Intelligent WIFI module signal optimization system

Abstract

The present application relates to the field of network information security, and more particularly to a kind of intelligent WIFI module signal optimization system, comprising: signal enhancement hardware module: for enhancing the signal of WiFi from physical level, increase the coverage area and range of WiFi signal;Environment perception module: for real-time collection of current WiFi signal environment, uninterrupted monitoring and evaluation of the wireless signal quality around the module, and the data of monitoring and evaluation are collected and processed.Two antenna-received fading signals are independent of each other, when one antenna is in signal blind area or wall thickness is thicker, so that signal reception quality is poor, antenna diversity unit will automatically replace antenna, through another antenna to receive signal transmission autonomously, so that the strongest signal in two antennas is replaced autonomously, so that the antenna with stronger signal at present communicates, thereby effectively eliminating the dead angle of coverage.

Description

Technical Field

[0001] This invention belongs to the field of network information security technology, specifically a smart WIFI module signal optimization system. Background Technology

[0002] With the trend of deep integration of the Internet of Things and digital life, WIFI modules, as the core component for smart terminal networking, have been widely used in many scenarios such as smart homes, industrial IoT, and smart wearables. However, with the explosive growth in the number of connected devices and the continuous expansion of complex application scenarios (such as large residential houses, office areas with multiple walls, and industrial plants), existing WIFI modules are gradually revealing two key problems: On the one hand, signal coverage is insufficient. Traditional WIFI modules mostly adopt a single antenna design and fixed power transmission mode, making the signal susceptible to interference from walls, metal obstacles, etc., resulting in coverage blind spots. In complex spatial environments, the signal attenuation is severe, leading to unstable connections or inability to access the network in some areas. According to industry survey data, more than 60% of users have reported problems with incomplete WIFI signal coverage, and more than 30% of network failures are directly related to poor signal transmission. On the other hand, signal transmission efficiency is low. When multiple devices connect concurrently, the channel allocation mechanism of traditional WIFI modules lacks flexibility, which can easily lead to channel congestion, signal interference, and other problems. This results in large fluctuations in data transmission rate and increased latency, making it difficult to meet the needs of high-speed, low-latency services such as 4K video projection, real-time data transmission of industrial equipment, and VR / AR. Meanwhile, terminal manufacturers face the dual pressures of "experience upgrades" and "cost control." They need to improve the signal performance of Wi-Fi modules to enhance product competitiveness, while avoiding excessive increases in hardware costs that could lead to product premiums. Therefore, developing intelligent Wi-Fi module signal optimization systems that combine signal coverage optimization, transmission efficiency improvement, and cost control has become an urgent need for the industry.

[0003] Therefore, the present invention provides an intelligent WIFI module signal optimization system. Summary of the Invention

[0004] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0005] The technical solution adopted by this invention to solve its technical problem is: a smart WIFI module signal optimization system according to this invention, comprising: Signal enhancement hardware module: Used to enhance WiFi signals at the physical level, increasing the coverage area and range of WiFi signals; Environmental sensing module: used to collect real-time data on the current WiFi signal environment, continuously monitor and evaluate the wireless signal quality around the module, and collect and process the monitored and evaluated data. Intelligent decision-making algorithm module: used to perform systematic calculations and logical judgments on the environmental data collected by the environmental perception module, and to make optimal signal adjustment processing via WiFi; Anti-interference processing module: used to optimize the frequency hopping and signal interference of various external signals through physical layer and link layer techniques; The intelligent decision-making algorithm module includes a dynamic power adjustment unit, an intelligent channel selection unit, and a rate adaptive unit. The dynamic power adjustment unit is used for PID control algorithm. Based on the data results detected by the environmental perception module, it dynamically adjusts the power of the WiFi signal. The adjusted transmission power range is 1~22dBm. At the same time, it automatically increases the WiFi signal power when the WiFi signal is weak and automatically reduces the WiFi power when the WiFi signal is strong to reduce radiation and energy consumption. The intelligent channel selection unit is used to combine signal-to-noise ratio and network load balancing strategies to automatically avoid congested channels and interference sources and switch to the optimal transmission channel. The rate adaptive unit is used to dynamically negotiate the transmission rate based on signal quality, supporting smooth switching between 802.11b / g / n / ac / ax protocols and balancing speed and stability.

