CN111242796B - Method for monitoring insecticidal effect in closed environment in real time and predicting insecticidal time - Google Patents
Method for monitoring insecticidal effect in closed environment in real time and predicting insecticidal time Download PDFInfo
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Abstract
The invention discloses a method for monitoring insecticidal effect in a closed environment in real time and predicting insecticidal time, and belongs to the technical field of closed insecticidal of stored materials. The invention remotely monitors the insecticidal effect in the airtight environment controlled atmosphere insecticidal process by modern video monitoring, image information communication and condition control on the basis of mastering the complete lethal time of the adult pests and the invisible eggs, the larvae and the pupae of the invisible pests which are hidden in the grain particles, and predicts the time of the complete insecticidal effect by the behavior reaction degree of the adult pests which is easy to observe. The invention can monitor the pest behavior reaction degree in real time in a remote way on the premise of not opening the sealed environment, and intelligently predict the residual pest killing time through the abnormal behavior and the knockdown ratio of adults, and has the advantages of simple operation, convenient use, dynamic and visual performance, and real time.
Description
Technical Field
The invention belongs to the technical field of storage object closed disinsection, and particularly relates to a method for monitoring disinsection effect in a closed environment in real time and predicting disinsection time.
Background
The air-conditioning technology adopted in the existing grain storage and insect killing is considered to be a pollution-free green ecological grain storage technology. When the controlled atmosphere disinsection is adopted, the method needs to be carried out in a closed environment. The evaluation of the controlled atmosphere insecticidal effect usually needs to be carried out by sampling until the closed environment is opened to diffuse the air until the oxygen concentration is safe, namely, a post-sampling detection method is adopted, and only the final survival condition or insecticidal effect of pests can be checked. The method is characterized in that insect samples are arranged on grain surfaces before sealing, and the sealed environment is opened at certain intervals in the process to take out the insect samples for inspection.
Disclosure of Invention
The invention aims to provide a method for monitoring the insecticidal effect in the closed environment and predicting the insecticidal time in real time aiming at the defects of the prior art. The invention can monitor the pest behavior reaction degree in real time in a remote way on the premise of not opening the sealed environment, and intelligently predict the residual pest killing time through the abnormal behavior and the knockdown ratio of adults, and has the advantages of simple operation, convenient use, dynamic and visual performance, and real time.
The object of the invention can be achieved by the following technical measures:
the invention discloses a method for monitoring insecticidal effect in a closed environment and predicting insecticidal time in real time, which is characterized by comprising the following steps of: the method comprises the following steps:
A. on the basis of obtaining the adult of the test insect and the invisible egg, larva and pupa with invisibility in the grain granules and the complete killing time of the strongest insect state by pre-determination, the complete killing time T of the test insect is obtained, and the relationship between the complete killing time T of the test insect and the reaction degree of behavior occurrence of the adult state which is easy to observe is obtained;
B. before the controlled atmosphere insect killing operation is closed, placing an anti-escape utensil with an opening at the upper end into the same controlled atmosphere closed environment, and placing a proper amount of test insect adults at the bottom of an inner cavity of the anti-escape utensil;
C. shooting moving images of the adults in real time by using a video camera arranged above an anti-escape vessel, sending the moving images to a mobile phone APP through a wireless network WIFI, and monitoring the number of abnormal behavior individuals and the number of knocked down individuals of the adults in the closed environment in real time;
D. monitoring the insect killing effect according to the monitored adult insect image in the step C, and obtaining the behavior abnormal ratio of the adult insect and the time t for reaching the abnormal ratio1Model of change between, ratio knocked down, and ratio knocked down up to time t2A variation model corresponding to each other;
E. the time T of the test insects being completely killed and the time T of the abnormal ratio reaching1Time difference T-T between1The test insect is completely killed for a time T, and the ratio of the test insect to the knockdown reaches the time T2Time difference T-T between2To predict the remaining time of completely lethal pest at a certain ratio to be queried.
The working principle of the invention is as follows:
the invention remotely monitors the insecticidal effect in the airtight environment controlled atmosphere insecticidal process by modern video monitoring, image information communication and condition control on the basis of mastering the complete lethal time of the adult pests and the invisible eggs, the larvae and the pupae of the invisible pests which are hidden in the grain particles, and predicts the time of the complete insecticidal effect by the behavior reaction degree of the adult pests which is easy to observe. The invention can monitor the pest behavior reaction degree in real time in a remote way on the premise of not opening the sealed environment, and intelligently predict the residual pest killing time through the abnormal behavior and the knockdown ratio of adults, and has the advantages of simple operation, convenient use, dynamic and visual performance, and real time.
