CN117455231A - Monitoring and early warning method and system based on risk assessment model - Google Patents
Monitoring and early warning method and system based on risk assessment model Download PDFInfo
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- 238000012502 risk assessment Methods 0.000 title claims abstract description 24
- 241000607479 Yersinia pestis Species 0.000 claims abstract description 223
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M1/00—Stationary means for catching or killing insects
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Abstract
The invention provides a monitoring and early warning method and a system based on a risk assessment model, which are used for constructing an initial twin space corresponding to a target warehouse, receiving configuration information of a user side, and updating the initial twin space according to the configuration information to obtain a configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position; receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space; obtaining pest information corresponding to the virtual traps according to analysis results of the acquired images, and adjusting and canceling the configuration strategy to analyze the pest information to obtain the cancellation strategy of the monitoring subareas corresponding to each virtual trap; and updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to a user side for display.
Description
Technical Field
The invention relates to a monitoring and early warning technology, in particular to a monitoring and early warning method and system based on a risk assessment model.
Background
Along with the technical transformation of a tobacco factory, the change of a processing technology and an environment, the improvement of the product quality requirement, the risk caused by tobacco insect damage and the importance of monitoring and early warning are gradually recognized by people.
Tobacco may be degraded during manufacture if stored by insect pests such as tobacco beetles, tobacco stem borers, and the like. At present, the tobacco storing insects are usually trapped and counted by a trap, which consists of a piece of viscose paper board coated with small bags containing female beetle smell, and the adult male beetles are stuck when being attracted by the female beetle smell. By counting the number of insect pests on the trap, the worker can be made aware of the condition of the insect pests of the tobacco. However, in the prior art, the pest situation on the traps is usually counted by manual counting, because the tobacco warehouse is large, the number of the traps is usually large, and the monitoring areas corresponding to the traps are different, the efficiency of counting pest information is very low by manual counting, and the counting result is likely to be wrong.
Therefore, how to automatically count the pest situation on the trap and automatically analyze the counted pest situation is a urgent problem to be solved today.
Disclosure of Invention
The embodiment of the invention provides a monitoring and early warning method and a system based on a risk assessment model, which can automatically count the insect pest condition on a trap and automatically analyze the counted insect pest condition.
In a first aspect of the embodiment of the present invention, a monitoring and early warning method based on a risk assessment model is provided, including:
constructing an initial twin space corresponding to a target warehouse, receiving configuration information of a user side, and updating the initial twin space according to the configuration information to obtain a configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position;
receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space;
obtaining pest information corresponding to the virtual traps according to analysis results of the acquired images, and analyzing the pest information based on a risk assessment model adjustment cancellation configuration strategy to obtain cancellation strategies of monitoring subareas corresponding to the virtual traps;
updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display.
Optionally, in one possible implementation manner of the first aspect, an initial twin space corresponding to the target warehouse is constructed, configuration information of a user side is received, the initial twin space is updated according to the configuration information, and a configuration twin space including a plurality of virtual traps is obtained, the virtual traps include display slots, and the method includes:
and analyzing the configuration information to obtain position information corresponding to a plurality of actual traps, and generating corresponding virtual traps at corresponding positions in the initial twin space according to the position information to obtain the configuration twin space.
Optionally, in one possible implementation manner of the first aspect, receiving an upload request from a user side, determining a corresponding display slot as a target slot according to the upload request, acquiring an acquired image of the user side, updating the target slot based on the acquired image, and obtaining an actual twin space, where the determining step includes:
analyzing the uploading request to obtain a scanning uploading request and a clicking uploading request, determining a scanning uploading strategy according to the scanning uploading request, and determining a corresponding display slot position as a target slot position according to the scanning uploading strategy;
determining a click uploading strategy according to the click uploading request, and determining a corresponding display slot position as a target slot position according to the click uploading strategy;
acquiring an acquired image of the user side, and updating the target slot position based on the acquired image to obtain an actual twin space.
Optionally, in a possible implementation manner of the first aspect, determining a scan upload policy according to the scan upload request, and determining a corresponding display slot as the target slot according to the scan upload policy includes:
receiving scanning information of a positioning code corresponding to an actual trapper by the user side, and obtaining the position information of the actual trapper according to the scanning information;
and determining the corresponding virtual trap as a target trap according to the position information, and determining a display slot position corresponding to the target trap as a target slot position.
