1992results about How to "Reduce power consumption" patented technology

Embodiments of the invention disclose a method, a device and a system for processing a wake-up lock, and belong to the field of computer technology. The method comprises the following steps: detecting whether a wake-up lock is in a working state, and if so, obtaining a wake-up parameter corresponding to the wake-up lock, wherein the wake-up parameter comprises an arithmetic operation corresponding to the wake-up lock and an application program corresponding to the wake-up lock; judging whether the arithmetic operation corresponding to the wake-up lock requires a sensor of a terminal; if not, generating a wake-up transfer request according to the wake-up parameter, sending the wake-up transfer request to a server, and releasing the wake-up lock, wherein the server is used for executing the arithmetic operation corresponding to the wake-up lock; and receiving a wake-up message sent by the server, and waking up the terminal according to the wake-up message. By adopting the method disclosed by the invention, after a display screen of the terminal is closed, the system time occupancy of the application program can be reduced, the power consumption of the terminal is reduced in the case that the display screen of the terminal is closed, and the standby time of the terminal is prolonged.

The invention provides an automobile air conditioner control method and device, a storage medium and an automobile air conditioner. The automobile air conditioner control method comprises the following steps of obtaining current environment temperature outside an automobile and current heating accumulation operation time of the air conditioner; and determining whether an air outlet and / or an airinlet of the air conditioner are covered with ice and snow or not according to the current environment temperature outside the automobile and the current heating accumulation operation time. The scheme provided by the invention can be used for solving the problem that due to the fact that the air outlet and / or the air inlet of the automobile air conditioner are covered with ice and snow, the problem that the heating effect of the air conditioner is reduced is solved.

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 embodiment of the utility model relates to an enhancement mode high electron mobility transistor device. An enhanced mode high electron mobility transistor device includes a semiconductor body having a top surface and including a heterostructure configured to generate a two-dimensional electron gas. A high electron mobility transistor device includes a gate structure extending over a top surface of a semiconductor body, biased to electrically control a two-dimensional electron gas, and including a functional layer and a gate contact in direct physical and electrical contact with each other. The gate contact is made of a layer of conductive material, and the functional layer is made of a layer of two-dimensional semiconductor material and includes a first doped portion having P-type conductivity extending over a top surface of the semiconductor body and interposed along a first axis between the semiconductor body and the gate contact. According to the embodiment of the invention, the low power consumption of the transistor in use is ensured, and the integration of the transistor into an electronic circuit in a design step is simplified.

The invention discloses an optical communication system and an optical communication method. An optical communication system includes a first device, an optical splitter, and a plurality of second devices. The first device is used for sending a first optical signal, the first optical signal is respectively transmitted to the plurality of second devices after being shunted by the optical splitter, and the first optical signal carries an analog radio frequency signal. The plurality of second devices are used for sending second optical signals respectively, the plurality of second optical signals are transmitted to the first device after passing through the optical splitter, and each second optical signal carries an analog radio frequency signal. The optical signal for communication between the first device and the second device bears the analog radio frequency signal, and the analog radio frequency signal does not need to be converted into a digital signal, packaged into an optical protocol frame format and then modulated into the optical signal. In this way, communication between the first device and the second device does not involve the optical protocol conversion process of optical protocol frame format encapsulation and de-encapsulation, the service delay of the system is reduced, the system structure is simpler, and power consumption and cost are reduced.

The invention provides a memristor neural network cloud edge collaboration method and a memristor neural network cloud edge collaboration system based on multi-mode sensing. The method belongs to the field of artificial intelligence multi-modal data processing. The method mainly comprises the following steps: distributing multi-modal data subjected to synchronous acquisition and time-space alignment to an FPGA (Field Programmable Gate Array) and a memristor array for parallel processing; splicing the processed multi-modal data in a channel dimension to generate a multi-channel fusion feature tensor; a memristor array is used for carrying out storage and calculation integrated calculation on the multi-channel fusion feature tensor, and an advanced feature map is output; receiving a differential update packet issued by the cloud, and selectively updating the weight in the memristor array according to the update packet; and carrying out in-situ fine tuning on partial weights in the memristor array based on locally acquired data. According to the method and the constructed system, the memristor array can be effectively compensated, the calculation precision is improved, and rapid self-adaption of a local scene and continuous and efficient iteration of global knowledge are achieved.

