阅读说明：本技术 现场材料鉴别平台 (On-site material identification platform ) 是由 王英婷 于 2019-05-15 设计创作，主要内容包括：本发明涉及一种现场材料鉴别平台,包括：液位传感设备,设置在所述烧水用具的内部,用于实时测量所述烧水用具内部的液位以作为实时液位输出；反光识别设备,用于对参考子图像中的各个像素点的各个亮度值进行均值计算,以获得参考亮度值,基于所述参考亮度值获得对应的反光度；语音通知设备,与所述反光识别设备连接,用于在接收到的反光度未落在304不锈钢的反光度范围内时,发出材料报警信号。本发明的现场材料鉴别平台设计合理,结构紧凑。由于基于烧水用具现场材料的反光特性,确定当前是否安装有304不锈钢体进行烧水操作,从而保证用户的健康用水。(The invention relates to a field material identification platform, comprising: the liquid level sensing equipment is arranged inside the water boiling appliance and used for measuring the liquid level inside the water boiling appliance in real time to serve as real-time liquid level output; the reflection identification equipment is used for carrying out mean value calculation on all brightness values of all pixel points in the reference sub-image so as to obtain a reference brightness value, and obtaining the corresponding reflection degree based on the reference brightness value; and the voice notification equipment is connected with the reflection recognition equipment and is used for sending a material alarm signal when the received reflection degree is not within the reflection degree range of the 304 stainless steel. The field material identification platform is reasonable in design and compact in structure. Because the light reflection characteristic of the field material of the water boiling appliance is used, whether a 304 stainless steel body is installed at present or not is determined for water boiling operation, and therefore healthy water of a user is guaranteed.)

1. A field material authentication platform, comprising:

and the liquid level sensing equipment is arranged in the water boiling appliance and used for measuring the liquid level in the water boiling appliance in real time to output the liquid level as real-time liquid level.

2. The field material discrimination platform of claim 1, wherein the platform further comprises:

the position detection equipment is connected with the top cover of the water boiling appliance and used for sending a first position signal when the opening of the top cover of the water boiling appliance is detected and sending a second position signal when the closing of the top cover of the water boiling appliance is detected.

3. The field material discrimination platform of claim 2, wherein the platform further comprises:

the lighting device is connected with the position detection device and used for starting lighting inside the water boiling appliance when receiving the first position signal and stopping lighting inside the water boiling appliance when receiving the second position signal;

the hemispherical camera comprises a hemispherical waterproof shell, a CMOS sensor and a fixed connecting piece, wherein the fixed connecting piece is used for fixedly installing the CMOS sensor on a top cover of the water boiling appliance;

in the hemispherical camera, the CMOS sensor is connected with the liquid level sensing equipment and is used for carrying out image sensing action on the internal scene of the water boiling appliance at intervals of preset time when the received real-time liquid level is less than or equal to a preset height threshold value so as to obtain and output an internal scene image;

in the hemispherical camera, the hemispherical waterproof housing is used for enclosing the CMOS sensor and is made of a transparent material;

the multiple regression interpolation equipment is connected with the hemispherical camera and used for executing multiple regression interpolation processing on the received internal scene image so as to obtain a corresponding multiple regression interpolation image;

the background analysis device is connected with the multivariate regression interpolation device and used for receiving the multivariate regression interpolation image, identifying a corresponding inner shell sub-image from the multivariate regression interpolation image based on a preset inner shell gray threshold, performing background analysis on the inner shell sub-image to obtain a background sub-image with the size corresponding to the inner shell sub-image, subtracting the background sub-image from the inner shell sub-image pixel by pixel to obtain a corresponding foreground sub-image, calculating the number of pixels with non-zero pixel values in the foreground sub-image, and sending a data effective signal when the number of the non-zero pixels is greater than or equal to the preset pixel number threshold, or sending a data ineffective signal;

the on-site sharpening device is arranged between the multiple regression interpolation device and the background analysis device and is used for carrying out on-site sharpening on the received multiple regression interpolation image when a data invalid signal is received so as to obtain an on-site sharpened image, and replacing the multiple regression interpolation image with the on-site sharpened image and sending the on-site sharpened image to the background analysis device;

