CN109655009A - A kind of high-speed rail component rapid detection system - Google Patents
A kind of high-speed rail component rapid detection system Download PDFInfo
- Publication number
- CN109655009A CN109655009A CN201710932467.3A CN201710932467A CN109655009A CN 109655009 A CN109655009 A CN 109655009A CN 201710932467 A CN201710932467 A CN 201710932467A CN 109655009 A CN109655009 A CN 109655009A
- Authority
- CN
- China
- Prior art keywords
- speed rail
- rail component
- data
- subsystem
- point cloud
- 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
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
Abstract
The present invention discloses a kind of high-speed rail component rapid detection system, belongs to detection system field.It includes several assembly lines and data administration subsystem;Every assembly line includes 3 D laser scanning subsystem, point cloud pretreatment subsystem and analytical calculation subsystem;High-speed rail component surface point cloud data after the processing of 3 D laser scanning subsystem Quick Acquisition;The obtained point cloud data of scanning is denoised, is simplified and reconstruction processing by point cloud pretreatment subsystem;Treated that point cloud data analyses whether to meet poor demand limit compared with design value by calling for analytical calculation subsystem.The system has the ability that real-time online detects high-speed rail component, data collection system and data processing system are integrated in one, by the acquisition of data, transmission, storage, processing analysis and generate quality testing report integration, enterprise produces quality testing department can control acquisition detection data by terminal server, functional department can transfer quality inspection report at any time, greatly reduce manpower, improves production efficiency.
Description
Technical field
The invention belongs to detection system field, especially a kind of high-speed rail component rapid detection system.
Background technique
Railway transportation equipment is the weight in the important representative of the high-end equipment going global in China, and " made in China 2025 "
Want content.On the one hand the manufacture of the component of conventional rails traffic at present haves the characteristics that component type is more, quantity is big, another aspect track
Transportation industry requires strictly component product quality inspection, thus causes to examine Detection task heavy.However current conventional components
Detection technique not only large labor intensity, low efficiency, are not usually able to satisfy the needs of production cycle, and there are detection accuracy can not
By etc. weak links, thus become rail traffic development of manufacturing bottleneck.
With the development of computer software technology and laser measuring technique, the non-contact measuring technology based on laser light source
Industrially just gradually it is widely used.Three-dimensional laser scanning technique use non-contact measurement method, can quick obtaining high-precision,
The coordinate of high density material object surface sampled point, establishes the 3 d surface model of object.Due to it with rapidity, not contact,
Three-dimensional laser scanning technique is applied to component quality detection by the characteristics such as penetrability, real time and dynamic, high density, high-precision, can
Greatly to improve working efficiency.Therefore the three-dimensional that exploitation real-time is good, measurement accuracy is high, parameter extraction is simple, versatility is good
Laser scanning component detection system has important meaning to application relevant to intelligent recognition, detection etc. in industrial automation production
Justice.
Summary of the invention
To solve the prior art there are large labor intensity, low efficiency and the insecure defect of detection accuracy, the present invention is provided
One kind being capable of Quick Acquisition high-speed rail component surface three dimensional point cloud, and measurement member in critical location information real-time, quickly online
And the high-speed rail component rapid detection system detected.
To achieve the above object, the present invention adopts the following technical solutions:
A kind of high-speed rail component rapid detection system, it includes several parallel streams being arranged according to high-speed rail component different type
Waterline and data administration subsystem, the calculating knot that each assembly line obtains high-speed rail component information after scanning, processing and analysis
Fruit is summarized in data administration subsystem, and stores for calling;
Every assembly line includes 3 D laser scanning subsystem, point cloud pretreatment subsystem and analytical calculation subsystem;
High-speed rail component surface point cloud data after the processing of 3 D laser scanning subsystem Quick Acquisition;
The obtained point cloud data of scanning is denoised, is simplified and reconstruction processing by point cloud pretreatment subsystem;
Analytical calculation subsystem analyses whether to meet limit by calling treated point cloud data, and compared with design value
Difference requires.
