Subminiature three-network communication base station

Abstract

The invention relates to the technical field of communication, and discloses an ultra-small three-network-communication base station, which comprises a baseband processing module for acquiring multi-band signals and generating a spectrum allocation result; the power amplification module adjusts the output power through the dynamic bias voltage according to the result; the antenna module adjusts the antenna expansion and contraction amount and mode by combining power and spectrum parameters; the power management module generates a composite energy supply strategy according to the system state; the heat management module controls the temperature through a variable-speed fan and a diamond heat dissipation layer; the fault monitoring module recognizes abnormity based on multi-parameter combined judgment logic and sends out a processing instruction, and all the modules cooperatively improve the performance and stability of the system. By adopting the technical scheme that the baseband processing module and the power amplification module are in close cooperation, the technical effects of efficient spectrum resource allocation and power output optimization are achieved, and accurate power regulation under different loads is realized, so that the energy consumption is effectively reduced, and the power utilization efficiency of the system is improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technologies, and particularly to an ultra-small triple-network communication base station. Background Art

[0002] In modern society, the development of communication technologies is advancing by leaps and bounds, and the demand for network signals from various devices is increasing. Especially in different environments such as cities and rural areas, the dense layout and efficient operation of base stations are crucial. However, with the continuous miniaturization of communication devices, traditional large base stations cannot meet the requirements of flexible deployment, low power consumption, and high performance. As a new solution, ultra-small base stations are becoming the mainstream trend of communication infrastructure due to their small size, low power consumption, and convenient deployment.

[0003] In the prior art, most ultra-small base stations adopt fixed spectrum resource allocation and simple power control methods. These systems can usually provide relatively stable signal transmission in specific frequency bands and fixed environments, and the power control and heat dissipation mechanisms can also ensure the normal operation of the base station under normal loads. Existing systems usually use a single power supply scheme to ensure the continuous operation of the base station. The heat dissipation part uses basic fans and thermoelectric materials to handle the heat generated by the equipment. These methods are effective in low-load and stable environments and can keep the equipment working properly.

[0004] However, there are some significant deficiencies in the prior art and it fails to flexibly respond to network load changes and environmental fluctuations. First of all, the static allocation method of spectrum resources is difficult to provide efficient resource utilization in a changing network environment, and it cannot be dynamically optimized according to the actual signal demand and interference situation, resulting in spectrum waste or signal attenuation. Secondly, most existing power adjustment technologies adopt fixed gain or simple adjustment methods and cannot flexibly respond to multi-frequency bands and different power requirements, which may lead to overheating of the equipment or energy waste. Moreover, traditional heat dissipation schemes usually rely on fixed temperature control strategies and cannot provide sufficient heat management when the equipment is overloaded, easily causing the equipment temperature to be too high and affecting the performance of the base station. Finally, the existing power management system lacks the ability to work in coordination with multiple energy sources and cannot dynamically adjust the energy use according to real-time environmental changes and load demands, resulting in low energy utilization efficiency and increased operating costs. For this reason, those skilled in the art have proposed an ultra-small triple-network communication base station to solve the above problems. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an ultra-small triple-network communication base station, which solves the problems of static spectrum resource allocation, inflexible power adjustment, insufficient heat dissipation management, and single power management in the prior art.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: An ultra-small triple-network communication base station, comprising: The baseband processing module collects the signal strengths of multiple frequency bands in real time through a multi-channel RF receiving unit and generates a spectrum allocation result through a dynamic resource allocation algorithm; The power amplification module adjusts the output power parameters through a dynamic bias voltage adjustment circuit based on the spectrum allocation result; The antenna module adjusts the telescopic amount of the antenna arm and the antenna operating mode through a stepper motor drive mechanism based on the spectrum allocation result and the power output parameters; The power management module generates a composite power supply strategy through a hybrid power supply controller according to the spectrum allocation result, the power output parameters, and the antenna operating mode; The thermal management module adjusts the operating state of the radiator through a variable-speed cooling fan and a diamond film heat dissipation layer based on the power output parameters; The fault monitoring module generates an exception handling instruction through a multi-parameter joint decision logic based on the antenna operating mode, the operating state of the radiator, and the spectrum allocation result.

[0007] Preferably, the baseband processing module includes: Synchronously collect the signal strengths of the 700 MHz, 2.6 GHz, and 3.5 GHz frequency bands through a multi-channel RF receiving unit; Calculate the resource allocation weights for each frequency band based on the signal strength matrix, and introduce an adjustment factor during weight calculation to prevent the denominator from being zero; Generate an antenna control instruction including frequency band priority and bandwidth ratio according to the resource allocation weights.

