CN110634094A - Big data analysis-based regulation and control mechanism - Google Patents
Big data analysis-based regulation and control mechanism Download PDFInfo
- Publication number
- CN110634094A CN110634094A CN201910265381.9A CN201910265381A CN110634094A CN 110634094 A CN110634094 A CN 110634094A CN 201910265381 A CN201910265381 A CN 201910265381A CN 110634094 A CN110634094 A CN 110634094A
- Authority
- CN
- China
- Prior art keywords
- image
- equipment
- real
- soymilk
- component value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0014—Image feed-back for automatic industrial control, e.g. robot with camera
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration by the use of histogram techniques
Abstract
The invention relates to a regulation and control mechanism based on big data analysis, which comprises: the user identification equipment is used for carrying out facial feature analysis on the facial area with the minimum depth of field value in the real-time processing image so as to obtain a corresponding user number; and the dosage regulating and controlling device is arranged in the soymilk machine, is connected with the user identification device and is used for determining the soymilk concentration corresponding to the user number when receiving the user number so as to control the soymilk modulation of the soymilk machine based on the determined soymilk concentration. The regulation and control mechanism based on big data analysis is effective in regulation and control and convenient to use. Because the user closest to the soymilk machine is identified on the basis of the customized image processing, the soymilk concentration corresponding to the user is determined on the basis of the identification result, and the soymilk modulation of the soymilk machine is controlled on the basis of the determined soymilk concentration, thereby improving the intelligent level of the soymilk machine.
Description
Technical Field
The invention relates to the field of big data analysis, in particular to a regulating and controlling mechanism based on big data analysis.
Background
The data analysis has an extremely wide application range. A typical data analysis may comprise the following three steps:
1. exploratory data analysis: when data is just obtained, disorder is possible, no rule can be seen, possible forms of regularity are explored by means of drawing, tabulating, equation fitting in various forms, calculating certain characteristic quantities and the like, namely, the direction and the mode of searching and revealing the regularity hidden in the data;
2. model selection and analysis, wherein one or more types of possible models are provided on the basis of exploratory analysis, and then certain models are selected through further analysis;
3. and (3) inference analysis: inferences are typically made regarding the degree of reliability and accuracy of a determined model or estimate using mathematical statistical methods.
Disclosure of Invention
The invention needs to have the following key invention points:
(1) on the basis of customized image processing, a user closest to the soymilk machine is identified, the soymilk concentration corresponding to the user is determined based on the identification result, and soymilk modulation of the soymilk machine is controlled based on the determined soymilk concentration, so that the intelligent level of the soymilk machine is improved;
(2) whether the intermediate link of image processing is skipped is determined according to the residual electric quantity grade of the lithium battery, so that the working time of the image processing system is prolonged.
According to an aspect of the present invention, there is provided a regulation mechanism based on big data analysis, the mechanism comprising: and the state identification equipment is connected with the lithium battery and used for detecting the current state of the lithium battery and sending an operation identification signal when the current state of the lithium battery is in an operation state.
More specifically, in the big data analysis-based regulatory mechanism: the state identification equipment is also used for sending a dormancy identification signal when the current state of the lithium battery is in a dormancy state.
More specifically, in the big data analysis-based regulatory mechanism, the mechanism further includes: the grade analyzing equipment is respectively connected with the state identifying equipment and the lithium battery and is used for analyzing the residual electric quantity of the lithium battery in real time when the operation identifying signal is received and determining the corresponding residual electric quantity grade based on the analyzed electric quantity value; in the grade analyzing device, the analyzed electric quantity value is in direct proportion to the grade of the residual electric quantity; the grade analyzing equipment is also used for stopping analyzing the residual electric quantity of the lithium battery in real time when the dormancy identification signal is received, and setting the grade of the residual electric quantity to be zero; the button camera is arranged in the shell of the soymilk machine and is used for carrying out camera shooting operation on the front of the soymilk machine so as to obtain and output a corresponding front shell image; and the field correction equipment is connected with the button camera and used for receiving the front image of the shell and executing color correction processing on the front image of the shell so as to obtain and output a corresponding field correction image.
The regulation and control mechanism based on big data analysis is effective in regulation and control and convenient to use. Because the user closest to the soymilk machine is identified on the basis of the customized image processing, the soymilk concentration corresponding to the user is determined on the basis of the identification result, and the soymilk modulation of the soymilk machine is controlled on the basis of the determined soymilk concentration, thereby improving the intelligent level of the soymilk machine.
Detailed Description
Embodiments of the big data analysis based regulatory mechanism of the present invention will be described in detail below.
