An optimized coal blending system for a pulverized coal gasifier for methanol production

Abstract

The invention relates to the technical field of pulverized coal gasifiers, and is used to solve the problem that in the existing pulverized coal gasifier management process of coal blending optimization, it is difficult to simultaneously control the gasification conditions and the proportion of coal blending, which leads to the singleness and inaccuracy of the management mode of coal blending optimization, greatly reducing the economic benefits of methanol production and preparation. In particular, an optimized coal blending system for a pulverized coal gasifier used for methanol production is disclosed, comprising a coal blending optimization analysis platform, wherein a server is arranged inside the coal blending optimization analysis platform, and the server is communicatively connected with a data acquisition unit, a cloud storage unit, a product quantification unit, a control analysis unit, an equipment operation analysis unit, a correction control unit, an optimization adjustment unit and a display terminal; the invention realizes the effect of jointly optimizing the gasification conditions of coal blending and the coal type blending scheme, improves the comprehensiveness and accuracy of the management mode of coal blending optimization, and promotes the economic benefits of methanol production and preparation.

Description

Technical Field

[0001] The invention relates to the technical field of pulverized coal gasifiers, and in particular to an optimized coal blending system for a pulverized coal gasifier used for methanol production. Background Art

[0002] The pulverized coal gasifier is composed of a furnace, a U-shaped return pipe and a cyclone separator. The pulverized coal with a particle size of 0-10mm circulates in the furnace and contacts the gasifier fully and evenly, thereby greatly improving the conversion rate of coal. This special structure of the pulverized coal gasifier determines that the furnace has high gasification efficiency, high coal conversion utilization rate, and more energy saving;

[0003] By putting coal powder, oxygen and water vapor into a pulverized coal gasifier for gasification reaction, a large amount of carbon monoxide and hydrogen can be obtained, and carbon monoxide and hydrogen are the most direct material gases for preparing synthetic methanol. Therefore, the use of pulverized coal gasifiers can greatly promote the production of methanol. However, if the optimization of coal matching in the pulverized coal gasifier cannot be guaranteed during the use of the pulverized coal gasifier, it is difficult to ensure the efficient production of methanol.

[0004] In the existing coal blending optimization management of pulverized coal gasifiers, most of them only achieve optimization effects by analyzing and adjusting the coal ratio, ignoring the problem of imperfect gasification conditions of pulverized coal gasifiers, which makes it difficult to simultaneously control the gasification conditions and the coal ratio of the coal blending. Therefore, the existing coal blending optimization management method is single and inaccurate, which also greatly reduces the economic benefits of methanol production.

[0005] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0006] The purpose of the present invention is to solve the problem that in the existing pulverized coal gasifier management process of coal blending optimization, it is difficult to simultaneously regulate the gasification conditions and the proportion of coal blending, which leads to the singleness and inaccuracy of the management method of coal blending optimization, greatly reducing the economic benefits of methanol production and preparation. Through formulaic processing, signal output, average processing and analysis method constructed by rectangular coordinate system, the effect of jointly optimizing the gasification conditions of coal blending and the coal type ratio scheme is achieved, and the optimized coal blending of the pulverized coal gasifier is adjusted and output from different levels, which improves the comprehensiveness and accuracy of the management method of coal blending optimization, promotes the economic benefits of methanol production and preparation, and proposes an optimized coal blending system for a pulverized coal gasifier for methanol production.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A coal blending optimization system for a pulverized coal gasification furnace for methanol production, comprising a coal blending optimization analysis platform, wherein a server is arranged inside the coal blending optimization analysis platform, and the server is communicatively connected with a data acquisition unit, a cloud storage unit, a product quantification unit, a control analysis unit, an equipment operation analysis unit, a correction control unit, an optimization adjustment unit and a display terminal;

[0009] The coal blending optimization analysis platform is used to maximize methanol production. The server selects the optimal coal blending scheme in the cloud storage unit, generates an optimization analysis instruction and sends it to the data acquisition unit. When the data acquisition unit receives the optimization analysis instruction, it collects product data information and the working status information of the pulverized coal gasifier based on it, and sends the product data information to the product quantification unit, and sends the working status information of the pulverized coal gasifier to the equipment operation analysis unit.

