A visualized termite monitoring method and system with remote sterilization

Abstract

The application discloses a visual termite monitoring method and system with remote sterilization, and the method comprises the following steps: acquiring an image of a region to be sterilized and environmental information of the corresponding region, performing denoising processing on the image to generate a denoised image, wherein the environmental information comprises temperature and humidity; setting a termite activity intensity evaluation model, calculating the activity intensity of termites according to the denoised image, performing large-screen display on the activity intensity of termites, and setting a termite activity intensity threshold value; when the activity intensity of termites exceeds the termite activity intensity threshold value, the region to be sterilized needs to be sterilized; and a user starts a termite sterilization device to sterilize the corresponding position through the large screen, so that the remote sterilization operation of termites is completed.

Description

Technical Field

[0001] This invention belongs to the field of termite control technology, and more specifically, relates to a visual termite monitoring method and system with remote termite control capabilities. Background Technology

[0002] Termites primarily damage buildings by eroding wood and other organic materials. They obtain nutrients by consuming the cellulose in the wood, gradually destroying the wooden structure, such as beams, floors, and door and window frames. Over time, this damage can reduce the building's load-bearing capacity and even jeopardize its overall safety. Termites typically build nests inside the wood, making them difficult to detect. This insidious damage often continues for years until it causes severe structural damage, potentially leading to high repair costs and property loss. Therefore, effective termite prevention measures should be implemented during building design and construction, and regular inspections should be conducted to prevent termite infestations.

[0003] However, termites are currently monitored and exterminated manually, and cannot be automatically identified and remotely exterminated, resulting in low efficiency in termite control. Summary of the Invention

[0004] To address the above technical problems, this invention proposes a visualized termite monitoring method with remote extermination capabilities, comprising:

[0005] The image of the area to be disinfected and the corresponding environmental information of the area are acquired. The image is then denoised to generate a denoised image. The environmental information includes temperature and humidity.

[0006] A termite activity intensity assessment model is set up to calculate the termite activity intensity based on the denoised image. The termite activity intensity is then displayed on a large screen, and a termite activity intensity threshold is set. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated.

[0007] Users can remotely control termites by activating the termite extermination device through the large screen to exterminate the termites in the corresponding locations.

[0008] Furthermore, the termite activity intensity assessment model includes:

[0009]

[0010] Where A(x, y, t) is the activity intensity of termites at image location (x, y) at time t, α is the first adjustment factor of the termite activity intensity assessment model, and f env(x, y, t) represents the influence function of environmental factors on termite activity intensity at image location (x, y) at time t, β is the second adjustment factor of the termite activity intensity assessment model, and f image (x, y, t) is the termite activity monitoring function at image location (x, y) at time t, γ is the third adjustment factor of the termite activity intensity assessment model, N(x, y, t) is the number of termites at image location (x, y) at time t, K is the maximum number of termites that can be accommodated at image location (x, y), δ is the fourth adjustment factor of the termite activity intensity assessment model, A(x, y, t-1) is the activity intensity of termites at image location (x, y) at time t-1, t0 is the initial time, and r is the termite population growth rate.

[0011] Furthermore, the function f of the influence of environmental factors on the intensity of termite activity at image location (x,y) at time t. env (x,y,t) includes:

[0012] f env (x,y,t)=α1·exp(-λ1·(T(x,y,t)-T opt ) 2 )+α2

[0013] ·exp(-λ2·(H(x,y,t)-H opt ) 2 )

[0014] Where α1 is the first adjustment factor of the influence function, λ1 is the second adjustment factor of the influence function, T(x,y,t) is the temperature at image position (x,y) at time t, and T opt Let α be the optimal temperature for termite activity, α2 be the third adjustment factor of the influence function, λ2 be the fourth adjustment factor of the influence function, and H(x, y, t) be the humidity at image location (x, y) at time t. opt This is the optimal humidity for termite activity.

