3156 results about "Power management" patented technology

The invention discloses a single-chip microcomputer hierarchical dormancy control method based on dynamic power consumption prediction, and relates to the technical field of single-chip microcomputer low power consumption control, and the method specifically comprises the steps: building a mapping relation between a load current and a clock frequency; setting a dynamic dormancy threshold value; constructing a dynamic power consumption prediction model; a dormancy strategy is designed, module-level power consumption management and single-chip microcomputer function-based power consumption management are adopted, the callable frequency or the maximum operation duration of each function is distributed according to task priorities and battery residual energy consumption, and single-chip microcomputer peripherals are triggered through events and are independently awakened; and executing the sleep strategy, automatically awakening the single chip microcomputer according to a preset awakening condition, and realizing abnormity positioning and processing based on threshold comparison and power consumption monitoring in the process of executing the sleep strategy. According to the invention, module-level power consumption management and single-chip microcomputer function-based power consumption management are realized, the limitation of traditional global dormancy is broken, the need of overall reset during wakeup is avoided, and the response speed is improved while the energy consumption is reduced.

Described are concepts, systems, system architectures, circuits, methods, and techniques directed toward power management and control. In particular, described are concepts, systems, system architectures, circuits, methods, and techniques for implementing power converters that may not have a right-hand pole zero in their linearized, averaged control-to-output transfer function, but that may still have buck and boost functionality.

The invention belongs to the technical field of power supply management, and particularly relates to a high-precision DCDC power supply voltage stabilization calibration system and method, which comprises a DCDC power conversion module, a traditional feedback control module, a high-frequency ripple sampling and digitization module, a dynamic load prediction module, a feedforward compensation generation module and a calibration management module, through high-frequency ripple sampling and digital output of ripple signals, real-time spectrum analysis is carried out to predict load transient changes, prospective compensation signals are generated, and traditional feedback control is combined to finely adjust PWM signals of the DCDC module. According to the scheme, feedback lag is overcome, transient overshoot / undershoot of voltage is remarkably restrained, the dynamic voltage stabilization error is controlled within + / -0.3%, and high-precision voltage stabilization under both static and dynamic working conditions is achieved.

The invention discloses a military battery operation adjusting system based on extreme environment identification and detection, and relates to the technical field of military power management, the system comprises an environment sensing module, an environment identification and decision module, a thermal management execution module and a battery management module; the environment sensing module is used for collecting environment data such as temperature, humidity, wind speed, dust concentration and solar radiation intensity in real time; the environment recognition and decision module adopts a BP neural network and fuzzy control logic to recognize and classify working condition states, and outputs a control strategy in combination with a PID adjustment algorithm; the heat management execution module realizes heating, heat dissipation and sand prevention operation according to the instruction; and the battery management module dynamically adjusts a charging and discharging strategy according to the identification state. Self-adaptive adjustment of battery temperature and energy management can be realized under extreme working conditions, the system stability is improved, the service life is prolonged, and the system is suitable for battery management in severe environments such as desert, high temperature, low temperature, strong wind and sand, high radiation and the like.

The invention relates to the technical field of computer hardware and network communication, in particular to a high-speed I / O (input / output) virtualization server based on an FPGA (field programmable gate array) and a remote forwarding method.The high-speed I / O virtualization server comprises an FPGA chip, a network processing unit, an I / O protocol processing unit, a protocol conversion and scheduling unit, a time sequence and transaction management unit and a data buffering and flow control unit are integrated in the FPGA chip; the optical fiber Ethernet interface module comprises a physical layer interface and an MAC layer processing and network configuration interface; the local I / O interface module comprises a USB interface circuit, a serial port interface circuit, a PCIe interface circuit and an interface expansion connector; the power supply and monitoring module comprises a multi-path power supply management system, a state monitoring and diagnosis system and an LED indication system; according to the self-adaptive Baud rate detection circuit, the Baud rate can be accurately locked under the condition that data with less than two characters is received, the number of data bits, the type of a check bit and the length of a stop bit are automatically identified, and compared with a traditional microcontroller scheme, the self-adaptive Baud rate detection circuit has higher precision and higher detection speed.