[0010] The product quantification unit performs product conversion quantitative analysis and processing on the received product data information, and generates a methanol conversion high-efficiency standard-reaching signal, a methanol conversion normal standard-reaching signal, or a methanol conversion non-standard-reaching signal, and sends them all to the control analysis unit. The control analysis unit performs directional optimization control analysis and processing on the received various methanol conversion performance type signals, and generates a repeat instruction or a gasification condition evaluation instruction based on the received signals, and sends the repeat instruction to the server, and sends the gasification condition evaluation instruction to the equipment operation analysis unit;

[0011] The equipment operation analysis unit is used to receive the gasification condition evaluation instruction, and retrieve the working state information of the pulverized coal gasifier within the same time unit to perform operation performance analysis and processing, and generate the coal ratio scheme adjustment instruction and the reaction temperature insufficient signal, the reaction temperature normal signal, the oxygen temperature insufficient signal or the oxygen temperature normal signal, and send the coal ratio scheme adjustment instruction to the optimization adjustment unit, and send various temperature performance signals to the correction control unit;

[0012] The correction control unit performs hard correction control analysis and processing on various types of received signals, and generates coal ratio scheme adjustment instructions, same gear temperature rise signals or different gear temperature rise signals accordingly, and sends them all to the optimization adjustment unit, which is used to optimize and analyze the received coal ratio scheme adjustment instructions, same gear temperature rise signals or different gear temperature rise signals, and sends the generated text words to the display terminal for display explanation;

[0013] The product data information includes carbon monoxide value, hydrogen value and methanol value, and the working state information includes reaction supply temperature value, oxygen temperature value and opening value;

[0014] The specific steps for product conversion quantitative analysis and processing are as follows:

[0015] Obtain the carbon monoxide value yat, hydrogen value qin and methanol value jia in the product data information per unit time in real time, and calculate the methanol conversion coefficient Zhx according to the formula Zhx=e3×jia÷(e1×yat+e2×qin), where e1, e2 and e3 are the weighting factor coefficients of the carbon monoxide value, hydrogen value and methanol value, respectively, and e1+e2+e3=4.7526;

[0016] Substitute the methanol conversion coefficient Zhx into the corresponding methanol conversion threshold Yu1 for comparison and analysis. If the methanol conversion coefficient Zhx is greater than the maximum value of the methanol conversion threshold Yu1, a methanol conversion high efficiency standard-reaching signal is generated. If the methanol conversion coefficient Zhx is within the range of the methanol conversion threshold Yu1, a methanol conversion normal standard-reaching signal is generated. If the methanol conversion coefficient Zhx is less than the minimum value of the methanol conversion threshold Yu1, a methanol conversion non-standard-reaching signal is generated.

[0017] The specific operation steps of directional optimization control analysis and processing are as follows:

[0018] When a signal that the methanol conversion has reached the high efficiency standard or a signal that the methanol conversion has reached the normal standard is received, a repeat instruction is generated and sent to the server. When the server receives the repeat instruction, the server generates an optimization analysis instruction again.

[0019] When a signal that methanol conversion does not meet the standard is received, a gasification condition evaluation instruction is generated;

[0020] The specific steps for running performance analysis processing are as follows:

[0021] S1: Real-time acquisition of the reaction supply temperature value teg, oxygen temperature value tog and opening value kol in the working state information of the pulverized coal gasifier within the same unit time, and normalization analysis and processing thereof to obtain the operation coefficient Yux of the pulverized coal gasifier;

[0022] S2: Substituting the operation coefficient Yux of the pulverized coal gasifier into the preset operation coefficient threshold Yu2 for comparison and analysis, if the operation coefficient Yux is within the range of the preset operation coefficient threshold Yu2, a normal operation signal is generated, otherwise, an abnormal operation signal is generated;

[0023] S3: According to step S2, when a normal operation signal is generated, a coal proportioning scheme adjustment instruction is generated accordingly;

[0024] S4: According to step S2, when an abnormal operation signal is generated, the reaction supply temperature value teg and the oxygen temperature value tog within a unit time are retrieved, and mean analysis is performed on them respectively, thereby obtaining the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog;

[0025] S5: According to step S4, the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are compared and analyzed respectively, thereby generating a reaction temperature insufficient signal, a reaction temperature normal signal, an oxygen temperature insufficient signal and an oxygen temperature normal signal.

[0026] Further, the specific operation steps of mean analysis processing are as follows:

[0027] Divide the unit time period into n sub-unit times in equal amounts, and obtain the reaction supply temperature value teg of n sub-unit times n and oxygen temperature value tog n , remove the maximum temperature value and the minimum temperature value of the two types of temperature values ​​in n sub-unit times respectively;

[0028] And the remaining n-2 sub-unit time reactions are fed to the temperature value teg m and oxygen temperature value tog m A mean analysis is performed, where m={1, 2, 3…n-2}, and the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are calculated accordingly.

