CN109371633B - Foam spreading state detection system - Google Patents
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- CN109371633B CN109371633B CN201811447491.9A CN201811447491A CN109371633B CN 109371633 B CN109371633 B CN 109371633B CN 201811447491 A CN201811447491 A CN 201811447491A CN 109371633 B CN109371633 B CN 109371633B
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/22—Condition of the washing liquid, e.g. turbidity
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F39/00—Details of washing machines not specific to a single type of machines covered by groups D06F9/00 - D06F27/00
- D06F39/06—Arrangements for preventing or destroying scum
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Abstract
The invention relates to a foam spreading state detection system, which comprises: a brushless motor for providing power for the rotation of the drum of the washing machine, the brushless motor comprising a driver, a protective cover, an armature core and a main pole; a humidity sensor for sensing humidity in the drum of the washing machine to output as real-time drum humidity; a temperature sensor for sensing the temperature in the drum of the washing machine to output as real-time drum temperature; a liquid crystal display panel displaying real-time drum humidity and real-time drum temperature; the foam detection equipment is used for detecting a plurality of foam subregions in each to-be-processed region based on the foam imaging characteristics and sending out a foam overproof signal when the total number of pixel points occupied by the plurality of foam subregions is over limit; and the ZIGBEE communication equipment is used for sending the real-time sensing image to a nearby mobile terminal through a ZIGBEE communication link when receiving the foam overproof signal. By the invention, the effective monitoring of the foam around the washing machine is realized.
Description
Technical Field
The invention relates to the field of washing machines, in particular to a foam spreading state detection system.
Background
Generally, the most common washing machines are largely classified into three main categories: impeller, drum, jet.
1. The power of the pulsator washing machine is about 400 watts generally, and the power consumption is less than 0.5 degree. The washing power of the drum washing machine is generally about 1200 and 2500 watts, and when the drum washing machine washes, the water temperature needs to be raised by an electric heater to achieve a good washing effect, and if the water temperature is increased to 60 ℃, the power consumption is about 1.5 ℃. The washing time is 40 minutes, and if the program is customized, less time is needed; the drum washing machine generally has a washing time of 1-2 hours, and although the existing machine type has a quick washing function, the drum washing machine is only used under the condition of less clothes, and the quick washing function still needs 30 minutes. The cleaning rate is about 75%, and the impeller rate is as high as 95%. The impeller washing machine can wash clothes clean only by using water at normal temperature, and the drum washing machine can wash the clothes clean only by heating.
2. The drum type washing machine adopts a water-saving technology for controlling the water quantity, a heating washing technology, modes of rain, soaking and beating triple washing, three-dimensional water flow and the like, and a waterproof overflow function, so that the water function is brought into play. The water consumption of the drum washing machine for washing is about 70-100 liters, and the water consumption of the pulsator washing machine is about 180-240 liters. The water consumption of the drum washing machine is about 40-50% of that of the pulsator washing machine. Because of the washing mode of the drum washing machine, the drum washing machine only needs a very low water level when washing, and some drums use less water, so that half of water can be saved compared with the common drum washing machine. The structure of the drum-type washing machine is more exquisite and compact than that of a double-cylinder impeller type washing machine, the size of the machine body of the common drum-type washing machine is half of that of the machine body of the double-cylinder impeller type washing machine, the occupied space is small, and the use is safe and convenient.
3. The washing container of the jet washing machine is a vertical barrel, and only the impeller is arranged on the side wall of the barrel. After the motor is started, the side-wall impeller generates strong water flow to spin, throw, rub and wash clothes in the washing liquid, so that the clothes are cleaned. Its advantages are short washing time, easy washing of dirt, simple structure and less failure. However, because the water flow is strong, the clothes are easily twisted together, so that the clothes are unevenly washed, the clothes are seriously damaged, and the washing liquid is easily splashed during washing.
Disclosure of Invention
The invention provides a foam spreading state detection system, which aims to solve the technical problem that foam spreads out from a washing machine when the current washing machine is unattended and a user cannot learn the foam spreading state.