[0015] Furthermore, the termite activity monitoring function f at image location (x, y) at time t... image (x, y, t) includes:

[0016]

[0017] Where, α′ i Let L(x) be the weight of the i-th termite. i y i ,t) represents the position of the i-th termite in the image (x, t). i y i The brightness at point ), λ′ is the adjustment factor of the termite activity monitoring function, x iLet y be the x-coordinate of the i-th termite. i Let be the ordinate of the i-th termite.

[0018] Furthermore, it also includes: setting up a pest control effect evaluation model, and calculating the termite density at image location (x, y) after pest control at time t. When the termite density is less than a preset pest control threshold, the termite control is completed.

[0019] Furthermore, the disinfection effectiveness evaluation model includes:

[0020] E(x,y,t)=E0·exp(-δ′·(x 2 +y 2 ))·(1-exp(-τ·t))

[0021] Where E(x, y, t) is the termite density at image location (x, y) at time t after extermination, used to describe the extermination effect, E0 is the initial termite density, δ′ is the first adjustment factor of the extermination effect evaluation model, and τ is the second adjustment factor of the extermination effect evaluation model.

[0022] This invention also proposes a visual termite monitoring system with remote extermination capabilities, comprising:

[0023] The information acquisition module is used to acquire images of the area to be disinfected and the corresponding environmental information of the area, and to perform noise reduction processing on the images to generate a noise-reduced image. The environmental information includes temperature and humidity.

[0024] The model setting module is used to set up a termite activity intensity assessment model, calculate the termite activity intensity based on the denoised image, display the termite activity intensity on a large screen, and set a termite activity intensity threshold. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated.

[0025] The remote termite control module allows users to activate termite control equipment via a large screen to control termites in a specific location, thus completing the remote termite control operation.

[0026] Furthermore, the termite activity intensity assessment model includes:

[0027]

[0028] Where A(x, y, t) is the activity intensity of termites at image location (x, y) at time t, α is the first adjustment factor of the termite activity intensity assessment model, and f env (x, y, t) represents the influence function of environmental factors on termite activity intensity at image location (x, y) at time t, β is the second adjustment factor of the termite activity intensity assessment model, and fimage (x,y,t) is the termite activity monitoring function at image location (x,y) at time t, γ is the third adjustment factor of the termite activity intensity assessment model, N(x,y,t) is the number of termites at image location (x,y) at time t, K is the maximum number of termites that can be accommodated at image location (x,y), δ is the fourth adjustment factor of the termite activity intensity assessment model, A(x,y,t-1) is the activity intensity of termites at image location (x,y) at time t-1, t0 is the initial time, and r is the termite population growth rate.

[0029] Furthermore, the function f of the influence of environmental factors on the intensity of termite activity at image location (x, y) at time t. env (x, y, t) includes:

[0030] f env (x,y,t)=α1·exp(-λ1·(T(x,y,t)-T opt ) 2 )+α2

[0031] ·exp(-λ2·(H(x,y,t)-H opt ) 2 )

[0032] Where α1 is the first adjustment factor of the influence function, λ1 is the second adjustment factor of the influence function, T(x, y, t) is the temperature at image position (x, y) at time t, and T opt Let α be the optimal temperature for termite activity, α2 be the third adjustment factor of the influence function, λ2 be the fourth adjustment factor of the influence function, and H(x, y, t) be the humidity at image location (x, y) at time t. opt This is the optimal humidity for termite activity.

[0033] Furthermore, the termite activity monitoring function f at image location (x, y) at time t... image (x, y, t) includes:

[0034]

[0035] Where, α′ i Let L(x) be the weight of the i-th termite. i y i ,t) represents the position of the i-th termite in the image (x, t). i y i The brightness at point ), λ′ is the adjustment factor of the termite activity monitoring function, x i Let y be the x-coordinate of the i-th termite. i Let be the ordinate of the i-th termite.

