CN117634752B - Forestry pest quarantine information management system - Google Patents

Forestry pest quarantine information management system Download PDF

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CN117634752B
CN117634752B CN202410110439.3A CN202410110439A CN117634752B CN 117634752 B CN117634752 B CN 117634752B CN 202410110439 A CN202410110439 A CN 202410110439A CN 117634752 B CN117634752 B CN 117634752B
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穆江飞
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Yangling Vocational and Technical College
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Yangling Vocational and Technical College
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Abstract

The invention discloses a forest pest quarantine information management system, which relates to the technical field of forest pest management.

Description

Forestry pest quarantine information management system
Technical Field
The invention relates to the technical field of forestry pest management, in particular to a forestry pest quarantine information management system.
Background
Forest pest quarantine refers to the monitoring and control of plants, animals, microorganisms, etc. entering and exiting the forest ecosystem to prevent, identify, manage, and control the activity of pests that may be harmful to the forest industry, ecological balance, and ecosystem. The forest is an important component of forestry, so that the harmful organisms in the forest are monitored and managed, the health of plants and animals can be ensured, ecological balance is maintained, and forest resources are protected.
The traditional technology monitors harmful organisms in a forest through monitoring equipment, when harmful organisms are monitored, prompt signals are sent to forest management staff, then the forest management staff controls, but when the forest management staff controls the harmful organisms in the forest, the monitored harmful organisms are required to be processed and analyzed, and then a scheme is formulated according to analysis results, so that the labor cost and the personnel workload of forest management are greatly increased, meanwhile, the harmful organisms are manually processed, the efficiency of data processing cannot be improved, the errors of manual data processing cannot be eliminated, so that accurate data cannot be provided for subsequent scheme formulation, on the other hand, different biological types in the forest are different, meanwhile, the harmful organisms are not analyzed according to the harm degree of the harmful organisms in different heights in the forest, and the overall influence condition of the harmful organisms in the forest cannot be known, so that the accuracy of subsequent scheme selection of the harmful organisms cannot be improved, the effect of forest management cannot be improved, meanwhile, the plant management of the forest cannot be guaranteed, the harmful organisms in the forest cannot be well controlled according to the conventional scheme, the environmental protection time is not required to be increased, the environmental protection layer of the forest cannot be well-balanced, the forest management of the forest cannot be well-established according to the conventional scheme, the environmental protection requirements of the forest management requirements are greatly, the environmental protection requirements of the forest management layer cannot be increased, and the forest management requirements are greatly are not met, the environmental protection time is not being increased, and the environmental protection requirements of the forest management layer is not is greatly improved, and the environmental protection time is required to be greatly by the forest protection by the forest management scheme is not required to be well-improved, resulting in efficiency of forest pest management.
Disclosure of Invention
Aiming at the technical defects, the invention aims to provide a forestry pest quarantine information management system.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a forestry pest quarantine information management system, which comprises the following modules: the data monitoring module is used for dividing the forest into all the height layers according to the height, further regularly monitoring the pest information of all the height layers, and obtaining the pest information and the biological information corresponding to all the height layers during each monitoring.
The hazard analysis module is used for extracting the activity range area and the number of various harmful organisms from the pest information corresponding to each height layer during each monitoring, acquiring the activity range area and the number of various organisms from the pest information corresponding to each height layer during each monitoring, further calculating the hazard value corresponding to each harmful organism in each height layer in the forest, judging the hazard state of various harmful organisms in each height layer, and recording various harmful organisms with hazard states in each height layer in a state to be treated as various target harmful organisms.
The scheme analysis module is used for extracting the hazard values corresponding to various target pests in each height layer, extracting the treatment schemes and the treatment information corresponding to each historical treatment in the database, further acquiring the hazard values, the biological information, the treatment effect symbol values and the treatment cost of various target pests from the treatment information corresponding to each historical treatment, and further screening out the reference treatment scheme set of each height layer.
And the treatment monitoring module is used for acquiring pest information corresponding to each height layer after the treatment duration is preset when the height layers are treated, further calculating treatment effect symbol values corresponding to the height layers, and judging whether the treatment effect corresponding to the height layers is qualified or not.
And the execution terminal is used for executing corresponding operations according to the reference treatment scheme set of each height layer and whether the treatment effect corresponding to each height layer is qualified.
Preferably, the calculating the hazard value corresponding to each pest in each height layer in the forest specifically includes the following steps: comparing the activity range of each kind of harmful organism in each height layer with the activity range of each kind of organism in each time of monitoring to obtain the activity superposition area of each kind of harmful organism in each height layer and each kind of organism in each time of monitoring, and further dividing the activity range area of each kind of organism in each height layer in each time of monitoring to obtain the activity area occupation ratio of each kind of harmful organism in each height layer to each kind of organism in each time of monitoring.
According to the heights of the monitoring timeCalculating the area change rate and the number change rate of the movable range of each kind of harmful organism in each height layer during each monitoring, further analyzing the development value of each kind of harmful organism in each height layer, and recording as j represents the number corresponding to each height layer, j=1, 2.
