Method, device and equipment for address self-learning of electric multi-window

Abstract

The application relates to an address self-learning method of an electric multi-window, which comprises the following steps: S1, controlling any of a plurality of electric windows to be in a closed state; collecting closed state test information of the electric window in the closed state, and judging whether the closed state test information is consistent with preset information; S3, collecting stall force information of the electric window in the closed state, and judging whether the stall force information is abnormal; and S4, if the closed state test information is consistent with the preset information and the stall force information is abnormal, recording the address of the electric window as N. The address self-learning method of the electric multi-window provides the ability of user's free adjustment and flexible configuration on the starting order of the window, reduces system complexity and installation cost, improves the intelligent level of the system, has self-learning ability, and makes the electric multi-window system more convenient, intelligent and easy to use.

Description

Technical Field

[0001] This invention relates to the field of electric window technology, and in particular to an address self-learning method for electric multi-window systems. Background Technology

[0002] Motorized multi-window systems are convenient and intelligent window sash systems that automatically open and close windows via motors or control boxes. Compared to traditional manual windows, motorized multi-window systems offer a more convenient and intelligent operating method. Current technology typically uses one control box to control one window. However, due to power limitations of the control box, one box can usually only control two windows simultaneously. This means that multiple control boxes are needed to control multiple windows. This limitation increases system complexity and installation costs, and requires professional setup and configuration. Furthermore, current motorized multi-window systems have some issues regarding the start-up sequence. Typically, the window start-up sequence needs to be pre-set by the manufacturer or configured by professionals through inputting code. This limits the user's freedom and flexibility in adjusting the window start-up sequence during actual use.

[0003] Therefore, it is necessary to provide a multi-window address self-learning method that allows users to freely and flexibly adjust the window startup order in actual use. Summary of the Invention

[0004] This invention provides a multi-window address self-learning method that allows users to freely and flexibly adjust the window startup order in actual use.

[0005] An address self-learning method for electrically powered multi-window applications includes the following steps:

[0006] S1. Control any one of multiple electric windows to be in the closed state;

[0007] S2. Collect the closing state test information of the electric window that is in the closed state, and determine whether the closing state test information meets the preset information;

[0008] S3. Collect the stall force information of the electric window in the closed state, and determine whether the stall force information is abnormal;

[0009] S4. If the closed state test information matches the preset information and the stall force information is abnormal, then record the address of the electric window as N.

[0010] In one embodiment, step S4 further includes:

[0011] Determine if all power windows are paired;

[0012] If an electric window is not paired, the second electric window is controlled to be closed, and the process returns to step S20.

[0013] If all power windows are already paired, then pairing stops.

[0014] In one embodiment, step S1 further includes:

[0015] Upon receiving the address pairing signal, the device enters address pairing mode.

[0016] In one embodiment, step S20 further includes:

[0017] Collect the Hall magnetic field of the electric window in the closed state, and determine whether the magnetic induction intensity value of the Hall magnetic field is greater than the magnetic induction threshold.

[0018] If the magnetic induction intensity is greater than the magnetic induction threshold, then step S30 is executed;

[0019] If the magnetic induction intensity value is not greater than the magnetic induction threshold, a window closing signal is generated, and the process returns to step S1.

[0020] In one embodiment, step S30 further includes:

[0021] Collect the rocker arm current of the electric window in the closed state, and determine whether the current value of the rocker arm current is greater than the current threshold.

[0022] If the current value is greater than the current threshold, then proceed to step S4;

[0023] If the current value is not greater than the current threshold, a window closing signal is generated, and the process returns to step S1.

[0024] An address self-learning device for electrically driven multi-window applications, applied to the address self-learning method for electrically driven multi-window applications as described above, the address self-learning device for electrically driven multi-window applications comprising:

[0025] The control box is used to control any one of multiple electric windows to be in the closed state.

[0026] Hall effect circuits are used to collect the Hall magnetic field of an electric window that is closed and to determine whether the magnetic flux density of the Hall magnetic field is greater than the magnetic flux threshold.

[0027] The control circuit is used to collect the rocker arm current of the electric window when it is closed, and to determine whether the current value of the rocker arm current is greater than the current threshold.

[0028] The control box is connected to both the Hall circuit and the control circuit.

[0029] In one embodiment, the address self-learning device for the electric multi-window further includes a locking motor and a handle assembly disposed on the locking motor. The locking motor is electrically connected to the control box, and the locking motor is equipped with the Hall circuit. The locking motor is used to control the handle assembly to close the electric window.

[0030] In one embodiment, the locking motor includes a magnetic screw and a Hall element corresponding to the magnetic screw. When the electric window is in the closed state, the Hall element detects the magnetic field on the magnetic screw.

[0031] A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the above-described address self-learning method for electric multi-windows.

[0032] A computer device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the above-described electric multi-window address self-learning method.

