A knob controller and intelligent control system suitable for smart home

Abstract

The present invention relates to the technical field of knob controllers, and in particular to a knob controller and an intelligent control system suitable for smart homes, comprising a device housing, a front surface of the device housing internally rotatably connected to a rotary knob, and a front surface of the rotary knob internally fixedly connected to a display panel; the present invention improves the control effect of the device through system and mechanical coordination, that is, under the premise of coaxial rotation, the sealing sleeve seals and wraps the rubber sleeve, and the self-locking plate reinforces the positioning screws inserted into the positioning plate to improve the overall stability of the device, so that with the coordination of mechanical parts, the effect of improving the stability of the rubber sleeve and the effect of improving the overall stability of the device can be achieved, and the working data of the normally operating device is collected and the control efficiency evaluation and analysis is performed through information feedback, so as to timely optimize the internal control system of the device, which helps to improve the control efficiency of the device.

Description

Technical Field

[0001] The present invention relates to the technical field of knob controllers, and in particular to a knob controller and an intelligent control system suitable for smart homes. Background Art

[0002] With the rapid development of science and technology, home intelligence has entered homes and offices, providing many conveniences for people's daily lives. Electrical appliances in homes or offices are connected to smart home control devices through the Internet, and the electronic screen of smart home control devices can be used to control the start, shutdown and operation mode of various electrical appliances.

[0003] More and more smart homes are entering people's lives. For the convenience of control, manual switches are often used in smart homes. However, when using existing devices, they are easily affected by the environment, which shortens the service life of the electrical components inside the devices. At the same time, the stability and control effect of the devices are reduced due to environmental influences. In addition, it is impossible to conduct supervision and early warning on existing devices, affecting the normal operation of the devices, and it is impossible to conduct in-depth supervision on existing devices, which is not conducive to the optimization management of the devices and affects the control efficiency and accuracy of the devices.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a knob controller and an intelligent control system suitable for smart home to solve the technical defects mentioned above. The present invention improves the control effect of the equipment through the cooperation of the system and machinery, that is, under the premise of coaxial rotation, the sealing sleeve seals and wraps the rubber sleeve, and the self-locking plate reinforces the positioning screws inserted into the positioning plate to improve the overall stability of the equipment. Therefore, with the cooperation of mechanical components, it can not only achieve the effect of improving the stability of the rubber sleeve, but also achieve the effect of improving the overall stability of the equipment. Through information feedback, the working data of the normally operating equipment is collected and the control efficiency is evaluated and analyzed to determine whether the control effect of the equipment meets the standard, so as to timely optimize the internal control system of the equipment, which is helpful to improve the control efficiency of the equipment, and conduct in-depth trend change analysis on the qualified equipment, so as to timely solve the problem of potential control failure risk, so as to ensure the control effect and accuracy of subsequent equipment.

[0006] The object of the present invention can be achieved through the following technical solutions: a knob controller suitable for smart home, comprising a device housing, a rotating knob is rotatably connected to the interior of the front surface of the device housing, and a display panel is fixedly connected to the interior of the front surface of the rotating knob, a positioning plate is fixedly connected to the upper and lower surfaces of the device housing, a guide plate is fixedly connected to the upper surface of the device housing, a rubber wire sleeve is inserted into the interior of the guide plate, a servo motor is fixedly connected to the interior of the device housing, a transmission worm is transmission-connected to the interior of one side of the servo motor, a positioning worm is transmission-connected to the end of the transmission worm away from the servo motor, a concentric shaft is fixedly inserted into the interior of the positioning worm, a limiting sleeve is symmetrically fixedly connected to the exterior of the concentric shaft, a crank connecting rod is rotatably connected to the end of the limit sleeve away from the concentric shaft, an extrusion piston rod is rotatably connected to the end of the crank connecting rod away from the concentric shaft, a hollow box is sleeved on the exterior of the extrusion piston rod away from the crank connecting rod, and an air guide tube is fixedly connected to the upper surface of the hollow box;

[0007] A crank push rod is symmetrically and fixedly sleeved on the outside of the coaxial shaft, and a self-locking plate is movably connected to one end of the crank push rod away from the coaxial shaft.

