132results about How to "Ensure correct execution" patented technology

The invention belongs to the technical field of data security, and discloses a data management method based on a data resource security identification level, and the method achieves the automatic and intelligent decision making: achieves the data classification and the automatic identification of the security level through a machine learning and deep learning model, remarkably reduces the manual intervention, and improves the efficiency and accuracy. And dynamic real-time performance: in combination with a risk assessment model, the system can detect abnormal behaviors in real time and dynamically adjust a security policy in a data flow process, so as to ensure that the sensitive data is properly protected in different scenes. And security and compliance: a log auditing module ensures the traceability of all data operations, improves the response capability to potential risks through an anomaly detection algorithm, and provides effective compliance guarantee for data security governance. And the system can be compatible with various data sources, supports configuration and execution of various security policies, and is suitable for data security management requirements of different industries (such as finance and medical treatment).

An object of the invention is to provide a probe card capable of properly performing a measurement. A probe card according to the invention includes: probes 100 shaped to allow vertical elastic deformation; a supporting substrate 200 with the probes provided on the lower surface thereof; a main substrate 300 positioned opposing the upper surface of the supporting substrate 200; an intermediate substrate 400 disposed between the supporting substrate 200 and main substrate 300; a supporting member 500 that is a column-shaped member with one end thereof attached to the center of the supporting substrate 200 and the other end thereof attached to the intermediate substrate 400 and holds the supporting substrate 200 so that the supporting substrate 200 is inclinable; and elastic members for holding the supporting substrate 200 so that the supporting substrate 200 is in a horizontal position relative to the main substrate 300, which are provided between the supporting substrate 200 and main substrate 300.

The invention relates to the technical field of building engineering, and discloses a building robot space positioning method based on a BIM model, which comprises the following steps: S1, establishing the BIM model of a building, and in the construction process, integrating real-time sensor data of a building site, and dynamically updating the BIM model to reflect the real-time state of a construction environment; and S2, setting multiple reference points at the construction site, performing coordinate calibration on the reference points by using a total station or a GPS system, aligning a coordinate system of the BIM model with a coordinate system of an actual construction site, and matching a building structure in the BIM model with a building structure in an actual environment through the reference points. Through the fusion of detailed building geometric information and real-time sensor data in the BIM model, the system can realize high-precision space positioning, the pose of the robot is corrected in real time by using an extended Kalman filtering algorithm and a multi-source data fusion technology, and the operation efficiency and the construction precision are effectively improved.

The invention belongs to the technical field of humanoid double-arm robots, and particularly relates to an intelligent grabbing method of a humanoid double-arm robot, which comprises the following steps: acquiring an RGB image and a depth image of a target object through a global camera, performing alignment processing, detecting the target object by using a coarse positioning model, and determining pre-grabbing positions of double arms; global point cloud data in a working space are obtained in real time through a global camera, and path planning is performed by adopting an improved artificial potential field algorithm, so that two arms respectively reach pre-grabbing positions; acquiring an RGB image and a depth image of a target object through a double-arm tail end camera, performing alignment processing, detecting the RGB image of a target camera by using a fine positioning model, and finding a feasible target grabbing attitude by using a pre-trained 6D grabbing attitude prediction model; and the two arms are controlled to execute the grabbing action according to the target grabbing posture and placed at the preset position. The method can adapt to various complex scenes, and diversified grabbing is achieved.

The embodiment of the invention provides a dexterous hand control method and device, an intelligent agent and a storage medium, and the method comprises the steps: obtaining sensor data, preprocessing the sensor data, obtaining input information which comprises environment information and state information of a dexterous hand, inputting the input information into a cerebellum model, and obtaining a corresponding control instruction, the cerebellum model comprises a trajectory planning model and a motion controller, the trajectory planning model is used for outputting a corresponding trajectory planning result according to the input information, and the motion controller is used for converting the trajectory planning result into a corresponding control instruction; the motion controller is obtained by combining a cerebellum model neural network and a whole body dynamic model based on a model predictive control algorithm, and performs driving control on an execution mechanism module of the dexterous hand according to a control instruction. According to the dexterous hand control method provided by the embodiment of the invention, the control flexibility and accuracy can be improved.