[0033] The above-described address self-learning method for electric multi-window applications has at least the following beneficial effects:

[0034] Traditional multi-window motorized windows require pre-setting the activation order or configuring it through code. This self-learning method allows users to freely adjust and flexibly configure the activation order during actual use, providing greater flexibility and convenience. Secondly, traditional systems require multiple control boxes to control multiple windows, increasing system complexity and installation costs. Using the address self-learning method, only one control box is needed to control multiple windows, reducing system complexity and cost. This method automatically identifies whether a window is closed by collecting and judging the closing status and stall force information of the windows. This avoids manual judgment or setting, improving the system's intelligence level. Furthermore, based on identifying the closed status of the windows, this method records the windows that meet the conditions as address N, achieving self-learning capability. The system can automatically learn and memorize the addresses of the windows according to actual conditions, without manual intervention or setting. Overall, this address self-learning method for electric multi-windows provides users with the ability to freely adjust and flexibly configure the start-up order of electric windows, reduces system complexity and installation costs, improves the system's intelligence level, and has self-learning capabilities, making the electric multi-window system more convenient, intelligent, and easy to use. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart of the address self-learning method for electric multi-window implementation in Example 1;

[0037] Figure 2 This is a flowchart of the address self-learning method for the motorized multi-window implementation in Example 2;

[0038] Figure 3 The flowchart shows the address self-learning method for the motorized multi-window system in Example 3.

[0039] Figure 4 The flowchart below shows the address self-learning method for the motorized multi-window implementation in Example 4.

[0040] Figure 5 The flowchart shows the address self-learning method for the motorized multi-window system in Example 5.

[0041] Figure 6 This is a structural block diagram of an address self-learning device for an electrically powered multi-window system according to one embodiment.

[0042] Figure 7 This is a schematic diagram of a Hall circuit according to one embodiment;

[0043] Figure 8 This is a structural diagram of an address self-learning device for an electrically powered multi-window system according to an embodiment.

[0044] Figure 9 This is a structural block diagram of a computer device according to one embodiment.

[0045] Figure label:

[0046] 100. Address self-learning device for electric multi-window system; 110. Control box; 120. Hall circuit; 130. Control circuit; 140. Locking motor; 141. Magnetic screw; 142. Hall element; 150. Handle assembly; 160. Rocker arm motor; 170. Permanent magnet; 180. Window frame; 190. Window sash; 200. Computer equipment; 210. Processor; 220. Memory. Detailed Implementation

[0047] 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 skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] Example 1:

[0049] refer to Figure 1 This application provides an address self-learning method for electrically powered multi-window systems, comprising the following steps:

[0050] S1. Control any one of multiple electric windows to be in the closed state;

[0051] In this step, the user can send control signals via buttons, remote control, or other control devices to enable the server to close any one of the multiple motorized windows. The purpose is to ensure that any one of the motorized windows is in a closed state, providing a baseline state for subsequent data collection and analysis. By selecting a closed motorized window as the starting point, it is ensured that at least one motorized window is in a closed state at the beginning.

[0052] S2. Collect the closing status test information of the electric window that is in the closed state, and determine whether the closing status test information meets the preset information;

[0053] In this step, test information about the closed state of the electric window, such as sensor data or feedback from status indicators, is collected to determine whether the electric window is in the expected closed state.

[0054] It should be noted that there are various ways to collect test information on the closed state of an electric window. For example, various types of sensors, such as light sensors, Hall effect sensors, and proximity sensors, can be used to collect relevant data on the closed state of the electric window. These sensors can detect information such as the position, angle, and lighting of the electric window to determine whether the electric window is in the expected closed state. In other implementations, the closed state can also be determined by observing a status indicator on the electric window, such as a light or display screen. Status indicators typically use specific colors, brightness, or icons to represent the state of the electric window. By observing and interpreting these indicators, it can be determined whether the electric window meets the expected closed state. Alternatively, the complete closure of the electric window can be determined by monitoring feedback signals sent by the control system or the electric window driver. These feedback signals can be voltage signals, current signals, switch signals, etc., used to represent the status information of the electric window.

[0055] S3. Collect the stall force information of the electric window in the closed state and determine whether the stall force information is abnormal;

[0056] In this step, the stall force information can be used to detect any abnormalities in the motor or drive system of the power window. Abnormal stall force further determines whether the power window is in the intended closed state.

[0057] It should be noted that there are several ways to collect information on the stall force of a closed motorized window. For example, a rocker arm circuit can be used to detect the stall force. This circuit is typically connected to the rocker arm motor of the motorized window and monitors changes in the motor's current or voltage. If the motorized window encounters resistance or stalls when closed, the rocker arm circuit can detect additional load or abnormal current on the motor, thus determining the stall condition. In other implementations, pressure sensors installed around the window frame or on the window sash can detect the pressure or resistance encountered when the motorized window closes. These sensors can sense changes in resistance during the closing process, such as due to misalignment between the window sash and the frame or obstruction by other objects. By monitoring the output signal of the pressure sensors, it can be determined whether the closing state of the motorized window is normal. In addition, some motorized window systems may be equipped with a spring mechanism to assist in opening and closing the window sash. By measuring the spring force or compression, the closing state of the motorized window can be indirectly determined. If the spring force is abnormal or the window sash cannot be compressed normally, it may indicate a stall or incomplete closure problem.