the FLASH storage chip is connected with the background analysis equipment and is used for storing the preset inner shell gray level threshold value;

the light reflection identification equipment is connected with the background analysis equipment and used for receiving the reference sub-image, carrying out mean value calculation on each brightness value of each pixel point in the reference sub-image to obtain a reference brightness value, and obtaining corresponding light reflection degree based on the reference brightness value;

the voice notification equipment is connected with the reflection recognition equipment and is used for sending a material alarm signal when the received reflection degree is not within the reflection degree range of the 304 stainless steel;

when the background analysis device receives the field sharpened image, performing inner shell segmentation processing based on a preset inner shell gray threshold on the field sharpened image to obtain a corresponding reference sub-image;

the on-site sharpening device is further used for not performing on-site sharpening on the received multiple regression interpolation image when the data effective signal is received;

the background analysis equipment is further used for directly outputting the inner shell sub-image as a reference sub-image when the data effective signal is received;

wherein, in the glistening recognition device, obtaining the corresponding glistening degree based on the reference brightness value includes: the larger the reference brightness value is, the higher the obtained corresponding reflection degree is;

the FLASH storage chip is also connected with the field sharpening device and is used for receiving and storing the field sharpened image.

4. The field material discrimination platform of claim 3, wherein the platform further comprises:

the first processing device is connected with the background analysis device and used for receiving the reference sub-image, detecting each target shape in the reference sub-image, deepening each detected target shape to obtain a corresponding deepened image and outputting the deepened image; the deepening each detected target outline to obtain a corresponding deepened image includes: and obtaining each pixel point forming each target shape in the reference sub-image, and reducing the pixel value of each obtained pixel point to forty percent of the value of the pixel point.

5. The field material discrimination platform of claim 4, wherein the platform further comprises:

and the first detection device is connected with the first processing device and used for receiving the deepened processing image, determining the energy sizes distributed in different frequency bands in the deepened processing image, and outputting a plurality of frequency bands with energy less than or equal to a limited amount as a plurality of frequency bands to be processed.

6. The field material discrimination platform of claim 5, wherein the platform further comprises:

second processing equipment, with first check out test set with first processing equipment distribution connection is used for receiving a plurality of pending frequency bands and deepen processing image, based on a plurality of pending frequency bands are right deepen processing image carries out band-pass filtering and handles, in order to obtain come from deepen processing image, exist the band-pass filtering image of a plurality of pending frequency bands still is used for obtaining to follow get rid of in the deepen processing image the band-pass of band-pass filtering image remains the image.

7. The field material discrimination platform of claim 6, wherein the platform further comprises:

and the third processing device is connected with the second processing device and used for executing gain processing on the band-pass filtering image based on the dynamic distribution range of the band-pass filtering image so as to obtain and output a gain processing image, wherein the wider the dynamic distribution range of the band-pass filtering image is, the smaller the gain processing force executed by the band-pass filtering image is.

8. The field material discrimination platform of claim 7, wherein the platform further comprises:

and the fourth processing equipment is respectively connected with the reflective identification equipment, the second processing equipment and the third processing equipment.

9. The field material discrimination platform of claim 8, wherein:

the fourth processing device is configured to receive the gain processed image and the band-pass retained image, and integrate the gain processed image and the band-pass retained image to obtain a frequency domain processed image;

and the fourth processing device is further configured to send the frequency domain processed image to the reflection recognition device in place of the reference sub-image.

Technical Field

The invention relates to the field of food safety, in particular to a field material identification platform.

Background

Food safety means that food is non-toxic and harmless, meets the existing nutritional requirements, and does not cause any acute, subacute or chronic harm to human health. According to the definition of the food safety of Beinuo, the food safety is the public health problem that toxic and harmful substances in food have influence on human health. Food safety is also a interdisciplinary field specially discussed for ensuring food sanitation and eating safety, reducing hidden danger of diseases and preventing food poisoning in the processes of food processing, storage, sale and the like, so the food safety is very important.