[0029] Further, the specific operation steps of the comparison analysis process are as follows:

[0030] Q1: With time as the horizontal axis and temperature as the vertical axis, a rectangular coordinate system is established, and 10 consecutive sub-unit time responses are randomly selected to provide temperature values ​​teg n and oxygen temperature value tog n , and the continuous 10 sub-unit time responses are fed to the temperature value teg by plotting the curve points n and oxygen temperature value tog n Sketched on a rectangular coordinate system, the reaction supply temperature curve and oxygen temperature curve are obtained accordingly;

[0031] Q2: According to step Q1, the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are drawn on a rectangular coordinate system as comparison reference lines Y=Jteg and Y=Jtog of the reaction supply temperature curve and the oxygen temperature curve respectively;

[0032] Q3: If no more than 6 inflection point values ​​among the 10 inflection point values ​​of the reaction supply temperature curve are on or above the comparison reference line Y=Jteg, a reaction temperature insufficient signal is generated; otherwise, a reaction temperature normal signal is generated; if no more than 6 inflection point values ​​among the 10 inflection point values ​​of the oxygen temperature curve are on or above the comparison reference line Y=Jtog, an oxygen temperature insufficient signal is generated; otherwise, an oxygen temperature normal signal is generated.

[0033] Furthermore, the specific operation steps of the hard correction control analysis and processing are as follows:

[0034] R1: When the normal reaction temperature signal and the normal oxygen temperature signal are received at the same time, a coal ratio adjustment instruction is generated accordingly;

[0035] R2: In other cases, the number of inflection points with the same trend and the number of inflection points with different trends in the same sub-unit time of the reaction supply temperature curve and the oxygen temperature curve are counted and calibrated as SL1 and SL2 respectively. If SL1≥SL2 is satisfied, the same gear temperature increase signal is generated. If SL1<SL2 is satisfied, different gear temperature increase signals are generated.

[0036] Further, the specific operation steps of optimizing the analysis and processing are as follows:

[0037] When receiving the coal ratio scheme adjustment instruction, the coal ratio scheme sequence set in the cloud storage unit is retrieved, and a coal ratio scheme with the largest methanol conversion amount in the coal ratio scheme sequence set is selected as a new training scheme, wherein the coal ratio scheme sequence set is used to represent sample data of each scheme of each type of coal ratio summarized by computer and manual calculation. The server generates the optimization analysis instruction again according to the new training scheme, and at the same time generates the text "second optimization analysis is required, and the optimization of the first scheme ratio is completed" and sends it to the display terminal;

[0038] When the same gear temperature increase signal is received, the reaction temperature and oxygen temperature are simultaneously increased by H gears, and a text message "Secondary optimization analysis is required, primary equipment adjustment optimization is completed" is generated and sent to the display terminal;

[0039] When receiving different gear temperature increase signals, the reaction temperature and oxygen temperature are adjusted in the opposite direction by H gears at the same time, and a text message "Secondary optimization analysis is required, and primary equipment adjustment optimization is completed" is generated and sent to the display terminal.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] Through symbolic calibration, formulaic processing and threshold substitution comparison, data for judging methanol production efficiency is obtained, and based on this data, directional optimization analysis and training of coal blending for pulverized coal gasifier is carried out. This not only realizes the clear optimization direction of coal blending, but also lays the foundation for coal blending optimization for pulverized coal gasifier.

[0042] By using normalized processing, signalized output, averaging processing and rectangular coordinate system construction analysis methods, a comprehensive and accurate analysis was conducted on the gasification conditions of the pulverized coal gasifier coal blending. Through accurate analysis and control of the hard coal blending conditions, while better assisting in the optimization and improvement of the coal blending, it also further promoted the joint optimization of the gasification conditions and coal ratio schemes of the coal blending, and realized the adjustment and output of the optimized coal blending of the pulverized coal gasifier from different levels, which improved the comprehensiveness and accuracy of the coal blending optimization management method and promoted the economic benefits of methanol production and preparation. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0044] Figure 1 This is the overall system block diagram of the present invention. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. Example 1

[0046] like Figure 1 As shown, an optimized coal blending system for a pulverized coal gasification furnace for methanol production includes a coal blending optimization analysis platform, wherein a server is arranged inside the coal blending optimization analysis platform, and the server is communicatively connected with a data acquisition unit, a cloud storage unit, a product quantification unit, a control analysis unit, an equipment operation analysis unit, a correction control unit, an optimization adjustment unit and a display terminal;

[0047] The coal blending optimization analysis platform is used to maximize methanol production. The server selects the optimal coal blending scheme in the cloud storage unit, generates an optimization analysis instruction and sends it to the data acquisition unit. When the data acquisition unit receives the optimization analysis instruction, it collects product data information and the working status information of the pulverized coal gasifier based on it, and sends the product data information to the product quantification unit, and sends the working status information of the pulverized coal gasifier to the equipment operation analysis unit.