[0006] Preferably, the signal enhancement hardware module includes a radio frequency front-end unit, an antenna diversity unit, and a power purification unit; The radio frequency front-end unit employs a high-gain low-noise amplifier (LNA) and a power amplifier (PA). The power amplifier (PA) is used to amplify the weak WiFi radio frequency signal to ensure that the WiFi signal can cover and penetrate a predetermined distance and penetrate range obstacles within that distance. The low-noise amplifier (LNA) is mainly used to initially amplify the weak signal received by WiFi without introducing external noise. The amplified signal can be more easily received by the device, thereby improving the device's sensitivity to receiving WiFi signals.

[0007] Preferably, the antenna diversity unit employs a dual-antenna optimization device, where the fading signals received by the two antennas are independent of each other. When one antenna is in a signal dead zone or the wall is too thick, resulting in poor signal reception quality, the antenna diversity unit will autonomously switch antennas and receive signal transmission through the other antenna. This allows the antenna with the strongest signal to switch over, enabling communication to take place with the antenna currently providing the strongest signal. This effectively eliminates coverage dead zones. The dual-antenna switching mechanism and impedance matching circuit support antenna diversity technology and reduce signal reflection loss.

[0008] Preferably, the power purification unit is used to isolate the sensitive circuits and sensitive signals of the WiFi module inside the traditional power grid. The sensitive signals include spike pulses generated by the start and stop of refrigerators and air conditioners, as well as high-frequency noise generated by other electronic devices. At the same time, it integrates low-ripple power management and EMC filtering circuits, which can effectively reduce the interference of high-frequency power noise on radio frequency signals and reduce the situation where radio frequency signals are affected by external signals, resulting in radio frequency signal attenuation.

[0009] Preferably, the environmental perception module includes a signal strength monitoring unit and an interference source identification and processing unit; The signal strength monitoring unit (RSSI) monitors the current WiFi signal strength, effectively monitors the coverage edge and dead zone of the WiFi signal, and prioritizes the current two antennas.

[0010] Preferably, the interference source identification and processing unit detects whether there is interference from co-frequency signals in the surrounding area. Co-frequency signal sources include interference from WiFi signals from neighboring homes on the same floor and floors above and below, and effectively isolates the WiFi signals inside the interference source.

[0011] Preferably, the anti-interference processing module includes an interference suppression unit, a signal error correction unit, and a protocol optimization unit; The interference suppression unit is used to analyze the surrounding WiFi data collected by the interference source identification and processing unit using an interference suppression algorithm, accurately calculate the strength of the surrounding WiFi signals, and arrange them according to the current WiFi signal strength. The arrangement sequence number is n1, n2, and -n10 in descending order of strength. At this time, in conjunction with the antenna diversity unit, the receiving sensitivity of the highest external signal strength n1 is reduced to the minimum. The subsequent n2, -n10, and so on are arranged and processed in descending order of strength, thereby filtering out strong interference at the physical level, while protecting and enhancing weak target signals.

[0012] Preferably, when in use, the signal error correction unit reduces the data packet retransmission rate during WiFi signal wireless transmission and increases WiFi signal stability.

[0013] Preferably, the receiving end of the signal error correction unit performs local repair on the bit error data during WiFi signal transmission, avoiding the round-trip delay and waste of signal resources caused by the automatic retransmission request mechanism. Under the same signal-to-noise ratio, it can significantly reduce invalid signal repetition and the occupation of a large amount of data transmission time, so that the old data transmission resources can be concentrated on the new data transmission channel, effectively improving the actual throughput of the data system, mitigating network jitter in weak signal and interference environments, and ensuring the continuity and stability of the communication link.

