Intelligent multifunctional honeycomb curtain and processing method thereof

By designing an intelligent multifunctional honeycomb blind, and combining a rope retraction mechanism and an environmental impact analysis module, the automation and intelligence issues of existing honeycomb blinds have been solved. This has enabled stable retraction and environmental adaptability control of the blind, and improved its intelligence level and functional diversity.

CN116220532BActive Publication Date: 2025-11-18刘壁
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Patent Information

Application Number
CN202310193618.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-01
Publication Date
2025-11-18
Estimated Expiration
2043-03-01

AI Technical Summary

Technical Problem

Existing honeycomb blinds are unable to achieve stable automatic opening and closing, cannot reasonably analyze the external environment and issue early warnings, and cannot evaluate the operation status of the blinds based on multi-dimensional data analysis, resulting in insufficient intelligence and functional diversity.

Method used

A smart multifunctional honeycomb blind was designed, comprising a rope retraction and extension mechanism, a processor, a data storage module, an intelligent control feedback module, a blind retraction and extension stability analysis module, and a blind operation performance evaluation module. These modules analyze the impact of the external environment, generate intelligent control signals, and evaluate the stability and operation of the blind retraction and extension process to achieve automatic control and early warning.

Benefits of technology

It achieves stable and automatic opening and closing of the honeycomb curtain, can respond promptly to changes in the external environment, provides early warnings and abnormal prompts, improves the level of intelligence and functional diversity, and ensures the stable operation and service life of the curtain.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The application belongs to the technical field of honeycomb curtains, and particularly relates to an intelligent multifunctional honeycomb curtain and a processing method thereof. The honeycomb curtain comprises an upper mounting seat and a processor. Two groups of lateral track plates are arranged between the upper mounting seat and a lower mounting seat. A movable plate and a fixed plate are arranged between the two groups of lateral track plates. A curtain body of the honeycomb curtain is arranged between the movable plate and the fixed plate. The movable plate and a rope winding roller are connected through a curtain body winding and unwinding rope. The application does not need to manually pull the curtain body to wind or unwind the curtain. The winding and unwinding process is more stable. When the curtain body does not shield the window, whether the curtain needs to be unwound is reasonably determined by analyzing the influence of the external environment. The running state of the unwinding or winding process is accurately evaluated and determined based on multi-element data analysis. The application has a fault and abnormality prediction function and an abnormality early warning function. The intelligent level and functional diversity are obviously improved.
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Description

Technical Field

[0001] This invention relates to the field of honeycomb curtain technology, specifically an intelligent multifunctional honeycomb curtain and its processing method. Background Technology

[0002] Honeycomb blinds, also known as accordion blinds, are inspired by the design of honeycombs in nature. The honeycomb structure inside the blinds allows air to be stored in the hollow layers, which helps to maintain a constant indoor temperature and provide insulation. The pull cords of honeycomb blinds are hidden in the hollow layers, making them simpler and more practical to use than traditional blinds. They are suitable for villas, star-rated hotels, office buildings, and other places.

[0003] Existing honeycomb blinds mainly rely on manual pulling force to raise or lower the curtain to cover or open windows. This makes it difficult to achieve stable and automatic opening and closing of the curtain, and it is also impossible to reasonably analyze external environmental conditions and issue corresponding warnings and automatically lower the curtain based on the degree of influence of the external environment. Furthermore, it is impossible to evaluate and judge the operation of the curtain opening or closing process based on multi-dimensional data analysis. Consequently, users cannot understand the problems existing in the operation of the honeycomb blind in a timely manner and take corresponding countermeasures. The level of intelligence and functional diversity need to be improved.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent multifunctional honeycomb curtain and its processing method, which solves the problems in the prior art that it is difficult to achieve stable and automatic opening and closing of the honeycomb curtain body, and that it is impossible to reasonably analyze the external environmental conditions and issue corresponding early warnings and automatically open the curtain based on the degree of influence of the external environment, and that it is impossible to evaluate and judge the operation status of the opening or closing process based on multivariate data analysis, and that the level of intelligence and functional diversity need to be improved.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A smart multifunctional honeycomb blind includes an upper mounting base, a lower mounting base, and a processor. The upper mounting base is located above the lower mounting base, and two sets of lateral track plates are fixedly arranged between the upper and lower mounting bases. A movable plate and a fixed plate are horizontally arranged between the two sets of lateral track plates. The movable plate is located below the fixed plate, and the honeycomb blind body is installed between the movable plate and the fixed plate. The upper mounting base is provided with a rope winding mechanism, which includes a drive storage chamber opened in the upper mounting base. A drive motor is fixedly arranged in the drive storage chamber through a motor mount. A transverse rotating shaft is installed at the output end of the drive motor, and rope winding rollers are fixedly arranged on the outer circumference of both ends of the transverse rotating shaft.

[0008] The movable plate and the rope winding roller are connected by a curtain winding rope, which passes through the fixed plate and the honeycomb curtain. The bottom of the upper mounting base is equipped with a rope guide and protection component for the curtain winding rope to pass through. The processor is connected to a data storage module, an intelligent control feedback module, a curtain winding stability analysis module, and a curtain operation performance evaluation module. The intelligent control feedback module is used to analyze the impact of the external environment when the curtain does not cover the window, and determine whether to generate an intelligent control signal based on the impact analysis results. When an intelligent control signal is generated, it is sent to the processor.