The embodiment of the invention provides a single-bus communication method and device, a chip and a medium, and the method comprises the steps: enabling a host to enter an initialization mode after the host confirms that an internal power supply and a clock of a slave are stable; the host sends a wake-up code to the slave within a set time to wake up the slave, and releases the bus to enter a normal communication mode; the host sends a communication signal to the slave through the improved communication frame; after the host receives a response signal of the slave, the host releases the bus, the bus is pulled to a high level from an external pull-up resistor, and the transmission is ended; wherein the format of the improved communication frame comprises ten codes, one code corresponds to one bit, and the ten codes sequentially comprise one start bit, six address bits, one read-write control bit, one data bit and one response bit. A wake-up code is set before communication between the host and the slave, so that the slave is prevented from being mistakenly waken up. According to the communication mode, the coding mode is simplified, the chip area is reduced, and the transmission speed of the chip is also improved.

The invention discloses a chirp interval modulation backscatter communication method and a chirp interval modulation backscatter communication system based on variable-length scrambling codes, which mainly solve the problems of high power consumption of backscatter labels and high system deployment cost in the prior art. According to the scheme, a sending end sends an environment LoRa signal; the backscattering label modulates information to be sent to an environment LoRa signal in a time interval modulation mode, and modulates a variable-length scrambling code to an anchor symbol; a receiving end performs frequency shift compensation on the backscattering signal by adopting a frequency shift compensation method, demodulates the backscattering signal by combining a sliding window with a variable-length scrambling code, intercepts a backscattering signal sample through the sliding window, and performs de-spreading and fast Fourier transform (FFT) on the signal in the window; the position of an anchor symbol is determined by detecting the maximum value of an FFT peak value, information sent by the backscattering label is recovered from the position of the anchor symbol, and data demodulation is completed. On the premise of keeping demodulation reliability, the power consumption of the tag is effectively reduced, the deployment cost of a backscatter communication system is reduced, and the method can be used for ultra-low power consumption Internet of Things communication.

The invention relates to the technical field of network acceleration, and discloses an edge-end large language model reasoning acceleration method and accelerator, and the method comprises the following steps: reconstructing a calculation process of a decoding stage, and carrying out the deep fusion of a multi-head attention mechanism and the calculation operation of a feedforward network; the weight and key value data are stored in HBM, and the coefficient and the accumulated attention score are stored in DDR; for linear matrix calculation, a unified matrix calculation unit is used for executing multi-precision matrix operation; for nonlinear function calculation, a mathematical transformation and linear fitting method is adopted, a Softmax function is converted into operation with 2 as the bottom through a bottom conversion formula, and truncation and third-order linear fitting are conducted on a Sigmoid function; and constructing a key value screening algorithm based on the accumulated attention score, dynamically adjusting a key value storage position, maintaining a recent key value cache region and an important key value cache region in a limited cache space, and realizing key value efficient cache in long text reasoning.

The invention discloses a large model reasoning hardware accelerator based on data flow execution, and belongs to the technical field of large model reasoning hardware acceleration. Each node comprises a linear calculation kernel used for sequentially completing query / key / value projection and attention output projection in multi-head attention calculation, dimension raising projection and dimension reduction projection calculation in a feedforward neural network layer, and inverse quantization operation after each projection is output; the multi-head attention calculation kernel is used for completing loading and quantization of query / key / value vectors, multi-head division and cache management, attention score calculation, Softmax normalization, context vector generation and KV cache updating; the RLA kernel is used for completing residual addition, layer normalization, quantization / inverse quantization and nonlinear activation calculation of each layer; the three cores in the same node are located in the same SLR area, and data transmission is carried out through a hardware queue and an HLS blocking mechanism. According to the invention, high hardware utilization rate and low-delay reasoning can be realized.

The application discloses a double-hearth two-stage heating vacuum distillation furnace, which comprises an evaporation furnace and a condensation furnace which are communicated through a gas passage, wherein the evaporation furnace comprises an evaporation furnace body and at least one top heating mechanism which is detachably arranged on the top of the evaporation furnace body; and the condensation furnace comprises a condensation furnace body, a side heating structure and a furnace cover, wherein the condensation furnace body is divided into a temperature control condensation chamber and a plurality of layers of multistage condensation chambers, and the gas passage can be combined or replaced according to the required reaction conditions of different materials. The vacuum distillation furnace can collect different metals through the gradient change of the temperature of the two hearths, reduces the process of secondary distillation of volatile matters after the furnace is stopped, can complete the processing of diversified raw materials, improves the work efficiency and reduces the processing cost; the modular top heating mode directly radiates heat to the materials, improves the heat utilization rate, can realize the working mode of stopping the furnace without stopping the work, helps to improve the work efficiency, and is convenient for completing the furnace cleaning, maintenance and solid material taking and placing.