The invention discloses a heterogeneous intelligent computing power optimization management scheduling system for accelerating a large model reasoning task, and relates to the technical field of computing power optimization management scheduling. The video memory fragmentation problem in a long sequence scene is converted into a controllable block migration task, and the performance bottleneck of a traditional video memory exchange mechanism is broken through; based on an operator-level scheduling strategy of a hardware capability fingerprint database, position coding and other compute-intensive tasks are accurately matched with vector instruction set hardware, and resource mismatch loss caused by black-box scheduling is eliminated; an expert selection process is reconstructed by an integer routing and counting sorting algorithm, near-lossless reasoning is realized at a limited node of an instruction set, and the potential value of an old computing power pool is activated.

The invention relates to the technical field of power management, in particular to a multi-source data fusion photovoltaic power scheduling control system, which comprises a sensing extraction module, a disturbance identification module, an offset trend analysis module, a path switching module and a frequency band suppression module. According to the method, a disturbance pre-judgment interval is identified by constructing a time derivative sequence and combining illumination and wind speed trend change in a continuous period, a disturbance time period is accurately discriminated, the disturbance interval is confirmed and disturbance characteristics are extracted through conjoint analysis of photovoltaic and energy storage current change trend and grid-connected point fluctuation amplitude, and the disturbance accuracy is improved. An offset trend curve is formed by calculating photovoltaic and energy storage current change differences, the energy supply offset degree is judged in real time to trigger scheduling conditions, dynamic suppression adjustment is performed on regulation and control signal parameters according to spectrum energy distribution, the accuracy and timeliness of disturbance recognition, energy supply offset judgment and frequency band regulation and control are improved from multiple levels, and the energy storage and energy supply efficiency is improved. And more stable and efficient optical storage combined scheduling control is realized.

The invention discloses an intelligent commutation type three-phase imbalance dynamic treatment method for a power distribution network, relates to the technical field of power distribution network treatment, and aims to solve the problem of poor treatment effect of three-phase imbalance. By using the data mining and analysis technology, not only can the cost minimization path be calculated according to the current state, but also the future change can be pre-judged in combination with the load dynamic trend, so that the formulated switching strategy is more prospective and accurate, the generated high-dimensional mapping vector fuses the node characteristics and the neighbor node characteristics, and the switching efficiency is improved. By combining the use of a nonlinear activation function, the model can adaptively learn a load change rule, sensor equipment integrates various sensors and chips, has the functions of environment monitoring, power management and the like, and is matched with structural components to ensure the reliable operation of the device, reduce the operation and maintenance cost and difficulty and prolong the service life of the equipment.

The invention provides a truck-unmanned aerial vehicle cooperative dynamic scheduling method and system in emergency logistics, and relates to the technical field of unmanned aerial vehicle intelligent scheduling. Constructing a truck-unmanned aerial vehicle cooperative distribution network, wherein each truck is equipped with a cooperative unit comprising a large unmanned aerial vehicle and a small unmanned aerial vehicle; the network comprises warehouses, hub points and demand points; establishing a mixed integer programming model by taking minimization of the total operation cost as a target and taking electric quantity management, service distribution, a time window and collaborative feasibility as constraints; and solving the model by adopting a randomized greedy algorithm, and synchronously deciding a truck path and an unmanned aerial vehicle task in single iteration to obtain a truck path scheme, an unmanned aerial vehicle service distribution scheme and a dynamic electric quantity scheduling scheme. Therefore, the cost optimization and dynamic coordination of emergency logistics scheduling are realized, and the efficiency and feasibility of emergency distribution are effectively improved.

The invention discloses an efficient anti-freezing and anti-blocking integrated induction heating system and method for an oil and gas pipeline, belongs to the technical field of anti-freezing and anti-blocking of oil and gas pipelines, and aims at solving the problems that in the prior art, heating efficiency is low, energy consumption is huge, heating uniformity and adaptability are poor, the system integration degree is low, and the intelligent degree is insufficient. Comprising the steps of S1, induction heating unit arrangement and power management; s2, real-time temperature monitoring and data acquisition; s3, intelligent data analysis and precise heat management; the electromagnetic induction heating principle is adopted, the induction coil directly heats the pipeline and the internal medium, heat conduction loss and heat energy radiation loss of heating modes such as traditional resistance wires and heat tracing bands are reduced, the intelligent power management module can optimize power supply and power adjustment, and the self-adaptive environment and load adjustment strategy is combined, so that the self-adaptive load adjustment is achieved. The heating power can be automatically adjusted according to the environment temperature and the pipeline load, the anti-freezing and anti-blocking effect is guaranteed, meanwhile, energy consumption is remarkably reduced, and the burden of an electric power supply system is relieved.