Further, 3 D laser scanning subsystem sweeps high-speed rail component using high-precision three-dimensional laser scanner
It retouches, and the high-speed rail component surface point cloud data that scanning obtains is stored in high-speed rail component base.
Further, high-precision three-dimensional laser scanner is that portable laser measures arm, and scanning accuracy is greater than
0.5mm。
Further, portable laser measurement arm is rotated in measurement process by screen operator to realize complete number
According to acquisition, and with mechanical arm work compound;The mechanical arm is for grabbing components and acquiring components overall data.
Further, by treated, point cloud data carries out data management and data analysis to point cloud pretreatment subsystem.
Further, analytical calculation subsystem passes through point of invocation cloud preprocessing subsystem treated point cloud data and flowing water
Line configuration information obtains corresponding high-speed rail component algorithm and is calculated, and the data volume of crucial detection position is completed based on point cloud data
It surveys, and compared with design value, analyses whether to meet poor demand limit;By calculated result information preservation to txt file, and according to calculating
As a result it generates serial number and testing result, print label is simultaneously attached on corresponding high-speed rail component automatically.
Further, data administration subsystem management includes 3 D laser scanning information, high-speed rail component components information, height
Iron component model of parts information, quality testing computational algorithm and high-speed rail component components laser scanning data;It is deposited by assembly line
Data are stored up, generate the quality report of each high-speed rail component on each assembly line, and for transferring and downloading in real time.
The utility model has the advantages that
1. the present invention is based on three-dimensional laser scanning technique, by computer technology, network technology, sensor technology, industry
Measuring technique combine applied to rail traffic components manufacture based on high-speed rail component intelligent Detection in.Based on three
Tie up laser scanner technique, can online Quick Acquisition high-speed rail component surface point cloud data, handle a cloud to obtain in real time
It takes high-speed rail component detection information to reduce manpower compared with traditional detection method, substantially increases the detection work of high-speed rail component
Efficiency.
2. the present invention by data administration subsystem, may be implemented to scanner, assembly line, component point cloud data, calculate
Algorithm and report file etc. are managed, and improve working efficiency and office automation.
3. the plane that the present invention is suitable for high-speed rail component is extracted and cylindrical surface extraction algorithm and measured value computation model, grind
Study carefully member in critical value measurement data and design data automatic comparison algorithm, improves measurement and detection essence based on point cloud data
Degree.
Detailed description of the invention
Fig. 1 is composition schematic diagram of the present invention;
Fig. 2 is work flow diagram of the present invention;
Fig. 3 is 3 D laser scanning subsystem data collection process schematic diagram;
Fig. 4 is analytical calculation subsystem schematic diagram of the present invention;
Fig. 5 is analytical calculation subsystem work flow chart;
Fig. 6 is data administration subsystem schematic diagram of the present invention.
Specific embodiment
Present invention will be further explained below with reference to the attached drawings and examples.
A kind of high-speed rail component rapid detection system of the present invention, it is based on three-dimensional laser scanning technique and mechanical manufacturing technology
In the high-speed rail component process data intelligence acquisition process analysis system of one, as shown in Figure 1, it is by different according to high-speed rail component
The assembly line and data administration subsystem 2 that the N item of type setting is parallel form, and the analysis result of each assembly line is summarized in number
According to management subsystem 2 and store for calling.Every assembly line is by 3 D laser scanning subsystem 11, points cloud processing subsystem 12
It is formed with analytical calculation subsystem 13, is respectively used to scanning, processing and analysis component information.
