An intelligent communication interaction system based on artificial intelligence

Abstract

The present invention relates to the field of wireless communication technology, and in particular to an intelligent communication interaction system based on artificial intelligence. The system comprises a data acquisition module for acquiring target device data and crowd density, a channel state analysis module for analyzing the channel state; a crowd analysis module for dividing crowd density levels according to the collected crowd density; a temperature monitoring module for analyzing the operating state of the target device according to the collected target device temperature; a power adjustment module for adjusting the transmission power of the target device according to the analysis result of the channel state, the division result of the crowd density level and the analysis result of the operating state of the target device; a quality monitoring module for monitoring the channel quality according to the analysis result of the channel state in a monitoring period, and updating the adjustment process of the transmission power of the target device in the next monitoring period according to the monitoring result. The present invention improves the quality of wireless communication signals.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technology, and in particular to an intelligent communication interaction system based on artificial intelligence. Background Art

[0002] In an era of rapid development of communication technology, the demand for intelligent communication interaction systems is becoming more and more urgent. In order to cope with the growing communication needs and fluctuations in traffic, traditional communication systems are facing performance bottlenecks such as channel congestion, signal interference, and equipment energy consumption. Therefore, how to improve the efficiency of communication systems to adapt to dynamically changing environments and user needs has become an important research direction in the field of communications.

[0003] Chinese Patent Publication No.: CN117320139A discloses a method for adjusting transmission power and a wireless communication system. The method includes: the target device obtains a protocol for communicating with a signal relay device; the target device obtains an interaction duration for communicating with the signal relay device; the target device adjusts the transmission power for sending data to the signal relay device according to the protocol and the interaction duration. In this scheme, the transmission power for sending data to the signal relay device is adjusted according to the protocol and the interaction duration, and the transmission power can be adjusted dynamically, which can increase the ability of the target device to adapt in different usage environments, and the target device has better usability when using the transmission power to transmit signals. In addition, since the transmission power can be adjusted dynamically in this scheme, various problems such as poor device interaction signal and device disconnection can be improved; it can be seen that in the scenario where the signal changes frequently, the slow power adjustment trend of this scheme cannot be quickly responded to. In addition, during a long adjustment period, the target device may consume a lot of energy and cannot effectively reduce energy consumption, which destroys its energy-saving goals. There are problems such as poor quality of wireless communication signals and high energy consumption of communication equipment. Summary of the invention

[0004] The object of the present invention is to provide an intelligent communication interaction system based on artificial intelligence to solve at least one of the problems existing in the prior art.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] Data collection module, used to collect target equipment data and crowd density;

[0007] A channel state analysis module is used to construct the channel capacity according to the signal power received by the target device, the channel bandwidth and the noise power in the channel, and to evaluate the abnormality of the channel capacity according to the construction result, and to evaluate the abnormality of the communication link according to the collected interaction time of the target device, and to analyze the channel state abnormality coefficient according to the evaluation results of the channel capacity abnormality and the evaluation results of the communication link abnormality, and to analyze the channel state according to the analysis results;

[0008] The crowd flow analysis module is used to classify the crowd flow density level according to the collected crowd flow density;

[0009] A temperature monitoring module is used to analyze the operating status of the target device according to the collected temperature of the target device;

[0010] The power adjustment module is used to adjust the transmission power of the target device according to the analysis results of the channel status, the classification results of the crowd density level and the analysis results of the target device operation status, and optimize the adjustment process of the target device transmission power according to the collected channel occupancy rate and the target device movement acceleration.

[0011] Further, the channel state analysis module includes a capacity analysis unit, a link analysis unit and a state analysis unit, which are used to construct a channel capacity C according to a signal power S received by a target device, a channel bandwidth W and a noise power N in a channel, and compare the channel capacity C with a preset capacity C0 to evaluate the abnormality of the channel capacity, and the abnormality of the channel capacity includes normal capacity and abnormal capacity;

[0012] The link analysis unit is used to compare the acquired interaction duration t0 of the target device with the preset interaction duration t1 to evaluate the abnormality of the communication link of the target device, and the abnormality of the communication link includes a normal communication link and an abnormal communication link.

