阅读说明：本技术 一种基于太阳能orc的药材干燥装置及优化决策方法 (Solar ORC-based medicinal material drying device and optimization decision method ) 是由 张娜 周慕川 王庆港 谭思琪 李亮 马淼 刘敏 谭思雯 徐苑 于 2021-08-23 设计创作，主要内容包括：本发明公开了一种基于太阳能ORC的药材干燥装置及优化决策方法,包括太阳能ORC系统、热量交换系统、真空冷冻干燥系统、喷雾干燥系统和控制系统；其中,所述太阳能ORC系统的透平机与所述热量交换系统的压缩机通过连杆相连,所述真空冷冻干燥系统通过风管并联在蒸发器两端,所述喷雾干燥系统通过风管并联在第二冷凝器两端,所述控制系统分别与其他系统电性连接。本发明采用太阳能作为ORC热源,太阳能具有环保、清洁、价廉、可再生等优势；同时ORC输出的膨胀功驱动压缩机运行,提高了能量转化效率；还将环保、效率及成本等因素综合考虑,依据遗传算法,提出了一种多层级指标综合优化决策方法,为系统调试、运行提供参考。(The invention discloses a solar ORC-based medicinal material drying device and an optimization decision method, wherein the solar ORC-based medicinal material drying device comprises a solar ORC system, a heat exchange system, a vacuum freeze drying system, a spray drying system and a control system; the turbine of the solar ORC system is connected with the compressor of the heat exchange system through a connecting rod, the vacuum freeze drying system is connected with two ends of the evaporator in parallel through air pipes, the spray drying system is connected with two ends of the second condenser in parallel through air pipes, and the control system is electrically connected with other systems respectively. The invention adopts solar energy as ORC heat source, and the solar energy has the advantages of environmental protection, cleanness, low price, renewability and the like; meanwhile, the expansion work output by the ORC drives the compressor to operate, so that the energy conversion efficiency is improved; and factors such as environmental protection, efficiency and cost are comprehensively considered, a multi-level index comprehensive optimization decision method is provided according to a genetic algorithm, and reference is provided for system debugging and operation.)

1. A solar ORC-based medicinal material drying device is characterized by comprising a solar ORC system, a heat exchange system, a vacuum freeze drying system, a spray drying system and a control system;

the solar ORC system comprises a solar heat collector (1), a first working medium pump (2), a heat exchanger (3), a second working medium pump (4), a first condenser (5) and a turbine (6) which are sequentially connected in series to form a closed loop, wherein the first working medium pump (2) is connected between the heat exchanger (3) and the solar heat collector (1);

the heat exchange system comprises a compressor (8), an evaporator (9), an expansion valve (11) and a second condenser (10) which are sequentially connected in series to form a closed loop;

wherein the turbine (6) of the solar ORC system is connected with the compressor (8) of the heat exchange system through a connecting rod (7); the vacuum freeze drying system is connected in parallel with two ends of the evaporator (9) through air pipes; the spray drying system is connected in parallel with two ends of the second condenser (10) through air pipes;

the control system is respectively and electrically connected with the solar ORC system, the heat exchange system, the vacuum freeze drying system and the spray drying system.

2. The solar ORC-based medicinal material drying device according to claim 1, wherein the vacuum freeze drying system comprises a vacuum freeze drying chamber (22), a first dehumidifying device (19), a first fan (16), a third three-way valve (14), a first three-way valve (12) and a first air volume adjusting valve (18) which are connected in series by air pipes to form a closed loop;

wherein, the vacuum freeze drying chamber (22) is internally provided with a multilayer clapboard (24), a first thermometer (28) and a first pressure gauge (29), and the vacuum freeze drying chamber (22) is connected with a vacuum pump (27) through a vacuum pump valve (23).

3. The solar ORC-based medicinal material drying device according to claim 2, wherein the spray drying system comprises a spray drying chamber (25), a second dehumidifying device (21), a second fan (17), a fourth three-way valve (15), a second three-way valve (13) and a second air volume adjusting valve (20) which are connected in series by air pipes to form a closed loop;

wherein, the spray drying chamber (25) is internally provided with an atomizing nozzle (26), a second thermometer (30) and a second pressure gauge (31).

