

In the embodiment of the invention, the predetermined construction area is a construction area corresponding to a corresponding person of the intelligent safety helmet, and the predetermined construction area can be pre-stored by the intelligent safety helmet or can be obtained by the intelligent safety helmet from a cloud management platform in time, which is not limited in the embodiment of the invention. Further, under the condition that the predetermined construction area is the intelligent safety helmet pre-storage, the specific mode that the intelligent safety helmet pre-stores the predetermined construction area is as follows:

after the intelligent safety helmet is started, the intelligent safety helmet downloads the construction arrangement condition of corresponding personnel of the intelligent safety helmet on the current date from the cloud management platform, wherein the construction arrangement condition at least comprises the construction area required to be constructed by the corresponding personnel on the current date;

when the construction area included in the construction arrangement situation is not empty, the intelligent safety helmet stores the construction area included in the construction arrangement situation.

The intelligent safety helmet can be opened after the verification of the verification information is passed when the intelligent safety helmet detects an opening instruction with the verification information triggered by corresponding personnel, or can be opened after receiving an opening instruction issued by a cloud management platform, and the embodiment of the invention is not limited.

It should be noted that, when the determination result in step 206 is negative, step 209 may also be directly triggered to be executed, and the embodiment of the present invention is not limited.

207. The intelligent safety helmet determines the current date, the current time and a construction scheduling schedule corresponding to the target personnel.

In the embodiment of the invention, the construction scheduling schedule corresponding to the target personnel comprises target dates on which the target personnel need to carry out construction and target time periods on which construction is needed on each target date.

208. The intelligent safety helmet judges whether the target personnel need to be constructed at the current time of the previous date according to a construction scheduling schedule, and triggers to execute a step 209 when the judgment result of the step 208 is positive; when the determination result in step 208 is negative, the present flow may be ended.

209. The intelligent safety helmet outputs a construction prompting message, and the construction prompting message prompts target personnel to wear the intelligent safety helmet and return to a construction area.

Therefore, the embodiment of the invention can further judge whether construction is needed at the current time of the current date when the corresponding personnel of the intelligent safety helmet is judged not to be in the corresponding construction area, and output the construction prompt message when the construction is needed at the current time of the current date is determined, thereby further enriching the intelligent function of the intelligent safety helmet and reducing the occurrence of trouble caused by the intelligent safety helmet outputting the construction prompt message by mistake to the corresponding personnel.

In an optional embodiment, after the step 209 is performed, the method for warning of the smart helmet may further include the following operations:

the intelligent safety helmet locates the geographical position of the intelligent safety helmet in real time within a time period of preset duration (such as 5 minutes) after the construction prompting message is output, and determines the moving track of the intelligent safety helmet according to the geographical position located within the time period;

when the moving track indicates that the intelligent safety helmet does not move towards the direction of the construction area, the intelligent safety helmet generates an absenteeism record and reports the absenteeism record to the cloud management platform. Wherein, this spacious worker's record can include the only sign of intelligent safety cap, and further can also include the duration that intelligent safety cap is not in the construction area.

It is thus clear that this optional embodiment can also in time send the construction and remind when the corresponding personnel of preliminary judgement intelligent safety helmet are not in the construction area, if when still not moving towards the direction in construction area after sending the construction and reminding, the spacious worker record of automatic generation reports to cloud management platform, can realize the construction supervision to corresponding personnel through intelligent safety helmet like this, need not to monitor on the spot through supervisory personnel, has improved supervision efficiency and supervision accuracy.

In another alternative embodiment, the target parameter may include at least a real-time physiological parameter set of the target person, and the real-time physiological parameter set may include at least one of a real-time body temperature, a real-time heart rate, a local perspiration amount, a real-time blood pressure, a respiratory frequency, and the like, which is not limited by the embodiment of the present invention. The early warning method of the intelligent safety helmet further comprises the following operations:

when the intelligent safety helmet is judged to be in a worn state, the intelligent safety helmet judges whether the physiological parameters included in the real-time physiological parameter set meet preset normal physiological conditions or not;

when the physiological parameters included in the real-time physiological parameter set are judged not to meet the preset normal physiological conditions, the intelligent safety helmet outputs an abnormal prompt message, and the abnormal prompt message is used for prompting that the target person is in an abnormal body state currently.

