Intelligent monitoring method and system based on air energy heat pump

Abstract

The invention relates to an intelligent monitoring method and system based on an air energy heat pump, and relates to the technical field of equipment monitoring. Determining a pixel chroma value in the surface monitoring image according to each pixel point; defining the pixel points of which the pixel chromaticity values are within the chromaticity range of the frost layer as frosting pixel points, and determining the frosting number according to the frosting pixel points; calculating according to the frosting quantity and the overall surface quantity to determine a frosting ratio; when the frosting proportion is larger than the demand processing proportion, the air energy heat pump is controlled to start a defrosting mode, the defrosting operation duration is controlled to conduct countdown, and a surface processing image is obtained when the defrosting duration returns to zero; and when the frosting pixel points exist in the surface treatment image, the air energy heat pump is controlled to maintain the defrosting mode, and the surface treatment image is obtained again after the defrosting operation duration for judgment till the frosting pixel points do not exist in the surface treatment image. The defrosting device has the effect of improving the defrosting effect of the air energy heat pump.

Description

Technical Field

[0001] The present application relates to the field of equipment monitoring technology, and in particular to an intelligent monitoring method and system based on air-to-energy heat pumps. Background Art

[0002] An air-source heat pump is a highly efficient, energy-saving device that operates based on the reverse Carnot cycle. Using electricity to drive a compressor, it absorbs heat from the air and transfers it to a medium requiring heating (such as water or air), achieving functions such as heating, cooling, or hot water production. During operation, water vapor in low-temperature, high-humidity environments can form frost on the evaporator. This increases thermal resistance and reduces heat exchange efficiency, necessitating monitoring of the evaporator surface for frost.

[0003] Currently, the method for monitoring whether frost has formed on the evaporator surface is generally implemented using temperature sensors. That is, temperature sensors are installed at key locations on the evaporator surface. When the temperature drops below 0°C for a period of time and meets certain humidity conditions, frost is determined to have formed. At this time, the reverse cycle defrost mode is activated. The four-way reversing valve changes the flow direction of the refrigerant, turning the component that originally served as the evaporator into a condenser. The high temperature heat released by the condenser melts the frost layer on the evaporator surface.

[0004] In the above-mentioned related technologies, when the condenser releases high-temperature heat to melt the frost layer on the surface of the evaporator, the heat directly acts on the surface of the evaporator. At this time, the temperature sensor has a poor detection effect on the temperature of the evaporator surface itself, that is, the defrosting situation cannot be judged by the temperature sensor. Therefore, only a longer fixed time can be set to control the defrost mode. At this time, it is easy for the defrost mode to not end and the frost layer has been completely processed, resulting in a defrost mode with an invalid operation period, resulting in poor defrosting effect of the air-to-heat pump, and there is still room for improvement. Summary of the Invention

[0005] In order to improve the defrosting effect of an air-source heat pump, the present application provides an intelligent monitoring method and system based on an air-source heat pump.

[0006] In the first aspect, the present application provides an intelligent monitoring method based on an air-source heat pump, which adopts the following technical solutions: An intelligent monitoring method based on an air energy heat pump, comprising: Acquiring a surface monitoring image of the evaporator surface; Determining pixel chromaticity values ​​based on each pixel in the surface monitoring image; Pixels whose pixel chromaticity values ​​are within a preset frost layer chromaticity range are defined as frosted pixels, and the frosted pixels are counted to determine the amount of frost; Calculate the frost percentage based on the amount of frost and the overall number of pre-set surfaces; When the frosting ratio is greater than the preset demand processing ratio, the air energy heat pump is controlled to start the defrost mode, and the preset defrost operation time is controlled to count down, and the surface treatment image is obtained when the defrost time returns to zero; Determine whether there are frosted pixels in the surface processing image; If there are no frosted pixels in the surface treatment image, the air energy heat pump is controlled to exit the defrost mode and operate normally; If there are frosted pixels in the surface treatment image, the air energy heat pump is controlled to maintain the defrost mode, and the surface treatment image is obtained again for judgment after the defrost operation time, until there are no frosted pixels in the surface treatment image.

[0007] Optionally, when the frosting ratio is greater than a preset demand processing ratio, the intelligent monitoring method based on the air energy heat pump further includes: Obtain external ambient temperature and external ambient humidity; Determine whether the external ambient temperature is lower than the preset frosting requirement temperature and the external ambient humidity is higher than the preset frosting requirement humidity; If the external ambient temperature is lower than the frosting requirement temperature and the external ambient humidity is higher than the frosting requirement humidity, the air energy heat pump is controlled to start the defrosting mode; If the external ambient temperature is not less than the frosting requirement temperature or the external ambient humidity is not greater than the frosting requirement humidity, a surface abnormality signal is output.