The area and the quantity of the movable range of each organism in each height layer during each monitoring are calculated by the change rate, the change rate of the area and the change rate of the quantity of each organism in each height layer during each monitoring are obtained, and the obstruction value of each organism in each height layer is analyzed according to the ratio of the movable area of each organism to each organism in each height layer during each monitoring and recorded as
According to the calculation formulaObtaining a hazard value corresponding to the g-th harmful organism in the j-th high layer in the forest +.>Wherein ε is 1 、ε 2 The weight factors are the weight factors of the set development value and the weight factors of the inhibition value.
Preferably, the development values of various harmful organisms in each height layer are analyzed, and the specific analysis process is as follows: the area change rate and the quantity change rate of the movable range of various harmful organisms in each height layer during each monitoring are respectively recorded asi represents the number corresponding to each monitoring, i=1, 2.
According to the calculation formulaObtaining the development value of the g-class pest in the j-th height layer +.>Wherein Sv and Nv are respectively the set area change rate of the movable range of the permitted pests and the set number change rate of the permitted pests, gamma 1 、γ 2 The weight factors of the area change rate and the weight factors of the pest number change rate of the set pest activity range are respectively.
Preferably, the analysis of the blocking value of each type of pest in each height layer is performed as follows: comparing various harmful organisms in each high-level layer with various harmful organism corresponding harmful organism type sets stored in a database during each monitoring to obtain various harmful organism type sets corresponding to various harmful organisms in each high-level layer during each monitoring, and further comparing various harmful organisms in each high-level layer during each monitoring, thereby taking various organisms in the various harmful organism corresponding to the harmful organism type sets as various harmful organisms of various harmful organisms, and further obtaining various harmful organisms corresponding to various harmful organisms in each high-level layer during each monitoring.
According to the active area ratio of various harmful organisms to various organisms in each height layer during each monitoring, the active area ratio of various harmful organisms to various endangered organisms in each height layer during each monitoring is obtained and recorded asr represents the numbers corresponding to various kinds of endangered organisms, r=1, 2. The number q is a number, q is an integer greater than 2;
According to the area change rate and the quantity change rate of the movable range of each organism in each height layer during each monitoring, the area change rate and the quantity change rate of the movable range of each harmful organism corresponding to each endangered organism in each height layer during each monitoring are respectively recorded as
According to the calculation formulaObtaining a barrier value for the g-th pest in the j-th height layer +.>Wherein e represents a natural constant, and Qv and Mv are the set change rate of the area of the movable range of the permitted living organism and the set change rate of the number of the permitted living organism, η 1 、η 2 The weight factors of the area change rate and the number change rate of the endangered living beings are respectively set.
Preferably, the judging the hazard state of various harmful organisms in each height layer comprises the following specific judging process: comparing the hazard value of each type of pest in each height layer with the hazard value threshold stored in the database, if the hazard value of each type of pest in a certain height layer is larger than the hazard value threshold, indicating that the hazard state of the type of pest in the height layer is in a state to be treated, otherwise, indicating that the hazard state of the type of pest in the height layer is in a state to be treated, and judging the hazard state of each type of pest in each height layer.
Preferably, the screening out the reference treatment scheme set of each height layer includes the following specific screening process: analyzing biological matching values corresponding to each height layer and each history treatment according to biological information corresponding to each height layer and biological information corresponding to each history treatment during each monitoring, and marking as delta jx Wherein j represents the number corresponding to each height layer, j=1, 2. Once again, m is chosen, x represents the number corresponding to each history management, x=1, 2.
Comparing various target pests corresponding to each height layer with various pests corresponding to each historical treatment, counting to obtain the same target pest type number corresponding to each height layer and each historical treatment, and recording as XT jx
In each height layerThe hazard values corresponding to various target pests and the hazard values corresponding to various target pests in each history treatment are respectively recorded asw represents the numbers corresponding to the various target pests, w=1, 2. The term p is used herein, p is any integer greater than 2.
Calculating to obtain the matching value corresponding to each height layer and each history treatment according to the biological matching value corresponding to each height layer and each history treatment, the same target pest type number corresponding to each height layer and each history treatment, the hazard value corresponding to each target pest in each height layer, the hazard value corresponding to each target pest in each history treatment, the treatment efficiency value corresponding to each history treatment and the treatment cost corresponding to each history treatment.
Comparing the matching value corresponding to each height layer and each time of history treatment with the matching value threshold stored in the database, taking each time of history treatment larger than the matching value threshold in each height layer as each time of reference history treatment of each height layer, extracting the treatment scheme corresponding to each time of reference history treatment of each height layer as each treatment scheme of each height layer, and integrating to obtain the reference treatment scheme set of each height layer.
Preferably, the calculating obtains the matching value corresponding to each height layer and each history management, and the specific process is as follows: the treatment effect symbol value and the treatment cost corresponding to each time of history treatment are respectively recorded asR x And then substitutes into the calculation formulaObtaining a matching value phi corresponding to the jth height layer and the xth historical treatment jx Wherein delta, XT, delta alpha, ->R is respectively set standard biological matching value and standard same purposeMarking the number of pest types, the allowable hazard difference, the standard treatment efficiency value, the reference treatment cost, lambda 1 、λ 2 、λ 3 、λ 4 、λ 5 The weight factors of the set biological matching value, the weight factors of the same target pest type number, the weight factors of the allowable hazard difference value, the weight factors of the treatment efficiency symbol value and the weight factors of the reference treatment cost are respectively set.