[0009] The curtain retraction and deployment stability analysis module is used to analyze the curtain retraction and deployment speed at the end of the curtain retraction or deployment process and generate a stability qualified signal or a stability unqualified signal, and send the stability qualified signal or stability unqualified signal to the processor; the curtain operation performance evaluation module is used to perform curtain operation evaluation analysis at the end of the curtain retraction or deployment process, generate a first-level warning signal, a second-level warning signal or no warning signal based on the evaluation analysis results, and send the first-level warning signal or the second-level warning signal to the processor.

[0010] Furthermore, the specific operation process of the intelligent control feedback module includes:

[0011] The system acquires external ultraviolet intensity data, light intensity data, and temperature data. It retrieves a preset suitable temperature range through the data storage module, calculates the average of the maximum and minimum values ​​within the preset suitable temperature range to obtain temperature scale data, and calculates the difference between the temperature data and the temperature scale data and takes the absolute value to obtain temperature influence data.

[0012] The external influence value is obtained by numerically calculating the ultraviolet intensity data, light intensity data, and temperature influence data. The preset external influence threshold is retrieved through the data storage module. The external influence value is compared with the external influence threshold. If the external influence value is greater than or equal to the preset external influence threshold, an intelligent control signal is generated. If the external influence value is less than the preset external influence threshold, no intelligent control signal is generated.

[0013] Furthermore, the specific operation process of the curtain retraction and extension stability analysis module includes:

[0014] The system acquires the initial and final positions of the lower end of the curtain during the current curtain raising or lowering process, marks the distance between the initial and final positions as the curtain movement distance value, and acquires the start and end times of the curtain movement during the current curtain raising or lowering process. The difference between the end and start times is calculated to obtain the raising / lowering time value, and the ratio of the current curtain movement distance value to the raising / lowering time value is calculated to obtain the curtain speed performance value. The system retrieves a preset speed performance range through the data storage module and compares the curtain speed performance value with the preset speed performance range. If the curtain speed performance value is not within the preset speed performance range, a stability failure signal is generated.

[0015] If the curtain speed performance value is within the preset operating speed range, the curtain speed fluctuation value is obtained through curtain speed deviation analysis. The preset curtain speed fluctuation threshold is retrieved through the data storage module, and the curtain speed fluctuation value is compared with the preset curtain speed fluctuation threshold. If the curtain speed fluctuation value is greater than or equal to the preset curtain speed fluctuation threshold, a stability failure signal is generated. If the curtain speed fluctuation value is less than the preset curtain speed fluctuation threshold, a stability success signal is generated.

[0016] Furthermore, the specific analysis process for the curtain velocity deviation analysis is as follows:

[0017] During the current operation of the curtain, several analysis time points are set and marked as o, o = 1, 2, ..., k, where k represents the number of analysis time points and k is a positive integer greater than 1; the real-time movement speed of the curtain at the corresponding analysis time point o is obtained; the difference between the real-time movement speeds of two adjacent sets of analysis time points is calculated and the absolute value is taken to obtain the speed adjacent difference coefficient, and finally k-1 sets of speed adjacent difference coefficients are obtained; a rectangular coordinate system located in the first quadrant is established with time as the X-axis and speed adjacent difference coefficient as the Y-axis; all speed adjacent difference coefficients for the current operation are obtained; all speed adjacent difference coefficients are marked into the rectangular coordinate system in chronological order to generate k-1 speed adjacent difference coordinate points in the corresponding rectangular coordinate system;

[0018] Obtain the velocity adjacent coordinate point with the largest Y-axis coordinate value and the velocity adjacent coordinate point with the smallest Y-axis coordinate value. Mark the Y-axis distance between the two sets of velocity adjacent coordinate points as the velocity amplitude value. Draw a ray parallel to the X-axis in the rectangular coordinate system with (0, LB) as the endpoint and mark it as the velocity adjacent difference determination ray. Mark the velocity adjacent coordinate points above the velocity adjacent difference determination ray as unstable coordinate points and the velocity adjacent coordinate points below the velocity adjacent difference determination ray as stable coordinate points. Calculate the ratio of the number of unstable coordinate points to the number of stable coordinate points to obtain the velocity anomaly coefficient. Numerically calculate the velocity anomaly coefficient and the velocity amplitude value to obtain the curtain velocity fluctuation value.

[0019] Furthermore, the specific operation process of the curtain operation performance evaluation module includes:

[0020] The operation agility coefficient is obtained through curtain operation response agility analysis, and the operation anomaly coefficient is obtained through curtain operation anomaly analysis. The preset operation agility coefficient threshold and preset operation anomaly coefficient threshold are retrieved through the data storage module. The operation agility coefficient and operation anomaly coefficient are compared with the preset operation agility coefficient threshold and preset operation anomaly coefficient threshold respectively. If the operation agility coefficient and operation anomaly coefficient are both less than the corresponding threshold, no operation warning signal is generated. If the operation agility coefficient and operation anomaly coefficient are both greater than or equal to the corresponding threshold, a first-level operation warning signal is generated. In other cases, a second-level operation warning signal is generated.

[0021] Furthermore, the specific analysis process for the curtain's operational responsiveness is as follows:

[0022] The system obtains the start and end command times during the current curtain raising or lowering process. It calculates the difference between the curtain's start time and the start command time to obtain the start response value, calculates the difference between the curtain's end time and the end command time to obtain the braking response value, and performs numerical calculations on the braking response value and the start response value to obtain the operation agility coefficient.