[0008] Preferably, the calculation of the resource allocation weights satisfies: ; Where: is the current signal strength of the th frequency band; is the adjustment factor; represents the resource allocation weight of the th frequency band; is the total number of supported frequency bands.

[0009] Preferably, the power amplification module includes: Switch to a Class AB power amplifier circuit in the low-frequency mode and a GaN HEMT power amplifier circuit in the high-frequency mode; Dynamically adjust the bias voltage according to the frequency band ratio in the spectrum allocation result, and the voltage adjustment step does not exceed 0.5 V; Control the junction temperature of the power amplifier tube not to exceed 150 °C through temperature feedback closed-loop control.

[0010] Preferably, the antenna module includes: Analyze the telescopic amount parameter in the antenna control instruction, and drive the stepper motor to adjust the length of the antenna arm with an accuracy of 0.1 mm; Switch between the omnidirectional radiation mode and the directional beamforming mode according to the peak power value in the power output parameter; Compensate in real time for the change in standing wave ratio caused by the telescoping of the antenna arm through the impedance matching network.

[0011] Preferably, the adjustment of the telescopic amount of the antenna arm satisfies: ; Where: is the target length of the antenna arm adjustment; is the reference length of the antenna arm; is the maximum adjustable length; is the adjustment sensitivity coefficient; is the maximum weight value among all current frequency bands; is the preset weight threshold.

[0012] Preferably, the power management module includes: Monitor the MPPT output of the solar panel, the thermoelectric voltage of the thermoelectric module, and the SOC state of the lithium battery; Calculate the energy supply ratio coefficients of solar energy, thermoelectricity, and battery according to the current total load power; Force the thermoelectric module to absorb the waste heat of the device itself to generate electricity in the night mode.

[0013] Preferably, the calculation of the energy supply ratio coefficient satisfies: ; Where: is the energy supply weight of the th type of energy; is the available power of the th type of energy; is the power margin adjustment factor; respectively represent three types of energy: solar energy, thermoelectricity, and lithium battery.

[0014] Preferably, the thermal management module includes: Collect the junction temperature of the power amplifier tube and the surface temperature gradient of the radiator through the embedded thermistor array; When the junction temperature exceeds 120 °C, linearly increase the rotational speed of the cooling fan to the maximum rated value; Set a silver sintered interface material between the diamond film heat dissipation layer and the radiator substrate to reduce the interface thermal resistance.

[0015] Preferably, the fault monitoring module includes: Perform a sliding window variance detection on the standing wave ratio parameter, and determine that the antenna is faulty when the variance exceeds the threshold; When the rising rate of the junction temperature exceeds 5 °C / s, the power back-off protection mechanism is triggered; When the spectrum allocation result is abnormal, force a switch to the preset emergency frequency band configuration.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: 1. The present invention adopts a technical solution in which the baseband processing module and the power amplifier module cooperate closely, achieving the technical effects of efficient spectrum resource allocation and optimized power output. Compared with the prior art solutions that rely solely on static spectrum allocation or fixed power output, the present invention realizes precise power adjustment under different loads by dynamically adjusting the bias voltage and resource weights, thereby effectively reducing energy consumption and improving the power utilization efficiency of the system.

[0017] 2. The present invention adopts a design solution of intelligent temperature control and multi-stage heat dissipation mechanism, achieving the technical effect of maintaining stable operation of the system under high load conditions. Compared with traditional heat dissipation solutions, the present invention combines a diamond film heat dissipation layer with a variable speed fan to adjust the heat dissipation capacity in real time, effectively avoiding the degradation of system performance caused by overheating, and significantly improving the heat dissipation efficiency and reliability of the base station equipment.

[0018] 3. The present invention adopts a fault monitoring technology based on a multi-parameter joint decision logic, achieving efficient and accurate fault detection and recovery capabilities. Compared with the prior art solutions that judge faults through a single monitoring parameter, the present invention comprehensively considers multiple parameters such as antennas, radiators, and spectrum allocation, not only improving the fault response speed but also ensuring the high availability of the system, enabling self-repair quickly when a fault occurs and reducing the downtime of the base station.