As shown in Fig. 2, being the workflow of high-speed rail component rapid detection system.3 D laser scanning subsystem 11 is quickly adopted
High-speed rail component surface point cloud data after collection processing;Point cloud pretreatment subsystem 12 removes the component point cloud data that scanning obtains
Make an uproar, simplify and reconstruction processing;Analytical calculation subsystem 13 is by calling treated component point cloud data to calculate, and and design value
Compare, analyses whether to meet poor demand limit;Data administration subsystem 2 stores data, handled and is shown and generates quality
Examining report.The system has the ability that real-time online detects high-speed rail component, by data collection system and data processing
System is integrated in one, and analyzes and generate quality testing report integration, enterprise's production for the acquisition of data, transmission, storage, processing
Quality testing department can be controlled by terminal server and obtain detection data, and functional department can transfer quality inspection report at any time, be subtracted significantly
Few manpower, improves production efficiency.
3 D laser scanning subsystem 11 is (portable to swash including console, high-precision three-dimensional laser scanner in the present invention
Light measurement arm 111), station and mechanical arm 112.High-precision three-dimensional laser scanner mainly by laser emitter, receiver,
The composition such as the rotatable optical filtering of time counter, motor control, control circuit board, micro computer and software.Due to high-speed rail component
It cannot arbitrarily be moved during measurement, exist and block;And components manufacturing works region is narrow, and it is dead to be easy to produce scanning
Angle limits the use of the three-dimensional laser scanner using ground tripod in this way, can not be (special to complete components are obtained
It is not complicated industrial part) laser scanning data.Therefore, the use of 3 D laser scanning subsystem 11 is portable in the present invention
Formula laser measurement arm 111, portable laser measurement arm 111 is easy to operate, can be realized in measurement process by screen operator flexibly
Rotation guarantees complete data acquisition.A mechanical arm 112 is installed, for grabbing components, is conducive to components and integrally counts
According to acquisition.High-speed rail component conveying on computer control assembly line in console, control portable laser measurement arm 111 are swept
It retouches, control mechanical arm 112 works.Station mainly carries scanned high-speed rail component.
As shown in figure 3, being data acquisition schematic diagram.Arm 111 is measured to portable laser first before acquiring data
Equipment Alignment is carried out with mechanical arm 112.Control system controls high-speed rail component on station, according to the high-speed rail component on console
The key position parameter that type setting needs to detect, is arranged the parameter in late detection algorithm, transfers such in high-speed rail component base
The design value of member in critical detection position;The portable laser measurement arm 111 of control system control simultaneously scans, and controls mechanical arm
112 work, the acquisition of Lai Jinhang data.The high-speed rail component point cloud data of control system control output scanning, high-speed rail member in critical position
The design value set acquires the selection of equipment.
Analytical calculation subsystem 13 as shown in Figure 4 is the kernel subsystems of this system.The subsystem is set with C/S framework
Meter is mainly responsible for and is extracted by high-speed rail member planar and cylindrical surface extraction algorithm and measured value computation model, measures component pass
The numerical value of key detection position;By computational algorithm, the difference between measured value and design value is calculated, and will test result and be stored in
Database.System setting function as shown in Figure 4, including assembly line setting, scanning component are arranged, component scan path is arranged,
Testing result file saves setting and sensed system parameter setting.Assembly line setting: which item stream analytical calculation subsystem 13 belongs to
Waterline, crucial check bit setting value measures compare after, when saving data, distinguish corresponding assembly line information, and with corresponding laser
Scanning device binding;Scanning component setting: the corresponding high-speed rail component information of current computing subsystem is analyzed, to select correspondence
Computational algorithm, measurement calculating is carried out for the characteristic value of the high-speed rail component;The setting of component scan path: selection three-dimensional laser is swept
After retouching pretreatment, when analytical calculation 13 poll of subsystem, all high-speed rail component point cloud files under corresponding folder can be searched, are opened
Dynamic multithreading is calculated: testing result file saves setting: analytical calculation subsystem 13 calculates the spy of corresponding high-speed rail component
After sign property information, it can save the data in local corresponding txt file;Sensed system parameter setting: setting is different types of
Parameter of the high-speed rail component in application amount method of determining and calculating and alignment algorithm.It, will be after the completion of analytical calculation subsystem 13 calculates detection
Under respective path, testing result information is saved, preserving type uses txt text formatting, saves a file, file designation daily
Rule is named according to the date.After analytical calculation subsystem 13 scans corresponding folder, after the completion of calculating detection, it will divide
Experiment result list is shown on analysis 13 client end interface of computing subsystem, and staff is provided and is checked.After the completion of calculating detection, stand
Corresponding detection serial number and testing result are generated, and carries out automatic printing, is automatically attached to the labeling of printing pair by assembly line
It answers on high-speed rail component.After the subsequent corresponding result by the export of data administration subsystem 2, it is possible to provide the mark of problematic high-speed rail component.
