Termite monitoring and killing intelligent control system

Abstract

The invention discloses a termite monitoring and killing intelligent control system, which belongs to the technical field of termite monitoring management and comprises an information module, an inspection module, an abnormity checking module and a termite killing module. The information module is used for performing information management on each monitoring main body and establishing a main body monitoring model; the inspection module is used for performing termite inspection on each monitoring main body according to the main body monitoring model to obtain an inspection result of each monitoring main body; the exception checking module is used for analyzing the exception data and identifying a monitoring main body and an exception area corresponding to the exception data; setting a checking device, and configuring a corresponding checking scheme for the checking device; a checking device is arranged in the abnormal area through the inspection device, checking is carried out according to the checking scheme and the checking device, and a checking result is obtained; the ant killing module is used for carrying out ant killing processing according to each checking result and identifying each checking result; and when the check result is the termite detail data, setting a termite killing scheme according to the termite detail data, and killing termites according to the termite killing scheme.

Description

Technical Field

[0001] The invention belongs to the technical field of termite monitoring and management, and in particular is an intelligent control system for termite monitoring and killing. Background Art

[0002] Termites, as a widely distributed pest, pose a serious threat to water conservancy projects and landscaping. They cause structural damage, leakage and safety hazards by eating wood, soil and building foundations. However, many current water conservancy projects, landscaping projects, etc. have obvious deficiencies in termite monitoring. For example, in water conservancy projects, key facilities such as dams, reservoirs, and canals are key areas of termite damage. Since these facilities are usually located in remote areas, monitoring is difficult, and traditional manual monitoring methods have problems such as low efficiency and poor accuracy. As a result, termite monitoring is generally only performed on major water conservancy projects with serious termite hazards, so that many water conservancy projects cannot be effectively monitored. When termites are found, the best prevention and control stage has been missed, causing great damage to water conservancy projects; especially with the increase in labor costs, many water conservancy projects cannot be monitored for a long time; and the above phenomenon occurs in many scenarios; therefore, in order to solve the problem that many current water conservancy projects and other scenarios cannot be monitored and managed for termites, the present invention provides an intelligent control system for termite monitoring and killing. Summary of the invention

[0003] In order to solve the problems existing in the above-mentioned solutions, the present invention provides an intelligent control system for monitoring and killing termites.

[0004] The purpose of the present invention can be achieved through the following technical solutions:

[0005] An intelligent control system for monitoring and killing termites, comprising an information module, an inspection module, an abnormality verification module and a termite killing module;

[0006] The information module is used to manage information of each monitoring subject and establish a subject monitoring model, and the subject monitoring model is composed of subject models corresponding to each monitoring subject.

[0007] Furthermore, the method for establishing the subject monitoring model includes:

[0008] Acquire subject information of each monitoring subject, and establish a subject model according to the subject information;

[0009] Integrate the subject models according to the positions of the monitoring subjects to form a subject monitoring model;

[0010] Identify the information channels of each monitoring subject and connect to each information channel; collect the subject channel information of each information channel in real time, perform data preprocessing on the subject channel information of each monitoring subject, and update the information of each subject model in the subject monitoring model through the subject channel information.

[0011] Furthermore, the main body model is a three-dimensional model.

[0012] The inspection module is used to perform termite inspection on each of the monitoring subjects according to the subject monitoring model, and obtain the inspection result of each of the monitoring subjects, wherein the inspection result is normal inspection or abnormal inspection and abnormal data corresponding to the abnormal inspection;

[0013] When the inspection result is normal, no corresponding operation is performed;

[0014] When the inspection result is abnormal, the monitored subject is marked as an abnormal subject, and the abnormal data of the abnormal subject is sent to the abnormality checking module.

[0015] Furthermore, the method of performing termite inspection on each monitoring subject according to the subject monitoring model is as follows:

[0016] Identify each subject model in the subject monitoring model, perform real-time evaluation on each subject model, and obtain abnormal values ​​at each position in the subject model; set the inspection position of each monitoring subject according to the abnormal value;

[0017] Acquire monitoring information of each monitoring subject, and determine each inspection subject according to the monitoring information of each monitoring subject and the inspection location;

[0018] An inspection device is provided, and each inspection subject is inspected by the inspection device to obtain inspection data corresponding to each inspection subject, and the inspection data is analyzed to obtain inspection results of the inspection subject.

