Towel heating method with furniture linkage control function

Abstract

The invention relates to the technical field of intelligent control, and discloses a towel heating device and method with a furniture linkage control function, and the device comprises a housing, a heating barrel, a wifi module, a mechanical arm, a moving module and a control module; the heating barrel is used for heating towels; the wifi module is used for being connected with a device to be controlled through the Internet of Things; an infrared spectrum sensor is arranged on the mechanical arm; the control module comprises an acquisition unit for acquiring to-be-patrolled range data and determining single-time patrolling duration; the judgment unit collects a reflectivity curve to judge dry and wet states of the towel; the processing unit determines the operation power of an air heater in the heating barrel according to the number of the wet towels in the heating barrel, the water content condition and historical processing data; the adjusting unit collects humidity data to judge whether the exhaust fan is started or not, and the adjusting unit further collects humidity change data to adjust and control the exhaust fan. According to the invention, the operation power of the air heater is automatically adjusted, linkage control with other home equipment is realized, and the intelligent degree of the robot is improved.

Description

Technical Field

[0001] The invention relates to the field of intelligent control technology, and in particular to a towel heating method with a furniture linkage control function. Background Art

[0002] In modern home and commercial environments, the demand for heated and dried towels is increasing, especially in humid places such as bathrooms and toilets. Traditional towel heating robots often have problems such as low heating efficiency, uneven drying and high energy consumption, and cannot effectively meet user needs. In addition, the lack of intelligent control and automated management of the heating device of traditional towel heating robots often leads to inconvenience in use, especially in environments with high humidity, where towels are prone to not drying quickly.

[0003] In addition, many existing products fail to achieve linkage control with other home appliances, and users need to manually adjust the heating and ventilation settings, which not only wastes time but also may lead to energy waste. Especially in high humidity environments, the lack of automatic humidity monitoring and ventilation adjustment functions prolongs the drying process of towels and may even lead to bacterial growth, affecting the health and user experience.

[0004] Therefore, it is necessary to design a towel heating method with furniture linkage control function to solve the problems existing in the current technology. Summary of the invention

[0005] In view of this, the present invention proposes a towel heating method with furniture linkage control function, aiming to solve the problem that traditional towel heating robots lack intelligent control strategies and cannot be linked with furniture equipment for control, resulting in long towel drying time and poor drying effect.

[0006] In one aspect, the present invention provides a towel heating device with furniture linkage control function, comprising:

[0007] A housing, a heating barrel, a wifi module, a mechanical arm, a mobile module and a control module; the heating barrel is arranged in the housing and is used to heat the towel; the wifi module is used to connect the device to be controlled through the Internet of Things, and the device to be controlled includes an exhaust fan and a humidity sensor, and the humidity sensor is provided in a plurality; an infrared spectrum sensor is provided on the mechanical arm; the control module is respectively connected to the wifi module, the heating barrel, the mobile module and the mechanical arm, and the control module includes a collection unit, a judgment unit, a processing unit and an adjustment unit;

[0008] The collection unit is configured to collect data of the range to be inspected, and determine the duration of a single inspection according to the data of the range to be inspected;

[0009] The judgment unit is configured to collect a reflectivity curve of the infrared spectrum sensor, judge the dry or wet state of the towel according to the reflectivity curve, and control the mechanical arm to put the wet towel into the heating barrel;

[0010] The processing unit is configured to determine the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and historical processing data;

[0011] The adjustment unit is configured to collect humidity data from all the humidity sensors after the processing unit determines the operating power, and determine whether to turn on the exhaust fan based on the humidity data; when it is determined to turn on the exhaust fan, the adjustment unit is also configured to collect humidity change data, and adjust and control the exhaust fan based on the humidity change data.

[0012] Furthermore, when the acquisition unit determines the duration of a single inspection according to the data of the range to be inspected, it includes:

[0013]

[0014] Among them, T represents the duration of a single inspection, A represents the area to be inspected, V represents the moving speed of the mobile module, C represents the single detection duration of the infrared spectrum sensor, S represents the moving speed of the mobile module in the detection state, and k represents the degree coefficient of the number of items in the range to be inspected.

