CN104596537A - Step calculation method - Google Patents
Step calculation method Download PDFInfo
- Publication number
- CN104596537A CN104596537A CN201510051765.2A CN201510051765A CN104596537A CN 104596537 A CN104596537 A CN 104596537A CN 201510051765 A CN201510051765 A CN 201510051765A CN 104596537 A CN104596537 A CN 104596537A
- Authority
- CN
- China
- Prior art keywords
- acceleration
- walking states
- walking
- user
- parameter
- 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.)
- Granted
Links
- 238000004364 calculation method Methods 0.000 title abstract 8
- 230000001133 acceleration Effects 0.000 claims abstract description 77
- 238000000034 method Methods 0.000 claims abstract description 27
- 239000002131 composite material Substances 0.000 description 6
- 206010044565 Tremor Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000005021 gait Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 230000009469 supplementation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Measurement Of Distances Traversed On The Ground (AREA)
Abstract
The invention provides a step calculation method, which reduces the interference of body situation of a user in step calculation and improve the step calculation accuracy. The method comprises the following steps: based on a step calculation device with sound recognition function, starting walking, prompting the currently various walking states of the step calculation device, and collecting the user step parameters by a sensor; setting an acceleration threshold for step calculation; collecting the acceleration parameter during walking through the sensor, and the like. Information of walking status corresponding steps can be obtained by combining the classification of acceleration values according to the walking states and the check and countering of an envelope line, the user experience is increased, and the step calculation accuracy of the user with weak or bad body status can be improved.
Description
Technical field
The present invention relates to medical electronics technical field, more specifically, relate to a kind of step-recording method that can count the motion step number of user.
Background technology
Along with the raising of people's material and culture level, the healthy more and more thinner attention to people of individual, walking and running becomes simple one of effective mode of motion that people like.How conveniently to allow and oneself know to have walked how many steps, run distance how far, thus extrapolate oneself consume how many energy, need what nutritional supplementation, also need which type of carries out and take exercise, reach health control oneself object.
Passometer detects the acceleration of above-below direction of pedestrian by acceleration transducer, and based on this detected value change and step number or body kinematics are counted, and numerical value display is carried out to this step number counted out.In recent years, passometer can not only measure step number, to different gaits, can also detect as walked line state, running state etc.
Motion meter step software at present based on android mobile phone acceleration sensor more and more firmly gets liking of people, realize the requirement of the following user of above-mentioned target to the accuracy that software meter walks also more and more higher.People not only wish to obtain total step number, also wish the difference statistical value of the step number that can obtain accordingly under various walking states.And, current passometer and step-recording method still lack the ability that accurately can identify dissimilar user, especially for old man or the poor user of health, their stride is little, slight trembling is had when walking, producing interference to measuring the accekeration obtained, being unfavorable for calculating step number exactly.
Summary of the invention
The present invention is in order to reduce due to the interference that user's health produces when meter walks, and improve meter step precision, provide a kind of step-recording method, the method, based on the passometer with speech identifying function, comprises the following steps:
(1) user starts walking, and the multiple walking states of pointing out passometer current, gather user's paces parameter by sensor;
(2) acceleration rate threshold of meter step is set;
(3) acceleration parameter in walking process is gathered by sensor;
(4) in real time the acceleration parameter of step (3) and described acceleration rate threshold are made comparisons, judge walking states, and determine the corresponding relation of walking states and described acceleration parameter value;
(5) according to the corresponding relation of the walking states determined in step (4) and described acceleration parameter value, determine that first effectively counts step number;
(6) according to the walking states judged in step (4), determine the homologous thread of acceleration parameter and time, and obtain this envelope of curves line;
(7) calculate the crest of this envelope and the number of trough, be considered as second and effectively count step number;
(8) according to described first, effectively meter step number and second effective meter step number determine the meter step number of user under multiple walking states.
Further, described in described step (1), walking states comprises: take a walk, normal walking, power-walking, normally run, jog and hurry up.
Further, the collection user paces parameter of described step (1) comprising:
(1.1) acceleration information of user under multiple walking states is gathered;
(1.2) process described acceleration information, obtain the acceleration reference value under multiple walking states;
(1.3) corresponding relation of walking states and described acceleration reference value is determined.
Further, the acceleration reference value of described acquisition under multiple walking states comprises acceleration average, maximal value, minimum value and the first order derivative obtained under multiple walking states.
Further, described sensor is 3-axis acceleration sensor.
Further, paces parameter is included in the accekeration in three dimensions.
Further, described step (5) comprises and being compared by the corresponding relation of the corresponding relation of step (1.3) and step (4), determines that first effectively counts step number according to the meter step number at each walking states.
Further, described step (6) comprising:
(5.1) the paces cycle under this walking states is determined;
(5.2) according to the paces cycle in step (5.1), the acceleration parameter of step (3) and the homologous thread of time are divided into multiple cycle, and calculate the minimum value of acceleration parameter and the average of maximal value in each cycle respectively;
(5.3) homologous thread of described acceleration parameter and time is set up according to the average in step (5.2).
The invention has the beneficial effects as follows: combination accekeration classification process and envelope inspection counted according to walking states, obtain step number for walking states information, enrich Consumer's Experience, improve the meter step accuracy for weak or that condition is not good user simultaneously.
Accompanying drawing explanation
Fig. 1 shows process flow diagram according to a preferred embodiment of the invention.
Embodiment
As shown in Figure 1, the preferred embodiments of the present invention are a kind of step-recording methods of passometer based on having speech identifying function.Described passometer comprises voice module, the voice pre-set can be sent, comprise: " current walking states please be say ", " identifying ", " current walking states please be repeat ", " the current walking states of PLSCONFM is for taking a walk ", " the current walking states of PLSCONFM is normal walking " " PLSCONFM current walking states be power-walking ", " PLSCONFM current walking states for jogging " ,] " PLSCONFM current walking states for hurrying up ", and " PLSCONFM current walking states be normal race ".In addition, this voice module also receives voice that user sends and identifies, using the result that identifies as the foundation judging user's walking states.
This step-recording method comprises the following steps:
(1) user starts walking, and the multiple walking states of pointing out passometer current, gather user's paces parameter by sensor; Wherein gather user's paces parameter to comprise further:
(1.1) gather the acceleration information of user under multiple walking states: when the acceleration rate threshold of the various walking states of user is not yet recorded, prompting user " please say current walking states ".User makes this walking states of such as taking a walk, then, and prompting user " the current walking states of PLSCONFM is for taking a walk ".If user confirms, then the three-dimensional acceleration information now being started by three dimension acceleration sensor to detect carries out record.For comprising normal walking, power-walking, other walking states of normally running, jog and hurrying up, also confirm according to identical mode.
(1.2) described acceleration information is processed, obtain acceleration reference value under multiple walking states: when user confirm current walking states really errorless after, the accekeration of three dimensions under recorded corresponding walking states is handled as follows: the accekeration according to three dimensions carries out Vector operation, obtain resultant acceleration, as the acceleration reference value under this walking states.Preferably, often kind of accekeration all gathers the distance of under this walking states 500 meters of user or more.This distance can adopt GPS unit to calculate, and apart from pointing out user to need to continue time inadequate, also can not carry out prompting to user and not adopt GPS unit and just informing in advance user.
(1.3) corresponding relation of walking states and described acceleration reference value is determined: the current walking states determined according to step (1.1) and step (1.2) and current resultant acceleration, obtain the correspondence association of the two, and this association is stored.
(2) acceleration rate threshold of meter step is set:
(2.1) obtain according to the current walking states judged in step (1.1);
(2.2) accekeration according to three dimensions obtained in step (1.2) is obtained;
(2.3) according to the accekeration of three dimensions corresponding under this walking states of step (2.2), calculate the minimum acceleration value in three dimensions and maximum acceleration value respectively, and synthesize three dimensions respectively, thus determine the minimum composite value of the acceleration of user under each walking states and the maximum composite value of acceleration, using minimum for this acceleration composite value and the maximum composite value of acceleration as the threshold value in the dimension of three under this walking states.
(3) acceleration parameter in walking process is gathered by sensor.After completing steps (1) and step (2), the acceleration rate threshold of user under various walking states is obtained.This step is the daily process carrying out carrying out when counting step of user.Accekeration during three dimension acceleration sensor collection user's actual motion respectively in three dimensions.These values are by preferably collected with collection in every 0.1 second frequency once.The object gathered comprises the real time acceleration value of user in three dimensions as acceleration parameter value.
(4) in real time the acceleration parameter in three dimensions of step (3) is made comparisons with each acceleration rate threshold above-mentioned respectively in corresponding dimension, judge walking states.The judgement of this walking states adopts close to method, when namely judging, first the mean value of the acceleration rate threshold in each dimension under each walking states is calculated, then, the accekeration and which mean value that calculate this current dimension are closest, thus using the walking states of the walking states corresponding to the mean value of immediate threshold value as current user.Then, the accekeration (i.e. acceleration parameter value) in each corresponding with it for determined walking states dimension is saved as corresponding relation.
(5) according to the corresponding relation of the walking states determined in step (4) and described acceleration parameter value, determine that first effectively counts step number: the minimum composite value of the acceleration that the accekeration in the X-direction under current walking states is corresponding with current walking states compares (if the minimum composite value of this acceleration is less than the maximum resultant acceleration value of acceleration under other certain walking states, then calculate the mean value of this minimum value and maximal value, the accekeration in the X-direction under current walking states and this mean value are compared).If the former is greater than the latter, then think that user counts step number and should increase once.Otherwise will not increase.In like manner, the Y-axis under current walking states and the meter step number in Z-direction is also calculated respectively.If X-axis, Y-axis and Z-direction have the meter step number of both direction be all judged should increase once, then now think that first effective meter step number should increase once.
(6) according to the walking states judged in step (4), determine the homologous thread of acceleration parameter and time, and obtain this envelope of curves line; This step specifically comprises:
(6.1) determine the paces cycle under this walking states, the acquisition in this cycle obtains in the time interval by increasing between meter step number each under this state;
(6.2) according to the paces cycle in step (6.1), the acceleration parameter of step (3) and the homologous thread of time are divided into multiple cycle, and calculate the minimum value of acceleration parameter and the average of maximal value in each cycle respectively;
(6.3) homologous thread of described acceleration parameter and time is set up as envelope according to the average in step (6.2).
(7) calculate the crest of this envelope and the number of trough, be considered as second effectively counting step number under current walking states;
(8) according to described first, effectively meter step number and second effective meter step number determine the meter step number of user under multiple walking states.This final meter step number can effectively meter step number and second effective mean value counting step number obtain according to first.
According to other embodiments of the invention, the acceleration reference value of described acquisition under multiple walking states comprises acceleration average, maximal value, minimum value and the first order derivative obtained under multiple walking states.
Last it is noted that above embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in previous embodiment, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (8)
1. a step-recording method, the method, based on the passometer with speech identifying function, is characterized in that, comprises the following steps:
(1) user starts walking, and the multiple walking states of pointing out passometer current, gather user's paces parameter by sensor;
(2) acceleration rate threshold of meter step is set;
(3) acceleration parameter in walking process is gathered by sensor;
(4) in real time the acceleration parameter of step (3) and described acceleration rate threshold are made comparisons, judge walking states, and determine the corresponding relation of walking states and described acceleration parameter value;
(5) according to the corresponding relation of the walking states determined in step (4) and described acceleration parameter value, determine that first effectively counts step number;
(6) according to the walking states judged in step (4), determine the homologous thread of acceleration parameter and time, and obtain this envelope of curves line;
(7) calculate the crest of this envelope and the number of trough, be considered as second and effectively count step number;
(8) according to described first, effectively meter step number and second effective meter step number determine the meter step number of user under multiple walking states.
2. step-recording method according to claim 1, is characterized in that, described in described step (1), walking states comprises: take a walk, normal walking, power-walking, normally run, jog and hurry up.
3. step-recording method according to claim 1, is characterized in that, the collection user paces parameter of described step (1) comprising:
(1.1) acceleration information of user under multiple walking states is gathered;
(1.2) process described acceleration information, obtain the acceleration reference value under multiple walking states;
(1.3) corresponding relation of walking states and described acceleration reference value is determined.
4. step-recording method according to claim 3, is characterized in that, the acceleration reference value of described acquisition under multiple walking states comprises acceleration average, maximal value, minimum value and the first order derivative obtained under multiple walking states.
5. step-recording method according to claim 1, is characterized in that, described sensor is 3-axis acceleration sensor.
6. step-recording method according to claim 1, is characterized in that, paces parameter is included in the accekeration in three dimensions.
7. step-recording method according to claim 1, it is characterized in that, described step (5) comprises and being compared by the corresponding relation of the corresponding relation of step (1.3) and step (4), determines that first effectively counts step number according to the meter step number at each walking states.
8. step-recording method according to claim 1, is characterized in that, described step (6) comprising:
(5.1) the paces cycle under this walking states is determined;
(5.2) according to the paces cycle in step (5.1), the acceleration parameter of step (3) and the homologous thread of time are divided into multiple cycle, and calculate the minimum value of acceleration parameter and the average of maximal value in each cycle respectively;
(5.3) homologous thread of described acceleration parameter and time is set up according to the average in step (5.2).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510051765.2A CN104596537B (en) | 2015-02-02 | 2015-02-02 | A kind of step-recording method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510051765.2A CN104596537B (en) | 2015-02-02 | 2015-02-02 | A kind of step-recording method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104596537A true CN104596537A (en) | 2015-05-06 |
| CN104596537B CN104596537B (en) | 2017-12-29 |
Family
ID=53122473
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510051765.2A Active CN104596537B (en) | 2015-02-02 | 2015-02-02 | A kind of step-recording method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104596537B (en) |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104949685A (en) * | 2015-05-22 | 2015-09-30 | 邓伟廷 | Method and device capable of realizing accurate step counting in multi-mode multi-part manner |
| CN105004349A (en) * | 2015-06-30 | 2015-10-28 | 深圳市元征科技股份有限公司 | Step calculation method |
| CN105890620A (en) * | 2016-04-06 | 2016-08-24 | 广东欧珀移动通信有限公司 | Step counting method and mobile terminal |
| CN106289311A (en) * | 2016-08-04 | 2017-01-04 | 北京妙医佳信息技术有限公司 | A kind of motion duration and the detection method of distance |
| CN106323326A (en) * | 2015-07-03 | 2017-01-11 | 群光电子股份有限公司 | Counting apparatus based on speedometer and counting method based on speedometer |
| CN106500718A (en) * | 2016-10-18 | 2017-03-15 | 江西博瑞彤芸科技有限公司 | Step number assay method |
| CN107122167A (en) * | 2017-03-14 | 2017-09-01 | 广东小天才科技有限公司 | Use reminding method and device of mobile equipment |
| CN107270932A (en) * | 2017-07-25 | 2017-10-20 | 电子科技大学 | Automatic step-recording method for terminal device |
| CN107727110A (en) * | 2017-09-11 | 2018-02-23 | 上海斐讯数据通信技术有限公司 | The statistical method and device of a kind of step number |
| CN107747950A (en) * | 2017-09-28 | 2018-03-02 | 上海惠芽信息技术有限公司 | Step recording method and device |
| CN108984562A (en) * | 2017-06-02 | 2018-12-11 | 四川理工学院 | A kind of exercise data statistical system and method based on Android platform |
| CN109452728A (en) * | 2017-04-12 | 2019-03-12 | 佛山市丈量科技有限公司 | A kind of Intelligent insole and its step size computation method based on step size computation |
| CN107314777B (en) * | 2017-06-28 | 2020-01-17 | 厦门美图移动科技有限公司 | Method for dynamically setting step counting threshold value and mobile terminal |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1206337A (en) * | 1996-09-10 | 1999-01-27 | 精工爱普生株式会社 | Organism state measuring device and relaxation instructing device |
| US20070143068A1 (en) * | 2005-10-03 | 2007-06-21 | Stmicroelectronics S.R.L. | Pedometer device and step detection method using an algorithm for self-adaptive computation of acceleration thresholds |
| CN102818913A (en) * | 2012-07-31 | 2012-12-12 | 宋子健 | Detection device and detection method for human motion information |
| CN103445792A (en) * | 2011-12-31 | 2013-12-18 | 北京超思电子技术股份有限公司 | Step metering method |
| CN103727954A (en) * | 2013-12-27 | 2014-04-16 | 北京超思电子技术股份有限公司 | Pedometer |
| CN104089624A (en) * | 2014-07-18 | 2014-10-08 | 赵佳 | Step counting method and terminal device |
-
2015
- 2015-02-02 CN CN201510051765.2A patent/CN104596537B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1206337A (en) * | 1996-09-10 | 1999-01-27 | 精工爱普生株式会社 | Organism state measuring device and relaxation instructing device |
| US20070143068A1 (en) * | 2005-10-03 | 2007-06-21 | Stmicroelectronics S.R.L. | Pedometer device and step detection method using an algorithm for self-adaptive computation of acceleration thresholds |
| CN103445792A (en) * | 2011-12-31 | 2013-12-18 | 北京超思电子技术股份有限公司 | Step metering method |
| CN102818913A (en) * | 2012-07-31 | 2012-12-12 | 宋子健 | Detection device and detection method for human motion information |
| CN103727954A (en) * | 2013-12-27 | 2014-04-16 | 北京超思电子技术股份有限公司 | Pedometer |
| CN104089624A (en) * | 2014-07-18 | 2014-10-08 | 赵佳 | Step counting method and terminal device |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104949685B (en) * | 2015-05-22 | 2018-04-27 | 邓伟廷 | The method and its device of accurate meter step can be realized in multi-mode multiple location |
| CN104949685A (en) * | 2015-05-22 | 2015-09-30 | 邓伟廷 | Method and device capable of realizing accurate step counting in multi-mode multi-part manner |
| CN105004349A (en) * | 2015-06-30 | 2015-10-28 | 深圳市元征科技股份有限公司 | Step calculation method |
| CN106323326A (en) * | 2015-07-03 | 2017-01-11 | 群光电子股份有限公司 | Counting apparatus based on speedometer and counting method based on speedometer |
| CN105890620A (en) * | 2016-04-06 | 2016-08-24 | 广东欧珀移动通信有限公司 | Step counting method and mobile terminal |
| CN106289311A (en) * | 2016-08-04 | 2017-01-04 | 北京妙医佳信息技术有限公司 | A kind of motion duration and the detection method of distance |
| CN106500718A (en) * | 2016-10-18 | 2017-03-15 | 江西博瑞彤芸科技有限公司 | Step number assay method |
| CN107122167A (en) * | 2017-03-14 | 2017-09-01 | 广东小天才科技有限公司 | Use reminding method and device of mobile equipment |
| CN109452728A (en) * | 2017-04-12 | 2019-03-12 | 佛山市丈量科技有限公司 | A kind of Intelligent insole and its step size computation method based on step size computation |
| CN108984562A (en) * | 2017-06-02 | 2018-12-11 | 四川理工学院 | A kind of exercise data statistical system and method based on Android platform |
| CN108984562B (en) * | 2017-06-02 | 2022-03-08 | 四川理工学院 | Motion data statistical system and method based on Android platform |
| CN107314777B (en) * | 2017-06-28 | 2020-01-17 | 厦门美图移动科技有限公司 | Method for dynamically setting step counting threshold value and mobile terminal |
| CN107270932A (en) * | 2017-07-25 | 2017-10-20 | 电子科技大学 | Automatic step-recording method for terminal device |
| CN107727110A (en) * | 2017-09-11 | 2018-02-23 | 上海斐讯数据通信技术有限公司 | The statistical method and device of a kind of step number |
| WO2019047410A1 (en) * | 2017-09-11 | 2019-03-14 | 上海斐讯数据通信技术有限公司 | Method and apparatus for counting the number of steps |
| CN107747950A (en) * | 2017-09-28 | 2018-03-02 | 上海惠芽信息技术有限公司 | Step recording method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104596537B (en) | 2017-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104596537A (en) | Step calculation method | |