[0019] Furthermore, the method for real-time evaluation of each subject model includes:

[0020] Obtaining material analysis data of each of the monitored subjects; performing statistical analysis on the material analysis data to obtain the probability of termite problems occurring at each location of the monitored subject, and marking the probability as the initial value of the location;

[0021] Establishing a dynamic correction model, analyzing each subject model through the dynamic correction model, and obtaining the dynamic correction value corresponding to each position in real time;

[0022] According to the formula YC (x，y，z) =CZ (x，y，z) +DZ (x，y，z) Calculate the outlier value corresponding to each position;

[0023] Where: YC (x，y，z) is an outlier; (x, y, z) is the coordinate of the corresponding position; CZ (x，y，z) is the initial value of the position; DZ (x，y，z) Dynamic correction value.

[0024] Furthermore, when the abnormal value is greater than the threshold value X1, the inspection abnormality is evaluated, the corresponding position area is marked as an abnormal area, and abnormal data is generated according to the abnormal area.

[0025] Furthermore, the method of determining each inspection subject according to the monitoring information and inspection location of each monitoring subject includes:

[0026] An information judgment model is established, and the expression of the information judgment model is:

[0027]

[0028] Where: (q, p) is the input data, q is the monitoring information; p is the corresponding inspection location; meeting the analysis requirement means that the monitoring information meets the analysis requirements of the corresponding inspection location; the output data is the information judgment value XP (q, p), and the information judgment value is 1 or 0;

[0029] The monitoring information and inspection locations of each monitoring subject are analyzed through the information judgment model to obtain the information judgment value of each monitoring subject; and the inspection subject is determined according to the information judgment value.

[0030] The abnormality verification module is used to analyze the received abnormal data, identify the monitoring subject and abnormal area corresponding to the abnormal data; set up a verification device, and configure a corresponding verification scheme for the verification device;

[0031] The inspection device is used to set the verification device in the abnormal area, and the verification is performed according to the verification scheme and the verification device to obtain the verification result, which includes the absence of termites and termite detailed data; the verification result is sent to the termite killing module.

[0032] The ant extermination module is used to perform ant extermination according to each verification result and identify each verification result;

[0033] When the verification result shows that there are no termites, no termite extermination treatment will be carried out;

[0034] When the verification result is termite detail data, an ant extermination plan is set according to the termite detail data, and ant extermination is performed according to the ant extermination plan.

[0035] Further, the ant extermination plan is:

[0036] Identify the monitoring subjects that need to be exterminated of termites, make corresponding marks on the subject models of the monitoring subjects according to the termite detail data, and determine the termite activity areas according to the subject models;

[0037] Establish an ant extermination evaluation model; set the requirements for ant extermination effect and surrounding influence requirements, analyze the requirements for ant extermination effect, surrounding influence requirements and subject models through the ant extermination evaluation model, and obtain each alternative ant extermination plan and the corresponding ant extermination effect value and surrounding influence value of each alternative ant extermination plan;

[0038] Calculate the priority value of each alternative ant extermination plan according to the formula PKi = b1×MYi - b2×BYi;

[0039] In the formula: PKi is the priority value of the corresponding alternative ant extermination plan; i represents the corresponding alternative ant extermination plan, i = 1, 2,..., n, n is a positive integer; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; MYi is the ant extermination effect value of the corresponding alternative ant extermination plan; BYi is the surrounding influence value of the corresponding alternative ant extermination plan;

[0040] Select the alternative ant extermination plan with the highest priority value as the applied ant extermination plan.

[0041] Furthermore, the value ranges of both the ant extermination effect value and the surrounding influence value are [0, 100].

