Wireless signal conditioning method, apparatus, system, and storage medium

Abstract

The application discloses a wireless signal adjustment method, device, system and storage medium, and relates to the technical field of wireless communication.The method comprises the following steps: acquiring real-time propagation medium parameters of a to-be-monitored place; acquiring real-time wireless signal quality parameters of the to-be-monitored place; and determining a signal adjustment strategy corresponding to the to-be-monitored place based on the real-time propagation medium parameters and the real-time wireless signal quality parameters.The application can monitor the propagation medium parameters and the wireless signal quality parameters of the to-be-monitored place in real time, dynamically adjust the signal adjustment strategy in combination with the two parameters, effectively overcome the interference of a complex environment on a wireless signal, improve the coverage range and stability of the wireless signal in a complex industrial environment, reduce signal interruption and delay phenomena, and guarantee the wireless communication quality of a complex industrial scene.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and in particular to a wireless signal adjustment method, device, system and storage medium. Background Art

[0002] While wireless communication technology is widely used in complex industrial environments such as mines, chemical plants, and underground pipeline corridors, enabling data transmission between devices, personnel location tracking, and remote monitoring, it faces numerous challenges. The complex environments of these industrial scenarios can severely degrade signal quality, leading to frequent communication interruptions or delays. Existing wireless communication technologies struggle to adapt to these complex industrial environments and cannot guarantee stable communication quality. This not only hinders the advancement of intelligent production but also poses a threat to safe production.

[0003] Therefore, how to ensure the communication quality of wireless communications in complex industrial scenarios has become an urgent problem to be solved. Summary of the Invention

[0004] The main purpose of this application is to provide a wireless signal conditioning method, device, system and storage medium, aiming to solve the technical problem of how to ensure the communication quality of wireless communications in complex industrial scenarios.

[0005] To achieve the above objectives, the present application proposes a wireless signal adjustment method, which includes:

[0006] Obtain real-time propagation medium parameters of the place to be monitored;

[0007] Obtaining real-time wireless signal quality parameters of the location to be monitored;

[0008] Based on the real-time propagation medium parameters and the real-time wireless signal quality parameters, a signal adjustment strategy corresponding to the place to be monitored is determined.

[0009] In one embodiment, the step of determining the signal adjustment strategy corresponding to the monitored location based on the real-time propagation medium parameter and the real-time wireless signal quality parameter includes:

[0010] determining a current signal attenuation type based on the real-time propagation medium parameter and the real-time wireless signal quality parameter;

[0011] A signal adjustment strategy corresponding to the monitored location is determined according to the current signal attenuation type.

[0012] In one embodiment, the step of determining the current signal attenuation type based on the real-time propagation medium parameter and the real-time wireless signal quality parameter includes:

[0013] determining a current medium level based on the real-time propagation medium parameter;

[0014] Obtaining a preset wireless signal quality range corresponding to the current medium level;

[0015] A current signal attenuation type is determined based on the preset wireless signal quality range, the real-time wireless signal quality parameter, and the current medium level.

[0016] In one embodiment, the step of determining the signal adjustment strategy corresponding to the monitored location according to the current signal attenuation type includes:

[0017] If the current signal attenuation type is medium-dominated, communication frequency band switching and / or transmit power adjustment are performed.

[0018] In one embodiment, the step of determining the signal adjustment strategy corresponding to the monitored location according to the current signal attenuation type further includes:

[0019] If the current signal attenuation type is non-medium-dominated, transmit power adjustment or antenna direction adjustment is performed.

[0020] In one embodiment, performing transmit power adjustment includes:

[0021] Determining an initial power compensation value according to the current communication frequency band and the current medium level;

[0022] Optimizing the initial power compensation value based on the real-time signal error and the dynamic power adjustment algorithm to determine an optimized power compensation value;

[0023] When it is detected that the real-time wireless signal quality parameter does not match the preset wireless signal quality range, the transmit power is adjusted according to the optimized power compensation value.

[0024] In one embodiment, performing antenna direction adjustment includes:

[0025] Obtaining obstacle distribution information and a list of preset antenna positions for the location to be monitored;

[0026] determining an unobstructed transmission path based on the obstacle distribution information;

[0027] The rotation angle and / or movement direction of the smart antenna is determined according to the unobstructed transmission path and the preset antenna position list.

[0028] In addition, to achieve the above-mentioned purpose, the present application also proposes a wireless signal conditioning device, which includes:

[0029] A first signal transmission module is used to obtain real-time propagation medium parameters of the place to be monitored;

[0030] A second signal transmission module is used to obtain real-time wireless signal quality parameters of the place to be monitored;

[0031] The adjustment module is used to determine the signal adjustment strategy corresponding to the monitored place based on the real-time propagation medium parameter and the real-time wireless signal quality parameter.

[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a wireless signal conditioning system, which includes: an environment monitoring module, a signal monitoring module and a central controller;

[0033] The environment monitoring module and the signal monitoring module are both connected to the central controller;

[0034] The central controller is further configured to execute the steps of the wireless signal adjustment method as described above.

[0035] In addition, to achieve the above-mentioned purpose, the present application also provides a storage medium, on which a program for implementing the wireless signal adjustment method is stored, and the program for implementing the wireless signal adjustment method is executed by a processor to implement the steps of the wireless signal adjustment method as described above.