The invention discloses a man-machine instruction automatic generation external control system and method based on physical isolation perception. The system comprises an external execution body, a display sensing module, an artificial intelligence decision module and an input execution module. The local independent proxy device operates independently of the controlled system, acquires a screen display signal of the controlled system in one direction through an external display acquisition link, generates a control instruction based on acquired interface information, acts on the controlled system through a standard man-machine input interface, and constructs a closed-loop verification mechanism taking the screen display signal as a judgment basis. The information acquisition constraint, the judgment constraint and the execution authenticity constraint are followed, and verifiable confirmation of a control instruction execution result is realized. The system supports multi-mode triggering and external physical equipment extension control, solves the problems of insufficient safety, limited compatibility and poor verification reliability in the prior art, and is suitable for application scenes with high safety requirements.

The invention relates to the technical field of man-machine interaction, in particular to an intelligent screen turning-on and turning-off control method and system based on a microwave radar, which completely eradicates the risk of privacy disclosure and realizes high privacy protection through an identification mode of not collecting optical image information and only analyzing motion and vital signs through electromagnetic waves, and is not influenced by the environment, so that the intelligent screen turning-on and turning-off control method and system based on the microwave radar can be applied to intelligent screen turning-on and turning-off control. The system can stably work in severe environments such as all black and strong light, has super-strong environmental adaptability, and enables the judgment of screen opening to better conform to the real intention of a user by sensing the accurate postures of person existence, no person existence, approaching, departing, right facing or side facing, reduces false triggering to the greatest extent, improves the accuracy of system judgment, and improves the user experience. The instrument does not need to be kept in a bright state all the time in the operation process, when no person is in front of the instrument, the screen is automatically turned off at proper time, and when an operator comes to the front face of the instrument and prepares to operate the screen, screen display is automatically turned on, energy is saved, environment is protected, and the instrument is convenient to operate.

The invention discloses a wide-spectrum rapid scanning and intelligent identification method, system and device, and the method comprises the steps: firstly, carrying out the rapid frequency sweeping through employing a low-sampling-rate and low-quantization-precision receiver, generating a low-resolution time-frequency graph, and recovering the super-resolution of the low-resolution time-frequency graph into a high-resolution spectrum through a pre-trained deep learning model; then, the enhanced time-frequency image is segmented into time-frequency blocks, global features are extracted through a Transform encoder, and detection and screening of multiple candidate signal areas are achieved; and finally, carrying out directional sampling on the candidate region, respectively extracting time domain and frequency domain features, mapping the time domain and frequency domain features to a unified space for fusion, and completing signal category judgment based on the combined features and a judgment network. According to the wide-frequency-spectrum rapid scanning and intelligent identification method, system and device, through a layered architecture of broadband rapid scanning-frequency spectrum quality recovery-multi-region detection-directional sampling and time-frequency fusion identification, the reliability of unmanned aerial vehicle signal detection and identification in a complex electromagnetic environment is improved while the hardware cost is reduced.

The invention discloses a 2.4 G-based RSSI (Received Signal Strength Indicator) positioning data relay transmission device and method, and belongs to the technical field of wireless communication. The device comprises a positioning label, a positioning gateway, a relay gateway and a public network gateway. The positioning tag broadcasts a 2.4 G signal containing the ID of the positioning tag; the positioning gateway scans the 2.4 G signal, and generates and broadcasts a data packet in which a positioning gateway address, a data packet number, a relay level and aggregated data are packaged; a relay gateway is switched to a low-power-consumption mode after initialization through a monitoring-learning-synchronization mechanism, wakes up and receives data in a broadcast time window of an upstream gateway of the relay gateway, updates a relay level and forwards the data to a downstream gateway, and therefore multi-hop relay transmission of the data is achieved. And the public network gateway finally uploads the data to a cloud platform or an upper computer. According to the invention, through data aggregation and time synchronization dormancy, the system power consumption is greatly reduced, and long-distance and long-endurance positioning data transmission of battery power supply in a complex environment is realized.

