AU2020103722A4 - A Dynamic Early Warning System for Power Station Operating Parameters Based on Cloud Platform - Google Patents
A Dynamic Early Warning System for Power Station Operating Parameters Based on Cloud Platform Download PDFInfo
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- AU2020103722A4 AU2020103722A4 AU2020103722A AU2020103722A AU2020103722A4 AU 2020103722 A4 AU2020103722 A4 AU 2020103722A4 AU 2020103722 A AU2020103722 A AU 2020103722A AU 2020103722 A AU2020103722 A AU 2020103722A AU 2020103722 A4 AU2020103722 A4 AU 2020103722A4
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- 238000004891 communication Methods 0.000 claims abstract description 19
- 238000005259 measurement Methods 0.000 claims abstract description 16
- 230000005540 biological transmission Effects 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 238000007405 data analysis Methods 0.000 claims abstract description 9
- 239000007788 liquid Substances 0.000 claims abstract description 6
- 238000007418 data mining Methods 0.000 claims description 4
- 238000011161 development Methods 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 abstract description 3
- 238000004458 analytical method Methods 0.000 abstract description 2
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- 230000000694 effects Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000010977 unit operation Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0267—Fault communication, e.g. human machine interface [HMI]
- G05B23/027—Alarm generation, e.g. communication protocol; Forms of alarm
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Physics & Mathematics (AREA)
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- Quality & Reliability (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The utility model discloses a dynamic early warning system of power station operation
parameters based on a cloud platform, which comprises a field measurement transmission unit,
an operation parameter monitoring module, an encrypted communication gateway module, a
power station data analysis cloud platform and an operation parameter alarm module. The field
measurement and transmission unit comprises a pressure sensor, a temperature sensor, a flow
sensor, a liquid level sensor and a rotating speed sensor. The system can dynamically identify
the running state of the power station system, dynamically set the alarm threshold, and
therefore carry out dynamic early warning. This system relies on the model of encrypted
communication combining cloud platform, in order to satisfy the high performance for the
platform and flexible scalability for the system, as well as reduce the development and
maintenance cost of the system.
Operation parameter alann module
Field Pressure sensor
Measurement
Operating Encrypted Power
an Temperaturesensor parameter communic M station
unit monitoring ation data
Transmission sensor module gateway analys is
module cloud
Liquid level sensor platform
Revolution speed
transducer
Figure 1 A schematic structural diagram of a dynamic early warning system for power
station operating parameters based on cloud platform
Description
Operation parameter alann module
Field Pressure sensor Measurement Operating Encrypted Power an Temperaturesensor parameter communic M station monitoring ation data unit Transmission sensor module gateway analys is module cloud Liquid level sensor platform
Revolution speed transducer
Figure 1 A schematic structural diagram of a dynamic early warning system for power
station operating parameters based on cloud platform
A Dynamic Early Warning System for Power Station Operating Parameters
Based on Cloud Platform
[01] The utility model relates to a dynamic early warning system of power station operation parameters based on a cloud platform.
[02] The operating parameter values of the power station is an intuitive reflection of the operating state of the power station. Stable operating conditions of the power station require that the operating parameters should be stable within a small range. When the operating parameters exceed this range, timely alarm should be given to remind the power station operators to analyze and judge the operating state of the power station, guide the operators to adjust the operating conditions for eliminating faults deal with faults, as well as improve the safety, economy and environmental protection of the power station unit operation.
[03] Currently, the alarm system for abnormal operating parameters of power station mainly compares the actual operating parameters collected by the field measurement unit with the artificially set fixed threshold, and gives an alarm after exceeding the set threshold. However, with the long-term operation of the power station, the operating state of the system equipment will change, which will make the operating parameters deviate from the initial design threshold and lead to false alarms.
[04] Therefore, it is undeniable that a system which can dynamically identify the operating state of power station system, set alarm threshold, and in turn automatically runs dynamically warning should be widely required.