[0008] Preferably, one side of the hollow box is fixedly connected to the inner wall of the device casing, both ends of the concentric axis are rotatably connected to the inner wall of the device casing, the interior of the guide plate is located outside the rubber wire sleeve and is fixedly connected to a sealing sleeve, and the outer surface of the sealing sleeve is fixedly connected to the air duct, and a guide groove matching the self-locking plate is provided inside the device casing.

[0009] An intelligent control system for a knob controller suitable for a smart home, wherein a control platform is arranged inside the display panel, and a server, an operation risk unit, an optimization analysis unit, an early warning unit and an impact analysis unit are arranged inside the control platform;

[0010] When the server generates a supervision instruction, it sends the supervision instruction to the operation risk unit. After receiving the supervision instruction, the operation risk unit immediately collects the operation data of the equipment, including the fault risk value of the internal electrical components and the reactive power value of the line, and performs operation safety supervision evaluation and analysis on the operation data, sends the obtained normal signal to the optimization analysis unit, and sends the obtained abnormal signal to the early warning unit;

[0011] After receiving the normal signal, the optimization analysis unit immediately collects the working data of the equipment, including the information delay value, environmental interference value and risk multiple value, and performs control efficiency evaluation analysis and formula comparison analysis on the working data, and sends the obtained feedback signal to the impact analysis unit, and sends the obtained optimization signal to the early warning unit;

[0012] After receiving the feedback signal, the impact analysis unit immediately collects the historical control performance evaluation coefficient of the equipment, conducts in-depth trend change analysis, and sends the obtained potential risk signal to the early warning unit.

[0013] Preferably, the operation safety supervision assessment and analysis process of the operation risk unit is as follows:

[0014] Step 1: Collect the duration from the start time to the end time of the equipment operation, and mark it as the time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, obtain the fault risk value of the electrical components inside the equipment in each sub-time period, the fault risk value represents the sum of the operating temperature change value and the operating current change value of the electrical components in the sub-time period after data normalization, and compare and analyze the fault risk value with the preset fault risk value threshold. If the fault risk value is greater than the preset fault risk value threshold, then the ratio of the total number of sub-time periods corresponding to the fault risk value greater than the preset fault risk value threshold to the total number of sub-time periods is marked as the out-of-control risk value;

[0015] Step 2: Obtain the line reactive power value inside the device in each sub-time period, thereby obtaining the maximum and minimum values ​​of the line reactive power value inside the device in the sub-time period, and then obtain the difference between the maximum and minimum values ​​of the line reactive power value inside the device in the sub-time period, and mark the difference between the maximum and minimum values ​​of the line reactive power value inside the device in the sub-time period as the reactive span risk value;

[0016] Step 3: Compare and analyze the out-of-control risk value and reactive span risk value with the preset out-of-control risk value threshold and preset reactive span risk value threshold that are stored internally:

[0017] If the out-of-control risk value is less than or equal to the preset out-of-control risk value threshold, and the reactive span risk value is less than or equal to the preset reactive span risk value threshold, a normal signal is generated;

[0018] If the out-of-control risk value is greater than the preset out-of-control risk value threshold, or the reactive power span risk value is greater than the preset reactive power span risk value threshold, an abnormal signal is generated.

[0019] Preferably, the control efficiency evaluation and analysis process of the optimization analysis unit is as follows:

[0020] SS: Get the information delay value of the device within the time threshold. The information delay value indicates the ratio of the portion of the time between the time when the instruction is issued and the time when the instruction is correctly executed that exceeds the preset standard time to the preset standard time. At the same time, compare and analyze the information delay value with the preset information delay value threshold. If the information delay value is greater than the preset information delay value threshold, the portion of the information delay value greater than the preset information delay value threshold is marked as the delay multiplier value YB;

[0021] SS: Get the environmental interference value of the device within the time threshold. The environmental interference value refers to the product of the part of the internal temperature change value of the device that exceeds the preset temperature change value and the average ventilation flow rate inside the device after data normalization. The environmental interference value of the device is labeled as HG;

[0022] SS: Obtain the duration between the time when the voice command is issued and the time when the command is correctly executed, and mark it as the transmission duration, obtain the risk multiplier value of the device within the transmission duration, the risk multiplier value represents the ratio of the number of commands issued within the transmission duration that exceeds the preset number to the number of commands issued, analyze the risk multiplier value with the preset risk multiplier value threshold, if the risk multiplier value is greater than the preset risk multiplier value threshold, then mark the part of the risk multiplier value that is greater than the preset risk multiplier value as affecting the transmission value YC.