[0042] Compared with the prior art, the beneficial effects of the present invention are:

[0043] Through the mutual cooperation among the information module, the inspection module, the anomaly verification module and the ant extermination module, the problem that many current monitoring subjects do not carry out termite monitoring and management is solved, and intelligent termite monitoring and management of each monitoring subject is realized; targeted prevention and control work is carried out, avoiding unnecessary waste and repeated investment. At the same time, the intelligent monitoring technology can also improve the efficiency and quality of the prevention and control work, and further reduce the prevention and control cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0046] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] like Figure 1 As shown, a termite monitoring and killing intelligent control system includes an information module, an inspection module, an abnormality verification module and a termite killing module;

[0048] The information module is used to manage the information of water conservancy projects, garden projects and other entities that need to be monitored and killed for termites within the jurisdiction, and uniformly mark the corresponding entities as monitoring entities; obtain the subject information of each current monitoring entity, including structural information, location, material and other information related to the establishment of its model and termites, and establish a subject model based on the subject information. The subject model is a three-dimensional data model established based on modeling technology; integrate the subject models according to their corresponding positions to form a unified subject monitoring model, that is, the subject monitoring model is composed of various subject models; identify the subsequent information channels of each monitoring entity, such as for water conservancy projects, its information channel is the channel for subsequent regular and random detection of its structure, performance, etc., because even if it does not carry out termite monitoring, it will carry out corresponding construction and other detections after a period of time, and it is regarded as an information channel; connect with each information channel, and subsequently collect the subject channel information of each information channel in real time, perform data preprocessing such as multi-source data processing on each subject channel information, and update the information of the corresponding monitoring entity according to the preprocessed subject channel information; that is, update the information related to each structure in the monitoring entity in real time.

[0049] The inspection module is used to perform termite inspection on each monitoring subject based on the subject monitoring model to obtain the inspection results of each monitoring subject, the inspection results including normal inspection and abnormal inspection and abnormal data corresponding to the abnormal inspection;

[0050] When the inspection result is normal, no corresponding operation is performed;

[0051] When the inspection result is abnormal, the corresponding monitoring subject is marked as an abnormal subject, and the abnormal data corresponding to the abnormal subject is sent to the abnormal verification module.

[0052] In one embodiment, the method for performing termite inspection on each monitoring subject according to the subject monitoring model is as follows:

[0053] Identify each subject model in the subject monitoring model, evaluate each subject model in real time, and obtain the abnormal value of each position in the subject model; set the inspection position of each monitoring subject according to the abnormal value; and when the abnormal value is greater than the threshold value X1, directly evaluate the inspection abnormality, mark the corresponding position area as an abnormal area, and generate abnormal data according to the abnormal area. The abnormal data includes data indicating where to conduct subsequent verification, relevant termite information, etc.

[0054] Obtain monitoring information of each monitoring subject, that is, whether a video monitoring device is installed at the monitoring subject. If a video monitoring device is installed, collect relevant data such as its monitoring range to determine whether it is necessary to collect images through additional inspection equipment such as drones in the future. According to the monitoring information and inspection location of each monitoring subject, determine the monitoring subject that needs to be inspected by the inspection equipment and mark it as the inspection subject;

[0055] Set up inspection equipment, which is a device that can remotely control and monitor the inspection subject, usually a drone. Use the inspection equipment to inspect each inspection subject and obtain the inspection data corresponding to each inspection subject. The specific inspection process is determined according to the performance of the inspection equipment. The benchmark function is image acquisition, and further, the inspection subject can be tapped, recorded, excavated, etc.; analyze the inspection data to obtain the inspection results of the inspection subject; that is, use image recognition technology to analyze the monitoring image or other inspection features to determine whether it has termite characteristics. If it has termite characteristics, it is considered an inspection abnormality.

