CN103854145A - Verification rule base based production energy data processing system - Google Patents
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- CN103854145A CN103854145A CN201410121646.5A CN201410121646A CN103854145A CN 103854145 A CN103854145 A CN 103854145A CN 201410121646 A CN201410121646 A CN 201410121646A CN 103854145 A CN103854145 A CN 103854145A
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Abstract
The invention discloses a verification rule base based production energy data processing system and relates to an enterprise energy management system. The system comprises a distributed data extracting layer which is formed by a plurality of data extracting modules and used for extracting production energy data and sending production energy data to a data message transmission processing layer, the data message transmission processing layer used for verifying the production energy data according to a verification rule base and storing the data and a discrete data service providing layer used for analyzing and managing the verified production energy data stored in the data message transmission processing layer and providing data interfaces for users. The verification rule base based production energy data processing system provided by the invention has the advantages that real-time collection and unified management are carried out on the production energy data of process enterprises of metallurgy, chemical industry, papermaking, glass and the like; the real-time monitoring and the unified centralized management of the production energy data are really realized.
Description
Technical field
The present invention relates to enterprise energy management system, relate in particular to the large production energy of the process enterprise energy source data collection checking treatment systems such as metallurgy, chemical industry, papermaking, glass, be specifically related to a kind of production energy data handling system based on verification rule base.
Background technology
The production energy source data of enterprise relates to the various energy medium such as the water, electricity, wind, coal gas, oxygen, nitrogen, argon gas, steam, coal of enterprise, and the collection of these data relates to various collecting devices and two or three grades of production management systems such as instrument, instrument, truck scale, track scale, PLC, DCS.Data are disperseed relatively, can not accomplish the unified management of " number goes out a place, measures ", therefore with regard to the uniform outlet software that needs a kind of these equipment of compatibility, these data are collected and are managed concentratedly.
At present the information system of the process enterprise such as metallurgy, chemical industry, papermaking, glass is perfect not, and relatively disperses comparatively speaking, and these Data Collections of while are more single or bias toward some aspects.The general extensive management mode in the past that adopts of this enterprise, the energy of buying once measures comparatively perfect, and inter-plant clearing and process energy consumption measuring instrument are not well established, and the metering accuracy of some instrument neither be too high.Energy management post setting and segregation of duties are clear and definite not, metering outfit is equipped with, machine account is set up, overhaul and calibration does not have scientific and normal system, energy consumption cost is adjusted difficulty and promptness, accuracy is inadequate, simultaneously continuous data, energy medium data are distributed in independent autonomous system relatively, whole productions energy source data collection means and the management mode space that also improves a lot.
Clearing such as the energy source data of the process enterprise of metallurgy, chemical industry, papermaking, glass etc. at present, usually that subsidiary factory or department settle accounts according to metering separately, cause settling accounts disunity, bring a lot of problems to enterprise, simultaneously data can not realize and measuring and the accuracy of clearing, data also has much room for improvement simultaneously, have also caused the deviation of checkout result simultaneously.
Summary of the invention
In order to overcome the deficiencies in the prior art, the invention provides a kind of production energy data handling system based on verification rule base, the production energy source data of the process enterprise of metallurgy, chemical industry, papermaking, glass etc. is carried out to real-time collection and unified management, real realization produced the monitoring in real time of energy source data and unified centralized management, accomplish " number goes out a place, measures one ".
For achieving the above object, the present invention takes following technical scheme:
A production energy data handling system based on verification rule base, comprising:
Distributed data extract layer, is made up of multiple data extraction module, for extracting production energy source data and sending it to data-message transmission process layer;
Data-message transmission process layer, for source data carrying out verification storage according to verification rule base to producing;
Discrete type data, services provides layer, for managing producing energy data analysis after the verification of data transmission of messages processing layer storage, and provides data-interface to user.
