Fly ash recycling intelligent compatibility method and computer readable storage medium

Abstract

The invention belongs to the field of fly ash recycling compatibility, and particularly relates to a fly ash recycling intelligent compatibility method and a computer readable storage medium, and the compatibility method comprises the following steps: S1, classifying fly ash materials into each ash bin; s2, acquiring fly ash temporary storage data of each ash bin; s3, inputting the fly ash temporary storage data into a fly ash compatibility algorithm to generate a compatibility list; s4, outputting the compatibility list to a DCS (Distributed Control System) after the compatibility list is approved; s5, controlling each ash bin to discharge according to the compatibility list by the DCS; s6, materials discharged from the ash bins are conveyed to a mixing bin; and S7, mixing and stirring in the mixing bin, and feeding to a production system. According to the method, the mode that an intelligent compatibility algorithm is connected with the fly ash disposal DCS system is adopted, automatic intelligent compatibility after fly ash enters a site is achieved, the automation degree is improved, the occupational exposure risk caused by too high participation degree of operators in the disposal process is avoided, the method is safer and more convenient, and meanwhile the pollutant dissipation risk and the hazardous waste temporary storage risk are avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of fly ash resource matching, and in particular relates to an intelligent fly ash resource matching method and a computer-readable storage medium. Background Art

[0002] As a major hazardous waste, fly ash from the incineration of domestic waste is produced in large quantities and is growing steadily. With the development of social economy, land resources are becoming increasingly scarce, and traditional landfill technology cannot meet the requirements of environmental development. Fly ash resource technology has received widespread support. In the process of fly ash resource utilization, due to the different regions and processes of waste incineration power plants where fly ash materials come from, there are also large differences in the basic physical and chemical properties of fly ash from domestic waste incineration. When the fly ash resource utilization project disposes of fly ash materials from multiple sources at the same time, changes in the properties of fly ash may cause fluctuations in the resource disposal conditions, which may easily affect the pollutant emissions in the disposal process and the quality of the fly ash treatment products.

[0003] In order to ensure the stability of fly ash resource processing conditions, fly ashes from multiple sources need to be matched. The existing fly ash matching is mainly based on rough matching based on the subjective judgment of technicians, and the quality control of fly ash matching is not rigorous. The matching process is realized by manual feeding. Since fly ash contains a large amount of toxic and harmful substances, such as lead, mercury, dioxins, etc., manual operation has a high risk of occupational exposure. The present invention uses intelligent matching at the front end of the fly ash resource process to keep the physical and chemical properties of mixed fly ash samples from multiple sources within a controllable range. Through intelligent calculation and automatic control of the whole process, it is of great significance to improve system stability and increase production capacity. Summary of the invention

[0004] Based on the above-mentioned shortcomings and deficiencies in the prior art, one of the objects of the present invention is to at least solve one or more of the above-mentioned problems in the prior art. In other words, one of the objects of the present invention is to provide an intelligent matching method for fly ash resource utilization and a computer-readable storage medium that meet one or more of the above-mentioned needs.

[0005] In order to achieve the above-mentioned object of the invention, the present invention adopts the following technical solutions:

[0006] A fly ash resource intelligent matching method comprises the following steps:

[0007] S1. Fly ash materials are classified into various ash silos;

[0008] S2. Obtaining temporary storage data of fly ash in each ash bin;

[0009] S3, inputting the temporarily stored fly ash data into the fly ash compatibility algorithm to generate a compatibility list;

[0010] S4. After the compatibility list is reviewed and approved, the compatibility list is output to the DCS system;

[0011] S5, DCS system controls the discharge of each ash bin according to the matching list;

[0012] S6. The discharge from each ash bin is transported to the mixing bin;

[0013] S7: The materials are mixed and stirred in the mixing bin and then fed into the production system.

[0014] As a preferred solution, in step S1, the fly ash materials are judged in order of priority according to the same furnace type, the same production unit and the same region, and enter the corresponding ash bin.

