CN109331400B - Big data detection method - Google Patents
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- CN109331400B CN109331400B CN201810287143.3A CN201810287143A CN109331400B CN 109331400 B CN109331400 B CN 109331400B CN 201810287143 A CN201810287143 A CN 201810287143A CN 109331400 B CN109331400 B CN 109331400B
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- 238000001514 detection method Methods 0.000 title claims abstract description 33
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- 230000008859 change Effects 0.000 claims description 34
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- 238000007405 data analysis Methods 0.000 claims description 9
- 230000007246 mechanism Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 3
- 230000008602 contraction Effects 0.000 claims description 2
- 230000007704 transition Effects 0.000 claims description 2
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- 239000003245 coal Substances 0.000 description 7
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- 238000009412 basement excavation Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004549 pulsed laser deposition Methods 0.000 description 2
- RHZUVFJBSILHOK-UHFFFAOYSA-N anthracen-1-ylmethanolate Chemical compound C1=CC=C2C=C3C(C[O-])=CC=CC3=CC2=C1 RHZUVFJBSILHOK-UHFFFAOYSA-N 0.000 description 1
- 239000003830 anthracite Substances 0.000 description 1
- 238000004939 coking Methods 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B22/00—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements
- A63B22/02—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills
- A63B22/0235—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills driven by a motor
- A63B22/0242—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills driven by a motor with speed variation
- A63B22/025—Exercising apparatus specially adapted for conditioning the cardio-vascular system, for training agility or co-ordination of movements with movable endless bands, e.g. treadmills driven by a motor with speed variation electrically, e.g. D.C. motors with variable speed control
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0087—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load
- A63B2024/0093—Electric or electronic controls for exercising apparatus of groups A63B21/00 - A63B23/00, e.g. controlling load the load of the exercise apparatus being controlled by performance parameters, e.g. distance or speed
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/05—Image processing for measuring physical parameters
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/50—Force related parameters
- A63B2220/56—Pressure
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
- A63B2220/806—Video cameras
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2230/00—Measuring physiological parameters of the user
- A63B2230/04—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations
- A63B2230/06—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations heartbeat rate only
- A63B2230/062—Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations heartbeat rate only used as a control parameter for the apparatus
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Cardiology (AREA)
- Vascular Medicine (AREA)
- Image Processing (AREA)
Abstract
The invention relates to a big data detection method, which comprises the steps of providing a deviation big data detection system, adding a pressure detection device and an image acquisition processing device on a running machine, detecting various on-site parameters, accurately identifying the condition that a sportsman is too deviated in the horizontal direction, and providing emergency protection for the sportsman.
Description
Technical Field
The invention relates to the field of big data, in particular to a big data detection method.
Background
The existing society is a society with high-speed development, developed science and technology and information circulation, people communicate with each other more and more closely, the life is more and more convenient, and big data is a product of the high-tech era. The onset of the Marangyuntai lecture by Alibara is mentioned, the future era will not be the IT era, but the DT era, namely Data Technology, and the big Data is shown to play a significant role for the Alibara group.
Somebody has compared data to coal mines where energy is stored. The coal is classified according to properties such as coking coal, anthracite, fat coal, lean coal and the like, and the excavation cost of open pit coal mines and deep mountain coal mines is different. Similarly, big data is not "big" but "useful". The value content and the excavation cost are more important than the quantity. For many industries, how to utilize these large-scale data is a key to gain competition.
Disclosure of Invention
In order to solve the problems, the invention provides a big data detection method, wherein a pressure detection device and an image acquisition processing device are added on a treadmill to detect various parameters on site, and on the basis, under the condition that the horizontal direction of a sportsman is over off-tracking is accurately identified, a horizontal direction support rod which is automatically controlled is introduced to provide emergency protection for the sportsman.