4. The solar ORC based herbal drying apparatus according to claim 3, wherein the first three-way valve (12) is connected to the second three-way valve (13) via a wind pipe; and the third three-way valve (14) is connected with the fourth three-way valve (15) through an air pipe.

5. A multi-level index comprehensive optimization decision method is applied to the solar ORC-based medicinal material drying device as claimed in any one of claims 1 to 4, and comprises the following steps:

S₁: initializing a population, and inputting a decision variable and an upper limit and a lower limit of the change of a target function; randomly generating initial parent individuals in a specified range, substituting the initial parent individuals into an objective function to solve childrenGeneration;

S₂: the method comprises the steps of multi-level index fuzzy decision sorting, wherein evaluation indexes in a sub-generation scheme are classified according to attributes, a scheme weight matrix is constructed according to the principle that the index value is smaller and more optimal or larger and more optimal, a level index weight matrix is constructed according to the principle of index importance, semantic score distribution and normalization processing are further carried out, a fuzzy decision result is obtained, individuals with the largest calculated value are clarified and sorted to be 1, and the step S is repeated after the individuals sorted to be 1 are discharged₂Sorting the remaining individuals;

S₃: selecting competitive bidding competition, selecting individuals to enter a mating pool, and screening according to the principle that the ranking value is higher;

S₄: genetic manipulation, namely generating new individuals after crossing and mutation;

S₅: repetition of S₂Multi-level index fuzzy decision sorting;

S₆: generating a new population, eliminating the individuals without superiority, and maintaining the population quantity to be certain;

S₇: continuous iteration S₃-S₆Stopping until the evolution times are reached, thereby completing the evolution and outputting excellent individuals to obtain an optimization result;

S₈: and feeding back the final optimization result to the control system.

6. The comprehensive optimization decision-making method for the multi-level indexes as claimed in claim 5, wherein the decision variables of the device comprise drying temperature, drying pressure; the target function comprises at least one of ORC working medium combustible toxicity, ORC working medium atmospheric retention time, ORC working medium global warming potential, solar energy conversion efficiency, solar ORC system net output power, solar ORC system combined heat exchange system total heat efficiency, vacuum freeze drying system drying quality efficiency, vacuum freeze drying system environment efficiency, spray drying system drying quality efficiency, spray drying system environment efficiency, solar ORC medicinal material drying device investment cost and solar ORC medicinal material drying device investment recovery period.

7. The method according to claim 5, wherein in the multi-level index fuzzy decision sorting process, the total number of populations is N, the number of populations in each group is M, and all populations are divided into K₁Group, residual N-MK₁Each group of populations is randomly distributed;

wherein, N, M, K₁All can be taken as positive integers, and M is less than 10.

8. The comprehensive optimization decision method for the multi-level indexes according to claim 7, wherein when the multi-level indexes are sorted by fuzzy decision, the method specifically comprises the following steps: a. sorting the populations in each group according to a fuzzy decision method, determining the optimal solution of each group, and obtaining K after the first grouping₁(ii) an individual population; b. with the remainder of N-MK₁Further screening of the individual populations together, then the composition K₁+N-MK₁(ii) an individual population; c. randomly distributing M populations in each group into K₂Group, remainder K₁+N-MK₁-MK₂Repeating the steps a, b and c until the number of the screened populations is less than M, dividing the rest populations into 1 group, selecting the only optimal solution, ordering to 1, then continuing iterative ordering of the rest N-1 populations until the N populations are ordered to 1, 2, 3 … … N, and selecting the population before selectionEnabling the individual population to enter a mating pool;

wherein, K₂Is a positive integer which can be taken.

Technical Field

The invention relates to the technical field of drying, in particular to a solar ORC-based medicinal material drying device and an optimization decision method.

Background

With the rapid development of society, people's material life has been greatly satisfied, also paid more attention to aspects such as health simultaneously. The traditional Chinese medicine is used as a treasure of five thousand years of traditional culture of Chinese nationality, is a crystal for hundreds of thousands of years of medical practice, and is also essence of world excellent culture. The traditional Chinese medicine is widely concerned and discussed due to the advantages of greenness, naturalness, safety, environmental protection, small side effect and the like, the demand on the market is continuously increased, and the processing of the traditional Chinese medicine after picking becomes more important. Drying is a main means for ensuring the quality of the traditional Chinese medicinal materials, and the drying mode is different according to the types and properties of the medicinal materials, wherein the more common drying methods comprise a vacuum freeze drying method and a spray drying method.

