CN109724983B - Refrigerator integrity analysis platform - Google Patents

Refrigerator integrity analysis platform Download PDF

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CN109724983B
CN109724983B CN201811347276.1A CN201811347276A CN109724983B CN 109724983 B CN109724983 B CN 109724983B CN 201811347276 A CN201811347276 A CN 201811347276A CN 109724983 B CN109724983 B CN 109724983B
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pixel
integrity analysis
freezer
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CN109724983A (en
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胡飞青
聂清辉
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Shaoxing Hezhong Machinery Manufacturing Co ltd
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Xinchang County Niukan Agricultural Development Co ltd
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Abstract

The invention relates to a refrigerator integrity analysis platform, which comprises: the refrigerator main structure comprises a compressor, a first condenser, a second condenser, a first heat exchanger, a second heat exchanger, a first evaporator and a second evaporator; the compressor is respectively connected with the first heat exchanger and the second condenser, the second heat exchanger is connected with the second evaporator, and the first heat exchanger is also respectively connected with the second condenser and the first condenser; the integrity analysis equipment is used for carrying out contour matching on the freezer objects in the reference pattern based on the standard freezer contour so as to send a freezer integrity instruction when the matching degree exceeds a preset percentage threshold value, and otherwise, send a freezer incomplete instruction; and the time division duplex communication equipment is connected with the integrity analysis equipment and is used for wirelessly sending the incomplete instruction of the refrigerator and the referential pattern to the mobile terminal of the refrigerator owner when receiving the incomplete instruction of the refrigerator. By the invention, the safe operation of the freezer can be effectively guaranteed.

Description

Refrigerator integrity analysis platform
Technical Field
The invention relates to the field of freezer equipment, in particular to a freezer integrity analysis platform.
Background
The power consumption of the refrigerator is divided into rated power consumption and actual power consumption. The rated power consumption is the power consumed by operating the refrigerator in a stable operation state (the average temperature of the refrigerating chamber is 5 ℃ and the highest temperature of the freezing chamber is 18 ℃) at the ambient temperature of 25 ℃. The actual power consumption refers to the power consumed by the refrigerator in actual use. The actual power consumption of the refrigerator is sometimes higher than the rated power consumption and sometimes lower than the rated power consumption, the actual power consumption is different with the environment of the refrigerator, the quantity of stored food is changed along with the temperature control in the refrigerator, the door opening times are increased, the more food is stored, the lower the temperature controlled in the refrigerator is, the more door opening times are increased, the longer the door opening time is each time, and the larger the power consumption of the refrigerator is. Conversely, the less power consumption.
Disclosure of Invention
In order to solve the technical problem that the existing freezer is incomplete due to various reasons and a possessor cannot timely know the existing freezer, the invention provides a freezer integrity analysis platform, the number of targets in unit area in an image is measured to obtain the target density of each unit area in the image, and the pattern of the unit area with the maximum target density in the image is used as a reference pattern, so that the data volume to be processed is reduced; obtaining each pixel value of each pixel point in a contrast processing image, dividing the maximum value of each pixel value by the minimum value of each pixel value to obtain a pixel value proportion, and continuously executing subsequent image sharpening action when the pixel value proportion is not exceeded; the method is particularly characterized in that a targeted image processing mechanism is adopted, the contour integrity of the refrigerator is accurately acquired, and when the refrigerator is judged to be incomplete, an incomplete refrigerator instruction and a field pattern are wirelessly sent to a mobile terminal of a refrigerator owner.