[0013] Furthermore, the state analysis unit is used to construct a channel state abnormality coefficient based on the analysis results of the channel capacity abnormality and the analysis results of the target device communication link abnormality, and compare the channel state abnormality coefficient with a preset state abnormality threshold YC to analyze the channel state, which includes normal and abnormal.

[0014] Furthermore, the crowd flow analysis module compares the collected crowd flow density y0 with the preset crowd flow density, and divides the crowd flow density levels into low density and high density according to the comparison result.

[0015] Furthermore, the temperature monitoring module compares the collected target device temperature u0 with a preset temperature threshold u1 to analyze the operating state of the target device, where the operating state of the target device includes a normal operating state and an abnormal operating state of the target device.

[0016] Further, the power adjustment module includes a power adjustment unit, an interference analysis unit and a mobility analysis unit, and the power adjustment unit adjusts the transmission power of the target device according to the analysis result of the channel state, the division result of the crowd density level and the analysis result of the target device operation state, wherein:

[0017] If the operating state of the target device is normal, when the channel state is normal and the crowd density level is low density, the power adjustment unit adjusts the transmission power of the target device to P1; when the channel state is normal and the crowd density level is high density, the power adjustment unit adjusts the transmission power of the target device to P2; when the channel state is abnormal and the crowd density level is low density, the power adjustment unit adjusts the transmission power of the target device to P3; when the channel state is abnormal and the crowd density level is high density, the power adjustment unit adjusts the transmission power of the target device to P4. When the adjusted transmission power of the target device Pp>PY, the value of Pp is PY, PY is the first transmission power threshold, p=1,2,3,4, and P0 is the current transmission power of the target device;

[0018] If the operating device of the target device is abnormal, the power adjustment unit adjusts the transmission power of the target device to P5.

[0019] Further, the interference analysis unit is used to optimize the adjustment process of the target transmission power according to the collected channel occupancy L, wherein:

[0020] If the operating state of the target device is abnormal, the interference analysis unit does not perform optimization; if the operating state of the target device is normal, the interference analysis unit sets the optimized transmission power of the target device to Pp'.

[0021] Furthermore, the movement analysis unit is used to compare the collected target device movement acceleration a0 with the preset acceleration a1 to analyze the abnormality of the target device movement. The abnormality of the target device movement includes normal movement and abnormal movement. If the target device movement is abnormal, the power attenuation factor is optimized to η'.

[0022] Furthermore, the system also includes a quality monitoring module, which is used to monitor the channel quality according to the analysis results of the channel status within the monitoring period, and update the adjustment process of the target device transmission power in the next monitoring period according to the monitoring results; the quality monitoring module includes a quality monitoring unit and a pedestrian flow monitoring unit, and the quality monitoring unit is used to monitor the channel quality according to the analysis results of the channel status within the monitoring period. The monitoring results of the channel quality include normal channel quality and abnormal channel quality. If the channel quality is abnormal, the second preset adjustment ratio is updated to β'.

[0023] Furthermore, the crowd flow monitoring unit compares the average crowd density rp collected during the monitoring period with a preset crowd density threshold to analyze the abnormality of the crowd density during the monitoring period. The abnormality of the crowd density includes normal crowd density and abnormal crowd density. If the crowd density in the current monitoring period is abnormal, the preset abnormal ratio is optimized to F'.

