Performance evaluation method for production system of coal preparation plant

Abstract

The invention relates to a performance evaluation method for a production system of a coal preparation plant. The method comprises the following steps: carrying out system acquisition on key data in a production process of the coal preparation plant; based on the collected key data, an evaluation index system is established, and the evaluation index system comprises product quantity evaluation, product quality evaluation, energy consumption evaluation, process control evaluation and management evaluation; determining the weight of each evaluation index in the evaluation index system; and combining the score of each evaluation index in the evaluation index system with the corresponding weight to obtain a comprehensive evaluation index score. According to the method, a multi-dimensional evaluation index system including quality, quantity, production consumption, process control, management evaluation and the like is constructed, multiple factors such as product quality, energy consumption, environmental protection and the like are comprehensively considered, and by constructing the multi-dimensional evaluation index system and introducing a scientific weight calculation method, the quality of the product is evaluated. The process effect of the coal preparation plant is evaluated comprehensively, systematically and scientifically, and powerful support is provided for production management and optimization of the coal preparation plant.

Description

Technical Field

[0001] The invention relates to the technical field of coal processing and analysis, and in particular to a method for evaluating the performance of a production system of a coal preparation plant. Background Art

[0002] In the coal processing industry, the quality of the process effect of the coal preparation plant as an important link in coal processing directly affects the quality of coal products and the economic benefits of the enterprise. However, most of the existing coal preparation plant process effect evaluation methods only focus on a single indicator, such as dehydration rate, product external moisture, etc., lacking a comprehensive, systematic and scientific evaluation system. Therefore, it is necessary to develop a new coal preparation plant process effect evaluation method to more accurately evaluate the process effect of the coal preparation plant.

[0003] At present, the research and application of the main process effect evaluation of coal preparation plants are mainly based on national standards and industry standards. The common method is to evaluate according to the evaluation methods and indicators in these standards. For example, "Method for Evaluation of Flotation Process Effect of Coal Preparation Plant" (GB / T 34164-2017) and "Method for Evaluation of Process Effect of Hydraulic Classification Equipment of Coal Preparation Plant" (MT / T 738-1997), etc., these standards provide specific technical guidance and indicator system for the evaluation of process effect of coal preparation plants. However, most of these methods only focus on one or more indicators, and have limitations in the weight determination method, and do not fully evaluate the overall process effect of the coal preparation plant. In summary, in order to further improve the scientificity and reliability of the evaluation method, how to construct a multi-dimensional evaluation index system and introduce a scientific weight calculation method has become a technical problem that needs to be solved urgently by technical personnel in this field. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the deficiencies in the prior art and provide a method for evaluating the performance of a coal preparation plant production system. The method comprehensively considers multiple aspects including product quality, energy consumption, environmental protection, etc., and can comprehensively, systematically and scientifically evaluate the process effects of a coal preparation plant.

[0005] The present invention is achieved through the following technical solutions:

[0006] A method for evaluating the performance of a coal preparation plant production system comprises the following steps:

[0007] S1. Systematically collect key data in the production process of the coal preparation plant;

[0008] S2. Based on the collected key data, establish an evaluation index system, which includes product quantity evaluation, product quality evaluation, energy consumption evaluation, process control evaluation, and management evaluation;

[0009] S3. Determine the weight of each evaluation indicator in the evaluation indicator system;

[0010] S4. Combining the score of each evaluation index in the evaluation index system with its corresponding weight to obtain a comprehensive evaluation index score.

[0011] According to the above technical scheme, preferably, in step S2, the product quantity evaluation includes the raw coal washing rate, the trestle transportation rate and the lump coal yield, the product quality evaluation includes the ash content, calorific value and moisture evaluation of each product coal, the energy consumption evaluation includes the resource consumption of electricity, water, medium and reagents, the process control evaluation includes the control system reliability evaluation and the trestle equipment reliability evaluation, and the management evaluation includes the evaluation results of the maintenance rate, production operation evaluation and attendance rate.

