CN109556347B - Article filling alarm system - Google Patents
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- CN109556347B CN109556347B CN201811447486.8A CN201811447486A CN109556347B CN 109556347 B CN109556347 B CN 109556347B CN 201811447486 A CN201811447486 A CN 201811447486A CN 109556347 B CN109556347 B CN 109556347B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/008—Alarm devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/005—Mounting of control devices
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- Computer Vision & Pattern Recognition (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
- Image Processing (AREA)
Abstract
The invention relates to an article filling alarm system, comprising: the temperature control structure is arranged in the rear wall of the refrigerator and comprises a refrigeration evaporator, a refrigeration capillary tube, a refrigeration electromagnetic valve, a temperature-changing evaporator, a temperature-changing capillary tube, a temperature-changing electromagnetic valve, a freezing evaporator, a freezing electromagnetic valve, a freezing capillary tube, a liquid collector, a junction station, a compressor, a flow divider, a filter, a condensation tube and a dew removing tube, wherein the condensation tube is connected with the filter; and the voice alarm equipment is used for playing the voice alarm file corresponding to the overflow control instruction when receiving the overflow control instruction, and playing the voice alarm file corresponding to the humidity standard exceeding instruction when receiving the humidity standard exceeding instruction. The invention can avoid the condition that the articles in the freezing chamber are excessively filled.
Description
Technical Field
The invention relates to the field of monitoring of a freezing chamber, in particular to an article filling alarm system.
Background
The refrigeration principle of the refrigerator is as follows: low-temperature low-pressure refrigerant gas → compressor → high-temperature high-pressure liquefied liquid refrigerant → heat released from the surface of the radiator refrigerator → low-temperature high-pressure liquid refrigerant → capillary tube → copper tube of evaporator in the refrigerator wound around the inner wall of the refrigerator is gasified, that is, absorbs heat → temperature in the refrigerator drops → low-temperature low-pressure gasified refrigerant → compressor, thus the heat in the refrigerator is carried out with the refrigerant as the price.
Disclosure of Invention
The invention provides an article filling alarm system, aiming at solving the technical problem that the filling articles in a freezing chamber exceed the limit in the prior art.
Therefore, the invention needs to have the following three key points:
(1) identifying a reference image block rich in image data by means of the distribution characteristics of the magenta components of the pixel points in the image; (2) obtaining a smooth object edge curve through curve adjustment, and meanwhile, calculating the mean value of each amplitude value of each noise of the adjusted image so as to select corresponding Gaussian filtering execution times based on the calculation result; (3) and judging the article filling condition in the freezing chamber by adopting an image recognition mechanism, and timely carrying out corresponding voice alarm when the article is excessively filled.
According to an aspect of the present invention there is provided an item fill alarm system, the system comprising:
the temperature control structure is arranged in the rear wall of the refrigerator and comprises a refrigeration evaporator, a refrigeration capillary tube, a refrigeration electromagnetic valve, a variable temperature evaporator, a variable temperature capillary tube, a variable temperature electromagnetic valve, a freezing evaporator, a freezing electromagnetic valve, a freezing capillary tube, a liquid collector, a junction station, a compressor, a flow divider, a filter, a condensation tube and a dew removing tube.
More specifically, in the item-fill warning system: the compressor is respectively connected with the confluence device and the dew removing pipe, the dew removing pipe is connected with the condensing pipe, and the condensing pipe is connected with the filter.
More specifically, in the item-fill warning system: the confluence device is respectively connected with the liquid confluence device, the variable temperature evaporator, the refrigeration evaporator and the compressor, and the liquid confluence device is connected with the refrigeration evaporator.
More specifically, in the item-fill warning system: the refrigeration electromagnetic valve is respectively connected with the refrigeration capillary and the flow divider, the variable-temperature electromagnetic valve is respectively connected with the variable-temperature capillary and the flow divider, and the freezing electromagnetic valve is respectively connected with the freezing capillary and the flow divider.
