CN115778046A - Intelligent safety helmet regulation control method and system based on data analysis - Google Patents
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Abstract
The invention provides an intelligent safety helmet regulation control method and system based on data analysis, and relates to the technical field of electric digital data processing of intelligent safety helmets. The method comprises the steps of synchronously acquiring the first positions of all intelligent safety helmet wearers in a detection area and the ambient images around the wearers; detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; when the second position and the third position are detected in the environment image corresponding to the wearer at the same time, the working state of the corresponding construction equipment is determined based on the second position and the third position, the earphone noise reduction level of the intelligent safety helmet corresponding to the wearer is adjusted based on the first position of the wearer and the working states of all the construction equipment in the detection area, and the earphone noise reduction level is intelligently adjusted according to the working states of the construction equipment in the detection area.
Description
Technical Field
The invention relates to the technical field of electric digital data processing of intelligent safety helmets, in particular to an intelligent safety helmet regulation control method and system based on data analysis.
Background
When the workman was at the workplace during operation, in order to ensure safety, need wear safety helmet and gloves according to the regulation, along with the development of internet of things, can realize more multi-functional intelligent safety helmet and occupy the market gradually nowadays. Generally, the main functions of the intelligent safety helmet include communication, safety supervision, employee management and the like, and therefore, the intelligent safety helmet is generally provided with a network communication assembly, a voice assembly, an identity recognition assembly, an image acquisition assembly, a positioning assembly and the like.
At present, most of voice components of the intelligent safety helmet are simple microphones and earphones, and considering that a large amount of construction equipment capable of generating noise exists in a construction site, the earphones mostly adopt a passive noise reduction mode or an existing active noise reduction mode to reduce the influence of the noise on workers;
however, in actual use, the existing active noise reduction mode adjustment is based on control keys, gestures or voice control, and cannot be applied to construction places, for example, the ambient sound is noisy, the voice operation accuracy is low, and the gloves worn by workers also influence the operation of the workers on the keys and the accuracy of gesture recognition.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent safety helmet adjustment control method and system based on data analysis, and solves the problem that the existing intelligent safety helmet cannot intelligently adjust the noise reduction level of an earphone.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
in a first aspect, a method for intelligent helmet adjustment control based on data analysis includes:
s1, synchronously acquiring first positions of all intelligent safety helmet wearers in a detection area and environmental images around the wearers; the first position is position information of a wearer of the intelligent safety helmet in the detection area;
s2, detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; the second position is the position of the hand in the environment image; the third position is the position of the construction equipment in the environment image;
s3, if the second position and the third position are detected in the environment image corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position; the working state is open or closed;
s4, adjusting the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working states of all construction equipment in the detection area; the headphone noise reduction levels include an off and at least one noise reduction on level.
Further, the synchronous acquisition detection area each intelligent safety helmet wearer's primary importance and the surrounding image of the wearer include:
collecting a front image of a wearer as an environment image through a camera component of the intelligent safety helmet; the first position of the wearer is collected through the positioning assembly of the intelligent safety helmet.
Further, the real-time detection of the second position of the hand of the wearer and the third position of the construction equipment in each of the environmental images includes:
s201, before identification, setting different equipment identifiers on control keys of each construction equipment; the device identifier is used for identifying device information and control information; the control key comprises an on-off key;
s202, detecting an equipment identifier in the environment image, and taking the position of an identification frame of the equipment identifier as a third position of the construction equipment; meanwhile, acquiring a second position of the hand of the wearer based on the hand key point detection model; the second position is the position of the bounding box formed by the detected hand keypoints.
Further, if the second position and the third position are detected in the environmental image corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position includes:
s301, acquiring the number of second positions in the environment image; if the number of the second positions is not 0, executing S302; otherwise, recording that the second position is not detected;
s302, acquiring gestures and bounding box areas corresponding to each second position, and taking the bounding box exceeding the area threshold of the gesture corresponding to the wearer as the second position of the hand of the wearer;
and S303, when the second position and the third position intersect, updating the working state according to the control information of the equipment identifier.
Further, the step of obtaining the area threshold corresponding to the wearer includes:
taking the area of a bounding box formed by hand key points acquired by a wearer in an arm straightening state and under different gestures as an area threshold of the corresponding gesture of the wearer; and correlating with the information of the wearer to obtain area thresholds of different gestures corresponding to the wearer.
Further, the adjusting of the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working states of all construction equipment in the detection area includes:
s401, acquiring fourth positions of all construction equipment in the detection area, wherein the working states of the construction equipment are started;
s402, acquiring the distance between the first position and the fourth position;
s403, obtaining a noise reduction level of the suggested earphone corresponding to each distance based on a preset distance-noise reduction level mapping function;
and S404, adjusting the noise reduction level of the earphone based on the maximum noise reduction level of the suggested earphone.
