CN110763365A - Seat temperature cloud computing measurement method - Google Patents
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- CN110763365A CN110763365A CN201810849123.0A CN201810849123A CN110763365A CN 110763365 A CN110763365 A CN 110763365A CN 201810849123 A CN201810849123 A CN 201810849123A CN 110763365 A CN110763365 A CN 110763365A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Abstract
The invention relates to a seat temperature cloud computing measurement method, which comprises the following steps of using a seat temperature cloud computing measurement system for measurement, wherein the seat temperature cloud computing measurement system comprises: the speed measuring equipment is arranged on the roller coaster body and used for measuring the current running speed of the roller coaster body; the temperature measuring device array comprises a plurality of temperature measuring devices, each temperature measuring device is arranged on one seat of the roller coaster body and is used for measuring the instant temperature of the corresponding seat based on cloud computing; the temperature analysis equipment is respectively connected with the plurality of temperature measurement equipment and is used for receiving the instant temperatures of the plurality of seats, averaging the instant temperatures of the plurality of seats to obtain corresponding average temperatures, and sending an overhigh temperature signal when the average temperature exceeds the limit; and the vehicle body control motor is connected with the vehicle body of the roller coaster and used for controlling the vehicle body of the roller coaster.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a seat temperature cloud computing measurement method.
Background
Cloud computing services necessarily provide storage services in addition to computing services. Cloud computing services are currently monopolized in private institutions (enterprises) and they can only provide business credit. For government agencies, businesses (particularly businesses such as banks that hold sensitive data) to keep sufficient vigilance to select cloud computing services. Once business users use cloud computing services provided by private organizations on a large scale, no matter how strong technical advantages are, it is inevitable that these private organizations clamp the whole society with the importance of "data (information)". "information" is crucial to the information society. On the other hand, data in cloud computing is confidential to other users than the data owner, but is certainly not confidential to the business organization providing the cloud computing. All of these potential hazards are an important prerequisite to be considered when commercial and governmental agencies select cloud computing services, particularly those offered by foreign agencies.
Disclosure of Invention
In order to solve the technical problem of poor field data measurement effect, the invention provides a seat temperature cloud computing measurement method, which is used for measuring the instant temperature of a roller coaster seat based on cloud computing, improving the effectiveness of field temperature measurement, carrying out age detection and subsequent mean value processing on each human body in the roller coaster to obtain a human body age mean value, and determining a corresponding music style based on the human body age mean value to play corresponding music content, so that the music requirements of the most extensive people on the field are met as much as possible; and performing particle analysis on the image to be processed by adopting a traversal window with the size in direct proportion to the signal-to-noise ratio of the high-definition image to obtain particle low-pass patterns and non-particle low-pass patterns, and performing different differentiation processing on the particle low-pass patterns and the non-particle low-pass patterns to obtain a filtered image with a clearer filtering effect.
According to an aspect of the present invention, there is provided a seat temperature cloud computing measurement method comprising performing measurements using a seat temperature cloud computing measurement system comprising: the speed measuring equipment is arranged on the roller coaster body and used for measuring the current running speed of the roller coaster body and sending an overspeed control instruction when the measured speed exceeds a preset speed threshold; the temperature measuring device array comprises a plurality of temperature measuring devices, each temperature measuring device is arranged on one seat of the roller coaster body and is used for measuring the instant temperature of the corresponding seat based on cloud computing; the temperature analysis equipment is respectively connected with the plurality of temperature measurement equipment and is used for receiving the instant temperatures of the plurality of seats, averaging the instant temperatures of the plurality of seats to obtain corresponding average temperatures, and sending an overhigh temperature signal when the average temperature exceeds the limit; the roller coaster comprises a body control motor, a control unit and a control unit, wherein the body control motor is connected with a body of the roller coaster and is used for controlling the body of the roller coaster; the image capturing device is arranged at the top of the roller coaster body and used for capturing images facing to the interior scene of the roller coaster body so as to obtain a corresponding vehicle body scene image and outputting the vehicle