Further, data-message transmission process layer can source data carries out verification and comprises the steps: producing
(1) enterprise setting according to user produce can source data experience value range carry out verification, when the production energy source data of verification is within this scope, think that this production energy source data is reasonably, no longer carries out verification; Otherwise, jump into step (2);
(2) carry out verification according to cascade and the operation relation produced between can source data, when the production energy data symbols of verification is should cascade connection thinks that these data are reasonably, no longer carry out verification; Otherwise, jump into step (3);
(3) carry out verification according to data fluctuations curve, verification rule base extracts verification storage and produces and can source data generate the corresponding data curve of cyclical fluctuations, or sets the generated data curve of cyclical fluctuations according to user; Then according to data fluctuations curve, the production energy source data that needs verification is carried out to verification, the production energy source data that exceeds certain threshold value with curve fluctuation deviation is withdrawn into rational position.
Further, data-message transmission process layer comprises that messaging bus, data bus, data pool, convergence are adjusted module, data check rule is safeguarded and the temporary module of data check module, verification rule base and data pool checking data, described messaging bus is set up message queue, the enterprise that described distributed data extract layer extracts produces and can source data according to user's configuration, enterprise be produced and can source data be labeled as respectively data to be verified, data to be adjusted and accounting data to be verified, then be delivered to data pool according to message queue by data bus, the production energy source data that described convergence is adjusted in module extraction data bus or data pool is revised and is adjusted as basic data, described data check rule safeguards and data check module is carried out revised data contrast and the verification of verification rule by verification rule base, then the production energy security deposit data after verification is kept in module to data pool checking data.Verification rule base extracts final data from the temporary module of data pool checking data and generates the corresponding data curve of cyclical fluctuations.
Further, convergence is adjusted module and is comprised data correction module and data accounting module, described data correction module is carried out data correction using the production energy source data of data pool storage as basic data, revised data are stored in the temporary module of data pool checking data simultaneously, for data check rule is safeguarded and data check module provides revised basic data, described data adjust that module is safeguarded data check rule and data check resume module after data and deposit in being labeled as without the data of verification in the temporary module of data pool checking data and carry out data accounting.The module of data accounting is simultaneously final data by the data markers after adjusting, and will not need the secure data of adjusting to be labeled as final data, is final data by not needing the data markers of verification and accounting after revising.
Further, data accounting module comprises a hour level formula accounting, class's formula accounting, sky level formula accounting and the moon grade four kinds of accounting modes of formula accounting.
Further, data check rule is safeguarded and data check module comprises data check rule maintenance module and data check module, described data check rule maintenance module is used for safeguarding verification rule base, described data check module is carried out verification for revised basic data data correcting module being provided according to verification rule base, and flow to data using the data after verification as secure data and adjust module and carry out data accounting, then the secure data after verification is stored in the temporary module of data pool checking data; The temporary module of described data pool checking data adopts memory database to carry out secure data and keeps in, and has improved greatly the transfer efficiency of secure data.
Further, discrete type data, services provides layer to comprise that data centralization analysis management module and discrete type data, services provide module; Described data centralization analysis management module is carried out analysis management to the final data in the temporary module of data pool checking data, and with visual pattern, user is shown; Described discrete type data, services provides module extract the final data in the temporary module of data pool checking data and provide data-interface and service to user.
Further, discrete type data, services provides module to provide modbusTCP data-interface, modbusRTU data-interface, relational database data-interface, OPC Server data-interface to user.
Further, data centralization analysis management module comprises across comparison analysis module, longitudinally comparative analysis module and trend analysis module, applied energy constitute analysis module, variance analysis module, energy efficiency of equipment analysis module, variance analysis module in conjunction with practical business; Described visual pattern comprises form, graphic form.
Further, distributed data extract layer comprises OPC data extraction module, ModbusTCP data extraction module, ModbusRTU data extraction module, Zijin bridge database data extraction module, Wonderware real-time data base data extraction module, oracle database data extraction module, SqlServer database data extraction module, MySql database data extraction module.
Further, OPC data extraction module provides OPC interface, by multithreading or multi-client extract real-time data; Described ModbusTCP data extraction module provides ModbusTCP interface; Described ModbusRTU data extraction module provides ModbusRTU interface; Described Zijin bridge database data extraction module provides Zijin bridge database interface; Described Wonderware real-time data base data extraction module provides Wonderware real time data bank interface; Described oracle database data extraction module provides oracle database interface; Described SqlServer database data extraction module provides SqlServer database interface; Described MySql database data extraction module provides MySql database interface.