[0024] The beneficial effects of the present invention are as follows: through multi-module data collection and analysis, the efficiency and quality of communication are greatly improved. By real-time monitoring of the data, crowd density, temperature and other information of the target device, it is ensured that the best communication state is always maintained under different environmental conditions. The design of the channel state analysis module enables the system to accurately evaluate the channel capacity and link abnormalities. At the same time, the crowd analysis module can intelligently classify according to the changes in crowd density, so as to achieve more efficient resource allocation and power adjustment. In the power adjustment module, under different working states and environmental conditions, the transmission power of the equipment can be intelligently adjusted to optimize signal transmission and avoid resource waste and interference, thereby ensuring the stability and reliability of communication. The quality monitoring module can timely update the transmission power adjustment strategy of the equipment through continuous monitoring of the channel quality, improve the system's autonomous adaptability, and ultimately improve the signal quality of wireless communication. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 Schematic diagram of the structure of the intelligent communication interaction system based on artificial intelligence in this embodiment.

[0027] Figure 2 Schematic diagram of the structure of the channel status analysis module of this embodiment.

[0028] Figure 3 FIG. 4 is a schematic diagram of the structure of the power adjustment module of this embodiment.

[0029] Figure 4 Schematic diagram of the structure of the quality monitoring module of this embodiment. DETAILED DESCRIPTION

[0030] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and should not be used to limit the scope of protection of the present invention.

[0031] It should be noted that, although the terms first, second, third, etc. may be used to describe in the embodiments of the present application, these descriptions should not be limited to these terms. These terms are only used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, the first may also be referred to as the second, and similarly, the second may also be referred to as the first.

[0032] See also Figure 1 As shown, it is a structural diagram of an intelligent communication interaction system based on artificial intelligence in this embodiment, and the system includes:

[0033] The data acquisition module is used to collect target device data and crowd density. The target device data includes the interaction time of the target device, the signal power received by the target device, the signal bandwidth, the noise power in the channel, the channel interference intensity, the target device temperature and the target device movement acceleration. The crowd density is the crowd density of the target device use area. If the target device use scenario is a shopping mall, then the target device use area is the shopping mall; the interaction time of the target device is the round-trip time from the target device sending a data packet to receiving a reply data packet from the transfer device. The channel is a wireless channel. For example, when the communication protocol is the 802.11n protocol, the typical channel bandwidth is 20MHz or 40MHz, representing a specific segment of the signal spectrum. , the target device is a portable wireless scanning device. In this embodiment, the method for collecting the target device data and the crowd density is not specifically limited. Those skilled in the art can freely set it as long as the collection requirements of the target device data and the crowd density are met. Among them, the crowd density can be collected by a modern video surveillance system equipped with an AI-based image recognition technology, the target device movement acceleration can be collected by a built-in accelerometer of the target device, the channel interference intensity can be collected by a wireless spectrum analyzer, the signal power received by the target device can be collected by RSSI measurement, the channel bandwidth can be directly accessed and collected from the protocol information used by the device, the interaction time of the target device can be collected by a Ping tool or TCP ACK, and the temperature of the target device can be collected by a temperature sensor;

[0034] The channel status analysis module is used to evaluate the abnormality of the channel capacity according to the signal power received by the target device, the channel bandwidth and the noise power in the channel, and is also used to evaluate the abnormality of the communication link according to the collected interaction time of the target device, and is also used to analyze the channel status according to the evaluation results of the channel capacity abnormality and the evaluation results of the communication link abnormality. The channel status analysis module is connected to the data acquisition module.

[0035] See also Figure 2 As shown, the channel state analysis module includes a capacity analysis unit, which is used to construct the channel capacity C according to the signal power S received by the target device, the channel bandwidth W and the noise power N in the channel, so as to accurately evaluate the channel capacity, and set: C=W×log2(1+S / N);

[0036] The capacity analysis unit compares the channel capacity C with the preset capacity C0 to evaluate the abnormality of the channel capacity, wherein:

[0037] If C≤C0, the capacity analysis unit determines that the channel capacity is abnormal; if C>C0, the capacity analysis unit determines that the channel capacity is normal; the channel status analysis unit determines whether a bottleneck occurs in the current channel capacity to provide a basis for subsequent transmission power adjustments. When insufficient channel capacity occurs, the system can immediately know and provide feedback to avoid communication delays and increased bit error rates.

