461results about How to "Increase power consumption" patented technology

The invention discloses an exhibition hall intelligent control system and method based on the Internet of Things technology, and the method comprises the following steps: collecting environment data in an exhibition hall in real time through a self-adaptive multi-mode sensor network, and dynamically adjusting the sampling frequency of a sensor through a multi-dimensional data sudden change monitoring algorithm by the system, the central processing module is combined with historical and real-time data, time sequence multi-dimensional regression analysis is adopted, an environment change prediction model is generated, then equipment control parameters are generated, the system dynamically adjusts the operation states of temperature equipment, illumination equipment and the like in the exhibition hall according to behavior data of visitors and the environment parameters, the experience of the visitors is optimized, and the experience of the visitors is improved. The intelligent anomaly detection module monitors the operation state of equipment in real time and identifies and isolates fault equipment in time, and the system preferentially guarantees equipment operation and reduces energy consumption when visitors are dense through a long-term energy consumption optimization learning algorithm, so that energy-saving management and long-term self-optimization of the exhibition hall are realized.

The invention discloses an external bias pixel structure of a light receiving stage circuit in a dynamic vision sensor pixel. The external bias pixel structure comprises a photodiode, a logarithmic tube, an amplifier tube, a switch tube and a bias tube, the bias tube, the switch tube and the amplifier tube are sequentially connected in series, a source electrode of the bias tube is connected with a power supply, a drain electrode of the bias tube is connected with a drain electrode of the switch tube, a source electrode of the switch tube is connected with a drain electrode of the amplifier tube, and a source electrode of the amplifier tube is grounded; the grid electrode of the bias tube is in signal connection with Vbias, the grid electrode of the switch tube is in signal connection with Vcpr, the source electrode of the switch tube and the drain electrode of the amplifier tube are connected with the grid electrode of the logarithmic tube, the drain electrode of the logarithmic tube is connected with a power supply, the source electrode of the logarithmic tube is connected with the negative electrode of the photodiode, and the positive electrode of the photodiode is grounded. And a grid electrode of the amplifier tube is also connected between the source electrode of the logarithmic tube and the negative electrode of the photodiode.

The invention relates to a high-speed data synchronous acquisition and emission system suitable for a satellite communication MIMO (Multiple Input Multiple Output) system. The system comprises two acquisition and emission daughter cards and a clock management unit, the acquisition and emission daughter card comprises a multi-channel ADC acquisition unit and a multi-channel DAC refreshing unit; a multi-channel ADC acquisition unit of the acquisition and emission daughter card sends acquired data to an FPGA for processing through a JESD204B interface, and then the data is forwarded through an optical module; a multi-channel DAC refreshing unit of the acquisition and emission daughter card sends data received by the optical module to an FPGA for processing, and then the data is sent to a DAC through a JESD204B interface for interpolation filtering and IQ conversion, refreshed and output to a radio frequency front end; and the clock management unit realigns the phase of the device clock and the phase of the reference clock in each power-on process by using a trigger signal of the clock chip so as to realize inter-board synchronization. The system can improve the synchronization performance and reduce the power consumption.

The invention provides a multi-mode user intention identification method and system based on eye movement tracking, the method identifies a gazing object based on an eye tracker, and combines modes such as text and image to estimate the user intention to execute a specific task, the eye movement tracking is that pupil positions are positioned through an event camera to obtain coordinates, and the gazing point of eyes is calculated; according to the method, the user intention is identified and estimated, then the gaze information graph is constructed through picture element segmentation, the user intention is identified and estimated, the robustness and accuracy of user intention identification are enhanced, the system can more intelligently adapt to complex requirements of different users in different scenes, and therefore more personalized service experience is provided.

The invention discloses intelligent low-clearance cast-in-place pile construction equipment, system and method. The construction site scanning and model building, paying-off and point position projection and correction, automatic construction path planning, drilling positioning, preparation work before drilling (burying of a soil layer structure integrity evaluation sensor), drilling construction and accurate control of perpendicularity and drilling depth, drilling lifting and in-hole environment detection are sequentially completed. And therefore, the intelligent construction operation of the cast-in-place pile is completed, the equipment has the construction characteristics of miniaturization and large drilling depth, and the intelligent construction operation under the low clearance working condition is perfectly achieved.