[0015] Furthermore, when the judging unit judges whether the towel is dry or wet according to the reflectivity curve, it includes:

[0016] The judging unit obtains a reflectivity value according to the reflectivity curve, compares the reflectivity value with a reflectivity threshold, and judges whether the towel is dry or wet according to the comparison result;

[0017] When the reflectivity value is greater than the reflectivity threshold, the judging unit determines that the towel is a dry towel;

[0018] When the reflectivity value is less than or equal to the reflectivity threshold, the judgment unit determines that the towel is a wet towel, determines the moisture content of the towel according to the reflectivity value, and transmits the moisture content to the processing unit.

[0019] Furthermore, when the processing unit determines the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and the historical processing data, it includes:

[0020] The processing unit uses the maximum water content among the water contents transmitted by the judging unit as the water content in the heating barrel;

[0021] The processing unit records the number and water content of the wet towels as current task parameters, and records the historical number and water content of the wet towels in the historical processing data as historical task parameters, wherein the historical processing data also includes historical operating powers corresponding to the historical task parameters; the processing unit calculates the similarity between the current task parameters and each historical task parameter;

[0022] When there is data in the historical task parameters whose similarity with the current task parameters is greater than a similarity threshold, the processing unit uses the historical operating power corresponding to the historical task parameters as the operating power of the hot air blower in the heating barrel;

[0023] When the similarity between each of the historical task parameters and the current task parameter is less than or equal to the similarity threshold, the processing unit uses the historical operating power corresponding to the historical task parameter corresponding to the maximum similarity as the initial power of the hot air blower in the heating barrel, and adjusts the initial power according to the historical operating powers corresponding to the remaining historical task parameters, to finally obtain the operating power of the hot air blower in the heating barrel.

[0024] Furthermore, the processing unit adjusts the initial power according to the historical operating powers corresponding to the remaining historical task parameters, and finally obtains the operating power of the hot air blower in the heating barrel, including:

[0025] The processing unit forms the data of the remaining historical task parameters whose water content is greater than the water content of the current task parameters into an increase set;

[0026] The processing unit forms a reduction set of data whose water content in the remaining historical task parameters is less than that in the current task parameters;

[0027] The processing unit adjusts the initial power according to the increase set and the decrease set, and finally obtains the operating power of the hot air blower in the heating barrel.

[0028] Further, when the processing unit adjusts the initial power according to the increase set and the decrease set, it includes:

[0029]

[0030] Among them, G represents the operating power of the hot air blower in the heating barrel, N1 represents the number of historical operating powers in the increase set, G1j is the jth historical operating power in the increase set, G0 represents the initial power, N2 represents the number of historical operating powers in the decrease set, and G2q is the qth historical operating power in the decrease set.

[0031] Furthermore, when the adjustment unit determines whether to turn on the exhaust fan according to the humidity data, it includes:

[0032] The adjustment unit obtains a humidity mean value according to all the humidity data, compares the humidity mean value with a humidity threshold value, and determines whether to turn on the exhaust fan according to the comparison result;

[0033] When the humidity mean value is greater than the humidity threshold, the adjustment unit determines to turn on the exhaust fan; when the humidity mean value is less than or equal to the humidity threshold, the adjustment unit determines not to turn on the exhaust fan.

[0034] Furthermore, when the adjustment unit adjusts and controls the exhaust fan according to the humidity change data, it includes:

[0035] The adjustment unit collects second humidity data after the exhaust fan is turned on, and the adjustment unit establishes a humidity data graph based on the second humidity data according to the distribution positions of the humidity sensors;

[0036] In the humidity data graph, a second humidity data is arbitrarily determined as a center point (x0, y0), and a neighborhood range is determined with the center point as the center of a circle and r as the neighborhood radius;

[0037] Calculate the neighborhood average humidity according to the second humidity data of each coordinate point within the neighborhood range, and when the difference between the second humidity data of the center point and the neighborhood average humidity is greater than a humidity difference threshold, determine that the coordinates of the center point are defective coordinate points;

[0038] A defect coordinate center is obtained according to all the defect coordinate points, and the adjustment unit aligns the air inlet of the exhaust fan with the defect coordinate center.