[0019] 4. The present invention adopts an intelligent energy management solution for a hybrid power supply controller, achieving the technical effects of low energy consumption and efficient energy utilization. Compared with traditional single power supply solutions, the present invention combines the collaborative work of multiple energy sources such as solar energy, thermoelectricity, and lithium batteries, and can dynamically adjust the energy distribution according to environmental conditions and load requirements, reducing energy waste, ensuring the stable operation of the base station, and significantly reducing the operating cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the system architecture of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] Next, in combination with the accompanying drawings of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0022] Please refer to the attached Figure 1 , the embodiments of the present invention provide a ultra-small three-network communication base station, including: A baseband processing module that collects the signal strengths of multiple frequency bands in real time through a multi-channel radio frequency receiving unit and generates a spectrum allocation result through a dynamic resource allocation algorithm; Specifically, in a ultra-small three-network communication base station involved in the present invention, the baseband processing module, as the starting unit of the core control logic, plays the roles of signal reception, channel analysis, spectrum resource allocation, and control instruction generation. This module is directly associated with the radio frequency receiving front end and the subsequent power amplification module, antenna module, and power management module, and has the characteristics of strong correlation and centralized processing logic. The spectrum allocation result output by it not only affects power scheduling, but also determines the working state of the antenna telescopic mechanism and the allocation strategy of energy supply resources. Therefore, the accuracy, algorithm robustness, and response speed of the baseband processing module are crucial for the stable operation of the entire three-network communication base station system.

[0023] In this embodiment, the baseband processing module includes a group of multi-channel radio frequency receiving units, and this receiving unit is used to receive wireless signals of multiple frequency bands in parallel. In practical applications, it can be configured to receive signals of three frequency bands of 700 MHz, 2.6 GHz, and 3.5 GHz. Each receiving channel is equipped with an independent filtering network and a low-noise amplifier to improve the signal-to-noise ratio. Generally, to prevent receiving intermodulation interference, a physical isolation structure is designed between each channel, and an asynchronous sampling mechanism is adopted.

[0024] In this embodiment, the process of collecting signal strength adopts a combination of synchronous sampling and spectrum estimation. Specifically, the sampling frequency can be set to more than 100 times per second, and each sampling includes at least 128-point data windows. The effective signal power of each frequency band is calculated through the fast Fourier transform (FFT). The signal strength is measured in dBm and sent to the resource allocation algorithm module in vector form.

[0025] In a possible implementation manner, a resource allocation unit is integrated inside the baseband processing module, and this unit is used to calculate the resource weights of each frequency band according to the signal strength of the current frequency band and generate a spectrum allocation result based on this. The resource allocation algorithm adopts a normalized proportional allocation strategy, and its calculation formula is as follows: ; Where: Indicates the resource allocation weight for the th frequency band, with the unit being dimensionless; is the current signal strength of the th frequency band, with the unit being dBm; is the total number of supported frequency bands, which takes the value of 3 in this embodiment; is an adjustment factor to prevent the denominator from being zero, usually taking a positive real number, and in this embodiment, is selected.

[0026] As an option, the resource allocation weight can also be used to calculate the frequency band priority and generate a spectrum control instruction with a priority field. This control instruction includes fields: frequency band number, allocated bandwidth ratio, interference tolerance threshold, and allocation duration, which are used to guide subsequent modules (such as the antenna module) to complete beam scheduling and carrier resource partitioning.

[0027] Specifically, after the baseband processing module completes resource allocation, it will generate an antenna control signal, which encodes the working weight of the frequency band, the target beam number, and the antenna arm adjustment recommended value.

[0028] In some embodiments, the resource allocation result is not only used for the operation instruction of the current cycle but can also be stored in a circular buffer for trend analysis and predictive spectrum scheduling. The buffer depth can be set to 5 historical cycles, and the sliding average method is combined to improve the stability of the allocation decision.

[0029] In addition, the baseband processing module supports the abnormal monitoring function. When the signal strength fluctuates violently or the signal-to-noise ratio of a certain frequency band is lower than the set value (such as -15dB) for a long time, the module can send a marking signal to the fault monitoring module to assist the latter in judging whether the communication abnormality is caused by channel degradation.

[0030] As an extended form, the resource allocation weight result can also be input to the bias adjustment circuit of the power amplification module to automatically adjust the bias voltage of the gain path according to the frequency band weight, ensuring the best match between the amplifier output linearity and energy consumption.

[0031] The power amplification module adjusts the output power parameters through a dynamic bias voltage adjustment circuit based on the spectrum allocation result; Specifically, in the ultra-small three-network communication base station of the present invention, the power amplification module is one of the core functional units, which directly determines the signal transmission ability and energy efficiency of the base station. This module adjusts the working state of the power amplifier according to the spectrum allocation result generated by the baseband processing module and the required power output parameters to ensure high-quality signal transmission and efficient energy utilization. Therefore, the design and adjustment strategy of the power amplification module play a crucial role in the coverage range, stability, and energy consumption control of the base station.

