Intelligent clothes hanger control system

Abstract

The invention relates to the technical field of intelligent control, in particular to an intelligent clothes hanger control system. The clothes parameters of the clothes aired on the clothes hanger, the low-position state, the high-position state and the airing scene of the clothes hanger are combined, and intelligent, accurate and adaptive integrated interaction control over the clothes hanger is achieved; moreover, the predicted airing time of a large number of clothes on the clothes hanger is predicted by calculating the airing state value of the clothes on the clothes hanger, so that the subsequent collection time of the clothes is judged and predicted to the user, and the failure risk value of the clothes hanger is calculated, so that the clothes on the clothes hanger can be collected in combination with the failure risk value under the predicted airing time. The clothes hanger can be executed according to the preset control instruction, so that the clothes hanger can be safely managed and controlled, and clothes can be conveniently collected.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent clothes drying rack control system. Background Art

[0002] The smart clothes drying rack is a traditional household product that integrates modern smart technology. By adding electronic control, remote operation, environmental monitoring and other functions, it provides users with a more convenient and comfortable drying experience.

[0003] For example, the Chinese patent publication date is 2019-12-17, and the publication number is CN110579988A, which discloses a smart clothes rack and its control device, control system, and control method. The smart clothes rack control system and the control device of the smart clothes rack of the present invention include an input device for inputting action instructions, wherein the action instructions include the target height information of the drying component of the smart clothes rack; and a controller for receiving the action instructions sent by the input device, and controlling the drying component to reach the corresponding target height according to the action instructions. The smart clothes rack and its control device, control system, and control method of the present invention can control the drying component to rise or fall to the target height through different height buttons, simplifying the control method of the smart clothes rack, and realizing one-button control of the smart clothes rack to rise and fall to the appropriate position, which is more convenient for the elderly and children to use.

[0004] In this technical solution and in combination with the prior art, height control is introduced to realize intelligent control of the clothes drying rack. However, the height of the clothes drying rack is currently controlled based on a preset height position. However, in actual application, since the clothes on the clothes drying rack are not combined, and the clothes have a certain length, when the height control is performed, it is not combined with the actual application scenario of the clothes drying rack for regulation, and it is impossible to provide a more accurate and adaptive clothes drying rack integrated control;

[0005] Secondly, the clothes drying rack can perform corresponding actions through preset control instructions. However, how to analyze the state of the clothes drying rack to clarify whether the clothes drying rack can perform corresponding actions according to the preset control instructions, so as to improve the interactive experience between the user and the clothes drying rack, and ensure that the clothes being dried are not affected are also problems that need to be solved at present. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides an intelligent clothes drying rack control system, which can effectively solve the problem that the prior art does not combine the actual application scenarios of the clothes drying rack and the operating status of the clothes drying rack, resulting in the inability to intelligently adapt and regulate and monitor the clothes drying rack.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] The present invention provides an intelligent clothes drying rack control system, which at least includes an intelligent monitoring control module, which is used to determine whether there is remaining hanging space on the clothes drying rack, and whether there are clothes carried by users in the monitoring collection area;

[0009] If it exists, then construct a prediction path and the corresponding execution time, and obtain the clothing height of the target clothing parameters on the clothes rack, the low height of the clothes rack in the low state, and the contour height, so that the clothes rack executes the low state at the execution time;

[0010] Also includes:

[0011] The drying status monitoring module is used to calculate the drying status value of the clothing during the drying process, determine whether the clothing has been dried, obtain the clothing that has been dried and record it as the target clothing, thereby generating and outputting the clothing information to be collected, wherein:

[0012] Determine whether to generate a height adjustment instruction based on the clothing information to be collected;

[0013] If a height adjustment instruction is generated, the fault risk value of the clothes rack is calculated, and combined with the fault risk value to predict whether the clothes rack can be executed accordingly, thereby forming corresponding control over the clothes rack and clothing.

