330results about How to "Reduce hardware costs" patented technology

The invention relates to the technical field of charging management, and discloses an intelligent charging management method, device and equipment for an electric scooter and a storage medium, and the method comprises the steps: carrying out the parameter collection and initialization setting of a single-phase bidirectional converter and a permanent magnet synchronous motor in the electric scooter, obtaining system basic parameters and communication data, and obtaining a network authentication identifier and a charging station operation parameter. And dynamic planning of a charging strategy is executed according to the parameters to generate a segmented charging control curve. And the data are input into the self-adaptive prediction controller to realize real-time adjustment in the charging process, and charging state data and power compensation parameters are obtained. And adopting a double-neural network model structure to obtain a battery safety feature matrix and a fault probability vector. And constructing a three-dimensional charging state space model to carry out optimization calculation on the power compensation parameters, inputting a deep reinforcement learning network to carry out iterative optimization, and generating charging control parameters of the next period, thereby improving the charging efficiency and the electric energy quality of the electric scooter.

The invention provides a multi-camera hard synchronization method based on a microcontroller, and relates to the technical field of camera synchronization, and the method comprises the steps: enabling a plurality of cameras to be sequentially connected through a synchronization interface, and enabling each camera to be connected with a switch; defining a synchronization source; when each pixel clock runs, the microcontroller of each camera is taken as a core, the microcontroller detects whether a synchronization pulse exists or not, if yes, synchronization is carried out, and when an asynchronous phenomenon occurs, the next camera can receive a synchronization signal sync in of the previous camera, and the microcontroller can judge whether the current synchronization time point is a proper synchronization time point or not; if the synchronization time point is not suitable, waiting for the current camera to capture the current frame and waiting for the next synchronization time point to perform synchronization, if the camera does not receive the synchronization signal sync in of the previous camera, performing internal synchronization after capturing one frame by the microcontroller, and after the internal synchronization is completed, retaining the synchronization state information of this time; and checking in the next execution period.

The invention relates to the technical field of heating temperature prediction, and relates to a heating room temperature prediction method, a medium, equipment and a heating room temperature prediction system, and the method comprises the steps: obtaining target information corresponding to a target house; inputting the target information into a predetermined heating room temperature prediction model to obtain a predicted room temperature corresponding to the target house; wherein the heating room temperature prediction model is a model obtained by training according to first historical heating data, and the first historical heating data comprises house information and actual room temperature of a plurality of houses, historical water supply temperature and historical water return temperature of a heating station for supplying heat to the houses, and historical meteorological information when the actual room temperature is collected; the actual room temperature is acquired by temperature sensors deployed in the houses, and the plurality of houses are part of houses in the building. According to the method, the prediction precision is higher, the hardware cost and the installation cost are remarkably reduced, the power consumption of the heating system is reduced, and the external temperature change can be responded in real time.

The invention discloses a quadruped robot obstacle avoidance method and system based on cooperation of a laser radar and a depth camera, and relates to the technical field of robot obstacle avoidance. The system comprises a quadruped robot, and the quadruped robot is provided with an industrial personal computer, a laser radar, a laser radar protection device and a depth camera. When the robot walks, the laser radar obstacle avoidance method is executed firstly, when a laser radar obstacle avoidance program fails due to the conditions of large blind areas and the like, the robot continues to walk until the laser radar obstacle avoidance program appears in the detection range of the depth camera, the depth camera obstacle avoidance method is executed for obstacle avoidance judgment again, and selection is made. The laser radar and the depth camera are combined for use to realize obstacle avoidance, and the depth camera is used as a blind compensation means and supplementation of laser obstacle avoidance, so that the safety is further improved. Processing depth data acquired by the depth camera by using a random forest; the operation amount is small and the processing speed is high.

The invention relates to the technical field of batteries, in particular to a battery life prediction method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining the adjacent historical data of a target battery at the current moment under the condition that the target battery is detected to be in a rapid attenuation stage based on the current capacity attenuation slope, and extracting health features of the target battery, obtaining an input feature vector to train a preset neural network, inputting the time sequence feature vector of the target battery into the trained neural network to carry out rolling prediction until a preset capacity limit value is reached, and obtaining a life prediction result. According to the embodiment of the invention, the rapid attenuation stage of the battery can be accurately identified, the attenuation stage approaching historical data is used for training the long-short-term memory neural network, the influence of early attenuation slow historical data of the battery on the capacity prediction precision is effectively avoided, and the residual life prediction accuracy is improved; the operation time and hardware cost of the model are reduced, and the method is safer and more efficient.