Optionally, in one possible implementation manner of the first aspect, determining a click uploading policy according to the click uploading request, and determining a corresponding display slot as a target slot according to the click uploading policy includes:
and calling the configuration twin space, sending the configuration twin space to the user side for display, receiving the virtual trapper selected by the user side based on the configuration twin space as a target trapper, and determining a display slot position corresponding to the target trapper as a target slot position.
Optionally, in one possible implementation manner of the first aspect, according to an analysis result of the collected image, pest information corresponding to the virtual trap is obtained, and based on a risk assessment model, a cancellation configuration strategy is adjusted and cancelled, and the pest information is analyzed, so as to obtain a cancellation strategy of a monitoring subarea corresponding to each virtual trap, including:
performing pest analysis on the acquired images according to a pest identification model to obtain pest information corresponding to the virtual trapper, wherein the pest information comprises pest types and pest numbers corresponding to the pest types;
and adjusting and canceling the configuration strategy based on the risk assessment model to analyze the pest information to obtain pest cancellation and cancellation grades corresponding to the pest types, and obtaining the cancellation and cancellation strategy of the monitoring subareas corresponding to the virtual traps according to the pest cancellation and cancellation grades.
Optionally, in one possible implementation manner of the first aspect, the analyzing the pest information based on a risk assessment model adjustment cancellation configuration policy to obtain a pest killing level corresponding to each pest type, and obtaining a killing policy of a monitoring subarea corresponding to the virtual trap according to the pest killing level, where the method includes:
a pest grade corresponding table is prepared, wherein the pest grade corresponding table comprises a plurality of preset pest types, a plurality of pest quantity intervals corresponding to the preset pest types and preset killing grades corresponding to the pest quantity intervals;
acquiring a pest quantity interval corresponding to the pest quantity as a target quantity interval based on the pest grade correspondence table, and acquiring a preset killing grade corresponding to the target quantity interval as a pest killing grade corresponding to the corresponding pest type;
and acquiring a monitoring subarea corresponding to the virtual trap, and determining a killing strategy of the corresponding monitoring subarea according to the pest killing grade corresponding to each pest type.
Optionally, in one possible implementation manner of the first aspect, updating the actual twin space according to each killing policy to obtain an indicated twin space, and sending the indicated twin space to the client for display, where the method includes:
generating killing display information corresponding to the monitoring subarea according to the insect pest information and the killing strategy;
acquiring the corresponding killing display slots of each monitoring subarea, filling the killing display information into the killing display slots of the corresponding monitoring subareas, and sending the obtained indication twin space to the user side for display;
wherein, each monitoring subarea is preset with a corresponding disinfection display slot.
Optionally, in one possible implementation manner of the first aspect, the method further includes:
receiving a monitoring subarea selected by the user side based on the indication twin space as a calibration subarea, and acquiring a calibration insect pest type input by the user side based on the calibration subarea and a calibration insect pest number corresponding to each calibration insect pest type;
determining a calibration killing level corresponding to the corresponding calibration pest type according to the pest level corresponding table and the calibration pest quantity, and updating killing display information corresponding to the calibration subarea based on the calibration pest type, the calibration pest quantity and the calibration killing level to obtain calibration display information;
and updating the indicated twin space based on the calibration display information to obtain a calibration twin space.
In a second aspect of the embodiment of the present invention, a monitoring and early warning system based on a risk assessment model is provided, including:
the configuration module is used for constructing an initial twin space corresponding to the target warehouse, receiving configuration information of a user side, updating the initial twin space according to the configuration information to obtain a configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position;
the acquisition module is used for receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space;
the killing module is used for obtaining pest information corresponding to the virtual traps according to the analysis result of the acquired images, and analyzing the pest information based on a risk assessment model adjustment and killing configuration strategy to obtain a killing strategy of a monitoring subarea corresponding to each virtual trap;
the display module is used for updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display.
