CN207529205U - For the intelligent front end multimedia information acquisition system of lean monitoring power station equipment - Google Patents
For the intelligent front end multimedia information acquisition system of lean monitoring power station equipment Download PDFInfo
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- CN207529205U CN207529205U CN201721656862.5U CN201721656862U CN207529205U CN 207529205 U CN207529205 U CN 207529205U CN 201721656862 U CN201721656862 U CN 201721656862U CN 207529205 U CN207529205 U CN 207529205U
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Abstract
The utility model provides a kind of intelligent front end multimedia information acquisition system of lean monitoring power station equipment, multi-group data harvester including being set on production I areas, data acquisition device is connected with each device systems in production I areas, and data acquisition device is also connected by the first one-way safety isolating device with the intelligent front end data server set on production II areas；Intelligent front end data server connects the second one-way safety isolating device, and the second one-way safety isolating device is connect by private network with the cloud server set on management information great Qu；System to the real time data of acquisition without simple lossy compression, but dynamic sampling rate adjusting and data compression, and be stored in structured database according to actual needs；Unstructured database is stored in non-real-time data.The data of this system acquisition have accuracy, integrality, consistency, data transmission security and efficient；Using identical coding rule, data application is with more high efficiency, convenience, purpose.
Description
Technical field
The utility model is related to a kind of power station information acquisition systems more particularly to a kind of lean that is used for monitor power station equipment
Intelligent front end multimedia information acquisition system.
Background technology
In present Thermal Power Station, safe and environment-friendly and energy-saving and emission-reduction be each Thermal Power Station competitively strive by mesh
Mark, however the safe and environment-friendly and energy-saving and emission-reduction of Thermal Power Station all be unable to do without data, each unit of each Thermal Power Station
A large amount of operation data is owned by, these data reflection unit allocation process, operational effect, status of equipment etc..
Traditional power station platform data acquisition system is as shown in Figure 1, it is integrated with the real time data of level of factory production process.Hair
Change committee's 14 commands in 2014《Electric power monitoring system security protection provides》, the information security of electricity power enterprise adheres to " security partitioning, net
Network is special, lateral isolation, longitudinal certification " principle.Therefore, level of factory information system includes control zone, noncontrolled area and management letter
Xi great areas three-decker.Current power station big data platform is taken to obtain information by the mirror image for being located at management information great Qu
Business device obtains system data.Simultaneously as power station big data platform needs to obtain the data of a large amount of operating unit, these data
Different coding is all employed in each power plant, and big data platform needs carry out the same type data of different units at analysis
Reason, needs the different codings in the level of factory information system by each power plant to be unified into identical coding.
At present, with the gradual development of Internet technology, electricity power enterprise's data start gradually to the cloud of more concentration, intelligence
End big data direction is developed.Compared with traditional level of factory information system, power generation big data can obtain a large amount of units and its equipment
With the long-term operation data of system, it can be run for power station and the operation instruction to become more meticulous is provided.The fortune more to become more meticulous to power station
Row guidance, needs data source more fine.Compared with traditional power station information system, power station big data platform is for front end number
New requirement is proposed according to acquisition.In order to preferably supervision equipment state, so as to equipment and electricity generation system economy, spirit
Activity, reliability and safety optimize, and need the front end to become more meticulous intelligent data acqusition system that power station big data is pushed to put down
Platform develops to more accurate and true direction.
And traditional power station platform data acquisition system has following defect in face of the application of big data platform：
1st, the data of traditional data acquisition system pass through SIS systems, and same data compression is carried out to different data source
Algorithm process so that data generate lossy compression, destroys the accuracy, integrality, consistency of data.Due to mirror image server
In data originally be for level of factory state supervision, have already been through the processing such as data smoothing, compression, there is no consider go deep into
Data mining and equipment and system optimization, lead to the salvage value of data to reduce.
2nd, since the front end intelligent multimedia acquisition system to become more meticulous needs to obtain the data of a large amount of operating unit, these
Data all employ different coding in each power plant, and big data platform needs analyze the same type data of different units
Processing, needs the different coding in the level of factory information system by each power plant to be unified into identical coding.Also exist in certain power plant
DCS there is also the problem of corresponding data point of level of factory information system does not update after transformation.
3rd, the front end intelligent multimedia acquisition system gathered data source to become more meticulous needs ERP, embedded device, inspection
The non-real-time datas such as instrument, service bulletin, analysis report need better platform that can receive these data.Relational data stores
To relevant database, non-real-time data storage to the file management systems such as Hadoop, then by data critical feature extraction,
Then relevant database is arrived in storage.Traditional power station platform data acquisition system can not meet above-mentioned requirements.
Utility model content
The technical problems to be solved in the utility model is how to realize power station big data platform intelligent front end multimedia messages
The primitiveness of acquisition and coding uniformity.