The embodiment of the invention discloses a bus voltage sampling circuit and a power supply system, and the circuit comprises a high-voltage sampling unit which is used for sampling a DC bus voltage and outputting a first voltage signal, and is connected with a first controller; the signal conversion unit is used for converting the first voltage signal into a current signal and outputting the current signal, and is connected with the output end of the high-voltage sampling unit; and the signal restoration unit responds to the current signal to output a second voltage signal, is connected with the output end of the voltage-controlled current source, and is also connected with the second controller. According to the embodiment of the invention, the direct current bus voltage of the first controller is converted into the current signal, then the current signal is restored into the voltage signal, and the voltage signal is input to the second controller, so that many mismatching problems of front and rear controllers are solved, and sampling of the direct current bus voltage is completed by one sampling circuit; the power consumption, the hardware cost and the PCB area caused by an extra sampling circuit can be avoided.

The invention discloses an integrated wafer pre-adjusting part and a wafer processing device, the integrated wafer pre-adjusting part comprises a first lifting platform, an adjusting mechanism, a detector and a code scanner, and the adjusting mechanism comprises a hook claw, a turntable, a first driving assembly and a second driving assembly; the first driving assembly is matched with the hook claw to move the wafer at the preparation station to the adjusting station, so that the wafer is positioned; the second driving assembly is matched with the turntable to rotate the wafer, so that the detector and the code scanner can confirm the notch position and coding information of the wafer, and edge searching and code scanning of the wafer are realized; the left and right sides of the wafer returning to the preparation station are limited by the slots, and the front and back positions are limited by the output stroke of the first driving assembly, thereby achieving the centering of the wafer. According to the wafer processing device, the wafers are pre-adjusted quickly through the integrated wafer pre-adjusting part, each wafer in the wafer processing device can have a unified and accurate position and posture before processing, and accurate data and a positioning basis are provided for subsequent wafer processing procedures.

A method for deception detection of a satellite, a receiver and a medium relate to the technical field of navigation positioning, and the method comprises the following steps: determining an observed value and a navigation message of a current visible satellite based on a received GNSS signal; authenticating satellites supporting navigation message authentication in the current visual satellites, and determining whether a first satellite passing the authentication exists or not; under the condition that the first satellite exists, the satellite which does not support navigation message authentication serves as a second satellite, observation value consistency deception detection is conducted on the second satellite on the basis of the observation value of the first satellite and the observation value of the second satellite, a deception detection result of the second satellite is output, and the deception detection result is used for representing the credibility of the second satellite.

The invention is suitable for the technical field of vehicle dynamics modeling and control, and provides a preview active suspension stiffness control method based on road surface grading and MAP mapping, and the method comprises the steps: collecting a road image through a vehicle-mounted visual sensor, dividing regions, and recognizing the road surface unevenness grade of each region through a convolutional neural network; obtaining the vehicle speed; and according to the current pavement grade and the vehicle speed, a vehicle speed-pavement grade-rigidity mapping MAP table generated in advance is inquired, and the target suspension rigidity is rapidly obtained and adjusted. According to the invention, the dependence on a high-precision sensor and a high-computing-power processor is reduced, and low-cost and fast-response rigidity optimization control of the preview active suspension is realized.

The invention provides a leaky-wave antenna and a frequency-modulated continuous wave generation method based on the leaky-wave antenna, and relates to the field of millimeter-wave radar, and the method comprises the steps: constructing a space-time coding matrix, configuring a radiation unit state regulation and control beam direction in a space domain, modulating a radiation unit state switching rule in a time domain to generate a frequency-modulated continuous wave, and achieving space-time dual-domain regulation and control. And frequency-modulated continuous waves with controllable bandwidth are generated. The space-time coding leaky-wave antenna is formed by alternately arranging 1-bit radiation units in an upper row and a lower row, switching of radiation / non-radiation states is achieved by loading a synchronous bias PIN diode across an annular gap, a space-time coding matrix is constructed, the states of the radiation units are configured in a space domain to regulate and control the wave beam direction, and the space-time coding leaky-wave antenna is formed. Modulating the switching rule of the radiation unit in a time domain, and generating a frequency-modulated continuous wave; the radiation efficiency is improved by the alternative arrangement of the radiation units, the control difficulty and the hardware cost are reduced, multiple functions are integrated into a single device, and the problem of low integration level of the traditional separation architecture is solved.

