LED bulb lamp network access system

Abstract

The application relates to the technical field of LED bulb lamp network access, and particularly discloses an LED bulb lamp network access system, which comprises a network access and pairing module, a regulation instruction type confirmation module, a regulation instruction response confirmation module, a network response delay judgment module, an LED bulb lamp brightness evaluation module and a brightness unevenness reason confirmation module; when the LED bulb lamp receives multiple regulation instructions at the same time, the LED bulb lamp responds to the regulation instruction according to the distance and signal strength of the received regulation instruction and the historical connection condition of the mobile phone terminal sending the instruction, and when the response of the LED bulb lamp has network delay, the self-diagnosis operation of the LED bulb lamp is performed, the LED bulb lamp network is automatically restarted, the accuracy and intelligence of the LED bulb lamp control are improved, the user is prevented from having a bad control experience, the satisfaction of the user to the intelligent lighting system and the overall operation efficiency of the system are improved.

Description

Technical Field

[0001] This invention relates to the field of LED bulb network access technology, and more specifically, to an LED bulb network access system. Background Technology

[0002] With the rapid development of smart home technology, intelligent control of LED bulbs, as commonly used lighting devices, has become a trend. However, some existing smart lighting systems suffer from poor network compatibility, unstable connections, and insufficient security. For example, some bulbs only support a single network protocol, making seamless integration difficult in complex home network environments. Therefore, to provide users with a convenient, intelligent, and secure lighting control experience, it is necessary to develop a new type of LED bulb network access system.

[0003] The existing technology still has the following problems: 1. When the LED bulb receives a connection request from a mobile terminal, the connection security of the mobile terminal making the connection request is not assessed. That is, when the mobile terminal making the connection request has never connected to the LED bulb before, the connection password of the LED bulb needs to be entered. Otherwise, the connection security of the LED bulb cannot be guaranteed, and it is impossible to prevent hackers from intruding into other smart devices in the home network, thereby causing more serious security problems.

[0004] 2. When an LED bulb receives multiple control commands at the same time, it currently only responds according to the order in which the commands are received. It does not evaluate which command the LED bulb should respond to based on the distance and signal strength of the received commands, as well as the historical connection status of the mobile terminal that sent the commands. This reduces the accuracy of LED bulb control, which may lead to a poor control experience for users, reduce user satisfaction with the intelligent lighting system, and reduce the overall operating efficiency of the system.

[0005] 3. Currently, when there is network latency in the response of LED bulbs, relying solely on manual restart by the user cannot perform self-diagnosis of the LED bulbs or automatically restart the LED bulb network. This reduces the intelligence of LED bulb control. Without an automatic restart function, the bulbs may remain in this high-energy-consumption abnormal state until the user manually restarts them, resulting in energy waste. Summary of the Invention

[0006] In view of this, in order to solve the problems mentioned in the background technology, an LED bulb network access system is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides an LED bulb network access system, comprising:

[0008] The network access and pairing module extracts the set of MAC addresses of mobile terminals that have been successfully paired with LED bulbs in the target household area within the historical connection period; when a connection request is received from a mobile terminal, the module extracts the MAC address of the requesting terminal and matches it with the set; if the match is successful, the connection is automatically established; otherwise, a password verification process is triggered.

[0009] The control command type confirmation module extracts the MAC address of the mobile terminal from which the command originated after the LED bulb receives a control command. If the command comes from a single terminal, the command is executed; if it comes from multiple terminals, the control command response confirmation module is triggered.

[0010] The control command response confirmation module marks each mobile terminal that sends the command as a target terminal, obtains the real-time distance between each target terminal and the LED bulb through Bluetooth positioning technology, and collects the received signal strength of each command through network communication; combined with historical control information, it calculates the control priority of each target terminal and selects the highest priority command to execute.

[0011] The network response delay judgment module records the time of receiving the control command and the time of response completion, and calculates the response waiting time; if the time exceeds the preset threshold, the LED bulb network is restarted.

[0012] The LED bulb brightness evaluation module uses an industrial camera to vertically capture images of the light-emitting bulb and obtain images of its luminous surface. Image analysis software is then used to extract the brightness values ​​of each pixel and calculate the brightness uniformity. If the brightness is below a preset standard, a cause diagnosis is triggered.