The soybean milk machine is controlled by a microcomputer, full automation of preheating, pulping, soybean milk boiling and delayed boiling processes is realized, and particularly, as a processing program of 'slow fire boiling' is added, the soybean milk is richer in nutrition and more fragrant in taste.
With the increasing emphasis on health, many families choose to make soybean milk for cleanness and sanitation, and thus the market of the household microcomputer full-automatic soybean milk machine is pulled. The soybean milk has high nutritive value, and is an ideal health food. According to the introduction of experts, the soybean milk contains various high-quality proteins, various vitamins, various amino acids necessary for human bodies, various trace elements and the like. The health-care tea is suitable for adults, old people and children, and is beneficial to improving the physique and the immunity and preventing and treating diseases as long as the people insist on drinking. The soybean milk is drunk in spring and autumn, so that yin is nourished, dryness is moistened, and yin and yang are harmonized; the soybean milk is drunk in summer, so that the effects of clearing heat, preventing heatstroke, promoting fluid production and quenching thirst are achieved; the soybean milk is drunk in winter, so that the cold is removed, the stomach is warmed, and the nourishing and tonifying effects are achieved.
Currently, in the actual use process of the soymilk grinder, different users prefer different tastes, so the existing uniform soymilk concentration cannot meet the individual requirements of the users, for example, for some users who prefer light-taste soymilk for physical reasons, the thicker soymilk making mode obviously does not meet the requirements of the users.
In order to overcome the defects, the invention builds a regulation and control mechanism based on big data analysis, and can effectively solve the corresponding technical problem.
The big data analysis-based regulation mechanism shown according to the embodiment of the invention comprises:
and the state identification equipment is connected with the lithium battery and used for detecting the current state of the lithium battery and sending an operation identification signal when the current state of the lithium battery is in an operation state.
Next, the detailed structure of the big data analysis-based control mechanism of the present invention will be further described.
In the big data analysis-based regulation and control mechanism:
the state identification equipment is also used for sending a dormancy identification signal when the current state of the lithium battery is in a dormancy state.
The big data analysis-based regulation and control mechanism can further comprise:
the grade analyzing equipment is respectively connected with the state identifying equipment and the lithium battery and is used for analyzing the residual electric quantity of the lithium battery in real time when the operation identifying signal is received and determining the corresponding residual electric quantity grade based on the analyzed electric quantity value;
in the grade analyzing device, the analyzed electric quantity value is in direct proportion to the grade of the residual electric quantity;
the grade analyzing equipment is also used for stopping analyzing the residual electric quantity of the lithium battery in real time when the dormancy identification signal is received, and setting the grade of the residual electric quantity to be zero;
the button camera is arranged in the shell of the soymilk machine and is used for carrying out camera shooting operation on the front of the soymilk machine so as to obtain and output a corresponding front shell image;
the field correction equipment is connected with the button camera and used for receiving the front image of the shell and executing color correction processing on the front image of the shell so as to obtain and output a corresponding field correction image;
the statistical sorting filtering equipment is connected with the field correction equipment and is used for performing statistical sorting filtering processing on the received field correction image so as to obtain and output a corresponding statistical sorting filtering image;
the histogram equalization equipment is connected with the statistical sorting filtering equipment and is used for receiving the statistical sorting filtering image and executing histogram equalization processing on the statistical sorting filtering image so as to obtain and output a corresponding histogram processing image;
the morphological processing equipment is connected with the histogram equalization equipment and is used for executing morphological processing of expansion and corrosion on the received histogram processing image so as to obtain and output a corresponding real-time processing image;
the user identification equipment is connected with the morphological processing equipment and is used for carrying out facial feature analysis on the facial area with the minimum depth of field value in the real-time processing image so as to obtain a corresponding user number;
the dose control device is arranged in the soymilk machine, is connected with the user identification device and is used for determining the soymilk concentration corresponding to the user number when receiving the user number so as to control the soymilk modulation of the soymilk machine based on the determined soymilk concentration;
the EDO DRAM storage equipment is respectively connected with the histogram equalization equipment and the morphology processing equipment and is used for storing the real-time processing image;
the statistical sorting filtering device, the histogram equalization device and the morphology processing device are all connected with the level analysis device and are used for entering a power saving state when the level of the received residual electric quantity is less than or equal to a preset level threshold value, and otherwise, entering a working state;
wherein the morphological processing device directly outputs the shell front image as a real-time processing image in a power saving state.