[0023] Furthermore, the specific analysis process for abnormal curtain operation is as follows:

[0024] The average vibration frequency and average vibration amplitude during the operation of the curtain are obtained, as well as the maximum vibration frequency and maximum vibration amplitude during the operation of the curtain. The average vibration frequency, average vibration amplitude, maximum vibration frequency, and maximum vibration amplitude are numerically calculated to obtain the curtain shaking data. The average noise intensity data generated during the curtain raising or lowering process is obtained, and the average noise intensity data and curtain shaking data are numerically calculated to obtain the operation anomaly coefficient.

[0025] Furthermore, the processor communicates with the control display module and the corresponding user's smart terminal. The processor sends intelligent control signals, stability pass signals or stability fail signals, and first-level or second-level operation warning signals to the control display module and the corresponding user's smart terminal, and the control display module and the corresponding user's smart terminal display the corresponding signal information. The processor also communicates with the light reminder module. When the processor receives a stability fail signal, it issues a green light command and sends the green light command to the light reminder module, which then flashes green light briefly.

[0026] Upon receiving a Level 1 or Level 2 operational warning signal, the processor generates a blue light command and sends it to the lighting reminder module. The lighting reminder module briefly flashes blue upon receiving the command. Upon receiving an intelligent control signal, the processor generates a red light command and sends it to the lighting reminder module. The lighting reminder module flashes red upon receiving the command. In automatic control mode, if the red light flashing duration reaches tq and the user does not perform a corresponding operation, the processor sends a start command to move the curtain and block the window.

[0027] Furthermore, the rope guide and protection assembly includes an outer ring fixedly installed at the bottom of the upper mounting base, an inner guide ring inside the outer ring, and the inner guide ring and the outer ring are connected by multiple sets of compression anti-sway mechanisms. Multiple sets of drag-reducing balls are rolled on the inner circumferential surface of the inner guide ring, and the curtain winding rope passes through the inner guide ring and contacts the drag-reducing balls.

[0028] Furthermore, the compression anti-sway mechanism includes a mounting rod fixedly disposed on the outer circumferential surface of the inner guide ring and a limiting groove opened in the outer ring. A limiting movable block is slidably disposed in the limiting groove. The end of the mounting rod away from the inner guide ring is inserted into the corresponding limiting groove and fixedly connected to the limiting movable block. The end of the limiting movable block facing away from the corresponding mounting rod is fixedly connected to the connecting spring.

[0029] The processing method of this intelligent multifunctional honeycomb curtain includes the following steps:

[0030] Step 1: Customize honeycomb blind products based on the vehicle model information provided by the corresponding customer, and calculate the aluminum alloy profile dimensions according to the vehicle model;

[0031] Step 2: Cut the aluminum alloy profile to obtain profile parts of the required shape and size;

[0032] Step 3: Process the honeycomb fabric. Process the honeycomb fabric into the required size and shape. The color and light-blocking effect of the honeycomb curtain fabric are selected by the customer from the color card.

[0033] Step 4: Assembly: Assemble the finished honeycomb fabric with the finished profile components;

[0034] Step 5: Inspection: Conduct quality inspection on the assembled honeycomb curtain;

[0035] Step 6: Pack the honeycomb curtains that have passed the inspection.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] 1. In this invention, the user controls the curtain by operating the display module and the corresponding smart terminal. The rope winding and unwinding mechanism raises or lowers the movable plate to realize the winding or unwinding of the curtain. The honeycomb curtain does not need to be manually pulled to wind or unwind, which is convenient to use and has a high level of intelligence. In addition, the rope guide and protection component guides the winding and unwinding process of the curtain rope, which helps to reduce the wear and sway of the rope, improves the stability of the winding and unwinding process, and also helps to prevent the rope from breaking due to continuous wear.

[0038] 2. In this invention, the intelligent control feedback module analyzes the impact of the external environment when the curtain does not cover the window and determines whether to generate an intelligent control signal. When an intelligent control signal is generated, the processor sends the intelligent control signal to the control display module and the corresponding user's smart terminal. After receiving the corresponding signal display information, the corresponding user moves the curtain and covers the window as needed, which serves as a reminder and warning. This helps the corresponding user to lower the curtain in time to reduce the adverse effects of the external environment on the indoor environment, making it more intelligent.

[0039] 3. In this invention, the curtain retraction and extension stability analysis module analyzes the curtain retraction and extension speed at the end of the curtain retraction or extension process, and the curtain operation performance evaluation module evaluates and analyzes the curtain operation at the end of the curtain retraction or extension process. Based on multivariate data analysis, the operating status of the curtain retraction or extension process is accurately evaluated and judged. It has a fault and anomaly prediction function and plays an anomaly early warning role. It can promptly remind the corresponding users to investigate the cause and repair or replace the corresponding honeycomb curtain components, ensuring the normal and stable application of the corresponding honeycomb curtain in the future. The level of intelligence and functional diversity are significantly improved. Attached Figure Description

[0040] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0041] Figure 1 This is a schematic diagram of the overall structure of the present invention;

[0042] Figure 2 This is a schematic diagram of the rope winding and unwinding mechanism in this invention;

[0043] Figure 3 This is an overall system block diagram of the present invention;

[0044] Figure 4 This is a signal feedback block diagram of the present invention;

[0045] Figure 5 This is a bottom view of the rope-guided protection component in this invention;

[0046] Figure 6 for Figure 5 Enlarged view of the anti-sway mechanism under compression;

[0047] Figure 7 This is a flowchart of the processing method of the present invention.

