CN220626914U - Safety inspection system for dangerous goods emulsion explosive production line and warehouse - Google Patents
Safety inspection system for dangerous goods emulsion explosive production line and warehouse Download PDFInfo
- Publication number
- CN220626914U CN220626914U CN202322160824.2U CN202322160824U CN220626914U CN 220626914 U CN220626914 U CN 220626914U CN 202322160824 U CN202322160824 U CN 202322160824U CN 220626914 U CN220626914 U CN 220626914U
- Authority
- CN
- China
- Prior art keywords
- dangerous goods
- visual sensor
- detecting
- emulsion explosive
- personnel
- 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
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 30
- 238000007689 inspection Methods 0.000 title claims abstract description 20
- 239000002360 explosive Substances 0.000 title claims abstract description 19
- 239000000839 emulsion Substances 0.000 title claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 71
- 230000008569 process Effects 0.000 claims abstract description 55
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 23
- 239000010959 steel Substances 0.000 claims abstract description 23
- 238000002360 preparation method Methods 0.000 claims abstract description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 14
- 238000001816 cooling Methods 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 8
- 230000000007 visual effect Effects 0.000 claims description 54
- 238000012544 monitoring process Methods 0.000 claims description 27
- 238000012858 packaging process Methods 0.000 claims description 10
- 238000007599 discharging Methods 0.000 claims description 5
- 230000003993 interaction Effects 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract description 14
- 238000012856 packing Methods 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000011158 quantitative evaluation Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A safe inspection system for dangerous goods emulsion explosive production line and warehouse, including water oil phase preparation process, pharmacy process, steel band cooling process, belt feeder, loading process, packing process and loading process, dangerous goods storehouse room, including sensing detection and automatic control system, sensing control system: the utility model relates to the field of mechanical equipment, in particular to a safety inspection system and a safety inspection method of a dangerous goods emulsion explosive production line, which are arranged on a discharge pipeline of a water phase preparation tank in a water-oil phase preparation process and used for detecting water phase proportion. The utility model has the advantages that: (1) And a system for automatically detecting the safety of the process equipment of the dangerous goods emulsion explosive production line, the personnel and the personnel in the dangerous goods warehouse at regular intervals. The method realizes regular automatic inspection, automatic recording and automatic monthly statistics of the frequency of normal and illegal places or procedures, and initially forms the overall safety state and the initial evaluation opinion of the monitored object.
Description
Technical Field
The utility model relates to the field of mechanical equipment, in particular to a safety inspection system and a safety inspection method of a dangerous goods emulsion explosive production line.
Background
The intelligent safety supervision technology is developed, and the basis for processing and rectifying measures is provided for safety management departments by utilizing an Internet 5G network to realize judgment conclusion formed by automatic monitoring, analysis and early warning of dangerous goods emulsion explosive production lines of the whole group company, personnel of dangerous goods warehouse and process equipment operation.
The operation of the existing 1, dangerous goods emulsion explosive production line process equipment is recorded manually, and the mode is time-consuming and labor-consuming;
2. the operation of dangerous goods emulsion explosive production line process equipment is manually observed, and the mode is time-consuming and labor-consuming.
Disclosure of Invention
The utility model aims to overcome the defects, and provides a safety inspection system and a safety inspection method for dangerous goods emulsion explosive production lines and warehouses.
The utility model comprises a water-oil phase preparation process, a pharmaceutical process, a steel belt cooling process, a belt conveyor, a charging process, a packaging process, a loading process and a dangerous goods warehouse,
it is characterized by comprising a sensing detection and automatic control system,
and a sensing control system:
the density sensor is arranged on a discharging pipeline of the water phase preparation tank in the water-oil phase preparation process and is used for detecting the water phase proportion,
a first visual sensor arranged on the steel belt in the steel belt cooling procedure and used for monitoring the running state of the steel belt in real time,
a second visual sensor arranged in the steel strip cooling process and used for detecting personnel configuration in the steel strip cooling process,
a third vision sensor arranged in the pharmaceutical process for detecting personnel configuration in the pharmaceutical process,
a fourth visual sensor arranged on the cartridge belt conveyor and used for monitoring the belt conveyor in real time,
a fifth visual sensor arranged in the charging process and used for detecting personnel configuration in the charging process,
a sixth visual sensor provided in the packaging process for detecting a person configuration in the packaging process,
a seventh visual sensor provided in the loading process for detecting the arrangement of personnel in the loading process,
an eighth visual sensor, which is arranged on the door of the dangerous goods warehouse and is used for detecting the configuration of personnel entering the dangerous goods warehouse,
the density sensor, the first visual sensor, the second visual sensor, the third visual sensor, the fourth visual sensor, the fifth visual sensor, the sixth visual sensor, the seventh visual sensor and the eighth sensor are respectively connected with the PLC,
the PLC is connected with the alarm device through the PLC.