[0038] Specifically, in this embodiment, the setting of the preset capacity is not specifically limited, and those skilled in the art can set it freely as long as the setting requirements of the preset capacity are met. Among them, the value can be 80Mbps under a 20 MHz channel bandwidth and the value can be 200 Mbps under a 40 MHz channel bandwidth.

[0039] Please continue reading Figure 2 As shown, the channel state analysis module also includes a link analysis unit, which is used to compare the acquired interaction time t0 of the target device with the preset interaction time t1 to evaluate the abnormality of the communication link of the target device to provide guarantee for the link stability, wherein:

[0040] If t0≤t1, the link analysis unit determines that the communication link of the target device is normal; if t0>t1, the link analysis unit determines that the communication link of the target device is abnormal; by comparing the interaction time of the target device with the set threshold t1 in real time, the link analysis unit can quickly detect abnormalities in the communication link and provide guarantee for link stability.

[0041] Specifically, in this embodiment, the value of the preset interaction time is not specifically limited, and those skilled in the art can freely set it as long as the value requirement of the preset interaction time is met. Among them, the best value of t1 is 100ms.

[0042] Please continue reading Figure 2 As shown, the channel state analysis module also includes a state analysis unit, which is connected to the capacity analysis unit and the link analysis unit, and is used to construct a channel state abnormality coefficient according to the analysis results of the channel capacity abnormality and the analysis results of the target device communication link abnormality. If the channel capacity is normal and the communication link is normal, the state analysis unit sets the channel state abnormality coefficient to Z1, setting Z1=0; if the channel capacity is normal and the communication link is abnormal, the state analysis unit sets the channel state abnormality coefficient to Z2, setting Z2=γ2×exp{lg[(t0-t1) / (t0+t1)]}; if the channel capacity is abnormal and the communication link is normal, the state analysis unit sets the channel state abnormality coefficient to Z3, setting Z3=γ1×[(C0-C) / C0] 3 / {[(C0-C) / C0] 3+[1-(C0-C) / C0] 3}; If the channel capacity is abnormal and the communication link is abnormal, the state analysis unit sets the channel state abnormality coefficient to Z4, setting:

[0043] Z4=γ1×[(C0-C) / C0] 3 / {[(C0-C) / C0] 3 +[1-(C0-C) / C0] 3}+γ2×exp{lg[(t0-t1) / (t0+t1)]};

[0044] The state analysis unit compares the channel state abnormality coefficient with the preset state abnormality threshold YC to analyze the channel state. If the channel state abnormality coefficient is less than YC, the state analysis unit determines that the channel state is normal; if the channel state abnormality coefficient is greater than YC, the state analysis unit determines that the channel state is abnormal, γ1 is the capacity weight, γ2 is the link weight, γ1+γ2=1, γ1>γ2; the state analysis unit integrates the two abnormality analysis results of the channel capacity and the communication link, obtains the channel state abnormality coefficient by calculation, and automatically evaluates the current channel state. This multi-dimensional combined analysis method effectively improves the comprehensiveness of the analysis and avoids the misjudgment caused by a single evaluation indicator to the greatest extent.

[0045] Specifically, in this embodiment, there is no specific limitation on the values ​​of each weight and the preset state abnormal threshold. Technical personnel in this field can set them freely as long as the value requirements of each weight and the preset state abnormal threshold are met. Among them, the value of γ1 is 0.55, the optimal value of γ2 is 0.45, and the optimal value of YC is 0.12.