[0032] In this embodiment, the power amplification module controls the output power of the power amplifier through a dynamic bias voltage adjustment circuit. Specifically, in different operating frequency bands, the operating state of the power amplifier will be different. For the low-frequency band (such as 700 MHz), this module uses a Class AB power amplifier circuit, which can maintain low intermodulation distortion while providing high gain, ensuring linear transmission of signals; for the high-frequency band (such as 3.5 GHz), a GaN HEMT (gallium nitride high electron mobility transistor) power amplifier circuit is used, which has higher frequency response and efficiency and is suitable for processing high-frequency signals.

[0033] Generally, the adjustment range of the bias voltage of the power amplification module is from 0 V to 3.6 V, and it can adjust the output power under different frequency bands and power requirements. In this embodiment, according to the proportion of the frequency band in the spectrum allocation result, the bias voltage of the power amplifier is dynamically adjusted to optimize the power output. Specifically, the adjustment of the bias voltage can be expressed by the following formula: ; Where: represents the bias voltage of the power amplifier, with the unit of volt (V); is the basic bias voltage, usually taking a value of 2.5 V; is the adjustment coefficient, which depends on the type and operating frequency band of the power amplifier, and the specific value is 0.3 V; is the resource allocation weight of the th frequency band calculated by the baseband processing module, with the unit of dimensionless.

[0034] In some embodiments, the bias voltage adjustment circuit also includes an adaptive gain control function, which adjusts the gain in real time according to the quality of the output signal. During the gain adjustment process, the gain coefficient of the power amplifier will be adaptively adjusted according to the ratio of the output power to the input signal (i.e., the gain margin). Through this mechanism, it can be ensured that under different load conditions, the power amplifier always operates in the best linear range, thus avoiding excessive nonlinear distortion.

[0035] Specifically, the gain adjustment of the power amplification module follows the following formula: ; Where: is the gain of the power amplifier, with the unit of dimensionless; is the output power of the power amplifier, with the unit of watt (W); is the input power of the power amplifier, with the unit of watt (W).

[0036] As an option, the gain adjustment coefficient can be related to the frequency band weight Combined, it is dynamically adjusted according to the spectrum allocation result output by the baseband processing module. For example, when the signal in the low frequency band (such as 700 MHz) is strong, the gain coefficient can be appropriately reduced to avoid non-linear distortion caused by over-strong signals; while when the signal in the high frequency band (such as 3.5 GHz) is weak, the gain coefficient will be correspondingly increased to improve the transmission quality of the signal.

[0037] In a possible implementation manner, the power amplification module also has a temperature feedback regulation function. Especially under high power output conditions, the temperature of the power amplifier may rise rapidly, thus affecting its stability and efficiency. Therefore, the power amplification module is equipped with a temperature monitoring circuit. When the junction temperature of the power amplifier exceeds the set threshold (such as 150 °C), the regulation circuit will reduce the bias voltage or gain to avoid overheating and damage of the power amplifier.

[0038] In this embodiment, the dynamic adjustment strategy of the power amplification module can not only optimize the power output according to the real-time spectrum allocation result, but also has an intelligent temperature control function to ensure the stable operation of the device in different working environments. Through this series of designs, the power amplification module can efficiently provide the required signal strength, while optimizing the energy efficiency and reducing the heat loss of the system.

[0039] The antenna module adjusts the telescopic amount of the antenna arm and the antenna working mode based on the spectrum allocation result and the power output parameters through a stepper motor drive mechanism; Specifically, in the ultra-small three-network communication base station of the present invention, the role of the antenna module is to accurately adjust the working mode and beam pointing of the antenna according to the spectrum allocation result generated by the baseband processing module and the power output parameters. This module can dynamically adjust the telescopic amount and angle of the antenna according to different working requirements to meet the signal transmission requirements of different frequency bands. The design of the antenna module ensures the high-efficiency coverage ability of the base station in multiple frequency bands and multiple directions, and at the same time accurately controls the telescopic of the antenna arm through the stepper motor drive mechanism to optimize the radiation pattern of the signal.

[0040] In this embodiment, the antenna module includes multiple antenna arms, and each antenna arm can be independently adjusted in length. The telescopic amount of the antenna arm is directly affected by the spectrum allocation result output by the baseband processing module. The baseband processing module generates an antenna control signal according to the allocation priority of the spectrum resources. The signal contains parameters such as the working weight, antenna priority, telescopic amount, and working mode of each frequency band. Generally, the antenna module adjusts the telescopic amount of the antenna arm based on these control signals to ensure the best signal radiation direction and coverage range.