[0023] Preferably, the formulated comparison analysis process of the optimization analysis unit is as follows:

[0024] According to the formula The control performance evaluation coefficient of the equipment is obtained, where a1, a2 and a3 are respectively the preset proportional factor coefficients of the delay multiplier value, the environmental interference value and the transmission value, a1, a2 and a3 are all positive numbers greater than zero, a4 is the preset fault tolerance factor coefficient, and the value is 1.436, K is the control performance evaluation coefficient, and the control performance evaluation coefficient K is compared and analyzed with the preset control performance evaluation coefficient threshold value stored in the internal input:

[0025] If the control performance evaluation coefficient is less than or equal to the preset control performance evaluation coefficient threshold, a normal signal is generated;

[0026] If the control performance evaluation coefficient K is greater than the preset control performance evaluation coefficient threshold, an optimization signal is generated.

[0027] Preferably, the in-depth trend change analysis process of the impact analysis unit is as follows:

[0028] Get the duration from the most recent optimization end time to the current time, and mark it as the analysis duration. Divide the analysis duration into g sub-time nodes, where g is a natural number greater than zero. Get the historical control performance evaluation coefficients of the equipment in each sub-time node to construct a set A of historical control performance evaluation coefficients. At the same time, get the control performance evaluation coefficient K within this time threshold, add the control performance evaluation coefficient K to set A to become the last subset, get the value obtained by subtracting the previous subset from the latter of the two connected subsets in set A, and get the total value of the value obtained by subtracting the previous subset from the latter of the two connected subsets. Mark the total value of the value obtained by subtracting the previous subset from the latter of the two connected subsets as the potential impact risk value, and analyze the potential impact risk value:

[0029] If the potential impact risk value is greater than zero, no signal is generated;

[0030] If the potential impact risk value is less than or equal to zero, a potential risk signal is generated.

[0031] The beneficial effects of the present invention are as follows:

[0032] (1) The present invention improves the control effect of the device through the coordination of the system and machinery, that is, under the premise of the rotation of the coaxial shaft, the extrusion piston rod squeezes the gas inside the hollow box, so that the gas enters the inside of the sealing sleeve through the inside of the air guide tube, causing the sealing sleeve to expand, and then the sealing sleeve seals and wraps the rubber sleeve, so as to reduce the environmental impact on the inside of the device shell, and at the same time helps to improve the stability of the rubber sleeve to ensure the control effect of the device, and at the same time, the crank push rod drives the self-locking plate to slide inside the guide groove, so that the self-locking plate reinforces the positioning screws inserted into the positioning plate to improve the overall stability of the device. Therefore, with the coordination of mechanical parts, it can achieve the effect of improving the stability of the rubber sleeve and the effect of improving the overall stability of the device;

[0033] (2) The present invention determines whether the equipment is operating normally by collecting the equipment's operating data and conducting an operation safety supervision assessment and analysis, so as to ensure the equipment's control effect and execution performance. The present invention also collects the equipment's operating data from normally operating equipment through information feedback and conducts a control efficiency assessment and analysis to determine whether the equipment's control effect meets the standards, so as to timely optimize the equipment's internal control system, which helps to improve the equipment's control efficiency. The present invention also conducts an in-depth trend change analysis on equipment that meets the standards, so as to promptly resolve the problem of potential control failure risks, so as to ensure the control effect and accuracy of subsequent equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention will be further described below in conjunction with the accompanying drawings;

[0035] Figure 1 It is a three-dimensional diagram of the structure of the present invention;

[0036] Figure 2 It is a schematic structural diagram of the crank push rod of the present invention;

[0037] Figure 3 The present invention Figure 2 A magnified image of area A;

[0038] Figure 4 It is a flowchart of the system of the present invention;