The vacuum freeze-drying method has the characteristics of low temperature, oxygen deficiency, low pressure, quick drying, quick rehydration of products and the like, the color, the fragrance and the taste of the products are best maintained, but a set of vacuum system and a low-temperature system are required to be configured due to the fact that the vacuum freeze-drying method needs vacuum and low-temperature conditions, and the investment cost and the operation cost are high; the spray drying method has the advantages of less drying steps, short time, more thoroughness and high quality, but has low heat efficiency and higher heat consumption. Therefore, the current drying device changes the air supply temperature by adopting electric heating or electric refrigeration, and then the mode of changing the temperature environment in the drying chamber consumes more energy, which conflicts with the target of 'carbon peak reaching and carbon neutralization' required at present. Meanwhile, for the system, the comprehensive consideration of factors such as environment (such as working medium toxicity, global warming potential value and the like), efficiency, cost and the like is lacked, and a suitable comprehensive scheme is difficult to find in the aspects of equipment setting, parameter setting, environmental influence, investment recovery and the like.

Disclosure of Invention

Aiming at the problems in the prior art, the invention provides a solar ORC-based medicinal material drying device and an optimization decision method, wherein the drying device can drive a compressor to operate through a solar ORC system, so that a working medium is evaporated, condensed and exchanges heat with air, the function of changing the temperature environment of a drying chamber is realized, and the energy conversion efficiency is improved; according to the optimization decision method of the drying device, a proper comprehensive scheme is obtained by comprehensively considering multiple factors through numerical simulation, and reference is provided for scheme selection.

The invention realizes the purpose through the following technical scheme: a solar ORC-based medicinal material drying device comprises a solar ORC system, a heat exchange system, a vacuum freeze drying system, a spray drying system and a control system;

the solar ORC system comprises a solar heat collector, a first working medium pump, a heat exchanger, a second working medium pump, a first condenser and a turbine which are sequentially connected in series to form a closed loop, wherein the first working medium pump is connected between the heat exchanger and the solar heat collector;

the heat exchange system comprises a compressor, an evaporator, an expansion valve and a second condenser which are sequentially connected in series to form a closed loop;

wherein the turbine of the solar ORC system is connected with the compressor of the heat exchange system through a connecting rod; the vacuum freeze drying system is connected in parallel with two ends of the evaporator through air pipes; the spray drying system is connected in parallel with two ends of the second condenser through air pipes;

the control system is respectively and electrically connected with the solar ORC system, the heat exchange system, the vacuum freeze drying system and the spray drying system.

Further, the vacuum freeze drying system comprises a vacuum freeze drying chamber, a first dehumidifying device, a first fan, a third three-way valve, a first three-way valve and a first air volume adjusting valve which are sequentially connected in series through air pipes to form a closed loop;

the vacuum freeze drying chamber is internally provided with a multilayer partition plate, a first thermometer and a first pressure gauge, and the vacuum freeze drying chamber is connected with a vacuum pump through a vacuum pump valve.

Further, the spray drying system comprises a spray drying chamber, a second dehumidifying device, a second fan, a fourth three-way valve, a second three-way valve and a second air volume adjusting valve which are sequentially connected in series through air pipes to form a closed loop;

wherein, the spray drying chamber is internally provided with an atomizing nozzle, a second thermometer and a second pressure gauge.

Further, the first three-way valve is connected with the second three-way valve through an air pipe; and the third three-way valve is connected with the fourth three-way valve through an air pipe.