The man-machine interaction interface is connected with the PLC.
The local monitoring terminal is connected with the PLC.
And the remote server is connected with the local monitoring terminal through a gateway.
The utility model has the advantages that:
(1) And a system for automatically detecting the safety of the process equipment of the dangerous goods emulsion explosive production line, the personnel and the personnel in the dangerous goods warehouse at regular intervals. The method realizes regular automatic inspection, automatic recording and automatic monthly statistics of the frequency of normal and illegal places or procedures, and initially forms the overall safety state and the initial evaluation opinion of the monitored object.
(2) An automatic detection system for overrun of operation parameters of dangerous article emulsion explosive production line and overrun of critical process personnel and personnel in dangerous article warehouse. The method realizes the automatic recording and snapshot of the equipment operation parameter overrun and critical procedure personnel overrun behavior throughout the day, automatically counts the frequency of illegal places and procedures by month, evaluates the unsafe state of a monitored object, and proposes a preliminary measure of safety correction.
Drawings
Fig. 1 is a schematic diagram of the structure of the present utility model.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present utility model more apparent, the technical solutions of the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model, and it is apparent that the described embodiments are some embodiments of the present utility model, but not all embodiments of the present utility model. The components of the embodiments of the present utility model generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the utility model, as presented in the figures, is not intended to limit the scope of the utility model, as claimed, but is merely representative of selected embodiments of the utility model. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without making any inventive effort, are intended to be within the scope of the utility model.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the embodiments of the present utility model, it should be noted that, if the terms "upper," "lower," "inner," "outer," and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, or the azimuth or the positional relationship in which the inventive product is conventionally put in use, it is merely for convenience of describing the present utility model and simplifying the description, and does not indicate or imply that the apparatus or element to be referred to must have a specific azimuth, be configured and operated in a specific azimuth, and thus should not be construed as limiting the present utility model. Furthermore, the terms "first," "second," and the like in the description of the present utility model, if any, are used for distinguishing between the descriptions and not necessarily for indicating or implying a relative importance.
In the description of the embodiments of the present utility model, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art.
As shown in the drawing, the utility model comprises a water-oil phase preparation process, a pharmaceutical process, a steel belt cooling process, a belt conveyor, a charging process, a packaging process, a loading process and a dangerous goods warehouse, and comprises a sensing detection and automatic control system,
and a sensing control system:
the density sensor is arranged on a discharging pipeline of the water phase preparation tank in the water-oil phase preparation process and is used for detecting the water phase proportion,
a first visual sensor arranged on the steel belt in the steel belt cooling procedure and used for monitoring the running state of the steel belt in real time,
a second visual sensor arranged in the steel strip cooling process and used for detecting personnel configuration in the steel strip cooling process,
a third vision sensor arranged in the pharmaceutical process for detecting personnel configuration in the pharmaceutical process,
a fourth visual sensor arranged on the cartridge belt conveyor and used for monitoring the belt conveyor in real time,
a fifth visual sensor arranged in the charging process and used for detecting personnel configuration in the charging process,
a sixth visual sensor provided in the packaging process for detecting a person configuration in the packaging process,
a seventh visual sensor provided in the loading process for detecting the arrangement of personnel in the loading process,
an eighth visual sensor, which is arranged on the door of the dangerous goods warehouse and is used for detecting the configuration of personnel entering the dangerous goods warehouse,
the density sensor, the first visual sensor, the second visual sensor, the third visual sensor, the fourth visual sensor, the fifth visual sensor, the sixth visual sensor, the seventh visual sensor and the eighth sensor are respectively connected with the PLC,
the PLC is connected with the alarm device through the PLC.