According to an aspect of the present invention, there is provided a ice bin integrity analysis platform, said platform comprising:
the refrigerator main structure comprises a compressor, a first condenser, a second condenser, a first heat exchanger, a second heat exchanger, a first evaporator and a second evaporator; in the ice chest main structure, the compressor respectively with first heat exchanger with the second condenser is connected, the second heat exchanger with the second evaporimeter is connected, first heat exchanger still respectively with the second condenser with first condenser is connected. The top imager is arranged above the freezer main structure and used for imaging the periphery of the freezer main structure to obtain a corresponding top imaging image; the signal filtering equipment is connected with the top imager and used for receiving the top imaging image, performing signal analysis on the top imaging image, performing corresponding filtering operation on the top imaging image based on an analysis result and obtaining a signal filtering image; the parameter processing equipment is connected with the signal filtering equipment and used for receiving the signal filtering image and executing contrast enhancement processing with preset intensity on the signal filtering image so as to obtain and output a corresponding parameter processing image; the change detection device is connected with the parameter processing device and used for receiving the parameter processing image, acquiring each pixel value of each pixel point in the parameter processing image, dividing the maximum value of each pixel value by the minimum value of each pixel value to obtain a pixel value proportion, and sending a command without sharpening when the pixel value proportion exceeds the limit, or sending a sharpening request command; the sharpening execution device is connected with the change detection device and is used for starting a real-time sharpening action on the parameter processing image when the sharpening request instruction is received so as to obtain a corresponding real-time sharpened image; the pattern extraction device is connected with the sharpening execution device and used for receiving the real-time sharpened image, measuring the number of targets in unit area in the real-time sharpened image to obtain the target density of each unit area in the real-time sharpened image, comparing the target density of each unit area, and taking the pattern of the unit area with the maximum target density in the real-time sharpened image as a reference pattern; the integrity analysis equipment is connected with the pattern extraction equipment and used for carrying out contour matching on the freezer objects in the reference patterns based on the standard freezer contour so as to send a freezer integrity instruction when the matching degree exceeds a preset percentage threshold value, and otherwise, send a freezer incomplete instruction; the time division duplex communication equipment is connected with the integrity analysis equipment and is used for wirelessly sending the refrigerator cabinet incomplete instruction and the referential pattern to a mobile terminal of a refrigerator cabinet owner when receiving the refrigerator cabinet incomplete instruction; wherein the pattern extraction device is a generic array logic device (GAL) device, and comprises a target mapping sub-device and a density processing sub-device; wherein, in the pattern extraction device, the smaller the number of targets per unit area, the smaller the target density per unit area.
More specifically, in the ice bin integrity analysis platform: the change detection device includes a pixel value extraction sub-device, a maximum pixel value detection sub-device, a minimum pixel value detection sub-device, a proportion calculation sub-device, and an instruction distribution sub-device.
More specifically, in the ice bin integrity analysis platform: and when the sharpening execution equipment receives the sharpening-free instruction, directly outputting the parameter processing image as a real-time sharpened image.
More specifically, in the ice chest integrity analysis platform, further comprising:
and the PSTN communication interface is connected with the image extraction equipment and used for receiving the reference pattern and sending the reference pattern.
More specifically, in the ice chest integrity analysis platform, further comprising:
and the EDO DRAM storage device is respectively connected with the integrity analysis device and the pattern extraction device and is used for storing the standard contour of the ice bin and the target density of each unit area in the real-time sharpened image.
More specifically, in the ice bin integrity analysis platform: the signal filtering apparatus includes a wavelet basis selection sub-apparatus for receiving a top imaged image, determining an average depth value of a target in the top imaged image, and selecting a wavelet basis function for performing wavelet filtering based on the average depth value.
More specifically, in the ice bin integrity analysis platform: the signal filtering device comprises a shape customization sub-device connected with the wavelet basis selection sub-device for determining a median filtering window shape for performing median filtering based on the average depth value.
More specifically, in the ice bin integrity analysis platform: the signal filtering device comprises a pixel matching sub-device which is connected with the wavelet base selection sub-device and used for judging the correlation degree grade between every two pixels in the top imaging image.
More specifically, in the ice bin integrity analysis platform: the signal filtering device comprises a self-adaptive processing sub-device which is respectively connected with the wavelet basis selection sub-device, the shape customization sub-device and the pixel matching sub-device, each pixel in the top imaging image is taken as a target pixel, a median filtering window with the target pixel as the center is determined based on the shape of the median filtering window, the mean value of pixel values of all pixels, of which the correlation degree level with the target pixel is greater than or equal to a preset level threshold value, in the median filtering window is taken as the filtered pixel value of the target pixel, a primary processing sub-device is obtained based on the filtered pixel values of all the target pixels, and the signal filtering device is further used for executing corresponding wavelet filtering processing on the primary processing sub-device based on the determined wavelet basis function so as to obtain and output a signal filtering image.
Detailed Description
An embodiment of the ice chest integrity analysis platform of the present invention will be described in detail below.
