CN112465412A

CN112465412A - Power plant production information graphical method based on IMS system

Info

Publication number: CN112465412A
Application number: CN202110153539.0A
Authority: CN
Inventors: 高彦超; 忽述彧; 尚清保; 王宇; 杨超; 党明锐; 钨钢; 孟强
Original assignee: Guoneng Xinkong Internet Technology Co Ltd
Current assignee: Guoneng Xinkong Internet Technology Co Ltd
Priority date: 2021-02-04
Filing date: 2021-02-04
Publication date: 2021-03-09

Abstract

The IMS system based graphical method of the production information of the power plant is an application and graphical method of the overall production and operation data resources of the thermal power generation enterprises, is a professional and management department which provides real-time data and analysis data with different visual angles and types and matches the intelligent graph of the analysis data with different production, operation and management visual angles of the enterprises, unifies the data standard and ensures the globality of the data, improves the utilization efficiency of the data resources and the analysis and identification efficiency of professional management, plans and displays the connotation of the data overall from bottom to top and from top to bottom, facilitates the refined analysis and traceability of the production, operation and management of the enterprises, and the problem of influencing the production and operation of enterprises is discovered and improved in time, the operation and management cost of the enterprises is effectively reduced, the comprehensive competitive capacity of the production, technology and operation of the enterprises is improved, the sustainable development and management promotion of the enterprises are promoted, and meanwhile, the formation and high-efficiency application of data assets of the enterprises are promoted.

Description

Power plant production information graphical method based on IMS system

Technical Field

The invention relates to the field of data imaging, in particular to a power plant production information imaging method based on an IMS (IP multimedia subsystem).

Background

With the continuous improvement of the power system innovation and the promotion of the power market mechanism, thermal power enterprises feel the pressure brought by the market economy, and the level of power production economic management is gradually improved along with the pressure of the market economy on the power selling side. After electric power product trade enters the market, the competition of thermal power generation enterprises gradually expands, and the practical problems of improving production economy operation capacity, reducing people and increasing efficiency, reducing cost and risk, gradually improving energy utilization rate, improving comprehensive strength and the like are brought to the thermal power generation enterprises.

With the development of informatization, intellectualization and big data technology, the development of data value mining, application and the establishment of full-digital and intelligent power plants become new subjects. Therefore, on the basis of an IP Multimedia Subsystem (IMS), by combining professional business management requirements and the essence of daily production and operation management, the method and the method which are intuitively displayed and can be interactively analyzed meet the professional technical and economic management requirements, improve the daily analysis and monitoring efficiency of the technical and economic management of the power plant, facilitate the timely discovery of the production technical management problems, analyze and process in time, reduce the production and labor costs, and improve the professional technical and economic management service capacity, thereby improving the overall comprehensive competitive capacity and the economic benefit of the power plant. However, no technical solution for providing a graphical method by using an IMS system in combination with the service management requirement of the power plant and the operation requirement of the power plant has appeared in the prior art.

Therefore, a method for graphical production information of a power plant that can be combined with an IMS system is needed.

Disclosure of Invention

In order to solve the defects in the prior art, the invention aims to provide a power plant production information graphical method based on an IMS system, which can provide a universal and standardized production management monitoring picture for user management personnel according to the difference between actual operation and management for actual and management services of users.

The invention adopts the following technical scheme.

A power plant production information graphical method based on an IMS system comprises the following steps: step 1, obtaining multi-dimensional production information of each system in a power plant, and generating an IMS system graph set according to the production information and an operation management standard; step 2, inquiring and tracing corresponding basic data in the production information based on the graphical requirement, and performing statistical calculation and analysis on the inquired corresponding basic data to obtain multi-dimensional analysis data; and 3, constructing a graphical intelligent analysis result based on the analysis data.

Preferably, each system in the power plant comprises a boiler system, a steam turbine system, an electrical system, a dust and slag removing system, a desulfurization system, a unit public system, a chemical treatment system, a coal conveying system, an ash conveying system and a desulfurization public system.

