CN114088142A - Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt - Google Patents
Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt Download PDFInfo
- Publication number
- CN114088142A CN114088142A CN202111663927.XA CN202111663927A CN114088142A CN 114088142 A CN114088142 A CN 114088142A CN 202111663927 A CN202111663927 A CN 202111663927A CN 114088142 A CN114088142 A CN 114088142A
- Authority
- CN
- China
- Prior art keywords
- detection
- infrared
- data
- detection device
- real
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 97
- 238000000034 method Methods 0.000 title claims abstract description 18
- 230000008569 process Effects 0.000 title claims abstract description 14
- 238000004891 communication Methods 0.000 claims abstract description 32
- 239000000463 material Substances 0.000 claims abstract description 18
- 238000005070 sampling Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000013500 data storage Methods 0.000 claims abstract description 4
- 238000005303 weighing Methods 0.000 claims description 12
- 238000012216 screening Methods 0.000 claims description 11
- 238000012856 packing Methods 0.000 claims description 9
- 239000002910 solid waste Substances 0.000 claims description 6
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 235000021049 nutrient content Nutrition 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 abstract description 2
- 244000025254 Cannabis sativa Species 0.000 description 3
- 241000238631 Hexapoda Species 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006698 induction Effects 0.000 description 3
- 230000008676 import Effects 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a real-time online detection method and a real-time online detection device for multiple elements in the continuous conveying process of a large-volume grain belt, wherein the real-time online detection method and the real-time online detection device comprise the belt, a timing device, a speed sensor, a thickness sensor, an image detection device, an infrared detection device, a volume weight detection device and a material level positioning device are sequentially arranged on the belt, the speed sensor and the thickness sensor are connected with an analog-digital converter, the timing device, the speed sensor, the thickness sensor, the image detection device, the infrared detection device, the volume weight detection device and the material level positioning device are connected with a data processing device, the data processing device is connected with a data storage device, a communication device and a display device, and the communication device is connected with a cloud data server. The invention has the advantages that the coverage rate is improved through high-density sampling, the efficiency is improved through on-line real-time data segment analysis, the deviation is reduced through multi-element detection and data comparison, the accuracy is improved, and the traceability of a positioning system is realized.
Description
Technical Field
The utility model relates to the field of grain multi-factor detection, in particular to a multi-factor real-time online detection method and a device in the process of bulk grain belt continuous conveying.
Background
The method aims at the import quarantine of a large amount of grains, particularly the import grain quality inspection and the detection and supervision of solid wastes, harmful grass seeds and insects, generally adopts the steps of carrying out artificial chemical analysis on a sample after mechanically or manually collecting and preparing the sample, and selecting the sample by artificial screening, wherein the used devices are single-machine equipment or manual tools and are far away from field laboratory detection.
The methods have the advantages of low total sample coverage density, large sample preparation workload, more influences of human factors, climatic factors and industrial and mining factors, lag detection report and low response efficiency.
Disclosure of Invention
Aiming at the situation and overcoming the defects of the prior art, the invention provides a multi-element real-time online detection device in the continuous conveying process of a large-volume grain belt, which comprises the belt, wherein a timing device, a speed sensor, a thickness sensor, an image detection device, an infrared detection device, a volume weight detection device and a material level positioning device are sequentially arranged on the belt, the speed sensor and the thickness sensor are connected with an analog-to-digital converter, the timing device, the speed sensor, the thickness sensor, the image detection device, the infrared detection device, the volume weight detection device and the material level positioning device are connected with a data processing device, the data processing device is connected with a data storage, a communication device and a display device, and the communication device is connected with a cloud data server.
Further, image detection device includes camera module, contrast module I, camera module includes high-speed camera and cloud platform, contrast module I includes image data processor and communication device I, high-speed camera and contrast module I are installed on the cloud platform, high-speed camera is connected with image data processor, image data processor is connected with communication device I.
Furthermore, infrared detection device includes infrared induction module and comparison module II, infrared induction module includes infra-red transmitter, infrared receiver, timer, comparison module II includes infrared data processor and communication device II, infra-red transmitter and infrared receiver symmetry installation, the timer is connected with infra-red transmitter, infrared induction module is connected with infrared data processor, infrared data processor is connected with communication device II.