[0036] likeFigure 5 and 6 As shown, in general, the above-described technical solutions conceived by this invention have the following beneficial effects compared with the prior art:

[0037] This invention improves termite control efficiency by setting up a termite activity intensity assessment model to calculate the activity intensity of termites and determine whether termite control is needed in the area to be controlled. Furthermore, users can remotely control termites through a large screen. Attached Figure Description

[0038] Figure 1 This is a flowchart of the method in Embodiment 1 of the present invention;

[0039] Figure 2 This is a schematic diagram of the structure of Embodiment 2 of the present invention;

[0040] Figure 3 This is a rendering of Embodiment 1 of the present invention;

[0041] Figure 4 This is a visual representation of Embodiment 1 of the present invention;

[0042] Figure 5 and Figure 6 This is an overall rendering of the invention. Detailed Implementation

[0043] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0044] The method provided by this invention can be implemented in a terminal environment that may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0045] A processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the terminal, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and by calling data stored in the storage medium.

[0046] Storage media can include random access memory (RAM) or read-only memory (ROM). Storage media can be used to store instructions, programs, code, code sets, or instructions.

[0047] The display screen is used to show the user interface of each application.

[0048] In addition, those skilled in the art will understand that the structure of the terminal described above does not constitute a limitation on the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. For example, the terminal may also include radio frequency circuits, input units, sensors, audio circuits, power supplies, and other components, which will not be described in detail here.

[0049] Example 1

[0050] like Figure 1 This embodiment proposes a visual termite monitoring method with remote extermination capabilities, including:

[0051] Step 101: Obtain an image of the area to be disinfected and the corresponding environmental information of the area; perform noise reduction processing on the image to generate a denoised image; wherein the environmental information includes temperature and humidity.

[0052] Step 102, as follows Figure 3 As shown, a termite activity intensity assessment model is set up to calculate the termite activity intensity based on the denoised image. The termite activity intensity is then displayed on a large screen, and a termite activity intensity threshold is set. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated.

[0053] Specifically, the termite activity intensity assessment model includes:

[0054]

[0055] Where A(x,y,t) is the activity intensity of termites at image location (x,y) at time t, α is the first adjustment factor of the termite activity intensity assessment model, and f env (x, y, t) represents the influence function of environmental factors on termite activity intensity at image location (x, y) at time t, β is the second adjustment factor of the termite activity intensity assessment model, and f image (x, y, t) is the termite activity monitoring function at image location (x, y) at time t, γ is the third adjustment factor of the termite activity intensity assessment model, N(x, y, t) is the number of termites at image location (x, y) at time t, K is the maximum number of termites that can be accommodated at image location (x, y), δ is the fourth adjustment factor of the termite activity intensity assessment model, A(x, y, t-1) is the activity intensity of termites at image location (x, y) at time t-1, t0 is the initial time, and r is the termite population growth rate.

[0056] Specifically, the function f of the influence of environmental factors on the intensity of termite activity at image location (x, y) at time t. env (x, y, t) includes:

[0057] f env (x,y,t)=α1·exp(-λ1·(T(x,y,t)-T opt ) 2 )+α2

[0058] ·exp(-λ2·(H(x,y,t)-H opt ) 2 )

[0059] Where α1 is the first adjustment factor of the influence function, λ1 is the second adjustment factor of the influence function, T(x, y, t) is the temperature at image position (x, y) at time t, and T opt Let α be the optimal temperature for termite activity, α2 be the third adjustment factor of the influence function, λ2 be the fourth adjustment factor of the influence function, and H(x, y, t) be the humidity at image location (x, y) at time t. opt This is the optimal humidity for termite activity.

[0060] Specifically, the termite activity monitoring function f at image location (x, y) at time t. image (x,y,t) includes:

[0061]

[0062] Where, α′ i Let L(x) be the weight of the i-th termite. i ,y i ,t) represents the position of the i-th termite in the image (x,t). i ,y i The brightness at point ), λ′ is the adjustment factor of the termite activity monitoring function, x i Let y be the x-coordinate of the i-th termite. i Let be the ordinate of the i-th termite.

[0063] Step 103, as follows Figure 4 As shown, users can activate the termite extermination device through the large screen to exterminate the termites in the corresponding location, thus completing the remote termite extermination operation.

[0064] Specifically, it also includes: setting up a pest control effect evaluation model and calculating the termite density at image location (x,y) after pest control at time t. When the termite density is less than a preset pest control threshold, the termite control is completed.

