226 results about "Configuration space" patented technology

The invention discloses an extension equipment function configuration method and device, computer equipment and a storage medium, and relates to the technical field of data processing. According to the method, a hardware and firmware collaborative dynamic configuration framework is constructed, and a receiving queue is adopted at an extension equipment end to trigger a central processing unit firmware processing mechanism; in combination with virtualization design of a shadow configuration space and a shadow register, dynamic reconstruction of configuration parameters and an address mapping strategy during operation is realized; a host end supports configuration space access, base address register remapping and memory data transmission interaction through a transaction generation and routing mechanism driven by an event type. Hardware solidification limitation of traditional extension equipment is broken through through software and hardware decoupling design, the problems that function extension capacity is insufficient, resource dynamic allocation is difficult and protocol updating and virtualization scenes cannot be adapted are solved, and the technical effects of improving configuration reconstruction efficiency and address space utilization rate and supporting virtual function creation are achieved. And the adaptability of the equipment in cloud computing and edge computing environments is enhanced.

The invention relates to the technical field of surgical robot motion control, and discloses a surgical robot motion planning method based on a diffusion model, and the method comprises the steps: obtaining obstacle point cloud data, an initial posture and a target posture in a surgical environment; encoding the obstacle point cloud data into a potential space, and combining the encoded information with the initial attitude and the target attitude into a condition code; a Transform structure of an encoder is adopted to replace a U-Net structure in a traditional diffusion model, and the diffusion model is trained through forward diffusion and reverse denoising processes; in training, using a comprehensive loss function to optimize model performance, combining configuration space loss, geometric task space loss and collision loss, and introducing physical constraints to ensure that the trajectory conforms to kinematic characteristics and avoid collision; and in the operation task, generating a motion track based on the trained diffusion model. According to the invention, the motion planning efficiency and safety of the surgical robot in a complex environment can be improved.

The invention discloses a system and a method for dynamic combination memory resource allocation of a multi-level exchanger, and relates to the technical field of computers, which comprises the following steps: dynamically acquiring and analyzing type data of a target configuration space when a server is started, identifying a first hardware resource connected with a current peripheral interconnection link by an identification engine according to the type data, and when the first hardware resource comprises the multi-level switch, identifying the second hardware resource connected with the multi-level switch, and determining which devices need to be subjected to resource reservation according to the identification result of the second hardware resource without checking each possible connection condition one by one. And the first memory resource is allocated for the multi-level switch and the second hardware resource based on the second identification result, so that the situation that when the peripheral interconnection link has too many switches, the server starts to consume too much time for resource allocation is avoided, the time consumption during server starting is reduced, the starting efficiency of the server is improved, and the user experience is improved. And the stationarity and the stability of memory resource allocation are further ensured.

The present approach similarly combines task and motion planning, but does so without symbolic representations and begins with simpler tasks than other models in such domains can handle. Unlike prior approaches, the present approach does so in continuous action and state spaces which require many precise steps in the configuration space to execute what otherwise is a single output token such as “pick up” for discrete problems.

The invention discloses a resource processing method and electronic equipment, and relates to the technical field of resource management, and the method comprises the following steps: in the starting process of the electronic equipment, analyzing a group of specified registers indicated by configuration space information of connected equipment in a plurality of connected equipment, the method comprises the steps of obtaining resource information of a plurality of connected devices, obtaining resource configuration information, and allocating specified resources to the connected devices in the plurality of connected devices based on the resource configuration information and the resource information of the connected devices in the plurality of connected devices. According to the resource allocation method and device, the technical problem of resource allocation mismatching caused by firmware information misidentification in the prior art is solved, and the technical effect of improving the accuracy of resource allocation is achieved.

The invention relates to the technical field of high-speed rail fault detection, and discloses an intelligent fault detection system for a high-speed rail. A data acquisition module of the system acquires a heterogeneous operation log data set, including vibration, temperature, current time sequence data and control signal data, of a high-speed rail core component in a preset monitoring period; the stability evaluation module performs multi-dimensional stability analysis on the data set to generate vibration, temperature and current stability indexes and signal integrity indexes; the detection configuration optimization module takes a multi-dimensional index as an index, performs self-adaptive search in a pre-constructed high-dimensional fault detection configuration space, and determines a dynamic detection step length; and the fault detection execution module drives the multi-sensor array to execute periodic detection based on the dynamic detection step length, generates a real-time monitoring data stream, and extracts abnormal features through a fault mode recognition engine. The system can comprehensively capture the operation state of the component, adaptively adjust the detection configuration, improve the fault detection accuracy and real-time performance, and guarantee the operation safety of the high-speed rail.