The activities of planting, breeding, processing, packaging, storing, transporting, selling, consuming and the like of the food (food) meet the national mandatory standards and requirements, and the hidden danger that toxic and harmful substances which may damage or threaten human health cause the death of consumers or endanger the consumers and the offspring thereof does not exist. This concept indicates that food safety includes both production safety and operational safety; both result safety and process safety are included; including both real and future safety.

Disclosure of Invention

The invention has at least the following two important points:

(1) determining whether a 304 stainless steel body is installed at present for water boiling operation or not based on the light reflection characteristic of the field material of the water boiling appliance, so as to ensure the healthy water use of a user;

(2) and determining whether to carry out supplementary on-site image sharpening processing on the image data after the multiple regression interpolation processing according to the image identification result of the image data after the multiple regression interpolation processing, thereby facilitating the subsequent image processing.

According to an aspect of the present invention, there is provided a field material authentication platform, the platform comprising: and the liquid level sensing equipment is arranged in the water boiling appliance and used for measuring the liquid level in the water boiling appliance in real time to output the liquid level as real-time liquid level.

More specifically, in the field material discrimination platform, further comprising: the position detection equipment is connected with the top cover of the water boiling appliance and used for sending a first position signal when the opening of the top cover of the water boiling appliance is detected and sending a second position signal when the closing of the top cover of the water boiling appliance is detected.

More specifically, in the field material discrimination platform, further comprising: the lighting device is connected with the position detection device and used for starting lighting inside the water boiling appliance when receiving the first position signal and stopping lighting inside the water boiling appliance when receiving the second position signal; the hemispherical camera comprises a hemispherical waterproof shell, a CMOS sensor and a fixed connecting piece, wherein the fixed connecting piece is used for fixedly installing the CMOS sensor on a top cover of the water boiling appliance; in the hemispherical camera, the CMOS sensor is connected with the liquid level sensing equipment and is used for carrying out image sensing action on the internal scene of the water boiling appliance at intervals of preset time when the received real-time liquid level is less than or equal to a preset height threshold value so as to obtain and output an internal scene image; in the hemispherical camera, the hemispherical waterproof housing is used for enclosing the CMOS sensor and is made of a transparent material; and the multiple regression interpolation equipment is connected with the hemispherical camera and is used for executing multiple regression interpolation processing on the received internal scene image so as to obtain a corresponding multiple regression interpolation image.

The field material identification platform is reasonable in design and compact in structure. Because the light reflection characteristic of the field material of the water boiling appliance is used, whether a 304 stainless steel body is installed at present or not is determined for water boiling operation, and therefore healthy water of a user is guaranteed.

Detailed Description

Embodiments of the field material identification platform of the present invention will be described in detail below.

Stainless Steel (Stainless Steel) is short for Stainless acid-resistant Steel, and Steel which is resistant to weak corrosive media such as air, steam and water or has Stainless property is called Stainless Steel; and steel grades that are resistant to corrosion by chemically corrosive media (chemical attacks such as acids, bases, salts, etc.) are called acid-resistant steels.

Because of the difference in chemical composition between the two, the corrosion resistance of the two is different, and common stainless steel is generally not resistant to corrosion of chemical media, while acid-resistant steel is generally stainless. The term "stainless steel" refers not only to a single type of stainless steel, but also to more than a hundred types of industrial stainless steels, each of which has been developed to have good properties in its particular application field. The key to success is first to figure out the application and then to determine the correct steel grade. There are generally only six steel grades relevant to the field of building construction applications. They all contain 17-22% chromium, the preferred steel grade also contains nickel. The addition of molybdenum further improves atmospheric corrosion, particularly corrosion resistance to chloride-containing atmospheres.

Stainless steel refers to steel which resists corrosion by weak corrosive media such as air, steam, water and the like and chemical corrosive media such as acid, alkali, salt and the like, and is also called as stainless acid-resistant steel. In practice, steel resistant to corrosion by weakly corrosive media is often referred to as stainless steel, while steel resistant to corrosion by chemical media is referred to as acid-resistant steel. Due to the difference in chemical composition between the two, the former is not necessarily resistant to corrosion by chemical media, while the latter is generally non-corrosive. The corrosion resistance of stainless steel depends on the alloying elements contained in the steel.