More specifically, the invention has at least the following three important points:
(1) a detection mechanism of a left-right swinging state on the sports personnel running machine with the linkage of a pressure detector, image shooting equipment and image recognition equipment is established, and the horizontal deviation condition of the sports personnel is effectively detected;
(2) under the condition that the horizontal direction of the sporter is too off tracking, the automatically controlled horizontal direction supporting rod is introduced to provide emergency protection for the sporter, so that accidents are avoided;
(3) whether the pixels with the sharp hue change, the sharp brightness change and the sharp saturation change exist or not is identified based on the hue component, the brightness component and the saturation component of each pixel of the image, and therefore high-precision resolution of the image problem is achieved.
According to one aspect of the invention, a big data detection method is provided, the method comprises providing a deviation big data detection system, adding a pressure detection device and an image acquisition processing device on a treadmill, detecting various parameters on site, accurately identifying the situation that a sportsman is too deviated in the horizontal direction, and providing emergency protection for the sportsman, wherein the deviation big data detection system comprises:
the first pressure detector is arranged below the left side of the treadmill pedal and used for detecting the pressure sensed by the first pressure detector to obtain and output a first pressure value, wherein the position of the first pressure detector deviates from a preset treading area of the treadmill pedal, and the first pressure detector adopts a big data server to detect the pressure;
the second pressure detector is arranged below the right side of the treadmill pedal and used for detecting the pressure sensed by the second pressure detector so as to obtain and output a second pressure value, wherein the position of the second pressure detector deviates from the preset treading area of the treadmill pedal;
the first shooting device is arranged on the left side of an instrument panel of the treadmill and is positioned on the same vertical plane with the first pressure detector, the vertical plane is not only vertical to the ground plane, but also vertical to the plane where the vertical support of the treadmill is positioned, and the first shooting device is used for carrying out left-side image acquisition on the left side of a treadmill pedal so as to obtain and output a first scene image;
the second shooting device is arranged on the right side of an instrument panel of the running machine and is positioned on the same vertical plane with the second pressure detector, the vertical plane is parallel to the vertical plane where the first shooting device and the first pressure detector are located, and the second shooting device is used for acquiring right-side images of the right side of a running machine pedal to obtain and output a second scene image;
and the instrument panel control chip is respectively connected with the first pressure detector, the second pressure detector, the first shooting device and the second shooting device, and is used for switching the first shooting device from a power saving mode to a power consumption mode and outputting an obtained first scene image as a target scene image when the received first pressure value is greater than or equal to a preset pressure threshold value, and is also used for switching the second shooting device from the power saving mode to the power consumption mode and outputting an obtained second scene image as the target scene image when the received second pressure value is greater than or equal to the preset pressure threshold value.
Detailed Description
The following describes embodiments of the off-tracking big data detection system of the present invention in detail.
The treadmill has the following advantages: (1) many people like to listen to MP3 with earplugs while running and listen to music while running, which, although it may keep a pleasant mood, i want to be uncomfortable when a person runs on headphones after sweating. The treadmill is different, and most of the treadmills have the function of playing MP3 and sound equipment, so that the exerciser can run while listening to music without wearing earphones. Of course, this is just one advantage of the treadmill in that it provides little compared to outdoor running. (2) The former is superior to the latter in the point that outdoor running can exercise various parts of a person due to a complicated terrain, and a treadmill can only run straight. In the control of running speed, the person controls the running speed outdoors, and the person cannot clearly know the bearing capacity of each organ of the person, so that the person can be overtrained to hurt the body. This point just can fine control on the treadmill, and the function of detecting the rhythm of the heart is all mostly had on the treadmill, and the person taking exercise can judge the load condition of oneself health according to scientific data to increase and decrease running speed and time.
However, the prior art lacks an effective identification mode for the deviation condition of the person on the treadmill and a corresponding deviation corresponding mode, so that the personal safety of the person on the treadmill cannot be effectively and thoroughly protected.
In order to overcome the defects, the invention builds a big data detection method, which comprises the steps of providing a deviation big data detection system, adding a pressure detection device and an image acquisition processing device on a running machine, detecting various parameters on site, accurately identifying the condition that the horizontal direction of a sportsman is too deviation, providing emergency protection for the sportsman, and providing a protection scheme for the horizontal direction deviation of the sportsman by the deviation big data detection system.