The invention has at least the following three important points:
(1) detecting the foam around the washing machine to determine whether to send the relevant real-time image to the mobile terminal of the user based on the detection result so as to avoid the condition of foam spreading;
(2) analyzing the reference rows and reference columns which are changed violently in the image, and dividing each area formed by intersecting each reference row and each reference column from the self-adaptive processing image to be used as each area to be processed:
(3) on the basis of the image smoothing processing, histogram equalization processing corresponding to the acquired histogram equalization level is performed on the smoothed image to output an adaptively processed image.
According to an aspect of the present invention, there is provided a foam propagation state detection system, the system comprising:
a brushless motor for providing power for rotation of a drum of a washing machine, the brushless motor including a driver, a protective cover, an armature core, and a main pole; the humidity sensor is arranged in the drum of the washing machine and used for sensing the humidity in the drum of the washing machine so as to output the humidity as real-time drum humidity; the temperature sensor is arranged in the drum of the washing machine and used for sensing the temperature in the drum of the washing machine to output as real-time drum temperature; the liquid crystal display panel is respectively connected with the humidity sensor and the temperature sensor and is used for displaying the real-time roller humidity and the real-time roller temperature; the image sensing equipment is arranged above a drum of the washing machine and is used for carrying out image sensing operation on the place where the washing machine is located so as to obtain a real-time sensing image; the content adjusting device is connected with the image sensing device and used for receiving the real-time sensing image and executing image smoothing processing on the real-time sensing image so as to obtain and output a corresponding smoothed image; the parameter acquisition equipment is connected with the content adjustment equipment and is used for measuring the histogram equalization level of the signal of the smooth processed image, sending a first control instruction when the histogram equalization level is greater than or equal to a preset level threshold value and sending a second control instruction when the histogram equalization level is less than the preset level threshold value; the adaptive processing equipment is connected with the parameter acquisition equipment, and is used for executing histogram equalization processing corresponding to the histogram equalization level on the smoothed image to output an adaptive processing image when receiving the second control instruction, and is also used for outputting the smoothed image as the adaptive processing image when receiving the first control instruction; the pixel value analysis device is connected with the self-adaptive processing device and used for obtaining the average value of all pixel values of all pixel points in the self-adaptive processing image and executing the following actions aiming at each line of the self-adaptive processing image: when data obtained by subtracting the absolute value of the difference value obtained by subtracting the average value of each pixel point in the self-adaptive processing image from the average value of each pixel point in the row is larger than or equal to a limit amount, determining the behavior reference row; also for performing the following for each column of the adaptively processed image: when data obtained by subtracting the absolute value of the difference value obtained by subtracting the average value of each pixel point in the self-adaptive processing image from the average value of each pixel point in the column is more than or equal to a limit, determining the column as a reference column; the DSP processing chip is connected with the pixel value analysis equipment and is used for acquiring each reference line and each reference column in the self-adaptive processing image and dividing each area formed by crossing each reference line and each reference column from the self-adaptive processing image to be used as each area to be processed; the foam detection equipment is connected with the DSP processing chip and used for receiving each to-be-processed area, detecting a plurality of foam subregions in each to-be-processed area based on foam imaging characteristics, and sending a foam standard exceeding signal when the total number of pixel points occupied by the foam subregions exceeds the limit, or sending a foam standard not exceeding signal; and the ZIGBEE communication equipment is respectively connected with the foam detection equipment and the image sensing equipment and is used for sending the real-time sensing image to a nearby mobile terminal through a ZIGBEE communication link when the foam exceeding signal is received.
More specifically, in the foam-spreading state detection system: and the ZIGBEE communication equipment is also used for stopping sending the real-time induction image to a nearby mobile terminal through a ZIGBEE communication link when receiving the signal that the foam does not exceed the standard.
More specifically, in the foam spreading state detection system, further comprising:
and the MMC memory chip is connected with the self-adaptive processing equipment and used for storing the corresponding relation between the histogram equalization grade and the intensity of executing the histogram equalization processing.
More specifically, in the foam-spreading state detection system: the self-adaptive processing equipment is composed of an instruction receiving unit, an equalization processing unit and an image output unit, wherein the equalization processing unit is respectively connected with the instruction receiving unit and the image output unit.