Preferably, the calculating the treatment effectiveness symbol value corresponding to each height layer comprises the following specific calculating process: acquiring the activity range area and the number of various target pests from the pest information corresponding to each height layer, and respectively recording asj represents the number corresponding to each height layer, j=1, 2..m, w represents the number corresponding to each target pest, w=1, 2..p, m, p are all arbitrary integers greater than 2, and simultaneously, based on the area and the number of the permitted movable ranges corresponding to each pest stored in the database, the area and the number of the permitted movable ranges of each target pest in each height layer are obtained and respectively recorded as +>
According to the calculation formulaObtaining the treatment effect symbol value corresponding to the j-th height layer>Wherein τ 1 、τ 2 The weight factors of the set target pest activity range area and the target pest number are respectively set.
Preferably, the step of judging whether the treatment effect corresponding to each height layer is qualified or not includes the following specific judging process: comparing the treatment effect symbol value corresponding to each height layer with the set standard treatment effect symbol value, if the treatment effect symbol value corresponding to a certain height layer is smaller than the set standard treatment effect symbol value, judging that the treatment effect corresponding to the height layer is not qualified, otherwise, judging that the treatment effect corresponding to the height layer is qualified, and judging whether the treatment effect corresponding to each height layer is qualified in this way.
The invention has the beneficial effects that: the invention provides a forest pest quarantine information management system, which monitors and analyzes pests and organisms in each height layer in a forest, screens various harmful substances to be treated in each height layer, screens out a reference treatment scheme of each height layer from each history treatment scheme, monitors the treatment effect of each height layer when each height layer of the forest is treated, solves the defects of manual data analysis in the prior art, realizes the intelligent and automatic analysis of pest data, reduces the manual cost of forest management, improves the efficiency of data processing, also eliminates the error of manual data processing, thereby providing accurate data for the subsequent scheme formulation, greatly reducing the time and cost of scheme formulation, reducing the period of forest pest treatment, improving the efficiency and effect of forest pest treatment, ensuring the health of animals and plants in the forest, maintaining the ecological balance of the forest, and helping to protect forest resources.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a forestry pest quarantine information management system, which comprises the following modules: the system comprises a data monitoring module, a hazard analysis module, a scheme analysis module, a treatment monitoring module, an execution terminal and a database.
The data monitoring module is used for dividing the forest into all the height layers according to the height, further regularly monitoring the pest information of all the height layers, and obtaining the pest information and the biological information corresponding to all the height layers during each monitoring.
In the above description, the pest information includes the area and the number of the activity range of each type of pest; the biological information comprises the area and the quantity of the movable range corresponding to various organisms.
It should be noted that the organisms in the forest are organisms which are harmless to the forest, including but not limited to maple trees and bees, and the harmful organisms in the forest are organisms which are harmful to the forest, including wood beetles and pine beetles, etc.
The method comprises the steps of collecting forest images of all height layers through a camera, setting a plurality of collecting points on all height layers, arranging sound sensors in all collecting points, identifying positions of all pests in all height layers from the forest images of all height layers based on a computer vision technology, obtaining appearance images of all pests in all height layers, comparing the appearance images of all pests with preset characteristic images of all pests to obtain types of all pests, counting the number of pests in all pests to obtain positions of all pests according to the positions of all pests, and connecting the positions of all pests in all pests to obtain the movable range area of all pests; the method is used for acquiring the pest information corresponding to each height layer during each monitoring, and acquiring the biological information corresponding to each height layer during each monitoring according to the acquisition mode of the pest information corresponding to each height layer during each monitoring.
The hazard analysis module is used for extracting the activity range area and the number of various harmful organisms from the pest information corresponding to each height layer during each monitoring, acquiring the activity range area and the number of various organisms from the pest information corresponding to each height layer during each monitoring, further calculating the hazard value corresponding to each harmful organism in each height layer in the forest, judging the hazard state of various harmful organisms in each height layer, and recording various harmful organisms with hazard states in each height layer in a state to be treated as various target harmful organisms.
In a specific embodiment, the calculating the hazard value corresponding to each pest in each height layer in the forest specifically includes the following steps: comparing the activity range of each kind of harmful organism in each height layer with the activity range of each kind of organism in each time of monitoring to obtain the activity superposition area of each kind of harmful organism in each height layer and each kind of organism in each time of monitoring, and further dividing the activity range area of each kind of organism in each height layer in each time of monitoring to obtain the activity area occupation ratio of each kind of harmful organism in each height layer to each kind of organism in each time of monitoring.
Calculating the area change rate and the number change rate of the movable range of each kind of harmful organism in each height layer according to the movable range area and the number of each kind of harmful organism in each height layer during each monitoring, further analyzing the development value of each kind of harmful organism in each height layer, and recording as j represents the number corresponding to each height layer, j=1, 2.
It should be noted that, the rate of change of the area of the active area of the type g pest in the jth height layer during the i+1th monitoring = (the active area of the type g pest in the jth height layer during the i+1th monitoring-the active area of the type g pest in the jth height layer during the ith monitoring)/the active area of the type g pest in the jth height layer during the ith monitoring; the change rate of the number of the g-th harmful organisms in the j-th height layer in the i+1th monitoring process= (the number of the g-th harmful organisms in the j-th height layer in the i+1th monitoring process-the number of the g-th harmful organisms in the j-th height layer in the i-th monitoring process)/the number of the g-th harmful organisms in the j-th height layer in the i-th monitoring process), and thus the change rate of the area and the change rate of the number of the movable range of each harmful organism in each height layer in each monitoring process are calculated.