[0014] The intelligent monitoring and control module comprises:

[0015] The space monitoring unit is used to monitor the hanging distribution status of the clothes on the clothes drying rack in real time and determine whether there is any remaining hanging space on the clothes drying rack;

[0016] A position control unit, used to monitor in real time whether there is a user in the collection area and whether the user is carrying clothing through an image collection terminal;

[0017] If there is a user, the user is carrying clothes, and there is remaining hanging space, obtain the user's current coordinates and the clothes hanger coordinates of the clothes hanger, monitor the obstacles in the collection area, build a predicted path with the user coordinates and clothes hanger coordinates and avoid obstacles, and obtain the path time under the predicted path. t And record it as execution time Perfrm t .

[0018] When there are multiple predicted paths, the path with the shortest path time is selected. t And record it as execution time Perfrm t ,in:

[0019] If the clothes drying rack is in the high position, the execution time Perfrm t The latest execution time for the clothes drying rack to descend to the low position.

[0020] The intelligent monitoring control module also includes:

[0021] The compensation adjustment unit is used to collect the clothing image carried by the user and input it into the image database to obtain the corresponding similar clothing. If the clothing image corresponds to the preset clothing in the image database, the clothing parameters of the preset clothing are obtained, and the clothing parameters include the length of the clothing. The maximum clothing parameter is determined and recorded as the target clothing parameter, thereby:

[0022] Determine the height of the clothes drying rack from the ground after it is lowered to the low position. h , simulated target clothing parameters based on the clothing height Clh reached from the ground h And get the contour height Ths of the user's shoe contour h ;

[0023] Clh h With Ths h Combine (add) to get the Cloth parameter that affects the height h ;

[0024] Determine the low height h Clothing h The state between:

[0025] If Lowle h >Cloth h , then a descending execution instruction is generated to the clothes rack and the clothes rack is executed at the execution time Perfrm t Execute below;

[0026] If Lowle h ≤Cloth h , a low position compensation instruction is generated to the clothes drying rack to modify the low position state to meet the Lowle h >Cloth h , and when it meets the requirements, generate a drop execution instruction and make the clothes drying rack execute at the execution time Perfrm t Next execute.

[0027] The drying status monitoring module includes:

[0028] The drying state analysis unit is used to calculate the drying state value Dfc of the clothes on the clothes drying rack to determine whether the clothes are dried. The drying state value Dfc is calculated according to the following relationship:

[0029]

[0030] Where: CT is the ambient temperature of the clothes drying rack, CW is the wind speed, CH is the ambient humidity, Ct is the drying time, Csr is the solar radiation intensity, CM is the clothing material, and the corresponding value is assigned according to the water absorption and air permeability of the clothing material, CTh is the clothing thickness, CWc is the real-time moisture content of the clothing, CND is the number of items, μ1, μ2, μ3, μ4, μ5, μ6, μ7 and μ8 are the corresponding weight coefficients, and μP is the constant correction coefficient;

[0031] Whether the clothes have been dried is determined based on the judgment results of Dfc and the drying threshold.

[0032] When the drying state value Dfc is generated:

[0033] Locate the clothes that have been hung by Dfc on the clothes drying rack and record them as target clothes, and obtain the target distribution coordinates of the target clothes;

[0034] The image data of the target clothing corresponding to the distribution coordinates on the clothes drying rack is obtained and recorded as the target clothing image, and the clothing information to be collected is created by using the target distribution coordinates and the target clothing image to output the clothing information to be collected.

[0035] The drying status monitoring module also includes:

[0036] The information warning control unit is used to monitor the window opening height and the target clothing parameters on the clothes drying rack, thereby obtaining the height protection parameters of the clothes drying rack, obtaining the weather data from the meteorological data center, obtaining the target weather data that affects the drying state value Dfc of the target clothing and the corresponding trigger time, and generating the drying warning information output with the weather data and the trigger time, wherein:

[0037] It is determined whether a height adjustment instruction is generated before the trigger time according to the output result, and the clothes drying rack is controlled in response to the height adjustment instruction.