More specifically, in the foam-spreading state detection system: the pixel value analysis equipment and the DSP processing chip are integrated on the same printed circuit board; the DSP processing chip is also internally provided with a ROM unit, a RAM unit and a timing unit.
More specifically, in the foam-spreading state detection system: the image sensing equipment comprises a cylindrical PVC main body, a steel body shell, a plurality of imaging units, a plurality of steel body sleeving rings and a plurality of insulating decorative patches.
More specifically, in the foam-spreading state detection system: the steel body shell covers on the side of cylindrical PVC main part, and a plurality of insulating decoration paster paste in succession on the steel body shell surface with interconnect mode, and each insulating decoration paster is embedded to have the steel body shielding piece, and each imaging unit setting is in the center department of an insulating decoration paster, and has cup jointed a steel body cover ring of fixing on the insulating decoration paster surface.
More specifically, in the foam-spreading state detection system: for each insulating decorative patch, the distance from the steel body sleeving ring to the steel body shielding sheet is larger than the distance from the steel body sleeving ring to the steel body shell, so that static electricity on the steel body sleeving ring is released to the steel body shell conveniently.
More specifically, in the foam-spreading state detection system: the imaging units are used for carrying out image detection on the environment at different viewing angles so as to respectively obtain and output a plurality of environment images.
More specifically, in the foam spreading state detection system, further comprising:
and the area duplicate removal equipment is respectively connected with the imaging units and is used for receiving the environment images and carrying out duplicate removal processing on the overlapping areas in the environment images so as to merge the real-time induction images of the environment.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural view of a brushless motor of a foam propagation state detection system according to an embodiment of the present invention.
Detailed Description
Embodiments of the foam propagation state detecting system of the present invention will be described in detail with reference to the accompanying drawings.
The environment inside the washing machine is very humid, and a large amount of mold can grow after the washing machine is idle for several days. The longer the using time is, the more chance of mold growth inside the container is. After one washing machine is used for a long time, if the washing machine is not cleaned in time, the water becomes muddy slowly and the rinsing is not clean. Over time, the next laundry will be soiled. If people use the washing machine with mould for washing clothes for a long time, cross infection can be generated to cause various skin diseases. Therefore, after the clothes are washed, the water in the washing machine should be drained in time, and the disinfection cabinet or the clothes disinfectant can be used if the cover is opened; the underwear is best washed by hands.
In order to overcome the defects, the invention builds a foam spreading state detection system, and can effectively solve the corresponding technical problem.
The foam spreading state detection system shown according to the embodiment of the present invention includes:
as shown in fig. 1, a brushless motor for powering rotation of a drum of a washing machine, the brushless motor including a driver, a protective cover, an armature core 2, and a main pole 1;
the humidity sensor is arranged in the drum of the washing machine and used for sensing the humidity in the drum of the washing machine so as to output the humidity as real-time drum humidity;
the temperature sensor is arranged in the drum of the washing machine and used for sensing the temperature in the drum of the washing machine to output as real-time drum temperature;
the liquid crystal display panel is respectively connected with the humidity sensor and the temperature sensor and is used for displaying the real-time roller humidity and the real-time roller temperature;
the image sensing equipment is arranged above a drum of the washing machine and is used for carrying out image sensing operation on the place where the washing machine is located so as to obtain a real-time sensing image;
the content adjusting device is connected with the image sensing device and used for receiving the real-time sensing image and executing image smoothing processing on the real-time sensing image so as to obtain and output a corresponding smoothed image;
the parameter acquisition equipment is connected with the content adjustment equipment and is used for measuring the histogram equalization level of the signal of the smooth processed image, sending a first control instruction when the histogram equalization level is greater than or equal to a preset level threshold value and sending a second control instruction when the histogram equalization level is less than the preset level threshold value;
the adaptive processing equipment is connected with the parameter acquisition equipment, and is used for executing histogram equalization processing corresponding to the histogram equalization level on the smoothed image to output an adaptive processing image when receiving the second control instruction, and is also used for outputting the smoothed image as the adaptive processing image when receiving the first control instruction;
