CN116246421A - Safety early warning method, system and equipment based on intelligent wearing - Google Patents
Safety early warning method, system and equipment based on intelligent wearing Download PDFInfo
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Abstract
The application discloses a safety early warning method, system and equipment based on intelligent wearing belongs to the technical field of safety alarm and is used for solving the problem that the existing intelligent wearing equipment cannot realize personnel safety early warning. Comprising the following steps: acquiring vital sign data and operation data of building constructors; predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data and the operation data; when the construction danger coefficient exceeds a preset threshold value, triggering an alarm to prompt the building constructor. The method realizes the real-time monitoring of vital sign data of building constructors, and alarms when the vital sign data are abnormal. And sensors are arranged on the machinery and the building materials at the construction site for ranging, and alarm is given when the distance is smaller than the safe distance. According to the scheme provided by the embodiment of the application, the safety management efficiency of the building constructors can be remarkably improved, and the current working safety situation of the building constructors is improved.
Description
Technical Field
The application relates to the technical field of safety alarm, in particular to a safety early warning method, system and equipment based on intelligent wearing.
Background
It is counted that the construction industry workers are twice as likely to be injured as other industry workers. Therefore, the project management in the building industry focuses on the life safety of building constructors while focusing on conventional quality, construction period, progress and other indexes.
The development of the internet of things technology promotes the growth of a great deal of emerging technologies, in particular intelligent wearable equipment. The intelligent wearing technology can realize building construction management by means of the Internet of things. However, most of the current intelligent wearing technologies take assistance in construction as important points, and personal safety management of constructors is omitted.
Disclosure of Invention
The embodiment of the application provides a safety early warning method, system and equipment based on intelligent wearing, which are used for solving the technical problem that the existing intelligent wearing technology cannot realize personnel safety early warning.
In one aspect, an embodiment of the present application provides a security early warning method based on intelligent wearing, where the method includes: acquiring vital sign data and operation data of building constructors; predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data and the operation data; wherein the construction danger coefficient is divided into 1-10 grades; when the construction danger coefficient exceeds a preset threshold value, triggering an alarm to prompt the building constructor.
In one implementation of the present application, the vital sign data includes: body temperature, blood pressure and heart rate; the job data includes: the position of the building constructor, the mechanical position of the construction site, the position of the building material, the bending angle of the wrist of the building constructor and the bending angle of the waist of the building constructor.
In one implementation manner of the present application, predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data specifically includes: monitoring vital sign data of the building constructors in a preset time period; comparing the vital sign data with vital sign data stored in a database, and if the vital sign data of the building constructor is continuously abnormal within a preset time period, generating a current construction risk coefficient of the building constructor; judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
In one implementation manner of the present application, predicting a construction risk coefficient of the building constructor in a preset time period based on the operation data specifically includes: acquiring the position of the building constructor, the mechanical position of a construction site and the position of building materials; calculating a first distance value between the position of the building constructor and the position of the construction site machine, and a second distance value between the position of the building constructor and the position of the building material; determining whether the first distance value and/or the second distance value are/is smaller than a preset safety distance threshold value or not respectively, and if the first distance value and/or the second distance value are/is smaller than the preset safety distance threshold value, generating a current construction risk coefficient of the building constructor; judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
In one implementation of the present application, the method further includes: acquiring the wrist bending angle and the waist bending angle of the building constructor; determining whether the wrist bending angle exceeds a first preset angle threshold and whether the waist bending angle exceeds a second preset angle threshold within a preset time period; if the wrist bending angle exceeds a first preset angle threshold value and/or the waist bending angle exceeds a second preset angle threshold value, generating a current construction risk coefficient of the building constructor; judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
In one implementation of the present application, the method further includes: acquiring a construction image of a building construction site; based on an image processing technology, identifying whether construction dangerous situations occur in the construction image; wherein, the construction dangerous case includes: collapse of foundation pit and scaffold; if the construction dangerous situation occurs, triggering an alarm to prompt the building constructor and sending a distress signal to a construction control room.
In one implementation manner of the present application, the sending a distress signal to a construction control room specifically includes: generating construction dangerous case information appearing on the current construction site; acquiring the position of the building constructor; and sending the construction dangerous case information and the first position of the building constructor to a construction control room.
The embodiment of the application also provides a safety early warning system based on intelligent wearing, which applies the safety early warning method based on intelligent wearing, and comprises the following steps: the data acquisition module is used for acquiring vital sign data and operation data of building constructors; the danger prediction module is used for predicting construction danger coefficients of the building constructors in a preset time period based on the vital sign data and the operation data; wherein the construction danger coefficient is divided into 1-10 grades; and the alarm module is used for triggering an alarm to prompt the building constructor when the construction danger coefficient exceeds a preset threshold value.