The beneficial effects of the invention are as follows:
1. the invention can automatically count the insect pest condition on the trap and automatically analyze the counted insect pest condition. Specifically, the invention can generate a plurality of virtual traps corresponding to the position information of the actual traps, then acquire the acquired images uploaded by the user side to each virtual trap, and automatically analyze the acquired images to obtain the pest information corresponding to the corresponding virtual traps, so that the pest information corresponding to each virtual trap can be automatically analyzed and counted, and the pest information statistics efficiency is improved. After the pest information is obtained, the invention also obtains the killing strategy of the monitoring subareas corresponding to each virtual trapper according to the pest information, and obtains the indicated twin space through the killing strategy, thereby providing corresponding reference for the user in pest killing through the indicated twin space.
2. When the acquired images uploaded by the user side to each virtual trapper are acquired, the acquired images are uploaded in two ways, namely the acquired images are uploaded in a scanning way and the acquired images are uploaded in a clicking way, so that the corresponding uploading way can be configured for the user according to the uploading requirement of the user. When the acquired images are uploaded in a scanning mode, the virtual traps corresponding to the positioning codes of the actual traps are obtained according to the scanning information of the positioning codes of the user side, the acquired images are filled into the display slots of the corresponding virtual traps, and when the acquired images are uploaded in a clicking mode, the acquired images are filled into the display slots corresponding to the corresponding virtual traps according to the clicking information of the user on the corresponding virtual traps in the configuration twin space, so that the actual twin space comprising a plurality of acquired images can be obtained, and insect pest information of the acquired images corresponding to each virtual trap is automatically analyzed through the actual twin space.
3. When the pest information of the acquired image is analyzed, the pest type corresponding to the corresponding virtual trapper and the pest quantity corresponding to each pest type are automatically identified through the pest identification model, so that the automatic analysis and statistics of the pest information can be realized, and the efficiency of pest information statistics is improved. And the invention also obtains the corresponding pest killing grade of each pest type according to the pest number and the pest grade corresponding table, configures corresponding killing strategies for the corresponding monitoring subareas through the pest killing grade, and generates killing display information to display to the user through the killing strategies and pest information, thereby providing corresponding guidance and reference for the user when carrying out pest killing.
Drawings
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a monitoring and early warning system based on a risk assessment model according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, 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, an application scenario is schematically shown in the embodiment of the present invention. According to the invention, a twin space corresponding to the target warehouse is generated, the virtual trapper corresponding to the actual trapper is generated according to the configuration information of the user side, and the pest information is analyzed through the collected images uploaded to the display slot positions of the virtual trapper by the user, so that the disinfection strategy of the monitoring subarea corresponding to each virtual trapper can be determined according to the pest information, and a corresponding reference is provided for the user in pest disinfection.
The execution bodies of the present application may include, but are not limited to, at least one of: user equipment, network equipment, etc. The user equipment may include, but is not limited to, computers, smart phones, personal digital assistants (Personal Digital Assistant, abbreviated as PDA), and the above-mentioned electronic devices. The network device may include, but is not limited to, a single network server, a server group of multiple network servers, or a cloud of a large number of computers or network servers based on cloud computing, where cloud computing is one of distributed computing, and a super virtual computer consisting of a group of loosely coupled computers. This embodiment is not limited thereto. The method comprises the steps S1 to S4, and specifically comprises the following steps:
s1, constructing an initial twin space corresponding to a target warehouse, receiving configuration information of a user side, and updating the initial twin space according to the configuration information to obtain the configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot.
It will be appreciated that the traps in the target warehouse may be replaced at regular intervals, but the basic framework of the target warehouse will not change, so after the initial twin space corresponding to the target warehouse is constructed, a plurality of virtual traps can be configured for the initial twin space according to the configuration information of the user side, so that a configured twin space comprising a plurality of virtual traps can be obtained, and subsequent pest analysis operations can be performed through the configured twin space.
The specific implementation manner of step S1 based on the above embodiment may be:
and analyzing the configuration information to obtain position information corresponding to a plurality of actual traps, and generating corresponding virtual traps at corresponding positions in the initial twin space according to the position information to obtain the configuration twin space.
In practice, the location information of each actual trap may be different, for example, some traps may be placed between the upper and lower floors, and some traps may be placed at corresponding distances between the floors, so that corresponding virtual traps may be constructed at corresponding positions in the initial twin space according to the location information of each actual trap, so that each virtual trap may be in one-to-one correspondence with an actual trap.