[0058] S4. If the test information for the closed state matches the preset information and the stall force information is abnormal, then record the address of the electric window as N.

[0059] In this step, based on the previous judgment results, if the closed state test information matches the preset information and the stall force information is abnormal, then the power window is recorded as address N. This indicates that the power window meets the conditions for the closed state and can be marked as a specific address.

[0060] The purpose of this step is to mark the motorized windows that meet the set conditions as address N for subsequent operation and identification. Recording the address N of a motorized window can be used to identify and control a specific motorized window, for example, controlling the opening and closing operation of the motorized window based on address N.

[0061] It should be noted that address N is an identifier representing a specific motorized window, used to identify or mark motorized windows that meet certain conditions. It can be a number, letter, or other symbol used to distinguish different motorized windows or groups of motorized windows.

[0062] Example 2:

[0063] refer to Figure 2 This application provides an address self-learning method for electrically powered multi-window systems, comprising the following steps:

[0064] S1. Control any one of multiple electric windows to be in the closed state;

[0065] In this step, the user can send control signals via buttons, remote control, or other control devices to enable the server to close any one of the multiple motorized windows. The purpose is to ensure that any one of the motorized windows is in a closed state, providing a baseline state for subsequent data collection and analysis. By selecting a closed motorized window as the starting point, it is ensured that at least one motorized window is in a closed state at the beginning.

[0066] S20. Collect the Hall magnetic field of the electric window in the closed state and determine whether the magnetic induction intensity value of the Hall magnetic field is greater than the magnetic induction threshold.

[0067] In this step, the Hall magnetic field of the motorized window in the closed state is collected. The Hall magnetic field is generated by a Hall element installed on the motorized window and is used to identify whether the motorized window is in the closed state. Then, it is determined whether the magnetic induction intensity value of the collected Hall magnetic field exceeds a preset magnetic induction threshold. By judging the magnetic induction intensity, it can be determined whether the motorized window is in the closed state.

[0068] The purpose of this step is to confirm whether the electric window is truly closed by detecting the strength of the Hall magnetic field. If the magnetic induction intensity exceeds the set threshold, it indicates that the electric window is closed, and further judgment and recording can proceed.

[0069] It should be noted that a Hall magnetic field refers to a magnetic field detected by a Hall element (Hall sensor). A Hall element is a sensor based on the Hall effect, commonly used to measure the strength and direction of a magnetic field. In this embodiment, a Hall element is installed on each motorized window to detect whether the motorized window is closed. By monitoring the magnetic field around the motorized window, the Hall element can identify whether the motorized window is closed. When the motorized window is closed, the Hall element on the motorized window senses the corresponding magnetic field and generates a specific potential difference to indicate the status of the motorized window. Specifically, the motorized window may include a permanent magnet and a magnetically conductive screw. The permanent magnet is located on the window frame, and the magnetically conductive screw is located on the window sash. When the two are close together, they interact to generate a magnetic field, allowing the Hall element to detect the magnetic field of the motorized window and thus determine whether the motorized window is closed.

[0070] The specific setting of the magnetic induction threshold depends on the design requirements and actual conditions of the motorized window server. It is typically determined based on the expected strength of the Hall magnetic field when the motorized window is closed. By setting an appropriate magnetic induction threshold, a method for identifying the closed state of the motorized window can be provided.

[0071] When the magnetic flux density exceeds the magnetic flux threshold, it indicates that the Hall magnetic field of the electric window has reached the expected closed state, meaning the electric window is closed. Detecting this magnetic flux state helps determine which electric windows are closed, allowing for address marking or other related operations.

[0072] S30. Collect the rocker arm current of the electric window in the closed state, and determine whether the current value of the rocker arm current is greater than the current threshold.

[0073] In this step, the current of the rocker arm motor of the electric window, which is in the closed state, is collected. The rocker arm motor is the motor used to drive the electric window to open and close. By collecting the value of the rocker arm current, it is determined whether it exceeds a preset current threshold. Determining whether the current value exceeds the threshold confirms whether the electric window is in the closed state.

[0074] The purpose of this step is to further determine whether the electric window is truly closed by detecting any abnormalities in the current of the rocker arm motor. If the current exceeds a set threshold, it indicates that the electric window is closed, and the next step can be performed.