In this optional embodiment, further optionally, the determining, by the smart helmet, whether the physiological parameter included in the real-time physiological parameter set satisfies the preset normal physiological condition may include:

determining the parameter types of all physiological parameters in the real-time physiological parameter set, acquiring normal physiological parameters matched with each parameter type from the normal physiological parameter set of a target person according to all the parameter types, judging whether target physiological parameters which are not matched with the corresponding normal physiological parameters exist in the real-time physiological parameter set, and determining that the physiological parameters included in the real-time physiological parameter set do not meet preset normal physiological conditions when the target physiological parameters exist in the real-time physiological parameter set; alternatively, the first and second electrodes may be,

acquiring a weighted value of each physiological parameter, calculating the product of the characteristic value of each physiological parameter and the weighted value to obtain a product value corresponding to each physiological parameter, and calculating the sum of the product values corresponding to all physiological parameters to obtain a real-time health score of a target person;

Therefore, the optional embodiment can also intelligently judge whether the wearer is in an abnormal body state or not based on the acquired physiological parameters when the intelligent safety helmet is in the worn state, and if so, timely send out abnormal reminding so that the wearer can timely take corresponding measures, the intelligent function of the intelligent safety helmet is enriched, and the safety performance of the intelligent safety helmet is further improved.

In yet another optional embodiment, the early warning method of the intelligent safety helmet may further include the following operations:

when the intelligent safety helmet is in a worn state and the current geographical position of the intelligent safety helmet is located in a predetermined working area, the intelligent safety helmet judges whether the type of the intelligent safety helmet is matched with the current geographical position or not according to the current geographical position, wherein the construction scenes corresponding to different positions are different, and the types of the intelligent safety helmet required by different construction scenes are different;

when the type of the intelligent safety helmet is judged not to be matched with the current geographical position, the intelligent safety helmet outputs a replacement prompt message, the replacement prompt message is used for prompting a wearer of the intelligent safety helmet to replace the intelligent safety helmet worn by the wearer, and optionally, the replacement prompt message can comprise the type of the intelligent safety helmet matched with the construction scene corresponding to the current geographical position.

In the embodiment of the invention, when the construction scene corresponding to the current geographic position is a construction scene with weak light, the type of the intelligent safety helmet matched with the construction scene corresponding to the current geographic position is the type of the safety helmet with the searchlight.

Therefore, the optional embodiment can also intelligently judge whether the intelligent safety helmet worn by the wearer is matched with the construction scene, if not, the wearer is automatically reminded to replace the intelligent safety helmet, and the functions of the intelligent safety helmet are further enriched.

In the embodiment of the present invention, it should be noted that the step 206 may be executed without depending on the determination result of the step 202 or the step 204, the step 206 and the step 209 may form a single embodiment, and the step 206 to the step 209 may also form a single embodiment.

Therefore, the implementation of the early warning method for the intelligent safety helmet described in fig. 2 can reduce the occurrence of potential safety hazards to corresponding personnel due to the fact that the corresponding personnel do not wear the intelligent safety helmet in time, improve the safety performance of the intelligent safety helmet, enable the intelligent safety helmet to be more intelligent, and facilitate the improvement of the use experience of the intelligent safety helmet. In addition, can also intelligent judge whether the personnel that intelligent safety helmet corresponds are located the construction area, if not located the construction area, the personnel that export construction prompt message corresponds returns the construction area with the suggestion, so not only can realize the effective supervision to constructor, can also reduce the emergence because of constructor is not the accident that the construction area leads to, furthermore, can also combine corresponding personnel's construction scheduling timetable to judge whether its needs to be under construction at present when the personnel that correspond are not located the construction area (whether current time is the engineering time of corresponding personnel promptly), if yes, in time remind its to return the construction post, further realized the intelligent supervision to constructor.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an early warning device of an intelligent safety helmet according to an embodiment of the present invention. The device described in fig. 3 can be applied to a smart helmet. As shown in fig. 3, the early warning apparatus of the intelligent helmet may include:

the first determining module 301 is configured to determine a target parameter acquired by a sensing device on the smart helmet.