[0041] Specifically, the antenna module adjusts the length of the antenna arm through a stepper motor drive mechanism. The adjustment amount of the antenna arm It is determined according to the frequency band weight in the spectrum allocation result. The calculation formula for the antenna arm length is as follows: ; Where: is the adjusted target length of the antenna arm, with the unit of cm; is the reference length of the antenna arm, and its value range is from 10 cm to 15 cm; is the maximum adjustable length, which is set to 3 cm; is the adjustment sensitivity coefficient, and its value in this embodiment is 0.5; is the maximum weight value among all current frequency bands, and its range is from 0 to 1; is the preset weight threshold, which is 0.6 in this embodiment.

[0042] In some embodiments, the antenna module further adjusts its working mode according to the power output parameters. Specifically, when the power output is low, the antenna module can optimize the signal coverage by adjusting the radiation mode of the antenna (such as omnidirectional radiation mode or directional beamforming mode). For example, when the signal in the low frequency band (such as 700 MHz) is strong, the antenna can select the omnidirectional radiation mode to expand the coverage range; while when the signal in the high frequency band (such as 3.5 GHz) is weak, the antenna can select the directional beamforming mode to concentrate the energy and improve the signal strength.

[0043] As an option, the antenna module further includes an impedance matching network, which is used to compensate in real time for the change in the standing wave ratio caused by the telescopic movement of the antenna arm. Specifically, the adjustment process of the antenna may cause a slight change in the antenna impedance, which in turn affects the radiation efficiency. The impedance matching network dynamically corrects the impedance by adjusting the current path and capacitance value, so that the antenna always works in the best impedance matching state, thereby ensuring the maximum radiation efficiency of the signal.

[0044] In addition, the antenna module also has the ability of adaptive beamforming. When the spectrum allocation result output by the baseband processing module shows that a certain frequency band requires high signal quality, the antenna module will adjust the direction and shape of the beam according to the weight of that frequency band. This process controls the precise position of the antenna arm through a stepper motor to ensure that the signal is concentrated in the specified direction or area.

[0045] In a possible implementation manner, the beam control ability of the antenna module combines the telescopic adjustment of the antenna arm and the phase control technology. Phase control can further precisely adjust the radiation mode of the antenna, improve the accuracy of beamforming, and optimize the service quality and coverage range of the base station.

[0046] The power management module generates a composite power supply strategy through a hybrid power supply controller according to the spectrum allocation result, the power output parameters, and the antenna working mode; Specifically, in the ultra-small three-network communication base station of the present invention, the power management module is one of the core components of the system. Its main task is to generate a composite power supply strategy and implement dynamic energy scheduling based on the spectrum allocation result, power output parameter provided by the baseband processing module, and the working mode of the antenna module. The power management module not only needs to ensure the stable operation of the base station, but also optimize the energy usage efficiency to ensure that the system can intelligently and balancedly allocate energy under different loads. The design of this module takes into account the collaborative work of multiple energy sources (such as solar energy, thermoelectricity, traditional power sources, etc.) to achieve the goal of low energy consumption and high-efficiency energy utilization.

[0047] In this embodiment, the power management module includes a hybrid power supply controller, which is responsible for receiving the working state information from the baseband processing module, power amplification module, and antenna module, and generating a dynamic composite power supply strategy in combination with the current load demand and environmental conditions (such as the light intensity of the solar panel, the temperature difference of the thermoelectric module, etc.). Specifically, the power management module will adjust the usage ratio of each energy source according to the available situation of different energy sources to achieve the optimal allocation of energy.

[0048] Generally, the working process of the power management module is as follows: First, the system determines the total power demand required currently according to the spectrum allocation result provided by the baseband processing module. Then, the system determines the power output of each energy source through the hybrid power supply controller and dynamically adjusts the energy allocation strategy according to the environmental conditions (such as the output power of the solar panel, the state of charge (SOC) of the lithium battery). Specifically, the system calculates the power supply ratio of each energy source according to the following formula: ; Where: is the power supply weight of the th energy source, with the unit of dimensionless; is the available power of the th energy source, with the unit of watt (W); is the power margin adjustment factor, usually with a value of 5W; respectively represent three energy sources: solar energy, thermoelectricity, and lithium battery.

[0049] Specifically, if the system detects that the lighting condition of the solar panel is good, the power management module will preferentially increase the power supply ratio of solar energy and reduce the use of the battery; while when the lighting is insufficient, it will increase the power supply ratio of the battery and appropriately adjust the output of the thermoelectric module as needed. As an option, if the system detects the night mode or the situation of completely insufficient lighting, the power management module will force the thermoelectric module to be enabled to generate electricity through the waste heat generated by the equipment to ensure the normal operation of the base station.

[0050] In addition, the power management module also has an adaptive load regulation function. When the system load changes significantly, the power management module dynamically adjusts the proportion of each energy source according to the change in load demand. For example, at high load, the system increases the proportion of energy supply from the thermoelectric module and the lithium battery to meet the short-term high-power demand; while at low load, it can preferentially rely on the cooperation of solar energy and the thermoelectric module to reduce energy consumption.