More specifically, in the article-filling alarm system, further comprising:
the humidity sensing equipment is arranged in a freezing chamber of the refrigerator and used for sensing the humidity in the freezing chamber to obtain the indoor real-time temperature and sending a humidity standard exceeding instruction when the indoor real-time temperature exceeds a preset humidity threshold value; the refrigeration evaporator is connected with the refrigeration capillary, the variable temperature evaporator is connected with the variable temperature capillary, and the freezing evaporator is connected with the freezing capillary; the semi-spherical shooting equipment is arranged in a freezing chamber of the refrigerator and is used for shooting the environment in the freezing chamber to obtain a corresponding image in the freezing chamber; the signal-to-noise ratio processing device is connected with the hemispherical shooting device and used for receiving the internal image of the freezing chamber and performing signal-to-noise ratio analysis on the internal image of the freezing chamber so as to realize filtering processing on the internal image of the freezing chamber based on an analysis result to obtain a corresponding follow-up processing image; the field adjustment equipment is connected with the signal-to-noise ratio processing equipment and used for receiving the following processing image and respectively executing curve adjustment on each edge curve of each target in the following processing image so as to reduce a protruding part with curvature exceeding a limited amount on each edge curve and obtain a corresponding field adjustment image; the signal analysis equipment is connected with the field adjustment equipment and is used for analyzing each amplitude value of each noise in the field adjustment image and calculating the mean value of each amplitude value of each noise to obtain the corresponding noise mean value; the selective processing device is connected with the signal analysis device and used for determining the times of performing Gaussian filtering on the field adjustment image based on the noise mean value so as to output a multi-time filtering image; the standard deviation identification device is connected with the selective processing device and used for receiving the multiple filtered images, calculating the standard deviation of the magenta component of each row of pixel points based on the magenta component of each pixel point in the multiple filtered images, taking the row with the standard deviation of the magenta component being greater than or equal to a row standard deviation threshold value as an effective row, calculating the standard deviation of the magenta component of each column of pixel points based on the magenta component of each pixel point in the multiple filtered images, and taking the column with the standard deviation of the magenta component being greater than or equal to a column standard deviation threshold value as an effective column; the row-column combination device is connected with the standard deviation identification device and is used for receiving a plurality of effective rows and a plurality of effective columns and taking the image block with the largest number of effective rows or the largest number of effective columns as a reference image block; the area detection equipment is connected with the row-column combination equipment and used for carrying out object identification on the reference image blocks to obtain each area occupied by each object in the reference image blocks, and sending an overflow control instruction when the sum of each area exceeds the limit, or sending a storage normal instruction; the voice alarm equipment is respectively connected with the humidity sensing equipment and the area detection equipment and is used for playing a voice alarm file corresponding to the overflow control instruction when the overflow control instruction is received and playing a voice alarm file corresponding to the humidity standard exceeding instruction when the humidity standard exceeding instruction is received; wherein, taking the image block with the most number of effective rows or the most number of effective columns as the reference image block comprises: and when the same pixel points exist in a certain effective line and a certain image block, determining that the image block comprises the effective line.
More specifically, in the item-fill warning system: in the row-column combination device, taking the image partition including the largest number of effective rows or the largest number of effective columns as a reference image partition includes: and blocking the multi-time filtering image to obtain a plurality of image blocks with the same size.
More specifically, in the item-fill warning system: the step of using the image block with the most number of effective rows or the most number of effective columns as the reference image block comprises the following steps: and when the same pixel point exists between a certain effective column and a certain image block, determining that the image block comprises the effective column.
More specifically, in the item-fill warning system: in the selective processing device, the larger the noise mean value is, the more times of performing gaussian filtering on the field adjustment image is determined; the field adjustment device further comprises an edge detection unit and a curvature calculation unit, wherein the edge detection unit is used for detecting each edge curve of each target in the follow-up processing image.
More specifically, in the item-fill warning system: the signal-to-noise ratio processing device comprises a parameter extraction sub-device which is used for receiving the freezing chamber internal image, determining the signal-to-noise ratio of each object area in the freezing chamber internal image, and determining the current signal-to-noise ratio of the whole freezing chamber internal image based on the signal-to-noise ratios of the object areas in the freezing chamber internal image.