The man-machine interaction interface is connected with the PLC.
The local monitoring terminal is connected with the PLC.
And the remote server is connected with the local monitoring terminal through a gateway.
A safety inspection method of a safety inspection system by using a dangerous goods emulsion explosive production line and a warehouse,
an online density detector is arranged on the discharging pipeline of the water phase preparation tank and is used for detecting the density of liquid in the discharging pipeline of the water phase preparation tank;
the corresponding relation program of water phase temperature, water phase density and proportion: automatically detecting whether the water phase proportion is correct or not, and automatically alarming and prompting by a system when deviation occurs;
visual recognition system for steel belt deviation: monitoring the steel belt in real time, and immediately alarming and prompting when the deviation of the steel belt is monitored;
designing a monitoring system for personnel in the area where the steel belt platform is installed by mistake, and immediately alarming and prompting when external personnel enter the area;
staff monitoring visual recognition system: and monitoring the number of online personnel simultaneously in real time, and giving a warning when the number exceeds the specified number.
Staff monitoring visual recognition system: and monitoring the number of the personnel on line simultaneously in real time, and alarming if the number of the personnel exceeds 1 in the charging procedure simultaneously.
Staff monitoring visual recognition system: and monitoring the number of the simultaneous online personnel in real time, and alarming if the number of the simultaneous online personnel exceeds 2 in the packaging process.
The grading standard of the safety inspection system of the dangerous goods emulsion explosive production line and the warehouse comprises the following specific steps:
(a) Rule 1: calculating a score once a day in units of days, and fully dividing into 100 points;
(b) Rule 2: the production line overtime punishment is only related to the overtime number, and the overtime time is not considered. Counting the total number of times of overtime n1 times a day in each working procedure of the production line, and buckling x1 minutes (the value is originally 0.5 minutes and can be adjusted according to actual conditions) once for overtime;
(c) Rule 3: the production line equipment and the process parameters are related to the number of overrun points, overrun time length and overrun amplitude, and the deducted score increases linearly with the number of overrun points and the overrun time length and increases nonlinearly with the overrun amplitude. According to this principle: (c1) 1 measuring point is recorded to exceed 1 minute by 2 percent, and x2 minutes is buckled (the value is originally 0.5 minutes and can be adjusted according to actual conditions). A total of n2 measuring points in this case super-amplitude t2 minutes; (c2) 1 measuring point is recorded to exceed 1 minute by 4 percent, and x3 minutes is buckled (the value is originally defined as 2 minutes and can be adjusted according to actual conditions). A total of n3 measuring points in this case superwidth t3 minutes; (c3) 1 measuring point is recorded to exceed 1 minute by 6 percent, and x4 points are buckled (the value is originally 8 points and can be adjusted according to actual conditions). A total of n4 measuring points in this case super-amplitude t4 minutes; (c4) 1 measuring point is recorded to exceed 1 minute by 8 percent, and x5 minutes is buckled (the value is originally defined as 32 minutes and can be adjusted according to actual conditions). A total of n5 measuring points in this case superwidth t5 minutes;
intelligent safety inspection monitoring system: and automatically monitoring the operators of key processes of each production line, equipment operation parameters, process parameters and operators of dangerous goods warehouse in a set sampling period range, forming a data report, generating a radar chart, and judging the operation quality level of the production line.
Overrun intelligent monitoring system: and collecting the number of times of overrun of operators, equipment operation parameters, process parameters, key equipment parameters and warehouse operators of each production line, generating radar images and areas every day, and storing overrun photos and data.
Data analysis system: and forming a data report by using the per-week, month, quarter and year overtime times of the personnel, equipment operation parameters, process parameters, key equipment parameters and warehouse personnel on each production line, and generating a radar chart and an area. Generating a histogram or other figures for the similar data of the same production line, and comparing the safe running conditions of the same production line; forming a trend analysis graph for various data of the same production line, and judging the safety production condition; and performing intelligent analysis according to the statistical data.
Technical advantages are that:
based on the Yolo framework development, python language;
operating environment: unbunt 20X 64;
database: mysql 5.7x64;
the technical requirements of the early-stage construction are as follows:
all relevant devices need to be connected with the network normally, so that the bandwidth of the gigabit network is guaranteed, and no obvious packet loss exists.