[0046] Please continue reading Figure 1 As shown, the system further includes a crowd flow analysis module, which is connected to the data acquisition module and is used to compare the collected crowd flow density y0 with the preset crowd flow density y1, and classify the crowd flow density levels according to the comparison results to maintain the stability of communication quality, wherein:

[0047] If y0≤y1, the crowd flow analysis module determines that the crowd flow density level is low density; if y0≥y1, the crowd flow analysis module determines that the crowd flow density level is high density; the crowd flow analysis module divides the crowd flow density levels and dynamically adjusts the transmission power according to high and low densities, thereby effectively preventing the communication quality from being reduced due to bandwidth allocation conflicts when the channel is crowded, thereby optimizing resource utilization.

[0048] Specifically, in this embodiment, there is no specific limitation on the value of the preset crowd density, and those skilled in the art can freely set it as long as it meets the value requirement of the preset crowd density. Among them, the best value of y1 is 2 people / square meter.

[0049] Please continue reading Figure 1 As shown, the system also includes a temperature monitoring module, which is connected to the data acquisition module and is used to compare the acquired target device temperature u0 with a preset temperature threshold u1 to analyze the operating state of the target device to ensure the stability of the device in a busy working state, wherein:

[0050] If u0≤u1, the temperature monitoring module determines that the operating status of the target device is normal; if u0>u1, the temperature monitoring module determines that the operating status of the target device is abnormal; the temperature monitoring module continuously monitors the temperature of the device. When the temperature exceeds the preset threshold u1, it can promptly warn the device of possible overheating problems, thereby preventing the device hardware from being damaged due to overheating. This can effectively avoid the risk of reduced communication rate or even device downtime caused by high temperature, and ensure the stability of the device in busy working conditions.

[0051] Specifically, in this embodiment, the value of the preset temperature threshold is not specifically limited, and those skilled in the art can freely set it as long as it meets the value requirement of the preset temperature threshold. Among them, the best value of u1 is 40°C.

[0052] Please continue reading Figure 1 As shown, the system also includes a power adjustment module, which is connected to the channel state analysis module, the crowd flow analysis module and the temperature monitoring module, and is used to adjust the transmission power of the target device according to the analysis results of the channel state, the division results of the crowd flow density level and the analysis results of the target device operation state;

[0053] See also Figure 3 As shown, the power adjustment module includes a power adjustment unit, which adjusts the transmission power of the target device according to the analysis results of the channel state, the division results of the crowd density level and the analysis results of the target device operation state, so as to flexibly adjust the power according to the actual scenario, wherein:

[0054] If the operating state of the target device is normal, when the channel state is normal and the crowd density level is low density, the power adjustment unit adjusts the transmission power of the target device to P1, and sets P1=P0; when the channel state is normal and the crowd density level is high density, the power adjustment unit adjusts the transmission power of the target device to P2, and sets P2=P0×(1+α), where α is the first preset adjustment ratio; when the channel state is abnormal and the crowd density level is low density, the power adjustment unit adjusts the transmission power of the target device to P3, and sets P3=P0×{1+β×l n[9×(channel state abnormality coefficient-YC)+1] / ln10}, β is the second preset adjustment ratio; when the channel state is abnormal and the crowd density level is high density, the power adjustment unit adjusts the transmission power of the target device to P4, and sets P4=P0×{1+α+β×ln[9×(channel state abnormality coefficient-YC)+1] / ln10}. When the adjusted transmission power of the target device Pp>PY, the value of Pp is PY, PY is the first transmission power threshold, p=1,2,3,4, and P0 is the current transmission power of the target device;

[0055] If the target device is operating abnormally, the power adjustment unit adjusts the transmission power of the target device to P5, and sets P5=p, where p is the second transmission power threshold.

