CN110341651B - Intelligent instruction driving system - Google Patents

Intelligent instruction driving system Download PDF

Info

Publication number
CN110341651B
CN110341651B CN201910408676.7A CN201910408676A CN110341651B CN 110341651 B CN110341651 B CN 110341651B CN 201910408676 A CN201910408676 A CN 201910408676A CN 110341651 B CN110341651 B CN 110341651B
Authority
CN
China
Prior art keywords
image
water spraying
color correction
real
numerical 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.)
Active
Application number
CN201910408676.7A
Other languages
Chinese (zh)
Other versions
CN110341651A (en
Inventor
王昆
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhuji Qizhou Trade Co ltd
Original Assignee
Zhuji Shanzheng Network Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhuji Shanzheng Network Technology Co Ltd filed Critical Zhuji Shanzheng Network Technology Co Ltd
Priority to CN201910408676.7A priority Critical patent/CN110341651B/en
Publication of CN110341651A publication Critical patent/CN110341651A/en
Application granted granted Critical
Publication of CN110341651B publication Critical patent/CN110341651B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60SSERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S1/00Cleaning of vehicles
    • B60S1/02Cleaning windscreens, windows or optical devices
    • B60S1/46Cleaning windscreens, windows or optical devices using liquid; Windscreen washers
    • B60S1/48Liquid supply therefor
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60SSERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S1/00Cleaning of vehicles
    • B60S1/02Cleaning windscreens, windows or optical devices
    • B60S1/46Cleaning windscreens, windows or optical devices using liquid; Windscreen washers
    • B60S1/48Liquid supply therefor
    • B60S1/481Liquid supply therefor the operation of at least part of the liquid supply being controlled by electric means
    • B60S1/485Liquid supply therefor the operation of at least part of the liquid supply being controlled by electric means including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60SSERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S1/00Cleaning of vehicles
    • B60S1/02Cleaning windscreens, windows or optical devices
    • B60S1/46Cleaning windscreens, windows or optical devices using liquid; Windscreen washers
    • B60S1/48Liquid supply therefor
    • B60S1/50Arrangement of reservoir

Landscapes

  • Engineering & Computer Science (AREA)
  • Water Supply & Treatment (AREA)
  • Mechanical Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Image Processing (AREA)

Abstract

The invention relates to an intelligent instruction driving system, which comprises: the water spraying executing mechanism is used for refusing to respond to a water spraying driving instruction sent by a user to operate a water spraying key when receiving a first control instruction, and responding to a water spraying driving instruction sent by the user to operate the water spraying key when receiving a second control instruction, wherein the water spraying key is arranged on an automobile steering wheel; and the numerical value setting device is used for setting the pixel values of all the pixel points of the non-attention area in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image. The intelligent instruction driving system is safe, reliable and simple to operate. The ice distribution area in the glass water storage tank below the front end cover of the automobile is measured, so that when the ice area is too large, a water spraying driving instruction sent by a corresponding automobile user is rejected, and the damage to a water spraying pipeline is avoided.