The big data analysis-based regulation and control mechanism can further comprise:
and the content analysis equipment is connected with the morphological processing equipment and used for receiving the real-time processing image, detecting the bright points in the real-time processing image to acquire each bright point area in the real-time processing image, and determining the position of the centroid of each bright point area in the real-time processing image based on the position of each bright point area in the real-time processing image and the position of the centroid of each bright point area in the bright point area.
The big data analysis-based regulation and control mechanism can further comprise:
and the shape analysis device is connected with the content analysis device and used for receiving each position of each centroid in the real-time processing image and determining the shape of the filtering frame body based on each position of each centroid, wherein the more the centroids are, the smaller the extension length of the filtering frame body is.
The big data analysis-based regulation and control mechanism can further comprise:
the selective filtering device is respectively connected with the content analysis device and the shape analysis device, and is used for receiving the real-time processing image, acquiring the red component value, the green component value and the blue component value of each pixel point in the real-time processing image, and receiving the filtering frame body so as to take each pixel point as an object pixel point to execute the following actions: taking each pixel point in a filtering frame taking the object pixel point as the center in the real-time processing image as each reference pixel point, replacing the red component value, the green component value and the blue component value of the reference pixel point which is the centroid of the brightness region with the red component value, the green component value and the blue component value of the object pixel point, averaging the red component values of the pixels in the filter frame centering on the object pixel to obtain the processed red component value of the object pixel, averaging the green component values of the respective pixels in the filter frame centering on the object pixel to obtain a processed green component value of the object pixel, and averaging the blue component values of all the pixel points in the filtering frame taking the object pixel point as the center to obtain the processed blue component value of the object pixel point.
The big data analysis-based regulation and control mechanism can further comprise:
the post-filtering processing equipment is respectively connected with the user identification equipment and the selective filtering equipment, so as to obtain a processed image corresponding to the real-time processing image based on the processed red component value, the processed green component value and the processed blue component value of each pixel point in the real-time processing image, and replace the real-time processing image with the processed image and send the processed image to the user identification equipment;
the selective filtering device comprises a data receiving sub-device, a data processing sub-device and a data sending sub-device, wherein the data receiving sub-device is connected with the data processing sub-device, and the data processing sub-device is connected with the data sending sub-device.
In the big data analysis-based regulation and control mechanism:
in the post-filter processing device, the resolution of the real-time processed image is the same as the resolution of the processed image;
wherein the content analysis device is further configured to send out a bright spot absence signal when no bright spot area is acquired in the real-time processed image.
In addition, the EDO (extended Data out) DRAM is 5% faster than the FPM because a logic circuit is provided in the EDO, whereby the EDO can read the next Data into the memory before the previous memory Data read is finished. The EDO DRAM designed as system memory is originally very expensive, and is widely used in the fifth generation of PCs simply because the PC market is demanding a product to replace FPMDRAM. The EDO video memory can work at 75MHz or higher, but the standard working frequency is 66MHz, but the speed cannot meet the requirement of a display chip.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A regulatory mechanism based on big data analysis, comprising:
and the state identification equipment is connected with the lithium battery and used for detecting the current state of the lithium battery and sending an operation identification signal when the current state of the lithium battery is in an operation state.
2. The big-data-analysis-based regulatory mechanism of claim 1, wherein:
the state identification equipment is also used for sending a dormancy identification signal when the current state of the lithium battery is in a dormancy state.
3. A big-data-analysis-based throttling mechanism as recited in claim 2, wherein the mechanism further comprises:
the grade analyzing equipment is respectively connected with the state identifying equipment and the lithium battery and is used for analyzing the residual electric quantity of the lithium battery in real time when the operation identifying signal is received and determining the corresponding residual electric quantity grade based on the analyzed electric quantity value;
in the grade analyzing device, the analyzed electric quantity value is in direct proportion to the grade of the residual electric quantity;
the grade analyzing equipment is also used for stopping analyzing the residual electric quantity of the lithium battery in real time when the dormancy identification signal is received, and setting the grade of the residual electric quantity to be zero;
the button camera is arranged in the shell of the soymilk machine and is used for carrying out camera shooting operation on the front of the soymilk machine so as to obtain and output a corresponding front shell image;
the field correction equipment is connected with the button camera and used for receiving the front image of the shell and executing color correction processing on the front image of the shell so as to obtain and output a corresponding field correction image;
the statistical sorting filtering equipment is connected with the field correction equipment and is used for performing statistical sorting filtering processing on the received field correction image so as to obtain and output a corresponding statistical sorting filtering image;
the histogram equalization equipment is connected with the statistical sorting filtering equipment and is used for receiving the statistical sorting filtering image and executing histogram equalization processing on the statistical sorting filtering image so as to obtain and output a corresponding histogram processing image;
the morphological processing equipment is connected with the histogram equalization equipment and is used for executing morphological processing of expansion and corrosion on the received histogram processing image so as to obtain and output a corresponding real-time processing image;
the user identification equipment is connected with the morphological processing equipment and is used for carrying out facial feature analysis on the facial area with the minimum depth of field value in the real-time processing image so as to obtain a corresponding user number;
the dose control device is arranged in the soymilk machine, is connected with the user identification device and is used for determining the soymilk concentration corresponding to the user number when receiving the user number so as to control the soymilk modulation of the soymilk machine based on the determined soymilk concentration;
the EDO DRAM storage equipment is respectively connected with the histogram equalization equipment and the morphology processing equipment and is used for storing the real-time processing image;
the statistical sorting filtering device, the histogram equalization device and the morphology processing device are all connected with the level analysis device and are used for entering a power saving state when the level of the received residual electric quantity is less than or equal to a preset level threshold value, and otherwise, entering a working state;
wherein the morphological processing device directly outputs the shell front image as a real-time processing image in a power saving state.
