CN111881711B - Big data analysis-based signal amplitude selection system - Google Patents
Big data analysis-based signal amplitude selection system Download PDFInfo
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- CN111881711B CN111881711B CN202010394539.5A CN202010394539A CN111881711B CN 111881711 B CN111881711 B CN 111881711B CN 202010394539 A CN202010394539 A CN 202010394539A CN 111881711 B CN111881711 B CN 111881711B
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- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
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Abstract
The invention relates to a big data analysis-based signal amplitude selection system, which comprises: and the big data analysis equipment is used for extracting a suspicious head pattern with the same contour as the preset reference head sub-image from the smooth processed image based on the preset reference human head pattern, subtracting the suspicious head pattern from the preset reference human head pattern to obtain a difference image, calculating the number of pixels with nonzero pixel values in the difference image, and taking the human head target corresponding to the suspicious head pattern as an effective target when the number of nonzero pixels is greater than or equal to the preset pixel number threshold, or taking the human head target as an invalid target. The big data analysis-based signal amplitude selection system is wide in application and intelligent in operation. Because the playing amplitude of the sleep-aiding music signals in the house, which is in positive relation with the real-time quantity, is determined based on the real-time quantity analysis result of the head of the human body close to the window outside the house, the sleep-aiding effect of the related signals is ensured.
Description
Technical Field
The invention relates to the field of big data analysis, in particular to a signal amplitude selection system based on big data analysis.
Background
Big data analysis refers to the analysis of data on a huge scale. Big data can be summarized as 5V, large data Volume (Volume), fast speed (Velocity), multiple types (Variety), Value (Value), and authenticity (Veracity).
The utilization of data warehousing, data security, data analysis, data mining, etc. of big data, which follow around the business value of big data, is becoming the focus of profit for the pursuit of industry people. With the advent of the big data age, big data analysis also arose.
The three most basic aspects of big data analysis are specified below:
1. analytic Visualizations (visual analysis)
Data visualization is the most fundamental requirement of data analysis tools, whether for data analysis experts or for ordinary users. The data can be visually displayed, the data can speak by oneself, and audiences can hear results.
2. Data Mining Algorithm
Visualization is for people, and data mining is for machines. Clustering, segmentation and isolated point analysis have other algorithms to enable people to go deep into data and mine value. These algorithms are not only dealing with the volume of big data, but also the speed of big data.
3. Predictive analytical Capabilities
Data mining may allow analysts to better understand the data, while predictive analysis may allow analysts to make some predictive decisions based on the results of visual analysis and data mining.
There is currently room for exploiting the application of big data analysis, for example, in the construction and design of intelligent houses, big data analysis can be introduced to perform corresponding intelligent design.
Disclosure of Invention
The invention has at least the following two important points:
(1) determining the playing amplitude of the sleep-aiding music signals in the house which are in positive relation with the real-time quantity based on the real-time quantity analysis result of the head of the human body close to the window outside the house, thereby ensuring the sleep-aiding effect of the related signals;
(2) a big data analysis mechanism is introduced to carry out remote analysis on a complex data processing process, so that the budget amount and the load of local data processing are reduced.