[0012] According to the above technical solution, preferably, in step S2, the control system reliability evaluation includes a washing control reliability evaluation, a compressed air system control reliability evaluation, and a concentrated filter press control system reliability evaluation, and the trestle equipment reliability evaluation is performed according to the different series and parallel forms of each device.

[0013] According to the above technical solution, preferably, in step S3, the weight of each evaluation indicator in the evaluation indicator system is calculated by an entropy weight method, or the weight of each evaluation indicator in the evaluation indicator system is determined according to an expert experience system.

[0014] According to the above technical solution, preferably, the entropy weight method in step S3 includes the following steps:

[0015] S31. Data standardization,

[0016]

[0017] Where X={x1,x2,x3…x n};

[0018] S32. Solve for information entropy,

[0019]

[0020] in If p i =0, then define

[0021] S33. Determine the weights, and calculate the information entropy of each indicator according to the information entropy calculation formula:

[0022]

[0023] The beneficial effects of the present invention are:

[0024] The present invention constructs a multi-dimensional evaluation index system including quality, quantity, production consumption, process control, management evaluation, etc., comprehensively considering multiple factors such as product quality, energy consumption, environmental protection, etc., and combining data analysis and expert evaluation to comprehensively evaluate the process effect of the coal preparation plant, and comprehensively, systematically and scientifically evaluate the process effect of the coal preparation plant;

[0025] The present invention is not only innovative in theory, but also has high application value in practice. By constructing a multi-dimensional evaluation index system and introducing a scientific weight calculation method, this method can comprehensively and systematically evaluate the process effects of a coal preparation plant, providing strong support for the production management and optimization of the coal preparation plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the implementation process of the present invention.

[0027] Figure 2 It is a schematic diagram of the actual effect during the implementation of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and the best embodiment. Based on the embodiments in the invention, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the invention.

[0029] As shown in the figure, the present invention comprises the following steps:

[0030] S1. Systematically collect key data in the production process of the coal preparation plant, including but not limited to raw coal properties, washing process parameters, product coal quality indicators, production consumption and equipment maintenance, etc.

[0031] S2. Based on the collected key data, an evaluation index system is established, and the evaluation index system includes product quantity evaluation, product quality evaluation, energy consumption evaluation, process control evaluation, and management evaluation.

[0032] Among them, product quantity evaluation includes raw coal washing rate, trestle transportation rate and lump coal yield rate. By calculating and analyzing the raw coal washing volume, transportation volume and output of the coal preparation plant, the comprehensive performance of the coal preparation plant in terms of quantity is reflected.

[0033] (1) Washing achievement rate: The washing achievement rate is calculated according to the following formula, where B s is the score of the achievement rate of entry and exit, B r is the amount of raw coal washed, B p is the target raw coal washing amount.

[0034]

[0035] (2) Transportation achievement rate: The trestle transportation achievement rate is calculated according to the following formula, where T s is the transport achievement rate score, T r is the trestle transport volume, T p The planned quantity for trestle transportation.

[0036]

[0037] (3) Lump coal yield: The lump coal yield score is calculated according to the following formula, where R m is the actual lump coal yield of the day, R mp is the planned yield, C ms Score for lump coal production.

[0038]

[0039] The quantity score can be calculated according to the following weights, where N s is the quantity score, ω B ,ω T It is the weighted ratio of the washing achievement rate and the transportation achievement rate.

[0040] N s =ω B *B s +ω T *T s +ω C *C s

[0041] Product quality evaluation includes the evaluation of ash content, calorific value and moisture content of each product coal, and evaluates the quality level of the product coal of the coal preparation plant. There are three types of product coal in the coal washing process, namely, washed small pieces, washed medium pieces and mixed coal.

[0042] (1) Product coal calorific value: Determine the product calorific value according to the method in GB / T213 and record the data. Calculate the product coal calorific value score according to the following formula: s is the heat value of the product coal, C r is the calorific value of the product coal, C p The calorific value of the target product coal.