[0048] It should be noted that the product data information refers to a type of data information of the properties of the product generated after the combustion of the pulverized coal gasifier, and the product data information includes a carbon monoxide value, a hydrogen value and a methanol value, wherein the carbon monoxide value refers to the data value of the carbon monoxide content generated in the reaction process of the pulverized coal gasifier, the hydrogen value refers to the data value of the hydrogen content generated in the reaction process of the pulverized coal gasifier, and the methanol value refers to the data value of the methanol content generated after the carbon monoxide value and the hydrogen value react;

[0049] The working state information is a type of data information used to indicate the state of gasification conditions provided by the pulverized coal gasifier when it is working, and the working state information includes a reaction supply temperature value, an oxygen temperature value, and an opening value, wherein the reaction supply temperature value refers to the data value representing the reaction temperature provided by the pulverized coal gasifier to the gasification reaction process, the oxygen temperature value refers to the data value representing the temperature of oxygen provided by the pulverized coal gasifier to the gasification reaction process, and the opening value refers to the data value representing the number of gasification holes opened by the pulverized coal gasifier during the reaction process;

[0050] The product quantification unit performs product conversion quantitative analysis and processing on the received product data information, and generates a methanol conversion high-efficiency standard-reaching signal, a methanol conversion normal standard-reaching signal, or a methanol conversion non-standard-reaching signal, and sends them all to the control analysis unit. The control analysis unit performs directional optimization control analysis and processing on the received various methanol conversion performance type signals, and generates a repeat instruction or a gasification condition evaluation instruction based on the received signals, and sends the repeat instruction to the server, and sends the gasification condition evaluation instruction to the equipment operation analysis unit;

[0051] The equipment operation analysis unit is used to receive the gasification condition evaluation instruction, and retrieve the working state information of the pulverized coal gasifier within the same time unit to perform operation performance analysis and processing, and generate the coal ratio scheme adjustment instruction and the reaction temperature insufficient signal, the reaction temperature normal signal, the oxygen temperature insufficient signal or the oxygen temperature normal signal, and send the coal ratio scheme adjustment instruction to the optimization adjustment unit, and send various temperature performance signals to the correction control unit;

[0052] The correction control unit performs hard correction control analysis and processing on various types of received signals, and generates coal ratio scheme adjustment instructions, same gear temperature increase signals or different gear temperature increase signals based on this, and sends them all to the optimization adjustment unit. The optimization adjustment unit is used to optimize the analysis and processing of the received coal ratio scheme adjustment instructions, same gear temperature increase signals or different gear temperature increase signals, and send the generated text to the display terminal for display. Example 2

[0053] like Figure 1As shown, when the data acquisition unit receives the optimization analysis instruction, it collects the product data information of the pulverized coal gasifier accordingly, and sends the product data information to the product quantification unit. When the product quantification unit receives the product data information, it performs product conversion quantitative analysis processing accordingly. The specific operation steps are as follows:

[0054] The carbon monoxide value, hydrogen value and methanol value in the product data information per unit time are obtained in real time, and are calibrated as yat, qin and jia respectively. The methanol conversion coefficient Zhx is obtained according to the formula Zhx=e3×jia÷(e1×yat+e2×qin), where e1, e2 and e3 are weight factor coefficients of the carbon monoxide value, hydrogen value and methanol value respectively, and e1+e2+e3=4.7526. It should be noted that the weight factor coefficient is used to balance the weight of each data in the formula calculation, thereby promoting the accuracy of the calculation result;

[0055] Substitute the methanol conversion coefficient Zhx into the corresponding methanol conversion threshold Yu1 for comparison and analysis. If the methanol conversion coefficient Zhx is greater than the maximum value of the methanol conversion threshold Yu1, a methanol conversion high efficiency standard-reaching signal is generated. If the methanol conversion coefficient Zhx is within the range of the methanol conversion threshold Yu1, a methanol conversion normal standard-reaching signal is generated. If the methanol conversion coefficient Zhx is less than the minimum value of the methanol conversion threshold Yu1, a methanol conversion non-standard-reaching signal is generated.