The invention relates to an SPD hub chip testing method and device, equipment and a storage medium. The method comprises the steps that if it is determined that a to-be-tested SPD hub chip is placed in a replaceable limiting frame of a test seat and communication connection is established with an upper computer, target environment parameters are set, the to-be-tested SPD hub chip is initialized, the upper computer is in communication connection with the test seat, preset test data are written into an EEPROM of the SPD hub chip based on the target environment parameters, then read-back comparison is carried out, and the to-be-tested SPD hub chip is initialized; the static verification data is used for judging the static storage reliability of the to-be-tested SPD hub chip in the current environment, executing continuous read-write operation on the to-be-tested SPD hub chip to obtain a dynamic pressure test data set, and generating a test result of the to-be-tested SPD hub chip based on the static verification data and the dynamic pressure test data set.

The invention discloses a motor winding temperature estimation method based on a thermal network model and related equipment, and relates to the technical field of temperature detection, and the method comprises the steps: obtaining the target heating heat and the target water temperature of a motor; determining a motor winding temperature estimation value based on the target heating heat and the target water temperature through a thermal network model obtained through training; wherein the thermal network model is obtained by training in the following mode: obtaining training parameters corresponding to a plurality of time points respectively; the training parameters comprise water temperature, temperature sensor temperature and heating heat; calculating according to the water temperature, the temperature of the temperature sensor and the heating heat to obtain a thermal impedance change curve; and fitting the thermal impedance change curve to obtain a thermal network model.

The embodiment of the invention provides a permanent magnet synchronous motor stator flux linkage online estimation method and system, and belongs to the technical field of permanent magnet synchronous motor control. The rotating speed information of the permanent magnet synchronous motor is acquired; selecting corresponding correction parameters according to the rotating speed information; according to the rotating speed information and the correction parameter, obtaining an online estimated stator flux linkage axis component; and obtaining a stator flux linkage estimation value according to the stator flux linkage axis component. The system hardware cost and the experiment time cost can be reduced, the identification process is simplified, and the identification efficiency and accuracy are improved.

The invention belongs to the technical field of wireless communication sensing integration, and discloses a stacked intelligent metasurface enabled communication sensing integrated beamforming design method, which comprises the following steps: S1, establishing a mathematical model of a stacked intelligent metasurface enabled communication sensing integrated system; s2, constructing a multi-objective optimization problem of the SIM-ISAC system; and S3, designing a double-normalized differential gradient descent algorithm to solve an optimization problem. By the adoption of the stacked intelligent metasurface enabled sensing integrated beam forming design method, downlink communication and radar target detection are achieved, and the sum rate of users is maximized by optimizing a multi-layer phase shift matrix of the stacked intelligent metasurface. Minimizing a mean square error between the normalized sensing beam pattern and the expected beam pattern; on the basis of a double-normalization differential gradient descent algorithm, the problem of non-convex multi-objective optimization is solved, multi-point expected beam forming in a two-dimensional angle domain is achieved, and acceptable balance is achieved in the aspect of communication performance.

The invention belongs to the technical field of ocean observation, and particularly relates to a real-time tide measurement method and system of a single Beidou height measurement buoy without a base station, and the method carries out buoy positioning and height measurement through a single Beidou navigation satellite without a shore-based reference station, thereby achieving high-precision tide real-time monitoring. The technology is widely applied to the fields of ocean tide monitoring, ocean dynamics research, ocean environment monitoring and early warning, ocean engineering and the like, and is particularly suitable for a sea area without a base station or far away from a shore base. By reducing the cost and improving the efficiency, the invention provides a reliable and low-cost solution for the marine monitoring system.

The present invention provides a method for optimizing a data stream, comprising: converting a plurality of Extract-Transform-Loads (ETLs) into a dataflow graph, the dataflow graph comprising a plurality of data processing courses, each data processing course comprising a plurality of data nodes, executing a first merge procedure comprising: repeatedly finding out at least two data processing courses having the same node, and combining the at least two data processing courses having the same node with the at least two data processing courses having the same node, the at least two data processing courses having the same node, the at least two data processing courses having the same node, the at least two data processing courses having the same node, and the at least two data processing courses having the same node; and merging the at least two data processing courses into a data family until any two of the data processing courses do not have the same node, executing a second merging program, including: calculating the column similarity of a node pair, the node pair being two adjacent data nodes in the data processing courses, the two data nodes are merged when the column similarity is greater than a threshold, and the dataflow graph is converted into an optimization script when the column similarity of the node pair is not greater than the threshold. According to the optimization method, the data flow diagram can be effectively and automatically generated.