Description

Intelligent instruction driving system
Technical Field
The invention relates to the field of intelligent control, in particular to an intelligent instruction driving system.
Background
Currently, there are several main definitions of intelligent control.
Defining one: intelligent control is the process by which an intelligent machine autonomously achieves its goals. A smart machine is defined as a machine that performs human-defined tasks, either autonomously or interactively with a human, in a structured or unstructured, familiar or unfamiliar environment.
Definition II: k.j. austroom considers that intelligence such as intuition reasoning and trial and error method possessed by human is formalized or machine-simulated and used in analysis and design of a control system, so that the intelligence of the control system is realized to a certain extent, which is intelligent control. It also considers self-adjusting control, which is a low-level embodiment of intelligent control.
Defining three: intelligent control is automatic control which can autonomously drive an intelligent machine to achieve the target of the intelligent machine without human intervention, and is also an important field for simulating human intelligence by a computer.
Defining four: the intelligent control actually only researches and simulates human intelligent activities and rules of control and information transmission processes thereof, and develops a new branch subject with a human-intelligent-simulated engineering control and information processing system.
Disclosure of Invention
The invention has the following two important points:
(1) the ice distribution area in the glass water storage tank below the front end cover of the automobile is measured, so that when the ice area is too large, a water spraying driving instruction sent by a corresponding automobile user is rejected, and the damage to a water spraying pipeline is avoided;
(2) and performing area analysis on the image to obtain a non-attention area without an attention object, and setting pixel values of all pixel points of the attention area as preset pixel values to reduce the calculation amount of subsequent processing.
According to an aspect of the present invention, there is provided an intelligent instruction driving system, the system including: and the water spraying execution mechanism is connected with the water spraying key and used for refusing to respond to a water spraying driving instruction sent by a user to operate the water spraying key when receiving the first control command.
More specifically, in the intelligent command driven system: the water spraying executing mechanism is also used for responding to a water spraying driving instruction sent by a user to operate a water spraying button when receiving a second control command, and the water spraying button is arranged on the automobile steering wheel.
More specifically, in the intelligent instruction driven system, the system further includes: the numerical value setting device is respectively connected with the region analysis device and the color correction device and is used for setting pixel values of all pixel points of a non-attention region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image; the proportion analysis equipment is respectively connected with the water spray execution mechanism and the numerical value setting equipment, and is used for extracting an ice body area in the numerical value setting image based on ice body imaging characteristics and sending a first control command when the area proportion of the ice body area occupying the numerical value setting image exceeds the limit; the proportion analysis equipment is also used for sending a second control command when the area proportion of the ice body area occupying the numerical setting image is not over the limit; the pinhole imager is arranged at the top of the glass water storage tank below the front end cover of the automobile and used for executing real-time imaging operation on the glass water storage tank so as to obtain a corresponding real-time in-tank image.
The intelligent instruction driving system is safe, reliable and simple to operate. The ice distribution area in the glass water storage tank below the front end cover of the automobile is measured, so that when the ice area is too large, a water spraying driving instruction sent by a corresponding automobile user is rejected, and the damage to a water spraying pipeline is avoided.
Detailed Description
The following will describe in detail an embodiment of the intelligent command-driven system of the present invention.
The body of a car is mounted on the frame of a chassis for the driver, passengers or cargo. The body of a passenger car or a passenger car is generally of an integral structure, and the body of a truck is generally composed of a cab and a container.
The automotive body structure mainly includes: vehicle body housings, vehicle doors, vehicle windows, vehicle front panel parts, interior and exterior vehicle body trim and vehicle body accessories, seats, and ventilation, heating, cooling, air conditioning devices, and the like. Trucks and special purpose vehicles also include cargo boxes and other equipment.
The car body shell is the installation foundation of all car body parts, and generally refers to a rigid space structure formed by main bearing elements such as longitudinal beams, transverse beams, pillars and the like and plate parts connected with the main bearing elements. Passenger car bodies mostly have a distinct framework, while passenger car bodies and truck cabs do not. The body shell typically also includes sound, heat, vibration, corrosion, sealing, etc. materials and coatings applied thereto.
At present, in cold seasons in winter or in cold regions at high latitudes, glass water in a glass water storage tank below a front end cover of an automobile is easy to freeze, and if glass water spraying operation is still performed, on one hand, glass water liquid is difficult to spray, and on the other hand, when ice water mixture is sprayed, ice slag scratches a spraying pipeline, so that subsequent use is influenced.
In order to overcome the defects, the invention builds an intelligent instruction driving system, and can effectively solve the corresponding technical problem.
The intelligent instruction driving system according to the embodiment of the invention comprises:
and the water spraying execution mechanism is connected with the water spraying key and used for refusing to respond to a water spraying driving instruction sent by a user to operate the water spraying key when receiving the first control command.
Next, the detailed configuration of the intelligent command driving system according to the present invention will be further described.
In the intelligent instruction driving system:
the water spraying executing mechanism is also used for responding to a water spraying driving instruction sent by a user to operate a water spraying button when receiving a second control command, and the water spraying button is arranged on the automobile steering wheel.
The intelligent instruction driving system can further comprise:
the numerical value setting device is respectively connected with the region analysis device and the color correction device and is used for setting pixel values of all pixel points of a non-attention region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image;
the proportion analysis equipment is respectively connected with the water spray execution mechanism and the numerical value setting equipment, and is used for extracting an ice body area in the numerical value setting image based on ice body imaging characteristics and sending a first control command when the area proportion of the ice body area occupying the numerical value setting image exceeds the limit;
the proportion analysis equipment is also used for sending a second control command when the area proportion of the ice body area occupying the numerical setting image is not over the limit;
the pinhole imager is arranged at the top of the glass water storage tank below the front end cover of the automobile and is used for executing real-time imaging operation on the glass water storage tank so as to obtain a corresponding real-time in-tank image;
the edge sharpening device is arranged at the top of the glass water storage tank, is connected with the pinhole imager, and is used for carrying out edge sharpening on the received real-time in-tank image so as to obtain and output a corresponding edge sharpened image;
the color correction device is connected with the edge sharpening device and used for executing color correction processing on the received edge sharpened image so as to obtain and output a corresponding color correction image;
the parameter extraction equipment is connected with the color correction equipment and used for receiving the color correction image, acquiring the area of each object pattern in the color correction image, taking the object pattern with the area close to the ice body area threshold value as a to-be-processed subimage, carrying out shape analysis on the to-be-processed subimage to obtain a plurality of geometric features of an object in the to-be-processed subimage, and respectively carrying out normalization processing on the geometric features to obtain a plurality of normalized features;
the signal detection equipment is connected with the parameter extraction equipment and used for receiving the plurality of normalization features and inputting the plurality of normalization features into a multi-input single-output deep neural network which is trained and tested in advance to obtain an output object type so as to determine whether ice exists or not, wherein the number of the normalization features is the same as that of the input parameters of the deep neural network;
the region analysis device is connected with the signal detection device and used for outputting an image region except the sub-image to be processed in the color correction image as a non-attention region when the ice body is determined to exist;
wherein, in the proportion analysis equipment, the number of the ice body areas is one or more.
The intelligent instruction driving system can further comprise:
the SDRAM storage device is connected with the numerical value setting device and used for receiving the numerical value setting image and temporarily storing the numerical value setting image;
and the SDRAM storage equipment is also connected with the area analysis equipment and is used for temporarily storing the non-concerned area.
The intelligent instruction driving system can further comprise:
the oscillation extraction equipment is arranged near the pinhole imager, is connected with the pinhole imager, and is used for receiving the real-time in-tank image and determining the maximum oscillation value of noise with the distribution range exceeding the number of preset pixel points in the real-time in-tank image;
the image slice analyzing device is connected with the oscillation extracting device and used for receiving the maximum oscillation value and carrying out average image slice segmentation processing on the real-time in-tank image based on the maximum oscillation value so as to obtain a plurality of image slices; in the image slice analyzing apparatus, the larger the maximum oscillation value is, the more image slices obtained by performing average image slice segmentation processing on the real-time in-tank image are.
The intelligent instruction driving system can further comprise:
an object counting device connected with the image slice analysis device and used for receiving the plurality of image slices, determining the number of the objects in the real-time in-can images involved in each image slice, and outputting the image slice with the largest number of the objects in the real-time in-can images involved as a high-value image slice;
and the object identification device is respectively connected with the oscillation extraction device and the object counting device and is used for identifying each object in the real-time in-tank image and sending each object to the object counting device.
The intelligent instruction driving system can further comprise:
the first adjusting device is connected with the object counting device and used for executing Laplace filtering processing on the high-value image slice to obtain a corresponding first adjusting image;
the second adjusting device is connected with the first adjusting device and used for performing corresponding color level adjustment on the first adjusting image and outputting an adjusted second adjusting image;
and the third adjusting device is connected with the second adjusting device and used for carrying out corresponding edge enhancement adjustment on the second adjusting image and outputting the adjusted third adjusting image.
In the intelligent instruction driving system:
the third adjusting device is further connected with the edge sharpening device and used for replacing the real-time in-tank image with the third adjusting image and sending the third adjusting image to the edge sharpening device
The image slice analyzing device comprises a data receiving sub-device, a segmentation processing sub-device and an image output sub-device.
In the intelligent instruction driving system:
in the image slice analyzing device, the segmentation processing sub-device is respectively connected with the data receiving sub-device and the image output sub-device;
wherein, in the image slice parsing apparatus, the segmentation processing sub-apparatus is configured to perform an average image slice segmentation process on the real-time in-tank image based on the maximum oscillation value to obtain a plurality of image slices.
In addition, the SDRAM, i.e. Synchronous Dynamic Random Access Memory, is a Synchronous Dynamic Random Access Memory, where the synchronization refers to that a Synchronous clock is required for Memory operation, and the transmission of internal commands and data transmission are based on the Synchronous clock; dynamic means that the memory array needs to be refreshed continuously to ensure that data is not lost; random means that data are not stored linearly and sequentially, but data are read and written by freely appointing addresses. The clock frequency of the SDR SDRAM is the frequency of data storage. The operating voltage of the SDRAM is 3.3V.
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 (4)