[0036] The present application provides a wireless signal adjustment method, device, system and storage medium. The method includes: obtaining real-time propagation medium parameters of the place to be monitored; obtaining real-time wireless signal quality parameters of the place to be monitored; and determining the signal adjustment strategy corresponding to the place to be monitored based on the real-time propagation medium parameters and the real-time wireless signal quality parameters. The present application can effectively overcome the interference of complex environments on wireless signals by monitoring the propagation medium parameters and wireless signal quality parameters of the place to be monitored in real time, and dynamically adjust the signal adjustment strategy based on the two, thereby improving the coverage and stability of wireless signals in complex industrial environments, reducing signal interruptions and delays, and ensuring the quality of wireless communications in complex industrial scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0039] Figure 1 This is a flowchart of the first embodiment of the wireless signal adjustment method of the present application;

[0040] Figure 2This is a flow chart of the second embodiment of the wireless signal adjustment method of the present application;

[0041] Figure 3 This is a schematic diagram of the medium-dominated adjustment process of the second embodiment of the wireless signal adjustment method of the present application;

[0042] Figure 4 This is a schematic diagram of the module structure of the wireless signal conditioning device according to an embodiment of the present application;

[0043] Figure 5 This is a schematic diagram of the first architecture of the wireless signal conditioning system according to an embodiment of the present application;

[0044] Figure 6 This is a schematic diagram of a second architecture of the wireless signal conditioning system according to an embodiment of the present application;

[0045] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0046] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0047] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0048] The main solution of this application is: obtaining real-time propagation medium parameters of the place to be monitored; obtaining real-time wireless signal quality parameters of the place to be monitored; and determining the signal adjustment strategy corresponding to the place to be monitored based on the real-time propagation medium parameters and the real-time wireless signal quality parameters.

[0049] Currently, complex industrial environments, with numerous airborne media that scatter and absorb wireless signals, severely degrade signal quality and lead to frequent communication interruptions or delays. Existing wireless communication technologies struggle to adapt to these complex industrial environments and cannot guarantee stable communication quality, hindering the advancement of intelligent production and even posing a threat to safe production.

[0050] To solve the above problems, the present application can effectively overcome the interference of complex environments on wireless signals by real-time monitoring of the propagation medium parameters and wireless signal quality parameters of the monitored places, and dynamically adjust the signal adjustment strategy by combining the two. It can improve the coverage and stability of wireless signals in complex industrial environments, reduce signal interruption and delay, and ensure the quality of wireless communication in complex industrial scenarios.

[0051] It should be noted that the execution subject of the embodiment can be a wireless signal adjustment system, or a computing service device with data processing, network communication, program running functions, and receiving air medium parameters and signal strength to adjust wireless signals, such as a tablet computer, a personal computer, a mobile phone, or a wireless signal adjustment device capable of realizing the above functions, and the like, and the embodiment does not make specific limitations. The following takes a wireless signal adjustment device (referred to as an adjustment device) as an execution subject as an example to describe the embodiment and the following embodiments.

[0052] Based on this, the wireless signal adjustment method provided in the embodiment of the present application is provided, which refers to Figure 1 , Figure 1 The flowchart of the first embodiment of the wireless signal adjustment method of the present application is shown.

[0053] In the embodiment, the wireless signal adjustment method comprises steps S10-S30:

[0054] Step S10, acquiring real-time propagation medium parameters of a to-be-monitored place;

[0055] It is easy to understand that the to-be-monitored place can be a mine, a chemical plant, an underground pipe gallery, and the like. The wireless signal transmission of such a complex industrial scene can be affected by multi-dimensional medium interference in the air, and therefore the corresponding propagation medium parameters need to be monitored. The propagation medium parameters affecting signal transmission include, but are not limited to, the concentration of suspended particulate matter (dust, liquid droplets) in the air, the temperature and humidity gradient, the concentration of corrosive gas, and the like, which can significantly change the electromagnetic wave propagation characteristics.

[0056] The real-time propagation medium parameters can correspond to the real-time values of the propagation medium affecting the signal propagation of the to-be-monitored place in the above example parameters. For example, when the to-be-monitored place is a mine, the corresponding real-time propagation medium parameter can be the real-time dust concentration; when the to-be-monitored place is an underground pipe gallery, the corresponding real-time propagation medium parameter can be the real-time humidity; and when the to-be-monitored place is a chemical plant, the corresponding real-time propagation medium parameter can be the real-time corrosive gas concentration.

[0057] It can be understood that the real-time propagation medium parameters can be acquired by an environmental monitoring unit installed at a position in the to-be-monitored place where the parameters can be accurately detected. For example, a dust concentration sensor or the like can be pre-installed at a position close to a dust-producing device or an air vent in the mine, and the dust concentration sensor can monitor the dust concentration and other environmental parameters affecting signal propagation in the mine in real time, and transmit the collected data to the adjustment device at a fixed period (such as once per second).

[0058] Step S20, acquiring real-time wireless signal quality parameters of the to-be-monitored place;

[0059] It will be readily understood that the aforementioned real-time wireless signal quality parameters may be the real-time signal strength, real-time signal-to-noise ratio, and / or real-time packet loss rate corresponding to the monitored location, which can be obtained via signal monitoring units located at various locations within the monitored location. For example, in this embodiment, multiple signal monitoring nodes may be deployed at various locations in a mine (e.g., mining working faces, transport tunnels, ventilation tunnels, etc.), with the signal monitoring unit at each monitoring node monitoring key wireless signal indicators such as signal strength, signal-to-noise ratio, and packet loss rate in real time. Each signal monitoring unit collects signal data at the same acquisition frequency as the aforementioned environmental monitoring unit and transmits it to the control device to ensure data time alignment.

[0060] Step S30: determining a signal adjustment strategy corresponding to the location to be monitored based on the real-time propagation medium parameter and the real-time wireless signal quality parameter.

[0061] It is easy to understand that traditional wireless adjustment solutions usually rely solely on signal strength thresholds to trigger the signal adjustment process. Not only can they not effectively distinguish whether signal attenuation is caused by medium changes (such as a sudden increase in dust) or equipment failure (such as antenna damage), but they must also adjust only after signal quality deteriorates. They cannot predict the trend of medium changes, and the adjustment response is seriously delayed.