[0039] Legend: 1. Equipment housing; 2. Display panel; 3. Rotary knob; 4. Positioning plate; 5. Guide plate; 6. Rubber wire sleeve; 7. Servo motor; 8. Transmission worm; 9. Positioning worm; 10. Concentric shaft; 11. Limit sleeve; 12. Crank connecting rod; 13. Extrusion piston rod; 14. Hollow box; 15. Air guide tube; 16. Crank push rod; 17. Self-locking plate. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0041] Embodiment 1:

[0042] See also Figures 1 to 4As shown, the present invention is a knob controller suitable for smart home, comprising a device housing 1, a rotating knob 3 is rotatably connected to the interior of the front surface of the device housing 1, and a display panel 2 is fixedly connected to the interior of the front surface of the rotating knob 3, a positioning plate 4 is fixedly connected to the upper and lower surfaces of the device housing 1, a guide plate 5 is fixedly connected to the upper surface of the device housing 1, a rubber wire sleeve 6 is inserted into the interior of the guide plate 5, a servo motor 7 is fixedly connected to the interior of the device housing 1, a transmission worm 8 is transmission-connected to the interior of one side of the servo motor 7, a positioning worm 9 is transmission-connected to the end of the transmission worm 8 away from the servo motor 7, a concentric shaft 10 is fixedly inserted into the interior of the positioning worm 9, both ends of the concentric shaft 10 are rotationally connected to the inner wall of the device housing 1, a limiting sleeve 11 is symmetrically fixedly connected to the exterior of the concentric shaft 10, and a crank connecting rod 12 is rotationally connected to the end of the limiting sleeve 11 away from the concentric shaft 10. One end of the rod 12 away from the coaxial shaft 10 is rotatably connected with an extrusion piston rod 13, and one end of the extrusion piston rod 13 away from the crank connecting rod 12 is sleeved with a hollow box 14 on the outside, one side of the hollow box 14 is fixedly connected to the inner wall of the device housing 1, and the upper surface of the hollow box 14 is fixedly connected with an air guide tube 15, and the inside of the guide plate 5 is located outside the rubber wire sleeve 6 and is fixedly connected with a sealing sleeve, and the outer surface of the sealing sleeve is fixedly connected with the air guide tube 15, that is, before operating the device, the device is manually secured, the installed device is adjusted, and the servo motor 7 is controlled to work. When the servo motor 7 is working, the servo motor 7 drives the transmission worm 8 to rotate, and when the transmission worm 8 rotates, the transmission between the gears drives the positioning worm 9 to rotate, and then the positioning worm 9 drives the concentric shaft 10 to rotate inside the device housing 1;

[0043] Under the premise that the concentric shaft 10 rotates, the concentric shaft 10 drives the limiting sleeve 11 to rotate synchronously. When the limiting sleeve 11 rotates, the limiting sleeve 11 drives the crank connecting rod 12 to operate synchronously, and then the crank connecting rod 12 drives the extrusion piston rod 13 to move synchronously, so that the extrusion piston rod 13 slides inside the hollow box 14, and the extrusion piston rod 13 squeezes the gas inside the hollow box 14, so that the gas enters the inside of the sealing sleeve through the inside of the air guide pipe 15, so that the sealing sleeve expands, and then the sealing sleeve seals and wraps the rubber wire sleeve 6, so as to reduce the environmental impact on the inside of the equipment housing 1, and at the same time helps to improve the stability of the rubber wire sleeve 6, so as to ensure the control effect of the equipment;

[0044] A crank push rod 16 is symmetrically fixedly sleeved on the outside of the concentric shaft 10, and a self-locking plate 17 is movably connected to the end of the crank push rod 16 away from the concentric shaft 10. A guide groove matching the self-locking plate 17 is opened inside the equipment housing 1, that is, under the premise that the concentric shaft 10 rotates, the concentric shaft 10 drives the crank push rod 16 to rotate synchronously, and the crank push rod 16 drives the self-locking plate 17 to slide inside the guide groove, so that the self-locking plate 17 reinforces the positioning screws inserted into the positioning plate 4 to improve the overall stability of the equipment. Therefore, with the cooperation of mechanical components, it can achieve the effect of improving the stability of the rubber wire sleeve 6 and the overall stability of the equipment.