As shown in figure 5, being the workflow of analytical calculation subsystem 13.Obtain counterpart member information first, assembly line is matched
Then confidence breath obtains counterpart member computational algorithm and is calculated, then by calculated result information preservation to txt file, also wrapped
Assembly line information, characteristic value information, component information are included, corresponding calculated result is then assembled and is saved in Mysql database, then will
The 3D rendering file of caching is saved in MongoDB database, then generates serial number and testing result according to detection calculated result,
It is printed by printer and controls assembly line and paste label in counterpart member automatically, finally deleted and correspond to from CACHE DIRECTORY
3D rendering file.
As shown in fig. 6, for the data administration subsystem 2 of C/S architecture design, including three-dimensional laser scanner equipment pipe
Reason, high-speed rail component part management, the management of high-speed rail component model of parts, the management of quality testing computational algorithm, high-speed rail component zero
The data management of component three-dimensional laser, high-speed rail component components key detection data management and report file management.Three-dimensional laser is swept
It retouches instrument equipment management: being mainly responsible for the 3 D laser scanning facility information used in management system, the additions and deletions comprising equipment change
Function is looked into, and apparatus bound will be corresponded into assembly line;High-speed rail component part management: the high-speed rail structure of major maintenance system detection
Part information, and the CAD design figure information of corresponding high-speed rail component, the additions and deletions comprising high-speed rail component change Cha Gongneng;High-speed rail component zero
Partial model management: the main CAD design figure for passing through high-speed rail component components marks corresponding feature detected value and corresponding design
Standard value, corresponding detected value has the function of inquiry, newly-increased, deletion, and binds corresponding computational algorithm;Quality testing computational algorithm
Management: the computational algorithm of high-speed rail component components each in system is safeguarded, changes Cha Gongneng comprising additions and deletions;High-speed rail component zero
Part three-dimensional laser data management: inquiring the laser scanning data file detected in system, can individually show corresponding sharp
Optical scanning data, and corresponding algorithm is called to carry out calculating measurement;High-speed rail component components key detection data management: mainly include
The collection value of the corresponding eigenvalue of each high-speed rail component is inquired and is shown, and can provide table export download function;Report
File management: being mainly responsible for the generation and download function of report, according to corresponding report template format, adopts in conjunction with counterpart member feature
Set value exports corresponding report.
Limiting the scope of the invention, those skilled in the art should understand that, in technical solution of the present invention
On the basis of, the various modifications or variations that can be made by those skilled in the art with little creative work still of the invention
Within protection scope.
Claims (7)
1. a kind of high-speed rail component rapid detection system, it is characterised in that: if it includes being arranged according to high-speed rail component different type
The assembly line and data administration subsystem (2) of dry doubling row, assembly line described in each item by high-speed rail component information through scanning, processing and point
The calculated result obtained after analysis is summarized in data administration subsystem (2), and is stored for calling;
Every assembly line includes 3 D laser scanning subsystem (11), point cloud pretreatment subsystem (12) and analysis meter operator
System (13);
High-speed rail component surface point cloud data after 3 D laser scanning subsystem (11) the Quick Acquisition processing;
The obtained point cloud data of scanning is denoised, is simplified and reconstruction processing by the point cloud pretreatment subsystem (12);
The analytical calculation subsystem (13) analyses whether to accord with by calling treated point cloud data, and compared with design value
Close poor demand limit.