[0062] Compared with traditional adjustment schemes, this embodiment can monitor the propagation medium parameters and wireless signal quality parameters of the monitored location in real time, and dynamically adjust the signal adjustment strategy by combining the two. It can effectively overcome the interference of complex environments on wireless signals, improve the coverage and stability of wireless signals in complex industrial environments, and reduce signal interruption and delay.

[0063] Furthermore, stable wireless communication ensures timely and accurate data transmission between devices in complex industrial environments, facilitating real-time monitoring and remote control of production equipment in these environments, thereby improving production efficiency. In emergency situations, it ensures personnel location and timely transmission of emergency rescue instructions, enhancing operational safety in these environments. Therefore, the adjustment method proposed in this embodiment can meet the communication needs of intelligent production in complex industrial environments, ensuring operational safety.

[0064] At the same time, this embodiment can reduce equipment failures and maintenance costs caused by unstable signals, avoid production delays caused by communication problems, and optimize the energy consumption of wireless communication equipment by intelligently adjusting signals, further reducing energy costs.

[0065] Furthermore, the single power adjustment mechanism in existing wireless signal conditioning solutions is inefficient when medium parameters degrade. For example, compensating for 10dB (decibel) in high-frequency bands results in a 50% increase in power consumption, but the actual gain is only 2dB, resulting in wasted resources. For example, in this embodiment, the signal conditioning strategy may include transmit power adjustment, antenna direction adjustment, and / or communication band switching.

[0066] This embodiment provides a wireless signal adjustment method, comprising: obtaining real-time propagation medium parameters of the monitored location; obtaining real-time wireless signal quality parameters of the monitored location; and determining a signal adjustment strategy corresponding to the monitored location based on the real-time propagation medium parameters and the real-time wireless signal quality parameters. Compared to traditional adjustment schemes, this embodiment can effectively overcome interference from complex environments on wireless signals by monitoring the propagation medium parameters and wireless signal quality parameters of the monitored location in real time and dynamically adjusting the signal adjustment strategy based on the two. This can improve the coverage and stability of wireless signals in complex industrial environments, reduce signal interruptions and delays, and ensure wireless communication quality in complex industrial scenarios.

[0067] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction and will not be repeated later.

[0068] Based on the first embodiment, please refer to Figure 2 , Figure 2 This is a flow chart of a second embodiment of the wireless signal adjustment method of the present application. In this embodiment, step S30 includes steps S31-S32:

[0069] Step S31, determining a current signal attenuation type based on the real-time propagation medium parameter and the real-time wireless signal quality parameter;

[0070] Step S32: determining a signal adjustment strategy corresponding to the location to be monitored according to the current signal attenuation type.

[0071] It is easy to understand that in order to accurately determine the cause of wireless signal attenuation in a complex industrial environment so as to take effective adjustment measures, this embodiment can conduct a comprehensive analysis based on environmental data and signal indicators to judge the current transmission status of the wireless signal, determine whether the above-mentioned current signal attenuation is dominated by the signal propagation medium or caused by other factors (such as obstacle obstruction, equipment failure, etc.), and then select a suitable signal adjustment strategy.

[0072] At this point, the control device first filters the received real-time propagation medium parameters and real-time wireless signal quality parameters to eliminate outliers (such as sudden changes in data caused by brief sensor failures). Based on this preprocessed data, the device then analyzes whether the current signal attenuation type is medium-dominant or non-medium-dominant. This process correlates the medium parameters and signal quality parameters at the same point in time at the monitored location, forming a three-dimensional dataset of time, medium parameters, and signal quality parameters, providing a foundation for subsequent analysis.

[0073] In a feasible implementation, in this embodiment, step S31 may include steps A1 to A3:

[0074] Step A1, determining a current medium level based on the real-time propagation medium parameters;

[0075] Step A2: obtaining a preset wireless signal quality range corresponding to the current medium level;

[0076] Step A3: Determine the current signal attenuation type based on the preset wireless signal quality range, the real-time wireless signal quality parameter, and the current medium level.

[0077] First, this embodiment can determine the current medium level based on real-time propagation medium parameters. For example, in a mine environment, based on mine production experience, this embodiment can classify the current medium level into three concentration levels based on dust concentration: low concentration level (<500mg / m³), medium concentration level (500mg / m³ to 2000mg / m³), and high concentration level (>2000mg / m³).

[0078] Among them, the low concentration level indicates that the dust concentration has little effect on signal attenuation; the medium concentration level indicates that the dust concentration will cause obvious signal attenuation and may trigger adjustment; the high concentration level indicates that the dust concentration will cause serious signal attenuation and requires forced adjustment.

[0079] It is understandable that the preset wireless signal quality range can be a theoretical signal quality range that is pre-divided into different levels of propagation medium parameters based on generation experience or historical environmental data monitored at the monitored location. Then, this embodiment can combine the preset wireless signal quality range and real-time signal monitoring data to determine the current signal attenuation type by comparing the actual signal attenuation with the theoretical value.

[0080] For example, in a mine environment, the preset wireless signal quality range may include theoretical signal strength values ​​corresponding to different levels. For example, for low concentrations, the theoretical signal strength value should be greater than -65dBm (Decibel Milliwatt), for medium concentrations, the theoretical signal strength value should be between -70dBm and -65dBm, and for high concentrations, the theoretical signal strength value should be less than -70dBm. If the current medium concentration level is detected, the corresponding preset wireless signal quality range may be determined from the signal attenuation model to be -70dBm to -65dBm.

[0081] Furthermore, the preset wireless signal quality range can be determined using an attenuation database established based on historical monitoring data from the monitored location. This attenuation database can include signal attenuation values ​​corresponding to different communication frequency bands. For example, when the dust concentration is 1000 mg / m³, the 5G band signal attenuates by approximately 15 dBm, and the 2.4G band signal attenuates by approximately 10 dBm; or, for every 500 mg / m³ increase in concentration, the attenuation increases by 5-8 dBm (the specific attenuation value depends on the frequency band and is not limited in this embodiment).