[0075] It's important to note that the rocker arm current refers to the current flowing through the rocker arm motor in the electric window. In an electric window server, each electric window has an independent rocker arm motor, and their circuits are connected in parallel. Parallel connection means that the rocker arm motor circuits are connected together in parallel, sharing the same power supply and control signals. The rocker arm motor drives the opening and closing action of the electric window. It moves the electric window by rotating the rocker arm, enabling the window to open or close automatically. The rocker arm motor is typically powered by a power supply, and the current flow is controlled by a connecting circuit. When a control signal is sent to the electric window server, the server correspondingly starts the specific rocker arm motor and drives it by providing the appropriate current. This current flows simultaneously through the rocker arm motors of all electric windows through the parallel-connected circuit. In this setup, by setting a load in the circuit, any abnormality in the rocker arm motor current can be detected. The load acts as a monitoring element in the circuit; when the rocker arm motor current of a particular electric window is abnormal, it causes an abnormality in the current of the entire circuit. By detecting the current abnormality, it is possible to determine which electric window's rocker arm current has a problem, and further, which electric window is in the closed state.

[0076] The specific setting of the current threshold depends on the design requirements and actual conditions of the motorized window server. It is typically determined based on the rated current and normal operating range of the rocker arm motor. By setting an appropriate current threshold, a method for detecting and identifying rocker arm motor malfunctions can be provided.

[0077] S4. If the magnetic induction intensity value is greater than the magnetic induction threshold and the current value is greater than the current threshold, then record the electric window as address N.

[0078] In this step, based on the previous judgment results, if the magnetic induction intensity value is greater than the magnetic induction threshold and the current value is greater than the current threshold, then the motorized window is recorded as address N. This indicates that the motorized window meets the conditions for the closed state and can be marked with a specific address.

[0079] The purpose of this step is to mark the motorized windows that meet the set conditions as address N for subsequent operation and identification. Recording the address N of a motorized window can be used to identify and control a specific motorized window, for example, controlling the opening and closing operation of the motorized window based on address N.

[0080] It should be noted that address N is an identifier representing a specific motorized window, used to identify or mark motorized windows that meet certain conditions. It can be a number, letter, or other symbol used to distinguish different motorized windows or groups of motorized windows.

[0081] Example 3:

[0082] refer to Figure 3 This application provides an address self-learning method for electrically powered multi-window systems, comprising the following steps:

[0083] S1. Control any one of multiple electric windows to be in the closed state;

[0084] In this step, the user can send control signals via buttons, remote control, or other control devices to enable the server to close any one of the multiple motorized windows. The purpose is to ensure that any one of the motorized windows is in a closed state, providing a baseline state for subsequent data collection and analysis. By selecting a closed motorized window as the starting point, it is ensured that at least one motorized window is in a closed state at the beginning.

[0085] S20. Collect the Hall magnetic field of the electric window in the closed state and determine whether the magnetic induction intensity value of the Hall magnetic field is greater than the magnetic induction threshold.

[0086] The purpose of this step is to collect the Hall magnetic field of the motorized window when it is closed and determine whether its magnetic flux density exceeds a preset magnetic flux threshold. By comparing the magnetic flux density with the threshold, it can be determined whether the motorized window is closed. If the magnetic flux density exceeds the threshold, it indicates that the motorized window is closed, and the next step of current detection can be performed.

[0087] S30. Collect the rocker arm current of the electric window in the closed state, and determine whether the current value of the rocker arm current is greater than the current threshold.

[0088] The purpose of this step is to collect the current of the motorized window's rocker arm when it is closed and determine whether the current value exceeds a preset current threshold. By comparing the rocker arm current with the threshold, it can be determined whether the motorized window's rocker arm motor is working properly. If the rocker arm current exceeds the threshold, it indicates that there is an abnormality in the motorized window's rocker arm motor, and it can be further confirmed which motorized window is in the closed state.

[0089] S4. If the magnetic induction intensity value is greater than the magnetic induction threshold and the current value is greater than the current threshold, then record the electric window as address N.

[0090] The purpose of this step is to determine whether the magnetic field strength and rocker arm current of the motorized window simultaneously meet the set threshold conditions. If both the magnetic field strength and rocker arm current exceed the threshold, the motorized window is recorded as address N. This allows motorized windows that meet the conditions to be identified and further processed or configured.

[0091] S401. Determine if all electric windows are paired;

[0092] In this step, the server checks whether all motorized windows have been paired and tagged. It determines if any unpaired motorized windows exist by checking server records or status. The purpose of this step is to determine if further pairing is needed. Alternatively, users can also manually determine if all motorized windows have been paired.

[0093] S402. If there is an unpaired electric window, control the second electric window to be closed and return to step S20.

[0094] In this step, if an unpaired motorized window exists, the server selects the next unpaired motorized window, closes it, and returns to step S20 to detect the Hall magnetic field and rocker arm current. This process continues until all motorized windows are paired and marked.

[0095] It's important to note that the second motorized window refers to the next unpaired motorized window in the server's database. When the server detects an unpaired motorized window, it selects the next unpaired one to process. In other words, it's not necessarily the second motorized window in the server's database, but rather the next unpaired motorized window awaiting processing.

[0096] S403. If all power windows are already paired, stop pairing.

[0097] In this step, once all motorized windows have been paired and the corresponding records have been completed, the server will stop the pairing process. This means that the status and any abnormalities of all motorized windows have been determined, and subsequent operations or use can continue.