The deviation big data detection system comprises:
the first pressure detector is arranged below the left side of the treadmill pedal and used for detecting the pressure sensed by the first pressure detector to obtain and output a first pressure value, wherein the position of the first pressure detector deviates from a preset treading area of the treadmill pedal, and the first pressure detector adopts a big data server to detect the pressure;
and the second pressure detector is arranged below the right side of the treadmill pedal and used for detecting the pressure sensed by the second pressure detector so as to obtain and output a second pressure value, wherein the position of the second pressure detector deviates from the preset treading area of the treadmill pedal.
Next, a detailed configuration of the off-tracking big data detecting system of the present invention will be further described.
In the off tracking big data detection system, the method further comprises:
the first shooting device is arranged on the left side of an instrument panel of the treadmill and is positioned on the same vertical plane with the first pressure detector, the vertical plane is not only vertical to the ground plane, but also vertical to the plane where the vertical support of the treadmill is positioned, and the first shooting device is used for carrying out left-side image acquisition on the left side of a treadmill pedal so as to obtain and output a first scene image;
the second shooting equipment is arranged on the right side of an instrument panel of the running machine and located on the same vertical plane with the second pressure detector, the vertical plane is parallel to the vertical plane where the first shooting equipment and the first pressure detector are located, and the second shooting equipment is used for collecting right-side images of the right side of a running machine pedal so as to obtain and output a second scene image.
In the off tracking big data detection system, the method further comprises:
the instrument panel control chip is respectively connected with the first pressure detector, the second pressure detector, the first shooting device and the second shooting device, and is used for switching the first shooting device from a power saving mode to a power consumption mode and outputting an obtained first scene image as a target scene image when the received first pressure value is greater than or equal to a preset pressure threshold value, and is also used for switching the second shooting device from the power saving mode to the power consumption mode and outputting an obtained second scene image as the target scene image when the received second pressure value is greater than or equal to the preset pressure threshold value;
the component data analysis equipment is connected with the instrument panel control chip and used for receiving the target scene image and executing the following analysis processing on each pixel point of the target scene image: obtaining hue components, brightness components and saturation components of each pixel point, judging whether the hue components of the pixel points are subjected to sharp change or not based on the hue components of the pixel points around each pixel point, marking the pixel points with hue sharp change symbols when the sharp change occurs, judging whether the brightness components of the pixel points are subjected to sharp change or not based on the brightness components of the pixel points around each pixel point, marking the pixel points with brightness sharp change symbols when the sharp change occurs, judging whether the saturation components of the pixel points are subjected to sharp change or not based on the saturation components of the pixel points around each pixel point, and marking the pixel points with saturation sharp change symbols when the sharp change occurs; the component data analysis equipment is also used for determining the problem pixel points of the target scene image when the pixel points which simultaneously mark the hue dramatic change symbol, the brightness dramatic change symbol and the saturation dramatic change symbol exist;
the contour recognition device is connected with the component data analysis device and used for receiving the target scene image without the problem pixel points, carrying out human body contour recognition on the target scene image without the problem pixel points, and sending a transverse swing transition signal when the coincidence degree of the target scene image without the problem pixel points and a preset human body reference contour is greater than or equal to a preset percentage threshold value, or sending a transverse state normal signal;
the telescopic support rod comprises two support rod bodies, the two support rod bodies are respectively arranged in the left bracket and the right bracket of the treadmill in a default state and are in a contracted state, and the two support rod bodies are both connected with the extension driving mechanism;
the extension driving mechanism is connected with the contour recognition equipment and used for controlling the two support rod bodies to be switched from a contraction state to an extension state when the transverse swing excessive signal is received so as to respectively extend horizontally from the left support and the right support of the running machine towards the direction of a running machine pedal and be used for providing support for a human body;
the component data analysis equipment is further used for determining that no problem pixel point exists in the target scene image when no pixel point simultaneously marking a hue dramatic change symbol, a brightness dramatic change symbol and a saturation dramatic change symbol exists.
