CN118116471A - Sex pheromone receptor-based pest control and evaluation method and system - Google Patents

Sex pheromone receptor-based pest control and evaluation method and system Download PDF

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CN118116471A
CN118116471A CN202410260249.XA CN202410260249A CN118116471A CN 118116471 A CN118116471 A CN 118116471A CN 202410260249 A CN202410260249 A CN 202410260249A CN 118116471 A CN118116471 A CN 118116471A
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常虹
刘艳萍
王潇楠
王思威
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Abstract

本发明公开了一种基于性信息素受体的害虫防控与评估方法及系统,包括:对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类;根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估;根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。通过分析各区域内的害虫种类和程度,制定符合区域状况的防控方案,从主观和客观的角度对害虫防控进行评估,从而更好的了解防控效果。基于害虫习性进行防控方案优化,设定符合目标区域的防控优化方案,提高害虫防控的效果以及评估准确性。

The present invention discloses a pest control and evaluation method and system based on sex pheromone receptors, including: dividing the target area, sampling pests according to the division results, analyzing the degree and type of pests in each area; formulating a control plan according to the pest analysis information, and performing pest control according to the control plan; performing pest control monitoring, introducing intuitive fuzzy analysis and CRITIC method to determine evaluation weights, and performing pest control evaluation; judging whether the expected control effect is achieved according to the pest control evaluation information, performing pest habit analysis, and optimizing the control plan. By analyzing the types and degrees of pests in each area, a control plan that meets the regional conditions is formulated, and pest control is evaluated from subjective and objective perspectives, so as to better understand the control effect. The control plan is optimized based on the pest habits, and a control optimization plan that meets the target area is set to improve the effect of pest control and the accuracy of evaluation.

Description

一种基于性信息素受体的害虫防控与评估方法及系统A pest control and assessment method and system based on sex pheromone receptors

技术领域Technical Field

本发明涉及害虫防控与评估技术领域,尤其涉及一种基于性信息素受体的害虫防控与评估方法及系统。The present invention relates to the technical field of pest control and assessment, and in particular to a pest control and assessment method and system based on sex pheromone receptors.

背景技术Background technique

随着生物技术和分子生物学的发展,利用害虫本身的生物特性进行防治成为了一种新的思路。性信息素是一类害虫体内产生的化学物质,它能够在害虫之间传递信息,影响害虫的生活习性和行为。在害虫的生殖过程中,性信息素发挥着重要的作用,例如引导害虫的交配行为、诱导害虫聚集等。通过模拟和利用害虫的性信息素,可以干扰害虫的生殖行为,导向害虫进行聚集,再辅以灭杀技术,从而达到防治的效果。With the development of biotechnology and molecular biology, using the biological characteristics of pests for prevention and control has become a new idea. Sex pheromones are a type of chemical produced in pests that can transmit information between pests and affect their living habits and behaviors. In the reproductive process of pests, sex pheromones play an important role, such as guiding the mating behavior of pests and inducing pest aggregation. By simulating and utilizing the sex pheromones of pests, it is possible to interfere with the reproductive behavior of pests, guide pests to aggregate, and then use killing technology to achieve the effect of prevention and control.

然而,针对信息素进行害虫防治的方法仍存在缺陷,例如无针对性的投放防控装置导致无法更好的吸引害虫等等,从而未能达到预期防控效果并加大防控成本,同时,对于害虫防控的不准确评估也影响着害虫防控的部署。因此,如何更好的利用信息素进行害虫防控并提高对于害虫防控评估的准确性是一个重要问题。However, there are still some defects in the method of pest control based on pheromones, such as the inability to attract pests due to the non-targeted placement of control devices, which fails to achieve the expected control effect and increases the cost of control. At the same time, inaccurate evaluation of pest control also affects the deployment of pest control. Therefore, how to better use pheromones for pest control and improve the accuracy of pest control evaluation is an important issue.

发明内容Summary of the invention

本发明克服了现有技术的缺陷,提供了一种基于性信息素受体的害虫防控与评估方法及系统,其重要目的在于提高害虫防控的效益及害虫防治评估的准确性。The present invention overcomes the defects of the prior art and provides a pest control and evaluation method and system based on sex pheromone receptors, the important purpose of which is to improve the effectiveness of pest control and the accuracy of pest control evaluation.

为实现上述目的本发明第一方面提供了一种基于性信息素受体的害虫防控与评估方法,包括:To achieve the above objectives, the present invention provides a pest control and assessment method based on sex pheromone receptors, comprising:

对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,得到害虫分析信息;Divide the target area, conduct pest sampling based on the division results, analyze the degree and type of pests in each area, and obtain pest analysis information;

根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;Formulate a pest control plan based on the pest analysis information, and perform pest control according to the pest control plan;

进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估,得到害虫防治评估信息;Conduct pest control monitoring, introduce intuitive fuzzy analysis and CRITIC method to determine evaluation weights, conduct pest control evaluation, and obtain pest control evaluation information;

根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。Based on the pest control assessment information, determine whether the expected control effect has been achieved, conduct pest behavior analysis, and optimize the control plan.

本方案中,其特征在于,所述对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,具体为:This solution is characterized in that the target area is divided, pest sampling is carried out according to the division results, and the degree and type of pests in each area are analyzed, specifically:

获取目标区域位置信息,根据所述目标区域位置信息对目标区域进行划分,将目标区域划分为若干个子区域;Acquire the target area location information, divide the target area according to the target area location information, and divide the target area into a plurality of sub-areas;

预设分类阈值,提取各自取中的种植信息,计算各区域内的各种种植物与总种植物的比例,与分类阈值进行判断,根据判断结果对各子区域进行类别划分,得到类别划分信息;Preset the classification threshold, extract the planting information of each area, calculate the ratio of each plant species to the total plant species in each area, make a judgment with the classification threshold, and classify each sub-area according to the judgment result to obtain the classification information;

若某子区域内的各种植物与总种植物的比例小于分类阈值,则将对应区域定义为混合种植区域;If the ratio of each plant species to the total plant species in a sub-area is less than the classification threshold, the corresponding area is defined as a mixed planting area;

根据所述类别划分信息对各子区域进行害虫采样,得到害虫采样信息;Pest sampling is performed in each sub-area according to the classification information to obtain pest sampling information;

基于CNN构建害虫识别模型,通过大数据检索获取各种害虫特征信息,对所述害虫识别模型进行深度学习和训练,将所述害虫采样信息输入至所述害虫识别模型中进行分析,得到害虫识别信息;Building a pest identification model based on CNN, acquiring various pest feature information through big data retrieval, performing deep learning and training on the pest identification model, inputting the pest sampling information into the pest identification model for analysis, and obtaining pest identification information;

预设害虫程度判断阈值,根据所述害虫识别信息提取各区域内的各种害虫数量和种类,与所述害虫程度判断阈值进行判断,得到害虫分析信息。A pest degree judgment threshold is preset, and the number and type of various pests in each area are extracted according to the pest identification information, and the pest degree judgment threshold is compared to obtain pest analysis information.

本方案中,其特征在于,所述根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治,具体为:In this solution, it is characterized in that a control plan is formulated according to the pest analysis information, and pest control is carried out according to the control plan, specifically:

基于大数据检索获取不同种类和程度的害虫性信息素防治实例,构成实例数据集;Based on big data retrieval, examples of pest pheromone control of different types and degrees are obtained to form an example data set;

获取害虫分析信息,将所述害虫分析信息与所述实例数据集进行相似的计算,获取相似度值,并与预设阈值进行判断,得到候选防控方案信息;Acquire pest analysis information, perform similarity calculation on the pest analysis information and the instance data set, obtain a similarity value, and make a judgment with a preset threshold to obtain candidate prevention and control plan information;

提取各候选防控方案的防控效果,作为权重,对各候选防控方案进行加权计算,并根据加权计算结果进行排序;Extract the prevention and control effects of each candidate prevention and control plan as a weight, perform weighted calculation on each candidate prevention and control plan, and rank them according to the weighted calculation results;

根据排序结果选取最终防控方案,根据最终防控方案进行害虫防治。The final prevention and control plan is selected based on the ranking results, and pest control is carried out according to the final prevention and control plan.

本方案中,其特征在于,所述进行害虫防治评估,得到害虫防治评估信息,具体为:In this solution, it is characterized in that the pest control assessment is performed to obtain pest control assessment information, specifically:

基于大数据检索获取各种害虫防治评估指标,计算各评估指标与防治效果之间皮尔逊相关系数,作为相关性分析指标,与预设阈值进行判断,得到评估指标信息;Based on big data retrieval, various pest control evaluation indicators are obtained, and the Pearson correlation coefficient between each evaluation indicator and the control effect is calculated as a correlation analysis indicator, which is judged with the preset threshold to obtain the evaluation indicator information;

基于专家知识法根据评估指标信息获取各评估指标的影响度评分,引入直觉模糊分析法对各评估指标进行主观权重分配,根据影响度评分构建直觉模糊评估矩阵;Based on the expert knowledge method, the influence score of each evaluation indicator is obtained according to the evaluation indicator information, and the intuitive fuzzy analysis method is introduced to allocate subjective weights to each evaluation indicator, and the intuitive fuzzy evaluation matrix is constructed according to the influence score.