[05] Therefore, it is undeniable that a system which can dynamically identify the operating state of power station system, set alarm threshold, and in turn automatically runs dynamic early warning should be widely required.
[06] The purpose of this utility model is to provide a dynamic early warning system which can dynamically identify the running state of the power station system, dynamically set the alarm threshold, and in turn carry out dynamic early warning. It adopts the mode of "encrypted communication+cloud platform", and reduces the development and maintenance cost of the system so as to achieve the high performance of the platform and the flexible expansibility of the system.
[07] In order to solve the above technical problems, the viable solutions applying this utility model are:
[08] A dynamic early warning system for power station operating parameters based on a cloud platform comprises a field measurement transmission unit, an operating parameter monitoring module, an encrypted communication gateway module, a power station data analysis cloud platform and an operating parameter alarm module. The field measurement and transmission unit comprises a pressure sensor, a temperature sensor, a flow sensor, a liquid level sensor and a rotating speed sensor.
[09] Preferably, the field measurement and transmission sensor transmit the main power station operating parameters to the power station operating parameter monitoring module.
[010] Preferably, after the operation parameter monitoring module backs up the data, one copy is uploaded to the power station data analysis cloud platform through the encrypted communication gateway module. The other one is compared with the
dynamic threshold returned by the encrypted communication gateway module after the cloud platform analyzes the power station operation data at the previous moment, and the operation parameter alarm module is controlled to give an alarm according to the comparison result, so as to realize the dynamic early warning of the power station operation state.
[011] Preferably, the cloud platform is to perform data mining on the historical operating parameter data of the power station to establish a dynamic model of the operating state of the power station. After the new operating parameters are input, the model predicts the operating parameters at the next moment, and gives the dynamic threshold of the operating parameters of the power station according to the expert rules of the power station.
[012] The technical effect of that utility model are mainly reflected in the follow aspects: the utility model sends the main power station operation parameters to the power station operation parameter monitoring module through the field measurement and transmission sensor, and after the module backs up the data, one copy is uploaded to the power station data analysis cloud platform through the encrypted communication gateway module. The other one is compared with the dynamic threshold returned by the encrypted communication gateway module after the cloud platform analyzes the power station operation data at the previous moment, and the operation parameter alarm module is controlled to give an alarm according to the comparison result, so as to realize the dynamic early warning of the power station operation state, dynamically identify the power station system operation state, dynamically set the alarm threshold, and thus carry out the dynamic early warning. It adopts the mode of "encrypted communication+cloud platform", and reduces the development and maintenance cost of the system so as to achieve the high performance of the platform and the flexible expansibility of the system.
[013] Fig. 1 is a schematic structural diagram of a dynamic early warning system for power station operating parameters based on cloud platform.
[014] With reference to fig. 1, the detailed implementation of the utility model will be further described below, so as to make the technical scheme of the utility model easier to understand and operate.
[015] In this embodiment, it should be understood that the orientations or positional relationships indicated by the terms "middle", "upper", "lower", "top", "right", "left", "upper", "back", "middle", etc. are based on the orientations or positional relationships shown in the drawings. There are only for the convenience of describing the present invention, but are not for indicating or implying the fact that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, therefor which cannot be understood as limitations of this invention.
[016] In addition, if the connection or fixing method between the components is not specifically described in this specific embodiment, the connection or fixing method can be fixed by bolts or pins, or pin shaft connections etc., which could be commonly applied for the prior art. Therefore, it will not be described in detail in this embodiment.
