CN108153714B - Comprehensive evaluation method and system for facility vegetable irrigation scheme - Google Patents
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Abstract
The application discloses a comprehensive evaluation method for a facility vegetable irrigation scheme, which comprises the following steps: receiving input vegetable quality parameters of each irrigation scheme; calculating relative comprehensive quality parameters of each irrigation scheme according to the vegetable quality parameters; establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of each irrigation scheme; calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix; and sequencing the irrigation schemes according to the relative closeness so as to complete the comprehensive evaluation of the irrigation schemes. The method carries out quantitative analysis on the relative comprehensive quality parameters, the vegetable yield parameters and the vegetable water utilization efficiency parameters by establishing the evaluation matrix, so that the obtained evaluation result is more objective, more comprehensive and more authoritative. The application also provides a comprehensive evaluation system, a server and a computer readable storage medium for the facility vegetable irrigation scheme, and the beneficial effects are achieved.
Description
Technical Field
The application relates to the field of facility vegetable irrigation, in particular to a method, a system, a server and a computer readable storage medium for comprehensive evaluation of a facility vegetable irrigation scheme.
Background
Since the 90 s of the 20 th century, facility agriculture mainly based on sunlight greenhouses has been rapidly developed. With the development of society and economy in China and the annual expansion of vegetable production area, as 2013, the vegetable planting area of facilities in China reaches 368 hectares, the supply of vegetable products basically meets the market and consumption requirements, and the aim of vegetable production is gradually changed to the aspects of product quality improvement and pollution-free production and the sustainable development of the vegetable industry from the aspect of simply paying attention to the yield and variety in the past.
The vegetables are crops with large water demand, and after facilities such as a greenhouse and the like are built, the underlying surface condition is changed, so that the farmland moisture condition and the crop growth environment are fundamentally changed, the utilization rate of natural rainfall is greatly reduced, and irrigation becomes one of important factors for realizing high-quality and high-yield of the facility vegetables. In the face of the worldwide problem of water resource shortage, the determination of irrigation indexes for saving water, improving quality and increasing efficiency has become a hot problem for the research of the facility vegetables in the 21 st century.
In recent years, through the continuous efforts of experts and scholars in the field of water-saving irrigation of greenhouse vegetables at home and abroad, a plurality of water-saving irrigation schemes for different crops are proposed and made, and the irrigation schemes mainly comprise three types: irrigation schemes where the irrigation indicators are based on soil moisture information, irrigation schemes where the irrigation indicators are based on integrated weather conditions, and irrigation schemes where the irrigation indicators are based on crop moisture information.
However, in the existing irrigation scheme, when response of vegetable products to water-saving irrigation is considered, formulated irrigation indexes only exist in a subjective judgment level, belong to qualitative analysis, and are short of quantitative evaluation methods and evaluation system support; meanwhile, as the quality indexes of the vegetables are more, the influence results of water-saving irrigation on the quality indexes are different, and the comprehensive evaluation indexes of the quality of the vegetables are lacked at present.
Therefore, how to quantitatively evaluate the irrigation scheme of the facility vegetables is a technical problem which needs to be solved by the technical personnel in the field at present.
Disclosure of Invention
The application aims to provide a comprehensive evaluation method, a system, a server and a computer readable storage medium for a facility vegetable irrigation scheme, which are used for quantitatively evaluating the facility vegetable irrigation scheme.
In order to solve the technical problem, the application provides a comprehensive evaluation method for a facility vegetable irrigation scheme, which comprises the following steps:
receiving input vegetable quality parameters of each irrigation scheme; the vegetable quality parameters comprise vegetable quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters;
calculating a relative comprehensive quality parameter of each irrigation scheme according to the vegetable quality parameters;
taking the relative comprehensive quality parameters, the vegetable yield parameters and the vegetable water utilization efficiency parameters as evaluation indexes of the irrigation schemes, and establishing an evaluation matrix;
calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix;
and sequencing each irrigation scheme according to the relative closeness so as to complete comprehensive evaluation of each irrigation scheme.
Optionally, calculating a relative comprehensive quality parameter of each of the irrigation solutions according to the vegetable quality parameters includes:
establishing a vegetable quality matrix according to the vegetable quality parameters of each of the irrigation protocols
Standardizing the vegetable quality matrix to obtain standardized data of each vegetable quality parameter of each irrigation scheme
Calculating contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data
Calculating the information entropy of each vegetable quality parameter according to each contribution degree
Calculating the weight of each vegetable quality parameter according to each information entropy
Calculating a relative composite quality parameter for each of the irrigation programs based on the weights and the normalized data
Wherein X is a vegetable quality matrix, XijJ vegetable quality parameter for i irrigation plan, n is total number of the irrigation plans, m is number of kinds of the vegetable quality parameter, YijTo normalize the data, EjFor entropy of information, PijAs contribution of jth vegetable quality parameter under ith irrigation regime, WjIs weight, QiIs a relative comprehensive quality parameter.