[0056] The abnormality verification module is used to analyze the received abnormal data, identify the monitoring subject and abnormal area corresponding to the abnormal data; set up a verification device, and configure a corresponding verification scheme for the verification device; the verification device can be a plastic bag filled with natural bait that termites like to eat, or it can be combined with a surveillance camera to form a verification device, and it can be specifically set according to actual conditions; and different verification devices have different corresponding verification methods. For example, for a plastic bag-type verification device, it is necessary to place the verification device in the abnormal area first, and then verify it through the inspection device after a period of time; for other multifunctional verification devices, after the inspection device places the verification device in the abnormal area, it is monitored by the verification device, and the verification device is subsequently retrieved, and the verification method is determined according to whether the verification device transmits monitoring data in real time, and some verification devices can also directly release ant killers according to the verification results; therefore, it is necessary to determine the verification scheme according to the verification device used;

[0057] The verification device is set in the abnormal area through the inspection device, and the verification is carried out according to the verification plan and the verification device to obtain the verification result; the verification result includes the absence of termites and detailed termite data, and the detailed termite data includes the verification phenomenon, termite type, density and other relevant data that can be obtained through the verification.

[0058] Send the verification result to the ant killing module.

[0059] In one embodiment, each subject model is evaluated in real time, that is, an abnormal analysis is performed in combination with various currently available data, including image data obtained from previous inspections. The specific method includes:

[0060] Collect material analysis data of the corresponding monitoring subject according to the location and type of the monitoring subject. The material analysis data is the historical termite detection data that serves as a reference for the monitoring subject. Perform statistical analysis on the material analysis data to obtain the probability of termite problems occurring at each location of the monitoring subject, which is marked as the initial value of the location.

[0061] A dynamic correction model is established. The dynamic correction model is used to analyze the information continuously updated by the main model. The corresponding position correction value is determined by comparing the actual situation data of the monitoring subject with the state corresponding to the initial position value. The dynamic correction model is established based on existing intelligent technology, such as based on neural networks such as CNN networks or DNN networks. The corresponding training set is established manually for training. The training set includes input data and output data. The input data is the initial position value and related information corresponding to the main model, and the output data is the dynamic correction value. The dynamic correction model after successful training is analyzed to obtain the dynamic correction value corresponding to each position in real time. In other embodiments, it can also be determined based on a matching comparison, such as comparing the current state data with the state data corresponding to the initial position value, and determining the dynamic correction value according to the actual difference.

[0062] According to the formula YC (x，y，z) =CZ (x，y，z) +DZ (x，y，z) Calculate the outlier value corresponding to each position;

[0063] Where: YC (x，y，z) is an outlier; (x, y, z) is the coordinate of the corresponding position; CZ (x，y，z) is the initial value of the position; DZ (x，y，z) Dynamic correction value.

[0064] In one embodiment, the method of determining the monitoring subject that needs to be inspected by the inspection equipment according to the monitoring information and inspection location of each monitoring subject is: direct comparison and judgment based on the existing technology.

[0065] In one embodiment, a method for determining a monitoring subject that needs to be inspected by an inspection device according to monitoring information and inspection locations of each monitoring subject includes:

[0066] Establish an information judgment model. The expression of the information judgment model is: Where: (q, p) is the input data, q is the monitoring information; p is the corresponding inspection location; satisfying the analysis requirements means that the monitoring information meets the analysis requirements of the corresponding inspection location; that is, it can be monitored and video monitored; the output data is the information judgment value XP (q, p), and the information judgment value is 1 or 0;

[0067] The monitoring information and inspection locations of each monitoring subject are analyzed through the information judgment model to obtain the information judgment value of each monitoring subject; the inspection subject is determined based on the obtained information judgment value.

[0068] The ant extermination module is used to perform ant extermination according to each verification result and identify each verification result;

[0069] When the verification result shows that there are no termites, no termite extermination treatment will be carried out;

[0070] When the verification result is termite detail data, an ant extermination plan is set up according to the termite detail data, generally by placing ant extermination drugs on the monitored subject through a patrol device; verification is performed at subsequent intervals to understand the ant extermination effect; and ant extermination is performed according to the ant extermination plan.