根据所述直觉模糊评估矩阵计算各评估指标的直觉模糊熵,通过直觉模糊熵计算各评估指标的直觉模糊数,对各评估指标进行主观权重分配,得到主观权重信息;Calculating the intuitionistic fuzzy entropy of each evaluation indicator according to the intuitionistic fuzzy evaluation matrix, calculating the intuitionistic fuzzy number of each evaluation indicator through the intuitionistic fuzzy entropy, assigning subjective weights to each evaluation indicator, and obtaining subjective weight information;

引入CRITIC法进行客观权重分配,根据各评估指标的影响度评分构建待评价矩阵,对所述待评价矩阵进行标准化,计算各评估指标的标准差和相关系数,通过计算得到的相关性系数对各评估指标进行升序排序;The CRITIC method is introduced to perform objective weight allocation, and a matrix to be evaluated is constructed according to the impact score of each evaluation indicator. The matrix to be evaluated is standardized, and the standard deviation and correlation coefficient of each evaluation indicator are calculated. The evaluation indicators are sorted in ascending order according to the calculated correlation coefficient.

根据排序结果构建有序向量,通过构建的有序向量计算各评估指标的差异系数,结合各评估指标的标准差和相关系数进行客观权重分配,得到客观权重信息;An ordered vector is constructed according to the sorting results, and the coefficient of difference of each evaluation index is calculated through the constructed ordered vector. The objective weight is assigned by combining the standard deviation and correlation coefficient of each evaluation index to obtain objective weight information;

基于博弈论法结合主观权重信息和客观权重信息对各指标进行权重组合,得到评估指标权重信息;Based on the game theory method, the subjective weight information and objective weight information are combined to weight each indicator and obtain the evaluation indicator weight information;

对目标区域进行害虫防治监测,获取害虫防治监测信息,结合所述评估指标权重信息对害虫防治进行评估,得到害虫防治评估信息。Pest control monitoring is performed on the target area to obtain pest control monitoring information, and pest control is evaluated in combination with the evaluation index weight information to obtain pest control evaluation information.

本方案中,其特征在于,所述根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,具体为:In this solution, it is characterized in that the determination of whether the expected control effect is achieved based on the pest control evaluation information and the pest habit analysis are specifically as follows:

预设防治效果评估规则,获取害虫防治评估信息,与所述防治效果评估规则进行判断,分析是否达到预期防治效果;Preset pest control effect evaluation rules, obtain pest control evaluation information, and make judgments with the pest control effect evaluation rules to analyze whether the expected pest control effect is achieved;

若未达到预期防治效果,则进行害虫习性分析,并对防治方案进行优化;If the expected control effect is not achieved, the pest behavior analysis will be conducted and the control plan will be optimized;

获取害虫分析信息,对所述害虫分析信息进行特征区域,提取各区域内的害虫种类特征和程度特征,得到区域害虫特征信息;Acquire pest analysis information, perform feature region analysis on the pest analysis information, extract pest species characteristics and degree characteristics in each region, and obtain regional pest feature information;

基于专家分析法结合所述区域害虫特征信息进行害虫习性分析,分析不同种类害虫的出没偏好、生存偏好和交配偏好,得到害虫习性分析信息。Based on the expert analysis method combined with the regional pest characteristic information, pest habit analysis is performed to analyze the appearance preference, survival preference and mating preference of different types of pests to obtain pest habit analysis information.

本方案中,其特征在于,所述对防控方案进行优化,具体为:This solution is characterized in that the prevention and control plan is optimized, specifically:

获取区域地理信息和区域气象信息,结合所述害虫习性分析信息分析各子区域内是否存在害虫适生区域,计算所述害虫习性分析信息与区域地理信息的相似度,作为分析指标;Acquire regional geographic information and regional meteorological information, analyze whether there is a suitable pest habitat in each sub-region in combination with the pest habit analysis information, and calculate the similarity between the pest habit analysis information and the regional geographic information as an analysis index;

将计算得到的相似度值与预设阈值进行判断,根据判断结果分析是否存在害虫适生区域,得到害虫适生区域信息;The calculated similarity value is judged with a preset threshold, and according to the judgment result, it is analyzed whether there is an area suitable for pests to obtain information on the area suitable for pests;

根据所述害虫习性分析信息提取害虫的出没偏好和交配偏好,计算与所述害虫适生区域信息的皮尔逊相关系数,作为滋生区域分析指标,分析各适生区域是否为害虫滋生区域,得到滋生区域分析信息;Extracting the appearance preference and mating preference of pests according to the pest habit analysis information, calculating the Pearson correlation coefficient with the pest suitable habitat information as a breeding area analysis index, analyzing whether each suitable habitat area is a pest breeding area, and obtaining breeding area analysis information;

构建害虫活跃预测模型,将所述害虫习性分析信息、区域气象信息、滋生区域信息和害虫适生区域信息输入至所述害虫活跃预测模型中进行分析,预测未来时间段内各区域的害虫活跃情况,得到害虫活跃预测信息;Constructing a pest activity prediction model, inputting the pest habit analysis information, regional meteorological information, breeding area information and pest suitable area information into the pest activity prediction model for analysis, predicting the pest activity in each area in the future time period, and obtaining pest activity prediction information;

将害虫活跃程度作为区域防控力度的评估指标,预设活跃程度判断阈值,将所述害虫活跃预测信息与所述活跃程度判断阈值进行判断,对各区域进行防控等级划分,得到防控力度评估信息;The pest activity level is used as an evaluation indicator of regional prevention and control strength, a preset activity level judgment threshold is set, the pest activity prediction information is judged with the activity level judgment threshold, and each area is divided into prevention and control levels to obtain prevention and control strength evaluation information;

根据所述防控力度评估信息和害虫活跃预测信息进行防控方案优化,根据各区域的防控力度和害虫活跃特征对防控方案进行优化,得到初始优化方案信息;Optimizing the control plan based on the control intensity assessment information and the pest activity prediction information, optimizing the control plan based on the control intensity and pest activity characteristics of each area, and obtaining initial optimization plan information;

根据所述初始优化方案信息计算各初始优化方案的成本,作为权重对各初始优化方案进行加权计算,并进行排序,根据排序结果选取最终优化方案进行害虫防控。The cost of each initial optimization scheme is calculated according to the initial optimization scheme information, and each initial optimization scheme is weightedly calculated and sorted as a weight. The final optimization scheme is selected for pest control according to the sorting result.

本发明第二方面提供了一种基于性信息素受体的害虫防控与评估系统,该系统包括:存储器、处理器,所述存储器中包含基于性信息素受体的害虫防控与评估方法程序,所述基于性信息素受体的害虫防控与评估方法程序被所述处理器执行时实现如下步骤:The second aspect of the present invention provides a pest control and evaluation system based on sex pheromone receptors, the system comprising: a memory, a processor, the memory containing a pest control and evaluation method program based on sex pheromone receptors, the pest control and evaluation method program based on sex pheromone receptors being executed by the processor to implement the following steps:

对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,得到害虫分析信息;Divide the target area, conduct pest sampling based on the division results, analyze the degree and type of pests in each area, and obtain pest analysis information;

根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;Formulate a pest control plan based on the pest analysis information, and perform pest control according to the pest control plan;

进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估,得到害虫防治评估信息;Conduct pest control monitoring, introduce intuitive fuzzy analysis and CRITIC method to determine evaluation weights, conduct pest control evaluation, and obtain pest control evaluation information;

根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。Based on the pest control assessment information, determine whether the expected control effect has been achieved, conduct pest behavior analysis, and optimize the control plan.

本发明公开了一种基于性信息素受体的害虫防控与评估方法及系统,包括:对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类;根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估;根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。通过分析各区域内的害虫种类和程度,制定符合区域状况的防控方案,从主观和客观的角度对害虫防控进行评估,从而更好的了解防控效果。基于害虫习性进行防控方案优化,设定符合目标区域的防控优化方案,提高害虫防控的效果以及评估准确性。The present invention discloses a pest control and evaluation method and system based on sex pheromone receptors, including: dividing the target area, sampling pests according to the division results, analyzing the degree and type of pests in each area; formulating a control plan according to the pest analysis information, and performing pest control according to the control plan; performing pest control monitoring, introducing intuitive fuzzy analysis and CRITIC method to determine evaluation weights, and performing pest control evaluation; judging whether the expected control effect is achieved according to the pest control evaluation information, performing pest habit analysis, and optimizing the control plan. By analyzing the types and degrees of pests in each area, a control plan that meets the regional conditions is formulated, and pest control is evaluated from subjective and objective perspectives, so as to better understand the control effect. The control plan is optimized based on the pest habits, and a control optimization plan that meets the target area is set to improve the effect of pest control and the accuracy of evaluation.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

为了更清楚地说明本发明实施例或示例性中的技术方案,下面将对实施例或示例性描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以按照这些附图示出的获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments or exemplary embodiments of the present invention, the drawings required for use in the embodiments or exemplary descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained according to the drawings without paying creative work.

图1为本发明一实施例提供的一种基于性信息素受体的害虫防控与评估方法流程图;FIG1 is a flow chart of a pest control and assessment method based on sex pheromone receptors provided by one embodiment of the present invention;

图2为本发明一实施例提供的基于信性信息素受体的害虫防控流程图;FIG2 is a flowchart of pest control based on pheromone receptors according to an embodiment of the present invention;

图3为本发明一实施例提供的一种基于性信息素受体的害虫防控与评估系统框图;FIG3 is a block diagram of a pest control and assessment system based on sex pheromone receptors provided by an embodiment of the present invention;

本发明目的的实现、功能特点及优点将结合实施例,参照附图做进一步说明。The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings.