In one implementation of the present application, the data acquisition module includes an intelligent wearable device and a number of ranging sensors; the intelligent wearing equipment is worn on the body of the building constructor and used for monitoring vital sign data of the building constructor, and the plurality of ranging sensors are arranged on machinery and building materials of a construction site; the intelligent wearable device is connected with the ranging sensors in a communication mode based on the built-in wireless communication module and is used for acquiring distance values of building constructors, machinery on a construction site and building materials, and the intelligent wearable device is communicated with equipment of a construction control room through the wireless communication module.
The embodiment of the application also provides safety precaution equipment based on intelligent wearing, the equipment includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
According to the safety early warning method, system and equipment based on intelligent wearing, the intelligent wearing equipment is worn on the body of a building constructor, vital sign data of the building constructor are monitored in real time, and alarming is conducted when the vital sign data are abnormal. And sensors are arranged on the machinery and the building materials at the construction site for ranging, and alarm is given when the distance is smaller than the safe distance. According to the scheme provided by the embodiment of the application, the safety management efficiency of the building constructors can be remarkably improved, and the current working safety situation of the building constructors is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flowchart of a security early warning method based on intelligent wearing according to an embodiment of the present application;
fig. 2 is a diagram of a safety precaution system based on intelligent wearing according to an embodiment of the present application;
fig. 3 is a schematic diagram of communication interaction of the smart wearable device in an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It is counted that the probability of injury of workers in the construction industry is twice that of workers in other industries, and the probability of death is three times that of workers in other industries. Therefore, the project management in the building industry focuses on the life safety of building constructors while focusing on conventional quality, construction period, progress and other indexes.
The development of the internet of things technology promotes the growth of a great deal of emerging technologies, in particular intelligent wearable equipment. The intelligent wearing technology can realize building construction management by means of the Internet of things. However, most of the current intelligent wearing technologies take assistance in construction as important points, and personal safety management of constructors is omitted.
The embodiment of the application provides a safety early warning method, system and equipment based on intelligent wearing, which are used for solving the technical problem that the existing intelligent wearing technology cannot realize personnel safety early warning. The following describes in detail the technical solution proposed in the embodiments of the present application through the accompanying drawings.
Fig. 1 is a flowchart of a security early warning method based on intelligent wearing according to an embodiment of the present application. As shown in fig. 1, the method mainly comprises the following steps:
and 101, acquiring vital sign data and operation data of building constructors.
In this application embodiment, based on wear the intelligent wearing equipment on building constructor's health and acquire building constructor's vital sign data, vital sign data includes data such as body temperature, rhythm of the heart and blood pressure, still through installing everywhere sensor at the job site, acquire real-time construction operation data, include: the position of the building constructor, the mechanical position of the construction site, the position of the building material, the bending angle of the wrist of the building constructor and the bending angle of the waist of the building constructor.
And 102, predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data and the operation data.
In the embodiment of the present application, specifically, step 102 is divided into two parts, firstly, calculating risk factors according to vital sign data, specifically: first, vital sign data of the building constructor in a preset time period is monitored.
And then comparing the vital sign data with vital sign data stored in a database, and if the vital sign data of the building constructor is continuously abnormal within a preset time period, generating the current construction risk coefficient of the building constructor.
In this embodiment of the present application, the construction risk coefficient corresponding to the abnormal vital sign data is set to 7-10, specifically according to the vital sign data, if the vital sign data exceeds the normal value too much, for example, the heart rate exceeds 140, the construction risk coefficient is set to 10, for example, the heart rate 120, the construction risk coefficient is set to 8, and the heart rate 100 is set to 7, because the constructor is engaged in heavy physical labor, the heart rate at a certain moment actually exceeds the normal heart rate, so that the vital sign data is set to be detected in a certain period of time, and erroneous judgment is avoided. Similarly, blood pressure monitoring is similar to heart rate monitoring, and therefore, the description thereof is omitted.
And finally, judging whether the current construction risk coefficient exceeds a preset threshold value, wherein the risk coefficient is 1-10, and the threshold value is 6, namely, if the current construction risk coefficient exceeds 6, giving an alarm. According to different danger coefficients, the alarm content is also different, if the danger coefficient is just 6, the constructor is reminded to pay attention to rest or wait for observation, and if the danger coefficient reaches 9 or 10, the alarm prompt is to stop working immediately and contact with the construction control room for help.
In this embodiment of the present application, predicting, according to the operation data, a construction risk coefficient of the building constructor in a preset time period specifically includes: firstly, acquiring the position of the building constructor, the mechanical position of a construction site and the position of building materials; then a first distance value between the location of the construction staff and the location of the construction site machine and a second distance value between the location of the construction staff and the location of the building material are calculated.
