CN103702413B - Real-time following and positioning system of indoor camera based on Zigbee network - Google Patents
Real-time following and positioning system of indoor camera based on Zigbee network Download PDFInfo
- Publication number
- CN103702413B CN103702413B CN201310660121.4A CN201310660121A CN103702413B CN 103702413 B CN103702413 B CN 103702413B CN 201310660121 A CN201310660121 A CN 201310660121A CN 103702413 B CN103702413 B CN 103702413B
- Authority
- CN
- China
- Prior art keywords
- zigbee network
- positioning
- network
- zigbee
- head
- 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.)
- Expired - Fee Related
Links
- 230000007246 mechanism Effects 0.000 claims abstract description 10
- 238000004891 communication Methods 0.000 claims abstract description 7
- 230000010365 information processing Effects 0.000 claims abstract description 7
- 239000011159 matrix material Substances 0.000 claims description 27
- 238000012549 training Methods 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 10
- 238000005259 measurement Methods 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 238000013459 approach Methods 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
A real-time following and positioning system of an indoor camera based on a Zigbee network comprises a positioning RFID (Radio Frequency Identification) tag for marking a target, an RFID reader-writer module connected with the positioning RFID tag, a Zigbee network environment for wireless positioning, and a camera holder for controlling camera following, wherein the RFID reader-writer module comprises an antenna, an RFID chip, a microcontroller and a Zigbee signal transmit-receive module; the Zigbee network environment comprises the Zigbee network and a positioning mater controller; the Zigbee network comprises a Zigbee wireless network consisting of a Zigbee network coordinator and Zigbee network nodes; the positioning mater controller comprises a communication interface module for receiving a Zigbee network environment signal, an embedded information processing platform and a camera holder executing mechanism control module; and the embedded information processing platform integrates an echo state network positioning algorithm based on an RSSI (Received Signal Strength Indicator) model. The system can solve the problems of lack of a special positioning system, a large positioning error, difficult real-time positioning and the like of the existing indoor camera.
Description
Technical field
The invention belongs to wireless sensor network positioning technical field, specifically a kind of live pick up based on zigbee network
Head follows alignment system in real time.
Background technology
Live pick up head positioning has stronger application background, the especially real-time following feature of photographic head.At present, in room
Interior photographic head follows positioning field in real time does not also have the feasible system of complete set and scheme, is more to rely on human assistance
Realize.Current also someone's reference gps (global position system) localization method, the method is passed through embedded
Gps module positions.But the location equipment being embedded into gps module is often existed and is easily lost due to indoor signal, or mobile supply
Electricity limited and cannot normal work problem so that gps implement tracing and positioning lost efficacy.Meanwhile, live pick up head adopts gps module
When, also have such problems as that application cost is higher, integration complexity is high, a small range limited precision and real-time be not high.
Content of the invention
The technical problem to be solved be exactly provide a kind of live pick up head based on zigbee network in real time with
With alignment system, can solve the problem that existing live pick up head lacks proprietary alignment system, position error is big, real-time positioning is difficult etc.
Problem.
For solving above-mentioned technical problem, a kind of the following in real time based on the live pick up head of zigbee network of present invention offer
Alignment system, including the positioning rfid label for indicating target, the rfid reader/writer module being attached thereto, is used for carrying out wirelessly
The zigbee network environment of positioning includes sky with the photographic head head controlling photographic head to follow movement, described rfid reader/writer module
Line, rfid chip, microcontroller and zigbee signal transceiver module, described zigbee network environment includes zigbee network and determines
Position main controller, the zigbee that described zigbee network includes being made up of Zigbee network coordinator and zigbee network node is wireless
Network, described positioning main controller include for receive zigbee network ambient signal communication interface modules, at embedded information
Platform and photographic head head actuating mechanism controls module;
The described embedded information processing platform is integrated with the echo state network location algorithm based on rssi model, according to fixed
Wireless signal strength when position rfid label moves under zigbee network environment, merges, and it is fixed to be reduced by network training mode
Position mean square error, thus be accurately positioned rfid label;Meanwhile, photographic head head actuating mechanism controls module is believed according to location data
Breath, sends instruction dynamic adjustment head steering wheel;;
Described rssi model is:
In formula (1), d is the distance to beaconing nodes for the calculative unknown node, and n is path loss index, depends on
Zigbee network environment, the signal intensity that pl (d) receives for unknown node, pl (d0) it is reference distance d0The signal intensity at place,
d0For the distance of reference mode to beaconing nodes, ε is position error;
Described echo state network location algorithm comprises the following steps:
1) sample phase: a number of Zigbee network coordinator or zigbee network are set in positioning region indoors
Node as reference mode, after the completion of Zigbee network coordinator and zigbee network node networking, believe by the position of these nodes
Breath all it is known that the mutual decay intensity rssi value of measurement, builds wout, described woutFor reserve pool dr(dynamic
Reservior) it is the connection weight matrix inputting and exporting for output;This data is sent out by Zigbee network coordinator via uart
Deliver to register control;Positioning rfid label is moved into the original state for network defined in zigbee network, that is, network is first
Beginning state is 0, i.e. x (0)=0, and (u (n), n=1,2 ... are p) through input connection weight matrix w for training positioning sampleinIt is added into storage
In standby pond dr, it is sequentially completed system mode and error outputCalculating and collection;Calculate output connection weight matrix wout,
Zigbee network coordinator starts to collect internal state variable from a certain moment m, and with vectorial (x1(i),x2(i)…,xn(i))
(i=m, m+1 ... are p) that (p-m+1, n), corresponding sample location data ε (n) is also collected row composition matrix β simultaneously, and structure
Become column vector τ (p-m+1,1);
2) the weight computing stage: collect alignment system state matrix and positioning rfid label movement according in sample phase
Sample data, calculates output connection weight matrix wout;Due to state variable x (n) and outputBetween be linear relationship, and need
Target to be realized is using echo state network reality outputApproach desired output ε (n), that is,
Namely wish to calculate weights(For matrix woutElement), meet network positions mean square deviation minimum it may be assumed that
Can be in the hope of the inverse matrix of matrix β according to formula (3), i.e. wout=β-1τ, so far, esns network training completes, training
What good network can be directly used for positioning rfid label follows positioning in real time.
In technique scheme, the core wireless module of described Zigbee network coordinator and zigbee network node is equal
Using cc2530 chip.
In technique scheme, described photographic head head actuating mechanism controls module, controlled by adjusting pwm mode
Head turns to.
In technique scheme, described zigbee signal transceiver module and zigbee network environment adopt 2.4ghz radio frequency
Signal.
In technique scheme, described positioning main controller is using double arm kernel processes units, described communication interface modules
Using asynchronous receiving-transmitting transmitter.
Compared with prior art, the beneficial effects of the present invention is: 1) cost performance of the present invention is high, zigbee chip with respect to
Bluetooth, wifi and gps chip are all more cheap;2) node based on zigbee chip for the network environment that the present invention builds, all
There are route and two kinds of functions of main frame, using low complex degree and MANET mode, the topological structure of energy quick response existing network
Change, and the new network topology structure of reconstruct of precise and high efficiency;3) energy-conserving and environment-protective of the present invention, have the characteristics that low in energy consumption, two sections 5
Under number battery electric power thus supplied, as long as the sustainable operation for months of zigbee chip;4) present invention is highly reliable, and network environment is stable,
Safe;5) present invention, in the environment based on zigbee network, using RF identification (rfid) technology, and adopts based on rssi
The echo state network location algorithm of model, overcomes traditional rssi location algorithm and there is larger measurement error, real-time response is slow
Shortcoming.
Brief description
Fig. 1 follows the structural representation of alignment system in real time for a kind of present invention live pick up head;
Fig. 2 is the structured flowchart of rfid reader/writer module;
Fig. 3 is the structured flowchart of zigbee network environment;
Fig. 4 is the structured flowchart of photographic head head actuator module;
Fig. 5 is the schematic diagram of the echo state network location algorithm based on rssi model.
Specific embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail:
As shown in figure 1, a kind of of the present invention follows alignment system in real time based on the live pick up head of zigbee network, including
For indicating the positioning rfid label of target, the rfid reader/writer module being attached thereto, for carrying out the zigbee of wireless location
Network environment and the photographic head head controlling photographic head to follow movement.Zigbee network environment includes zigbee network and positioning master
Control device.As shown in Fig. 2 rfid reader/writer module includes antenna, rfid chip, microcontroller and zigbee signal transceiver module.
As shown in figure 3, what zigbee network included being made up of Zigbee network coordinator and zigbee network node
Zigbee wireless network.The network environment based on zigbee of the present invention can networking as follows: this network environment by
Several (>=4) are constituted based on the network sensing node 1 of zigbee chip, and its function is equivalent to the terminal in network.According to tool
Body applied environment and requirement, zigbee network sensor node is uniformly positioned over indoor environment.Setting zigbee network route
Node 2, its function is equivalent to the router of network.Setting Zigbee network coordinator 3, its function is equivalent to the gateway section of network
Point, serves as, following in real time, the hardware communicating with positioning main controller, network coordinator is with network sensor node in alignment system
The network of composition fully connected topology, the rfid collecting label position information is all sent to by all of zigbee node in real time
Zigbee network coordinator.In actual applications, zigbee network routing node 2 and Zigbee network coordinator 3 can be same
One node, simply different in parameter setting internally.
For stable signal transmission, the core wireless module of above-mentioned Zigbee network coordinator and zigbee network node is equal
Using cc2530 chip, zigbee signal transceiver module and zigbee network environment adopt 2.4ghz radiofrequency signal.
As shown in figure 4, positioning main controller includes the communication interface modules, embedded for receiving zigbee network ambient signal
The formula information processing platform and photographic head head actuating mechanism controls module.First, marked by the rfid that communication interface modules transmits
Sign real-time position information;Secondly, via intelligent positioning algorithm, determine orientation regulated quantity;Finally, photographic head head actuator control
Molding block adjusts the orientation angle in length and breadth of external camera head, thus adjusting photographic head focus direction, reaching to follow in real time and determining
Position.For the ease of adjusting, photographic head head actuating mechanism controls module, control head to turn to by adjusting pwm mode.Positioning
Main controller preferably employs double arm kernel processes units, runs android4.2 operating system, can be by wireless telecommunications, multimedia
Application, remote monitoring, distributed task scheduling process etc. combine.Positioning main controller is transmitted by universal asynchronous receiving-transmitting
Device (uart) connects to Zigbee network coordinator.
The above-mentioned embedded information processing platform is integrated with the echo state network location algorithm based on rssi model, according to fixed
Wireless signal strength when position rfid label moves under zigbee network environment, merges, and it is fixed to be reduced by network training mode
Position mean square error, thus be accurately positioned rfid label;Meanwhile, photographic head head actuating mechanism controls module is believed according to location data
Breath, sends instruction dynamic adjustment head steering wheel;;
Described rssi model is:
In formula (1), d is the distance to beaconing nodes for the calculative unknown node, and n is path loss index, depends on
Zigbee network environment, the signal intensity that pl (d) receives for unknown node, pl (d0) it is reference distance d0The signal intensity at place,
d0For the distance of reference mode to beaconing nodes, ε is position error;
Described echo state network location algorithm comprises the following steps:
1) sample phase: a number of Zigbee network coordinator or zigbee network are set in positioning region indoors
Node as reference mode, after the completion of Zigbee network coordinator and zigbee network node networking, believe by the position of these nodes
Breath all it is known that the mutual decay intensity rssi value of measurement, builds wout, described woutFor reserve pool dr(dynamic
Reservior) it is the connection weight matrix inputting and exporting for output;This data is sent out by Zigbee network coordinator via uart
Deliver to register control;Positioning rfid label is moved into the original state for network defined in zigbee network, that is, network is first
Beginning state is 0, i.e. x (0)=0, and (u (n), n=1,2 ... are p) through input connection weight matrix w for training positioning sampleinIt is added into storage
In standby pond dr, it is sequentially completed system mode and error outputCalculating and collection;Calculate output connection weight matrix wout,
Zigbee network coordinator starts to collect internal state variable from a certain moment m, and with vectorial (x1(i),x2(i)…,xn(i))
(i=m, m+1 ... are p) that (p-m+1, n), corresponding sample location data ε (n) is also collected row composition matrix β simultaneously, and structure
Become column vector τ (p-m+1,1);
2) the weight computing stage: collect alignment system state matrix and positioning rfid label movement according in sample phase
Sample data, calculates output connection weight matrix wout;Due to state variable x (n) and outputBetween be linear relationship, and need
Target to be realized is using echo state network reality outputApproach desired output ε (n), that is,
Namely wish to calculate weights(For matrix woutElement), meet network positions mean square deviation minimum it may be assumed that
Can be in the hope of the inverse matrix of matrix β according to formula (3), i.e. wout=β-1τ, so far, esns network training completes, training
What good network can be directly used for positioning rfid label follows positioning in real time, has very high location efficiency and precision.
Claims (5)
1. a kind of alignment system is followed in real time based on the live pick up head of zigbee network, including the positioning for indicating target
Rfid label, the rfid reader/writer module being attached thereto, for carrying out the zigbee network environment of wireless location and controlling shooting
Head follows the photographic head head of movement, and described rfid reader/writer module includes antenna, rfid chip, microcontroller and zigbee letter
Number transceiver module it is characterised in that: described zigbee network environment includes zigbee network and positioning main controller, described zigbee
Network includes the zigbee wireless network being made up of Zigbee network coordinator and zigbee network node, described positioning main controller
Hold including the communication interface modules for receiving zigbee network ambient signal, the embedded information processing platform and photographic head head
Row mechanism controls module;
The described embedded information processing platform is integrated with the echo state network location algorithm based on rssi model, according to positioning
Wireless signal strength when rfid label moves under zigbee network environment, merges, reduces positioning by network training mode
Mean square error, thus be accurately positioned rfid label;Meanwhile, photographic head head actuating mechanism controls module is believed according to location data
Breath, sends instruction dynamic adjustment head steering wheel;
Described rssi model is:
In formula (1), d is the distance to beaconing nodes for the calculative unknown node, and n is path loss index, depends on
Zigbee network environment, the signal intensity that pl (d) receives for unknown node, pl (d0) it is reference distance d0The signal intensity at place,
d0For the distance of reference mode to beaconing nodes, ε is position error;
Described echo state network location algorithm comprises the following steps:
1) sample phase: a number of Zigbee network coordinator or zigbee network node are set in positioning region indoors
As reference mode, after the completion of Zigbee network coordinator and zigbee network node networking, the positional information of these nodes is equal
It is known that the mutual decay intensity rssi value of measurement, build wout, described woutFor reserve pool dr (dynamic reservior)
It is the connection weight matrix inputting and exporting for output;Zigbee network coordinator sends this data to positioning control via uart
Device processed;Positioning rfid label is moved into the original state for network defined in zigbee network, that is, the original state of network is 0,
I.e. x (0)=0, (u (n), n=1,2 ... are p) through input connection weight matrix w for training positioning sampleinIt is added into reserve pool dr
In, it is sequentially completed system mode and error outputCalculating and collection;Calculate output connection weight matrix wout, zigbee net
Network coordinator starts to collect internal state variable from a certain moment m, and with vectorial (x1(i), x2(i) ..., xn(i)) (i=m, m+
1 ..., it is p) that (p-m+1, n), corresponding sample location data ε (n) is also collected row composition matrix b simultaneously, and constitutes row
Vectorial τ (p-m+1,1);P is time serieses, and that is, same node is in not state value in the same time;
2) the weight computing stage: collect alignment system state matrix and positioning rfid label movement sample according in sample phase
Data, calculates output connection weight matrix wout;Due to state variable x (n) and outputBetween be linear relationship, and need reality
Existing target is using echo state network reality outputApproach desired output ε (n), that is,
Calculate weights(For matrix woutElement), meet network positions mean square deviation minimum it may be assumed that
Can be in the hope of the inverse matrix of matrix b according to formula (3), i.e. wout=b-1T, so far, esns network training completes, the net training
Network can be directly used for position rfid label follow positioning in real time;Esns is echo state network;T be node sample training when
Between sequence;The moment that l finishes for sample training.