The invention also provides a multi-level index comprehensive optimization decision method, which is applied to the solar ORC-based medicinal material drying device and comprises the following steps:

S₁: initializing a population, and inputting decision variables such as drying temperature and drying pressure and target function change upper and lower limits such as solar energy conversion efficiency; randomly generating initial parent individuals in a specified range, and substituting the initial parent individuals into an objective function to solve offspring;

S₂: multi-level index fuzzy decision sorting, and dividing evaluation indexes in a sub-generation scheme into layers according to attributesLevel, constructing a scheme weight matrix according to the principle that index values are smaller and more optimal or larger and more optimal, constructing a level index weight matrix according to the principle of index importance, further performing semantic score distribution and normalization processing, obtaining a fuzzy decision result, determining the individuals with the largest calculated value and ordering the individuals into 1, and repeating the step S after discharging the individuals with the ordering of 1₂Sorting the remaining individuals;

wherein, each index of the device can be divided into:

a first level: ORC working medium combustible toxicity, ORC working medium atmospheric retention time and ORC working medium global warming potential;

and a second level: the solar conversion efficiency, the net output work of the solar ORC system and the total thermal efficiency of the solar ORC system combined heat exchange system;

a third level: the method comprises the steps of performing vacuum freeze drying on the raw materials, wherein the vacuum freeze drying system has drying quality efficiency, vacuum freeze drying system environmental efficiency, spray drying system drying quality efficiency, spray drying system environmental efficiency, solar ORC (organic Rankine cycle) medicinal material drying device investment cost and solar ORC medicinal material drying device investment recovery period;

S₃: selecting competitive bidding competition, selecting individuals to enter a mating pool, and screening according to the principle that the ranking value is higher;

S₄: genetic manipulation, namely generating new individuals after crossing and mutation;

S₅: repetition of S₂Multi-level index fuzzy decision sorting;

S₆: generating a new population, eliminating the individuals without superiority, and maintaining the population quantity to be certain;

S₇: continuous iteration S₃-S₆Stopping until the evolution times are reached, thereby completing the evolution and outputting excellent individuals to obtain an optimization result;

S₈: and feeding back the final optimization result to the control system.

Further, in the multi-level index fuzzy decision sorting process, the total number of populations is set to be N, the number of populations in each group is set to be M, and all populations are divided into K₁Group, residual N-MK₁Each group of populations is randomly distributed;

wherein, N, M, K₁All can be taken as positive integers, and M is less than 10.

Further, when the multi-level index fuzzy decision sorting is performed, the method specifically comprises the following steps: a. sorting the populations in each group according to a fuzzy decision method, determining the optimal solution of each group, and obtaining K after the first grouping₁(ii) an individual population; b. with the remainder of N-MK₁Further screening of the individual populations together, then the composition K₁+N-MK₁(ii) an individual population; c. randomly distributing M populations in each group into K₂Group, remainder K₁+N-MK₁-MK₂Repeating the steps a, b and c until the number of the screened populations is less than M, dividing the rest populations into 1 group, selecting the only optimal solution, ordering to 1, then continuing iterative ordering of the rest N-1 populations until the N populations are ordered to 1, 2, 3 … … N, and selecting the population before selectionEnabling the individual population to enter a mating pool;

wherein, K₂Is a positive integer which can be taken.

The invention has the beneficial effects that: the drying device utilizes solar energy to provide energy for the ORC system, drives a compressor in a heat exchange system to operate, enables working media to be evaporated and condensed, and simultaneously exchanges heat with air, so that the temperature environment of a drying chamber is changed, and the energy conversion efficiency is improved; the heat exchange system connects the vacuum freeze drying device with the spray drying device, so that equipment and pipelines are saved, and the system is simplified; meanwhile, the multi-level index comprehensive optimization decision method constructed by the device comprehensively considers factors of environment, efficiency and cost, and calculates a proper comprehensive scheme through optimization, thereby realizing scientific and reasonable evaluation of the feasibility of the operation of the device.