[0071] In one embodiment, the ant killing scheme is:

[0072] Identify the monitoring subject that needs to be exterminated, mark the subject model of the corresponding monitoring subject according to the detailed termite data, determine the area where termites appear, and mark it as the termite activity area;

[0073] An ant control evaluation model is established. The ant control evaluation model is used to simulate and evaluate the ant control effect based on the existing main model and the adverse effects of various ant control methods on the surrounding area, mainly referring to the impact of drugs on surrounding animals and plants. Since the drugs are somewhat toxic, it is not possible to place ant control drugs arbitrarily. Specifically, an ant control evaluation model can be established based on existing digital twin technology, artificial intelligence technology, etc. It can determine various candidate ant control plans according to the preset minimum requirements for ant control effect and surrounding impact effect, and conduct simulation evaluation in combination with existing ant control experience. Output the plans that meet the requirements for both ant control effect and surrounding impact effect, and mark them as candidate ant control plans. Exemplarily, an ant control evaluation model is established based on neural networks such as CNN network or DNN network, and corresponding training sets are established and trained manually. The training set includes input data and output data. The input data is the ant control effect requirements, surrounding impact requirements, and the main model. The output data is each candidate ant control plan that meets the requirements, as well as the corresponding ant control effect value and surrounding impact value. The value range of the ant control effect value is [0, 100], with no effect being 0 and the best overall killing effect being 100. Subsequently, the ant control effect value is set according to the difference in killing effect. The surrounding impact value is determined according to the degree of adverse impact on surrounding animals and plants. The value range of the surrounding impact value is also [0, 100], with no impact on the surrounding being 0 and the possible maximum impact being 100. Others are set according to the impact difference. To improve the accuracy, the platform can pre-set standards for multiple scores in advance, and then determine them in combination with the corresponding score standards, such as the impact standard corresponding to 50. Both can apply this method to improve the accuracy.

[0074] Set the ant control effect requirements and surrounding impact requirements, and analyze the ant control effect requirements, surrounding impact requirements, and the main model through the ant control evaluation model to obtain each candidate ant control plan.

[0075] Identify the ant control effect value and surrounding impact value corresponding to each candidate ant control plan. The value ranges of both the ant control effect value and the surrounding impact value are [0, 100].

[0076] Calculate the priority value of each candidate ant control plan according to the formula PKi = b1×MYi - b2×BYi.

[0077] In the formula: PKi is the priority value of the corresponding candidate ant control plan; i represents the corresponding candidate ant control plan, i = 1, 2,..., n, where n is a positive integer; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; MYi is the ant control effect value of the corresponding candidate ant control plan; BYi is the surrounding impact value of the corresponding candidate ant control plan.

[0078] Select the candidate ant control plan with the highest priority value as the applied ant control plan.

[0079] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0080] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent control system for monitoring and killing termites, characterized in that: It includes information module, inspection module, abnormality verification module and ant extermination module; The information module is used to manage information of each monitoring subject and establish a subject monitoring model, wherein the subject monitoring model is composed of subject models corresponding to each monitoring subject; The inspection module is used to perform termite inspection on each of the monitoring subjects according to the subject monitoring model, and obtain the inspection result of each of the monitoring subjects, wherein the inspection result is normal inspection or abnormal inspection and abnormal data corresponding to the abnormal inspection; When the inspection result is normal, no corresponding operation is performed; When the inspection result is abnormal, the monitoring subject is marked as an abnormal subject, and the abnormal data of the abnormal subject is sent to the abnormality checking module; The abnormality checking module is used to analyze the received abnormal data and identify the monitoring subject and abnormal area corresponding to the abnormal data; Setting up a calibration device and configuring a corresponding calibration scheme for the calibration device; The verification device is set in the abnormal area by a preset inspection device, and the verification is performed according to the verification scheme and the verification device to obtain the verification result, which includes the absence of termites and detailed termite data; Sending the verification result to the ant killing module; The ant extermination module is used to perform ant extermination according to each verification result and identify each verification result; When the verification result shows that there are no termites, no termite extermination treatment will be carried out; When the verification result is termite detail data, an ant extermination plan is set according to the termite detail data, and ant extermination is performed according to the ant extermination plan.

2. The intelligent control system for monitoring and killing termites according to claim 1 is characterized in that: The method for establishing the subject monitoring model includes: Acquire subject information of each monitoring subject, and establish a subject model according to the subject information; Integrate the subject models according to the positions of the monitoring subjects to form a subject monitoring model; Identify the information channels of each monitoring subject and connect to each information channel; collect the subject channel information of each information channel in real time, perform data preprocessing on the subject channel information of each monitoring subject, and update the information of each subject model in the subject monitoring model through the subject channel information.

3. The intelligent control system for monitoring and killing termites according to claim 1 is characterized in that: The main body model is a three-dimensional model.

4. The intelligent control system for monitoring and killing termites according to claim 1, characterized in that: The method of conducting termite inspection on each monitoring subject according to the subject monitoring model is as follows: Identify each subject model in the subject monitoring model, perform real-time evaluation on each subject model, and obtain abnormal values ​​at each position in the subject model; set the inspection position of each monitoring subject according to the abnormal value; Acquire monitoring information of each monitoring subject, and determine each inspection subject according to the monitoring information of each monitoring subject and the inspection location; The inspection subjects are inspected by using preset inspection equipment to obtain inspection data corresponding to each inspection subject, and the inspection data are analyzed to obtain inspection results of the inspection subjects.

5. The intelligent control system for monitoring and killing termites according to claim 4 is characterized in that: Methods for real-time evaluation of each subject model include: Obtaining material analysis data of each of the monitored subjects; performing statistical analysis on the material analysis data to obtain the probability of termite problems occurring at each location of the monitored subject, and marking the probability as the initial value of the location; Establishing a dynamic correction model, analyzing each subject model through the dynamic correction model, and obtaining the dynamic correction value corresponding to each position in real time; According to the formula YC (x，y，z) =CZ (x，y，z) +DZ (x，y，z) Calculate the outlier value corresponding to each position; Where: YC (x，y，z) is an outlier; (x, y, z) is the coordinate of the corresponding position; CZ (x，y，z) is the initial value of the position; DZ (x，y，z) Dynamic correction value.

6. The intelligent control system for monitoring and killing termites according to claim 5, characterized in that: When the outlier is greater than the threshold X1, the inspection anomaly is evaluated, the corresponding position area is marked as an abnormal area, and abnormal data is formed based on the abnormal area.

7. The intelligent control system for monitoring and killing termites according to claim 4 is characterized in that: The method for determining each inspection subject according to the monitoring information of each monitoring subject and the inspection parts includes: Establish an information judgment model, and the expression of the information judgment model is: In the formula: (q, p) is the input data, q is the monitoring information; p is the corresponding inspection part; meeting the analysis requirements means that the monitoring information meets the analysis requirements of the corresponding inspection part; the output data is the information judgment value XP(q, p), and the information judgment value is 1 or 0. Analyze the monitoring information and inspection parts of each monitoring subject through the information judgment model to obtain the information judgment values of each monitoring subject; determine the inspection subject according to the information judgment values.

8. The intelligent control system for monitoring and killing termites according to claim 1, characterized in that: The setting method of the termite control plan is: Identify the monitoring subjects that need termite control, make corresponding marks on the subject models of the monitoring subjects according to the termite details data, and determine the termite activity areas according to the subject models. Establish a termite control evaluation model; set the requirements for termite control effect and surrounding impact requirements, and analyze the termite control effect requirements, surrounding impact requirements and subject models through the termite control evaluation model to obtain each candidate termite control plan and the corresponding termite control effect value and surrounding impact value of each candidate termite control plan. Calculate the priority value of each candidate termite control plan according to the formula PKi = b1×MYi - b2×BYi. In the formula: PKi is the priority value of the corresponding candidate termite control plan; i represents the corresponding candidate termite control plan, i = 1, 2,..., n, n is a positive integer; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; MYi is the termite control effect value of the corresponding candidate termite control plan; BYi is the surrounding impact value of the corresponding candidate termite control plan. Select the candidate termite control plan with the highest priority value as the applied termite control plan.

9. The intelligent control system for monitoring and killing termites according to claim 8, characterized in that: The value ranges of the termite control effect value and the surrounding impact value are both [0, 100].

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