The invention provides a quantum communication system, method and device, and is applied to the technical field of quantum communication. The quantum communication system comprises a first device and a second device which are connected through an optical fiber link, the first device generates an initial optical signal and a local oscillation optical signal, sends the initial optical signal to the second device, receives a quantum optical signal from the second device, and sends the quantum optical signal to the second device. Performing coherent detection and demodulation based on the local oscillator optical signal and the quantum optical signal to generate a quantum key, monitoring a preset parameter in the coherent detection and demodulation process, and adjusting the local oscillator optical signal to enable the preset parameter to reach a preset value; and the second equipment receives the initial optical signal, performs quantum state modulation on the initial optical signal to form a quantum optical signal, and sends the quantum optical signal to the first equipment. According to the embodiment of the invention, the deployment cost of the quantum communication system can be reduced, and the optimization of equipment power consumption and detection efficiency in the key distribution process is realized.

The invention discloses a chip built-in self-test memory grouping method based on a BPPC algorithm, and belongs to the technical field of calculation, reckoning or counting. The method comprises the following steps: extracting memory file information, preprocessing, and storing in a memory information structure array; through a K-means + + algorithm, performing preliminary clustering on the memories according to the attributes of the memories; constructing a constraint relationship between the memories through distance constraint, and representing the constraint relationship by using a conflict matrix; a compatible memory group is decomposed into memory groups without a distance relation by using a vertex coloring problem model, the memory groups without a constraint relation are subjected to one-dimensional boxing by using an FFD method, a grouping condition is optimized by using a particle swarm algorithm, and the grouping condition is assigned to a corresponding controller. A BPPC algorithm and an MBIST test method are combined, and an optimal solution with the minimum number of controllers is sought under the limitation of the memory distance and the maximum power consumption. According to the method, a multi-stage optimization method and a multi-target method are adopted, so that the grouping result is more accurate.

The invention relates to the technical field of internet of things equipment power consumption optimization methods, in particular to an internet of things equipment power consumption self-adaptive optimization method and system based on edge computing, and the method comprises the following steps: firstly, collecting historical operation data of different edge computing equipment, including but not limited to resource utilization rate, power consumption and network bandwidth; then, learning the historical operation data by using an improved multi-target deep reinforcement learning algorithm to obtain an equipment model; thirdly, predicting the optimal power value of the equipment through the equipment model; then, comparing the optimal power value with the actual operation power value of the current equipment, and when the optimal power value is inconsistent with the actual operation power value, sending an optimization instruction to the edge computing equipment; and finally, adjusting the parameter value of the edge computing device according to the optimization instruction to realize self-adaptive optimization of the power consumption of the device, so that the power consumption can be obviously reduced under various load conditions, and the task completion rate and the system response speed can be improved at the same time.

The invention discloses a power utilization regulation and control method and system for a data center, terminal equipment and a medium, and the method comprises the steps: obtaining the site information of the data center, and determining the incidence relation between all equipment in the data center; acquiring equipment power consumption and temperature data of each piece of equipment in the data center, and determining overall power consumption and temperature data of the data center; constructing a digital twinborn model based on the association relationship, the equipment power consumption and temperature data and the overall power consumption and temperature data; and on the basis of a digital twinborn model, simulating the change of the power consumption and temperature data of the equipment to obtain the change information of the overall power consumption and temperature data, and performing power consumption control on the equipment on the basis of the change information. According to the method, the digital twinborn model is constructed, power consumption control is actively simulated, an optimal power consumption control scheme is selected, the power consumption of the data center is optimized, and the problems that the energy consumption of the data center is too high and the energy utilization efficiency is too low are solved.

The utility model provides a fluid machine and heat exchange equipment, the fluid machine comprises a crankshaft, a cylinder sleeve, a cross groove structure, a sliding block, an upper flange and a lower flange, the crankshaft is provided with a first eccentric part and a second eccentric part along the axial direction; the crankshaft and the cylinder sleeve are eccentrically arranged; the cross groove structure is rotatably arranged in the cylinder sleeve, a first limiting channel and a second limiting channel of the cross groove structure are sequentially arranged in the axial direction of the crankshaft, the extending direction of the first limiting channel and the extending direction of the second limiting channel are perpendicular to the axial direction of the crankshaft, and the second eccentric part is slidably arranged in the second limiting channel and forms a limiting cavity; the first eccentric part extends into a through hole of the sliding block, and the sliding block is arranged in the first limiting channel in a sliding mode and forms a variable volume cavity. The upper flange and the lower flange are arranged at the two axial ends of the cylinder sleeve correspondingly, and a pressure relief ring groove is formed in the end face of the side, facing the cylinder sleeve, of the lower flange and used for communicating the two limiting cavities. According to the utility model, the problems of low energy efficiency and high power consumption of the compressor in the prior art are solved.