Provided in the embodiments of the present application are an interconnection link control method and apparatus, a nonvolatile readable storage medium and an electronic device. The method comprises: reading first device information of a target storage device from a specified configuration space of the target storage device, the target storage device being a storage device connected to a target processor on a server mainboard by means of a specified interconnection link, and the first device information being used for indicating the device type of the target storage device; when the target storage device being of a specified type is determined on the basis of the first device information, acquiring second device information of the target storage device, the second device information being used for indicating the specified interconnection link used for connecting the target storage device to the target processor; and enabling a volume management device (VMD) function of the target interconnection link indicated by the second device information, the VMD function being matched with the storage device of the specified type.

Method of sequential handling of a plurality of freight units by an end effector of a robotic system comprises training a neural network operable to bias a plurality of samples of a configuration space of the end effector. Deployment of the trained neural network involves sensing an arrangement of freight units in a scene based on an image of the scene from a sensor. A freight unit is chosen based on the at least one trained neural network. A starting pose of the robotic end effector as a means to pick the chosen freight unit is chosen; and a goal pose of the robotic end effector is chosen as a means to place the chosen freight unit. A motion of the robotic end effector is planned from the starting pose to the goal pose based on a biased plurality of samples. Then motion on the end effector is controlled based on the planning.

A method of grasp generation for a robot includes searching within a configuration space of a robot hand model for robot hand configurations to engage an object model with a grasp type. The method includes generating a set of candidate grasps based on the robot hand configurations. Grasping of the object model with the robot hand model is simulated in a physics engine using simulated grasps generated based on a given candidate grasp. A simulated grasp is assigned a score based on a response of the object model to an applied wrench disturbance when the object is engaged with the simulated grasp. The method includes generating a set of feasible grasps for the given candidate grasp based on the respective simulated grasps having a score above a score threshold at a target wrench disturbance.

Embodiments of the present disclosure provide a method and apparatus for reporting asset information, a non-transitory computer readable storage medium, and an electronic device. The method for reporting asset information includes: reading, in a case where a target device supports memory expansion, Serial Presence Detect (SPD) information of a designated memory bank mounted to the target device from a configuration space register of a Memory Expander Controller (MXC) of the target device by means of a Basic Input Output System (BIOS), wherein the target device is a device that supports a Computer Express Link (CXL) protocol, which is an open interconnection standard; and reporting, in a case where target SPD information has been read, the target SPD information to a Central Processing Unit (CPU) of the target device as system asset information by means of the BIOS.

The invention relates to the technical field of chip packaging, in particular to a PCIe (peripheral component interface express) equipment function number border crossing prevention method supporting ARI (automatic repeat interface). The hardware layer protection process is as follows: S1-1, hot plugging; s1-2, if it is detected that the equipment declarates to support ARI, the PCIe controller hardware circuit immediately sets an equipment number register to zero; s1-3, only allowing the PCIe controller of the system to read the configuration space unidirectionally during the low level period of the reset signal PERST #; the interception process of the driving layer is as follows: S2-1, in an equipment enumeration stage, an operating system drives to dynamically read an ARI capability register; s2-2, if the equipment declarates to support ARI, forcing an equipment number register to be equal to 0, and releasing an original equipment number bit space for function number expansion; s2-3, border crossing access is blocked; and S2-4, synchronizing the state register. Compared with the prior art, correctness of device function numbers is guaranteed through two dimensions of hardware register state solidification and driver layer access truncation, and'perception-free 'fault tolerance of the PCIe device under ARI / traditional mode switching is achieved for the first time.

The invention provides an electromagnetic driving system. In one embodiment, the electromagnetic drive system comprises: a) one or more magnetic robots located within a workspace; b) three independent mechanical arms, wherein each independent mechanical arm comprises a movable electromagnetic coil; c) a positioning system for tracking the one or more magnetic robots; the three independent mechanical arms are controlled through multi-objective optimization to ensure a coil configuration space capable of providing a magnetic field for manipulating the one or more magnetic robots in the working space.