2. high-speed rail component rapid detection system according to claim 1, it is characterised in that: the 3 D laser scanning subsystem
System (11) is scanned high-speed rail component using high-precision three-dimensional laser scanner, and the high-speed rail piece table millet cake that scanning is obtained
Cloud data are stored in high-speed rail component base.
3. high-speed rail component rapid detection system according to claim 2, it is characterised in that: the high-precision three-dimensional laser is swept
Retouching instrument is that portable laser measures arm (111), and scanning accuracy is greater than 0.5mm.
4. high-speed rail component rapid detection system according to claim 3, it is characterised in that: the portable laser measures arm
(111) it is rotated in measurement process by screen operator to realize complete data acquisition, and cooperates with work with mechanical arm (112)
Industry;The mechanical arm (112) is for grabbing components and acquiring components overall data.
5. high-speed rail component rapid detection system according to claim 1, it is characterised in that: the point cloud pretreatment subsystem
(12) by treated, point cloud data carries out data management and data analysis.
6. high-speed rail component rapid detection system according to claim 1, it is characterised in that: the analytical calculation subsystem
(13) by point of invocation cloud preprocessing subsystem (12) treated point cloud data and pipeline configuration information, corresponding high-speed rail is obtained
Component algorithm is calculated, and the data for completing crucial detection position based on point cloud data measure, and compared with design value, analysis is
It is no to meet poor demand limit;By calculated result information preservation to txt file, and serial number and detection knot are generated according to calculated result
Fruit, print label are simultaneously attached on corresponding high-speed rail component automatically.
7. high-speed rail component rapid detection system according to claim 1, it is characterised in that: the data administration subsystem
(2) management includes 3 D laser scanning information, high-speed rail component components information, high-speed rail component model of parts information, quality inspection
Survey computational algorithm and high-speed rail component components laser scanning data;By assembly line storing data, generate each on each assembly line
The quality report of high-speed rail component, and for transferring and downloading in real time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710932467.3A CN109655009A (en) | 2017-10-10 | 2017-10-10 | A kind of high-speed rail component rapid detection system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710932467.3A CN109655009A (en) | 2017-10-10 | 2017-10-10 | A kind of high-speed rail component rapid detection system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109655009A true CN109655009A (en) | 2019-04-19 |
Family
ID=66108236
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710932467.3A Pending CN109655009A (en) | 2017-10-10 | 2017-10-10 | A kind of high-speed rail component rapid detection system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109655009A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110542391A (en) * | 2019-08-22 | 2019-12-06 | 成都建工第八建筑工程有限公司 | Automatic actual measurement system of building engineering |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1987343A (en) * | 2006-11-04 | 2007-06-27 | 大连海事大学 | Intelligent holographic three dimension laser measuring system |
CN104657968A (en) * | 2013-11-25 | 2015-05-27 | 武汉海达数云技术有限公司 | Automatic vehicle-mounted three-dimensional laser point cloud facade classification and outline extraction method |
CN205981099U (en) * | 2016-08-15 | 2017-02-22 | 南京工业大学 | A measure dolly for work piece non -contact traverse measurement |
US20170124714A1 (en) * | 2015-11-03 | 2017-05-04 | The Boeing Company | Locating a feature for robotic guidance |
CN107064161A (en) * | 2017-05-04 | 2017-08-18 | 广东工业大学 | A kind of con-rod fracture splitting planar defect detection means and detection method |