An ice chest is a mechanical device for storing food and other articles at a low temperature. Industrial refrigerators are suitable for use in industrial environments such as restaurants, food processing, and supermarkets.
When the ambient temperature rises, the heat dissipation of the freezer is slowed down, the temperature in the freezer is lowered slowly, the startup time is prolonged, and the power consumption is increased. Because the temperature difference between the inside and the outside of the refrigerator is large, the heat dissipation speed of the heat insulation layer of the refrigerator body is accelerated, more cold energy can be dissipated, the shutdown time is shortened, the response startup time is prolonged, and the power consumption is increased. For the analysis of the common refrigerator according to experimental data, when the environmental temperature reaches 32 ℃, the electricity consumption is about 2 times of that of 25 ℃, and when the environmental temperature reaches 30 ℃, the electricity consumption is about 1.6-1.8 times of that of 25 ℃.
In order to overcome the defects, the invention builds a freezer integrity analysis platform and can effectively solve the corresponding technical problems.
A freezer integrity analysis platform according to an embodiment of the present invention is shown comprising:
the refrigerator main structure comprises a compressor, a first condenser, a second condenser, a first heat exchanger, a second heat exchanger, a first evaporator and a second evaporator;
in the ice chest main structure, the compressor respectively with first heat exchanger with the second condenser is connected, the second heat exchanger with the second evaporimeter is connected, first heat exchanger still respectively with the second condenser with first condenser is connected.
The top imager is arranged above the freezer main structure and used for imaging the periphery of the freezer main structure to obtain a corresponding top imaging image;
the signal filtering equipment is connected with the top imager and used for receiving the top imaging image, performing signal analysis on the top imaging image, performing corresponding filtering operation on the top imaging image based on an analysis result and obtaining a signal filtering image;
the parameter processing equipment is connected with the signal filtering equipment and used for receiving the signal filtering image and executing contrast enhancement processing with preset intensity on the signal filtering image so as to obtain and output a corresponding parameter processing image;
the change detection device is connected with the parameter processing device and used for receiving the parameter processing image, acquiring each pixel value of each pixel point in the parameter processing image, dividing the maximum value of each pixel value by the minimum value of each pixel value to obtain a pixel value proportion, and sending a command without sharpening when the pixel value proportion exceeds the limit, or sending a sharpening request command;
the sharpening execution device is connected with the change detection device and is used for starting a real-time sharpening action on the parameter processing image when the sharpening request instruction is received so as to obtain a corresponding real-time sharpened image;
the pattern extraction device is connected with the sharpening execution device and used for receiving the real-time sharpened image, measuring the number of targets in unit area in the real-time sharpened image to obtain the target density of each unit area in the real-time sharpened image, comparing the target density of each unit area, and taking the pattern of the unit area with the maximum target density in the real-time sharpened image as a reference pattern;
the integrity analysis equipment is connected with the pattern extraction equipment and used for carrying out contour matching on the freezer objects in the reference patterns based on the standard freezer contour so as to send a freezer integrity instruction when the matching degree exceeds a preset percentage threshold value, and otherwise, send a freezer incomplete instruction;
the time division duplex communication equipment is connected with the integrity analysis equipment and is used for wirelessly sending the refrigerator cabinet incomplete instruction and the referential pattern to a mobile terminal of a refrigerator cabinet owner when receiving the refrigerator cabinet incomplete instruction;
wherein the pattern extraction device is a generic array logic device (GAL) device, and comprises a target mapping sub-device and a density processing sub-device;
wherein, in the pattern extraction device, the smaller the number of targets per unit area, the smaller the target density per unit area.
Next, the detailed structure of the ice chest integrity analysis platform of the present invention will be further described.
In the ice bin integrity analysis platform: the change detection device includes a pixel value extraction sub-device, a maximum pixel value detection sub-device, a minimum pixel value detection sub-device, a proportion calculation sub-device, and an instruction distribution sub-device.
In the ice bin integrity analysis platform: and when the sharpening execution equipment receives the sharpening-free instruction, directly outputting the parameter processing image as a real-time sharpened image.
In the ice chest integrity analysis platform, further comprising:
and the PSTN communication interface is connected with the image extraction equipment and used for receiving the reference pattern and sending the reference pattern.