具体实施方式Detailed ways

为了能够更清楚地理解本发明的上述目的、特征和优点,下面结合附图和具体实施方式对本发明进行进一步的详细描述。需要说明的是,在不冲突的情况下,本申请的实施例及实施例中的特征可以相互组合。In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

在下面的描述中阐述了很多具体细节以便于充分理解本发明,但是,本发明还可以采用其他不同于在此描述的其他方式来实施,因此,本发明的保护范围并不受下面公开的具体实施例的限制。In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

图1为本发明一实施例提供的一种基于性信息素受体的害虫防控与评估方法流程图;FIG1 is a flow chart of a pest control and assessment method based on sex pheromone receptors provided by one embodiment of the present invention;

如图1所示,本发明提供了一种基于性信息素受体的害虫防控与评估方法流程图,包括:As shown in FIG1 , the present invention provides a flow chart of a pest control and evaluation method based on sex pheromone receptors, comprising:

S102,对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,得到害虫分析信息;S102, dividing the target area, sampling pests according to the division results, analyzing the degree and type of pests in each area, and obtaining pest analysis information;

S104,根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;S104, formulating a pest control plan according to the pest analysis information, and performing pest control according to the pest control plan;

S106,进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估,得到害虫防治评估信息;S106, conduct pest control monitoring, introduce intuitive fuzzy analysis and CRITIC method to determine evaluation weights, conduct pest control evaluation, and obtain pest control evaluation information;

S108,根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。S108, judging whether the expected pest control effect is achieved according to the pest control evaluation information, analyzing the pest habits, and optimizing the control plan.

需要说明的是,本发明提供了一种基于信息素受体的害虫防控与评估方法及系统,通过对目标防控区域进行划分,了解各区域的种植组成,并对各区域进行害虫采样,分析各区域内的害虫种类和程度,从而制定符合各区域的实际状况的防控策略,选取符合目标区域害虫种类的性信息素。对进行害虫防控后的各区域进行监测和评估,判断是否达到预期防治效果,通过对目标区域内的害虫习性进行分析,判断出防治区域是否存在适生区域和滋生区域,并结合害虫习性对防控策略进行优化,从而提高防控效果。It should be noted that the present invention provides a pest control and evaluation method and system based on pheromone receptors, which divides the target control area, understands the planting composition of each area, samples pests in each area, analyzes the types and extent of pests in each area, and formulates control strategies that meet the actual conditions of each area, and selects sex pheromones that meet the types of pests in the target area. After pest control, each area is monitored and evaluated to determine whether the expected control effect is achieved. By analyzing the habits of pests in the target area, it is determined whether there are suitable areas and breeding areas in the control area, and the control strategy is optimized in combination with the habits of pests, thereby improving the control effect.

进一步的,在本发明的一个较佳实施例中,所述对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,具体包括:Furthermore, in a preferred embodiment of the present invention, the target area is divided, pest sampling is performed according to the division results, and the degree and type of pests in each area are analyzed, which specifically includes:

获取目标区域位置信息,根据所述目标区域位置信息对目标区域进行划分,将目标区域划分为若干个子区域;Acquire the target area location information, divide the target area according to the target area location information, and divide the target area into a plurality of sub-areas;

预设分类阈值,提取各自取中的种植信息,计算各区域内的各种种植物与总种植物的比例,与分类阈值进行判断,根据判断结果对各子区域进行类别划分,得到类别划分信息;Preset the classification threshold, extract the planting information of each area, calculate the ratio of each plant species to the total plant species in each area, make a judgment with the classification threshold, and classify each sub-area according to the judgment result to obtain the classification information;

若某子区域内的各种植物与总种植物的比例小于分类阈值,则将对应区域定义为混合种植区域;If the ratio of each plant species to the total plant species in a sub-area is less than the classification threshold, the corresponding area is defined as a mixed planting area;

根据所述类别划分信息对各子区域进行害虫采样,得到害虫采样信息;Pest sampling is performed in each sub-area according to the classification information to obtain pest sampling information;

基于CNN构建害虫识别模型,通过大数据检索获取各种害虫特征信息,对所述害虫识别模型进行深度学习和训练,将所述害虫采样信息输入至所述害虫识别模型中进行分析,得到害虫识别信息;Building a pest identification model based on CNN, acquiring various pest feature information through big data retrieval, performing deep learning and training on the pest identification model, inputting the pest sampling information into the pest identification model for analysis, and obtaining pest identification information;

预设害虫程度判断阈值,根据所述害虫识别信息提取各区域内的各种害虫数量和种类,与所述害虫程度判断阈值进行判断,得到害虫分析信息。A pest degree judgment threshold is preset, and the number and type of various pests in each area are extracted according to the pest identification information, and the pest degree judgment threshold is compared to obtain pest analysis information.

需要说明的是,进行害虫防控之前,首先需要对目标区域进行了解,分析目标区域的种植组成,根据各区域内的不同种类种植物与总种植物的比例将各区域进行划分,对于区域内的种植物都小于预设阈值的区域定于为混合种植区域。通过区域划分,能够更好的了解区域内的种植组成,从而能够了解区域内的容易出现的害虫。然后,对各区域进行害虫采样,通过采样手段进行详细的害虫分析,判断当前时间段各区域内存在的害虫种类和数量,从而为后续制定防控方案提供基础。It should be noted that before carrying out pest control, it is first necessary to understand the target area, analyze the planting composition of the target area, and divide each area according to the ratio of different types of plants to the total plants in each area. For areas where the number of plants in the area is less than the preset threshold, it is defined as a mixed planting area. Through regional division, we can better understand the planting composition in the area, so as to understand the pests that are prone to appear in the area. Then, pest sampling is carried out in each area, and a detailed pest analysis is carried out through sampling methods to determine the types and numbers of pests existing in each area in the current time period, thereby providing a basis for the subsequent formulation of prevention and control plans.

进一步的,在本发明的一个较佳实施例中,所述根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治,具体包括:Furthermore, in a preferred embodiment of the present invention, formulating a control plan based on the pest analysis information and performing pest control according to the control plan specifically includes:

基于大数据检索获取不同种类和程度的害虫性信息素防治实例,构成实例数据集;Based on big data retrieval, examples of pest pheromone control of different types and degrees are obtained to form an example data set;

获取害虫分析信息,将所述害虫分析信息与所述实例数据集进行相似的计算,获取相似度值,并与预设阈值进行判断,得到候选防控方案信息;Acquire pest analysis information, perform similarity calculation on the pest analysis information and the instance data set, obtain a similarity value, and make a judgment with a preset threshold to obtain candidate prevention and control plan information;

提取各候选防控方案的防控效果,作为权重,对各候选防控方案进行加权计算,并根据加权计算结果进行排序;Extract the prevention and control effects of each candidate prevention and control plan as a weight, perform weighted calculation on each candidate prevention and control plan, and rank them according to the weighted calculation results;

根据排序结果选取最终防控方案,根据最终防控方案进行害虫防治。The final prevention and control plan is selected based on the ranking results, and pest control is carried out according to the final prevention and control plan.

需要说明的是,对目标区域进行详细了解后,根据各区域的害虫程度和种类,需要制定害虫防控方案,此时,通过大数据检索获取各种害虫的历史防控方案,通过计算各区域内害虫种类和程度与历史防控方案采用时的场景相似度,来判断目标方案是否适用于该区域,此时,得到候选防控方案。对于候选防控方案的采用,需要关注各方案的防控效果,将各候选防控方案的防控效果作为权重进行加权计算,从而选取防控效果好的方案进行害虫防控。同时,针对不同区域的不同害虫种类和情况,各区域的防控方案中可能采取不仅限于一种信息素进行害虫防控。It should be noted that after a detailed understanding of the target area, pest control plans need to be formulated according to the degree and type of pests in each area. At this time, historical control plans for various pests are obtained through big data retrieval, and the similarity between the types and degrees of pests in each area and the scenarios when the historical control plans were adopted is calculated to determine whether the target plan is suitable for the area. At this time, candidate control plans are obtained. For the adoption of candidate control plans, it is necessary to pay attention to the control effect of each plan, and use the control effect of each candidate control plan as a weight for weighted calculation, so as to select a plan with good control effect for pest control. At the same time, according to different pest types and situations in different regions, the control plans of each region may adopt more than one pheromone for pest control.

进一步的,在本发明的一个较佳实施例中,所述进行害虫防治评估,得到害虫防治评估信息,具体包括:Furthermore, in a preferred embodiment of the present invention, the performing of pest control assessment to obtain pest control assessment information specifically includes:

基于大数据检索获取各种害虫防治评估指标,计算各评估指标与防治效果之间皮尔逊相关系数,作为相关性分析指标,与预设阈值进行判断,得到评估指标信息;Based on big data retrieval, various pest control evaluation indicators are obtained, and the Pearson correlation coefficient between each evaluation indicator and the control effect is calculated as a correlation analysis indicator, which is judged with the preset threshold to obtain the evaluation indicator information;

基于专家知识法根据评估指标信息获取各评估指标的影响度评分,引入直觉模糊分析法对各评估指标进行主观权重分配,根据影响度评分构建直觉模糊评估矩阵;Based on the expert knowledge method, the influence score of each evaluation indicator is obtained according to the evaluation indicator information, and the intuitive fuzzy analysis method is introduced to allocate subjective weights to each evaluation indicator, and the intuitive fuzzy evaluation matrix is constructed according to the influence score.