A judging module 302, configured to judge whether the smart helmet is in a worn state based on the collected target parameters.

And the positioning module 303 is configured to, when the determining module 302 determines that the intelligent safety helmet is not in the worn state, position the current geographic location where the intelligent safety helmet is located.

The determining module 302 is further configured to determine whether the current geographic location is within a predetermined danger area.

And an output module 304, configured to output a wearing prompt message when the determining module 302 determines that the current geographic location is within the dangerous area, where the wearing prompt message is used to prompt that the corresponding target person is currently in the dangerous area and prompt the target person to wear the intelligent safety helmet.

Therefore, the implementation of the early warning device of the intelligent safety helmet described in fig. 3 can reduce the occurrence of the situation that potential safety hazards are brought to corresponding personnel because the corresponding personnel do not wear the intelligent safety helmet in time, so that the safety performance of the intelligent safety helmet is improved, the intelligent safety helmet is more intelligent, and the use experience of the intelligent safety helmet is favorably improved.

In an optional embodiment, the determining module 302 may be further configured to determine whether the current geographic location is located in a predetermined construction area.

The output module 304 may further be configured to output a construction prompting message when the determining module 302 determines that the current geographic location is not located in the construction area, where the construction prompting message is used to prompt the target person to wear the intelligent safety helmet and return to the construction area.

Wherein the construction area is a construction area matched with the target personnel.

Therefore, the early warning device for implementing the intelligent safety helmet described in fig. 3 can also intelligently implement the construction supervision on corresponding personnel.

In this optional embodiment, further optionally, as shown in fig. 4, the apparatus may further include:

a second determining module 305, configured to determine, after the determining module 302 determines that the current geographic location is not located in the construction area, a current date, a current time, and a construction schedule corresponding to the target person, where the construction schedule includes target dates on which the target person needs to perform construction and target time periods on which construction needs to be performed on each target date.

The determining module 302 may further be configured to determine whether the target person needs to be constructed at the current time of the current date according to the construction scheduling schedule.

The specific way for the output module 304 to output the construction prompting message may be as follows:

when the determining module 302 determines that the target person needs to perform construction at the current time of the current date, the construction prompting message is output.

It can be seen that, the implementation of the early warning device of the intelligent safety helmet described in fig. 4 can further determine whether construction is needed at the current time of the current date when the corresponding personnel of the intelligent safety helmet is not in the corresponding construction area, and output construction prompt messages when the construction is needed at the current time of the current date, so that the intelligent function of the intelligent safety helmet is further enriched, and the occurrence of the situation that the intelligent safety helmet causes troubles to the corresponding personnel due to the fact that the construction prompt messages are output by mistake is reduced.

In another alternative embodiment, the target parameters include at least a set of real-time physiological parameters of the target person. The determining module 302 may further be configured to determine whether the physiological parameters included in the real-time physiological parameter set satisfy preset normal physiological conditions when the intelligent safety helmet is determined to be worn.

The output module 304 may be further configured to output an abnormal prompt message when the determining module 302 determines that the physiological parameter included in the real-time physiological parameter set does not satisfy the preset normal physiological condition, where the abnormal prompt message is used to prompt that the target person is currently in an abnormal body state.

In this alternative embodiment, the specific way for the determining module 302 to determine whether the physiological parameter included in the real-time physiological parameter set satisfies the preset normal physiological condition may be:

It can be seen that, implement the early warning device of intelligent safety helmet that figure 4 described and can also be based on the intelligent judgement of the physiological parameter that gathers whether the person of wearing is in the health abnormal state when intelligent safety helmet is in the state of being worn, if yes, then in time send out unusual warning to the person of wearing in time takes corresponding measure, richened intelligent function of intelligent safety helmet, further improved the security performance of intelligent safety helmet.

Example four

The embodiment of the invention discloses an intelligent safety helmet, which may include an early warning device of the intelligent safety helmet described in fig. 3 or fig. 4, and the embodiment of the invention is not limited.

