CN107999413A - A kind of high speed X light express delivery method for sorting - Google Patents
A kind of high speed X light express delivery method for sorting Download PDFInfo
- Publication number
- CN107999413A CN107999413A CN201810037172.4A CN201810037172A CN107999413A CN 107999413 A CN107999413 A CN 107999413A CN 201810037172 A CN201810037172 A CN 201810037172A CN 107999413 A CN107999413 A CN 107999413A
- Authority
- CN
- China
- Prior art keywords
- ray
- identification information
- sorting
- pictures
- express delivery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000002716 delivery method Methods 0.000 title claims 5
- 238000013135 deep learning Methods 0.000 claims abstract description 5
- 238000003708 edge detection Methods 0.000 claims description 3
- 238000003709 image segmentation Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 9
- 238000013473 artificial intelligence Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000007689 inspection Methods 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000002922 simulated annealing Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/3416—Sorting according to other particular properties according to radiation transmissivity, e.g. for light, x-rays, particle radiation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/36—Sorting apparatus characterised by the means used for distribution
- B07C5/361—Processing or control devices therefor, e.g. escort memory
- B07C5/362—Separating or distributor mechanisms
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C2201/00—Measures preceding sorting according to destination
- B07C2201/006—Hazardous Substances, e.g. checking for contamination, explosives, anthrax
Landscapes
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Toxicology (AREA)
- Analysing Materials By The Use Of Radiation (AREA)
Abstract
本发明公开了一种高速X光快递分拣方法,包括以下步骤:在自动分拣线的供包口处安装跨越式X光机设备,并通过拍照或扫描设备获取快递包裹上的条码识别信息,并控制X光机按照一定的时间间隔对快递包裹进行X光图片采集,并根据获得的条码识别信息对获得的X光图片进行命名;本发明的有益效果是:通过将跨越式X光机和高速分拣机结合起来,以提高获取X光图片的速度,并对图片进行标识;通过人工智能和深度学习的方法,对X光片中的危险物品进行快速的检测和判断;将有问题的物品通过自动分拣线系统加以甄别和剔除,确保过检的准确性和效率,减少人为干扰并降低成本。
The invention discloses a high-speed X-ray express sorting method, comprising the following steps: installing a leaping X-ray machine device at the bag supply port of an automatic sorting line, and obtaining barcode identification information on the express package by taking pictures or scanning equipment , and control the X-ray machine to collect X-ray pictures of express parcels according to a certain time interval, and name the obtained X-ray pictures according to the obtained barcode identification information; the beneficial effect of the present invention is: Combined with a high-speed sorting machine to increase the speed of obtaining X-ray pictures and mark the pictures; through artificial intelligence and deep learning methods, quickly detect and judge dangerous objects in X-ray films; there will be problems The items are screened and rejected through the automatic sorting line system to ensure the accuracy and efficiency of the inspection, reduce human interference and reduce costs.
Description
技术领域technical field
本发明涉及快递分拣技术领域,具体是一种高速X光快递分拣方法。The invention relates to the technical field of express sorting, in particular to a high-speed X-ray express sorting method.
背景技术Background technique
目前,物流快递行业的安全形势越来越严峻,枪支、毒品和各种易燃易爆物品通过物流快递行业运输,从而造成重大事故的报道不绝于耳。传统物流快递用的X光检测基本依靠人工判别,检测速度慢,时效低,皮带圈运行所需时间为0.22米/秒,人工判别成本高,漏检率高等问题,无法满足物流快递传送设备普遍1.5米~2米的分拣要求。At present, the security situation in the logistics and express industry is becoming more and more serious. There are endless reports of major accidents caused by the transportation of guns, drugs and various flammable and explosive items through the logistics and express industry. The X-ray detection used in traditional logistics express basically relies on manual discrimination, the detection speed is slow, the timeliness is low, the time required for the belt loop to run is 0.22 m/s, the cost of manual discrimination is high, and the missed detection rate is high. Sorting requirements of 1.5 meters to 2 meters.
发明内容Contents of the invention
本发明的目的在于提供一种高速X光快递分拣方法,以解决上述背景技术中提出的问题。The purpose of the present invention is to provide a high-speed X-ray express sorting method to solve the problems raised in the above-mentioned background technology.
为实现上述目的,本发明提供如下技术方案:To achieve the above object, the present invention provides the following technical solutions:
一种高速X光快递分拣方法,包括以下步骤:A high-speed X-ray express sorting method, comprising the following steps:
S1,在自动分拣线的供包口处安装跨越式X光机设备,并通过拍照或扫描设备获取快递包裹上的条码识别信息,并控制X光机按照一定的时间间隔对快递包裹进行X光图片采集,并根据获得的条码识别信息对获得的X光图片进行命名;S1, install leaping X-ray machine equipment at the bag supply port of the automatic sorting line, and obtain the barcode identification information on the express package by taking pictures or scanning equipment, and control the X-ray machine to X-ray the express package according to a certain time interval X-ray pictures are collected, and the obtained X-ray pictures are named according to the obtained barcode identification information;
S2,通过有线或无线方式将获得的X光图片及命名信息传输到后台服务器内,由后台服务器对X光图片进行图像边缘检测、图像分割、危险物品识别、图像匹配和图像分类,得到疑似危险品X光图片及其条码识别信息;S2. The obtained X-ray pictures and naming information are transmitted to the background server through wired or wireless means, and the background server performs image edge detection, image segmentation, dangerous object identification, image matching and image classification on the X-ray pictures to obtain suspected dangerous objects. Product X-ray pictures and their barcode identification information;
S3,后台服务器将疑似危险品X光图片及其条码识别信息发送给自动分拣线,自动分拣线控制剔除机构对具有疑似危险品的快递包裹进行剔除;S3, the background server sends the X-ray picture of suspected dangerous goods and its barcode identification information to the automatic sorting line, and the automatic sorting line controls the rejecting mechanism to reject express packages with suspected dangerous goods;
S4,后台服务器同时将疑似危险品X光图片传输给云端平台,由云端平台进行深度学习和大数据积累。S4, the background server transmits the X-ray pictures of suspected dangerous goods to the cloud platform at the same time, and the cloud platform performs deep learning and big data accumulation.
作为本发明进一步的方案:步骤S1中所述X光机的拍照频率与快递包裹的传送速度相互匹配。As a further solution of the present invention: the photographing frequency of the X-ray machine described in step S1 matches the delivery speed of the express package.
作为本发明再进一步的方案:步骤S1中,快递包裹上的条码识别信息由高拍仪获取。As a further solution of the present invention: in step S1, the barcode identification information on the express package is obtained by Gao Paiyi.
作为本发明再进一步的方案:步骤S3中的剔除机构为交叉带小车。As a further solution of the present invention: the rejecting mechanism in step S3 is a cross belt trolley.
与现有技术相比,本发明的有益效果是:通过将跨越式X光机和高速分拣机结合起来,以提高获取X光图片的速度,并对图片进行标识;通过人工智能和深度学习的方法,对X光片中的危险物品进行快速的检测和判断;将有问题的物品通过自动分拣线系统加以甄别和剔除,确保过检的准确性和效率,减少人为干扰并降低成本。Compared with the prior art, the beneficial effect of the present invention is: by combining the leaping X-ray machine and the high-speed sorting machine, the speed of obtaining X-ray pictures is improved, and the pictures are marked; through artificial intelligence and deep learning The method can quickly detect and judge the dangerous items in the X-ray film; the problematic items are screened and eliminated through the automatic sorting line system to ensure the accuracy and efficiency of the inspection, reduce human interference and reduce costs.
附图说明Description of drawings
图1为一种高速X光快递分拣方法的结构示意图。Fig. 1 is a schematic structural diagram of a high-speed X-ray express sorting method.
具体实施方式Detailed ways
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
请参阅图1,本发明实施例中,一种高速X光快递分拣方法,包括以下步骤:Please refer to Fig. 1, in the embodiment of the present invention, a kind of high-speed X-ray courier sorting method comprises the following steps:
S1,在自动分拣线的供包口处安装跨越式X光机设备,通过高拍仪等设备获取快递包裹上的条码等识别信息,并控制X光机按照一定的时间间隔对快递包裹进行X光图片采集,并根据获得的条码识别信息对获得的X光图片进行命名;S1, install leaping X-ray machine equipment at the bag supply port of the automatic sorting line, obtain identification information such as barcodes on the express parcels through high-speed cameras and other equipment, and control the X-ray machine to check the express parcels at a certain time interval X-ray pictures are collected, and the obtained X-ray pictures are named according to the obtained barcode identification information;
S2,通过有线或无线方式将获得的X光图片及命名信息传输到后台服务器内,通过人工神经网络、遗传算法、蚁群算法、模拟退火算法和粒子群算法等人工智能算法,由后台服务器对X光图片进行图像边缘检测、图像分割、危险物品识别、图像匹配和图像分类,得到疑似危险品X光图片及其条码识别信息;S2, transmit the obtained X-ray pictures and naming information to the backend server through wired or wireless means, and through artificial neural network, genetic algorithm, ant colony algorithm, simulated annealing algorithm and particle swarm algorithm and other artificial intelligence algorithms, the background server X-ray images are subjected to image edge detection, image segmentation, dangerous goods identification, image matching and image classification, and X-ray pictures of suspected dangerous goods and their barcode identification information are obtained;
S3,后台服务器将疑似危险品X光图片及其条码识别信息发送给自动分拣线,自动分拣线控制剔除机构对具有疑似危险品的快递包裹进行剔除;S3, the background server sends the X-ray picture of suspected dangerous goods and its barcode identification information to the automatic sorting line, and the automatic sorting line controls the rejecting mechanism to reject express packages with suspected dangerous goods;
S4,后台服务器同时将疑似危险品X光图片传输给云端平台,由云端平台进行深度学习和大数据积累。S4, the background server transmits the X-ray pictures of suspected dangerous goods to the cloud platform at the same time, and the cloud platform performs deep learning and big data accumulation.
对于本领域技术人员而言,显然本发明不限于上述示范性实施例的细节,而且在不背离本发明的精神或基本特征的情况下,能够以其他的具体形式实现本发明。因此,无论从哪一点来看,均应将实施例看作是示范性的,而且是非限制性的,本发明的范围由所附权利要求而不是上述说明限定,因此旨在将落在权利要求的等同要件的含义和范围内的所有变化囊括在本发明内。不应将权利要求中的任何附图标记视为限制所涉及的权利要求。It will be apparent to those skilled in the art that the invention is not limited to the details of the above-described exemplary embodiments, but that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Accordingly, the embodiments should be regarded in all points of view as exemplary and not restrictive, the scope of the invention being defined by the appended claims rather than the foregoing description, and it is therefore intended that the scope of the invention be defined by the appended claims rather than by the foregoing description. All changes within the meaning and range of equivalents of the elements are embraced in the present invention. Any reference sign in a claim should not be construed as limiting the claim concerned.
此外,应当理解,虽然本说明书按照实施方式加以描述,但并非每个实施方式仅包含一个独立的技术方案,说明书的这种叙述方式仅仅是为清楚起见,本领域技术人员应当将说明书作为一个整体,各实施例中的技术方案也可以经适当组合,形成本领域技术人员可以理解的其他实施方式。In addition, it should be understood that although this specification is described according to implementation modes, not each implementation mode only contains an independent technical solution, and this description in the specification is only for clarity, and those skilled in the art should take the specification as a whole , the technical solutions in the various embodiments can also be properly combined to form other implementations that can be understood by those skilled in the art.
Claims (4)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810037172.4A CN107999413A (en) | 2018-01-15 | 2018-01-15 | A kind of high speed X light express delivery method for sorting |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810037172.4A CN107999413A (en) | 2018-01-15 | 2018-01-15 | A kind of high speed X light express delivery method for sorting |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107999413A true CN107999413A (en) | 2018-05-08 |
Family
ID=62050691
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810037172.4A Pending CN107999413A (en) | 2018-01-15 | 2018-01-15 | A kind of high speed X light express delivery method for sorting |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107999413A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110180792A (en) * | 2019-05-31 | 2019-08-30 | 南京禹智智能科技有限公司 | A kind of Internet of Things logistics sorting traceability system and its method for sorting |
| CN110449366A (en) * | 2019-07-11 | 2019-11-15 | 安庆易达供应链管理有限公司 | A kind of physical distribution monitoring system based on Internet of Things |
| CN110711718A (en) * | 2019-07-26 | 2020-01-21 | 广东邮政邮件快件服务有限公司 | Express package intelligent sorting system and method based on X-ray image and storage medium |
| CN111346839A (en) * | 2020-03-12 | 2020-06-30 | 江苏警官学院 | X-ray detection device for dangerous goods |
| CN112232335A (en) * | 2019-07-15 | 2021-01-15 | 德国邮政股份公司 | Determination of distribution information and/or sorting information for automated distribution and/or sorting of consignments |
| CN112845178A (en) * | 2021-02-23 | 2021-05-28 | 无锡日联科技股份有限公司 | Use safety inspection automatic sorting system at postal express industry |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1739870A (en) * | 2005-06-16 | 2006-03-01 | 中国民用航空总局第二研究所 | A baggage tracking and positioning method and its tracking and positioning device applied in an automatic baggage sorting system |
| CN102873033A (en) * | 2012-09-28 | 2013-01-16 | 赛轮股份有限公司 | Automatic selection system for classification storage of tires |
| CN203091291U (en) * | 2013-02-01 | 2013-07-31 | 杭州厚通网络科技有限公司 | Intelligent express sorting system device |
| CN203842835U (en) * | 2014-04-30 | 2014-09-24 | 广东安盾实业投资有限公司 | Automatic classification X-ray safety inspection equipment for dangerous goods |
| CN204287075U (en) * | 2014-12-29 | 2015-04-22 | 同方威视技术股份有限公司 | Integrated safe check system |
| CN105170475A (en) * | 2015-09-25 | 2015-12-23 | 无锡日联科技股份有限公司 | Identifying, checking, sorting and flow dividing system for logistics |
| CN105270813A (en) * | 2015-09-25 | 2016-01-27 | 无锡日联科技股份有限公司 | Security check Internet-of-things system |
| CN206184803U (en) * | 2016-10-27 | 2017-05-24 | 中云智慧(北京)科技有限公司 | Contraband Intelligent Sorting System |
| CN206325847U (en) * | 2016-12-22 | 2017-07-14 | 紫光智云(江苏)物联网科技有限公司 | Express mail based on raster scanning is followed the trail of and Automated Sorting System |
-
2018
- 2018-01-15 CN CN201810037172.4A patent/CN107999413A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1739870A (en) * | 2005-06-16 | 2006-03-01 | 中国民用航空总局第二研究所 | A baggage tracking and positioning method and its tracking and positioning device applied in an automatic baggage sorting system |
| CN102873033A (en) * | 2012-09-28 | 2013-01-16 | 赛轮股份有限公司 | Automatic selection system for classification storage of tires |
| CN203091291U (en) * | 2013-02-01 | 2013-07-31 | 杭州厚通网络科技有限公司 | Intelligent express sorting system device |
| CN203842835U (en) * | 2014-04-30 | 2014-09-24 | 广东安盾实业投资有限公司 | Automatic classification X-ray safety inspection equipment for dangerous goods |
| CN204287075U (en) * | 2014-12-29 | 2015-04-22 | 同方威视技术股份有限公司 | Integrated safe check system |
| CN105170475A (en) * | 2015-09-25 | 2015-12-23 | 无锡日联科技股份有限公司 | Identifying, checking, sorting and flow dividing system for logistics |
| CN105270813A (en) * | 2015-09-25 | 2016-01-27 | 无锡日联科技股份有限公司 | Security check Internet-of-things system |
| CN206184803U (en) * | 2016-10-27 | 2017-05-24 | 中云智慧(北京)科技有限公司 | Contraband Intelligent Sorting System |
| CN206325847U (en) * | 2016-12-22 | 2017-07-14 | 紫光智云(江苏)物联网科技有限公司 | Express mail based on raster scanning is followed the trail of and Automated Sorting System |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110180792A (en) * | 2019-05-31 | 2019-08-30 | 南京禹智智能科技有限公司 | A kind of Internet of Things logistics sorting traceability system and its method for sorting |
| CN110449366A (en) * | 2019-07-11 | 2019-11-15 | 安庆易达供应链管理有限公司 | A kind of physical distribution monitoring system based on Internet of Things |
| CN112232335A (en) * | 2019-07-15 | 2021-01-15 | 德国邮政股份公司 | Determination of distribution information and/or sorting information for automated distribution and/or sorting of consignments |
| CN110711718A (en) * | 2019-07-26 | 2020-01-21 | 广东邮政邮件快件服务有限公司 | Express package intelligent sorting system and method based on X-ray image and storage medium |
| CN110711718B (en) * | 2019-07-26 | 2024-11-15 | 广东邮政邮件快件服务有限公司 | Intelligent sorting system, method and storage medium for express parcels based on X-ray images |
| CN111346839A (en) * | 2020-03-12 | 2020-06-30 | 江苏警官学院 | X-ray detection device for dangerous goods |
| CN112845178A (en) * | 2021-02-23 | 2021-05-28 | 无锡日联科技股份有限公司 | Use safety inspection automatic sorting system at postal express industry |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107999413A (en) | A kind of high speed X light express delivery method for sorting | |
| CN104636707B (en) | The method of automatic detection cigarette | |
| CN110711718B (en) | Intelligent sorting system, method and storage medium for express parcels based on X-ray images | |
| CN104464058B (en) | Item security check method and item security check system based on item identification tag | |
| CN105181714B (en) | A kind of bottling liquid Impurity Detection System and its detection method based on image procossing | |
| KR102391501B1 (en) | Classification System and method for atypical recycled goods using Deep learning | |
| KR102619659B1 (en) | Cargo information recognition device and method to automate the Delivery cargo Handling | |
| CN108303748A (en) | The method for checking equipment and detecting the gun in luggage and articles | |
| KR101753279B1 (en) | System for auto-recognizing Delivery freight | |
| CN110992305A (en) | Package counting method and system based on deep learning and multi-target tracking technology | |
| CN104118609B (en) | Labeling quality determining method and device | |
| CN204314911U (en) | Based on identification label, the article of checked people are carried out to the system of safety inspection | |
| CN112396649B (en) | Image processing method, device, computer system and readable storage medium | |
| SA109300619B1 (en) | Method and System for Item Identification | |
| CN105116461A (en) | Intelligent identification system and identification method | |
| CN113792826A (en) | Dual-view angle associated security inspection method and system based on neural network and multi-source data | |
| CN109975332A (en) | An intelligent object inspection system applied to X-ray machine | |
| CN110136044A (en) | A kind of article sorting method, system, equipment and intelligent terminal | |
| CN115331050A (en) | Eye ground image measuring method and device based on tight frame mark and network training | |
| WO2023124474A1 (en) | Security check information binding method and apparatus, electronic device, and readable storage medium | |
| CN112371540A (en) | Security inspection system capable of automatically sorting contraband | |
| CN111539251A (en) | Security check article identification method and system based on deep learning | |
| JP6699890B2 (en) | Luggage inspection system | |
| CN112525931A (en) | Shoe garment broken needle detection device and method based on artificial intelligence technology | |
| CN206292821U (en) | Drawing system is sentenced in article safety check |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180508 |