CN105303922B - Electric energy quality monitoring simulation training system and its Training Methodology - Google Patents
Electric energy quality monitoring simulation training system and its Training Methodology Download PDFInfo
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- CN105303922B CN105303922B CN201510863660.7A CN201510863660A CN105303922B CN 105303922 B CN105303922 B CN 105303922B CN 201510863660 A CN201510863660 A CN 201510863660A CN 105303922 B CN105303922 B CN 105303922B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 162
- 238000012549 training Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000004088 simulation Methods 0.000 title claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 12
- 230000001360 synchronised effect Effects 0.000 claims description 8
- 230000002123 temporal effect Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 5
- 239000003990 capacitor Substances 0.000 claims description 3
- 238000010891 electric arc Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 238000004891 communication Methods 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 230000002860 competitive effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0815—Network architectures or network communication protocols for network security for authentication of entities providing single-sign-on or federations
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/083—Network architectures or network communication protocols for network security for authentication of entities using passwords
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
Abstract
The invention discloses a kind of electric energy quality monitoring simulation training system and its Training Methodology, this training system includes system server, wireless network and mobile phone.This Training Methodology includes trainer by configuring the monitoring range of monitoring modular configuration electric energy quality monitoring net and the steps such as each data monitoring node being configured in the monitoring range of electric energy quality monitoring net, the beneficial effects of the invention are as follows reduce training low cost, not only safety again carried out actual combat, can be by training to the voltage dip in power system, temporarily liter and short interruptions, the important power quality problem such as voltage waveform distortion is detected this ability and is improved in real time caused by harmonic wave.
Description
Technical field
The invention belongs to lation training course for power system field, in particular to a kind of electric energy quality monitoring simulation training system and
Its Training Methodology.
Background technology
During 12, motherland's economy keeps high speed development, and the supply load of power network also increasingly increases, and electric company is
Ensure resident and commercial power demand, it is necessary to the quality of power supply is improved, monitoring turns into the focus of various regions Utilities Electric Co., seriously
Accident happens occasionally caused by power quality problem, causes the loss of manpower, material resources and financial resources, therefore carry out essence to the quality of power supply
Really, quick and actual time safety monitoring is very important.Although many trainings on electric energy quality monitoring have been held in various regions
Class to be instructed, but is nothing more than two kinds, one kind is pure theory training, and this Competitive effects are not high, and another is on-the-spot guidance, but
It is this dangerous high, is easily limited by environmental condition, and cost is high, additionally due to measured terminal is a lot, and most of points
Cloth is in the severe area of weather conditions, and position distribution is also more complicated, so the data monitoring inserting knot positioned at each terminal
The data monitoring node for very cumbersome and intrinsic each terminal of getting up usually by the environment of surrounding influenceed and damage or
Fine motion position, " traffic jam " occurs in transmission signal, it is also very mixed and disorderly unordered during transmission, greatly reduce efficiency and inspection
The stable accuracy of survey, often can only be by consulting and adjusting in monitoring center for Monitoring Data and historical situation staff
Take, the place in the wild or beyond monitoring center just can not consult and transfer, and by the hardware condition of mobile phone is limited, use
Browser in mobile phone directly invokes that local Verification System is substantially impossible, have to develop special secure browser plug-in unit
OK.
The content of the invention
The invention aims to overcome above-mentioned deficiency to provide a kind of electric energy quality monitoring simulation training system and its training
Method for training.
To achieve the above object, the technical solution adopted by the present invention is：
A kind of electric energy quality monitoring simulation training system, including system server 1, wireless network 2 and mobile phone 3, the system
System server 1 is connected by wireless network 2 with mobile phone 3.
The system server 1 includes：Configure monitoring modular 1a, configuration factor module 1b, generation scene module 1c, marking
Module 1d and authentication module 1e, the configuration monitoring modular 1a, configuration factor module 1b are respectively with generating scene module 1c phases
Even, the generation scene module 1c is connected with scoring modules 1d, and the scoring modules 1d is connected with authentication module 1e, the certification
Module 1e is built-in with digital certificate.
The mobile phone 3 includes browser 3a, monitoring workflow management APP3b and configuration monitoring sets APP.