[0082] Furthermore, the preset wireless signal quality range can also be determined by the adjustment device directly invoking a pre-trained signal attenuation model based on the real-time propagation medium parameters. For example, if the real-time propagation medium parameter is a dust concentration of 1500mg / m³ and the current communication frequency band is the 2.4GHz band, the adjustment device can call the attenuation model for the corresponding frequency band to calculate the theoretical signal loss value, and find that the theoretical attenuation of the 2.4GHz band under a dust concentration of 1500mg / m³ is 13dBm. Finally, the adjustment device can compare the real-time wireless signal quality parameters with the preset wireless signal quality range and determine the current signal attenuation type based on the current medium level.

[0083] It is understood that in this embodiment, when the current medium level is a low concentration level, if the difference between the preset wireless signal quality range and the real-time wireless signal quality parameter exceeds the preset signal deviation value, it can be determined as non-medium-dominated attenuation;

[0084] When the current medium concentration level is a medium concentration level or a high concentration level, if the difference between the preset wireless signal quality range and the real-time wireless signal quality parameter exceeds the preset signal deviation value, it can be determined as medium-dominated attenuation;

[0085] When the current medium level is a medium concentration level or a high concentration level, but the difference between the preset wireless signal quality range and the real-time wireless signal quality parameter does not exceed the preset signal deviation value, it means that the current signal adjustment strategy is effective, and the existing parameters are maintained and monitored continuously.

[0086] For example, when the dust concentration in a mine environment is normal and is determined to be low, if the actual signal strength is less than -65dBm (i.e., the preset wireless signal quality range), the signal attenuation is determined to be unrelated to dust. In this case, the current signal attenuation type is non-dust-dominated or non-medium-dominated attenuation.

[0087] When the dust concentration in a mine environment is determined to be medium-high, if the actual signal strength is less than the theoretical expected lower limit of the corresponding level, it is determined that the signal attenuation is dominated by dust, and the current signal attenuation type is dust-dominated or medium-dominated.

[0088] When the dust concentration in a mine environment is determined to be medium to high, but the actual signal strength is still within the theoretical expected range (e.g., signal strength > -70dBm at high concentration), the existing parameters are maintained and monitoring is continued.

[0089] In a first feasible implementation, in this embodiment, step S32 may include step B1:

[0090] Step B1: If the current signal attenuation type is medium-dominated, perform communication frequency band switching and / or perform transmission power adjustment.

[0091] It is easy to understand that referring to Figure 3 It can be seen that Figure 3 This is a schematic diagram of the medium-dominated adjustment process of the second embodiment of the wireless signal adjustment method of this application. In this embodiment, when the adjustment device determines that it is medium-dominated, the communication frequency band switching and / or the transmission power adjustment can be performed. In this process, in order to reduce power loss, the above-mentioned adjustment measures can give priority to the communication frequency band switching, switching the current communication frequency band from the 5G band to the more penetrating 2.4G band. The relatively strong penetration ability of the 2.4G band is used to ensure that the signal continues to propagate effectively in complex industrial environments such as high-dust environments.

[0092] If the current communication frequency band is already 2.4 GHz, or switching the communication frequency band cannot effectively meet the signal quality requirements, the compensation power of the current frequency band can be calculated according to the power compensation coefficient corresponding to the current medium level (for example, increase by 5 dBm for medium concentration and 10 dBm for high concentration) to perform transmit power adjustment to compensate for signal loss caused by absorption and scattering of propagation media such as dust.

[0093] For example, if the current communication frequency band is the 5G band, the dust concentration reaches the medium concentration level (500-2000mg / m³) and the actual signal strength is lower than the corresponding threshold, the system can switch the signal to the 2.4G band and increase the transmission power by 5dBm according to the scheme corresponding to the medium concentration level to compensate for the attenuation of the signal by dust.

[0094] In addition, in this embodiment, a power cap (e.g., 50dBm) can be set to prevent device overload caused by continuous compensation in high-dust environments. If the power cap is reached and signal requirements are still insufficient, multi-device coordinated compensation can be triggered. For example, this can control neighboring wireless signal transmitters to automatically increase power to achieve signal overlap, or activate an alternative frequency band, such as switching to the lower-frequency ISM (Industrial Scientific and Medical Band).

[0095] In this embodiment, in order to address dielectric-dominated attenuation, the signal penetration ability and propagation distance can be effectively enhanced by switching to a frequency band that is more suitable for complex industrial environments and combining it with reasonable power adjustment methods, thereby ensuring the stable transmission of wireless communication signals in the monitored area and improving communication quality.

[0096] In a feasible implementation, in this embodiment, step B1 may include steps C1 to C3:

[0097] Step C1, determining an initial power compensation value according to the current communication frequency band and the current medium level;

[0098] It should be understood that in this embodiment, different preset power compensation coefficients can be pre-set based on different media levels and frequency band characteristics, and the corresponding initial power compensation value can be obtained from the preset power compensation coefficients based on the current communication frequency band and the current media level. For example, when the media level is a dust concentration level, the preset power compensation coefficients can be as shown in Table 1 below. Table 1 shows the preset power compensation coefficients for different dust concentration levels in various frequency bands.

[0099] Table 1 Preset power compensation coefficients for different dust concentration levels in each frequency band

[0100]

[0101] Therefore, if the current communication frequency band is the 2.4 GHz band and the current medium level is the medium concentration level, the initial power compensation value obtained from the preset power compensation coefficient may be +3 to +8 dBm.

[0102] Step C2, optimizing the initial power compensation value based on the real-time signal error and the dynamic power adjustment algorithm to determine an optimized power compensation value;

[0103] Step C3: When it is detected that the real-time wireless signal quality parameter does not match the preset wireless signal quality range, the transmit power is adjusted according to the optimized power compensation value.