The invention discloses a topology virtual mapping method and device for cross-domain access control, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the remapping of a configuration space of target equipment of a target switching chip, and generating equipment configuration information corresponding to each host domain; the target device comprises a downlink bridge device in the target switch chip and an endpoint device connected with the downlink bridge device; generating an access control service configuration table based on the equipment configuration information, and storing the access control service configuration table to a multifunctional shared port in the target switch chip; mapping the endpoint equipment to the lowermost layer of the virtual topological structure with the fixed stage number according to a depth-first rule so as to generate an independent topological structure of each host domain; determining a routing transmission path of the target message based on the access control service configuration table and the independent topological structure; the target message comes from the multifunctional shared port. In conclusion, the problem that hardware is difficult to solidify and judge is solved, and the system performance is improved.

The invention relates to the technical field of servers, and particularly provides a PCIe BAR space mapping method, system and device for a data stream processor and a medium, and the method comprises the steps: reading the configuration space information of a PCIe device, and determining the total size of a memory space needing to be used by the data stream processor based on the configuration space information; obtaining the size of a special memory of each computing core; determining the size of a DDR (Double Data Rate) memory area for task calculation according to the total size of the memory space and the size of the special memory; instantiating a static container for a special memory equipped for each computing core, and instantiating a dynamic container for the DDR memory area; and distributing different BAR spaces for the static container and the dynamic container. According to the method, through a dual-mode address mapping mechanism of the static container and the dynamic container, the key problem that a 32-bit PCIe BAR space cannot support super 4GB memory access of a data stream processor is solved.

The invention discloses a fault positioning method and a fault positioning device for double-control storage equipment, and relates to the technical field of storage equipment. Then, whether correctable errors and / or non-correctable errors exist in a configuration space of a peripheral component interconnection quick link of the double-control storage equipment or not is inquired by utilizing data of the pressure sensor so as to locate a fault, so that the double-control storage equipment can quickly distinguish whether the connection of a middle backboard is unstable or controller hardware fails; therefore, the fault diagnosis efficiency is remarkably improved, and the problem that the fault diagnosis efficiency of the current double-control storage equipment is relatively low is solved.

The invention provides a tower crane low-altitude path planning method, device and equipment based on configuration space, and relates to the technical field of path planning. According to the method, a configuration space composed of the variable-amplitude freedom degree of the tower crane, the rotation freedom degree of the tower crane and the self-rotation freedom degree of a hoisted object is constructed, an obstacle bounding box is generated and expanded and mapped to the configuration space, dangerous nodes are identified through quadtree division and collision detection, adjacent plane nodes are connected, and an optimal planning path is obtained through planning by using an A * algorithm. And the tower crane is operated to run according to the optimal planning path. The problems that in traditional path planning, the path is complex, operability is low, and self-rotation of the hoisted object is not considered can be solved, calculation efficiency and path precision are improved, operation cost is reduced, and the method is suitable for hoisting tasks with rotation requirements for the hoisting point and the target point.

The invention provides an asset information acquisition method and device, a server, a controller and a medium, and relates to the technical field of servers, and the method comprises the steps: transmitting a command frame in a predetermined protocol format to a switch supporting a management endpoint function through a side link; wherein the command frame is used for indicating a lightweight proxy service module solidified in switch firmware to execute the following operations: analyzing the command frame, and directly accessing a configuration space of downstream target peripheral component interconnection high-speed equipment according to an analysis result to obtain original asset information, converting the original asset information into asset information conforming to a predetermined protocol format, packaging the asset information in the predetermined protocol format in a response frame, and returning the response frame to the baseboard management controller; and receiving a response frame returned by the lightweight proxy service module, wherein the response frame comprises the asset information in the predetermined protocol format. According to the method and the device, the asset information is independently obtained based on the substrate management controller, and the dependence on a BIOS (Basic Input / Output System) and burning is avoided.