[0013] The brightness unevenness cause confirmation module collects the timing voltage data of the LED bulb's input, obtains its thermal image, and diagnoses the cause of brightness unevenness by combining voltage stability and heat dissipation anomaly index.

[0014] Compared with the prior art, the present invention has at least the following advantages or beneficial effects:

[0015] (1) When the LED bulb receives a connection request from a mobile terminal, if the mobile terminal making the connection request has never connected to the LED bulb before, it needs to enter the connection password of the LED bulb. This allows the connection security of the mobile terminal making the connection request to be assessed, ensuring the connection security of the LED bulb and preventing hackers from intruding into other smart devices in the home network, thereby causing more serious security problems.

[0016] (2) The present invention improves the accuracy of LED bulb control by evaluating which control command the LED bulb should respond to based on the distance and signal strength of the received control commands and the historical connection status of the mobile terminal that sent the command when the LED bulb receives multiple control commands at the same time, avoids giving users a bad control experience, improves users' satisfaction with the intelligent lighting system, and improves the overall operating efficiency of the system.

[0017] (3) The present invention performs a self-diagnostic operation on the LED bulb when there is a network delay in the response of the LED bulb, thereby automatically restarting the LED bulb network, improving the intelligence of LED bulb control, and avoiding the LED bulb from being in such an abnormal state of high energy consumption, which would lead to energy waste. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments 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.

[0019] Figure 1 This is a schematic diagram of the system module structure connection of the present invention.

[0020] Figure 2 This is a flowchart of the network response delay judgment process of the present invention.

[0021] Figure 3 This is a flowchart illustrating the pairing process between the LED bulb and the mobile terminal of this invention. Detailed Implementation

[0022] 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.

[0023] Please see Figure 1 As shown, the present invention provides an LED bulb network access system, including: a network access and pairing module, a control command type confirmation module, a control command response confirmation module, a network response delay judgment module, an LED bulb brightness evaluation module, and a brightness unevenness cause confirmation module.

[0024] The network access and pairing module is connected to the control command type confirmation module, the control command type confirmation module is connected to the control command response confirmation module, the control command response confirmation module is connected to the network response delay judgment module, the network response delay judgment module is connected to the LED bulb brightness evaluation module, and the LED bulb brightness evaluation module is connected to the brightness unevenness cause confirmation module.

[0025] The network access and pairing module is used to extract the set of MAC addresses of mobile terminals that have been successfully paired with LED bulbs in the target household area during the historical connection period; when a connection request is received from a mobile terminal, the MAC address of the requesting terminal is extracted and matched with the set; if the match is successful, the connection is automatically established; otherwise, a password verification process is triggered.

[0026] It should be noted that the set of MAC addresses of mobile terminals connected to the LED bulbs in the target household area during the historical connection period, as well as the MAC addresses of mobile terminals requesting connection, were extracted from the operation logs of the LED bulbs.

[0027] Please see Figure 3 As shown in the specific embodiment of the present invention, the specific process of pairing the LED bulb in the target home area with the mobile terminal requesting the connection is as follows: the MAC address of the mobile terminal requesting the connection is compared with the set of MAC addresses of mobile terminals connected to the LED bulb in the target home area during the historical connection period. If the MAC address of the mobile terminal requesting the connection is within the set of MAC addresses of mobile terminals connected to the LED bulb in the historical connection period, the LED bulb and the mobile terminal requesting the connection will automatically connect. If the MAC address of the mobile terminal requesting the connection is not within the set of MAC addresses of mobile terminals connected to the LED bulb in the historical connection period, a password input prompt is sent to the mobile terminal requesting the connection. If the password entered by the mobile terminal requesting the connection is correct, the connection with the LED bulb will be successful. If the password entered by the mobile terminal requesting the connection is incorrect, a password error prompt is sent to the mobile terminal requesting the connection, and the password is re-entered.

[0028] This invention assesses the connection security of an LED bulb by requiring the user to enter a connection password when the LED bulb receives a connection request from a mobile terminal, provided the mobile terminal has never connected to the LED bulb before. This ensures the connection security of the LED bulb and prevents hackers from intruding into other smart devices on the home network, thus avoiding more serious security problems.

[0029] The control command type confirmation module is used to extract the MAC address of the mobile terminal that sent the control command after the LED bulb in the target household area receives the control command, and determine whether the LED bulb is a single control command type or a multi-control command type. If it is a single control command type, the LED bulb executes the received control command; if it is a multi-control command type, the control command response confirmation module is executed.