[0104] It should be noted that in order to further improve the power adjustment accuracy and optimize power usage, this embodiment may further adopt a proportional-integral (PI) control algorithm as the above-mentioned dynamic power adjustment algorithm, and optimize the initial power compensation value based on the real-time signal error (the difference between the target wireless signal quality parameter and the actual wireless signal quality parameter, such as the difference between the target signal strength and the actual signal strength).

[0105] It's understandable that power compensation based on the different dust concentration levels in Table 1 is triggered only when the real-time wireless signal quality parameters do not match the preset wireless signal quality range. For example, when the dust concentration is 1800mg / m³ (medium level), the 5G frequency band is currently being used, and the real-time signal strength is -72dBm (the preset signal strength threshold is -65dBm), the power compensation value can be 10dBm. After adjustment, the transmit power increases by 10dBm, and the target signal strength is -62dBm.

[0106] At this point, if the real-time wireless signal quality parameter is detected to be mismatched with the preset range, the transmit power can be adjusted based on the optimized power compensation value. For example, if the target signal strength is -62dBm and the actual signal strength is -68dBm, the power compensation value determined after optimization calculation is +3dBm. The power adjustment unit will increase the real-time transmit power by 3dBm to bring the signal strength closer to the target value.

[0107] Furthermore, after transmit power adjustment, if the adjustment device detects undercompensation (e.g., target -62dBm, actual -68dBm), it automatically increases the compensation (e.g., +3dBm). If overcompensation occurs (e.g., signal strength > -60dBm), the power is gradually reduced to avoid interference in other areas. Furthermore, each secondary adjustment data is saved and used to optimize the PI controller parameters in the dynamic power adjustment algorithm, reducing the average compensation error from ±3dBm to ±1.5dBm.

[0108] It is easy to understand that complex industrial scenes often contain obstacles such as rocks, metal supports, and equipment, which not only block signal propagation but also cause signal reflection and refraction, resulting in signal interference and multipath fading. These factors cause a serious decline in signal quality, and communications are often interrupted or delayed. Existing technologies are difficult to adapt to such complex environments and cannot guarantee stable communication quality, which restricts the advancement of intelligent production and even poses a threat to safe production. Therefore, in the second feasible implementation, in this embodiment, step S32 may include step B2:

[0109] Step B2: If the current signal attenuation type is non-medium-dominated, perform transmit power adjustment or antenna direction adjustment.

[0110] It's understandable that if non-medium-dominated attenuation is determined, the system can simply adjust the transmit power or antenna direction to avoid misjudgment and incorrect frequency switching. For example, if a signal monitoring node reports that the signal strength in a certain area is below a threshold, the control device can control the power adjustment unit to appropriately increase the transmit power to enhance signal coverage in that area; or it can control the antenna steering unit to adjust the direction of the smart antenna to avoid obstacles and select a path with minimal signal propagation loss in the area.

[0111] In a feasible implementation, in this embodiment, step B2 may include steps D1 to D3:

[0112] Step D1, obtaining obstacle distribution information and a list of preset antenna positions of the location to be monitored;

[0113] Step D2, determining an unobstructed transmission path based on the obstacle distribution information;

[0114] Step D3: determining the rotation angle and / or movement direction of the smart antenna according to the unobstructed transmission path and the preset antenna position list.

[0115] As will be readily understood, in this embodiment, a camera or obstacle detection radar can scan the space of the location to be inspected in real time, acquiring information such as the location, shape, and size of obstacles—the aforementioned obstacle distribution information—and transmitting it to the control device. Furthermore, the control device pre-stores a list of common antenna positions, including optimal antenna angle and position settings for different scenarios, corresponding to the aforementioned list of preset antenna positions.

[0116] Furthermore, the control device can calculate an unobstructed path for signal propagation based on obstacle distribution information and signal monitoring data. For example, if the radar detects an obstacle blocking the signal ahead, the control device can use a path planning algorithm to find a feasible path around the obstacle.

[0117] Finally, the adjustment device sends control commands to the antenna steering unit based on the unobstructed transmission path and the list of preset antenna positions, adjusting the horizontal and vertical rotation angles and rotation speed of the smart antenna. For example, the antenna can be controlled to rotate horizontally 30° to re-align with the target area after avoiding obstacles, ensuring that the signal is transmitted along the optimal path. In addition, this embodiment can assign position numbers to different positions in the preset antenna position list. When quick adjustment is required, the preset position number can be directly called (for example, "Call preset position 5"), causing the pan / tilt control unit (PTZ) to automatically rotate to the target angle along the optimal path, significantly reducing antenna adjustment response time.

[0118] Furthermore, if there are multiple obstacles or a complex obstacle layout, and simply adjusting the antenna direction cannot effectively solve the signal problem, the adjustment device combines the data from the signal monitoring unit to evaluate the signal penetration ability and interference conditions of different frequency bands, and selects a more suitable frequency band for signal transmission through the frequency switching module (such as switching from 5G to 2.4G band, or selecting a channel with less interference within the 2.4G band) to enhance the signal's ability to bypass or penetrate obstacles.

[0119] In this embodiment, for non-dust dominant attenuation, appropriate adjustment mode (transmit power adjustment or antenna direction adjustment) is selected, which can effectively solve the signal transmission problem caused by obstacles and the like, improve the coverage range and quality of the signal, avoid unnecessary switching of frequency bands, save resources and reduce system complexity. At the same time, by accurately controlling the antenna direction, the obstacles can be effectively avoided, the path with smaller signal propagation loss is selected, the penetration and diffraction ability of the signal is enhanced, the coverage range and quality of the signal are improved, and the reliability and stability of wireless communication in complex environment are improved.

[0120] In summary, the embodiment can effectively solve the unstable communication problem in the complex environment. By monitoring the real-time propagation medium parameters and obstacle distribution of the to-be-monitored place in real time, and combining the joint judgment of the real-time propagation medium parameters and the real-time wireless signal quality parameters, the three-dimensional adjustment of "environment perception - frequency band optimization - power accurate compensation" is realized.