Currently, 304 stainless steel bodies are qualified water-boiling materials required by some countries and regions, and have better water-boiling performance than other materials. However, the lack of a mechanism for on-site identification of the water boiling material of the water boiling appliance currently results in a low level of intelligence for the water boiling appliance.

In order to overcome the defects, the invention builds a field material identification platform, and can effectively solve the corresponding technical problem.

A field material authentication platform shown according to an embodiment of the present invention includes:

and the liquid level sensing equipment is arranged in the water boiling appliance and used for measuring the liquid level in the water boiling appliance in real time to output the liquid level as real-time liquid level.

Next, the detailed structure of the field material discrimination platform of the present invention will be further described.

In the field material authentication platform, further comprising:

the position detection equipment is connected with the top cover of the water boiling appliance and used for sending a first position signal when the opening of the top cover of the water boiling appliance is detected and sending a second position signal when the closing of the top cover of the water boiling appliance is detected.

In the field material authentication platform, further comprising:

the lighting device is connected with the position detection device and used for starting lighting inside the water boiling appliance when receiving the first position signal and stopping lighting inside the water boiling appliance when receiving the second position signal;

the hemispherical camera comprises a hemispherical waterproof shell, a CMOS sensor and a fixed connecting piece, wherein the fixed connecting piece is used for fixedly installing the CMOS sensor on a top cover of the water boiling appliance;

in the hemispherical camera, the CMOS sensor is connected with the liquid level sensing equipment and is used for carrying out image sensing action on the internal scene of the water boiling appliance at intervals of preset time when the received real-time liquid level is less than or equal to a preset height threshold value so as to obtain and output an internal scene image;

in the hemispherical camera, the hemispherical waterproof housing is used for enclosing the CMOS sensor and is made of a transparent material;

the multiple regression interpolation equipment is connected with the hemispherical camera and used for executing multiple regression interpolation processing on the received internal scene image so as to obtain a corresponding multiple regression interpolation image;

the background analysis device is connected with the multivariate regression interpolation device and used for receiving the multivariate regression interpolation image, identifying a corresponding inner shell sub-image from the multivariate regression interpolation image based on a preset inner shell gray threshold, performing background analysis on the inner shell sub-image to obtain a background sub-image with the size corresponding to the inner shell sub-image, subtracting the background sub-image from the inner shell sub-image pixel by pixel to obtain a corresponding foreground sub-image, calculating the number of pixels with non-zero pixel values in the foreground sub-image, and sending a data effective signal when the number of the non-zero pixels is greater than or equal to the preset pixel number threshold, or sending a data ineffective signal;

the on-site sharpening device is arranged between the multiple regression interpolation device and the background analysis device and is used for carrying out on-site sharpening on the received multiple regression interpolation image when a data invalid signal is received so as to obtain an on-site sharpened image, and replacing the multiple regression interpolation image with the on-site sharpened image and sending the on-site sharpened image to the background analysis device;

the FLASH storage chip is connected with the background analysis equipment and is used for storing the preset inner shell gray level threshold value;

the light reflection identification equipment is connected with the background analysis equipment and used for receiving the reference sub-image, carrying out mean value calculation on each brightness value of each pixel point in the reference sub-image to obtain a reference brightness value, and obtaining corresponding light reflection degree based on the reference brightness value;

the voice notification equipment is connected with the reflection recognition equipment and is used for sending a material alarm signal when the received reflection degree is not within the reflection degree range of the 304 stainless steel;

when the background analysis device receives the field sharpened image, performing inner shell segmentation processing based on a preset inner shell gray threshold on the field sharpened image to obtain a corresponding reference sub-image;

the on-site sharpening device is further used for not performing on-site sharpening on the received multiple regression interpolation image when the data effective signal is received;

the background analysis equipment is further used for directly outputting the inner shell sub-image as a reference sub-image when the data effective signal is received;

wherein, in the glistening recognition device, obtaining the corresponding glistening degree based on the reference brightness value includes: the larger the reference brightness value is, the higher the obtained corresponding reflection degree is;

the FLASH storage chip is also connected with the field sharpening device and is used for receiving and storing the field sharpened image.