[0014] Preferably, when the protocol optimization unit is used, it reduces the latency of data transmission and frees up the CPU's computing power to process more complex intelligent decision-making algorithms, so that the overall response speed of the module reaches the millisecond level or even higher.

[0015] The beneficial effects of this invention are as follows: 1. The intelligent WIFI module signal optimization system of the present invention optimizes the frequency hopping and signal interference of various external signals through physical layer and link layer technical means; 2. The intelligent WIFI module signal optimization system described in this invention combines signal-to-noise ratio and network load balancing strategies to automatically avoid congested channels and interference sources, and switch to the optimal transmission channel; 3. The intelligent WIFI module signal optimization system described in this invention allows the fading signals received by the two antennas to be independent of each other. When one antenna is in a signal dead zone or the wall is too thick, resulting in poor signal reception quality, the antenna diversity unit will automatically switch antennas and receive signal transmission through the other antenna. This allows the antenna with the strongest signal to switch over and communicate, thereby effectively eliminating coverage dead zones. The system is equipped with a dual-antenna switching mechanism and impedance matching circuit, supports antenna diversity technology, and reduces signal reflection loss. Attached Figure Description

[0016] The invention will now be further described with reference to the accompanying drawings.

[0017] Figure 1 This is a flowchart illustrating the present invention. Detailed Implementation

[0018] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0019] like Figure 1 As shown in the embodiment of the present invention, a smart WIFI module signal optimization system includes: Signal enhancement hardware module: Used to enhance WiFi signals at the physical level, increasing the coverage area and range of WiFi signals; Environmental sensing module: used to collect real-time data on the current WiFi signal environment, continuously monitor and evaluate the wireless signal quality around the module, and collect and process the monitored and evaluated data. Intelligent decision-making algorithm module: used to perform systematic calculations and logical judgments on the environmental data collected by the environmental perception module, and to make optimal signal adjustment processing via WiFi; Anti-interference processing module: used to optimize the frequency hopping and signal interference of various external signals through physical layer and link layer techniques; The intelligent decision-making algorithm module includes a dynamic power adjustment unit, an intelligent channel selection unit, and a rate adaptive unit. The intelligent channel selection unit is used to combine signal-to-noise ratio and network load balancing strategies to automatically avoid congested channels and interference sources and switch to the optimal transmission channel. The rate adaptive unit is used to dynamically negotiate the transmission rate based on signal quality, supporting smooth switching between 802.11b / g / n / ac / ax protocols and balancing speed and stability.

[0020] like Figure 1 As shown, the signal enhancement hardware module includes a radio frequency front-end unit, an antenna diversity unit, and a power purification unit; The radio frequency front-end unit employs a high-gain low-noise amplifier (LNA) and a power amplifier (PA). The power amplifier (PA) amplifies the weak WiFi radio frequency signal to ensure that the WiFi signal can cover and penetrate a predetermined distance, and penetrate obstacles within that distance. The low-noise amplifier (LNA) primarily amplifies the weak WiFi signal received without introducing external noise. The amplified signal is more easily received by the device, thereby improving the device's sensitivity in receiving WiFi signals. The antenna diversity unit employs a dual-antenna optimization device. The fading signals received by the two antennas are independent of each other. When one antenna is in a signal dead zone or the wall is too thick, resulting in poor signal reception quality, [the signal distribution becomes more sensitive]. The antenna diversity unit autonomously switches antennas, receiving signal transmission through another antenna. This allows the strongest signal from one of the two antennas to be switched, enabling communication with the currently stronger antenna and effectively eliminating coverage dead zones. It features a dual-antenna switching mechanism and impedance matching circuitry, supporting antenna diversity technology and reducing signal reflection loss. The power purification unit isolates sensitive circuits and signals from the WiFi module within the traditional power grid. Sensitive signals include spikes generated by refrigerators and air conditioners during startup and shutdown, as well as high-frequency noise from other electronic devices. It also integrates low-ripple power management and EMC filtering circuits, effectively reducing interference from high-frequency power noise on radio frequency signals and minimizing signal attenuation caused by external interference.