[0098] It should be noted that in this step,

[0099] Through the above steps, the server can detect and mark each motorized window individually. First, a closed motorized window is selected as the starting point, its Hall magnetic field and rocker arm current are collected, and it is determined whether a threshold condition is met. If the condition is met, the motorized window is recorded as address N. Then, the server detects other motorized windows one by one until all motorized windows are paired or it is confirmed that pairing is not possible. Finally, the server can provide the address N of each motorized window to indicate its status and any abnormal conditions, providing a reference for subsequent operations and management.

[0100] Compared to Example 1, the newly added steps S401, S402, and S403 are mainly used to detect and process whether all motorized windows have been paired. The purpose of these steps is to ensure that the server can complete the pairing operation and process any unpaired motorized windows.

[0101] Example 4:

[0102] refer to Figure 4 This application provides an address self-learning method for electrically powered multi-window systems, comprising the following steps:

[0103] S1. Control any one of multiple electric windows to be in the closed state;

[0104] S101. Receive the address pairing signal and enter the address pairing mode;

[0105] S20. Collect the Hall magnetic field of the electric window in the closed state and determine whether the magnetic induction intensity value of the Hall magnetic field is greater than the magnetic induction threshold.

[0106] S30. Collect the rocker arm current of the electric window in the closed state, and determine whether the current value of the rocker arm current is greater than the current threshold.

[0107] S4. If the magnetic induction intensity value is greater than the magnetic induction threshold, and the current value is greater than the current threshold, then record the motor window as address N.

[0108] S401. Determine if all electric windows are paired;

[0109] S402. If there is an unpaired electric window, control the second electric window to be closed and return to step S20.

[0110] S403. If all power windows are already paired, stop pairing.

[0111] In this embodiment, firstly, a control signal is used to select any one of the multiple motorized windows to close, ensuring that at least one motorized window is in a closed state. Then, the server enters address pairing mode, ready to begin the pairing process.

[0112] Next, the server collects Hall magnetic field and rocker arm current data for the closed motorized window. By determining whether the magnetic flux density of the Hall magnetic field exceeds a set threshold, and whether the current of the rocker arm exceeds a set threshold, the server can determine the status of the motorized window and the operation of the rocker arm motor.

[0113] If both the magnetic flux density and the rocker arm current of the motorized window meet the threshold conditions, the server will record the address of the motorized window. This allows the server to identify motorized windows that meet the conditions and perform subsequent processing or configuration.

[0114] During the pairing process, the server determines whether all motorized windows have been paired. If any motorized windows are not paired, the server selects the next unpaired window, closes it, and then returns to the data acquisition and judgment steps to pair the address of that motorized window.

[0115] Once all motorized windows have been successfully paired, the server stops the pairing process, meaning that all motorized windows have been assigned an address. This allows the server to proceed with other operations or enter normal operation mode.

[0116] Compared to Embodiment 3, this embodiment adds step S101. The server receives an address pairing signal from an external source. This signal can be sent via a button, remote control, or other control device. This means that the user can easily send a signal to the server to trigger the address pairing mode. By using common buttons, remote controls, or other control devices, users can easily send address pairing signals without complex operating procedures or professional skills. This provides convenience and ease of use, allowing users to quickly initiate the address pairing process and preventing server misjudgment that could cause the motorized multi-window to remain in address pairing mode, resulting in operational errors.

[0117] Example 5:

[0118] refer to Figure 5 This application provides an address self-learning method for electrically powered multi-window systems, comprising the following steps:

[0119] S1. Control any one of multiple electric windows to be in the closed state;

[0120] S101. Receive the address pairing signal and enter the address pairing mode;

[0121] S20. Collect the Hall magnetic field of the electric window in the closed state and determine whether the magnetic induction intensity value of the Hall magnetic field is greater than the magnetic induction threshold.

[0122] S201. If the magnetic induction intensity value is not greater than the magnetic induction threshold, then generate a window closing signal and return to step S1.

[0123] S30. Collect the rocker arm current of the electric window in the closed state, and determine whether the current value of the rocker arm current is greater than the current threshold.

[0124] S301. If the current value is not greater than the current threshold, generate a window closing signal and return to step S1.

[0125] S4. If the magnetic induction intensity value is greater than the magnetic induction threshold and the current value is greater than the current threshold, then record the electric window as address N.

[0126] S401. Determine if all electric windows are paired;

[0127] S402. If there is an unpaired electric window, control the second electric window to be closed and return to step S20.

[0128] S403. If all power windows are already paired, stop pairing.