A kind of electric energy quality monitoring emulation training method comprises the concrete steps that：
Step 1：Trainer configures the monitoring range of electric energy quality monitoring net and in electric energy by configuring monitoring modular
The each data monitoring node of configuration in the monitoring range of quality-monitoring net, electric energy quality monitoring net is configured by configuration factor module
Monitoring range in whether occur thunder and lightning, capacitor switching and electric arc interference load etc. influence the quality of power supply factor；
Step 2：Virtual Monitoring net scene is generated by generating scene module, then the bar in the range of monitoring net selected by loading
Tower, branch, equipment, operating personnel and surrounding environment.
Step 3：Virtual Monitoring net scene is presented to by trainee by mobile phone；Trainee is by mobile phone according to monitoring flow
Emulation monitoring resultses are carried out, and each problem to being found in monitoring is handled；
Step 4：Scoring modules judge whether processing of the trainee to each problem in monitoring be correct；If to each
The processing of individual problem is incorrect, will record current mistake, and prompts trainee to reenter step 3 and handle；Judge each field
Whether all monitoring tasks are fully completed in scape；If all monitoring tasks are not completed in each scene, reenter
Step 3 is circulated；If all monitoring tasks complete in each scene, scoring modules will provide trainee into
Achievement, and be encrypted, trainee is simultaneously inquired about by cellphone deciphering, and whole training process terminates.
Each data monitoring node is configured in the step 1 and specifically includes following steps：
011, data monitoring nodal test network environment, determine the frequency point information of each data monitoring node；
012, set data monitoring node to gather the signal of multiple frequencies simultaneously, and only send letter in a frequency
Number；
013, master data monitoring node constantly to from data monitoring node transmission time information, receives from data monitoring node
And after deadline synchronization, temporal information is handed down to remaining one of data monitoring node, by that analogy, complete complete
The time synchronized of net；
014, adjacent data monitoring node is searched for, and the frequency point information of adjacent data monitoring node is recorded, and frequency is believed
Breath is handed down to adjacent data monitoring node；
015, if data monitoring node T1 in certain business time-slot, will send data to adjacent data monitoring node T2, that
Data monitoring node T1 is output state in the business time-slot, can not now arrange other purposes node again, can only be at one
Frequency is handed down to adjacent data monitoring node T2；Assuming that data monitoring node T1 in certain business time-slot, will receive adjacent data prison
Survey node T2 data, then data monitoring node T1 is input state in the business time-slot, can receive different frequencies
Data, so this time slot can also receive the data that other different frequent points are sent.
The step 013 is specially：Master data monitoring node sends signal using omnidirectional antenna, receives multiple frequencies and sends
Signal, until cover all frequencies；If the signal of master data monitoring node is not received from data monitoring node, often
The secondary signal for receiving multiple frequencies and sending, until all frequencies are covered, if receiving master data monitoring section from data monitoring node
The signal of point, then enter thick synchronous regime from data monitoring node, and temporal information is handed down into remaining one of data supervises
Node is surveyed, has received (n+1)th data monitoring node of nth data monitoring node temporal information, for nth data monitoring section
Point n jumps the node of scope, by that analogy, will will be sequentially formed with nth data monitoring node building topology network hierarchical structure
N+1, which is jumped, n+2 is jumped, n+3 is jumped ... waits node, ultimately forms the networking of multi-levels data monitoring node and complete each hierarchical data
The time synchronized of monitoring node.
In the step 4 trainee and by cellphone deciphering inquiry specifically include following steps：
041, trainee logs in Cloud Server using the browser in mobile phone by HTTP, by digital certificate
Call request be sent to Cloud Server；
042, authentication module logs in Cloud Server, and Cloud Server sends inquiry request password, authentication module to authentication module
Input inquiry request password receives call request, then completes the processing of the calling of digital certificate, afterwards feeds back result
To Cloud Server；
043, trainee logs in Cloud Server using the browser in mobile phone by HTTP, Cloud Server to
Mobile phone feeds back the inquiry request password, and mobile phone inputs the inquiry request password query processing result, and according to result
Go out the achievement of trainee in selection inquiry scoring modules；
044, after completing inquiry, the inquiry request password is temporarily stored in Cloud Server, and call request is received when next time
When, authentication module first logs in whether Cloud Server retrieval preserves inquiry request password described in identical, if not having, returns to step
Rapid 042, if so, then return to step 043, if the inquiry request password kept in Cloud Server does not all have once within January
It is called, even if authentication module logs in Cloud Server retrieval and preserves inquiry request password described in identical, cloud service after January
Device is also refused to send the inquiry request password to authentication module.