[0008] Optionally, after the surface abnormality signal is output, the intelligent monitoring method based on the air energy heat pump further includes: Construct a historical interval on a preset time axis with the current time point as the end point and a width of a preset historical duration, and determine the detection time point in the historical interval according to the preset fixed interval duration; The current frosted pixel is defined as an abnormal pixel, and the pixel chromaticity value of the abnormal pixel at the detection time point is defined as the detection chromaticity value; The detection time point at which the detected chromaticity value is within the preset original chromaticity range is defined as the original time point, the original time point closest to the current time point is defined as the starting time point, and a determination interval is constructed based on the starting time point and the current time point; performing a difference calculation based on the detected chromaticity values ​​determined at adjacent detection time points in the determination interval to determine the changed chromaticity value; Determine whether all the changing chromaticity values ​​are within the preset gradient chromaticity range; If all the changing chromaticity values ​​are within the gradient chromaticity range, a precipitation abnormality signal is output; If all the changed chromaticity values ​​are not within the gradual chromaticity range, a sudden change abnormality signal is output.

[0009] Optionally, the method further includes a step of determining the duration of the defrosting operation, which includes: According to the frosted pixels, adjacent frosted pixels are grouped into the same preset initially empty pixel grouping set; Summarize the frosted pixels in the set according to the single pixel to determine the frosted area, and determine the pixel depth value according to the frosted pixels in the frosted area; In the frosted area, the number of pixels adjacent to the frosted pixels that are not frosted pixels is counted to determine the amount of indirect heating; Calculate the required time of a single point based on the indirect heating quantity, the preset direct heating quantity, the preset indirect digestion depth, the preset direct digestion depth and the pixel depth value; The minimum single-point demand duration is defined as the short-term demand duration, and the short-term depth value of each frosted pixel is determined based on the short-term demand duration, and the frosted area is updated based on the short-term depth value and the pixel depth value; After the frosted area is updated, determine whether there are frosted pixels; If there are frosted pixels after the frosted area is updated, the short-term required duration is determined again to update the frosted area; If there are no frosted pixels after the frosted area is updated, the regional demand duration is determined by summing up all the short-term demand durations; The regional demand duration with the largest value is determined according to a preset sorting rule, and the regional demand duration is defined as the defrost operation duration.

[0010] Optionally, if frosted pixels exist in the surface treatment image, the intelligent monitoring method based on the air-source heat pump further includes: The currently re-determined defrost operation duration is defined as the re-operation duration, and the previously determined defrost operation duration is defined as the previous operation duration; Calculate the re-operation time ratio based on the re-operation time and the previous operation time; Determine whether the re-duration ratio is within the preset reasonable ratio range; If the duration ratio is within a reasonable range, a normal operation signal is output; If the duration ratio is not within the reasonable ratio range, an abnormal operation signal is output.

[0011] Optionally, after the abnormal operation signal is output, the intelligent monitoring method based on the air energy heat pump further includes: Calculate the difference between the previous operation time and the next operation time to determine the completion time of the operation; The defrost completion degree is determined by calculating the duration of the completed operation and the duration of the previous operation; The re-operation time is corrected and updated by calculation based on the degree of defrosting completion and the re-operation time.

[0012] Optionally, the step of obtaining the surface treatment image again for judgment after the defrosting operation time includes: The currently acquired surface-processed image is defined as a re-processed image, and the previously acquired surface-processed image is defined as a previously processed image; Determine whether the reprocessed image is consistent with the previously processed image; If the reprocessed image is inconsistent with the previously processed image, determine whether there are frosted pixels in the reprocessed image; If the reprocessed image is consistent with the previously processed image, a surface abnormality signal is output and the current frosted pixel is defined as an abnormal pixel.

[0013] In a second aspect, the present application provides an intelligent monitoring system based on an air-energy heat pump, which adopts the following technical solutions: An intelligent monitoring system based on air energy heat pump, comprising: an acquisition module, used for acquiring a surface monitoring image of the evaporator surface; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; The judgment module is connected with the acquisition module and the processing module and is used for judging the information; The processing module determines the pixel chromaticity value according to each pixel in the surface monitoring image; The processing module defines pixels whose pixel chromaticity values ​​are within a preset frost layer chromaticity range as frosted pixels, and counts the frosted pixels to determine the amount of frost; The processing module calculates the frost ratio based on the amount of frost and the preset total surface amount; When the judgment module determines that the frosting ratio is greater than the preset demand processing ratio, the processing module controls the air energy heat pump to start the defrost mode, controls the preset defrost operation time to count down, and obtains the surface treatment image when the defrost time returns to zero; The judgment module judges whether there are frosted pixels in the surface processing image; If the judgment module determines that there are no frosted pixels in the surface processing image, the processing module controls the air energy heat pump to exit the defrost mode and operate normally; If the judgment module determines that there are frosted pixels in the surface treatment image, the processing module controls the air-source heat pump to maintain the defrost mode, and obtains the surface treatment image again for judgment after the defrost operation time until there are no frosted pixels in the surface treatment image.