Further, whether the first distance value and/or the second distance value are smaller than a preset safety distance threshold value or not is determined respectively, and if the first distance value and/or the second distance value are smaller than the preset safety distance threshold value, a current construction risk coefficient of the building constructor is generated.
Further, judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
And 103, triggering an alarm to prompt the building constructor when the construction danger coefficient exceeds a preset threshold value.
In an embodiment of the application, the method further comprises monitoring whether a construction person is subjected to fatigue construction or limb stiffness. The process comprises the following steps: firstly, acquiring a wrist bending angle and a waist bending angle of the building constructor based on a worn intelligent wearing device; then determining whether the wrist bending angle exceeds a first preset angle threshold and whether the waist bending angle exceeds a second preset angle threshold within a preset time period; if the wrist bending angle exceeds a first preset angle threshold value and/or the waist bending angle exceeds a second preset angle threshold value, generating a current construction risk coefficient of the building constructor; and judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
In an embodiment of the application, the method further comprises monitoring whether the construction site is dangerous or not, and then alarming. The process comprises the following steps: firstly, acquiring a construction image of a building construction site through intelligent wearing equipment; then, based on an image processing technology, identifying whether construction dangerous cases occur in the construction image; wherein, the construction dangerous case includes: collapse of foundation pit and scaffold; if the construction dangerous situation occurs, triggering an alarm to prompt the building constructor and sending a distress signal to a construction control room.
Further, send out the distress signal, specifically include: generating construction dangerous case information appearing on the current construction site; acquiring the position of the building constructor; and sending the construction dangerous case information and the first position of the building constructor to a construction control room. After the control room receives the message, the control room can stand up to the position of the constructor with the alarm for rescue.
The foregoing is a safety precaution method based on intelligent wearing that the embodiment of the present application provides, based on the same inventive concept, and the embodiment of the present application also provides a safety precaution system based on intelligent wearing, and fig. 2 is a composition diagram of a safety precaution system based on intelligent wearing that the embodiment of the present application provides, as shown in fig. 2, where the system mainly includes: a data acquisition module 201, configured to acquire vital sign data and operation data of a building constructor; a risk prediction module 202, configured to predict a construction risk coefficient of the building constructor in a preset time period based on the vital sign data and the operation data; and the alarm module 203 is used for triggering an alarm to prompt the building constructor when the construction danger coefficient exceeds a preset threshold value.
In the embodiment of the application, the data acquisition module comprises intelligent wearable equipment and a plurality of ranging sensors; as shown in fig. 3, fig. 3 is an information interaction of an intelligent wearable device, wherein the intelligent wearable device is worn on a person of the building constructor and is used for monitoring vital sign data of the building constructor, and the plurality of ranging sensors are installed on machinery and building materials of a construction site; the intelligent wearable device is connected with the ranging sensors in a communication mode based on the built-in wireless communication module and is used for acquiring distance values of building constructors, machinery on a construction site and building materials, and the intelligent wearable device is communicated with equipment of a construction control room through the wireless communication module.
The foregoing is a safety precaution system based on intelligent wearing that this application embodiment provided, based on same inventive concept, this application embodiment still provides a safety precaution equipment based on intelligent wearing, and fig. 3 is a safety precaution equipment schematic diagram based on intelligent wearing that this application embodiment provided, as shown in fig. 3, this equipment mainly includes: at least one processor 301; and a memory 302 communicatively coupled to the at least one processor; wherein the memory 302 stores instructions executable by the at least one processor 301, the instructions being executable by the at least one processor 301 to enable the at least one processor 301 to: acquiring vital sign data and operation data of building constructors; predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data and the operation data; when the construction danger coefficient exceeds a preset threshold value, triggering an alarm to prompt the building constructor.
In addition, the embodiments of the present application further provide a nonvolatile computer storage medium storing computer executable instructions configured to:
the present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. A security early warning method based on intelligent wearing, the method comprising:
acquiring vital sign data and operation data of building constructors;
predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data and the operation data;
when the construction danger coefficient exceeds a preset threshold value, triggering an alarm to prompt the building constructor.
2. The smart wearable based security pre-warning method of claim 1, wherein the vital sign data comprises: body temperature, blood pressure and heart rate; the job data includes: the position of the building constructor, the mechanical position of the construction site, the position of the building material, the bending angle of the wrist of the building constructor and the bending angle of the waist of the building constructor.