[0039] Furthermore, the neighborhood average humidity is calculated by the following formula:

[0040]

[0041] Among them, D avg represents the average intensity of the neighborhood, k represents the neighborhood radius, (x0, y0) represents the coordinates of the center point, and D(i, j) represents the second humidity data at point (i, j) on the humidity data graph.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows: an intelligent towel heating robot is constructed through a shell, a heating barrel, a WiFi module, a mechanical arm, a mobile module and a control module, which improves the heating and drying efficiency. The intelligent control and automated management functions can collect and analyze the dry and wet states of towels in real time, and automatically adjust the operating power of the hot air blower in the heating barrel through infrared spectrum sensors and humidity sensors to ensure that the towels achieve the best drying effect in the shortest time. In addition, the WiFi module realizes linkage control with other household appliances, and can also remotely monitor and manage the heating state of towels through the Internet of Things technology, avoiding the inconvenience and energy waste caused by manual adjustment. Fully automatic and intelligent not only improves the user experience, reduces the risk of bacterial growth, but also helps save energy.

[0043] On the other hand, the present application also provides a towel heating method with furniture linkage control function, which is applied to a towel heating device with furniture linkage control function, comprising:

[0044] Collect data on the range to be inspected, and determine the duration of a single inspection based on the data on the range to be inspected;

[0045] Collecting the reflectivity curve of the infrared spectrum sensor, judging the dryness or wetness of the towel according to the reflectivity curve, and controlling the robotic arm to put the wet towel into the heating barrel;

[0046] Determine the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and historical processing data;

[0047] After the operating power is determined, the humidity data of all the humidity sensors are collected, and whether to turn on the exhaust fan is determined based on the humidity data. When it is determined to turn on the exhaust fan, the humidity change data is collected, and the exhaust fan is adjusted and controlled based on the humidity change data.

[0048] It is understandable that the above-mentioned towel heating device and method with furniture linkage control function have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0050] Figure 1 A schematic diagram of the structure of a towel heating device with furniture linkage control function provided by an embodiment of the present invention;

[0051] Figure 2This is a flow chart of a towel heating method with furniture linkage control function provided by an embodiment of the present invention.

[0052] Among them, 110, the shell; 120, the heating barrel; 130, the Wifi module; 140, the robotic arm; 150, the mobile module; 160, the control module. DETAILED DESCRIPTION

[0053] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0054] With the improvement of living standards and the advancement of technology, the concept of smart home has gradually gained popularity, especially in home and commercial environments, the demand for heated and dried towels has continued to increase. In humid places such as bathrooms and toilets, the use of dry and warm towels has become an important element to improve the quality of life. Although robotics has made significant progress in various fields, including home cleaning, smart assistants, etc., the level of intelligence is still insufficient in the market segment specifically for towel heating and drying.

[0055] For example, traditional towel heating robots often use a fixed heating method and cannot adjust the heating power in real time according to the humidity changes of the towels, resulting in low heating efficiency and uneven drying. This means that some towels may not be completely dried due to uneven heating, which brings inconvenience to users and may even cause bacteria to grow, thus affecting health. Many existing towel heating robots lack intelligent control systems and cannot automatically sense changes in humidity in the environment. Especially in environments with high humidity, this leads to time waste and energy consumption during use. In addition, current towel heating products fail to achieve effective linkage control with other home appliances. For example, whether the exhaust fan is turned on or off, and the adjustment of indoor humidity, etc. require manual operation by the user. This limitation of lack of collaborative work not only reduces the convenience of home life, but may also lead to an increase in overall energy consumption. Therefore, it is necessary to design a towel heating method with furniture linkage control function to solve the problems existing in the current technology.

[0056] In some embodiments of the present application, see Figure 1As shown, a towel heating device with furniture linkage control function includes: a housing 110, a heating barrel 120, a wifi module 130, a mechanical arm 140, a mobile module 150 and a control module 160. The heating barrel 120 is arranged in the housing 110 for heating towels. The wifi module 130 is used to connect the device to be controlled through the Internet of Things. The device to be controlled includes an exhaust fan and a humidity sensor, and a plurality of humidity sensors are provided. An infrared spectrum sensor is provided on the mechanical arm 140. The control module 160 is respectively connected to the wifi module 130, the heating barrel 120, the mobile module 150 and the mechanical arm 140, and the control module 160 includes a collection unit, a judgment unit, a processing unit and an adjustment unit.

[0057] The collection unit is configured to collect data of the range to be inspected, and determine the duration of a single inspection according to the data of the range to be inspected.

[0058] The judgment unit is configured to collect a reflectivity curve of the infrared spectrum sensor, judge the dryness or wetness of the towel according to the reflectivity curve, and control the robot arm 140 to put the wet towel into the heating barrel 120 .

[0059] The processing unit is configured to determine the operating power of the hot air blower in the heating barrel 120 according to the number of wet towels in the heating barrel 120, the water content and the historical processing data.