The embodiment of the invention provides a photovoltaic module control device, and the device comprises at least one bypass module which is used for being connected with at least one photovoltaic module in parallel; the driving circuit is used for driving at least one bypass module to work under the control of the controller; the power supply module is used for obtaining electric energy from the at least one photovoltaic module and outputting the electric energy to the controller under the condition that the at least one photovoltaic module works normally and the at least one photovoltaic module is bypassed; and the controller is used for controlling the conduction state of the at least one bypass module so as to control whether the at least one photovoltaic module is in the bypass mode or not. The power consumption of the control device is greatly reduced, meanwhile, the problem of voltage stress borne by the first series switch tube in the series control device when the first series switch tube is disconnected is solved, and the safety performance of the bypass control device is improved.

The invention provides a reinforcement learning-based sea-bird-imitating sea-land-air multi-terrain flapping-wing flying robot and a control method, the robot comprises a control cabin, an integration device and a wing device, the control cabin is mainly used for control, communication and detection of the robot, and the integration device is used for fixing the control cabin and the wing device. The wing device and the integration device are used for detection work of the robot on land, on the sea surface, under the sea and in the sky. Through the integrated design of the flapping wings imitating the sea sparrows, working modes can be freely switched in complex terrains such as land, sea surface, undersea and air, so that the robot can quickly adapt to different terrains according to task requirements, and high-efficiency, low-energy-consumption and long-time continuous detection tasks are achieved while high concealment is kept.

The invention relates to a data synchronization charging bin for a wireless sensor network, which comprises a data synchronization bin body structure and a data synchronization control system, the data synchronization bin body structure is provided with a plurality of grooves in a data synchronization bin body, and each groove is used for placing a wireless sensor. A charging and communication interface of the wireless sensor adopts a magnetic suction connector form, a shell of the data synchronization bin body is provided with a display screen, a control key and an indicator lamp, and the data synchronization bin is externally provided with a gigabit network communication interface; the data synchronization control module comprises an ARM main control module, a storage module, a communication module, a Beidou time service module and a power management module. According to the data synchronization charging bin for the wireless sensor network, rapid data collection and centralized charging of nodes of the wireless sensor network can be achieved, and meanwhile system time correction and synchronization of all the nodes in the wireless sensor network are completed.

A semiconductor device having a novel structure is provided. The semiconductor device includes a first element layer and a plurality of second element layers in which a temperature detection circuit, a voltage generation circuit, and a memory cell are provided in each layer. The plurality of second element layers are stacked on the first element layer. The memory cell includes a transistor in which a semiconductor layer having a channel formation region includes an oxide semiconductor. The transistor includes a back gate. A voltage generation circuit provided in each layer has a function of generating a back gate voltage supplied to a back gate of a transistor included in a memory cell provided in the same layer. The temperature detection circuit has a function of controlling the back gate voltage according to the detected temperature. In the second element layer, a back gate voltage supplied to a transistor included in the second element layer disposed in an upper layer is greater than a back gate voltage supplied to a transistor included in the second element layer disposed in a lower layer.

The invention relates to a dielectric filter and communication equipment, and the dielectric filter comprises at least two dielectric resonators which are connected with each other and a hole group, each dielectric resonator comprises a dielectric body and a resonant cavity, the dielectric body comprises a top surface and a bottom surface along a first direction of the dielectric filter, the resonant cavity penetrates through the top surface or the bottom surface, and the resonant cavity penetrates through the top surface or the bottom surface along a second direction of the dielectric filter. The dielectric body further comprises a first side face and a second side face, the hole sets are arranged between two adjacent dielectric resonators, each hole set comprises a first hole and a second hole, the two ends of the first hole penetrate through the top face and the bottom face respectively, the second hole penetrates through at least one of the first side face and the second side face, and the first side face and the second side face are arranged in the third direction of the dielectric filter. The projection of the first hole and the projection of the second hole are crossed, so that a magnetic field between two adjacent dielectric resonators is cut more sufficiently, the coupling strength between high-order modes of higher harmonics is reduced, the far-end suppression capability of the dielectric filter is improved, a low-pass filter does not need to be additionally arranged, and the cost and insertion loss are reduced.