[0015] As a preferred solution, in step S2, the temporary storage data of fly ash includes fly ash inventory and fly ash multiple detection index data; wherein, the fly ash multiple detection index data includes detection data corresponding to six detection indexes: calcium content, chlorine content, mercury content, dioxin content, lead content and zinc content.

[0016] As a preferred solution, in step S3, the process of generating a compatibility list according to the fly ash compatibility algorithm includes the following steps:

[0017] S31. Variable definition:

[0018] Y i is the fly ash inventory of the i-th ash silo;

[0019] X i is the fly ash material matching amount of the i-th ash bin; where i = 1, 2, ..., m, m is the total number of ash bins;

[0020] a ij is the test data of the jth test index of the fly ash material in the i-th ash bin; wherein j=1, 2, ..., 6, corresponding to calcium content, chlorine content, mercury content, dioxin content, lead content, and zinc content, respectively;

[0021] L j is the limit value of the jth detection index;

[0022] a j is the weighted average of the j-th detection index;

[0023] X total It is the total quantity of fly ash materials;

[0024] L total It is the limit value of the total quantity of fly ash materials;

[0025] S32. Calculation of weighted average:

[0026] For calcium content:

[0027] For chlorine content:

[0028] For mercury content:

[0029] For dioxin content:

[0030] For lead content:

[0031] Regarding zinc content:

[0032] S33, constraints;

[0033] For calcium content: a1≤L1;

[0034] For chlorine content: a2≤L2;

[0035] For mercury content: a3≤L3;

[0036] For dioxin content: a4≤L4;

[0037] For lead content: a5≤L5;

[0038] For zinc content: a6≤L6;

[0039] Total amount of fly ash materials: 0.8L total ≤X total ≤L total ;

[0040] S34, compatibility calculation model;

[0041]

[0042]

[0043] 0.8L total ≤X total ≤L total ;

[0044] 0<X i <Y i ;

[0045] S35. Output the fly ash material matching amounts of all ash bins to obtain a matching list.

[0046] As a preferred solution, in step S3, in the process of generating the compatibility list, the fly ash material in the ash bin with the smallest fly ash inventory is preferentially used as the starting compatibility raw material, and priority weighted average compatibility is performed in turn according to the conditions of satisfying the limit values ​​of calcium, chlorine, mercury, dioxin, lead and zinc.

[0047] As a preferred solution, the fly ash resource intelligent matching method also includes the following steps:

[0048] S8. Obtain abnormal data of the production system;

[0049] S9. Correct the fly ash matching algorithm according to the abnormal data and return to step S3.

[0050] As a preferred solution, the step S8 specifically includes the following steps:

[0051] S81. Collect control indicators of the production system; control indicators include mercury content in pollutant emissions and chlorine content, dioxin content, lead content, and zinc content in products;

[0052] S82, determining whether each control indicator exceeds the corresponding preset standard threshold; if so, proceeding to step S83; if not, storing the compatibility list;

[0053] S83. Obtain target control indicators that exceed preset standard thresholds.

[0054] As a preferred solution, in step S9, the limit value of the detection index of the fly ash material corresponding to the target control index is lowered by 5 to 20%.

[0055] The present invention also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed on a computer, the computer executes the intelligent matching method for fly ash resource utilization as described in any of the above schemes.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] The present invention adopts an intelligent fly ash matching algorithm to realize automatic intelligent matching after the fly ash enters the site, thereby improving the degree of automation, avoiding the occupational exposure risk caused by excessive operator participation in the disposal process, being safer and more convenient, and at the same time avoiding the risk of pollutant escape and temporary storage of hazardous waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow chart of the intelligent matching method for fly ash resource utilization according to Example 1 of the present invention. DETAILED DESCRIPTION

[0059] In order to more clearly illustrate the embodiments of the present invention, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other accompanying drawings and other implementation methods can be obtained based on these accompanying drawings without creative work.