According to an aspect of the present invention, there is provided a signal amplitude selection system based on big data analysis, the system comprising:
the content playing device is arranged in the house, is connected with the quantity extraction device and is used for determining the amplitude value of the sleep-aiding music played by the content playing device based on the received numerical value of the total number of the heads;
the real-time snapshot mechanism is arranged on the outer wall of the house close to the window of the house and used for executing real-time snapshot operation on the environment near the outer wall so as to obtain the image near the outer wall;
the box type filtering equipment is connected with the real-time snapshot mechanism and used for executing box type filtering processing on the received images near the outer wall so as to obtain and output corresponding box type filtering images;
the dynamic processing equipment is connected with the box type filtering equipment and is used for executing white balance processing based on a dynamic threshold value on the received box type filtering image so as to obtain and output a corresponding dynamic processing image;
the smoothing device is connected with the dynamic processing device and used for executing the blur processing without the scaling transformation on the received dynamic processing image so as to obtain and output a corresponding smoothing processing image;
the big data analysis device is connected with the smoothing device, extracts a suspicious head pattern with the same contour as the preset reference head sub-image from the smoothing image based on the preset reference human head pattern, subtracts the suspicious head pattern from the preset reference human head pattern to obtain a difference image, calculates the number of pixels with non-zero pixel values in the difference image, and takes a human head target corresponding to the suspicious head pattern as an effective target when the number of the non-zero pixels is greater than or equal to the preset pixel number threshold value, or else, takes the human head target as an ineffective target;
the quantity extraction device is connected with the big data analysis device and outputs the quantity of the human head targets serving as effective targets in the smooth processed image as the total head quantity;
wherein deciding the amplitude of the sleep-aid music played by the content playing apparatus based on the value of the total number of the heads comprises: the larger the value of the total number of the heads is, the larger the amplitude of the decided sleep-aid music played by the content playing apparatus is.
The big data analysis-based signal amplitude selection system is wide in application and intelligent in operation. Because the playing amplitude of the sleep-aiding music signals in the house, which is in positive relation with the real-time quantity, is determined based on the real-time quantity analysis result of the head of the human body close to the window outside the house, the sleep-aiding effect of the related signals is ensured.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic installation diagram of a real-time snapshot mechanism of a big data analysis-based signal amplitude selection system according to an embodiment of the present invention.
Detailed Description
An embodiment of the big data analysis based signal amplitude selection system of the present invention will be described in detail below with reference to the accompanying drawings.
The intelligent residence is a residence place which is based on a set of advanced and reliable network system, builds a network with residents and public facilities and realizes the computerized management of living facilities and service facilities of the residents and the community. The intelligent building system is composed of a plurality of intelligent buildings and aims to connect security, property, service and public facilities of communities through a highly integrated communication and computer network so as to realize intelligent and optimal management.
The intelligent house is to achieve safety precaution, information management and information network, namely the intelligent house is a product organically combining various home automation equipment, computers and network systems thereof with building technology and art, so that a resident can carry out home remote control management at any time and any place or contact with the outside.
The intelligent community consists of a plurality of intelligent buildings, and aims to connect security, property, service and public facilities of the community through highly integrated communication and computer networks to realize intelligent and optimized management, so that residents in the community can contact with community hospitals, schools, supermarkets, entertainment places and the like within 24 hours.
In the prior art, the playing amplitude of the sleep-aiding music signals inside the house, which is in a positive relation with the real-time quantity, cannot be determined based on the real-time quantity analysis result of the head of a human body close to a window outside the house, so that the sleep-aiding effect of related signals cannot be ensured.
In order to overcome the defects, the invention builds a signal amplitude selection system based on big data analysis, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic diagram illustrating an installation of a real-time snapshot mechanism of a big data analysis-based signal amplitude selection system according to an embodiment of the present invention, the system including:
the content playing device is arranged in the house, is connected with the quantity extraction device and is used for determining the amplitude value of the sleep-aiding music played by the content playing device based on the received numerical value of the total number of the heads;
the real-time snapshot mechanism is arranged on the outer wall of the house close to the window of the house and used for executing real-time snapshot operation on the environment near the outer wall so as to obtain the image near the outer wall;
the box type filtering equipment is connected with the real-time snapshot mechanism and used for executing box type filtering processing on the received images near the outer wall so as to obtain and output corresponding box type filtering images;
the dynamic processing equipment is connected with the box type filtering equipment and is used for executing white balance processing based on a dynamic threshold value on the received box type filtering image so as to obtain and output a corresponding dynamic processing image;
the smoothing device is connected with the dynamic processing device and used for executing the blur processing without the scaling transformation on the received dynamic processing image so as to obtain and output a corresponding smoothing processing image;
the big data analysis device is connected with the smoothing device, extracts a suspicious head pattern with the same contour as the preset reference head sub-image from the smoothing image based on the preset reference human head pattern, subtracts the suspicious head pattern from the preset reference human head pattern to obtain a difference image, calculates the number of pixels with non-zero pixel values in the difference image, and takes a human head target corresponding to the suspicious head pattern as an effective target when the number of the non-zero pixels is greater than or equal to the preset pixel number threshold value, or else, takes the human head target as an ineffective target;
the quantity extraction device is connected with the big data analysis device and outputs the quantity of the human head targets serving as effective targets in the smooth processed image as the total head quantity;
wherein deciding the amplitude of the sleep-aid music played by the content playing apparatus based on the value of the total number of the heads comprises: the larger the value of the total number of the heads is, the larger the amplitude of the decided sleep-aid music played by the content playing apparatus is.