In the above, the development values of various harmful organisms in each height layer are analyzed, and the specific analysis process is as follows: the area change rate and the quantity change rate of the movable range of various harmful organisms in each height layer during each monitoring are respectively recorded as i represents the number corresponding to each monitoring, i=1, 2.
According to the calculation formulaObtaining the development value of the g-class pest in the j-th height layer +.>Wherein Sv and Nv are respectively the set area change rate of the movable range of the permitted pests and the set number change rate of the permitted pests, gamma 1 、γ 2 The weight factors of the area change rate and the weight factors of the pest number change rate of the set pest activity range are respectively.
Note that γ 1 、γ 2 All greater than 0 and less than 1.
The method is characterized in that the area change rate and the quantity change rate of the movable range of each type of pest during each historical treatment are extracted from the pest quarantine information management system, and then the average pest area change rate and the average pest quantity change rate are obtained through average calculation and are used as the set movable area change rate and the set quantity change rate of the permitted pests. The set rate of change of the area of the movable range of the permitted pests and the rate of change of the number of the permitted pests are real numbers, for example: the rate of change of the area of the movable range of the permitted pests, the rate of change of the number of permitted pests may be 0.2, 0.3, or 0.4, etc.
The method includes the steps that a pest quarantine information management system is used for sending a weight factor of the pest activity range area change rate and a weight factor setting suggestion table of the pest number change rate to each forestry expert user side, prompting each forestry expert to fill in suggested values of the weight factor of the pest activity range area change rate and the weight factor of the pest number change rate, so that suggested values of the weight factor of the pest activity range area change rate and the weight factor of the pest number change rate of each forestry expert are obtained, and then average suggested values of the weight factor of the pest activity range area change rate and the average suggested values of the weight factor of the pest number change rate are obtained through average calculation and serve as the activity range area change rate of the permitted pests and the number change rate of the permitted pests.
The area and the quantity of the movable range of each organism in each height layer during each monitoring are calculated by the change rate, the change rate of the area and the change rate of the quantity of each organism in each height layer during each monitoring are obtained, and the obstruction value of each organism in each height layer is analyzed according to the ratio of the movable area of each organism to each organism in each height layer during each monitoring and recorded as
In the above, the analyzing the blocking value of each kind of harmful organism in each height layer comprises the following specific analyzing process: comparing various harmful organisms in each high-level layer with various harmful organism corresponding harmful organism type sets stored in a database during each monitoring to obtain various harmful organism type sets corresponding to various harmful organisms in each high-level layer during each monitoring, and further comparing various harmful organisms in each high-level layer during each monitoring, thereby taking various organisms in the various harmful organism corresponding to the harmful organism type sets as various harmful organisms of various harmful organisms, and further obtaining various harmful organisms corresponding to various harmful organisms in each high-level layer during each monitoring.
According to the active area ratio of various harmful organisms to various organisms in each height layer during each monitoring, the active area ratio of various harmful organisms to various endangered organisms in each height layer during each monitoring is obtained and recorded asr represents the number corresponding to each type of compromised organism, r=1, 2.
According to the area change rate and the quantity change rate of the movable range of each organism in each height layer during each monitoring, the area change rate and the quantity change rate of the movable range of each harmful organism corresponding to each endangered organism in each height layer during each monitoring are respectively recorded as
According to the calculation formulaObtaining a barrier value for the g-th pest in the j-th height layer +.>Wherein e represents a natural constant, and Qv and Mv are the set change rate of the area of the movable range of the permitted living organism and the set change rate of the number of the permitted living organism, η 1 、η 2 The weight factors of the area change rate and the number change rate of the endangered living beings are respectively set.
Note that η is as follows 1 、η 2 All greater than 0 and less than 1.
The method also comprises the steps of extracting the area change rate and the quantity change rate of the movable range of various endangered organisms in each historical treatment from the pest quarantine information management system, calculating the average value to obtain the average area change rate and the average quantity change rate of the endangered organisms of the movable range of the endangered organisms, and taking the average area change rate and the average quantity change rate of the endangered organisms of the movable range of the endangered organisms as the set area change rate and the quantity change rate of the endangered organisms. The set change rate of the area of the movable range of the permitted endangered organisms and the change rate of the quantity of the permitted endangered organisms are real numbers, for example: the set rate of change of the area of the movable range of the permitted endangered living beings, the rate of change of the number of permitted endangered living beings can be 0.2, 0.3 or 0.4, etc.
The method includes the steps that a weight factor of the area change rate of a compromised biological activity range and a weight factor setting suggestion table of the area change rate of the compromised biological quantity are sent to each forestry expert user side through a pest quarantine information management system, each forestry expert is prompted to fill in the weight factor of the area change rate of the compromised biological activity range and the suggested value of the weight factor of the compromised biological quantity change rate, accordingly, the weight factor of the area change rate of the compromised biological activity range and the suggested value of the weight factor of the compromised biological quantity change rate of each forestry expert are obtained, and then the average suggested value of the weight factor of the area change rate of the compromised biological activity range and the average suggested value of the weight factor of the compromised biological quantity change rate are obtained through mean value calculation and serve as the weight factor of the area change rate of the compromised biological activity range and the weight factor of the compromised biological quantity change rate.