[0038] The drying status monitoring module also includes:

[0039] The drying state prediction unit is used to obtain the drying state values ​​Dfc of different target garments, extract the drying parameters of the same target garments, and obtain the real-time moisture content of the target garments when they are initially dried and record it as the moisture content judgment parameter, determine other similar garments on other clothes drying racks based on the moisture content judgment parameter and the drying parameters, and predict the predicted drying time of other garments in combination with the time when the target garments are in Dfc.

[0040] When the drying state value Dfc and the height adjustment instruction are generated, they are also used to calculate the fault risk value of the clothes drying rack to determine whether the clothes drying rack can normally execute the start instruction later. The fault risk value is calculated according to the following relationship:

[0041]

[0042] Where: GS is the fault risk value, Bot is the start-up time from start to end when the clothes drying rack executes the start command, is the number of starts, Nos is the total noise time during the start time and running time, is the number of noises, Fct is the total fault time during the startup time and running time, is the number of failures, Wid is the total shaking time of the clothes drying rack caused by the environment during the startup time and the running time, is the number of shakes, Tem is the total amplitude of the shake, the total amplitude of the shake is obtained by obtaining the sum of the offset distance and offset angle of each shake of the clothes drying rack, and Gbt is the total normal operation time of the clothes drying rack. Normal operation means that the execution of the start command meets the preset start time range and there is no noise during the start time and the running time. is the number of normal operation times, are the corresponding weight coefficients, BGN is the number of calculation items, and ωd is the constant correction coefficient.

[0043] According to the judgment results of the fault risk value GS and the fault threshold, the fault degree of the clothes drying rack is determined to determine whether to issue an early warning to the terminal device.

[0044] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0045] Combined with clothing parameters and drying scenes of clothes drying on the clothes drying rack, intelligent, precise, adaptive and integrated interactive control of the clothes drying rack is realized;

[0046] Furthermore, the predicted drying time of a large number of clothes on the clothes drying rack is predicted by calculating the drying status value of the clothes on the clothes drying rack, thereby judging the subsequent collection time of the clothes and predicting it to the user, and by calculating the failure risk value of the clothes drying rack, and combining the failure risk value with the predicted drying time, it is clear that the clothes drying rack can be executed according to the preset control instructions, so as to facilitate the safe management and control of the clothes drying rack and the safe collection of the clothes. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] The present invention will be further described below in conjunction with the embodiments.

[0051] Example 1 (see Figure 1 ): Intelligent clothes drying rack control system, including at least:

[0052] Intelligent monitoring and control module, which includes:

[0053] The space monitoring unit is used to monitor the hanging distribution status of the clothes on the clothes drying rack in real time through the image acquisition terminal (camera device) and determine whether there is any remaining hanging space on the clothes drying rack;

[0054] The position control unit is used to monitor in real time through the image acquisition terminal whether there is a user in the acquisition area (the acquisition range of the image acquisition terminal set near the clothes drying rack) and whether the user is carrying clothes. Carrying clothes includes but is not limited to holding and supporting with hands. For this method, a large amount of image data of users carrying clothes is obtained in advance and trained through a machine learning model. After the image data is collected by the image acquisition terminal, the judgment result of whether the user is carrying clothes can be output;

[0055] In the above:

[0056] If there is a user, the user is carrying clothes in his hand, and there is remaining hanging space, the user coordinates of the user and the clothes hanger coordinates of the clothes hanger are obtained, and the obstacles in the collection area are monitored. The obstacles include but are not limited to tables, chairs, cabinets, etc. Therefore, a predicted path is constructed with the user coordinates and the clothes hanger coordinates and avoiding obstacles. Then, according to the distance S of the predicted path and the preset speed V, the path time Pathy required for the user to reach the clothes hanger coordinates from the user coordinates is obtained. t , where for the predicted path, it can be multiple, so the path time under multiple predicted paths is obtained. t , and then, to determine the minimum path time t And record it as execution time Perfrm t , if the clothes drying rack is in the high position (for clothes drying racks, there are usually preset high and low positions. The high position is raised to a certain height for drying clothes, and the low position is lowered to a certain position for users to hang clothes), the execution time Perfrmt As the latest execution time for the clothes rack to be lowered to the low position, it ensures that subsequent users can conveniently hang clothes to dry no matter which predicted path they take to reach the clothes rack. t , so that the clothes drying rack can be prepared in advance before the user arrives near the clothes drying rack, making it convenient for the user to hang clothes for drying.