[0043]

[0044] (2) Product Coal Moisture Content: Determine the product moisture content according to the method in GB / T212, as shown in the following formula. Record the data. ad is the mass fraction of moisture in %, m1 is the mass lost after the test coal is dried, and m is the mass of the test coal.

[0045]

[0046] The moisture score of the product coal is calculated according to the following formula, where W s is the moisture score of the product coal, W r is the moisture content of the product coal, W p is the moisture content of target product coal.

[0047]

[0048] (3) Product coal ash content: Determine the product ash content according to the method in GB / T212, as shown below, and record the data. ad is the mass fraction of ash in %, m1 is the mass of the residue after burning, and m is the mass of the test coal.

[0049]

[0050] The product coal ash score is calculated according to the following formula, where A s A is the product coal ash score, r is the product coal ash content, A p The target product is coal ash.

[0051]

[0052] The quality score can be calculated based on the following weights, where Q s is the quantity score, ω C ,ω W ,ω A The weight ratio of the calorific value score, moisture score and ash score of the product coal. The calorific value scores of washed small pieces, washed medium pieces and mixed coal are respectively: The moisture scores of washed small pieces, washed medium pieces and mixed coal are respectively: These are the ash scores for washed small pieces, washed medium pieces, and mixed coal respectively.

[0053]

[0054] Energy consumption evaluation includes the resource consumption of electricity, water, media, and chemicals. By recording and analyzing the consumption of various resources, the energy consumption level of the coal preparation plant is evaluated.

[0055] (1) Electricity consumption: record the electricity consumption of the coal preparation plant within a certain period of time, and calculate the electricity consumed per ton of coal, and calculate the score according to the national standard in GB51181 Coal Washing Engineering Energy Saving Design Code. The advanced value of level I is above 90 points, the recommended value of level II is above 60 points, and the limit value of level III is below 60 points. The calculation method is shown in the following formula. Where E s is the energy consumption score, E r is the electricity consumed per ton of coal, E piElectricity consumption per ton of coal under different standards.

[0056]

[0057] (2) Water consumption: record the water consumption of the coal preparation plant within a certain period of time, and calculate the amount of water consumed per ton of coal, and calculate the score according to the national standard in GB51181 Coal Washing Engineering Energy Saving Design Code. Among them, the advanced value of level I is above 90 points, the recommended value of level II is above 60 points, and the limit value of level III is below 60 points. The calculation method is shown in the following formula. Among them, WC s Score water consumption, WC r Water power consumed per ton of coal, WC pi The hydraulic power consumption per ton of coal under different standards.

[0058]

[0059] (3) Medium consumption: Record the medium consumption of the coal preparation plant within a certain period of time, and calculate the amount of water consumed per ton of coal, and calculate the score according to the national standard in GB51181 Coal Washing Engineering Energy Saving Design Code. Among them, the advanced value of level I is above 90 points, the recommended value of level II is above 60 points, and the limit value of level III is below 60 points. The calculation method is shown in the following formula. Where M s is the medium consumption score, M r The medium consumed per ton of coal, It is the medium of coal consumption per ton under different standards.

[0060]

[0061] (4) Reagent consumption: record the consumption of anionic and cationic reagents in the coal preparation plant within a certain period of time, and calculate the amount of water consumed per ton of coal, and calculate the score according to the national standard in GB51181 Coal Washing Engineering Energy Saving Design Code. Among them, the advanced value of level I is above 90 points, the recommended value of level II is above 60 points, and the limit value of level III is below 60 points. The calculation method is shown in the following formula. Where P s is the medicine consumption score, P r The reagents consumed for a ton of coal, The reagent consumption per ton of coal under different standards.

[0062]

[0063] The production consumption score can be calculated based on the following weights, where CP s is the production consumption score, ω C ,ω W ,ω A E is the weight ratio of electricity consumption, water consumption, medium loss, and reagent loss. sScore for power consumption, WC s is the energy consumption score, M s is the medium consumption score, P s Score the potion consumption.