[0014] In summary, this application includes at least one of the following beneficial technical effects: During the use of the air-energy heat pump, it can be determined by visual recognition whether the evaporator surface is frosted, and the system can enter the defrost mode when frosting occurs. The defrost condition can be effectively determined by visual recognition to reduce the occurrence of the system starting the defrost mode when the frost layer has been processed, thereby improving the defrost effect of the air-energy heat pump. When analyzing the frosting condition, it is possible to determine whether there are foreign objects on the evaporator surface, etc., to improve the accuracy of the frosting condition determination; An appropriate defrost operation time can be set to analyze the defrost condition on the evaporator surface so that an alarm can be issued in time when the defrost condition is abnormal. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flow chart of the intelligent monitoring method based on air energy heat pump.

[0016] Figure 2 It is a module flow chart of the intelligent monitoring method based on air energy heat pump. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0018] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0019] The embodiment of the present application discloses an intelligent monitoring method based on an air energy heat pump, referring to Figure 1 The method flow of the intelligent monitoring method based on air energy heat pump includes the following steps: Step S100: Acquire a surface monitoring image of the evaporator surface.

[0020] The surface monitoring image is an image of the evaporator surface acquired by an image acquisition device that is installed on the air-source heat pump and faces the evaporator surface.

[0021] Step S101 : determining a pixel chromaticity value according to each pixel in a surface monitoring image.

[0022] The pixel chromaticity value is the chromaticity value of each pixel, which can be represented by three primary colors.

[0023] Step S102: defining pixels whose pixel chromaticity values ​​are within a preset frost layer chromaticity range as frosted pixels, and counting the frosted pixels to determine the amount of frost.

[0024] The frost layer chromaticity range is the range of chromaticity values ​​that the frost layer needs to be in after frosting on the evaporator surface. The specific value is set by the staff according to the actual situation. When the pixel chromaticity value is within the frost layer chromaticity range, it means that the corresponding pixel point is the pixel point corresponding to the frost layer. Therefore, it is defined as a frosted pixel point to achieve the distinction between different pixel points, so that the frosting condition of the evaporator surface can be determined; the number of frost points is the determined number of frosted pixel points, which can be determined by counting the frosted pixel points one by one.

[0025] Step S103: Calculate the frosting ratio based on the frosting amount and the preset total surface amount.

[0026] The total surface quantity is the number of pixels in the entire image, and the frosting ratio is the ratio of frosted pixels to all pixels, which is determined by dividing the frosting quantity by the total surface quantity.

[0027] Step S104: When the frosting ratio is greater than the preset demand processing ratio, the air energy heat pump is controlled to start the defrost mode, and the preset defrost operation time is controlled to count down, and a surface treatment image is obtained when the defrost time returns to zero.

[0028] The demand processing ratio is the minimum frost ratio set by the staff to determine that the frost situation will affect the heating efficiency of the air-source heat pump. The frost layer on the evaporator surface can be processed by controlling the air-source heat pump to start the defrost mode; the defrost operation time can be a fixed time set by the staff, or it can be determined according to steps S400-S406; the surface processing image is the image of the evaporator surface obtained after the defrost operation time. By setting the defrost operation time, there is no need to obtain the image of the evaporator surface in real time, so as to reduce the amount of data processing and analysis.

[0029] Step S105: determining whether there are frosted pixels in the surface processing image.

[0030] The purpose of the judgment is to know whether the frost situation has been completely dealt with.

[0031] Step S1051: If there are no frosted pixels in the surface treatment image, the air energy heat pump is controlled to exit the defrost mode and operate normally.

[0032] When there are no frosted pixels in the surface treatment image, it means that the frost layer has been completely processed. At this time, the defrost mode can be exited to control the air energy heat pump to operate normally.

[0033] Step S1052: If there are frosted pixels in the surface treatment image, the air energy heat pump is controlled to maintain the defrost mode, and the surface treatment image is obtained again after the defrost operation time for judgment until there are no frosted pixels in the surface treatment image.