EXAMPLE five

Referring to fig. 5, fig. 5 is a schematic structural diagram of another early warning device for an intelligent safety helmet according to an embodiment of the present disclosure. As shown in fig. 5, the early warning device of the intelligent safety helmet may include:

a memory 501 in which executable program code is stored;

a processor 502 coupled to a memory 501;

the processor 502 calls the executable program code stored in the memory 501 to execute the steps of the warning method of the intelligent helmet described in the first embodiment or the second embodiment of the present invention.

EXAMPLE six

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and the computer instructions are used for executing the steps in the early warning method of the intelligent safety helmet described in the first embodiment or the second embodiment of the invention when being called.

EXAMPLE seven

The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps in the early warning method of the intelligent safety helmet described in the first embodiment or the second embodiment.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other magnetic disk memories, magnetic tape memories, magnetic disk drives, magnetic tape drives, and magnetic tape drives, Or any other medium which can be used to carry or store data and which can be read by a computer.

Finally, it should be noted that: the early warning method and device for the intelligent safety helmet disclosed in the embodiments of the present invention are only the preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. An early warning method for intelligent safety helmets, which is characterized by comprising the following steps:

judging whether the current geographical position is located in a predetermined dangerous area, and outputting a wearing prompt message when the current geographical position is judged to be located in the dangerous area, wherein the wearing prompt message is used for prompting that a corresponding target person is currently located in the dangerous area and prompting the target person to wear the intelligent safety helmet;

wherein when the current geographic location is determined to be within the hazardous area, the method further comprises:

the intelligent safety helmet judges whether the intelligent safety helmet is in a carried state or not according to the collected motion parameters, and when the judgment result is yes, the operation of outputting the wearing prompt message is triggered and executed; and when the judgment result is negative, sending a wearing reminding request to a cloud management platform, wherein the wearing reminding request comprises the unique identifier of the intelligent safety helmet and is used for requesting the cloud management platform to start a broadcasting device which establishes a connection relation with the cloud management platform so as to trigger the broadcasting device to play a wearing reminding message and/or requesting the cloud management platform to send the wearing reminding message to a user terminal bound with the intelligent safety helmet.

2. The warning method of the intelligent safety helmet as claimed in claim 1, wherein the method further comprises:

3. The warning method of the intelligent safety helmet as claimed in claim 2, wherein after determining that the current geographical location is not located in the construction area, the method further comprises:

4. The warning method of intelligent safety helmet according to any of claims 1-3, wherein the target parameters comprise at least a real-time physiological parameter set of the target person, the method further comprising:

5. The warning method of the intelligent safety helmet as claimed in claim 4, wherein the determining whether the physiological parameters included in the real-time physiological parameter set satisfy the preset normal physiological conditions includes:

6. The early warning device of intelligent safety helmet, its characterized in that, the device is applied to in the intelligent safety helmet, the device includes:

the output module is used for outputting a wearing prompt message when the judging module judges that the current geographic position is located in the dangerous area, wherein the wearing prompt message is used for prompting that a corresponding target person is currently located in the dangerous area and prompting the target person to wear the intelligent safety helmet;

the device is further used for judging whether the intelligent safety helmet is in a carried state according to the collected motion parameters when the judging module judges that the current geographic position is located in the dangerous area, and triggering the output module to execute the operation of outputting the wearing prompt message when the judging result is yes; and when the judgment result is negative, sending a wearing reminding request to a cloud management platform, wherein the wearing reminding request comprises the unique identifier of the intelligent safety helmet and is used for requesting the cloud management platform to start a broadcasting device which establishes a connection relation with the cloud management platform so as to trigger the broadcasting device to play a wearing reminding message and/or requesting the cloud management platform to send the wearing reminding message to a user terminal bound with the intelligent safety helmet.

7. The early warning device of an intelligent safety helmet as claimed in claim 6, wherein the judging module is further configured to judge whether the current geographical location is in a predetermined construction area;

and the construction area is matched with the target personnel.

8. The warning device of intelligent safety helmet as recited in claim 7, further comprising:

9. The warning device of intelligent safety helmet of any of claims 6-8, wherein the target parameters comprise at least a real-time physiological parameter set of the target person;

10. The warning device of an intelligent safety helmet as claimed in claim 9, wherein the specific way for the determining module to determine whether the physiological parameters included in the real-time physiological parameter set satisfy the preset normal physiological conditions is as follows: