CN115486389A - Intelligent breeding system - Google Patents

Intelligent breeding system Download PDF

Info

Publication number
CN115486389A
CN115486389A CN202110679822.7A CN202110679822A CN115486389A CN 115486389 A CN115486389 A CN 115486389A CN 202110679822 A CN202110679822 A CN 202110679822A CN 115486389 A CN115486389 A CN 115486389A
Authority
CN
China
Prior art keywords
culture
aquaculture
intelligent
control
module
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
Application number
CN202110679822.7A
Other languages
Chinese (zh)
Inventor
余万洲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Aidi Technology Co ltd
Original Assignee
Aidi Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Aidi Technology Co ltd filed Critical Aidi Technology Co ltd
Priority to CN202110679822.7A priority Critical patent/CN115486389A/en
Publication of CN115486389A publication Critical patent/CN115486389A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01KANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K61/00Culture of aquatic animals

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Environmental Sciences (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Zoology (AREA)
  • Animal Husbandry (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The intelligent culture system comprises a processing center, a control center and a control center, wherein the processing center is used for monitoring and identifying the culture condition in real time and carrying out automatic operation control on culture adjusting equipment; the remote monitoring system is used for monitoring the culture parameters and uploading the culture parameters to the processing center for automatic regulation and control; and the harvest system judges the harvestability of the cultured organisms based on the identification of the processing center, automatically harvests and commercializes the cultured organisms, and records the automatic culture parameters in the culture period of the cultured organisms. By utilizing the intelligent culture system, external influences such as human factors or environmental factors can be reduced, so that the success degree, health degree and yield of cultured organisms are improved, the influences of labor cost and human carelessness are reduced, a user is assisted to concentrate on cultured crops, the success probability of organism culture is improved, and a culture program with high yield is recorded to serve as a culture reference in the future.

Description

Intelligent breeding system
Technical Field
The invention relates to the technical field of culture systems, in particular to an intelligent culture system.
Background
In the existing breeding industry, most breeding techniques are possessed by experienced breeding personnel, so when the breeding personnel meet seasonal or periodic breeding conditions, the breeding experience can be utilized to quickly draw up a corresponding mode to improve the breeding effect. However, once a sudden culture condition is encountered, in the case that the treatment cannot be carried out by using past experience, the trial can only be carried out in a way of bumping fortune, the influence of each culture step in the sudden culture condition cannot be quantified, and the same treatment mode cannot be reproduced in the future.
In view of the above, it is an urgent need to provide an intelligent cultivation system, which can reduce the external influence of human factors or environmental factors, thereby improving the success, health and yield of the cultivated living beings, and meanwhile, through the automatic cultivation, reduce the influence of human cost and human carelessness, assist the user to concentrate on the crops to be cultivated, improve the success rate of the biological cultivation, and record the cultivation procedures with high yield.
Disclosure of Invention
In order to solve the technical problem that the culture system in the prior art too depends on experienced culture personnel to quantify the influence of each culture step in sudden culture conditions, the invention provides an intelligent culture system which is used for solving the problems in the prior art.
The invention provides an intelligent culture system, which comprises a processing center, a control center and a control center, wherein the processing center is used for monitoring and identifying the culture condition in real time and carrying out automatic operation control on culture adjusting equipment; the remote monitoring system is used for monitoring the culture parameters and uploading the culture parameters to the processing center for automatic regulation and control; and the harvest system judges the harvestability of the cultured organisms based on the identification of the processing center, automatically harvests and commercializes the cultured organisms, and records the automatic culture parameters in the culture period of the cultured organisms. The intelligent culture system can realize automatic culture, reduces the influence of factors, and can record automatic culture parameters in a culture period to provide reference for a subsequent culture period.
Preferably, the processing center comprises an automatic control module, a monitoring module and an identification module, the automatic control module is used for carrying out automatic operation control on the cultivation adjusting equipment, the monitoring module is used for monitoring automatic cultivation parameters, and the identification module is used for identifying cultivation characteristics of cultivated organisms. The monitoring of the culture parameters, the identification of the culture biological characteristics and the control of the culture adjusting equipment based on the parameters can be realized by means of the setting of the processing center.
Further preferably, the automatic operation control comprises feed feeding, water quality regulation, temperature regulation, oxygen content regulation and voltage regulation. By means of the setting, the multi-parameter can be adjusted and controlled.
Further preferably, the monitoring module monitors the automatic breeding parameters in a photoelectric colorimetric method, an electrode method and an image identification method.
Further preferably, the identification module identifies the creativity of the cultivated creatures by comparing the creativity models and influencing the identification. Whether the cultivated organisms can be harvested or not can be rapidly identified by means of the module.
Preferably, the remote monitoring system comprises a computer and/or a mobile terminal. The control of many terminals can make things convenient for the personnel of breeding to monitor anytime and anywhere.
Preferably, the remote monitoring system comprises a display interface and an instruction module, wherein the display interface is used for displaying and monitoring culture parameters of the cultured organisms, and the instruction module is used for issuing control instructions to the automatic control module.
Preferably, the harvest system comprises a harvest module and a commercialization module, the harvest module is used for fishing, cleaning and storing the cultured organisms, and the commercialization module is used for completing commercialized packaging based on body type classification of the cultured organisms. By means of the system, the work of the shipment stage of the cultured organisms can be automatically and quickly realized, the labor is reduced, and the efficiency is improved.
Further preferably, the harvest system further comprises a recognition module, the recognition module is used for providing the recognition success parameters for carrying out cultivation recognition evaluation. The arrangement of the accept module can facilitate outside personnel to accept and evaluate according to the culture conditions and the accept success parameters.
Further preferably, the health-care effect parameters comprise harvest time, harvest amount and bioavailability.
The intelligent culture system can reduce external influences such as human factors or environmental factors through the cooperative cooperation of the processing center, the remote monitoring system and the harvest system, thereby improving the success degree, the health degree and the harvest yield of cultured organisms. In addition, the automatic cultivation can be used for reducing the influence of labor cost and artificial carelessness, assisting a user to concentrate on the crops to be cultivated, improving the success probability of biological cultivation, and recording the cultivation program with high yield as the cultivation reference in the future.
Drawings
The accompanying drawings are included to provide a further understanding of the embodiments and are incorporated in and constitute a part of this specification. The drawings illustrate embodiments and together with the description serve to explain the principles of the invention. Other embodiments and many of the intended advantages of embodiments will be readily appreciated as they become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale relative to each other. Like reference numerals designate corresponding similar parts.
FIG. 1 is a schematic diagram of a framework of an intelligent farming system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a processing center according to an embodiment of the present invention;
FIG. 3 is a block diagram of a remote monitoring system in accordance with a specific embodiment of the present invention;
FIG. 4 is a block diagram of a harvest system according to an embodiment of the invention;
the meaning of each number in the figure: 100. the system comprises an intelligent breeding system, 200, a processing center, 210, an automatic control module, 220, a monitoring module, 230, an identification module, 300, a remote monitoring system, 310, a display interface, 320, an instruction module, 400, a harvest system, 410, an automatic harvest module, 420, a commercialization module, 430 and a recognition module.
Detailed Description
In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the invention may be practiced. In this regard, directional terminology, such as "top," "bottom," "left," "right," "up," "down," etc., is used with reference to the orientation of the figure(s) being described. Because components of embodiments can be positioned in a number of different orientations, the directional terminology is used for purposes of illustration and is in no way limiting. It is to be understood that other embodiments may be utilized and logical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined by the appended claims.
FIG. 1 shows a framework schematic of an intelligent farming system according to an embodiment of the present invention. As shown in fig. 1, the intelligent aquaculture system 100 includes a processing center 200, a remote monitoring center 300 and a receiving system 400, data interaction exists between the remote monitoring system 300 and the processing center 200, and between the processing center 200 and the receiving system 400, specifically, the remote monitoring system 300 can receive aquaculture data monitored by the processing center 200 for monitoring by aquaculture personnel, and the aquaculture personnel can send corresponding control instructions to the processing center 200 according to the aquaculture data; the receiving system 400 automatically receives the recognition result based on the receiving of the processing center 200, and pushes the corresponding commercialized record to the remote monitoring system 300 through the processing center 200 for the user to view.
In a specific embodiment, the intelligent aquaculture system 100 can monitor and identify the current aquaculture status of aquaculture organisms, the aquaculture organisms can be one or more of, for example, the current aquaculture status of prawns, the processing center 200 provides at least one aquaculture regulation and control program to monitor and identify the current aquaculture status, the remote monitoring system 300 can regulate and control an automated aquaculture parameter of one of the aquaculture regulation and control programs and transmit the automated aquaculture parameter to the processing center 200, and the receiving system 400 is used for preparing for shipment of the aquaculture organisms and collecting the automated aquaculture parameter of the aquaculture regulation and control program of the remote monitoring system 300 as a reference for a subsequent aquaculture cycle.
In a specific embodiment, before implementing the intelligent aquaculture system of the present application, a pretreatment of aquaculture may be performed, specifically, a pre-project setting or a regular operation project needs to be completed in advance before entering an actual aquaculture biological process. The pre-treatment of cultivation includes, but is not limited to, farm design, site selection and renting, environment construction and establishment, cultivation equipment erection, monitoring equipment erection, cultivation equipment commissioning, regular plant patrol and the like. After the plant is set up, the operation of the intelligent aquaculture system 100 of the present application can be started.
With continued reference to FIG. 2, FIG. 2 illustrates a block diagram of a processing center according to an embodiment of the invention, as shown in FIG. 2, the processing center 200 includes an automated control module 210, a monitoring module 220, and a recognition module 230. The automation control module 210 is used for performing automatic operation control on the cultivation adjustment equipment, the monitoring module 220 is used for monitoring the automatic cultivation parameters of the processing center, and the identification module 230 is used for identifying at least one feature point of the cultivated living beings. The processing center 200 can monitor and identify the cultivation situation at any time by cultivation control methods including but not limited to AI, automation, etc., to optimize the cultivation process and standardize the cultivation process through records.
In a specific embodiment, the actions of the automatic control module 210 for performing automatic operation control on the cultivation adjusting device may include feeding feed, feeding water quality adjusting agent, discharging sewage and changing water, temperature control, oxygen content control, voltage control, etc., and the automatic control module 210 may directly complete the conventional manual operation to perform the operation of the full-automatic cultivation program.
In an embodiment, the monitoring technique used by the monitoring module 220 includes a photoelectric colorimetry, an electrode method, and an image recognition method to monitor cultivation parameters (but not limited to the above parameters) such as nitrite, vibrio, ammonia nitrogen, salinity, pH, dissolved oxygen, and temperature, which are used as the control basis of the automatic control module 210. The equipment monitoring items include, but are not limited to, running time, standby time, equipment maintenance conditions and the like, and the system can automatically match with the culture monitoring data to regulate and control the running mode of the equipment.
In one embodiment, the identification module 230 collects information for the identification feature points of the farmed organisms for remote monitoring by the system and the user. The identification method used by the identification module 230 includes comparison of the formable models of the cultured organisms and image identification, which is used to identify the parts including but not limited to appearance feature points, color, body type, activity level, and feed status of the cultured organisms, and is used as the control basis of the automatic control module 210.
Fig. 3 is a schematic diagram of a remote monitoring system according to a specific embodiment of the present invention, and as shown in fig. 3, a remote monitoring system 300 includes a display interface 310 and an instruction module 320. The display interface 310 can monitor the cultivation status of the cultivated living beings through a multi-user monitoring program and display on a multi-user monitoring platform, and the instruction module 320 issues a control instruction to the automation control module.
In an embodiment, the display interface 310 enables the user to know the current situation of cultivation through the display screen by using a monitoring program applicable to multiple devices provided by the system, and issues a command to the intelligent cultivation system 100 to perform cultivation control through the command module 320 when the user needs to manually control the cultivation system. The multi-user monitoring platform of the intelligent cultivation system 100 includes a browser, a computer, and a mobile terminal (e.g., a mobile phone, a tablet computer, etc.), which can issue commands to the intelligent cultivation system 100 through the command module 320, and present related information in a screen for a user to use as a judgment basis and a monitoring point prompt.
In one embodiment, the command module 320 is used by a user to issue a command through the interface module 310, which can control the cultivation environment or cultivation process and the operation mode of the equipment to meet the user's requirements. The instruction module 320 includes, but is not limited to, necessary conditions for adjustment in cultivation, such as feed feeding, water quality adjustment, sewage discharge and water change, temperature adjustment, oxygen content adjustment, voltage adjustment, and equipment operation mode.
Referring finally to fig. 4, fig. 4 is a block diagram of a harvest system according to an embodiment of the present invention, wherein the harvest system 400 includes an automatic harvest module 410 and a commercialization module 420. The automatic harvest module 410 performs a fishing process, a dry cleaning process, a preservation process, etc. on the farmed organisms to complete harvest processing. The commercialization module 420 performs shipment preparation of the farmed organisms received by the automatic receiving module 410 through the commercialization module 420, and the commercialization module 420 performs shipment preparation of the farmed organisms through steps of organism body type classification, packaging procedure, and finished product record.
In a preferred embodiment, the harvest system 400 may further include a feeding module 430 providing at least one feeding achievement parameter for outside users to perform feeding assessment. The nutritional achievement parameters include, but are not limited to, time to harvest, amount to harvest, bioavailability, and other parameters for the external user to perform the nutritional assessment. According to the self-culture conditions and the culture acceptance evaluation provided by the acceptance module 430, the external user can know the acceptance result parameters of the cultured organisms in advance, and the external user is helped to obtain the optimal culture result.
By the intelligent culture system 100, external influences such as human factors or environmental factors can be reduced, so that the success degree, health degree and yield of cultured organisms are improved. In addition, the influence of labor cost and human carelessness can be reduced through automatic cultivation, a user is assisted to concentrate on crops to be cultivated, the success probability of biological cultivation is improved, and the cultivation program with high yield is recorded to be used as a cultivation reference in the future. Furthermore, through the setting of the identification module 230 of the processing center 200, the cultured organisms can be confirmed without manual grasping, the damage to the cultured organisms is reduced, and the setting of the remote monitoring system 300 also helps to reduce the demand of the number of management people in the farm, and the labor cost is reduced.
It will be apparent to those skilled in the art that various modifications and variations can be made in the embodiments of the present invention without departing from the spirit or scope of the invention. In this way, if these modifications and changes are within the scope of the claims of the present invention and their equivalents, the present invention is also intended to cover these modifications and changes. The word "comprising" does not exclude the presence of other elements or steps than those listed in a claim. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage. Any reference signs in the claims shall not be construed as limiting the scope.

Claims (10)

1. An intelligent farming system, comprising:
the processing center is used for monitoring and identifying the current cultivation condition in real time and carrying out automatic operation control on the cultivation adjusting equipment;
the remote monitoring system is used for monitoring the culture parameters and uploading the culture parameters to the processing center for automatic regulation and control;
and the harvest system judges the harvestability of the cultured organisms based on the identification of the processing center, automatically harvests and commercializes the cultured organisms, and records the automatic culture parameters in the culture period of the cultured organisms.
2. The intelligent aquaculture system of claim 1 wherein said processing center comprises an automated control module for automated operational control of said aquaculture conditioning equipment, a monitoring module for monitoring said automated aquaculture parameters, and an identification module for identifying aquaculture characteristics of said aquaculture organisms.
3. The intelligent aquaculture system of claim 2 wherein the automated operational controls include feed delivery, water quality control, temperature control, oxygen content control, and voltage control.
4. The intelligent aquaculture system of claim 2 wherein the monitoring module monitors the automated aquaculture parameters by means including photoelectric colorimetry, electrode methods and image recognition.
5. The intelligent farming system of claim 2 wherein the identification module identifies the harvestability of the farmed organisms using harvest model alignment and impact identification.
6. The intelligent farming system of claim 1, wherein the remote monitoring system comprises a computer and/or a mobile terminal.
7. The intelligent aquaculture system of claim 2 wherein the remote monitoring system comprises a display interface for displaying the aquaculture parameters for monitoring the farmed organisms and an instruction module for issuing control instructions to the automated control module.
8. The intelligent aquaculture system of claim 1 wherein the harvest system comprises harvest modules for harvesting, cleaning and storing the farmed organisms and commercialization modules for completing the commercial packaging based on the classification of the body types of the farmed organisms.
9. The intelligent farming system of claim 8 wherein the harvest system further comprises a adoption module for providing adoption outcome parameters for farming adoption assessment.
10. The intelligent farming system of claim 9 wherein the adoption outcome parameters include harvest time, harvest volume, and bioavailability.
CN202110679822.7A 2021-06-18 2021-06-18 Intelligent breeding system Pending CN115486389A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110679822.7A CN115486389A (en) 2021-06-18 2021-06-18 Intelligent breeding system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110679822.7A CN115486389A (en) 2021-06-18 2021-06-18 Intelligent breeding system

Publications (1)

Publication Number Publication Date
CN115486389A true CN115486389A (en) 2022-12-20

Family

ID=84465398

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110679822.7A Pending CN115486389A (en) 2021-06-18 2021-06-18 Intelligent breeding system

Country Status (1)

Country Link
CN (1) CN115486389A (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201392346Y (en) * 2009-01-21 2010-01-27 马三剑 Colorimetry ammonia nitrogen on-line automatic monitoring device
CN103792918A (en) * 2014-01-17 2014-05-14 无锡圩厍水产专业合作社 Intelligent fish farming system based on Internet of Things
CN103883138A (en) * 2014-04-02 2014-06-25 广西象州黄氏水稻研究所 Agriculture and fishery three-dimensional production automation engineering system
CN107479508A (en) * 2016-08-31 2017-12-15 苏州市申航生态科技发展股份有限公司 A kind of intelligent aquaculture execution system
CN108594911A (en) * 2018-05-30 2018-09-28 安徽润航农业科技开发有限公司 A kind of aquaculture management system
JP6401411B1 (en) * 2018-02-13 2018-10-10 株式会社Aiハヤブサ Artificial intelligence catch identification system, management system and logistics system
CN108710350A (en) * 2018-05-23 2018-10-26 马鞍山中粮生物化学有限公司 A kind of intelligence aquaculture system
CN108901982A (en) * 2018-05-28 2018-11-30 苏州格目软件技术有限公司 A kind of fishery cultivating system based on agricultural machinery
CN108990920A (en) * 2018-08-05 2018-12-14 南京江宁台湾农民创业园发展有限公司 A kind of rule fish pond fishing system
KR20190096509A (en) * 2018-02-09 2019-08-20 주식회사 코스코이 Management system for fish cage aquaculture
NO344409B1 (en) * 2018-08-06 2019-12-02 Soerensen Even Device, system and procedure for sorting cleaner fish
CN111551609A (en) * 2019-02-11 2020-08-18 山东东润仪表科技股份有限公司 Anti-interference ammonia nitrogen sensor based on multi-parameter compensation
KR20200128221A (en) * 2019-04-18 2020-11-12 이기택 Smart fish farm management system
WO2020251224A1 (en) * 2019-06-12 2020-12-17 주식회사 황토원 Participatory fish farm system

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201392346Y (en) * 2009-01-21 2010-01-27 马三剑 Colorimetry ammonia nitrogen on-line automatic monitoring device
CN103792918A (en) * 2014-01-17 2014-05-14 无锡圩厍水产专业合作社 Intelligent fish farming system based on Internet of Things
CN103883138A (en) * 2014-04-02 2014-06-25 广西象州黄氏水稻研究所 Agriculture and fishery three-dimensional production automation engineering system
CN107479508A (en) * 2016-08-31 2017-12-15 苏州市申航生态科技发展股份有限公司 A kind of intelligent aquaculture execution system
KR20190096509A (en) * 2018-02-09 2019-08-20 주식회사 코스코이 Management system for fish cage aquaculture
JP6401411B1 (en) * 2018-02-13 2018-10-10 株式会社Aiハヤブサ Artificial intelligence catch identification system, management system and logistics system
CN108710350A (en) * 2018-05-23 2018-10-26 马鞍山中粮生物化学有限公司 A kind of intelligence aquaculture system
CN108901982A (en) * 2018-05-28 2018-11-30 苏州格目软件技术有限公司 A kind of fishery cultivating system based on agricultural machinery
CN108594911A (en) * 2018-05-30 2018-09-28 安徽润航农业科技开发有限公司 A kind of aquaculture management system
CN108990920A (en) * 2018-08-05 2018-12-14 南京江宁台湾农民创业园发展有限公司 A kind of rule fish pond fishing system
NO344409B1 (en) * 2018-08-06 2019-12-02 Soerensen Even Device, system and procedure for sorting cleaner fish
CN111551609A (en) * 2019-02-11 2020-08-18 山东东润仪表科技股份有限公司 Anti-interference ammonia nitrogen sensor based on multi-parameter compensation
KR20200128221A (en) * 2019-04-18 2020-11-12 이기택 Smart fish farm management system
WO2020251224A1 (en) * 2019-06-12 2020-12-17 주식회사 황토원 Participatory fish farm system

Similar Documents

Publication Publication Date Title
CN109145032B (en) Intelligent monitoring method and system for bee breeding
CN107229947A (en) A kind of banking and insurance business method and system based on animal identification
CN106774540B (en) A kind of intelligent culture control system based on video identification
CN105794657A (en) Industrial intelligent livestock cultivation system
CN206960988U (en) A kind of intelligence based on cloud framework is breeded fish monitoring system
CN107318694A (en) The wearable device and its management system for breeding and method of milk cow
CN108876652A (en) A kind of pregnant sow based on expert system finely feeds management system and feeding control method
TWI661770B (en) Intelligent deep learning agricultural and fishery training system
CN111476149A (en) Plant cultivation control method and system
CN103823437A (en) Aquaculture intelligent control system with portable monitoring device
CN111387138B (en) Individual control livestock and poultry breeding method
CN108830345A (en) The intelligent management of one boar cultivates cloud service system
CN106203834A (en) A kind of pig farm doses information management system and method
CN114049235A (en) Agricultural information management system based on Internet of things
CN111290454A (en) Agricultural product culture system and method
CN208819102U (en) A kind of distributed intelligence is boarded at the nursery plant cultivation system
CN115486389A (en) Intelligent breeding system
CN117461575A (en) Intelligent healthy breeding data system for domestic pigs and platform thereof
CN111449000A (en) Cloud culture system and cloud culture method
CN205959293U (en) Cultivate selling device , cultivate management system and cultivation system of selling
CN111242797A (en) Prediction system and method for pigsty environment suitability
TWI787873B (en) Smart farming system
CN110187729A (en) A kind of aquaculture technology management and intelligent control system based on Internet of Things
CN115171036A (en) Plant management control method and system for intelligent agricultural greenhouse
KR102430887B1 (en) A mushroom cultivating management system based on AI by using an management robot

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