[0121] In addition, the embodiment accurately distinguishes the signal attenuation type to select the appropriate adjustment strategy, such as using communication frequency band switching and / or transmit power adjustment for medium dominant attenuation, and using transmit power adjustment or antenna direction adjustment for non-medium dominant attenuation, thereby avoiding resource waste caused by "one-size-fits-all" adjustment, improving the effectiveness and accuracy of adjustment, and avoiding resource waste and invalid adjustment.

[0122] Specifically, the embodiment divides the signal attenuation into "medium dominant type" and "non-medium dominant type", the former uses "power + frequency band" composite adjustment, and the latter only adjusts the power or antenna direction, thereby avoiding resource waste or poor effect caused by "one-size-fits-all" adjustment.

[0123] When it is determined that it is "dust dominant attenuation", the 2.4G frequency band (which has stronger penetration) is preferentially switched to, and the transmit power is adjusted in combination with the current medium level, such as the power compensation coefficient corresponding to the dust concentration level (such as increasing 5dBm for medium concentration and increasing 10dBm for high concentration);

[0124] When it is determined that it is "non-dust factor attenuation", only the transmit power or the antenna direction can be adjusted to avoid rate loss caused by frequency band mis-switching. At the same time, by intelligently adjusting the strength and direction of the wireless signal, the interference of the complex environment to the signal can be effectively overcome, the coverage range and stability of the wireless signal in the complex industrial environment can be greatly improved, the signal interruption and delay phenomenon can be reduced, and the communication stability can be significantly improved.

[0125] This embodiment discloses determining the current medium level based on real-time propagation medium parameters; obtaining a preset wireless signal quality range corresponding to the current medium level; and determining the current signal attenuation type based on the preset wireless signal quality range, the real-time wireless signal quality parameters, and the current medium level. If the current signal attenuation type is medium-dominant, communication frequency band switching and / or transmit power adjustment are performed; if the current signal attenuation type is non-medium-dominant, transmit power adjustment or antenna direction adjustment are performed. Transmit power adjustment includes: determining an initial power compensation value based on the current communication frequency band and the current medium level; optimizing the initial power compensation value based on real-time signal error and a dynamic power adjustment algorithm to determine an optimized power compensation value; and adjusting transmit power based on the optimized power compensation value when a mismatch between the real-time wireless signal quality parameters and the preset wireless signal quality range is detected. Antenna direction adjustment includes: obtaining obstacle distribution information and a preset antenna position list for the monitored location; determining an unobstructed transmission path based on the obstacle distribution information; and determining the rotation angle and / or movement direction of the smart antenna based on the unobstructed transmission path and the preset antenna position list. This embodiment effectively addresses unstable communications in complex environments. By monitoring the real-time propagation medium parameters and obstacle distribution at the monitored location in real time, and combining these with real-time wireless signal quality parameters, it achieves a three-dimensional approach to regulation: environmental awareness, frequency band optimization, and precise power compensation. By accurately distinguishing signal attenuation types, it selects appropriate regulation strategies, such as frequency band switching and transmit power adjustment for medium-dominant attenuation and transmit power adjustment or antenna orientation adjustment for non-medium-dominant attenuation. This avoids the waste of resources caused by a "one-size-fits-all" approach, improves the effectiveness and accuracy of regulation, and prevents resource waste and ineffective adjustments.

[0126] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the wireless signal adjustment method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0127] This application also provides a wireless signal conditioning device, please refer to Figure 4 , Figure 4 This is a schematic diagram of the module structure of the wireless signal conditioning device according to an embodiment of the present application. In this embodiment, the wireless signal conditioning device includes:

[0128] The first signal transmission module T1 is used to obtain real-time propagation medium parameters of the place to be monitored;

[0129] The second signal transmission module T2 is used to obtain the real-time wireless signal quality parameters of the place to be monitored;

[0130] The adjustment module T3 is used to determine the signal adjustment strategy corresponding to the monitored location based on the real-time propagation medium parameter and the real-time wireless signal quality parameter.

[0131] As an implementable embodiment, in this embodiment, the adjustment module T3 is also used to obtain the real-time propagation medium parameters of the place to be monitored; obtain the real-time wireless signal quality parameters of the place to be monitored; and determine the signal adjustment strategy corresponding to the place to be monitored based on the real-time propagation medium parameters and the real-time wireless signal quality parameters.

[0132] As an implementable embodiment, in this embodiment, the adjustment module T3 is also used to determine the current signal attenuation type based on the real-time propagation medium parameters and the real-time wireless signal quality parameters; and determine the signal adjustment strategy corresponding to the monitored place according to the current signal attenuation type.

[0133] As an implementable method, in this embodiment, the adjustment module T3 is also used to determine the current medium level based on the real-time propagation medium parameter; obtain the preset wireless signal quality range corresponding to the current medium level; and determine the current signal attenuation type based on the preset wireless signal quality range, the real-time wireless signal quality parameter and the current medium level.

[0134] As an implementable method, in this embodiment, the adjustment module T3 is further configured to perform communication frequency band switching and / or transmit power adjustment if the current signal attenuation type is medium-dominated.

[0135] As an implementable method, in this embodiment, the adjustment module is further configured to perform transmit power adjustment or antenna direction adjustment if the current signal attenuation type is non-medium-dominated.

[0136] As an implementable embodiment, in this embodiment, the adjustment module is also used to determine the initial power compensation value based on the current communication frequency band and the current medium level; optimize the initial power compensation value based on the real-time signal error and dynamic power adjustment algorithm to determine the optimized power compensation value; when it is detected that the real-time wireless signal quality parameter does not match the preset wireless signal quality range, the transmission power is adjusted according to the optimized power compensation value.