[0051] In one possible implementation, the power management module also includes a real-time monitoring function for each energy source. For example, the system continuously monitors the MPPT (Maximum Power Point Tracking) output voltage and current of the solar panel to ensure that the power output of the solar module is always at the maximum power point. Specifically, the system calculates the maximum power output of the solar panel through the following formula: ; Where: is the output power of the solar panel, in watts (W); is the output voltage of the solar panel, in volts (V); is the output current of the solar panel, in amperes (A).

[0052] In the case of high light intensity, the system will preferentially use the power output to supply energy to the base station and reduce the dependence on other energy sources. When the light is insufficient, the system will automatically adjust the battery power supply through the hybrid power supply controller and start the thermoelectric module in a timely manner to supplement the power.

[0053] In addition, the power management module also has a load priority allocation mechanism. When the system load is large, the power management module will give priority to supplying power to key modules (such as the baseband processing module, power amplification module, and antenna module), and then to auxiliary modules (such as the fault monitoring module, thermal management module). This priority allocation ensures the efficient operation of the system and prevents key modules from malfunctioning due to power shortage.

[0054] The thermal management module adjusts the working state of the radiator through a variable-speed cooling fan and a diamond film heat dissipation layer based on the power output parameters; Specifically, in the ultra-small triple-network base station of the present invention, the design of the thermal management module is crucial. It is mainly responsible for adjusting the heat distribution in the system according to the power output parameters to avoid overheating of the equipment. Since the power amplification module and other key modules generate a large amount of heat during high-power transmission, an effective thermal management system is required to ensure the stable operation of the base station under different load conditions. The thermal management module works in cooperation with a variable-speed cooling fan and a diamond film heat dissipation layer to precisely adjust the heat dissipation performance of the system to maintain the temperature of the equipment within the safe operating range and ensure the long-term reliability of the system.

[0055] In this embodiment, the thermal management module includes a variable-speed cooling fan and a diamond film heat dissipation layer. The cooling fan can dynamically adjust its speed according to the current power output and device temperature to achieve rapid heat dissipation. Specifically, the speed control of the cooling fan is closely related to the power output parameters. Generally, the higher the power output, the more heat is generated by the device, and the speed of the cooling fan will increase accordingly. The speed adjustment of the cooling fan is based on the following formula: ; Where: is the speed of the cooling fan, in revolutions per minute (RPM); is the base speed, usually taken as 500 RPM; is the adjustment coefficient, with a value of 10 RPM / W; is the output power of the power amplification module, in watts (W).

[0056] By adjusting the speed of the cooling fan, the system can dynamically adjust the heat dissipation capacity according to the change of the actual power output to ensure that the temperature of the device is controlled within a suitable range. Specifically, when the power output increases, the speed of the cooling fan will increase accordingly. The increased speed helps to increase the air flow of the fan, thereby enhancing the heat dissipation effect and preventing the device from overheating.

[0057] As an option, the thermal management module also integrates a diamond film heat dissipation layer. The diamond film has an extremely high thermal conductivity (about 2000 W / m·K), which can quickly conduct heat from key components (such as the power amplification module) to the surface of the radiator. The diamond film heat dissipation layer improves the efficiency of heat dissipation by increasing the heat conduction area. Especially under high-power transmission conditions, it can effectively reduce the heat accumulation of the device.

[0058] Specifically, the working principle of the diamond film heat dissipation layer is based on its ultra-high thermal conductivity. Heat is quickly conducted to the surface of the radiator through the diamond film and then dissipated to the environment through the cooling fan. To ensure the efficient operation of the heat dissipation layer, silver sintering materials are usually used between the diamond film and the radiator substrate to reduce the thermal resistance and enhance the heat flow transfer. The heat flow transfer calculation of this process can be expressed by the following formula: ; Where: is the heat flow transfer rate, in watts (W); is the temperature of the heat source, in degrees Celsius (°C); is the temperature of the cooling surface, in degrees Celsius (°C); is the thermal resistance, in K / W.

[0059] In this formula, the thermal resistance of the diamond film It is smaller, so heat can be quickly conducted to the radiator, ensuring that the temperature of the device is maintained within a safe range.

[0060] Specifically, at higher power outputs, the diamond film can significantly enhance the heat dissipation effect. By working together with the cooling fan, the diamond film can effectively control the operating temperature of the device below 150°C, avoiding power loss or device damage caused by overheating.

[0061] As an extended form, the thermal management module can also monitor the system temperature in real time through a temperature sensor and perform feedback regulation on the operating states of the cooling fan and the diamond film heat dissipation layer. When the system temperature exceeds a certain set threshold (e.g., 85°C), the module can automatically trigger the high-speed rotation mode of the cooling fan and enable more thermoelectric conduction materials to quickly reduce the temperature.

[0062] The fault monitoring module generates abnormal handling instructions through the multi-parameter joint decision logic based on the antenna operating mode, the radiator operating state, and the spectrum allocation result.

[0063] Specifically, in the ultra-small triple-network communication base station of the present invention, the fault monitoring module is mainly responsible for detecting the operating states of various modules of the system and providing handling instructions when abnormalities are found. By real-time monitoring and analysis of multiple parameters such as the antenna operating mode, the radiator operating state, and the spectrum allocation result, this module can timely identify potential fault risks and issue alarms or execute automatic adjustment measures. The operation of the fault monitoring module ensures the high availability of the base station system and can quickly resume normal operation when a fault occurs, thereby improving the reliability and stability of the base station.

[0064] In this embodiment, the fault monitoring module determines whether there is a fault in the system through the multi-parameter joint decision logic. Specifically, the module will real-time monitor the operating state of the antenna, including parameters such as the telescopic amount and beam direction of the antenna, combine the operating state of the radiator (such as fan speed, temperature, etc.), and the spectrum allocation result output by the baseband processing module. Through comprehensive analysis of these key parameters, the fault monitoring module can determine whether the system is in a normal operating state and generate corresponding abnormal handling instructions in a timely manner when an abnormality occurs.

[0065] Specifically, the monitoring of the antenna operating state includes real-time detection of the telescopic amount of the antenna arm and comparison with the spectrum allocation result of the baseband processing module. If there is a large deviation between the antenna telescopic amount and the spectrum allocation result (for example, the telescopic amount exceeds the set range, resulting in an offset in the radiation direction or beam of the antenna), the fault monitoring module will consider that the antenna has a fault and then trigger the fault handling procedure. The determination of the antenna fault is carried out according to the following formula: ; Where: is the difference between the current telescopic amount of the antenna arm and the expected telescopic amount, in centimeters (cm); is the telescopic amount of the current antenna arm, in centimeters (cm); is the expected telescopic amount of the antenna calculated based on the spectrum allocation result and the resource weight, in centimeters (cm).

[0066] When exceeds the set threshold (for example, the threshold is 0.5 cm), the fault monitoring module will consider that the antenna has a fault and trigger the corresponding exception handling instruction through logical judgment.

[0067] As an option, the fault monitoring module will also combine the working state of the radiator to determine whether the system has a fault. When the power amplifier module works at high power, the radiator needs to dissipate heat efficiently. If the radiator temperature is too high or the fan speed is too low, it may cause the system to overheat, which in turn affects the stability of the base station. Specifically, the monitoring of the radiator temperature and the control of the fan speed can be determined by the following formula: ; Where: is the temperature difference required for the current fan speed, in degrees Celsius (°C); is the current temperature of the radiator, in degrees Celsius (°C); is the set safe temperature threshold (for example, 80 °C).

[0068] When the radiator temperature exceeds the set threshold, the fault monitoring module will determine that the system may have an overheating fault and trigger an emergency cooling mechanism, such as increasing the fan speed or starting a standby cooling system.

[0069] In another possible implementation, the fault monitoring module will also analyze the spectrum allocation result output by the baseband processing module. When the allocation of spectrum resources is abnormal or the signal quality of some frequency bands is too low, it may cause unstable signal transmission, which in turn affects the normal operation of the base station. For example, when the baseband processing module detects that the signal strength of a certain frequency band is lower than the set value for a long time, the fault monitoring module will judge that there is a fault in this frequency band through joint decision logic. The determination of spectrum abnormality can be expressed by the following formula: ; Where: is the fault determination index, in dBm; is the actual measured signal strength of the th frequency band, in dBm; is the preset signal strength threshold of the is the number of frequency bands.

[0070] When exceeds a preset fault threshold, the fault monitoring module will trigger relevant fault instructions and notify other modules through the system to perform fault recovery.

[0071] In addition, the fault monitoring module can also work in coordination with the power management module. When the power management module detects insufficient energy supply or the battery power is lower than the set threshold, the fault monitoring module will determine it as a power failure and issue an emergency adjustment instruction according to a predetermined strategy, such as switching to a backup power supply or reducing the power output.

[0072] The embodiments of this specific implementation manner are all preferred embodiments of this application, and do not limit the protection scope of this application accordingly. The same components are denoted by the same reference numerals. Therefore, all equivalent changes made according to the structure, shape, and principle of this application should be covered within the protection scope of this application.

Claims

1. A super-small three-network communication base station, characterized in that, Comprising: A baseband processing module that real-time collects multi-band signal strengths through a multi-channel radio frequency receiving unit and generates a spectrum allocation result through a dynamic resource allocation algorithm; A power amplification module that adjusts output power parameters through a dynamic bias voltage adjustment circuit based on the spectrum allocation result; An antenna module that adjusts the telescopic amount of the antenna arm and the antenna operating mode through a stepper motor drive mechanism based on the spectrum allocation result and power output parameters; A power management module that generates a composite power supply strategy through a hybrid power supply controller according to the spectrum allocation result, power output parameters, and antenna operating mode; A thermal management module that adjusts the operating state of the radiator through a variable-speed cooling fan and a diamond film heat dissipation layer based on the power output parameters; A fault monitoring module that generates an exception handling instruction through a multi-parameter joint decision logic based on the antenna operating mode, radiator operating state, and spectrum allocation result.

2. The ultra-small triple-network communication base station according to claim 1, wherein The baseband processing module includes: Synchronously collecting the signal strengths of the 700 MHz, 2.6 GHz, and 3.5 GHz frequency bands through a multi-channel radio frequency receiving unit; Calculating the resource allocation weights for each frequency band based on the signal strength matrix, and introducing an adjustment factor during weight calculation to prevent the denominator from being zero; Generating an antenna control instruction including frequency band priority and bandwidth ratio according to the resource allocation weights.

3. The ultra-small triple-network communication base station according to claim 2, characterized in that, The calculation of the resource allocation weights satisfies: ； Wherein: is the current signal strength of the th frequency band; is the adjustment factor; represents the resource allocation weight of the th frequency band; is the total number of supported frequency bands.

4. The ultra-small triple-network communication base station according to claim 1, characterized in that, The power amplification module includes: Switching to a Class AB power amplifier circuit in the low-frequency mode and a GaN HEMT power amplifier circuit in the high-frequency mode; Dynamically adjusting the bias voltage according to the frequency band ratio in the spectrum allocation result, and the voltage adjustment step does not exceed 0.5 V; Controlling the junction temperature of the power amplifier transistor not to exceed 150 °C through a temperature feedback closed loop.

5. The ultra-small triple-network communication base station according to claim 1, characterized in that, The antenna module includes: Analyzing the telescopic amount parameter in the antenna control instruction and driving the stepper motor to adjust the antenna arm length with an accuracy of 0.1 mm; Switching to the omnidirectional radiation mode or the directional beamforming mode according to the peak power value in the power output parameters; Compensating the standing wave ratio change caused by the telescoping of the antenna arm in real time through an impedance matching network.

6. The ultra-small triple-network communication base station according to claim 5, characterized in that, The adjustment of the telescopic amount of the antenna arm satisfies: ； Wherein: is the adjusted target length of the antenna arm; is the reference length of the antenna arm; is the maximum adjustable length; is the adjustment sensitivity coefficient; is the maximum weight value among all current frequency bands; is the preset weight threshold.

7. The ultra-small triple-network communication base station according to claim 1, characterized in that, The power management module includes: Monitoring the MPPT output of the solar panel, the thermoelectric voltage of the thermoelectric module, and the SOC state of the lithium battery; Calculating the power supply proportion coefficients of solar energy, thermoelectricity, and battery according to the current total load power; Forcing the thermoelectric module to absorb the waste heat of the device itself to generate electricity in the night mode.

8. The ultra-small triple-network communication base station according to claim 7, characterized in that, The calculation of the power supply proportion coefficients satisfies: ； Wherein: is the energy supply weight of the th type of energy; is the available power of the th type of energy; is the power margin adjustment factor; respectively represent three types of energy: solar energy, thermoelectricity, and lithium battery.

9. The ultra-small triple-network communication base station according to claim 1, characterized in that, The thermal management module includes: Collecting the junction temperature of the power amplifier transistor and the surface temperature gradient of the radiator through an embedded thermistor array; Linearly increasing the rotation speed of the cooling fan to the maximum rated value when the junction temperature exceeds 120 °C; Setting a silver sintered interface material between the diamond film heat dissipation layer and the radiator substrate to reduce the interface thermal resistance.

10. The ultra-small triple-network communication base station according to claim 1, characterized in that, The fault monitoring module includes: Performing a sliding window variance detection on the standing wave ratio parameter, and determining an antenna fault when the variance exceeds the threshold; Triggering a power back-off protection mechanism when the rising rate of the junction temperature exceeds 5 °C / s; Forcibly switching to a preset emergency frequency band configuration when the spectrum allocation result is abnormal.

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