In the off tracking big data detection system:
the stretching driving mechanism is also used for controlling the two supporting rod bodies to be switched to a shrinking state from a stretching state when the transverse state normal signal is received.
In the off tracking big data detection system:
the first photographing apparatus has a power consumption mode and a power saving mode, and a default mode of the first photographing apparatus is the power saving mode.
In the off tracking big data detection system:
the second photographing apparatus has a power consumption mode and a power saving mode, and a default mode of the second photographing apparatus is the power saving mode.
In the off tracking big data detection system:
the instrument panel control chip is further used for switching the first shooting device from a power consumption mode to a power saving mode when the received first pressure value is smaller than a preset pressure threshold value.
And, in the off tracking big data detection system:
the instrument panel control chip is further used for switching the second shooting device from a power consumption mode to a power saving mode when the received second pressure value is smaller than a preset pressure threshold value.
In addition, in the deviation big data detection system, the component data analysis device and the outline identification device are integrated in the same CPLD chip to be realized.
In the 20 th century 70 years, the earliest programmable logic devices, PLDs, were born from the history of CPLD development. The output structure of the logic macro-unit is programmable, because the hardware structure design can be completed by software (equivalent to manually designing a local indoor structure after a house is covered), the design has stronger flexibility than a pure hardware digital circuit, but the simple structure of the logic macro-unit only enables the circuit with smaller scale to be realized. To overcome the defect that PLDs can only design small-scale circuits, CPLDs (complex programmable logic devices) were introduced in the mid-80 of the 20 th century. The application is deeply applied to the aspects of networks, instruments and meters, automotive electronics, numerical control machines, aerospace measurement and control equipment and the like.
The CPLD chip has the following characteristics: the circuit design method has the characteristics of flexible programming, high integration level, short design and development period, wide application range, advanced development tool, low design and manufacturing cost, low requirement on hardware experience of designers, no need of testing of standard products, strong confidentiality, popular price and the like, and can realize large-scale circuit design, so that the circuit design method is widely applied to prototype design and product production (generally less than 10,000) of products. CPLD chips are used in almost all applications where small-scale, general-purpose digital integrated circuits are used. The CPLD chip has become an indispensable component of electronic products, and its design and application become a necessary skill for electronic engineers.
The off-tracking big data detection system is adopted to solve the technical problem that a treadmill in the prior art is lack of effective protection devices, whether pixel points with sharp hue, sharp brightness and sharp saturation exist or not is identified based on hue components, brightness components and saturation components of all pixel points of an image, so that high-precision analysis of image problems is realized, a detection mechanism of a left-right swinging state on the sportsman treadmill with linkage of a pressure detector, an image shooting device and an image identification device is established on the treadmill, the horizontal off-tracking condition of the sportsman is effectively detected, and meanwhile, under the condition that the horizontal direction of the sportsman is too off-tracked, a horizontal direction support rod with automatic control is introduced to provide emergency protection for the sportsman, so that the technical problem is solved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (6)
1. A big data detection method comprises providing a deviation big data detection system, adding a pressure detection device and an image acquisition processing device on a running machine, detecting various parameters on site, accurately identifying the situation that a sportsman is too deviated in the horizontal direction, and providing emergency protection for the sportsman, and is characterized in that the deviation big data detection system comprises:
the first pressure detector is arranged below the left side of the treadmill pedal and used for detecting the pressure sensed by the first pressure detector to obtain and output a first pressure value, wherein the position of the first pressure detector deviates from a preset treading area of the treadmill pedal, and the first pressure detector adopts a big data server to detect the pressure;
the second pressure detector is arranged below the right side of the treadmill pedal and used for detecting the pressure sensed by the second pressure detector so as to obtain and output a second pressure value, wherein the position of the second pressure detector deviates from the preset treading area of the treadmill pedal;
the first shooting device is arranged on the left side of an instrument panel of the treadmill and is positioned on the same vertical plane with the first pressure detector, the vertical plane is not only vertical to the ground plane, but also vertical to the plane where the vertical support of the treadmill is positioned, and the first shooting device is used for carrying out left-side image acquisition on the left side of a treadmill pedal so as to obtain and output a first scene image;