[0045] Embodiment 2:

[0046] An intelligent control system for a knob controller suitable for smart home, a control platform is arranged inside a display panel 2, a server, an operation risk unit, an optimization analysis unit, an early warning unit and an impact analysis unit are arranged inside the control platform, when the server generates a supervision instruction, and sends the supervision instruction to the operation risk unit, after receiving the supervision instruction, the operation risk unit immediately collects the operation data of the equipment, the operation data includes the fault risk value of the internal electrical components and the line reactive power value, and performs operation safety supervision evaluation and analysis on the operation data to judge whether the equipment is operating normally, so as to ensure the control effect and execution performance of the equipment, the specific operation safety supervision evaluation and analysis process is as follows:

[0047] The duration between the start time and the end time of the equipment operation is collected and marked as the time threshold. The time threshold is divided into i sub-time periods, where i is a natural number greater than zero. The fault risk value of the electrical components inside the equipment in each sub-time period is obtained. The fault risk value represents the sum of the operating temperature change value and the operating current change value of the electrical components in the sub-time period after data normalization. The fault risk value is compared and analyzed with the preset fault risk value threshold. If the fault risk value is greater than the preset fault risk value threshold, the ratio of the total number of sub-time periods corresponding to the fault risk value greater than the preset fault risk value threshold to the total number of sub-time periods is marked as the out-of-control risk value. It should be noted that the larger the value of the out-of-control risk value, the greater the risk of the control accuracy of the equipment.

[0048] The reactive power value of the line inside the device in each sub-time period is obtained, so as to obtain the maximum and minimum values ​​of the reactive power value of the line inside the device in the sub-time period, and then obtain the difference between the maximum and minimum values ​​of the reactive power value of the line inside the device in the sub-time period, and mark the difference between the maximum and minimum values ​​of the reactive power value of the line inside the device in the sub-time period as the reactive span risk value. It should be noted that the reactive span risk value is an influencing parameter reflecting the operating status of the device;

[0049] Compare and analyze the out-of-control risk value and reactive span risk value with the preset out-of-control risk value threshold and preset reactive span risk value threshold that are stored internally:

[0050] If the out-of-control risk value is less than or equal to the preset out-of-control risk value threshold, and the reactive span risk value is less than or equal to the preset reactive span risk value threshold, a normal signal is generated and sent to the optimization analysis unit;

[0051] If the out-of-control risk value is greater than the preset out-of-control risk value threshold, or the reactive span risk value is greater than the preset reactive span risk value threshold, an abnormal signal is generated and sent to the early warning unit. After receiving the abnormal signal, the early warning unit immediately displays the early warning text corresponding to the abnormal signal, so that the user can perform maintenance management on the equipment in time to improve the operation safety and control accuracy of the equipment;

[0052] After receiving the normal signal, the optimization and analysis unit immediately collects the working data of the equipment, including the information delay value, environmental interference value and risk multiple value, and performs control efficiency evaluation and analysis on the working data to determine whether the control effect of the equipment meets the standard, so as to optimize the internal control system of the equipment in time, which helps to improve the control efficiency of the equipment. The specific control efficiency evaluation and analysis process is as follows:

[0053] The information delay value of the device within the time threshold is obtained. The information delay value indicates the ratio of the portion of the time between the time when the instruction is issued and the time when the instruction is correctly executed that exceeds the preset standard time to the preset standard time. At the same time, the information delay value is compared and analyzed with the preset information delay value threshold. If the information delay value is greater than the preset information delay value threshold, the portion of the information delay value greater than the preset information delay value threshold is marked as a delay multiplier value, which is labeled YB. It should be noted that the larger the value of the delay multiplier value YB is, the greater the risk of affecting the control accuracy of the control system of the device;

[0054] The environmental interference value of the device within the time threshold is obtained. The environmental interference value refers to the product of the portion of the temperature change value inside the device that exceeds the preset temperature change value and the average ventilation flow rate inside the device after data normalization. The environmental interference value of the device is labeled as HG. It should be noted that the larger the value of the environmental interference value HG, the greater the risk of device out-of-control identification;

[0055] The duration between the time when the voice command is issued and the time when the command is correctly executed is obtained, and it is marked as the transmission duration, and the risk multiple value of the device within the transmission duration is obtained. The risk multiple value represents the ratio of the number of times the command is issued within the transmission duration that exceeds the preset number to the number of times the command is issued. The risk multiple value is analyzed with the preset risk multiple value threshold. If the risk multiple value is greater than the preset risk multiple value threshold, the part of the risk multiple value greater than the preset risk multiple value is marked as the transmission-affecting value, which is labeled as YC. It should be noted that the transmission-affecting value YC is an influencing parameter reflecting the control accuracy of the device;