[0030] It should be noted that the MAC address of the mobile terminal corresponding to the control command is extracted from the operation log of the LED bulb.

[0031] In a specific embodiment of the present invention, the method for determining whether an LED bulb is a single control command type or a multi-control command type is as follows: if the MAC address of the mobile terminal to which the control command is sent is the same MAC address, then the LED bulb is a single control command type; if the MAC address of the mobile terminal to which the control command is sent is not the same MAC address, then the LED bulb is a multi-control command type.

[0032] The control command response confirmation module is used to mark each mobile terminal that sends the command as a target terminal, obtain the real-time distance between each target terminal and the LED bulb through Bluetooth positioning technology, and collect the received signal strength of each command through network communication; combined with historical control information, it calculates the control priority of each target terminal and selects the highest priority command to execute.

[0033] It should be noted that the distance between the LED bulb and each target terminal is extracted by ensuring that the Bluetooth of both the LED bulb and each target terminal is turned on, and by using Bluetooth positioning technology, the distance can be determined by broadcasting and receiving Bluetooth signals.

[0034] It should also be noted that the method for extracting the signal strength of the LED bulb when it receives the corresponding control command from each target terminal is as follows: In the network communication module of the LED bulb, these chips can directly obtain the RSSI value of the received target terminal signal. When the target terminal sends the control command, the communication module can obtain the RSSI value from the chip's register or through the interface function provided by the chip while receiving the command.

[0035] In a specific embodiment of the present invention, the historical control information includes the total number of control operations, the MAC address of the mobile terminal for each control command, and the time of receipt.

[0036] It should be noted that the total number of control operations, the MAC address of the mobile terminal for each control command, and the receiving time were all extracted from the operation log of the LED bulb.

[0037] In a specific embodiment of the present invention, the specific process of confirming the control command corresponding to the LED bulb light in the target household area is as follows:

[0038] A1: Based on historical control information, calculate the historical control frequency of each target terminal. Its value is generated by combining the following parameters:

[0039] (a) The proportion of the terminal’s historical adjustment times to the total number of times.

[0040] (b) The minimum time interval between two consecutive adjustments of the terminal.

[0041] The specific process for calculating the historical control frequency corresponding to each target terminal is as follows:

[0042] The minimum time interval must meet the minimum operating interval standard allowed by the equipment.

[0043] The proportion of the terminal's historical control frequency to the total frequency and the minimum time interval are calculated using an exponential function for normalization.

[0044] In one specific embodiment, the exponential function in this invention can be a natural exponential function, whose independent variable is the result value obtained by linear weighting the proportion of historical regulation times to the total number of times and the minimum time interval between two adjacent regulation times.

[0045] In this invention, the weights can be determined based on expert experience, such as by pre-setting the weight coefficients based on historical regulation data analysis or domain knowledge; alternatively, the optimal weight coefficients can be determined by training a machine learning model using a historical regulation dataset. The specific process includes: extracting parameters and samples corresponding to each mobile terminal from the historical dataset; assigning a label value representing the actual frequency of regulation to each sample based on business rules or manual annotation; constructing an optimization model with adjustable weight coefficient parameters, aiming to minimize the error between the predicted value and the label, with the least squares method being a commonly used optimization algorithm; solving the optimization model to obtain the optimal solution of the weight coefficients that minimizes the prediction error, and using this as the corresponding optimal weight coefficient.

[0046] It should be noted that the total number of control operations, the MAC address of the mobile terminal sending each control command, and the receiving time are extracted from the historical control information of the LED bulb. The MAC address of the mobile terminal sending each control command for the LED bulb is compared with the MAC address of each target terminal to obtain the number of LED bulb control operations and the control time of each LED bulb for each target terminal. When the LED bulb receives a control command, the command data includes the MAC address information of the mobile terminal sending the command. After receiving the control command, the MAC address of the mobile terminal in the command is extracted. Then, this MAC address is compared one by one with the pre-stored list of MAC addresses corresponding to each target terminal to obtain the number of control commands sent for each target terminal. These are accumulated to obtain the number of LED bulb control operations for each target terminal. Simultaneously, the time of receiving the command is used as the LED bulb control time of the target terminal and stored in the time point data sequence associated with the target terminal, thus obtaining the control time of each LED bulb for each target terminal.