The embodiment of the invention provides a multi-channel transcranial focused ultrasound regulation and control system and method based on high-frequency precise-control SPWM (Sinusoidal Pulse Width Modulation). The system is applied to the technical field of ultrasonic treatment and comprises a main control module, an ultrasonic driving module, a frequency tracking module, a power supply module and an ultrasonic transducer, the master control module is used for SPWM signal generation, driving strategy switching and frequency tracking algorithm deployment. The ultrasonic driving module is used for receiving the SPWM signal output by the main control module, amplifying and filtering the SPWM signal and then outputting a target sine driving signal to the ultrasonic transducer; and the frequency tracking module is used for realizing real-time detection and tracking of the actual resonant frequency of the transducer. According to the invention, the hardware cost of multi-channel driving is reduced; the total harmonic distortion of the driving signal is reduced, and the frequency and phase control precision is improved; multi-channel driving is realized through a single MCU, and cortical and deep brain region regulation and control are compatible; the stability of the treatment process is guaranteed while the energy utilization efficiency is improved.

The application provides a low-cost two-wire serial communication method for multi-device competition, which adopts two signal lines to realize bus arbitration and data transmission among multi-devices, wherein any signal line is used as a chip selection line, another signal line is used as a bidirectional data line, chip selection pins of all devices are configured as open-drain output, the chip selection line is connected to a positive electrode of a power supply through an external pull-up resistor, and a high level in a normal state represents a bus idle; when multiple devices share the same bus, distributed arbitration is realized through the following steps: a device continuously monitors a state of the chip selection line before sending data; if the state of the chip selection line is a high level, the device pulls down the chip selection line to attempt to obtain control right of the bus; if the state of the chip selection line is a low level, the device waits until the chip selection line is released; the device obtaining the sending permission sends data with a self-defined frame structure through the bidirectional data line; after the sending is completed, the device obtaining the sending permission releases the chip selection line.

The embodiment of the invention provides a photovoltaic charging control method and device, a storage medium and a charging system. The method is used for controlling a charging system, and the charging system comprises a PV panel, a PV boost converter and a battery system. The method comprises the steps that before a charging system is started, a first switching tube and a third switching tube are closed, and if it is judged that the short-circuit current of a PV panel is larger than a set current threshold value, the PV panel is controlled to be connected to and activate a battery system; when the charging system enters the working stage, acquiring the voltage of the PV panel and the power supply current of the battery system; power supply current and PV panel voltage are calculated through an improved MPPT algorithm, voltage single-loop given voltage is generated, and the improved MPPT algorithm starts to search the maximum power point when the PV panel voltage is zero; calculating the given voltage of the voltage single loop and the voltage of the PV panel based on a proportional-integral algorithm, and generating switch-on time of a switch tube; and the second switch tube and the third switch tube are controlled according to the switch tube conduction time, so that the hardware cost and the control cost of the charging system are reduced.

The utility model relates to the technical field of battery testing, in particular to a battery cell testing device. The cell testing device comprises a plurality of testing boxes, a temperature control assembly and a monitoring assembly, the testing boxes are provided with testing cavities for testing cells, the testing assemblies are arranged in the testing boxes, and the number of the testing boxes is multiple; the temperature control assembly comprises a compressor, a plurality of first loops and a plurality of first heat exchangers, the first loops are in one-to-one correspondence with the test cavities, each first loop is connected with the compressor and at least one first heat exchanger, and each test cavity is matched with at least one first heat exchanger; the monitoring assembly comprises a controller and a first monitor, the controller is electrically connected with the first monitor, the compressor and the first heat exchanger, each test cavity is provided with the first monitor, and the first monitor can monitor the temperature in the test cavity. The compressor is connected with the plurality of first heat exchangers, so that the number of the compressors in the battery cell testing device is reduced, the size of the whole battery cell testing device is reduced, and the manufacturing cost and the energy consumption of the battery cell testing device are reduced.