[0060] The adjustment unit is configured to collect humidity data from all humidity sensors after the processing unit determines the operating power, and determine whether to turn on the exhaust fan based on the humidity data. When it is determined to turn on the exhaust fan, the adjustment unit is also configured to collect humidity change data and adjust and control the exhaust fan based on the humidity change data.

[0061] Specifically, the housing 110 provides overall structural support, protects internal components, and has aesthetic and safety functions. The heating barrel 120 is used to heat the wet towel to ensure uniform heat distribution and improve heating efficiency. The wifi module 130 connects the device to be controlled (such as an exhaust fan and a humidity sensor) through the Internet of Things to achieve linkage control. The robotic arm 140 is equipped with an infrared spectrum sensor, which is responsible for identifying the dry and wet state of the towel, and can automatically put the wet towel into the heating barrel 120, reducing the manual operation of the user. The mobile module 150 is set at the bottom of the device to achieve free movement of the device, and a sensing unit can also be set to assist the towel heating robot in identifying the environment and route. The sensing unit includes a camera and a distance sensor. The control module 160 is the core of the device, which includes a collection unit, a judgment unit, a processing unit and an adjustment unit, and is responsible for monitoring and controlling the overall system. The collection unit is responsible for collecting data of the inspection range in real time, including the number of wet towels, environmental humidity and other information to determine the duration of the inspection. The judgment unit obtains the reflectivity curve of the towel through the infrared spectrum sensor to determine the dry and wet state of the towel. It ensures that the robotic arm 140 can accurately identify the wet towel and process it. The processing unit intelligently determines the operating power of the hot air blower based on the number of wet towels, water content, and historical data in the heating barrel 120. The dynamic adjustment mechanism improves heating efficiency and reduces energy waste. After obtaining data from the humidity sensor, the adjustment unit determines whether the exhaust fan needs to be turned on to promote drying, and adjusts the working state of the exhaust fan in real time according to humidity changes, thereby ensuring the comfort and drying efficiency of the indoor environment.

[0062] It is understandable that by integrating intelligent control and automated management functions, the towel heating process is fully optimized. The humidity status of the towel is sensed in real time, and the heating and ventilation settings are automatically adjusted, which improves the heating efficiency and avoids the problem of uneven drying. The Internet of Things technology is used to achieve linkage with other home appliances, allowing users to manage remotely, reducing the trouble of manual operation and improving the overall convenience of use. This embodiment improves the energy efficiency of the equipment, reduces energy consumption, and effectively reduces the risk of bacterial growth.

[0063] In some embodiments of the present application, when the collection unit determines the duration of a single inspection according to the data of the range to be inspected, it includes:

[0064]

[0065] Among them, T represents the duration of a single inspection, A represents the area to be inspected, V represents the moving speed of the mobile module, C represents the single detection duration of the infrared spectrum sensor, S represents the moving speed of the mobile module in the detection state, and k represents the degree coefficient of the number of items in the range to be inspected.

[0066] It is understandable that the degree coefficient of the number of items in the range to be inspected indicates the number of items in the range to be inspected. The more items there are, the greater the degree coefficient of the number of items in the range to be inspected. The value of the degree coefficient of the number of items in the range to be inspected is 1-5. By dynamically calculating the duration of a single inspection, the inspection strategy can be intelligently adjusted according to the actual area of ​​the range to be inspected, the number of items, sensor performance and other conditions. The real-time monitoring capability of the towel status is improved, the errors caused by human operation are reduced, the inspection time is shortened, and the overall workflow is optimized. The intelligent inspection method enhances the convenience of use and user experience of the towel heating device.

[0067] In some embodiments of the present application, when the judgment unit judges the dry or wet state of the towel according to the reflectivity curve, it includes: the judgment unit obtains a reflectivity value according to the reflectivity curve, compares the reflectivity value with a reflectivity threshold, and judges the dry or wet state of the towel according to the comparison result.

[0068] Specifically, when the reflectivity value is greater than the reflectivity threshold, the judgment unit determines that the towel is a dry towel. When the reflectivity value is less than or equal to the reflectivity threshold, the judgment unit determines that the towel is a wet towel, determines the moisture content of the towel according to the reflectivity value, and transmits the moisture content to the processing unit.