the pixel value analysis device is connected with the self-adaptive processing device and used for obtaining the average value of all pixel values of all pixel points in the self-adaptive processing image and executing the following actions aiming at each line of the self-adaptive processing image: when data obtained by subtracting the absolute value of the difference value obtained by subtracting the average value of each pixel point in the self-adaptive processing image from the average value of each pixel point in the row is larger than or equal to a limit amount, determining the behavior reference row; also for performing the following for each column of the adaptively processed image: when data obtained by subtracting the absolute value of the difference value obtained by subtracting the average value of each pixel point in the self-adaptive processing image from the average value of each pixel point in the column is more than or equal to a limit, determining the column as a reference column;
the DSP processing chip is connected with the pixel value analysis equipment and is used for acquiring each reference line and each reference column in the self-adaptive processing image and dividing each area formed by crossing each reference line and each reference column from the self-adaptive processing image to be used as each area to be processed;
the foam detection equipment is connected with the DSP processing chip and used for receiving each to-be-processed area, detecting a plurality of foam subregions in each to-be-processed area based on foam imaging characteristics, and sending a foam standard exceeding signal when the total number of pixel points occupied by the foam subregions exceeds the limit, or sending a foam standard not exceeding signal;
and the ZIGBEE communication equipment is respectively connected with the foam detection equipment and the image sensing equipment and is used for sending the real-time sensing image to a nearby mobile terminal through a ZIGBEE communication link when the foam exceeding signal is received.
Next, a detailed description of the structure of the foam propagation state detection system of the present invention will be continued.
In the foam propagation state detection system: and the ZIGBEE communication equipment is also used for stopping sending the real-time induction image to a nearby mobile terminal through a ZIGBEE communication link when receiving the signal that the foam does not exceed the standard.
In the foam propagation state detection system, further comprising:
and the MMC memory chip is connected with the self-adaptive processing equipment and used for storing the corresponding relation between the histogram equalization grade and the intensity of executing the histogram equalization processing.
In the foam propagation state detection system: the self-adaptive processing equipment is composed of an instruction receiving unit, an equalization processing unit and an image output unit, wherein the equalization processing unit is respectively connected with the instruction receiving unit and the image output unit.
In the foam propagation state detection system: the pixel value analysis equipment and the DSP processing chip are integrated on the same printed circuit board;
the DSP processing chip is also internally provided with a ROM unit, a RAM unit and a timing unit.
In the foam propagation state detection system: the image sensing equipment comprises a cylindrical PVC main body, a steel body shell, a plurality of imaging units, a plurality of steel body sleeving rings and a plurality of insulating decorative patches.
In the foam propagation state detection system: the steel body shell covers on the side of cylindrical PVC main part, and a plurality of insulating decoration paster paste in succession on the steel body shell surface with interconnect mode, and each insulating decoration paster is embedded to have the steel body shielding piece, and each imaging unit setting is in the center department of an insulating decoration paster, and has cup jointed a steel body cover ring of fixing on the insulating decoration paster surface.
In the foam propagation state detection system: for each insulating decorative patch, the distance from the steel body sleeving ring to the steel body shielding sheet is larger than the distance from the steel body sleeving ring to the steel body shell, so that static electricity on the steel body sleeving ring is released to the steel body shell conveniently.
In the foam propagation state detection system: the imaging units are used for carrying out image detection on the environment at different viewing angles so as to respectively obtain and output a plurality of environment images.
In the foam propagation state detection system, further comprising:
and the area duplicate removal equipment is respectively connected with the imaging units and is used for receiving the environment images and carrying out duplicate removal processing on the overlapping areas in the environment images so as to merge the real-time induction images of the environment.
In addition, ZIGBEE is a low power consumption lan protocol based on the ieee802.15.4 standard. According to international standards, ZIGBEE technology is a short-range, low-power wireless communication technology. This name (also called the purple bee protocol) is derived from the dance of the eight characters of bees, since bees (bee) communicate the orientation information of pollen with partners by flying and "waving" (ZIG) flapping wings, "i.e. bees form a communication network in the community by this way. Its advantages are short distance, low complexity, self-organization, low power consumption and low data rate. The device is mainly suitable for the fields of automatic control and remote control, and can be embedded into various devices. In short, ZIGBEE is an inexpensive and low-power-consumption short-range wireless networking communication technology. ZIGBEE is a wireless network protocol for low-speed short-range transmission. The ZIGBEE protocol is, from bottom to top, a physical layer (PHY), a media access control layer (MAC), a Transport Layer (TL), a network layer (NWK), an application layer (APL), and the like. Wherein the physical layer and the medium access control layer comply with the provisions of the IEEE802.15.4 standard.