[0060] Embodiment 1:

[0061] like Figure 1As shown, the fly ash resource intelligent matching method of this embodiment includes the following steps:

[0062] S1. Fly ash materials are classified and put into the warehouse;

[0063] Classify the fly ash materials and then put them into different ash bins; classify them according to the principle of homology classification. Specifically, the fly ash materials are judged in the order of priority of the same furnace type, the same production unit, and the same region, and enter the corresponding ash bins; the number of ash bins can be determined according to actual needs;

[0064] S2. Obtaining temporary storage data of fly ash in each ash bin;

[0065] Specifically, the fly ash temporary storage data includes fly ash inventory and multiple fly ash testing index data;

[0066] Each ash bin in this embodiment is equipped with an automatic weighing function for weighing the fly ash inventory;

[0067] The fly ash multiple detection index data of the present embodiment include detection data corresponding to six detection indexes: calcium content, chlorine content, mercury content, dioxin content, lead content, and zinc content.

[0068] S3, inputting the temporarily stored fly ash data into the fly ash compatibility algorithm to generate a compatibility list;

[0069] Specifically, the process of generating a compatibility list according to the fly ash compatibility algorithm in this embodiment includes the following steps:

[0070] S31. Variable definition:

[0071] Y i is the fly ash inventory of the i-th ash silo;

[0072] X i is the fly ash material matching amount of the i-th ash bin; where i = 1, 2, ..., m, m is the total number of ash bins;

[0073] a ij is the test data of the jth test index of the fly ash material in the i-th ash bin; wherein j=1, 2, ..., 6, corresponding to calcium content, chlorine content, mercury content, dioxin content, lead content, and zinc content, respectively;

[0074] L j is the limit value of the jth detection index;

[0075] a j is the weighted average of the j-th detection index;

[0076] X total It is the total quantity of fly ash materials;

[0077] Ltotal It is the limit value of the total quantity of fly ash materials;

[0078] S32. Calculation of weighted average:

[0079] For calcium content:

[0080] For chlorine content:

[0081] For mercury content:

[0082] For dioxin content:

[0083] For lead content:

[0084] Regarding zinc content:

[0085] S33, constraints;

[0086] For calcium content: a1≤L1;

[0087] For chlorine content: a2≤L2;

[0088] For mercury content: a3≤L3;

[0089] For dioxin content: a4≤L4;

[0090] For lead content: a5≤L5;

[0091] For zinc content: a6≤L6;

[0092] Total amount of fly ash materials: 0.8L total ≤X total ≤L total ;

[0093] S34, compatibility calculation model;

[0094]

[0095] 0.8L total ≤X total ≤L total ;

[0096] 0<X i <Y i ;

[0097] S35. Output the fly ash material matching amounts of all ash bins to obtain a matching list.

[0098] Among them, in the process of generating the compatibility list, the fly ash material in the ash silo with the least fly ash inventory is preferentially used as the starting compatibility raw material, and the priority weighted average compatibility is carried out in turn according to the conditions that meet the limit values ​​of calcium, chlorine, mercury, dioxin, lead and zinc.

[0099] S4. After the compatibility list is reviewed and approved, the compatibility list is output to the DCS system;

[0100] S5, DCS system controls the discharge of each ash bin according to the matching list;

[0101] S6. The discharge from each ash bin is transported to the mixing bin;

[0102] S7, the mixing bin is mixed and stirred and then fed into the production system;

[0103] S8. Obtain abnormal data of the production system;

[0104] The above process of obtaining abnormal data of the production system specifically includes the following steps:

[0105] S81. Collect control indicators of the production system; control indicators include mercury content in pollutant emissions and chlorine content, dioxin content, lead content, and zinc content in products;

[0106] S82, determine whether each control indicator exceeds the corresponding preset standard threshold; if so, go to step S83; if not, store the compatibility list and archive it;

[0107] S83. Obtain target control indicators that exceed preset standard thresholds.