[0056] Specifically, in this embodiment, the values ​​of the first preset adjustment ratio, the second preset adjustment ratio, the first transmission power threshold and the second transmission power threshold are not specifically limited. Those skilled in the art can freely set them, and only need to meet the value requirements of the first preset adjustment ratio, the second preset adjustment ratio, the first transmission power threshold and the second transmission power threshold, wherein the optimal value of PY is 30dBm, the optimal value of p is 10dBm, the optimal value of α is 0.3, and the optimal value of β is 0.28; the power adjustment unit dynamically adjusts the transmission power of the device according to the channel state abnormality coefficient, the crowd density result, and the device temperature, effectively reducing energy consumption while ensuring the communication quality, avoiding unnecessary power waste and excessive interference. Especially under low-density crowds and normal channel conditions, the transmission power is reduced to the lowest tolerable level, which can extend the device life.

[0057] Please continue reading Figure 3 As shown, the power adjustment module also includes an interference analysis unit, which is connected to the power adjustment unit and is used to optimize the adjustment process of the target transmit power according to the collected channel occupancy L, so as to quickly identify high-interference channels and optimize their transmit power, wherein:

[0058] If the operating state of the target device is abnormal, the interference analysis unit will not perform optimization; if the operating state of the target device is normal, the interference analysis unit will set the optimized target device's transmit power to Pp', and set Pp'=Pp-η×L, where η is the power attenuation factor; the interference analysis unit analyzes the occupancy rate L of the channel where the target device is located in real time to quickly identify high-interference channels and optimize their transmit power, thereby reducing power consumption and reducing mutual channel interference.

[0059] Specifically, the value of the power attenuation factor is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the value requirement of the power attenuation factor is met, where the optimal value of η is 0.25.

[0060] Specifically, the channel occupancy rate collection method is not specifically limited in this embodiment, and those skilled in the art can freely set it as long as the channel occupancy rate collection requirements are met. The channel occupancy rate can be collected by a wireless signal analyzer.

[0061] Please continue reading Figure 3 As shown, the power adjustment module also includes a mobile analysis unit, which is connected to the interference analysis unit and is used to compare the collected target device movement acceleration a0 with the preset acceleration a1 to analyze the abnormality of the target device movement, and perform secondary optimization on the target transmission power adjustment process according to the analysis result to avoid the signal attenuation problem caused by the device moving too fast, wherein:

[0062] If a0≤a1, the mobile analysis unit determines that the movement of the target device is normal and does not perform optimization; if a0>a1, the mobile analysis unit determines that the movement of the target device is abnormal and optimizes the power attenuation factor to η', setting:

[0063] η'=η×exp[-(a0-a1) / (a0+a1)]; The mobile analysis unit identifies whether the device is in a state of abnormal acceleration that causes signal instability so as to correct it and ensure that the system continues to operate robustly in unexpected situations.

[0064] Specifically, in this embodiment, the value of the preset acceleration is not specifically limited, and those skilled in the art can freely set it as long as it meets the value requirement of the preset acceleration, where the optimal value of a1 is 1m / s².

[0065] Please continue to participate Figure 1 As shown, the system also includes a quality monitoring module, which is connected to the power adjustment module and is used to monitor the channel quality according to the analysis results of the channel status in the monitoring period, and update the adjustment process of the target device transmission power in the next monitoring period according to the monitoring results;

[0066] See also Figure 4 As shown, the quality monitoring module includes a quality monitoring unit, which is used to monitor the channel quality according to the analysis result of the channel state in the monitoring period, and update the adjustment process of the target device transmission power in the next monitoring period according to the monitoring result, wherein:

[0067] If i1 / i0≤F, the quality monitoring unit determines that the channel quality of the current monitoring period is normal and does not update; if i1 / i0>F, the quality monitoring unit determines that the channel quality of the current monitoring period is abnormal, and updates the second preset adjustment ratio to β', setting β'=β×{1+[(i1 / i0-F)+(i1 / i0-F) 2 +(i1 / i0-F) 0.5 ] / [2+(i1 / i0-F) 0.5 ]}, when β'≥β0, the value of β' is β0, β0 is the second adjustment ratio threshold, i1 is the number of abnormal interaction durations of the target device during the monitoring period, i0 is the number of target device interactions during the monitoring period, and F is the preset abnormal ratio; the quality monitoring unit provides timely feedback for the optimization of the transmission power in subsequent periods by monitoring the frequency and distribution of abnormal channel states, and continuously promotes system self-optimization based on long-term monitoring historical data.