[0056] The generated methanol conversion high efficiency reaching standard signal, methanol conversion normal reaching standard signal or methanol conversion not reaching standard signal are all sent to the control and analysis unit;

[0057] When the control and analysis unit receives various methanol conversion performance type signals, it performs directional optimization control analysis and processing accordingly. The specific operation steps are as follows:

[0058] When a methanol conversion high efficiency reaching standard signal or a methanol conversion normal reaching standard signal is received, a repeat instruction is generated and sent to the server. When the server receives the repeat instruction, the server generates an optimization analysis instruction again, and executes a new round of coal blending optimization analysis of the pulverized coal gasifier for methanol production according to the optimization analysis instruction generated by the server again.

[0059] When a signal indicating that methanol conversion does not meet the standards is received, a gasification condition evaluation instruction is generated and sent to the equipment operation analysis unit. Example 3

[0060] like Figure 1As shown, when the equipment operation analysis unit receives the gasification condition evaluation instruction, it retrieves the working status information of the pulverized coal gasifier in the same time unit and performs operation performance analysis processing accordingly. The specific operation steps are as follows:

[0061] The reaction supply temperature value, oxygen temperature value and opening value in the working state information of the pulverized coal gasifier within the same unit time are obtained in real time, and are calibrated as teg, tog and kol respectively, and are normalized and analyzed. According to the formula Yux=k1×teg+k2×tog+k3×kol, the operation coefficient Yux of the pulverized coal gasifier is obtained, wherein k1, k2 and k3 are correction factor coefficients of the reaction supply temperature value, oxygen temperature value and opening value respectively, and k1>k3>k2>0, and k1+k2+k3=1.0574. It should be noted that the correction factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation more accurate and the parameter data;

[0062] Substitute the operating coefficient Yux of the pulverized coal gasifier into the preset operating coefficient threshold Yu2 for comparison and analysis. If the operating coefficient Yux is within the range of the preset operating coefficient threshold Yu2, a normal operating signal is generated; otherwise, an abnormal operating signal is generated.

[0063] When a normal operation signal is generated, a coal proportioning scheme adjustment instruction is generated accordingly, and the coal proportioning scheme adjustment instruction is sent to the optimization adjustment unit;

[0064] When the optimization adjustment unit receives the coal ratio adjustment instruction, it performs optimization analysis and processing accordingly. The specific operation steps are as follows:

[0065] When receiving the coal ratio scheme adjustment instruction, the coal ratio scheme sequence set in the cloud storage unit is retrieved, and a coal ratio scheme with the largest methanol conversion amount in the coal ratio scheme sequence set is selected as a new training scheme. The coal ratio scheme sequence set is used to represent sample data of each scheme of each type of coal ratio summarized by computer and manual calculation. The server generates the optimization analysis instruction again according to the new training scheme, and at the same time generates the text "second optimization analysis is required, and the optimization of the first scheme ratio is completed" and sends it to the display terminal;

[0066] It should be noted that in the above selection of new training plans, the principle of unchanged cardinality is followed, so the coal type cardinality types of the new training plans selected are always consistent with the coal type cardinality in the overall optimization process. The only difference is that the quantity ratio of the same coal type cardinality is inconsistent. Example 4

[0067] like Figure 1As shown, when an abnormal operation signal is obtained through the operation performance analysis, the reaction supply temperature value teg and the oxygen temperature value tog within a unit time are retrieved and average analysis is performed on them respectively. The specific operation steps are as follows:

[0068] Divide the unit time period into n sub-unit times in equal amounts, and obtain the reaction supply temperature value teg of n sub-unit times n and oxygen temperature value tog n , remove the maximum temperature value and the minimum temperature value of the two types of temperature values ​​in n sub-unit times respectively;

[0069] And the remaining n-2 sub-unit time reactions are fed to the temperature value teg m and oxygen temperature value tog m Perform mean analysis, where m={1, 2, 3…n-2}, according to the formula Jteg=(teg1+teg2+…+teg n-2 )÷(n-2), Jtog=(tog1+tog2+…+tog n-2 )÷(n-2), and accordingly, the reaction supply mean temperature Jteg and oxygen mean temperature Jtog are obtained respectively;

[0070] The reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are compared and analyzed respectively. The specific operation steps are as follows:

[0071] With time as the horizontal axis and temperature as the vertical axis, a rectangular coordinate system is established, and 10 consecutive sub-unit time responses are randomly selected to provide temperature values ​​teg n and oxygen temperature value tog n , and the continuous 10 sub-unit time responses are fed to the temperature value teg by plotting the curve points n and oxygen temperature value tog n Sketched on a rectangular coordinate system, the reaction supply temperature curve and oxygen temperature curve are obtained accordingly;

[0072] The reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are drawn on the rectangular coordinate system as the comparison reference lines Y=Jteg and Y=Jtog of the reaction supply temperature curve and the oxygen temperature curve respectively;

[0073] If no more than 6 inflection point values ​​among the 10 inflection point values ​​of the reaction supply temperature curve are on or above the comparison reference line Y=Jteg, a reaction temperature insufficient signal is generated, otherwise, a reaction temperature normal signal is generated; if no more than 6 inflection point values ​​among the 10 inflection point values ​​of the oxygen temperature curve are on or above the comparison reference line Y=Jtog, an oxygen temperature insufficient signal is generated, otherwise, an oxygen temperature normal signal is generated;

[0074] The generated insufficient reaction temperature signal, normal reaction temperature signal, insufficient oxygen temperature signal and normal oxygen temperature signal are all sent to the correction control unit;

[0075] When the correction control unit receives various types of missing signals, it performs hard correction control analysis and processing accordingly. The specific operation steps are as follows:

[0076] When the normal reaction temperature signal and the normal oxygen temperature signal are received at the same time, a coal proportioning scheme adjustment instruction is generated accordingly;

[0077] In other cases, the number of inflection points with the same trend and the number of inflection points with different trends in the same sub-unit time of the reaction supply temperature curve and the oxygen temperature curve are counted, and they are marked as SL1 and SL2 respectively. If SL1≥SL2 is satisfied, the same gear temperature rise signal is generated, and if SL1<SL2 is satisfied, a different gear temperature rise signal is generated;

[0078] The generated same gear temperature increase signals or different gear temperature increase signals are sent to the optimization adjustment unit;

[0079] It should be noted that when the inflection point trends of the two curves are the same, it means that the two curves are in a proportional relationship, and when there are more proportional relationships, it means that the same operation can be performed. When the inflection point trends of the two curves are different, it means that the two curves are in an inversely proportional relationship, and when there are more inversely proportional relationships, it means that the opposite operation can be performed.

[0080] When the optimization adjustment unit receives the same gear temperature rise signal or the different gear temperature rise signal, it performs optimization analysis and processing accordingly. The specific operation steps are as follows:

[0081] When the same gear temperature increase signal is received, the reaction temperature and oxygen temperature are simultaneously increased by H gears, and a text message "Secondary optimization analysis is required, primary equipment adjustment optimization is completed" is generated and sent to the display terminal;

[0082] When different gear-level heating signals are received, the reaction temperature and oxygen temperature are simultaneously adjusted in reverse by H gear levels, and the text "Secondary optimization analysis required, primary equipment adjustment optimization completed" is generated and sent to the display terminal for display instructions.

[0083] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0084] Such as the formula: Zhx=e3×jia÷(e1×yat+e2×qin);

[0085] A technician in this field collects multiple groups of sample data and sets corresponding weight factor coefficients for each group of sample data; substitutes the set weight factor coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation system, and the calculated coefficients are screened and averaged to obtain the values ​​of e1, e2 and e3 as 2.1802, 0.9701 and 1.6023 respectively;

[0086] The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding weight factor coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0087] When the present invention is used, by selecting a relatively optimal coal type ratio scheme in a cloud storage unit as a basis, and performing optimization training on methanol production efficiency, the product data information after the pulverized coal gasifier is collected according to the optimization analysis instruction, and the product conversion quantitative analysis processing is performed, and the data for judging the methanol production efficiency is obtained by means of symbolic calibration, formulaic processing and threshold substitution comparison, and based on this, the pulverized coal gasifier coal matching direction optimization analysis training is performed, thereby achieving a clear optimization of the coal matching direction path, and also laying a foundation for the optimization of the coal matching of the pulverized coal gasifier;

[0088] By analyzing the operating performance of the pulverized coal gasifier's working status information, and using normalized processing, signalized output, average processing, and rectangular coordinate system construction, the gasification conditions of the pulverized coal gasifier are comprehensively and accurately analyzed. By accurately analyzing and controlling the hard coal blending conditions, while better assisting in the optimization and improvement of coal blending, it also further promotes the effect of the joint optimization analysis of the gasification conditions and coal ratio scheme of coal blending;

[0089] By using data-based comparative analysis and text-based analysis, the inaccuracies in coal blending in pulverized coal gasifiers are adjusted and output from different levels, thereby improving the comprehensiveness and accuracy of coal blending optimization management methods while also promoting the economic benefits of methanol production.