[0108] Specifically, for calcium, as a reference constraint for dosing in the process stage, no abnormal feedback data is generated;

[0109] For mercury, when the mercury and its compounds in flue gas emissions are greater than 0.05 mg / Nm 3 (standard state, dry basis, 11% oxygen content), feedback abnormal data, and the corresponding compatibility limit of mercury in the compatibility is reduced by 5-20% to correct the compatibility plan;

[0110] For dioxins, when the dioxin content in the fly ash treatment product is greater than 50ng-TEQ / kg, the abnormal data will be fed back, and the limit value of dioxins in the corresponding compatibility will be reduced by 5-20% to correct the compatibility plan. The specific reduction percentage can be determined according to the actual application situation;

[0111] For chlorine, when the chloride ion concentration in the fly ash treatment product is greater than 1%, abnormal data will be fed back, and the limit value of chlorine in the corresponding compatibility will be reduced by 5-20% to correct the compatibility plan. The specific reduction percentage can be determined according to the actual application situation;

[0112] For lead, when the lead ion concentration in the fly ash treatment product is greater than 1.0 mg / L, abnormal data will be fed back, and the lead limit in the corresponding compatibility will be reduced by 5-20% to correct the compatibility plan. The specific reduction percentage can be determined according to the actual application situation;

[0113] For zinc, when the zinc ion concentration in the fly ash treatment product is greater than 2.0 mg / L, abnormal data will be fed back and the zinc limit in the corresponding combination will be reduced by 5 to 20% to correct the combination plan. The specific reduction percentage can be determined based on actual application conditions.

[0114] S9. Correct the fly ash matching algorithm according to the abnormal data and return to step S3.

[0115] The above correction to the fly ash matching algorithm is specifically as follows: the limit value of the detection index of the fly ash material corresponding to the target control index is lowered by 5 to 20%.

[0116] The computer-readable storage medium of this embodiment stores instructions. When the instructions are executed on a computer, the computer executes the intelligent matching method for fly ash resource utilization to realize intelligent matching operation.

[0117] The above fly ash resource intelligent matching method is applied to actual cases, as follows:

[0118] According to the principle of homology classification, the existing fly ash is divided into 5 ash silos for temporary storage; the fly ash is tested and the data is entered into the database;

[0119] According to the process analysis requirements, the constraints are determined and the weighted average limit range of the compatibility is:

[0120] Calcium ≤8000mg / L;

[0121] Chlorine ≤ 230000mg / kg;

[0122] Mercury ≤ 20 mg / kg;

[0123] Dioxin ≤2000ng-TEQ / kg;

[0124] Lead ≤12mg / L;

[0125] Zinc ≤ 3 mg / L;

[0126] The total weight of materials is required to be 100 tons;

[0127] From the database, the test results of five types of stock fly ash are shown in Table 1;

[0128] Table 1 Test results of stock fly ash and compatibility results

[0129]

[0130] After weighted average matching according to the constraints, the value of the "quantity" column is obtained, and the corresponding sample and quantity matching list is output to form a matching list;

[0131] After the compatibility list is confirmed, it is linked to the DCS system to perform weighing and discharging operations, discharging fly ash samples of corresponding weight into the mixing bin;

[0132] The mixed mixture in the mixing bin is output to the production system for production;

[0133] Collect and provide feedback on production system data.

[0134] Embodiment 2:

[0135] The difference between the formulation method of this embodiment and that of embodiment 1 is that: when the test indicators of most samples encountered are generally high, and it is difficult to meet the weighted average range by formulating 100 tons according to the quantity limit, the total quantity can be appropriately reduced, but the total quantity should not be less than 80 tons;

[0136] For other steps, please refer to Example 1.

[0137] The above description is only a detailed description of the preferred embodiments and principles of the present invention. For ordinary technicians in this field, according to the ideas provided by the present invention, there will be changes in the specific implementation methods, and these changes should also be regarded as the protection scope of the present invention.