| CN104406603B (en) | A kind of step-recording method and device based on acceleration transducer | |
| CN103712632B (en) | A kind of step-recording method based on 3 axle accelerometers and pedometer | |
| US20200329999A1 (en) | Accelerometer-based gait analysis | |
| CN102654405B (en) | Gait counting method and device based on acceleration sensor | |
| CN109222329B (en) | Walking length calculating method and intelligent insole configured with same | |
| CN106510658B (en) | A kind of human body emotion judgment method based on bracelet | |
| CN107343789B (en) | Step motion identification method based on three-axis acceleration sensor | |
| CN104007822A (en) | Large database based motion recognition method and device | |
| WO2011146586A1 (en) | Wireless sensor based quantitative falls risk assessment | |
| WO2016180653A1 (en) | Pedometer and method for analyzing motion data | |
| TW201214292A (en) | Automatic identifying method for exercise mode | |
| CN102445214A (en) | Step counting method based on 3D gravity sensor of smart phone | |
| CN106067001A (en) | A kind of action identification method and system | |
| CN106534593A (en) | Alarm clock reminding method and mobile terminal | |
| CN107393260A (en) | A kind of sitting based reminding method, device and wrist type sitting reminiscences | |
| CN113192654A (en) | Exercise heart rate tracking method, device, equipment and storage medium | |
| CN105530581A (en) | Smart wearable device based on voice recognition and control method thereof | |
| CN117594181A (en) | Method and system for generating health report based on data detection | |
| CN116491935A (en) | Exercise health monitoring method, system and medium of intelligent wearable equipment | |
| CN110201375A (en) | A kind of method, apparatus, equipment and the readable storage medium storing program for executing of wireless headset step counting | |
| CN113749650A (en) | Motion information acquisition method and device | |
| CN113729693B (en) | Motion intensity detection method, device, equipment and medium based on artificial intelligence | |
| KR20160109712A (en) | Method for controlling terminal providing pedometer function and terminal thereof | |
| CN109696175A (en) | A kind of step counting detection method and system based on wrist type device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Lin Lianhua Inventor before: Zhang Xin |
|
| CB03 | Change of inventor or designer information | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20171205 Address after: No. 132, banyan West Road, pan wild village, Changle City, Changle City, Fujian Applicant after: Lin Lianhua Address before: 610041 No. two, No. 1, Keyuan garden, hi tech Zone, Sichuan, Chengdu Applicant before: CHENGDU XINGXUAN TECHNOLOGY Co.,Ltd. |
|
| 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: 20181026 Address after: 233010 409 Wu Wan Road, Yuhui District, Bengbu, Anhui Patentee after: BENGBU JINSHI NEW MATERIAL Co.,Ltd. Address before: 230031 B-1014, 10 floor, business office building, Wo Ye garden, Shushan District, Hefei, Anhui. Patentee before: HEFEI WISDOM LOTUT INTELLECTUAL PROPERTY Co.,Ltd. Effective date of registration: 20181026 Address after: 230031 B-1014, 10 floor, business office building, Wo Ye garden, Shushan District, Hefei, Anhui. Patentee after: HEFEI WISDOM LOTUT INTELLECTUAL PROPERTY Co.,Ltd. Address before: 350299 No. 132, banhang West Road, panhang village, Changle City, Fuzhou, Fujian Patentee before: Lin Lianhua |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20190510 Address after: 221000 High-tech Venture Service Center, North Jiawang District, Suzhou Avenue, Jiawang District, Xuzhou City, Jiangsu Province Patentee after: Xuzhou Jiawang District Xinyuan Zhongchuang Technology Incubator Co.,Ltd. Address before: 233010 409 Wu Wan Road, Yuhui District, Bengbu, Anhui Patentee before: BENGBU JINSHI NEW MATERIAL Co.,Ltd. |
|
| TR01 | Transfer of patent right |