CN116865429A - Switch cabinet diagnosis system and method based on intelligent sensor - Google Patents
Switch cabinet diagnosis system and method based on intelligent sensor Download PDFInfo
- Publication number
- CN116865429A CN116865429A CN202310573806.9A CN202310573806A CN116865429A CN 116865429 A CN116865429 A CN 116865429A CN 202310573806 A CN202310573806 A CN 202310573806A CN 116865429 A CN116865429 A CN 116865429A
- Authority
- CN
- China
- Prior art keywords
- switch cabinet
- module
- acquisition module
- intelligent sensor
- characteristic
- 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
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000003745 diagnosis Methods 0.000 title abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 31
- 238000004146 energy storage Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 9
- 230000036541 health Effects 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 6
- 238000002405 diagnostic procedure Methods 0.000 claims description 4
- 230000003449 preventive effect Effects 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 230000001052 transient effect Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 description 3
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004141 dimensional analysis Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000010301 surface-oxidation reaction Methods 0.000 description 1
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
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Testing Relating To Insulation (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The invention discloses a switch cabinet diagnosis system and method based on an intelligent sensor, wherein the method comprises the following steps: the system comprises an acquisition module, an edge computing gateway module and a data processing module; the acquisition module is connected with the edge computing gateway module through wifi; the edge computing gateway module is connected with the data processing module through 5G or 4G; the acquisition module consists of a TEV acquisition module, an infrared temperature monitoring module, an ultrasonic acquisition module, an electric quantity acquisition module, a breaker mechanical characteristic monitoring module, an energy storage motor and an opening and closing coil electric characteristic monitoring module; the invention can analyze, evaluate and diagnose the equipment in multiple dimensions, and accurately locate and feed back the bad state, thereby greatly improving the working efficiency and the running stability of the equipment and the distribution network.
Description
Technical Field
The invention relates to the technical field of power distribution, in particular to a switch cabinet diagnosis system and method based on an intelligent sensor.
Background
The distribution network is used as a connection terminal directly related to the user, and reflects the requirements of the user in the aspects of safety, economy and the like in real time, so that the safety and the stability are very important. The switch cabinet is an important power device in the power distribution network, and the reliability of the switch cabinet is an important guarantee link of the safety of the power grid. Important equipment such as circuit breaker, high-voltage cable joint, switch in the cubical switchboard probably appear equipment ageing, surface oxidation, corruption, fastening bolt scheduling problem in long-term operation, and in addition many power equipment are in the high load running state for a long time, and it is unusual to initiate the temperature, if not in time discover the processing, probably causes the incident such as melting, burning or even explosion, can cause large tracts of land power failure phenomenon simultaneously, causes huge economic loss. Therefore, how to judge and identify the possible abnormal working conditions in the switch cabinet and alarm, find the hidden trouble of early failure in the switch cabinet, and prevent the expansion of accidents is a technical problem which needs to be solved by the technicians in the field.
The intelligent monitoring mode at the present stage is to arrange corresponding sensors on the switch cabinet, connect the sensors in a wired mode, and perform data transmission, and the mode is complex in construction and high in cost, and the risk of the switch cabinet is easily caused by falling of wires; in addition, the intelligent monitoring mode carries out data transmission through the Lora, in the layout process, the Lora needs to build a signal tower, an industrial base station and even a portable home gateway, and certain frequency spectrum interference exists between Lora equipment and network deployment. Meanwhile, the data of each acquisition module do not form effective interaction, the real state of the equipment cannot be reasonably and accurately reflected, and misjudgment exists.
Disclosure of Invention
The invention aims to: the invention aims to provide a switch cabinet diagnosis system and method based on an intelligent sensor, which solve the problems of equipment and electricity safety caused by unstable data acquisition and transmission or inaccurate diagnosis and failure to find defects in time when components in the switch cabinet are pre-failed.
The technical scheme is as follows: the invention relates to a switch cabinet diagnosis system based on an intelligent sensor, which comprises: the system comprises an acquisition module, an edge computing gateway module and a data processing module; the acquisition module is connected with the edge computing gateway module through wifi; the edge computing gateway module is connected with the data processing module through 5G or 4G; the acquisition module consists of a TEV acquisition module, an infrared temperature monitoring module, an ultrasonic acquisition module, an electric quantity acquisition module, a circuit breaker mechanical characteristic monitoring module, an energy storage motor and an opening and closing coil electric characteristic monitoring module.
