30 results about "Proximate analysis" patented technology

The invention discloses a method for in-situ identification and rapid quantification of coal rock microcomponents. Firstly, a variety of standard coals of different coal ranks are selected for industrial analysis, petrographic analysis and Raman spectrum surface scanning to obtain dry ash-free base volatile Content V daf , microscopic component type determination results and Raman characteristic parameters; select several Raman characteristic parameters for cluster analysis, draw a heat map according to the clustering results, compare the heat map with the petrographic analysis results, and determine the corresponding color of the heat map Microscopic component type; Raman characteristic parameters and V daf Establish the corresponding relationship, determine the threshold interval of the Raman characteristic parameters of different microscopic components of each coal rank, and establish the in-situ identification criteria of the microscopic components according to this interval; during detection, the coal to be tested is subjected to industrial analysis and Raman testing, The microscopic components can be identified by using the above criteria, and then the content of the corresponding microscopic components can be determined according to the proportion of each color point in the heat map. The invention has simple experiment and data processing methods, rapid and accurate detection.

The invention discloses a cement raw material batching closed-loop control method and system. The method includes: S1, obtaining the chemical composition of raw materials, coal ash chemical composition, industrial analysis of raw coal, and heat consumption of clinker in factories; S2, selection of clinker rate value ; S3, batching calculation; S4, obtain the neutron system error, and calculate the actual raw meal rate value control target value participating in the control; S5, obtain the time difference t of raw meal entering and leaving the homogenization warehouse; S6, change the raw coal pile, take the new pile coal to Acquisition of use time, output the adjustment time of raw material rate value before raw coal replacement; S7, adjustment of raw material grinding rate value adjustment; S8, emergency control of raw material batching; S9, abnormal situation handling; the system includes: clinker rate value, clinker heat Consumption optimization positioning raw material batching calculation unit, dynamic material warehouse, warehouse consumption balance management and budget unit, raw material batching calculation unit, online neutron batching control unit, fully automatic laboratory detection unit, abnormal situation processing unit.

The invention discloses a coal-fired matching method for cement calcination. The method comprises the following steps: S1, analyzing the chemical composition of ingredients in each batching area, and obtaining the chemical composition of limestone and auxiliary materials for batching; S2, the type of coal to be matched Carry out quality analysis to obtain industrial analysis data, calorific value and coal ash chemical analysis of each coal type to be matched; S3, determine the coal type that initially matches the batching area; S4, burn each initially matched coal type into coal Ash is mixed into the ingredients in the corresponding ingredient area to form a mixture; S5. Carry out a flammability test on the mixture, and select a coal with a good flammability grade as the coal used in the ingredients in the corresponding ingredient area; guide the production line to select the appropriate Coal types, optimize the indicators of the production line, guide the selection and use of different fuels, and provide theoretical and data support; in order to achieve the purpose of saving energy and reducing consumption, and improving product quality.

The invention relates to diagnosis and prevention system and method of a high temperature corrosion state of a boiler water cooled wall. The system comprises a plurality of temperature sensors, a coal fired quality sampling module, a coal fineness sampling module, a flue gas sampling module, a data layer module, a characteristic layer data processing module and a decision layer module, wherein the temperature sensors collect the temperature of the water cooled wall through a multi-channel A / D conversion collection module; the coal fired quality sampling module sends coal quality information into a coal quality analysis module, and the coal quality analysis module carries out proximate analysis; the coal fineness sampling module sends collected coal fineness information into a fineness analysis module; the flue gas sampling module sends collected flue gas information into a component analysis module; the data layer module carries out wave filtering treatment on the temperature information, the coal quality information, the fineness information and the flue gas information and rejects abnormal data; the characteristic layer data processing module extracts the characteristic quantityfrom the data after processing of the data layer module; and the decision layer module comprehensively analyzes and judges the data extracted by the characteristic layer data processing module by an expert system to obtain a reasonable and accurate result, and the result is output and participate into operation regulation.

The invention relates to an efficiency-improving method for W-type flame boiler grading combustion. The efficiency-improving method comprises steps of analyzing coaly element and proximate analysis to selected coal, presetting a boiler combustion strategy, simulating boiler fuel combustion according to the preset combustion strategy to acquire a boiler work condition, and conducting comparison analysis to boiler work conditions according to different combustion strategies to acquire an optimal boiler grading combustion coal proportion and a coal injection way of a coal grinding machine. Burning coal and anthracite proportion during the boiler grading combustion process can be well determined.