By adopting the foam spreading state detection system, aiming at the technical problem that the foam spreading detection mechanism of the washing machine is lacked in the prior art, the foam around the washing machine is detected, so that whether the relevant real-time image is sent to the mobile terminal of a user is determined based on the detection result, and the condition of foam spreading is avoided; analyzing the reference rows and reference columns which are changed violently in the image, and dividing each area formed by intersecting each reference row and each reference column from the self-adaptive processing image to be used as each area to be processed: on the basis of image smoothing processing, histogram equalization processing corresponding to the acquired histogram equalization level is performed on the smoothed image to output a self-adaptive processed image; 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 (10)
1. A foam propagation status detection system, the system comprising:
a brushless motor for providing power for rotation of a drum of a washing machine, the brushless motor including a driver, a protective cover, an armature core, and a main pole;
the humidity sensor is arranged in the drum of the washing machine and used for sensing the humidity in the drum of the washing machine so as to output the humidity as real-time drum humidity;
the temperature sensor is arranged in the drum of the washing machine and used for sensing the temperature in the drum of the washing machine to output as real-time drum temperature;
the liquid crystal display panel is respectively connected with the humidity sensor and the temperature sensor and is used for displaying the real-time roller humidity and the real-time roller temperature;
the image sensing equipment is arranged above a drum of the washing machine and is used for carrying out image sensing operation on the place where the washing machine is located so as to obtain a real-time sensing image;
the content adjusting device is connected with the image sensing device and used for receiving the real-time sensing image and executing image smoothing processing on the real-time sensing image so as to obtain and output a corresponding smoothed image;
the parameter acquisition equipment is connected with the content adjustment equipment and is used for measuring the histogram equalization level of the signal of the smooth processed image, sending a first control instruction when the histogram equalization level is greater than or equal to a preset level threshold value and sending a second control instruction when the histogram equalization level is less than the preset level threshold value;
the adaptive processing equipment is connected with the parameter acquisition equipment, and is used for executing histogram equalization processing corresponding to the histogram equalization level on the smoothed image to output an adaptive processing image when receiving the second control instruction, and is also used for outputting the smoothed image as the adaptive processing image when receiving the first control instruction;
the pixel value analysis device is connected with the self-adaptive processing device and used for obtaining the average value of all pixel values of all pixel points in the self-adaptive processing image and executing the following actions aiming at each line of the self-adaptive processing image: when data obtained by subtracting the absolute value of the difference value obtained by subtracting the average value of each pixel point in the self-adaptive processing image from the average value of each pixel point in the row is larger than or equal to a limit amount, determining the behavior reference row; also for performing the following for each column of the adaptively processed image: when data obtained by subtracting the absolute value of the difference value obtained by subtracting the average value of each pixel point in the self-adaptive processing image from the average value of each pixel point in the column is more than or equal to a limit, determining the column as a reference column;
the DSP processing chip is connected with the pixel value analysis equipment and is used for acquiring each reference line and each reference column in the self-adaptive processing image and dividing each area formed by crossing each reference line and each reference column from the self-adaptive processing image to be used as each area to be processed;
the foam detection equipment is connected with the DSP processing chip and used for receiving each to-be-processed area, detecting a plurality of foam subregions in each to-be-processed area based on foam imaging characteristics, and sending a foam standard exceeding signal when the total number of pixel points occupied by the foam subregions exceeds the limit, or sending a foam standard not exceeding signal;
and the ZIGBEE communication equipment is respectively connected with the foam detection equipment and the image sensing equipment and is used for sending the real-time sensing image to a nearby mobile terminal through a ZIGBEE communication link when the foam exceeding signal is received.