Preferably, the corresponding basic data in the multi-dimensional production information comprises production system information, production technology management information, daily economic operation information, energy-saving management information and technical economic analysis information; correspondingly, the intelligent analysis result obtained based on the multi-dimensional analysis data comprises production system information imaging, production technology management information imaging, daily economic operation information imaging, energy-saving management information imaging and technical economic analysis information imaging.

Preferably, the production system information includes: equipment performance and efficiency information, medium change information, standardized parameters, daily economic indexes, daily assessment indexes, equipment fault overhaul work ticket information, technical supervision requirements and detection information.

Preferably, the production technology management information includes: equipment performance and efficiency information, equipment assessment index information, equipment debugging and experimental parameters, equipment chemical analysis data and equipment fault data; and obtaining a graphical analysis result based on the production technology management information comprises: assessment index analysis, optimization space analysis and equipment fault analysis.

Preferably, the daily economic operation information includes: economic operation regulation information and key operation parameters of the power plant.

Preferably, the energy saving management information includes: medium change information; wherein the medium change comprises parameter changes of electricity, coal, steam, water, air, flue gas, ash, slag, oil, hydrogen and urea medium.

Preferably, the technical economic analysis information includes: the method comprises the following steps of unit operation condition, index completion condition, economic operation state of equipment, energy consumption abnormal fluctuation, unit distribution load condition, fuel blending and cost condition.

Preferably, the graphical intelligent analysis results include a system diagram based on the systems in the power plant and a data diagram based on multi-dimensional analysis data in the multi-dimensional production information.

Compared with the prior art, the power plant production information graphical method based on the IMS system has the advantages that the method can be used for facing actual and management services of users, and providing a universal and standardized production management monitoring picture for user managers according to the difference between actual operation and management.

The method can also realize the mark pair in daily business, discover hidden dangers in time, process in time, improve economic benefit and improve the value of historical data through daily performance, characteristic, energy consumption and other analysis and field real-time data measurement, support monthly economic analysis of the user by accurate data, improve user indexes, save energy, optimize analysis and other data reusability, reduce professional manual workload and improve working efficiency.

Drawings

FIG. 1 is a schematic flow chart of a method for patterning production information of a power plant based on an IMS system according to the present invention;

FIG. 2 is a system architecture diagram of a power plant production information graphical method based on an IMS system according to the present invention.

Detailed Description

The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.

FIG. 1 is a flow chart of a method for patterning power plant production information based on an IMS system according to the present invention. As shown in fig. 1, a power plant production information graphical method based on an IMS system is characterized by comprising the following steps:

step 1, obtaining multi-dimensional production information of each system in the power plant, and generating an IMS system graph set according to the multi-dimensional production information and an operation management standard.

In an embodiment of the present disclosure, the production information is multidimensional, and the production information may originate from a plurality of different systems. The production system may include a boiler system, a steam turbine system, a unit utility system, an auxiliary control system, an electrical system, a desulfurization, a denitration, a dehumidification system, a dust and slag removal system, a coal conveying system, an ash conveying system, a desulfurization utility system, a fuel system, and the like.

Wherein different system diagrams can be generated according to different production systems and subsystems thereof. The boiler system comprises a boiler water system, an air and smoke system, a combustion system, a boiler soot blowing system, a compressed air system, a denitration system, a secondary reheating steam system, a primary reheating steam system and a main steam system; the turbine system includes: a main steam and bypass system diagram, a steam extraction system diagram, a main machine shaft seal system diagram, a condensate system diagram, a water supply system diagram, a vacuum system diagram, a circulating water pump system diagram, an EH system diagram, a TSI system diagram, an electric water supply pump system diagram, a steam-driven water supply pump system diagram, a steam inlet and shaft seal system of a small machine for a pump, a hydrogen system diagram, a low-temperature economizer system diagram, a small machine for an induced draft fan and a heat supply system diagram, and a small machine for an induced draft fan shaft seal system diagram; the electrical system includes: a main wiring, an excitation system, a primary system diagram, 6KV and a UPS system; dust removal, deslagging system includes: the wet electric dust removal system comprises an electric field and denitration preposed ash hopper ash conveying system diagram and two to five electric field A side fly ash conveying systems; the desulfurization system comprises: a desulfurization flue gas system, an absorption tower system and an oxidizing air system are combined; the unit public system comprises: an electrical primary system diagram, a plant heating system flow diagram, a compressed air system and a coal conveying system flow diagram; the chemical processing system comprises: a makeup water system diagram, a demineralized water system diagram, a makeup water mixed bed system diagram, a secondary reverse osmosis system diagram, a primary reverse osmosis system diagram, an ultrafiltration system diagram, a sulfuric acid storage and metering system diagram, a condensate polishing treatment and alkali storage and metering system diagram; the coal conveying system comprises: coal conveying general diagram. The ash conveying system comprises: a flow chart of a plant area pneumatic ash removal pipeline and valve switching system. The desulfurization utility system comprises: a desulfurization flue gas system diagram, a desulfurization absorption tower system diagram and a desulfurization oxidation air system diagram.