The invention relates to the technical field of servers, and discloses a firmware updating method, computer equipment, a storage medium and a program product, and the method comprises the steps that a substrate management controller periodically sends a target request to a firmware updating platform; the firmware updating platform obtains second version information according to the identification information in the target request, and when it is determined that firmware updating operation is executed according to the first version information and the second version information in the target request, an awakening notification is generated and sent to the substrate management controller. When the substrate management controller is in the first working mode, the substrate management controller is switched to the second working mode, self-checking operation is executed in the second working mode, when the timing time accords with the first time indication information in the wake-up notification, the operation result of the self-checking operation is obtained, and when the operation result is successful and the target file is received, firmware updating operation is executed. The firmware updating task can be completed in time.

The invention discloses an anti-interference filter based on FFT (Fast Fourier Transform), and relates to the field of GNSS (Global Navigation Satellite System) receivers. A radio frequency front end is used for receiving GNSS signals and down-converting the GNSS signals into IF (Intermediate Frequency); the analog-to-digital converter ADC is used for converting the GNSS signal which is received by the radio frequency front end and moved to the intermediate frequency into a digital signal; and the anti-interference filter is used for converting the digital signal from time domain representation to frequency domain representation, eliminating an interference signal in a preset frequency range in a frequency domain according to a preset demand index, and inversely transforming the frequency domain signal subjected to interference elimination back to the time domain. The invention further discloses an interference suppression method of the anti-interference filter based on the FFT, the anti-interference filter based on the FFT is suitable for various GNSS receivers, the anti-interference performance of the receivers can be effectively improved, and the accuracy of navigation and positioning is ensured.

The invention discloses an arc detection method and system based on a lightweight neural network model, and relates to the technical field of artificial intelligence. A to-be-detected image is input into an arc detection model; the arc detection model comprises a plurality of depth separable convolutions and is subjected to model training and model quantification in advance; and extracting multi-level features of the to-be-detected image according to each depth separable convolution through the arc detection model, and outputting a probability value that the to-be-detected image is an arc image according to the multi-level features. According to the invention, the arc detection model is established by using the depth separable convolution structure, the multilevel features of the input image can be extracted for arc detection, and the arc detection efficiency and precision are improved. According to the deep separable convolution structure, space convolution and channel convolution are separated in a convolution layer, network parameters and the calculation amount are remarkably reduced, and the system power consumption and the calculation efficiency are further optimized through model quantization. The problem that the arc signal detection method is difficult to give consideration to detection precision and system power consumption is solved.

The invention relates to the technical field of stress measurement, in particular to a wall surface shear stress measurement method based on an event camera and a micro-cylinder sensor, and the method is used for measuring wall surface shear stress in a flow field and comprises the following steps: setting a mounting position of the micro-cylinder sensor; setting an event camera light threshold; based on an event camera, acquiring a pixel position of a top bright spot of the micro-cylinder sensor at an initial moment and a mark point position on a substrate of the micro-cylinder sensor; the pixel position of a bright spot at the top end of the micro-cylinder sensor in the working state is collected; and obtaining the wall surface shear stress in the flow field according to the micro-cylinder sensor top end bright spot offset and a curve between the wall surface shear stress and the micro-cylinder sensor top end bright spot offset. According to the invention, the detection efficiency of the micro-cylinder sensor can be obviously improved, the problem of uneven lighting caused by using an LED is avoided, and the post-processing problem caused by simultaneous lighting of the top end and the bottom end of the micro-cylinder sensor after lighting is effectively avoided.

The invention discloses a buckle type self-power-taking wireless communication current transformer which comprises a buckle type current transformer module, an induction power-taking module, a discharge control module, a sampling compensation module and a wireless communication module. The buckle type current transformer module is used for inducing current from the high-voltage power transmission line; the induction electricity taking module induces energy from a high-voltage transmission line through an electricity taking CT, outputs stable direct current after rectification, filtering and voltage stabilization processing, and supports lithium battery charging and energy storage at the same time. And the discharge control module adopts a hysteresis comparator design, so that the safe operation of a post-stage circuit is ensured. The sampling compensation module accurately samples and compensates the current signal, and transmits the data to the wireless communication module in real time. The wireless communication module takes an STM32 microcontroller and an NBIOT communication module as a core, supports low-power-consumption and long-distance data transmission, realizes efficient data exchange and fault alarm through an MQTT protocol, simplifies equipment installation, and is suitable for a real-time monitoring scene of a high-voltage transmission line.