Furthermore, the unit weight detection device comprises a screening device, a unit weight data processor, a weighing device, a packing device and a communication device III, wherein the screening device is connected with the weighing device, the weighing device is connected with the packing device, the unit weight data processor is connected with the communication device III, and the screening device, the weighing device and the packing device are connected with the unit weight data processor.
Furthermore, the material level positioning device comprises a height sensor, a plane position sensor, an analog-to-digital converter I, a coordinate data processor and a communication device IV, wherein the height sensor and the plane position sensor are connected with the analog-to-digital converter I, the analog-to-digital converter I is connected with the coordinate data processor, and the coordinate data processor is connected with the communication device IV.
Furthermore, the conveyer includes the belt, data processing device, unit weight detection device, data memory, image detection device, material level positioner, infrared detection device, conveyer, adc, timing device, speedtransmitter, thickness sensor all install on conveyer in proper order.
In addition, in order to achieve the above object, the present invention further provides a real-time online multi-factor detection method in a continuous conveying process of a bulk grain belt, which is applied to the real-time online multi-factor detection device in the continuous conveying process of the bulk grain belt, and the method comprises the following steps:
s1, judging the movement of the conveyor belt and the movement direction thereof, and recording the original point of the side detection position and the timing zero point of the batch of grains;
s2, judging the grain flow speed and the stacking thickness change on the conveyor belt;
s3, carrying out positioning detection on the grain at a frequency or a fixed frequency which is adaptive to the grain flow speed, and assigning a unique sequencing identifier to the detection data;
s4, detecting and tracing the solid waste, the nutrient content, the unqualified grains and the volume-weight ratio contained in the single-batch grains by using the multivariate data collected by the image recognition device, the infrared detection device and the volume-weight detection device;
s5, preheating, starting, interrupting and restarting the detection device, replacing grain batches and locating blanking geographically according to the grain thickness, thickness difference, flow speed and signals sent by the material level locating device;
s6, associating the detection device process node signal and information with the time point identification of the grain detection data, and sequentially dividing grain detection batches and processing and analyzing the batch detection data;
s7, manually sampling at any time period, comparing the analyzed data with machine data, and determining the correctness of the data;
has the advantages that: the grain detection system detects impurities and unqualified grains in the grain in a flowing state through the image recognition device, detects the water content and components of the grain in the flowing state through the infrared detection device, performs sampling comparison on the grain through the volume weight detection device, marks the sampling position, marks the vertical and horizontal coordinates in the granary where the grain is located through the material level positioning device, performs comparison and data analysis on the sampling data through the data processing device and the cloud data server, and establishes the database.
Drawings
Embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
FIG. 1 is a drawing of the present invention;
FIG. 2 is a diagram of an image recognition apparatus according to the present invention;
FIG. 3 is a diagram of an infrared detection device of the present invention;
FIG. 4 is a diagram of a volume weight detecting device according to the present invention;
FIG. 5 is a view of the level locating device of the present invention;
FIG. 6 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the scope of the present invention.
Specifically, as shown in fig. 1 to 5, the grain flow detection device comprises an infrared detection device for detecting the water content and components of grains in a flowing state, a volume weight detection device for sampling and comparing the grains and marking the sampling position, a material level positioning device for marking vertical and horizontal coordinates in a granary where the grains are located, a data processing device for comparing the sampled data, analyzing the data and establishing a database, a cloud data server for comparing the sampled data, a data storage device for storing all data in the detection process, a display device for displaying relevant data and images, a communication device for data communication, a transmission device for transmitting the grains, a timing device for recording the sampling and detection time, and a speed sensor and a thickness sensor for detecting the flow speed and the thickness of the grains.
Specifically, as shown in fig. 2, the image detection apparatus of the present invention includes a camera module and a comparison module i, where the camera module includes a high-speed camera and a cradle head, the comparison module i includes an image data processor and a communication device i, the high-speed camera and the comparison module i are mounted on the cradle head, the high-speed camera is connected with the image data processor, and the image data processor is connected with the communication device i. The image detection device detects impurities, broken grains, thin and small grains, mildewed grains, damaged grains and heat damaged grains contained in grains in a flowing transmission state, doped solid waste, harmful grass seeds and insects, the sampling frequency is more than 10 times/second, apparent quality data of various stacking states of surface grains with the thickness of 20mm paved on a conveying belt and data of harmful grass seeds and insects are obtained, and layered, continuous and random apparent detection of the whole batch of grains is realized.