In order to solve the above-mentioned technical problem, the technical solution of the utility model is to provide a kind of lean monitoring power station equipment
Intelligent front end multimedia information acquisition system, it is characterised in that：Multi-group data harvester including being set on production I areas, it is described
Data acquisition device is connected with each device systems in production I areas, and the data acquisition device is also isolated by the first one-way safety
Device is connected with the intelligent front end data server set on production II areas；The intelligent front end data server connection second is unidirectional
Safety insulating device, the second one-way safety isolating device are connect by private network with the cloud server set on management information great Qu；
System to the real time data of acquisition without simple lossy compression, but according to actual needs dynamic adjustment sampling
Frequency and data compression, and it is stored in structured database；Unstructured database is stored in non-real-time data.
Preferably, the data acquisition device is connected by matched interface arrangement with each device systems in production I areas.
It is highly preferred that the interface arrangement includes but not limited to DCS interfaces, PLC interface, SCADA interfaces, embedded device
Interface, fuel system interface.
Preferably, the data of each device systems in the production I areas by data acquisition device and the first one-way safety every
The intelligent front end data server set on production II areas is transferred to from device；Intelligent front end data server receives all production I
The data in area, and frequency is adopted using dynamic according to data source characteristic and carries out lossless data compression storage, it is ensured that the standard of initial data
True property, integrality, consistency；The data of intelligent front end data server are transferred to management by the second one-way safety isolating device
Information great Qu enters public network by special line, is ultimately connected to cloud server.
Preferably, the data in unstructured database are carried out with key feature extraction, and the key feature that will be extracted
It is stored in structured database.
Preferably, in data encoding rule, the system on the basis of big data platform is formulated to different unit different systems
One coding rule.
The side of data is directly obtained by being located at the mirror image server of management information great Qu with current power station big data platform
Formula is compared, and the intelligent front end multimedia information acquisition system of lean provided by the utility model monitoring power station equipment has following beneficial
Effect：
1st, for system closer to data source, the level in front end is more flat, and the data of acquisition are with more accuracy, complete
Whole property, consistency；
2nd, system requires to advise the pretreatment that non-relational data source is customized according to the data analysis of big data platform
Then, the key feature extraction and storage of data are realized, data mining analysis result later more reflects that power plant's operating system is real
Border situation more has decision guidance meaning；
3rd, system will be in each power plant's level of factory information system according to the requirement of big data platform transverse direction Data Analysis Services
In different coding unification to identical coding rule, data application later is with more high efficiency, convenience, purpose；
4th, the function of system determines that the unique subscriber of system is exactly the big data platform in high in the clouds, with SIS mirror image servers
Multi-user compares, data transmission efficiency higher, safer.
Description of the drawings
Fig. 1 is traditional power station platform data acquisition system schematic diagram；
Fig. 2 is that the intelligent front end multimedia information acquisition system structure of lean provided in this embodiment monitoring power station equipment is shown
It is intended to；
Fig. 3 is the intelligent front end multimedia information acquisition system flow that lean provided in this embodiment monitors power station equipment
Figure；
Fig. 4 stores schematic diagram for data；
Fig. 5 stores schematic diagram for data source and system；
Fig. 6 is extracted for image key feature with storing schematic diagram；
Fig. 7 is Video Key feature extraction and storage schematic diagram；
Fig. 8 is extracted for document key feature with storing schematic diagram.
Specific embodiment
With reference to specific embodiment, the utility model is expanded on further.
Fig. 2 is the intelligent front end multimedia information acquisition system signal that lean provided in this embodiment monitors power station equipment
Figure, the intelligent front end multimedia information acquisition system of lean monitoring power station equipment include being set on multigroup number in production I areas
According to harvester, data acquisition device is connected with each device systems in production I areas, and data acquisition device also passes through the first unidirectional peace
Full isolating device is connected with the intelligent front end data server set on production II areas, and intelligent front end data server connection second is single
To safety insulating device, the second one-way safety isolating device is connected by private network and the cloud server set on management information great Qu
It connects.
Data acquisition device is connect by DCS interfaces, PLC interface, SCADA interfaces, embedded device interface, fuel system
Mouthful ... each device systems matching with production I areas is waited to be connected.
With reference to Fig. 3, the workflow of the intelligent front end multimedia information acquisition system of lean monitoring power station equipment is as follows：Enterprise
The data such as industry resource planning ERP system, embedded device, logging, service bulletin, analysis report, intelligent fuel system are in life
Are produced from I areas, enter production II areas by data acquisition device and the first one-way safety isolating device；Intelligent front end data server cloth
It puts in production II areas, two-node cluster hot backup can be used according to demand, and add disk array, the data in all production I areas of reception, and according to
Data source characteristic adopts frequency using dynamic and carries out lossless data compression storage, it is ensured that the accuracy of initial data, integrality, consistent
Property；The intelligent front end data server in production II areas enters management information great Qu by the second one-way safety isolating device, passes through
Special line enters public network, is ultimately connected to cloud server.