In the ice chest integrity analysis platform, further comprising:
and the EDO DRAM storage device is respectively connected with the integrity analysis device and the pattern extraction device and is used for storing the standard contour of the ice bin and the target density of each unit area in the real-time sharpened image.
In the ice bin integrity analysis platform: the signal filtering apparatus includes a wavelet basis selection sub-apparatus for receiving a top imaged image, determining an average depth value of a target in the top imaged image, and selecting a wavelet basis function for performing wavelet filtering based on the average depth value.
In the ice bin integrity analysis platform: the signal filtering device comprises a shape customization sub-device connected with the wavelet basis selection sub-device for determining a median filtering window shape for performing median filtering based on the average depth value.
In the ice bin integrity analysis platform: the signal filtering device comprises a pixel matching sub-device which is connected with the wavelet base selection sub-device and used for judging the correlation degree grade between every two pixels in the top imaging image.
In the ice bin integrity analysis platform: the signal filtering device comprises a self-adaptive processing sub-device which is respectively connected with the wavelet basis selection sub-device, the shape customization sub-device and the pixel matching sub-device, each pixel in the top imaging image is taken as a target pixel, a median filtering window with the target pixel as the center is determined based on the shape of the median filtering window, the mean value of pixel values of all pixels, of which the correlation degree level with the target pixel is greater than or equal to a preset level threshold value, in the median filtering window is taken as the filtered pixel value of the target pixel, a primary processing sub-device is obtained based on the filtered pixel values of all the target pixels, and the signal filtering device is further used for executing corresponding wavelet filtering processing on the primary processing sub-device based on the determined wavelet basis function so as to obtain and output a signal filtering image.
In addition, in the PSTN communication interface, a PSTN (public Switched Telephone network) defines: the PSTN provides an analog private channel, and the channels are connected through a plurality of telephone switches. When two hosts or router devices need to be connected through PSTN, a Modem (Modem) must be used on the network access side (i.e., the user loop side) at both ends to implement analog-to-digital, digital-to-analog conversion of signals. From the perspective of the OSI seven-layer model, the PSTN can be viewed as a simple extension of the physical layer, without providing services such as flow control, error control, etc. to the user. Furthermore, since the PSTN is a circuit-switched approach, a path is set up until released, and its full bandwidth can only be used by devices at both ends of the path, even though there is no data to transfer between them. Therefore, this circuit-switched approach does not achieve full utilization of network bandwidth. An example of internetworking is over the PSTN, one of which is the internetworking of two local area networks connected by the PSTN. In the two local area networks, each router is provided with a serial port connected with a Modem, and the Modem is connected with a PSTN, thereby realizing the interconnection of the two local area networks.
By adopting the ice chest integrity analysis platform, aiming at the technical problem that an ice chest outline electronization detection mode is lacked in the prior art, the target density of each unit area in an image is obtained by measuring the target number of the unit area in the image, and the pattern of the unit area with the maximum target density in the image is taken as a reference pattern, so that the data volume to be processed is reduced; obtaining each pixel value of each pixel point in a contrast processing image, dividing the maximum value of each pixel value by the minimum value of each pixel value to obtain a pixel value proportion, and continuously executing subsequent image sharpening action when the pixel value proportion is not exceeded; particularly, a targeted image processing mechanism is adopted to accurately acquire the contour integrity of the refrigerator, and when the refrigerator is judged to be incomplete, an incomplete refrigerator instruction and a field pattern are wirelessly sent to a mobile terminal of a refrigerator owner; thereby solving the technical problem.