[0129] In this embodiment, firstly, one of the multiple motorized windows is closed via a control signal to establish a baseline state. Next, the server receives an address pairing signal and enters address pairing mode. Then, by collecting the Hall magnetic field of the closed motorized window, the server determines whether the magnetic induction intensity value exceeds a magnetic induction threshold to determine if the motorized window is closed. If the magnetic induction intensity value is not greater than the threshold, the server generates a window-closing signal, returns to step S1, and continues the window-closing operation. Next, the server collects the rocker arm current of the closed motorized window and determines whether the current value is greater than a current threshold to detect whether the rocker arm motor of the motorized window is working properly. If the current value is not greater than the threshold, it indicates that the rocker arm motor is working properly but the motorized window is not closed; the server generates a window-closing signal, returns to step S1, and continues the window-closing operation. If both the magnetic induction intensity value and the current value are greater than the threshold, the motorized window is recorded as a specific address. Finally, the server determines whether all motorized windows have been paired. If there are unpaired motorized windows, it controls the next unpaired motorized window to close and returns to step S20 to continue collecting and determining the magnetic induction intensity. If all power windows are paired, pairing stops. The advantage of this embodiment is that it automates the pairing and configuration process for power windows, improving pairing accuracy and efficiency, simplifying the power window configuration steps, and saving users time and effort.

[0130] This embodiment adds steps S201 and S301 compared to embodiment four. Step S201 aims to determine whether the magnetic induction intensity value is not greater than a set magnetic induction threshold after collecting the Hall magnetic field of the electric window. If the magnetic induction intensity value does not exceed the threshold, it means that the Hall magnetic field of the electric window may be within the normal range, but the electric window is not completely closed. Therefore, the server generates a window-closing signal, requiring the electric window to be controlled back to the closed state, and returns to step S1 to continue operating other electric windows. The effect of this step is to ensure that all electric windows can be completely closed, avoiding omissions or misjudgments. Step S301 aims to determine whether the current value is not greater than a set current threshold after collecting the rocker arm current of the electric window. If the current value does not exceed the threshold, it means that the rocker arm motor of the electric window may be working normally, but the electric window is not completely closed. Therefore, the server generates a window-closing signal, requiring the electric window to be controlled back to the closed state, and returns to step S1 to continue operating other electric windows. The effect of this step is to ensure that all electric windows can be completely closed, avoiding omissions or misjudgments.

[0131] These two steps further confirm whether the motorized window is fully closed when detecting the arm current and magnetic induction intensity. If the current or magnetic induction intensity does not meet the set threshold conditions, the server will issue a window-closing signal, prompting the user to manually close the motorized window again. This judgment and feedback mechanism ensures the accurate and reliable closing status of the motorized window, improving server availability and operational accuracy.

[0132] refer to Figures 5 to 8 This application also provides an address self-learning device 100 for multiple motorized windows, which includes a control box 110, a Hall circuit 120, and a control circuit 130. The control box 110 controls any one of the multiple motorized windows to be in a closed state. The Hall circuit 120 collects the Hall magnetic field of the closed motorized window and determines whether the magnetic induction intensity value of the Hall magnetic field is greater than a magnetic induction threshold. The control circuit 130 collects the rocker arm current of the closed motorized window and determines whether the current value of the rocker arm current is greater than a current threshold.

[0133] The control box 110 is used to control any one of the multiple electric windows to be in the closed state. It can receive control signals from the user and send commands via buttons, remote controls, or other control devices to control the selected electric window to be in the closed state. The control box 110 is the core control unit of the entire system.

[0134] The Hall circuit 120 is used to acquire the Hall magnetic field of a closed motorized window and determine whether the magnetic flux density of the Hall magnetic field exceeds a preset magnetic flux threshold. The Hall magnetic field sensor can detect changes in the magnetic field around the motorized window and determine the window's state by measuring the magnetic flux density. If the magnetic flux density exceeds the threshold, the motorized window is closed normally; otherwise, an abnormality may exist.

[0135] The control circuit 130 is used to collect the rocker arm current of the electric window when it is closed and to determine whether the current value of the rocker arm current is greater than a preset current threshold. The rocker arm current sensor measures the current of the electric window rocker arm motor 160 to determine the operating status of the motor. If the current exceeds the threshold, it indicates that the current of the rocker arm motor 160 is abnormal; otherwise, the rocker arm motor 160 is in normal operation.

[0136] The purpose of this address self-learning device is to achieve address learning and status monitoring of multiple motorized windows by integrating a control box 110, a Hall effect circuit 120, and a control circuit 130. By collecting and judging the values ​​of the Hall magnetic field and the rocker arm current, the closed state of the motorized window and the operating status of the motor can be determined. Such a device can provide automated motorized window control and monitoring functions, improve the intelligence and reliability of the motorized window system, and enable users to manage and operate multiple motorized windows more conveniently.

[0137] Specifically, the address self-learning device 100 for the electric multi-window also includes a locking motor 140 and a handle assembly 150 disposed on the locking motor 140. The handle assembly 150 is rotatably connected to the locking motor 140, the locking motor 140 is electrically connected to the control box 110, and the locking motor 140 is electrically connected to the Hall circuit 120. The locking motor 140 is used to control the handle assembly 150 to close the electric window.