The invention discloses a dormancy and awakening system and method of an enterprise-level solid state disk, and belongs to the technical field of power consumption management of the enterprise-level solid state disk. According to the system, a nonvolatile cache unit, an independent hardware state machine and an ultra-low power consumption wake-up detection circuit are integrated in a main controller. When entering the dormancy state, key data such as an FTL mapping table are stored in a nonvolatile cache, then the power management module cuts off power supply to the NAND flash memory and the main control core, and only the operation of the minimum circuit is maintained, so that the dormancy power consumption is reduced to be below 100mW; and during wakeup, the detection circuit identifies a physical layer signal to trigger rapid power-on, and the hardware state machine directly recovers the system state from the cache and bypasses the software initialization process, so that wakeup is completed and the NAND access capability is reconstructed within 1ms, and the industrial problem that ultra-low power consumption and rapid wakeup cannot be considered at the same time is effectively solved.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention provides a photovoltaic power station power optimization distribution method based on ultra-short-term prediction, and relates to the technical field of photovoltaic power station power management, and the method comprises the steps: 1, collecting the operation data and environment monitoring data of a photovoltaic array unit of a photovoltaic power station, and obtaining a unit power abnormality coefficient and a unit stability coefficient; 2, constructing a unit association network of the photovoltaic power station, monitoring and calculating the power interaction degree and the synchronous fluctuation rate between every two adjacent units in the association network, and obtaining a power association matrix and a fluctuation synchronization matrix; 3, according to the short-term power change rate, output compensation proportion prediction and capacity distribution adjustment are carried out, and an output compensation proportion and an adjustable capacity distribution scheme are obtained; 4, based on the power incidence matrix and the fluctuation synchronization matrix, obtaining a cooperative power anomaly coefficient and a system stability coefficient; and 5, generating a power optimization instruction set based on the unit power anomaly coefficient and the unit stability coefficient. And the output stability and the overall efficiency of the photovoltaic power station are improved.

The invention belongs to the technical field of crossing of artificial intelligence and computer system architecture, particularly relates to a computing power center equipment power supply intelligent system of a knowledge graph, and aims to solve the problem of low energy efficiency caused by extensive power supply management, unbalanced energy consumption and lagged load response. The system comprises a task analysis module, a dynamic load prediction module, a multi-source power supply scheduling module, an equipment-level power supply control module and a feedback optimization module, through load prediction and multi-source power supply cooperative scheduling driven by task semantics, voltage and current dynamic adjustment and sleep wake-up control are achieved, and a strategy is optimized online based on operation feedback. The scheme improves energy efficiency, equipment life and system stability.

The embodiment of the invention provides an intelligent electric precipitation system. The intelligent electric precipitation system comprises a power management module, a working condition sensing module, a dynamic optimization module and a cooperative control module, the power supply management module comprises a high-frequency power supply unit and a power-frequency power supply unit, and the high-frequency power supply unit adopts a full-bridge series-parallel hybrid resonance circuit; the working condition sensing module is configured with a distributed sensor network; the dynamic optimization module establishes a multi-objective optimization model; the cooperative control module realizes a four-level control architecture; the system realizes optimal balance of dust removal efficiency and energy consumption by collecting working condition parameters in real time and dynamically adjusting working parameters of a power supply. According to the intelligent electric dust removal system, through a hybrid power supply framework, a multi-sensor network and four-stage cooperative control, the dust removal efficiency is improved, and the equipment reliability and the intelligent level are improved.

The invention relates to the technical field of power management, in particular to a flywheel energy storage and storage battery hybrid UPS system for a data center, which comprises a load identification module, a disturbance correction module, a scheduling screening module, a time reconstruction module and an instruction updating module. According to the method, the current rotating speed and the output current of the flywheel are obtained, slope change trend analysis is executed, the impact characteristic generated when the load is started can be recognized in advance, and the transient instability risk caused by large-current impact is avoided. And carrying out cross analysis on the original access time sequence of the load and the power disturbance response of the power supply side, so that the load access behavior with concentrated original time sequence and violent current fluctuation is orderly expanded in the time domain. The power supply parameters of the air conditioner group are extracted by the flywheel in the steady-state operation period to serve as the reference, interval adaptation judgment is conducted on the power supply parameters and the operation characteristics of the operation and maintenance equipment to be connected, the equipment with high stability is scheduled preferentially, and the balance and controllability of overall scheduling response are improved.