More specifically, the method firstly needs to obtain the complete killing time T of the test insect on the basis of determining the insect states of the test insect, such as the adult, the egg, the pupa and the larva and the complete killing time of the insect state with the strongest endurance capacity in the test insect states in advance; then utilize the monitoring device that video camera, wireless network WIFI and cell-phone APP constitute, show in real time and place on airtight environmentThe moving image of the adult test insects at the bottom of the inner cavity of the escape-proof vessel with the end open is that the adult test insects are selected for monitoring because the state of the adult test insects is easy to observe; respectively obtaining the abnormal behavior individual number and the knocked down individual number of the imagoes according to the moving images of the imagoes; then obtaining the behavior abnormal ratio of the imagoes and the time t for reaching the abnormal ratio1Model of change between, ratio knocked down, and ratio knocked down up to time t2A variation model corresponding to each other; finally, the test insect is completely killed, the time T is compared with the abnormal ratio, and the time T is reached1Time difference between the test insects, time T for the test insects to be completely killed and time T for the test insects to be knocked down2The time difference between the two pests is used for predicting the residual time of the completely lethal pests under a certain ratio to be inquired, namely the residual time of killing all the test pests in the whole sealed granary. This is because all the individuals in the other insect states died before the strongest insect state was completely killed, so all the populations of this insect species had been killed within the sealed barn for the predicted remaining time.
The invention has the following beneficial effects:
the invention can monitor the pest behavior reaction degree in real time in a remote way on the premise of not opening the sealed environment, and intelligently predict the residual pest killing time through the abnormal behavior and the knockdown ratio of adults, and has the advantages of simple operation, convenient use, dynamic and visual performance, and real time.
Drawings
FIG. 1 is a graph of the complete death time (unit: d) of different insect states of rice weevils under the conditions of 98% nitrogen gas atmosphere and 18 ℃.
FIG. 2 is a graph showing the abnormal behavior ratio of rice weevils at a temperature of 18 ℃ and the time t for the abnormal ratio to reach1Model diagram of the variation between.
FIG. 3 is the ratio of knockdown to time t of adult rice weevils at a temperature of 18 deg.C2Model diagram of the variation between.
FIG. 4 is a graph showing the difference T-T between the abnormal behavior ratio and the abnormal ratio arrival time of an adult rice weevil at a temperature of 18 deg.C1Model diagram of the variation between.
FIG. 5 is a graph showing the time difference T-T between the knockdown ratio and the knockdown ratio of the imago of the rice weevil at a temperature of 18 deg.C2Model diagram of the variation between.
FIG. 6 is a graph of the complete death time (unit: d) of rice weevils in different insect states under the conditions of 98% nitrogen atmosphere and 23 ℃.
FIG. 7 is a graph showing the behavior abnormality ratio of the rice weevil adults at 23 ℃ and the time t for the abnormality ratio to reach1Model diagram of the variation between.
FIG. 8 is the ratio of knockdown of the rice weevil adults at a temperature of 23 ℃ to the time t2Model diagram of the variation between.
FIG. 9 is a graph showing the difference T-T between the abnormal behavior ratio and the abnormal ratio arrival time of an adult rice weevil at a temperature of 23 deg.C1Model diagram of the variation between.
FIG. 10 is a graph showing the time difference T-T between the knockdown ratio and the knockdown ratio of the imago of the rice weevil at a temperature of 23 deg.C2Model diagram of the variation between.
FIG. 11 is a graph of the complete death time (unit: d) of rice weevils in different insect states at 98% nitrogen atmosphere and 28 ℃.
FIG. 12 is a graph showing the abnormal behavior ratio of rice weevils at 28 ℃ and the time t for the abnormal ratio to reach1Model diagram of the variation between.
FIG. 13 is a graph showing the knockdown ratio of the rice weevils at a temperature of 28 ℃ and the knockdown ratio reaching a time t2Model diagram of the variation between.
FIG. 14 is a graph showing the difference T-T between the abnormal behavior ratio and the abnormal ratio arrival time of an adult rice weevil at a temperature of 28 deg.C1Model diagram of the variation between.
FIG. 15 shows the knockdown ratio of the rice weevil adults at 28 ℃ and the time difference T-T between the knockdown ratio and the knockdown ratio2Model diagram of the variation between.