根据所述直觉模糊评估矩阵计算各评估指标的直觉模糊熵,通过直觉模糊熵计算各评估指标的直觉模糊数,对各评估指标进行主观权重分配,得到主观权重信息;Calculating the intuitionistic fuzzy entropy of each evaluation indicator according to the intuitionistic fuzzy evaluation matrix, calculating the intuitionistic fuzzy number of each evaluation indicator through the intuitionistic fuzzy entropy, assigning subjective weights to each evaluation indicator, and obtaining subjective weight information;

引入CRITIC法进行客观权重分配,根据各评估指标的影响度评分构建待评价矩阵,对所述待评价矩阵进行标准化,计算各评估指标的标准差和相关系数,通过计算得到的相关性系数对各评估指标进行升序排序;The CRITIC method is introduced to perform objective weight allocation, and a matrix to be evaluated is constructed according to the impact score of each evaluation indicator. The matrix to be evaluated is standardized, and the standard deviation and correlation coefficient of each evaluation indicator are calculated. The evaluation indicators are sorted in ascending order according to the calculated correlation coefficient.

根据排序结果构建有序向量,通过构建的有序向量计算各评估指标的差异系数,结合各评估指标的标准差和相关系数进行客观权重分配,得到客观权重信息;An ordered vector is constructed according to the sorting results, and the coefficient of difference of each evaluation index is calculated through the constructed ordered vector. The objective weight is assigned by combining the standard deviation and correlation coefficient of each evaluation index to obtain objective weight information;

基于博弈论法结合主观权重信息和客观权重信息对各指标进行权重组合,得到评估指标权重信息;Based on the game theory method, the subjective weight information and objective weight information are combined to weight each indicator and obtain the evaluation indicator weight information;

对目标区域进行害虫防治监测,获取害虫防治监测信息,结合所述评估指标权重信息对害虫防治进行评估,得到害虫防治评估信息。Pest control monitoring is performed on the target area to obtain pest control monitoring information, and pest control is evaluated in combination with the evaluation index weight information to obtain pest control evaluation information.

需要说明的是,在害虫防治评估过程中,常常需要综合考虑多个指标,以对害虫防治进行全面评估。首先,通过大数据检索获取各种与害虫防治相关的评估指标,例如害虫数量、害虫变化趋势等等,通过计算其与防治效果之间的皮尔逊相关系数,从相关性的角度筛选具有代表性的评估指标。接着,通过专家知识法获取各评估指标的影响度评分,所述影响度评分为相关领域专业人员对于某个指标影响某各评估对象的评分,引人直觉模糊分析法进行主观权重分析,构建直觉模糊矩阵,计算各评估指标的直觉模糊熵和直觉模糊数,进而分配主权权重。然后,通过CRITIC法进行客观权重分析,构建待评价矩阵,并对待评价矩阵进行标准化,计算各评估指标的标准差和相关系数。根据计算得到的相关性系数对各评估指标进行升序排序,并根据排序结果构建有序向量,计算各评估指标的差异系数,通过差异系数来平衡指标冲突性和对比度之间的比重,从而确定更加合理的评估权重。最后,通过博弈论法进行权重组合,从而得到最终权重,综合考虑各指标的评估主观性和客观性,从而使评估结果更为准确。It should be noted that in the process of pest control evaluation, it is often necessary to comprehensively consider multiple indicators to conduct a comprehensive evaluation of pest control. First, various evaluation indicators related to pest control are obtained through big data retrieval, such as the number of pests, pest change trends, etc., and representative evaluation indicators are screened from the perspective of correlation by calculating the Pearson correlation coefficient between them and the control effect. Then, the influence score of each evaluation indicator is obtained through the expert knowledge method. The influence score is the score of professionals in the relevant field on the impact of a certain indicator on a certain evaluation object. The intuitive fuzzy analysis method is introduced to perform subjective weight analysis, construct an intuitive fuzzy matrix, calculate the intuitive fuzzy entropy and intuitive fuzzy number of each evaluation indicator, and then allocate sovereign weights. Then, the objective weight analysis is performed through the CRITIC method, the matrix to be evaluated is constructed, and the matrix to be evaluated is standardized, and the standard deviation and correlation coefficient of each evaluation indicator are calculated. According to the calculated correlation coefficient, each evaluation indicator is sorted in ascending order, and an ordered vector is constructed according to the sorting result, and the difference coefficient of each evaluation indicator is calculated. The difference coefficient is used to balance the proportion between the conflict and contrast of the indicators, so as to determine a more reasonable evaluation weight. Finally, the weights are combined through game theory to obtain the final weights, taking into account the subjectivity and objectivity of the evaluation of each indicator, so that the evaluation results are more accurate.

需要说明的是,CRITIC法是一种用于客观赋权的评价方法。这种方法的核心思想是利用评价指标的对比强度(也称为波动性)和冲突性(也称为相关性)来综合评估指标的客观权重。对比强度是通过指标在不同评价方案之间的取值差距来衡量的,通常以标准差的形态出现。标准差越大,表明指标的波动性越大,因此权重通常会更高。相反,如果两个指标的相关系数较大,它们表现出较强的正相关或负相关,这表明它们的冲突性较小,从而权重也会相对较低。这种方法有助于减少由于某些指标相关性较强而导致的不必要的重复计算,它在考虑指标的变异性同时兼顾了指标之间的相关性,而不是单纯依赖于指标数值的大小来决定权重,从而提高评价结果的准确性。It should be noted that the CRITIC method is an evaluation method for objective weighting. The core idea of this method is to use the comparative strength (also called volatility) and conflict (also called correlation) of the evaluation indicators to comprehensively evaluate the objective weight of the indicators. The comparative strength is measured by the difference in the values of the indicators between different evaluation schemes, usually in the form of standard deviation. The larger the standard deviation, the greater the volatility of the indicator, so the weight is usually higher. On the contrary, if the correlation coefficient of two indicators is large, they show a strong positive or negative correlation, which indicates that they are less conflicting and thus have a relatively low weight. This method helps to reduce unnecessary repeated calculations due to the strong correlation of some indicators. It takes into account the variability of the indicators while taking into account the correlation between the indicators, rather than relying solely on the size of the indicator value to determine the weight, thereby improving the accuracy of the evaluation results.

进一步的,在本发明的一个较佳实施例中,所述根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,具体包括:Further, in a preferred embodiment of the present invention, judging whether the expected control effect is achieved according to the pest control evaluation information and analyzing the pest habits specifically include:

预设防治效果评估规则,获取害虫防治评估信息,与所述防治效果评估规则进行判断,分析是否达到预期防治效果;Preset pest control effect evaluation rules, obtain pest control evaluation information, and make judgments with the pest control effect evaluation rules to analyze whether the expected pest control effect is achieved;

若未达到预期防治效果,则进行害虫习性分析,并对防治方案进行优化;If the expected control effect is not achieved, the pest behavior analysis will be conducted and the control plan will be optimized;

获取害虫分析信息,对所述害虫分析信息进行特征区域,提取各区域内的害虫种类特征和程度特征,得到区域害虫特征信息;Acquire pest analysis information, perform feature region analysis on the pest analysis information, extract pest species characteristics and degree characteristics in each region, and obtain regional pest feature information;

基于专家分析法结合所述区域害虫特征信息进行害虫习性分析,分析不同种类害虫的出没偏好、生存偏好和交配偏好,得到害虫习性分析信息。Based on the expert analysis method combined with the regional pest characteristic information, pest habit analysis is performed to analyze the appearance preference, survival preference and mating preference of different types of pests to obtain pest habit analysis information.

需要说明的是,对害虫防控进行评估后,需要判断当前的防治效果是否达到了预期效果,例如是否有效抑制害虫程度等。通过预设防治效果评估规则,将进行评估后得到的害虫防治评估信息与其进行判断,从而分析是否达到了预期防治效果。若未能达到防治效果,则需要进行防治方案优化。分析出现在目标区域内的各种害虫的习性,出没偏好、生存偏好和交配偏好,所述出没偏好为害虫出没时间、地点、气候等,所述生存偏好为害虫偏好生存的位置、温度等等,例如某些害虫喜欢生存在潮湿区域,所述交配偏好为害虫交配时的偏好,例如夜晚或者某些环境区域等等。通过分析害虫习性,能够进一步了解害虫的信息,为后续防控方案优化提供基础。It should be noted that after evaluating pest control, it is necessary to judge whether the current control effect has achieved the expected effect, such as whether the pests are effectively suppressed. By presetting the control effect evaluation rules, the pest control evaluation information obtained after the evaluation is judged with it to analyze whether the expected control effect has been achieved. If the control effect is not achieved, it is necessary to optimize the control plan. Analyze the habits, appearance preferences, survival preferences and mating preferences of various pests appearing in the target area. The appearance preferences are the time, location, climate, etc. of the pests. The survival preferences are the location, temperature, etc. where the pests prefer to survive. For example, some pests like to live in humid areas. The mating preferences are the preferences of pests when mating, such as at night or in certain environmental areas, etc. By analyzing the habits of pests, we can further understand the information of pests and provide a basis for the optimization of subsequent control plans.