With reference to Fig. 3~Fig. 5, for：ERP, sales data, embedded device, logging, cell phone pictures, service bulletin, change
The live multi-media information device such as report is tested, is taken by the intelligent front end data in any one headend equipment and produced on-site II areas
Business device connection, service are respectively set to server-side Server, client Client.For the pass of the embedded device at front end scene
The information such as key signals, coal analysis report, fault video image are transmitted to the intelligent front end in production II areas by web application modes
The non-relationals data file management systems such as the HDFS (Hadoop) on data server and typing.
System to the real time data that data acquisition device acquires without simple lossy compression, but according to actual needs
Dynamic sampling rate adjusting and data compression, and it is stored in structured database (relevant database)；To picture, video, text
The non-real-time datas such as shelves are stored in unstructured database, such as HDFS (Hadoop) file management system.To unstructured data
The data in library carry out key feature extraction, and the key feature extracted is stored in structured database.
With reference to Fig. 6~Fig. 8, the key feature of image, video, document is extracted, carries out image identification, video point first
Analysis, document analysis judge that it is applicable in SDK interfaces or api interface access, then carry out key feature extraction to it, and by institute
The key feature of extraction is stored in structured database.
For the intelligent data acquisition front end of big data platform, not only require nothing more than that there is field level front end data and adopt in real time
Collect function, also there is data-transformation facility to the big data platform in high in the clouds, not require the meter of grade progress related service at the scene
Calculate function.In transmission process, make every effort to be simple and efficient, production II areas are ensured by isolator with external network and produce I areas
Related data safety.
The utility model replaces traditional big data platform to be used with a set of intelligent front end multimedia information acquisition system
Level of factory data collecting system SIS.Intelligent front end multimedia information acquisition system is required according to the data analysis of big data platform
To the preprocessing rule that data source is customized, realize the key feature extraction and storage of data, ensure data source accuracy,
Integrality, consistency；Simultaneously according to the requirements of big data platform transverse direction Data Analysis Services by each power plant's level of factory information system
In different coding it is unified in identical coding rule.Data source more diversity changes original SIS data library and only acquires
The feature of real time data.It is more succinct with transmitting than legacy data acquisition on data transmission scheme.In data encoding rule
On, different unit different systems are formulated with the Unified coding rule on the basis of big data platform.
Although it should be understood that herein may usage amount term " first ", " second " etc. each unit is described,
But these units should not be limited by these terms.The use of these items is only for by a unit and another unit
It distinguishes.For example, in the case of the range without departing substantially from exemplary embodiment, it is single that first unit can be referred to as second
Member, and similarly second unit can be referred to as first unit.
The preferred embodiment of the above, only the utility model, it is in any form and substantive not to the utility model
On limitation, it is noted that for those skilled in the art, in the premise for not departing from the utility model method
Under, several improvement and supplement can be also made, these are improved and supplement also should be regarded as the scope of protection of the utility model.It is all ripe
Professional and technical personnel is known, in the case where not departing from the spirit and scope of the utility model, when using disclosed above
Technology contents and the equivalent variations of a little variation, modification and evolution made, be the utility model equivalent embodiment；Together
When, variation, modification and evolution of any equivalent variations that all substantial technologicals according to the utility model make above-described embodiment,
In the range of still falling within the technical solution of the utility model.
Claims (3)
1. a kind of intelligent front end multimedia information acquisition system of lean monitoring power station equipment, it is characterised in that：Including being set on life
The multi-group data harvester in I areas is produced, the data acquisition device is connected with each device systems in production I areas, and the data are adopted
Acquisition means are also connected by the first one-way safety isolating device with the intelligent front end data server set on production II areas；The intelligence
Energy front end data server connects the second one-way safety isolating device, and the second one-way safety isolating device is by private network with being set on pipe
Manage the cloud server connection of information great Qu.
2. a kind of intelligent front end multimedia information acquisition system of lean monitoring power station equipment as described in claim 1, special
Sign is：The data acquisition device is connected by matched interface arrangement with each device systems in production I areas.
3. a kind of intelligent front end multimedia information acquisition system of lean monitoring power station equipment as claimed in claim 2, special
Sign is：The interface arrangement includes but not limited to DCS interfaces, PLC interface, SCADA interfaces, embedded device interface, fuel
System interface.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201721656862.5U CN207529205U (en) | 2017-12-01 | 2017-12-01 | For the intelligent front end multimedia information acquisition system of lean monitoring power station equipment |
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| CN201721656862.5U CN207529205U (en) | 2017-12-01 | 2017-12-01 | For the intelligent front end multimedia information acquisition system of lean monitoring power station equipment |
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