Optionally, the relative comprehensive quality parameter, the vegetable yield parameter, and the vegetable water utilization efficiency parameter are used as evaluation indexes of each irrigation scheme to establish an evaluation matrix, including:
establishing an original matrix according to the relative comprehensive quality parameters, the vegetable yield parameters and the vegetable water utilization efficiency parameters of each irrigation scheme
Carrying out normalization transformation on the original matrix to obtain the evaluation matrix
Wherein X 'is an original matrix, X'ijIs the j evaluation index, Y, of the i irrigation schemeij' is an evaluation matrix, where j is 1,2, and 3 respectively correspond to the vegetable yield parameter, the vegetable water use efficiency parameter, and the relative overall quality parameter.
Optionally, calculating a relative proximity of each irrigation solution vector of the evaluation matrix to the optimal solution vector includes:
finding the maximum value of each evaluation index in the evaluation matrix and forming an optimal scheme vector Zmax＝(Y'max1,Y'max2,Y'max3)；
Finding the minimum value of each evaluation index in the evaluation matrix, and forming a worst scheme vector Zmin＝(Y'min1,Y'min2,Y'min3)；
Calculating the distance between each irrigation solution vector and the optimal solution vector
And the distance between each irrigation plan vector and the worst plan vector
Calculating a relative proximity of each of the irrigation plan vectors to the optimal plan vector
Wherein Z ismaxIs the best solution vector, Y'max1Is the maximum value, Y ', of the vegetable yield parameter in the evaluation matrix'max2Is the maximum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'max3Is the maximum value, Y 'of the relative comprehensive quality parameter in the evaluation matrix'min1Is the minimum value, Y ', of the vegetable yield parameter in the evaluation matrix'min2The most effective parameter of the water utilization efficiency of the vegetables in the evaluation matrixSmall value, Y'min3Is the minimum value of the relative integrated quality parameter in the evaluation matrix,
for the distance of the ith irrigation solution vector from the optimal solution vector,
is the distance of the ith irrigation solution vector from the worst solution vector, CiIs the relative proximity of the ith irrigation solution vector to the optimal solution vector.
The present application further provides a system for comprehensive evaluation of a facility vegetable irrigation program, the system comprising:
the receiving module is used for receiving the input vegetable quality parameters of each irrigation scheme; the vegetable quality parameters comprise vegetable quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters;
the relative comprehensive quality parameter calculation module is used for calculating the relative comprehensive quality parameters of the irrigation schemes according to the vegetable quality parameters;
the evaluation matrix establishing module is used for establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of each irrigation scheme;
the relative proximity calculation module is used for calculating the relative proximity of each irrigation scheme vector of the evaluation matrix and the optimal scheme vector;
and the sequencing module is used for sequencing the irrigation schemes according to the relative closeness so as to complete the comprehensive evaluation of the irrigation schemes.
Optionally, the relative comprehensive quality parameter calculating module includes:
a vegetable quality matrix establishing submodule for establishing a vegetable quality matrix according to the vegetable quality parameters of each of the irrigation programs
A normalization processing submodule for normalizing the vegetable quality matrix to obtain normalized data of each vegetable quality parameter of each irrigation plan
A contribution degree calculation operator module for calculating the contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data
An information entropy calculation submodule for calculating the information entropy of each of the vegetable quality parameters according to each of the contribution degrees
A weight calculation submodule for calculating the weight of each vegetable quality parameter according to each information entropy
A relative overall quality parameter calculation sub-module for calculating a relative overall quality parameter for each of the irrigation scenarios based on the weights and the normalized data
Wherein X is a vegetable quality matrix, XijJ vegetable quality parameter for i irrigation plan, n is total number of the irrigation plans, m is number of kinds of the vegetable quality parameter, YijTo normalize the data, EjFor entropy of information, PijAs contribution of jth vegetable quality parameter under ith irrigation regime, WjIs weight, QiIs a relative comprehensive quality parameter.
Optionally, the evaluation matrix establishing module includes:
a raw matrix establishing submodule for establishing a raw matrix X '═ X' (X ') according to the relative composite quality parameter, the vegetable yield parameter and the vegetable moisture utilization efficiency parameter of each of the irrigation schemes'ij)n×3；
A normalization transformation submodule for performing normalization transformation on the original matrix to obtain the evaluation matrix
Wherein X 'is an original matrix, X'ijIs the j evaluation index, Y, of the i irrigation schemeij' is an evaluation matrix, where j is 1,2, and 3 respectively correspond to the vegetable yield parameter, the vegetable water use efficiency parameter, and the relative overall quality parameter.
Optionally, the relative proximity calculation module includes:
an optimal scheme vector composition submodule for finding the maximum value of each evaluation index in the evaluation matrix and forming an optimal scheme vector Zmax＝(Y'max1,Y'max2,Y'max3)；
A worst scheme vector composition submodule for finding the minimum value of each evaluation index in the evaluation matrix and composing a worst scheme vector Zmin＝(Y'min1,Y'min2,Y'min3)；
A distance calculation submodule for calculating the distance between each irrigation solution vector and the optimal solution vector
And the distance between each irrigation plan vector and the worst plan vector
A relative proximity calculation submodule for calculating each of the irrigation solution vectors and the optimal solution directionRelative proximity of quantities
Wherein Z ismaxIs the best solution vector, Y'max1Is the maximum value, Y ', of the vegetable yield parameter in the evaluation matrix'max2Is the maximum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'max3 is the maximum value, Y 'of the relative comprehensive quality parameter in the evaluation matrix'min1Is the minimum value, Y ', of the vegetable yield parameter in the evaluation matrix'min2Is the minimum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'min3Is the minimum value of the relative integrated quality parameter in the evaluation matrix,
for the distance of the ith irrigation solution vector from the optimal solution vector,
is the distance of the ith irrigation solution vector from the worst solution vector, CiIs the relative proximity of the ith irrigation solution vector to the optimal solution vector.