[0064] CP s =ω E *E s +ω WC *WC s +ω M *M s +ω P *P s

[0065] Process control evaluation includes control system reliability evaluation and trestle equipment reliability evaluation, among which control system reliability is further divided into washing control reliability, compressed air system control reliability, and concentration filter press control system reliability evaluation. Trestle equipment reliability is evaluated according to the different series and parallel forms of each device. Through process control evaluation, the stability of the production process of the coal preparation plant is evaluated.

[0066] (1) Control system reliability evaluation: The reliability of the control system is comprehensively evaluated from key indicators such as response time, steady-state error and overshoot, such as lump coal ash content, fine coal ash content and underflow concentration control.

[0067] (2) Evaluation of the reliability of trestle equipment: Calculate the reliability of each device and calculate the overall reliability score of the trestle equipment. The reliability of each component is calculated as follows: Among them, λ is the failure rate, μ is the maintenance rate. And it is divided into two calculation methods according to the different series and parallel forms.

[0068] Series connection:

[0069]

[0070] in parallel:

[0071]

[0072] The process control evaluation can be obtained from the following formula, where ω C1 ,ω C2 ,ω C3 ,ω J The weight ratios of power consumption, lump coal ash content, fine coal ash content, underflow concentration control score, and trestle equipment reliability evaluation score; PC s is the process control score, C s1 , C s2 , C s3 is the control score of lump coal ash content, fine coal ash content, and underflow concentration, J s Provide reliability scores for trestle equipment.

[0073] PC s =ω C1 *C s1 +ω C2 *C s2 +ω C3 *C s3 +ω J *J s

[0074] Management evaluation includes the evaluation results of maintenance rate, production operation evaluation and attendance rate. The evaluation results of maintenance rate, production operation evaluation and attendance rate are comprehensively considered to form a management evaluation index to evaluate the management efficiency of the coal preparation plant.

[0075] (1) Maintenance rate: calculated based on the maintenance equipment within a period of time, as shown in the following formula. s is the maintenance rate score, D r is the actual number of equipment under maintenance, D a is the total number of devices, F p To specify the maintenance rate.

[0076]

[0077] (2) Production operation evaluation: It is calculated based on the production operation time within a period of time and is used to evaluate the production time effect over a period of time. It can be calculated according to the following formula: s Score for production operation evaluation, PR r is the actual running time, PR p To specify the running time.

[0078]

[0079] (3) Attendance rate: The attendance rate score is calculated based on the number of people who should be present and the number of people who actually attend over a period of time. As shown in the following formula, AT s For attendance score, AT r is the actual number of people, AT p For the number of people who should be present.

[0080]

[0081] The management evaluation score is derived from the maintenance rate, production operation evaluation and attendance rate. As shown in the following formula, where ω F ,ω PR ,ω AT The weight ratio of maintenance rate, production operation evaluation and attendance rate; MG s Score management evaluation. s is the repair rate score, PR s The production operation evaluation score is ATs Score for attendance.

[0082] MG s =ω F *F s +ω PR *PR s +ω AT *AT s

[0083] S3. Calculate the weight of each evaluation index in the evaluation index system by using the entropy weight method, or determine the weight of each evaluation index in the evaluation index system according to the expert experience system.

[0084] There are two weight calculation methods. One is that experts derive it based on prior knowledge. The system integrates the knowledge and experience of industry experts, can conduct in-depth analysis of the evaluation results, and provide optimization suggestions. The other is calculated based on the entropy weight method. The calculation steps of the entropy weight method are as follows:

[0085] S31. Data standardization,

[0086]

[0087] Where X={x1,x2,x3…x n};

[0088] S32. Solve for information entropy,

[0089]

[0090] in If p i =0, then define

[0091] S33. Determine the weights, and calculate the information entropy of each indicator according to the information entropy calculation formula:

[0092]

[0093] S4. Comprehensively consider the evaluation results of product quantity, product quality, energy consumption, process control and management, and combine the scores of each indicator with their corresponding weights to obtain a comprehensive evaluation index score, which is used to evaluate the process effect of the coal preparation plant.