And 2, inquiring and tracing corresponding basic data in the multi-dimensional production information based on the graphical requirement, and performing statistical calculation and analysis on the inquired corresponding basic data to obtain multi-dimensional analysis data.

And 3, constructing a graphical intelligent analysis result based on the multi-dimensional analysis data.

Preferably, the corresponding basic data in the multi-dimensional production information includes production system information, production technology management information, daily economic operation information, energy saving management information and technical economic analysis information. FIG. 2 is a system architecture diagram of a power plant production information graphical method based on an IMS system according to the present invention. As shown in fig. 2, in particular, the method of the present invention includes a plurality of graphical methods of different information.

Preferably, the obtaining of the graphical intelligent analysis result based on the multidimensional analysis data comprises production system information imaging, production technology management information imaging, daily economic operation information imaging, energy-saving management information imaging and technical economic analysis information imaging.

Specifically, the device performance and efficiency information includes performance and efficiency information of devices that play a major role in the production system.

In one embodiment of the present disclosure, the devices that play a major role include coal mills, blowers, draught fans, plasma burners, and the like in the boiler combustion system, and the performance of these devices includes the output characteristics of the coal mills, the baffle characteristics of the separators, the characteristics of oil pressure and pulverized coal fineness, the characteristics of air volume, the efficiency of the coal mills, the power consumption of the coal mills, and the like.

According to the system diagram generated in step 1, information of device performance and efficiency can be set for each specific device in the system diagram. This information may be presented in the form of whole data or a contrasting graphic.

Specifically, the medium change information includes parameter changes of media such as electricity, coal, steam, water, air, flue gas, ash, slag, oil, hydrogen, urea, and the like. For example, electricity is electricity consumption, electricity quantity change; analyzing the change of heat, heat productivity, quality and coal powder fineness when the coal is coal; steam is the change of steam flow, pressure, temperature, heat and steam consumption rate; the air is changed by air flow, pressure, temperature and flow rate; the flue gas is flue gas temperature, pressure, flow, ash content and SO₂Content, oxygen amount, NO_XContent, CO content, heat change; ash is the variation of thickness degree, temperature, fly ash content and carbon content; slag is the change of temperature, quality, ash content and heat; the oil is the change of heat, oil chemical analysis amount, pressure and flow; hydrogen is temperature, pressure, air hydrogen content and flow change; the urea is the change of the quality and the solution concentration.

The standardized parameters are usually real-time data of main parameters with uniqueness processed by the system. For example, 3 measuring points are respectively arranged on a main steam pipeline A and a main steam pipeline B of the main steam temperature in field measurement, and the 3 real-time main steam temperature measurement data of the pipeline A are subjected to average calculation to form unique real-time data with standard codes, namely the main steam temperature of the unit A. The main steam temperature is one of the standardized parameters.

The daily economic index and the daily assessment index are indexes for reflecting the economy of the unit according to the economic index management requirement. The economic index counted according to the statistical time of a day is a daily economic index, and the index which is necessary to be completed every day and is issued by a power plant according to a annual plan or a monthly production plan is a daily assessment index.