Next, a detailed description of the specific structure of the big data analysis-based signal amplitude selection system of the present invention will be continued.
In the big data analysis-based signal amplitude selection system, the method further comprises:
the box type filtering device, the dynamic processing device and the smoothing device are arranged adjacently, and the distance from the dynamic processing device to the smoothing device is equal to the distance from the dynamic processing device to the box type filtering device.
In the big data analysis based signal amplitude selection system:
the dynamic processing equipment is internally provided with a signal input unit, a data processing unit and a signal output unit, wherein the data processing unit is respectively connected with the signal input unit and the signal output unit.
In the big data analysis based signal amplitude selection system:
in the dynamic processing apparatus, the signal input unit, the data processing unit, and the signal output unit share the same parallel data bus.
In the big data analysis-based signal amplitude selection system, the method further comprises:
and the LED display mechanism is connected with the box-type filtering equipment and is used for displaying various operating parameters of the box-type filtering equipment in real time.
In the big data analysis based signal amplitude selection system:
the LED display mechanism is composed of a plurality of LED display units and a microcontroller, and the microcontroller is respectively connected with the LED display units.
In the big data analysis based signal amplitude selection system:
the LED display units form an LED display array, and share the same row of data output interfaces and the same column of data output interfaces.
In the big data analysis based signal amplitude selection system:
the smoothing processing equipment is connected with a parameter configuration interface and used for receiving various parameter control commands sent by the parameter configuration interface.
In the big data analysis-based signal amplitude selection system, the method further comprises:
the voice receiving chip is arranged on the left side of the box type filtering equipment, connected with the box type filtering equipment and used for receiving a voice control signal input by a user and applied to the box type filtering equipment;
and the data conversion chip is connected with the voice receiving chip and used for carrying out voice content analysis on the received voice control signal so as to convert the voice control signal into a corresponding field control instruction.
In addition, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
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 (10)
1. A big data analysis based signal amplitude selection system, comprising:
the content playing device is arranged in the house, is connected with the quantity extraction device and is used for determining the amplitude value of the sleep-aiding music played by the content playing device based on the received numerical value of the total number of the heads;
the real-time snapshot mechanism is arranged on the outer wall of the house close to the window of the house and used for executing real-time snapshot operation on the environment near the outer wall so as to obtain the image near the outer wall;
the box type filtering equipment is connected with the real-time snapshot mechanism and used for executing box type filtering processing on the received images near the outer wall so as to obtain and output corresponding box type filtering images;
the dynamic processing equipment is connected with the box type filtering equipment and is used for executing white balance processing based on a dynamic threshold value on the received box type filtering image so as to obtain and output a corresponding dynamic processing image;
the smoothing device is connected with the dynamic processing device and used for executing the blur processing without the scaling transformation on the received dynamic processing image so as to obtain and output a corresponding smoothing processing image;
the big data analysis device is connected with the smoothing device, extracts a suspicious head pattern with the same outline as the preset reference head sub-pattern from the smoothing image based on the preset reference human head pattern, subtracts the suspicious head pattern and the preset reference human head pattern to obtain a difference image, calculates the number of pixels with non-zero pixel values in the difference image, and takes a human head target corresponding to the suspicious head pattern as an effective target when the number of the non-zero pixels is greater than or equal to a preset pixel number threshold value, or else, takes the human head target as an ineffective target;
the quantity extraction device is connected with the big data analysis device and outputs the quantity of the human head targets serving as effective targets in the smooth processed image as the total head quantity;
wherein deciding the amplitude of the sleep-aid music played by the content playing apparatus based on the value of the total number of the heads comprises: the larger the value of the total number of the heads is, the larger the amplitude of the decided sleep-aid music played by the content playing apparatus is.