The visual recognition processing speed is related to image quality, network, recognition content and the like. The process recognizes about 50-150 ms/frame. The server processes the image information using a polling mechanism. If the camera node needs to be identified and alarmed quickly, an independent channel is suggested to be adopted, so that the speed is ensured.
The algorithm currently provided: dangerous areas (personnel number identification) can be divided; (out-of-range behavior, the camera view angle needs to be adjusted in a matching way, and the prejudgment area is covered without shielding);
the camera installation angle, the camera installation position and the visual field have a certain relation to the identification accuracy;
regarding the identification:
the recognition rate of the visual detection algorithm can be adjusted to be about 80-90% after a period of time. The actual working environment is interfered by other factors such as illumination, visual angle, and the like, and the current technology in the industry cannot achieve 100% accuracy.
Visual detection is the detection of motion that persists for a period of time. Considering external factors such as visual angle, definition and the like, not every picture can be detected correctly;
such as face recognition, can be recognized by the person facing the camera at the front and held stationary for a few seconds. So that face recognition is impossible by snap shots with the monitoring camera mounted on top of the process.
Device function profile:
AI visual inspection server (machine room). Providing a snapshot picture storage service for performing visual analysis and definition on an accessed network camera video stream;
client computer: the user can check the alarm data and take the snap pictures, and the sound box is configured to realize sound alarm;
the wall of the network camera shooting gun machine (explosion-proof) is installed, and the installation position and the visual field range are determined according to the on-site charging machine;
hoisting a network shooting hemisphere (explosion-proof), shooting the ground at the top of a charging machine, and requiring no shielding of boundaries;
the display board software realizes the display of the cockpit display board and the projection of the screen picture to the large screen of the monitoring center for display through the client computer.
Overall security status evaluation system:
based on an intelligent safety inspection monitoring system, an overrun intelligent monitoring statistical system and a normal operation level and overrun early warning intelligent analysis system, a safety state evaluation system is comprehensively formed.
The system adopts a quantitative evaluation mode, based on the selected safety management factor item of the qualitative evaluation of safety management personnel, quantitative calculation is carried out on the aspects of technology, equipment, facilities, environment, personnel, management and the like in the production process on the basis of a large amount of acquired data by utilizing an index system and a corresponding algorithm model, and finally a digital quantitative safety index is formed. The system has the following characteristics:
systematic: the subsystem and factor items forming the security evaluation system have multi-hierarchy and multi-objective, and the factor items are mutually complemented, so that the actual security operation condition of enterprises is fully embodied.
Objectivity: the system carries out comprehensive evaluation in a quantitative mode based on a large amount of collectable data, the evaluation data is real, and the evaluation method is objective.
Layering: the system is integrally constructed according to the embodiment of the comprehensive evaluation system, the subsystem and the factor item, has clear level and clear logic relationship, is convenient for grasping the main factors and also takes account of the secondary factors.
Operability of: the factor item selection of the evaluation system is based on the standard of civil explosive industry arrangement evaluation and the qualitative evaluation of safety personnel, and each factor item formed after the disassembly has the characteristics of clear, simple and clear meaning, convenient collection of basic data, simple calculation method, easy quantification and the like, and ensures the operability of the construction of the whole evaluation system.
Claims (4)
1. A safety inspection system for dangerous goods emulsion explosive production lines and warehouses comprises a water-oil phase preparation process, a pharmaceutical process, a steel belt cooling process, a belt conveyor, a charging process, a packaging process, a loading process and a dangerous goods warehouse,
it is characterized by comprising a sensing detection and automatic control system,
and a sensing control system:
the density sensor is arranged on a discharging pipeline of the water phase preparation tank in the water-oil phase preparation process and is used for detecting the water phase proportion,
a first visual sensor arranged on the steel belt in the steel belt cooling procedure and used for monitoring the running state of the steel belt in real time,
a second visual sensor arranged in the steel strip cooling process and used for detecting personnel configuration in the steel strip cooling process,
a third vision sensor arranged in the pharmaceutical process for detecting personnel configuration in the pharmaceutical process,
a fourth visual sensor arranged on the cartridge belt conveyor and used for monitoring the belt conveyor in real time,
a fifth visual sensor arranged in the charging process and used for detecting personnel configuration in the charging process,
a sixth visual sensor provided in the packaging process for detecting a person configuration in the packaging process,
a seventh visual sensor provided in the loading process for detecting the arrangement of personnel in the loading process,
an eighth visual sensor, which is arranged on the door of the dangerous goods warehouse and is used for detecting the configuration of personnel entering the dangerous goods warehouse,
the density sensor, the first visual sensor, the second visual sensor, the third visual sensor, the fourth visual sensor, the fifth visual sensor, the sixth visual sensor, the seventh visual sensor and the eighth sensor are respectively connected with the PLC,
the PLC is connected with the alarm device through the PLC.