More specifically, in the item-fill warning system: the signal-to-noise ratio processing device comprises a following processing sub-device which is connected with the parameter extraction sub-device and used for executing wiener filtering processing with corresponding strength on the internal image of the freezing chamber based on the received current signal-to-noise ratio to obtain and output a wiener filtering image when the received current signal-to-noise ratio is greater than or equal to a preset proportion threshold value, and executing homomorphic filtering processing with corresponding strength on the wiener filtering image based on the received current signal-to-noise ratio to obtain and output a following processing image; and the following processing sub-equipment is further used for sequentially executing wiener filtering processing with first fixed intensity and homomorphic filtering processing with second fixed intensity on the image in the freezing chamber when the received current signal-to-noise ratio is smaller than a preset proportion threshold value so as to obtain and output a following processing image.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a configuration view showing an external appearance of an insulation structure of an article-filling alarm system according to an embodiment of the present invention.
Detailed Description
Embodiments of the item-fill-alarm system of the present invention will be described in detail below with reference to the accompanying drawings.
The refrigerator generally includes a cabinet, a refrigeration system, and an electrical system. The refrigerator basically functions to refrigerate and maintain a proper low temperature in the refrigerator. The refrigeration system generally consists of four basic components, namely a compressor, a condenser, a capillary tube or a thermal expansion valve and an evaporator. The refrigerant is a liquid which can be boiled at low temperature under low pressure, absorbs heat when boiling, the refrigerant continuously circulates in a refrigerating system, a compressor increases the gas pressure of the refrigerant to cause liquefaction conditions, the refrigerant condenses and liquefies to release heat when passing through a condenser, then reduces the pressure and temperature when passing through a capillary tube, and then boils and vaporizes to absorb heat when passing through an evaporator.
The refrigerator originally uses F12 (Freon 12) as refrigerant, and because the refrigerant can destroy the ozone layer of the atmospheric layer, the refrigerant such as R600a/R134a/R404 is used instead. In addition, dry filters are typically installed at the capillary inlet end because of the inevitable presence of some moisture and impurities in the system. The refrigerator uses electricity as main energy source, and uses motor to drive compressor or refrigeration diode, and is generally equipped with relay protector and temp. controller.
The refrigerator motor using the compressor is classified into a resistance split-phase starting type, a capacitance starting type and a capacitance starting and capacitance running type according to different starting methods. The motor of the totally-enclosed compressor is arranged in the refrigerating system, is contacted with refrigerant and refrigerating machine oil for a long time, and bears pressure, high temperature and the like, so the totally-enclosed compressor has the requirements of refrigerant and refrigerating machine oil resistance, stable electrical performance, high temperature resistance, vibration and impact resistance, larger starting torque, cleanness and no water and the like.
The case is composed of a structural material and a heat insulating material, and forms a space to store food and prevent heat transfer from the inside and outside. The box body generally comprises an outer box, an inner container and a heat insulating layer. The inner container (lining) of refrigerator is made of ABS or HIPS plate through vacuum forming, and has thickness below 1 mm, white color and smooth surface. The heat insulating material is widely used polyurethane foam, has excellent heat insulating performance and has small change of heat conductivity coefficient after long-term use.
In order to overcome the defects, the invention builds an article filling alarm system, and can effectively solve the corresponding technical problem.
An article fill alarm system according to an embodiment of the present invention includes:
the heat insulation structure is arranged on the inner side of a cabinet door of the refrigerator as shown in figure 1 and is used for providing heat insulation operation for the cabinet door;
the temperature control structure is arranged in the rear wall of the refrigerator and comprises a refrigeration evaporator, a refrigeration capillary tube, a refrigeration electromagnetic valve, a variable temperature evaporator, a variable temperature capillary tube, a variable temperature electromagnetic valve, a freezing evaporator, a freezing electromagnetic valve, a freezing capillary tube, a liquid collector, a junction station, a compressor, a flow divider, a filter, a condensation tube and a dew removing tube.
Next, the detailed structure of the article-filling alarm system of the present invention will be further described.
In the item-fill warning system: the compressor is respectively connected with the confluence device and the dew removing pipe, the dew removing pipe is connected with the condensing pipe, and the condensing pipe is connected with the filter.