[0047] A2: Based on the distance between the LED bulb and each target terminal and the signal strength when sending the control command, calculate the current control reliability of each target terminal. Its value is generated by combining the following parameters:

[0048] (a) The negative correlation factor between the distance between the terminal and the LED bulb and the average distance.

[0049] (b) The positive correlation factor between the terminal signal strength and the average strength.

[0050] The specific process for calculating the current control reliability of each target terminal is as follows:

[0051] A negative correlation model between distance and reliability is established, so that the reliability value decreases exponentially as the terminal moves further away from the LED bulb, and the rate of decrease is positively correlated with the relative deviation between the current distance and the average distance.

[0052] A positive correlation model between signal strength and reliability is established, so that the reliability value increases exponentially with the increase of signal strength, and the growth rate is positively correlated with the relative deviation between the current signal strength and the average signal strength.

[0053] The current control reliability is generated by summing the outputs of the distance factor model and the signal strength factor model.

[0054] In this invention, the negative correlation model between distance and reliability can be a natural exponential function with the relative deviation between the current distance and the average distance as the independent variable; the positive correlation model between signal strength and reliability can be a natural exponential function with the relative deviation between the current signal strength and the average strength as the independent variable.

[0055] A3: The frequency of historical regulation and the reliability of current regulation are weighted and averaged according to preset weights to obtain the regulation priority corresponding to each target terminal. The specific method of obtaining the preset weights is existing technology, which is also reflected in the above content, and will not be elaborated on here.

[0056] A4: Select the instruction corresponding to the highest control priority to execute.

[0057] This invention improves the accuracy of LED bulb control by evaluating which control command the LED bulb should respond to when it receives multiple control commands simultaneously, based on the distance and signal strength of the received commands and the historical connection status of the mobile terminal that sent the commands. This avoids a poor control experience for users, increases user satisfaction with the intelligent lighting system, and improves the overall operating efficiency of the system.

[0058] Please see Figure 2 As shown, the network response delay judgment module is used to extract the receiving time of the control command corresponding to the LED bulb in the target household area and the time after the LED bulb completes the response action, and to determine whether there is a delay in the LED bulb response. If there is, the LED bulb network is automatically restarted; if not, the LED bulb brightness evaluation module is executed.

[0059] It should be noted that the time points for receiving the control commands and completing the response actions of the LED bulbs in the target household area are both extracted from the LED bulb operation logs.

[0060] In a specific embodiment of the present invention, the method for determining whether there is a delay in the response of the LED bulb is as follows: the receiving time of the control command corresponding to the LED bulb in the target household area is compared with the time after the LED bulb completes the response action to obtain the response waiting time of the LED bulb, and then compared with the set reference response waiting time. If the response waiting time of the LED bulb is greater than the set reference response waiting time, it indicates that there is a delay in the response of the LED bulb; otherwise, it indicates that there is no delay in the response of the LED bulb.

[0061] The method for calculating the LED bulb response waiting time is as follows: the LED bulb's built-in timing unit generates a receiving timestamp when the target terminal completes parsing the control command;

[0062] A response completion timestamp is generated when the target terminal completes its action, using feedback signals from the drive circuit or optical sensors; the absolute difference between the response completion timestamp and the received timestamp is used as the response waiting time.

[0063] This invention improves the intelligence of LED bulb control by performing a self-diagnostic operation on the LED bulb when there is a network delay in the LED bulb's response, thereby automatically restarting the LED bulb network and preventing the LED bulb from being in a high-energy-consumption abnormal state, which would otherwise lead to energy waste.

[0064] The LED bulb brightness evaluation module is used to take pictures of the LED bulbs in the target household area, locate the brightness value of each pixel in the acquired LED bulb image, evaluate whether the brightness of the LED bulb is uniform, and if it is not uniform, execute the brightness non-uniformity cause confirmation module.

[0065] It should be noted that the process involves using an industrial camera with an image sensor to photograph the luminous LED bulb. When taking the picture, it is important to ensure that the camera is perpendicular to the light-emitting surface of the bulb and that the lighting conditions of the shooting environment are relatively stable to avoid interference from other light sources. The captured image is then transmitted to a computer and processed using specialized image analysis software. This software can convert the brightness information in the image into digital signals, thereby obtaining the brightness value of each pixel in the image.