The invention provides a distance measurement method in a calibration process of a laser vision system, which belongs to the field of distance measurement, and comprises the following steps: shooting a positioning plate image with a laser point through a camera, and arranging a plurality of positioning identifiers with known world coordinates on the positioning plate; identifying a positioning identifier in the image, and acquiring a pixel coordinate of the positioning identifier; calculating a three-dimensional coordinate of the positioning identifier in a camera coordinate system; fitting a plane equation of the positioning plate in a camera coordinate system; pixel coordinates of laser points in the image are detected and extracted; converting the pixel coordinate of the laser point into a space ray equation in a camera coordinate system, and calculating an intersection point of the space ray and the plane equation to obtain a three-dimensional coordinate of the laser point in the camera coordinate system; calculating the distance from the laser point to the optical center of the camera. According to the method, all calculations are carried out in a unified camera coordinate system, alignment errors caused by non-unified coordinate systems of multiple devices are thoroughly eliminated, and the consistency of distance measurement and the overall calibration precision are improved.

The invention discloses an underground equipment train self-moving controller system based on a wireless technology. The underground equipment train self-moving controller system comprises an electro-hydraulic control device, a wireless signal acquisition device, a driving device, a wireless remote control system and a sound-light alarm device. The system monitors clamping, braking and pushing states of a train in real time through a wireless pressure sensor and a distance measuring sensor, and intelligent self-moving operation of the train and a track is achieved in combination with a logical algorithm. And the controller adopts Ethernet communication and can be externally connected with a mining camera, so that video signal transmission and real-time equipment monitoring are realized. The design of the wireless sensor greatly reduces the installation difficulty, improves the installation flexibility, and reduces the cable dependence and the system power consumption. The warning lamp is integrated with a wireless communication module, does not need to be additionally provided with a wireless receiving module, and has the functions of sound-light alarm and remote control. The whole self-moving process achieves full-automatic operation through logic control and real-time data feedback, manual intervention is not needed, the device adapts to the complex underground environment, and the operation efficiency and safety are remarkably improved.

The application discloses an alternating-current excitation device charging and discharging system and method for variable-speed pumped storage units and a medium. The system is provided with a charging and discharging circuit, so that the alternating-current excitation device only needs one charging and discharging circuit to realize the orderly charging and discharging operation of each power submodule, realizes the smooth starting and shutdown of the alternating-current excitation device, and reduces the hardware cost compared with the existing hardware scheme, reduces the volume of the excitation device, and effectively improves the economy, safety and stability of the system.

The utility model relates to mahjong machine field discloses push and lift tile device and automatic mahjong machine, including frame, install the tile board that lifts, driver and the carousel with the push tile head on the frame, and driver drives the swing of lift tile board and drives carousel rotation push tile, still install the sliding block and the swing bar on the frame, the cam is installed to the one end of sliding block, and driver drives the rotation of cam through gear transmission, and the cam drives the linear motion of sliding block on the frame, the other end of sliding block is connected with swing bar and drives its swing, and the swing bar swings and drives the lift of tile board, through single driver, carousel rotation push tile and lift tile board swing lift can be realized simultaneously, need not additionally add power component, reduce the number of power source, reduce the hardware cost and assembly complexity of overall device, avoid the cumbersome problem of multiple power source coordination control simultaneously, make power output more concentrated and efficient.

The application discloses an integrated high-speed three-channel cylindrical surface appearance detection device, which comprises a driving assembly, a feeding phase change cam assembly, a 2-to-3 cam mechanism, a cylindrical surface camera assembly, a cylindrical surface detection cam assembly, a 3-in-1 cam mechanism and a 3-in-1 discharging assembly. The feeding phase change cam assembly, the 2-to-3 cam mechanism, the cylindrical surface detection cam assembly, the 3-in-1 cam mechanism and the 3-in-1 discharging assembly are arranged in sequence along the conveying direction of the battery. The cylindrical surface camera assembly is located above the cylindrical surface detection cam assembly and is used for taking pictures of the cylindrical surface of the whole battery. The driving assembly is drivingly connected with the above-mentioned assemblies. The application realizes the conversion of the 2-row equidistant and continuous input battery flow into the 3-row equidistant and continuous conveying and cylindrical surface rotating detection battery flow. After the cylindrical surface detection is completed, the battery flow is combined into one row of battery flow for subsequent end surface detection.