Drawings

FIG. 1 is a schematic diagram of the apparatus of the present invention;

FIG. 2 is a schematic flow chart of an optimization decision method according to the present invention;

in the figure: 1. the solar energy heat collector, 2, a first working medium pump, 3, a heat exchanger, 4, a second working medium pump, 5, a first condenser, 6, a turbine, 7, a connecting rod, 8, a compressor, 9, an evaporator, 10, a second condenser, 11, an expansion valve, 12, a first three-way valve, 13, a second three-way valve, 14, a third three-way valve, 15, a fourth three-way valve, 16, a first fan, 17, a second fan, 18, a first air volume adjusting valve, 19, a first dehumidifying device, 20, a second air volume adjusting valve, 21, a second dehumidifying device, 22, a vacuum freeze drying chamber, 23, a vacuum pump valve, 24, a multilayer partition board, 25, a spray drying chamber, 26, an atomizing nozzle, 27, a vacuum pump, 28, a first thermometer, 29, a first pressure gauge, 30, a second thermometer, 31 and a second pressure gauge.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, a solar ORC-based medicinal material drying device includes a solar ORC system, a heat exchange system, a vacuum freeze-drying system, a spray-drying system and a control system (not shown in the figure).

The solar ORC system comprises a solar heat collector 1, a first working medium pump 2, a heat exchanger 3, a second working medium pump 4, a first condenser 5 and a turbine 6 which are sequentially connected in series to form a closed loop, wherein the first working medium pump 2 is connected between the heat exchanger 3 and the solar heat collector 1.

The heat exchange system comprises a compressor 8, an evaporator 9, an expansion valve 11 and a second condenser 10 which are sequentially connected in series to form a closed loop.

Wherein the turbine 6 of the solar ORC system is connected to the compressor 8 of the heat exchange system by a connecting rod 7; the vacuum freeze drying system is connected in parallel at two ends of the evaporator 9 through air pipes; the spray drying system is connected in parallel at two ends of the second condenser 10 through air pipes.

The control system is respectively and electrically connected with the solar ORC system, the heat exchange system, the vacuum freeze drying system and the spray drying system.

The vacuum freeze drying system comprises a vacuum freeze drying chamber 22, a first dehumidifying device 19, a first fan 16, a third three-way valve 14, a first three-way valve 12 and a first air volume adjusting valve 18 which are sequentially connected in series through air pipes to form a closed loop.

The vacuum freeze drying chamber 22 is internally provided with a multilayer partition plate 24, a first thermometer 28 and a first pressure gauge 29, and the vacuum freeze drying chamber 22 is connected with a vacuum pump 27 through a vacuum pump valve 23.

The spray drying system comprises a spray drying chamber 25, a second dehumidifying device 21, a second fan 17, a fourth three-way valve 15, a second three-way valve 13 and a second air volume adjusting valve 20 which are sequentially connected in series through air pipes to form a closed loop.

Wherein, the spray drying chamber 25 is internally provided with an atomizing nozzle 26, a second thermometer 30 and a second pressure gauge 31.

The first three-way valve 12 is connected with the second three-way valve 13 through an air pipe; the third three-way valve 14 is connected with the fourth three-way valve 15 through an air pipe.

The working process and principle are as follows: the solar heat collector 1 absorbs solar radiation energy and converts the solar radiation energy into heat which is transmitted to the solar working medium, the solar working medium circulates in the pipeline through the first working medium pump 2 and exchanges heat with ORC working medium in the other loop in the heat exchanger 3, the ORC working medium absorbs the heat to generate steam with certain pressure and temperature, and the steam enters the turbine 6 to do work through mechanical expansion so as to drive the connecting rod 7 to rotate. The steam discharged from the turbine 6 is condensed in the first condenser 5 to release heat, and the condensed steam is returned to the heat exchanger 3 for circulation under the action of the second working medium pump 4 after being condensed into liquid.

The rotation of the connecting rod 7 drives the compressor 8 to operate, so that the heat pump working medium is compressed to a high-temperature high-pressure state, the heat pump working medium passes through the second condenser 10 to exchange heat with air in an air pipe of the spray drying system, is condensed into high-pressure normal-temperature liquid, then passes through the expansion valve 11 to reduce the pressure and the temperature, is sent into the evaporator 9 to exchange heat with the air in the air pipe of the vacuum freeze drying system, absorbs heat and evaporates to become steam, and then returns to the compressor 8 to circulate.