进一步的,在本发明的一个较佳实施例中,所述对防控方案进行优化,具体包括:Furthermore, in a preferred embodiment of the present invention, the optimization of the prevention and control scheme specifically includes:

获取区域地理信息和区域气象信息,结合所述害虫习性分析信息分析各子区域内是否存在害虫适生区域,计算所述害虫习性分析信息与区域地理信息的相似度,作为分析指标;Acquire regional geographic information and regional meteorological information, analyze whether there is a suitable pest habitat in each sub-region in combination with the pest habit analysis information, and calculate the similarity between the pest habit analysis information and the regional geographic information as an analysis index;

将计算得到的相似度值与预设阈值进行判断,根据判断结果分析是否存在害虫适生区域,得到害虫适生区域信息;The calculated similarity value is judged with a preset threshold, and according to the judgment result, it is analyzed whether there is an area suitable for pests to obtain information on the area suitable for pests;

根据所述害虫习性分析信息提取害虫的出没偏好和交配偏好,计算与所述害虫适生区域信息的皮尔逊相关系数,作为滋生区域分析指标,分析各适生区域是否为害虫滋生区域,得到滋生区域分析信息;Extracting the appearance preference and mating preference of pests according to the pest habit analysis information, calculating the Pearson correlation coefficient with the pest suitable habitat information as a breeding area analysis index, analyzing whether each suitable habitat area is a pest breeding area, and obtaining breeding area analysis information;

构建害虫活跃预测模型,将所述害虫习性分析信息、区域气象信息、滋生区域信息和害虫适生区域信息输入至所述害虫活跃预测模型中进行分析,预测未来时间段内各区域的害虫活跃情况,得到害虫活跃预测信息;Constructing a pest activity prediction model, inputting the pest habit analysis information, regional meteorological information, breeding area information and pest suitable area information into the pest activity prediction model for analysis, predicting the pest activity in each area in the future time period, and obtaining pest activity prediction information;

将害虫活跃程度作为区域防控力度的评估指标,预设活跃程度判断阈值,将所述害虫活跃预测信息与所述活跃程度判断阈值进行判断,对各区域进行防控等级划分,得到防控力度评估信息;The pest activity level is used as an evaluation indicator of regional prevention and control strength, a preset activity level judgment threshold is set, the pest activity prediction information is judged with the activity level judgment threshold, and each area is divided into prevention and control levels to obtain prevention and control strength evaluation information;

根据所述防控力度评估信息和害虫活跃预测信息进行防控方案优化,根据各区域的防控力度和害虫活跃特征对防控方案进行优化,得到初始优化方案信息;Optimizing the control plan based on the control intensity assessment information and the pest activity prediction information, optimizing the control plan based on the control intensity and pest activity characteristics of each area, and obtaining initial optimization plan information;

根据所述初始优化方案信息计算各初始优化方案的成本,作为权重对各初始优化方案进行加权计算,并进行排序,根据排序结果选取最终优化方案进行害虫防控。The cost of each initial optimization scheme is calculated according to the initial optimization scheme information, and each initial optimization scheme is weightedly calculated as a weight and sorted. The final optimization scheme is selected for pest control according to the sorting result.

需要说明的是,进行害虫习性分析后,对于目标区域内的各种害虫有了详细的了解,此时,基于目标区域内的地理环境信息分析是否存在害虫适生区域,通过计算害虫习性分析信息和区域地理信息的相似度,来分析目标区域内的各子区域内是否存在与害虫生存习性相似度地理环境,得到害虫适生区域信息,对于害虫适生区域,可以表明该区域为害虫出没区域,即出没偏好和生存偏好,从而能够从生存位置下手,进而精确的针对害虫进行防治。然后,提取害虫的出没偏好和交配偏好,结合害虫适生区域信息分析害虫的滋生区域,从而分析害虫可能会在某些区域进行繁殖行为,进而使信息素设备投放更有针对性。接着,构建害虫活跃预测模型,可以通过CNN进行模型构建,根据大数据检索获取历史数据来进行训练,所述害虫活跃预测模型包括输入层、输出层和卷积层,通过害虫习性信息、区域气象信息、滋生区域信息和害虫适生区域信息进行预测,分析当前气候下,害虫的活跃程度,即各区域害虫出现程度的概率。最后,根据害虫活跃程度预测信息进行防控方案优化,对活跃程度高的区域,采取优化策略,如增大性信息素诱捕设备的投放量等等,从而做到针对性的进行还会从防控,避免盲目投放防控设备而浪费资源,提高害虫防治效果。It should be noted that after the pest habit analysis, a detailed understanding of the various pests in the target area is obtained. At this time, based on the geographical environment information in the target area, whether there is a suitable area for pests is analyzed. By calculating the similarity between the pest habit analysis information and the regional geographical information, it is analyzed whether there is a geographical environment similar to the pest survival habits in each sub-area in the target area, and the information of the suitable area for pests is obtained. For the suitable area for pests, it can be indicated that the area is a pest infestation area, that is, the infestation preference and survival preference, so that the pests can be accurately controlled from the survival position. Then, the infestation preference and mating preference of the pests are extracted, and the pest breeding area is analyzed in combination with the information of the suitable area for pests, so as to analyze that the pests may perform reproduction behavior in certain areas, so as to make the placement of pheromone equipment more targeted. Next, a pest activity prediction model is constructed. The model can be constructed through CNN, and historical data is retrieved based on big data for training. The pest activity prediction model includes an input layer, an output layer, and a convolution layer. It predicts pest habit information, regional meteorological information, breeding area information, and pest suitable area information, and analyzes the pest activity level under the current climate, that is, the probability of pest appearance in each region. Finally, the prevention and control plan is optimized based on the pest activity prediction information. For areas with high activity, optimization strategies are adopted, such as increasing the amount of pheromone trapping equipment, etc., so as to achieve targeted prevention and control, avoid blindly placing prevention and control equipment and wasting resources, and improve the pest control effect.

图2为本发明一实施例提供的基于信性信息素受体的害虫防控流程图;FIG2 is a flowchart of pest control based on pheromone receptors according to an embodiment of the present invention;

如图2所示,本发明提供了基于信性信息素受体的害虫防控流程图,包括:As shown in FIG2 , the present invention provides a pest control flow chart based on pheromone receptors, including:

S202,对各目标区域进行划分,进行害虫采样,分析各子区域内出现的害虫种类和数量;S202, dividing each target area, sampling pests, and analyzing the types and quantities of pests in each sub-area;

S204,根据各子区域内的害虫种类和数量进行防控方案制定,根据制定的防控方案进行害虫方案;S204, formulating a control plan based on the types and numbers of pests in each sub-area, and implementing a pest control plan based on the formulated control plan;

S206,进行害虫防治监测和评估,分析是否达到预期防治效果;S206, conduct pest control monitoring and evaluation to analyze whether the expected control effect has been achieved;

S208,若未能达到预期防治效果,则分析害虫习性,根据害虫习性分析信息分析适生区域和滋生区域;S208, if the expected control effect is not achieved, the habits of the pests are analyzed, and suitable habitats and breeding areas are analyzed based on the pest habit analysis information;

S210,结合区域气象信息进行害虫活跃度预测,根据预测结果进行害虫防控方案优化,根据优化方案进行精确防控。S210, predicting pest activity in combination with regional meteorological information, optimizing pest control plans based on the prediction results, and performing precise control based on the optimized plans.

需要说明的是,在发现区域内存在害虫后,分析区域内害虫种类和数量,选取对应的性信息素受体进行诱捕并制定投放量。针对不同程度的虫害,如若防治效果达到预期效果,则代表害虫防治处于成功阶段,不需要进行过多的干预,只需要进行性信息素的补充即可。对于采取防控措施后,防治效果未能达到预期或者防治时间较长的情况,则需要进行优化。在害虫防治中,对于害虫防治装置的投放和使用是影响害虫防治效果的重要因素,分析害虫可能出现的区域以及适宜害虫滋生繁殖的区域,从而能够更好的利用性信息素进行诱捕,实现精准防控,提高防控效果。It should be noted that after discovering the presence of pests in the area, the types and numbers of pests in the area are analyzed, and the corresponding sex pheromone receptors are selected for trapping and the release amount is determined. For different degrees of pests, if the prevention and control effect reaches the expected effect, it means that the pest control is in a successful stage and does not require too much intervention. Only the supplementation of sex pheromones is required. If the prevention and control effect fails to meet expectations or the prevention and control time is long after taking prevention and control measures, optimization is required. In pest control, the placement and use of pest control devices are important factors affecting the effectiveness of pest control. Analyzing the areas where pests may appear and the areas suitable for pest breeding and reproduction can better utilize sex pheromones for trapping, achieve precise prevention and control, and improve the prevention and control effect.