[0034] When there are frosted pixels in the surface processing image, it means that some frost layers have not been processed yet. At this time, the air heat pump can be controlled to continue defrosting. At the same time, the defrosting operation duration can be determined to facilitate the subsequent acquisition of the surface processing image until the frost layer can be completely processed.

[0035] When the frosting ratio is greater than the preset demand processing ratio, the intelligent monitoring method based on the air energy heat pump also includes: Step S200: Acquire the external environment temperature and the external environment humidity.

[0036] The external ambient temperature is the temperature value collected by the temperature sensor installed on the surface of the evaporator, and the external ambient humidity is the humidity value collected by the humidity sensor installed near the surface of the evaporator.

[0037] Step S201: Determine whether the external environment temperature is lower than the preset frosting requirement temperature and the external environment humidity is higher than the preset frosting requirement humidity.

[0038] The frost requirement temperature is the maximum external ambient temperature set by the staff to be determined to be frosting. Generally, this temperature is 0°C. The frost requirement humidity is the minimum external ambient humidity set by the staff to be determined to be frosting. The purpose of the judgment is to know whether frost will occur in the current external environment, that is, to determine whether the current frosted pixel is caused by a frost layer.

[0039] Step S2011: If the external environment temperature is lower than the frosting requirement temperature and the external environment humidity is higher than the frosting requirement humidity, the air energy heat pump is controlled to start the defrosting mode.

[0040] When the external environment temperature is lower than the frosting requirement temperature and the external environment humidity is higher than the frosting requirement humidity, it indicates that frosting will occur in the current environment, that is, there is a frost layer on the frosted pixels at this time, and the defrost mode operation can be performed normally.

[0041] Step S2012: If the external environment temperature is not less than the frosting requirement temperature or the external environment humidity is not greater than the frosting requirement humidity, a surface abnormality signal is output.

[0042] When the external ambient temperature is not less than the frosting requirement temperature or the external ambient humidity is not greater than the frosting requirement humidity, it means that the frosting requirements are not met at present, that is, there is actually no frost layer at the currently determined frosting pixel point, that is, there are other white spots on the evaporator surface that are similar to the frost layer. At this time, a surface abnormality signal is output to determine the situation, thereby reducing the occurrence of the air energy heat pump entering an invalid defrost mode.

[0043] After the surface abnormality signal is output, the intelligent monitoring method based on the air energy heat pump also includes: Step S300: constructing a history interval with the current time point as the end point and a width of a preset history duration on a preset time axis, and determining a detection time point in the history interval according to a preset fixed interval duration.

[0044] The time axis is a coordinate axis formed by the combination of various time points. The coordinate axis points from the time points that have passed to the time points that have not yet arrived, where the time points that have passed are on the left side of the time axis, and the left side is defined as the front end of the time axis; the historical duration is a fixed duration set by the staff. By constructing a historical interval, it is convenient to obtain and analyze data within the historical duration; the fixed interval duration is a fixed duration set by the staff. The fixed interval duration should be much smaller than the historical duration and be an integer multiple of the historical duration; the detection time point is the time point on the historical interval, and adjacent detection time points are separated by a fixed interval duration.

[0045] Step S301: defining a current frosted pixel as an abnormal pixel, and defining the pixel chromaticity value of the abnormal pixel at a detection time point as a detection chromaticity value.

[0046] Define abnormal pixels and detect chromaticity values ​​to distinguish different data for subsequent analysis.

[0047] Step S302: define the detection time point when the detected chromaticity value is within the preset original chromaticity range as the original time point, define the original time point closest to the current time point as the starting time point, and construct a determination interval based on the starting time point and the current time point.

[0048] The original chromaticity range is the range of chromaticity values ​​that must exist when no object exists on the evaporator surface. When the detected chromaticity value is within the original chromaticity range, it indicates that there is no foreign matter on the evaporator surface at the corresponding detection time point. This is defined as the original time point for subsequent analysis. The starting time point is defined and a judgment interval is constructed to delineate the time interval for the formation of foreign matter on the current abnormal pixel point, facilitating subsequent analysis.

[0049] Step S303 : performing difference calculation based on the detected chromaticity values ​​determined at adjacent detection time points in the determination interval to determine the changed chromaticity value.

[0050] The change chromaticity value is the difference between the detection chromaticity values ​​corresponding to adjacent detection time points, and the difference is an absolute value.

[0051] Step S304: determining whether all the changed chromaticity values ​​are within a preset gradient chromaticity range.