In an embodiment of the present disclosure, the daily economic indicators include boiler efficiency, steam turbine efficiency, unit efficiency, standard coal consumption, raw coal consumption, and the like. The daily assessment indexes comprise main steam temperature, main pressure, daily generated energy, oxygen amount, smoke exhaust temperature, heat supply amount, coal consumption and the like.

The technical supervision requirement and the detection information refer to the comparison condition of the technical supervision requirement and the actual measurement data in the system diagram and the technical supervision requirement standard. In this embodiment, the technical supervision includes electrical insulation supervision, power quality supervision, excitation supervision, relay protection supervision, electrical measurement technical supervision and chemical supervision, metal and pressure vessel supervision, environmental protection technical supervision, energy-saving technical supervision, thermal technical supervision, turbine and rotating equipment technical supervision, and the like. The comparison mainly comprises the detection information of the detection time, the pressure and the metal of the main pressure container in the main steam system, and the comparison of the real-time data of the steam chemical analysis instrument and the technical supervision standard; SiO in main steam for on-site silicon surface measurement₂SiO with content value and technical supervision requirement₂Comparison of standard content values, etc.

Preferably, the production technology management information includes: equipment performance and efficiency information, equipment assessment index information, equipment debugging and experimental parameters, equipment chemical analysis data and equipment fault data.

Preferably, obtaining the graphical analysis results based on the production technology management information comprises: assessment index analysis, optimization space analysis and equipment fault analysis.

The assessment index analysis comprises the steps of supervising the performance and efficiency information of the equipment according to professional division and professional daily supervision, carrying out statistical analysis on the change degree of the assessment index information of the equipment, and comparing the change of the performance and efficiency of the equipment with the energy consumption of the equipment so as to obtain the degradation degree of the equipment and the influence of the degradation degree of the equipment on the assessment index.

Wherein, the influence of the deterioration degree on the indexes mainly comprises that the circulating water temperature influences the coal consumption value, the load influences the coal consumption value, the heat supply and steam extraction influences the coal consumption value, the air leakage rate of an air preheater influences the coal consumption value, the boiler efficiency influences the coal consumption value, the coal mill unit consumption influences the coal consumption value, the coal feeder unit consumption influences the coal consumption value, the water feed pump set efficiency influences the coal consumption value, the circulating pump consumption rate influences the coal consumption value, the cylinder efficiency influences the coal consumption value, the difference of the upper end and the lower end of each heater influences the coal consumption value, the main steam temperature influences the coal consumption value, the main pressure influences the coal consumption value, the flue gas oxygen quantity influences the coal consumption value, the smoke exhaust temperature influences the coal consumption value, the plant rate influences the coal consumption value, the superheated steam desuperheating water quantity influences the coal consumption value, the reheat steam temperature influences the coal consumption value, the reheat steam pressure influences the coal consumption value, the steam condenser pressure influences the coal consumption value, the fired coal heating value influences the coal consumption, The oxygen quantity influences the coal consumption value, the exhaust gas temperature influences the coal consumption value, the plant power consumption rate influences the coal consumption value, the superheated steam temperature reduction water quantity influences the coal consumption value, the actual efficiency of the boiler and the like. The generated graphical analysis results may be presented in the form of a pop-up screen.

The optimization space analysis comprises the steps of obtaining equipment debugging and testing parameters according to equipment performance tests and characteristic tests, predicting the equipment performance condition of the equipment in normal operation by referring to a tested characteristic curve of the equipment, and determining the optimization space of the equipment according to the predicted equipment performance condition.

In one embodiment of the present disclosure, the equipment performance test and the characteristic test mainly include a flue air leakage test, a boiler combustion adjustment test, a large-rotating-machine efficiency performance test, a steam-water system tightness test, a thermal efficiency test, a cylinder efficiency test, a water supply temperature, an end difference, cooling water inlet and outlet, a condenser vacuum test, a boiler air leakage rate test, an air preheater air leakage rate test, a pump efficiency test, and the like. The obtained optimization space analysis result can be graphed in the form of a pop-up text box and a page to display related experimental data or characteristic curves and a change trend graph of real-time data of measurement points taken by the experiment.