The invention discloses an intelligent glasses double-target speech enhancement method and system based on a multi-microphone array, terminal equipment and a medium, and relates to the technical field of speech enhancement. The method is applied to the intelligent glasses, and comprises the following steps: collecting noise-containing multichannel original time domain voice signals through a multi-microphone array of the intelligent glasses, and performing time-frequency domain conversion to obtain a frequency spectrum set; frequency domain complex spectrum amplitude-phase characteristics of each channel are extracted, a local time sequence context is introduced, and multi-channel space acoustic characteristics of amplitude-phase decoupling are constructed; and regulating and controlling the double-tone-area complex spectrum through pre-trained deep neural network modeling to obtain a target complex spectrum, and performing inverse time-frequency domain conversion and reconstruction to obtain an enhanced independent wearer voice signal and a preset direction target voice signal. According to the method, double-target voice parallel enhancement and non-target interference suppression are realized, the power consumption is low, the real-time performance is high, the method adapts to the harsh performance constraint of the end side of the intelligent glasses, and the robustness of voice enhancement in a complex noise scene is excellent.

The specification provides a fault diagnosis method and device. The method comprises: acquiring a plurality of sensor signals collected by a plurality of sensors, the sensor signals representing the running state of an autonomous unmanned system; inputting the plurality of sensor signals into a convolutional coding layer in a fault diagnosis model, encoding the plurality of sensor signals into a pulse space-time sequence by the convolutional coding layer according to the collection time of the sensor signals, extracting sequence features from the pulse space-time sequence by a first convolutional layer in a feature extraction layer, calculating attention weights corresponding to the sequence features by a self-attention layer connected to the first convolutional layer, further extracting prediction features related to fault detection from the sequence features by a second convolutional layer in an output layer based on the attention weights corresponding to the sequence features, and performing fault detection on the autonomous unmanned system based on the prediction features by a fully connected layer.

A storage controller and its data pattern detection system and method are disclosed, belonging to the field of data storage. The system includes a main control configuration module, an XOR verification module, a data pattern recognition module, and a data pattern statistics module. The main control configuration module receives control commands and outputs a verification level configuration signal. The XOR verification module performs an XOR operation on the data to be written in response to the verification level configuration signal when the data to be written is written, generating an XOR characteristic value. The input of the data pattern recognition module is connected to the output of the XOR verification module, and the input of the data pattern recognition module also receives the data to be written, used to determine and output a hardware encoding value based on the XOR characteristic value and the data to be written. The input of the data pattern statistics module is connected to the data pattern recognition module; the data pattern statistics module counts the number of data patterns in the data to be written based on the hardware encoding value and outputs the counted data.

This application discloses a method and related device for controlling in-vehicle temperature, relating to the field of automotive control technology. The solution includes collecting vehicle operating environment information, determining a target heating component and its corresponding target temperature value, as well as the target heating power of the air conditioner, based on the collected information. Both the target heating power and the target temperature value are positively correlated with the initial heat required to reach a specified in-vehicle ambient temperature. Finally, the temperature of the target heating component is controlled based on its target temperature value, and simultaneously, the heating power of the air conditioner is controlled based on the target heating power. In a coordinated control scenario, since the internal heating component is already activated to conduct heat to the user's local area, the local temperature can be quickly increased. Therefore, the heating power of the air conditioner can be appropriately reduced, thereby reducing the overall vehicle power consumption and increasing the electric vehicle's range in cold conditions.

The invention relates to a low-power-consumption data center refrigeration regulation and control method and system for gas-liquid heat exchange equipment, and belongs to the technical field of data center temperature control. The method comprises the following steps that a transient heat flux density distribution diagram of the surface of a data center is generated; reconstructing a three-dimensional temperature field and a three-dimensional airflow velocity field in the cabinet by using a computational fluid dynamics reduced-order model according to the obtained transient heat flux density distribution diagram; an abnormal thermal environment in the cabinet is self-adaptively identified to generate a dynamic jet flow control strategy; driving a micro-spraying pipe mounted at the back of the cabinet, spraying micro-jet of dielectric cooling liquid to the abnormal thermal environment by using the micro-spraying pipe, and impacting and damaging a boundary layer of the abnormal thermal environment by using the micro-jet; the rotating speed and the inclination angle of an exhaust fan at the top of the cabinet are adaptively adjusted to form a negative pressure suction flow field in which the internal area of the abnormal thermal environment is coupled with the inclination angle of the exhaust fan, so that the fluid conveying power consumption is reduced; the data center has the advantages that the power consumption of the data center is reduced by adjusting the rotating speed and the inclination angle of the exhaust fan.