[0057] Furthermore, it also includes:

[0058] The compensation adjustment unit is used to collect the clothing images carried by the user, and extract the clothing images and input them into the image database to obtain the corresponding similar clothing. The color histogram can be used for judgment, that is, the similarity between clothing images can be evaluated by comparing the color histograms, such as using cosine similarity, chi-square test and other algorithms. Among them, if the clothing image meets the similarity threshold, it is judged that the clothing image corresponds to the preset clothing in the image database, thereby obtaining the clothing parameters of the preset clothing, including but not limited to the length of the clothes, the length of the sleeves, etc. In this solution, the length of the clothes can be extracted from the clothing parameters, and the maximum clothing parameter is determined and recorded as the target clothing parameter. Therefore, the low height Lowle of the clothes rack from the ground is determined after it is lowered to the low state. h , simulate the target clothing parameters based on the clothing height Clh reached from the ground h , and at the same time obtain the contour height Ths of the user's shoe contour h , here we get the profile height Ths h This is because when users hang clothes on the clothes rack, they usually need to reach near the clothes rack, so the user's feet and body are close to the clothes rack. After the clothes are hung, they will naturally fall vertically due to gravity. Therefore, in order to avoid the clothes from touching the shoes and being affected by dust, Clh h With Ths h Combine (add) to get the Cloth parameter that affects the height h

[0059] Determine the low height h Clothing h The state between:

[0060] If Lowle h >Cloth h , a descending execution instruction is generated to the clothes drying rack to descend to the low state and the clothes drying rack is executed at the execution time Perfrm t In the present embodiment, the low position of the clothes drying rack is a preset position height;

[0061] If Lowle h ≤Cloth h, a low position compensation instruction is generated to the clothes drying rack to modify its low position state to meet the Lowle h >Cloth h , and when the low state meets the requirements, regenerate the descending execution instruction and make the clothes drying rack execute at the execution time Perfrm t Execute below;

[0062] Therefore, the low height of the clothes drying rack is optimized and adjusted by combining the actual clothing parameters of the clothing. h It can ensure that when clothes are hung on the clothes drying rack, they do not come into contact with the ground, and ensure that the clothes are in a certain vertical state with the ground, which speeds up the drying process and prevents the dust on the ground from affecting the clothes.

[0063] After the user hangs the clothes on the clothes rack, a monitoring time value is set, which can be preset to 3-5 minutes. During the monitoring time value, it is monitored in real time whether there are users near the current clothes rack (the nearby range can be constructed with the clothes rack as the center radius of one meter), and whether the clothes rack is shaking is monitored according to the preset vibration analysis module (the state of the clothes rack is collected by the vibration sensor). If neither exists, a clothes rack restoration instruction is generated to restore the clothes rack to the preset high state (the preset high height for drying), thereby facilitating the drying of clothes hung on the clothes rack.

[0064] Drying status monitoring module, including:

[0065] The drying state analysis unit is used to calculate the drying state value Dfc of the clothes on the clothes drying rack to determine whether the clothes are dried. The drying state value Dfc is calculated according to the following relationship:

[0066]

[0067] Wherein: CT is the ambient temperature of the clothes drying rack (here, the clothes drying rack is used for the collection, which will not be described in detail later), CW is the wind speed, CH is the ambient humidity, Ct is the drying time (the time from hanging to the current time), Csr is the solar radiation intensity, CM is the clothing material, and the corresponding value is assigned according to the water absorption and air permeability of the clothing material. Generally, the greater the water absorption and the lower the air permeability, the greater the CM value, and vice versa. CTh is the clothing thickness, and CWc is the real-time moisture content of the clothing. It should be noted that CT, CW, CH, Ct, CM, Csr, CTh and CWc in the above are all normalized and then substituted into the calculation to ensure the accuracy of the judgment of the clothing drying state value Dfc, CND is the number of items (the number of items here refers to CT,,, CWc, so it is preset to 8), μ1, μ2, μ3, μ4, μ5, μ6, μ7 and μ8 are the corresponding weight coefficients, which can be preset by personnel, and μP is the constant correction coefficient;

