CN104122111B - A kind of three class comprehensive safety method for early warning of bridge structure - Google Patents
A kind of three class comprehensive safety method for early warning of bridge structure Download PDFInfo
- Publication number
- CN104122111B CN104122111B CN201410394468.3A CN201410394468A CN104122111B CN 104122111 B CN104122111 B CN 104122111B CN 201410394468 A CN201410394468 A CN 201410394468A CN 104122111 B CN104122111 B CN 104122111B
- Authority
- CN
- China
- Prior art keywords
- police
- monitoring data
- data
- reported
- bridge
- 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
Links
Landscapes
- Alarm Systems (AREA)
Abstract
The invention discloses three class comprehensive safety method for early warning of a kind of bridge structure, relate to bridge structure safe monitoring technical field.Three kinds of comprehensive pre-warning modes that the method uses safe clearance to report to the police, stationarity is reported to the police and dependency is reported to the police, particularly as follows: 1) determine the concrete monitoring point of certain Monitoring Data relevant with bridge structure safe to be measured and bridge to be measured；2) Monitoring Data of front i for analyzing warning is determined；3) divide and add up the Monitoring Data of this monitoring point by certain time interval, and calculate the data mean value on each time period；4) the jth time period determining i+1 year is the time period to be analyzed；5) safe clearance is reported to the police；6) stationarity is reported to the police；7) dependency is reported to the police；8) the bridge security problem that various alarm condition are corresponding is processed.The present invention proposes bridge security evaluate efficiency index from safe clearance, stationarity, three angle of dependency, sets up Modular Bridge System three class comprehensive safety early warning mechanism, and the maintenance management for bridge provides important reference.
Description
Technical field
The present invention relates to bridge structure safe monitoring technical field, particularly to the three pre-police of class comprehensive safety of a kind of bridge structure
Method.
Background technology
In recent years, along with rapid development of economy, whole nation volume of traffic abruptly increase, the design load of many bridges can not meet existing
The use requirement of vehicular load, the security situation of bridge structure is the severeest.In order to ensure the structural safety in the bridge operation phase,
Bridge must be carried out health monitoring, set up safe early warning mechanism, prevent the generation of the major accidents such as bridge collapse.
Due to complexity and the particularity of safety appraisement of structure of bridge structure itself and local environment, existing structural safety is commented
There is bigger limitation in valency method, fails in actual applications to obtain gratifying effect, be mainly reflected in following some:
1) existing bridge structure safe based on model is evaluated mechanism and is derived from branch of mechanics, and its evaluation procedure depends critically upon
The accurate Theory model of structure and the system incentive determined；But the serious loss of old bridge data and bridge structure parameter were being run
Being continually changing so that setting up of structure accurate model is extremely difficult in journey, adds random environment excitation in bridge structure health inspection
Non-intellectual so that safety appraisement of structure based on model runs into the obstacle being difficult to go beyond.
2) though evaluation methodology based on statistical analysis has obtained attention progressively, but its research and application are still located in the early stage；Bridge chi
Very little huge, structure is complicated, and vibration amplitude is the lowest, and the dynamic characteristics that statistical analysis is generally used easily is flooded by environment noise
Or insensitive to local damage, and bridge structure safe evaluation is not connected effectively with environmental characteristics, its evaluation effect
Also cannot meet engine request.
3) although neutral net has excellent performance when processing nonlinear problem, but owing to lacking complete training sample, nothing
Method sets up reliable causal connection between structural response and safe condition.
4) current safety evaluation uses single method or single parameter to be analyzed mostly, the uncertainty of environmental effect with
And the imperfection of test data makes monitored parameters fail comprehensively to reflect the safe condition of structure.
The existence of the problems referred to above so that there is presently no a kind of gratifying bridge security overall evaluation system.Analyze from above
Understanding, owing to the composition of bridge structure itself is extremely complex, its performance is easily subject to the impact of the various factors of structure local environment,
The appraisal making structural safety is the most difficult.Although the evaluation methodology currently for bridge structure safe has a lot, but by
In a variety of causes, these evaluation methodologys have itself intrinsic defect, the most not yet achieve satisfactory results.
Summary of the invention
In view of this, it is an object of the invention to overcome above-mentioned deficiency, it is provided that the three pre-police of class comprehensive safety of a kind of bridge structure
Method, the method considers the early warning situation of bridge by safe clearance, stationarity and three aspects of dependency.
It is an object of the invention to be achieved through the following technical solutions:
Three class comprehensive safety method for early warning of a kind of bridge structure, use safe clearance warning, stationarity to report to the police and dependency are reported to the police
Three kinds of comprehensive pre-warning modes, method particularly includes:
1) the concrete monitoring point of certain Monitoring Data relevant with bridge structure safe to be measured and bridge to be measured is determined；
2) Monitoring Data of front i for analyzing warning, i >=2 are chosen；
3) divide and add up the Monitoring Data of this monitoring point by certain time interval, and it is equal to calculate the data on each time period
Value；
4) the jth time period determining i+1 year is the time period to be analyzed；
5) safe clearance is reported to the police: definition safe clearance index, determines the benchmark data of safe clearance, according to the jth in i+1 year
The real data of individual time period judges whether to need safe clearance to report to the police；
6) stationarity is reported to the police: definition riding index, determines the benchmark data of stationarity, according to the jth time in i+1 year
The real data of section judges whether to need stationarity to report to the police；
7) dependency is reported to the police: Monitoring Data carries out cross-correlation analysis, according to condition extracts the Monitoring Data reference each other of two passages
Object, and report to the police and stationarity alarm condition according to the safe clearance of these two kinds of channel monitoring data, it may be judged whether need dependency
Report to the police；
8) the bridge security problem that various alarm condition are corresponding is processed.
Further, step 1) described in Monitoring Data be crack data, strain data, inclination data, deflection data,
Displacement data, acceleration information or cable force monitoring data.
Further, step 2) described in time in certain intervals divide, its division methods includes monthly dividing, quarterly
Divide or by year divide.
Further, step 5) warning of described safe clearance method particularly includes:
Before 5-1) obtaining, the matrix of certain Monitoring Data average of i is:WhereinWhen representing 1 year jth
Between the Monitoring Data average of section；
5-2) definition bridge monitoring data safe clearance indexWherein ysIt is the allowable value of this kind of Monitoring Data,
Represent the safe clearance of 1 year jth time period.
5-3) with the Monitoring Data average of the whole section of First YearFor the original state of bridge structure, definitionOn the basis of；
5-4) judge that the jth time period in i+1 year is the need of warning: whenTime, system yellow alarm；
WhenTime, system red alarm；
Wherein, k1、k2Occurrence determines according to the original state of the Monitoring Data duration chosen and bridge structure, k1＞ k2。
Further, step 6) warning of described stationarity method particularly includes:
Before 6-1) obtaining, the matrix of certain Monitoring Data average of i is:WhereinWhen representing 1 year jth
Between the Monitoring Data average of section；
6-2) define the property index of bridge security Represent the stationarity of 1 year jth moon, matrix can be obtained
6-3) orderM=i-1, then have Criterion-matrix
6-4) judge that the jth time period in i+1 year is the need of warning: whenTime, yellow alarm；When
Time, red alarm；
Wherein, k3、k4Occurrence determines according to the original state of the Monitoring Data duration chosen and bridge structure, k3＜ k4。
Further, step 7) described dependency reports to the police method particularly includes: take cross-correlation coefficient absolute value the highest and >=0.6
The Monitoring Data of two passages is each other with reference to the references object of group；
Only have a certain passage that first kind warning or Equations of The Second Kind warning occur in reference to group, or the most a certain channel data occurs simultaneously
When the first kind and Equations of The Second Kind are reported to the police, investigation cross-correlation coefficient absolute value:
If cross-correlation coefficient absolute value drop-out value is higher than 0.2 or drops below 0.4, system alert is likely to occur sensor and adopts
Number distortion fault；
If the change of cross-correlation coefficient absolute value is little, then system trigger dependency is reported to the police；
When in reference group, two passages each the first kind occur or/and Equations of The Second Kind is reported to the police, system trigger dependency is reported to the police.
It is an advantage of the current invention that: by the statistical analysis to bridge monitoring mass data, extract the feature about structural safety and believe
Breath, the development law of mining structure performance, have from safe clearance, stationarity, three angles proposition bridge security evaluations of dependency
Effect index, sets up Modular Bridge System three class comprehensive safety early warning mechanism, and the maintenance management for bridge provides important reference.
The further advantage of the present invention, target and feature will be illustrated to a certain extent in the following description, and at certain
In kind of degree, will be apparent to those skilled in the art based on to investigating hereafter, or can be from this
Bright practice is instructed.The objects and other advantages of the present invention can pass through description below, claims, and
Structure specifically noted in accompanying drawing realizes and obtains.
Accompanying drawing explanation
In order to make the object, technical solutions and advantages of the present invention clearer, below in conjunction with accompanying drawing, the present invention is made further
Describe in detail, wherein:
Fig. 1 is the schematic flow sheet of three class comprehensive safety method for early warning of a kind of bridge structure of the present invention.
Detailed description of the invention
The following is the detailed description of the preferred embodiment of the present invention, it will be appreciated that preferred embodiment only for explanation the present invention, and
It is not limited to protection scope of the present invention.
With reference to Fig. 1, three class comprehensive safety method for early warning of a kind of bridge structure, use safe clearance to report to the police, stationarity report to the police and
Dependency three kinds of comprehensive pre-warning modes of warning, method particularly includes:
1) the concrete monitoring point of certain Monitoring Data relevant with bridge structure safe to be measured and bridge to be measured is determined；
2) Monitoring Data of front i for analyzing warning, i >=2 are chosen；
3) divide and add up the Monitoring Data of this monitoring point by certain time interval, and it is equal to calculate the data on each time period
Value；
4) the jth time period determining i+1 year is the time period to be analyzed；
5) safe clearance is reported to the police: definition safe clearance index, determines the benchmark data of safe clearance, according to the jth in i+1 year
The real data of individual time period judges whether to need safe clearance to report to the police；
6) stationarity is reported to the police: definition riding index, determines the benchmark data of stationarity, according to the jth time in i+1 year
The real data of section judges whether to need stationarity to report to the police；
7) dependency is reported to the police: Monitoring Data carries out cross-correlation analysis, according to condition extracts the Monitoring Data reference each other of two passages
Object, and report to the police and stationarity alarm condition according to the safe clearance of these two kinds of channel monitoring data, it may be judged whether need dependency
Report to the police；
8) the bridge security problem that various alarm condition are corresponding is processed.
Described Monitoring Data is crack data, strain data, inclination data, deflection data, displacement data, the acceleration number of degrees
According to or cable force monitoring data.In being embodied as, choose strain data as concrete Monitoring Data.
The described time in certain intervals divides, and its division methods includes monthly dividing, dividing quarterly or by year divide.
The mode monthly divided is chosen in being embodied as.
Choose the strain data of first 8 years as Monitoring Data, and using in May, the 9th as the period to be analyzed.
Then step 5) warning of described safe clearance method particularly includes:
The matrix of strain data average 5-1) obtaining first 8 years is:
5-2) definition bridge monitoring data safe clearance indexWherein ysIt is the allowable value of this kind of Monitoring Data,
Represent the safe clearance of 1 year jth time period.
5-3) with the Monitoring Data average of the whole section of First YearFor the original state of bridge structure, definitionOn the basis of；
5-4) judge that the May of the 9th year is the need of warning: whenTime, system yellow alarm；WhenTime,
System red alarm；
Wherein, k1、k2Occurrence determines according to the original state of the Monitoring Data duration chosen and bridge structure, k1＞ k2。
Equally, stationarity is reported to the police method particularly includes:
The matrix of certain Monitoring Data average 6-1) obtaining first 8 years is:
6-2) define the property index of bridge security Represent the stationarity of 1 year jth moon, matrix can be obtained
6-3) orderM=8-1=7, then have Criterion-matrix
6-4) judge that the May of the 9th year is the need of warning: whenTime, yellow alarm；WhenTime,
Red alarm；
Wherein, k3、k4Occurrence determines according to the original state of the Monitoring Data duration chosen and bridge structure, k3＜ k4。
Described dependency is reported to the police method particularly includes: take that cross-correlation coefficient absolute value is the highest and the Monitoring Data of two passages of >=0.6
Each other with reference to the references object of group；
Only have a certain passage that first kind warning or Equations of The Second Kind warning occur in reference to group, or the most a certain channel data occurs simultaneously
When the first kind and Equations of The Second Kind are reported to the police, investigation cross-correlation coefficient absolute value:
If cross-correlation coefficient absolute value drop-out value is higher than 0.2 or drops below 0.4, system alert is likely to occur sensor and adopts
Number distortion fault；
If the change of cross-correlation coefficient absolute value is little, then system trigger dependency is reported to the police；
When with reference to when two passages each occur that the first kind or Equations of The Second Kind are reported to the police in group, or two passages each occur the first kind and
When Equations of The Second Kind is reported to the police, system trigger dependency is reported to the police.
Finally, when occurring that safe clearance yellow alarm interval scale bridge structure occurs that moderate is abnormal；Needs are in many ways investigated, are divided
Analysis processes；Red alarm represents bridge structure and occurs that severe is abnormal；Need to the most in many ways investigate, analyze and process；
When occurring that stationarity yellow alarm interval scale bridge structure occurs that moderate is abnormal；Need in many ways investigate, analyze and process；Red
Color warning represents bridge structure and occurs that severe is abnormal；Need to the most in many ways investigate, analyze and process；
When occurring that dependency warning interval scale bridge structure occurs that severe is abnormal, need to the most in many ways investigate, analyze and process.
Finally illustrating, preferred embodiment above is only in order to illustrate technical scheme and unrestricted, although by above-mentioned
The present invention is described in detail by preferred embodiment, it is to be understood by those skilled in the art that can in form and
In details, it is made various change, without departing from claims of the present invention limited range.
Claims (3)
1. three class comprehensive safety method for early warning of a bridge structure, it is characterised in that: use safe clearance warning, stationarity report
Police and dependency three kinds of comprehensive pre-warning modes of warning, method particularly includes:
1) the concrete monitoring point of certain Monitoring Data relevant with bridge structure safe to be measured and bridge to be measured is determined；
2) Monitoring Data of front i for analyzing warning, i >=2 are chosen；
3) divide and add up the Monitoring Data of this monitoring point by certain time interval, and it is equal to calculate the data on each time period
Value；
4) the jth time period determining i+1 year is the time period to be analyzed；
5) safe clearance is reported to the police: definition safe clearance index, determines the benchmark data of safe clearance, according to the jth in i+1 year
The real data of individual time period judges whether to need safe clearance to report to the police；
6) stationarity is reported to the police: definition riding index, determines the benchmark data of stationarity, according to the jth time in i+1 year
The real data of section judges whether to need stationarity to report to the police；
7) dependency is reported to the police: Monitoring Data carries out cross-correlation analysis, according to condition extracts the Monitoring Data reference each other of two passages
Object, and report to the police and stationarity alarm condition according to the safe clearance of these two kinds of channel monitoring data, it may be judged whether need dependency
Report to the police；
8) the bridge security problem that various alarm condition are corresponding is processed；
Step 1) described in Monitoring Data be crack data, strain data, inclination data, deflection data, displacement data,
Acceleration information, cable force monitoring data；
Step 2) described in divide by certain time interval, its division methods includes monthly dividing, divide quarterly or by
Time divides；
Step 5) warning of described safe clearance method particularly includes:
Before 5-1) obtaining, the matrix of certain Monitoring Data average of i is:WhereinWhen representing 1 year jth
Between the Monitoring Data average of section；
5-2) definition bridge monitoring data safe clearance indexWherein ysIt is the allowable value of this kind of Monitoring Data,
Represent the safe clearance of 1 year jth time period.
5-3) with the Monitoring Data average of the whole section of First YearFor the original state of bridge structure, definitionOn the basis of；
5-4) judge that the jth time period in i+1 year is the need of warning: whenTime, system yellow alarm；
WhenTime, system red alarm；
Wherein, k1、k2Occurrence determines according to the original state of the Monitoring Data duration chosen and bridge structure, k1＞ k2。
Three class comprehensive safety method for early warning of a kind of bridge structure the most according to claim 1, it is characterised in that: step 6)
Described stationarity is reported to the police method particularly includes:
Before 6-1) obtaining, the matrix of certain Monitoring Data average of i is:WhereinWhen representing 1 year jth
Between the Monitoring Data average of section；
6-2) define the property index of bridge security Represent the stationarity of 1 year jth moon, matrix can be obtained
6-3) orderM=i-1, then have Criterion-matrix
6-4) judge that the jth time period in i+1 year is the need of warning: whenTime, yellow alarm；When
Time, red alarm；
Wherein, k3、k4Occurrence determines according to the original state of the Monitoring Data duration chosen and bridge structure, k3＜ k4。
Three class comprehensive safety method for early warning of a kind of bridge structure the most according to claim 1, it is characterised in that: step 7)
Described dependency report to the police method particularly includes: take cross-correlation coefficient absolute value the highest and >=0.6 two passages Monitoring Data each other
References object with reference to group；
Only have a certain passage that first kind warning or Equations of The Second Kind warning occur in reference to group, or the most a certain channel data occurs simultaneously
When the first kind and Equations of The Second Kind are reported to the police, investigation cross-correlation coefficient absolute value:
If cross-correlation coefficient absolute value drop-out value is higher than 0.2 or drops below 0.4, system alert is likely to occur sensor and adopts
Number distortion fault；
If the change of cross-correlation coefficient absolute value is little, then system trigger dependency is reported to the police；
When in reference group, two passages each the first kind occur or/and Equations of The Second Kind is reported to the police, system trigger dependency is reported to the police.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410394468.3A CN104122111B (en) | 2014-08-12 | 2014-08-12 | A kind of three class comprehensive safety method for early warning of bridge structure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410394468.3A CN104122111B (en) | 2014-08-12 | 2014-08-12 | A kind of three class comprehensive safety method for early warning of bridge structure |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104122111A CN104122111A (en) | 2014-10-29 |
| CN104122111B true CN104122111B (en) | 2016-11-23 |
Family
ID=51767612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410394468.3A Active CN104122111B (en) | 2014-08-12 | 2014-08-12 | A kind of three class comprehensive safety method for early warning of bridge structure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104122111B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108267306A (en) * | 2018-01-15 | 2018-07-10 | 江苏壹鼎崮机电科技有限公司 | Subway engineering antidetonation suspension and support anti-seismic performance exception localization method |
| CN108225811A (en) * | 2018-01-30 | 2018-06-29 | 四川天佑慧桥科技有限公司 | A kind of bridge structure safe assessment system based on vehicular load |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7777496B2 (en) * | 2008-07-18 | 2010-08-17 | The United States Of America As Represented By The Secretary Of The Army | Remote sensor system for monitoring the condition of earthen structure and method of its use |
| CN102565194A (en) * | 2012-02-09 | 2012-07-11 | 东南大学 | Method for carrying out early warning on damage to steel box girder of long span bridge in operation state |
| CN103440404A (en) * | 2013-08-07 | 2013-12-11 | 东南大学 | Lateral force resisting performance degradation alarm method for bridge stiffening girder based on transverse wind load effect |
| CN103698064A (en) * | 2013-12-27 | 2014-04-02 | 天津森宇科技发展有限公司 | Internal stress detection device for building |
| CN103837358A (en) * | 2014-02-18 | 2014-06-04 | 东南大学 | Early warning method for abnormity of whole lateral load resistance performance of large-span bridge structure |
| CN103852414A (en) * | 2014-03-17 | 2014-06-11 | 东南大学 | Method for monitoring corrosion and predicting service life of bridge |
| CN103942433A (en) * | 2014-04-21 | 2014-07-23 | 南京市测绘勘察研究院有限公司 | Building settlement prediction method based on historical data analysis |
-
2014
- 2014-08-12 CN CN201410394468.3A patent/CN104122111B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7777496B2 (en) * | 2008-07-18 | 2010-08-17 | The United States Of America As Represented By The Secretary Of The Army | Remote sensor system for monitoring the condition of earthen structure and method of its use |
| CN102565194A (en) * | 2012-02-09 | 2012-07-11 | 东南大学 | Method for carrying out early warning on damage to steel box girder of long span bridge in operation state |
| CN103440404A (en) * | 2013-08-07 | 2013-12-11 | 东南大学 | Lateral force resisting performance degradation alarm method for bridge stiffening girder based on transverse wind load effect |
| CN103698064A (en) * | 2013-12-27 | 2014-04-02 | 天津森宇科技发展有限公司 | Internal stress detection device for building |
| CN103837358A (en) * | 2014-02-18 | 2014-06-04 | 东南大学 | Early warning method for abnormity of whole lateral load resistance performance of large-span bridge structure |
| CN103852414A (en) * | 2014-03-17 | 2014-06-11 | 东南大学 | Method for monitoring corrosion and predicting service life of bridge |
| CN103942433A (en) * | 2014-04-21 | 2014-07-23 | 南京市测绘勘察研究院有限公司 | Building settlement prediction method based on historical data analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104122111A (en) | 2014-10-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Han et al. | Characteristics and dynamic impact of overloaded extra heavy trucks on typical highway bridges | |
| CN108764601B (en) | Structural health monitoring abnormal data diagnosis method based on computer vision and deep learning technology | |
| Feng et al. | Damage detection of metro tunnel structure through transmissibility function and cross correlation analysis using local excitation and measurement | |
| CN106355883A (en) | Risk evaluation model-based traffic accident happening probability acquiring method and system | |
| CN104331595B (en) | The mobile principal component correlation coefficient process of bridge damnification early warning | |
| CN105760934A (en) | Bridge abnormity monitoring restoration method based on wavelet and BP neural network | |
| Lu et al. | Fatigue reliability evaluation of orthotropic steel bridge decks based on site-specific weigh-in-motion measurements | |
| CN102353509A (en) | Method for rapidly detecting medium and small bridge on basis of block impact vibration test | |
| CN101382473A (en) | EWMA control chart method for bridge structure safety alarm | |
| CN103884776B (en) | A kind of method improving random damage Locating Vector Methods monitoring result accuracy | |
| CN102589993B (en) | Method for monitoring overall welded joint fatigue damage of steel bridge deck of highway | |
| Alves et al. | A fast and efficient feature extraction methodology for structural damage localization based on raw acceleration measurements | |
| CN104122111B (en) | A kind of three class comprehensive safety method for early warning of bridge structure | |
| CN103868492A (en) | Vertical deformation performance degradation alarming method of cable-stayed bridge in operating state | |
| CN103837358B (en) | The method for early warning of the overall lateral resistance behavior exception of long-span bridges | |
| Amanollah et al. | Damage detection of structures based on wavelet analysis using improved AlexNet | |
| CN101382474B (en) | Alarming method for bridge structure safety | |
| Ambros et al. | Proactive assessment of road curve safety using floating car data: An exploratory study | |
| CN104504265A (en) | Method for safety evaluation of monitoring information of in-service bridge | |
| CN107330264A (en) | A kind of verification method of bridge monitoring data reliability | |
| CN116561670A (en) | Metal roof health state identification and alarm method | |
| CN102945601A (en) | Traffic incident duration forecasting method based on partial least squares method | |
| Ismail et al. | Methodologies for aggregating traffic conflict indicators | |
| CN101968768B (en) | Defect-based software security test requirement acquisition and classification method | |
| Saad et al. | Development of a Fatigue Life Assessment Model for Pairing Fatigue Damage Prognoses with Bridge Management Systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20210714 Address after: 404100 No.1 Mengzi Middle Road, Shiliang village, Shuanghekou street, Wanzhou District, Chongqing (Wanzhou Economic Development Zone) Patentee after: Chongqing Wukang Technology Co.,Ltd. Address before: 400067 No. 33, Xuefu Avenue, Nan'an District, Chongqing Patentee before: CHINA MERCHANTS CHONGQING COMMUNICATIONS RESEARCH & DESIGN INSTITUTE Co.,Ltd. |