The invention relates to a target driving movement grabbing control method used in a multi-scene environment, and the method comprises the steps: inputting an RGB-D sampling sequence of multiple sub-scenes, and initializing a 3D Gaussian model of the whole scene through employing a sparse 3D point cloud with semantics; acquiring an approximate pose of the target by querying coarse-grained Gaussian, navigating the mobile chassis to approach the target, and narrowing a pose estimation range of the target to a corresponding sub-scene; in the moving process, fine-grained gauss are optimized through diffusion-based depth completion, and the accurate pose of the target is obtained; gaussian editing is conducted on the fine-grained Gaussian model, and the robot operation end point pose is obtained through Gaussian repairing; and according to the operation starting point pose and the operation end point pose of the robot, a robot mechanical arm is controlled to complete corresponding actions. Compared with the prior art, the method has the advantages that rough scene prior and fine pose estimation are combined, efficient and accurate multi-scene moving grabbing control can be achieved, and it is ensured that the robot can accurately execute tasks in the complex multi-scene environment.

The invention discloses a dance formation self-organization control method based on a robot group. The method comprises the following steps: S1, obtaining dynamic changes of light frequency, color and intensity through a spectrum camera; s2, judging an effective light source and an invalid light source, and removing the invalid light source to form a target light signal; s3, converting the optical signal into a digital signal through a photoelectric converter and a digital signal processor, and extracting the characteristics of the digital signal to form a characteristic instruction; s4, comparing the feature instruction with a predefined action matching database in real time, and outputting a robot action instruction; s5, analyzing the characteristics of the received digital signal, predicting an action instruction at the next moment, and generating the next action instruction in advance; s6, generating a robot action track by using a path planning algorithm; and S7, adopting a distributed control strategy, dynamically adjusting the motion track, and completing dance arrangement. According to the invention, dance arrangement of the robot group is controlled through light, and diversity of dance of the robot group is realized.

The invention provides a big language model training method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The training method of the large language model comprises the following steps: acquiring an instruction response data pair; wherein the instruction response data pair is composed of an instruction and a response generated by utilizing a large language model according to the instruction, and the response comprises a text of a preset field; extracting constraint information contained in the response from the response contained in the instruction response data pair; generating a training data set according to the response, constraint information contained in the response and an instruction corresponding to the response; and using the training data set to continuously train the pre-trained large language model to obtain a target large language model, and using the target large language model to generate a response according to the instruction. According to the method, the large language model capable of accurately executing the instruction with the complex constraint can be efficiently trained, so that the utilization rate of computing resources is effectively improved.

The invention discloses few-sample continuous learning with task-specific parameter selection. One embodiment of the present invention proposes a technique for performing a transducer neural network. The technique includes executing a first attention unit included in the transformer neural network to translate a first input flag into a first query, a first key, and a first plurality of values, wherein each value included in the first plurality of values represents a subtask associated with the transformer neural network. The technique further includes calculating a first plurality of outputs associated with the first input flag based on the first query, the first key, and the first plurality of values. The technique further includes performing a task associated with an input corresponding to the first input flag based on the first input flag and the first plurality of outputs.

The invention relates to the technical field of flat wire stator head twisting equipment control, and discloses a process calculation method and system of flat wire stator head twisting equipment and the head twisting equipment, and the method comprises the steps: obtaining a plurality of setting parameters of a head twisting process input by a user; calculating according to the plurality of setting parameters to obtain an operation result; inputting an operation result into a point set formula of each layer of the torsion head module to obtain a data set, wherein the point set formula comprises a parameter equation and a compensation equation of spatial displacement; and writing the data set into a control file of a preset path, and performing a head turning process on the flat copper wire after the flaring process based on the control file. According to the invention, the motion trail of the equipment is approximate to the motion trail of the copper wire bending point, the copper wire is prevented from being scratched due to large relative displacement between the head twisting die and the copper wire bending point, the process trail of the product equipment and the model changing calculation can be quickly carried out, the device can adapt to the production of flat wire products with different specifications, the production efficiency is improved, and the production cost is reduced. The processing time is reduced.