[0048] Reference numerals: 1. Upper mounting base; 2. Lower mounting base; 3. Side track plate; 4. Rope winding and unwinding mechanism; 5. Movable plate; 6. Fixed plate; 7. Curtain winding and unwinding rope; 8. Rope guide and protection assembly; 41. Drive motor; 42. Lateral rotation shaft; 43. Rope winding roller; 44. Drive storage chamber; 81. Outer ring; 82. Inner guide ring; 83. Drag-reducing ball bearing; 84. Extrusion anti-sway mechanism; 841. Limiting groove; 842. Connecting spring; 843. Limiting movable block; 844. Mounting rod. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0050] Example 1:

[0051] like Figure 1-4 As shown, the present invention proposes an intelligent multifunctional honeycomb curtain, including an upper mounting base 1, a lower mounting base 2, and a processor. The upper mounting base 1 is located above the lower mounting base 2, and two sets of lateral track plates 3 are fixedly arranged between the upper mounting base 1 and the lower mounting base 2. A movable plate 5 and a fixed plate 6 are horizontally arranged between the two sets of lateral track plates 3. The movable plate 5 is located below the fixed plate 6, and the curtain body of the honeycomb curtain is installed between the movable plate 5 and the fixed plate 6. The upper mounting base 1 is provided with a rope winding mechanism 4. The rope winding mechanism 4 includes a drive storage chamber 44 opened in the upper mounting base 1. A drive motor 41 is fixedly arranged in the drive storage chamber 44 through a motor base. A transverse rotating shaft 42 is installed at the output end of the drive motor 41. The drive motor 41 is used to drive the transverse rotating shaft 42. The end of the transverse rotating shaft 42 away from the drive motor 41 is rotatably connected to the inner wall of the upper mounting base 1 through a bearing, and rope winding rollers 43 are fixedly arranged on the outer circumferential surfaces of both ends of the transverse rotating shaft 42.

[0052] The movable plate 5 and the rope winding roller 43 are connected by the curtain winding rope 7, which passes through the fixed plate 6 and the honeycomb curtain. The processor is communicatively connected to the data storage module, the intelligent control feedback module, the curtain winding stability analysis module, and the curtain operation performance evaluation module. The processor controls the rope winding mechanism 4 to control the winding and unwinding of the rope. The processor is communicatively connected to the control display module and the corresponding user's smart terminal, and is also communicatively connected to the light reminder module. The control display module and the light reminder module are installed on the interior wall of the corresponding window. The corresponding user can control the curtain through the control display module and the corresponding smart terminal, which is convenient for winding and unwinding the curtain. The system is highly intelligent, has multiple functions, and is easy to use. Preferably, the control display module is a touch screen.

[0053] When the curtain does not cover the window, the intelligent control feedback module will perform an impact analysis on the external environment. Based on the results of the impact analysis, it will determine whether to generate an intelligent control signal. The specific operation process of the intelligent control feedback module is as follows:

[0054] The system acquires external ultraviolet (UV) intensity, light intensity, and temperature data. The UV intensity and light intensity data are labeled ZQ and GQ, respectively. A preset suitable temperature range is retrieved through the data storage module. The average of the maximum and minimum values ​​within this range is calculated to obtain temperature scale data. The difference between the temperature data and the temperature scale data is calculated, and the absolute value is taken to obtain temperature impact data, which is labeled WY. The higher the values ​​of the external UV intensity, light intensity, and temperature impact data, the greater the adverse impact of the external environment on the indoor environment, and the more necessary it is to use honeycomb blinds to shield the windows.

[0055] The external impact value WXZ was obtained by numerically calculating the value using the formula WXZ = ht1*ZQ + ht2*GQ + ht3*WY, which includes ultraviolet radiation intensity data ZQ, light intensity data GQ, and temperature impact data WY. Here, ht1, ht2, and ht3 are preset weighting coefficients, all of which are greater than zero, and ht1 + ht2 + ht3 = 5.627. It should be noted that the larger the external impact value WXZ, the greater the adverse impact of the current external environment on indoor occupants.

[0056] The system retrieves a preset external influence threshold from the data storage module and compares the external influence value WXZ with the threshold. If the external influence value WXZ is greater than or equal to the preset threshold, it indicates that the current external environment has a significant adverse impact on the people inside the room, and the window needs to be covered by the honeycomb blind. In this case, an intelligent control signal is generated. If the external influence value WXZ is less than the preset threshold, it indicates that the current external environment has a minor adverse impact on the people inside the room, and the window does not need to be covered by the honeycomb blind. In this case, no intelligent control signal is generated.

[0057] The intelligent control feedback module determines whether to generate an intelligent control signal through influence analysis. When an intelligent control signal is generated, it is sent to the processor. The processor then sends the intelligent control signal to the control display module and the corresponding user's smart terminal. The control display module and the corresponding user's smart terminal display the corresponding signal information. Upon receiving the corresponding signal display information, the user moves the curtain and blocks the window as needed. Furthermore, upon receiving the intelligent control signal, the processor generates a red light command and sends it to the light reminder module. Upon receiving the red light command, the light reminder module flashes red light to serve as a reminder. In automatic control mode, if the light reminder module flashes red light for a duration of tq without the user taking corresponding action, the processor sends a start command to move the curtain and block the window, demonstrating a high level of intelligence.

[0058] The curtain raising and lowering stability analysis module analyzes the curtain raising and lowering speed at the end of the curtain raising or lowering process and generates a stability pass signal or a stability fail signal. The specific operation process of the curtain raising and lowering stability analysis module is as follows:

[0059] The initial and final positions of the lower end of the curtain are obtained during the current curtain raising or lowering process. The distance between the initial and final positions is marked as the curtain movement distance value YJ. The start and end times of the curtain movement are also obtained during the current curtain raising or lowering process. The difference between the end and start times is calculated to obtain the raising / lowering time value SC.