The invention provides a demand side response power consumption management method based on a power gap architecture, and relates to the technical field of information, the power gap architecture especially relates to a distributed intelligent communication framework oriented to a novel power system, and multi-source power consumption and environment data are collected through power gap edge computing nodes of a transformer substation; through cleaning, feature extraction and clustering, classification results of three types of power consumption subjects of industry, business and residents are obtained, and the nodes carry computers and auxiliary equipment repair adaptation modules to guarantee operation; a classification result is encrypted and transmitted to a trusted execution environment, a power consumption behavior model is constructed by fusing multiple factors, a dynamic electricity price strategy and a response rule are generated and pushed to a terminal, and a regional response strategy is optimized by combining a computer and an auxiliary equipment repair intelligent operation and maintenance mechanism; a final management instruction is generated through load balancing judgment, optimized data are obtained after execution, and the model and the strategy are dynamically updated. Accurate regulation and control of power utilization are realized, the power grid load is balanced, and the power utilization efficiency is improved.

The invention discloses a multi-modal stimulation regulation and control system combining interactive feedback and AI self-adaption. The system comprises an AI main control and synchronization module which generates a unified rhythm time sequence; the acoustic stimulation output module outputs a rhythm acoustic signal; the visual LED stimulation module outputs rhythm visual signals; the game / animation interaction module provides an interaction task synchronized with the acousto-optic rhythm; the sensing acquisition and feedback module is used for acquiring multi-modal physiological and behavior data in real time; the amplifier output module drives the execution module or equipment; the power management module realizes voltage stabilization and low power consumption switching; the behavior habit forming mechanism module binds a stimulation signal and an interaction task; and the human-assisted management interface module supports remote parameter setting and real-time monitoring. The interactive feedback and AI self-adaptive multi-mode stimulation regulation and control system is combined, microsecond-level synchronization and multi-source closed-loop self-adaption of sound and light and animation can be achieved, a guidance scheme for personalized customization of treatment and behavioral habit cultivation can be achieved, and the efficiency, accuracy and effectiveness of system regulation and control are remarkably improved.

The invention relates to the technical field of energy distribution, and discloses an energy distribution method and device of a hybrid power distribution system and the hybrid power distribution system.The method comprises the steps that the power-on ignition state of a vehicle, the charge states of a 48V storage battery and a 12V storage battery and the power load of a load end are obtained; determining the current hybrid power distribution management strategy as a quiescent current management strategy, a power management strategy or a load level-to-level management strategy according to the power-on ignition state of the vehicle; and based on the current hybrid power distribution management strategy, adjusting the power supply modes of the DCDC, the 48V storage battery and the 12V storage battery to the load end according to the charge state and the power load, and performing hierarchical dynamic management on the load end. According to the invention, a comprehensive power supply strategy of hierarchical energy distribution management, load hierarchical dynamic adjustment and static current management can be established, the power supply mode is accurately and flexibly adjusted, the load is flexibly controlled, and stable power supply is provided for the load, so that the power consumption of the whole vehicle is finely adjusted and reduced, and the optimal utilization of the energy of the whole vehicle is realized.

The invention provides a processor chip with adjustable power consumption, which is integrated with a plurality of functional cores and a plurality of routers, all the routers are mutually connected to form an on-chip network, all the functional cores are mounted on the on-chip network to realize mutual communication, and the chip further comprises a power consumption management module, all the functional cores and all the routers are configured to be subjected to clock frequency adjustment by a power consumption management module, and the power consumption management module is used for adjusting the clock frequency of the processor chip based on a received frequency raising request from the functional cores and / or the routers; the clock frequency of the processor chip is adjusted based on a self-configured adjusting mechanism; wherein the power consumption management module is configured to support unified adjustment of clock frequencies of all the functional cores and / or all the routers, and independently adjust the clock frequencies of each functional core and each router; and the power consumption management module is mounted on the network-on-chip to realize communication with each router and each functional core.