The invention discloses a micromotor-driven distributed turbulent flow pumpless liquid cooling device for space thermal control. The micromotor-driven distributed turbulent flow pumpless liquid cooling device comprises a pipeline body and an impeller pump, the impeller pump comprises an impeller with the outer diameter being D and capable of actively rotating. When the impeller pump is used for overall heat dissipation of a single small-size electronic element, one impeller pump is arranged in the cooling flow channel at the position 0.5 D-1. 5D away from the upstream of the small-size electronic element; when the impeller pump is used for eliminating the hot spots of the large-size electronic element, one impeller pump is arranged in the cooling flow channel at the position 0.5 D-1. 5D away from the upstream of each hot spot to be eliminated. An external pump is removed, and the impeller pump is arranged in the cooling flow channel, so that on one hand, a cooling working medium is pumped, on the other hand, a turbulent flow effect is achieved on the cooling working medium, a boundary layer is broken, and the heat dissipation effect is improved. In addition, for a large-scale heat dissipation scene, a plurality of impeller pumps can be arranged in the cooling flow channel in an array mode, the impeller pumps can be placed at local hot spots in a targeted mode, targeted heat dissipation is achieved, and the heat dissipation efficiency and uniformity are further improved.

The application discloses an embedded voltage-stabilized heat-dissipation PCB structure with a thermoelectricity synergic regulation layer and a preparation method thereof. The structure comprises at least one PCB inner layer and a chip power supply pad arranged on the inner layer, and a ring-shaped or C-shaped thermoelectric material pattern (ZT>0.5 at room temperature) is embedded in a region corresponding to the chip power supply pad directly below the inner layer. A first end of the thermoelectric material pattern is electrically connected to a power supply layer, and a second end is electrically connected to a grounding layer or a heat-dissipation through hole. The application utilizes the temperature difference during the operation of a chip to drive the thermoelectric material to generate a reverse electromotive force to inhibit power supply ripple, and simultaneously utilizes the Peltier effect to actively pump heat, so that the inner layer is integrated with voltage stabilization and heat dissipation. The power supply ripple can be reduced by 25% to 42% and the surface temperature of the chip can be reduced by 11 DEG C to 14 DEG C by using the PCB structure. The application directly integrates the thermoelectric function in the PCB inner layer, does not occupy the surface layer area, and is suitable for the packaging substrate of high-performance computing chips.

An application of the present disclosure is an electronic device. One of objects of one embodiment of the present application is to provide an electronic device which is convenient to use when worn on the body. One embodiment of the present application is an arm-mounted electronic device including a display panel, a power storage device, a circuit, and a sealing body. The display panel displays using power supplied from the power storage device. The circuit includes an antenna to charge the power storage device wirelessly. The sealing body includes the display panel, the power storage device, and the circuit in the inside thereof. The sealing body has a portion through which visible light is transmitted. The sealing body can be mounted on an arm or connected to a structure which can be mounted on an arm.

The utility model discloses an audio frequency signal processing circuit, including signal receiving unit, primary filter unit, primary signal amplification unit, secondary filter unit, secondary signal amplification unit, power regulation unit and signal output unit, and the unit is electric connection in proper order, and the audio frequency signal of signal receiving unit acquisition is outputted by signal output unit after filtering, amplification and power regulation processing. The utility model has the beneficial effect of reflecting: through power regulation unit, corresponding output signal is automatically regulated according to input signal, when input signal amplitude changes greatly, can make output signal amplitude stable and unchangeable or limit in a very small range change, so that the receiving end of MCU chip can not be unable to work normally because of too small input signal, also not only because of too big input signal and occur saturation or jam, circuit structure is simple and does not need a large number of complex algorithm analysis, can be efficiently operated on low -cost, low -power consumption treater.

Embodiments of the present application disclose a target object detection method and related device, the method comprises: obtaining a target reflection parameter of a target area; determining a movement parameter of a reflection source based on the target reflection parameter, and judging whether the movement parameter is located in a first preset range; if the movement parameter is located in the first preset range, confirming that the type of the reflection source is a moving target object; if the movement parameter is not located in the first preset range, confirming that the type of the reflection source is the interference source. By setting a preset range as a trigger condition, the detected movement parameter and the trigger condition are compared, only when the trigger condition is met, the corresponding functional element is started, the possibility of misjudgment is reduced, the power consumption of the device is reduced to a certain extent, and the user experience is improved.