The present application further provides a server for comprehensive evaluation of a facility vegetable irrigation scheme, the server comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for comprehensive assessment of facility vegetable irrigation schedule as described in any one of the above when said computer program is executed.
The present application further provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method for integrated assessment of a facility vegetable irrigation solution as described in any one of the above.
The comprehensive evaluation method for the facility vegetable irrigation scheme comprises the steps of receiving input vegetable quality parameters of each irrigation scheme; the vegetable quality parameters comprise vegetable quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters; calculating relative comprehensive quality parameters of each irrigation scheme according to the vegetable quality parameters; establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of each irrigation scheme; calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix; and sequencing the irrigation schemes according to the relative closeness so as to complete the comprehensive evaluation of the irrigation schemes.
Based on the existing irrigation scheme, when response of vegetable quality to water-saving irrigation is considered, formulated irrigation indexes only exist in a subjective judgment level, belong to qualitative analysis and lack of quantitative evaluation method and evaluation system support, the technical scheme provided by the application can carry out scientific and quantifiable comprehensive evaluation on each irrigation scheme by establishing an evaluation matrix to carry out quantitative analysis on relative comprehensive quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters, so that the obtained evaluation result is more objective, more comprehensive and authoritative, and the limitation of the irrigation scheme caused by subjective assumption of qualitative analysis is overcome; by calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix and sequencing each irrigation scheme according to the relative closeness, the evaluation result is displayed more visually, a user can find the optimal irrigation scheme conveniently, and the yield, the quality and the water utilization efficiency of the facility vegetable crops are improved cooperatively. The application also provides a system, a server and a computer readable storage medium for comprehensive evaluation of the facility vegetable irrigation scheme, which have the beneficial effects and are not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method for comprehensive evaluation of a facility vegetable irrigation program according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of an actual representation of S102 in the method for comprehensive assessment of a facility vegetable irrigation program as provided in FIG. 1;
FIG. 3 is a flow chart of an actual representation of S104 in the method for comprehensive assessment of a facility vegetable irrigation program as provided in FIG. 1;
FIG. 4 is a block diagram of a system for comprehensive evaluation of a facility vegetable irrigation program according to an embodiment of the present disclosure;
FIG. 5 is a block diagram of another system for integrated evaluation of a facility vegetable irrigation program as provided in an example of the present application;
fig. 6 is a block diagram of a comprehensive evaluation server for a facility vegetable irrigation plan according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a comprehensive evaluation method, a system, a server and a computer readable storage medium for the facility vegetable irrigation scheme, which are used for carrying out quantitative evaluation on the facility vegetable irrigation scheme.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for comprehensive evaluation of a facility vegetable irrigation scheme according to an embodiment of the present application.
The method specifically comprises the following steps:
s101: receiving input vegetable quality parameters of each irrigation scheme;
based on the existing irrigation scheme, when the response of vegetable quality to water-saving irrigation is considered, the formulated irrigation indexes only exist in a subjective judgment level, belong to qualitative analysis and lack of quantitative evaluation methods and evaluation system support, the application provides a comprehensive evaluation method for facility vegetable irrigation schemes, and quantitative evaluation can be performed on the facility vegetable irrigation schemes only by inputting vegetable quality parameters of each irrigation scheme by a user;
the vegetable quality parameters mentioned herein specifically include vegetable quality parameters, vegetable yield parameters, and vegetable moisture utilization efficiency parameters;
optionally, the vegetable water utilization parameter mentioned here may be specifically calculated according to a formula WUE — Y/ET, where WUE is a vegetable cis-grading utilization parameter, Y is a vegetable yield parameter, and ET is an actual water consumption of each irrigation scheme.
S102: calculating relative comprehensive quality parameters of each irrigation scheme according to the vegetable quality parameters;
based on the fact that the existing vegetable quality parameters are more in types and the influence results of various irrigation schemes on the vegetable quality parameters of various types are different, in order to comprehensively consider the vegetable quality parameters of various types, the evaluation method provided by the application calculates the relative comprehensive quality parameters according to the vegetable quality parameters of various irrigation schemes, so that the obtained relative comprehensive quality parameters can reflect the influence of various irrigation schemes on the quality parameters of various types;
optionally, the calculation of the relative comprehensive quality parameter of each irrigation scheme according to the vegetable quality parameter may specifically include at least one of normalization, contribution degree calculation, information entropy calculation, and weighting calculation;
optionally, the vegetable quality parameter mentioned here may be specifically a representative vegetable quality parameter that is easily obtained after the specific nutritive value of each vegetable is comprehensively considered, for example, taking tomato as an example, the average single fruit weight, VC content, sugar-acid ratio and fruit hardness that are easily obtained and can sufficiently represent the tomato quality characteristics can be used as the vegetable quality parameter types by comprehensively considering the appearance quality, nutritive quality, flavor quality and storage and transportation quality of tomato.