1. An intelligent command driven system, comprising:
the water spraying execution mechanism is connected with the water spraying key and used for refusing to respond to a water spraying driving instruction sent by a user to operate the water spraying key when receiving the first control command;
the water spraying executing mechanism is also used for responding to a water spraying driving instruction sent by a user to operate a water spraying key when receiving a second control command, and the water spraying key is arranged on the automobile steering wheel;
the numerical value setting device is respectively connected with the region analysis device and the color correction device and is used for setting pixel values of all pixel points of a non-concerned region in the color correction image to be preset pixel values so as to obtain a numerical value setting image corresponding to the color correction image;
the proportion analysis equipment is respectively connected with the water spray execution mechanism and the numerical value setting equipment, and is used for extracting an ice body area in the numerical value setting image based on ice body imaging characteristics and sending a first control command when the area proportion of the ice body area occupying the numerical value setting image exceeds the limit;
the proportion analysis equipment is also used for sending a second control command when the area proportion of the ice body area occupying the numerical setting image is not over the limit;
the pinhole imager is arranged at the top of the glass water storage tank below the front end cover of the automobile and is used for executing real-time imaging operation on the glass water storage tank so as to obtain a corresponding real-time in-tank image;
the edge sharpening device is arranged at the top of the glass water storage tank, is connected with the pinhole imager, and is used for carrying out edge sharpening on the received real-time in-tank image so as to obtain and output a corresponding edge sharpened image;
the color correction device is connected with the edge sharpening device and used for executing color correction processing on the received edge sharpened image so as to obtain and output a corresponding color correction image;
the parameter extraction equipment is connected with the color correction equipment and used for receiving the color correction image, acquiring the area of each object pattern in the color correction image, taking the object pattern with the area close to the ice body area threshold value as a to-be-processed subimage, carrying out shape analysis on the to-be-processed subimage to obtain a plurality of geometric features of an object in the to-be-processed subimage, and respectively carrying out normalization processing on the geometric features to obtain a plurality of normalized features;
the signal detection equipment is connected with the parameter extraction equipment and used for receiving the plurality of normalization features and inputting the plurality of normalization features into a multi-input single-output deep neural network which is trained and tested in advance to obtain an output object type so as to determine whether ice exists or not, wherein the number of the normalization features is the same as that of the input parameters of the deep neural network;
the region analysis device is connected with the signal detection device and used for outputting an image region except the sub-image to be processed in the color correction image as a non-attention region when the ice body is determined to exist;
wherein, in the proportion analysis equipment, the number of the ice body areas is one or more.
2. The intelligent command driven system of claim 1, further comprising:
the SDRAM storage device is connected with the numerical value setting device and used for receiving the numerical value setting image and temporarily storing the numerical value setting image;
and the SDRAM storage equipment is also connected with the area analysis equipment and is used for temporarily storing the non-concerned area.
3. The intelligent command driven system of claim 2, further comprising:
the oscillation extraction equipment is arranged near the pinhole imager, is connected with the pinhole imager, and is used for receiving the real-time in-tank image and determining the maximum oscillation value of noise with the distribution range exceeding the number of preset pixel points in the real-time in-tank image;
the image slice analyzing device is connected with the oscillation extracting device and used for receiving the maximum oscillation value and carrying out average image slice segmentation processing on the real-time in-tank image based on the maximum oscillation value so as to obtain a plurality of image slices; in the image slice analyzing apparatus, the larger the maximum oscillation value is, the more image slices obtained by performing average image slice segmentation processing on the real-time in-tank image are.
4. The intelligent command driven system of claim 3, further comprising:
an object counting device connected with the image slice analysis device and used for receiving the plurality of image slices, determining the number of the objects in the real-time in-can images involved in each image slice, and outputting the image slice with the largest number of the objects in the real-time in-can images involved as a high-value image slice;
and the object identification device is respectively connected with the oscillation extraction device and the object counting device and is used for identifying each object in the real-time in-tank image and sending each object to the object counting device.
CN201910408676.7A 2019-05-16 2019-05-16 Intelligent instruction driving system Active CN110341651B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910408676.7A CN110341651B (en) 2019-05-16 2019-05-16 Intelligent instruction driving system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910408676.7A CN110341651B (en) 2019-05-16 2019-05-16 Intelligent instruction driving system