The invention provides a self-adaptive PD charging control method and system based on a double Type-C circuit and a storage medium, and the method comprises the steps: monitoring an interface connection state in real time, collecting power-on current information when peripheral access is detected, and intelligently recognizing a device type in combination with a preset current threshold range and a PD protocol handshake process. The function change-over switch and the charging management module are dynamically configured; if the device is a data device, a data path is connected and power output is limited; if the device is a charging device, charging parameters are negotiated and high-power transmission is started; when the double charging devices are connected, intelligent power distribution and priority management are executed, electrical parameters such as voltage, current and temperature are continuously monitored, and self-adaptive adjustment is triggered when the voltage, the current, the temperature and the like exceed the limit. According to the invention, intelligent function switching and safe power management of double interfaces are realized, the risk of misplug damage is effectively avoided, and the equipment compatibility, the system energy efficiency and the user experience are improved.

The invention discloses a spaceborne high-performance calculation module and system based on a SpaceVPX standard and a control method. The calculation module comprises a board card following the SpaceVPX standard, and a core processor module, a storage module, a communication interface module, a monitoring module, a power management module and a VPX connector which are integrated on the board card. The core processor module adopts an anti-radiation reinforced high-performance processor; the storage module comprises a DDR4, a NORFLASH and an SSD (Solid State Disk); the communication interface module comprises an Ethernet, an SRIO high-speed interface and a debugging interface; the monitoring module collects state information through an I2C bus; the power management module provides stable power supply; the VPX connector leads out an SRIO bus, an ETH bus and an I2C bus, and star interconnection with other units on a satellite is achieved. Through standardized and modular design, the problems that an existing satellite-borne computing architecture is fixed, poor in expansibility and insufficient in reliability are solved, and high-performance, high-reliability and flexibly-combined satellite-borne data processing capacity is achieved.

The invention relates to a TCN-BiGRU model-based wind power cluster power micro-prediction method in the technical field of new energy power management, and the method comprises the steps: carrying out the multi-scale decomposition of a wind speed signal through successive variational mode decomposition (SVMD), and extracting the feature components of different frequency bands; and then combining the decomposed wind speed characteristic component with other data characteristics to carry out PCA dimension reduction processing, optimizing key parameters of a DB algorithm through a fruit fly optimization algorithm FOA, realizing efficient clustering of the fan and selecting a representative machine. And finally, an SVMD-TCN-BiGRU-MSA-GJO hybrid micro-prediction model is constructed. A long-term dependency relationship is extracted through a time convolution network TCN, a bidirectional gating cycle unit BiGRU models time sequence dynamic characteristics, a multi-head self-attention mechanism MSA is introduced to optimize feature weight distribution, and a GJO algorithm is used to carry out adaptive tuning on model hyper-parameters. The method shows higher micro-prediction accuracy.

Disclosed herein are systems and methods for power transmission between playback devices, systems and methods for energy harvesting and distribution for audio playback devices, and systems and methods for wirelessly powering wearable audio playback devices.

The invention provides an energy-saving compressor intelligent self-adaptive control system based on multi-sensor fusion, which belongs to the technical field of industrial compressor intelligent control and comprises a data acquisition module, a signal conditioning module, a multi-sensor information fusion module, an intelligent control decision module, an execution driving module and a system power supply management module. A state display alarm and remote communication module can be additionally arranged. Multiple sensors collect operation and environment parameters of the compressor, and after conditioning, a comprehensive state evaluation result is generated through D-S evidence theory or fuzzy logic fusion; the intelligent module generates a control instruction based on a load prediction algorithm and a fuzzy PID self-tuning strategy, and the execution module drives the compressor to act; the power supply module supports solar power supply and multi-power supply switching. The system overcomes the limitation that a traditional compressor is single in sensing, rigid in control and the like, comprehensive sensing, accurate evaluation and self-adaptive energy-saving control are achieved, the operation stability is improved, and the energy consumption and the operation and maintenance cost are reduced.