Specifically, as shown in fig. 3, the infrared detection device of the present invention includes an infrared sensing module and a comparison module ii, the infrared sensing module includes an infrared transmitter, an infrared receiver, and a timer, the comparison module ii includes an infrared data processor and a communication device ii, the infrared transmitter and the infrared receiver are symmetrically installed, the timer is connected to the infrared transmitter, the infrared sensing module is connected to the infrared data processor, and the infrared data processor is connected to the communication device ii. The infrared detection device detects grain moisture, fat, protein, crude fiber and solid waste in a flow transmission state, the sampling time is 10 seconds/time, content data of various stacking states of surface grain with the thickness of 20mm paved on a conveying belt are obtained, and layered, continuous and random physicochemical detection of the whole batch of grain is realized.
Specifically, as shown in fig. 4, the unit weight detection device of the present invention includes a screening device, a unit weight data processor, a weighing device, a packing device, and a communication device iii, wherein the screening device is connected to the weighing device, the weighing device is connected to the packing device, the unit weight data processor is connected to the communication device iii, and the screening device, the weighing device, and the packing device are connected to the unit weight data processor. And (3) sampling full-section samples of the grains at equal flow intervals, screening the sampled grains and performing volume weight detection, wherein the rest samples can be loaded into a water-loss-free material bag and a time point sequencing mark corresponding to the infrared detection device is made.
Specifically, as shown in fig. 5, the material level positioning device of the present invention includes a height sensor, a planar position sensor, an analog-to-digital converter i, a coordinate data processor, and a communication device iv, wherein the height sensor and the planar position sensor are connected to the analog-to-digital converter i, the analog-to-digital converter i is connected to the coordinate data processor, and the coordinate data processor is connected to the communication device iv. And measuring and recording the plane position and elevation of belt conveyor blanking according to the coordinate grid of the material level geographic system, wherein the material level information is associated with the detection information, and the quality management of bulk grain placement is realized.
In addition, in order to achieve the above object, the present invention further provides a real-time online multi-factor detection method in a bulk grain belt continuous conveying process, which is shown in fig. 5 and comprises the following steps:
s1, judging the movement of the conveyor belt and the movement direction thereof, and recording the original point of the side detection position and the timing zero point of the batch of grains;
s2, judging the grain flow speed and the stacking thickness change on the conveyor belt;
s3, carrying out positioning detection on the grain at a frequency or a fixed frequency which is adaptive to the grain flow speed, and assigning a unique sequencing identifier to the detection data;
s4, detecting and tracing the solid waste, the nutrient content, the unqualified grains and the volume-weight ratio contained in the single-batch grains by using the multivariate data collected by the image recognition device, the infrared detection device and the volume-weight detection device;
s5, preheating, starting, interrupting and restarting the detection device, replacing grain batches and locating blanking geographically according to the grain thickness, thickness difference, flow speed and signals sent by the material level locating device;
s6, associating the detection device process node signal and information with the time point identification of the grain detection data, and sequentially dividing grain detection batches and processing and analyzing the batch detection data;
and S7, manually sampling at any time period, comparing the analyzed data with machine data, and determining the correctness of the data.
Finally, the above examples are merely illustrative of the present invention and should not be construed as limiting the scope of the present invention, and all designs identical or similar to the present invention are within the scope of the present invention.
Claims (6)
1. Real-time on-line measuring device of many factors among the continuous transportation process of large bulk grain belt, including the belt, its characterized in that: timing device, speedtransmitter, thickness sensor, image detection device, infrared detection device, unit weight detection device, material level positioner have set gradually on the belt, speedtransmitter, thickness sensor are connected with analog to digital converter, timing device, speedtransmitter, thickness sensor, image detection device, infrared detection device, unit weight detection device, material level positioner are connected with data processing device, data processing device is connected with data storage ware, communication device and display device, communication device is connected with high in the clouds data server.