The equipment fault analysis comprises the steps of counting the change condition of chemical analysis data of the equipment, counting the frequency of equipment faults and corresponding fault reasons, and analyzing the key points of the power grid where the equipment with large change of the chemical analysis data and the equipment with large fault frequency are located according to the condition of the data. Therefore, maintenance and prediction before equipment failure are obtained according to historical data. Therefore, the analysis can practically exert the value of historical data in the production process of the power plant and implement supervision and quality management work in the production process of the power plant.

In one embodiment of the present disclosure, the chemical analysis data may be displayed in a system diagram for observing the degree of change in chemical content in the medium. According to the selection of different medium dimensions, the graphical change trend can also be displayed according to different media.

In an embodiment of the present disclosure, the device failure analysis may further check the device failure statistics and failure handling reason analysis text data related to the work ticket.

For example, the power consumption of the 1# induced draft fan acquired in units of days is suddenly reduced, and the 1# induced draft fan is subjected to troubleshooting treatment as can be seen from equipment fault checking and analyzing data. Therefore, the power consumption index statistics of the 1# induced draft fan is normal, and the non-energy consumption fluctuates abnormally.

The step of obtaining the graphical analysis result based on the daily economic operation information specifically comprises the step of obtaining the requirement of the economic operation regulation of the power plant by taking the overall economy as an index, wherein the requirement is the information of the economic operation regulation of the power plant. According to the index level of economic operation, monitoring of key operation parameters is carried out hierarchically from the unique measuring point real-time data, and the performance change of the system, such as the system consumption difference change, is obtained according to monitoring. By means of graphical analysis of daily economic operation information, energy consumption conditions of the power plant can be effectively determined and optimization measures can be specified.

In one embodiment of the invention, the real-time data change condition of the related measuring points can be monitored according to the output heat energy of the boiler in the boiler system. Under the condition that the output heat energy of the boiler does not change much, the change condition of the side consumption difference of the steam turbine can be observed, and the uncontrollable basic consumption difference value is corrected by combining the change of the temperature of the condensate water, so that the key point of the energy consumption of the steam turbine equipment is accurately obtained.

In one embodiment of the invention, the key operation parameters comprise active power, reactive power, power generation and supply amount, furnace evaporation amount, ambient temperature, total ash amount, soot blowing steam flow rate, hearth temperature and pressure, boiler water replenishing flow rate, inlet and outlet flue temperature of an air preheater, flue gas flow rate, exhaust gas temperature, coal ash content, coal moisture content, coal volatile content, fly ash content, slag ash content, condenser pressure, atmospheric pressure, vacuum, small machine steam inlet flow rate, heat supply steam extraction amount, steam extraction amount, draught fan steam inlet pressure and temperature, coal inlet amount, coal outlet primary air amount of a coal mill, coal mill inlet and outlet pressure, sealing air amount, electrical removal inlet and outlet dust concentration, air feeder, primary air blower air supply flow rate, primary air blower inlet and outlet air supply pressure, temperature, fly ash carbon content, coal fineness, superheater outlet steam pressure and temperature, reheater outlet steam pressure, temperature, flue gas oxygen content, flue gas temperature, moisture of coal as fired, main condensate flow, pressure, condensate pump outlet temperature, main feed water flow, pressure, temperature, feed water pump turbine steam admission flow, high and low superheater, primary and secondary reheater desuperheating water flow, pressure, temperature, main steam, reheat steam pressure, temperature (before main valve), high pressure cylinder, intermediate pressure cylinder and low pressure cylinder steam admission pressure, temperature (steam admission conduit), high pressure cylinder, main turbine, feed water pump turbine exhaust pressure, temperature, high and low heater steam admission pressure, temperature (steam admission port), inlet and outlet water temperature, (heater water side) drain temperature (before drain pipe regulating valve), deaerator steam admission pressure, temperature, steam supply pressure, temperature, condenser vacuum, circulating water inlet temperature, shaft seal outlet temperature, key parameters such as heat supply amount, heat supply steam pressure, temperature, return water temperature of a heat supply network and the like, as well as load coefficients, average load, maximum load, power generation and power supply coal consumption, power plant power consumption rate, daily coal charge amount, power generation and water supplement rate, boiler efficiency, boiler average evaporation amount, operation hours, daily utilization hours of a unit, load reduction equivalent shutdown hours, unit equivalent availability coefficient, peak-valley coefficient, pollution discharge rate, air preheater air leakage rate, flue air leakage coefficient, coal mill and powder preparation system power consumption rate and unit consumption, power consumption rate and unit consumption of a sending fan and a primary fan, power consumption rate of an electric dust remover, desulfurization power consumption rate, coal conveying system power consumption rate, auxiliary engine power consumption rate, air compressor power consumption rate, low-level heat and moisture of coal charged into the boiler, steam turbine heat consumption rate, steam turbine steam consumption rate, vacuum degree, condenser end difference, condensate water supercooling degree, high-pressure heater input rate and low-pressure heater input rate, the system comprises a circulating water pump, a condenser rubber ball cleaning input (operation) rate, a rubber ball recovery rate, a heat supply backwater amount, a heat quantity difference between coal entering a factory and coal entering a furnace, a pollution discharge rate, a vacuum degree, a steam-water loss rate, a unit generated energy water consumption rate, a chemical self-water utilization rate, pipeline efficiency, ultrahigh pressure cylinder, high pressure cylinder, intermediate pressure cylinder and low pressure cylinder efficiency, a condenser circulation multiplying power, a unit equivalent forced outage rate and the like.