S2, receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space.
After the configuration twin space is built, the configuration twin space is updated according to the acquired images acquired by the user side, so that pest information in each acquired image can be automatically analyzed according to the obtained actual twin space, and corresponding disinfection strategies are configured for the monitoring subareas corresponding to each virtual trapper through the analyzed pest information.
In some embodiments, step S2 may be implemented through steps S21 to S23, specifically as follows:
s21, analyzing the uploading request to obtain a scanning uploading request and a clicking uploading request, determining a scanning uploading strategy according to the scanning uploading request, and determining a corresponding display slot as a target slot according to the scanning uploading strategy.
In practical application, two virtual buttons can be set for users to select a mode of uploading images, the virtual buttons can respectively correspond to uploading in a scanning mode and uploading in a clicking mode, when the users select the uploading buttons in the scanning mode, uploading requests of the users can be determined to be scanning uploading requests, and target slots are determined through the scanning uploading requests. When the user selects the upload button in the click mode, the upload request of the user can be determined to be the click upload request, and the target slot position is determined by clicking the upload request, so that the acquired image can be filled into the target slot position later.
The specific implementation manner of determining the scan uploading policy according to the scan uploading request and determining the corresponding display slot as the target slot in step S21 based on the above embodiment may be:
s211, receiving scanning information of the positioning code corresponding to the actual trapper by the user side, and obtaining the position information of the actual trapper according to the scanning information.
In practical application, a positioning code may be set for each actual trap, where the positioning code may be in the form of a two-dimensional code, and the positioning code may correspond to position information of the corresponding actual trap. After the user side scans the positioning code, the position information of the corresponding actual trapper can be obtained according to the code scanning information.
S212, determining the corresponding virtual trap as a target trap according to the position information, and determining a display slot corresponding to the target trap as a target slot.
It will be appreciated that, since the virtual traps are constructed according to the position information of the corresponding actual traps, after the position information of the corresponding actual traps is obtained, the corresponding virtual traps can be determined as target traps according to the position information, and the display slots of the target traps can be used as target slots.
S22, determining a click uploading strategy according to the click uploading request, and determining a corresponding display slot position as a target slot position according to the click uploading strategy.
The specific implementation manner of step S22 based on the above embodiment may be:
and calling the configuration twin space, sending the configuration twin space to the user side for display, receiving the virtual trapper selected by the user side based on the configuration twin space as a target trapper, and determining a display slot position corresponding to the target trapper as a target slot position.
When the user selects the uploading mode of the clicking mode, the configuration twin space can be sent to the user to select the target trap, and the display slot position of the target trap is used as the target slot position.
S23, acquiring an acquired image of the user side, and updating the target slot position based on the acquired image to obtain an actual twin space.
In practical application, a user can acquire an image of an actual trapper based on a user side to obtain an acquired image, and after the acquired image is obtained, the acquired image is filled into a target slot, so that an actual twin space comprising a plurality of acquired images can be obtained.
And S3, obtaining pest information corresponding to the virtual traps according to analysis results of the acquired images, and analyzing the pest information based on a risk assessment model adjustment cancellation configuration strategy to obtain a cancellation strategy of the monitoring subareas corresponding to each virtual trap.
After the actual twin space is obtained, the scheme automatically analyzes all acquired images in the actual twin space to obtain pest information corresponding to the corresponding virtual traps, and a killing strategy of a monitoring subarea corresponding to each virtual trap is obtained through the pest information. Wherein each virtual trap is preconfigured with a corresponding monitoring sub-region.
The specific implementation manner of step S3 based on the above embodiment may be:
s31, carrying out pest analysis on the acquired images according to a pest identification model to obtain pest information corresponding to the virtual trapper, wherein the pest information comprises pest types and pest numbers corresponding to the pest types.
When the collected images are subjected to pest analysis, pest types in the collected images can be identified by adopting a pest type identification technology in the prior art, the number of the pests corresponding to each identified pest type is counted, and pest information of the corresponding virtual trapper is obtained through analyzing the obtained pest types and the number of the pests corresponding to each pest type.