[0094] The evaluation results of the above five aspects are weighted and summed according to certain weights to form a comprehensive evaluation index. The weight can be adjusted according to the actual situation, and finally the process effect of the coal preparation plant is evaluated according to the comprehensive evaluation index. The calculation formula is as follows. s Represents the comprehensive evaluation score, N s , Q s, CP s 、PC s MG s The scores for quantity evaluation, quality evaluation, production consumption evaluation, process control evaluation, and management evaluation are ω N ,ω Q ,ω CP ,ω PC ,ω MG They are respectively the weight proportions of quantity evaluation, quality evaluation, production consumption evaluation, process control evaluation and management evaluation.

[0095] ALL s =ω N *N s +ω Q *Q s +ω CP *CP s +ω PC *PC s +ω MG *MG s

[0096] The present application provides a method for evaluating the performance of a coal preparation plant production system, which collects various data in the production process of the coal preparation plant, such as raw coal washing rate, clean coal yield, coal slime moisture, control effect, etc., and combines preset evaluation criteria and weights to calculate the scores of each indicator, and finally weighted summary to obtain the comprehensive evaluation score of the coal preparation plant. In order to further improve the scientificity and reliability of the evaluation method, the present invention introduces the entropy weight method to calculate the weights of each evaluation index. In practical applications, users can manually give the weights of each indicator or calculate the weights of each indicator using the entropy weight method according to actual needs, so as to further improve the accuracy and objectivity of the evaluation.

[0097] The present invention is not only innovative in theory, but also has high application value in practice. By constructing a multi-dimensional evaluation index system and introducing a scientific weight calculation method, this method can comprehensively and systematically evaluate the process effects of a coal preparation plant, providing strong support for the production management and optimization of the coal preparation plant.

[0098] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for evaluating the performance of a coal preparation plant production system, characterized in that: The steps include: S1. Systematically collect key data in the production process of the coal preparation plant; S2. Based on the collected key data, establish an evaluation index system, which includes product quantity evaluation, product quality evaluation, energy consumption evaluation, process control evaluation, and management evaluation; S3. Determine the weight of each evaluation indicator in the evaluation indicator system; S4. Combining the score of each evaluation index in the evaluation index system with its corresponding weight to obtain a comprehensive evaluation index score.

2. A method for evaluating the performance of a coal preparation plant production system according to claim 1, characterized in that: In step S2, the product quantity evaluation includes the raw coal washing rate, the trestle transportation rate and the lump coal yield rate.

3. A method for evaluating the performance of a coal preparation plant production system according to claim 2, characterized in that: In step S2, the product quality evaluation includes the evaluation of the ash content, calorific value and moisture content of each product coal.

4. A method for evaluating the performance of a coal preparation plant production system according to claim 3, characterized in that: In step S2, the energy consumption evaluation includes resource consumption of electricity, water, medium, and medicine.

5. A method for evaluating the performance of a coal preparation plant production system according to claim 4, characterized in that: In step S2, the process control evaluation includes control system reliability evaluation and trestle equipment reliability evaluation, wherein: The control system reliability evaluation includes the reliability evaluation of washing control, the reliability evaluation of compressed air system control, and the reliability evaluation of concentrated filter press control system. The reliability evaluation of the trestle equipment is performed according to the different series and parallel connection forms of each device.

6. A method for evaluating the performance of a coal preparation plant production system according to claim 5, characterized in that: In step S2, the management evaluation includes evaluation results of the maintenance rate, production operation evaluation and attendance rate.

7. A method for evaluating the performance of a coal preparation plant production system according to any one of claims 1 to 6, characterized in that: In step S3, the weight of each evaluation index in the evaluation index system is calculated by an entropy weight method, or the weight of each evaluation index in the evaluation index system is determined according to an expert experience system.

8. A method for evaluating the performance of a coal preparation plant production system according to claim 7, characterized in that: The entropy weight method in step S3 includes the following steps: S31. Data standardization, Where X={c1,x2,x3…x n }; S32. Solve for information entropy, in If p i =0, then define S33. Determine the weights, and calculate the information entropy of each indicator according to the information entropy calculation formula:

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