[0138] The locking motor 140 is an electric device used to control the locking status of the electric window. It is electrically connected to the control box 110, receives commands from the control box 110, and controls the locking status of the electric window according to the commands. The locking motor 140 typically has two operating modes: open and close, which can open or close the locking points of the electric window, thereby controlling the opening and closing state of the electric window.

[0139] Handle assembly 150 is a component mounted on locking motor 140, used to connect locking motor 140 and the locking device of the electric window. It mechanically transmits power from locking motor 140 to the locking points of the electric window, thereby enabling the closing operation of the electric window. Handle assembly 150 typically features an adjustable length or angle design to accommodate electric windows of different sizes and types.

[0140] In this embodiment, the locking motor 140 is equipped with a Hall circuit 120. The Hall circuit 120 is used to collect the magnetic field information of the handle assembly 150 controlled by the locking motor 140, and to determine the state of the electric window locking point by the change in magnetic induction intensity, such as whether the electric window is closed. The Hall circuit 120 can provide reliable magnetic field detection and status feedback to ensure that the locking motor 140 accurately controls the opening and closing operation of the electric window.

[0141] This self-learning address device 100 for motorized multi-windows integrates components such as a locking motor 140, a handle assembly 150, a control box 110, and a Hall effect circuit 120 to achieve intelligent control and automatic learning functions for the motorized windows. Users can send commands through the control box 110, which in turn controls the handle assembly 150 to open and close the motorized windows via the locking motor 140. Simultaneously, the Hall effect circuit 120 detects the magnetic field of the locking points, allowing real-time monitoring of the window's locking status to ensure safety and operational accuracy. This device provides a more convenient and intelligent motorized window control solution, enhancing user experience and comfort.

[0142] Specifically, the locking motor 140 includes a magnetic screw 141 and a Hall element 142 corresponding to the magnetic screw 141. When the electric window is in the closed state, the Hall element 142 detects the magnetic field conducted by the permanent magnet 170 to the magnetic screw 141. Specifically, the address self-learning device 100 for the electric multi-window also includes a permanent magnet 170. The electric window includes a window frame 180 and a window sash 190. The permanent magnet 170 is disposed in the window frame 180, and the locking motor 140 is disposed in the window sash 190. When the window frame 180 and the window sash 190 are in the closed state, that is, when the electric window is in the closed state, the magnetic screw 141 and the permanent magnet 170 are directly opposite each other, and the Hall element 142 detects the magnetic field conducted by the permanent magnet 170 to the magnetic screw 141.

[0143] The magnetic screw 141 is a special screw mounted on the locking motor 140. When the electric window is closed, the magnetic screw 141 corresponds to the locking point position of the electric window and is mechanically connected to the locking device of the electric window. The magnetic screw 141 generates a magnetic field for magnetic interaction with the Hall element 142 mentioned later.

[0144] The Hall element 142 is a sensor capable of sensing magnetic fields. In this embodiment, the Hall element 142, corresponding to the magnetic screw 141, is installed inside the locking motor 140 to detect the magnetic field conducted to the magnetic screw 141 at the power window locking point. When the power window is closed, the permanent magnet 170 on the power window corresponds to the magnetic screw 141, generating a magnetic field. The Hall element 142 can sense the presence of this magnetic field and feed it back to the Hall circuit 120 via an electrical signal.

[0145] The closed state of the electric window is detected by using the magnetic screw 141 and the corresponding Hall element 142. When the electric window is closed, the permanent magnet 170 corresponds to the magnetic screw 141, forming a magnetic field on the screw 141. At this time, the Hall element 142 installed inside the locking motor 140 can detect the presence of this magnetic field and convert the relevant information into an electrical signal. Thus, by detecting the change in the magnetic field at the locking point of the electric window, it can be determined whether the electric window is closed. This detection result can be used for the logic judgment of the control box 110, thereby accurately controlling the opening and closing operation of the locking motor 140 and ensuring the safe closure of the electric window.

[0146] This design allows for real-time monitoring of the opening and closing status of the electric window via magnetic field conduction, without relying on other sensors or physical contact. By introducing a magnetically conductive screw 141 and a Hall element 142 into the locking motor 140, simple and reliable electric window status detection can be achieved. This provides an effective way for the address self-learning device 100 for multiple electric windows to accurately learn and control the opening and closing operations of the electric windows.

[0147] Specifically, the address self-learning method for electric multi-windows also includes a rocker arm motor 160, which is electrically connected to the control box 110 and the control circuit 130. The rocker arm motor 160 is used to control the window sash 190 to rotate along the width or height of the window frame 180.

[0148] The rocker arm motor 160 is an electric device used to control the rotation of the window sash 190 along the width or height direction of the window frame 180. It is electrically connected to the control box 110 and the control circuit 130. The rocker arm motor 160 can receive commands from the control box 110 or the control circuit 130 and control the movement of the electric window sash 190 according to the commands. By controlling the rotation of the rocker arm motor 160, different window types of electric windows, such as casement windows, top-hung windows, or bottom-hung windows, can be controlled.