4. A big-data-analysis-based throttling mechanism as recited in claim 3, wherein the mechanism further comprises:
and the content analysis equipment is connected with the morphological processing equipment and used for receiving the real-time processing image, detecting the bright points in the real-time processing image to acquire each bright point area in the real-time processing image, and determining the position of the centroid of each bright point area in the real-time processing image based on the position of each bright point area in the real-time processing image and the position of the centroid of each bright point area in the bright point area.
5. A big-data-analysis-based steering mechanism as recited in claim 4, wherein the mechanism further comprises:
and the shape analysis device is connected with the content analysis device and used for receiving each position of each centroid in the real-time processing image and determining the shape of the filtering frame body based on each position of each centroid, wherein the more the centroids are, the smaller the extension length of the filtering frame body is.
6. A tuning mechanism based on big data analysis according to claim 5, characterized in that the mechanism further comprises:
the selective filtering device is respectively connected with the content analysis device and the shape analysis device, and is used for receiving the real-time processing image, acquiring the red component value, the green component value and the blue component value of each pixel point in the real-time processing image, and receiving the filtering frame body so as to take each pixel point as an object pixel point to execute the following actions: taking each pixel point in a filtering frame taking the object pixel point as the center in the real-time processing image as each reference pixel point, replacing the red component value, the green component value and the blue component value of the reference pixel point which is the centroid of the brightness region with the red component value, the green component value and the blue component value of the object pixel point, averaging the red component values of the pixels in the filter frame centering on the object pixel to obtain the processed red component value of the object pixel, averaging the green component values of the respective pixels in the filter frame centering on the object pixel to obtain a processed green component value of the object pixel, and averaging the blue component values of all the pixel points in the filtering frame taking the object pixel point as the center to obtain the processed blue component value of the object pixel point.
7. A tuning mechanism based on big data analysis according to claim 6, characterized in that the mechanism further comprises:
the post-filtering processing equipment is respectively connected with the user identification equipment and the selective filtering equipment, so as to obtain a processed image corresponding to the real-time processing image based on the processed red component value, the processed green component value and the processed blue component value of each pixel point in the real-time processing image, and replace the real-time processing image with the processed image and send the processed image to the user identification equipment;
the selective filtering device comprises a data receiving sub-device, a data processing sub-device and a data sending sub-device, wherein the data receiving sub-device is connected with the data processing sub-device, and the data processing sub-device is connected with the data sending sub-device.
