RSS
Логотип
Баннер в шапке 1
Баннер в шапке 2

Smart-MES MES-T2 2020

Product
Developers: InformSystem
Last Release Date: 2015/12/15
Technology: MES - Management of productions and repairs

Smart-MES MES-T2 2020 - the self-organizing Smart-MES system for calculations actual and normative TEI of power plant in real time.

Smart-MES is the production management system connecting together all business processes of the Generation company with production processes of power plants quickly providing objective and detailed information to company management[1]

All technology tasks are designed in text Projects, and the Smart-MES system samonastraivatsya automatically and will be self-organized at compilation of these Projects, including high-speed DLL programs.

The quantity of tasks is not limited. The quantity of jobs is not limited. Time of action of the license is not limited.

Developers use innovations regarding the correct calculations of TEI for minimization of fuel consumption:

  • Half-hour and constant calculation of an excessive consumption of fuel (actual and normative TEI) with its operational monitoring on BShchU for optimum control;
  • Receiving all TEI on different intervals integral calculus (accumulation) from half-hour values as calculations on larger intervals (day, month) in a root are not right because of curvilinearity of normative diagrams which besides are distorted by polynoms;
  • Use for resource optimization on complete model of power plant of the Dynamic optimizer and HOP of the optimizer;
  • Implementation for operational management of power plant and for forecasting of purchases of fuel of the intelligent mechanism with the knowledge base of optimal half-hour technology cuts (E, Q, B, Ri is the electric power, heat power, fuel, the equipment modes).

Functioning of the Smart-MES system is possible in 2 modifications: the client-server with 3-unit structure without SQL a DB and the client-server with 3-unit structure with SQL of a DB.

The 3-unit structure means that in both cases there is an application server of the general calculations TEI which is executed on the DLL program generated automatically. The client-server with SQL of a DB works with any SQL (Firebird, the MS SQL Server, Oracle, Interbase, MySQL, PostgreSQL, etc.). The structure the client-server with SQL of a DB is automatically configured on settings of the Designer of automated workplaces.


Characteristics of SMART-MES

The main innovations in the Smart-MES system: adaptability and speed. Easy adaptation of Smart-MES to any power plant is reached by the fact that all technology tasks are made out in the form of text Projects on very simple META language, and all making systems (the Data Base, Screen Forms, Reports, Settlement DLL Programs) are automatically generated at compilation of these Projects. The highest speed of accomplishment of the general calculations, i.e. at once all tasks on actual and normative TEI, is provided with one DLL program which is automatically generated with code optimization. In other words, it is simply impossible to execute calculation quicker.

It means for the User that he easily also can quickly make changes to algorithms of tasks. Besides, these characteristics allow to provide annual profit from each power plant in the amount of 300 million rubles.

The Smart-MES system enters absolutely new high-quality innovation repartition to the settled backward technology of heat-and-power production: The automated commercial accounting of an excessive consumption of fuel.


Purpose of creation of a system

Automated management of electricity generation and heat power of power plant in real time at fuel cost minimization and also warning of emergency situations.


What technology problems solves

  • Automatic data entry from the existing information collection facilities
    • On each of 300 power plants there are different funds of data collection from pressure sensors and temperature and from electric power counters: The ASCAPC, ASKUT, ASKUG (electric power fiscal metering systems, it is warm, gas), of the PCS, a bee, the delta and other. All of them have different developers, different ideology and the databases. Sampling intervals of sensors of several seconds. Therefore from all these different databases it is necessary to collect necessary information in uniform base with recovery of missing signals in necessary intervals of time – minute or half an hour.

  • Manual entry of daily and monthly data
    • Monthly data entry is used for an institution of planned targets for monthly tasks. Daily input is used for missing initial parameters of automatic input and for conditional and permanent indicators. In this case daily values are transformed to half-hour and minute databases. And if necessary for bigger reliability they can be processed by regression dependences together with parameters by which there are sensors.

  • Calculation TEI (Technical and Economic Indicators) of the equipment and power plant in general
    • All technology tasks are made out in the form of text projects on simple engineering meta language of the technologist using instrumental means "The designer of projects" where algorithms form using templates. The project includes two main task descriptions in a tabular style: the description of columns with station numbers of the same equipment (a boiler, the turbine) and the description of lines with initial and settlement indicators of this equipment in the following type: designation, unit of measure, name, calculation algorithm.

    • After compilation of projects are automatically created: databases, screen forms, reports and settlement DLL programs.

    • as a result complete calculation of TEI (calculation: the actual and normative TEI, a holiday of heat, costs for own needs and losses of the electric power and heat) on medium-scale power station includes 20000 initial, intermediate and resulting indicators and 300 power characteristics of the equipment and normative diagrams. This calculation of TEI of Smart-MES executes less than 1 second.

  • Monitoring of the current Excessive consumption of fuel and other indicators on BCP (block control panel)
    • Costs of fuel make more than 50% in cost value of the electric power and heat therefore minimization of these costs is the basic target function of production management of power plant. Here it is necessary to notice that only liquidation of the Excessive consumption of fuel uncontrollable now can save it more than for 10% that on average corresponds to an annual gain of profit of 300 million rubles from each power plant.
    • the Excessive consumption of fuel corresponds to the difference of the actual expense and normative which turns out as a result of complete calculation of TEI. Permanent monitoring of the current excessive consumption of fuel on BShchU creates forced motivation for operational personnel on fuel economy. In the absence of this monitoring any highly skilled personnel surely allow an excessive consumption of fuel on each technology cut since he just knows nothing about it. As a result the Excessive consumption of fuel in a month is summed up from all Overexpenditures in each cut.
    • Ignoring of this fact leads to elementary concealment of a reserve of increase in energy efficiency of power plants. The matter is that the monthly settlements of the Excessive consumption of fuel existing now are methodologically incorrect because of curvilinearity of normative diagrams.