此外,所述一种基于性信息素受体的害虫防控与评估方法,还包括以下步骤:In addition, the pest control and assessment method based on sex pheromone receptors further includes the following steps:

对进行害虫防控后的目标区域进行监测,获取防控监测信息,根据所述防控监测信息进行害虫变化趋势分析,构建害虫变化趋势图;Monitor the target area after pest control, obtain control monitoring information, analyze pest change trends based on the control monitoring information, and construct a pest change trend map;

根据所述害虫变化趋势图计算害虫变化速率,通过害虫变化速率预测达到预期防治效果的消耗时间,得到第一分析信息;Calculate the pest change rate according to the pest change trend graph, and predict the time required to achieve the expected control effect through the pest change rate to obtain first analysis information;

结合害虫变化速率和第一分析信息进行害虫防控阶段划分,根据害虫变化速率将到达预期防治效果的消耗时间划分为不同的阶段,并计算各阶段内害虫减少数量,得到第二分析信息;The pest control stage is divided according to the pest change rate and the first analysis information. The time required to achieve the expected control effect is divided into different stages according to the pest change rate, and the number of pests reduced in each stage is calculated to obtain the second analysis information.

构建种植物影响分析模型,将第二分析信息和害虫变化速率输入至种植物影响分析模型中进行分析,分析在达到预期防治效果前目标区域内的种植物受到影响程度,得到种植物影响分析信息;Constructing a plant impact analysis model, inputting the second analysis information and the pest change rate into the plant impact analysis model for analysis, analyzing the extent to which the plants in the target area are affected before the expected control effect is achieved, and obtaining plant impact analysis information;

将所述种植物影响分析信息与预设阈值进行判断,判断是否处于承受范围,得到第一判断结果信息;The plant impact analysis information is compared with a preset threshold value to determine whether it is within the tolerance range, and obtain first judgment result information;

若所述第一判断结果信息为超出承受范围,则根据所述种植物影响分析信息生成预警报告,提示需要提高防控力度。If the first judgment result information is beyond the tolerance range, a warning report is generated according to the plant impact analysis information, indicating the need to increase prevention and control efforts.

图3为本发明一实施例提供的一种基于性信息素受体的害虫防控与评估系统3,该系统包括:存储器31、处理器32,所述存储器31中包含基于性信息素受体的害虫防控与评估方法程序,所述基于性信息素受体的害虫防控与评估方法程序被所述处理器32执行时实现如下步骤:FIG3 is a pest control and assessment system 3 based on sex pheromone receptors provided by an embodiment of the present invention. The system comprises: a memory 31 and a processor 32. The memory 31 contains a pest control and assessment method program based on sex pheromone receptors. When the pest control and assessment method program based on sex pheromone receptors is executed by the processor 32, the following steps are implemented:

对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,得到害虫分析信息;Divide the target area, conduct pest sampling based on the division results, analyze the degree and type of pests in each area, and obtain pest analysis information;

根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;Formulate a pest control plan based on the pest analysis information, and perform pest control according to the pest control plan;

进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估,得到害虫防治评估信息;Conduct pest control monitoring, introduce intuitive fuzzy analysis and CRITIC method to determine evaluation weights, conduct pest control evaluation, and obtain pest control evaluation information;

根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。Based on the pest control assessment information, determine whether the expected control effect has been achieved, conduct pest behavior analysis, and optimize the control plan.

在本申请所提供的几个实施例中,应该理解到,所揭露的设备和方法,可以通过其它的方式实现。以上所描述的设备实施例仅仅是示意性的,例如,所述单元的划分,仅仅为一种逻辑功能划分,实际实现时可以有另外的划分方式,如:多个单元或组件可以结合,或可以集成到另一个系统,或一些特征可以忽略,或不执行。另外,所显示或讨论的各组成部分相互之间的耦合、或直接耦合、或通信连接可以是通过一些接口,设备或单元的间接耦合或通信连接,可以是电性的、机械的或其它形式的。In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

上述作为分离部件说明的单元可以是、或也可以不是物理上分开的,作为单元显示的部件可以是、或也可以不是物理单元;既可以位于一个地方,也可以分布到多个网络单元上;可以根据实际的需要选择其中的部分或全部单元来实现本实施例方案的目的。The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

另外,在本发明各实施例中的各功能单元可以全部集成在一个处理单元中,也可以是各单元分别单独作为一个单元,也可以两个或两个以上单元集成在一个单元中;上述集成的单元既可以采用硬件的形式实现,也可以采用硬件加软件功能单元的形式实现。In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

本领域普通技术人员可以理解:实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成,前述的程序可以存储于计算机可读取存储介质中,该程序在执行时,执行包括上述方法实施例的步骤;而前述的存储介质包括:移动存储设备、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

或者,本发明上述集成的单元如果以软件功能模块的形式实现并作为独立的产品销售或使用时,也可以存储在一个计算机可读取存储介质中。基于这样的理解,本发明实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来,该计算机软件产品存储在一个存储介质中,包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本发明各个实施例所述方法的全部或部分。而前述的存储介质包括:移动存储设备、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

以上所述,仅为本发明的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本发明揭露的技术范围内,可轻易想到变化或替换,都应涵盖在本发明的保护范围之内。因此,本发明的保护范围应以所述权利要求的保护范围为准。The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (10)