2. A foam propagation state detection system as claimed in claim 1, wherein:
and the ZIGBEE communication equipment is also used for stopping sending the real-time induction image to a nearby mobile terminal through a ZIGBEE communication link when receiving the signal that the foam does not exceed the standard.
3. A foam propagation state detection system as claimed in claim 2, wherein the system further comprises:
and the MMC memory chip is connected with the self-adaptive processing equipment and used for storing the corresponding relation between the histogram equalization grade and the intensity of executing the histogram equalization processing.
4. A foam propagation state detection system as claimed in claim 3, wherein:
the self-adaptive processing equipment is composed of an instruction receiving unit, an equalization processing unit and an image output unit, wherein the equalization processing unit is respectively connected with the instruction receiving unit and the image output unit.
5. The foam propagation state detection system of claim 4, wherein:
the pixel value analysis equipment and the DSP processing chip are integrated on the same printed circuit board;
the DSP processing chip is also internally provided with a ROM unit, a RAM unit and a timing unit.
6. The foam propagation state detection system of claim 5, wherein:
the image sensing equipment comprises a cylindrical PVC main body, a steel body shell, a plurality of imaging units, a plurality of steel body sleeving rings and a plurality of insulating decorative patches.
7. The foam propagation state detection system of claim 6, wherein:
the steel body shell covers on the side of cylindrical PVC main part, and a plurality of insulating decoration paster paste in succession on the steel body shell surface with interconnect mode, and each insulating decoration paster is embedded to have the steel body shielding piece, and each imaging unit setting is in the center department of an insulating decoration paster, and has cup jointed a steel body cover ring of fixing on the insulating decoration paster surface.
8. A foam propagation state detection system as claimed in claim 7, wherein:
for each insulating decorative patch, the distance from the steel body sleeving ring to the steel body shielding sheet is larger than the distance from the steel body sleeving ring to the steel body shell, so that static electricity on the steel body sleeving ring is released to the steel body shell conveniently.
9. A foam propagation state detection system as claimed in claim 8, wherein:
the imaging units are used for carrying out image detection on the environment at different viewing angles so as to respectively obtain and output a plurality of environment images.
10. A foam propagation state detection system as claimed in claim 9, wherein the system further comprises:
and the area duplicate removal equipment is respectively connected with the imaging units and is used for receiving the environment images and carrying out duplicate removal processing on the overlapping areas in the environment images so as to merge the real-time induction images of the environment.
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| US5890247A (en) * | 1997-12-22 | 1999-04-06 | Maytag Corporation | Automatic washing machine incorporating a suds detection and control system |
| CN102128837B (en) * | 2011-01-08 | 2012-08-22 | 中国石油大学(华东) | Real-time acquisition experimental device for flowing foam structural images in porous media |
| CN103334265B (en) * | 2013-06-19 | 2015-09-16 | 松下家电研究开发（杭州）有限公司 | A kind of intelligent washing machine, control method for washing and long-distance monitoring method |
| CN103345636B (en) * | 2013-06-24 | 2016-04-13 | 中南大学 | Based on the copper flotation site bubble condition recognition methods of multi-scale wavelet binaryzation |
| CN103442047A (en) * | 2013-08-20 | 2013-12-11 | 中南大学 | System and method for analyzing mineral flotation froth size based on embedded platform |
| CN104408724B (en) * | 2014-11-27 | 2017-12-01 | 中南大学 | Froth flotation level monitoring and operating mode's switch method and system based on depth information |
| CN107916526A (en) * | 2016-10-11 | 2018-04-17 | 宁波吉德家电科技有限公司 | A kind of intelligent monitor system of internet-of-thing washing machine |
| CN106930055A (en) * | 2017-01-22 | 2017-07-07 | 无锡小天鹅股份有限公司 | Washing machine and for washing machine foam volume detection method and device |
| CN107447442B (en) * | 2017-08-31 | 2020-04-10 | 深圳市盛路物联通讯技术有限公司 | Alarm method based on image recognition technology and intelligent device |
| CN108051817A (en) * | 2017-11-23 | 2018-05-18 | 苏州奥柯图葳机电科技有限公司 | A kind of city sewer environmental detection set for engineering design based on BIM |
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