In the item-fill warning system: the confluence device is respectively connected with the liquid confluence device, the variable temperature evaporator, the refrigeration evaporator and the compressor, and the liquid confluence device is connected with the refrigeration evaporator.
In the item-fill warning system: the refrigeration electromagnetic valve is respectively connected with the refrigeration capillary and the flow divider, the variable-temperature electromagnetic valve is respectively connected with the variable-temperature capillary and the flow divider, and the freezing electromagnetic valve is respectively connected with the freezing capillary and the flow divider.
In the item-filling alarm system, further comprising:
the humidity sensing equipment is arranged in a freezing chamber of the refrigerator and used for sensing the humidity in the freezing chamber to obtain the indoor real-time temperature and sending a humidity standard exceeding instruction when the indoor real-time temperature exceeds a preset humidity threshold value;
the refrigeration evaporator is connected with the refrigeration capillary, the variable temperature evaporator is connected with the variable temperature capillary, and the freezing evaporator is connected with the freezing capillary;
the semi-spherical shooting equipment is arranged in a freezing chamber of the refrigerator and is used for shooting the environment in the freezing chamber to obtain a corresponding image in the freezing chamber;
the signal-to-noise ratio processing device is connected with the hemispherical shooting device and used for receiving the internal image of the freezing chamber and performing signal-to-noise ratio analysis on the internal image of the freezing chamber so as to realize filtering processing on the internal image of the freezing chamber based on an analysis result to obtain a corresponding follow-up processing image;
the field adjustment equipment is connected with the signal-to-noise ratio processing equipment and used for receiving the following processing image and respectively executing curve adjustment on each edge curve of each target in the following processing image so as to reduce a protruding part with curvature exceeding a limited amount on each edge curve and obtain a corresponding field adjustment image;
the signal analysis equipment is connected with the field adjustment equipment and is used for analyzing each amplitude value of each noise in the field adjustment image and calculating the mean value of each amplitude value of each noise to obtain the corresponding noise mean value;
the selective processing device is connected with the signal analysis device and used for determining the times of performing Gaussian filtering on the field adjustment image based on the noise mean value so as to output a multi-time filtering image;
the standard deviation identification device is connected with the selective processing device and used for receiving the multiple filtered images, calculating the standard deviation of the magenta component of each row of pixel points based on the magenta component of each pixel point in the multiple filtered images, taking the row with the standard deviation of the magenta component being greater than or equal to a row standard deviation threshold value as an effective row, calculating the standard deviation of the magenta component of each column of pixel points based on the magenta component of each pixel point in the multiple filtered images, and taking the column with the standard deviation of the magenta component being greater than or equal to a column standard deviation threshold value as an effective column;
the row-column combination device is connected with the standard deviation identification device and is used for receiving a plurality of effective rows and a plurality of effective columns and taking the image block with the largest number of effective rows or the largest number of effective columns as a reference image block;
the area detection equipment is connected with the row-column combination equipment and used for carrying out object identification on the reference image blocks to obtain each area occupied by each object in the reference image blocks, and sending an overflow control instruction when the sum of each area exceeds the limit, or sending a storage normal instruction;
the voice alarm equipment is respectively connected with the humidity sensing equipment and the area detection equipment and is used for playing a voice alarm file corresponding to the overflow control instruction when the overflow control instruction is received and playing a voice alarm file corresponding to the humidity standard exceeding instruction when the humidity standard exceeding instruction is received;
wherein, taking the image block with the most number of effective rows or the most number of effective columns as the reference image block comprises: and when the same pixel points exist in a certain effective line and a certain image block, determining that the image block comprises the effective line.
In the item-fill warning system: in the row-column combination device, taking the image partition including the largest number of effective rows or the largest number of effective columns as a reference image partition includes: and blocking the multi-time filtering image to obtain a plurality of image blocks with the same size.
In the item-fill warning system: the step of using the image block with the most number of effective rows or the most number of effective columns as the reference image block comprises the following steps: and when the same pixel point exists between a certain effective column and a certain image block, determining that the image block comprises the effective column.