Further, the TEV acquisition module acquires transient ground voltage in the switch cabinet.
Further, the infrared temperature monitoring module collects the temperature of elements in the switch cabinet.
Further, the ultrasonic wave acquisition module acquires ultrasonic wave signals of different types of partial discharge in the switch cabinet.
Further, the electric quantity acquisition module acquires voltage and current.
Further, the mechanical property monitoring module of the circuit breaker acquires the action times of the circuit breaker.
Further, the energy storage motor and the switching-on/off coil electrical characteristic monitoring module collect the switching-on/off coil current, the energy storage motor parameters and the switching-on/off time speed travel of the circuit breaker.
The invention relates to a diagnosis method of a switch cabinet system based on an intelligent sensor, which comprises the following steps:
(1) Obtaining switch cabinet original data, comprising: the switch cabinet operation time, the fault times and the latest preventive test time;
(2) Acquiring acquisition module data, comprising: the acquired TEV signals, ultrasonic signals, temperature, electric quantity information, mechanical characteristics/mechanical characteristics acquisition sensors of the circuit breaker and data acquired by the energy storage motor and the switching-on and switching-off coil electric characteristic monitoring sensors belong to mechanical characteristic data.
(3) And taking characteristic parameters in monitoring signals of the switch cabinet state sensor as the input of a model to obtain the health degree of the equipment, and sending out early warning that the health degree is lower than the health degree. The device health diagnostic model is as follows:
S＝X1*10％+X2*15％+X3*15％+X4*20％+X5*25％+X6*15％
x1 is a basic state characteristic value of the equipment; x2 is a TEV signal characteristic value; x3 is an ultrasonic signal characteristic value; x4 is the characteristic value of the difference between the pile head inside the switch cabinet and the environment; x5 electrical quantity characteristic value; x6 mechanical characteristic feature value.
The device comprises a memory, a processor and a program stored on the memory and capable of running on the processor, and is characterized in that the processor realizes the steps in the diagnosis method of the intelligent sensor-based switch cabinet system when executing the program
A storage medium according to the invention stores a computer program, characterized in that the computer program is designed to implement, when running, the steps in the diagnostic method of the intelligent sensor based switch cabinet system according to any one of the claims.
The beneficial effects are that: compared with the prior art, the invention has the following remarkable advantages: the multi-dimensional analysis, evaluation and diagnosis can be carried out on the equipment, and the poor state is accurately positioned and fed back, so that the working efficiency and the running stability of the equipment and the distribution network are greatly improved.
Drawings
FIG. 1 is a structural frame diagram of the present invention;
Detailed Description
The technical scheme of the invention is further described below with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present invention provides a switch cabinet diagnosis system based on an intelligent sensor, including: the system comprises an acquisition module, an edge computing gateway module and a data processing module; the acquisition module is connected with the edge computing gateway module through wifi; the edge computing gateway module is connected with the data processing module through 5G or 4G; the acquisition module consists of a TEV acquisition module, an infrared temperature monitoring module, an ultrasonic acquisition module, an electric quantity acquisition module, a circuit breaker mechanical characteristic monitoring module, an energy storage motor and an opening and closing coil electric characteristic monitoring module. And the TEV acquisition module acquires transient ground voltage in the switch cabinet. The infrared temperature monitoring module collects the temperature of elements in the switch cabinet. The ultrasonic wave acquisition module acquires ultrasonic wave signals of different types of partial discharge in the switch cabinet. And the electric quantity acquisition module acquires voltage and current. And the mechanical property monitoring module of the circuit breaker acquires the action times of the circuit breaker. And the energy storage motor and switching-on/off coil electrical characteristic monitoring module is used for collecting the switching-on/off coil current, the energy storage motor parameter and the switching-on/off time speed travel of the circuit breaker.
The diagnosis method of the switch cabinet system based on the intelligent sensor provided by the embodiment of the invention comprises the following steps of:
(1) Obtaining switch cabinet original data, comprising: the switch cabinet operation time, the fault times and the latest preventive test time;
(2) Acquiring acquisition module data, comprising: the acquired TEV signals, ultrasonic signals, temperature, electric quantity information, mechanical characteristics/mechanical characteristics acquisition sensors of the circuit breaker and data acquired by the energy storage motor and the switching-on and switching-off coil electric characteristic monitoring sensors belong to mechanical characteristic data.