2. according to claim 1 alignment system is followed in real time based on the live pick up head of zigbee network, its feature exists
In: the core wireless module of described Zigbee network coordinator and zigbee network node is all using cc2530 chip.
3. according to claim 1 and 2 alignment system is followed in real time based on the live pick up head of zigbee network, its feature
It is: described photographic head head actuating mechanism controls module, control head to turn to by adjusting pwm mode.
4. according to claim 1 and 2 alignment system is followed in real time based on the live pick up head of zigbee network, its feature
It is: described zigbee signal transceiver module and zigbee network environment adopt 2.4ghz radiofrequency signal.
5. according to claim 1 and 2 alignment system is followed in real time based on the live pick up head of zigbee network, its feature
It is: using double arm kernel processes units, described communication interface modules adopts asynchronous receiving-transmitting transmitter to described positioning main controller.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310660121.4A CN103702413B (en) | 2013-12-09 | 2013-12-09 | Real-time following and positioning system of indoor camera based on Zigbee network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310660121.4A CN103702413B (en) | 2013-12-09 | 2013-12-09 | Real-time following and positioning system of indoor camera based on Zigbee network |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103702413A CN103702413A (en) | 2014-04-02 |
CN103702413B true CN103702413B (en) | 2017-01-25 |
Family
ID=50363783
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310660121.4A Expired - Fee Related CN103702413B (en) | 2013-12-09 | 2013-12-09 | Real-time following and positioning system of indoor camera based on Zigbee network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103702413B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108388213A (en) * | 2018-02-05 | 2018-08-10 | 浙江天悟智能技术有限公司 | Direct-spinning of PET Fiber process control method based on local plasticity echo state network |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104105063A (en) * | 2014-07-28 | 2014-10-15 | 成都联星微电子有限公司 | Radio frequency identification device (RFID) and Bluetooth network based monitoring positioning system and method |
CN105203162A (en) * | 2015-10-21 | 2015-12-30 | 陕西省地质环境监测总站 | Slip mass dynamic online automatic monitoring and early warning device |
CN105872460A (en) * | 2016-03-30 | 2016-08-17 | 无锡品冠物联科技有限公司 | Indoor object tracking and positioning system |
CN106131950A (en) * | 2016-06-24 | 2016-11-16 | 山东超越数控电子有限公司 | A kind of ZigBee wireless location method of portable computer |
CN106371465A (en) * | 2016-09-20 | 2017-02-01 | 深圳市沃特沃德股份有限公司 | Method for realizing positioning photographing, and positioning auxiliary apparatus |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102395199A (en) * | 2011-11-11 | 2012-03-28 | 张秀发 | Mixed positioning system and positioning method thereof |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101429953B1 (en) * | 2010-04-02 | 2014-08-13 | 에스케이텔레콤 주식회사 | Method and Apparatus for Updating Database for pCell Positioning |
-
2013
- 2013-12-09 CN CN201310660121.4A patent/CN103702413B/en not_active Expired - Fee Related
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102395199A (en) * | 2011-11-11 | 2012-03-28 | 张秀发 | Mixed positioning system and positioning method thereof |
Non-Patent Citations (2)
Title |
---|
Multi-subnetwork Switching Mechanism in the Large-scale Zigbee Mesh Network for the Real-Time Indoor Positioning System;Jingjing Yang, Ruonan Rao;《2011 Third International Conference on Multimedia Information Networking and Security》;20111231;全文 * |
一种基于RFID 和ZigBee 技术的局域定位***;张颖, 杨臻;《电子设计工程》;20120531;全文 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108388213A (en) * | 2018-02-05 | 2018-08-10 | 浙江天悟智能技术有限公司 | Direct-spinning of PET Fiber process control method based on local plasticity echo state network |
CN108388213B (en) * | 2018-02-05 | 2019-11-08 | 浙江天悟智能技术有限公司 | Direct-spinning of PET Fiber process control method based on local plasticity echo state network |
Also Published As
Publication number | Publication date |
---|---|
CN103702413A (en) | 2014-04-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103702413B (en) | Real-time following and positioning system of indoor camera based on Zigbee network | |
CN103997781B (en) | Zone location base station system and its area positioning method | |
CN202309772U (en) | Zigbee-based aquiculture-environment movable-type positioning and monitoring system | |
CN103905992B (en) | Indoor positioning method based on wireless sensor networks of fingerprint data | |
CN109282811A (en) | Indoor and outdoor positioning system and method for interconnecting UWB (ultra wide band) and smart phone | |
CN104105063A (en) | Radio frequency identification device (RFID) and Bluetooth network based monitoring positioning system and method | |
CN101782652A (en) | Indoor positioning system based on RFID technology | |
CN207529228U (en) | Intelligent robot autonomous navigation system based on UWB technology | |
CN105988475B (en) | A kind of unmanned plane design of system for farmland | |
Kang et al. | A study on the greenhouse auto control system based on wireless sensor network | |
CN207780956U (en) | Monitor sensing device and system | |
CN105142239A (en) | Wireless sensor network mobile sink data collection method based on data value dynamic estimation | |
CN102508201A (en) | Agricultural machinery field positioning method based on wireless positioning device | |
CN201393304Y (en) | Moving target tracking system based on wireless sensor network | |
CN110488900B (en) | Intelligent accurate agricultural integrated control system based on WSN | |
CN205067727U (en) | Service robot positioning system based on zigBee and RFID | |
CN204043703U (en) | A kind of indoor environment data acquisition system (DAS) | |
CN105549059B (en) | A kind of indoor and outdoor positioning system with automatic switching function | |
CN201654239U (en) | Indoor positioning device based on RFID (Radio Frequency Identification Technology) | |
Jegan et al. | Cattle tracking system architecture using LORA | |
CN201852952U (en) | Greenhouse environment remote monitoring early warning device | |
CN106097681B (en) | Device and method, system, the sensor network of raspberry pie are remotely controlled based on XBee | |
CN109151992A (en) | A kind of indoor locating system and method | |
CN203206298U (en) | Monitoring system based on solar energy wireless sensing nodes | |
CN106843200A (en) | A kind of moving cart avoidance and alignment system and method based on multisensor |
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: 20180822 Address after: 528225 Foshan science and Technology Park, Nanhai District, Guangdong, China, A604 room, A research building, industrial think tank, Nanhai software science and Technology Park, Nanhai District Patentee after: Foshan yuan Dao Industrial Design Co.,Ltd. Address before: 430223 8 Wu Da Yuan four road, East Lake hi tech Zone, Wuhan, Hubei Patentee before: HUBEI CHUJI TECHNICAL Co.,Ltd. |
|
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170125 |