[0060] The ratio is calculated by substituting the current curtain movement distance value YJ and the opening / closing time value SC into the ratio formula SB=YJ / SC. The ratio structure is marked as the curtain speed performance value SB. The preset speed performance range is retrieved through the data storage module, and the curtain speed performance value SB is compared with the preset speed performance range. If the curtain speed performance value SB is not within the preset speed performance range, a stability failure signal is generated.

[0061] If the curtain speed performance value SB is within the preset speed performance range, then several analysis time points are set and marked as o during the current curtain operation, o = 1, 2, ..., k, where k represents the number of analysis time points and k is a positive integer greater than 1; the real-time movement speed of the curtain at the corresponding analysis time point o is obtained, the difference between the real-time movement speeds of two adjacent sets of analysis time points is calculated and the absolute value is taken to obtain the speed adjacent difference coefficient, and finally k-1 sets of speed adjacent difference coefficients are obtained; a rectangular coordinate system located in the first quadrant is established with time as the X-axis and speed adjacent difference coefficient as the Y-axis, all speed adjacent difference coefficients for the current operation are obtained, and all speed adjacent difference coefficients are marked into the rectangular coordinate system in chronological order to generate k-1 speed adjacent difference coordinate points in the corresponding rectangular coordinate system;

[0062] The velocity adjacent coordinate points with the largest and smallest Y-axis coordinate values ​​are obtained, and the Y-axis distance between the two sets of velocity adjacent coordinate points is marked as the velocity amplitude value DB. A ray parallel to the X-axis is drawn in the rectangular coordinate system with (0, LB) as the endpoint, and the velocity adjacent difference determination ray is marked. The velocity adjacent coordinate points above the velocity adjacent difference determination ray are marked as unstable coordinate points, and the velocity adjacent coordinate points below the velocity adjacent difference determination ray are marked as stable coordinate points. The velocity anomaly coefficient SY is obtained by calculating the ratio of the number of unstable coordinate points FW to the number of stable coordinate points WD using the ratio formula SY=FW / (WD+β), where β is a preset correction factor and the value of β is 0.864.

[0063] Through formula The speed anomaly coefficient SY and the speed wave amplitude value DB are substituted into the data for numerical calculation. The curtain speed fluctuation value SD is obtained through numerical calculation. Among them, ft1 and ft2 are preset proportional coefficients. The values ​​of ft1 and ft2 are both greater than zero and ft1 > ft2. It should be noted that the value of the curtain speed fluctuation value SD is directly proportional to both the speed anomaly coefficient SY and the speed wave amplitude value DB. The larger the value of the curtain speed fluctuation value SD, the more unstable the curtain movement is during the curtain raising or lowering process, and the greater the possibility of an anomaly.

[0064] The preset curtain speed fluctuation threshold is retrieved through the data storage module. The curtain speed fluctuation value SD is compared with the preset curtain speed fluctuation threshold. If the curtain speed fluctuation value SD is greater than or equal to the preset curtain speed fluctuation threshold, a stability failure signal is generated. If the curtain speed fluctuation value SD is less than the preset curtain speed fluctuation threshold, a stability success signal is generated.

[0065] The stability analysis module for the retraction and extension of the curtain sends a pass / fail signal or a fail / fail signal to the control display module and the corresponding user's smart terminal via the processor. The control display module and the corresponding user's smart terminal display the corresponding signal information. When the processor receives a fail / fail signal, it issues a green light command and sends the green light command to the light reminder module. The light reminder module flashes green light briefly to remind the corresponding user to check the cause and repair the corresponding components of the honeycomb curtain.

[0066] The curtain operation performance evaluation module performs a curtain operation evaluation analysis at the end of the curtain raising or lowering process. Based on the evaluation analysis results, it generates a first-level warning signal, a second-level warning signal, or no warning signal, and sends the first-level or second-level warning signal to the processor. The specific operation process of the curtain operation performance evaluation module is as follows:

[0067] The system obtains the start and end command times during the current curtain raising or lowering process. It calculates the difference between the curtain's start time and the start command time to obtain the start response value QF, and calculates the difference between the curtain's end time and the end command time to obtain the braking response value ZF. The system then uses the operation agility analysis formula MJX = a1*QF + a2*ZF, substituting the braking response value ZF and the start response value QF into the calculation to obtain the operation agility coefficient MJX. Here, a1 and a2 are preset proportional coefficients, both greater than zero, and a1 + a2 = 3.265.

[0068] The average vibration frequency and average vibration amplitude during the operation of the curtain are obtained and labeled as PL and FD, respectively. The maximum vibration frequency and maximum vibration amplitude during the operation of the curtain are also obtained and labeled as LG and FG, respectively. The results are then analyzed using the formula... The average vibration frequency PL, average vibration amplitude FD, maximum vibration frequency LG, and maximum vibration amplitude FG were substituted into the data for numerical calculation. After numerical calculation, the curtain shaking data DJ was obtained.

[0069] Wherein, b1, b2, b3, and b4 are preset proportional coefficients, and the values ​​of b1, b2, b3, and b4 are all greater than zero. It should be noted that the larger the value of the curtain shaking data DJ, the more severe the shaking of the curtain during the current operation. The average noise intensity data ZS generated during the current curtain raising or lowering process is obtained. The average noise intensity data ZS and the curtain shaking data DJ are substituted into the formula CYX = pu1*ZS + pu2*DJ to obtain the operational anomaly coefficient CYX. Wherein, pu1 and pu2 are preset weighting coefficients, and the values ​​of pu1 and pu2 are both greater than zero, with pu1 > pu2. The larger the value of the operational anomaly coefficient CYX, the greater the possibility of anomalies in the operation of the corresponding honeycomb curtain.