The application relates to a cab height adjusting method for a commercial vehicle, which comprises the following steps: acquiring the real-time telescopic amount of a lifting oil cylinder of a cab through a displacement sensor installed on the lifting oil cylinder, acquiring the real-time included angle between the axis of the lifting oil cylinder and a horizontal plane through an inclination sensor installed on the lifting oil cylinder; calculating the height variation amount of the cab relative to a chassis based on the real-time telescopic amount and the real-time included angle, and calculating the height pressure adjusting amount of four air bags based on the height variation amount. The displacement sensor and the inclination sensor are integrated on the original lifting oil cylinder, so that the cab height information can be indirectly acquired, a special height sensor does not need to be additionally arranged, the number of sensors and the wire harness arrangement are reduced, the system hardware cost and the installation complexity are reduced, the active electric control adjustment of the cab posture can be realized without greatly reforming the whole vehicle framework, the system integration degree is high, and the application is easy to popularize and apply on the existing vehicle platform.

The present application relates to a kind of multi-sensor wideband sound source positioning method suitable for deep-sea reliable sound path environment, utilize the same sound source D-SR time delay measurement value observed by deep-sea large depth multi-sensor to carry out three-dimensional positioning to sound source.In the first stage, based on the position of each sensor, depth, observed D-SR time delay and water body sound velocity profile information, a matrix and a vector are constructed, there is a linear relationship between the two and the position of sound source, the least square method is used to solve this linear relationship, obtain the estimation result of the two-dimensional position of sound source, based on two-dimensional position estimation result, the depth estimation result of sound source is obtained using depth solution formula;In the second stage, based on the three-dimensional position of sound source estimated in the first stage, the D-SR time delay value of the position of each sensor is predicted, then an auxiliary variable matrix is constructed, and new sound source two-dimensional horizontal position estimation result is obtained according to the rule of auxiliary variable estimator (IVE), and finally the final sound source depth estimation result is obtained according to depth solution formula.

This invention discloses a method for restoring turbulent degradation images based on complex amplitude detection, belonging to the field of computational optics imaging technology. This method constructs a computational optics imaging system without a hardware correction unit. It utilizes a wavefront sensor and an imaging sensor to simultaneously acquire Hartmann images and target degradation images. A computational unit performs wavefront complex amplitude reconstruction and aberration correction. Based on this, a physically constrained end-to-end neural network architecture is designed. By reconstructing the wavefront complex amplitude, it achieves accurate mapping and inference from the Hartmann image to the point spread function of the imaging system. Finally, a multi-scale deconvolutional network is combined to complete high-quality restoration of the turbulent degradation image. This invention eliminates the need for a hardware corrector, overcomes the physical limitations of traditional adaptive optics, effectively solves the problem of insufficient point spread function accuracy, and enables time-delay-free and highly efficient turbulent image restoration under low-cost conditions.

The application provides a charger assembly, a vehicle charging method and a vehicle, and belongs to the technical field of automobiles. The core is that the on-off execution unit of the main circuit, namely, the positive electrode relay and the negative electrode relay, is accommodated and integrated in the vehicle-mounted charger assembly. On the physical connection, the passage from the battery positive electrode to the positive electrode of the charging pile through the positive electrode relay and the passage from the battery negative electrode to the negative electrode of the charging pile through the negative electrode relay are formed, so that the charging control logic is internalized in the charger assembly. Since the relays are no longer scattered in the battery or the external distribution box, but are uniformly designed and packaged as internal components of the charger assembly, the development of the external distribution box and the complex wire harness is avoided at the physical level, the number of external connectors and wire harnesses is reduced, the topology of the whole vehicle is effectively simplified, the development cycle of the whole vehicle is shortened, and the hardware cost of the whole vehicle is reduced.

The present application relates to the field of computer storage and optical communication technology, and discloses a memory and storage controller long-distance interconnection method and system based on optical communication. The method encapsulates high-speed, medium-speed and low-speed signals between the memory and the storage controller, converts them into optical signals, and then transmits them over optical fibers. The receiving end converts the optical signals back into electrical signals through an optical module, and restores the original signals. The system includes a sending end and a receiving end, both of which contain special circuit modules and optical modules to complete signal encapsulation, conversion, transmission and recovery. The present application can effectively solve the problem of low-speed signals that cannot be directly transmitted over optical fibers, is suitable for various types and protocols of memories, and supports long-distance memory interconnection in cross-cabinet distributed storage and large-scale computing environments. The system has a long transmission distance, strong anti-interference ability, can reduce hardware complexity and cost, and improve the reliability and expandability of the system.