body scene image; the image traversing device is connected with the image capturing device and used for receiving the vehicle body scene image, performing non-overlapping traversing on the vehicle body scene image by adopting smooth windows according to the sequence from left to right and from top to bottom to obtain corresponding traversing windows and outputting the traversing windows; the particle acquisition equipment is connected with the image traversal equipment and used for receiving the traversal windows and performing the following particle confirmation actions on the traversal windows: obtaining the mean value of the brightness values of the pixel points in each traversal window to serve as a window mean value, carrying out deviation degree analysis on the window mean value and the overall brightness of the vehicle body scene image, and determining the traversal window to be a particle block when the deviation degree exceeds the limit; the image dividing equipment is connected with the particle collecting equipment and used for forming particle patterns in the vehicle body scene image based on each particle block output by the particle collecting equipment, and taking the image of the vehicle body scene image after the particle patterns are stripped as non-particle patterns; a differentiation processing device connected to the image dividing device, for receiving the grain pattern and the non-grain pattern, performing a low-pass filtering process on the grain pattern using a preset frequency threshold as a cutoff frequency to obtain a grain low-pass pattern, and further performing a low-pass filtering process on the non-grain pattern using one-half of the preset frequency threshold as the cutoff frequency to obtain a non-grain low-pass pattern, and outputting the grain low-pass pattern and the non-grain low-pass pattern; the data fitting device is connected with the differentiation treatment device and used for receiving the particle low-pass pattern and the non-particle low-pass pattern and fitting the particle low-pass pattern and the non-particle low-pass pattern to obtain a fitting image corresponding to the vehicle body scene image; the age detection device is connected with the data fitting device and used for receiving the fitted image, acquiring a red channel value of each pixel point in the fitted image, determining pixel points of which the red channel values fall between an upper limit value of a human body red channel and a lower limit value of the human body red channel as human body regions, acquiring a plurality of human body regions in the fitted image, respectively determining the age corresponding to each human body region, and performing mean calculation on a plurality of ages respectively corresponding to the plurality of human body regions in the fitted image to acquire a corresponding mean value and output the mean value as a human body age mean value; the style switching equipment is connected with the age detection equipment and used for receiving the human age mean value, determining a corresponding music style based on the human age mean value and outputting the corresponding music style; and the music playing equipment is connected with the style switching equipment and is used for receiving the corresponding music style and playing the music content corresponding to the corresponding music style.
More specifically, in the seat temperature cloud computing measurement system: in the differentiation treatment device, performing a low-pass filtering treatment on the particle pattern using a preset frequency threshold as a cutoff frequency to obtain a particle low-pass pattern includes: and an image obtained by removing frequency components of the particle pattern, the frequency components being higher than or equal to the cutoff frequency, is used as the particle low-pass pattern, and the particle low-pass pattern is output.
More specifically, in the seat temperature cloud computing measurement system: in the differentiation treatment device, performing a low-pass filtering treatment on the non-particle pattern with half of a preset frequency threshold as a cutoff frequency to obtain a non-particle low-pass pattern includes: and an image obtained by removing frequency components of the non-particle pattern, the frequency components being higher than or equal to a cutoff frequency, is used as the particle non-low-pass pattern, and the particle non-low-pass pattern is output.
More specifically, in the seat temperature cloud computing measurement system: in the image traversal equipment, the traversal window is a square window, and the side length of the square window is in direct proportion to the signal-to-noise ratio of the vehicle body scene image.
More specifically, in the seat temperature cloud computing measurement system: in the particle collecting device, the overall brightness of the vehicle body scene image is obtained in the following mode: obtaining each brightness value of each pixel point of the vehicle body scene image, and averaging the brightness values of each pixel point of the vehicle body scene image to obtain the overall brightness of the vehicle body scene image.
More specifically, in the seat temperature cloud computing measurement system: in the particle collecting device, the overall brightness of the vehicle body scene image is obtained in the following mode: obtaining each brightness value of each pixel point of the vehicle body scene image, and averaging the brightness values of each pixel point of the vehicle body scene image to obtain the overall brightness of the vehicle body scene image.