According to the calculation formulaObtaining a hazard value corresponding to the g-th harmful organism in the j-th high layer in the forest +.>Wherein ε is 1 、ε 2 The weight factors are the weight factors of the set development value and the weight factors of the inhibition value.
Epsilon is the same as epsilon 1 、ε 2 All greater than 0 and less than 1.
The pest quarantine information management system is used for sending a weight factor setting suggestion list of a development value and a weight factor setting suggestion list of a blocking value to each forestry expert user side, prompting each forestry expert to fill in the suggested value of the weight factor of the development value and the weight factor of the blocking value, so that the suggested value of the weight factor of the development value and the suggested value of the weight factor of the blocking value of each forestry expert are obtained, and then average suggested value of the weight factor of the development value and average suggested value of the weight factor of the blocking value are obtained through average calculation and are used as the weight factor of the development value and the weight factor of the blocking value.
In another specific embodiment, the determining the hazard status of each type of pest in each height layer specifically includes the following steps: comparing the hazard value of each type of pest in each height layer with the hazard value threshold stored in the database, if the hazard value of each type of pest in a certain height layer is larger than the hazard value threshold, indicating that the hazard state of the type of pest in the height layer is in a state to be treated, otherwise, indicating that the hazard state of the type of pest in the height layer is in a state to be treated, and judging the hazard state of each type of pest in each height layer.
The scheme analysis module is used for extracting the hazard values corresponding to various target pests in each height layer, extracting the treatment schemes and the treatment information corresponding to each historical treatment in the database, further acquiring the hazard values, the biological information, the treatment effect symbol values and the treatment cost of various target pests from the treatment information corresponding to each historical treatment, and further screening out the reference treatment scheme set of each height layer.
The treatment information comprises various target harmful organisms, the hazard value of the various target harmful organisms, biological information, treatment effect symbol value and treatment cost, and the biological information comprises the activity range area and the number of the various organisms.
After the forest management is completed, the forest manager counts all the expenses of the management, and then adds up the total expenses of the management to be used as the management cost, and then uploads the total expenses to a database for storage.
In a specific embodimentIn the embodiment of (2), the screening of the reference treatment scheme set of each height layer is performed as follows: analyzing biological matching values corresponding to each height layer and each history treatment according to biological information corresponding to each height layer and biological information corresponding to each history treatment during each monitoring, and marking as delta jx Wherein x represents a number corresponding to each history management, x=1, 2.
In the above, the biological matching values corresponding to each historical treatment of each height layer are analyzed, and the specific analysis process is as follows: extracting the activity range area and the number of each organism from the biological information corresponding to each height layer during each monitoring, and respectively recording asAnd->a represents the number corresponding to each type of organism, a=1, 2. The..u. extracting the activity area and quantity of each organism from the biological information corresponding to each history management, and respectively marking as +.>And->And then substitutes into the calculation formulaObtaining a biological matching value delta corresponding to the jth height layer and the xth historical treatment jx Wherein DeltaYS and DeltaYN are respectively the set allowable biological activity range area difference and allowable biological quantity difference, theta 1 、θ 2 The weight factors of the area difference and the biomass difference of the set biological activity range are respectively obtained.
Note that θ 1 、θ 2 All greater than 0 and less than 1.
It should be noted that, the area and the number of the activity ranges of the organisms corresponding to each historical treatment are extracted from the pest quarantine information management system, then the average biological activity range area and the average biological number of each historical treatment are obtained through average calculation, then the average biological activity range area of each historical treatment is subjected to difference calculation, the maximum difference is selected as the allowable biological activity range area difference, the average biological number of each historical treatment is subjected to difference calculation, and the maximum difference is selected as the allowable biological number difference. The set allowable biomass difference is real, for example: the difference in the number of permitted organisms to be set may be a real number of 24, 25 or 27, etc.
The method is characterized in that a pest quarantine information management system is used for sending a weight factor of a biological activity range area difference and a weight factor setting suggestion list of a biological number difference to each forestry expert user side, prompting each forestry expert to fill in suggested values of the weight factor of the biological activity range area difference and the weight factor of the biological number difference, so that suggested values of the weight factor of a development value and the weight factor of a blocking value of each forestry expert are obtained, and then average suggested values of the weight factor of the biological activity range area difference and average suggested values of the weight factor of the biological number difference are obtained through average calculation to serve as the weight factor of the biological activity range area difference and the weight factor of the biological number difference.
Comparing various target pests corresponding to each height layer with various pests corresponding to each historical treatment, counting to obtain the same target pest type number corresponding to each height layer and each historical treatment, and recording as XT jx
Respectively marking the hazard values corresponding to various target pests in each height layer and the hazard values corresponding to various target pests in each history treatment asw represents the numbers corresponding to the various target pests, w=1, 2. The term p is used herein, p is any integer greater than 2.