[0068] Specifically, in this embodiment, there is no specific limitation on the value of the second adjustment ratio threshold and the preset abnormal ratio, and those skilled in the art can set them freely, as long as the value requirements of the second adjustment ratio threshold and the preset abnormal ratio are met. Among them, the optimal value of β0 is 0.38, and the optimal value of F is 0.05.

[0069] Specifically, the present embodiment does not impose any specific limitation on the setting of the monitoring period, and those skilled in the art may freely set it as long as the setting requirements of the monitoring period are met, wherein the monitoring period may be set to 4h, 8h, etc.

[0070] Please continue reading Figure 4 As shown, the quality monitoring module also includes a human flow monitoring unit, which is connected to the quality monitoring unit and is used to adjust the channel quality monitoring process according to the average human flow density rp collected during the monitoring period, wherein:

[0071] If rp≤rp0, the crowd monitoring unit determines that the crowd density in the current monitoring period is normal and does not make any adjustments; if rp>rp0, the crowd monitoring unit determines that the crowd density in the current monitoring period is abnormal, and optimizes the preset abnormal ratio to F', setting F'=F×(1-G), where G is the optimization ratio coefficient and rp0 is the preset crowd density threshold; the crowd monitoring unit combines the changing trend of the crowd density to accurately adjust the power control strategy for the next period, thereby avoiding the long-term excessive occupation of channel resources and improving the system's ability to maintain long-term communication stability.

[0072] Specifically, in this embodiment, there is no specific limitation on the values ​​of the preset crowd density threshold and the optimized proportional coefficient, and those skilled in the art can freely set them as long as the value requirements of the preset crowd density threshold are met. Among them, the best value of G is 0.1.

[0073] Specifically, the artificial intelligence-based intelligent communication interaction system described in this embodiment is applied to the adjustment of the transmission power of a portable wireless scanning device (used by shopping mall employees to manage goods) in a wireless communication environment of a large shopping mall.

[0074] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. An intelligent communication interaction system based on artificial intelligence, characterized in that: include, Data collection module, used to collect target equipment data and crowd density; A channel state analysis module is used to construct the channel capacity according to the signal power received by the target device, the channel bandwidth and the noise power in the channel, and to evaluate the abnormality of the channel capacity according to the construction result, and to evaluate the abnormality of the communication link according to the collected interaction time of the target device, and to analyze the channel state abnormality coefficient according to the evaluation results of the channel capacity abnormality and the evaluation results of the communication link abnormality, and to analyze the channel state according to the analysis results; The crowd flow analysis module is used to classify the crowd flow density level according to the collected crowd flow density; A temperature monitoring module is used to analyze the operating status of the target device according to the collected temperature of the target device; The power adjustment module is used to adjust the transmission power of the target device according to the analysis results of the channel status, the classification results of the crowd density level and the analysis results of the target device operation status, and optimize the adjustment process of the target device transmission power according to the collected channel occupancy rate and the target device movement acceleration.

2. The intelligent communication interaction system based on artificial intelligence according to claim 1 is characterized in that: The channel state analysis module includes a capacity analysis unit, a link analysis unit and a state analysis unit, which is used to construct a channel capacity C according to the signal power S received by the target device, the channel bandwidth W and the noise power N in the channel, and compare the channel capacity C with the preset capacity C0 to evaluate the abnormality of the channel capacity, and the abnormality of the channel capacity includes normal capacity and abnormal capacity; The link analysis unit is used to compare the acquired interaction duration t0 of the target device with the preset interaction duration t1 to evaluate the abnormality of the communication link of the target device, and the abnormality of the communication link includes a normal communication link and an abnormal communication link.