[0069] It is understandable that reflectivity refers to the ability of an object's surface to reflect light. Wet towels and dry towels show significant differences in reflectivity. Wet towels have lower reflectivity because moisture absorbs part of the light. Dry towels, on the other hand, have higher reflectivity and can reflect light more effectively. Therefore, by detecting the reflectivity value and comparing it with a preset reflectivity threshold, the wet and dry states of the towel can be effectively distinguished. By judging the wet and dry states of the towel, the foundation is laid for the subsequent processing and heating process. The judgment method using the reflectivity curve not only improves the accuracy of humidity identification, but also can quickly monitor the moisture content of the towel to ensure that the towel is optimally treated during the heating process. Through automated judgment, there is no need to manually check the state of the towel, which improves the convenience and safety of use. In addition, this embodiment is conducive to reducing energy consumption and avoiding waste of resources caused by incorrect judgment of the wet and dry states.

[0070] In some embodiments of the present application, when the processing unit determines the operating power of the hot air blower in the heating barrel 120 according to the number of wet towels, the water content and the historical processing data in the heating barrel 120, it includes: the processing unit uses the maximum water content in the water content transmitted by the judgment unit as the water content in the heating barrel 120. The processing unit records the number of wet towels and the water content as the current task parameters, and records the historical number of wet towels and the historical water content in the historical processing data as the historical task parameters, and the historical processing data also includes the historical operating power corresponding to the historical task parameters. The processing unit calculates the similarity between the current task parameters and each historical task parameter.

[0071] Specifically, when there is data in the historical task parameters whose similarity with the current task parameters is greater than the similarity threshold, the processing unit uses the historical operating power corresponding to the historical task parameters as the operating power of the hot air blower in the heating barrel 120. When the similarity between each historical task parameter and the current task parameter is less than or equal to the similarity threshold, the processing unit uses the historical operating power corresponding to the historical task parameter corresponding to the historical task parameter with the maximum similarity as the initial power of the hot air blower in the heating barrel 120, and adjusts the initial power according to the historical operating powers corresponding to the remaining historical task parameters, and finally obtains the operating power of the hot air blower in the heating barrel 120.

[0072] It can be understood that the working principle of the processing unit is to use the similarity between the current state of the wet towel and the historical data to infer the optimal heating power. By analyzing the number and water content of the wet towels in the historical data, the power of the hot air blower required in the past is inferred, so as to quickly make more reasonable adjustments. The processing unit regards the maximum water content transmitted by the judgment unit as the current water content in the heating barrel 120, and records it as the current task parameter in combination with the number of wet towels. The processing unit extracts the number and water content of the wet towels from the historical processing data, and stores them together with the corresponding historical operating power as historical task parameters. If there is data with a similarity greater than the set similarity threshold, the corresponding historical operating power will be selected as the operating power of the hot air blower. If the similarity of all historical task parameters is less than or equal to the similarity threshold, the initial power is determined according to the historical task parameter corresponding to the maximum similarity value, and it is adjusted to calculate the final operating power. By combining real-time data with historical data, a more accurate adjustment basis is provided for the operating power of the hot air blower. Through similarity analysis, not only can different heating needs be flexibly responded to, but also unnecessary energy consumption can be avoided. This makes the hot air blower run more efficiently and can quickly adapt and optimize the drying process under different humidity and quantity conditions, improving the heating effect and energy efficiency.

[0073] In some embodiments of the present application, when the processing unit adjusts the initial power according to the historical operating power corresponding to the remaining historical task parameters, and finally obtains the operating power of the hot air blower in the heating barrel 120, it includes: the processing unit forms the data whose water content in the remaining historical task parameters is greater than the water content in the current task parameters into an increase set. The processing unit forms the data whose water content in the remaining historical task parameters is less than the water content in the current task parameters into a decrease set. The processing unit adjusts the initial power according to the increase set and the decrease set, and finally obtains the operating power of the hot air blower in the heating barrel 120.

[0074] In some embodiments of the present application, when the processing unit adjusts the initial power according to the increase set and the decrease set, it includes:

[0075]

[0076] Among them, G represents the operating power of the hot air blower in the heating barrel, N1 represents the number of historical operating powers in the increase set, G1j is the jth historical operating power in the increase set, G0 represents the initial power, N2 represents the number of historical operating powers in the decrease set, and G2q is the qth historical operating power in the decrease set.

[0077] It is understandable that the processing unit uses the increase and decrease sets to achieve detailed adjustment of the initial power. The increase set contains historical data with a moisture content higher than the current task parameters, while the decrease set contains historical data with a moisture content lower than the current task parameters. This ensures that the adjustment of the heating power can be based on historical experience, thereby achieving more accurate heating control. By dynamically adjusting the initial power and making full use of the statistical characteristics of historical data, the operating power of the hot air blower can more accurately reflect the actual moisture content of the current wet towel. The mechanism of flexibly adjusting the power according to actual conditions improves the drying efficiency and effectively reduces energy consumption. At the same time, this embodiment can automatically adapt to the use requirements under different conditions, thereby improving the intelligence level and scope of application of the equipment.

[0078] In some embodiments of the present application, when the adjustment unit determines whether to turn on the exhaust fan based on the humidity data, it includes: the adjustment unit obtains the humidity mean based on all the humidity data, compares the humidity mean with the humidity threshold, and determines whether to turn on the exhaust fan based on the comparison result.

[0079] Specifically, when the humidity mean value is greater than the humidity threshold, the adjustment unit determines to turn on the exhaust fan. When the humidity mean value is less than or equal to the humidity threshold, the adjustment unit determines not to turn on the exhaust fan.

[0080] It is understandable that the adjustment unit determines whether the exhaust fan needs to be turned on by calculating the average humidity of all humidity sensors and comparing it with the preset humidity threshold. It realizes real-time response to environmental changes to ensure that the humidity is maintained within the ideal range. By real-time monitoring and dynamic adjustment of humidity, the environment of the heating robot is always in the best condition. By intelligently turning on the exhaust fan, the ambient humidity can be effectively reduced, the drying speed of the towel can be increased, and the bacterial growth and odor caused by excessive humidity can be prevented. Automated humidity management improves the drying effect and reduces dependence on manual intervention by the user, realizing smart home linkage control.

[0081] In some embodiments of the present application, when the adjustment unit adjusts and controls the exhaust fan according to the humidity change data, it includes:

[0082] The adjustment unit collects the second humidity data after the exhaust fan is turned on, and the adjustment unit establishes a humidity data graph based on the second humidity data according to the distribution positions of the humidity sensors.

[0083] In the humidity data graph, a second humidity data is randomly determined as the center point (x0, y0), and the neighborhood range is determined with the center point as the center of the circle and r as the neighborhood radius.

[0084] The neighborhood average humidity is calculated based on the second humidity data of each coordinate point within the neighborhood range. When the difference between the second humidity data of the center point and the neighborhood average humidity is greater than the humidity difference threshold, the coordinates of the center point are determined to be defective coordinate points.

[0085] The defect coordinate center is obtained according to all defect coordinate points, and the adjustment unit aligns the air inlet of the exhaust fan with the defect coordinate center.

[0086] In some embodiments of the present application, the neighborhood average humidity is calculated by the following formula:

[0087]

[0088] Among them, D avg represents the average intensity of the neighborhood, k represents the neighborhood radius, (x0, y0) represents the coordinates of the center point, and D(i, j) represents the second humidity data at point (i, j) on the humidity data graph.

[0089] It is understandable that the adjustment unit collects the second humidity data after turning on the exhaust fan, constructs a humidity data graph, and analyzes the graph to determine the uniformity of the humidity distribution. If it is found that the humidity in a certain area is significantly higher than the average level, the area will be ventilated in a focused manner to improve the overall humidity management effect. By analyzing the humidity data graph, accurate identification and rapid response to humidity problem areas are achieved. By locating the defect coordinates and adjusting the air inlet of the exhaust fan, the uniform distribution of humidity can be improved and the phenomenon of excessive local humidity can be reduced. This embodiment not only improves the drying efficiency of towels, but also enhances the intelligent management capabilities of the overall equipment.

[0090] In the above embodiment, an intelligent towel heating robot is constructed through a shell, a heating barrel, a WiFi module, a mechanical arm, a mobile module and a control module, which improves the heating and drying efficiency. The intelligent control and automated management functions can collect and analyze the dry and wet status of the towel in real time, and automatically adjust the operating power of the hot air blower in the heating barrel through infrared spectrum sensors and humidity sensors to ensure that the towel achieves the best drying effect in the shortest time. In addition, the WiFi module realizes linkage control with other household appliances, and can also remotely monitor and manage the heating status of the towel through the Internet of Things technology, avoiding the inconvenience and energy waste caused by manual adjustment. Fully automatic and intelligent not only improves the user experience, reduces the risk of bacterial growth, but also helps save energy.

[0091] In another preferred embodiment based on the above embodiment, refer to Figure 2As shown, this embodiment provides a towel heating method with furniture linkage control function, which is applied to a towel heating device with furniture linkage control function, including:

[0092] S100: Collect data of the range to be inspected, and determine the duration of a single inspection according to the data of the range to be inspected;

[0093] S200: Collect the reflectivity curve of the infrared spectrum sensor, determine the dryness or wetness of the towel according to the reflectivity curve, and control the robotic arm to put the wet towel into the heating barrel;

[0094] S300: determining the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and historical processing data;

[0095] S400: After the operating power is determined, the humidity data of all humidity sensors are collected, and whether to turn on the exhaust fan is determined based on the humidity data. When it is determined to turn on the exhaust fan, the humidity change data is collected, and the exhaust fan is adjusted and controlled based on the humidity change data.

[0096] It is understandable that an intelligent towel heating robot is constructed through the shell, heating barrel, WiFi module, robotic arm, mobile module and control module to improve the heating and drying efficiency. The intelligent control and automated management functions can collect and analyze the dry and wet status of towels in real time, and automatically adjust the operating power of the hot air blower in the heating barrel through infrared spectrum sensors and humidity sensors to ensure that the towels achieve the best drying effect in the shortest time. In addition, the WiFi module realizes linkage control with other household appliances, and can also remotely monitor and manage the heating status of towels through the Internet of Things technology, avoiding the inconvenience and energy waste caused by manual adjustment. Fully automatic and intelligent not only improves the user experience, reduces the risk of bacterial growth, but also helps save energy.

[0097] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0098] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0099] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0100] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A towel heating device with furniture linkage control function, characterized in that: include: A housing, a heating barrel, a wifi module, a mechanical arm, a mobile module and a control module; the heating barrel is arranged in the housing and is used to heat the towel; the wifi module is used to connect the device to be controlled through the Internet of Things, and the device to be controlled includes an exhaust fan and a humidity sensor, and the humidity sensor is provided in a plurality; an infrared spectrum sensor is provided on the mechanical arm; the control module is respectively connected to the wifi module, the heating barrel, the mobile module and the mechanical arm, and the control module includes a collection unit, a judgment unit, a processing unit and an adjustment unit; The collection unit is configured to collect data of the range to be inspected, and determine the duration of a single inspection according to the data of the range to be inspected; The judgment unit is configured to collect a reflectivity curve of the infrared spectrum sensor, judge the dry or wet state of the towel according to the reflectivity curve, and control the mechanical arm to put the wet towel into the heating barrel; The processing unit is configured to determine the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and historical processing data; The adjustment unit is configured to collect humidity data from all the humidity sensors after the processing unit determines the operating power, and determine whether to turn on the exhaust fan based on the humidity data; when it is determined to turn on the exhaust fan, the adjustment unit is also configured to collect humidity change data, and adjust and control the exhaust fan based on the humidity change data.

2. The towel heating device with furniture linkage control function according to claim 1 is characterized in that: When the acquisition unit determines the duration of a single inspection according to the data of the range to be inspected, it includes: Among them, T represents the duration of a single inspection, A represents the area to be inspected, V represents the moving speed of the mobile module, C represents the single detection duration of the infrared spectrum sensor, S represents the moving speed of the mobile module in the detection state, and k represents the degree coefficient of the number of items in the range to be inspected.

3. The towel heating device with furniture linkage control function according to claim 1, characterized in that: When the judging unit judges the dry or wet state of the towel according to the reflectivity curve, it includes: The judging unit obtains a reflectivity value according to the reflectivity curve, compares the reflectivity value with a reflectivity threshold, and judges whether the towel is dry or wet according to the comparison result; When the reflectivity value is greater than the reflectivity threshold, the judging unit determines that the towel is a dry towel; When the reflectivity value is less than or equal to the reflectivity threshold, the judgment unit determines that the towel is a wet towel, determines the moisture content of the towel according to the reflectivity value, and transmits the moisture content to the processing unit.

4. The towel heating device with furniture linkage control function according to claim 3 is characterized in that: When the processing unit determines the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and the historical processing data, it includes: The processing unit uses the maximum water content among the water contents transmitted by the judging unit as the water content in the heating barrel; The processing unit records the number and water content of the wet towels as current task parameters, and records the historical number and water content of the wet towels in the historical processing data as historical task parameters, wherein the historical processing data also includes historical operating powers corresponding to the historical task parameters; the processing unit calculates the similarity between the current task parameters and each historical task parameter; When there is data in the historical task parameters whose similarity with the current task parameters is greater than a similarity threshold, the processing unit uses the historical operating power corresponding to the historical task parameters as the operating power of the hot air blower in the heating barrel; When the similarity between each of the historical task parameters and the current task parameter is less than or equal to the similarity threshold, the processing unit uses the historical operating power corresponding to the historical task parameter corresponding to the maximum similarity as the initial power of the hot air blower in the heating barrel, and adjusts the initial power according to the historical operating powers corresponding to the remaining historical task parameters, to finally obtain the operating power of the hot air blower in the heating barrel.

5. The towel heating device with furniture linkage control function according to claim 4, characterized in that: The processing unit adjusts the initial power according to the historical operating power corresponding to the remaining historical task parameters, and finally obtains the operating power of the hot air blower in the heating barrel, including: The processing unit forms the data of the remaining historical task parameters whose water content is greater than the water content of the current task parameters into an increase set; The processing unit forms a reduction set of data whose water content in the remaining historical task parameters is less than that in the current task parameters; The processing unit adjusts the initial power according to the increase set and the decrease set, and finally obtains the operating power of the hot air blower in the heating barrel.

6. The towel heating device with furniture linkage control function according to claim 5, characterized in that: When the processing unit adjusts the initial power according to the increase set and the decrease set, it includes: Among them, G represents the operating power of the hot air blower in the heating barrel, N1 represents the number of historical operating powers in the increase set, G1j is the j-th historical operating power in the increase set, G0 represents the initial power, N2 represents the number of historical operating powers in the decrease set, and G2q is the q-th historical operating power in the decrease set.

7. The towel heating device with furniture linkage control function according to claim 1, characterized in that: When the adjustment unit determines whether to turn on the exhaust fan according to the humidity data, it includes: The adjustment unit obtains a humidity mean value according to all the humidity data, compares the humidity mean value with a humidity threshold value, and determines whether to turn on the exhaust fan according to the comparison result; When the humidity mean value is greater than a humidity threshold value, the adjustment unit determines to turn on the exhaust fan; when the humidity mean value is less than or equal to the humidity threshold value, the adjustment unit determines not to turn on the exhaust fan.

8. The towel heating device with furniture linkage control function according to claim 7, characterized in that: When the adjustment unit adjusts and controls the exhaust fan according to the humidity change data, it includes: The adjustment unit collects second humidity data after the exhaust fan is turned on, and the adjustment unit establishes a humidity data graph based on the second humidity data according to the distribution positions of the humidity sensors; In the humidity data graph, a second humidity data is arbitrarily determined as a center point (x0, y0), and a neighborhood range is determined with the center point as the center of a circle and r as the neighborhood radius; Calculate the neighborhood average humidity according to the second humidity data of each coordinate point within the neighborhood range, and when the difference between the second humidity data of the center point and the neighborhood average humidity is greater than a humidity difference threshold, determine that the coordinates of the center point are defective coordinate points; A defect coordinate center is obtained according to all the defect coordinate points, and the adjustment unit aligns the air inlet of the exhaust fan with the defect coordinate center.

9. The towel heating device with furniture linkage control function according to claim 8, characterized in that: The neighborhood average humidity is calculated by the following formula: Among them, D avg represents the average intensity of the neighborhood, k represents the neighborhood radius, (x0, y0) represents the coordinates of the center point, and D(i, j) represents the second humidity data at point (i, j) on the humidity data graph.

10. A towel heating method with furniture linkage control function, applied to the towel heating device with furniture linkage control function as claimed in any one of claims 1 to 9, characterized in that: include: Collect data on the range to be inspected, and determine the duration of a single inspection based on the data on the range to be inspected; Collecting the reflectivity curve of the infrared spectrum sensor, judging the dryness or wetness of the towel according to the reflectivity curve, and controlling the robotic arm to put the wet towel into the heating barrel; Determine the operating power of the hot air blower in the heating barrel according to the number of wet towels in the heating barrel, the water content and historical processing data; After the operating power is determined, the humidity data of all the humidity sensors are collected, and whether to turn on the exhaust fan is determined based on the humidity data. When it is determined to turn on the exhaust fan, the humidity change data is collected, and the exhaust fan is adjusted and controlled based on the humidity change data.

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