Calculating to obtain the matching value corresponding to each height layer and each history treatment according to the biological matching value corresponding to each height layer and each history treatment, the same target pest type number corresponding to each height layer and each history treatment, the hazard value corresponding to each target pest in each height layer, the hazard value corresponding to each target pest in each history treatment, the treatment efficiency value corresponding to each history treatment and the treatment cost corresponding to each history treatment.
In the above, the matching values corresponding to each height layer and each history management are obtained by calculation, and the specific process is as follows: the treatment effect symbol value and the treatment cost corresponding to each time of history treatment are respectively recorded asR x And then substitutes into the calculation formulaObtaining a matching value phi corresponding to the jth height layer and the xth historical treatment jx Wherein delta, XT, delta alpha, ->R is respectively a set standard biological matching value, the number of standard same target harmful organisms, a permissible hazard difference value, a standard treatment effect symbol value, a reference treatment cost and lambda 1 、λ 2 、λ 3 、λ 4 、λ 5 The weight factors of the set biological matching value, the weight factors of the same target pest type number, the weight factors of the allowable hazard difference value, the weight factors of the treatment efficiency symbol value and the weight factors of the reference treatment cost are respectively set.
Lambda is the sum of the values of lambda 1 、λ 2 、λ 3 、λ 4 、λ 5 All greater than 0 and less than 1.
It should be further noted that, by the pest quarantine information management system, the weight factors of the biological matching value, the weight factors of the same target pest type number, the weight factors of the allowable hazard difference value, the weight factors of the treatment effect symbol value, and the weight factor setting advice table of the reference treatment cost are sent to each forestry expert user side, so that each forestry expert is prompted to fill in the weight factors of the biological matching value, the weight factors of the same target pest type number, the weight factors of the allowable hazard difference value, the weight factors of the treatment effect symbol value, and the advice numerical value of the weight factors of the reference treatment cost, and then the weight factors of the biological matching value, the weight factors of the same target pest type number, the weight factors of the reference treatment effect symbol value, the average advice numerical value of the weight factors of the allowable hazard difference value, the weight factors of the treatment effect symbol value, and the weight factors of the reference treatment cost are obtained through mean value calculation.
Comparing the matching value corresponding to each height layer and each time of history treatment with the matching value threshold stored in the database, taking each time of history treatment larger than the matching value threshold in each height layer as each time of reference history treatment of each height layer, extracting the treatment scheme corresponding to each time of reference history treatment of each height layer as each treatment scheme of each height layer, and integrating to obtain the reference treatment scheme set of each height layer.
And the treatment monitoring module is used for acquiring pest information corresponding to each height layer after the treatment duration is preset when the height layers are treated, further calculating treatment effect symbol values corresponding to the height layers, and judging whether the treatment effect corresponding to the height layers is qualified or not.
The pest information corresponding to each height layer is obtained in a manner of obtaining the pest information corresponding to each height layer during each monitoring.
In a specific embodiment, the calculating the treatment effectiveness symbol value corresponding to each height layer includes the following specific calculating process: acquiring the activity range area and the number of various target pests from the pest information corresponding to each height layer, and respectively recording asw represents the numbers corresponding to the various target pests, w=1, 2. The term p is used herein, p is Any integer greater than 2, and obtaining the area and the permitted number of the permitted movable range of each target pest in each height layer based on the area and the permitted number of the permitted movable range corresponding to each pest stored in the database, which are respectively recorded as
According to the calculation formulaObtaining the treatment effect symbol value corresponding to the j-th height layer>Wherein τ 1 、τ 2 The weight factors of the set target pest activity range area and the target pest number are respectively set.
Note that τ 1 、τ 2 All greater than 0 and less than 1.
It should be noted that, the governance effective symbol value corresponding to each height layer is uploaded to the database for storage.
And the pest quarantine information management system is used for sending the weight factors of the target pest activity range area and the weight factor setting advice list of the target pest quantity to each forestry expert user side, prompting each forestry expert to fill out the advice values of the weight factors of the target pest activity range area and the weight factors of the target pest quantity, and obtaining the average advice values of the weight factors of the target pest activity range area and the average advice values of the weight factors of the target pest quantity through average calculation to serve as the weight factors of the target pest activity range area and the weight factors of the target pest quantity.
In another specific embodiment, the determining whether the treatment effect corresponding to each height layer is qualified or not includes the following specific determining process: comparing the treatment effect symbol value corresponding to each height layer with the set standard treatment effect symbol value, if the treatment effect symbol value corresponding to a certain height layer is smaller than the set standard treatment effect symbol value, judging that the treatment effect corresponding to the height layer is not qualified, otherwise, judging that the treatment effect corresponding to the height layer is qualified, and judging whether the treatment effect corresponding to each height layer is qualified in this way.
It should be noted that, extracting the corresponding treatment effect symbol value and treatment effect from the pest quarantine information management system when each time of history treatment, then selecting the treatment effect symbol value of which the treatment effect is qualified and corresponds to each time of history treatment, and then calculating the treatment effect symbol value of which the treatment effect is qualified and corresponds to each time of history treatment through weighted average to obtain the standard treatment effect symbol value. The set standard governance indicator value is a real number, for example, the set standard governance indicator value may be a real number of 10, 15, 20, or the like.
And the execution terminal is used for executing corresponding operations according to the reference treatment scheme set of each height layer and whether the treatment effect corresponding to each height layer is qualified.