2. The big-data-analysis-based signal amplitude selection system of claim 1, wherein:
the box type filtering device, the dynamic processing device and the smoothing device are arranged adjacently, and the distance from the dynamic processing device to the smoothing device is equal to the distance from the dynamic processing device to the box type filtering device.
3. The big-data-analysis-based signal amplitude selection system of claim 2, wherein:
the dynamic processing equipment is internally provided with a signal input unit, a data processing unit and a signal output unit, wherein the data processing unit is respectively connected with the signal input unit and the signal output unit.
4. The big-data-analysis-based signal amplitude selection system of claim 3, wherein:
in the dynamic processing apparatus, the signal input unit, the data processing unit, and the signal output unit share the same parallel data bus.
5. The big-data-analysis-based signal amplitude selection system of claim 4, further comprising:
and the LED display mechanism is connected with the box-type filtering equipment and is used for displaying various operating parameters of the box-type filtering equipment in real time.
6. The big-data-analysis-based signal amplitude selection system of claim 5, wherein:
the LED display mechanism is composed of a plurality of LED display units and a microcontroller, and the microcontroller is respectively connected with the LED display units.
7. The big-data-analysis-based signal amplitude selection system of claim 6, wherein:
the LED display units form an LED display array, and share the same row of data output interfaces and the same column of data output interfaces.
8. The big-data-analysis-based signal amplitude selection system of claim 7, wherein:
the smoothing processing equipment is connected with a parameter configuration interface and used for receiving various parameter control commands sent by the parameter configuration interface.
9. The big-data-analysis-based signal amplitude selection system of claim 8, further comprising:
the voice receiving chip is arranged on the left side of the box type filtering equipment, connected with the box type filtering equipment and used for receiving a voice control signal input by a user and applied to the box type filtering equipment;
and the data conversion chip is connected with the voice receiving chip and used for carrying out voice content analysis on the received voice control signal so as to convert the voice control signal into a corresponding field control instruction.
10. The big-data-analysis-based signal amplitude selection system of any of claims 1-9, wherein:
the big data analysis device is arranged at the far end of the house and is respectively connected with the quantity extraction device and the smoothing processing device through a network.
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| US3000000A (en) * | 1955-05-06 | 1961-09-12 | Gen Electric | Automatic reading system |
| CN106782501B (en) * | 2016-12-28 | 2020-07-24 | 百度在线网络技术（北京）有限公司 | Speech feature extraction method and device based on artificial intelligence |
| CN108170401A (en) * | 2018-02-26 | 2018-06-15 | 域通全球成都科技有限责任公司 | A kind of audio frequency broadcast system based on recognition of face |
| CN108629299B (en) * | 2018-04-24 | 2021-11-16 | 武汉幻视智能科技有限公司 | Long-time multi-target tracking method and system combining face matching |
| CN110807858A (en) * | 2018-08-03 | 2020-02-18 | 秦广民 | Supermarket entrance guard intelligent control method |
| CN110134233B (en) * | 2019-04-24 | 2022-07-12 | 福建联迪商用设备有限公司 | Intelligent sound box awakening method based on face recognition and terminal |
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