The present invention reduce training low cost, not only safety again carried out under battle conditions, can by training in power system
Voltage dip, temporarily rise and short interruptions, the important power quality problem of voltage waveform distortion etc. caused by harmonic wave carry out real
When detect this ability and be improved.And when using in reality, the job network structure of data monitoring node of the invention can
To carry out being dynamically adapted to optimum state at any time, solve because weather conditions badly cause the bad shape of wireless communications environment
Condition, multiple signals are received while summit sends signal all the way, effectively avoid " traffic jam ", considerably increase network appearance
Measure, the browser in mobile phone can log in Cloud Server by HTTP, then pass through several bouts and call certification
System does not have to develop special secure browser plug-in unit.
Brief description of the drawings
Fig. 1 is a kind of electric energy quality monitoring simulation training system schematic diagram of the present invention.
Embodiment
Below in conjunction with the accompanying drawings and embodiment further illustrates the present invention.
Embodiment：A kind of electric energy quality monitoring simulation training system, including system server 1, wireless network 2 and mobile phone 3,
The system server 1 is connected by wireless network 2 with mobile phone 3.
The system server 1 includes：Configure monitoring modular 1a, configuration factor module 1b, generation scene module 1c, marking
Module 1d and authentication module 1e, the configuration monitoring modular 1a, configuration factor module 1b are respectively with generating scene module 1c phases
Even, the generation scene module 1c is connected with scoring modules 1d, and the scoring modules 1d is connected with authentication module 1e, the certification
Module 1e is built-in with digital certificate.
The mobile phone 3 includes browser 3a, monitoring workflow management APP3b and configuration monitoring sets APP.
A kind of electric energy quality monitoring emulation training method comprises the concrete steps that：
Step 1：Trainer configures the monitoring range of electric energy quality monitoring net and in electric energy by configuring monitoring modular
The each data monitoring node of configuration in the monitoring range of quality-monitoring net, electric energy quality monitoring net is configured by configuration factor module
Monitoring range in whether occur thunder and lightning, capacitor switching and electric arc interference load etc. influence the quality of power supply factor；
Step 2：Virtual Monitoring net scene is generated by generating scene module, then the bar in the range of monitoring net selected by loading
Tower, branch, equipment, operating personnel and surrounding environment.
Step 3：Virtual Monitoring net scene is presented to by trainee by mobile phone；Trainee is by mobile phone according to monitoring flow
Emulation monitoring resultses are carried out, and each problem to being found in monitoring is handled；
Step 4：Scoring modules judge whether processing of the trainee to each problem in monitoring be correct；If to each
The processing of individual problem is incorrect, will record current mistake, and prompts trainee to reenter step 3 and handle；Judge each field
Whether all monitoring tasks are fully completed in scape；If all monitoring tasks are not completed in each scene, reenter
Step 3 is circulated；If all monitoring tasks complete in each scene, scoring modules will provide trainee into
Achievement, and be encrypted, trainee is simultaneously inquired about by cellphone deciphering, and whole training process terminates.
Each data monitoring node is configured in the step 1 and specifically includes following steps：
011, data monitoring nodal test network environment, determine the frequency point information of each data monitoring node；
012, set data monitoring node to gather the signal of multiple frequencies simultaneously, and only send letter in a frequency
Number；
013, master data monitoring node constantly to from data monitoring node transmission time information, receives from data monitoring node
And after deadline synchronization, temporal information is handed down to remaining one of data monitoring node, by that analogy, complete complete
The time synchronized of net；
014, adjacent data monitoring node is searched for, and the frequency point information of adjacent data monitoring node is recorded, and frequency is believed
Breath is handed down to adjacent data monitoring node；
015, if data monitoring node T1 in certain business time-slot, will send data to adjacent data monitoring node T2, that
Data monitoring node T1 is output state in the business time-slot, can not now arrange other purposes node again, can only be at one
Frequency is handed down to adjacent data monitoring node T2；Assuming that data monitoring node T1 in certain business time-slot, will receive adjacent data prison
Survey node T2 data, then data monitoring node T1 is input state in the business time-slot, can receive different frequencies
Data, so this time slot can also receive the data that other different frequent points are sent.