[0021] like Figure 1 As shown, the environmental perception module includes a signal strength monitoring unit and an interference source identification and processing unit. The signal strength monitoring unit (RSSI) monitors the current WiFi signal strength and effectively monitors the coverage edge and dead zones of the WiFi signal, and prioritizes the two current antennas. The interference source identification and processing unit detects whether there is interference from co-frequency signals in the surrounding area. Co-frequency signal sources include interference from WiFi signals from neighbors on the same floor and floors above and below, and effectively isolates the WiFi signals inside the interference source.

[0022] like Figure 1As shown, the anti-interference processing module includes an interference suppression unit, a signal error correction unit, and a protocol optimization unit. The interference suppression unit uses an interference suppression algorithm to analyze the surrounding WiFi data collected by the interference source identification processing unit, accurately calculates the strength of the surrounding WiFi signals, and arranges them according to their current strength, with the order from highest to lowest as n1, n2, and -n10. At this point, in conjunction with the antenna diversity unit, the receiving sensitivity of the highest external signal strength n1 is reduced to the minimum. Subsequent signals n2, -n10, and so on are processed in descending order of strength, thereby filtering out strong interference at the physical level while protecting and enhancing weak target signals. The signal error correction unit, when in use, reduces the wireless transmission speed of the WiFi signal. During the process, the data packet retransmission rate is reduced, increasing the stability of the WiFi signal. The receiving end of the signal error correction unit performs local repair on the erroneous data during WiFi signal transmission, avoiding the round-trip delay and waste of signal resources caused by the automatic retransmission request mechanism. Under the same signal-to-noise ratio, it can significantly reduce invalid signal repetition and the large amount of data transmission time occupied, allowing the old data transmission resources to be concentrated on the new data transmission channel, effectively improving the actual throughput of the data system, mitigating network jitter in weak signal and interference environments, and ensuring the continuity and stability of the communication link. When the protocol optimization unit is used, it reduces the latency of data transmission and releases the CPU's computing power to process more complex intelligent decision-making algorithms, allowing the overall response speed of the module to reach millisecond level or even higher.

[0023] Working principle: It optimizes the frequency hopping and signal interference of various external signals through physical layer and link layer technologies; combined with signal-to-noise ratio and network load balancing strategies, it automatically avoids congested channels and interference sources and switches to the optimal transmission channel; The fading signals received by the two antennas are independent of each other. When one antenna is in a signal dead zone or the wall is too thick, resulting in poor signal reception quality, the antenna diversity unit will automatically switch antennas and receive signal transmission through the other antenna. This allows the antenna with the strongest signal to switch over and communicate, effectively eliminating coverage dead zones. The dual-antenna switching mechanism and impedance matching circuit are configured to support antenna diversity technology and reduce signal reflection loss.

[0024] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A smart WIFI module signal optimization system, characterized in that: include: Signal enhancement hardware module: Used to enhance WiFi signals at the physical level, increasing the coverage area and range of WiFi signals; Environmental sensing module: used to collect real-time data on the current WiFi signal environment, continuously monitor and evaluate the wireless signal quality around the module, and collect and process the monitored and evaluated data. Intelligent decision-making algorithm module: used to perform systematic calculations and logical judgments on the environmental data collected by the environmental perception module, and to make optimal signal adjustment processing via WiFi; Anti-interference processing module: used to optimize the frequency hopping and signal interference of various external signals through physical layer and link layer techniques; The intelligent decision-making algorithm module includes a dynamic power adjustment unit, an intelligent channel selection unit, and a rate adaptive unit. The intelligent channel selection unit is used to combine signal-to-noise ratio and network load balancing strategies to automatically avoid congested channels and interference sources and switch to the optimal transmission channel. The rate adaptive unit is used to dynamically negotiate the transmission rate based on signal quality, supporting smooth switching between 802.11b / g / n / ac / ax protocols and balancing speed and stability.