Air in the spray drying system exchanges heat with the second condenser 10 through the air pipe, the temperature rises, and then high-temperature air enters the spray drying chamber 25 after sequentially passing through the second three-way valve 13 and the second air volume adjusting valve 20. The liquid medicine is atomized and sprayed into the room through the atomizing nozzle 26, and exchanges heat with high-temperature air entering the room for drying. The air after heat exchange sequentially passes through the second dehumidifier 21, the second fan 17 and the fourth three-way valve 15, and then returns to the second condenser 10 again for continuous heat exchange and continuous circulation. The second thermometer 30 and the second pressure gauge 31 display the drying temperature and the drying pressure in the spray drying chamber 25 in real time, and the second air volume adjusting valve 20 adjusts the air volume according to the temperature and the pressure.

Air in the vacuum freeze drying system exchanges heat with the evaporator 9 through the air pipe, the temperature is reduced, low-temperature air enters the vacuum freeze drying chamber 22 after sequentially passing through the first three-way valve 12 and the first air volume adjusting valve 18, low temperature is transmitted into the multilayer partition plate 24 to pre-freeze medicinal materials after the radiation plates surrounding the periphery of the multilayer partition plate 24 are contacted with the low-temperature air, the first thermometer 28 and the first pressure gauge 29 display the drying temperature and the drying pressure in the multilayer partition plate 24 in real time, and the first air volume adjusting valve 18 adjusts the air volume according to the drying temperature. The air after heat exchange in the vacuum freeze drying chamber 22 passes through the first dehumidifier 19, the first fan 16 and the third three-way valve 14 in sequence, and then enters the evaporator 9 for continuous heat exchange and continuous circulation. Then, the vacuum pump valve 23 is opened, the vacuum pump 27 is started, the air in the multi-layer partition 24 is discharged until the pressure is reduced to a state of being approximately zero, the low-temperature air circulation pipeline is cut off by using the first three-way valve 12 and the third three-way valve 14, the high-temperature air after heat exchange with the second condenser 10 enters the vacuum freeze drying chamber 22 after passing through the second three-way valve 13, the first three-way valve 12 and the first air volume adjusting valve 18, the radiation plates around the multi-layer partition 24 transmit the temperature into the partition for drying, and the high-temperature air after heat exchange returns to the second condenser 10 for circulation after passing through the first dehumidifying device 19, the first fan 16, the third three-way valve 14 and the fourth three-way valve 15 in sequence.

The invention also provides a multi-level index comprehensive optimization decision method, which is applied to the solar ORC-based medicinal material drying device, as shown in fig. 2, and comprises the following steps:

S₁: initializing a population, and inputting decision variables such as drying temperature and drying pressure and target function change upper and lower limits such as solar energy conversion efficiency; and randomly generating initial parent individuals within a specified range, and substituting the initial parent individuals into the objective function to solve the children.

S₂: the method comprises the steps of multi-level index fuzzy decision sorting, wherein evaluation indexes in a sub-generation scheme are classified according to attributes, a scheme weight matrix is constructed according to the principle that the index value is smaller and more optimal or larger and more optimal, a level index weight matrix is constructed according to the principle of index importance, semantic score distribution and normalization processing are further carried out, a fuzzy decision result is obtained, individuals with the largest calculated value are clarified and sorted to be 1, and the step S is repeated after the individuals sorted to be 1 are discharged₂The remaining individuals are ranked.

Wherein, each index of the device can be divided into:

a first level: ORC working fluid combustible toxicity (C)₁) ORC working fluid atmospheric residence time (C)₂) And ORC working fluid global warming potential (C)₃）。

And a second level: solar energy conversion efficiency (C)₄) Net work output of solar ORC system (C)₅) Total heat efficiency (C) of combined heat exchange system with solar ORC system₆）。

A third level: drying quality efficiency (C) of vacuum freeze drying system₇) Environmental efficiency of vacuum freeze-drying system (C)₈) Drying quality efficiency of spray drying system (C)₉) Environmental efficiency of spray drying system (C)₁₀) And investment cost (C) of solar ORC medicinal material drying device₁₁) And the investment recovery period (C) of solar ORC medicinal material drying device₁₂）。

S₃: and (4) competitive bidding selection, selecting individuals to enter a mating pool, and screening according to the principle that the ranking value is higher.

S₄: genetic manipulation, crossing, mutation, and generation of new individual。

S₅: repetition of S₂The multi-level indexes in (1) fuzzy decision ordering.

S₆: generating new population, eliminating the individuals without superiority, and maintaining the population quantity to be constant.