The step 013 is specially：Master data monitoring node sends signal using omnidirectional antenna, receives multiple frequencies and sends
Signal, until cover all frequencies；If the signal of master data monitoring node is not received from data monitoring node, often
The secondary signal for receiving multiple frequencies and sending, until all frequencies are covered, if receiving master data monitoring section from data monitoring node
The signal of point, then enter thick synchronous regime from data monitoring node, and temporal information is handed down into remaining one of data supervises
Node is surveyed, has received (n+1)th data monitoring node of nth data monitoring node temporal information, for nth data monitoring section
Point n jumps the node of scope, by that analogy, will will be sequentially formed with nth data monitoring node building topology network hierarchical structure
N+1, which is jumped, n+2 is jumped, n+3 is jumped ... waits node, ultimately forms the networking of multi-levels data monitoring node and complete each hierarchical data
The time synchronized of monitoring node.
In the step 4 trainee and by cellphone deciphering inquiry specifically include following steps：
041, trainee logs in Cloud Server using the browser in mobile phone by HTTP, by digital certificate
Call request be sent to Cloud Server；
042, authentication module logs in Cloud Server, and Cloud Server sends inquiry request password, authentication module to authentication module
Input inquiry request password receives call request, then completes the processing of the calling of digital certificate, afterwards feeds back result
To Cloud Server；
043, trainee logs in Cloud Server using the browser in mobile phone by HTTP, Cloud Server to
Mobile phone feeds back the inquiry request password, and mobile phone inputs the inquiry request password query processing result, and according to result
Go out the achievement of trainee in selection inquiry scoring modules；
044, after completing inquiry, the inquiry request password is temporarily stored in Cloud Server, and call request is received when next time
When, authentication module first logs in whether Cloud Server retrieval preserves inquiry request password described in identical, if not having, returns to step
Rapid 042, if so, then return to step 043, if the inquiry request password kept in Cloud Server does not all have once within January
It is called, even if authentication module logs in Cloud Server retrieval and preserves inquiry request password described in identical, cloud service after January
Device is also refused to send the inquiry request password to authentication module.
The present invention reduce training low cost, not only safety again carried out under battle conditions, can by training in power system
Voltage dip, temporarily rise and short interruptions, the important power quality problem of voltage waveform distortion etc. caused by harmonic wave carry out real
When detect this ability and be improved.And when using in reality, the job network structure of data monitoring node of the invention can
To carry out being dynamically adapted to optimum state at any time, solve because weather conditions badly cause the bad shape of wireless communications environment
Condition, multiple signals are received while summit sends signal all the way, effectively avoid " traffic jam ", considerably increase network appearance
Measure, the browser in mobile phone can log in Cloud Server by HTTP, then pass through several bouts and call certification
System does not have to develop special secure browser plug-in unit.
Claims (3)
1. a kind of electric energy quality monitoring simulation training system, including system server (1), wireless network (2) and mobile phone (3), institute
System server (1) is stated to be connected with mobile phone (3) by wireless network (2)；The system server (1) includes：Configuration monitoring mould
Block (1a), configuration factor module (1b), generation scene module (1c), scoring modules (1d) and authentication module (1e), it is described to match somebody with somebody
Put monitoring modular (1a), configuration factor module (1b) respectively with generation scene module (1c) to be connected, the generation scene module
(1c) is connected with scoring modules (1d), and the scoring modules (1d) are connected with authentication module (1e), in the authentication module (1e)
It is equipped with digital certificate；The mobile phone (3) includes browser (3a), monitoring workflow management APP (3b) and configuration monitoring and set
APP；It is characterized in that：Its emulation training method comprises the following steps：
Step 1：Trainer configures the monitoring range of electric energy quality monitoring net and in the quality of power supply by configuring monitoring modular
The each data monitoring node of configuration in the monitoring range of monitoring net, the prison of electric energy quality monitoring net is configured by configuration factor module
Whether thunder and lightning, capacitor switching and electric arc interference load are occurred in the range of survey；
Step 2：Generate Virtual Monitoring net scene by generating scene module, then the shaft tower selected by loading in the range of monitoring net,
Branch, equipment, operating personnel and surrounding environment；
Step 3：Virtual Monitoring net scene is presented to by trainee by mobile phone；Trainee is carried out by mobile phone according to monitoring flow
Monitoring resultses are emulated, and each problem to being found in monitoring is handled；
Step 4：Scoring modules judge whether processing of the trainee to each problem in monitoring be correct；If each is asked
The processing of topic is incorrect, will record current mistake, and prompts trainee to reenter step 3 and handle；Judge in each scene
Whether all monitoring tasks are fully completed；If all monitoring tasks are not completed in each scene, step 3 is reentered
Circulated；If all monitoring tasks complete in each scene, scoring modules will provide the achievement of trainee, go forward side by side
Row encryption, trainee are simultaneously inquired about by cellphone deciphering, and whole training process terminates.