Detailed Description
The invention will be further described with reference to the following examples:
example one
The method for monitoring the insecticidal effect in the closed environment and predicting the insecticidal time in real time comprises the following steps:
A. placing the test rice weevil in 98% nitrogen gas-modified condition capable of completely killing pests, and measuring the complete death time of the four insect states of imago, egg, larva and pupa corresponding to the rice weevil at the temperature of 18 ℃ (see figure 1 for details, the complete death time of the egg, larva and pupa is obtained by comparison of a control test); by comparing the time parameters in fig. 1, it can be known that: the pupa state endurance of the rice weevil is strongest, so that other eggs, larvae and imago states with smaller endurance can be completely killed as long as the pupa can be completely killed; under the condition of 98 percent nitrogen gas adjustment and the temperature of 18/° C, the full death time of the insect with the strongest endurance, namely the full killing time T of the test insect is 25 days;
B. before the air-conditioned insecticidal operation is closed, placing an anti-escape container with an opening at the upper end into the same air-conditioned closed environment, and placing a proper amount of rice weevil adults at the bottom of an inner cavity of the anti-escape container;
C. shooting moving images of the adults in real time by using a video camera arranged above an anti-escape vessel, sending the moving images to a mobile phone APP through a wireless network WIFI, and monitoring the number of abnormal behavior individuals and the number of knocked down individuals of the adults in the closed environment in real time;
D. monitoring the insect killing effect according to the monitored adult insect image in the step C, and obtaining the behavior abnormal ratio of the adult insect and the time t for reaching the abnormal ratio1The model of the change between (see fig. 2), the ratio of being knocked down and the ratio of being knocked down for a time t2A variation model corresponding thereto (see fig. 3);
E. the time T of the test insects being completely killed and the time T of the abnormal ratio reaching1Time difference T-T between1Obtaining the difference T-T between the abnormal behavior ratio and the time for reaching the abnormal ratio1A variation model corresponding thereto (see fig. 4); the test insect is completely killed, the ratio of the time T to the knockdown reaches the time T2Time difference T-T between2Obtaining the knockdown ratio and the time difference T-T of the knockdown ratio2The variation model corresponding to each other (see fig. 5), according to fig. 4 and 5, a query can be made on a certain pairThe remaining time of the pest killing distance from the complete lethal pest in the ratio is used for intelligently predicting the remaining time of killing all the test pests in the whole sealed granary.
Example two
The second embodiment of the method for monitoring the insecticidal effect in the closed environment in real time and predicting the insecticidal time comprises the following steps:
A. placing the test rice weevil in 98% nitrogen gas-modified condition capable of completely killing pests, and measuring the complete death time of the four insect states of imago, egg, larva and pupa corresponding to the rice weevil at the temperature of 23 ℃ (see figure 6 for details, the complete death time of the egg, larva and pupa is obtained by comparison of a control test); by comparing the time parameters in fig. 6, it can be known that: the pupa state endurance of the rice weevil is strongest, so that other eggs, larvae and imago states with smaller endurance can be completely killed as long as the pupa can be completely killed; under the condition of 98 percent nitrogen gas adjustment and the temperature of 23/° C, the full death time of the insect with the strongest endurance, namely the full killing time T of the test insect is 19 days;
B. before the air-conditioned insecticidal operation is closed, placing an anti-escape container with an opening at the upper end into the same air-conditioned closed environment, and placing a proper amount of rice weevil adults at the bottom of an inner cavity of the anti-escape container;
C. shooting moving images of the adults in real time by using a video camera arranged above an anti-escape vessel, sending the moving images to a mobile phone APP through a wireless network WIFI, and monitoring the number of abnormal behavior individuals and the number of knocked down individuals of the adults in the closed environment in real time;
D. monitoring the insect killing effect according to the monitored adult insect image in the step C, and obtaining the behavior abnormal ratio of the adult insect and the time t for reaching the abnormal ratio1The change model therebetween (see fig. 7), the ratio to be knocked down, and the time t to be knocked down2A variation model corresponding thereto (see fig. 8);
E. the time T of the test insects being completely killed and the time T of the abnormal ratio reaching1Time difference T-T between1Obtaining the difference T-T between the abnormal behavior ratio and the time for reaching the abnormal ratio1Change of correspondence betweenModeling (see fig. 9); the test insect is completely killed, the ratio of the time T to the knockdown reaches the time T2Time difference T-T between2Obtaining the knockdown ratio and the time difference T-T of the knockdown ratio2According to the variation model (see fig. 10), the remaining time from the completely lethal pest at a certain corresponding ratio can be inquired according to fig. 9 and fig. 10, namely, the remaining time of killing all the test pests in the whole sealed granary by all individuals is intelligently predicted.