[0090] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An optimized coal blending system for a pulverized coal gasifier for methanol production, comprising a coal blending optimization analysis platform, characterized in that: The coal blending optimization and analysis platform is internally provided with a server, and the server is connected to a data acquisition unit, a cloud storage unit, a product quantification unit, a control and analysis unit, an equipment operation analysis unit, a correction control unit, an optimization and adjustment unit and a display terminal; The coal blending optimization analysis platform is used to maximize methanol production. The server selects the optimal coal blending scheme in the cloud storage unit, generates an optimization analysis instruction and sends it to the data acquisition unit. When the data acquisition unit receives the optimization analysis instruction, it collects product data information and the working status information of the pulverized coal gasifier based on it, and sends the product data information to the product quantification unit, and sends the working status information of the pulverized coal gasifier to the equipment operation analysis unit. The product quantification unit performs product conversion quantitative analysis and processing on the received product data information, and generates a methanol conversion high-efficiency standard-reaching signal, a methanol conversion normal standard-reaching signal, or a methanol conversion non-standard-reaching signal, and sends them all to the control analysis unit. The control analysis unit performs directional optimization control analysis and processing on the received various methanol conversion performance type signals, and generates a repeat instruction or a gasification condition evaluation instruction based on the received signals, and sends the repeat instruction to the server, and sends the gasification condition evaluation instruction to the equipment operation analysis unit; The equipment operation analysis unit is used to receive the gasification condition evaluation instruction, and retrieve the working state information of the pulverized coal gasifier within the same time unit to perform operation performance analysis and processing, and generate the coal ratio scheme adjustment instruction and the reaction temperature insufficient signal, the reaction temperature normal signal, the oxygen temperature insufficient signal or the oxygen temperature normal signal, and send the coal ratio scheme adjustment instruction to the optimization adjustment unit, and send various temperature performance signals to the correction control unit; The correction control unit performs hard correction control analysis and processing on various types of received signals, and generates coal ratio scheme adjustment instructions, same gear temperature rise signals or different gear temperature rise signals accordingly, and sends them all to the optimization adjustment unit, which is used to optimize and analyze the received coal ratio scheme adjustment instructions, same gear temperature rise signals or different gear temperature rise signals, and sends the generated text words to the display terminal for display explanation; The product data information includes carbon monoxide value, hydrogen value and methanol value, and the working state information includes reaction supply temperature value, oxygen temperature value and opening value; The specific steps for product conversion quantitative analysis and processing are as follows: Obtain the carbon monoxide value yat, hydrogen value qin and methanol value jia in the product data information per unit time in real time, and calculate the methanol conversion coefficient Zhx according to the formula Zhx=e3×jia÷(e1×yat+e2×qin), where e1, e2 and e3 are the weighting factor coefficients of the carbon monoxide value, hydrogen value and methanol value, respectively, and e1+e2+e3=4.7526; Substitute the methanol conversion coefficient Zhx into the corresponding methanol conversion threshold Yu1 for comparison and analysis. If the methanol conversion coefficient Zhx is greater than the maximum value of the methanol conversion threshold Yu1, a methanol conversion high efficiency standard-reaching signal is generated. If the methanol conversion coefficient Zhx is within the range of the methanol conversion threshold Yu1, a methanol conversion normal standard-reaching signal is generated. If the methanol conversion coefficient Zhx is less than the minimum value of the methanol conversion threshold Yu1, a methanol conversion non-standard-reaching signal is generated. The specific operation steps of directional optimization control analysis and processing are as follows: When a signal that the methanol conversion has reached the high efficiency standard or a signal that the methanol conversion has reached the normal standard is received, a repeat instruction is generated and sent to the server. When the server receives the repeat instruction, the server generates an optimization analysis instruction again. When a signal that methanol conversion does not meet the standard is received, a gasification condition evaluation instruction is generated; The specific steps for running performance analysis processing are as follows: S1: Real-time acquisition of the reaction supply temperature value teg, oxygen temperature value tog and opening value kol in the working state information of the pulverized coal gasifier within the same unit time, and normalization analysis and processing thereof to obtain the operation coefficient Yux of the pulverized coal gasifier; S2: Substituting the operation coefficient Yux of the pulverized coal gasifier into the preset operation coefficient threshold Yu2 for comparison and analysis, if the operation coefficient Yux is within the range of the preset operation coefficient threshold Yu2, a normal operation signal is generated, otherwise, an abnormal operation signal is generated; S3: According to step S2, when a normal operation signal is generated, a coal proportioning scheme adjustment instruction is generated accordingly; S4: According to step S2, when an abnormal operation signal is generated, the reaction supply temperature value teg and the oxygen temperature value tog within a unit time are retrieved, and mean analysis is performed on them respectively, thereby obtaining the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog; S5: According to step S4, the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are compared and analyzed respectively, thereby generating a reaction temperature insufficient signal, a reaction temperature normal signal, an oxygen temperature insufficient signal and an oxygen temperature normal signal.