[0149] In this self-learning method, the rocker arm motor 160 controls the rotation of the window sash 190 to open and close the electric window. Connected to the control box 110 and control circuit 130, the rocker arm motor 160 can receive external control signals and rotate the window sash 190 according to the instructions. This method makes the opening and closing of the electric window more intelligent and automated.

[0150] In summary, this address self-learning method for motorized multi-windows combines a locking motor 140 and a handle assembly 150 to control the opening and closing of the motorized windows, while also incorporating a rocker arm motor 160 to control the rotation of the window sash 190. Through the electrical connections between the control box 110, the control circuit 130, and the various motorized devices, intelligent control and self-learning functions of the motorized windows are achieved. This integrated design provides a more efficient and intelligent operating experience for motorized windows, enhancing user comfort and convenience.

[0151] Please refer to Figure 9 Those skilled in the art will understand that implementing all or part of the processes in the above embodiments can be accomplished by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory 220, storage, database, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory 220. Non-volatile memory 220 may include read-only memory 220 (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory 220 may include random access memory 220 (RAM) or external cache memory 220. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0152] A computer device 200 includes a memory 220 and a processor 210. The memory 220 stores a computer program, and when the computer program is executed by the processor 210, the processor 210 performs the steps of the above-described method.

[0153] Figure 9 An internal structural diagram of a computer device 200 in one embodiment is shown. This computer device 200 can specifically be a terminal or a server. Figure 7As shown, the computer device 200 includes a processor 210, a memory 220, and a network interface connected via a system bus. The memory 220 includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor 210, this computer program enables the processor 210 to implement an address self-learning method for electric multi-window operation. The internal memory 220 may also store a computer program, which, when executed by the processor 210, enables the processor 210 to implement the address self-learning method for electric multi-window operation. Those skilled in the art will understand that... Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device 200 to which the present application is applied. The specific computer device 200 may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

Claims

1. An address self-learning method for electrically powered multi-window applications, characterized in that, Includes the following steps: S1. Control any one of multiple electric windows to be in the closed state; S2. Collect the closing state test information of the electric window that is in the closed state, and determine whether the closing state test information meets the preset information; S3. Collect the stall force information of the electric window in the closed state, and determine whether the stall force information is abnormal; S4. If the closed state test information matches the preset information and the stall force information is abnormal, then record the address of the electric window as N.

2. The address self-learning method for motorized multi-windows according to claim 1, characterized in that, Step S4 further includes: Determine if all power windows are paired; If an electric window is not paired, the second electric window is controlled to be closed, and the process returns to step S2. If all power windows are already paired, then pairing stops.

3. The address self-learning method for motorized multi-windows according to claim 1, characterized in that, Step S1 further includes: Upon receiving the address pairing signal, the device enters address pairing mode.

4. The address self-learning method for motorized multi-windows according to claim 1, characterized in that, Step S2 further includes: Collect the Hall magnetic field of the electric window in the closed state, and determine whether the magnetic induction intensity value of the Hall magnetic field is greater than the magnetic induction threshold. If the magnetic induction intensity is greater than the magnetic induction threshold, then proceed to step S3; If the magnetic induction intensity value is not greater than the magnetic induction threshold, a window closing signal is generated, and the process returns to step S1.

5. The address self-learning method for motorized multi-windows according to claim 1, characterized in that, Step S3 further includes: Collect the rocker arm current of the electric window in the closed state, and determine whether the current value of the rocker arm current is greater than the current threshold. If the current value is greater than the current threshold, then proceed to step S4; If the current value is not greater than the current threshold, a window closing signal is generated, and the process returns to step S1.

6. An address self-learning device with multiple motorized windows, characterized in that, The address self-learning device for the electrically powered multi-window system as described in any one of claims 1-5 comprises: The control box is used to control any one of multiple electric windows to be in the closed state. Hall effect circuits are used to collect the Hall magnetic field of an electric window that is closed and to determine whether the magnetic flux density of the Hall magnetic field is greater than the magnetic flux threshold. The control circuit is used to collect the rocker arm current of the electric window when it is closed, and to determine whether the current value of the rocker arm current is greater than the current threshold. The control box is connected to both the Hall circuit and the control circuit.

7. The address self-learning device for electric multi-window according to claim 6, characterized in that, The address self-learning device for the electric multi-window also includes a locking motor and a handle assembly mounted on the locking motor. The locking motor is electrically connected to the control box and the Hall circuit. The locking motor is used to control the handle assembly to close the electric window.

8. The address self-learning device for electric multi-window according to claim 7, characterized in that, The locking motor includes a magnetic screw and a Hall element corresponding to the magnetic screw. When the electric window is in the closed state, the Hall element detects the magnetic field on the magnetic screw.

9. A computer-readable storage medium, characterized in that, The device stores a computer program that, when executed by a processor, causes the processor to perform the steps of the address self-learning method for the electric multi-window as described in any one of claims 1 to 5.

10. A computer device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the address self-learning method of the electric multi-window as described in any one of claims 1 to 5.

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