The invention relates to a method of synchronizing a receiver initialization vector with a sender initialization vector when successively transmitting encrypted data packets from a sender to a receiver, wherein a key and an initialization vector are generated. The sender forms a sender sub-counter from the lowest M bits of a counter of the sender initialization vector, encrypts a message according to an encryption method, generates a data packet from the encrypted message and the sender sub-counter and transmits it, and increments the counter of the sender initialization vector. The receiver receives the data packet, extracts the sender sub-counter therefrom, forms a receiver sub-counter from the lowest M bits of a counter of the receiver initialization vector, replaces the lowest M bits of the counter of the receiver initialization vector by the sender sub-counter if the comparison results in the sender sub-counter being higher than the receiver sub-counter, and repeats the replacement and the incrementing of the counter value of the receiver initialization vector by 2 if the comparison results in the opposite, decrypts the message, and then increments the counter of the receiver initialization vector. M , decrypts the message, and then increments the counter of the receiver initialization vector.

This invention discloses an FPGA-based SS7 Layer 2 signaling parsing system and method, overcoming the problems of high power consumption, weak processing capability, difficult PCB (printed circuit board) routing, poor real-time processing effect, and high difficulty in purchasing components in existing SS7 signaling protocol parsing chips. The system includes: a second FPGA module for implementing SS7 Layer 2 signaling parsing and a data processing module connected to the second FPGA module. The second FPGA module includes a serial-to-parallel data conversion module, which is connected to a data receiving module and a data sending module. A link control module is also connected between the data receiving module and the data sending module. Utilizing FPGA for processing reduces power consumption, increases processing speed, provides strong real-time processing effect, and reduces routing space and complexity.

The invention discloses a voltage-controlled oscillator circuit, comprising: a current control circuit module configured to receive an input voltage and generate a control current responsive to the input voltage; the ring oscillator circuit module is connected with the current control circuit module and comprises a multi-stage inverter and a current adjusting unit which are connected in series to form a ring; the current adjusting unit is respectively connected to the current control circuit module and each stage of the multi-stage phase inverter, and is configured to synchronously and symmetrically adjust the pull-up current and the pull-down current of each stage of phase inverter in the multi-stage phase inverter in response to the control current; and the output driving circuit module is connected with an output node of the ring oscillator circuit module so as to shape and drive the oscillation signal generated by the ring oscillator circuit module and output a clock signal with a duty ratio of 50%. The circuit structure is simplified, the chip area is saved, the oscillator is allowed to directly work at the target frequency instead of double frequency, and the overall power consumption is reduced.

This invention discloses a method for optimizing the cost management of flue gas pollution control, comprising: Step 1: generating a set of operating units for control equipment; Step 2: generating a sequence of combined energy consumption paths; Step 3: inputting the combined energy consumption path sequence into an improved Koopa model; Step 4: generating initial path features through a path embedding module and generating steady-state evolution features through a steady-state evolution coding module; Step 5: generating rearranged path features through a disturbance track rearrangement module using a smoke load tidal migration mechanism and generating a path cost evolution sequence through a cost trend output module; Step 6: performing weighted splitting of path affiliation to generate single-path control cost units; Step 7: performing emission contribution mapping to generate a path contribution sequence and using the MCTS algorithm for tree search to generate a control path adjustment set; Step 8: outputting the cost optimization results. This invention combines the improved Koopa model and the MCTS algorithm to achieve dynamic optimization of flue gas control paths.

The present application belongs to the field of embedded system and video stream processing technology, in particular to a method and system for dynamically processing multi-channel video data stream by dual operating systems, the first operating system and the second operating system are simultaneously run in the heterogeneous multi-core processor subsystem, the second operating system collects hardware state in real time and reports, the first operating system executes global resource allocation optimization algorithm and then issues to the second operating system for accurate execution, and can trigger part of reconfiguration. The second operating system creates real-time processing tasks for each video stream and executes in parallel, and reports performance indicators to the first operating system for global optimization decision, and completes configuration switching in the video frame gap. The present application organically combines the flexible management capability of general operating system and the deterministic response of real-time operating system, and realizes high concurrency, low delay, dynamic adaptation and high reliable processing of multi-channel video stream.