In one embodiment of the invention, the relevant information of the key operation parameters can be displayed in a graph mode of the relevant tree, and based on different key operation parameters, a trend graph and an alarm value which are relevant to the key operation parameters can be obtained.

Preferably, the obtaining of the graphical analysis result based on the energy-saving management information specifically includes selecting an item with the largest energy consumption comparison change according to measurement supervision on media such as fuel, water, electricity, steam and the like, querying real-time data and a single index with the largest related media change, and analyzing abnormal fluctuation of energy consumption by combining with the measurement supervision result.

The imaging of the energy-saving management information can effectively predict the potential safety hazards of equipment and a system and clearly manage the potential safety hazards.

In an embodiment of the present disclosure, a daily energy consumption transaction analysis report may be obtained according to the heat supply data. For example, when the consumption of the heating target coal is increased sharply, according to the monitoring of the heating heat related data, the heating flow can be found to be increased rapidly, but the daily heating amount is not changed according to the plan, the steam extraction amount of the unit is increased, the steam extraction pressure is maintained to be stable, and the increase of the unit target coal consumption is basically the same as the consumption of the heating target coal. At the moment, according to the measurement supervision requirement, the fact that the time of the heat supply regulating valve reaching the measurement supervision test is short or the number of failures is large is found, and the change of the characteristics of the heat supply regulating valve or the increase of the leakage flow of the regulating valve can be predicted. By analyzing the data, a daily energy consumption transaction analysis report can be formed.

In an embodiment of the disclosure, the daily energy consumption transaction analysis report may be obtained by comparing the measured value related to energy consumption with a standard value and then automatically sorting the measured value and the standard value. In the daily energy consumption transaction related parameters, if the trend line rising rate is high, the trend line rising rate can be displayed graphically or inquired.

The daily energy consumption difference analysis can comprise calculation analysis of cost micro-increment rate, boiler efficiency, steam turbine efficiency, pipeline efficiency, boiler coal consumption characteristic, steam turbine heat consumption characteristic, shaft power measurement, optimal coal mixing cost, equivalent forced outage rate, unplanned outage rate, hours of unplanned outage of one type, two types, three types, high input rate, load rate, output coefficient, coal mill pressure bearing characteristic, coal powder fineness, ash amount, steam quality, ash blowing rate, ball receiving rate, equivalent availability coefficient of the whole plant, consumption difference and heat loss condition.