(3) And taking characteristic parameters in monitoring signals of the switch cabinet state sensor as the input of a model to obtain the health degree of the equipment, and sending out early warning that the health degree is lower than the health degree. The device health diagnostic model is as follows:
S＝X1*10％+X2*15％+X3*15％+X4*20％+X5*25％+X6*15％
x1 is a basic state characteristic value of the equipment; x2 is a TEV signal characteristic value; x3 is an ultrasonic signal characteristic value; x4 is the characteristic value of the difference between the pile head inside the switch cabinet and the environment; x5 electrical quantity characteristic value; x6 mechanical characteristic feature value.
Such as: the time of operation is 1 year, the number of faults is 1 time, and before the latest preventive test time is 7 months, x1=100+50+50+10+20%
(2) X2 is a TEV signal characteristic value;
(3) x3 is an ultrasonic signal characteristic value;
(4) x4 is the characteristic value of the difference between the pile head inside the switch cabinet and the environment;
(5) x5 electrical quantity characteristic value;
(6) x6 mechanical characteristic feature value; x6=Δt3x0X 80% + N2X 0X 20%;
for example: the direct deviation between the opening time and the closing time of the circuit breaker and the threshold time is 6%, the total breaking times of the circuit breaker is 5000 times, and x6=50+50+20%.
When the equipment diagnosis result S is smaller than 60, the equipment state is poor, and important monitoring is required for monitoring points with lower scores; when S is 60 or more and 80 or less, the device status is generally required to be periodically checked. When S is 80 or more, the device state is good.
The device of the invention comprises a memory, a processor and a program stored on the memory and capable of running on the processor, and is characterized in that the processor realizes the steps in the diagnosis method of the intelligent sensor-based switch cabinet system when executing the program.
A storage medium according to the invention stores a computer program, characterized in that the computer program is designed to implement, when running, the steps in the diagnostic method of the intelligent sensor based switch cabinet system according to any one of the claims.
Claims (10)
1. A switch cabinet diagnostic system based on intelligent sensors, comprising: the system comprises an acquisition module, an edge computing gateway module and a data processing module; the acquisition module is connected with the edge computing gateway module through wifi; the edge computing gateway module is connected with the data processing module through 5G or 4G; the acquisition module consists of a TEV acquisition module, an infrared temperature monitoring module, an ultrasonic acquisition module, an electric quantity acquisition module, a circuit breaker mechanical characteristic monitoring module, an energy storage motor and an opening and closing coil electric characteristic monitoring module.
2. The intelligent sensor-based switchgear diagnostic system of claim 1 wherein the TEV acquisition module acquires a transient ground voltage within the switchgear.
3. The intelligent sensor-based switch cabinet diagnostic system of claim 1, wherein the infrared temperature monitoring module collects the temperature of components within the switch cabinet.
4. The intelligent sensor-based switch cabinet diagnostic system of claim 1, wherein the ultrasonic acquisition module acquires ultrasonic signals of different types of partial discharges within the switch cabinet.
5. The intelligent sensor-based switch cabinet diagnostic system of claim 1, wherein the electrical quantity acquisition module acquires voltage and current.
6. The intelligent sensor-based switchgear diagnostic system of claim 1 wherein the circuit breaker mechanical characteristic monitoring module collects the number of circuit breaker actions.
7. The intelligent sensor-based switch cabinet diagnostic system of claim 1, wherein the energy storage motor and switch-on/off coil electrical characteristic monitoring module collects a breaker switch-on/off coil current, an energy storage motor parameter, a switch-on/off time speed travel.
8. A method of diagnosing a smart sensor-based switchgear system as claimed in claim 1, comprising the steps of:
(1) Obtaining switch cabinet original data, comprising: the switch cabinet operation time, the fault times and the latest preventive test time;
(2) Acquiring acquisition module data, comprising: the acquired TEV signals, ultrasonic signals, temperature, electric quantity information, mechanical characteristics/mechanical characteristics acquisition sensors of the circuit breaker and data acquired by the energy storage motor and the switching-on and switching-off coil electric characteristic monitoring sensors belong to mechanical characteristic data.
(3) And taking characteristic parameters in monitoring signals of the switch cabinet state sensor as the input of a model to obtain the health degree of the equipment, and sending out early warning that the health degree is lower than the health degree. The device health diagnostic model is as follows:
S＝X1*10％+X2*15％+X3*15％+X4*20％+X5*25％+X6*15％
x1 is a basic state characteristic value of the equipment; x2 is a TEV signal characteristic value; x3 is an ultrasonic signal characteristic value; x4 is the characteristic value of the difference between the pile head inside the switch cabinet and the environment; x5 electrical quantity characteristic value; x6 mechanical characteristic feature value.