Provided in the embodiments of the present disclosure are a chip management network configuration method, a chip management network system, a computing device, a storage medium and a computer program product, which are applied to a target chip. The target chip comprises a plurality of different types of chiplets, each chiplet containing one or more modules and being configured with a management network configuration serial number, and the management network configuration serial number being configured on the basis of the type of the chiplet and its encapsulation position in the target chip. The chip management network configuration method comprises: acquiring architecture information of the target chip, at least comprising the management network configuration serial numbers configured for the chiplets; on the basis of the architecture information of the target chip, dividing a preset address space into a plurality of sub-configuration spaces; and, on the basis of the management network configuration serial numbers, allocating corresponding sub-configuration spaces among the plurality of sub-configuration spaces to the target chip and each chiplet in the target chip, wherein the sub-configuration spaces allocated to the modules contained in each chiplet are different.

The invention belongs to the technical field of robot path planning, and particularly discloses a robot path planning method based on large language model guidance, and the method comprises the steps: discretizing an environment space, and building a configuration space of a robot and an obstacle; calculating a collision area in real time and segmenting a free space into connected components; generating a prompt text; calling a large language model to analyze the text and outputting a recommended obstacle list; constructing a path tree; generating a new node; generating candidate paths based on new node backtracking, and allowing node poses to shift in a preset range through a tolerance verification mechanism; and when the target area is connected with the connected component, adding the path into the solution set library, and selecting an optimal solution according to a weighted cost function of a minimum path length and a total obstacle moving distance. The search strategy is optimized by using the semantic understanding ability of the large language model, the efficiency and adaptability of path planning in a dynamic environment are remarkably improved, and the method is suitable for scenes such as warehouse logistics and disaster rescue.

The invention discloses a reinforcement learning aided evolutionary algorithm for parameter optimization in algorithm configuration, which comprises the following steps of: performing parameterized definition on four core operators, coding all adjustable parameters, and constructing a unified parameter configuration space; then randomly initializing a configuration population, and inputting the configuration population into an optimization framework assisted by reinforcement learning; the framework is internally provided with an intelligent agent and is executed in each generation of iteration: operating an evolutionary algorithm according to parameter configuration and evaluating performance; the intelligent agent adaptively selects a predefined alignment strategy based on a population state, and guides mutation operation to generate a filial generation; performing environment selection and population updating based on performance evaluation; and finally, calculating rewards according to population performance, and training and updating the agent decision model. And after iteration to a termination condition, outputting configuration with optimal performance and a corresponding algorithm thereof. According to the method, an evolutionary algorithm search space is constructed through comprehensive parameterization, a reinforcement learning agent is introduced to adaptively process variable-length coding, and a double-layer optimization framework is adopted to efficiently search optimal algorithm configuration.

The invention belongs to the field of hoisting track planning, and particularly discloses a bridge girder erection machine double-hook collaborative hoisting track planning method considering space-time coupling constraint, which comprises the following steps: constructing a kinematic model of a bridge girder erection machine and a three-dimensional obstacle geometric model of a hoisting operation environment, and forming a multi-dimensional configuration space; generating a hoisting operation sequence according to the type attribute of the to-be-hoisted component; in the global path planning stage, a sampling-based global path planning algorithm is adopted to carry out search sampling in a multi-dimensional configuration space, and a double-hook kinematics cooperative constraint detection mechanism is implanted to obtain an initial collision-free path; in the local trajectory optimization stage, a trajectory smoothing model based on quadratic programming is constructed, and a smooth and synchronous time state trajectory is generated by minimizing jerk and introducing synchronization error hard constraint. The problems of space-time coordination and anti-swing control in double-hook hoisting operation are effectively solved, and the optimal balance of efficiency and safety is achieved.

The invention relates to the technical field of automatic control of food processing, and discloses an intelligent optimization method for forming and shaping tapioca pearls and a control system of the tapioca pearls. The system comprises a forming parameter acquisition module, a feature fusion processing module, an optimization strategy generation module and a shaping execution control module. Historical temperature, pressure and rotating speed data of a tapioca ball material are collected through a multi-source sensor, temperature, pressure and rotating speed characteristic parameters are determined through characteristic fusion processing, the parameters serve as indexes, a target optimization strategy is searched in a forming process configuration space, forming parameters are adjusted according to the strategy, and a target forming and shaping result is obtained through shaping effect judgment. Intelligent control over the tapioca pearl forming and shaping process is achieved, parameters can be dynamically adjusted according to material characteristics and production data, the tapioca pearl quality and production efficiency are improved, and the problems that in the prior art, parameter setting is not accurate, quality is not stable, and production efficiency is low are effectively solved.

