Dew formation judgment and drop dew prevention and control regulation and control method based on temperature and humidity monitoring and visual identification

Abstract

The invention discloses a moisture condensation judgment and drop dew prevention and control method based on temperature and humidity monitoring and visual identification, which comprises the following steps: 1) a central processing unit judges the current drop dew risk level according to the difference between the indoor object surface temperature tsuf and the indoor dew point temperature tdp, if the current drop dew risk level is a medium drop dew risk level, the step 2) is executed, and if the current drop dew risk level is a high drop dew risk level, the step 3) is executed; if so, entering step 5); 2) the camera shoots an object surface image and transmits the image to the central processor; 3) judging the average distance and the average particle size of dripping dew on the surface of the object; 4) according to the average distance and the average particle size of the dew drops, determining whether the dehumidification system operates or not and an operation mode; (5) the dehumidification system is controlled to operate in a dew removal mode; and in the operation process of the dehumidification system, the operation mode of the dehumidification system is adjusted according to the average distance and the average particle size of the dew drops. The problems that the moisture condensation judgment effect is poor, moisture condensation state judgment is not fine, and the operation energy efficiency of a dehumidification system is low are solved.

Description

Technical Field

[0001] The present invention relates to the field of Dettol prevention and control, and specifically to a method for judging dew condensation and regulating Dettol prevention and control based on temperature and humidity monitoring and visual recognition. Background Art

[0002] In various industrial scenarios, ambient temperature and humidity are key factors affecting the safety and lifespan of equipment and structures. For example, in the construction field, when building structural materials are affected by moisture, it can lead to problems such as wood rot, metal corrosion, and wall peeling, thus affecting the service life and safety of the building as well as the comfort of the living environment. In a factory workshop, excessive humidity can cause products and production equipment to be affected by moisture, affecting product quality and the service life of various production equipment.

[0003] Existing methods for judging dew condensation mainly rely on threshold monitoring of static environmental parameters or calculation using empirical formulas. For example, the dew point temperature formula is used to determine whether the dew condensation condition is reached. These methods mainly have the following deficiencies:

[0004] Firstly, traditional methods usually judge whether dew condensation occurs based on the difference between the estimated temperature and the monitored temperature, with insufficient accuracy, and can only judge whether dew condensation occurs, unable to accurately judge the state changes after dew condensation and the risk of dripping, and there are no control and regulation means for preventing and controlling dripping.

[0005] Secondly, most traditional methods focus on judging the dew condensation risk under extreme climate conditions, cannot judge the dew condensation risk in real time, and are unable to accurately judge the state changes after dew condensation.

[0006] Finally, existing technologies mostly focus on whether dew condensation occurs, rather than whether the amount of dew condensation exceeds the standard and causes dripping, and cannot meet the needs of different scenarios.

[0007] Therefore, there is an urgent need for a determination and prevention technology with strong dynamic adaptability and accurate quantification of dew condensation and dripping risks. Summary of the Invention

[0008] The purpose of the present invention is to provide a method for judging dew condensation and regulating Dettol prevention and control based on temperature and humidity monitoring and visual recognition, including the following steps:

[0009] 1) Use a temperature sensor to monitor the surface temperature t of indoor objects suf , and use a dew point meter to monitor the indoor dew point temperature t dp ;

[0010] 2) The central processing unit judges the current dripping risk level according to the difference between the surface temperature t of indoor objects suf and the indoor dew point temperature t dp . If it is a medium dripping risk level, then enter step 3); if it is a high dripping risk level, then enter step 6); if it is a low dripping risk level, then return to step 1);

[0011] 3) The central processing unit controls the operation of the visual recognition mode and starts the camera; the camera captures the surface image of the object and transmits it to the central processing unit, then proceeds to step 4);

[0012] 4) The central processing unit sequentially performs binarization processing and feature extraction on the object surface image sequence within τ time to obtain image information, then proceeds to step 5); the image information includes the average spacing and average particle size of the Dettol droplets;

[0013] 5) The central processing unit determines whether the dehumidification system operates and its operation mode based on the average spacing and average particle size of the dew droplets within τ time;

[0014] The operation modes of the dehumidification system include the dew removal mode and the energy-saving mode;

[0015] 6) The central processing unit controls the dehumidification system to operate in the dew removal mode;

[0016] During the operation of the dehumidification system, adjust the operation mode and operation time of the dehumidification system according to the average spacing and average particle size of the dew droplets.

[0017] Furthermore, the temperature sensor is a thermocouple or an infrared thermometer.

[0018] Furthermore, the temperature sensor adopts a non-contact temperature sensor and is integrated into the camera.

[0019] Furthermore, in step 2), the medium Dettol risk level means that the temperature difference Δt continuously remains within the range (1 °C, 2 °C] within T time, or the current temperature difference Δt ∈ (2 °C, 5 °C]; the temperature difference Δt = t dp -t suf ; t dp 、t suf are the indoor dew point temperature and the object surface temperature respectively;

[0020] The high Dettol risk level means that the temperature difference Δt continuously remains greater than or equal to 3 °C within T time, or the current temperature difference Δt ≥ 5 °C;

[0021] The low Dettol risk level means that the temperature difference Δt continuously remains less than or equal to 1 °C within T time, or the current temperature difference Δt ≤ 2 °C.

[0022] Furthermore, in step 5), the steps for the central processing unit to determine whether the dehumidification system operates and its operation mode according to the object surface condensation state, average spacing and average particle size of the dew droplets include:

[0023] 5.1) Determine whether the object surface condensation state is non-condensing. If so, the dehumidification system does not operate; if not, proceed to step 5.2);

[0024] 5.2) Judge the indoor dew condensation risk status according to the dew condensation state on the object surface, the average spacing and average particle size of the dew drops. If it is a low dew condensation risk state, go to step 5.3); if it is a medium dew condensation risk state, go to step 5.4); if it is a high dew condensation risk state, go to step 5.5).

[0025] 5.3) The dehumidification system does not operate and returns to step 5.2).

[0026] 5.4) The dehumidification system operates in an energy-saving mode.

[0027] 5.5) The dehumidification system operates in a dew removal mode.

[0028] Furthermore, during the operation of the dehumidification system, the visual recognition mode continuously operates.

[0029] When there is no dew condensation on the object surface and the indoor dew point temperature t dp is greater than the object surface temperature t suf , the visual recognition mode continuously operates.

[0030] When there is no dew condensation on the object surface and the indoor dew point temperature t dp is less than or equal to the object surface temperature t suf , the visual recognition mode does not operate.

[0031] Furthermore, the medium dew condensation risk state means that the average spacing of the dew drops is greater than 1 mm and the average particle size is less than 1 mm.

[0032] The low dew condensation risk state means that there is no dew condensation on the object surface;

[0033] The high dew condensation risk state means that the average spacing of the dew drops is less than 1 mm or the average particle size is greater than 1 mm.

[0034] Furthermore, the dew removal mode refers to the full-power operation mode;

[0035] The energy-saving mode means that the dehumidification system operates intermittently or continuously at a low power.

[0036] Furthermore, in step 6), if the average spacing of the dew drops expands by more than 30% or the average particle size decreases by more than 30%, and the average spacing of the dew drops is greater than 1 mm and the average particle size is less than 1 mm, then switch to the energy-saving mode for operation;

[0037] If there is no dew condensation on the object surface, control the dehumidification system to stop operating.

[0038] Furthermore, in step 4), the methods of binarization processing include the global threshold method and the adaptive threshold method;

[0039] The methods of feature extraction include edge detection and corner detection.

[0040] The technical effect of the present invention is beyond doubt. The present invention provides a method for dew condensation determination and dripping prevention regulation based on temperature and humidity monitoring and visual recognition. In terms of dew condensation determination and its control method, by using technologies such as temperature sensing, visual recognition, and multi-level regulation, the problems of poor dew condensation determination effect, inaccurate dew condensation state determination, and low energy efficiency of the dehumidification system operation are solved. By superimposing temperature sensing and visual recognition for dew condensation determination, the dew condensation state is accurately determined and the dehumidification system is controlled to adopt corresponding dehumidification modes accordingly, achieving accurate determination and efficient dehumidification.

[0041] The present invention provides a method for dew condensation determination and dripping prevention regulation based on temperature and humidity monitoring and visual recognition. When dew condensation is allowed to appear on the object surface but dripping is not allowed, through the superposition of temperature sensing and visual recognition, accurate determination of the dew condensation state is achieved, and the operation state of the dehumidification system is correspondingly controlled to perform efficient dew removal and avoid the risk of dripping. Description of the Drawings

[0042] Figure 1 It is a flow chart of the dew condensation regulation method based on temperature monitoring and visual recognition. Detailed Embodiments

[0043] The present invention will be further described below in conjunction with embodiments, but it should not be understood that the above-mentioned subject scope of the present invention is limited to the following embodiments. Without departing from the above-mentioned technical idea of the present invention, various substitutions and modifications made according to ordinary technical knowledge and customary means in the art shall all be included within the protection scope of the present invention.

[0044] Embodiment 1:

[0045] Refer to Figure 1 , a method for dew condensation determination and dripping prevention regulation based on temperature and humidity monitoring and visual recognition, comprising the following steps:

[0046] 1) Use a temperature sensor to monitor the temperature t of the indoor object surface suf , use a dew point meter to monitor the indoor dew point temperature t dp ;

[0047] 2) The central processing unit judges the current dripping risk level according to the difference between the indoor object surface temperature t suf and the indoor dew point temperature t dp . If it is a medium dripping risk level, go to step 3); if it is a high dripping risk level, go to step 6); if it is a low dripping risk level, return to step 1);

[0048] 3) The central processing unit controls the operation of the visual recognition mode and starts the camera; the camera takes an image of the object surface and transmits it to the central processing unit, and enters step 4);

[0049] 4) The central processing unit sequentially performs binarization processing and feature extraction on the object surface image sequence within τ time to obtain image information, and proceeds to step 5); the image information includes the average spacing of Dettol drops and the average particle size.

[0050] 5) The central processing unit determines whether the dehumidification system operates and its operation mode based on the average spacing of dew drops and the average particle size within τ time.

[0051] The operation modes of the dehumidification system include a dew removal mode and an energy-saving mode.

[0052] 6) The central processing unit controls the dehumidification system to operate in the dew removal mode.

[0053] During the operation of the dehumidification system, adjust the operation mode and operation time of the dehumidification system according to the average spacing of dew drops and the average particle size.

[0054] The temperature sensor is a thermocouple or an infrared thermometer.

[0055] The temperature sensor adopts a non-contact temperature sensor and is integrated into the camera.

[0056] In step 2), the medium dew risk level means that the temperature difference Δt continuously remains within the range (1 °C, 2 °C] within T time, or the current temperature difference Δt ∈ (2 °C, 5 °C); the temperature difference Δt = t dp -t suf ; t dp 、t suf are the indoor dew point temperature and the object surface temperature respectively.

[0057] The high dew risk level means that the temperature difference Δt continuously remains greater than or equal to 3 °C within T time, or the current temperature difference Δt ≥ 5 °C;

[0058] The low dew risk level means that the temperature difference Δt continuously remains less than or equal to 1 °C within T time, or the current temperature difference Δt ≤ 2 °C.

[0059] In step 5), the steps for the central processing unit to determine whether the dehumidification system operates and its operation mode according to the object surface condensation state, the average spacing of dew drops and the average particle size include:

[0060] 5.1) Determine whether the object surface condensation state is non-condensing. If so, the dehumidification system does not operate; if not, proceed to step 5.2);

[0061] 5.2) Judge the indoor dew risk state according to the object surface condensation state, the average spacing of dew drops and the average particle size. If it is in a low dew risk state, proceed to step 5.3); if it is in a medium dew risk state, proceed to step 5.4); if it is in a high dew risk state, proceed to step 5.5);

[0062] 5.3) The dehumidification system does not operate, and return to step 5.2);

[0063] 5.4) The dehumidification system operates in an energy-saving mode.

[0064] 5.5) The dehumidification system operates in a dew removal mode.

[0065] During the operation of the dehumidification system, the visual recognition mode operates continuously;

[0066] When the dew condensation state on the object surface is not dewed, and the indoor dew point temperature t dp is greater than the object surface temperature t suf the visual recognition mode operates continuously;

[0067] When the dew condensation state on the object surface is not dewed, and the indoor dew point temperature t dp is less than or equal to the object surface temperature t suf the visual recognition mode does not operate.

[0068] The medium dew condensation risk state means that the average spacing of dew drops is greater than 1 mm, and the average particle size is less than 1 mm.

[0069] The low dew condensation risk state means that there is no dew condensation on the object surface;

[0070] The high dew condensation risk state means that the average spacing of dew drops is less than 1 mm, or the average particle size is greater than 1 mm.

[0071] The dew removal mode mentioned above refers to the full-power operation mode;

[0072] The energy-saving mode mentioned above refers to the intermittent operation of the dehumidification system or the continuous operation at low power.

[0073] In step 6), if the average spacing of dew drops expands by more than 30% or the average particle size decreases by more than 30%, and the average spacing of dew drops is greater than 1 mm and the average particle size is less than 1 mm, then switch to the energy-saving mode for operation;

[0074] If there is no dew condensation on the object surface, then control the dehumidification system to stop operating.

[0075] In step 4), the methods of binarization processing include the global threshold method and the adaptive threshold method;

[0076] The methods of feature extraction include edge detection (deep learning, neural network, Canny, Sobel operator, Prewitt operator, etc.), corner detection (deep learning, neural network, Harris, FAST algorithm, Shi-Tomasi, etc.).

[0077] Example 2:

[0078] A method for judging condensation and controlling dew dripping prevention based on temperature and humidity monitoring and visual recognition, comprising the following steps:

[0079] 1) Use a temperature sensor to monitor the surface temperature t of indoor objects suf , and use a dew point meter to monitor the indoor dew point temperature t dp ;

[0080] 2) The central processing unit judges the current dew dripping risk level according to the difference between the surface temperature t of indoor objects suf and the indoor dew point temperature t dp . If it is a medium dew dripping risk level, go to step 3). If it is a high dew dripping risk level, go to step 6). If it is a low dew dripping risk level, return to step 1);

[0081] 3) The central processing unit controls the operation of the visual recognition mode and starts the camera; the camera takes an image of the object surface and transmits it to the central processing unit, and enters step 4);

[0082] 4) The central processing unit sequentially performs binary processing and feature extraction on the object surface image sequence within τ time to obtain image information, and enters step 5); the image information includes the average dew drop spacing and the average particle size;

[0083] 5) The central processing unit determines whether the dehumidification system operates and its operation mode based on the average dew drop spacing and average particle size within τ time;

[0084] The operation modes of the dehumidification system include a dew removal mode and an energy-saving mode;

[0085] 6) The central processing unit controls the dehumidification system to operate in the dew removal mode;

[0086] During the operation of the dehumidification system, adjust the operation mode and operation time of the dehumidification system according to the average dew drop spacing and average particle size.

[0087] Example 3:

[0088] A method for judging condensation and controlling dew dripping prevention based on temperature and humidity monitoring and visual recognition, the technical content is the same as that of Example 2. Further, the temperature sensor is a thermocouple or an infrared thermometer.

[0089] Example 4:

[0090] A method for judging condensation and controlling dew dripping prevention based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Examples 2-3. Further, the temperature sensor is a non-contact temperature sensor and is integrated into the camera.

[0091] Example 5:

[0092] A method for judging dew condensation and preventing and controlling dripping dew based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Embodiments 2-4. Further, in step 2), the dripping dew risk level means that the temperature difference Δt continuously remains within the range (1°C, 2°C] within time T, or the current temperature difference Δt ∈ (2°C, 5°C); the temperature difference Δt = t dp -t suf ; t dp 、t suf are the indoor dew point temperature and the object surface temperature respectively;

[0093] The high dripping dew risk level means that the temperature difference Δt continuously is greater than or equal to 3°C within time T, or the current temperature difference Δt ≥ 5°C;

[0094] The low dripping dew risk level means that the temperature difference Δt continuously is less than or equal to 1°C within time T, or the current temperature difference Δt ≤ 2°C.

[0095] Example 6:

[0096] A method for judging dew condensation and preventing and controlling dripping dew based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Embodiments 2-5. Further, in step 5), the steps for the central processing unit to determine whether the dehumidification system operates and the operation mode according to the dew condensation state on the object surface, the average distance between dew drops and the average particle size include:

[0097] 5.1) Judge whether the dew condensation state on the object surface is dew-free. If so, the dehumidification system does not operate; if not, go to step 5.2);

[0098] 5.2) Judge the indoor dripping dew risk state according to the dew condensation state on the object surface, the average distance between dew drops and the average particle size. If it is a low dripping dew risk state, go to step 5.3); if it is a medium dripping dew risk state, go to step 5.4); if it is a high dripping dew risk state, go to step 5.5);

[0099] 5.3) The dehumidification system does not operate, and return to step 5.2);

[0100] 5.4) The dehumidification system operates in an energy-saving mode.

[0101] 5.5) The dehumidification system operates in a dew removal mode.

[0102] Example 7:

[0103] A method for judging dew condensation and preventing and controlling dripping dew based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Embodiments 2-6. Further, during the operation of the dehumidification system, the visual recognition mode continuously operates;

[0104] The dew condensation state on the object surface is dew-free, and the indoor dew point temperature t dpGreater than the object surface temperature t suf When, the visual recognition mode runs continuously;

[0105] The dew condensation state on the object surface is not dew condensation, and the indoor dew point temperature t dp Less than or equal to the object surface temperature t suf When, the visual recognition mode does not run.

[0106] Example 8:

[0107] A dew condensation determination and dripping prevention and control method based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Examples 2-7. Further, the dripping risk state refers to that the average distance between dew drops is greater than 1 mm and the average particle size is less than 1 mm.

[0108] The low dripping risk state means that there is no dew condensation on the object surface;

[0109] The high dripping risk state means that the average distance between dew drops is less than 1 mm or the average particle size is greater than 1 mm.

[0110] Example 9:

[0111] A dew condensation determination and dripping prevention and control method based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Examples 2-8. Further, the dew removal mode refers to the full power operation mode;

[0112] The energy-saving mode refers to the intermittent operation of the dehumidification system or the low-power continuous operation.

[0113] Example 10:

[0114] A dew condensation determination and dripping prevention and control method based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Examples 2-9. Further, in step 6), if the average distance between dew drops expands by more than 30% or the average particle size decreases by more than 30%, and the average distance between dew drops is greater than 1 mm and the average particle size is less than 1 mm, then switch to the energy-saving mode for operation;

[0115] If there is no dew condensation on the object surface, then control the dehumidification system to stop running.

[0116] Example 11:

[0117] A dew condensation determination and dripping prevention and control method based on temperature and humidity monitoring and visual recognition, the technical content is the same as any one of Examples 2-10. Further, in step 4), the methods of binarization processing include the global threshold method and the adaptive threshold method;

[0118] The methods of feature extraction include edge detection and corner detection.

[0119] Example 12:

[0120] A method for judging condensation and controlling the prevention and treatment of dripping based on temperature and humidity monitoring and visual recognition is as follows:

[0121] Use a temperature sensor to monitor the indoor t suf (temperature of the object surface), and use a dew point meter to monitor the indoor t dp (indoor dew point temperature). Here, the temperature sensor can be a thermocouple or an infrared thermometer.

[0122] The central processing unit determines whether to run the visual recognition mode to accurately divide the condensation state based on the relative magnitudes of t dp and t suf . When t dp is higher than t suf , condensation begins on the object surface. When t dp is higher than t suf within 0°C to 2°C, the central processing unit determines that there is a low dripping risk at this time; when t dp is higher than t suf between 2°C and 5°C, the central processing unit determines that there is a medium dripping risk at this time; when t dp is higher than t suf above 5°C, the central processing unit determines that there is a high dripping risk at this time. If t dp is higher than t suf within 1°C to 2°C within 5 minutes, the central processing unit also determines that there is a medium dripping risk; if t dp is higher than t suf by 3°C within 5 minutes, the central processing unit determines that there is a high dripping risk.

[0123] After the central processing unit determines that it is in a medium dripping risk state, it controls the operation of the visual recognition mode. The camera is started, and the camera monitors the object surface to obtain the surface image of the unit. The central processing unit performs operations such as image binarization, feature extraction, and image sequence processing on the image, and finally obtains data such as whether there is condensation on the object surface, the average spacing of dew drops, and the average particle size. Based on the average spacing and average particle size of the dew drops, it is determined whether the dehumidification system operates and the operation mode. When there is no condensation on the object surface, the dehumidification system does not operate, and the visual recognition mode continues to operate. It is determined whether to stop operating based on the relative magnitudes of t dp and t suf . When the condensation on the object surface is within the limited range, that is, when both the average spacing and average particle size of the dew drops are less than 1 mm, the dehumidification system operates in an energy-saving mode. In this mode, the operating power of the dehumidification system can be dynamically adjusted according to data such as the average spacing and average particle size of the dew drops to ensure that the average spacing and average particle size of the dew drops do not further develop. When the condensation on the object surface is outside the limited range, the central processing unit determines that it is in a high dripping risk state.

[0124] After the central processing unit determines that the high Dettol risk state exists, if the visual recognition mode has been started and is running, it will maintain the running state. If the visual recognition mode has not been running, it will control the visual recognition mode to run, and finally obtain data such as whether there is dew condensation on the object surface, the average spacing of dew drops, and the average particle size. At the same time, the dehumidification system runs in the dew removal mode. In this mode, the dehumidification system runs at full power to remove the dew drops on the object surface in the dew condensation state. The central processing unit determines whether the dehumidification system continues to run in the current dew removal mode and the running mode according to the changes in the average spacing and average particle size of the dew drops. If the average spacing of the dew drops does not expand significantly and the average particle size does not decrease significantly, it will continue to run in the current dew removal mode. If the average spacing of the dew drops expands significantly by more than 30% and the average particle size decreases significantly by more than 30%, and the dew condensation on the object surface is within the specified range, it will switch to the energy-saving mode to run.

[0125] Example 13:

[0126] A method for dew condensation determination and Dettol prevention and control regulation based on temperature and humidity monitoring and visual recognition is as follows:

[0127] Use a temperature sensor to monitor the indoor t suf (temperature of the device surface), and use a dew point meter to monitor the indoor t dp (indoor dew point temperature). The central processing unit determines whether it is necessary to run the visual recognition mode to accurately divide the dew condensation state according to the relative magnitudes of t dp and t suf . When t dp is higher than t suf , dew condensation begins on the object surface. When t dp is higher than t suf within 0°C to 2°C, at this time the central processing unit determines that there is a low Dettol risk; when t dp is higher than t suf between 2°C and 5°C, at this time the central processing unit determines that there is a medium Dettol risk; when t dp is higher than t suf above 5°C, at this time the central processing unit determines that there is a high Dettol risk. If within 5 minutes, t dp is higher than t suf within 1°C to 2°C, then the central processing unit also determines that there is a medium Dettol risk; if within 5 minutes, t dp is higher than t suf by 3°C, then the central processing unit determines that there is a high Dettol risk.

[0128] After the central processing unit determines that it is in the medium dew condensation risk state, it controls the visual recognition mode to run. The camera starts, and the camera monitors the surface of the object to obtain the surface image of the unit. The central processing unit performs operations such as image binarization, feature extraction, and image sequence processing on the image, and finally obtains data such as whether there is dew condensation on the surface of the object, the average spacing of dew drops, and the average particle size. The central processing unit makes a further determination based on the obtained image data, and correspondingly controls whether the dehumidification system runs and the operation mode.

[0129] When the central processing unit determines that there is no dew condensation on the surface of the object based on the obtained image data and it is in the no dew drop risk state, the dehumidification system does not run. dp Lower than t suf When, the visual recognition mode stops running; when the central processing unit determines that it is in the low dew drop risk state based on the obtained image data, the central processing unit controls the visual recognition mode to continue running until t dp Higher than t suf Within 0℃ - 2℃; when the central processing unit determines that it is in the medium dew drop risk state based on the obtained image data, it further analyzes and judges the average spacing of dew drops and the average particle size on the surface of the object. When both the average spacing of dew drops and the average particle size are less than 1 mm, the central processing unit controls the dehumidification system to run in the energy-saving mode to avoid the further development of dew drops on the surface of the object; when the average spacing of dew drops is less than 1 mm, or the average particle size is greater than 1 mm, the central processing unit determines that it is in the high dew drop risk state at this time.

[0130] After the central processing unit determines that it is in the high dew drop risk state, if the visual recognition mode has been started and is running, it maintains the running state. If the visual recognition mode has not been running, it controls the visual recognition mode to run, and finally obtains data such as whether there is dew condensation on the surface of the object, the average spacing of dew drops, and the average particle size. At the same time, the dehumidification system runs at full power to remove the dew drops in the dew condensation state on the surface of the object, and determines whether the dehumidification system continues to run in the current dew removal mode and the operation mode according to the changes in the average spacing of dew drops and the average particle size. If the average spacing of dew drops does not increase significantly and the average particle size does not decrease significantly, it continues to run in the current dew removal mode; if the average spacing of dew drops increases significantly by more than 30% and the average particle size decreases significantly by more than 30%, and the dew condensation on the surface of the object is within the specified range, it switches to the energy-saving mode to run.

[0131] To streamline the equipment installation, the temperature sensor can adopt a non-contact temperature sensor and be integrated into the camera.

[0132] To sum up, the present invention is based on the following parameters: t suf (temperature of the equipment surface), t dp(Indoor dew point temperature), average dew drop spacing, and average dew drop size respectively operate in the visual recognition mode, the energy-saving mode of the dehumidification system, and the dew removal mode of the dehumidification system. It solves the problems of poor dew condensation determination effect, inaccurate dew condensation state determination, and low energy efficiency of the dehumidification system operation, and meets the dehumidification requirements of this type that allow slight dew condensation on the object surface but do not allow the appearance of dripping dew.

Claims

1. A method for judging condensation and preventing and controlling dripping dew based on temperature and humidity monitoring and visual recognition, characterized in that, It includes the following steps: 1) Monitor the surface temperature t of indoor objects using a temperature sensor suf , and monitor the dew point temperature t of the indoor environment using a dew point meter dp . 2) The central processing unit determines the current dew condensation risk level based on the difference between the surface temperature t of indoor objects suf and the indoor dew point temperature t dp . If it is a medium dew condensation risk level, go to step 3); if it is a high dew condensation risk level, go to step 6); if it is a low dew condensation risk level, return to step 1). 3) The central processing unit controls the operation of the visual recognition mode and starts the camera; the camera captures the surface image of the object and transmits it to the central processing unit, and then enters step 4); 4) The central processing unit sequentially performs binarization processing and feature extraction on the object surface image sequence within τ time to obtain image information, and then enters step 5); the image information includes the average spacing of Dettol drops and the average particle size; 5) The central processing unit determines whether the dehumidification system operates and its operation mode based on the average spacing of dew drops and the average particle size within τ time; The operation modes of the dehumidification system include the dew removal mode and the energy-saving mode; 6) The central processing unit controls the dehumidification system to operate in the dew removal mode; During the operation of the dehumidification system, adjust the operation mode and operation time of the dehumidification system according to the average spacing of dew drops and the average particle size.

2. The dew condensation determination and dripping prevention and control method based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, The temperature sensor is a thermocouple or an infrared thermometer.

3. A method for judging condensation and preventing and controlling dripping based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, The temperature sensor adopts a non-contact temperature sensor and is integrated into the camera.

4. A method for judging condensation and preventing and controlling dripping based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, In step 2), the Dettol risk level means that the temperature difference Δt continuously remains within the range (1°C, 2°C] within time T, or the current temperature difference Δt ∈ (2°C, 5°C]; the temperature difference Δt = t dp -t suf ; t dp 、t suf are the indoor dew point temperature and the object surface temperature respectively; The high dew drop risk level means that the temperature difference Δt continuously is greater than or equal to 3°C within T time, or the current temperature difference Δt≥5°C; The low dew drop risk level means that the temperature difference Δt continuously is less than or equal to 1°C within T time, or the current temperature difference Δt≤2°C.

5. A method for judging condensation and preventing and controlling dripping dew based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, In step 5), the steps for the central processing unit to determine whether the dehumidification system operates and its operation mode according to the surface condensation state of the object, the average spacing of dew drops and the average particle size include: 5.1) Determine whether the surface condensation state of the object is non-condensed. If so, the dehumidification system does not operate; if not, enter step 5.2); 5.2) Judge the indoor dew drop risk state according to the surface condensation state of the object, the average spacing of dew drops and the average particle size. If it is in the low dew drop risk state, enter step 5.3); if it is in the medium dew drop risk state, enter step 5.4); if it is in the high dew drop risk state, enter step 5.5); 5.3) The dehumidification system does not operate and returns to step 5.2); 5.4) The dehumidification system operates in the energy-saving mode. 5.5) The dehumidification system operates in the dew removal mode.

6. A method for judging condensation and preventing and controlling dripping based on temperature and humidity monitoring and visual recognition according to claim 5, characterized in that, During the operation of the dehumidification system, the visual recognition mode continuously operates; The condensation state on the object surface is non-condensing, and the indoor dew point temperature t dp is higher than the object surface temperature t suf When this occurs, the visual recognition mode runs continuously; The dew condensation state on the object surface is not dew condensation, and the indoor dew point temperature t dp is less than or equal to the object surface temperature t suf When this is the case, the visual recognition mode does not run.

7. A method for judging condensation and preventing and controlling dripping based on temperature and humidity monitoring and visual recognition according to claim 5, characterized in that, The medium dew drop risk state means that the average spacing of dew drops is greater than 1 mm and the average particle size is less than 1 mm. The low dew drop risk state means that there is no condensation on the object surface; The high dew drop risk state means that the average spacing of dew drops is less than 1 mm or the average particle size is greater than 1 mm.

8. A method for judging condensation and preventing and controlling dripping based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, The dew removal mode refers to the full-power operation mode; The energy-saving mode means that the dehumidification system operates intermittently or continuously at low power.

9. A method for dew condensation determination and dew dripping prevention and control regulation based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, In step 6), if the average spacing of dew drops expands by more than 30% or the average particle size decreases by more than 30%, and the average spacing of dew drops is greater than 1 mm and the average particle size is less than 1 mm, then switch to the energy-saving mode for operation; If there is no condensation on the object surface, control the dehumidification system to stop operating.

10. A method for judging condensation and preventing and controlling dripping based on temperature and humidity monitoring and visual recognition according to claim 1, characterized in that, In step 4), the methods of binarization processing include the global threshold method and the adaptive threshold method; The methods of feature extraction include edge detection and corner detection.

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