1.一种基于性信息素受体的害虫防控与评估方法,其特征在于,包括:1. A pest control and assessment method based on sex pheromone receptors, comprising: 对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,得到害虫分析信息;Divide the target area, conduct pest sampling based on the division results, analyze the degree and type of pests in each area, and obtain pest analysis information; 根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;Formulate a pest control plan based on the pest analysis information, and perform pest control according to the pest control plan; 进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估,得到害虫防治评估信息;Conduct pest control monitoring, introduce intuitive fuzzy analysis and CRITIC method to determine evaluation weights, conduct pest control evaluation, and obtain pest control evaluation information; 根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。Based on the pest control assessment information, determine whether the expected control effect has been achieved, conduct pest behavior analysis, and optimize the control plan. 2.根据权利要求1所述的一种基于性信息素受体的害虫防控与评估方法,其特征在于,所述对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,具体包括:2. A pest control and assessment method based on sex pheromone receptors according to claim 1, characterized in that the target area is divided, pest sampling is carried out according to the division results, and the degree and type of pests in each area are analyzed, specifically including: 获取目标区域位置信息,根据所述目标区域位置信息对目标区域进行划分,将目标区域划分为若干个子区域;Acquire the target area location information, divide the target area according to the target area location information, and divide the target area into a plurality of sub-areas; 预设分类阈值,提取各自取中的种植信息,计算各区域内的各种种植物与总种植物的比例,与分类阈值进行判断,根据判断结果对各子区域进行类别划分,得到类别划分信息;Preset the classification threshold, extract the planting information of each area, calculate the ratio of each plant species to the total plant species in each area, make a judgment with the classification threshold, and classify each sub-area according to the judgment result to obtain the classification information; 若某子区域内的各种植物与总种植物的比例小于分类阈值,则将对应区域定义为混合种植区域;If the ratio of each plant species to the total plant species in a sub-area is less than the classification threshold, the corresponding area is defined as a mixed planting area; 根据所述类别划分信息对各子区域进行害虫采样,得到害虫采样信息;Pest sampling is performed in each sub-area according to the classification information to obtain pest sampling information; 基于CNN构建害虫识别模型,通过大数据检索获取各种害虫特征信息,对所述害虫识别模型进行深度学习和训练,将所述害虫采样信息输入至所述害虫识别模型中进行分析,得到害虫识别信息;Building a pest identification model based on CNN, acquiring various pest feature information through big data retrieval, performing deep learning and training on the pest identification model, inputting the pest sampling information into the pest identification model for analysis, and obtaining pest identification information; 预设害虫程度判断阈值,根据所述害虫识别信息提取各区域内的各种害虫数量和种类,与所述害虫程度判断阈值进行判断,得到害虫分析信息。A pest degree judgment threshold is preset, and the number and type of various pests in each area are extracted according to the pest identification information, and the pest degree judgment threshold is compared to obtain pest analysis information. 3.根据权利要求1所述的一种基于性信息素受体的害虫防控与评估方法,其特征在于,所述根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治,具体包括:3. A pest control and assessment method based on sex pheromone receptors according to claim 1, characterized in that the pest control plan is formulated according to the pest analysis information, and pest control is performed according to the pest control plan, specifically comprising: 基于大数据检索获取不同种类和程度的害虫性信息素防治实例,构成实例数据集;Based on big data retrieval, examples of pest pheromone control of different types and degrees are obtained to form an example data set; 获取害虫分析信息,将所述害虫分析信息与所述实例数据集进行相似的计算,获取相似度值,并与预设阈值进行判断,得到候选防控方案信息;Acquire pest analysis information, perform similarity calculation on the pest analysis information and the instance data set, obtain a similarity value, and make a judgment with a preset threshold to obtain candidate prevention and control plan information; 提取各候选防控方案的防控效果,作为权重,对各候选防控方案进行加权计算,并根据加权计算结果进行排序;Extract the prevention and control effects of each candidate prevention and control plan as a weight, perform weighted calculation on each candidate prevention and control plan, and rank them according to the weighted calculation results; 根据排序结果选取最终防控方案,根据最终防控方案进行害虫防治。The final prevention and control plan is selected based on the ranking results, and pest control is carried out according to the final prevention and control plan. 4.根据权利要求1所述的一种基于性信息素受体的害虫防控与评估方法,其特征在于,所述进行害虫防治评估,得到害虫防治评估信息,具体包括:4. A pest control and assessment method based on sex pheromone receptors according to claim 1, characterized in that the pest control assessment is performed to obtain pest control assessment information, specifically comprising: 基于大数据检索获取各种害虫防治评估指标,计算各评估指标与防治效果之间皮尔逊相关系数,作为相关性分析指标,与预设阈值进行判断,得到评估指标信息;Based on big data retrieval, various pest control evaluation indicators are obtained, and the Pearson correlation coefficient between each evaluation indicator and the control effect is calculated as a correlation analysis indicator, which is judged with the preset threshold to obtain the evaluation indicator information; 基于专家知识法根据评估指标信息获取各评估指标的影响度评分,引入直觉模糊分析法对各评估指标进行主观权重分配,根据影响度评分构建直觉模糊评估矩阵;Based on the expert knowledge method, the influence score of each evaluation indicator is obtained according to the evaluation indicator information, and the intuitive fuzzy analysis method is introduced to allocate subjective weights to each evaluation indicator, and the intuitive fuzzy evaluation matrix is constructed according to the influence score. 根据所述直觉模糊评估矩阵计算各评估指标的直觉模糊熵,通过直觉模糊熵计算各评估指标的直觉模糊数,对各评估指标进行主观权重分配,得到主观权重信息;Calculating the intuitionistic fuzzy entropy of each evaluation indicator according to the intuitionistic fuzzy evaluation matrix, calculating the intuitionistic fuzzy number of each evaluation indicator through the intuitionistic fuzzy entropy, assigning subjective weights to each evaluation indicator, and obtaining subjective weight information; 引入CRITIC法进行客观权重分配,根据各评估指标的影响度评分构建待评价矩阵,对所述待评价矩阵进行标准化,计算各评估指标的标准差和相关系数,通过计算得到的相关性系数对各评估指标进行升序排序;The CRITIC method is introduced to perform objective weight allocation, and a matrix to be evaluated is constructed according to the impact score of each evaluation indicator. The matrix to be evaluated is standardized, and the standard deviation and correlation coefficient of each evaluation indicator are calculated. The evaluation indicators are sorted in ascending order according to the calculated correlation coefficient. 根据排序结果构建有序向量,通过构建的有序向量计算各评估指标的差异系数,结合各评估指标的标准差和相关系数进行客观权重分配,得到客观权重信息;An ordered vector is constructed according to the sorting results, and the coefficient of difference of each evaluation index is calculated through the constructed ordered vector. The objective weight is assigned by combining the standard deviation and correlation coefficient of each evaluation index to obtain objective weight information; 基于博弈论法结合主观权重信息和客观权重信息对各指标进行权重组合,得到评估指标权重信息;Based on the game theory method, the subjective weight information and objective weight information are combined to weight each indicator and obtain the evaluation indicator weight information; 对目标区域进行害虫防治监测,获取害虫防治监测信息,结合所述评估指标权重信息对害虫防治进行评估,得到害虫防治评估信息。Pest control monitoring is performed on the target area to obtain pest control monitoring information, and pest control is evaluated in combination with the evaluation index weight information to obtain pest control evaluation information. 5.根据权利要求1所述的一种基于性信息素受体的害虫防控与评估方法,其特征在于,所述根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,具体包括:5. A pest control and evaluation method based on sex pheromone receptors according to claim 1, characterized in that the step of judging whether the expected control effect is achieved according to the pest control evaluation information and analyzing the pest habits specifically comprises: 预设防治效果评估规则,获取害虫防治评估信息,与所述防治效果评估规则进行判断,分析是否达到预期防治效果;Preset pest control effect evaluation rules, obtain pest control evaluation information, and make judgments with the pest control effect evaluation rules to analyze whether the expected pest control effect is achieved; 若未达到预期防治效果,则进行害虫习性分析,并对防治方案进行优化;If the expected control effect is not achieved, the pest behavior analysis will be conducted and the control plan will be optimized; 获取害虫分析信息,对所述害虫分析信息进行特征区域,提取各区域内的害虫种类特征和程度特征,得到区域害虫特征信息;Acquire pest analysis information, perform feature region analysis on the pest analysis information, extract pest species characteristics and degree characteristics in each region, and obtain regional pest feature information; 基于专家分析法结合所述区域害虫特征信息进行害虫习性分析,分析不同种类害虫的出没偏好、生存偏好和交配偏好,得到害虫习性分析信息。Based on the expert analysis method combined with the regional pest characteristic information, pest habit analysis is performed to analyze the appearance preference, survival preference and mating preference of different types of pests to obtain pest habit analysis information. 6.根据权利要求1所述的一种基于性信息素受体的害虫防控与评估方法,其特征在于,所述对防控方案进行优化,具体包括:6. A pest control and assessment method based on sex pheromone receptors according to claim 1, characterized in that the optimization of the control scheme specifically includes: 获取区域地理信息和区域气象信息,结合所述害虫习性分析信息分析各子区域内是否存在害虫适生区域,计算所述害虫习性分析信息与区域地理信息的相似度,作为分析指标;Acquire regional geographic information and regional meteorological information, analyze whether there is a suitable pest habitat in each sub-region in combination with the pest habit analysis information, and calculate the similarity between the pest habit analysis information and the regional geographic information as an analysis index; 将计算得到的相似度值与预设阈值进行判断,根据判断结果分析是否存在害虫适生区域,得到害虫适生区域信息;The calculated similarity value is judged with a preset threshold, and according to the judgment result, it is analyzed whether there is an area suitable for pests to obtain information on the area suitable for pests; 根据所述害虫习性分析信息提取害虫的出没偏好和交配偏好,计算与所述害虫适生区域信息的皮尔逊相关系数,作为滋生区域分析指标,分析各适生区域是否为害虫滋生区域,得到滋生区域分析信息;Extracting the appearance preference and mating preference of pests according to the pest habit analysis information, calculating the Pearson correlation coefficient with the pest suitable habitat information as a breeding area analysis index, analyzing whether each suitable habitat area is a pest breeding area, and obtaining breeding area analysis information; 构建害虫活跃预测模型,将所述害虫习性分析信息、区域气象信息、滋生区域信息和害虫适生区域信息输入至所述害虫活跃预测模型中进行分析,预测未来时间段内各区域的害虫活跃情况,得到害虫活跃预测信息;Constructing a pest activity prediction model, inputting the pest habit analysis information, regional meteorological information, breeding area information and pest suitable area information into the pest activity prediction model for analysis, predicting the pest activity in each area in the future time period, and obtaining pest activity prediction information; 将害虫活跃程度作为区域防控力度的评估指标,预设活跃程度判断阈值,将所述害虫活跃预测信息与所述活跃程度判断阈值进行判断,对各区域进行防控等级划分,得到防控力度评估信息;The pest activity level is used as an evaluation indicator of regional prevention and control strength, a preset activity level judgment threshold is set, the pest activity prediction information is judged with the activity level judgment threshold, and each area is divided into prevention and control levels to obtain prevention and control strength evaluation information; 根据所述防控力度评估信息和害虫活跃预测信息进行防控方案优化,根据各区域的防控力度和害虫活跃特征对防控方案进行优化,得到初始优化方案信息;Optimizing the control plan based on the control intensity assessment information and the pest activity prediction information, optimizing the control plan based on the control intensity and pest activity characteristics of each area, and obtaining initial optimization plan information; 根据所述初始优化方案信息计算各初始优化方案的成本,作为权重对各初始优化方案进行加权计算,并进行排序,根据排序结果选取最终优化方案进行害虫防控。The cost of each initial optimization scheme is calculated according to the initial optimization scheme information, and each initial optimization scheme is weightedly calculated and sorted as a weight, and a final optimization scheme is selected for pest control according to the sorting result. 7.一种基于性信息素受体的害虫防控与评估系统,其特征在于,该系统包括:存储器、处理器,所述存储器中包含基于性信息素受体的害虫防控与评估方法程序,所述基于性信息素受体的害虫防控与评估方法程序被所述处理器执行时实现如下步骤:7. A pest control and evaluation system based on sex pheromone receptors, characterized in that the system comprises: a memory and a processor, wherein the memory contains a pest control and evaluation method program based on sex pheromone receptors, and when the pest control and evaluation method program based on sex pheromone receptors is executed by the processor, the following steps are implemented: 对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,得到害虫分析信息;Divide the target area, conduct pest sampling based on the division results, analyze the degree and type of pests in each area, and obtain pest analysis information; 根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治;Formulate a pest control plan based on the pest analysis information, and perform pest control according to the pest control plan; 进行害虫防治监测,引入直觉模糊分析法和CRITIC法确定评估权重,进行害虫防治评估,得到害虫防治评估信息;Conduct pest control monitoring, introduce intuitive fuzzy analysis and CRITIC method to determine evaluation weights, conduct pest control evaluation, and obtain pest control evaluation information; 根据所述害虫防治评估信息判断是否达到预期防治效果,进行害虫习性分析,并对防控方案进行优化。Based on the pest control assessment information, determine whether the expected control effect has been achieved, conduct pest behavior analysis, and optimize the control plan. 8.根据权利要求7所述的一种基于性信息素受体的害虫防控与评估系统,其特征在于,所述对目标区域进行划分,根据划分结果进行害虫采样,分析各区域内的害虫程度和种类,具体包括:8. A pest control and assessment system based on sex pheromone receptors according to claim 7, characterized in that the target area is divided, pest sampling is carried out according to the division results, and the degree and type of pests in each area are analyzed, specifically including: 获取目标区域位置信息,根据所述目标区域位置信息对目标区域进行划分,将目标区域划分为若干个子区域;Acquire the target area location information, divide the target area according to the target area location information, and divide the target area into a plurality of sub-areas; 预设分类阈值,提取各自取中的种植信息,计算各区域内的各种种植物与总种植物的比例,与分类阈值进行判断,根据判断结果对各子区域进行类别划分,得到类别划分信息;Preset the classification threshold, extract the planting information of each area, calculate the ratio of each plant species to the total plant species in each area, make a judgment with the classification threshold, and classify each sub-area according to the judgment result to obtain the classification information; 若某子区域内的各种植物与总种植物的比例小于分类阈值,则将对应区域定义为混合种植区域;If the ratio of each plant species to the total plant species in a sub-area is less than the classification threshold, the corresponding area is defined as a mixed planting area; 根据所述类别划分信息对各子区域进行害虫采样,得到害虫采样信息;Pest sampling is performed in each sub-area according to the classification information to obtain pest sampling information; 基于CNN构建害虫识别模型,通过大数据检索获取各种害虫特征信息,对所述害虫识别模型进行深度学习和训练,将所述害虫采样信息输入至所述害虫识别模型中进行分析,得到害虫识别信息;Building a pest identification model based on CNN, acquiring various pest feature information through big data retrieval, performing deep learning and training on the pest identification model, inputting the pest sampling information into the pest identification model for analysis, and obtaining pest identification information; 预设害虫程度判断阈值,根据所述害虫识别信息提取各区域内的各种害虫数量和种类,与所述害虫程度判断阈值进行判断,得到害虫分析信息。A pest degree judgment threshold is preset, and the number and type of various pests in each area are extracted according to the pest identification information, and the pest degree judgment threshold is compared to obtain pest analysis information. 9.根据权利要求7所述的一种基于性信息素受体的害虫防控与评估系统,其特征在于,所述根据所述害虫分析信息制定防控方案,根据防控方案进行害虫防治,具体包括:9. A pest control and assessment system based on sex pheromone receptors according to claim 7, characterized in that the formulation of a control plan based on the pest analysis information and the pest control according to the control plan specifically include: 基于大数据检索获取不同种类和程度的害虫性信息素防治实例,构成实例数据集;Based on big data retrieval, examples of pest pheromone control of different types and degrees are obtained to form an example data set; 获取害虫分析信息,将所述害虫分析信息与所述实例数据集进行相似的计算,获取相似度值,并与预设阈值进行判断,得到候选防控方案信息;Acquire pest analysis information, perform similarity calculation on the pest analysis information and the instance data set, obtain a similarity value, and make a judgment with a preset threshold to obtain candidate prevention and control plan information; 提取各候选防控方案的防控效果,作为权重,对各候选防控方案进行加权计算,并根据加权计算结果进行排序;Extract the prevention and control effects of each candidate prevention and control plan as a weight, perform weighted calculation on each candidate prevention and control plan, and rank them according to the weighted calculation results; 根据排序结果选取最终防控方案,根据最终防控方案进行害虫防治。The final prevention and control plan is selected based on the ranking results, and pest control is carried out according to the final prevention and control plan. 10.根据权利要求7所述的一种基于性信息素受体的害虫防控与评估系统,其特征在于,所述进行害虫防治评估,得到害虫防治评估信息,具体包括:10. A pest control and assessment system based on sex pheromone receptors according to claim 7, characterized in that the pest control assessment is performed to obtain pest control assessment information, specifically including: 基于大数据检索获取各种害虫防治评估指标,计算各评估指标与防治效果之间皮尔逊相关系数,作为相关性分析指标,与预设阈值进行判断,得到评估指标信息;Based on big data retrieval, various pest control evaluation indicators are obtained, and the Pearson correlation coefficient between each evaluation indicator and the control effect is calculated as a correlation analysis indicator, which is judged with the preset threshold to obtain the evaluation indicator information; 基于专家知识法根据评估指标信息获取各评估指标的影响度评分,引入直觉模糊分析法对各评估指标进行主观权重分配,根据影响度评分构建直觉模糊评估矩阵;Based on the expert knowledge method, the influence score of each evaluation indicator is obtained according to the evaluation indicator information, and the intuitive fuzzy analysis method is introduced to allocate subjective weights to each evaluation indicator, and the intuitive fuzzy evaluation matrix is constructed according to the influence score. 根据所述直觉模糊评估矩阵计算各评估指标的直觉模糊熵,通过直觉模糊熵计算各评估指标的直觉模糊数,对各评估指标进行主观权重分配,得到主观权重信息;Calculating the intuitionistic fuzzy entropy of each evaluation indicator according to the intuitionistic fuzzy evaluation matrix, calculating the intuitionistic fuzzy number of each evaluation indicator through the intuitionistic fuzzy entropy, assigning subjective weights to each evaluation indicator, and obtaining subjective weight information; 引入CRITIC法进行客观权重分配,根据各评估指标的影响度评分构建待评价矩阵,对所述待评价矩阵进行标准化,计算各评估指标的标准差和相关系数,通过计算得到的相关性系数对各评估指标进行升序排序;The CRITIC method is introduced to perform objective weight allocation, and a matrix to be evaluated is constructed according to the impact score of each evaluation indicator. The matrix to be evaluated is standardized, and the standard deviation and correlation coefficient of each evaluation indicator are calculated. The evaluation indicators are sorted in ascending order according to the calculated correlation coefficient. 根据排序结果构建有序向量,通过构建的有序向量计算各评估指标的差异系数,结合各评估指标的标准差和相关系数进行客观权重分配,得到客观权重信息;An ordered vector is constructed according to the sorting results, and the coefficient of difference of each evaluation index is calculated through the constructed ordered vector. The objective weight is assigned by combining the standard deviation and correlation coefficient of each evaluation index to obtain objective weight information; 基于博弈论法结合主观权重信息和客观权重信息对各指标进行权重组合,得到评估指标权重信息;Based on the game theory method, the subjective weight information and objective weight information are combined to weight each indicator and obtain the evaluation indicator weight information; 对目标区域进行害虫防治监测,获取害虫防治监测信息,结合所述评估指标权重信息对害虫防治进行评估,得到害虫防治评估信息。Pest control monitoring is performed on the target area to obtain pest control monitoring information, and pest control is evaluated in combination with the evaluation index weight information to obtain pest control evaluation information.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118537758A (en) * 2024-06-06 2024-08-23 广东省农业科学院植物保护研究所 Corn important pest hazard detection method and system based on unmanned aerial vehicle cruising