[0068] Then, based on the obtained drying state value Dfc, it is compared with the preset drying threshold value DFc. If:

[0069] If Dfc≥DFc, it is determined that the current clothing is finished drying, otherwise it is not finished drying.

[0070] Thus, the drying state values ​​Dfc of multiple clothes on the clothes drying rack are obtained, and then, it is determined whether different clothes have been dried, so as to locate the clothes on the clothes drying rack that have been dried by Dfc, and record them as target clothes, and obtain the target distribution coordinates of the target clothes. At the same time, the image data of the target clothes corresponding to the distribution coordinates on the clothes drying rack is obtained and recorded as the target clothes image, and thus the target distribution coordinates and the target clothes image are used to create the clothes information to be collected (including the target distribution coordinates and the target clothes image), so as to output the clothes information to be collected to a terminal device connected to the clothes drying rack in communication, such as a mobile phone, a computer, etc., and then the clothes information to be collected can not only indicate that the user will collect the clothes in time, but also provide the user with the image data of the clothes that have been dried and the location of the clothes, so that even if there are multiple clothes drying racks or they are large in size, the clothes drying on the clothes drying racks can be located based on the clothes information to be collected, which is also convenient for the user to quickly find the clothes and collect them.

[0071] Among them, at present, the clothes drying rack is usually set near the indoor window, and the window is in an open state, so that the outdoor wind, temperature and environment can accelerate the drying speed of the clothes. However, if the weather is not good, such as when it rains, the clothes drying rack and the clothes will be easily affected by the rain. Therefore, it also includes:

[0072] The information warning control unit is used to monitor the window opening height and the target clothing parameter of the clothing on the clothes drying rack, set the target clothing parameter higher than the window opening height as the height protection parameter of the clothes drying rack, and synchronously obtain the weather data of the meteorological data center to obtain the target weather data that affects the drying state value Dfc of the target clothing (here, the influence refers to the situation that causes the Dfc of the clothing to decrease) and its corresponding trigger time, and thus generate the drying warning information based on the weather data and the trigger time and output it to the terminal device, wherein:

[0073] If the user receives the drying warning message and replies "clothes cannot be collected before the trigger time" or does not reply, a height adjustment instruction is generated before the trigger time, and the height adjustment instruction is used to control the start of the clothes drying rack, thereby keeping the clothes drying rack and its clothes away from the window to avoid the situation where the Dfc of the clothes is reduced due to rainy weather.

[0074] Different from the above solution, it also includes:

[0075] The drying state prediction unit is used to obtain the drying state values ​​Dfc of different target garments (determined to be dried in the above), extract the drying state values ​​Dfc of the same target garments (determined to be dried by the similarity algorithm, not limited to the cosine similarity, etc., which will not be repeated here) during the drying process, including the ambient temperature CT, the wind speed CW, the ambient humidity CH, the drying time Ct, the solar radiation intensity Csr, the garment material CM, and the garment thickness CTh. Thus, when CT, CW, CH, Ct, Csr, CM, and CTh remain unchanged, the real-time moisture content of the target garments during the initial drying is obtained and recorded as the moisture content judgment parameter to determine whether there are other garments on other clothes hangers with the same moisture content judgment parameter and drying parameter (by building an integrated analysis platform, the clothes hangers in use are integrated and summarized into the integrated analysis platform for monitoring and management. It should be noted that the integrated analysis platform is only used to analyze the predicted drying time of the garments in the following text, and does not involve other processing. Here, it is announced to the user and authorized by the user when the user registers and uses the clothes hangers). The time when the clothing reaches Dfc is used to predict the drying time of other clothing and record it as the predicted drying time. Here, when predicting the predicted drying time of other clothing, it is necessary to input the image data corresponding to the target clothing into the image database (an image database constructed by the image data of clothing collected by a large number of clothes drying racks) to determine other clothing similar to it, and judge similar clothing through a similarity algorithm, which is not limited to cosine similarity, etc., to obtain similar other clothing. Therefore, combined with the same moisture content judgment parameter and drying parameter as the target clothing when drying, the predicted drying time of other clothing can be predicted, and thus the predicted drying time of other clothing (which can be multiple) on a large number of other clothes drying racks can be obtained. Therefore, the drying time prediction of a large number of different types of other clothing is realized, so as to output the predicted drying time to the user, indicating the user to prepare for the collection of clothing. In this way, it is convenient for the user to reasonably plan his own time, so as to collect the clothing in time when the predicted drying time is reached later, and avoid the impact of sudden bad weather on the clothing in the later period, thereby forming an intelligent human-computer interaction assistance.

[0076] It is worth noting that, since the drying parameters can be directly obtained through the meteorological center, the method of predicting the drying time in the above-mentioned way can greatly reduce the loss of data calculation resources generated by a large number of clothes drying racks, while saving resource costs.

[0077] It should be noted that before obtaining the image data of clothing on the clothes rack and performing subsequent similarity determination, the clothes rack obtains the user's authorization in advance to collect the image data of clothing and compare it with a large number of clothing existing under this type of clothes rack, and the image data collected by the clothes rack is only used to predict the drying time of clothing, thereby ensuring that the user's privacy information will not be leaked.

[0078] In the above, after the predicted drying time is obtained through the initial drying of other clothes, in order to further reduce the impact on the Dfc of the clothes, the following steps are also included:

[0079] The fault risk value of the clothes drying rack is calculated to determine whether the clothes drying rack can subsequently execute the startup command (including the high position state, the low position state and the height adjustment command) normally. The specific calculation formula of the fault risk value is as follows:

[0080]

[0081] Where: GS is the fault risk value, Bot is the start-up time from start to end (the time to complete the high state, low state and height adjustment command) when the clothes drying rack executes the start-up command, is the number of starts, Nos is the total noise time during the start time and running time, is the number of noises, Fct is the total fault time during the startup time and running time, is the number of failures, Wid is the total shaking time of the clothes drying rack caused by the environment (such as wind blowing) during the startup time and running time, is the number of shakes, Tem is the total amplitude of the shake, the total amplitude of the shake is obtained by obtaining the sum of the offset distance and offset angle of each shake of the clothes drying rack, and Gbt is the total normal operation time of the clothes drying rack. Normal operation means that the execution of the start command meets the preset start time range and there is no noise during the start time and the running time. is the number of normal operation times, are the corresponding weight coefficients, BGN is the number of calculation items (preset to 5), and ωd is the constant correction coefficient;

[0082] Thus, the fault risk value GS of the clothes drying rack is obtained. If the fault risk value GS exceeds the preset fault threshold, it means that the clothes drying rack may not be able to execute or encounter problems when executing the height adjustment instruction in the subsequent time. Therefore, by synchronously outputting the fault risk value GS to the user's terminal device, it can be predicted to the user in advance that the subsequent height adjustment instruction may not be executed according to the preset standard, thereby predicting to the user that the drying state value Dfc of the clothes drying rack (including target clothes, other clothes and all clothes) will be affected, and further predicting the user to plan time reasonably, so that when it fails, the user himself can collect the corresponding clothes on the clothes drying rack in time at the corresponding time before the height adjustment instruction is executed, so that the current clothes drying rack can form a collaborative interaction with the user.

[0083] Different from the above, in this solution, a stress sheet (stress sheet sensor) is also configured on the clothes drying rack to detect the state change of the lifting rope on the clothes drying rack to control the control system of the motor in the clothes drying rack, specifically:

[0084] Stress sheets are installed on the lifting rope of the clothes drying rack or its connecting parts. These stress sheets can sense the change of tension on the rope. By connecting the stress sheets to the control system of the motor, the detected stress data can be transmitted to the control system in real time. By processing and analyzing the received stress data, it is determined whether the state of the rope is normal. When the stress sheet detects that the tension on the rope suddenly drops or reaches a preset warning threshold, it is determined that the rope is suspected to be broken. The stress sheet will immediately output a warning signal to the control system of the motor. The motor control system that receives the warning signal will immediately respond. The response state is preset to stop the operation of the motor to prevent the lifting rope from further contracting. Furthermore, by stopping the operation of the motor in time, the lifting rope can be prevented from loosening due to breakage, and the rope can be prevented from being entangled inside the motor, which can avoid further damage and maintenance difficulties. When the motor stops in time, the lifting rope will not continue to contract, and the user can more easily take out the broken rope for replacement, which can ensure the subsequent replacement of the lifting rope of the clothes drying rack.

[0085] 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 aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent clothes drying rack control system, including an intelligent monitoring control module, is used to determine whether there is any remaining hanging space on the clothes drying rack, and whether there are any clothes carried by users in the monitoring collection area, and is characterized by: If it exists, then construct a prediction path and the corresponding execution time, and obtain the clothing height of the target clothing parameters on the clothes rack, the low height of the clothes rack in the low state, and the contour height, so that the clothes rack executes the low state at the execution time; Also includes: The drying status monitoring module is used to calculate the drying status value of the clothing during the drying process, determine whether the clothing has been dried, obtain the clothing that has been dried and record it as the target clothing, thereby generating and outputting the clothing information to be collected, wherein: Determine whether to generate a height adjustment instruction based on the clothing information to be collected; If a height adjustment instruction is generated, the fault risk value of the clothes rack is calculated, and combined with the fault risk value to predict whether the clothes rack can be executed accordingly, thereby forming corresponding control over the clothes rack and clothing.

2. The intelligent clothes drying rack control system according to claim 1, characterized in that: The intelligent monitoring and control module comprises: The space monitoring unit is used to monitor the hanging distribution status of the clothes on the clothes drying rack in real time and determine whether there is any remaining hanging space on the clothes drying rack; A position control unit, used to monitor in real time whether there is a user in the collection area and whether the user is carrying clothing through an image collection terminal; If there is a user, the user is carrying clothes, and there is remaining hanging space, obtain the user's current coordinates and the clothes hanger coordinates of the clothes hanger, monitor the obstacles in the collection area, build a predicted path with the user coordinates and clothes hanger coordinates and avoid obstacles, and obtain the path time under the predicted path. t And record it as execution time Perfrm t .

3. The intelligent clothes drying rack control system according to claim 1, characterized in that: When there are multiple predicted paths, the path with the shortest path time is selected. t And record it as execution time Perfrm t ,in: If the clothes drying rack is in the high position, the execution time Perfrm t The latest execution time for the clothes drying rack to be lowered to the low position.

4. The intelligent clothes drying rack control system according to claim 2, characterized in that: The intelligent monitoring control module also includes: The compensation adjustment unit is used to collect the clothing image carried by the user and input it into the image database to obtain the corresponding similar clothing. If the clothing image corresponds to the preset clothing in the image database, the clothing parameters of the preset clothing are obtained, and the clothing parameters include the length of the clothing. The maximum clothing parameter is determined and recorded as the target clothing parameter, thereby: Determine the height of the clothes drying rack from the ground after it is lowered to the low position. h , simulated target clothing parameters based on the clothing height Clh reached from the ground h And get the contour height Ths of the user's shoe contour h ; Clh h With Ths h Combine (add) to get the Cloth parameter that affects the height h ; Determine the low height h Clothing h The state between: If Lowle h >Cloth h , then a descending execution instruction is generated to the clothes drying rack and the clothes drying rack is executed at the execution time Perfrm t Execute below; If Lowle h ≤Cloth h , a low position compensation instruction is generated to the clothes drying rack to modify the low position state to meet the Lowle h >Cloth h , and when it meets the requirements, generate a drop execution instruction and make the clothes drying rack execute at the execution time Perfrm t Next execute.