[0066] Calculate the standard deviation of the brightness values ​​of all pixels; calculate the relative deviation between the standard deviation and the preset threshold, and use the relative deviation as the independent variable to enter the natural exponential function, and use the result as the brightness uniformity; if the uniformity is lower than the preset standard, it is judged as non-uniformity and the cause diagnosis is triggered.

[0067] It should be noted that the brightness standard deviation set as a reference is specified in the production standard for LED bulb lamps in the target household area.

[0068] It should be noted that the brightness uniformity set as a reference is specified in the production standards for LED bulb lamps in the target household area.

[0069] The brightness unevenness cause confirmation module is used to collect the voltage of the LED bulb inlet in the target household area at each monitoring time point, and to collect the thermal image of the LED bulb during operation to confirm the cause of the brightness unevenness of the LED bulb and provide feedback.

[0070] It should be noted that the voltage at the LED bulb inlet of the target household area at each monitoring time point is collected by a voltage sensor, and the thermal image of the LED bulb during operation is collected by an infrared thermometer. The thermal image refers to the thermal image of the LED bulb sphere during operation.

[0071] In a specific embodiment of the present invention, the specific process for confirming the cause of uneven brightness in the LED bulb is as follows:

[0072] E1. Calculate the deviation between the timing voltage data and the reference voltage, and use the standard deviation of each deviation as the stability of the input voltage.

[0073] E2. Acquire the thermistor image sequence of the LED bulb during operation. Identify connected regions exceeding the temperature threshold boundary using an image segmentation algorithm and mark them as abnormal temperature zones. Calculate the geometric area of ​​each abnormal temperature zone and extract the highest temperature value within each zone. Select abnormal temperature zones whose area or highest temperature value exceeds a preset threshold as valid abnormal zones. Count the number of valid abnormal zones, substitute this number as an independent variable into the natural exponential function, and use the result as the heat dissipation anomaly index.

[0074] E3. If the voltage stability is not up to standard and the heat dissipation anomaly index is not exceeded, the cause of uneven brightness is unstable voltage; if the heat dissipation anomaly index exceeds the standard and the voltage stability is up to standard, the cause of uneven brightness is abnormal heat dissipation; if both exceed the standard, the cause of uneven brightness is a combination of factors.

[0075] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0076] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0077] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0078] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0079] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0080] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An LED bulb lamp network access system, characterized in that, The application relates to a method for controlling a LED ball lamp in a target home area, comprising the following steps: extracting a set of MAC addresses of mobile terminals which have successfully paired with the LED ball lamp in a historical connection period; when receiving a connection request of a mobile terminal, extracting the MAC address of the requesting terminal and matching it with the set; if the matching is successful, automatically connecting, otherwise triggering a password verification process; after the LED ball lamp receives a control instruction, extracting the MAC address of the mobile terminal from which the instruction is sent; if the instruction is from a single terminal, executing the instruction, if the instruction is from multiple terminals, triggering a control instruction response confirmation module; marking each mobile terminal sending an instruction as a target terminal, obtaining the real-time distance between each target terminal and the LED ball lamp through Bluetooth positioning technology, and collecting the received signal strength of each instruction through network communication; combining historical control information, calculating the control priority of each target terminal, and selecting the instruction with the highest priority to execute; recording the control instruction receiving time and response completion time, calculating the response waiting time; if the time exceeds a preset threshold, restarting the LED ball lamp network; vertically shooting the light-emitting ball lamp through an industrial camera to obtain the light-emitting surface image of the ball lamp; extracting the brightness value of each pixel point through image analysis software, calculating the brightness uniformity, and triggering a cause diagnosis if the brightness uniformity is lower than a preset standard; collecting the timing voltage data of the LED ball lamp, obtaining a thermal image, and combining the voltage stability and abnormal heat dissipation index to diagnose the reason for the uneven brightness; the historical control information comprises the total control times, the MAC address of the mobile terminal of each control instruction and the receiving time point; the specific process of confirming the control instruction corresponding to the response of the LED ball lamp in the target home area is as follows: A1: based on the historical control information, calculating the historical control frequency of each target terminal, which is generated by the following parameters: (a) the proportion of the historical control times of the terminal in the total times; (b) the minimum time interval between the adjacent two controls of the terminal; A2: based on the distance between the LED ball lamp and each target terminal and the signal strength when sending the control instruction, calculating the current control reliability of each target terminal, which is generated by the following parameters: (a) the negative correlation factor of the distance between the terminal and the LED ball lamp relative to the average distance; (b) the positive correlation factor of the signal strength of the terminal relative to the average strength; A3: weighting and averaging the historical control frequency and the current control reliability according to a preset weight to obtain the control priority of each target terminal; A4: selecting the instruction corresponding to the highest control priority to execute; the specific process of calculating the historical control frequency of each target terminal is as follows: the minimum time interval needs to meet the minimum operation interval standard allowed by the equipment; the proportion of the historical control times of the terminal in the total times and the minimum time interval are normalized and combined by an exponential function. The specific process for calculating the current control reliability of each target terminal is as follows: A negative correlation model between distance and reliability is established, so that the reliability value decreases exponentially as the terminal moves further away from the LED bulb, and the attenuation rate is positively correlated with the relative deviation between the current distance and the average distance; a positive correlation model between signal strength and reliability is established, so that the reliability value increases exponentially as the signal strength increases, and the growth rate is positively correlated with the relative deviation between the current signal strength and the average strength; the outputs of the distance factor model and the signal strength factor model are summed to generate the current control reliability.