[0070] The system retrieves the preset operation agility coefficient threshold and the preset operation anomaly coefficient threshold from the data storage module. It then compares the operation agility coefficient MJX and the operation anomaly coefficient CYX with the preset operation agility coefficient threshold and the preset operation anomaly coefficient threshold, respectively. If both the operation agility coefficient MJX and the operation anomaly coefficient CYX are less than the corresponding threshold, no operation warning signal is generated. If both the operation agility coefficient MJX and the operation anomaly coefficient CYX are greater than or equal to the corresponding threshold, a first-level operation warning signal is generated. Otherwise, a second-level operation warning signal is generated.

[0071] The processor sends a primary or secondary operational warning signal to the control display module and the corresponding user's smart terminal, which then display the relevant signal information. Upon receiving the primary or secondary operational warning signal, the processor generates a blue light command and sends it to the light reminder module. When the light reminder module receives the blue light command, it briefly flashes blue light to remind the user to troubleshoot the cause and repair the corresponding components of the honeycomb curtain, and replace the relevant components of the honeycomb curtain as needed. It has a fault and anomaly prediction function and plays an anomaly warning role, ensuring the normal and stable application of the corresponding honeycomb curtain in the future. The level of intelligence and functional diversity are significantly improved.

[0072] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0073] Example 2:

[0074] like Figure 1-2 and Figure 5-6 As shown, the difference between this embodiment and embodiment 1 is that a rope guide and protection component 8 is installed at the bottom of the upper mounting base 1. The curtain retraction rope 7 passes through the corresponding rope guide and protection component 8. Specifically, the rope guide and protection component 8 includes an outer ring 81, which is fixedly installed at the bottom of the upper mounting base 1 by bolts. An inner guide ring 82 is provided inside the outer ring 81. The inner guide ring 82 and the outer ring 81 are connected by multiple sets of compression anti-sway mechanisms 84. Multiple sets of drag-reducing balls 83 are rolled on the inner circumferential surface of the inner guide ring 82. The curtain retraction rope 7 passes through the inner guide ring 82 and contacts the drag-reducing balls 83. During the curtain retraction or release process, the curtain retraction rope 7 moves. The drag-reducing balls 83 roll, which can effectively reduce the damage to the curtain retraction rope 7 caused by friction and scratching, effectively prevent the curtain retraction rope 7 from breaking due to wear, and improve the service life of the curtain retraction rope 7.

[0075] Specifically, the compression anti-sway mechanism 84 includes a mounting rod 844, a limiting groove 841 inside the outer ring 81, one end of the mounting rod 844 being fixedly mounted on the outer circumferential surface of the inner guide ring 82, and a limiting movable block 843 slidingly mounted inside the limiting groove 841, limiting the limiting movable block 843. The end of the mounting rod 844 away from the inner guide ring 82 is inserted into the corresponding limiting groove 841 and fixedly connected to the limiting movable block 843, and the end of the limiting movable block 843 facing away from the corresponding mounting rod 844 is fixedly connected to the connecting spring 842. During the curtain raising or lowering process, the inner guide ring 82 guides the raising and lowering process of the curtain rope 7, which helps to reduce the wear and sway of the rope. Furthermore, the compression anti-sway mechanism 84 helps to further reduce the sway of the rope, improve the stability of the curtain raising and lowering process, and facilitates use.

[0076] In use, the user controls the curtain through the control display module and the corresponding smart terminal. When the curtain needs to be raised or lowered, the processor sends the corresponding control command to the rope raising and lowering mechanism 4. The drive motor 41 in the rope raising and lowering mechanism 4 starts to rotate the transverse rotating shaft 42. The two sets of rope winding rollers 43 rotate accordingly to raise and lower the curtain raising and lowering rope 7, thereby raising or lowering the movable plate 5 to realize the raising or lowering of the curtain. The honeycomb curtain does not need to be raised or lowered by manual pulling force, which is convenient to use and has a high level of intelligence. In addition, during the raising or lowering of the curtain, the rope guiding and protective component 8 guides the raising and lowering process of the curtain raising and lowering rope 7, which helps to reduce the wear and shaking of the rope, improves the stability of the raising and lowering process, and also helps to prevent the rope from breaking due to continuous wear.

[0077] Furthermore, the intelligent control feedback module analyzes the impact of the external environment when the curtain does not cover the window. Based on the impact analysis results, it determines whether to generate an intelligent control signal. When an intelligent control signal is generated, the processor sends the intelligent control signal to the control display module and the corresponding user's smart terminal. After receiving the corresponding signal display information, the corresponding user moves the curtain and covers the window as needed, which serves as a reminder and warning. This helps the corresponding user to lower the curtain in time to reduce the adverse effects of the external environment on the indoor environment.

[0078] Furthermore, the curtain retraction and extension stability analysis module analyzes the curtain retraction and extension speed at the end of the curtain retraction or extension process, generates a stability pass signal or a stability fail signal, and sends it to the control display module and the corresponding user's smart terminal via the processor. The curtain operation performance evaluation module evaluates and analyzes the curtain operation at the end of the curtain retraction or extension process, and generates a first-level warning signal, a second-level warning signal, or no warning signal based on the evaluation and analysis results. Based on multivariate data analysis, it accurately evaluates and judges the operation status of the curtain retraction or extension process, has a fault and anomaly prediction function, and plays an anomaly warning role. It can promptly remind the corresponding user to investigate the cause and repair the corresponding honeycomb curtain components, and replace the relevant honeycomb curtain components as needed, ensuring the normal and stable application of the corresponding honeycomb curtain in the future. The level of intelligence and functional diversity are significantly improved.