2. The intelligent WIFI module signal optimization system of claim 1, wherein: The signal enhancement hardware module includes a radio frequency front-end unit, an antenna diversity unit, and a power purification unit. The radio frequency front-end unit employs a high-gain low-noise amplifier (LNA) and a power amplifier (PA). The power amplifier (PA) is used to amplify the weak WiFi radio frequency signal to ensure that the WiFi signal can cover and penetrate a predetermined distance and penetrate range obstacles within that distance. The low-noise amplifier (LNA) is mainly used to initially amplify the weak signal received by WiFi without introducing external noise. The amplified signal can be more easily received by the device, thereby improving the device's sensitivity to receiving WiFi signals.

3. The intelligent WIFI module signal optimization system of claim 2, wherein: The antenna diversity unit employs a dual-antenna optimization device. The fading signals received by the two antennas are independent of each other. When one antenna is in a signal dead zone or the wall is too thick, resulting in poor signal reception quality, the antenna diversity unit will automatically switch antennas and receive signal transmission through the other antenna. This allows the antenna with the strongest signal to switch over and communicate, effectively eliminating coverage dead zones. The dual-antenna switching mechanism and impedance matching circuit support antenna diversity technology and reduce signal reflection loss.

4. The intelligent WIFI module signal optimization system of claim 2, wherein: The power purification unit is used to isolate the sensitive circuits and signals of the WiFi module inside the traditional power grid. The sensitive signals include spike pulses generated by the start and stop of refrigerators and air conditioners, as well as high-frequency noise generated by other electronic devices. At the same time, it integrates low-ripple power management and EMC filtering circuits, which can effectively reduce the interference of high-frequency power noise on radio frequency signals and reduce the situation where radio frequency signals are weakened due to interference from external signals.

5. The intelligent WIFI module signal optimization system of claim 1, wherein: The environmental perception module includes a signal strength monitoring unit and an interference source identification and processing unit. The signal strength monitoring unit (RSSI) monitors the current WiFi signal strength, effectively monitors the coverage edge and dead zone of the WiFi signal, and prioritizes the current two antennas.

6. The intelligent WIFI module signal optimization system of claim 5, wherein: The interference source identification and processing unit detects whether there is interference from co-frequency signals in the surrounding area. Co-frequency signal sources include interference from WiFi signals from neighboring homes on the same floor and floors above and below, and effectively isolates the WiFi signals inside the interference source.

7. The intelligent WIFI module signal optimization system of claim 1, wherein: The anti-interference processing module includes an interference suppression unit, a signal error correction unit, and a protocol optimization unit; The interference suppression unit is used to analyze the surrounding WiFi data collected by the interference source identification and processing unit using an interference suppression algorithm, accurately calculate the strength of the surrounding WiFi signals, and arrange them according to the current WiFi signal strength. The arrangement sequence number is n1, n2, and -n10 in descending order of strength. At this time, in conjunction with the antenna diversity unit, the receiving sensitivity of the highest external signal strength n1 is reduced to the minimum. The subsequent n2, -n10, and so on are arranged and processed in descending order of strength, thereby filtering out strong interference at the physical level, while protecting and enhancing weak target signals.

8. The intelligent WIFI module signal optimization system according to claim 7, characterized in that: When in use, the signal error correction unit reduces the data packet retransmission rate during WiFi signal wireless transmission and increases WiFi signal stability.

9. The intelligent WIFI module signal optimization system according to claim 7, characterized in that: The receiving end of the signal error correction unit will locally repair the bit error data during WiFi signal transmission, avoiding the round-trip delay and waste of signal resources caused by the automatic retransmission request mechanism. Under the same signal-to-noise ratio, it can significantly reduce invalid signal repetition and the occupation of a large amount of data transmission time, so that the old data transmission resources can be concentrated on the new data transmission channel, effectively improving the actual throughput of the data system, mitigating network jitter in weak signal and interference environments, and ensuring the continuity and stability of the communication link.

10. The intelligent WIFI module signal optimization system according to claim 7, characterized in that: When the protocol optimization unit is used, it reduces data transmission latency and frees up CPU computing power to process more complex intelligent decision-making algorithms, enabling the overall response speed of the module to reach millisecond level or even higher.

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