It should be noted that, the reference treatment scheme set of each height layer is sent to the forest manager user side; and when the treatment effect corresponding to a certain height layer is unqualified, sending a prompt of poor treatment effect to forest management personnel.
The database is used for storing treatment schemes and treatment information corresponding to each historical treatment, storing a biological type set of corresponding harm of various harmful organisms, and storing a harm value threshold value, a matching value threshold value, a permitted activity range area and a permitted number corresponding to various harmful organisms.
According to the embodiment of the invention, the harmful organisms and organisms in each height layer in the forest are monitored and analyzed, various harmful substances to be treated in each height layer are screened, the reference treatment scheme of each height layer is screened out from the history treatment schemes, and the treatment effect of each height layer is monitored when the forest is treated in each height layer, so that the defect of manual data analysis in the traditional technology is overcome, the intelligent and automatic analysis of the harmful organism data is realized, the manual cost of forest management is reduced, the efficiency of data processing is improved, the error of manual data processing is eliminated, the accurate data is provided for the subsequent scheme formulation, the time and cost of scheme formulation are greatly reduced, the forest harmful organism treatment period is reduced, the efficiency and effect of forest harmful organism treatment are improved, the health of animals and plants in the forest is ensured, the ecological balance of the forest is also maintained, and the forest resource is protected.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined in the description.

Claims (3)

1. A forestry pest quarantine information management system is characterized by comprising the following modules:
the data monitoring module is used for dividing the forest into all height layers according to the height, further regularly monitoring pest information of all the height layers, and acquiring pest information and biological information corresponding to all the height layers during each monitoring;
the hazard analysis module is used for extracting the activity range area and the quantity of various harmful organisms from the harmful organism information corresponding to each height layer during each monitoring, acquiring the activity range area and the quantity of various harmful organisms from the biological information corresponding to each height layer during each monitoring, and further calculating the hazard value corresponding to each harmful organism in each height layer in a forest so as to judge the hazard state of various harmful organisms in each height layer, and recording various harmful organisms with hazard states in each height layer in a state to be treated as various target harmful organisms;
The method for calculating the hazard value corresponding to each pest in each height layer in the forest comprises the following specific calculation process:
comparing the activity range of each kind of harmful organism in each height layer with the activity range of each kind of organism to obtain the overlapping area of each kind of harmful organism in each height layer and each kind of organism in each monitoring, and further dividing the overlapping area by the activity range area of each kind of organism in each height layer to obtain the activity area ratio of each kind of harmful organism in each height layer to each kind of organism in each monitoring;
calculating the area change rate and the number change rate of the movable range of each kind of harmful organism in each height layer according to the movable range area and the number of each kind of harmful organism in each height layer during each monitoring, further analyzing the development value of each kind of harmful organism in each height layer, and recording asj represents the number corresponding to each level, j=1, 2. Once again, m is chosen, m is any integer greater than 2;
the area and the quantity of the movable range of each organism in each height layer during each monitoring are calculated by the change rate, the change rate of the area and the change rate of the quantity of each organism in each height layer during each monitoring are obtained, and the obstruction value of each organism in each height layer is analyzed according to the ratio of the movable area of each organism to each organism in each height layer during each monitoring and recorded as
According to the calculation formulaObtaining a hazard value corresponding to the g-th harmful organism in the j-th high layer in the forest +.>Wherein ε is 1 、ε 2 A weight factor of the set development value and a weight factor of the inhibition value;
the development values of various harmful organisms in each height layer are analyzed, and the specific analysis process is as follows:
the area change rate and the quantity change rate of the movable range of various harmful organisms in each height layer during each monitoring are respectively recorded asi represents the number corresponding to each monitoring, i=1, 2. Once again, n is, n is an integer greater than 2;
according to the calculation formulaObtaining the development value of the g-class pest in the j-th height layer +.>Wherein Sv and Nv are respectively the set area change rate of the movable range of the permitted pests and the set number change rate of the permitted pests, gamma 1 、γ 2 Respectively setting weight factors of the area change rate of the pest activity range and the change rate of the pest quantity;
the method is characterized by analyzing the obstruction values of various harmful organisms in each height layer, wherein the specific analysis process is as follows:
comparing various harmful organisms in each high-level layer with the biological type sets of the corresponding harm of various harmful organisms stored in the database during each monitoring to obtain the biological type sets of the corresponding harm of various harmful organisms in each high-level layer during each monitoring, and further comparing the biological type sets with various organisms in each high-level layer during each monitoring, thereby taking various organisms in the biological type sets of the corresponding harm of various harmful organisms as various endangered organisms of various harmful organisms, and further obtaining various endangered organisms corresponding to various harmful organisms in each high-level layer during each monitoring;
According to the active area ratio of various harmful organisms to various organisms in each height layer during each monitoring, the active area ratio of various harmful organisms to various endangered organisms in each height layer during each monitoring is obtained and recorded asr represents the numbers corresponding to various kinds of endangered organisms, r=1, 2. The number q is a number, q is an integer greater than 2;
obtaining the area of the movable range of various harmful organisms corresponding to various endangered organisms in each height layer during each monitoring according to the area change rate and the quantity change rate of the movable range of various organisms in each height layer during each monitoringThe change rate and the number change rate are respectively recorded as