The invention relates to the technical field of access control equipment. The invention provides a face recognition method and access control equipment, the face recognition method is applied to the access control equipment, and the access control equipment calls a second camera to collect a second original image when recognizing that the advancing speed of a to-be-recognized object is greater than a preset speed threshold value or the ambient brightness is smaller than a preset brightness threshold value; obtaining a face matching result of a first original image collected by the first camera and a second original image collected by the second camera by using a pre-trained twin network; and when the face recognition result is that the to-be-recognized object is matched with the face library and the face matching result is that the first original image is matched with the second original image, sending a control instruction to perform unlocking operation. According to the invention, the fast movement of the to-be-recognized object and the face recognition precision in the dark environment are improved.

The invention belongs to the technical field of heterogeneous multi-core system application, and particularly relates to an energy consumption sensing task scheduling method under reliability constraint. Comprising the following steps: constructing a heterogeneous multi-core system model which comprises a task model, an energy consumption model and a reliability model; based on the heterogeneous multi-core system model, determining execution priorities of tasks; performing first-stage task copying on the task to ensure that the reliability value of each sub-task is higher than the reliability requirement of the system, and obtaining an initial task copy number; if the actual reliability value of the system is smaller than the reliability requirement of the system, performing second-stage task copying on the task to obtain a final task copy number; all task copies are distributed to corresponding processor cores according to execution priorities of tasks, and then the processor cores are switched from an idle mode to a sleep mode according to DPM technology use conditions so as to reduce power consumption; according to the method, the joint optimization scheduling of reliability and low power consumption of the heterogeneous multi-core system is realized, and the method has a wide application prospect in the heterogeneous multi-core system.

The invention provides a cooling tower and refrigerating machine collaborative optimization method based on a whale algorithm and a control system. The method comprises the steps of collecting operation data of a cooling tower and a refrigerating machine to form an initial state set; initializing an optimization parameter space, and designing a target function of the cooling tower based on the thermophysical constraint model; designing an energy efficiency optimization objective function of the refrigerating machine based on a thermophysical constraint model, and screening out a refrigerant flow and compressor power combination of the refrigerating machine meeting conditions; data are monitored in real time, a collaborative dynamic optimization objective function of the cooling tower and the refrigerating machine is designed according to the real-time data, and the goal of the collaborative dynamic optimization objective function is to maximize the comprehensive energy efficiency ratio of the system. According to the method, a two-stage collaborative optimization framework based on thermophysical constraints is constructed, so that the problems of target conflicts, insufficient physical constraint adaptability, insufficient dynamic adjustment capability and the like in the collaborative optimization problem of the cooling tower and the refrigerating machine are solved.

The invention relates to the technical field of optical fiber communication, and particularly discloses a polarization demultiplexing method and system based on rotation angle and phase delay estimation of a Stokes space, and the method comprises the steps: obtaining two polarization multiplexing signals which are transmitted through an optical fiber and are transmitted on the same wavelength, dividing the two paths of polarization multiplexing signals into a first optical signal and a second optical signal according to a preset proportion; based on the first optical signal, calculating a rotation angle and phase delay by using a digital signal processing algorithm, and obtaining a corresponding control voltage according to the calculated rotation angle and phase delay; adjusting an arranged polarization control panel by using the obtained control voltage, so that two paths of polarization multiplexing signals of a second optical signal part are separated after the second optical signal passes through the polarization control panel; and demodulating the second optical signal passing through the polarization control board to obtain two independent paths of output optical signals which are respectively demodulated by two direct detection receivers.

The invention provides a distributed new energy consumption control method and device. The method comprises the following steps: acquiring a double-layer master-slave game model; the double-layer master-slave game model comprises an upper-layer game model taking a micro-grid group as a main body and a plurality of micro-grids as slave bodies; a lower-layer game model taking the power distribution network as a main body and the micro-grid group and the shared energy storage operator as slave bodies; inputting the load power data and the new energy power generation power data of the plurality of microgrids into an upper layer game model, and outputting an upper layer game result; inputting the upper-layer game result, the capacity of the shared energy storage operator, the lease cost and the load power data of the power distribution network into a lower-layer game model, and outputting a lower-layer game result; the lower-layer game result comprises the optimal time-sharing purchase and sale electricity price of the power distribution network and the optimal interaction power of the power distribution network, the shared energy storage operator and the microgrid group corresponding to each time period. According to the invention, ordered power interaction between the plurality of microgrids and the power distribution network can be realized.