S₇: continuous iteration S₃-S₆And stopping until the evolution times are reached, thereby completing the evolution, outputting excellent individuals and obtaining an optimization result.

S₈: and feeding back the final optimization result to the control system.

The principle of the method is specifically explained by taking the above conditions as examples: let the population number be 100, i.e. 100 scenarios, D₁-D₁₀₀Through population initialization, a parent is randomly generated according to the range value of a decision variable in each population, and then a child C is randomly generated₁-C₁₂。

And constructing a scheme weight matrix according to the principle that the index value is smaller and more optimal or larger and more optimal, and when a certain index of the scheme is compared, calculating according to the condition that the index is more optimal to be 1, the index is less optimal to be 0, and the indexes are equal to be 0.5. Each scheme is compared with the rest schemes once, then scores are summed, grade division is carried out by taking the maximum summation value and the minimum summation value as upper and lower limits and taking 0.5 graduation as an interval, the grade of the maximum summation value is sequentially reduced by taking the grade of 1, each grade corresponds to a corresponding priority score, 100 schemes are arranged to be grouped according to 8 schemes in each group because the grade does not exceed 21 at most, the schemes are divided into 12 groups in total, the rest 4 schemes are placed into the next round of screening, and the number of the schemes set in each group does not influence the final result. In each group, the priority score of each scheme is divided by the sum of the priority scores of all the schemes in the group, the obtained result is the weight of each scheme, and the index C is used below₅For example, a scheme weight matrix is established as in table 1.

TABLE 1

C5

D1

D2

D3

D4

D5

D6

D7

D8

Sum value

D1

D11

D12

D13

D14

D15

D16

D17

D18

D11:D18

D2

D21

D22

D23

D24

D25

D26

D27

D28

D21:D28

D3

D31

D32

D33

D34

D35

D36

D37

D38

D31:D38

D4

D41

D42

D43

D44

D45

D46

D47

D48

D41:D48

D5

D51

D52

D53

D54

D55

D56

D57

D58

D51:D58

D6

D61

D62

D63

D64

D65

D66

D67

D68

D61:D68

D7

D71

D72

D73

D74

D75

D76

D77

D78

D71:D78

D8

D81

D82

D83

D84

D85

D86

D87

D88

D81:D88

The table above is 1 set of randomly assigned protocols. Wherein, the shape is D₁₂Is namely D₁And D₂In contrast, if D₁More preferably D₁₂If D is =1₂More preferably D₁₂=0, and if equal, D₁₂= 0.5. Taking the maximum summation value as the grade 1, sequentially decreasing according to 0.5 division to obtain corresponding grades and priority scores in 8 schemes, taking 5 grades as an example, and establishing the relationship between the grades and the priority scores as shown in table 2.

TABLE 2

C5	Maximum sum value	Maximum sum-0.5	……	……	Minimum sum value
						Grade	1	2	3	4	5
Priority score	1	0.905	0.818	0.739	0.667

Dividing the priority grade number of each scheme in the group by the sum of the priority grade numbers of all the schemes in the group to obtain the index C of each scheme in the group₅The weight of (c).

And (3) constructing a hierarchy index weight matrix according to an index importance principle, namely, appointing the importance of indexes in each hierarchy through related information and sequencing. In the index comparison, the calculation is carried out according to the condition that the more important is 1, the less important is 0, the equal important is 0.5, and the comparison, the grade division and the weight calculation of the indexes only occur in the hierarchy. Taking the first-level and second-level indexes as an example, a level index weight matrix is established as shown in table 3.

TABLE 3

C1

C2

C3

C4

C5

C6

……

Sum value

C1

C11

C12

C13

C11:C13

C2

C21

C22

C23

C21:C23

C3

C31

C32

C33

C31:C33

C4

C44

C45

C46

C44:C46

C5

C54

C55

C56

C54:C56

C6

C64

C65

C66

C64:C66

……

……

Wherein, the shape is as C₁₂Is namely C₁And C₂In contrast, if C₁More importantly, C₁₂If C is =1₂More importantly, C₁₂=0, and if equal, C₁₂= 0.5. And taking the maximum summation value as the grade 1, sequentially decreasing according to 1 division to obtain the corresponding grade and priority fraction, and constructing a scheme weight matrix in the other steps.