CN107093206A (en) * | 2017-04-20 | 2017-08-25 | 中铁十局集团电务工程有限公司 | The method modeled using 3D laser scanner technique fast Bs IM |
CN107194986A (en) * | 2017-04-25 | 2017-09-22 | 中广核研究院有限公司 | A kind of nuclear power station novel three-dimensional digital plant modeling method and system |
-
2017
- 2017-10-10 CN CN201710932467.3A patent/CN109655009A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1987343A (en) * | 2006-11-04 | 2007-06-27 | 大连海事大学 | Intelligent holographic three dimension laser measuring system |
CN104657968A (en) * | 2013-11-25 | 2015-05-27 | 武汉海达数云技术有限公司 | Automatic vehicle-mounted three-dimensional laser point cloud facade classification and outline extraction method |
US20170124714A1 (en) * | 2015-11-03 | 2017-05-04 | The Boeing Company | Locating a feature for robotic guidance |
CN205981099U (en) * | 2016-08-15 | 2017-02-22 | 南京工业大学 | A measure dolly for work piece non -contact traverse measurement |
CN107093206A (en) * | 2017-04-20 | 2017-08-25 | 中铁十局集团电务工程有限公司 | The method modeled using 3D laser scanner technique fast Bs IM |
CN107194986A (en) * | 2017-04-25 | 2017-09-22 | 中广核研究院有限公司 | A kind of nuclear power station novel three-dimensional digital plant modeling method and system |
CN107064161A (en) * | 2017-05-04 | 2017-08-18 | 广东工业大学 | A kind of con-rod fracture splitting planar defect detection means and detection method |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110542391A (en) * | 2019-08-22 | 2019-12-06 | 成都建工第八建筑工程有限公司 | Automatic actual measurement system of building engineering |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104063873A (en) | Shaft sleeve part surface defect on-line detection method based on compressed sensing | |
CN102928340A (en) | Image analysis-based method and special equipment for simultaneously determining content of maceral and vitrinite reflectance of coal | |
CN108993929A (en) | A kind of dual-machine linkage industrial machine vision automatic checkout system | |
CN106767571B (en) | A kind of method of cover-plate glass warpage on-line checking | |
CN109655009A (en) | A kind of high-speed rail component rapid detection system | |
CN110009211A (en) | A kind of product visualization checking system based on threedimensional model | |
CN109323729A (en) | A kind of relay contact spring system automatic detection device and method | |
CN104215171A (en) | Noncontact laser ray measuring method for internal threads | |
CN110659289B (en) | Material quality detection test report management method and system | |
CN102980536B (en) | Brake block steel back flatness detection system and method | |
CN108345732A (en) | A kind of industry spot construction quality intelligent detecting method | |
CN201368726Y (en) | Leather thickness measuring meter | |
CN107729474A (en) | Data quality checking method, system, equipment and the storage medium of CAD model | |
CN116311053A (en) | Defect detection method, defect detection system and application of defect detection system | |
CN103424082A (en) | Non-contact type reinforcing steel bar deformation measurement device and measurement method thereof | |
CN115841108A (en) | Metering detection calibration method | |
CN106197515B (en) | A kind of detecting system and its detection method of instrument pointer amount of jitter | |
CN201561738U (en) | Multifunctional plate detection device of PS (Presensitized) printing plate | |
CN212747877U (en) | Digital bridge detection system | |
CN113124753A (en) | Volume measurement method and device | |
Qiao et al. | A Chip Defect Detection System Based on Machine Vision | |
KR100341867B1 (en) | Automatic Evaluation System of Fabric Wrinkles and Seam Puckers and Their Method | |
Zhang et al. | Intelligent detection method for welding seam defects of automobile wheel hub based on yolo | |
VO-PHAMHI et al. | A NEW COMPUTATIONAL METHOD TO QUANTIFY MORPHOLOGICAL STANDARDIZATION AND VARIATION WITHIN CERAMIC ASSEMBLAGES. | |
Rao et al. | A real-time auto-recognition method for pointer-meter under uneven illumination |
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 |
Application publication date: 20190419 |
|
RJ01 | Rejection of invention patent application after publication |