EXAMPLE III
The third embodiment of the method for monitoring the insecticidal effect in the closed environment in real time and predicting the insecticidal time comprises the following steps:
A. placing the test rice weevil in 98% nitrogen gas-modified condition capable of completely killing pests, and measuring the complete death time of the four insect states of imago, egg, larva and pupa corresponding to the rice weevil at the temperature of 28 ℃ (see figure 11 for details, the complete death time of the egg, larva and pupa is obtained by comparison of a control test); by comparing the time parameters in fig. 11, it can be known that: the pupa state endurance of the rice weevil is strongest, so that other eggs, larvae and imago states with smaller endurance can be completely killed as long as the pupa can be completely killed; under the condition of 98% nitrogen gas conditioning and 28/° C temperature, the full death time of the insect with the strongest endurance, namely the full killing time T of the test insect is 13 days;
B. before the air-conditioned insecticidal operation is closed, placing an anti-escape container with an opening at the upper end into the same air-conditioned closed environment, and placing a proper amount of rice weevil adults at the bottom of an inner cavity of the anti-escape container;
C. shooting moving images of the adults in real time by using a video camera arranged above an anti-escape vessel, sending the moving images to a mobile phone APP through a wireless network WIFI, and monitoring the number of abnormal behavior individuals and the number of knocked down individuals of the adults in the closed environment in real time;
D. monitoring the insect killing effect according to the monitored adult insect image in the step C, and obtaining the behavior abnormal ratio of the adult insect and the time t for reaching the abnormal ratio1The model of the change (see fig. 12), the ratio of being knocked down and the ratio of being knocked down reachTime t2A variation model corresponding thereto (see fig. 13);
E. the time T of the test insects being completely killed and the time T of the abnormal ratio reaching1Time difference T-T between1Obtaining the difference T-T between the abnormal behavior ratio and the time for reaching the abnormal ratio1A variation model corresponding thereto (see fig. 14); the test insect is completely killed, the ratio of the time T to the knockdown reaches the time T2Time difference T-T between2Obtaining the knockdown ratio and the time difference T-T of the knockdown ratio2According to the variation model (see fig. 15), the remaining time from the completely lethal pest at a certain corresponding ratio can be inquired according to fig. 14 and fig. 15, namely, the remaining time of killing all the test pests in the whole sealed granary by all individuals is intelligently predicted.
Claims (1)
1. A method for monitoring the insecticidal effect in a closed environment and predicting the insecticidal time in real time is characterized in that: the method comprises the following steps:
A. on the basis of obtaining the adult of the test insect and the invisible egg, larva and pupa with invisibility in the grain granules and the complete killing time of the strongest insect state by pre-determination, the complete killing time T of the test insect is obtained, and the relationship between the complete killing time T of the test insect and the reaction degree of behavior occurrence of the adult state which is easy to observe is obtained;
B. before the controlled atmosphere insect killing operation is closed, placing an anti-escape utensil with an opening at the upper end into the same controlled atmosphere closed environment, and placing a proper amount of test insect adults at the bottom of an inner cavity of the anti-escape utensil;
C. shooting moving images of the adults in real time by using a video camera arranged above an anti-escape vessel, sending the moving images to a mobile phone APP through a wireless network WIFI, and monitoring the number of abnormal behavior individuals and the number of knocked down individuals of the adults in the closed environment in real time;
D. monitoring the insect killing effect according to the monitored adult insect image in the step C, and obtaining the behavior abnormal ratio of the adult insect and the time t for reaching the abnormal ratio1Model of change between, ratio knocked down, and ratio knocked down up to time t2A variation model corresponding to each other;
E. the time T of the test insects being completely killed and the time T of the abnormal ratio reaching1Time difference T-T between1The test insect is completely killed for a time T, and the ratio of the test insect to the knockdown reaches the time T2Time difference T-T between2To predict the remaining time of completely lethal pest at a certain ratio to be queried.
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| CN110250123A (en) * | 2019-06-26 | 2019-09-20 | 江苏大学 | Low-density grain storage pest real-time monitoring system based on image recognition |
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