[017] A dynamic early warning system of power station operating parameters based on cloud platform, as shown in fig. 1, comprises a field measurement and transmission unit, an operating parameter monitoring module, an encrypted communication gateway module, a power station data analysis cloud platform and an operating parameter alarm module. The field measurement and transmission unit
comprise a pressure sensor, a temperature sensor, a flow sensor, a liquid level sensor and a rotating speed sensor. The field measurement and transmission sensor send the main power station operation parameters to the power station operation parameter monitoring module. After the data is backed up by the operating parameter monitoring module, one copy is uploaded to the power station data analysis cloud platform through the encrypted communication gateway module, and then the other is the same as the dynamics sent back by the encrypted communication gateway module after the cloud platform analyzed the power station operating data at the previous time threshold to compare. According to the comparison result, the operating parameter alarm module is controlled to give an alarm to realize the dynamic early warning of the operating status of the power station. The cloud platform is to perform data mining on the historical operating parameter data of the power station to establish a dynamic model of the operating state of the power station. After the new operating parameters are input, the model predicts the operating parameters at the next moment, and combines the power station expert rules to give the dynamic threshold of power station operating parameters. Due to the higher requirements of data mining and system modeling on the performance of the running platform, the scalability and flexibility of the system are considered at the same time.It adopts the mode of "encrypted communication+cloud platform", and reduces the development and maintenance cost of the system so as to achieve the high performance of the platform and the flexible expansibility of the system.
[018] The technical effects of the utility model are mainly reflected in the following aspects: the utility model sends the main power station operation parameters to the power station operation parameter monitoring module through the field measurement and transmission sensor. After the data is backed up by the operating parameter monitoring module,one copy is uploaded to the power station data analysis cloud platform through the encrypted communication gateway module, and then the other is the same as the dynamics sent back by the encrypted communication gateway module after the cloud platform analyzed the power station operating date at the the previous time threshold to compare. According to the comparison result, the operation parameter alarm module is controlled to give an alarm, so as to realize the dynamic early warning of the power station operation state, dynamically identify the power station system operation state, dynamically set the alarm threshold value, and thus carry out the dynamic early warning. It adopts the mode of "encrypted communication+cloud platform", and reduces the development and maintenance cost of the system so as to achieve the high performance of the platform and the flexible expansibility of the system.
[019] Although the invention has been described with reference to specific examples, it will be appreciated by those skilled in the art that the invention may be embodied in many other forms, in keeping with the broad principles and the spirit of the invention described herein.
[020] The present invention and the described embodiments specifically include the best method known to the applicant of performing the invention. The present invention and the described preferred embodiments specifically include at least one feature that is industrially applicable
Claims (4)
1. A dynamic early warning system for power station operating parameters based
on cloud platform, which comprises a field measurement and transmission unit, and is
characterized by further comprising an operating parameter monitoring module, an
encrypted communication gateway module, a power station data analysis cloud
platform and an operating parameter alarm module. The field measurement and
transmission unit comprise a pressure sensor, a temperature sensor, a flow sensor, a
liquid level sensor and a rotating speed sensor.
2. The cloud platform-based dynamic early warning system for power plant
operating parameters according to claim 1, characterized in that the on-site
measurement and transmission sensor sends main power plant operating parameters to
the power plant operating parameter monitoring module.
3. The dynamic early warning system of power station operation parameters based
on cloud platform according to claim 1, characterized in that after the operation
parameter monitoring module backs up the data, one copy is uploaded to the power
station data analysis cloud platform through the encrypted communication gateway
module. The other one is compared with the dynamic threshold returned by the
encrypted communication gateway module after the cloud platform analyzes the power
station operation data at the previous moment, and the operation parameter alarm
module is controlled to give an alarm according to the comparison result, so as to realize
the dynamic early warning of the power station operation state.
4. The cloud platform-based dynamic early warning system for power plant
operating parameters according to claim 1, characterized in that: the cloud platform performs data mining on the historical operating parameter data of the power plant to establish a dynamic model of the power plant operating state, and new operating parameters. After input, the model predicts the operating parameters at the next moment, and combines the power plant expert rules to give the dynamic threshold of the power plant operating parameters.