S32, analyzing the pest information based on a risk assessment model adjustment cancellation configuration strategy to obtain pest killing grades corresponding to the pest types, and obtaining the killing strategy of the monitoring subareas corresponding to the virtual traps according to the pest killing grades.
It will be appreciated that the pest information of each virtual trap may be different, the number of pests corresponding to each pest type may be different, and the corresponding disinfection level may be different, so in order to configure a corresponding disinfection policy for its corresponding monitored sub-area according to the pest information corresponding to each virtual trap, the present solution may first obtain the pest disinfection level corresponding to each pest type, and then configure a corresponding disinfection policy for the corresponding monitored sub-area through the pest disinfection level.
In some embodiments, step S32 may be implemented through steps S321 to S323, specifically as follows:
s321, a pest grade corresponding table is called, wherein the pest grade corresponding table comprises a plurality of preset pest types, a plurality of pest quantity intervals corresponding to the preset pest types and preset killing grades corresponding to the pest quantity intervals.
In practical application, the preset pest types in the pest level corresponding table can include tobacco beetles, tobacco powder borers and other tobacco storing pests, and the preset killing level corresponding to the pest number interval can be correspondingly set higher as the pest number corresponding to the pest number interval is larger.
S322, obtaining the insect pest number interval corresponding to each insect pest number as a target number interval based on the insect pest grade corresponding table, and obtaining a preset killing grade corresponding to the target number interval as an insect pest killing grade corresponding to the corresponding insect pest type.
When the pest killing level corresponding to the corresponding pest type is obtained, the corresponding pest type in the pest level corresponding table can be found first, and then the preset killing level corresponding to the pest number interval in which the pest number is located under the corresponding pest type is found as the pest killing level.
S323, acquiring monitoring subareas corresponding to the virtual traps, and determining the killing strategies of the corresponding monitoring subareas according to the pest killing grades corresponding to the pest types.
In practical application, the killing strategy may be a drug ratio and a drug concentration determined according to the pest killing level corresponding to each pest type, and the higher the pest killing level is, the more the corresponding killing drug ratio is, and the higher the corresponding killing drug concentration is, which is not described herein.
By the method, the pest information corresponding to the acquired image can be automatically counted and analyzed, so that a corresponding killing strategy can be configured for a corresponding monitoring subarea according to the obtained pest information.
S4, updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display.
The scheme can update the actual twin space according to the killing strategy, so that corresponding references can be provided for users in pest killing through the updated indicated twin space.
The specific implementation manner of step S4 based on the above embodiment may be:
s41, generating killing display information corresponding to the monitoring subarea according to the insect pest information and the killing strategy.
The killing display information comprises the insect pest types corresponding to the corresponding monitoring subareas, the insect pest quantity corresponding to each insect pest type and the killing strategy during pest killing.
S42, acquiring the corresponding disinfection display slots of the monitoring subareas, filling the disinfection display information into the disinfection display slots of the corresponding monitoring subareas, and sending the obtained indication twin space to the user side for display.
Wherein, each monitoring subarea is preset with a corresponding disinfection display slot.
In practical application, each monitoring subarea can be preset with a corresponding disinfection display slot, so that the disinfection information of the corresponding monitoring subarea can be displayed correspondingly through the disinfection display slot, and corresponding reference is provided for a user in pest killing.
In addition, on the basis of the above embodiment, the present solution further includes the following embodiments:
s43, receiving the monitoring subarea selected by the user side based on the indication twin space as a calibration subarea, and acquiring the calibration insect pest type input by the user side based on the calibration subarea and the calibration insect pest quantity corresponding to each calibration insect pest type.
It can be understood that in practical application, when the pest information is automatically identified, an identification error may occur, so that the situation that the pest information obtained by analysis is wrong occurs, for example, when two pests are overlapped, the system may identify the pest as one pest, in this case, the user may calibrate the pest information in the monitored subarea, and input the corresponding calibrated pest type and the calibrated pest number corresponding to each calibrated pest type into the corresponding monitored subarea again, so that accuracy of display data may be improved.
S44, determining the calibration killing level corresponding to the corresponding calibration pest type according to the pest level corresponding table and the calibration pest quantity, and updating the killing display information corresponding to the calibration subarea based on the calibration pest type, the calibration pest quantity and the calibration killing level to obtain calibration display information.