2. The LED bulb lamp network access system according to claim 1, characterized in that: The specific process for pairing the LED bulbs in the target household area with the mobile terminal requesting the connection is as follows: The target terminal MAC address of the connection request is matched and compared with the set of target terminal MAC addresses that were connected to the LED bulbs in the target home area during the historical connection period. If the match is successful, the LED bulb will automatically establish a connection with the target terminal; If the match fails, a password input prompt will be sent to the requesting terminal; If the password verification is successful, a connection will be established; otherwise, an error message will be returned and the password will be re-verified.

3. The LED bulb lamp network access system according to claim 1, characterized in that: The method to determine whether an LED bulb is a single-control command type or a multi-control command type is as follows: If the MAC address of the mobile terminal to which the control command is sent is the same, then the LED bulb is a single control command type. If the MAC address of the mobile terminal to which the control command is sent is not the same, then the LED bulb is a multi-control command type.

4. The LED bulb lamp network access system according to claim 1, characterized in that: The method for calculating the response wait time of an LED bulb is as follows: Extract the receiving time point of the control command corresponding to the LED bulb; Extract the time point after the LED bulb completes its response action; The response waiting time is calculated by comparing the time when the LED bulb in the target household area receives the control command and the time when the LED bulb completes the response action.

5. The LED bulb lamp network access system according to claim 1, characterized in that: The process for evaluating whether the brightness of an LED bulb is uniform is as follows: Calculate the standard deviation of the brightness values ​​of all pixels; Calculate the relative deviation between the standard deviation and the preset threshold, and substitute the relative deviation as the independent variable into the natural exponential function, and use the result as the brightness uniformity. If the uniformity is lower than the preset standard, it is judged as non-uniform and the cause diagnosis is triggered.

6. The LED bulb lamp network access system according to claim 5, wherein: The specific process for identifying the cause of uneven brightness in LED bulbs is as follows: E1. Calculate the deviation between the timing voltage data and the reference voltage, and use the standard deviation of each deviation as the stability of the input voltage. E2. Obtain the thermal image sequence of the LED bulb during operation, and identify connected regions that exceed the temperature threshold boundary through image segmentation algorithm, marking them as abnormal temperature areas; Calculate the geometric area of ​​each abnormal temperature zone, extract the highest temperature value in each abnormal temperature zone, and filter out abnormal temperature zones whose area exceeds a preset threshold or whose highest temperature value exceeds a preset threshold as valid abnormal zones. The number of valid anomalies is counted, and the number of valid anomalies is substituted into the natural exponential function as the independent variable. The result is used as the heat dissipation anomaly index. E3. If the voltage stability is not up to standard and the heat dissipation anomaly index is not exceeded, the cause of uneven brightness is unstable voltage; if the heat dissipation anomaly index exceeds the standard and the voltage stability is up to standard, the cause of uneven brightness is abnormal heat dissipation; if both exceed the standard, the cause of uneven brightness is a combination of factors.

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