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111861109A (en) * 2020-06-08 2020-10-30 中南林业科技大学 Forest health assessment method based on entropy weight-cloud model
CN115169750A (en) * 2022-09-01 2022-10-11 广东省农业科学院植物保护研究所 Lepidoptera pest control method, system and medium based on Internet of things
CN116681166A (en) * 2023-06-01 2023-09-01 浙江科技学院 Pest prediction system based on machine learning algorithm
CN116686814A (en) * 2023-07-27 2023-09-05 山西农业大学 A spraying control method, system and medium of a plant protection drone
CN116740645A (en) * 2023-07-03 2023-09-12 广东省农业科学院植物保护研究所 Fruit fly monitoring and comprehensive prevention and control method, system and storage medium based on Internet of things
CN117173400A (en) * 2023-11-03 2023-12-05 广东省农业科学院植物保护研究所 Low-carbon treatment scheme recommendation method and system for litchi insect pest
CN118266360A (en) * 2024-05-30 2024-07-02 安徽农业大学 Fruit tree pest control method and system based on bioinformatics

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111861109A (en) * 2020-06-08 2020-10-30 中南林业科技大学 Forest health assessment method based on entropy weight-cloud model
CN115169750A (en) * 2022-09-01 2022-10-11 广东省农业科学院植物保护研究所 Lepidoptera pest control method, system and medium based on Internet of things
CN116681166A (en) * 2023-06-01 2023-09-01 浙江科技学院 Pest prediction system based on machine learning algorithm
CN116740645A (en) * 2023-07-03 2023-09-12 广东省农业科学院植物保护研究所 Fruit fly monitoring and comprehensive prevention and control method, system and storage medium based on Internet of things
CN116686814A (en) * 2023-07-27 2023-09-05 山西农业大学 A spraying control method, system and medium of a plant protection drone
CN117173400A (en) * 2023-11-03 2023-12-05 广东省农业科学院植物保护研究所 Low-carbon treatment scheme recommendation method and system for litchi insect pest
CN118266360A (en) * 2024-05-30 2024-07-02 安徽农业大学 Fruit tree pest control method and system based on bioinformatics

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
JOEL S BROWN等: "Game theory as a conceptual framework for managing insect pests", 《CURR OPIN INSECT SCI》, vol. 21, 18 May 2017 (2017-05-18), pages 26 - 31 *
管昕作: "《信息化教学推动职业教育现代化的探索研究》", 31 January 2021, 辽宁大学出版社, pages: 71 *
陈光畏: "基于AHP和熵权法对大田县一重山景观树种的综合评价", 《林业勘察设计》, no. 02, 15 June 2017 (2017-06-15), pages 76 - 79 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118537758A (en) * 2024-06-06 2024-08-23 广东省农业科学院植物保护研究所 Corn important pest hazard detection method and system based on unmanned aerial vehicle cruising

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