Publications (2)

Publication Number Publication Date
CN110341651A CN110341651A (en) 2019-10-18
CN110341651B true CN110341651B (en) 2020-10-20

Family

ID=68173925

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910408676.7A Active CN110341651B (en) 2019-05-16 2019-05-16 Intelligent instruction driving system

Country Status (1)

Country Link
CN (1) CN110341651B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112028136A (en) * 2019-12-13 2020-12-04 王庆华 Idle identification system and method for sewage treatment equipment
CN111873946B (en) * 2020-03-18 2021-09-03 杭州翔毅科技有限公司 Dual mode cleaning method utilizing large data storage

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2524845B1 (en) * 2011-05-20 2014-07-09 Valeo Systèmes D'Essuyage Method and device to control power consumption in a windshield wiper unit
CN102381287A (en) * 2011-10-18 2012-03-21 奇瑞汽车股份有限公司 Cleaning device for automobile windshield and control method thereof
CN104112269B (en) * 2014-05-12 2017-07-11 北京联合大学 A kind of solar battery laser groove parameter detection method and system based on machine vision
FR3047710B1 (en) * 2016-02-11 2018-03-02 Valeo Systemes D'essuyage SYSTEM AND METHOD FOR DRIVING A DEVICE FOR CLEANING A GLASS OF A VEHICLE
CN108001410B (en) * 2016-10-31 2021-01-08 奥迪股份公司 Windshield wiper system and vehicle with same
CN107284414A (en) * 2017-05-24 2017-10-24 吉利汽车研究院(宁波)有限公司 A kind of windshield wiper control system and control method