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 (9)

1. A freezer integrity analysis platform, the platform comprising:
the refrigerator main structure comprises a compressor, a first condenser, a second condenser, a first heat exchanger, a second heat exchanger, a first evaporator and a second evaporator;
in the ice bin main structure, the compressor is respectively connected with the first heat exchanger and the second condenser, the second heat exchanger is connected with the second evaporator, and the first heat exchanger is also respectively connected with the second condenser and the first condenser;
the top imager is arranged above the freezer main structure and used for imaging the periphery of the freezer main structure to obtain a corresponding top imaging image;
the signal filtering equipment is connected with the top imager and used for receiving the top imaging image, performing signal analysis on the top imaging image, performing corresponding filtering operation on the top imaging image based on an analysis result and obtaining a signal filtering image;
the parameter processing equipment is connected with the signal filtering equipment and used for receiving the signal filtering image and executing contrast enhancement processing with preset intensity on the signal filtering image so as to obtain and output a corresponding parameter processing image;
the change detection device is connected with the parameter processing device and used for receiving the parameter processing image, acquiring each pixel value of each pixel point in the parameter processing image, dividing the maximum value of each pixel value by the minimum value of each pixel value to obtain a pixel value proportion, and sending a command without sharpening when the pixel value proportion exceeds the limit, or sending a sharpening request command;
the sharpening execution device is connected with the change detection device and is used for starting a real-time sharpening action on the parameter processing image when the sharpening request instruction is received so as to obtain a corresponding real-time sharpened image;
the pattern extraction device is connected with the sharpening execution device and used for receiving the real-time sharpened image, measuring the number of targets in unit area in the real-time sharpened image to obtain the target density of each unit area in the real-time sharpened image, comparing the target density of each unit area, and taking the pattern of the unit area with the maximum target density in the real-time sharpened image as a reference pattern;
the integrity analysis equipment is connected with the pattern extraction equipment and used for carrying out contour matching on the freezer objects in the reference patterns based on the standard freezer contour so as to send a freezer integrity instruction when the matching degree exceeds a preset percentage threshold value, and otherwise, send a freezer incomplete instruction;
the time division duplex communication equipment is connected with the integrity analysis equipment and is used for wirelessly sending the refrigerator cabinet incomplete instruction and the referential pattern to a mobile terminal of a refrigerator cabinet owner when receiving the refrigerator cabinet incomplete instruction;
wherein the pattern extraction device is a generic array logic device (GAL) device, and comprises a target mapping sub-device and a density processing sub-device;
wherein, in the pattern extraction device, the smaller the number of targets per unit area, the smaller the target density per unit area.
2. The ice bin integrity analysis platform of claim 1, wherein:
the change detection device includes a pixel value extraction sub-device, a maximum pixel value detection sub-device, a minimum pixel value detection sub-device, a proportion calculation sub-device, and an instruction distribution sub-device.
3. The bin integrity analysis platform of claim 2, wherein:
and when the sharpening execution equipment receives the sharpening-free instruction, directly outputting the parameter processing image as a real-time sharpened image.
4. The ice bin integrity analysis platform of claim 3, further comprising:
and the PSTN communication interface is connected with the pattern extraction equipment and used for receiving the reference pattern and sending the reference pattern.
5. The ice bin integrity analysis platform of claim 4, further comprising:
and the EDO DRAM storage device is respectively connected with the integrity analysis device and the pattern extraction device and is used for storing the standard contour of the ice bin and the target density of each unit area in the real-time sharpened image.
6. The ice bin integrity analysis platform of claim 5, wherein:
the signal filtering apparatus includes a wavelet basis selection sub-apparatus for receiving a top imaged image, determining an average depth value of a target in the top imaged image, and selecting a wavelet basis function for performing wavelet filtering based on the average depth value.
7. The ice bin integrity analysis platform of claim 6, wherein:
the signal filtering device comprises a shape customization sub-device connected with the wavelet basis selection sub-device for determining a median filtering window shape for performing median filtering based on the average depth value.
8. The ice bin integrity analysis platform of claim 7, wherein:
the signal filtering device comprises a pixel matching sub-device which is connected with the wavelet base selection sub-device and used for judging the correlation degree grade between every two pixels in the top imaging image.
9. The ice bin integrity analysis platform of claim 8, wherein:
the signal filtering device comprises a self-adaptive processing sub-device which is respectively connected with the wavelet basis selection sub-device, the shape customization sub-device and the pixel matching sub-device, each pixel in the top imaging image is taken as a target pixel, a median filtering window with the target pixel as the center is determined based on the shape of the median filtering window, the mean value of pixel values of all pixels, of which the correlation degree level with the target pixel is greater than or equal to a preset level threshold value, in the median filtering window is taken as the filtered pixel value of the target pixel, a primary processing sub-device is obtained based on the filtered pixel values of all the target pixels, and the signal filtering device is further used for executing corresponding wavelet filtering processing on the primary processing sub-device based on the determined wavelet basis function so as to obtain and output a signal filtering image.
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