[0056] According to the formula The control performance evaluation coefficient of the equipment is obtained, wherein a1, a2 and a3 are respectively the preset proportional factor coefficients of the delay multiplier value, the environmental interference value and the transmission value, and the proportional factor coefficient is used to correct the deviation of each parameter in the formula calculation process, so as to make the calculation result more accurate, a1, a2 and a3 are all positive numbers greater than zero, a4 is the preset fault tolerance factor coefficient, and the value is 1.436, K is the control performance evaluation coefficient, and the size of the coefficient is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding coefficient for each group of sample data by technicians in this field, as long as it does not affect the proportional relationship between the parameter and the quantified value, the control performance evaluation coefficient K is compared with the preset control performance evaluation coefficient threshold value stored in its internal input:

[0057] If the control performance evaluation coefficient is less than or equal to the preset control performance evaluation coefficient threshold, a normal signal is generated and a feedback signal is sent to the impact analysis unit;

[0058] If the control performance evaluation coefficient K is greater than the preset control performance evaluation coefficient threshold, an optimization signal is generated and sent to the early warning unit. After receiving the optimization signal, the early warning unit immediately displays an early warning in the form of the word "optimization" to improve the user's optimization of the control system inside the device, thereby helping to improve the overall control efficiency and control accuracy of the control system inside the device;

[0059] After receiving the feedback signal, the impact analysis unit immediately collects the historical control performance evaluation coefficient of the equipment and conducts an in-depth trend change analysis to promptly resolve the potential control failure risk problem. The specific in-depth trend change analysis process is as follows:

[0060] Get the duration from the most recent optimization end time to the current time, and mark it as the analysis duration. Divide the analysis duration into g sub-time nodes, where g is a natural number greater than zero. Get the historical control performance evaluation coefficients of the equipment in each sub-time node to construct a set A of historical control performance evaluation coefficients. At the same time, get the control performance evaluation coefficient K within this time threshold, add the control performance evaluation coefficient K to set A to become the last subset, get the value obtained by subtracting the previous subset from the latter of the two connected subsets in set A, and get the total value of the value obtained by subtracting the previous subset from the latter of the two connected subsets. Mark the total value of the value obtained by subtracting the previous subset from the latter of the two connected subsets as the potential impact risk value, and analyze the potential impact risk value:

[0061] If the potential impact risk value is greater than zero, no signal is generated;

[0062] If the potential impact risk value is less than or equal to zero, a potential risk signal is generated and sent to the early warning unit. After receiving the potential risk signal, the early warning unit immediately displays the early warning text corresponding to the potential risk signal, and then reminds the user to perform optimization processing to ensure the control effect and accuracy of subsequent equipment;

[0063] In summary, the present invention improves the control effect of the device through the coordination of the system and the machinery, that is, under the premise of the rotation of the coaxial shaft 10, the extrusion piston rod 13 squeezes the gas inside the hollow box 14, so that the gas enters the inside of the sealing sleeve through the inside of the air guide tube 15, so that the sealing sleeve expands, and then the sealing sleeve seals and wraps the rubber sleeve 6, so as to reduce the environmental impact on the inside of the device housing 1, and at the same time helps to improve the stability of the rubber sleeve 6 to ensure the control effect of the device, and at the same time, the crank push rod 16 drives the self-locking plate 17 to slide inside the guide groove, so that the self-locking plate 17 reinforces the positioning screws inserted into the positioning plate 4 to improve the overall stability of the device, so that the mechanical parts are With the cooperation, it can achieve the effect of improving the stability of the rubber wire sleeve 6, and can also achieve the effect of improving the overall stability of the equipment; and by collecting the operation data of the equipment and conducting operation safety supervision evaluation and analysis, it is judged whether the equipment is operating normally, so as to ensure the control effect and execution performance of the equipment, and by collecting the working data of the normally operating equipment through information feedback and conducting control efficiency evaluation and analysis to determine whether the control effect of the equipment meets the standard, so as to timely optimize the internal control system of the equipment, which is helpful to improve the control efficiency of the equipment, and conduct in-depth trend change analysis on the qualified equipment, so as to timely solve the problem of potential control failure risk, so as to ensure the control effect and accuracy of subsequent equipment.

