Intelligent demisting system of visual termite monitoring equipment and control method of intelligent demisting system

Abstract

The invention discloses an intelligent demisting system of a visual termite monitoring device and a control method of the intelligent demisting system. The system comprises a heating part, a constant temperature control assembly, a temperature monitoring assembly, a power supply assembly and a cellular communication assembly. The constant-temperature control assembly is connected with other assemblies, and after the visual termite monitoring equipment executes a photographing task and reports data through the cellular communication assembly, the cellular communication assembly receives two types of instructions issued by the cloud platform, namely a fixed-time-length heating demisting instruction and an intelligent autonomous heating instruction; the constant-temperature control assembly is combined with demisting related temperature information fed back by the temperature monitoring assembly to correspondingly regulate and control the heating state of the heating component; after the heating is completed, the power supply assembly cuts off the power of the external components, so that the system is switched to a low-power-consumption mode, and meanwhile, the visual termite monitoring equipment can acquire clear images. Unification of efficient demisting and low-power-consumption operation is achieved.

Description

Technical Field

[0001] This invention belongs to the field of termite visualization monitoring technology, and more specifically, relates to an intelligent defogging system and its control method for a termite visualization monitoring device. Background Technology

[0002] In the field of termite monitoring, visual monitoring equipment, with its real-time image acquisition and data reporting capabilities, has become a core tool for accurately understanding termite activity patterns and is widely used in outdoor or semi-outdoor settings such as forests, farmland, and ancient buildings. However, in these settings, the large fluctuations in temperature and humidity, along with factors such as diurnal temperature differences and dew condensation, can easily cause condensation or water droplets to form on the camera windows of the monitoring equipment. This severely obstructs the lens's field of view, resulting in blurred images and the loss of crucial monitoring data.

[0003] Currently available termite monitoring devices generally lack targeted intelligent defogging mechanisms. Some devices adopt passive defogging designs, such as relying on the hydrophobic properties of the window coating, but their effectiveness is easily affected by ambient humidity and usage time, and their defogging ability significantly decreases after long-term use. A small number of other devices are equipped with simple heating defogging devices, which use a fixed heating mode and cannot be dynamically adjusted according to the actual fogging situation. This often results in insufficient heating leading to incomplete defogging, or excessive heating causing energy waste.

[0004] Field monitoring equipment largely relies on battery power, and its battery life directly determines the deployment cycle and monitoring efficiency. The unreasonable energy consumption of existing defogging devices further shortens the equipment's battery life and increases the maintenance costs associated with manual battery replacement. Furthermore, traditional defogging solutions lack integration with cloud platforms and cannot flexibly adapt defogging strategies to the environmental differences of different monitoring points, resulting in insufficient stability and reliability of the equipment in complex environments. These problems not only affect the accuracy and continuity of termite monitoring data but also limit the widespread application of visual monitoring equipment in complex field scenarios. Therefore, developing a defogging system that is adaptable to field environments, highly energy-efficient, and intelligently reliable is of significant practical importance for improving termite monitoring efficiency and reducing maintenance costs. Summary of the Invention

[0005] This invention aims to solve the problem of blurred image acquisition caused by condensation and fogging in the camera window of termite visualization monitoring equipment in complex field environments. In response to the shortcomings of existing defogging solutions, such as unreasonable energy consumption and poor adaptability, this invention provides a multi-component collaborative intelligent defogging system. Through cloud platform command linkage and differentiated defogging control, it achieves a balance between efficient defogging and low power consumption, thereby improving the monitoring stability and battery life of the equipment.

[0006] To address the aforementioned deficiencies or improvement needs of existing technologies, as a first aspect of this invention, the present invention provides an intelligent defogging system for a termite visualization monitoring device, comprising: Heating components for generating heat to eliminate condensation or water droplets in the camera window; a constant temperature control component for regulating the operating status of the heating components and executing defogging logic; a temperature monitoring component for collecting and feeding back defogging-related temperature information; a power supply component for providing power to the system components and the camera monitoring equipment and supporting low-power switching; and a cellular communication component for establishing bidirectional communication with the cloud platform to transmit control commands, parameters and equipment-related data. The constant temperature control component is connected to the heating element, temperature monitoring component, power supply component, and cellular communication component. After the termite visualization monitoring device performs a photo-taking task and reports data through the cellular communication component, the cellular communication component receives two types of instructions from the cloud platform: a fixed-duration heating and defogging instruction and an intelligent autonomous heating instruction. The constant temperature control component, in conjunction with the defogging-related temperature information fed back by the temperature monitoring component, adjusts the heating state of the heating element accordingly. When receiving a fixed-duration heating and defogging command, the temperature is monitored and adjusted simultaneously to ensure that fog or water droplets on the lens evaporate effectively. When receiving a smart autonomous heating command, it automatically controls the heating duration based on humidity and image capture conditions; After heating is complete, the power supply component cuts off the power to the peripheral components, switching the system to a low-power mode while ensuring that the termite visual monitoring device can capture clear images.

[0007] Furthermore, the heating component is an FPC heating film. By receiving power control commands from the constant temperature control component, the power supply component provides power to generate heat, which acts on the camera window of the termite visualization monitoring device, quickly evaporating the condensed water mist or water droplets on the surface of the window, providing an environmental guarantee for clear image acquisition.

[0008] Furthermore, the temperature monitoring component collects ambient temperature and camera window surrounding temperature data related to defogging in real time through a built-in temperature detection sensor, and feeds back the collected temperature information to the constant temperature control component in real time, providing data support for the constant temperature control component to regulate the heating state of the heating element.

[0009] Furthermore, the cellular communication component establishes a two-way communication link between the device and the cloud platform through a 4G Cat1 communication module. On the one hand, it receives control information from the cloud platform, including defogging mode commands, heating duration parameters, and heating temperature parameters. On the other hand, it uploads the device's operating status, temperature data collected by the temperature monitoring component, and image data captured by the monitoring device to the cloud platform, thereby realizing command transmission and data interaction and providing command basis for the constant temperature control component to regulate the defogging operation.

[0010] Furthermore, the power supply component provides stable and continuous power to the heating component, the constant temperature control component, the temperature monitoring component, the cellular communication component, and the camera of the termite visualization monitoring device, ensuring that each component operates normally during defogging and image acquisition. After the defogging task is completed, the power supply component switches to a low-power mode according to the control of the constant temperature control component, cutting off the unnecessary power supply to the peripheral components, realizing energy-saving operation of the system, and reserving sufficient power for subsequent monitoring tasks of the equipment.

[0011] Furthermore, the constant temperature control component, by operating a fixed defogging method and an intelligent defogging method, combined with the temperature information fed back by the temperature monitoring component and the cloud platform instructions received by the cellular communication component, regulates the start-up and shutdown, heating duration and heating temperature of the heating component. This ensures that the condensed water mist or water droplets on the lens can be effectively evaporated, while avoiding overheating and energy waste. At the same time, after the defogging is completed, it works with the power supply component to switch the system to a low-power mode, ensuring a balance between the defogging effect and the system's energy efficiency.

[0012] Furthermore, the fixed defogging method specifically includes: After the termite visualization monitoring device completes taking pictures and reporting data, the cellular communication component receives the data sent by the cloud platform, which carries the initial preset heating duration. The fixed-duration heating and defogging command, the The data was calculated by the cloud platform based on basic data including the historical ambient temperature and humidity of the monitoring point and the thermal conductivity coefficient of the window material. After the thermostat starts the heating element, it works in conjunction with the temperature monitoring component according to the sampling cycle. Real-time acquisition of camera window surface temperature sequence , With ambient temperature Construct a model of the rate of temperature change on the window surface. Meanwhile, the heat exchange efficiency between the window surface and the heating element is derived using the heat conduction equation. In the formula Rated power of the heating element; When the rate of temperature change Three consecutive sampling periods are less than the preset threshold When the temperature of the viewing window surface is determined to be stable, the thermostatic control component uses the heat balance equation. Calculate the required supplemental heating time In the formula For the equivalent heat-receiving mass of the viewing window, The specific heat capacity of the window material, The critical temperature at which the viewing window surface is free of fog; The final heating time of the system is Real-time monitoring during heating ,when achieve And it has been completed. When heating for an extended period of time, immediately stop the operation of the heating element; After defogging is completed, the temperature control component instructs the power supply component to cut off the power to the peripheral components, so that the system switches to a low-power mode.

[0013] Furthermore, the intelligent defogging method specifically includes: After the termite visualization monitoring device completes taking pictures and reporting data, the cellular communication component receives the intelligent autonomous heating command issued by the cloud platform, and the constant temperature control component immediately starts the intelligent defogging process: First, the monitoring equipment acquires the initial image from the camera window, and then simultaneously collects the ambient temperature from the temperature monitoring component. With window surface temperature A "photographic sharpness-temperature and humidity correlation determination model" was constructed; a grayscale image matrix was obtained through image grayscale processing. Calculate the gradient energy of the image. ,in , These represent the number of rows and columns of the image, respectively. , For grayscale images in , The gradient value in the direction, combined with the relative humidity of the environment. Calculate the zero-degree judgment value ,in The baseline gradient energy is the energy when the window is fog-free. When fog is detected in the viewing window, the heating element is activated. The preset haze threshold is used; The heating process employs a stepped adaptive control strategy: the initial heating is based on the base duration. After the heating process is complete, the window image is captured again and the haze determination value is calculated. ;like If so, the defogging is considered complete; if Based on the change in haze With temperature change The heating time required for the next stage is calculated using a coupled model of heat conduction and phase change. ,in, This refers to the surface temperature of the viewing window after the initial heating. To determine the critical temperature at which the viewing window is free of dew, the process of "heating - image acquisition - haze determination - duration iteration calculation" is executed cyclically. When the dew / fog determination values ​​collected twice consecutively meet the requirements and Or the total heating time reaches the preset maximum threshold. When the heating element stops operating, The preset stability threshold is used; After defogging is completed, the constant temperature control component instructs the power supply component to cut off unnecessary power to peripheral components, and the system switches to low power mode. At the same time, the system reports the defogging completion status and the finally acquired clear image to the cloud platform through the cellular communication component.

[0014] As a second aspect of the present invention, an intelligent defogging method for a termite visual monitoring device is also provided, applied to an intelligent defogging system of a termite visual monitoring device as described in any one of the claims, comprising the following steps: S1. After the termite visual monitoring device performs the photo-taking task, it reports the captured data to the cloud platform through the system's cellular communication component, triggering the defogging control process; S2. The cellular communication component receives a defogging instruction from the cloud platform. The instruction includes a fixed-duration heating defogging instruction with heating time parameters and an intelligent autonomous heating instruction, and transmits the instruction to the constant temperature control component. S3. The temperature monitoring component collects ambient temperature and camera window surrounding temperature data related to defogging in real time, and feeds back the collected temperature information to the constant temperature control component in real time; S4. The constant temperature control component combines the received cloud platform instructions and the temperature data fed back by the temperature monitoring component to run the corresponding defogging method; S5. After defogging is completed, the monitoring equipment performs normal photo acquisition tasks and reports the image data and equipment operating status to the cloud platform through the cellular communication component. Then, the constant temperature control component instructs the power supply component to cut off unnecessary power to the peripheral components, and the system switches to low power mode, waiting for the next monitoring task to be triggered.

[0015] Furthermore, the defogging method corresponding to S4 includes: If a fixed-duration heating and defogging command is received, the constant temperature control component will regulate the heating element to start and maintain it at the set temperature, continuously heating according to the heating time parameters in the command, and simultaneously dynamically adjusting the temperature through the temperature monitoring component to ensure that fog or water droplets on the lens are effectively evaporated. If a smart autonomous heating command is received, the constant temperature control component first controls the monitoring device to take a compressed photo. It then performs a comprehensive score by converting grayscale, calculating contrast, detecting gradient energy, and detecting high-frequency energy in blocks to determine whether the window is fogged. The heating component is then adjusted according to the step-by-step heating logic: if fog is detected for the first time, the heating is performed for at least 30 seconds. If fog is still detected after taking another photo, the heating is performed for at least 1 minute. This cycle continues until the photo is taken and no fog is detected.

[0016] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: 1. The intelligent defogging system of the termite visualization monitoring device of the present invention constructs a defogging system with deep hardware and control logic linkage through a collaborative architecture of heating components, constant temperature control components, temperature monitoring components, power supply components, and cellular communication components. After the device completes the photo-taking and data reporting, the cellular communication component receives a fixed-duration heating and defogging command or an intelligent autonomous heating command issued by the cloud platform. The constant temperature control component, as the core control unit, establishes connections with each functional component and adjusts the heating state of the heating component accordingly based on the defogging-related temperature information fed back by the temperature monitoring component. This multi-component collaborative architecture design ensures that defogging commands can be accurately received and executed, and temperature data can be collected and fed back in real time. It solves the problem that traditional monitoring equipment window defogging relies on manual intervention or single control logic, realizes the automation and intelligence of the defogging process, and ensures that the device can continuously collect clear images in complex field environments.

[0017] 2. The intelligent defogging system of the termite visualization monitoring device of the present invention adapts to different window fogging scenarios by flexibly switching between two differentiated defogging control logics. When receiving a fixed-duration heating defogging command, the constant temperature control component simultaneously monitors and adjusts the temperature, controlling the heating component to operate according to the preset duration of the command, ensuring effective evaporation of fog or water droplets on the lens; when receiving an intelligent autonomous heating command, the constant temperature control component autonomously controls the heating duration based on humidity and image capture conditions, without relying on real-time parameter distribution from the cloud platform. The switching between the two control logics is based on the combination of cloud platform commands and on-site environmental data, which not only meets the high efficiency requirements of standardized defogging scenarios but also takes into account the adaptability requirements of complex fogging scenarios, avoiding the defects of incomplete defogging or energy waste that exist in a single defogging mode under different environments, thus improving the system's environmental adaptability and operational economy.

[0018] 3. The intelligent defogging system of the termite visualization monitoring device of the present invention achieves reasonable control of system energy consumption through a low-power mode switching mechanism after defogging is completed. Upon determining that the defogging task is complete, the constant temperature control component immediately instructs the power supply component to cut off the power supply to peripheral components, switching the system from a high-power defogging operation state to a low-power standby state. This power consumption control mechanism, precisely triggered based on the completion status of the defogging task, eliminates the need for additional energy consumption monitoring equipment. It ensures the normal operating power requirements of each component during defogging while minimizing energy consumption during non-operational phases. This solves the problem of insufficient battery life caused by limited power supply in field monitoring equipment, extends the single deployment and usage time of the equipment, and enhances its practical application value. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the intelligent defogging system of the termite visualization monitoring device according to an embodiment of the present invention; Figure 2This is a flowchart of the intelligent defogging method for a termite visualization monitoring device according to an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0021] Example 1 Please refer to Figure 1 This embodiment 1 provides an intelligent defogging system for a termite visualization monitoring device, comprising: Heating components for generating heat to eliminate condensation or water droplets in the camera window; a constant temperature control component for regulating the operating status of the heating components and executing defogging logic; a temperature monitoring component for collecting and feeding back defogging-related temperature information; a power supply component for providing power to the system components and the camera monitoring equipment and supporting low-power switching; and a cellular communication component for establishing bidirectional communication with the cloud platform to transmit control commands, parameters and equipment-related data. The constant temperature control component is connected to the heating element, temperature monitoring component, power supply component, and cellular communication component. After the termite visualization monitoring device performs a photo-taking task and reports data through the cellular communication component, the cellular communication component receives two types of instructions from the cloud platform: a fixed-duration heating and defogging instruction and an intelligent autonomous heating instruction. The constant temperature control component, in conjunction with the defogging-related temperature information fed back by the temperature monitoring component, adjusts the heating state of the heating element accordingly. When receiving a fixed-duration heating and defogging command, the temperature is monitored and adjusted simultaneously to ensure that fog or water droplets on the lens evaporate effectively. When receiving a smart autonomous heating command, it automatically controls the heating duration based on humidity and image capture conditions; After heating is complete, the power supply component cuts off the power to the peripheral components, switching the system to a low-power mode while ensuring that the termite visual monitoring device can capture clear images.

[0022] This embodiment 1 provides a further detailed explanation of the above system components.

[0023] (1) Heating component In field applications of termite monitoring equipment, camera windows are prone to condensation or water droplets due to fluctuations in ambient temperature and humidity, directly affecting image clarity. This is a core pain point commonly faced by existing monitoring devices. To address this issue, the present invention incorporates a heating component specifically designed to generate heat to eliminate the aforementioned condensation or water droplets. This heating component utilizes an FPC heating film. This FPC heating film is thin, flexible, and provides uniform heating, allowing it to fit tightly against the camera window and ensure efficient heat transfer to the window surface.

[0024] When the system initiates the defogging process, the FPC heating film starts working upon receiving a power control command from the thermostat component. Simultaneously, the power supply component provides stable power, enabling the FPC heating film to rapidly generate heat and transfer it to the camera window. This heat acts on the condensed water vapor or droplets on the window surface, accelerating their evaporation and dissipation, quickly restoring the window's transparency. Throughout the process, the start-up and operation of the FPC heating film are precisely controlled by the thermostat component, ensuring that the timing and state of heating are adapted to the defogging requirements. This provides a stable environment for subsequent clear image acquisition by the termite visualization monitoring equipment, effectively solving the impact of window fogging on the accuracy of monitoring data in outdoor environments.

[0025] (2) Temperature control components In the field applications of termite visualization monitoring equipment, environmental temperature and humidity fluctuate greatly, and fogging conditions are complex and varied. A single defogging control logic cannot simultaneously address both defogging effectiveness and energy-saving requirements. Traditional defogging solutions often suffer from incomplete defogging or overheating due to inaccurate control. Therefore, this invention incorporates a constant temperature control component. Its core function is to regulate the operating status of the heating element and execute corresponding defogging logic. Through coordinated operation with the temperature monitoring component, cellular communication component, and power supply component, it achieves precise adaptation to different fogging scenarios, ensuring both the clarity of image acquisition and the economic efficiency of system operation.

[0026] The temperature control component operates guided by instructions from the cloud platform received by the cellular communication component. It can switch between fixed defogging and intelligent defogging methods, both of which require temperature information from the temperature monitoring component for regulation. In fixed defogging mode, after the termite visualization monitoring device takes pictures and reports the data, the cellular communication component receives a signal from the cloud platform containing the initial preset heating duration. The fixed-duration heating and defogging command, the The data was calculated by the cloud platform based on basic data including the historical ambient temperature and humidity of the monitoring point and the thermal conductivity coefficient of the window material. After the thermostat starts the heating element, it works in conjunction with the temperature monitoring component according to the sampling cycle. Real-time acquisition of camera window surface temperature sequence , With ambient temperature Construct a model of the rate of temperature change on the window surface. Meanwhile, the heat exchange efficiency between the window surface and the heating element is derived using the heat conduction equation. In the formula Rated power of the heating element; When the rate of temperature change Three consecutive sampling periods are less than the preset threshold When the temperature of the viewing window surface is determined to be stable, the thermostatic control component uses the heat balance equation. Calculate the required supplemental heating time In the formula For the equivalent heat-receiving mass of the viewing window, The specific heat capacity of the window material, The critical temperature at which the viewing window surface is free of fog; The final heating time of the system is Real-time monitoring during heating ,when achieve And it has been completed. When heating for an extended period of time, immediately stop the operation of the heating element; After defogging is completed, the temperature control component instructs the power supply component to cut off the power to the peripheral components, so that the system switches to a low-power mode.

[0027] In intelligent defogging mode, the process begins with the device taking and reporting photos. After the cellular communication component receives the intelligent autonomous heating command from the cloud platform, the temperature control component immediately initiates the intelligent defogging process. Considering that the degree of fogging in the field is affected by both temperature and humidity, relying solely on temperature or image data can easily lead to misjudgments. Therefore, the temperature control component first controls the monitoring device to acquire the initial image from the camera window. Simultaneously, it combines this with the ambient temperature and window surface temperature simultaneously collected by the temperature monitoring component to construct a judgment model that correlates image clarity with temperature and humidity. Specifically, after the termite visualization monitoring device completes taking photos and reporting the data, the cellular communication component receives the intelligent autonomous heating command from the cloud platform, and the temperature control component immediately initiates the intelligent defogging process. First, the monitoring equipment acquires the initial image from the camera window, and then simultaneously collects the ambient temperature from the temperature monitoring component. With window surface temperature A "photographic sharpness-temperature and humidity correlation determination model" was constructed; a grayscale image matrix was obtained through image grayscale processing. Calculate the gradient energy of the image. ,in , These represent the number of rows and columns of the image, respectively. , For grayscale images in , The gradient value in the direction, combined with the relative humidity of the environment. Calculate the zero-degree judgment value ,in The baseline gradient energy is the energy when the window is fog-free. When fog is detected in the viewing window, the heating element is activated. The preset haze threshold is used; The heating process employs a stepped adaptive control strategy: the initial heating is based on the base duration. After the heating process is complete, the window image is captured again and the haze determination value is calculated. ;like If so, the defogging is considered complete; if Based on the change in haze With temperature change The heating time required for the next stage is calculated using a coupled model of heat conduction and phase change. ,in, This refers to the surface temperature of the viewing window after the initial heating. To determine the critical temperature at which the viewing window is free of dew, the process of "heating - image acquisition - haze determination - duration iteration calculation" is executed cyclically. When the dew / fog determination values ​​collected twice consecutively meet the requirements and Or the total heating time reaches the preset maximum threshold. When the heating element stops operating, The preset stability threshold is used; After defogging is completed, the constant temperature control component instructs the power supply component to cut off unnecessary power to peripheral components, and the system switches to low power mode. At the same time, the system reports the defogging completion status and the finally acquired clear image to the cloud platform through the cellular communication component.

[0028] (3) Temperature monitoring component In field defogging scenarios using termite visualization monitoring equipment, the precise control of heating components by the thermostatic control unit relies heavily on real-time and accurate temperature data. Traditional defogging solutions often suffer from a mismatch between heating temperature and actual needs due to a lack of targeted temperature acquisition mechanisms. This results in either incomplete defogging due to insufficient temperature or energy waste due to excessively high temperature. Therefore, this invention incorporates a temperature monitoring component. Its core function is to collect and provide real-time feedback of temperature information related to defogging, offering reliable data for the thermostatic control unit's adjustment decisions.

[0029] The temperature monitoring component incorporates a dedicated temperature sensor, which is adaptively designed to stably adapt to complex temperature and humidity environments in the field, ensuring accurate temperature data collection under various climatic conditions. The collected temperature information primarily includes two core data points: the ambient temperature where the monitoring device is located, and the temperature around the camera's viewing window. The ambient temperature reflects the overall temperature background in the field, helping to determine the likelihood of fogging and the environmental conditions for fog dissipation; the temperature around the viewing window directly relates to the presence of condensation or water droplets, serving as a crucial basis for assessing heating effectiveness and adjusting heating strategies.

[0030] Throughout the entire defogging process, the temperature monitoring component remains continuously operational. From the moment the thermostatic control component initiates the defogging process, the temperature sensor collects the two types of temperature data mentioned above in real time at a set frequency, and immediately transmits the data to the thermostatic control component after collection. Whether it's analyzing the temperature change rate and deriving heat exchange efficiency in fixed defogging mode, or constructing the fog determination model and iteratively calculating the heating time in intelligent defogging mode, all rely on the real-time temperature data fed back by the temperature monitoring component. With this data support, the thermostatic control component can accurately grasp the operating effect of the heating element and the temperature change trend in the window, and promptly adjust the start / stop, heating time, and heating temperature of the heating element to ensure that the defogging process is efficient and energy-saving, avoiding various problems caused by blind heating.

[0031] (4) Power supply components In field deployments of termite monitoring devices, these devices often struggle to obtain a continuous and stable external power supply, relying primarily on built-in batteries. Battery life directly determines the monitoring cycle and maintenance costs. Traditional monitoring devices typically employ a single power supply mode, unable to adjust power consumption based on operating status. Even during non-operational periods, they maintain high power output, easily leading to energy waste and shortening the device's single-use duration. Therefore, this invention incorporates a power supply component. Its core function is to provide stable power to all system components and the monitoring device's cameras, while also supporting low-power mode switching, balancing device operational needs with energy-saving goals.

[0032] The power supply component is responsible for providing power to the entire intelligent defogging system, covering the heating components, temperature control components, temperature monitoring components, and cellular communication components. It also provides power to the camera in the termite visualization monitoring device. When the device performs its photo-taking task and initiates the defogging process, the power supply component outputs stable power, ensuring that the heating components can heat up quickly, the temperature monitoring components can continuously collect temperature data, the temperature control components can efficiently process commands and regulate the operation of each component, and the cellular communication components can smoothly transmit data and receive commands from the cloud platform. This ensures the smooth progress of the entire defogging process and provides a stable power guarantee for the camera to capture clear images.

[0033] After the defogging task is completed, the power supply component receives the control command from the temperature control component and immediately switches to a low-power supply mode. In this mode, the power supply component cuts off the unnecessary power supply to peripheral components such as heating elements, retaining only the minimum power consumption to maintain the system's basic standby and data reception functions, thus avoiding unnecessary power consumption. This on-demand power supply strategy ensures the normal operation of all components during the defogging and image acquisition phases while minimizing energy consumption during non-operational phases. This reserves sufficient power for subsequent monitoring tasks, effectively extending the equipment's field endurance and reducing the frequency of manual battery replacements.

[0034] (5) Cellular communication components In the field application of termite visualization monitoring equipment, the collaborative operation between the equipment and the remote control center is a crucial prerequisite for achieving intelligent defogging. Traditional monitoring equipment often suffers from unstable communication links and untimely data exchange, resulting in inaccurate defogging commands and difficulty in remotely monitoring the equipment's operating status, thus affecting the flexible adjustment of defogging strategies. Especially in large-scale, multi-location termite monitoring scenarios, the lack of an efficient two-way communication mechanism significantly increases on-site maintenance costs and reduces overall monitoring efficiency. To address this, this invention incorporates a cellular communication component, whose core function is to build a stable two-way communication bridge between the equipment and the cloud platform, enabling efficient interaction of commands and data, and ensuring the remote control and precise execution of intelligent defogging.

[0035] The cellular communication component uses a 4G Cat1 communication module to build the communication link. This module features low power consumption, wide coverage, and stable communication, making it adaptable to complex signal environments in the field. It ensures a stable connection with the cloud platform even at remote monitoring points, preventing the defogging process from stalling due to communication interruptions. Based on this communication link, the cellular communication component undertakes bidirectional data transmission tasks. On one hand, it receives various control information from the cloud platform. This information includes core defogging mode commands, namely fixed-duration heating defogging commands and intelligent autonomous heating commands, as well as detailed commands related to defogging, such as heating duration parameters and heating temperature parameters. These commands are the direct basis for the constant temperature control component to determine the defogging strategy and regulate the operation of the heating components.

[0036] On the other hand, the cellular communication component is responsible for uploading various data from the device to the cloud platform. This uploaded data includes real-time temperature data collected by the temperature monitoring component, such as ambient temperature and the temperature around the viewing window; device operating status data; and image data captured by the monitoring equipment. This data allows the cloud platform to comprehensively understand the device's operating status, on-site environmental conditions, and image acquisition quality at each monitoring point, and then accurately issue appropriate defogging commands based on this data. Through this two-way command transmission and data interaction, the cellular communication component achieves collaborative operation between the device and the cloud platform, enabling defogging operations to be performed remotely and intelligently without on-site manual intervention. It also provides data support for the cloud platform to optimize defogging strategies and manage multiple monitoring devices in a coordinated manner.

[0037] Example 2 Please refer to Figure 2 This embodiment 2 provides an intelligent defogging method for a termite visualization monitoring device, applied to the intelligent defogging system of any of the termite visualization monitoring devices described above, including the following steps: S1. After the termite visual monitoring device performs the photo-taking task, it reports the captured data to the cloud platform through the system's cellular communication component, triggering the defogging control process; S2. The cellular communication component receives a defogging instruction from the cloud platform. The instruction includes a fixed-duration heating defogging instruction with heating time parameters and an intelligent autonomous heating instruction, and transmits the instruction to the constant temperature control component. S3. The temperature monitoring component collects ambient temperature and camera window surrounding temperature data related to defogging in real time, and feeds back the collected temperature information to the constant temperature control component in real time; S4. The constant temperature control component combines the received cloud platform instructions and the temperature data fed back by the temperature monitoring component to run the corresponding defogging method; S5. After defogging is completed, the monitoring equipment performs normal photo acquisition tasks and reports the image data and equipment operating status to the cloud platform through the cellular communication component. Then, the constant temperature control component instructs the power supply component to cut off unnecessary power to the peripheral components, and the system switches to low power mode, waiting for the next monitoring task to be triggered.

[0038] Specifically, the defogging method corresponding to S4 includes: If a fixed-duration heating and defogging command is received, the constant temperature control component will regulate the heating element to start and maintain it at the set temperature, continuously heating according to the heating time parameters in the command, and simultaneously dynamically adjusting the temperature through the temperature monitoring component to ensure that fog or water droplets on the lens are effectively evaporated. If a smart autonomous heating command is received, the constant temperature control component first controls the monitoring device to take a compressed photo. It then performs a comprehensive score by converting grayscale, calculating contrast, detecting gradient energy, and detecting high-frequency energy in blocks to determine whether the window is fogged. The heating component is then adjusted according to the step-by-step heating logic: if fog is detected for the first time, the heating is performed for at least 30 seconds. If fog is still detected after taking another photo, the heating is performed for at least 1 minute. This cycle continues until the photo is taken and no fog is detected.

[0039] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. An intelligent defogging system for a termite visualization monitoring device, characterized in that, include: Heating components for generating heat to eliminate condensation or water droplets in the camera window; a constant temperature control component for regulating the operating status of the heating components and executing defogging logic; a temperature monitoring component for collecting and feeding back defogging-related temperature information; a power supply component for providing power to the system components and the camera monitoring equipment and supporting low-power switching; and a cellular communication component for establishing bidirectional communication with the cloud platform to transmit control commands, parameters and equipment-related data. The constant temperature control component is connected to the heating element, temperature monitoring component, power supply component, and cellular communication component. After the termite visualization monitoring device performs a photo-taking task and reports data through the cellular communication component, the cellular communication component receives two types of instructions from the cloud platform: a fixed-duration heating and defogging instruction and an intelligent autonomous heating instruction. The constant temperature control component, in conjunction with the defogging-related temperature information fed back by the temperature monitoring component, adjusts the heating state of the heating element accordingly. When receiving a fixed-duration heating and defogging command, the temperature is monitored and adjusted simultaneously to ensure that fog or water droplets on the lens evaporate effectively. When receiving a smart autonomous heating command, it automatically controls the heating duration based on humidity and image capture conditions; After heating is complete, the power supply component cuts off the power to the peripheral components, switching the system to a low-power mode while ensuring that the termite visual monitoring device can capture clear images.

2. The intelligent defogging system of the termite visualization monitoring device according to claim 1, characterized in that, The heating component is an FPC heating film. It receives power control commands from the constant temperature control component and is powered by the power supply component to generate heat. This heat is applied to the camera window of the termite visualization monitoring device, quickly evaporating condensation or water droplets on the surface of the window, thus providing an environment conducive to clear image acquisition.

3. The intelligent defogging system of the termite visualization monitoring device according to claim 1, characterized in that, The temperature monitoring component collects ambient temperature and camera window surrounding temperature data related to defogging in real time through a built-in temperature detection sensor, and feeds back the collected temperature information to the constant temperature control component in real time, providing data support for the constant temperature control component to regulate the heating state of the heating element.

4. The intelligent defogging system of a termite visualization monitoring device according to claim 1, characterized in that, The cellular communication component establishes a two-way communication link between the device and the cloud platform through a 4G Cat1 communication module. On the one hand, it receives control information from the cloud platform, including defogging mode commands, heating duration parameters, and heating temperature parameters. On the other hand, it uploads the device's operating status, temperature data collected by the temperature monitoring component, and image data captured by the monitoring device to the cloud platform, realizing command transmission and data interaction, and providing command basis for the constant temperature control component to regulate the defogging operation.

5. The intelligent defogging system of a termite visualization monitoring device according to claim 1, characterized in that, The power supply component provides stable and continuous power to the heating component, the constant temperature control component, the temperature monitoring component, the cellular communication component, and the camera of the termite visualization monitoring device, ensuring that each component operates normally during defogging and image acquisition. After the defogging task is completed, it switches to a low-power supply mode according to the regulation of the constant temperature control component, cutting off the unnecessary power supply to the peripheral components, realizing energy-saving operation of the system, and reserving sufficient power for subsequent monitoring tasks of the equipment.

6. The intelligent defogging system of a termite visualization monitoring device according to claim 1, characterized in that, The constant temperature control component regulates the start / stop, heating duration, and heating temperature of the heating element by operating a fixed defogging method and an intelligent defogging method, combined with temperature information fed back by the temperature monitoring component and cloud platform instructions received by the cellular communication component. This ensures that the condensed water mist or water droplets on the lens can be effectively evaporated, while avoiding overheating and energy waste. At the same time, after defogging is completed, the power supply component switches the system to a low-power mode, ensuring a balance between defogging effect and system energy saving.

7. The intelligent defogging system of a termite visualization monitoring device according to claim 6, characterized in that, The fixed defogging method is specifically as follows: After the termite visualization monitoring device completes taking pictures and reporting data, the cellular communication component receives the data sent by the cloud platform, which carries the initial preset heating duration. The fixed-duration heating and defogging command, the The data was calculated by the cloud platform based on basic data including the historical ambient temperature and humidity of the monitoring point and the thermal conductivity coefficient of the window material. After the thermostat starts the heating element, it works in conjunction with the temperature monitoring component according to the sampling cycle. Real-time acquisition of camera window surface temperature sequence , With ambient temperature Construct a model of the rate of temperature change on the window surface. Meanwhile, the heat exchange efficiency between the window surface and the heating element is derived using the heat conduction equation. In the formula Rated power of the heating element; When the rate of temperature change Three consecutive sampling periods are less than the preset threshold When the temperature of the viewing window surface is determined to be stable, the thermostatic control component uses the heat balance equation. Calculate the required supplemental heating time In the formula For the equivalent heat-receiving mass of the viewing window, The specific heat capacity of the window material, The critical temperature at which the viewing window surface is free of fog; The final heating time of the system is Real-time monitoring during heating ,when achieve And it has been completed. When heating for an extended period of time, immediately stop the operation of the heating element; After defogging is completed, the temperature control component instructs the power supply component to cut off the power to the peripheral components, so that the system switches to a low-power mode.

8. The intelligent defogging system of a termite visualization monitoring device according to claim 6, characterized in that, The intelligent defogging method is specifically as follows: After the termite visualization monitoring device completes taking pictures and reporting data, the cellular communication component receives the intelligent autonomous heating command issued by the cloud platform, and the constant temperature control component immediately starts the intelligent defogging process: First, the monitoring equipment acquires the initial image from the camera window, and then simultaneously collects the ambient temperature from the temperature monitoring component. With window surface temperature A "photographic sharpness-temperature and humidity correlation determination model" was constructed; a grayscale image matrix was obtained through image grayscale processing. Calculate the gradient energy of the image. ,in , These represent the number of rows and columns of the image, respectively. , For grayscale images in , The gradient value in the direction, combined with the relative humidity of the environment. Calculate the zero-degree judgment value ,in The baseline gradient energy is the energy when the window is fog-free. When fog is detected in the viewing window, the heating element is activated. The preset haze threshold is used; The heating process employs a stepped adaptive control strategy: the initial heating is based on the base duration. After the heating process is complete, the window image is captured again and the haze determination value is calculated. ;like If so, then the defogging is considered complete; if Based on the change in haze With temperature change The heating time required for the next stage is calculated using a coupled model of heat conduction and phase change. ,in, This refers to the surface temperature of the viewing window after the initial heating. To determine the critical temperature at which the window is free of condensation, the process of "heating - image acquisition - haze determination - duration iteration calculation" is executed cyclically. When the dew / fog determination values ​​collected twice consecutively meet the requirements and Or the total heating time reaches the preset maximum threshold. When the heating element stops operating, The preset stability threshold is used; After defogging is completed, the constant temperature control component instructs the power supply component to cut off unnecessary power to peripheral components, and the system switches to low power mode. At the same time, the system reports the defogging completion status and the finally acquired clear image to the cloud platform through the cellular communication component.

9. A smart defogging method for a termite visualization monitoring device, characterized in that, The intelligent defogging system applied to a termite visualization monitoring device as described in any one of claims 1-8 includes the following steps: S1. After the termite visual monitoring device performs the photo-taking task, it reports the captured data to the cloud platform through the system's cellular communication component, triggering the defogging control process; S2. The cellular communication component receives a defogging instruction from the cloud platform. The instruction includes a fixed-duration heating defogging instruction with heating time parameters and an intelligent autonomous heating instruction, and transmits the instruction to the constant temperature control component. S3. The temperature monitoring component collects ambient temperature and camera window surrounding temperature data related to defogging in real time, and feeds back the collected temperature information to the constant temperature control component in real time; S4. The constant temperature control component combines the received cloud platform instructions and the temperature data fed back by the temperature monitoring component to run the corresponding defogging method; S5. After defogging is completed, the monitoring equipment performs normal photo acquisition tasks and reports the image data and equipment operating status to the cloud platform through the cellular communication component. Then, the constant temperature control component instructs the power supply component to cut off unnecessary power to the peripheral components, and the system switches to low power mode, waiting for the next monitoring task to be triggered.

10. The intelligent defogging method for a termite visualization monitoring device according to claim 9, characterized in that, The defogging method corresponding to S4 includes: If a fixed-duration heating and defogging command is received, the constant temperature control component will regulate the heating element to start and maintain it at the set temperature, continuously heating according to the heating time parameters in the command, and simultaneously dynamically adjusting the temperature through the temperature monitoring component to ensure that fog or water droplets on the lens are effectively evaporated. If a smart autonomous heating command is received, the constant temperature control component first controls the monitoring device to take a compressed photo. It then performs a comprehensive score by converting grayscale, calculating contrast, detecting gradient energy, and detecting high-frequency energy in blocks to determine whether the window is fogged. The heating component is then adjusted according to the step-by-step heating logic: if fog is detected for the first time, the heating is performed for at least 30 seconds. If fog is still detected after taking another photo, the heating is performed for at least 1 minute. This cycle continues until the photo is taken and no fog is detected.

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