2. The device for real-time on-line detection of multiple elements during continuous belt transport of bulk grain according to claim 1, wherein: image detection device includes camera module, contrast module I, camera module includes high-speed camera and cloud platform, contrast module I includes image data processor and communication device I, high-speed camera and contrast module I are installed on the cloud platform, high-speed camera is connected with image data processor, image data processor is connected with communication device I.
3. The device for real-time on-line detection of multiple elements during continuous belt transport of bulk grain according to claim 1, wherein: the infrared detection device comprises an infrared sensing module and a comparison module II, the infrared sensing module comprises an infrared transmitter, an infrared receiver and a timer, the comparison module II comprises an infrared data processor and a communication device II, the infrared transmitter and the infrared receiver are symmetrically installed, the timer is connected with the infrared transmitter, the infrared sensing module is connected with the infrared data processor, and the infrared data processor is connected with the communication device II.
4. The device for real-time on-line detection of multiple elements during continuous belt transport of bulk grain according to claim 1, wherein: the unit weight detection device comprises a screening device, a unit weight data processor, a weighing device, a packing device and a communication device III, wherein the screening device is connected with the weighing device, the weighing device is connected with the packing device, the unit weight data processor is connected with the communication device III, and the screening device, the weighing device and the packing device are connected with the unit weight data processor.
5. The device for real-time on-line detection of multiple elements during continuous belt transport of bulk grain according to claim 1, wherein: the material level positioning device comprises a height sensor, a plane position sensor, an analog-to-digital converter I, a coordinate data processor and a communication device IV, wherein the height sensor and the plane position sensor are connected with the analog-to-digital converter I, the analog-to-digital converter I is connected with the coordinate data processor, and the coordinate data processor is connected with the communication device IV.
6. The real-time online detection method for multiple factors in the continuous conveying process of a large amount of bulk grain belt is characterized by comprising the following steps:
s1, judging the movement of the conveyor belt and the movement direction thereof, and recording the original point of the side detection position and the timing zero point of the batch of grains;
s2, judging the grain flow speed and the stacking thickness change on the conveyor belt;
s3, carrying out positioning detection on the grain at a frequency or a fixed frequency which is adaptive to the grain flow speed, and assigning a unique sequencing identifier to the detection data;
s4, detecting and tracing the solid waste, the nutrient content, the unqualified grains and the volume-weight ratio contained in the single-batch grains by using the multivariate data collected by the image recognition device, the infrared detection device and the volume-weight detection device;
s5, preheating, starting, interrupting and restarting the detection device, replacing grain batches and locating blanking geographically according to the grain thickness, thickness difference, flow speed and signals sent by the material level locating device;
s6, associating the detection device process node signal and information with the time point identification of the grain detection data, and sequentially dividing grain detection batches and processing and analyzing the batch detection data;
and S7, manually sampling at any time period, comparing the analyzed data with machine data, and determining the correctness of the data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111663927.XA CN114088142A (en) | 2021-12-31 | 2021-12-31 | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111663927.XA CN114088142A (en) | 2021-12-31 | 2021-12-31 | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114088142A true CN114088142A (en) | 2022-02-25 |
Family
ID=80308280
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111663927.XA Pending CN114088142A (en) | 2021-12-31 | 2021-12-31 | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114088142A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115337978A (en) * | 2022-08-11 | 2022-11-15 | 博乐市西北粮油工贸有限公司 | Flour processing technology and flour processing system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101927796B1 (en) * | 2018-01-22 | 2019-02-26 | 최보규 | Rice Processing Complex equipment conservation and supply management system based on iot and the method thereof |