5. The intelligent clothes drying rack control system according to claim 1, characterized in that: The drying status monitoring module comprises: The drying state analysis unit is used to calculate the drying state value Dfc of the clothes on the clothes drying rack to determine whether the clothes are dried. The drying state value Dfc is calculated according to the following relationship: Where: CT is the ambient temperature of the clothes drying rack, CW is the wind speed, CH is the ambient humidity, Ct is the drying time, Csr is the solar radiation intensity, CM is the clothing material, and the corresponding value is assigned according to the water absorption and air permeability of the clothing material, CTh is the clothing thickness, CWc is the real-time moisture content of the clothing, CND is the number of items, μ1, μ2, μ3, μ4, μ5, μ6, μ7 and μ8 are the corresponding weight coefficients, and μP is the constant correction coefficient; Whether the clothes have been dried is determined based on the judgment results of Dfc and the drying threshold.

6. The intelligent clothes drying rack control system according to claim 5, characterized in that: When the drying state value Dfc is generated: Locate the clothes that have been hung by Dfc on the clothes drying rack and record them as target clothes, and obtain the target distribution coordinates of the target clothes; The image data of the target clothing corresponding to the distribution coordinates on the clothes drying rack is obtained and recorded as the target clothing image, and the clothing information to be collected is created by using the target distribution coordinates and the target clothing image to output the clothing information to be collected.

7. The intelligent clothes drying rack control system according to claim 1, characterized in that: The drying status monitoring module also includes: The information warning control unit is used to monitor the window opening height and the target clothing parameters on the clothes drying rack, thereby obtaining the height protection parameters of the clothes drying rack, obtaining the weather data from the meteorological data center, obtaining the target weather data that affects the drying state value Dfc of the target clothing and the corresponding trigger time, and generating the drying warning information output with the weather data and the trigger time, wherein: It is determined whether a height adjustment instruction is generated before the trigger time according to the output result, and the clothes drying rack is controlled in response to the height adjustment instruction.

8. The intelligent clothes drying rack control system according to claim 6, characterized in that: The drying status monitoring module also includes: The drying state prediction unit is used to obtain the drying state values ​​Dfc of different target garments, extract the drying parameters of the same target garments, and obtain the real-time moisture content of the target garments when they are initially dried and record it as the moisture content judgment parameter, determine other similar garments on other clothes drying racks based on the moisture content judgment parameter and the drying parameters, and predict the predicted drying time of other garments in combination with the time when the target garments are in Dfc.

9. The intelligent clothes drying rack control system according to claim 7, characterized in that: When the drying state value Dfc and the height adjustment instruction are generated, they are also used to calculate the fault risk value of the clothes drying rack to determine whether the clothes drying rack can normally execute the start instruction later. The fault risk value is calculated according to the following relationship: Where: GS is the fault risk value, Bot is the start-up time from start to end when the clothes drying rack executes the start command, is the number of starts, Nos is the total noise time during the start time and running time, is the number of noises, Fct is the total fault time during the startup time and the running time, is the number of failures, Wid is the total shaking time of the clothes drying rack caused by the environment during the startup time and the running time, is the number of shakes, Tem is the total amplitude of the shake, the total amplitude of the shake is obtained by obtaining the sum of the offset distance and offset angle of each shake of the clothes drying rack, and Gbt is the total normal operation time of the clothes drying rack. Normal operation means that the execution of the start command meets the preset start time range and there is no noise during the start time and the running time. is the number of normal operation times, are the corresponding weight coefficients, BGM is the number of calculation items, and ωd is the constant correction coefficient; According to the judgment results of the fault risk value GS and the fault threshold, the fault degree of the clothes drying rack is determined to determine whether to issue an early warning to the terminal device.

10. The intelligent clothes drying rack control system according to claim 1, characterized in that: The clothes drying rack shown is also provided with a stress sheet for detecting whether the lifting rope on the clothes drying rack is broken, thereby determining whether to start or close the motor control system in the clothes drying rack.

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