2. The optimized coal blending system for a pulverized coal gasifier for methanol production according to claim 1, characterized in that: The specific steps of mean analysis are as follows: Divide the unit time period into n sub-unit times in equal amounts, and obtain the reaction supply temperature value teg of n sub-unit times n and oxygen temperature value tog n , remove the maximum temperature value and the minimum temperature value of the two types of temperature values ​​in n sub-unit times respectively; And the remaining n-2 sub-unit time reactions are fed to the temperature value teg m and oxygen temperature value tog m A mean analysis is performed, where m={1, 2, 3…n-2}, and the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are calculated accordingly.

3. The optimized coal blending system for a pulverized coal gasifier for methanol production according to claim 1, characterized in that: The specific steps of comparison analysis are as follows: Q1: With time as the horizontal axis and temperature as the vertical axis, a rectangular coordinate system is established, and 10 consecutive sub-unit time responses are randomly selected to provide temperature values ​​teg n and oxygen temperature value tog n , and the continuous 10 sub-unit time responses are fed to the temperature value teg by plotting the curve points n and oxygen temperature value tog n Sketched on a rectangular coordinate system, the reaction supply temperature curve and oxygen temperature curve are obtained accordingly; Q2: According to step Q1, the reaction supply mean temperature Jteg and the oxygen mean temperature Jtog are drawn on a rectangular coordinate system as comparison reference lines Y=Jteg and Y=Jtog of the reaction supply temperature curve and the oxygen temperature curve respectively; Q3: If no more than 6 inflection point values ​​among the 10 inflection point values ​​of the reaction supply temperature curve are on or above the comparison reference line Y=Jteg, a reaction temperature insufficient signal is generated; otherwise, a reaction temperature normal signal is generated; if no more than 6 inflection point values ​​among the 10 inflection point values ​​of the oxygen temperature curve are on or above the comparison reference line Y=Jtog, an oxygen temperature insufficient signal is generated; otherwise, an oxygen temperature normal signal is generated.

4. The optimized coal blending system for a pulverized coal gasifier for methanol production according to claim 3, characterized in that: The specific operation steps of hard correction control analysis and processing are as follows: R1: When the normal reaction temperature signal and the normal oxygen temperature signal are received at the same time, a coal ratio adjustment instruction is generated accordingly; R2: In other cases, the number of inflection points with the same trend and the number of inflection points with different trends in the same sub-unit time of the reaction supply temperature curve and the oxygen temperature curve are counted and calibrated as SL1 and SL2 respectively. If SL1≥SL2 is satisfied, the same gear temperature increase signal is generated. If SL1<SL2 is satisfied, different gear temperature increase signals are generated.

5. The optimized coal blending system for a pulverized coal gasifier for methanol production according to claim 1, characterized in that: The specific steps for optimizing the analysis and processing are as follows: When receiving the coal ratio scheme adjustment instruction, the coal ratio scheme sequence set in the cloud storage unit is retrieved, and a coal ratio scheme with the largest methanol conversion amount in the coal ratio scheme sequence set is selected as a new training scheme, wherein the coal ratio scheme sequence set is used to represent sample data of each scheme of each type of coal ratio summarized by computer and manual calculation. The server generates the optimization analysis instruction again according to the new training scheme, and at the same time generates the text "second optimization analysis is required, and the optimization of the first scheme ratio is completed" and sends it to the display terminal; When the same gear temperature increase signal is received, the reaction temperature and oxygen temperature are simultaneously increased by H gears, and a text message "Secondary optimization analysis is required, primary equipment adjustment optimization is completed" is generated and sent to the display terminal; When receiving the temperature increase signal of different gears, the reaction temperature and oxygen temperature are adjusted in the opposite direction by H gears at the same time, and the text "Secondary optimization analysis is required, and primary equipment adjustment optimization is completed" is generated and sent to the display terminal.

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