With W₁₂Representation scheme D₁For index C₂The weight relationship of the scheme to the index is established as shown in table 4.

TABLE 4

C1

C2

C3

C4

C5

C6

……

D1

W11

W12

W13

W14

W15

W16

……

D2

W21

W22

W23

W24

W25

W26

……

D3

W31

W32

W33

W34

W35

W36

……

D4

W41

W42

W43

W44

W45

W46

……

D5

W51

W52

W53

W54

W55

W56

……

D6

W61

W62

W63

W64

W65

W66

……

D7

W71

W72

W73

W74

W75

W76

……

D8

W81

W82

W83

W84

W85

W86

……

With W₁Indicates the index C₁The weight relationship of the level indexes is established as shown in table 5.

TABLE 5

Index (I)

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

C11

C12

Weight of

W1

W2

W3

W4

W5

W6

W7

W8

W9

W10

W11

W12

When calculating the fuzzy decision result, calculation is needed according to the hierarchy, and a scheme D is adopted₁The matrix is constructed for the example to explain in detail:

a first level:

A₁₁=[W₁₁ W₁₂ W₁₃]

B₁₁=[W₁;W₂;W₃]

D₁₁=A₁₁*B₁₁

and a second level:

A₂₁=[W₁₄ W₁₅ W₁₆ D₁₁]

B₂₁=[W₄;W₅;W₆]

C₂₁=[L/(L+1)].*B₂₁

C₂₂=[C₂₁;1-[L/(L+1)]]

D₂₁=A₂₁*C₂₂

a third level:

A₃₁=[W₁₇ W₁₈ W₁₉ W₁₁₀ W₁₁₁ W₁₁₂ D₂₁]

B₃₁=[W₇;W₈;W₉;W₁₀;W₁₁;W₁₂]

C₃₁=[L/(L+1)].*B₃₁

C₃₂=[C₃₁;1-[L/(L+1)]]

D₃₁=A₃₁*C₃₂

wherein D is₁₁、D₂₁And D₃₁Are respectively scheme D₁The first level evaluation result, the second level evaluation result and the third level evaluation result, and L is the index number of the corresponding level. And the other schemes are analogized to obtain the evaluation results of each scheme of each level, and the evaluation results are sorted according to the numerical value, wherein the larger the numerical value is, the higher the ranking is. Because the influence of the evaluation result of the previous level on the next level is considered when the matrix of each level is calculated, the final ranking result of the set of schemes is the ranking result of the third level. And sequencing 12 groups according to the steps, combining the scheme with the top ranking of each group and the first remaining 4 schemes into 16 schemes, randomly grouping the schemes according to 8 schemes of each group, dividing the schemes into 2 groups, repeating the steps, deciding 2 schemes, repeating the steps, and calculating again to obtain the final unique scheme, namely the sequence is 1. And after the solutions with the sequence of 1 are excluded, the remaining 99 solutions are continuously grouped, calculated and sequenced according to the steps, the solution with the top rank is finally selected and sequenced into 2, and by analogy, after 100 solutions are sequenced according to 1-100, the first 50 solutions are selected and enter a mating pool.

In a mating pool, a new scheme is obtained by carrying out binary intersection and polynomial variation on an original scheme, a new population is formed by the new scheme and the original scheme in the mating pool, the sequencing is repeated, individuals without superiority are eliminated, the total number of the schemes is kept to be 100, and the results are output after continuous iteration is carried out until the requirement of times is met.

And finally, selecting a unique optimal solution from the 100 schemes, feeding back decision variable values such as drying temperature, drying pressure and the like corresponding to the optimal scheme to a control system for parameter setting, and regulating the drying temperature and the drying pressure of the drying chamber by the control system through a first air volume regulating valve, a second air volume regulating valve and a three-way valve in the air pipe until the set requirements are met. The method not only achieves the purpose of optimization, but also completes the decision of the scheme.

The above-mentioned embodiments are only for convenience of description, and are not intended to limit the present invention in any way, and those skilled in the art will understand that the technical features of the present invention can be modified or changed by other equivalent embodiments without departing from the scope of the present invention.