Beneficial effect: a kind of production energy data processing technique based on verification rule base that the technology of the present invention provides, by distributed data extraction model, data-message transmission process model, convergence Accounting Model, data check rule safeguards and data check model, the temporary model of data pool checking data, data centralization analysis management model, discrete type data, services supply a model enterprise is produced can source data extract, correction, verification, management, analysis and monitoring in real time, really having realized enterprise produces and can source data " count a place, measure one ".Make each subsidiary factory and the department of the process enterprises such as metallurgy, chemical industry, papermaking, glass adopt unified data to calculate and settlement platform, share real time data.Securities more accurate in data, data real-time stronger, data is protected simultaneously.
Brief description of the drawings
Fig. 1 is a kind of production energy data handling system structural drawing based on verification rule base provided by the invention.
Fig. 2 is data correction module data correction flow process provided by the invention (1).
Fig. 3 is data correction module data correction flow process provided by the invention (2).
Fig. 4 is that data provided by the invention are adjusted module hour level formula accounting flow process.
Fig. 5 is that data provided by the invention are adjusted module class formula accounting flow process (1).
Fig. 6 is that data provided by the invention are adjusted module class formula accounting flow process (2).
Fig. 7 is that data provided by the invention are adjusted module sky level formula accounting flow process (1).
Fig. 8 is that data provided by the invention are adjusted module sky level formula accounting flow process (2).
Fig. 9 is that data provided by the invention are adjusted module moon level formula accounting flow process (1).
Figure 10 is that data provided by the invention are adjusted module moon level formula accounting flow process (2).
Figure 11 is that OPC interface image data logic provided by the invention judges flow process.
Figure 12 is that ModbusTCP interface image data logic provided by the invention judges flow process.
Figure 13 is that ModbusRTU interface image data logic provided by the invention judges flow process.
Figure 14 is that database image data logic provided by the invention judges flow process.
Wherein, the whether successful reading out data decision logic of Fig. 2 is that data cell is according to condition revised in "Yes" map interlinking at present 3, for unit is waited in "No" map interlinking at present 3; Whether to the time: xx:xx decision logic is that unit is waited in no map interlinking at present 3.Wherein, Fig. 3 waits on unit that map interlinking 2 is whether to the time: xx:xx decision logic.Wherein, Fig. 5 brings map interlinking 5 under teams and groups' formula computing unit into data importing teams and groups level is gathered to a progressive schedule; Being more than or equal to teams and groups end time+30 point decision logic is that unit is waited in no map interlinking at present 5; Fig. 5 waits for that on unit, map interlinking 5 is more than or equal to teams and groups end time+30 point decision logic. wherein, Fig. 7 changes sky level variable into collection item that under Unit 0, map interlinking 8 comprises according to Index Formula respectively from gathering a dump list, data typing table, day data design schedule takes out data cell corresponding to the previous day; It is that unit is waited in no map interlinking at present 8 that Fig. 7 is more than or equal to a day level accounting time decision logic; Fig. 8 waits for that on unit, map interlinking 7 is more than or equal to a day level accounting time decision logic; Wherein, whether successfully to import decision logic be that "Yes" map interlinking at present level in October variable changes Unit 0 into Fig. 9; Figure 10 waits on unit whether map interlinking 9 equals month level accounting time (day, hour, point) decision logic.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further described.
As shown in Figure 1, a kind of production energy data handling system based on verification rule base provided by the invention, comprises three layers, is respectively distributed data extract layer, data-message transmission process layer and discrete type data, services layer is provided.
Distributed data extract layer, extract enterprise and produce energy source data, such as various energy medium such as water, electricity, wind, coal gas, oxygen, nitrogen, argon gas, steam, coals, and these data are gathered by message and send to the data pool in data-message transmission process layer.Distributed data extract layer is made up of several data extraction module, comprises OPC data extraction module, ModbusTCP data extraction module, ModbusRTU data extraction module, Zijin bridge database data extraction module, Wonderware real-time data base data extraction module, oracle database data extraction module, SqlServer database data extraction module, MySql database data extraction module.These extraction modules have comprised enterprise and have produced the energy various sources that source data produced and stored, such as OPC data extraction module provides OPC interface, the energy source data that enterprise's production control process adopts the various instrument apparatuses of OPC communications protocol to provide is provided, and OPC interface image data logic judges that flow process as shown in figure 11; Modbus is the universal communication agreement with current industrial control field as a kind of widespread use, ModbusTCP data extraction module and ModbusRTU data extraction module provide respectively ModbusTCP and two kinds of interfaces of ModbusRTU, and two kinds of interface image data logics of ModbusTCP and ModbusRTU judge that flow process as shown in Figure 12,13; Produce energy management system for widely used two or three grades of current enterprise again, the invention provides the application interface of the database that various production energy management systems adopt, such as Zijin bridge database interface, Wonderware real time data bank interface, oracle database interface, SqlServer database interface and MySql database interface, its image data logic judges that flow process as shown in figure 14.The data that distributed data extract layer extracts are because source is different, and the process checking of the data of some database or artificial experience were processed, and need to process respectively it.So the present invention according to manager user configuration, adds a flag byte to the data of extracting after data are extracted, and is respectively data to be verified, data to be adjusted and accounting data to be verified by the data markers of extraction.Manager is mainly for different user's requests, a kind of data handling system based on verification rule base to be configured, and is equivalent to a user interface or management software.Comprise Basic Information Management, entrance information management, gather an information management, export information management, forward the modules such as operation, journalizing.
MQ(Message Queue shown in Figure 11, Figure 12, Figure 13, Figure 14), be that Microsoft's message queue is between multiple different application, to realize a kind of asynchronous transfer mode of intercommunication mutually, the application of intercommunication can be distributed on same machine mutually, also can be distributed in the arbitrary position in connected cyberspace.The sender of message, oneself wanting the information sending to put into a container, is then saved to it in the message queue in a system share space; The message sink program in this locality or strange land is taken out the message of issuing it again and is processed from this queue.
Data-message transmission process layer, comprises that messaging bus, data bus, data pool, convergence are adjusted module, data check rule is safeguarded and the temporary module of data check module, verification rule base and data pool checking data.The various enterprises that distributed data extract layer extracts produce energy convergence to data bus, and be delivered to data pool by data bus, the production energy source data that convergence is adjusted in module extraction data bus or data pool is revised and is adjusted as basic data, data check rule safeguards and data check module is carried out revised data contrast and the verification of verification rule by verification rule base, then the production energy security deposit data after verification is kept in module to data pool checking data.
Wherein, messaging bus is processed foreground message, sets up message queue, and the production energy source data that distributed data extract layer is extracted is stored in data pool by data bus by message queue.Convergence is adjusted module and is comprised data correction module and data accounting module, data correction module pin carries out data correction using the production energy source data of data pool storage as basic data, simultaneously for data check rule is safeguarded and data check module provides revised basic data more accurately, data adjust that module is safeguarded data check rule and the verification of data check module after secure data carry out data accounting.Data check rule is safeguarded and data check module comprises data check rule maintenance module and data check module, data check rule maintenance module is used for safeguarding verification rule base, data check module is carried out verification for revised basic data data correcting module being provided according to verification rule base, and flow to data using the data after verification as secure data and adjust module and carry out data accounting, then the secure data after verification is stored in the temporary module of data pool checking data.The temporary module of data pool checking data remains up-to-date production energy security data.It is final data by the data markers after adjusting that data are adjusted module, will not need the secure data of adjusting to be labeled as final data, is final data by not needing the data markers of verification and accounting after revising.
Verification rule base provided by the invention comprises the verification content of three steps, the first step be the enterprise that sets according to user enterprise produce can source data empirical value carry out verification, the blast furnace gas generating capacity of a day of for example setting 1080 blast furnace is that 10W is to 20W left and right; When the production energy source data of verification is within this scope, verification rule thinks that these data are reasonably, no longer carry out verification; If not within the scope of this, jump into second step.Second step basis is that cascade and the operation relation produced between energy source data carry out verification, between production energy source data empirical value and production energy source data, cascade and operation relation are according to the conversion transformation relation between enterprise's data that knowhow sums up for many years, can specifically safeguard according to enterprise present situation simultaneously.For example blast furnace gas generating capacity=user 1 consumption+user 2 consumptions+user n consumption+amount of diffusing, when the production energy data symbols of verification is should cascade connection carries out verification according to cascade connection, obtains reasonable data, no longer carries out verification; If do not meet, jump into the 3rd step; The 3rd step is to carry out verification according to data fluctuations curve.Data fluctuations curve is according to data a kind of data check mode of the current up-to-date data of conversion trend verification in (the previous day, January etc.) for the previous period.Verification rule base extracts up-to-date secure data from the temporary module of data pool checking data, and generate corresponding data fluctuations curve, then according to data fluctuations curve, the data that need verification are carried out to verification, will be withdrawn into rational position with the larger data of curve fluctuation deviation ratio.