2. The safety inspection system for dangerous goods emulsion explosive production lines and warehouses according to claim 1, wherein the man-machine interaction interface is connected with a PLC.
3. The safety inspection system for dangerous goods emulsion explosive production lines and warehouses according to claim 1, wherein the local monitoring terminal is connected with the PLC.
4. The system for the safe inspection of dangerous goods emulsion explosive production lines and warehouses according to claim 3, wherein the remote server is connected with the local monitoring terminal through a gateway.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322160824.2U CN220626914U (en) | 2023-08-11 | 2023-08-11 | Safety inspection system for dangerous goods emulsion explosive production line and warehouse |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322160824.2U CN220626914U (en) | 2023-08-11 | 2023-08-11 | Safety inspection system for dangerous goods emulsion explosive production line and warehouse |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN220626914U true CN220626914U (en) | 2024-03-19 |
Family
ID=90212655
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202322160824.2U Active CN220626914U (en) | 2023-08-11 | 2023-08-11 | Safety inspection system for dangerous goods emulsion explosive production line and warehouse |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN220626914U (en) |
-
2023
- 2023-08-11 CN CN202322160824.2U patent/CN220626914U/en active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111486893A (en) | Bridge structure health monitoring and early warning system and early warning method | |
| CN112966903A (en) | Dangerous chemical safety production risk monitoring and early warning system and method | |
| CN107065794A (en) | A kind of intelligent safety supervision management system and implementation method based on GIS geographical information platforms | |
| CN112216071A (en) | Intelligent chemical monitoring and early warning platform based on big data | |
| CN114997682B (en) | Construction site safety monitoring system and method based on big data | |
| CN112004061A (en) | Oil discharge flow normative intelligent monitoring method based on computer vision | |
| CN111488799A (en) | Falling object identification method and system based on image identification | |
| CN111178828A (en) | Method and system for building fire safety early warning | |
| CN115797850B (en) | Oil field production safety early warning analysis system based on video stream | |
| CN114022048A (en) | Method for constructing risk early warning platform of chemical industry park | |
| CN108764166B (en) | System and method for detecting position state of civil air defense door based on supporting rod | |
| CN110868568A (en) | Video monitoring method and device for station outside air pipe | |
| CN109001210B (en) | System and method for detecting aging and cracking of sealing rubber strip of civil air defense door | |
| CN110540042A (en) | Belt feeder material piles up detecting system based on three-dimensional image and video technology | |
| CN116859800A (en) | Production workshop safety monitoring system and method based on complex event stream | |
| CN111126751A (en) | Intelligent inspection and safety monitoring early warning system and method based on mobile interconnection | |
| CN113792972A (en) | Fire safety management method | |
| CN220626914U (en) | Safety inspection system for dangerous goods emulsion explosive production line and warehouse | |
| CN107895453A (en) | Building safety warning system and method | |
| CN110989042A (en) | Intelligent prediction method for highway fog-clustering risk | |
| CN114137302A (en) | Monitoring system for whole verification process of electric energy metering device | |
| CN210884127U (en) | Belt feeder material piles up detecting system based on three-dimensional image and video technology | |
| CN117057636A (en) | Highway construction engineering safety dynamic evaluation monitoring method based on digital technology | |
| CN116882899A (en) | Safety inspection system for dangerous goods emulsion explosive production line and warehouse and scoring standard thereof | |
| CN113157526B (en) | Log auditing system based on power monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |