Coal proportion analysis system and analysis method

Abstract

The invention is suitable for the technical field of coal, and provides a coal proportion analysis system and analysis method, after coal proportion analysis, the production cost is reduced, and by optimizing a coal blending structure and reducing the use proportion of high-quality coking coal, the coal blending cost can be remarkably reduced, the coal blending efficiency is improved, and the coal blending efficiency and accuracy are improved. The coal blending system improves the working efficiency, reduces the environmental pollution, optimizes the coal blending process, reduces the cost, improves the market competitiveness of coal products, systematically collects and analyzes the characteristic data of each single coal, provides accurate data support for the reasonable utilization and scientific research of the coal, and improves the economic benefit through comprehensive utilization and process optimization. The method can significantly improve the utilization efficiency and environmental protection performance of coal, and can effectively analyze and control the chlorine ion content in a coal firing water system, thereby ensuring the stable operation of a desulfurization system and meeting the environmental protection requirements.

Description

Technical Field

[0001] The invention belongs to the technical field of coal, and in particular relates to a coal proportion analysis system and an analysis method. Background Art

[0002] In the current raw coal market, the price of coal in Xinjiang is relatively low and the supply is sufficient, but its coal quality characteristics such as high alkali metal content in the ash and high chloride ion content in the coal make it unable to meet the water-cooled wall slag requirements of aerospace gasification furnaces, and will cause scaling of the device pipelines, corrosion of stainless steel pipelines and other problems, resulting in this type of coal cannot be used in large quantities in production. Summary of the invention

[0003] The present invention provides a coal proportion analysis system and analysis method, aiming to solve the problem that in the current raw coal market, the price of coal in Xinjiang is relatively low and the supply is sufficient, but the coal quality characteristics such as high alkali metal content in the ash and high chloride ion content in the coal make it unable to meet the water-cooled wall hanging slag requirements of aerospace gasification furnace operation, and will cause scaling of device pipelines, corrosion of stainless steel pipelines and other problems, resulting in the problem that such coal cannot be used in large quantities in production.

[0004] The present invention is implemented as follows: a coal proportion analysis system and analysis method, comprising the following steps:

[0005] Step 1: Determination of target characteristics: First, it is necessary to determine the target characteristics of the mixed coal, conduct index analysis on the Tianchi Energy mixed coal and coal gangue to be used, and provide raw coal industrial analysis, ash component analysis and ash viscosity analysis data, including key indicators such as calorific value, volatile matter, sulfur content, ash content, etc.

[0006] Step 2: Data collection: Collect characteristic data of each type of coal;

[0007] Step 3: Calculate the mixing ratio: According to the target characteristics and the data of the single coal, accurately measure the weight of the coal and calculate the mixing ratio;

[0008] Step 4: Ratio calculation: The ratio calculation includes weight ratio method and energy ratio method;

[0009] Step 5: Verify the mixed ratio: After calculating the ratio, it is necessary to verify through experiments whether the mixed coal meets all the target characteristics. If it does not meet the requirements, it is necessary to adjust the ratio and recalculate;

[0010] Step 6: Take samples for testing, conduct trial burning, adjust parameters based on the results, and finally determine the coal ratio.

[0011] Preferably, the step one also includes raw coal blending, and the raw coal blending includes coal yard blending, coal bunker mixing, material mixing, loading and transportation mixing, and unloading mixing.

[0012] Preferably, the determination of the target characteristics in the step one also includes sampling and testing the proportioned pulverized coal samples, trial burning, and selecting Maliantai coal gangue with low ignition loss (high ash content) and total Si+Al content of more than 80% in the ash composition characteristics as an additive for the coal entering the furnace for burning, and adjusting the ash composition and viscosity-temperature characteristics of the coal entering the furnace.

[0013] Preferably, the method of collecting characteristic data of each single type of coal in step 2 includes sampling the coal, analyzing the moisture, ash, volatile matter, sulfur content, and calorific value of the collected different coals, organizing the analyzed data, establishing a database, and analyzing and statistics the data in the database to obtain the distribution and correlation information of the characteristic parameters of the coal.

[0014] Preferably, the calculation of the mixing ratio in step 3 and step 4 specifically includes determining the target characteristics, clarifying the expected characteristics of the mixed coal, such as calorific value, volatile matter, sulfur content, ash content, collecting data of a single type of coal, and calculating the mixing ratio, wherein the calculation of the mixing ratio, wherein the weight ratio method is specifically performed in the following manner: proportioning according to the weight ratio of the coal;

[0015] The weights of the two types of coal are m1m1 and m2m2 respectively, and the required ratio is n:mn:m, then n+m=1n+m=1; according to this ratio, we can get n=m1m1+m2n=m1+m2m1, m=m2m1+m2m=m1+m2m2;

[0016] The specific method of the energy ratio method is: proportioning according to the calorific value ratio of coal;

[0017] The calorific values ​​of the two types of coal are Q1Q1 and Q2Q2 respectively, and the required ratio is n:mn:m, then n+m=1n+m=1;

[0018] According to this proportional relationship, we can obtain n=Q1Q1+Q2n=Q1+Q2Q1, m=Q2Q1+Q2m=Q1+Q2Q2.

[0019] Preferably, the method of verifying the mixed ratio in step 5 is: selecting a sample, measuring the ash content, volatile matter, fixed carbon, and sulfur content of the sample, and calculating the proportion of the single coal using a ratio calculation formula according to the various indicators of the mixed coal and the various indicators of the single coal;

[0020] Single coal ratio = (single coal index value - index value of other components in mixed coal + mixed coal index value - index value of other components in mixed coal) × 100%

[0021] Among them, the mixed coal index value is a certain index value of the mixed coal, such as ash content; the single coal index value is the corresponding index value of the single coal, such as the ash content of the single coal; the index value of other components in the mixed coal is the sum of the index values ​​of other components except the single coal, such as ash content plus volatile matter plus fixed carbon;

[0022] Compare and analyze the experimental data with the expected target characteristics to verify whether the mixed ratio meets the design requirements.

[0023] Preferably, in step six, the process parameters are adjusted by sampling and test burning, which specifically includes: obtaining the combustion characteristic data during the test burning process, and performing a detailed analysis of the data obtained from the test burning to determine the impact of different process parameters on the combustion efficiency; adjusting the process parameters according to the test burning results and data analysis; chloride ion analysis in the coal burning water system; optimizing the ratio of the mixed coal according to the test burning results; continuous monitoring and adjustment; and safety risk analysis.

[0024] Preferably, the process parameters adjusted according to the test burning results and data analysis include coal mill operation mode, air volume control, oxygen volume control, and ammonia injection amount adjustment.

[0025] Preferably, the chloride ion analysis method in the coal burning water system includes chloride ion source analysis and chloride ion content monitoring.

[0026] A coal blending analysis system includes a server, a PLC controller, an online detection device, a sampling device, a belt scale, a cloud platform, a data acquisition module, a data storage module, a data analysis module, and a safety monitoring module. The server is responsible for running a coal blending algorithm model, processing data collected from various devices, and performing calculations and optimization analyses; the PLC controller is used to receive instructions from the server, control on-site coal feeders, belt scales and other equipment, and achieve precise coal blending operations; the online detection equipment includes an ash meter, a moisture meter, etc., which are used to monitor coal quality indicators in real time; the sampling device is used to collect coal samples for more detailed laboratory analysis; the belt scale is used to accurately measure the weight of coal to ensure the accuracy of the coal blending ratio; the cloud platform provides data storage, processing and analysis services, and supports remote access and control; the data acquisition module, data storage module, and data analysis module are used to process the collected data; and the safety monitoring module facilitates real-time monitoring.

[0027] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0028] After the coal proportion analysis of the present invention, the production cost is reduced. By optimizing the coal blending structure and reducing the proportion of high-quality coking coal used, the cost of the blended coal can be significantly reduced, the coal blending efficiency is improved, the efficiency and accuracy of coal blending are improved, work efficiency is improved, environmental pollution is reduced, the coal blending process is optimized, costs are reduced, and the market competitiveness of coal products is improved. The characteristic data of each single type of coal is systematically collected and analyzed to provide accurate data support for the rational utilization and scientific research of coal. Through comprehensive utilization and process optimization, the utilization efficiency and environmental protection performance of coal can be significantly improved. The chloride ion content in the coal burning water system can be effectively analyzed and controlled, thereby ensuring the stable operation of the desulfurization system and the satisfaction of environmental protection requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the flow structure of a coal proportioning analysis method of the present invention; DETAILED DESCRIPTION

[0030] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0031] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0032] The embodiment of the present invention provides a coal proportion analysis method, as shown in the figure, comprising the following steps:

[0033] Step 1: Determination of target characteristics: First, it is necessary to determine the target characteristics of the mixed coal, conduct index analysis on the Tianchi Energy mixed coal and coal gangue to be used, and provide raw coal industrial analysis, ash component analysis and ash viscosity analysis data, including key indicators such as calorific value, volatile matter, sulfur content, ash content, etc.

[0034] Step 2: Data collection: Collect characteristic data of each type of coal;

[0035] Step 3: Calculate the mixing ratio: According to the target characteristics and the data of the single coal, accurately measure the weight of the coal and calculate the mixing ratio;

[0036] Step 4: Ratio calculation: Ratio calculation includes weight ratio method and energy ratio method;

[0037] Step 5: Verify the mixed ratio: After calculating the ratio, it is necessary to verify through experiments whether the mixed coal meets all the target characteristics. If it does not meet the requirements, it is necessary to adjust the ratio and recalculate;

[0038] Step 6: Take samples for testing, conduct trial burning, adjust parameters based on the results, and finally determine the coal ratio.

[0039] Step one also includes raw coal blending, which includes coal yard blending, coal bunker mixing, material mixing, loading and transport mixing, and unloading mixing.

[0040] The determination of the target characteristics in step one also includes sampling and testing the proportioned pulverized coal samples, trial burning, and selecting Maliantai coal gangue with low ignition loss (high ash content) and total Si+Al content >80% as an additive for the coal entering the furnace to adjust the composition and viscosity-temperature characteristics of the ash entering the furnace.

[0041] The method of collecting characteristic data of each type of coal in step 2 includes sampling the coal, analyzing the moisture, ash, volatile matter, sulfur content, and calorific value of the collected different coals, organizing the analyzed data, establishing a database, and analyzing and statistics the data in the database to obtain the distribution and correlation information of the characteristic parameters of the coal.

[0042] The calculation of the mixing ratio in step 3 and step 4 specifically includes determining the target characteristics, clarifying the expected characteristics of the mixed coal, such as calorific value, volatile matter, sulfur content, and ash content, collecting data of the single coal, and calculating the mixing ratio. The specific method of calculating the mixing ratio is as follows: proportioning according to the weight ratio of the coal;

[0043] The weights of the two types of coal are m1m1 and m2m2 respectively, and the required ratio is n:mn:m, then n+m=1n+m=1; according to this ratio, we can get n=m1m1+m2n=m1+m2m1, m=m2m1+m2m=m1+m2m2;

[0044] The specific method of energy ratio method is: proportioning according to the calorific value ratio of coal;

[0045] The calorific values ​​of the two types of coal are Q1Q1 and Q2Q2 respectively, and the required ratio is n:mn:m, then n+m=1n+m=1;

[0046] According to this proportional relationship, we can obtain n=Q1Q1+Q2n=Q1+Q2Q1, m=Q2Q1+Q2m=Q1+Q2Q2.

[0047] The method of verifying the mixed ratio in step 5 is: select samples, measure the ash content, volatile matter, fixed carbon, and sulfur content of the samples, and calculate the proportion of the single coal using the proportion calculation formula based on the various indicators of the mixed coal and the various indicators of the single coal;

[0048] Single coal ratio = (single coal index value - index value of other components in mixed coal + mixed coal index value - index value of other components in mixed coal) × 100%

[0049] Among them, the mixed coal index value is a certain index value of the mixed coal, such as ash content; the single coal index value is the corresponding index value of the single coal, such as the ash content of the single coal; the index value of other components in the mixed coal is the sum of the index values ​​of other components except the single coal, such as ash content plus volatile matter plus fixed carbon;

[0050] Compare and analyze the experimental data with the expected target characteristics to verify whether the mixed ratio meets the design requirements.

[0051] In step six, the process parameters are adjusted through sampling and test burning, which specifically includes: obtaining the combustion characteristic data during the test burning process, and conducting a detailed analysis of the data obtained from the test burning to determine the impact of different process parameters on the combustion efficiency; adjusting the process parameters based on the test burning results and data analysis; chloride ion analysis in the coal burning water system; optimizing the ratio of mixed coal based on the test burning results; continuous monitoring and adjustment; and safety risk analysis.

[0052] According to the test burning results and data analysis, the process parameters adjusted include coal mill operation mode, air volume control, oxygen control, and ammonia injection amount adjustment.

[0053] Chloride ion analysis methods in coal burning water systems include chloride ion source analysis and chloride ion content monitoring.

[0054] Prior art In the current raw coal market, the price of Xinjiang coal is relatively low and the supply is sufficient, but its coal quality characteristics such as high alkali metal content in the ash and high chloride ion content in the coal make it unable to meet the water-cooled wall hanging slag requirements of aerospace gasification furnace operation, and will cause problems such as scaling of device pipelines and corrosion of stainless steel pipelines, resulting in this type of coal being unable to be used in large quantities in production. After the coal proportion analysis of the present invention, the production cost is reduced. By optimizing the coal proportioning structure and reducing the proportion of high-quality coking coal, the cost of blended coal can be significantly reduced, the coal proportioning efficiency is improved, the efficiency and accuracy of coal proportioning are improved, work efficiency is improved, environmental pollution is reduced, the coal proportioning process is optimized, costs are reduced, and the market competitiveness of coal products is improved. The characteristic data of each single type of coal is systematically collected and analyzed to provide accurate data support for the rational use and scientific research of coal. Through comprehensive utilization and process optimization, the utilization efficiency and environmental protection performance of coal can be significantly improved. The chloride ion content in the coal burning water system can be effectively analyzed and controlled, thereby ensuring the stable operation of the desulfurization system and the satisfaction of environmental protection requirements.

[0055] A coal proportion analysis system:

[0056] It includes servers, PLC controllers, online detection equipment, sampling devices, belt scales, cloud platforms, data acquisition modules, data storage modules, data analysis modules, and security monitoring modules. The server is responsible for running the coal blending algorithm model, processing data collected from various devices, and performing calculations and optimization analysis; the PLC controller is used to receive instructions from the server, control on-site coal feeders, belt scales and other equipment, and achieve precise coal blending operations; online detection equipment, including ash meters, moisture meters, etc., are used to monitor coal quality indicators in real time; the sampling device is used to collect coal samples for more detailed laboratory analysis; the belt scale is used to accurately measure the weight of coal to ensure the accuracy of the coal blending ratio; the cloud platform provides data storage, processing and analysis services, and supports remote access and control; the data acquisition module, data storage module, and data analysis module are used to process the collected data; and the security monitoring module is used to facilitate real-time monitoring.

[0057] It should be noted that, for the above-mentioned embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described order of actions, because according to the present invention, some steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

[0058] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, such as the division of the above-mentioned units. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be in the form of telecommunication or other forms.

[0059] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0060] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in this field can still combine, add, delete or make other adjustments to the features in the various embodiments of the present invention according to the circumstances without conflict, without making creative work, so as to obtain different other technical solutions that do not deviate from the concept of the present invention in essence, and these technical solutions also belong to the scope of protection of the present invention.

Claims

1. A coal proportion analysis method, characterized in that: Includes the following steps: Step 1: Determination of target characteristics: First, it is necessary to determine the target characteristics of the mixed coal, conduct index analysis on the Tianchi Energy mixed coal and coal gangue to be used, and provide raw coal industrial analysis, ash component analysis and ash viscosity analysis data, including key indicators such as calorific value, volatile matter, sulfur content, ash content, etc. Step 2: Data collection: Collect characteristic data of each type of coal; Step 3: Calculate the mixing ratio: According to the target characteristics and the data of the single coal, accurately measure the weight of the coal and calculate the mixing ratio; Step 4: Ratio calculation: The ratio calculation includes weight ratio method and energy ratio method; Step 5: Verify the mixed ratio: After calculating the ratio, it is necessary to verify through experiments whether the mixed coal meets all the target characteristics. If it does not meet the requirements, it is necessary to adjust the ratio and recalculate; Step 6: Take samples for testing, conduct trial burning, adjust parameters based on the results, and finally determine the coal ratio.

2. A coal proportion analysis method according to claim 1, characterized in that: The step one also includes raw coal blending, which includes coal yard blending, coal bunker mixing, material mixing, loading and transportation mixing, and unloading mixing.

3. A coal proportion analysis method according to claim 2, characterized in that: The determination of the target characteristics in the step one also includes sampling and testing the proportioned pulverized coal samples, trial burning, and selecting Maliantai coal gangue with low ignition loss (high ash content) and a total Si+Al content of more than 80% in the ash composition characteristics as an additive for the coal entering the furnace for burning, and adjusting the ash composition and viscosity-temperature characteristics of the coal entering the furnace.

4. A coal proportion analysis method as claimed in claim 2, characterized in that: The method of collecting characteristic data of each single type of coal in the step 2 includes sampling the coal, analyzing the moisture, ash, volatile matter, sulfur content, and calorific value of the collected different coals, organizing the analyzed data, establishing a database, and analyzing and statistics the data in the database to obtain the distribution and correlation information of the characteristic parameters of the coal.

5. A coal proportion analysis method according to claim 1, characterized in that: The calculation of the mixing ratio in step 3 and step 4 specifically includes determining the target characteristics, clarifying the expected characteristics of the mixed coal, such as calorific value, volatile matter, sulfur content, ash content, collecting data of a single type of coal, and calculating the mixing ratio, wherein the calculation of the mixing ratio, wherein the weight ratio method specifically includes: proportioning according to the weight ratio of the coal; The weights of the two types of coal are m1m1 and m2m2 respectively, and the required ratio is n:mn:m, then n+m=1n+m=1; according to this ratio, we can get n=m1m1+m2n=m1+m2m1, m=m2m1+m2m=m1+m2m2; The specific method of the energy ratio method is: proportioning according to the calorific value ratio of coal; The calorific values ​​of the two types of coal are Q1 Q1 and Q2Q2 respectively, and the required ratio is n:mn:m, then n+m=1n+m=1; According to this proportional relationship, we can obtain n=Q1Q1+Q2n=Q1+Q2Q1, m=Q2Q1+Q2m=Q1+Q2Q2.

6. A coal proportion analysis method according to claim 1, characterized in that: The method of verifying the mixed ratio in step 5 is: selecting a sample, measuring the ash content, volatile matter, fixed carbon, and sulfur content of the sample, and calculating the proportion of the single coal using a proportion calculation formula based on the various indicators of the mixed coal and the various indicators of the single coal; Single coal ratio = (single coal index value - index value of other components in mixed coal + mixed coal index value - index value of other components in mixed coal) × 100% Among them, the mixed coal index value is a certain index value of the mixed coal, such as ash content; the single coal index value is the corresponding index value of the single coal, such as the ash content of the single coal; the index value of other components in the mixed coal is the sum of the index values ​​of other components except the single coal, such as ash content plus volatile matter plus fixed carbon; Compare and analyze the experimental data with the expected target characteristics to verify whether the mixed ratio meets the design requirements.

7. A coal proportion analysis method according to claim 1, characterized in that: The process parameters are adjusted by sampling and test burning in step 6, which specifically includes: obtaining combustion characteristic data during the test burning process, and performing detailed analysis on the data obtained from the test burning to determine the influence of different process parameters on the combustion efficiency; adjusting the process parameters according to the test burning results and data analysis; chloride ion analysis in the coal burning water system; optimizing the proportion of the mixed coal according to the test burning results; Continuous monitoring and adjustment; security risk analysis.

8. A coal proportion analysis method according to claim 7, characterized in that: According to the test burning results and data analysis, the process parameters to be adjusted include coal mill operation mode, air volume control, oxygen volume control, and ammonia injection amount adjustment.

9. A coal proportion analysis method according to claim 8, characterized in that: The chloride ion analysis method in the coal burning water system includes chloride ion source analysis and chloride ion content monitoring.

10. A coal proportion analysis system as claimed in claims 1 to 9, characterized in that: It includes a server, a PLC controller, an online detection device, a sampling device, a belt scale, a cloud platform, a data acquisition module, a data storage module, a data analysis module, and a safety monitoring module. The server is responsible for running the coal blending algorithm model, processing the data collected from various devices, and performing calculations and optimization analysis; The PLC controller is used to receive instructions from the server and control the coal feeder, belt scale and other equipment on site to achieve accurate coal blending operation; the online detection equipment, including ash meter, moisture meter, etc., is used to monitor the quality indicators of coal in real time; the sampling device is used to collect coal samples for more detailed laboratory analysis; the belt scale is used to accurately measure the weight of coal to ensure the accuracy of the coal blending ratio; The cloud platform provides data storage, processing and analysis services and supports remote access and control; the data acquisition module, data storage module and data analysis module are used to process the collected data; The security monitoring module facilitates real-time monitoring.

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