According to the calculation formulaObtaining a barrier value for the g-th pest in the j-th height layer +.>Wherein e represents a natural constant, and Qv and Mv are the set change rate of the area of the movable range of the permitted living organism and the set change rate of the number of the permitted living organism, η 1 、η 2 Respectively setting a weight factor of the area change rate of the range of the endangered living beings and a weight factor of the change rate of the quantity of endangered living beings;
the scheme analysis module is used for extracting the hazard values corresponding to various target pests in each height layer, extracting the treatment schemes and the treatment information corresponding to each historical treatment in the database, further acquiring the hazard values, the biological information, the treatment effect symbol values and the treatment cost of various target pests from the treatment information corresponding to each historical treatment, and further screening out the reference treatment scheme set of each height layer;
The reference treatment scheme set of each height layer is screened out, and the specific screening process is as follows:
analyzing biological matching values corresponding to each height layer and each history treatment according to biological information corresponding to each height layer and biological information corresponding to each history treatment during each monitoring, and marking as delta jx Wherein j represents the number corresponding to each height layer, j=1, 2. Once again, m is chosen, x represents the number corresponding to each history management, x=1, 2..y, m, y are all any integer greater than 2;
comparing various target pests corresponding to each height layer with various pests corresponding to each historical treatment, counting to obtain the same target pest type number corresponding to each height layer and each historical treatment, and recording as XT jx
Respectively marking the hazard values corresponding to various target pests in each height layer and the hazard values corresponding to various target pests in each history treatment asw represents the numbers corresponding to the various target pests, w=1, 2. The term p is used herein, p is any integer greater than 2;
calculating to obtain matching values corresponding to each height layer and each history treatment according to biological matching values corresponding to each height layer and each history treatment, the same target pest type number corresponding to each height layer and each history treatment, hazard values corresponding to various target pests in each height layer, hazard values corresponding to various target pests in each history treatment, treatment efficiency symbol values corresponding to each history treatment and treatment cost corresponding to each history treatment;
Comparing the matching value corresponding to each height layer and each time of history treatment with the matching value threshold stored in the database, taking each time of history treatment larger than the matching value threshold in each height layer as each time of reference history treatment of each height layer, extracting treatment schemes corresponding to each time of reference history treatment of each height layer as each treatment scheme of each height layer, and integrating to obtain a reference treatment scheme set of each height layer;
the matching value corresponding to each history treatment of each height layer is obtained through calculation, and the specific process is as follows:
the treatment effect symbol value and the treatment cost corresponding to each time of history treatment are respectively recorded asR x And then substitutes into the calculation formula
Obtaining a matching value phi corresponding to the jth height layer and the xth historical treatment jx Wherein delta, XT, delta alpha, ->R is respectively a set standard biological matching value, the number of standard same target harmful organisms, a permissible hazard difference value, a standard treatment effect symbol value, a reference treatment cost and lambda 1 、λ 2 、λ 3 、λ 4 、λ 5 Respectively setting a weight factor of a biological matching value, a weight factor of the same target pest type number, a weight factor of a permissible hazard difference value, a weight factor of a treatment efficiency symbol value and a weight factor of a reference treatment cost;
The control monitoring module is used for acquiring pest information corresponding to each height layer after the control duration is preset when the height layers are controlled, further calculating control effect symbol values corresponding to the height layers, and judging whether the control effect corresponding to the height layers is qualified or not;
the specific calculation process of calculating the corresponding treatment effectiveness symbol value of each height layer is as follows:
acquiring the activity range area and the number of various target pests from the pest information corresponding to each height layer, and respectively recording asj represents the number corresponding to each height layer, j=1, 2..m, w represents the number corresponding to each target pest, w=1, 2..p, m, p are all arbitrary integers greater than 2, and simultaneously, based on the area and the number of the permitted movable ranges corresponding to each pest stored in the database, the area and the number of the permitted movable ranges of each target pest in each height layer are obtained and respectively recorded as +>
According to the calculation formulaObtaining the treatment effect symbol value corresponding to the j-th height layer>Wherein τ 1 、τ 2 Respectively setting a weight factor of the area of the target pest activity range and a weight factor of the number of target pests;
and the execution terminal is used for executing corresponding operations according to the reference treatment scheme set of each height layer and whether the treatment effect corresponding to each height layer is qualified.
2. A forestry pest quarantine information management system according to claim 1, wherein the determining the hazard status of each type of pest in each height layer is specifically determined as follows:
comparing the hazard value of each type of pest in each height layer with the hazard value threshold stored in the database, if the hazard value of each type of pest in a certain height layer is larger than the hazard value threshold, indicating that the hazard state of the type of pest in the height layer is in a state to be treated, otherwise, indicating that the hazard state of the type of pest in the height layer is in a state to be treated, and judging the hazard state of each type of pest in each height layer.
3. A forestry pest quarantine information management system according to claim 1, wherein the specific judgment process is as follows:
comparing the treatment effect symbol value corresponding to each height layer with the set standard treatment effect symbol value, if the treatment effect symbol value corresponding to a certain height layer is smaller than the set standard treatment effect symbol value, judging that the treatment effect corresponding to the height layer is not qualified, otherwise, judging that the treatment effect corresponding to the height layer is qualified, and judging whether the treatment effect corresponding to each height layer is qualified in this way.
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