Data check rule maintenance module can carry out by manager the maintenance of verification rule base, and the maintenance of verification rule is mainly that according to producing in its actual production, energy source data is produced energy source data empirical value to enterprise and enterprise produces energy data cascade and operation relation changes according to enterprise customer.Certain enterprise also can oneself choose more rational data the data fluctuations curve of verification rule base is changed.
Preference data correcting module data correction flow process of the present invention as shown in Figure 2 and Figure 3, modification rule is formulated according to the fluctuating range of data and historical trend, the modification rule that this example adopts is introduced upper one of three data AT(and is revised data), T(correction data to be repaired), BT(data pool latest data), and safeguard li_Range (normal fluctuation range in the unit interval) according to enterprise's knowhow value, according to calculating the upper limit in Li_TopRange(fluctuation range with the range of safeguarding), lower limit in Li_BottomRange(fluctuation range).Wherein li_TopRange=AT+li_Range, li_BottomRange=AT-Li_Range.Correction algorithm is: if(T>AT & & T is within the scope of li_TopRange) T=T; If(T>AT & & T is not within the scope of li_TopRange) T=AT; If (T<AT & & BT is within the scope of AT+2*Li_Range) T=AT; If(T<AT & & T is within the scope of li_BottomRange, and BT is within the scope of AT-2*Li_Range) T=T; If (T <AT & & BT within the scope of AT-2*li_Range & & T not within the scope of li_BottomRange) T=AT; If (T<AT & & T is not within the scope of li_BottomRange, and BT is not within the scope of AT-2*Li_Range) T=AT.
Data accounting module provided by the invention is divided into a hour level formula accounting, class's formula accounting, sky level formula accounting and the moon grade formula accounting Four types.Wherein, hour level formula is adjusted flow process as shown in Figure 4; Class's formula is adjusted flow process as shown in Figure 5,6; It level formula is adjusted flow process as shown in Figure 7,8; Moon level formula accounting flow process as shown in Figure 9, Figure 10.
Discrete type data, services provides layer, and to the production energy security data analysis management of the temporary module stores of data pool checking data, and extraction production energy security data provide data-interface and service to user.Discrete type data, services provides layer to comprise that data centralization analysis management module and discrete type data, services provide module.Data centralization analysis management module is managed the data analysis in the temporary module of data pool checking data, and with visual pattern, user is shown; Discrete type data, services provides module extract the data in the temporary module of data pool checking data and data-interface and service are outwards provided.
Data centralization analysis management module by laterally, longitudinally comparative analysis and in conjunction with modules such as the trend analysis of practical business, applied energy constitute analysis, variance analysis, energy efficiency of equipment analysis, variance analyses to producing energy security data analysis and displaying.Horizontal analysis was analyzed by the same period of data of multiple same types, found out difference.Vertical analysis is analyzed by the same data different time sections of uniform data, finds out data fluctuations rule.Set up module according to these two kinds of methods, different business datums is combined and just formed different analysis kinds.As established, reserved energy status data will import to laterally, just formed applied energy constitute analysis in factory in vertical analysis module.Two cover operation production datas of same processes are imported to horizontal analysis module and just formed variance analysis etc.Data centralization analysis management module is passed through the visual patterns such as form, figure to user's display data analysis result directly perceived.
Discrete type data, services provides module that modbusTCP data-interface, modbusRTU data-interface, relational database data-interface, OPC Server data-interface are provided, and is provided and produces energy security data to other users by several data interface.