  • Development of recommendations about optimal loading of the capital equipment
    • Optimization of loading of the equipment of power plant gives economy of fuel in 3-5%. There are several approaches of optimization: a simplex method of the solution of a linear equation system, a method of dynamic optimization on complete model of power plant with minimax strategy, the CRG (Characteristic of Relative Gains) of Optimization method. It should be noted that the solution of a linear equation system is implemented as a normal technology task on the text project.

  • Calculation of necessary forecast fuel quantity
    • For calculation of forecast fuel quantity specific costs of fuel for heat-and-power production are used. But there is more exact method of calculation which uses information on technology cuts in the knowledge base at a zero Excessive consumption of fuel. For this purpose it is enough to set the planned delivery schedule of the electric power and heat and also data on the working equipment.

  • The analysis and identification of incorrect operations of discrete signals at emergency situations
    • In this case with the minimum interval of the automated data entry the current status of discrete parameters is compared to previous. At identification of change its correctness is analyzed. In case of incorrectness the report on BShchU is given. Here also analog parameters can be in addition involved.
    • Algorithms of correctness are described also in text projects to similarly technology tasks.

  • Representation of a retro and current analytics of initial and settlement indicators
    • For analytics the set of tools is provided: the overview of indicators with setup for other analytical tools, the operational magazine, operational monitoring, the express analysis with a possibility of creation of hierarchy diagrams without graphics editor.
    • By an analytics call from a screen form the magazine on the set indicator for all units of the specific equipment automatically forms and the diagram is output. Here the analytics can be browsed by half an hour per day, by day in a month, by months in a year and also by watches in a month.

  • Transfer of necessary data on the top level
    • On the Internet any information can be transferred, including also operational data on the Overexpenditure to fuel and the key current indicators of power plant.

  • Formation of monthly reporting documents
    • Reporting documents form as monthly tasks in the form of the text project. Monthly data turn out accumulation of daily data, and daily and replaceable accumulation half-hour. Monthly data on watches form from data on changes on the basis of the diagram of watches.

  • Creation of electric and thermal art works with an output of dynamic information
    • the Graphics vector editor allows to create hierarchy technology diagrams with representation of power primitives, drawings and texts. It is possible to bring the current analog and discrete information to these schemes.

  • Current making changes in algorithms of technology tasks
    • All vitality of a system is provided with ease of entering of any changes by technologists into structure of calculations and in algorithms of tasks. All changes are made by means of correction of text projects with the subsequent their compilation without loss of technology information in databases.


Approach to creation of the SMART-MES system

The idea put in a system basis is its complete self-configurability and self-organization therefore it can be easily used for any power plant: Combined heat and power plant, state district power plant, hydroelectric power station, the NPP, the CCGT, and in general for all continuous productions.

The Smart-MES system is directed to continuous adaptation to again arising requirements of technology. Namely, permanent adaptive change of calculations of TEI and conversion of model of power plant "is performed as is" in new "as should be". Therefore one of basic provisions of the offered approach is the full integration instrumental and the applied systems in a whole.

The methodology of creation of Smart-MES is focused on easy implementation of any algorithms in any quantity without programmers. It contains complete set of modern opportunities. It both text projects of technology tasks, and self-adjustment of all system, and self-organization according to the current context, and analytics, and graphics, and optimization. And all this is possible in any system configuration the Client-server.

The Smart-MES system is initially not focused on the solution of any specific objectives, but in it all premises for future specific implementation are put in the form of the EXE module. The EXE module purchases capability to solve specific objectives, studying for several seconds. The EXE module includes customizers and means of functioning based on this setup.

A system conditionally consists of BASIS and the Superstructure. The basis is an executive EXE module which has no technology stuffing. The superstructure is text projects of technology tasks. The basis is always invariable since it is a prerogative of the developer. The superstructure is subject to permanent changes and is a prerogative of technologists for development of production tasks. Text projects of technology tasks define the field of their use and provide real functioning of the EXE module.

2017: Inclusion in the Register of domestic software

In August, 2017 the artificial intelligence (AI) of Smart-MES of development InformSystem is included in the Register of domestic programs by order of the Ministry of Telecom and Mass Communications of the Russian Federation of 8/15/2017 No. 421, register No. 3797.

According to system developers, Smart-MES has AI:

  • user features: easy adaptivity and high information processing rate;
  • system factors: self-adjustment, self-diagnostics and selfrecovery;
  • creative opportunities: self-development, self-improvement and consciousness.

5 determinants of AI of Smart-MES

  • Self-training of AI is performed using books. AI independently absorbs the algorithmic knowledge stated in books.
  • Self-organization of AI is executed at self-training when one program with the unique code by a bifurcation method is created from a set of knowledge.
  • Thinking of AI represents continuous process of the consecutive solution of a set of tasks with interruption from requests.
  • Creativity of AI is made by means of an intuition, i.e. finding of other way of implementation of not solvable tasks or tasks with an incomplete algorithm.
  • The intuition of AI is attracted in the absence of an exact algorithm. In this case different methods from analogy to statistics are used.

Notes