3. The intelligent communication interaction system based on artificial intelligence according to claim 2 is characterized in that: The state analysis unit is used to construct a channel state abnormality coefficient according to the analysis results of the channel capacity abnormality and the analysis results of the target device communication link abnormality, and compare the channel state abnormality coefficient with a preset state abnormality threshold YC to analyze the channel state, which includes normal and abnormal.

4. The intelligent communication interaction system based on artificial intelligence according to claim 3 is characterized in that: The crowd flow analysis module compares the collected crowd flow density y0 with the preset crowd flow density y1, and divides the crowd flow density levels into low density and high density according to the comparison result.

5. The intelligent communication interaction system based on artificial intelligence according to claim 4 is characterized in that: The temperature monitoring module compares the collected target device temperature u0 with a preset temperature threshold u1 to analyze the operating state of the target device. The operating state of the target device includes a normal operating state and an abnormal operating state of the target device.

6. The intelligent communication interaction system based on artificial intelligence according to claim 5, characterized in that: The power adjustment module includes a power adjustment unit, an interference analysis unit and a mobility analysis unit, and the power adjustment unit adjusts the transmission power of the target device according to the analysis result of the channel state, the division result of the crowd density level and the analysis result of the target device operation state, wherein: If the operating state of the target device is normal, when the channel state is normal and the crowd density level is low density, the power adjustment unit adjusts the transmission power of the target device to P1; when the channel state is normal and the crowd density level is high density, the power adjustment unit adjusts the transmission power of the target device to P2; when the channel state is abnormal and the crowd density level is low density, the power adjustment unit adjusts the transmission power of the target device to P3; when the channel state is abnormal and the crowd density level is high density, the power adjustment unit adjusts the transmission power of the target device to P4. When the adjusted transmission power of the target device Pp>PY, the value of Pp is PY, PY is the first transmission power threshold, p=1,2,3,4, and P0 is the current transmission power of the target device; If the operating device of the target device is abnormal, the power adjustment unit adjusts the transmission power of the target device to P5.

7. The intelligent communication interaction system based on artificial intelligence according to claim 6 is characterized in that: The interference analysis unit is used to optimize the adjustment process of the target transmission power according to the collected channel occupancy L, wherein: If the operating state of the target device is abnormal, the interference analysis unit does not perform optimization; if the operating state of the target device is normal, the interference analysis unit sets the optimized transmission power of the target device to Pp'.

8. The intelligent communication interaction system based on artificial intelligence according to claim 7 is characterized in that: The movement analysis unit is used to compare the collected target device movement acceleration a0 with the preset acceleration a1 to analyze the abnormality of the target device movement. The abnormality of the target device movement includes normal movement and abnormal movement. If the target device movement is abnormal, the power attenuation factor is optimized to η'.

9. The intelligent communication interaction system based on artificial intelligence according to claim 1, characterized in that: The system also includes a quality monitoring module, which is used to monitor the channel quality according to the analysis results of the channel status within the monitoring period, and update the adjustment process of the target device transmission power in the next monitoring period according to the monitoring results; the quality monitoring module includes a quality monitoring unit and a human flow monitoring unit, and the quality monitoring unit is used to monitor the channel quality according to the analysis results of the channel status within the monitoring period. The monitoring results of the channel quality include normal channel quality and abnormal channel quality. If the channel quality is abnormal, the second preset adjustment ratio is updated to β'.

10. The intelligent communication interaction system based on artificial intelligence according to claim 9, characterized in that: The crowd flow monitoring unit compares the average crowd density rp collected during the monitoring period with the preset crowd density threshold to analyze the abnormality of the crowd density during the monitoring period. The abnormality of the crowd density includes normal crowd density and abnormal crowd density. If the crowd density in the current monitoring period is abnormal, the preset abnormal ratio is optimized to F'.

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