2. electric energy quality monitoring simulation training system according to claim 1, it is characterised in that configured in the step 1
Each data monitoring node specifically includes following steps：
011, data monitoring nodal test network environment, determine the frequency point information of each data monitoring node；
012, set data monitoring node to gather the signal of multiple frequencies simultaneously, and only send signal in a frequency；
013, master data monitoring node constantly to from data monitoring node transmission time information, receives and complete from data monitoring node
Into after time synchronized, temporal information is handed down to remaining one of data monitoring node, by that analogy, completes the whole network
Time synchronized；
014, adjacent data monitoring node is searched for, and the frequency point information of adjacent data monitoring node is recorded, and by under frequency point information
Issue adjacent data monitoring node；
015, if data monitoring node T1 in certain business time-slot, will send data to adjacent data monitoring node T2, then number
In the business time-slot it is output state according to monitoring node T1, can not now arranges other purposes node again, can only be in a frequency
It is handed down to adjacent data monitoring node T2；Assuming that data monitoring node T1 in certain business time-slot, will receive adjacent data monitoring section
Point T2 data, then data monitoring node T1 is input state in the business time-slot, can receive the data of different frequencies,
So this time slot can also receive the data that other different frequent points are sent.
3. electric energy quality monitoring simulation training system according to claim 1, it is characterised in that undergone training in the step 4
Person simultaneously specifically includes following steps by cellphone deciphering inquiry：
041, trainee logs in Cloud Server using the browser in mobile phone by HTTP, by the tune of digital certificate
Cloud Server is sent to request；
042, authentication module logs in Cloud Server, and Cloud Server sends inquiry request password, authentication module input to authentication module
Inquiry request password receives call request, then completes the processing of the calling of digital certificate, result is fed back into cloud afterwards
Server；
043, trainee logs in Cloud Server using the browser in mobile phone by HTTP, and Cloud Server is to mobile phone
The inquiry request password is fed back, mobile phone inputs the inquiry request password query processing result, and is selected according to result
Go out the achievement of trainee in inquiry scoring modules；
044, after completing inquiry, the inquiry request password is temporarily stored in Cloud Server, when receiving call request next time, is recognized
Card module first logs in whether Cloud Server retrieval preserves inquiry request password described in identical, if not having, return to step
042, if so, then return to step 043, if the inquiry request password kept in Cloud Server within January once all not by
Call, though after January authentication module log in Cloud Server retrieval preserve inquiry request password described in identical, Cloud Server
Also refuse to send the inquiry request password to authentication module.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510863660.7A CN105303922B (en) | 2015-11-30 | 2015-11-30 | Electric energy quality monitoring simulation training system and its Training Methodology |
| CN201710925004.4A CN107545815A (en) | 2015-11-30 | 2015-11-30 | A kind of emulation training method of electric energy quality monitoring simulation training system |
| CN201710925000.6A CN107610543A (en) | 2015-11-30 | 2015-11-30 | A kind of electric energy quality monitoring simulation training system |
| CN201710813345.2A CN107633748A (en) | 2015-11-30 | 2015-11-30 | The emulation training method of electric energy quality monitoring simulation training system |
| CN201710813756.1A CN107358832A (en) | 2015-11-30 | 2015-11-30 | Electric energy quality monitoring simulation training system |