Also Published As

Publication number Publication date
CN110341651A (en) 2019-10-18

Similar Documents

Publication Publication Date Title
US10078892B1 (en) Methods and systems for vehicle tire analysis using vehicle mounted cameras
CN110341651B (en) Intelligent instruction driving system
DE102017123822B4 (en) METHOD OF CONTROLLING AN AUTONOMOUS VEHICLE
DE102018100184A1 (en) Adaptive climate control system
DE102020102712A1 (en) FALSE ALARMS REMOVAL IN THE CLUB FORMING PHASE FOR DETECTING RADARS USING A DEEP NEURAL NETWORK
DE102020103030A1 (en) ADAPTIVE SENSOR SYSTEM FOR VEHICLES AND METHOD OF OPERATING THESE
DE102021109360A1 (en) SYSTEMS AND METHODS TO DETECT LANE MANEUVER INTENT
DE102016105577A1 (en) Data of remote sensors for vehicles
DE102022121021A1 (en) IMAGE SIGNAL PROCESSING PIPELINE FOR HIGH DYNAMIC RANGE SENSORS
DE102020128978A1 (en) TRAINING DEEP NEURAL NETWORKS WITH SYNTHETIC IMAGES
CN107461106A (en) The automated system of the closing device of motor vehicles is closed according to transmission state
DE102020106469A1 (en) PROCEDURES AND SYSTEMS FOR THE MANAGEMENT OF AUTOMATED DRIVING FUNCTIONS
CN111137249A (en) Intelligent instruction driving method
DE102021115708A1 (en) SYSTEMS AND METHODS FOR ACTIVE BLIND SPOT ASSISTANCE
DE102021110802A1 (en) SYSTEMS AND METHODS FOR DETECTING CATALYTIC REDUCTION (SCR)
DE102020101832A1 (en) PROCEDURES AND SYSTEMS FOR INTERPRETING TRAFFIC SIGNALS AND OCCURRING SIGNALED INTERSECTIONS
DE102022117260A1 (en) VEHICLE DETERMINING FULL SPEED WITH RADAR
DE102022114511A1 (en) Resting the state to optimize start-up processes of autonomous vehicles
DE102021109536A1 (en) Proactive headlight tracking for the vehicle's automatic high-beam assistant
DE102020127253A1 (en) QUANTIFYING PHOTOREALISM IN SIMULATED DATA WITH GAN
DE102021129887A1 (en) PREDICTIVE ASSESSMENT OF DRIVER ATTENTION
DE102020126154A1 (en) CERTIFIED ROBUSTNESS AGAINST ADVERSARY ATTACKS FOR DEEP REINFORCING LEARNING
EP3375646B1 (en) Ability to associate a tyre sensor to a tyre position
US20230368345A1 (en) Viewing system to dynamic real time optimize image quality for every customer viewport
DE102017116321A1 (en) DEHUMIDIFICATION OF AIR TURBULENCE FOR VEHICLES

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
CB02 Change of applicant information

Address after: 213023 No.66 Xinggang Road, Zhonglou Economic Development Zone, Changzhou City, Jiangsu Province

Applicant after: Wang Kun

Address before: 410000 No. 200 Lulong Road, Changsha High-tech Development Zone, Hunan Province

Applicant before: Wang Kun

TA01 Transfer of patent application right

Effective date of registration: 20200918

Address after: Room 817, 8 / F, Furun building, 16 Xiangyun Road, Taozhu street, Zhuji City, Shaoxing City, Zhejiang Province

Applicant after: Zhuji Shanzheng Network Technology Co.,Ltd.

Address before: 213023 No.66 Xinggang Road, Zhonglou Economic Development Zone, Changzhou City, Jiangsu Province

Applicant before: Wang Kun

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20220601

Address after: 311800 No.208, baiduwu village, Lipu Town, Zhuji City, Shaoxing City, Zhejiang Province

Patentee after: Zhuji Qizhou Trade Co.,Ltd.

Address before: Room 817, 8 / F, Furun building, 16 Xiangyun Road, Taozhu street, Zhuji City, Shaoxing City, Zhejiang Province 311800

Patentee before: Zhuji Shanzheng Network Technology Co.,Ltd.

PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: Intelligent instruction driven system

Effective date of registration: 20230711

Granted publication date: 20201020

Pledgee: Zhejiang Zhuji Rural Commercial Bank Co.,Ltd.

Pledgor: Zhuji Qizhou Trade Co.,Ltd.

Registration number: Y2023980047977