The utility model provides a sealed case, which is characterized in that an upper top plate and a lower bottom plate of the case are provided with air ducts, and the whole frame of the case and the air ducts are formed by welding connection; the fan is arranged at the top of the case, a plurality of pairs of slots are formed in an upper top plate and a lower bottom plate in the case, a connector is arranged on each pair of slots, the connectors are fixed in the slots through wedge-shaped locking devices, and heat of the connectors is transmitted to the air duct plate through the heat dissipation plate and then is taken away in a forced air cooling convection mode; the air flow only circulates in the air channel and is not directly contacted with electronic components on the connector, so that the inside of the case is completely isolated from the outside; sealing rings are arranged at the matching positions of the front panel and the rear panel and the welding box body, so that a totally-closed case form is formed. Under the conditions that the external environment is severe and the space size and the weight are limited, the high-power-consumption electronic equipment case can be designed through the configuration.

The invention provides a power consumption optimization method, an integrated circuit and a chip. The method comprises the following steps: acquiring a first endpoint register with a time sequence violation in a load register based on a time sequence report of EDA (Electronic Design Automation); obtaining all first load registers driven by the ICG; acquiring a second endpoint register driven by the ICG and limiting the overall performance of the circuit according to the first load register and the first endpoint register; dividing each load register into a plurality of register files which are not mutually coherent logically according to combinational logic; and copying one ICG for each register file to drive the CP end of each load register in the register file. According to the scheme, the ICG copying function of the EDA tool is utilized, ICG copying and placement of the key registers influencing the overall performance of the circuit are achieved, and the time sequence of the path between the load registers can be optimized to the limit on the premise that the process complexity is not increased and the power consumption of the integrated circuit is saved.

The invention provides a central air-conditioning load and low-carbon optimization method based on deep reinforcement learning and a game theory. The method comprises the following steps of: firstly, modeling multiple uncertainties such as unit parameters, environment temperature and source load of each part in the central air conditioning system by adopting methods such as interval number and the like; secondly, according to the carbon emission, the power load and the mechanism of the system, the operation mode of the central air conditioning system is optimized by taking the lowest comprehensive operation cost and low carbon as targets. According to the invention, a novel multi-objective optimization algorithm of ''offline training'' and ''online guidance'' is carried out through a strategy of combining a deep Q network of deep reinforcement learning and an interval multi-objective particle swarm optimization algorithm, and the low-carbon low-energy-consumption optimization scheduling problem of the central air conditioner under multiple uncertain factors is efficiently solved.

The invention relates to the technical field of wireless communication, and provides a high-linearity low-noise amplifier which comprises an input selection module, a first amplifier circuit module, a second amplifier circuit module, a first linear adjustment network, a second linear adjustment network, a first output matching adjustment module and a second output matching adjustment module. The input selection module comprises a first switch, a second switch, a third switch, a first capacitor and a second capacitor; the control end of the first switch serves as the input end of the input selection module, the output end of the first switch is used for being connected with the control end of the second switch or the control end of the third switch according to a received first control signal, and the output end of the second switch is grounded; the second output end of the first switch is connected with the control end of the third switch and the first end of the second capacitor. The output end of the third switch is grounded. The high-linearity low-noise amplifier provided by the invention can realize good power consumption, NF and linearity under different gain gears.

The invention discloses a high-speed low-power-consumption comparator of an SAR ADC, and relates to the technical field of analog or digital-analog hybrid integrated circuits. The comparator comprises a pre-amplification stage and a latch stage, an enable signal cp end of the pre-amplification stage is connected with an enable signal Ki, a positive input end of the pre-amplification stage is connected with a differential input positive end signal vp, a negative input end of the pre-amplification stage is connected with a differential input negative end signal vn, a positive output end vop is connected with a positive input end of the latch stage through a switch K1, and a negative output end von is connected with a positive input end of the latch stage through a switch K2. The switch K1 and the switch K2 are both controlled by an enable signal Ki; a differential input positive end signal vp is connected with the positive input end of the latch stage through a switch K3, a differential input negative end signal vn is connected with the positive input end of the latch stage through a switch K4, and the switch K3 and the switch K4 are both controlled by an inversion signal Kim of an enable signal Ki. According to the scheme, the gain and the bandwidth of the pre-amplification stage are improved, so that the speed and the precision of the pre-amplification stage are improved at the same time.