In the field material authentication platform, further comprising:

the first processing device is connected with the background analysis device and used for receiving the reference sub-image, detecting each target shape in the reference sub-image, deepening each detected target shape to obtain a corresponding deepened image and outputting the deepened image; the deepening each detected target outline to obtain a corresponding deepened image includes: and obtaining each pixel point forming each target shape in the reference sub-image, and reducing the pixel value of each obtained pixel point to forty percent of the value of the pixel point.

In the field material authentication platform, further comprising:

and the first detection device is connected with the first processing device and used for receiving the deepened processing image, determining the energy sizes distributed in different frequency bands in the deepened processing image, and outputting a plurality of frequency bands with energy less than or equal to a limited amount as a plurality of frequency bands to be processed.

In the field material authentication platform, further comprising:

second processing equipment, with first check out test set with first processing equipment distribution connection is used for receiving a plurality of pending frequency bands and deepen processing image, based on a plurality of pending frequency bands are right deepen processing image carries out band-pass filtering and handles, in order to obtain come from deepen processing image, exist the band-pass filtering image of a plurality of pending frequency bands still is used for obtaining to follow get rid of in the deepen processing image the band-pass of band-pass filtering image remains the image.

In the field material authentication platform, further comprising:

and the third processing device is connected with the second processing device and used for executing gain processing on the band-pass filtering image based on the dynamic distribution range of the band-pass filtering image so as to obtain and output a gain processing image, wherein the wider the dynamic distribution range of the band-pass filtering image is, the smaller the gain processing force executed by the band-pass filtering image is.

In the field material authentication platform, further comprising:

and the fourth processing equipment is respectively connected with the reflective identification equipment, the second processing equipment and the third processing equipment.

In the field material authentication platform:

the fourth processing device is configured to receive the gain processed image and the band-pass retained image, and integrate the gain processed image and the band-pass retained image to obtain a frequency domain processed image;

and the fourth processing device is further configured to send the frequency domain processed image to the reflection recognition device in place of the reference sub-image.

In addition, a CMOS image sensor is a typical solid-state imaging sensor, and has a common historical source with a CCD. The CMOS image sensor generally comprises an image sensor cell array, a row driver, a column driver, a timing control logic, an AD converter, a data bus output interface, a control interface, etc., which are usually integrated on the same silicon chip. The working process can be generally divided into a reset part, a photoelectric conversion part, an integration part and a reading part.

Other digital signal processing circuits such as an AD converter, automatic exposure control, non-uniform compensation, white balance processing, black level control, gamma correction, etc. may be integrated on the CMOS image sensor chip, and even a DSP device having a programmable function may be integrated with the CMOS device for fast calculation, thereby forming a single-chip digital camera and an image processing system.

Morrison published a calculable sensor in 1963, which is a structure that can determine the position of a light spot by using a light guide effect, and became the beginning of the development of a CMOS image sensor. Low noise CMOS active pixel sensor monolithic digital cameras were successful in 1995.

CMOS image sensors have several advantages: 1) random window reading capability. Random window read operation is one aspect of CMOS image sensors that is functionally superior to CCDs, also referred to as region of interest selection. In addition, the high integration characteristics of the CMOS image sensor make it easy to implement a function of opening a plurality of tracking windows simultaneously. 2) And radiation resistance. In general, the potential radiation resistance of CMOS image sensors is significantly enhanced relative to CCD performance. 3) System complexity and reliability. The use of CMOS image sensors can greatly simplify the system hardware architecture. 4) And a non-destructive data reading method. 5) Optimized exposure control. It is noted that CMOS image sensors also have several disadvantages, mainly two indicators of noise and fill factor, due to the integration of multiple functional transistors in the pixel structure. In view of the relatively superior performance of the CMOS image sensor, the CMOS image sensor has been widely used in various fields.

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.