[0079] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to specific implementations. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A smart multifunctional honeycomb blind, comprising an upper mounting base (1), a lower mounting base (2), and a processor, wherein the upper mounting base (1) is located above the lower mounting base (2), and two sets of lateral track plates (3) are fixedly arranged between the upper mounting base (1) and the lower mounting base (2), characterized in that, A movable plate (5) and a fixed plate (6) are horizontally arranged between the two sets of side track plates (3). The movable plate (5) is located below the fixed plate (6), and a honeycomb curtain is installed between the movable plate (5) and the fixed plate (6). A rope winding mechanism (4) is provided in the upper mounting base (1). The rope winding mechanism (4) includes a drive storage chamber (44) opened in the upper mounting base (1). A drive motor (41) is fixedly installed in the drive storage chamber (44) through a motor seat. A transverse rotating shaft (42) is installed at the output end of the drive motor (41), and rope winding rollers (43) are fixedly installed on the outer circumference of both ends of the transverse rotating shaft (42). The movable plate (5) is connected to the rope winding roller (43) through the curtain winding rope (7), and the curtain winding rope (7) passes through the fixed plate (6) and the honeycomb curtain. The bottom of the upper mounting base (1) is equipped with a rope guide and protection component (8) for the curtain winding rope (7) to pass through. The processor is connected to the data storage module, the intelligent control feedback module, the curtain winding stability analysis module and the curtain operation performance evaluation module. The intelligent control feedback module is used to analyze the impact of the external environment when the curtain does not cover the window, and determine whether to generate an intelligent control signal based on the impact analysis results. When an intelligent control signal is generated, the intelligent control signal is sent to the processor. The curtain retraction and expansion stability analysis module is used to analyze the curtain retraction and expansion speed at the end of the curtain retraction or expansion process and generate a stability qualified signal or a stability unqualified signal, and send the stability qualified signal or stability unqualified signal to the processor. The curtain operation performance evaluation module is used to evaluate and analyze the curtain operation at the end of the curtain raising or lowering process. Based on the evaluation and analysis results, it generates a first-level warning signal, a second-level warning signal, or no warning signal, and sends the first-level warning signal or the second-level warning signal to the processor. The rope guide and protection assembly (8) includes an outer ring (81) fixedly installed at the bottom of the upper mounting base (1). An inner guide ring (82) is provided inside the outer ring (81). The inner guide ring (82) and the outer ring (81) are connected by multiple sets of compression anti-sway mechanisms (84). Multiple sets of drag-reducing balls (83) are rolled on the inner circumferential surface of the inner guide ring (82). The curtain winding rope (7) passes through the inner guide ring (82) and contacts the drag-reducing balls (83). The compression anti-sway mechanism (84) includes a mounting rod (844) fixedly disposed on the outer circumferential surface of the inner guide ring (82) and a limiting groove (841) opened in the outer ring (81). A limiting movable block (843) is slidably disposed in the limiting groove (841). One end of the mounting rod (844) away from the inner guide ring (82) is inserted into the corresponding limiting groove (841) and fixedly connected to the limiting movable block (843). The end of the limiting movable block (843) facing away from the corresponding mounting rod (844) is fixedly connected to the connecting spring (842).

2. The intelligent multifunctional honeycomb curtain according to claim 1, characterized in that, The specific operation process of the intelligent control feedback module includes: The system acquires external ultraviolet intensity data, light intensity data, and temperature data. It retrieves a preset suitable temperature range through the data storage module, calculates the average of the maximum and minimum values ​​within the preset suitable temperature range to obtain temperature scale data, and calculates the difference between the temperature data and the temperature scale data and takes the absolute value to obtain temperature influence data. The external influence value is obtained by numerically calculating the ultraviolet intensity data, light intensity data, and temperature influence data. The preset external influence threshold is retrieved through the data storage module. The external influence value is compared with the external influence threshold. If the external influence value is greater than or equal to the preset external influence threshold, an intelligent control signal is generated. If the external influence value is less than the preset external influence threshold, no intelligent control signal is generated.

3. The intelligent multifunctional honeycomb curtain according to claim 1, characterized in that, The specific operation process of the curtain retraction and extension stability analysis module includes: The system acquires the initial and final positions of the lower end of the curtain during the current curtain raising or lowering process, marks the distance between the initial and final positions as the curtain movement distance value, and acquires the start and end times of the curtain movement during the current curtain raising or lowering process. The difference between the end and start times is calculated to obtain the raising / lowering time value, and the ratio of the current curtain movement distance value to the raising / lowering time value is calculated to obtain the curtain speed performance value. The system retrieves a preset speed performance range through the data storage module and compares the curtain speed performance value with the preset speed performance range. If the curtain speed performance value is not within the preset speed performance range, a stability failure signal is generated. If the curtain speed performance value is within the preset operating speed range, the curtain speed fluctuation value is obtained through curtain speed deviation analysis. The preset curtain speed fluctuation threshold is retrieved through the data storage module, and the curtain speed fluctuation value is compared with the preset curtain speed fluctuation threshold. If the curtain speed fluctuation value is greater than or equal to the preset curtain speed fluctuation threshold, a stability failure signal is generated. If the curtain speed fluctuation value is less than the preset curtain speed fluctuation threshold, a stability success signal is generated.