| CN110641947A (en) * | 2019-10-16 | 2020-01-03 | 山东中衡光电科技有限公司 | Intelligent inspection robot system for bulk cargo conveyor and detection method thereof |
| CN112013909A (en) * | 2020-09-23 | 2020-12-01 | 广汉市蜀汉粮油机械有限公司 | Grain heap grain comprehensive state detection and analysis system and method |
| CN112763453A (en) * | 2021-01-11 | 2021-05-07 | 江苏闪码光机电科技有限公司 | Multi-factor real-time online detection device and method for ore bulk cargo in continuous conveying |
| CN113566890A (en) * | 2021-08-10 | 2021-10-29 | 江苏闪码光机电科技有限公司 | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt |
| CN216770683U (en) * | 2021-12-31 | 2022-06-17 | 江苏闪码光机电科技有限公司 | Real-time on-line detection device for multiple elements in continuous conveying process of bulk grain belt |
-
2021
- 2021-12-31 CN CN202111663927.XA patent/CN114088142A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101927796B1 (en) * | 2018-01-22 | 2019-02-26 | 최보규 | Rice Processing Complex equipment conservation and supply management system based on iot and the method thereof |
| CN110641947A (en) * | 2019-10-16 | 2020-01-03 | 山东中衡光电科技有限公司 | Intelligent inspection robot system for bulk cargo conveyor and detection method thereof |
| CN112013909A (en) * | 2020-09-23 | 2020-12-01 | 广汉市蜀汉粮油机械有限公司 | Grain heap grain comprehensive state detection and analysis system and method |
| CN112763453A (en) * | 2021-01-11 | 2021-05-07 | 江苏闪码光机电科技有限公司 | Multi-factor real-time online detection device and method for ore bulk cargo in continuous conveying |
| CN113566890A (en) * | 2021-08-10 | 2021-10-29 | 江苏闪码光机电科技有限公司 | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt |
| CN216770683U (en) * | 2021-12-31 | 2022-06-17 | 江苏闪码光机电科技有限公司 | Real-time on-line detection device for multiple elements in continuous conveying process of bulk grain belt |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115337978A (en) * | 2022-08-11 | 2022-11-15 | 博乐市西北粮油工贸有限公司 | Flour processing technology and flour processing system |
| CN115337978B (en) * | 2022-08-11 | 2023-08-25 | 博乐市西北粮油工贸有限公司 | Flour processing technology and flour processing system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN216770683U (en) | Real-time on-line detection device for multiple elements in continuous conveying process of bulk grain belt | |
| CN102565061A (en) | Crop biomass nondestructive testing image acquisition and processing device and testing method | |
| CN114088142A (en) | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt | |
| CN105425748B (en) | Waste paper receipt control system and its operation method based on Internet of Things | |
| CN202421024U (en) | Broken rice rate on-line detection system | |
| CN114136379A (en) | Multi-factor on-site detection method and device in loading and unloading process of bulk grains | |
| CN113566890A (en) | Real-time online detection method and device for multiple factors in continuous conveying process of bulk grain belt | |
| CN108614071A (en) | Distributed outside atmosphere quality-monitoring accuracy correction system and parameter updating method | |
| CN104458743B (en) | Swing-arm-type facility crop biomass multi-sensing detection device and swing-arm-type facility crop biomass multi-sensing detection method | |
| CN106989783A (en) | A kind of UAS that analysis is monitored based on soil information | |
| CN109030755A (en) | The detection device and method of grain moisture content, mass of 1000 kernel and bulk density based on image processing techniques | |
| CN108956927A (en) | High-precision dissolved oxygen detection device | |
| CN116973553A (en) | Online material identification and water content measurement method and device based on deep learning | |
| CN112050925A (en) | Bale dynamic weighing device of square baler and weighing method thereof | |
| CN116553119A (en) | Coal bunker monitoring system | |
| CN216770684U (en) | Multi-element on-site detection device in loading and unloading process of bulk grain | |
| CN109685174B (en) | Automatic analysis device and method for cucumber high yield | |
| CN112763453A (en) | Multi-factor real-time online detection device and method for ore bulk cargo in continuous conveying | |
| CN110161970B (en) | Agricultural Internet of things integrated service management system | |
| CN211528376U (en) | Intelligent management system for water environment of river and lake watershed | |
| CN114136194A (en) | Method and device for monitoring volume of material in bin, monitoring equipment and storage medium | |
| CN117053727B (en) | Scanning detection device for accumulating volume of outer surface of material by ranging method | |
| CN202119793U (en) | Device for measuring anemochorous plant seed vertical sedimentation velocity | |
| JP3432869B2 (en) | Non-destructive fruit sorting method | |
| CN112098275A (en) | Rapid detection system and method for aerial broadcast operation quality |
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 |