More specifically, in the seat temperature cloud computing measurement system: in the particle collecting device, the overall brightness of the vehicle body scene image is obtained in the following mode: obtaining each brightness value of each pixel point of the vehicle body scene image, and averaging the brightness values of each pixel point of the vehicle body scene image to obtain the overall brightness of the vehicle body scene image.
More specifically, in the seat temperature cloud computing measurement system: the temperature analysis equipment is also used for sending a normal temperature signal when the average temperature is not over the limit.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a scene structure diagram of a roller coaster environment to which a seat temperature cloud computing measurement system is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The cloud computing is developed to the mature level at present through four stages, namely a power plant mode, utility computing, grid computing and cloud computing.
A power plant mode stage: the power plant mode is more convenient for users to use and does not need to maintain and purchase any power generation equipment than the scale effect of the power plant is utilized to reduce the price of the power.
And a utility calculation stage: around 1960, the price of computing devices was very high at that time, far from being affordable by ordinary businesses, schools, and institutions, and many people created the idea of sharing computing resources. In 1961, the father of artificial intelligence, McKent, proposed the concept of "utility computing" in a meeting, and its core was to use the power plant model, and specifically the objective was to integrate servers, storage systems and applications distributed throughout to share them to multiple users, so that users could use the computer resources like inserting light bulbs into light sockets and pay according to the amount of usage. However, since the whole IT industry is still in the early stage of development and many powerful technologies such as internet are not yet produced, although this idea is always called, the whole idea is called as "good as but not called".
A grid computing stage: grid computing studies how to divide a problem that requires very large computational power to solve into many small parts, then distribute these parts to many low-performance computers for processing, and finally synthesize the results of these calculations to overcome the big problem. Unfortunately, grid computing has not met with the expected success in the engineering and business industries due to its deficiencies in business models, technology, and security.
A cloud computing stage: the core of cloud computing is very similar to utility computing and grid computing, and IT is desirable that IT technology be as convenient and inexpensive as using electricity. But unlike utility and grid computing, 2014 has been scaled in demand and has also been substantially mature in technology.
In order to overcome the defects, the invention builds a seat temperature cloud computing measurement method which comprises the step of using a seat temperature cloud computing measurement system to carry out measurement. The seat temperature cloud computing measurement system can effectively solve corresponding technical problems.
Fig. 1 is a scene structure diagram of a roller coaster environment to which a seat temperature cloud computing measurement system is applied according to an embodiment of the present invention.
The seat temperature cloud computing measurement system shown according to the embodiment of the invention comprises:
the speed measuring equipment is arranged on the roller coaster body and used for measuring the current running speed of the roller coaster body and sending an overspeed control instruction when the measured speed exceeds a preset speed threshold;
the temperature measuring device array comprises a plurality of temperature measuring devices, each temperature measuring device is arranged on one seat of the roller coaster body and is used for measuring the instant temperature of the corresponding seat based on cloud computing;
the temperature analysis equipment is respectively connected with the plurality of temperature measurement equipment and is used for receiving the instant temperatures of the plurality of seats, averaging the instant temperatures of the plurality of seats to obtain corresponding average temperatures, and sending an overhigh temperature signal when the average temperature exceeds the limit;
the roller coaster comprises a body control motor, a control unit and a control unit, wherein the body control motor is connected with a body of the roller coaster and is used for controlling the body of the roller coaster;
the image capturing device is arranged at the top of the roller coaster body and used for capturing images facing to the interior scene of the roller coaster body so as to obtain a corresponding vehicle body scene image and outputting the vehicle body scene image;
the image traversing device is connected with the image capturing device and used for receiving the vehicle body scene image, performing non-overlapping traversing on the vehicle body scene image by adopting smooth windows according to the sequence from left to right and from top to bottom to obtain corresponding traversing windows and outputting the traversing windows;
the particle acquisition equipment is connected with the image traversal equipment and used for receiving the traversal windows and performing the following particle confirmation actions on the traversal windows: obtaining the mean value of the brightness values of the pixel points in each traversal window to serve as a window mean value, carrying out deviation degree analysis on the window mean value and the overall brightness of the vehicle body scene image, and determining the traversal window to be a particle block when the deviation degree exceeds the limit;
the image dividing equipment is connected with the particle collecting equipment and used for forming particle patterns in the vehicle body scene image based on each particle block output by the particle collecting equipment, and taking the image of the vehicle body scene image after the particle patterns are stripped as non-particle patterns;
a differentiation processing device connected to the image dividing device, for receiving the grain pattern and the non-grain pattern, performing a low-pass filtering process on the grain pattern using a preset frequency threshold as a cutoff frequency to obtain a grain low-pass pattern, and further performing a low-pass filtering process on the non-grain pattern using one-half of the preset frequency threshold as the cutoff frequency to obtain a non-grain low-pass pattern, and outputting the grain low-pass pattern and the non-grain low-pass pattern;
the data fitting device is connected with the differentiation treatment device and used for receiving the particle low-pass pattern and the non-particle low-pass pattern and fitting the particle low-pass pattern and the non-particle low-pass pattern to obtain a fitting image corresponding to the vehicle body scene image;
the age detection device is connected with the data fitting device and used for receiving the fitted image, acquiring a red channel value of each pixel point in the fitted image, determining pixel points of which the red channel values fall between an upper limit value of a human body red channel and a lower limit value of the human body red channel as human body regions, acquiring a plurality of human body regions in the fitted image, respectively determining the age corresponding to each human body region, and performing mean calculation on a plurality of ages respectively corresponding to the plurality of human body regions in the fitted image to acquire a corresponding mean value and output the mean value as a human body age mean value;
the style switching equipment is connected with the age detection equipment and used for receiving the human age mean value, determining a corresponding music style based on the human age mean value and outputting the corresponding music style;
and the music playing equipment is connected with the style switching equipment and is used for receiving the corresponding music style and playing the music content corresponding to the corresponding music style.
Next, a further description of a specific structure of the seat temperature cloud computing measurement system of the present invention will be continued.
In the seat temperature cloud computing measurement system: in the differentiation treatment device, performing a low-pass filtering treatment on the particle pattern using a preset frequency threshold as a cutoff frequency to obtain a particle low-pass pattern includes: and an image obtained by removing frequency components of the particle pattern, the frequency components being higher than or equal to the cutoff frequency, is used as the particle low-pass pattern, and the particle low-pass pattern is output.
In the seat temperature cloud computing measurement system: in the differentiation treatment device, performing a low-pass filtering treatment on the non-particle pattern with half of a preset frequency threshold as a cutoff frequency to obtain a non-particle low-pass pattern includes: and an image obtained by removing frequency components of the non-particle pattern, the frequency components being higher than or equal to a cutoff frequency, is used as the particle non-low-pass pattern, and the particle non-low-pass pattern is output.
In the seat temperature cloud computing measurement system: in the differentiation treatment device, performing a low-pass filtering treatment on the non-particle pattern with half of a preset frequency threshold as a cutoff frequency to obtain a non-particle low-pass pattern includes: and an image obtained by removing frequency components of the non-particle pattern, the frequency components being higher than or equal to a cutoff frequency, is used as the particle non-low-pass pattern, and the particle non-low-pass pattern is output.
In the seat temperature cloud computing measurement system: in the particle collecting device, the overall brightness of the vehicle body scene image is obtained in the following mode: obtaining each brightness value of each pixel point of the vehicle body scene image, and averaging the brightness values of each pixel point of the vehicle body scene image to obtain the overall brightness of the vehicle body scene image.
In the seat temperature cloud computing measurement system: and in the particle collection equipment, when the deviation degree is not exceeded, confirming that the traversal window is a non-particle block.
In the seat temperature cloud computing measurement system: and the speed measuring equipment is also used for sending a safe speed instruction when the measured speed does not exceed the preset speed threshold.
In the seat temperature cloud computing measurement system: the temperature analysis equipment is also used for sending a normal temperature signal when the average temperature is not over the limit.
In addition, in the seat temperature cloud computing measurement system, an optional GPU device is used to implement the differentiation processing device.
The GPU is different from a DSP (Digital Signal Processing) architecture in several major aspects. All its calculations use floating point arithmetic and there is no bit or integer arithmetic instruction at this time. Furthermore, since the GPU is designed specifically for image processing, the storage system is actually a two-dimensional, segmented storage space, including a segment number (from which the image is read) and a two-dimensional address (X, Y coordinates in the image). Furthermore, there is no indirect write instruction. The output write address is determined by the raster processor and cannot be changed by the program. This is a significant challenge for algorithms that are naturally distributed among the memories. Finally, no communication is allowed between the processes of different shards. In effect, the fragment processor is a SIMD data parallel execution unit, executing code independently in all fragments.
Despite the above constraints, the GPU can still efficiently perform a variety of operations, from linear algebraic sum signal processing to numerical simulation. While the concept is simple, new users are still confused when using GPU computations because the GPU requires proprietary graphics knowledge. In this case, some software tools may provide assistance. The two high-level shading languages CG and HLSL enable users to write C-like code and then compile it into a shard program assembly language. Brook is a high-level language designed specifically for GPU computing and does not require graphical knowledge. Therefore, it can be a good starting point for the worker who first uses the GPU for development. Brook is an extension of the C language, integrating a simple data-parallel programming construct that can be mapped directly to a GPU. Data stored and manipulated by the GPU is visually analogized to "streams" (streams), similar to the arrays in standard C. The Kernel is a function that operates on the stream. Calling a core function on a series of input streams means that an implicit loop is implemented on the stream elements, i.e. a core body is called for each stream element. Brook also provides reduction mechanisms, such as performing sum, maximum, or product calculations on all elements in a stream. Brook also completely hides all the details of the graphics API and virtualizes many user-unfamiliar parts of the GPU, like the two-dimensional memory system. Applications written in Brook include linear algebra subroutines, fast fourier transforms, ray tracing, and image processing. With the X800XT for ATI and the GeForce 6800Ultra type GPU for Nvidia, the speed of many such applications increased by as much as 7 times under the same cache, SSE assembly optimized Pentium 4 execution conditions.
By adopting the seat temperature cloud computing and measuring system, aiming at the technical problem that the field parameter measuring mode is backward in the prior art, the instant temperature of the roller coaster seat is measured based on cloud computing, the effectiveness of field temperature measurement is improved, the age detection and subsequent mean value processing are carried out on each human body in the roller coaster to obtain the human body age mean value, and the corresponding music style is determined based on the human body age mean value to play the corresponding music content, so that the music requirements of the most extensive people on the field are met as much as possible; and performing particle analysis on the image to be processed by adopting a traversal window with the size in direct proportion to the signal-to-noise ratio of the high-definition image to obtain particle low-pass patterns and non-particle low-pass patterns, and performing different differentiation processing on the particle low-pass patterns and the non-particle low-pass patterns to obtain a filtered image with a clearer filtering effect, 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 (8)
1. A seat temperature cloud computing measurement method comprising using a seat temperature cloud computing measurement system to make measurements, the seat temperature cloud computing measurement system comprising:
the speed measuring equipment is arranged on the roller coaster body and used for measuring the current running speed of the roller coaster body and sending an overspeed control instruction when the measured speed exceeds a preset speed threshold;
the temperature measuring device array comprises a plurality of temperature measuring devices, each temperature measuring device is arranged on one seat of the roller coaster body and is used for measuring the instant temperature of the corresponding seat based on cloud computing;
the temperature analysis equipment is respectively connected with the plurality of temperature measurement equipment and is used for receiving the instant temperatures of the plurality of seats, averaging the instant temperatures of the plurality of seats to obtain corresponding average temperatures, and sending an overhigh temperature signal when the average temperature exceeds the limit;
the roller coaster comprises a body control motor, a control unit and a control unit, wherein the body control motor is connected with a body of the roller coaster and is used for controlling the body of the roller coaster;
the image capturing device is arranged at the top of the roller coaster body and used for capturing images facing to the interior scene of the roller coaster body so as to obtain a corresponding vehicle body scene image and outputting the vehicle body scene image;