Preferably, the obtaining of the graphical analysis result based on the technical economic analysis information specifically includes: various indexes needing technical and economic analysis in the power plant are analyzed according to the requirements of the economic analysis meeting of the power plant, statistical results are calculated by using a statistical calculation tool, and finally the statistical results are reflected in a graphical mode.

Specifically, the technical-economic analysis meeting may be a monthly economic analysis meeting where power plants are regularly organized by monthly meetings. In a meeting, the general meeting report is usually carried out on the running condition of a unit, the completion condition and the cyclic ratio condition of monthly indexes, the economic running state of equipment, abnormal fluctuation of energy consumption, the load distribution condition of the unit, the blending and cost condition of fuel, energy-saving analysis and measures and the like. And according to the overall report, a power plant decision layer can clearly and accurately grasp economic production conditions, and data support is provided for making correct decisions for power plant operation.

In an embodiment of the present disclosure, comprehensive statistics may be performed according to the relevant data and daily analysis text required to be queried by the economic analysis meeting, so as to comprehensively form a monthly economic analysis meeting report.

Compared with the prior art, the power plant production information graphical method based on the IMS system can be used for facing to actual and management services of users, and provides a universal and standardized production management monitoring picture for user management personnel according to the difference between actual operation and management.

The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.

Claims

1. A power plant production information graphical method based on an IMS system is characterized by comprising the following steps:

step 1, obtaining multi-dimensional production information of each system in a power plant, and generating an IMS system graph set according to the multi-dimensional production information and an operation management standard;

step 2, inquiring and tracing corresponding basic data in the multi-dimensional production information based on graphical requirements, and performing statistical calculation and analysis on the inquired corresponding basic data to obtain multi-dimensional analysis data;

2. The method for patterning power plant production information based on the IMS system according to claim 1, wherein:

each system in the power plant comprises a boiler system, a steam turbine system, an electrical system, a dust and slag removing system, a desulfurization system, a unit public system, a chemical treatment system, a coal conveying system, an ash conveying system and a desulfurization public system.

3. The method for patterning power plant production information based on the IMS system according to claim 1, wherein:

corresponding basic data in the multi-dimensional production information comprise production system information, production technology management information, daily economic operation information, energy-saving management information and technical economic analysis information; accordingly, the number of the first and second electrodes,

the intelligent analysis result obtained based on the multi-dimensional analysis data comprises production system information imaging, production technology management information imaging, daily economic operation information imaging, energy-saving management information imaging and technical economic analysis information imaging.

4. The power plant production information graphical method based on the IMS system according to claim 3, wherein:

the production system information includes: equipment performance and efficiency information, medium change information, standardized parameters, daily economic indexes, daily assessment indexes, equipment fault overhaul work ticket information, technical supervision requirements and detection information.

5. The power plant production information graphical method based on the IMS system according to claim 3, wherein:

the production technology management information includes: equipment performance and efficiency information, equipment assessment index information, equipment debugging and experimental parameters, equipment chemical analysis data and equipment fault data.

6. The power plant production information graphical method based on the IMS system according to claim 5, wherein:

obtaining a graphical analysis result based on the production technology management information includes: assessment index analysis, optimization space analysis and equipment fault analysis.

7. The power plant production information graphical method based on the IMS system according to claim 3, wherein:

the daily economic operation information comprises: economic operation regulation information and key operation parameters of the power plant.

8. The power plant production information graphical method based on the IMS system according to claim 3, wherein:

the energy-saving management information includes: medium change information;

wherein the medium change comprises parameter change of electricity, coal, steam, water, air, flue gas, ash, slag, oil, hydrogen and urea medium.

9. The power plant production information graphical method based on the IMS system according to claim 3, wherein:

the technical economic analysis information comprises: the method comprises the following steps of unit operation condition, index completion condition, economic operation state of equipment, energy consumption abnormal fluctuation, unit distribution load condition, fuel blending and cost condition.

10. The method for patterning power plant production information based on the IMS system according to claim 1, wherein:

the graphical intelligent analysis result comprises a system diagram based on each system in the power plant and a data diagram based on multi-dimensional analysis data in the multi-dimensional production information.