[0137] As an implementable embodiment, in this embodiment, the adjustment module is also used to obtain the obstacle distribution information and preset antenna position list of the place to be monitored; determine an unobstructed transmission path based on the obstacle distribution information; and determine the rotation angle and / or moving direction of the smart antenna according to the unobstructed transmission path and the preset antenna position list.

[0138] The wireless signal conditioning device provided in this application utilizes the wireless signal conditioning method described in the aforementioned embodiments to address the technical issues surrounding wireless signal conditioning. Compared to the prior art, the wireless signal conditioning device provided in this application achieves the same beneficial effects as the wireless signal conditioning method described in the aforementioned embodiments. Other technical features of the wireless signal conditioning device are the same as those disclosed in the aforementioned embodiments and are not further detailed here.

[0139] The present application embodiment provides a wireless signal conditioning system, please refer to Figure 5 , Figure 5 This is a first architectural diagram of the wireless signal conditioning system according to an embodiment of the present application.

[0140] The wireless signal conditioning system includes an environment monitoring module 100, a signal monitoring module 200 and a central controller 300;

[0141] The environment monitoring module 100 and the signal monitoring module 200 are both connected to the central controller 300;

[0142] The central controller 300 is further configured to execute the steps of the wireless signal adjustment method provided in the above embodiment.

[0143] It is understandable that the above-mentioned environmental monitoring module 100 can be composed of signal propagation medium detection devices such as dust concentration sensors, humidity sensors and / or gas concentration sensors, and obstacle detection equipment such as obstacle detection radars or cameras.

[0144] Among them, the signal propagation medium detection device is usually installed in the monitored place at a position where the parameters can be accurately detected. For example, the dust concentration sensor can be installed near the dust-producing equipment or ventilation holes and other locations where the dust concentration can be accurately detected. The dust particle concentration data in the air is collected in real time at a fixed period of once per second, and is timestamped and then transmitted to the central controller 300.

[0145] The obstacle detection equipment is usually installed in a location with a wide field of view and can effectively scan the space of the monitored place to effectively scan and obtain information such as the location, shape and size of the obstacle, and transmit the data to the central controller 300.

[0146] In the system, the signal monitoring module 200 typically consists of multiple signal monitoring nodes distributed across various locations within the monitored site (e.g., mining working faces, haul tunnels, ventilation tunnels, etc.). These nodes continuously collect key metrics such as signal strength, signal-to-noise ratio, and packet loss rate of wireless communication signals in their respective areas, and transmit this data to the central controller 300. The collection frequency aligns with the dust concentration data to ensure data time alignment.

[0147] The central controller 300 as the system processing subject can be arranged in the control room of the place to be monitored, receives the data transmitted by the environment monitoring module 100 and the signal monitoring module 200 through wired or wireless mode, performs comprehensive analysis according to the environment data and the signal index by means of the built-in intelligent algorithm, judges the transmission condition of the current Wi-Fi signal, and generates specific adjustment instructions.

[0148] Further, the central controller 300 is connected with the signal adjustment device integrated in the signal transmitting device. As an implementable mode, referring to Figure 6 , Figure 6 Fig. 2 is a second architecture schematic diagram of the wireless signal adjustment system according to the embodiment of the application. In the embodiment, the system further comprises a signal adjustment module 400; the signal adjustment module 400 comprises a power adjustment unit 401, an antenna steering unit 402 and a frequency switching unit 403; the power adjustment unit 401, the antenna steering unit 402 and the frequency switching unit 403 are all connected with the central controller 300.

[0149] The power adjustment unit 401 is configured to dynamically adjust the transmission power of the wireless signal according to the instruction of the central controller 300, so as to enhance or weaken the signal strength.

[0150] Further, the power adjustment unit 401 can adopt a combination of a digital attenuator and a power amplifier (PA), supports fine adjustment of 0.5dBm level, and the adjustment range is-30dBm to +20dBm. The power adjustment unit 401 is provided with a temperature sensor, which monitors the temperature of the power device in real time, and automatically reduces the capacity when the temperature exceeds 80℃, so as to avoid damage caused by overheating.

[0151] The central controller 300 is connected with the power adjustment unit 401 through an isolated RS485 bus, prevents the instruction error code caused by electromagnetic interference, and ensures the accurate transmission of the power adjustment instruction.

[0152] Through the above scheme, the system can realize dynamic and accurate compensation of the signal strength in the dust environment, combines the frequency band switching and the subsequent antenna steering, forms multi-level anti-interference capability, and guarantees the stable transmission of the wireless signal in the complex industrial environment.

[0153] The antenna steering unit 402 is configured to control the direction of the intelligent antenna according to the instruction of the central controller 300, so that the signal is transmitted towards the direction with better signal quality. The antenna steering unit 402 can comprise an intelligent antenna and a gimbal. The intelligent antenna can be a rotatable antenna array integrated on the top of the wireless signal transmitting device, supports horizontal 360° rotation and vertical ±90° rotation; the gimbal can be an industrial-grade high-precision gimbal, is provided with a stepping motor and an angle sensor, has a bearing capacity adapted to the weight of the antenna, and supports an RS485 communication interface.

[0154] The central controller 300 can be connected to the PTZ via the RS485 bus and serve as a command transmitter, with a built-in PELCO-D protocol parsing module.

[0155] The frequency switching unit 403 is used to switch between different frequency bands (such as 5G and 2.4G bands) according to the instructions of the central controller 300 to optimize the signal transmission effect.

[0156] To sum up, in this embodiment, the environmental monitoring module 100, the signal monitoring module 200, the central controller 300 and the signal adjustment module 400 work together to realize automatic adjustment of the wireless signal according to the real-time changes in the mine environment, which is different from the traditional single signal adjustment method. The entire system is in a real-time operation state, and the environmental monitoring module 100 and the signal monitoring module 200 continuously collect data and continuously transmit the data to the central controller 300. The central controller 300 dynamically adjusts the parameters of each unit in the signal adjustment module 400 based on the latest data to achieve real-time optimization of the wireless signal strength, direction and frequency. As the mining operation progresses, the mine environment is constantly changing, and the system can respond to these changes in a timely manner, automatically adjust the signal parameters, and ensure the stability of wireless communication.