After the calibrated pest types and the calibrated pest numbers corresponding to the calibrated pest types are obtained, the pest killing levels are correspondingly updated according to the obtained calibrated pest information, so that the killing display information of the calibrated subareas can be correspondingly updated through the updated calibrated killing levels, the calibrated pest types and the calibrated pest numbers, and the calibration display information with higher accuracy is obtained.
S45, updating the indicated twin space based on the calibration display information to obtain a calibration twin space.
By the mode, accuracy of the killing display information can be improved, and insect pest killing guidance with higher accuracy is provided for users.
Referring to fig. 2, a schematic structural diagram of a monitoring and early warning system based on a risk assessment model according to an embodiment of the present invention includes:
the configuration module is used for constructing an initial twin space corresponding to the target warehouse, receiving configuration information of a user side, updating the initial twin space according to the configuration information to obtain a configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position;
the acquisition module is used for receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space;
the killing module is used for obtaining pest information corresponding to the virtual traps according to the analysis result of the acquired images, and analyzing the pest information based on a risk assessment model adjustment and killing configuration strategy to obtain a killing strategy of a monitoring subarea corresponding to each virtual trap;
the display module is used for updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. The monitoring and early warning method based on the risk assessment model is characterized by comprising the following steps of:
constructing an initial twin space corresponding to a target warehouse, receiving configuration information of a user side, and updating the initial twin space according to the configuration information to obtain a configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position;
receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space;
obtaining pest information corresponding to the virtual traps according to analysis results of the acquired images, and analyzing the pest information based on a risk assessment model adjustment cancellation configuration strategy to obtain cancellation strategies of monitoring subareas corresponding to the virtual traps;
updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
constructing an initial twin space corresponding to a target warehouse, receiving configuration information of a user side, and updating the initial twin space according to the configuration information to obtain the configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position and comprises the following steps:
and analyzing the configuration information to obtain position information corresponding to a plurality of actual traps, and generating corresponding virtual traps at corresponding positions in the initial twin space according to the position information to obtain the configuration twin space.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, updating the target slot position based on the acquisition image, and obtaining an actual twin space, wherein the method comprises the following steps:
analyzing the uploading request to obtain a scanning uploading request and a clicking uploading request, determining a scanning uploading strategy according to the scanning uploading request, and determining a corresponding display slot position as a target slot position according to the scanning uploading strategy;
determining a click uploading strategy according to the click uploading request, and determining a corresponding display slot position as a target slot position according to the click uploading strategy;
acquiring an acquired image of the user side, and updating the target slot position based on the acquired image to obtain an actual twin space.
4. The method of claim 3, wherein the step of,
determining a scanning uploading policy according to the scanning uploading request, and determining a corresponding display slot as a target slot according to the scanning uploading policy, wherein the method comprises the following steps:
receiving scanning information of a positioning code corresponding to an actual trapper by the user side, and obtaining the position information of the actual trapper according to the scanning information;
and determining the corresponding virtual trap as a target trap according to the position information, and determining a display slot position corresponding to the target trap as a target slot position.
5. The method of claim 3, wherein the step of,
determining a click uploading policy according to the click uploading request, and determining a corresponding display slot as a target slot according to the click uploading policy, wherein the method comprises the following steps:
and calling the configuration twin space, sending the configuration twin space to the user side for display, receiving the virtual trapper selected by the user side based on the configuration twin space as a target trapper, and determining a display slot position corresponding to the target trapper as a target slot position.
6. The method according to claim 4 or 5, wherein,
obtaining pest information corresponding to the virtual traps according to the analysis result of the acquired images, analyzing the pest information based on a risk assessment model adjustment cancellation configuration strategy, and obtaining a cancellation strategy of a monitoring subarea corresponding to each virtual trap, wherein the method comprises the following steps:
performing pest analysis on the acquired images according to a pest identification model to obtain pest information corresponding to the virtual trapper, wherein the pest information comprises pest types and pest numbers corresponding to the pest types;
and adjusting and canceling the configuration strategy based on the risk assessment model to analyze the pest information to obtain pest cancellation and cancellation grades corresponding to the pest types, and obtaining the cancellation and cancellation strategy of the monitoring subareas corresponding to the virtual traps according to the pest cancellation and cancellation grades.