[0052] The gradient chromaticity range is the range of chromaticity values ​​set by the staff to determine whether there is a small change in chromaticity. The purpose of the judgment is to know whether there is a large chromaticity change at the position corresponding to the abnormal pixel point, that is, to determine whether the foreign matter corresponding to the abnormal pixel point is scale or external coating.

[0053] Step S3041: If all the changed chromaticity values ​​are within the gradient chromaticity range, a sedimentation abnormality signal is output.

[0054] When all the changing chromaticity values ​​are within the gradient chromaticity range, it indicates that the current foreign matter is gradually formed, and it can be determined that it is caused by scale precipitation. Thus, an abnormal precipitation signal is output to identify the situation, so that subsequent staff can take corresponding measures.

[0055] Step S3042: If all the changed chromaticity values ​​are not within the gradual chromaticity range, output a sudden change abnormality signal.

[0056] When all the changing chromaticity values ​​are not within the gradient chromaticity range, it means that some foreign matter is not formed gradually, and it can be determined that the current foreign matter is caused by the peeling of the external coating. At this time, a sudden abnormal signal is output to identify the situation, which is convenient for subsequent staff to handle accordingly.

[0057] The method further includes a step of determining the duration of the defrosting operation, which includes: Step S400: According to the frosted pixels, adjacent frosted pixels are grouped into the same preset pixel grouping set which is initially empty.

[0058] The pixel summary set is an empty set for storing frosted pixel points. When frosted pixel points are adjacent, it can be determined that the corresponding frost layer is on the same frost layer. At this time, they are summarized in the same pixel summary set to facilitate the determination of the specific situation of the frost layer on the evaporator surface; adjacent pixel points refer to pixel points with at least one edge overlapping, and the method of summarizing frosted pixel points is as follows: for example, there are at least three frosted pixel points A, B, and C, wherein frosted pixel point A is adjacent to frosted pixel point B, and frosted pixel point B is adjacent to frosted pixel point C, but frosted pixel point A is not adjacent to frosted pixel point C. Since frosted pixel point B can be summarized in the same pixel summary set with frosted pixel point A and frosted pixel point C at the same time, the three frosted pixels A, B, and C can be summarized in the same pixel summary set.

[0059] Step S401: determining a frosted area based on frosted pixel points in a set of single pixel summaries, and determining a pixel depth value based on the frosted pixel points in the frosted area.

[0060] The frosted area is the area of ​​frost pixels corresponding to a single pixel summary set; the pixel depth value is the height value of the obtained frosted pixel compared to the evaporator surface. The distance value between the position corresponding to each pixel and the shooting device can be known through the image, and then the fixed distance value between the shooting device and the evaporator surface is determined by performing a difference calculation with the distance value.

[0061] Step S402: Counting non-frosted pixels adjacent to frosted pixels in the frosted area to determine the amount of indirect heating.

[0062] On the evaporator surface, each frosted pixel will be directly heated by the evaporator surface. When there is no frost layer on the side of the frost layer, the heat corresponding to the adjacent pixels will be transferred to the frost layer to form indirect heating. The number of indirect heating points is the number of position points near the frosted pixel that can indirectly heat the frosted pixel.

[0063] Step S403: Calculate and determine the single-point required duration based on the indirect heating quantity, the preset direct heating quantity, the preset indirect digestion depth, the preset direct digestion depth, and the pixel depth value.

[0064] The number of direct heating is one, the indirect digestion depth is the defrost height value of a single indirect heating position that can defrost the frost layer per unit time, and the direct digestion depth is the defrost height value of a single direct heating position that can defrost the frost layer per unit time. The specific values ​​of both are determined by the staff through multiple tests in advance; the single point required time is the time required to completely process the frost layer of the frosted pixel point, and the calculation formula is ,in The duration of a single point demand. is the pixel depth value, is the indirect heating quantity, is the indirect digestion depth, For direct heating quantity, For direct digestion depth.

[0065] Step S404: defining the minimum single-point demand duration as the short-term demand duration, determining the short-term depth value of each frosted pixel according to the short-term demand duration, and updating the frosted area according to the short-term depth value and the pixel depth value.

[0066] The short-term demand duration is defined to facilitate the determination of the pixel points corresponding to the first frost layer to be processed. At this time, the amount of interval heating between frost layers will change, so further analysis is required. The short-term depth value is the theoretical height of the frost layer that will be removed after each frosted pixel point is defrosted within the short-term demand duration. The depth value of each pixel point in the frosted area can be updated by subtracting the corresponding short-term depth value from the original pixel depth value.

[0067] Step S405: determining whether there are frosted pixels after the frosted area is updated.