[0157] The wireless signal conditioning system provided in the embodiments of this application can solve the technical problem of how to ensure the quality of wireless signal communication. Compared with the prior art, the beneficial effects of the wireless signal conditioning system provided in the embodiments of this application are the same as the beneficial effects of the wireless signal conditioning method provided in the above embodiments, and will not be repeated here.

[0158] The present application provides a storage medium having computer-readable program instructions (ie, a wireless signal conditioning program) stored thereon, wherein the computer-readable program instructions are used to execute the wireless signal conditioning method in the above-mentioned embodiment.

[0159] The storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0160] The above-mentioned storage medium may be included in the wireless signal conditioning device; or may exist independently without being assembled into the wireless signal conditioning device.

[0161] The storage medium carries one or more programs. When the one or more programs are executed by the wireless signal conditioning device, the wireless signal conditioning device can: perform wireless signal conditioning.

[0162] The wireless signal conditioning program code for performing the operations of the present application can be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can execute entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0163] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of the systems, methods, and wireless signal conditioning program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the boxes may also occur in an order different from that marked in the accompanying drawings. For example, two boxes shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, as well as combinations of boxes in the block diagram and / or flowchart, may be implemented using a dedicated hardware-based system that performs the specified functions or operations, or may be implemented using a combination of dedicated hardware and computer instructions.

[0164] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0165] The readable storage medium provided in this application is a storage medium storing computer-readable program instructions (i.e., a wireless signal conditioning program) for executing the aforementioned wireless signal conditioning method. This storage medium addresses the technical issue of ensuring wireless signal communication quality. Compared to the prior art, the beneficial effects of the storage medium provided in this application are similar to those of the wireless signal conditioning method provided in the aforementioned embodiments, and are not further elaborated here.

[0166] The above are only some embodiments of the present application and do not limit the scope of the present application. All equivalent structural transformations made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the scope of protection of the present application.

Claims

1. A wireless signal adjustment method, characterized in that: The wireless signal adjustment method comprises the following steps: Obtain real-time propagation medium parameters of the place to be monitored; Obtaining real-time wireless signal quality parameters of the location to be monitored; Determining a signal adjustment strategy corresponding to the location to be monitored based on the real-time propagation medium parameter and the real-time wireless signal quality parameter; The step of determining the signal adjustment strategy corresponding to the monitored location based on the real-time propagation medium parameter and the real-time wireless signal quality parameter includes: determining a current signal attenuation type based on the real-time propagation medium parameter and the real-time wireless signal quality parameter; Determining a signal adjustment strategy corresponding to the location to be monitored according to the current signal attenuation type; The step of determining the current signal attenuation type based on the real-time propagation medium parameter and the real-time wireless signal quality parameter includes: determining a current medium level based on the real-time propagation medium parameter; Obtaining a preset wireless signal quality range corresponding to the current medium level; A current signal attenuation type is determined based on the preset wireless signal quality range, the real-time wireless signal quality parameter, and the current medium level.

2. The wireless signal adjustment method according to claim 1, wherein: The step of determining the signal adjustment strategy corresponding to the monitored location according to the current signal attenuation type includes: If the current signal attenuation type is medium-dominated, communication frequency band switching and / or transmit power adjustment are performed.

3. The wireless signal adjustment method according to claim 1, wherein: The step of determining the signal adjustment strategy corresponding to the monitored location according to the current signal attenuation type further includes: If the current signal attenuation type is non-medium-dominated, transmit power adjustment or antenna direction adjustment is performed.

4. The wireless signal adjustment method according to claim 2 or 3, wherein: The performing transmit power adjustment includes: Determining an initial power compensation value according to the current communication frequency band and the current medium level; Optimizing the initial power compensation value based on the real-time signal error and the dynamic power adjustment algorithm to determine an optimized power compensation value; When it is detected that the real-time wireless signal quality parameter does not match the preset wireless signal quality range, the transmit power is adjusted according to the optimized power compensation value.

5. The wireless signal adjustment method according to claim 3, wherein: The performing antenna direction adjustment includes: Obtaining obstacle distribution information and a list of preset antenna positions for the location to be monitored; determining an unobstructed transmission path based on the obstacle distribution information; The rotation angle and / or movement direction of the smart antenna is determined according to the unobstructed transmission path and the preset antenna position list.

6. A wireless signal conditioning device, characterized in that: The device comprises: A first signal transmission module is used to obtain real-time propagation medium parameters of the place to be monitored; A second signal transmission module is used to obtain real-time wireless signal quality parameters of the place to be monitored; an adjustment module, configured to determine a signal adjustment strategy corresponding to the monitored location based on the real-time propagation medium parameter and the real-time wireless signal quality parameter; The adjustment module is further configured to determine a current signal attenuation type based on the real-time propagation medium parameter and the real-time wireless signal quality parameter; and determine a signal adjustment strategy corresponding to the monitored location according to the current signal attenuation type; The adjustment module is further used to determine the current medium level based on the real-time propagation medium parameter; obtain a preset wireless signal quality range corresponding to the current medium level; and determine the current signal attenuation type based on the preset wireless signal quality range, the real-time wireless signal quality parameter, and the current medium level.

7. A wireless signal conditioning system, characterized in that: The system includes: an environment monitoring module, a signal monitoring module and a central controller; The environment monitoring module and the signal monitoring module are both connected to the central controller; The central controller is further configured to execute the steps of the wireless signal adjustment method according to any one of claims 1 to 5.

8. A storage medium, characterized in that: The storage medium stores a wireless signal adjustment program, and when the wireless signal adjustment program is executed by the processor, the steps of the wireless signal adjustment method according to any one of claims 1 to 5 are implemented.

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