3. The intelligent wearing-based safety precaution method according to claim 1, characterized by predicting a construction risk coefficient of the building constructor in a preset time period based on the vital sign data, specifically comprising:
monitoring vital sign data of the building constructors in a preset time period;
comparing the vital sign data with vital sign data stored in a database, and if the vital sign data of the building constructor is continuously abnormal within a preset time period, generating a current construction risk coefficient of the building constructor;
judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
4. The intelligent wearing-based safety precaution method according to claim 1, characterized in that the construction risk coefficient of the building constructor in a preset time period is predicted based on the operation data, and specifically comprises the following steps:
acquiring the position of the building constructor, the mechanical position of a construction site and the position of building materials;
calculating a first distance value between the position of the building constructor and the position of the construction site machine, and a second distance value between the position of the building constructor and the position of the building material;
determining whether the first distance value and/or the second distance value are/is smaller than a preset safety distance threshold value or not respectively, and if the first distance value and/or the second distance value are/is smaller than the preset safety distance threshold value, generating a current construction risk coefficient of the building constructor;
judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
5. The smart wearable based security pre-warning method of claim 4, further comprising:
acquiring the wrist bending angle and the waist bending angle of the building constructor;
determining whether the wrist bending angle exceeds a first preset angle threshold and whether the waist bending angle exceeds a second preset angle threshold within a preset time period;
if the wrist bending angle exceeds a first preset angle threshold value and/or the waist bending angle exceeds a second preset angle threshold value, generating a current construction risk coefficient of the building constructor;
judging whether the current construction danger coefficient exceeds a preset threshold value, and triggering an alarm if the current construction danger coefficient exceeds the preset threshold value.
6. The smart wearable based security pre-warning method of claim 1, further comprising:
acquiring a construction image of a building construction site;
based on an image processing technology, identifying whether construction dangerous situations occur in the construction image; wherein, the construction dangerous case includes: collapse of foundation pit and scaffold;
if the construction dangerous situation occurs, triggering an alarm to prompt the building constructor and sending a distress signal to a construction control room.
7. The intelligent wearing-based safety precaution method according to claim 6, wherein the sending a distress signal to a construction control room specifically comprises:
generating construction dangerous case information appearing on the current construction site;
acquiring the position of the building constructor;
and sending the construction dangerous case information and the first position of the building constructor to a construction control room.
8. A smart wear based security early warning system applying the smart wear based security early warning method of any one of claims 1 to 7, the system comprising:
the data acquisition module is used for acquiring vital sign data and operation data of building constructors;
the danger prediction module is used for predicting construction danger coefficients of the building constructors in a preset time period based on the vital sign data and the operation data;
and the alarm module is used for triggering an alarm to prompt the building constructor when the construction danger coefficient exceeds a preset threshold value.
9. The smart wearable based security early warning system of claim 8, wherein the data acquisition module comprises a smart wearable device and a number of ranging sensors; the intelligent wearing equipment is worn on the body of the building constructor and used for monitoring vital sign data of the building constructor, and the plurality of ranging sensors are arranged on machinery and building materials of a construction site; the intelligent wearable device is connected with the ranging sensors in a communication mode based on the built-in wireless communication module and is used for acquiring distance values of building constructors, machinery on a construction site and building materials, and the intelligent wearable device is communicated with equipment of a construction control room through the wireless communication module.
10. A security early warning device based on intelligent wearing, the device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310483226.0A CN116246421A (en) | 2023-05-04 | 2023-05-04 | Safety early warning method, system and equipment based on intelligent wearing |
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| CN202310483226.0A CN116246421A (en) | 2023-05-04 | 2023-05-04 | Safety early warning method, system and equipment based on intelligent wearing |
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| CN202310483226.0A Pending CN116246421A (en) | 2023-05-04 | 2023-05-04 | Safety early warning method, system and equipment based on intelligent wearing |
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| CN109274931A (en) * | 2018-08-01 | 2019-01-25 | 深圳云天励飞技术有限公司 | Site safety monitoring method, device and equipment based on image |
| KR101951119B1 (en) * | 2017-09-28 | 2019-02-21 | 이태훈 | Danger warning apparatus of construction site |
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| CN114612866A (en) * | 2022-05-12 | 2022-06-10 | 东营固泰尔建筑科技有限责任公司 | Intelligent identification method, device and equipment for safety in building site |
| CN114794639A (en) * | 2022-05-05 | 2022-07-29 | 中国电建集团重庆工程有限公司 | Safety helmet |
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| KR101951119B1 (en) * | 2017-09-28 | 2019-02-21 | 이태훈 | Danger warning apparatus of construction site |
| CN109274931A (en) * | 2018-08-01 | 2019-01-25 | 深圳云天励飞技术有限公司 | Site safety monitoring method, device and equipment based on image |
| CN111145479A (en) * | 2019-12-31 | 2020-05-12 | 清华大学 | Construction dangerous environment real-time early warning platform and method based on BIM positioning technology |
| CN112084878A (en) * | 2020-08-14 | 2020-12-15 | 浙江工业大学 | Method for judging attitude standard degree of operator |
| CN114794639A (en) * | 2022-05-05 | 2022-07-29 | 中国电建集团重庆工程有限公司 | Safety helmet |
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