Claims

1. An intelligent method for recycling fly ash resources, characterized in that: The following steps are involved: S1. Fly ash materials are classified into various ash silos; S2. Obtaining temporary storage data of fly ash in each ash bin; S3, inputting the temporarily stored fly ash data into the fly ash compatibility algorithm to generate a compatibility list; S4. After the compatibility list is reviewed and approved, the compatibility list is output to the DCS system; S5, DCS system controls the discharge of each ash bin according to the matching list; S6. The discharge from each ash bin is transported to the mixing bin; S7: The materials are mixed and stirred in the mixing bin and then fed into the production system.

2. The fly ash resource intelligent matching method according to claim 1 is characterized in that: In step S1, the fly ash materials are judged in turn according to the priority order of the same furnace type, the same production unit, and the same region, and enter the corresponding ash bin.

3. The fly ash resource intelligent matching method according to claim 1 is characterized in that: In step S2, the temporary storage data of fly ash includes fly ash inventory and fly ash multiple detection index data; wherein the fly ash multiple detection index data includes detection data corresponding to six detection indexes: calcium content, chlorine content, mercury content, dioxin content, lead content, and zinc content.

4. The fly ash resource intelligent matching method according to claim 3 is characterized in that: In step S3, the process of generating a compatibility list according to the fly ash compatibility algorithm includes the following steps: S31. Variable definition: Y i is the fly ash inventory of the i-th ash silo; X i is the fly ash material matching amount of the i-th ash bin; where i = 1, 2, ..., m, m is the total number of ash bins; a ij is the test data of the jth test index of the fly ash material in the i-th ash bin; wherein j=1, 2, ..., 6, corresponding to calcium content, chlorine content, mercury content, dioxin content, lead content, and zinc content, respectively; L j is the limit value of the jth detection index; a j is the weighted average of the j-th detection index; X total It is the total quantity of fly ash materials; L total It is the limit value of the total quantity of fly ash materials; S32. Calculation of weighted average: For calcium content: For chlorine content: For mercury content: For dioxin content: For lead content: Regarding zinc content: S33, constraints; For calcium content: a1≤L1; For chlorine content: a2≤L2; For mercury content: a3≤L3; For dioxin content: a4≤L4; For lead content: a5≤L5; For zinc content: a6≤L6; Total amount of fly ash materials: 0.8L total ≤X total ≤L total ; S34, compatibility calculation model; 0.8L total ≤X total ≤L total ; 0<X i <And i ; S35. Output the fly ash material matching amounts of all ash bins to obtain a matching list.

5. The fly ash resource intelligent matching method according to claim 4 is characterized in that: In step S3, in the process of generating the compatibility list, the fly ash material in the ash bin with the smallest fly ash inventory is preferentially used as the starting compatibility raw material, and priority weighted average compatibility is performed in turn according to the conditions of satisfying the limit values ​​of calcium, chlorine, mercury, dioxin, lead and zinc.

6. The fly ash resource intelligent compatibility method according to any one of claims 1 to 5, characterized in that: The following steps are also included: S8. Obtain abnormal data of the production system; S9, modify the fly ash matching algorithm according to the abnormal data, and return to step S3.

7. The fly ash resource intelligent matching method according to claim 6 is characterized in that: The step S8 specifically includes the following steps: S81. Collect control indicators of the production system; control indicators include mercury content in pollutant emissions and chlorine content, dioxin content, lead content, and zinc content in products; S82, determining whether each control indicator exceeds the corresponding preset standard threshold; if so, proceeding to step S83; if not, storing the compatibility list; S83. Obtain target control indicators that exceed preset standard thresholds.

8. The fly ash resource intelligent matching method according to claim 7 is characterized in that: In the step S9, the limit value of the detection index of the fly ash material corresponding to the target control index is lowered by 5-20%.

9. A computer-readable storage medium, wherein instructions are stored in the computer-readable storage medium, characterized in that: When the instructions are executed on a computer, the computer is enabled to execute the intelligent matching method for fly ash resource utilization as described in any one of claims 1 to 8.

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