S103: establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of each irrigation scheme;
based on the fact that the requirement on the facility vegetable irrigation scheme is changed from the yield requirement to the synergistic improvement of the yield, the vegetable quality and the water utilization rate, the evaluation method provided by the application takes the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization rate parameter as evaluation indexes of each irrigation scheme, the weight of the three evaluation indexes is set to be 1:1:1, and an evaluation matrix is established so as to achieve the high-quality, high-yield and high-efficiency synergistic improvement of the facility vegetables;
optionally, the process of establishing the evaluation matrix mentioned herein may specifically be:
establishing an original matrix according to the relative comprehensive quality parameters, the vegetable yield parameters and the vegetable water utilization efficiency parameters of all irrigation schemes
Carrying out normalization transformation on the original matrix to obtain an evaluation matrix
Wherein X 'is an original matrix, X'ijIs the j evaluation index, Y, of the i irrigation schemeijThe' is an evaluation matrix, and j is 1,2 and 3 respectively corresponding to the vegetable yield parameter, the vegetable water utilization efficiency parameter and the relative comprehensive quality parameter.
S104: calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix;
the optimal scheme vector mentioned here is a scheme vector with each evaluation index being the maximum value, the relative degree of each irrigation scheme and the theoretical optimal scheme is determined by calculating the relative proximity of each irrigation scheme vector and the optimal scheme vector, and the more the irrigation scheme is relative to the theoretical optimal scheme, the higher the evaluation result is.
S105: and sequencing the irrigation schemes according to the relative closeness so as to complete the comprehensive evaluation of the irrigation schemes.
The higher the relative proximity of the irrigation regimen, the better the assessment of the irrigation regimen.
Based on the technical scheme, the comprehensive evaluation method for the facility vegetable irrigation scheme provided by the application can be used for carrying out scientific and quantifiable comprehensive evaluation on each irrigation scheme by establishing an evaluation matrix to carry out quantitative analysis on relative comprehensive quality parameters, vegetable yield parameters and vegetable moisture utilization efficiency parameters, so that the obtained evaluation result is more objective, more comprehensive and authoritative, and the limitation of the irrigation scheme caused by subjective assumption of qualitative analysis is overcome; by calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix and sequencing each irrigation scheme according to the relative closeness, the evaluation result is displayed more visually, a user can find the optimal irrigation scheme conveniently, and the yield, the quality and the water utilization efficiency of the facility vegetable crops are improved cooperatively.
Referring to fig. 2, fig. 2 is a flowchart illustrating an actual representation of S102 in the method for comprehensively evaluating the irrigation scheme of the vegetables in fig. 1 according to the above-mentioned embodiment.
The present embodiment is directed to S102 of the previous embodiment, and a description is made of a specific implementation manner of the content described in S102, where the following is a flowchart shown in fig. 2, and the flowchart specifically includes the following steps:
s201: establishing a vegetable quality matrix according to vegetable quality parameters of each irrigation scheme
Wherein X is a vegetable quality matrix, XijA jth vegetable quality parameter for an ith irrigation regime, n is a total number of the irrigation regimes, and m is a number of varieties of the vegetable quality parameter.
S202: standardizing the vegetable quality matrix to obtain standardized data of each vegetable quality parameter of each irrigation scheme
Wherein, YijNormalized data for j-th vegetable quality parameter for i-th irrigation protocol.
S203: calculating the contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data
Wherein, PijIs the contribution of the jth vegetable quality parameter under the ith irrigation scheme.
S204: calculating the information entropy of the quality parameter of each vegetable according to each contribution degree
Wherein E isjThe information entropy of the jth vegetable quality parameter.
S205: calculating the weight of each vegetable quality parameter according to each information entropy
Wherein, WjThe information entropy of the jth vegetable quality parameter.
S206: calculating relative composite quality parameters for each irrigation project based on the weights and normalized data
Wherein Q isiRelative comprehensive quality parameters of the ith irrigation scheme.
Based on the lack of comprehensive evaluation indexes for evaluating the vegetable quality parameters at present, the embodiment of the application calculates the information entropy of each vegetable quality parameter to determine the weight of each vegetable quality parameter, and then calculates the relative comprehensive quality parameter according to the weight, so that the established evaluation matrix can be used for evaluating each irrigation scheme by taking the relative comprehensive quality parameter as the evaluation index to obtain the evaluation result of each vegetable quality parameter considering vegetables.
Referring to fig. 3, fig. 3 is a flowchart illustrating an actual representation of S104 in the method for comprehensively evaluating the irrigation scheme of the vegetables in fig. 1 according to the above-mentioned embodiment.
The present embodiment is directed to S104 in the previous embodiment, and a description is made of a specific implementation manner of the content described in S104, where the following is a flowchart shown in fig. 3, and the flowchart specifically includes the following steps:
s301: finding the maximum value of each evaluation index in the evaluation matrix and forming an optimal scheme vector Zmax＝(Y'max1,Y'max2,Y'max3)；
Wherein Z ismaxIs the best solution vector of the ideal best solution, Y'max1,Y'max2,Y'max3The maximum values of the vegetable yield parameter, the relative comprehensive quality parameter and the vegetable water utilization efficiency parameter in the evaluation matrix are respectively.