In the item-fill warning system: in the selective processing device, the larger the noise mean value is, the more times of performing gaussian filtering on the field adjustment image is determined;
the field adjustment device further comprises an edge detection unit and a curvature calculation unit, wherein the edge detection unit is used for detecting each edge curve of each target in the follow-up processing image.
In the item-fill warning system: the signal-to-noise ratio processing device comprises a parameter extraction sub-device which is used for receiving the freezing chamber internal image, determining the signal-to-noise ratio of each object area in the freezing chamber internal image, and determining the current signal-to-noise ratio of the whole freezing chamber internal image based on the signal-to-noise ratios of the object areas in the freezing chamber internal image.
In the item-fill warning system: the signal-to-noise ratio processing device comprises a following processing sub-device which is connected with the parameter extraction sub-device and used for executing wiener filtering processing with corresponding strength on the internal image of the freezing chamber based on the received current signal-to-noise ratio to obtain and output a wiener filtering image when the received current signal-to-noise ratio is greater than or equal to a preset proportion threshold value, and executing homomorphic filtering processing with corresponding strength on the wiener filtering image based on the received current signal-to-noise ratio to obtain and output a following processing image;
and the following processing sub-equipment is further used for sequentially executing wiener filtering processing with first fixed intensity and homomorphic filtering processing with second fixed intensity on the image in the freezing chamber when the received current signal-to-noise ratio is smaller than a preset proportion threshold value so as to obtain and output a following processing image.
Further, in the item-filling alarm system: the area detection device is implemented using a GPU chip.
The GPU chip 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 article filling alarm system, aiming at the technical problem that the freezing effect cannot be ensured due to too much filling of articles to be frozen in the freezing chamber in the prior art, the reference image blocks rich in image data are identified by means of the distribution characteristics of magenta components of pixel points in the image; obtaining a smooth object edge curve through curve adjustment, and meanwhile, calculating the mean value of each amplitude value of each noise of the adjusted image so as to select corresponding Gaussian filtering execution times based on the calculation result; more importantly, an image recognition mechanism is adopted to judge the article filling condition in the freezing chamber, and corresponding voice alarm is carried out in time when the article is excessively filled; 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 (6)
1. An item fill alarm system, the system comprising:
the temperature control structure is arranged in the rear wall of the refrigerator and comprises a refrigeration evaporator, a refrigeration capillary tube, a refrigeration electromagnetic valve, a variable temperature evaporator, a variable temperature capillary tube, a variable temperature electromagnetic valve, a freezing evaporator, a freezing electromagnetic valve, a freezing capillary tube, a liquid collector, a junction station, a compressor, a flow divider, a filter, a condensation tube and a dew removing tube;
the compressor is respectively connected with the confluence device and the dew removing pipe, the dew removing pipe is connected with the condensing pipe, and the condensing pipe is connected with the filter;
the confluence device is respectively connected with the liquid confluence device, the variable temperature evaporator, the refrigeration evaporator and the compressor, and the liquid confluence device is connected with the refrigeration evaporator;
the refrigeration electromagnetic valve is respectively connected with the refrigeration capillary and the flow divider, the temperature-changing electromagnetic valve is respectively connected with the temperature-changing capillary and the flow divider, and the freezing electromagnetic valve is respectively connected with the freezing capillary and the flow divider;
the humidity sensing equipment is arranged in a freezing chamber of the refrigerator and used for sensing the humidity in the freezing chamber to obtain the indoor real-time temperature and sending a humidity standard exceeding instruction when the indoor real-time temperature exceeds a preset humidity threshold value;
the refrigeration evaporator is connected with the refrigeration capillary, the variable temperature evaporator is connected with the variable temperature capillary, and the freezing evaporator is connected with the freezing capillary;
the semi-spherical shooting equipment is arranged in a freezing chamber of the refrigerator and is used for shooting the environment in the freezing chamber to obtain a corresponding image in the freezing chamber;
the signal-to-noise ratio processing device is connected with the hemispherical shooting device and used for receiving the internal image of the freezing chamber and performing signal-to-noise ratio analysis on the internal image of the freezing chamber so as to realize filtering processing on the internal image of the freezing chamber based on an analysis result to obtain a corresponding follow-up processing image;