[0065] Specifically, the disinfection effect evaluation model includes:

[0066] E(x,y,t)=E0·exp(-δ′·(x 2 +y 2 ))·(1-exp(-τ·t))

[0067] Where E(x, y, t) is the termite density at image location (x, y) at time t after extermination, used to describe the extermination effect, E0 is the initial termite density, δ′ is the first adjustment factor of the extermination effect evaluation model, and τ is the second adjustment factor of the extermination effect evaluation model.

[0068] Specifically, in this implementation, the above weights and adjustment factors are fitted using the ant colony algorithm or gradient descent method.

[0069] Example 2

[0070] like Figure 2 As shown, this embodiment proposes a visualized termite monitoring system with remote extermination capabilities, including:

[0071] The information acquisition module is used to acquire images of the area to be disinfected and the corresponding environmental information of the area, and to perform noise reduction processing on the images to generate a noise-reduced image. The environmental information includes temperature and humidity.

[0072] The model setting module is used to set up a termite activity intensity assessment model, calculate the termite activity intensity based on the denoised image, display the termite activity intensity on a large screen, and set a termite activity intensity threshold. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated.

[0073] Specifically, the termite activity intensity assessment model includes:

[0074]

[0075] Where A(x, y, t) is the activity intensity of termites at image location (x, y) at time t, α is the first adjustment factor of the termite activity intensity assessment model, and f env (x, y, t) represents the influence function of environmental factors on termite activity intensity at image location (x, y) at time t, β is the second adjustment factor of the termite activity intensity assessment model, and f image (x,y,t) is the termite activity monitoring function at image location (x,y) at time t, γ is the third adjustment factor of the termite activity intensity assessment model, N(x,y,t) is the number of termites at image location (x,y) at time t, K is the maximum number of termites that can be accommodated at image location (x,y), δ is the fourth adjustment factor of the termite activity intensity assessment model, A(x,y,t-1) is the activity intensity of termites at image location (x,y) at time t-1, t0 is the initial time, and r is the termite population growth rate.

[0076] Specifically, the function f of the influence of environmental factors on the intensity of termite activity at image location (x, y) at time t. env (x, y, t) includes:

[0077] f env (x,y,t)=α1·exp(-λ1·(T(x,y,t)-T opt ) 2 )+α2

[0078] ·exp(-λ2·(H(x,y,t)-H opt ) 2 )

[0079] Where α1 is the first adjustment factor of the influence function, λ1 is the second adjustment factor of the influence function, T(x, y, t) is the temperature at image position (x, y) at time t, and T opt Let α be the optimal temperature for termite activity, α2 be the third adjustment factor of the influence function, λ2 be the fourth adjustment factor of the influence function, and H(x, y, t) be the humidity at image location (x, y) at time t. opt This is the optimal humidity for termite activity.

[0080] Specifically, the termite activity monitoring function f at image location (x, y) at time t. image (x, y, t) includes:

[0081]

[0082] Where, α′ i Let L(x) be the weight of the i-th termite. i y i ,t) represents the position of the i-th termite in the image (x, t). i y i The brightness at point ), λ′ is the adjustment factor of the termite activity monitoring function, x i Let y be the x-coordinate of the i-th termite. i Let be the ordinate of the i-th termite.

[0083] The remote termite control module allows users to activate termite control equipment via a large screen to control termites in a specific location, thus completing the remote termite control operation.

[0084] Specifically, it also includes: setting up a pest control effect evaluation model and calculating the termite density at image location (x, y) after pest control at time t. When the termite density is less than a preset pest control threshold, the termite control is completed.

[0085] Specifically, the disinfection effect evaluation model includes:

[0086] E(x,y,t)=E0·exp(-δ′·(x 2 +y 2 ))·(1-exp(-τ·t))

[0087] Where E(x, y, t) is the termite density at image location (x, y) at time t after extermination, used to describe the extermination effect, E0 is the initial termite density, δ′ is the first adjustment factor of the extermination effect evaluation model, and τ is the second adjustment factor of the extermination effect evaluation model.

[0088] Specifically, in this implementation, the above weights and adjustment factors are fitted using the ant colony algorithm or gradient descent method.