S302: finding the minimum value of each evaluation index in the evaluation matrix and forming a worst scheme vector Zmin＝(Y'min1,Y'min2,Y'min3)；
Wherein Z isminIs the worst scheme vector of the ideal optimal scheme, Y'min1,Y'min2,Y'min3The minimum values of the vegetable yield parameter, the relative comprehensive quality parameter and the vegetable water utilization efficiency parameter in the evaluation matrix are respectively;
it should be noted that there is no inevitable order relationship between step S301 and step S302, step S302 may be arranged before step S301, and the order relationship therebetween is not specifically limited in the present application.
S303: calculating the distance between each irrigation scheme vector and the optimal scheme vector and the distance between each irrigation scheme vector and the worst scheme vector;
according to the formula
Calculating the distance between each irrigation scheme vector and the optimal scheme vector according to the common publicFormula (II)
Calculating the distance between each irrigation scheme vector and the worst scheme vector;
wherein the content of the first and second substances,
for the distance of the ith irrigation solution vector from the optimal solution vector,
is the distance of the ith irrigation solution vector from the worst solution vector.
S304: the relative proximity of each irrigation plan vector to the optimal plan vector is calculated.
According to the formula
Calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector when CiThe larger the value is, the better the evaluation effect of the corresponding irrigation scheme is;
wherein, CiIs the relative proximity of the ith irrigation solution vector to the optimal solution vector.
Based on all the above embodiments, taking the facility tomato as an example, three irrigation intervals (I) based on the accumulated water surface evaporation amount of the facility tomato at a certain year are taken1，10±2mm；I2，20±2mm；I330 +/-2 mm) and four water irrigation quantities (K) based on evaporating dish coefficientcp1、Kcp2、Kcp3And Kcp40.50, 0.70, 0.90 and 1.10) respectively, and the respective irrigation programs were subjected to comprehensive evaluation according to the evaluation methods provided in the above examples:
firstly, calculating relative comprehensive quality parameters of each irrigation scheme according to the received vegetable quality parameters:
| irrigation scheme | Average single fruit weight | VC content | Ratio of sugar to acid | Hardness of |
| I1Kcp1 | 148.91 | 178.87 | 5.69 | 2.80 |
| I1Kcp2 | 178.43 | 160.66 | 6.10 | 2.62 |
| I1Kcp3 | 187.66 | 132.94 | 6.06 | 2.67 |
| I1Kcp4 | 180.23 | 110.97 | 5.85 | 2.44 |
| I2Kcp1 | 146.49 | 172.04 | 5.80 | 2.84 |
| I2Kcp2 | 182.95 | 151.41 | 5.65 | 2.37 |
| I2Kcp3 | 186.48 | 140.50 | 5.82 | 2.27 |
| I2Kcp4 | 189.21 | 129.75 | 5.70 | 2.33 |
| I3Kcp1 | 143.56 | 174.17 | 5.90 | 2.63 |
| I3Kcp2 | 179.43 | 143.95 | 5.70 | 2.34 |
| I3Kcp3 | 183.94 | 118.42 | 5.36 | 2.40 |
| I3Kcp4 | 175.83 | 119.86 | 5.55 | 2.20 |
Establishing a vegetable quality matrix according to various vegetable quality parameters in the table, and standardizing the vegetable quality matrix to obtain a standardized matrix Yij：
And calculating the information entropy of each irrigation scheme according to the standardized matrix:
E＝(0.94467，0.92765，0.97195，0.92049)；
calculating a weight vector of each index through the information entropy:
W＝(0.23520,0.30856,0.11925,0.33799)；
calculating to obtain relative comprehensive quality indexes of 12 irrigation schemes:
Q＝(0.70，0.74，0.69，0.39，0.70，0.52，0.46，0.44，0.60，0.46，0.34，0.24)；
taking the relative comprehensive quality parameters, the vegetable yield parameters and the vegetable water utilization efficiency parameters as evaluation indexes of each irrigation scheme, establishing an evaluation matrix, and carrying out normalized change on each average index to obtain the following standardized matrix:
calculating to obtain the optimal scheme (Z) by using the standardized data matrixmax) And the worst case vector (Z)min)：
Zmax＝(0.31677,0.31112,0.39277)；
Zmin＝(0.21946,0.25936,0.12473)；
Calculating the distances between the 12 irrigation schemes and the optimal scheme and the worst scheme, and after calculating the relative closeness Ci between the 12 irrigation schemes and the optimal scheme, sequencing Ci to realize the comprehensive evaluation of the high-quality, high-yield and high-efficiency irrigation schemes, wherein the calculation results and the evaluation results are shown in the following table:
| irrigation scheme | D+ | D- | Relative proximity Ci | Sorting |
| I1Kcp1 | 0.0854 | 0.2481 | 0.7439 | 3 |
| I1Kcp2 | 0.0182 | 0.2841 | 0.9397 | 1 |
| I1Kcp3 | 0.0306 | 0.2609 | 0.8951 | 2 |
| I1Kcp4 | 0.1899 | 0.1281 | 0.4028 | 10 |
| I2Kcp1 | 0.0884 | 0.2463 | 0.736 | 4 |
| I2Kcp2 | 0.1199 | 0.1754 | 0.5938 | 5 |
| I2Kcp3 | 0.1482 | 0.1569 | 0.5142 | 7 |
| I2Kcp4 | 0.1639 | 0.145 | 0.4695 | 9 |
| I3Kcp1 | 0.134 | 0.1917 | 0.5885 | 6 |
| I3Kcp2 | 0.1527 | 0.144 | 0.4854 | 8 |
| I3Kcp3 | 0.2114 | 0.1119 | 0.3462 | 11 |
| I3Kcp4 | 0.2738 | 0.0754 | 0.2159 | 12 |
The larger the value of Ci, the more excellent the evaluation value. From the comprehensive evaluation results, the comprehensive evaluation result of the I1Kcp2 irrigation scheme is optimal, I1Kcp is 3 times, the Ci value difference between the two is small, and I3Kcp4 is worst. Therefore, the irrigation frequency is increased, the irrigation quota is properly reduced, the water utilization efficiency of the facility tomatoes is improved on the basis of realizing stable yield, and the fruit quality is improved, which is also consistent with the reality. Namely, when the accumulated water surface evaporation reaches 10 +/-2 mm, irrigation is carried out, the irrigation amount is 0.7-0.9 times of the accumulated water surface evaporation, the water utilization efficiency is improved under the condition that the yield is not reduced, and the fruit nutrition quality and storage and transportation quality can be improved to a certain extent, so that the commodity value of the tomatoes is improved, and more economic benefits are brought to producers.