8. A big-data-analysis-based steering mechanism as claimed in claim 7, wherein:
in the post-filter processing device, the resolution of the real-time processed image is the same as the resolution of the processed image;
wherein the content analysis device is further configured to send out a bright spot absence signal when no bright spot area is acquired in the real-time processed image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910265381.9A CN110634094A (en) | 2019-04-03 | 2019-04-03 | Big data analysis-based regulation and control mechanism |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910265381.9A CN110634094A (en) | 2019-04-03 | 2019-04-03 | Big data analysis-based regulation and control mechanism |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110634094A true CN110634094A (en) | 2019-12-31 |
Family
ID=68968291
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910265381.9A Pending CN110634094A (en) | 2019-04-03 | 2019-04-03 | Big data analysis-based regulation and control mechanism |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110634094A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111415381A (en) * | 2020-02-27 | 2020-07-14 | 刘杰 | Block chain type real-time signal processing platform |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202051534U (en) * | 2011-04-25 | 2011-11-30 | 汉王科技股份有限公司 | Intelligent drink dispenser |
| CN105147107A (en) * | 2015-10-19 | 2015-12-16 | 许昌学院 | Coffee equipment with face recognition device |
| CN107230187A (en) * | 2016-03-25 | 2017-10-03 | 北京三星通信技术研究有限公司 | The method and apparatus of multimedia signal processing |
| CN108261078A (en) * | 2018-02-12 | 2018-07-10 | 厦门盈趣科技股份有限公司 | The beverage system and method for automatic identification individual subscriber taste |
| CN108491705A (en) * | 2018-03-07 | 2018-09-04 | 深圳市益鑫智能科技有限公司 | A kind of user's on-line authentication device |
| CN109086740A (en) * | 2018-08-25 | 2018-12-25 | 李叶 | Stagewise ferry safety check mechanism |
-
2019
- 2019-04-03 CN CN201910265381.9A patent/CN110634094A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202051534U (en) * | 2011-04-25 | 2011-11-30 | 汉王科技股份有限公司 | Intelligent drink dispenser |
| CN105147107A (en) * | 2015-10-19 | 2015-12-16 | 许昌学院 | Coffee equipment with face recognition device |
| CN107230187A (en) * | 2016-03-25 | 2017-10-03 | 北京三星通信技术研究有限公司 | The method and apparatus of multimedia signal processing |
| CN108261078A (en) * | 2018-02-12 | 2018-07-10 | 厦门盈趣科技股份有限公司 | The beverage system and method for automatic identification individual subscriber taste |
| CN108491705A (en) * | 2018-03-07 | 2018-09-04 | 深圳市益鑫智能科技有限公司 | A kind of user's on-line authentication device |
| CN109086740A (en) * | 2018-08-25 | 2018-12-25 | 李叶 | Stagewise ferry safety check mechanism |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111415381A (en) * | 2020-02-27 | 2020-07-14 | 刘杰 | Block chain type real-time signal processing platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108960315B (en) | Intelligent evaluation system and method for quality of cooked meat product | |
| WO2021110066A1 (en) | Food maturity level identification method and device, and computer storage medium | |
| CN106359638B (en) | Sour pulp milk-flavored bean curd and preparation method thereof | |
| CN110634094A (en) | Big data analysis-based regulation and control mechanism | |
| CN104697111B (en) | Air-conditioner control method, control device and air conditioner | |
| CN101776612A (en) | Method and system for calculating human nutrition intake by using shooting principle | |
| CN108401186B (en) | Intelligent television display control method based on face recognition | |
| CN107220596A (en) | Estimation method of human posture based on cascade mechanism for correcting errors | |
| TW201737237A (en) | Electronic device, system and method for adjusting display device | |
| CN109539684A (en) | A kind of intelligence adjusts the method and apparatus of refrigerator temperature and humidity | |
| CN108090517A (en) | A kind of cereal recognition methods, device and computer storage media | |
| CN110801166A (en) | Control method and device of shower equipment, storage medium and shower equipment | |
| CN109847319A (en) | Instant big data analysis mechanism and method | |
| CN113808115A (en) | Big data storage type factory inspection platform | |
| CN109003246A (en) | Eye repairs graph parameter detection method | |
| CN107959756B (en) | System and method for automatically turning off electronic equipment during sleeping | |
| CN103588869A (en) | Method for extracting rice bran protein from rice bran residues | |
| CN109919965A (en) | Air volume adjustable metal hair dryer | |
| CN111493459A (en) | Adjusting method and device and wearable device | |
| Xiao et al. | Effects of flavourzyme addition on protein degradation and flavor formation in grass carp during fermentation | |
| CN109978351A (en) | A kind of vegetable assessment system based on image acquisition and processing | |
| CN107115669A (en) | A kind of eyeshield games system and its implementation | |
| CN104764697B (en) | A kind of method for judging peeled shrimp vacuum freeze drying degree | |
| CN105861255A (en) | Weak alkalization process for liquor | |
| CN109915887A (en) | Electric heater fire extinguishing strategy customization mechanism |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: 101200 no.5-1101, Xinggu District C, pingguyuan, Zhongguancun Science and Technology Park, Pinggu District, Beijing Applicant after: Bu Fenglei Address before: No.325 GANGLONG Road, Yangzhong Development Zone, Zhenjiang, Jiangsu Applicant before: Bu Fenglei |
|
| CB02 | Change of applicant information | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191231 |
|
| RJ01 | Rejection of invention patent application after publication |