7. The method of claim 6, wherein the step of providing the first layer comprises,
analyzing the pest information based on a risk assessment model adjustment cancellation configuration strategy to obtain pest killing grades corresponding to the pest types, and obtaining the killing strategy of the monitoring subareas corresponding to the virtual traps according to the pest killing grades, wherein the method comprises the following steps:
a pest grade corresponding table is prepared, wherein the pest grade corresponding table comprises a plurality of preset pest types, a plurality of pest quantity intervals corresponding to the preset pest types and preset killing grades corresponding to the pest quantity intervals;
acquiring a pest quantity interval corresponding to the pest quantity as a target quantity interval based on the pest grade correspondence table, and acquiring a preset killing grade corresponding to the target quantity interval as a pest killing grade corresponding to the corresponding pest type;
and acquiring a monitoring subarea corresponding to the virtual trap, and determining a killing strategy of the corresponding monitoring subarea according to the pest killing grade corresponding to each pest type.
8. The method of claim 7, wherein the step of determining the position of the probe is performed,
updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display, wherein the method comprises the following steps:
generating killing display information corresponding to the monitoring subarea according to the insect pest information and the killing strategy;
acquiring the corresponding killing display slots of each monitoring subarea, filling the killing display information into the killing display slots of the corresponding monitoring subareas, and sending the obtained indication twin space to the user side for display;
wherein, each monitoring subarea is preset with a corresponding disinfection display slot.
9. The method as recited in claim 8, further comprising:
receiving a monitoring subarea selected by the user side based on the indication twin space as a calibration subarea, and acquiring a calibration insect pest type input by the user side based on the calibration subarea and a calibration insect pest number corresponding to each calibration insect pest type;
determining a calibration killing level corresponding to the corresponding calibration pest type according to the pest level corresponding table and the calibration pest quantity, and updating killing display information corresponding to the calibration subarea based on the calibration pest type, the calibration pest quantity and the calibration killing level to obtain calibration display information;
and updating the indicated twin space based on the calibration display information to obtain a calibration twin space.
10. A risk assessment model-based monitoring and early warning system, comprising:
the configuration module is used for constructing an initial twin space corresponding to the target warehouse, receiving configuration information of a user side, updating the initial twin space according to the configuration information to obtain a configuration twin space comprising a plurality of virtual traps, wherein each virtual trap comprises a display slot position;
the acquisition module is used for receiving an uploading request of a user side, determining a corresponding display slot position as a target slot position according to the uploading request, acquiring an acquisition image of the user side, and updating the target slot position based on the acquisition image to obtain an actual twin space;
the killing module is used for obtaining pest information corresponding to the virtual traps according to the analysis result of the acquired images, and analyzing the pest information based on a risk assessment model adjustment and killing configuration strategy to obtain a killing strategy of a monitoring subarea corresponding to each virtual trap;
the display module is used for updating the actual twin space according to each killing strategy to obtain an indication twin space, and sending the indication twin space to the user side for display.
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| CN117765451A (en) * | 2024-02-22 | 2024-03-26 | 江苏征途技术股份有限公司 | Joint control analysis method and system based on AI intelligent auxiliary control system equipment |
| CN117781896A (en) * | 2024-02-23 | 2024-03-29 | 天生桥二级水力发电有限公司 | Infrared detection processing method and device suitable for carbon brush of unit and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117765451A (en) * | 2024-02-22 | 2024-03-26 | 江苏征途技术股份有限公司 | Joint control analysis method and system based on AI intelligent auxiliary control system equipment |
| CN117765451B (en) * | 2024-02-22 | 2024-04-30 | 江苏征途技术股份有限公司 | Joint control analysis method and system based on AI intelligent auxiliary control system equipment |
| CN117781896A (en) * | 2024-02-23 | 2024-03-29 | 天生桥二级水力发电有限公司 | Infrared detection processing method and device suitable for carbon brush of unit and storage medium |
| CN117781896B (en) * | 2024-02-23 | 2024-05-10 | 天生桥二级水力发电有限公司 | Infrared detection processing method and device suitable for carbon brush of unit and storage medium |
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