[0089] Example 3

[0090] This invention also proposes a storage medium storing multiple instructions for implementing the aforementioned visualized termite monitoring method with remote extermination capabilities.

[0091] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0092] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: Step 101, obtaining an image of the area to be disinfected and environmental information of the corresponding area, performing noise reduction processing on the image to generate a noise-reduced image, wherein the environmental information includes: temperature and humidity;

[0093] Step 102: Set up a termite activity intensity assessment model, calculate the termite activity intensity based on the denoised image, display the termite activity intensity on a large screen, and set a termite activity intensity threshold. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated.

[0094] Specifically, the termite activity intensity assessment model includes:

[0095]

[0096] Where A(x, y, t) is the activity intensity of termites at image location (x, y) at time t, α is the first adjustment factor of the termite activity intensity assessment model, and f env (x, y, t) represents the influence function of environmental factors on termite activity intensity at image location (x, y) at time t, β is the second adjustment factor of the termite activity intensity assessment model, and f image(x, y, t) is the termite activity monitoring function at image location (x, y) at time t, γ is the third adjustment factor of the termite activity intensity assessment model, N(x, y, t) is the number of termites at image location (x, y) at time t, K is the maximum number of termites that can be accommodated at image location (x, y), δ is the fourth adjustment factor of the termite activity intensity assessment model, A(x, y, t-1) is the activity intensity of termites at image location (x, y) at time t-1, t0 is the initial time, and r is the termite population growth rate.

[0097] Specifically, the function f of the influence of environmental factors on the intensity of termite activity at image location (x, y) at time t. env (x, y, t) includes:

[0098] f env (x,y,t)=α1·exp(-λ1·(T(x,y,t)-T opt ) 2 )+α2

[0099] ·exp(-λ2·(H(x,y,t)-H opt ) 2 )

[0100] Where α1 is the first adjustment factor of the influence function, λ1 is the second adjustment factor of the influence function, T(x, y, t) is the temperature at image position (x, y) at time t, and T opt Let α be the optimal temperature for termite activity, α2 be the third adjustment factor of the influence function, λ2 be the fourth adjustment factor of the influence function, and H(x, y, t) be the humidity at image location (x, y) at time t. opt This is the optimal humidity for termite activity.

[0101] Specifically, the termite activity monitoring function f at image location (x, y) at time t. image (x, y, t) includes:

[0102]

[0103] Where, α′ i Let L(x) be the weight of the i-th termite. i y i ,t) represents the position of the i-th termite in the image (x, t). i y i The brightness at point ), λ′ is the adjustment factor of the termite activity monitoring function, x i Let y be the x-coordinate of the i-th termite. i Let be the ordinate of the i-th termite.

[0104] Step 103, as follows Figure 4As shown, users can activate the termite extermination device through the large screen to exterminate the termites in the corresponding location, thus completing the remote termite extermination operation.

[0105] Specifically, it also includes: setting up a pest control effect evaluation model and calculating the termite density at image location (x, y) after pest control at time t. When the termite density is less than a preset pest control threshold, the termite control is completed.

[0106] Specifically, the disinfection effect evaluation model includes:

[0107] E(x,y,y)=E0·exp(-δ′·(x 2 +y 2 ))·(1-exp(-τ·t))

[0108] Where E(x, y, t) is the termite density at image location (x, y) at time t after extermination, used to describe the extermination effect, E0 is the initial termite density, δ′ is the first adjustment factor of the extermination effect evaluation model, and τ is the second adjustment factor of the extermination effect evaluation model.

[0109] Specifically, in this implementation, the above weights and adjustment factors are fitted using the ant colony algorithm or gradient descent method.

[0110] Example 4

[0111] This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to perform the aforementioned visualized termite monitoring method with remote extermination capabilities.

[0112] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.