The invention provides a current detection circuit, a chip and a control system, and relates to the technical field of power management chips, the circuit comprises a reference current generation circuit, a differential signal conversion circuit and a voltage conversion circuit; the reference current generating circuit is used for generating reference current; the differential signal conversion circuit is used for performing differential operation on the accessed first input voltage and second input voltage to obtain differential voltage and converting the differential voltage into differential current; the current acquisition module is also used for acquiring a first current based on the reference current, and the first current is the difference between the reference current and the differential current; and the voltage conversion circuit is used for converting the first current into a voltage signal to obtain an output voltage. By converting the differential voltage into the differential current, the limitation of the current detection circuit on the condition that the input signal is relatively high common-mode voltage can be overcome, and the problem that the output offset voltage is relatively high when the common-mode voltage of the input signal is relatively high is reduced, so that the output offset voltage is reduced.

The invention relates to the technical field of earthquake and acoustic exploration, and discloses a signal acquisition and transmission method, device, equipment and medium based on a main control unit, and the method comprises the steps: generating a sampling clock signal and a time counting signal, driving an analog-to-digital conversion unit to obtain a digital acquisition signal, and reading equipment state parameters; after the timestamp is added, the digital signal is stored in the first cache unit, the state data after the timestamp is added is stored in the second cache unit, the data signal cache unit is written into a first FLASH partition after being full, and the state data cache unit is written into a second FLASH partition after being full. And after data is read from the FLASH, differential signals are output through the multi-wire parallel interface, the logic processing unit and the serialization unit. According to the invention, power consumption is reduced through unified power management and optimization of clock control and a dormancy mechanism, and transmission bandwidth is improved in combination with high-speed differential output, so that both low power consumption and high efficiency are realized.

The invention belongs to the technical field of mechanical arm remote controllers, in particular to a mechanical arm six-degree-of-freedom remote controller based on a rocker and an axial finger ring, and provides the following scheme that the mechanical arm six-degree-of-freedom remote controller comprises a remote controller main body, a left control unit and a right control unit, and an STM32F405 main control MCU, a power management module, a communication module, a vibration feedback module and an LED indication module are arranged in the remote controller main body. An axial sliding ring structure is arranged on the basis of a two-dimensional rocker, and six-degree-of-freedom visual control over translation of the tail end of the mechanical arm in the X axis, the Y axis and the Z axis and rotation (pitch, roll and yaw) around the three axes is achieved in combination with a determined sensor, a processor and a communication scheme; an actuator switch button and a speed gear shifting wheel are integrated; the structure is simple and reliable, the ergonomic design is good, the manufacturing cost is controllable, and the response is real-time.

The invention discloses a branch prediction unit power consumption management method and device, and the method comprises the steps: setting a multi-stage branch predictor and a low-power-consumption control logic coupled with the multi-stage branch predictor in a processor core micro-architecture, and enabling the multi-stage branch predictor to comprise three stages of predictors which are sequentially accessed in an assembly line, the hardware resource consumption and the prediction accuracy of each predictor are gradually increased from front to back; monitoring the prediction condition of each predictor in real time through low-power-consumption control logic, and closing all predictors behind the first predictor meeting the prediction requirement within a first preset time according to a front-to-back sequence; branch jump addresses are divided into high-order address fields and low-order address fields by BTBs in the multiple levels of predictors except the first-level predictor to be stored in different storage blocks, and label registers used for taking the high-order addresses as label indexes are arranged. The power consumption unit of each predictor can be finely controlled, the energy consumption is greatly reduced, system-level cooperation is not needed, and the universality is high.

The application discloses a high-reliability high-power three-dimensional heterogeneous integrated radio frequency antenna integrated microsystem, comprising a DPC substrate, a copper-based three-dimensional structure, a two-stage SiC adapter plate, a bare chip, a radio frequency circuit, a passive device and an antenna interface; wherein the DPC substrate is used for realizing integrated three-dimensional heterogeneous integration of the microsystem; the copper-based three-dimensional structure comprises a three-dimensional coaxial transmission structure and a three-dimensional packaging frame structure, and is used for realizing vertical transmission of high-power radio frequency signals and air-tight packaging of the microsystem; the two-stage SiC adapter plate is used for realizing a 2.5D*2 five-layer ultra-high-density mixed three-dimensional stacking architecture; the bare chip comprises a silicon-based Fan-out multifunctional bare chip, a power management bare chip, a power amplifier bare chip and a receiving bare chip; the radio frequency circuit comprises a radio frequency transmitting circuit and a radio frequency receiving circuit. The application forms a complete integrated air-tight packaging microsystem, and simultaneously realizes high reliability, high-density integration and high-power heat dissipation.