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AU2020103722A AU2020103722A4 (en) | 2020-11-27 | 2020-11-27 | A Dynamic Early Warning System for Power Station Operating Parameters Based on Cloud Platform |
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AU2020103722A AU2020103722A4 (en) | 2020-11-27 | 2020-11-27 | A Dynamic Early Warning System for Power Station Operating Parameters Based on Cloud Platform |
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113011656A (en) * | 2021-03-22 | 2021-06-22 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Power station auxiliary machine fault early warning method and system |
CN113507653A (en) * | 2021-07-07 | 2021-10-15 | 中国电建集团河北省电力勘测设计研究院有限公司 | Power plant booster station electric five-prevention system and method based on intelligent identification |
CN113783730A (en) * | 2021-09-15 | 2021-12-10 | 国网内蒙古东部电力有限公司电力科学研究院 | Information transmission method and system based on cloud edge cooperation under extreme conditions |
CN113838269A (en) * | 2021-09-18 | 2021-12-24 | 国网河北省电力有限公司电力科学研究院 | Low-voltage switch cabinet temperature and humidity monitoring and early warning method and system and storage medium |
CN114110406A (en) * | 2021-11-11 | 2022-03-01 | 北京君岳伟信工程技术有限公司 | Intelligent lubrication management system |
CN114466258A (en) * | 2022-02-09 | 2022-05-10 | 河南奇点网络科技有限公司 | Wisdom filling station data acquisition system based on 5G technique |
CN114659562A (en) * | 2022-04-02 | 2022-06-24 | 应急管理部天津消防研究所 | Intelligent state early warning method for fixed fire-fighting water supply equipment |
CN115442435A (en) * | 2022-10-27 | 2022-12-06 | 国网浙江省电力有限公司宁波市北仑区供电公司 | Power distribution gateway monitoring method, system, power distribution station, equipment and medium |
-
2020
- 2020-11-27 AU AU2020103722A patent/AU2020103722A4/en not_active Ceased
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113011656A (en) * | 2021-03-22 | 2021-06-22 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Power station auxiliary machine fault early warning method and system |
CN113011656B (en) * | 2021-03-22 | 2022-08-02 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Power station auxiliary machine fault early warning method and system |
CN113507653A (en) * | 2021-07-07 | 2021-10-15 | 中国电建集团河北省电力勘测设计研究院有限公司 | Power plant booster station electric five-prevention system and method based on intelligent identification |
CN113507653B (en) * | 2021-07-07 | 2023-09-26 | 中国电建集团河北省电力勘测设计研究院有限公司 | Intelligent identification-based electric five-prevention system and method for booster station of power plant |
CN113783730A (en) * | 2021-09-15 | 2021-12-10 | 国网内蒙古东部电力有限公司电力科学研究院 | Information transmission method and system based on cloud edge cooperation under extreme conditions |
CN113783730B (en) * | 2021-09-15 | 2024-06-07 | 国网内蒙古东部电力有限公司电力科学研究院 | Information transmission method and system based on cloud edge cooperation under extreme conditions |
CN113838269A (en) * | 2021-09-18 | 2021-12-24 | 国网河北省电力有限公司电力科学研究院 | Low-voltage switch cabinet temperature and humidity monitoring and early warning method and system and storage medium |
CN114110406A (en) * | 2021-11-11 | 2022-03-01 | 北京君岳伟信工程技术有限公司 | Intelligent lubrication management system |
CN114466258A (en) * | 2022-02-09 | 2022-05-10 | 河南奇点网络科技有限公司 | Wisdom filling station data acquisition system based on 5G technique |
CN114659562A (en) * | 2022-04-02 | 2022-06-24 | 应急管理部天津消防研究所 | Intelligent state early warning method for fixed fire-fighting water supply equipment |
CN114659562B (en) * | 2022-04-02 | 2023-09-05 | 应急管理部天津消防研究所 | Intelligent state early warning method for fixed fire water supply equipment |
CN115442435A (en) * | 2022-10-27 | 2022-12-06 | 国网浙江省电力有限公司宁波市北仑区供电公司 | Power distribution gateway monitoring method, system, power distribution station, equipment and medium |
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