[0113] The storage medium can be used to store software programs and modules, such as the remote-controlled visual termite monitoring method in this embodiment of the invention. The corresponding program instructions / modules allow the processor to execute various functional applications and data processing by running the software programs and modules stored in the storage medium, thus realizing the aforementioned remote-controlled visual termite monitoring method. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, which can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0114] The processor can call the information and application stored in the storage medium through the transmission system to perform the following steps: Step 101, acquire the image of the area to be disinfected and the environmental information of the corresponding area, perform noise reduction processing on the image to generate a noise-reduced image, wherein the environmental information includes: temperature and humidity;

[0115] Step 102: Set up a termite activity intensity assessment model, calculate the termite activity intensity based on the denoised image, display the termite activity intensity on a large screen, and set a termite activity intensity threshold. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated.

[0116] Specifically, the termite activity intensity assessment model includes:

[0117]

[0118] Where A(x, y, t) is the activity intensity of termites at image location (x, y) at time t, α is the first adjustment factor of the termite activity intensity assessment model, and f env (x, y, t) represents the influence function of environmental factors on termite activity intensity at image location (x, y) at time t, β is the second adjustment factor of the termite activity intensity assessment model, and f image (x,y,t) is the termite activity monitoring function at image location (x,y) at time t, γ is the third adjustment factor of the termite activity intensity assessment model, N(x,y,t) is the number of termites at image location (x,y) at time t, K is the maximum number of termites that can be accommodated at image location (x,y), δ is the fourth adjustment factor of the termite activity intensity assessment model, A(x,y,t-1) is the activity intensity of termites at image location (x,y) at time t-1, t0 is the initial time, and r is the termite population growth rate.

[0119] Specifically, the function f of the influence of environmental factors on the intensity of termite activity at image location (x, y) at time t. env (x, y, t) includes:

[0120] f env (x,y,t)=α1·exp(-λ1·(T(x,y,t)-T opt ) 2 )+α2

[0121] ·exp(-λ2·(H(x,y,t)-H opt ) 2 )

[0122] Where α1 is the first adjustment factor of the influence function, λ1 is the second adjustment factor of the influence function, T(x, y, t) is the temperature at image position (x, y) at time t, and T opt Let α be the optimal temperature for termite activity, α2 be the third adjustment factor of the influence function, λ2 be the fourth adjustment factor of the influence function, and H(x, y, t) be the humidity at image location (x, y) at time t. opt This is the optimal humidity for termite activity.

[0123] Specifically, the termite activity monitoring function f at image location (x, y) at time t. image (x, y, t) includes:

[0124]

[0125] Where, α′ i Let L(x) be the weight of the i-th termite. i y i ,t) represents the position of the i-th termite in the image (x, t). i y i The brightness at point ), λ′ is the adjustment factor of the termite activity monitoring function, x i Let y be the x-coordinate of the i-th termite. i Let be the ordinate of the i-th termite.

[0126] Step 103, as follows Figure 4 As shown, users can activate the termite extermination device through the large screen to exterminate the termites in the corresponding location, thus completing the remote termite extermination operation.

[0127] Specifically, it also includes: setting up a pest control effect evaluation model and calculating the termite density at image location (x, y) after pest control at time t. When the termite density is less than a preset pest control threshold, the termite control is completed.

[0128] Specifically, the disinfection effect evaluation model includes:

[0129] E(x,y,y)=E0·exp(-δ′·(x 2 +y 2 ))·(1-exp(-τ·t))

[0130] Where E(x, y, t) is the termite density at image location (x, y) at time t after extermination, used to describe the extermination effect, E0 is the initial termite density, δ′ is the first adjustment factor of the extermination effect evaluation model, and τ is the second adjustment factor of the extermination effect evaluation model.

[0131] Specifically, in this implementation, the above weights and adjustment factors are fitted using the ant colony algorithm or gradient descent method.

[0132] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0133] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0134] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0135] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0136] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0137] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, optical disks, and other media capable of storing program code.

[0138] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A visual termite monitoring method with remote extermination capabilities, characterized in that, include: The image of the area to be disinfected and the corresponding environmental information of the area are acquired. The image is then denoised to generate a denoised image. The environmental information includes temperature and humidity. A termite activity intensity assessment model is set up to calculate the termite activity intensity based on the denoised image. The termite activity intensity is then displayed on a large screen, and a termite activity intensity threshold is set. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated. The termite activity intensity assessment model includes: ， in, For time At the time of image location The activity intensity of termites in the area, This is the first adjustment factor in the termite activity intensity assessment model. For time At the time of image location The influence function of environmental factors on the intensity of termite activity. This is the second adjustment factor in the termite activity intensity assessment model. For time At the time of image location Termite activity monitoring function This is the third adjustment factor in the termite activity intensity assessment model. For time At the time of image location The number of termites in the area, Image location The maximum number of termites that a place can accommodate. This is the fourth adjustment factor in the termite activity intensity assessment model. For time At the time of image location The activity intensity of termites in the area, The initial time, The termite population growth rate; time At the time of image location Influence function of environmental factors on termite activity intensity include: ， in, As the first adjustment factor affecting the function, As the second adjustment factor affecting the function, For time At the time of image location The temperature at that location This is the optimal temperature for termite activity. As the third adjustment factor affecting the function, As the fourth adjustment factor affecting the function, For time At the time of image location Humidity at the location The optimal humidity for termite activity; time At the time of image location Termite activity monitoring function include: ， in, For the first The weight of each termite For the first Termites at the location in the image Brightness at that location This is an adjustment factor for the termite activity monitoring function. For the first The x-coordinate of each termite. For the first The vertical coordinate of a termite; Users can remotely control termites by activating the termite extermination device through the large screen to exterminate the termites in the corresponding locations.

2. The visual termite monitoring method with remote extermination capability as described in claim 1, characterized in that, Also includes: Set up a disinfection effectiveness evaluation model and calculate the time. At the time of image location The termite density after extermination is determined, and termite extermination is completed when the termite density is less than a preset extermination threshold.

3. The visual termite monitoring method with remote extermination capability as described in claim 2, characterized in that, The disinfection effectiveness evaluation model includes: ， in, For time At the time of image location The termite density after pest control is used to describe the effectiveness of the pest control efforts. Initial termite density, This is the first adjustment factor in the disinfection effect evaluation model. This is the second adjustment factor in the disinfection effect evaluation model.

4. A visual termite monitoring system with remote extermination capabilities, characterized in that, include: The information acquisition module is used to acquire images of the area to be disinfected and the corresponding environmental information of the area, and to perform noise reduction processing on the images to generate a noise-reduced image. The environmental information includes temperature and humidity. The model setting module is used to set up a termite activity intensity assessment model, calculate the termite activity intensity based on the denoised image, display the termite activity intensity on a large screen, and set a termite activity intensity threshold. When the termite activity intensity exceeds the termite activity intensity threshold, the area to be exterminated needs to be exterminated. The termite activity intensity assessment model includes: ， in, For time At the time of image location The activity intensity of termites in the area, This is the first adjustment factor in the termite activity intensity assessment model. For time At the time of image location The influence function of environmental factors on the intensity of termite activity. This is the second adjustment factor in the termite activity intensity assessment model. For time At the time of image location Termite activity monitoring function This is the third adjustment factor in the termite activity intensity assessment model. For time At the time of image location The number of termites in the area, Image location The maximum number of termites that a place can accommodate. This is the fourth adjustment factor in the termite activity intensity assessment model. For time At the time of image location The activity intensity of termites in the area, The initial time, The termite population growth rate; time At the time of image location Influence function of environmental factors on termite activity intensity include: ， in, As the first adjustment factor affecting the function, As the second adjustment factor affecting the function, For time At the time of image location The temperature at that location This is the optimal temperature for termite activity. As the third adjustment factor affecting the function, As the fourth adjustment factor affecting the function, For time At the time of image location Humidity at the location The optimal humidity for termite activity; time At the time of image location Termite activity monitoring function include: ， in, For the first The weight of each termite For the first Termites at the location in the image Brightness at that location This is an adjustment factor for the termite activity monitoring function. For the first The x-coordinate of each termite. For the first The vertical coordinate of a termite; The remote termite control module allows users to activate termite control equipment via a large screen to control termites in a specific location, thus completing the remote termite control operation.

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