The invention relates to the technical field of operation planning, in particular to an automatic generation algorithm for a converter station maintenance site reintroduction and disconnection operation plan, which comprises the following steps of: mapping physical and functional connection relationships between equipment based on converter station equipment and a regional database, constructing an association graph for displaying the mutual dependency relationship of the equipment, and establishing a database; and obtaining an equipment association graph. According to the invention, by analyzing the connection relationship between the devices and accurately mapping the physical and functional connections between the devices, the accuracy of operation planning is enhanced, the faults and downtime caused by wrong connections are reduced, and by evaluating the importance of the device nodes and analyzing the fault frequency, the reliability of operation planning is improved. Maintenance tasks of key equipment and a high fault area can be preferentially arranged, the maintenance sequence is dynamically adjusted in real time, conflicts caused by resource limitation are avoided, the maintenance progress is smoother, an operator can obtain a clear operation guide on an interactive interface, and accurate execution of field operation and personnel safety are ensured.

The invention relates to the technical field of communication, and discloses a voice scheduling unified platform construction method and system based on SDH / PTN, and the method comprises the steps: deploying a soft switching platform and a server, configuring a soft switching data network based on an SDH / PTN transmission system, configuring an IP interface gateway on an existing stored program control exchange, and enabling the IP interface gateway to be in butt joint with the soft switching platform, thereby achieving voice intercommunication; the method comprises the following steps of: accessing a scheduling soft switching system in an IP (Internet Protocol) mode, running a scheduling service on a dual-mode scheduling desk in dual networks, and arranging an IP phone or an IAD (Inter-Access Device) analog access gateway and an analog phone at a corresponding site; through an NTP time service mode, time unification of all devices in program-controlled switching and soft switching is realized. A soft switch platform is interconnected with an emergency satellite communication network, an IP telephone is deployed through a satellite data network, the soft switch platform is intercommunicated with other telephones and a public network PSTN, and conference and video call functions based on the satellite network are realized. According to the method, the overall performance of the voice scheduling exchange system is improved, and a safer, more stable, more efficient and more flexible communication environment is provided for users.

The invention relates to the technical field of ancient building construction, in particular to an antique wood component processing system and method based on a BIM technology. In order to solve the problems of large error, high cost, long construction period and the like of manually processed wood components in the prior art, a building model establishment module is arranged for establishing a building information model required by a user, a wood component parameterization module is used for generating a wood component digital model, and a processing technology matching module is used for generating a processing technology scheme; the machining process simulation module is used for conducting machining simulation and optimization on wood components, the numerical control machining control module is used for conducting actual machining on the wood components according to virtual simulation results, and the virtual assembly module is used for conducting virtual assembly inspection on the wood components. And the processing optimization feedback module is used for judging an optimization target of the wood component and feeding back the optimization target to the processing technology simulation module. Through mutual cooperation of the modules, powerful technical support is provided for protection, repair and innovation of the pseudo-classic architecture.

The invention discloses a regulation and control strategy, equipment, medium and system for a super-capacity coupling thermal power generating unit, belongs to the technical field of power grid dispatching, and aims to improve the response precision and efficiency of the unit to a frequency modulation instruction. According to the strategy, firstly, a received frequency modulation instruction is decomposed into a plurality of sub frequency modulation instructions with the same time length, so that the output adjustment process of a unit is managed more meticulously. Then, in each sub frequency modulation instruction period, a response error is calculated according to the current sub instruction, the actual output of the unit and the super-capacity output condition; based on the error, unit output of the next time period is adjusted and corrected in real time, so that it is ensured that unit output can closely follow the change of the frequency modulation instruction until the whole frequency modulation instruction is executed. The strategy effectively improves the flexibility and accuracy of the thermal power generating unit in the process of participating in the power grid frequency modulation by finely decomposing the frequency modulation instruction and dynamically adjusting the unit output.

The invention belongs to the technical field of robot motion control, and relates to a motion error compensation method and system for a surgical robot, and the method comprises the steps: collecting, processing and analyzing the actual motion data of each constraint point and tail end point of a mechanical arm, comparing the actual motion data of each constraint point and tail end point with standard motion data, and calculating the motion error of the surgical robot. Obtaining constraint points and end points which are not in the error range; kinematic models are constructed based on the constraint points and the tail end points of the two mechanical arms, and real-time error compensation amounts of the constraint points and the tail end points are obtained; performing inverse kinematics solution on the corresponding real-time error compensation amounts of the constraint point and the tail end point of the corresponding mechanical arm based on the kinematics model to obtain an inverse kinematics solution result; the inverse kinematics solving result is converted into the corresponding control command, the corresponding action is executed based on the corresponding control command, the difference between the actual action of the mechanical arm and the action corresponding to the control command is reduced, and the surgical action execution precision is improved.