the field adjustment equipment is connected with the signal-to-noise ratio processing equipment and used for receiving the following processing image and respectively executing curve adjustment on each edge curve of each target in the following processing image so as to reduce a protruding part with curvature exceeding a limited amount on each edge curve and obtain a corresponding field adjustment image;
the signal analysis equipment is connected with the field adjustment equipment and is used for analyzing each amplitude value of each noise in the field adjustment image and calculating the mean value of each amplitude value of each noise to obtain the corresponding noise mean value;
the selective processing device is connected with the signal analysis device and used for determining the times of performing Gaussian filtering on the field adjustment image based on the noise mean value so as to output a multi-time filtering image;
the standard deviation identification device is connected with the selective processing device and used for receiving the multiple filtered images, calculating the standard deviation of the magenta component of each row of pixel points based on the magenta component of each pixel point in the multiple filtered images, taking the row with the standard deviation of the magenta component being greater than or equal to a row standard deviation threshold value as an effective row, calculating the standard deviation of the magenta component of each column of pixel points based on the magenta component of each pixel point in the multiple filtered images, and taking the column with the standard deviation of the magenta component being greater than or equal to a column standard deviation threshold value as an effective column;
the row-column combination device is connected with the standard deviation identification device and is used for receiving a plurality of effective rows and a plurality of effective columns and taking the image block with the largest number of effective rows or the largest number of effective columns as a reference image block;
the area detection equipment is connected with the row-column combination equipment and used for carrying out object identification on the reference image blocks to obtain each area occupied by each object in the reference image blocks, and sending an overflow control instruction when the sum of each area exceeds the limit, or sending a storage normal instruction;
the voice alarm equipment is respectively connected with the humidity sensing equipment and the area detection equipment and is used for playing a voice alarm file corresponding to the overflow control instruction when the overflow control instruction is received and playing a voice alarm file corresponding to the humidity standard exceeding instruction when the humidity standard exceeding instruction is received;
wherein, taking the image block with the most number of effective rows or the most number of effective columns as the reference image block comprises: and when the same pixel points exist in a certain effective line and a certain image block, determining that the image block comprises the effective line.
2. The item fill alarm system of claim 1, wherein:
in the row-column combination device, taking the image partition including the largest number of effective rows or the largest number of effective columns as a reference image partition includes: and blocking the multi-time filtering image to obtain a plurality of image blocks with the same size.
3. The item fill alarm system of claim 2, wherein:
the step of using the image block with the most number of effective rows or the most number of effective columns as the reference image block comprises the following steps: and when the same pixel point exists between a certain effective column and a certain image block, determining that the image block comprises the effective column.
4. The item fill alarm system of claim 3, wherein:
in the selective processing device, the larger the noise mean value is, the more times of performing gaussian filtering on the field adjustment image is determined;
the field adjustment device further comprises an edge detection unit and a curvature calculation unit, wherein the edge detection unit is used for detecting each edge curve of each target in the follow-up processing image.
5. The item fill alarm system of claim 4, wherein:
the signal-to-noise ratio processing device comprises a parameter extraction sub-device which is used for receiving the freezing chamber internal image, determining the signal-to-noise ratio of each object area in the freezing chamber internal image, and determining the current signal-to-noise ratio of the whole freezing chamber internal image based on the signal-to-noise ratios of the object areas in the freezing chamber internal image.
6. The item fill alarm system of claim 5, wherein:
the signal-to-noise ratio processing device comprises a following processing sub-device which is connected with the parameter extraction sub-device and used for executing wiener filtering processing with corresponding strength on the internal image of the freezing chamber based on the received current signal-to-noise ratio to obtain and output a wiener filtering image when the received current signal-to-noise ratio is greater than or equal to a preset proportion threshold value, and executing homomorphic filtering processing with corresponding strength on the wiener filtering image based on the received current signal-to-noise ratio to obtain and output a following processing image;
and the following processing sub-equipment is further used for sequentially executing wiener filtering processing with first fixed intensity and homomorphic filtering processing with second fixed intensity on the image in the freezing chamber when the received current signal-to-noise ratio is smaller than a preset proportion threshold value so as to obtain and output a following processing image.
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