[0064] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0065] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A knob controller suitable for smart home, comprising a device housing (1), characterized in that: A rotating knob (3) is rotatably connected to the interior of the front surface of the device housing (1), and a display panel (2) is fixedly connected to the interior of the front surface of the rotating knob (3); positioning plates (4) are fixedly connected to the upper and lower surfaces of the device housing (1); a guide plate (5) is fixedly connected to the upper surface of the device housing (1); a rubber wire sleeve (6) is inserted into the interior of the guide plate (5); a servo motor (7) is fixedly connected to the interior of the device housing (1); a transmission worm (8) is transmission-connected to one side of the servo motor (7); and the transmission worm (8) is away from one side of the servo motor (7). The end of the worm gear (9) is connected to the end transmission, the interior of the worm gear (9) is fixedly inserted with a coaxial shaft (10), the exterior of the coaxial shaft (10) is symmetrically fixedly connected with a limiting sleeve (11), the end of the limiting sleeve (11) away from the coaxial shaft (10) is rotatably connected with a crank connecting rod (12), the end of the crank connecting rod (12) away from the coaxial shaft (10) is rotatably connected with an extrusion piston rod (13), the end of the extrusion piston rod (13) away from the crank connecting rod (12) is sleeved with a hollow box (14) on the exterior, and the upper surface of the hollow box (14) is fixedly connected with an air guide pipe (15); A crank push rod (16) is symmetrically and fixedly sleeved on the outside of the concentric shaft (10), and a self-locking plate (17) is movably connected to one end of the crank push rod (16) away from the concentric shaft (10); One side of the hollow box (14) is fixedly connected to the inner wall of the device housing (1), both ends of the concentric shaft (10) are rotatably connected to the inner wall of the device housing (1), the interior of the guide plate (5) is fixedly connected to the outside of the rubber wire sleeve (6), and the outer surface of the sealing sleeve is fixedly connected to the air guide pipe (15), and the interior of the device housing (1) is provided with a guide groove that matches the self-locking plate (17).

2. An intelligent control system of a knob controller suitable for smart home based on claim 1, characterized in that: The display panel (2) is provided with a control platform inside, and the control platform is provided with a server, an operation risk unit, an optimization analysis unit, an early warning unit and an impact analysis unit; When the server generates a supervision instruction, it sends the supervision instruction to the operation risk unit. After receiving the supervision instruction, the operation risk unit immediately collects the operation data of the equipment, including the fault risk value of the internal electrical components and the reactive power value of the line, and performs operation safety supervision evaluation and analysis on the operation data, sends the obtained normal signal to the optimization analysis unit, and sends the obtained abnormal signal to the early warning unit; After receiving the normal signal, the optimization analysis unit immediately collects the working data of the equipment, including the information delay value, environmental interference value and risk multiple value, and performs control efficiency evaluation analysis and formula comparison analysis on the working data, and sends the obtained feedback signal to the impact analysis unit, and sends the obtained optimization signal to the early warning unit; After receiving the feedback signal, the impact analysis unit immediately collects the historical control performance evaluation coefficient of the equipment, conducts in-depth trend change analysis, and sends the obtained potential risk signal to the early warning unit.