4. The intelligent multifunctional honeycomb curtain according to claim 3, characterized in that, The specific analysis process for the curtain velocity deviation analysis is as follows: During the current operation of the curtain, several analysis time points are set and marked as o, o = 1, 2, ..., k, where k represents the number of analysis time points and k is a positive integer greater than 1; the real-time movement speed of the curtain at the corresponding analysis time point o is obtained; the difference between the real-time movement speeds of two adjacent sets of analysis time points is calculated and the absolute value is taken to obtain the speed adjacent difference coefficient, and finally k-1 sets of speed adjacent difference coefficients are obtained; a rectangular coordinate system located in the first quadrant is established with time as the X-axis and speed adjacent difference coefficient as the Y-axis; all speed adjacent difference coefficients for the current operation are obtained; all speed adjacent difference coefficients are marked into the rectangular coordinate system in chronological order to generate k-1 speed adjacent difference coordinate points in the corresponding rectangular coordinate system; Obtain the velocity adjacent coordinate point with the largest Y-axis coordinate value and the velocity adjacent coordinate point with the smallest Y-axis coordinate value. Mark the Y-axis distance between the two sets of velocity adjacent coordinate points as the velocity amplitude value. Draw a ray parallel to the X-axis in the rectangular coordinate system with (0, LB) as the endpoint and mark it as the velocity adjacent difference determination ray. Mark the velocity adjacent coordinate points above the velocity adjacent difference determination ray as unstable coordinate points and the velocity adjacent coordinate points below the velocity adjacent difference determination ray as stable coordinate points. Calculate the ratio of the number of unstable coordinate points to the number of stable coordinate points to obtain the velocity anomaly coefficient. Numerically calculate the velocity anomaly coefficient and the velocity amplitude value to obtain the curtain velocity fluctuation value.

5. The intelligent multifunctional honeycomb curtain according to claim 1, characterized in that, The specific operation process of the curtain performance evaluation module includes: The operation agility coefficient is obtained through curtain operation response agility analysis, and the operation anomaly coefficient is obtained through curtain operation anomaly analysis. The preset operation agility coefficient threshold and preset operation anomaly coefficient threshold are retrieved through the data storage module. The operation agility coefficient and operation anomaly coefficient are compared with the preset operation agility coefficient threshold and preset operation anomaly coefficient threshold respectively. If the operation agility coefficient and operation anomaly coefficient are both less than the corresponding threshold, no operation warning signal is generated. If the operation agility coefficient and operation anomaly coefficient are both greater than or equal to the corresponding threshold, a first-level operation warning signal is generated. In other cases, a second-level operation warning signal is generated.

6. The intelligent multifunctional honeycomb curtain according to claim 5, characterized in that, The specific analysis process for the curtain's operational responsiveness is as follows: The system obtains the start and end command times during the current curtain raising or lowering process. It calculates the difference between the start time of the curtain movement and the start command time to obtain the start response value, calculates the difference between the end time of the curtain movement and the end command time to obtain the braking response value, and performs numerical calculations on the braking response value and the start response value to obtain the operation agility coefficient. The specific analysis process for abnormal curtain operation is as follows: The average vibration frequency and average vibration amplitude during the operation of the curtain are obtained, as well as the maximum vibration frequency and maximum vibration amplitude during the operation of the curtain. The average vibration frequency, average vibration amplitude, maximum vibration frequency, and maximum vibration amplitude are numerically calculated to obtain the curtain shaking data. The average noise intensity data generated during the curtain raising or lowering process is obtained, and the average noise intensity data and curtain shaking data are numerically calculated to obtain the operation anomaly coefficient.

7. The intelligent multifunctional honeycomb curtain according to claim 1, characterized in that, The processor communicates with the control display module and the corresponding user's smart terminal. The processor sends intelligent control signals, stability qualified signals or stability unqualified signals, and first-level or second-level operation warning signals to the control display module and the corresponding user's smart terminal. The control display module and the corresponding user's smart terminal display the corresponding signal information. The processor also communicates with the light reminder module. When the processor receives a stability unqualified signal, it issues a green light command and sends the green light command to the light reminder module, which briefly flashes green light. Upon receiving a Level 1 or Level 2 operational warning signal, the processor generates a blue light command and sends it to the lighting reminder module. The lighting reminder module briefly flashes blue upon receiving the command. Upon receiving an intelligent control signal, the processor generates a red light command and sends it to the lighting reminder module. The lighting reminder module flashes red upon receiving the command. In automatic control mode, if the red light flashing duration reaches tq and the user does not perform a corresponding operation, the processor sends a start command to move the curtain and block the window.

8. A processing method for the intelligent multifunctional honeycomb curtain as described in claim 1, characterized in that, Includes the following steps: Step 1: Customize honeycomb blind products based on the vehicle model information provided by the corresponding customer, and calculate the aluminum alloy profile dimensions according to the vehicle model; Step 2: Cut the aluminum alloy profile to obtain profile parts of the required shape and size; Step 3: Process the honeycomb fabric. Process the honeycomb fabric into the required size and shape. The color and light-blocking effect of the honeycomb curtain fabric are selected by the customer from the color card. Step 4: Assembly: Assemble the finished honeycomb fabric with the finished profile components; Step 5: Inspection: Conduct quality inspection on the assembled honeycomb curtain; Step 6: Pack the honeycomb curtains that have passed the inspection.

Citation Information

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