Referring to fig. 4, fig. 4 is a block diagram of a system for comprehensive evaluation of a facility vegetable irrigation scheme according to an embodiment of the present application.
The system may include:
the receiving module 100 is used for receiving the input vegetable quality parameters of each irrigation scheme; the vegetable quality parameters comprise vegetable quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters;
a relative comprehensive quality parameter calculation module 200, configured to calculate a relative comprehensive quality parameter of each irrigation scheme according to the vegetable quality parameters;
the evaluation matrix establishing module 300 is used for establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of each irrigation scheme;
a relative proximity calculation module 400, configured to calculate a relative proximity between each irrigation scheme vector of the evaluation matrix and the optimal scheme vector;
and the sequencing module 500 is used for sequencing the irrigation schemes according to the relative proximity so as to complete the comprehensive evaluation of the irrigation schemes.
Referring to fig. 5, fig. 5 is a block diagram illustrating a system for comprehensive evaluation of a vegetable irrigation scheme of another facility according to an embodiment of the present disclosure.
The relative integrated quality parameter calculation module 200 may include:
a vegetable quality matrix establishing submodule for establishing a vegetable quality matrix according to the vegetable quality parameters of each irrigation scheme
The standardized processing submodule is used for carrying out standardized processing on the vegetable quality matrix to obtain standardized data of each vegetable quality parameter of each irrigation scheme
The contribution degree calculation operator module is used for calculating the contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data
An information entropy calculation submodule for calculating the information entropy of the quality parameters of the vegetables according to the contribution degrees
A weight calculation submodule for calculating the weight of each vegetable quality parameter according to each information entropy
A relative comprehensive quality parameter calculation submodule for calculating relative comprehensive quality parameters of the irrigation schemes according to the weight and the standardized data
Wherein X is a vegetable quality matrix, XijJ vegetable quality parameter for ith irrigation scheme, n is total number of irrigation schemes, m is number of kinds of vegetable quality parameters, yijTo normalize the data, EjFor entropy of information, PijAs contribution of jth vegetable quality parameter under ith irrigation regime, WjIs weight, QiIs a relative comprehensive quality parameter.
The evaluation matrix building module 300 may include:
an original matrix establishing submodule for establishing an original matrix according to the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter of each irrigation scheme
A normalization transformation submodule for performing normalization transformation on the original matrix to obtain an evaluation matrix
Wherein X 'is an original matrix, X'ijIs the j evaluation index, Y, of the i irrigation schemeijThe' is an evaluation matrix, and j is 1,2 and 3 respectively corresponding to the vegetable yield parameter, the vegetable water utilization efficiency parameter and the relative comprehensive quality parameter.
The relative proximity calculation module 400 may include:
the optimal scheme vector composition submodule is used for finding the maximum value of each evaluation index in the evaluation matrix and forming an optimal scheme vector Zmax＝(Y'max1,Y'max2,Y'max3)；
The worst scheme vector composition submodule is used for finding the minimum value of each evaluation index in the evaluation matrix and forming a worst scheme vector Zmin＝(Y'min1,Y'min2,Y'min3)；
A distance calculation submodule for calculating the distance between each irrigation scheme vector and the optimal scheme vector
And the distance between each irrigation plan vector and the worst plan vector
A relative proximity calculation submodule for calculating relative proximity of each irrigation solution vector to the optimal solution vector
The components of the above system can be applied to one practical process as follows:
the receiving module receives the input vegetable quality parameters of each irrigation scheme;
the vegetable quality matrix establishing submodule establishes a vegetable quality matrix according to the vegetable quality parameters of each irrigation scheme; the standardized processing submodule is used for carrying out standardized processing on the vegetable quality matrix to obtain standardized data of each vegetable quality parameter of each irrigation scheme; the contribution degree calculation operator module calculates the contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data; the information entropy calculation submodule calculates the information entropy of the quality parameters of the vegetables according to the contribution degrees; the weight calculation submodule calculates the weight of each vegetable quality parameter according to each information entropy; the relative comprehensive quality parameter calculation submodule calculates relative comprehensive quality parameters of the irrigation schemes according to the weight and the standardized data;
the original matrix establishing submodule establishes an original matrix according to the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter of each irrigation scheme
The normalization transformation submodule performs normalization transformation on the original matrix to obtain an evaluation matrix;
the optimal scheme vector composition submodule searches the maximum value of each evaluation index in the evaluation matrix and composes an optimal scheme vector; the worst scheme vector composition submodule searches the minimum value of each evaluation index in the evaluation matrix and composes a worst scheme vector; the distance calculation sub-module calculates the distance between each irrigation scheme vector and the optimal scheme vector and the distance between each irrigation scheme vector and the worst scheme vector; the relative proximity calculation sub-module calculates the relative proximity of each irrigation scheme vector and the optimal scheme vector;
and the sequencing module sequences the irrigation schemes according to the relative proximity so as to complete the comprehensive evaluation of the irrigation schemes.