the second shooting device is arranged on the right side of an instrument panel of the running machine and is positioned on the same vertical plane with the second pressure detector, the vertical plane is parallel to the vertical plane where the first shooting device and the first pressure detector are located, and the second shooting device is used for acquiring right-side images of the right side of a running machine pedal to obtain and output a second scene image;
the instrument panel control chip is respectively connected with the first pressure detector, the second pressure detector, the first shooting device and the second shooting device, and is used for switching the first shooting device from a power saving mode to a power consumption mode and outputting an obtained first scene image as a target scene image when the received first pressure value is greater than or equal to a preset pressure threshold value, and is also used for switching the second shooting device from the power saving mode to the power consumption mode and outputting an obtained second scene image as the target scene image when the received second pressure value is greater than or equal to the preset pressure threshold value;
the component data analysis equipment is connected with the instrument panel control chip and used for receiving the target scene image and executing the following analysis processing on each pixel point of the target scene image: obtaining hue components, brightness components and saturation components of each pixel point, judging whether the hue components of the pixel points are subjected to sharp change or not based on the hue components of the pixel points around each pixel point, marking the pixel points with hue sharp change symbols when the sharp change occurs, judging whether the brightness components of the pixel points are subjected to sharp change or not based on the brightness components of the pixel points around each pixel point, marking the pixel points with brightness sharp change symbols when the sharp change occurs, judging whether the saturation components of the pixel points are subjected to sharp change or not based on the saturation components of the pixel points around each pixel point, and marking the pixel points with saturation sharp change symbols when the sharp change occurs; the component data analysis equipment is also used for determining the problem pixel points of the target scene image when the pixel points which simultaneously mark the hue dramatic change symbol, the brightness dramatic change symbol and the saturation dramatic change symbol exist;
the contour recognition device is connected with the component data analysis device and used for receiving the target scene image without the problem pixel points, carrying out human body contour recognition on the target scene image without the problem pixel points, and sending a transverse swing transition signal when the coincidence degree of the target scene image without the problem pixel points and a preset human body reference contour is greater than or equal to a preset percentage threshold value, or sending a transverse state normal signal;
the telescopic support rod comprises two support rod bodies, the two support rod bodies are respectively arranged in the left bracket and the right bracket of the treadmill in a default state and are in a contracted state, and the two support rod bodies are both connected with the extension driving mechanism;
the extension driving mechanism is connected with the contour recognition equipment and used for controlling the two support rod bodies to be switched from a contraction state to an extension state when the transverse swing excessive signal is received so as to respectively extend horizontally from the left support and the right support of the running machine towards the direction of a running machine pedal and be used for providing support for a human body;
the component data analysis equipment is further used for determining that no problem pixel point exists in the target scene image when no pixel point simultaneously marking a hue dramatic change symbol, a brightness dramatic change symbol and a saturation dramatic change symbol exists.
2. The method of claim 1, wherein:
the stretching driving mechanism is also used for controlling the two supporting rod bodies to be switched to a shrinking state from a stretching state when the transverse state normal signal is received.
3. The method of claim 2, wherein:
the first photographing apparatus has a power consumption mode and a power saving mode, and a default mode of the first photographing apparatus is the power saving mode.
4. The method of claim 3, wherein:
the second photographing apparatus has a power consumption mode and a power saving mode, and a default mode of the second photographing apparatus is the power saving mode.
5. The method of claim 4, wherein:
the instrument panel control chip is further used for switching the first shooting device from a power consumption mode to a power saving mode when the received first pressure value is smaller than a preset pressure threshold value.
6. The method of claim 5, wherein:
the instrument panel control chip is further used for switching the second shooting device from a power consumption mode to a power saving mode when the received second pressure value is smaller than a preset pressure threshold value.
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| WO2015108701A1 (en) * | 2014-01-14 | 2015-07-23 | Zsolutionz, LLC | Fuzzy logic-based evaluation and feedback of exercise performance |
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