[0068] The purpose of the judgment is to know whether the frost layer has been completely processed in theory.

[0069] Step S4051: If there are frosted pixels after the frosted area is updated, the short-term required time is determined again to update the frosted area.

[0070] If there are frosted pixels after the frosted area is updated, it means that there is still a frost layer that has not been processed. At this time, you can continue to determine the short-term demand duration to continue the analysis.

[0071] Step S4052: If there are no frosted pixels in the frosted area after the update, a sum calculation is performed based on all the short-term demand durations to determine the area demand duration.

[0072] When there are no frosted pixels after the frosted area is updated, it means that the frost layer in the frosted area has been completely processed. At this time, the total time required to process the frosted area can be obtained by summing up all the short-term demand durations, that is, the regional demand duration.

[0073] Step S406: determining the regional demand duration with the largest value according to a preset sorting rule, and defining the regional demand duration as the defrosting operation duration.

[0074] The sorting rule is a method set by the staff to sort the size of the values, such as the bubble method. The sorting rule can be used to determine the required time of the area with the largest value, that is, the time required to process all frosted areas. In this case, it can be defined as the defrosting operation time.

[0075] If there are frosted pixels in the surface treatment image, the intelligent monitoring method based on the air energy heat pump also includes: Step S500: defining the currently re-determined defrosting operation duration as the re-operation duration, and defining the previously determined defrosting operation duration as the previous operation duration.

[0076] Define the re-operation duration and the previous operation duration to distinguish different defrost operation durations for subsequent analysis.

[0077] Step S501: Calculate the re-operation duration ratio based on the re-operation duration and the previous operation duration.

[0078] The re-operation duration ratio is the ratio of the re-operation duration to the previous operation duration.

[0079] Step S502: Determine whether the re-duration ratio is within a preset reasonable ratio range.

[0080] The reasonable proportion range is the range of the re-time proportion allowed to occur when the staff determines that the air energy heat pump is better for defrosting operation. The purpose of the judgment is to know whether there is any abnormality in the current defrost mode of the air energy heat pump.

[0081] Step S5021: If the duration ratio is again within a reasonable ratio range, a normal operation signal is output.

[0082] When the duration ratio is again within a reasonable range, it indicates that the air energy heat pump is performing the defrosting operation normally, and a normal operation signal can be output to mark the situation.

[0083] Step S5022: If the duration ratio is not within a reasonable ratio range, an abnormal operation signal is output.

[0084] When the proportion of the second time is not within a reasonable proportion range, it means that the current defrosting effect of the air-source heat pump is poor, that is, there is an abnormal defrosting mode. At this time, an abnormal operation signal is output to identify the situation so that the staff can be informed of the situation in time for processing.

[0085] After the abnormal operation signal is output, the intelligent monitoring method based on the air energy heat pump also includes: Step S600: Calculate the difference between the previous operation duration and the next operation duration to determine the completion duration of the operation.

[0086] When an abnormal operation signal is output, it means that the defrosting effect has changed, that is, the re-operation time determined at this time is inaccurate and requires further analysis; the completion time is the time value obtained by subtracting the re-operation time from the previous operation time.

[0087] Step S601: Calculate the defrosting completion degree based on the duration of the completed operation and the duration of the previous operation.

[0088] The defrost completion degree reflects the degree of effectiveness of the current defrost completion, which is determined by dividing the completed operation time by the previous operation time, that is, it reflects the ratio of the current defrost effect to the original defrost effect.

[0089] Step S602: Calculate and update the re-operation time according to the defrosting completion degree and the re-operation time.

[0090] The re-operation time can be updated by dividing the re-operation time by the defrosting completion degree, so as to better analyze the subsequent defrosting situation.

[0091] The steps of obtaining the surface treatment image again for judgment after the defrosting operation time include: Step S700: defining the currently acquired surface-processed image as a re-processed image, and defining the previously acquired surface-processed image as a previously processed image.

[0092] Define the re-processed image and the previous processed image to distinguish different surface processed images for subsequent analysis.

[0093] Step S701: Determine whether the reprocessed image is consistent with the previously processed image.

[0094] The purpose of the judgment is to know whether the frost layer can be properly processed, that is, to determine whether there are foreign objects that cannot be processed.

[0095] Step S7011: If the reprocessed image is inconsistent with the previously processed image, determine whether there are frosted pixels in the reprocessed image.

[0096] If the reprocessed image is inconsistent with the previously processed image, it means that the defrosting operation is still in progress and the analysis can be carried out normally.

[0097] Step S7012: If the reprocessed image is consistent with the previously processed image, a surface abnormality signal is output, and the current frosted pixel is defined as an abnormal pixel.

[0098] When the reprocessed image is consistent with the previously processed image, it means that there are white spots that cannot be processed by the defrost mode, that is, there are foreign objects on the surface of the evaporator. Therefore, a surface abnormality signal is output and abnormal pixel points are defined to identify the situation.

[0099] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides an intelligent monitoring system based on an air-energy heat pump, comprising: an acquisition module, used for acquiring a surface monitoring image of the evaporator surface; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; The judgment module is connected with the acquisition module and the processing module and is used for judging the information; The processing module determines the pixel chromaticity value according to each pixel in the surface monitoring image; The processing module defines pixels whose pixel chromaticity values ​​are within a preset frost layer chromaticity range as frosted pixels, and counts the frosted pixels to determine the amount of frost; The processing module calculates the frost ratio based on the amount of frost and the preset total surface amount; When the judgment module determines that the frosting ratio is greater than the preset demand processing ratio, the processing module controls the air energy heat pump to start the defrost mode, controls the preset defrost operation time to count down, and obtains the surface treatment image when the defrost time returns to zero; The judgment module judges whether there are frosted pixels in the surface processing image; If the judgment module determines that there are no frosted pixels in the surface processing image, the processing module controls the air energy heat pump to exit the defrost mode and operate normally; If the judgment module determines that there are frosted pixels in the surface processing image, the processing module controls the air energy heat pump to maintain the defrost mode, and obtains the surface processing image again after the defrost operation time for judgment until there are no frosted pixels in the surface processing image; A frost condition analysis module is used to analyze and determine whether there is a possibility of frost; Foreign matter analysis module, used to analyze and determine the foreign matter on the evaporator surface; A defrost operation duration determination module is used to determine an appropriate defrost operation duration to analyze the defrost situation; The defrost condition analysis module is used to analyze and determine the specific defrost condition of the air energy heat pump; The re-operation time correction module is used to correct the re-operation time; The surface abnormality analysis module is used to analyze and determine abnormal surfaces that exist during the defrosting process.

[0100] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

Claims

1. An intelligent monitoring method based on air energy heat pump, characterized in that: include: Acquiring a surface monitoring image of the evaporator surface; Determining pixel chromaticity values ​​based on each pixel in the surface monitoring image; Pixels whose pixel chromaticity values ​​are within a preset frost layer chromaticity range are defined as frosted pixels, and the frosted pixels are counted to determine the amount of frost; Calculate the frost percentage based on the amount of frost and the overall number of pre-set surfaces; When the frosting ratio is greater than the preset demand processing ratio, the air energy heat pump is controlled to start the defrost mode, and the preset defrost operation time is controlled to count down, and the surface treatment image is obtained when the defrost time returns to zero; Determine whether there are frosted pixels in the surface processing image; If there are no frosted pixels in the surface treatment image, the air energy heat pump is controlled to exit the defrost mode and operate normally; If there are frosted pixels in the surface treatment image, the air energy heat pump is controlled to maintain the defrost mode, and the surface treatment image is obtained again for judgment after the defrost operation time, until there are no frosted pixels in the surface treatment image.

2. The intelligent monitoring method based on air energy heat pump according to claim 1 is characterized in that: When the frosting ratio is greater than the preset demand processing ratio, the intelligent monitoring method based on the air energy heat pump also includes: Obtain external ambient temperature and external ambient humidity; Determine whether the external ambient temperature is lower than the preset frosting requirement temperature and the external ambient humidity is higher than the preset frosting requirement humidity; If the external ambient temperature is lower than the frosting requirement temperature and the external ambient humidity is higher than the frosting requirement humidity, the air energy heat pump is controlled to start the defrosting mode; If the external ambient temperature is not less than the frosting requirement temperature or the external ambient humidity is not greater than the frosting requirement humidity, a surface abnormality signal is output.

3. The intelligent monitoring method based on air energy heat pump according to claim 2 is characterized in that: After the surface abnormality signal is output, the intelligent monitoring method based on the air energy heat pump also includes: Construct a historical interval on a preset time axis with the current time point as the end point and a width of a preset historical duration, and determine the detection time point in the historical interval according to the preset fixed interval duration; The current frosted pixel is defined as an abnormal pixel, and the pixel chromaticity value of the abnormal pixel at the detection time point is defined as the detection chromaticity value; The detection time point at which the detected chromaticity value is within the preset original chromaticity range is defined as the original time point, the original time point closest to the current time point is defined as the starting time point, and a determination interval is constructed based on the starting time point and the current time point; performing a difference calculation based on the detected chromaticity values ​​determined at adjacent detection time points in the determination interval to determine the changed chromaticity value; Determine whether all the changing chromaticity values ​​are within the preset gradient chromaticity range; If all the changing chromaticity values ​​are within the gradient chromaticity range, a precipitation abnormality signal is output; If all the changed chromaticity values ​​are not within the gradual chromaticity range, a sudden change abnormality signal is output.

4. The intelligent monitoring method based on air energy heat pump according to claim 1 is characterized in that: The method further includes a step of determining the duration of the defrosting operation, which includes: According to the frosted pixels, adjacent frosted pixels are grouped into the same preset initially empty pixel grouping set; Summarize the frosted pixels in the set according to the single pixel to determine the frosted area, and determine the pixel depth value according to the frosted pixels in the frosted area; In the frosted area, the number of pixels adjacent to the frosted pixels that are not frosted pixels is counted to determine the amount of indirect heating; Calculate the required time of a single point based on the indirect heating quantity, the preset direct heating quantity, the preset indirect digestion depth, the preset direct digestion depth and the pixel depth value; The minimum single-point demand duration is defined as the short-term demand duration, and the short-term depth value of each frosted pixel is determined based on the short-term demand duration, and the frosted area is updated based on the short-term depth value and the pixel depth value; After the frosted area is updated, determine whether there are frosted pixels; If there are frosted pixels after the frosted area is updated, the short-term required duration is determined again to update the frosted area; If there are no frosted pixels after the frosted area is updated, the regional demand duration is determined by summing up all the short-term demand durations; The regional demand duration with the largest value is determined according to a preset sorting rule, and the regional demand duration is defined as the defrost operation duration.

5. The intelligent monitoring method based on air energy heat pump according to claim 4 is characterized in that: If there are frosted pixels in the surface treatment image, the intelligent monitoring method based on the air energy heat pump also includes: The currently re-determined defrost operation duration is defined as the re-operation duration, and the previously determined defrost operation duration is defined as the previous operation duration; Calculate the re-operation time ratio based on the re-operation time and the previous operation time; Determine whether the re-duration ratio is within the preset reasonable ratio range; If the duration ratio is within a reasonable range, a normal operation signal is output; If the duration ratio is not within the reasonable ratio range, an abnormal operation signal is output.

6. The intelligent monitoring method based on air energy heat pump according to claim 5, characterized in that: After the abnormal operation signal is output, the intelligent monitoring method based on the air energy heat pump also includes: Calculate the difference between the previous operation time and the next operation time to determine the completion time of the operation; The defrost completion degree is determined by calculating the duration of the completed operation and the duration of the previous operation; The re-operation time is corrected and updated by calculation based on the degree of defrosting completion and the re-operation time.

7. The intelligent monitoring method based on air energy heat pump according to claim 6 is characterized in that: The steps of obtaining the surface treatment image again for judgment after the defrosting operation time include: The currently acquired surface-processed image is defined as a re-processed image, and the previously acquired surface-processed image is defined as a previously processed image; Determine whether the reprocessed image is consistent with the previously processed image; If the reprocessed image is inconsistent with the previously processed image, determine whether there are frosted pixels in the reprocessed image; If the reprocessed image is consistent with the previously processed image, a surface abnormality signal is output and the current frosted pixel is defined as an abnormal pixel.

8. An intelligent monitoring system based on air energy heat pump, characterized in that: include: an acquisition module, used for acquiring a surface monitoring image of the evaporator surface; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; The judgment module is connected with the acquisition module and the processing module and is used for judging the information; The processing module determines the pixel chromaticity value according to each pixel in the surface monitoring image; The processing module defines pixels whose pixel chromaticity values ​​are within a preset frost layer chromaticity range as frosted pixels, and counts the frosted pixels to determine the amount of frost; The processing module calculates the frost ratio based on the amount of frost and the preset total surface amount; When the judgment module determines that the frosting ratio is greater than the preset demand processing ratio, the processing module controls the air energy heat pump to start the defrost mode, controls the preset defrost operation time to count down, and obtains the surface treatment image when the defrost time returns to zero; The judgment module judges whether there are frosted pixels in the surface processing image; If the judgment module determines that there are no frosted pixels in the surface processing image, the processing module controls the air energy heat pump to exit the defrost mode and operate normally; If the judgment module determines that there are frosted pixels in the surface treatment image, the processing module controls the air-source heat pump to maintain the defrost mode, and obtains the surface treatment image again for judgment after the defrost operation time until there are no frosted pixels in the surface treatment image.

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