Referring to fig. 6, fig. 6 is a structural diagram of a comprehensive evaluation server for a facility vegetable irrigation plan according to an embodiment of the present application.
The server may vary widely due to configuration or performance differences, and may include one or more processors (CPUs) 622 (e.g., one or more processors) and memory 632, one or more storage media 630 (e.g., one or more mass storage servers) storing applications 642 or data 644. Memory 632 and storage medium 630 may be, among other things, transient or persistent storage. The program stored on the storage medium 630 may include one or more modules (not shown), each of which may include a sequence of instructions operating on the system. Still further, the central processor 622 may be configured to communicate with the storage medium 630, and execute a series of instruction operations in the storage medium 630 on the integrated evaluation server 600 for a facility vegetable irrigation scheme.
The facility vegetable irrigation plan general evaluation server 600 may also include one or more power supplies 626, one or more wired or wireless network interfaces 650, one or more input-output interfaces 658, and/or one or more operating systems 641, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps in the method for comprehensive evaluation of facility vegetable irrigation scheme described in fig. 1 to 3 above are implemented by the facility vegetable irrigation scheme comprehensive evaluation server based on the structure shown in fig. 6.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the system and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, server and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, a division of modules is merely a logical division, and an actual implementation may have another division, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a function call system, or a network device) to execute all or part of the steps of the method of the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The method, system, server and computer readable storage medium for comprehensive evaluation of irrigation scheme of facility vegetables provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (4)
1. A comprehensive evaluation method for a facility vegetable irrigation scheme is characterized by comprising the following steps:
receiving input vegetable quality parameters of each irrigation scheme; the vegetable quality parameters comprise vegetable quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters;
calculating a relative comprehensive quality parameter of each irrigation scheme according to the vegetable quality parameters;
taking the relative comprehensive quality parameters, the vegetable yield parameters and the vegetable water utilization efficiency parameters as evaluation indexes of the irrigation schemes, and establishing an evaluation matrix;
calculating the relative closeness of each irrigation scheme vector and the optimal scheme vector of the evaluation matrix;
sequencing each of the irrigation programs according to the relative closeness to complete a comprehensive evaluation of each of the irrigation programs;
establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of the irrigation schemes, wherein the evaluation matrix comprises the following steps:
establishing an original matrix X ' ═ X ' according to the relative composite quality parameter, the vegetable yield parameter and the vegetable moisture utilization efficiency parameter of each of the irrigation projects 'ij)n×3；
Carrying out normalization transformation on the original matrix to obtain the evaluation matrix
Wherein X 'is an original matrix, X'ijIs the j evaluation index, Y, of the i irrigation schemeijThe' is an evaluation matrix, wherein j is 1,2 and 3 respectively corresponding to the vegetable yield parameter, the vegetable water utilization efficiency parameter and the relative comprehensive quality parameter;
calculating a relative composite quality parameter for each of the irrigation programs based on the vegetable quality parameters, including:
establishing a vegetable quality matrix according to the vegetable quality parameters of each of the irrigation protocols
Standardizing the vegetable quality matrix to obtain standardized data of each vegetable quality parameter of each irrigation scheme
Calculating contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data
Calculating the information entropy of each vegetable quality parameter according to each contribution degree
Calculating the weight of each vegetable quality parameter according to each information entropy
Calculating a relative composite quality parameter for each of the irrigation programs based on the weights and the normalized data
Wherein X is a vegetable quality matrix, XijJ vegetable quality parameter for i irrigation plan, n is total number of the irrigation plans, m is number of kinds of the vegetable quality parameter, YijTo normalize the data, EjFor entropy of information, PijAs contribution of jth vegetable quality parameter under ith irrigation regime, WjIs weight, QiIs a relative comprehensive quality parameter;
calculating a relative proximity of each irrigation solution vector of the evaluation matrix to an optimal solution vector, comprising:
finding the maximum value of each evaluation index in the evaluation matrix and forming an optimal scheme vector Zmax＝(Y'max1,Y'max2,Y'max3)；
Finding the minimum value of each evaluation index in the evaluation matrix, and forming a worst scheme vector Zmin＝(Y'min1,Y'min2,Y'min3)；
Calculating the distance between each irrigation solution vector and the optimal solution vector
And the distance between each irrigation plan vector and the worst plan vector
Calculating a relative proximity of each of the irrigation plan vectors to the optimal plan vector
Wherein Z ismaxIs the best solution vector, Y'max1Is the maximum value, Y ', of the vegetable yield parameter in the evaluation matrix'max2Is the maximum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'max3Is the maximum value, Y 'of the relative comprehensive quality parameter in the evaluation matrix'min1Is the minimum value, Y ', of the vegetable yield parameter in the evaluation matrix'min2Is the minimum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'min3Is the minimum value, D, of the relative overall quality parameter in the evaluation matrixi +Is the distance of the ith irrigation solution vector from the optimal solution vector, Di -Is the distance of the ith irrigation solution vector from the worst solution vector, CiIs the relative proximity of the ith irrigation solution vector to the optimal solution vector.
2. A system for comprehensive evaluation of a facility vegetable irrigation program, comprising:
the receiving module is used for receiving the input vegetable quality parameters of each irrigation scheme; the vegetable quality parameters comprise vegetable quality parameters, vegetable yield parameters and vegetable water utilization efficiency parameters;
the relative comprehensive quality parameter calculation module is used for calculating the relative comprehensive quality parameters of the irrigation schemes according to the vegetable quality parameters;
the evaluation matrix establishing module is used for establishing an evaluation matrix by taking the relative comprehensive quality parameter, the vegetable yield parameter and the vegetable water utilization efficiency parameter as evaluation indexes of each irrigation scheme;
the relative proximity calculation module is used for calculating the relative proximity of each irrigation scheme vector of the evaluation matrix and the optimal scheme vector;
the sequencing module is used for sequencing the irrigation schemes according to the relative closeness so as to complete the comprehensive evaluation of the irrigation schemes;
wherein, the evaluation matrix establishing module comprises:
a raw matrix establishing submodule for establishing a raw matrix X '═ X' (X ') according to the relative composite quality parameter, the vegetable yield parameter and the vegetable moisture utilization efficiency parameter of each of the irrigation schemes'ij)n×3；
A normalization transformation submodule for performing normalization transformation on the original matrix to obtain the evaluation matrix
Wherein X 'is an original matrix, X'ijIs the j evaluation index, Y, of the i irrigation schemeijThe' is an evaluation matrix, wherein j is 1,2 and 3 respectively corresponding to the vegetable yield parameter, the vegetable water utilization efficiency parameter and the relative comprehensive quality parameter;
the relative comprehensive quality parameter calculation module comprises:
a vegetable quality matrix establishing submodule for establishing a vegetable quality matrix according to the vegetable quality parameters of each of the irrigation programs
A normalization processing submodule for normalizing the vegetable quality matrix to obtain normalized data of each vegetable quality parameter of each irrigation plan
A contribution degree calculation operator module for calculating the contribution degree of each vegetable quality parameter under each irrigation scheme according to the standardized data
An information entropy calculation submodule for calculating the information entropy of each of the vegetable quality parameters according to each of the contribution degrees
A weight calculation submodule for calculating the weight of each vegetable quality parameter according to each information entropy
A relative overall quality parameter calculation sub-module for calculating a relative overall quality parameter for each of the irrigation scenarios based on the weights and the normalized data
Wherein X is a vegetable quality matrix, XijJ vegetable quality parameter for i irrigation plan, n is total number of the irrigation plans, m is number of kinds of the vegetable quality parameter, YijTo normalize the data, EjFor entropy of information, PijAs contribution of jth vegetable quality parameter under ith irrigation regime, WjIs weight, QiIs a relative comprehensive quality parameter;
the relative proximity calculation module includes:
the optimal scheme vector composition submodule is used for finding the maximum value of each evaluation index in the evaluation matrix,and form an optimal solution vector Zmax＝(Y'max1,Y'max2,Y'max3)；
A worst scheme vector composition submodule for finding the minimum value of each evaluation index in the evaluation matrix and composing a worst scheme vector Zmin＝(Y'min1,Y'min2,Y'min3)；
A distance calculation submodule for calculating the distance between each irrigation solution vector and the optimal solution vector
And the distance between each irrigation plan vector and the worst plan vector
A relative proximity calculation submodule for calculating relative proximity of each of the irrigation solution vectors to the optimal solution vector
Wherein Z ismaxIs the best solution vector, Y'max1Is the maximum value, Y ', of the vegetable yield parameter in the evaluation matrix'max2Is the maximum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'max3Is the maximum value, Y 'of the relative comprehensive quality parameter in the evaluation matrix'min1Is the minimum value, Y ', of the vegetable yield parameter in the evaluation matrix'min2Is the minimum value, Y ', of the vegetable moisture utilization efficiency parameter in the evaluation matrix'min3Is the minimum value, D, of the relative overall quality parameter in the evaluation matrixi +Is the distance of the ith irrigation solution vector from the optimal solution vector, Di -Is the distance of the ith irrigation solution vector from the worst solution vector, CiIs the relative proximity of the ith irrigation solution vector to the optimal solution vector.
3. A server for comprehensive evaluation of a facility vegetable irrigation scheme, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method for integrated evaluation of a facility vegetable irrigation schedule according to claim 1 when executing the computer program.
4. A computer-readable storage medium, having stored thereon, a computer program which, when executed by a processor, performs the steps of the method for integrated assessment of a facility vegetable irrigation program according to claim 1.
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