the image traversing device is connected with the image capturing device and used for receiving the vehicle body scene image, performing non-overlapping traversing on the vehicle body scene image by adopting smooth windows according to the sequence from left to right and from top to bottom to obtain corresponding traversing windows and outputting the traversing windows;
the particle acquisition equipment is connected with the image traversal equipment and used for receiving the traversal windows and performing the following particle confirmation actions on the traversal windows: obtaining the mean value of the brightness values of the pixel points in each traversal window to serve as a window mean value, carrying out deviation degree analysis on the window mean value and the overall brightness of the vehicle body scene image, and determining the traversal window to be a particle block when the deviation degree exceeds the limit;
the image dividing equipment is connected with the particle collecting equipment and used for forming particle patterns in the vehicle body scene image based on each particle block output by the particle collecting equipment, and taking the image of the vehicle body scene image after the particle patterns are stripped as non-particle patterns;
a differentiation processing device connected to the image dividing device, for receiving the grain pattern and the non-grain pattern, performing a low-pass filtering process on the grain pattern using a preset frequency threshold as a cutoff frequency to obtain a grain low-pass pattern, and further performing a low-pass filtering process on the non-grain pattern using one-half of the preset frequency threshold as the cutoff frequency to obtain a non-grain low-pass pattern, and outputting the grain low-pass pattern and the non-grain low-pass pattern;
the data fitting device is connected with the differentiation treatment device and used for receiving the particle low-pass pattern and the non-particle low-pass pattern and fitting the particle low-pass pattern and the non-particle low-pass pattern to obtain a fitting image corresponding to the vehicle body scene image;
the age detection device is connected with the data fitting device and used for receiving the fitted image, acquiring a red channel value of each pixel point in the fitted image, determining pixel points of which the red channel values fall between an upper limit value of a human body red channel and a lower limit value of the human body red channel as human body regions, acquiring a plurality of human body regions in the fitted image, respectively determining the age corresponding to each human body region, and performing mean calculation on a plurality of ages respectively corresponding to the plurality of human body regions in the fitted image to acquire a corresponding mean value and output the mean value as a human body age mean value;
the style switching equipment is connected with the age detection equipment and used for receiving the human age mean value, determining a corresponding music style based on the human age mean value and outputting the corresponding music style;
and the music playing equipment is connected with the style switching equipment and is used for receiving the corresponding music style and playing the music content corresponding to the corresponding music style.
2. The method of claim 1, wherein:
in the differentiation treatment device, performing a low-pass filtering treatment on the particle pattern using a preset frequency threshold as a cutoff frequency to obtain a particle low-pass pattern includes: and an image obtained by removing frequency components of the particle pattern, the frequency components being higher than or equal to the cutoff frequency, is used as the particle low-pass pattern, and the particle low-pass pattern is output.
3. The method of claim 2, wherein:
in the differentiation treatment device, performing a low-pass filtering treatment on the non-particle pattern with half of a preset frequency threshold as a cutoff frequency to obtain a non-particle low-pass pattern includes: and an image obtained by removing frequency components of the non-particle pattern, the frequency components being higher than or equal to a cutoff frequency, is used as the particle non-low-pass pattern, and the particle non-low-pass pattern is output.
4. The method of claim 3, wherein:
in the image traversal equipment, the traversal window is a square window, and the side length of the square window is in direct proportion to the signal-to-noise ratio of the vehicle body scene image.
5. The method of claim 4, wherein:
in the particle collecting device, the overall brightness of the vehicle body scene image is obtained in the following mode: obtaining each brightness value of each pixel point of the vehicle body scene image, and averaging the brightness values of each pixel point of the vehicle body scene image to obtain the overall brightness of the vehicle body scene image.
6. The method of claim 5, wherein:
and in the particle collection equipment, when the deviation degree is not exceeded, confirming that the traversal window is a non-particle block.
7. The method of claim 6, wherein:
and the speed measuring equipment is also used for sending a safe speed instruction when the measured speed does not exceed the preset speed threshold.
8. The method of any of claims 1-7, wherein:
the temperature analysis equipment is also used for sending a normal temperature signal when the average temperature is not over the limit.
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| CN113642526A (en) * | 2021-09-03 | 2021-11-12 | 江阴市浩华新型复合材料有限公司 | Picture processing system and method based on computer control |
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