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| CN201510863660.7A CN105303922B (en) | 2015-11-30 | 2015-11-30 | Electric energy quality monitoring simulation training system and its Training Methodology |
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| CN201710813756.1A Division CN107358832A (en) | 2015-11-30 | 2015-11-30 | Electric energy quality monitoring simulation training system |
| CN201710925004.4A Division CN107545815A (en) | 2015-11-30 | 2015-11-30 | A kind of emulation training method of electric energy quality monitoring simulation training system |
| CN201710925000.6A Division CN107610543A (en) | 2015-11-30 | 2015-11-30 | A kind of electric energy quality monitoring simulation training system |
| CN201710813345.2A Division CN107633748A (en) | 2015-11-30 | 2015-11-30 | The emulation training method of electric energy quality monitoring simulation training system |
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| CN201710925004.4A Withdrawn CN107545815A (en) | 2015-11-30 | 2015-11-30 | A kind of emulation training method of electric energy quality monitoring simulation training system |
| CN201710925000.6A Withdrawn CN107610543A (en) | 2015-11-30 | 2015-11-30 | A kind of electric energy quality monitoring simulation training system |
| CN201510863660.7A Expired - Fee Related CN105303922B (en) | 2015-11-30 | 2015-11-30 | Electric energy quality monitoring simulation training system and its Training Methodology |
| CN201710813345.2A Withdrawn CN107633748A (en) | 2015-11-30 | 2015-11-30 | The emulation training method of electric energy quality monitoring simulation training system |
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| CN201710925004.4A Withdrawn CN107545815A (en) | 2015-11-30 | 2015-11-30 | A kind of emulation training method of electric energy quality monitoring simulation training system |
| CN201710925000.6A Withdrawn CN107610543A (en) | 2015-11-30 | 2015-11-30 | A kind of electric energy quality monitoring simulation training system |
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| CN106952518A (en) * | 2017-05-11 | 2017-07-14 | 武汉大学 | A kind of therrmodynamic system real-time simulation tutoring system based on smart mobile phone |
| CN110749767B (en) * | 2019-10-31 | 2020-07-10 | 四川大学 | Voltage sag monitoring device configuration method considering network topology dynamic reconstruction |
| CN112904156A (en) * | 2021-01-19 | 2021-06-04 | 重庆邮电大学 | Fault arc detection method based on frequency domain classification |
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| CN103035139B (en) * | 2012-11-28 | 2015-01-21 | 湖州电力局 | Simulating training system and training method thereof for distribution network cable line inspection tour |
| CN103581202B (en) * | 2013-11-19 | 2016-06-01 | 上海众人网络安全技术有限公司 | The trade company of identity-based authentication platform makes board cross-certification method |
| CN103916939A (en) * | 2014-03-10 | 2014-07-09 | 重庆邮电大学 | Wireless chain-type transmission system |
| CN104299464B (en) * | 2014-10-30 | 2016-08-17 | 国家电网公司 | Electric power safety technical ability simulation training system |
| CN204740299U (en) * | 2014-12-19 | 2015-11-04 | 国网电力科学研究院 | Electric energy quality intelligent monitoring system based on cloud calculates |
| CN105071531B (en) * | 2015-07-17 | 2017-07-25 | 云南电网有限责任公司电力科学研究院 | A kind of Internet of Things electricity quality intelligent monitoring governing system |
| CN105070052B (en) * | 2015-07-17 | 2017-11-03 | 袁丽 | Wireless communication system and method for intelligent traffic monitoring |
-
2015
- 2015-11-30 CN CN201710813756.1A patent/CN107358832A/en active Pending
- 2015-11-30 CN CN201710925004.4A patent/CN107545815A/en not_active Withdrawn
- 2015-11-30 CN CN201710925000.6A patent/CN107610543A/en not_active Withdrawn
- 2015-11-30 CN CN201510863660.7A patent/CN105303922B/en not_active Expired - Fee Related
- 2015-11-30 CN CN201710813345.2A patent/CN107633748A/en not_active Withdrawn
Also Published As
| Publication number | Publication date |
|---|---|
| CN107633748A (en) | 2018-01-26 |
| CN107610543A (en) | 2018-01-19 |
| CN107358832A (en) | 2017-11-17 |
| CN105303922A (en) | 2016-02-03 |
| CN107545815A (en) | 2018-01-05 |
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