3. The intelligent control system of the knob controller suitable for smart home according to claim 2, characterized in that: The operation safety supervision assessment and analysis process of the operation risk unit is as follows: Step 1: Collect the duration from the start time to the end time of the equipment operation, and mark it as the time threshold, divide the time threshold into i sub-time periods, i is a natural number greater than zero, obtain the fault risk value of the electrical components inside the equipment in each sub-time period, the fault risk value represents the sum of the operating temperature change value and the operating current change value of the electrical components in the sub-time period after data normalization, and compare and analyze the fault risk value with the preset fault risk value threshold. If the fault risk value is greater than the preset fault risk value threshold, then the ratio of the total number of sub-time periods corresponding to the fault risk value greater than the preset fault risk value threshold to the total number of sub-time periods is marked as the out-of-control risk value; Step 2: Obtain the line reactive power value inside the device in each sub-time period, thereby obtaining the maximum and minimum values ​​of the line reactive power value inside the device in the sub-time period, and then obtain the difference between the maximum and minimum values ​​of the line reactive power value inside the device in the sub-time period, and mark the difference between the maximum and minimum values ​​of the line reactive power value inside the device in the sub-time period as the reactive span risk value; Step 3: Compare and analyze the out-of-control risk value and reactive span risk value with the preset out-of-control risk value threshold and preset reactive span risk value threshold that are stored internally: If the out-of-control risk value is less than or equal to the preset out-of-control risk value threshold, and the reactive span risk value is less than or equal to the preset reactive span risk value threshold, a normal signal is generated; If the out-of-control risk value is greater than the preset out-of-control risk value threshold, or the reactive power span risk value is greater than the preset reactive power span risk value threshold, an abnormal signal is generated.

4. The intelligent control system of the knob controller suitable for smart home according to claim 3, characterized in that: The control efficiency evaluation and analysis process of the optimization analysis unit is as follows: SS1: Obtain the information delay value of the device within the time threshold. The information delay value indicates the ratio of the portion of the time between the time when the instruction is issued and the time when the instruction is correctly executed that exceeds the preset standard time to the preset standard time. At the same time, the information delay value is compared and analyzed with the preset information delay value threshold. If the information delay value is greater than the preset information delay value threshold, the portion of the information delay value greater than the preset information delay value threshold is marked as the delay multiplier value YB; SS12: Obtain the environmental interference value of the device within the time threshold. The environmental interference value refers to the product of the portion of the internal temperature change value of the device that exceeds the preset temperature change value and the average ventilation flow rate inside the device after data normalization. The environmental interference value of the device is labeled HG. SS13: Obtain the duration between the time when the voice command is issued and the time when the command is correctly executed, and mark it as the transmission duration, obtain the risk multiplier value of the device within the transmission duration, the risk multiplier value represents the ratio of the number of times the command is issued within the transmission duration that exceeds the preset number to the number of times the command is issued, analyze the risk multiplier value with the preset risk multiplier value threshold, if the risk multiplier value is greater than the preset risk multiplier value threshold, then mark the part of the risk multiplier value that is greater than the preset risk multiplier value as affecting the transmission value YC.

5. The intelligent control system of the knob controller suitable for smart home according to claim 4, characterized in that: The formulated comparison and analysis process of the optimization analysis unit is as follows: According to the formula The control performance evaluation coefficient of the equipment is obtained, where a1, a2 and a3 are respectively the preset proportional factor coefficients of the delay multiplier value, the environmental interference value and the transmission value, a1, a2 and a3 are all positive numbers greater than zero, a4 is the preset fault tolerance factor coefficient, and the value is 1.436, K is the control performance evaluation coefficient, and the control performance evaluation coefficient K is compared and analyzed with the preset control performance evaluation coefficient threshold value stored in the internal input: If the control performance evaluation coefficient is less than or equal to the preset control performance evaluation coefficient threshold, a normal signal is generated; If the control performance evaluation coefficient K is greater than the preset control performance evaluation coefficient threshold, an optimization signal is generated.

6. The intelligent control system of the knob controller suitable for smart home according to claim 5, characterized in that: The in-depth trend change analysis process of the impact analysis unit is as follows: Get the duration from the most recent optimization end time to the current time, and mark it as the analysis duration. Divide the analysis duration into g sub-time nodes, where g is a natural number greater than zero. Get the historical control performance evaluation coefficients of the equipment in each sub-time node to construct a set A of historical control performance evaluation coefficients. At the same time, get the control performance evaluation coefficient K within this time threshold, add the control performance evaluation coefficient K to set A to become the last subset, get the value obtained by subtracting the previous subset from the latter subset of the two connected subsets in set A, and get the sum of the values ​​obtained by subtracting the previous subset from the latter subset of the two connected subsets. Mark the sum of the values ​​obtained by subtracting the previous subset from the latter subset of the two connected subsets as the potential impact risk value, and analyze the potential impact risk value: If the potential impact risk value is greater than zero, no signal is generated; If the potential impact risk value is less than or equal to zero, a potential risk signal is generated.

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