9. An apparatus comprising a memory, a processor, and a program stored on the memory and executable on the processor, wherein the processor performs the steps in the diagnostic method of the intelligent sensor-based switch cabinet system of any one of claims 8 when the program is executed.
10. A storage medium storing a computer program, characterized in that the computer program is designed to, when run, carry out the steps in the diagnostic method of the intelligent sensor based switchgear system according to any one of claims 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310573806.9A CN116865429A (en) | 2023-05-16 | 2023-05-16 | Switch cabinet diagnosis system and method based on intelligent sensor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310573806.9A CN116865429A (en) | 2023-05-16 | 2023-05-16 | Switch cabinet diagnosis system and method based on intelligent sensor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116865429A true CN116865429A (en) | 2023-10-10 |
Family
ID=88217882
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310573806.9A Pending CN116865429A (en) | 2023-05-16 | 2023-05-16 | Switch cabinet diagnosis system and method based on intelligent sensor |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116865429A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130047418A (en) * | 2011-10-31 | 2013-05-08 | 한국전력공사 | Apparatus and method for diagnosing partial discharge of high voltage facilities using a plurality of sensors |
| CN110826934A (en) * | 2019-11-21 | 2020-02-21 | 广州供电局有限公司 | Method, device and system for evaluating health degree of medium-voltage switch cabinet |
| CN113346611A (en) * | 2021-04-26 | 2021-09-03 | 云南电网有限责任公司文山供电局 | High-voltage switch cabinet multidimensional state intelligent monitoring system and method |
-
2023
- 2023-05-16 CN CN202310573806.9A patent/CN116865429A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20130047418A (en) * | 2011-10-31 | 2013-05-08 | 한국전력공사 | Apparatus and method for diagnosing partial discharge of high voltage facilities using a plurality of sensors |
| CN110826934A (en) * | 2019-11-21 | 2020-02-21 | 广州供电局有限公司 | Method, device and system for evaluating health degree of medium-voltage switch cabinet |
| CN113346611A (en) * | 2021-04-26 | 2021-09-03 | 云南电网有限责任公司文山供电局 | High-voltage switch cabinet multidimensional state intelligent monitoring system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN213986651U (en) | Multi-state online monitoring system for lightning arrester | |
| CN212207592U (en) | Artificial intelligence high voltage circuit breaker on-line monitoring device | |
| CN201611384U (en) | Motor status monitoring and failure diagnosis system | |
| CN202019191U (en) | Electric arc fault circuit breaker | |
| CN103138400A (en) | Detecting and monitoring integrated device of touch type man-machine interaction switch cabinet | |
| CN107589320B (en) | Wave recording method and wave recording device of power module | |
| CN108876197B (en) | Power equipment cluster and group analysis system | |
| CN106597181B (en) | Operation monitoring system and method for high-voltage power transformer | |
| CN112977542A (en) | High-voltage equipment on-line monitoring method for high-speed rail train | |
| CN116865429A (en) | Switch cabinet diagnosis system and method based on intelligent sensor | |
| CN116647049A (en) | Comprehensive monitoring system for switch cabinet | |
| CN115575807A (en) | Online monitoring device and monitoring method for circuit breaker | |
| CN103163402A (en) | Relaying protection equipment state monitoring device and monitoring method based on secondary circuit | |
| CN114675584A (en) | Power equipment monitoring device and monitoring system based on big data analysis | |
| CN113432854B (en) | High-voltage switch cabinet tulip contact state monitoring method, system, equipment and medium | |
| CN114113995A (en) | Method and system for detecting mechanical fault of isolating switch for GIS | |
| CN212229087U (en) | Partial discharge live diagnosis and positioning device | |
| CN114325373A (en) | High-voltage circuit breaker product line integrated test method | |
| CN114498914A (en) | Intelligent substation synthesizes monitored control system | |
| CN103217192A (en) | Intelligent assembly | |
| CN207366686U (en) | A kind of partial discharge of switchgear on-line monitoring system | |
| CN218675147U (en) | Electric signal collection box | |
| CN219715705U (en) | Arc light protection monitoring device | |
| CN112542822B (en) | 35KV electric-collecting ring main unit protection system and method for wind farm | |
| CN217484421U (en) | Oil field motor parameter acquisition device |
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 |