Further, the device identifier is a two-dimensional code.
In a second aspect, a data analysis-based intelligent headgear adjustment control system is provided, the system comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the computer program.
(III) advantageous effects
The invention provides an intelligent safety helmet adjustment control method and system based on data analysis. Compared with the prior art, the method has the following beneficial effects:
the method comprises the steps of synchronously acquiring the first positions of all intelligent safety helmet wearers in a detection area and the ambient images around the wearers; detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; when the second position and the third position are detected in the environment image corresponding to the wearer at the same time, the working state of the corresponding construction equipment is determined based on the second position and the third position, the earphone noise reduction level of the intelligent safety helmet corresponding to the wearer is adjusted based on the first position of the wearer and the working states of all the construction equipment in the detection area, and the earphone noise reduction level is intelligently adjusted according to the working states of the construction equipment in the detection area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of the present invention;
FIG. 2 is a flowchart of step S2 according to an embodiment of the present invention;
FIG. 3 is a flowchart of step S3 according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but 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 embodiment of the application provides an intelligent safety helmet adjustment control method and system based on data analysis, and solves the problem that the noise reduction level of an earphone cannot be intelligently adjusted by an existing intelligent safety helmet.
In order to better understand the technical scheme, the technical scheme is described in detail in the following with reference to the attached drawings of the specification and specific embodiments.
Example 1:
as shown in fig. 1, the present invention provides a method for controlling adjustment of an intelligent safety helmet based on data analysis, the method comprising:
s1, synchronously collecting first positions of all intelligent safety helmet wearers in a detection area and environmental images around the wearers; the first position is position information of an intelligent safety helmet wearer in the detection area;
s2, detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; the second position is the position of the hand in the environment image; the third position is the position of the construction equipment in the environment image;
s3, if the second position and the third position are detected in the environment image corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position; the working state is open or closed;
s4, adjusting the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working states of all construction equipment in the detection area; the headphone noise reduction levels include an off and at least one noise reduction on level.
The beneficial effect of this embodiment does:
in the embodiment, first positions of all intelligent safety helmet wearers in a detection area and an environment image around the wearers are synchronously acquired; detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; when the second position and the third position are detected in the environment image corresponding to the wearer at the same time, the working state of the corresponding construction equipment is determined based on the second position and the third position, the earphone noise reduction level of the intelligent safety helmet corresponding to the wearer is adjusted based on the first position of the wearer and the working states of all the construction equipment in the detection area, and the earphone noise reduction level is intelligently adjusted according to the working states of the construction equipment in the detection area.
The following describes the implementation process of the embodiment of the present invention in detail:
the intelligent safety helmet of this embodiment includes at least: the safety helmet comprises a safety helmet body, a network communication assembly, an identity recognition assembly, a voice assembly, an image acquisition assembly and a positioning assembly.
The network communication component is used for realizing communication between the Internet and a local area network;
the identity recognition component is used for recognizing the identity of the wearer;
the voice component is used for collecting the voice of a wearer through a microphone and playing other audio data through an earphone; the earphone is provided with a noise reduction unit, so that the ambient noise around a wearer can be reduced;
the image acquisition assembly is used for acquiring an environmental image around the wearer through at least one camera arranged on the intelligent safety helmet;
the positioning component is used for acquiring positioning information of the wearer.
Therefore, the present embodiment includes the following steps:
s1, synchronously collecting first positions of all intelligent safety helmet wearers in a detection area and ambient images around the wearers.
In specific implementation, the detection area can be set as a construction site, and a plurality of construction devices and a plurality of workers wearing intelligent safety helmets are usually arranged in one detection area; collecting a front image of a wearer as an environment image through a camera component of the intelligent safety helmet; the first position of the wearer is collected through the positioning assembly of the intelligent safety helmet. The first position is positioning information of the intelligent safety helmet and serves as position information of a wearer in the detection area.
And S2, detecting the second position of the hand of the wearer and the third position of the construction equipment in each environment image in real time.
In specific implementation, the second position is the position of the hand in the environment image; the third position is the position of the construction equipment in the environmental image. In this embodiment, the detection method is not set, and any method capable of achieving the corresponding effect may be adopted, for example, the second position and the third position in the environmental image are recognized by training the deep learning network model. However, in consideration of the difference of construction equipment in actual environment, as shown in fig. 2, the following provides a convenient and feasible way to achieve the above effects:
s201, before identification, different equipment identifiers are set on control keys of the construction equipment.
In specific implementation, the control key comprises an on-off key; the device identifier is used for identifying device information and control information, and preferably, the device identifier is a two-dimensional code. Therefore, construction equipment with high noise, such as a fan, an electric saw, an electric drill and the like can be manually selected, and corresponding control keys are arranged on the construction equipment to realize the switching of the equipment, so that two-dimensional codes related to equipment information and control information can be manufactured, and the construction equipment in the environment image can be quickly identified in the subsequent process; and the two-dimensional code can be further fixed on the control key.
S202, detecting an equipment identifier in the environment image, and taking the position of an identification frame of the equipment identifier as a third position of the construction equipment; meanwhile, a second position of the wearer's hand is obtained based on the hand keypoint detection model.
In specific implementation, when the code is scanned, the identification frame of the two-dimensional code can be obtained and used as the position of the construction equipment in the environment image. The hand key point detection model can be realized by selecting an existing model, for example, a hand key point detection model is performed based on deep learning and OpenCV to obtain a plurality of hand key points, and then the second position can be set to be the position of the bounding box formed by the detected hand key points.
And S3, if the second position and the third position are detected in the environment image corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position.
In specific implementation, the working state is on or off.
However, in an actual usage environment, the number of the second positions in the environmental image may be different, and may be 0 or more, and not all cases represent that the wearer interacts with the construction equipment (i.e. the second position and the third position are detected simultaneously), so it is necessary to determine whether it is consistent to detect the second position and the third position simultaneously for different cases, as shown in fig. 3, and only one possible method is given below:
s301, acquiring the number of second positions in the environment image; if the number of the second positions is not 0, it indicates that the hand is detected, but it is necessary to determine whether the hand is the hand of the wearer, so S302 is performed; otherwise, it is stated that no hand is detected, and the second position is recorded as undetected.
S302, acquiring gestures and bounding box areas corresponding to each second position, and taking the bounding box exceeding the area threshold of the gesture corresponding to the wearer as the second position of the hand of the wearer;
during specific implementation, the size of the hand of a wearer and the difference of control keys of construction equipment are considered, area thresholds of different gestures need to be set for different wearers, for example, if the control keys are of a knob structure, possible gestures during interaction of the wearer are meshing gestures combined by two fingers, and if the control keys are buttons, possible gestures during interaction of the wearer are pressing gestures with open five fingers or pressing gestures extending all the time, so that the size difference of the bounding boxes corresponding to each gesture is large, and the sizes of the hands of different wearers can also have differences, and further the size difference of the bounding boxes is large.
In order to more accurately obtain the sizes of bounding boxes corresponding to different gestures of a wearer, a feasible implementation manner is given as follows:
k1, straightening arms of a wearer; namely the position farthest from the image acquisition assembly, and the area is also the minimum;
k2, making different gestures;
k3, performing gesture recognition to obtain the area of the corresponding bounding box as the area threshold of the gesture;
k4, associating the gesture and the area of the bounding box of the gesture with the information of the wearer;
and K5, repeating the steps until the area thresholds of all the gestures of the wearer are recorded.
And S303, when the second position and the third position are crossed, the wearer is shown to interact with the construction equipment, and therefore the working state is updated according to the control information of the equipment identifier. For example, if the bounding box of the hand of the wearer intersects with the two-dimensional code identification frame of the power-on key, the wearer is considered to have further power-on operation.
And S4, adjusting the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working states of all construction equipment in the detection area.
In particular implementations, the headphone noise reduction levels include an off and at least one noise reduction on level, such as off, weak noise reduction, strong noise reduction.
In this embodiment, for the detection area with a small area, it may be set that when there is a construction device with a working state being turned on in the detection area, the noise reduction is turned on, but for the detection area with a large area, the following steps may be adopted to adjust the noise reduction level of the earphone of the intelligent safety helmet:
s401, acquiring fourth positions of all construction equipment in the detection area, wherein the working states of the construction equipment are started; in specific implementation, the first position of the wearer interacting with the construction equipment can be used as the fourth position of the interacting construction equipment;
s402, acquiring the distance between the first position and the fourth position; the distance may be a straight line distance;
s403, obtaining a noise reduction level of the suggested earphone corresponding to each distance based on a preset distance-noise reduction level mapping function;
and S404, adjusting the noise reduction level of the earphone based on the maximum noise reduction level of the suggested earphone.
In specific implementation, the distance-noise reduction level mapping function is manually set in advance, and needs to be determined according to the noise reduction level of the optional earphone, and the distance is inversely related to the noise reduction level; for example, the selectable earphone noise reduction levels are off, weak noise reduction and strong noise reduction, when the distance is greater than 100m, the earphone noise reduction level is recommended to be off, and when the distance is less than 10m, the earphone noise reduction level is recommended to be strong noise reduction.
Example 2
The invention also provides an intelligent safety helmet adjustment control system based on data analysis, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the following steps:
s1, synchronously acquiring first positions of all intelligent safety helmet wearers in a detection area and environmental images around the wearers; the first position is position information of an intelligent safety helmet wearer in the detection area;
s2, detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; the second position is the position of the hand in the environment image; the third position is the position of the construction equipment in the environment image;
s3, if the second position and the third position are detected in the environment image corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position; the working state is open or closed;
s4, adjusting the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working states of all construction equipment in the detection area; the headphone noise reduction levels include an off and at least one noise reduction on level.
It can be understood that the data analysis-based intelligent helmet adjustment control system provided in the embodiment of the present invention corresponds to the data analysis-based intelligent helmet adjustment control method, and the explanation, examples, and beneficial effects of the relevant contents thereof may refer to the corresponding contents in the data analysis-based intelligent helmet adjustment control method, which are not described herein again.
In summary, compared with the prior art, the invention has the following beneficial effects:
(1) the method comprises the steps of synchronously acquiring the first positions of all intelligent safety helmet wearers in a detection area and the ambient images around the wearers; detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; when the second position and the third position are detected in the environment image corresponding to the wearer at the same time, the working state of the corresponding construction equipment is determined based on the second position and the third position, the earphone noise reduction level of the intelligent safety helmet corresponding to the wearer is adjusted based on the first position of the wearer and the working states of all the construction equipment in the detection area, and the earphone noise reduction level is intelligently adjusted according to the working states of the construction equipment in the detection area.
It should be noted that, through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform. With this understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments. In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An intelligent safety helmet adjustment control method based on data analysis is characterized by comprising the following steps:
s1, synchronously acquiring first positions of all intelligent safety helmet wearers in a detection area and environmental images around the wearers; the first position is position information of an intelligent safety helmet wearer in the detection area;
s2, detecting a second position of the hand of the wearer and a third position of the construction equipment in each environment image in real time; the second position is the position of the hand in the environment image; the third position is the position of the construction equipment in the environment image;
s3, if the second position and the third position are detected in the environment image corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position; the working state is open or closed;
s4, adjusting the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working states of all construction equipment in the detection area; the headphone noise reduction levels include an off and at least one noise reduction on level.
2. The method as claimed in claim 1, wherein the step of synchronously acquiring the first position of each of the wearers of the smart helmet and the image of the environment around the wearer in the detection area comprises:
collecting a front image of a wearer as an environment image through a camera component of the intelligent safety helmet; the first position of the wearer is collected through the positioning assembly of the intelligent safety helmet.
3. The intelligent helmet adjustment control method based on data analysis of claim 1, wherein the real-time detection of the second position of the hand of the wearer and the third position of the construction equipment in each of the environmental images comprises:
s201, before identification, setting different equipment identifiers on control keys of each construction equipment; the device identifier is used for identifying device information and control information; the control key comprises an on-off key;
s202, detecting an equipment identifier in the environment image, and taking the position of an identification frame of the equipment identifier as a third position of the construction equipment; meanwhile, acquiring a second position of the hand of the wearer based on the hand key point detection model; the second position is the position of the bounding box formed by the detected hand keypoints.
4. The method as claimed in claim 3, wherein if the second position and the third position are detected in the image of the environment corresponding to the wearer at the same time, determining the working state of the corresponding construction equipment based on the second position and the third position comprises:
s301, acquiring the number of second positions in the environment image; if the number of the second positions is not 0, executing S302; otherwise, recording that the second position is not detected;
s302, acquiring gestures and bounding box areas corresponding to each second position, and taking the bounding box exceeding the area threshold of the gesture corresponding to the wearer as the second position of the hand of the wearer;
and S303, when the second position and the third position intersect, updating the working state according to the control information of the equipment identifier.
5. The intelligent safety helmet adjustment control method based on data analysis of claim 4, wherein the step of obtaining the corresponding area threshold value of the wearer comprises:
taking the area of a bounding box formed by hand key points acquired by a wearer in an arm straightening state and under different gestures as an area threshold of the corresponding gesture of the wearer; and correlating with the information of the wearer to obtain area thresholds of different gestures corresponding to the wearer.
6. The intelligent safety helmet adjustment control method based on data analysis of claim 4, wherein the adjusting of the noise reduction level of the earphone of the intelligent safety helmet corresponding to the wearer based on the first position of the wearer and the working state of all construction equipment in the detection area comprises:
s401, acquiring fourth positions of all construction equipment with working states of being started in the detection area;
s402, acquiring the distance between the first position and the fourth position;
s403, obtaining a noise reduction grade of a suggested earphone corresponding to each distance based on a preset distance-noise reduction grade mapping function;
and S404, adjusting the noise reduction level of the earphone based on the maximum noise reduction level of the suggested earphone.
7. The intelligent safety helmet adjustment control method based on data analysis of claim 3, wherein the device identifier is a two-dimensional code.
8. An intelligent helmet adjustment control system based on data analysis, the system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the method according to any of the preceding claims 1 to 7.
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| WO2022135340A1 (en) * | 2020-12-22 | 2022-06-30 | 华为技术有限公司 | Active noise reduction method, device and system |
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