The invention discloses a robot motion control system and control method based on machine vision, relates to the technical field of machine vision, and provides effective data input for an error calculation and correction module by extracting a local feature point set Fp during operation of the system. And the error calculation and correction module calculates an image translation error Et and a rotation error Er based on the feature point set Fp, obtains a translation vector T and a rotation error R by correcting the image position, generates a complete panoramic image P, and provides reliable visual information support for subsequent target positioning and path planning. The motion control and target positioning module is combined with a panoramic image P and a positioning algorithm, so that the target positioning precision is improved, the path planning is optimized, the problems of image dislocation, positioning errors and path instability in a traditional method are solved, and the adaptive capacity and task execution efficiency of the robot in a dynamic environment are greatly improved.

The embodiment of the invention discloses an operation method of a multifunctional test system of a vacuum angle valve. The multifunctional test system of the vacuum angle valve comprises a control module, a position sensing module, a pressure adjusting module and a negative pressure generating module. The operation method comprises the steps that position information of the position sensing module is obtained through the control module, the pressure of the gas control end or the pipeline inlet of the angle valve to be measured is adjusted through the pressure adjusting module, and the negative pressure of the pipeline outlet of the angle valve to be measured is adjusted through the negative pressure generating module. At least two of the stroke, the response time, the control pressure, the fatigue test and the withstand pressure of the to-be-tested angle valve are tested. According to the operation method provided by the embodiment of the invention, multiple tests can be performed on the to-be-tested angle valve so as to meet the scene requirements of frequent tests and debugging in the research and development process of the pneumatic angle valve.

The invention discloses an unmanned aerial vehicle control system and method, and relates to the technical field of unmanned aerial vehicle control, the control system comprises a ground control end and an unmanned aerial vehicle end, the ground control end comprises a light source module, a signal coding unit and a light beam directional emission module, the unmanned aerial vehicle end comprises a photoacoustic receiving module, a signal decoding and processing unit and a flight control execution module, the system detects emitted sound waves through a photoacoustic effect, reversely deduces characteristic information of the intensity and frequency of optical signals, uses the optical signals as an information carrier, and performs photoacoustic conversion and acoustic signal processing, so that the flight control performance of the unmanned aerial vehicle is improved. According to the system, remote control over the unmanned aerial vehicle is achieved, meanwhile, a photoacoustic conversion and encoding and decoding mechanism is introduced, high-precision and long-distance transmission of control instructions of the unmanned aerial vehicle is achieved, and therefore the capacity of a receiving end for capturing weak signals is enhanced, and the system can flexibly deal with the signal attenuation problem under different illumination conditions and flight environments.

The invention belongs to the technical field of energy control, and particularly relates to a park energy control method and system, computer equipment and a storage medium, and the method comprises the steps: obtaining energy use data in a park in real time, and recording an equipment operation state corresponding to the energy use data, inputting the energy use data and the equipment operation state into a preset energy analysis model to obtain an energy analysis report; according to the energy analysis report, obtaining equipment demand information and equipment operation characteristics of different equipment in the park, and generating energy scheduling strategies corresponding to the different equipment; and according to the energy scheduling strategy, a corresponding energy scheduling instruction is generated by combining a preset intelligent control algorithm, and according to the energy scheduling instruction, equipment response is monitored in real time and control parameters are adjusted. The method has the effect of improving the energy distribution efficiency in the park.

The invention discloses a variable code rate pseudo code distance measuring device and a distance measuring method, and mainly solves the problem of super-high altitude tracking error height of a fixed code rate pseudo code distance measuring device. Comparing the height values captured twice: if the absolute value of the height difference value captured and solved twice continuously is within a pre-value range, judging that the signal is a normal signal, and outputting an effective height to the outside; if the absolute value of the height difference value obtained through continuous two times of capturing and resolving is within the superaltitude pre-value range, it is judged that the distance measuring equipment conducts internal tracking, and invalid height is output outwards; and if the absolute value of the height difference obtained by two continuous capturing and resolving is in other conditions, judging that the distance measuring equipment performs abnormal tracking, and continuously searching to ensure that the distance measuring equipment outputs normally during super-high-altitude tracking. The method can prevent the false tracking height of the pseudo code ranging equipment, improves the interference suppression capability of the ranging equipment, and can be used for measuring the flight height in aerospace crafts or radar equipment.

The invention discloses a master station type cross-station one-key sequential control method and system based on a centralized control system, and relates to the technical field of power system automation and control, and the method comprises the steps: collecting power grid operation data and equipment state information in real time through various sensors of the centralized control system, carrying out the multi-modal data fusion, and carrying out the multi-modal data fusion through the fused data, the operation process is monitored in real time, and possible errors or abnormal conditions are detected; analyzing the collected data, constructing a prediction model, and intelligently generating an optimal operation strategy and an execution sequence according to a real-time power grid state and an operation history; operation and maintenance personnel start sequential control operation through one key, and the system automatically executes corresponding operation steps according to the operation order. Through the one-key starting function, operation and maintenance personnel can quickly select and execute the pre-generated operation order, and a tedious manual process in traditional operation is avoided. The control instruction automatically generated by the system is analyzed according to the operation order, so that the execution of the operation steps is quicker and more accurate.

The invention discloses a spacecraft task scheduling method and system, electronic equipment and a storage medium, and relates to the technical field of spacecraft task scheduling, and the method comprises the steps: calculating and obtaining a total score of a preset to-be-scheduled spacecraft task according to a criterion layer weight vector and a factor layer score vector corresponding to the preset to-be-scheduled spacecraft task, and performing priority ranking on all the to-be-scheduled spacecraft tasks according to the size of the total score of each to-be-scheduled spacecraft task, and scheduling and executing all the to-be-scheduled spacecraft tasks according to a priority ranking sequence. Based on the fuzzy hierarchical comprehensive analysis, the accuracy and interpretability of the priority evaluation of the spacecraft tasks can be improved, the priority ranking sequence is more accurate and reliable, and accurate scheduling and execution of the spacecraft tasks can be realized.

The invention provides a high-precision and stability implementation method for PLCOPEN motion control, and the method comprises the following steps: S1, separating a user control logic task and a motor control service task to different threads for execution in a process of loading a PLC application program; s2, providing a motor motion control service on a motor control task by taking the function block as a unit; and S3, the user control logic executes the motion control function block. According to the PLCOPEN motion control high precision and stability realization method provided by the invention, the user control logic task and the motor control service task are separated to different threads for execution, so that the influence of the user logic execution time change on the motor control instruction issuing time can be avoided; through the separation, the motor control service task can be executed more stably and accurately, the control precision deviation caused by the instruction time problem is reduced, it is ensured that the motor motion can be carried out strictly according to expectation, and the control precision of the whole system is effectively improved.

The invention discloses an optimization method for long-term and short-term rock dumping in a mining process. The method comprises the following steps: 1, determining a long-term rock dumping plan, and determining related conditions of the long-term rock dumping plan according to actual production requirements; 2, determining related conditions of the short-term plan of the shift; 3, constructing a short-term rock dumping optimization model of the shift; 4, solving the optimization model by adopting an evolutionary algorithm, and generating a shift short-term plan; 5, generating a reasonable vehicle-shovel ratio according to the short-term planned transportation volume of the shift; step 6, configuring a corresponding number of transport vehicles and shovel loading equipment according to the vehicle-shovel ratio, then executing the short-term plan of the shift, and counting related data after actual execution; and step 7, judging whether the long-term plan is completed or not according to the accumulated transportation volume and the accumulated working time counted by the related data, and if not, skipping to the step 2 to carry out the short-term plan stage of the next shift. The method has the characteristics of systematicness and flexible adaptability.

The invention discloses an integrated control system for electric modification of an electric tractor, and belongs to the technical field of agricultural machinery. The system comprises a signal processing module, a health state evaluation module, a control decision module, an execution module and an optimization module, all the modules realize data interaction through the Ethernet, and the system is adaptive to heterogeneous hardware integration requirements after electric modification of a traditional fuel tractor. According to the invention, the health state evaluation module and the prediction model realize quick response and graded protection of high-voltage insulation, battery overheating and actuator fault scenes through clear quantification, and realize quantitative scoring of the health degree in the limitation of temperature, load and attitude coupling complex scenes; meanwhile, the time domain and frequency domain characteristics of the signals are extracted to provide a quantitative basis for evaluation, different actions of power reduction, speed limiting and emergency shutdown are triggered according to the health degree state, the situation that operation efficiency is affected by excessive protection is avoided, early warning can be conducted in the early stage of a fault, rapid protection can be conducted when the fault occurs, and the running safety and reliability of the tractor are improved.

The invention discloses a high-dimensional seismic data denoising method and device. The method comprises the following steps: segmenting a high-dimensional seismic data volume into a plurality of data blocks by using a sliding window; taking the data block with the corresponding de-noised data as a sample to obtain a sample set, and training a Transform model to obtain a de-noising model; and inputting a plurality of data blocks obtained by segmenting the high-dimensional seismic data volume into a denoising model, and obtaining a denoised seismic data volume of the high-dimensional seismic data volume according to an output result of the model. According to the method, intelligent suppression of high-dimensional seismic data noise can be realized by using high-dimensional features of seismic data based on a deep neural network Transform model, and the denoising precision is high.

One or more embodiments of the present specification provide a hot upgrade method, apparatus, device, distributed system and storage medium, the hot upgrade method comprising: determining a first function to be replaced, the first function comprising a first sleep instruction, the first sleep instruction being used to instruct the processor to suspend execution of the first function; after determining that the first function is executed to the first sleep instruction, adding a first jump instruction to the function header of the first function, the first jump instruction being used to instruct the processor to jump to execute a second function used to replace the first function when executing the first function; the tail of the second function comprising a stack balancing instruction and a second jump instruction, the stack balancing instruction being used to instruct the processor to execute the second jump instruction after adjusting the size of the stack frame of the second function based on the size of the stack frame of the first function, the second jump instruction being used to instruct the processor to jump to execute the instructions of the first function after the first sleep instruction.

The present invention belongs to the field of intelligent construction, and provides a construction site waste management method and system, wherein various types of Internet of Things sensors are arranged on the construction site to collect real-time data of waste; the component ratio of the current construction site waste is determined based on the first model according to the real-time data; the parameters of the second model are adjusted based on the component ratio to improve the recognition weight and processing priority of the high-proportion components; and the construction site waste is sorted according to the instructions generated by the second model. The above scheme can improve the efficiency of sorting construction site waste.

The embodiment of the invention provides a data processing method and device, electronic equipment, a storage medium and a program product, and is at least applied to the field of cloud technology and the field of node planning, the method comprises the following steps: determining a plurality of data dimensions corresponding to a node planning task and a data acquisition channel corresponding to each data dimension; acquiring to-be-analyzed data under the data dimension through the data acquisition channel corresponding to each data dimension; performing data scoring processing on the to-be-analyzed data under each data dimension to obtain a data scoring result under the corresponding data dimension; performing score fusion processing on the data score results under the plurality of data dimensions to obtain a fused score result; and in response to the score display operation, displaying at least one of the data score result and the fusion score result. Through the method and the device, an algorithm can be designed for data under different data dimensions, and overall calculation and scoring are automatically performed, so that planning and layout of nodes are guided through a quantifiable means.

The present invention discloses a honeycomb composite plate processing, cutting and positioning device, which belongs to the field of honeycomb composite plate processing, including a frame and a rotating roller, wherein the rotating roller is rotatably mounted on the inner surface of the frame near the lower end; a first motor, wherein the first motor is mounted on one side outer surface of the frame; a screw rod, wherein one end of the screw rod is fixedly connected to the first motor, and the end of the screw rod away from the first motor is rotatably connected to the inner side surface of the frame. The present invention can realize the precise processing of honeycomb panels using ultrasonic cutting technology, and at the same time, during the cutting process, the incision area and the part to be cut are subjected to refrigeration treatment to improve the hardness of the foam glue, effectively prevent the adhesion of the incision edge, ensure the smoothness and efficiency of the cutting process, and carry out targeted refrigeration at the incision, which can significantly reduce the adhesion problem of the foam glue caused by high temperature softening, and avoid the problem of uneven incision or mutual adhesion after cutting.