Taking iron and steel enterprise's blast furnace gas as example, the OPC Client module of distributed data extract layer or ModbusRTU module are carried out the extraction of coal gas data by the smart machine such as PLC or instrument, primary data is sent to data bus by messaging bus by data-message transmission process layer, convergence is adjusted module readout data bus data and is carried out data correction, and correction is completed to deposit data in the temporary module of data pool checking data, data check rule is safeguarded and data check module is carried out data check to the data that need verification in the temporary model of data pool data, and the deposit data that verification is completed is in the temporary module of data pool checking data, convergence is adjusted module the data in the temporary module of data pool checking data is carried out to data accounting, be final data by the data markers after adjusting simultaneously, to not need the secure data of adjusting to be labeled as final data, be final data by not needing the data markers of verification and accounting after revising.Discrete type data provide the analysis management module of layer according to enterprise demand, coal gas data analysis to be managed, and the data, services such as while OPC Server, ModbusTCP, relational database provide program, provide data, services for specific demand.
With blast furnace gas generating capacity data instance, its data check rule is empirical value, determines theoretical value and the fluctuating range of blast furnace gas unit interval generating capacity according to blast furnace heat size.Its data cascade connection is that the blast furnace gas generating capacity=blast furnace gas consumption 1+ blast furnace gas consumption 2+ blast furnace gas consumption n+ amount of diffusing+R(gas cabinet cabinet holds variation).Other reference values, as TRT(pressure electricity-generating) generated energy and the trend analysis of blast furnace gas generating capacity etc. of unit interval.
The above is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. the production energy data handling system based on verification rule base, is characterized in that comprising:
Distributed data extract layer, is made up of multiple data extraction module, produces energy source data and sends it to data-message transmission process layer for extraction, mark;
Data-message transmission process layer, for source data carrying out verification storage according to verification rule base to producing;
Discrete type data, services provides layer, for managing producing energy data analysis after the verification of data transmission of messages processing layer storage, and provides data-interface to user.
2. a kind of production energy data handling system based on verification rule base according to claim 1, is characterized in that: described data-message transmission process layer carries out verification to production energy source data and comprises the steps:
(1) enterprise setting according to user produce can source data experience value range carry out verification, when the production energy source data of verification is within this scope, think that this production energy source data is reasonably, no longer carries out verification; Otherwise, jump into step (2);
(2) carry out verification according to cascade and the operation relation produced between can source data, when the production energy data symbols of verification is should cascade connection thinks that these data are reasonably, no longer carry out verification; Otherwise, jump into step (3);
(3) carry out verification according to data fluctuations curve, verification rule base extracts verification storage and produces and can source data generate the corresponding data curve of cyclical fluctuations, or sets the generated data curve of cyclical fluctuations according to user; Then according to data fluctuations curve, the production energy source data that needs verification is carried out to verification, the production energy source data that exceeds certain threshold value with curve fluctuation deviation is withdrawn into rational position.
3. a kind of production energy data handling system based on verification rule base according to claim 1, is characterized in that: described data-message transmission process layer comprises that messaging bus, data bus, data pool, convergence are adjusted module, data check rule is safeguarded and the temporary module of data check module, verification rule base and data pool checking data, described messaging bus is set up message queue, described distributed data extract layer extracts enterprise and produces energy source data, and according to user's configuration, enterprise is produced and can source data be labeled as respectively data to be verified, data to be adjusted and accounting data to be verified, then be delivered to data pool according to message queue by data bus, the production energy source data that described convergence is adjusted in module extraction data bus or data pool is revised and is adjusted as basic data, described data check rule safeguards and data check module is carried out revised data contrast and the verification of verification rule by verification rule base, then the production energy security deposit data after verification is kept in module to data pool checking data.
4. a kind of production energy data handling system based on verification rule base according to claim 3, it is characterized in that: described convergence is adjusted module and comprised data correction module and data accounting module, described data correction module is carried out data correction using the production energy source data of data pool storage as basic data, revised basic data is stored in the temporary module of data pool checking data, for data check rule is safeguarded and data check module provides revised basic data simultaneously; Described data adjust module to deposit in data check rule in the temporary module of data pool checking data and safeguard and data check resume module after data, and be labeled as without the data of verification and carry out data accounting, and be that final data is deposited in the temporary module of data pool checking data by the data markers after adjusting; Described verification rule base extracts final data from the temporary module of data pool checking data and generates the corresponding data curve of cyclical fluctuations.
5. a kind of production energy data handling system based on verification rule base according to claim 4, is characterized in that: described data are adjusted module and comprised that hour level formula is adjusted, class's formula is adjusted, a day level formula is adjusted and a month level formula is adjusted four kinds of accounting modes.
6. a kind of production energy data handling system based on verification rule base according to claim 3, it is characterized in that: described data check rule is safeguarded and data check module comprises data check rule maintenance module and data check module, described data check rule maintenance module is used for safeguarding verification rule base, described data check module is carried out verification for revised basic data data correcting module being provided according to verification rule base, and flow to the data after verification as secure data data adjust module carry out data accounting, then the secure data after verification is stored in the temporary module of data pool checking data, the temporary module of described data pool checking data adopts memory database to carry out secure data and keeps in.
7. a kind of production energy data handling system based on verification rule base according to claim 6, is characterized in that: described discrete type data, services provides layer to comprise that data centralization analysis management module and discrete type data, services provide module; Described data centralization analysis management module is carried out analysis management to the final data in the temporary module of data pool checking data, and with visual pattern, user is shown; Described discrete type data, services provides module extract the final data in the temporary module of data pool checking data and provide data-interface and service to user.
8. a kind of production energy data handling system based on verification rule base according to claim 7, is characterized in that: described discrete type data, services provides module to provide modbusTCP data-interface, modbusRTU data-interface, relational database data-interface, OPC Server data-interface to user.
9. a kind of production energy data handling system based on verification rule base according to claim 7, is characterized in that: described data centralization analysis management module comprises across comparison analysis module, longitudinally comparative analysis module and trend analysis module, applied energy constitute analysis module, variance analysis module, energy efficiency of equipment analysis module, variance analysis module in conjunction with practical business; Described visual pattern comprises form, graphic form.
10. a kind of production energy data handling system based on verification rule base according to claim 1, is characterized in that: described distributed data extract layer comprises OPC data extraction module, ModbusTCP data extraction module, ModbusRTU data extraction module, Zijin bridge database data extraction module, Wonderware real-time data base data extraction module, oracle database data extraction module, SqlServer database data extraction module, MySql database data extraction module; Described OPC data extraction module provides OPC interface, by multithreading or multi-client extract real-time data; Described ModbusTCP data extraction module provides ModbusTCP interface; Described ModbusRTU data extraction module provides ModbusRTU interface; Described Zijin bridge database data extraction module provides Zijin bridge database interface; Described Wonderware real-time data base data extraction module provides Wonderware real time data bank interface; Described oracle database data extraction module provides oracle database interface; Described SqlServer database data extraction module provides SqlServer database interface; Described MySql database data extraction module provides MySql database interface.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN109255692A (en) * | 2018-08-16 | 2019-01-22 | 中国平安人寿保险股份有限公司 | Intelligent control method, terminal device and the medium of electronic accounting period |
| CN113325810A (en) * | 2021-04-22 | 2021-08-31 | 福州汉思信息技术有限公司 | Automatic data interaction method |
| CN113807637A (en) * | 2021-05-17 | 2021-12-17 | 卡斯柯信号有限公司 | Method, device, electronic equipment and medium for automatically checking current vehicle flow |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105335896A (en) * | 2014-08-13 | 2016-02-17 | 国家电网公司 | Multi-source heterogeneous data processing method and device used for power grid |
| CN109255692A (en) * | 2018-08-16 | 2019-01-22 | 中国平安人寿保险股份有限公司 | Intelligent control method, terminal device and the medium of electronic accounting period |
| CN109255692B (en) * | 2018-08-16 | 2023-06-27 | 中国平安人寿保险股份有限公司 | Intelligent control method, terminal equipment and medium for electronic accounting period |
| CN113325810A (en) * | 2021-04-22 | 2021-08-31 | 福州汉思信息技术有限公司 | Automatic data interaction method |
| CN113807637A (en) * | 2021-05-17 | 2021-12-17 | 卡斯柯信号有限公司 | Method, device, electronic equipment and medium for automatically checking current vehicle flow |
| CN113807637B (en) * | 2021-05-17 | 2024-02-20 | 卡斯柯信号有限公司 | Method, device, electronic equipment and medium for automatically checking current vehicle flow |
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Application publication date: 20140611 |