The invention provides a PXE network card initialization method and device compatible with 64-bit addressing and a medium, and relates to the technical field of network card initialization, and the method comprises the steps: discovering a network card device; reading a PCI configuration space of the network card equipment, obtaining information of an extended ROM base address register, and mapping a network card Option ROM to a memory shadow region; when the access of the memory mapping input and output mode fails, the initialization code performs read-write operation on the hardware register through a self-defined capability structure in a PCI configuration space of the network card equipment; based on the successfully accessed hardware register, network card hardware initialization is completed, and a PXE protocol stack structural body is established in a memory; registering system firmware as PXE starting equipment, and entering a protocol interaction stage with a PXE server; according to the invention, smooth development of a subsequent network boot flow is guaranteed, and the deployment success rate and the system stability in a large-scale batch installation scene are improved.

The present invention relates to the field of industrial robot technology, and more particularly to an obstacle avoidance path planning method for an industrial robot, comprising: determining a configuration space for a welding task; determining a starting point and an ending point for the path planning task; determining a sampling range for the first and second external translation axis parameters of sampling points during the path planning process based on first and second external translation axis parameters of the starting and ending points, combined with a preset expansion amount; constructing a node tree with the starting and ending points as root nodes, respectively, and expanding the two node trees by performing a point search until the two node trees intersect. The present invention can implement high-dimensional freedom path planning for a dual welding robot with a gantry external device, and has good planning efficiency and stability.

The invention discloses a static and dynamic fusion low-overhead multi-thread optimal configuration prediction method and system. The method comprises the steps that key instruction counts are extracted from program intermediate representation of a target multi-thread program and normalized to form a static feature # imgabs0 #; sampling performance and energy consumption of a target multi-thread program when the target multi-thread program is executed in a small problem scale under default configuration and different key configurations on a target platform to form a dynamic characteristic # imgabs1 #; and the # imgabs2 # and the # imgabs3 # are spliced to form a static and dynamic fusion feature vector # imgabs4 #, and then a cross-scale optimal configuration prediction model is utilized to obtain prediction optimal configuration executed on a target platform by a target multi-thread program in a large problem scale. The method aims at solving the problems that an existing optimization method is high in high-dimensional configuration space exploration cost and heavy in large-problem-scale execution sampling burden, the aim of efficiently predicting optimal configuration in a cross-problem-scale mode is achieved, and meanwhile resource consumption and time cost in the optimization process are remarkably reduced.

The present application relates to the technical field of servers and discloses a server operation starting method and device, a server, and a storage medium. The method comprises: in a power-on self-test process of a server, on the basis of an external loading sequence, using a target configuration space to load an extended memory of each target external device; in response to detecting that the space of the target configuration space is insufficient, detecting the remaining space of another module in a preset addressing space; and in response to determining that the remaining space meets a demand space corresponding to the target configuration space, re-allocating the preset addressing space, to make the configuration space reallocated to an external device loading module be greater than or equal to the sum of the target configuration space and the demand space. According to the present application, when the configuration space of the external device loading module is insufficient, memory resources can be reintegrated on the basis of the use condition of the configuration space allocated to each module, it is guaranteed that limited memory resources can be utilized to the maximum extent, and the occurrence of an external device being unable to be used normally is reduced.

The invention belongs to the technical field of automatic sand blasting, and provides a mechanical arm sand blasting track generation method and system, a medium and a robot. The mechanical arm sand blasting track generation method comprises the steps that key process parameters of a sand blasting system are discretized in a layered mode; calculating the actual angle of each joint of the positioner; coordinates of spraying points are calculated; the joint angle of the mechanical arm is calculated, and the collision-free effective posture of the mechanical arm meeting the sand blasting process requirement is screened; a collision-free and process-feasible configuration space diagram is constructed, the vertex of the configuration space diagram is composed of all spraying points, and the edge of the configuration space diagram is composed of paths of the adjacent spraying points; and according to the collision-free and process-feasible configuration space diagram, an optimal path from a preset starting vertex to a target vertex is searched for and serves as a mechanical arm sand blasting track for optimizing the kinematics performance and the sand blasting process quality at the same time. The automatic level of sand blasting treatment, the consistency of treatment quality and the overall operation efficiency can be improved.

The present application relates to the technical field of servers. Provided are a method and apparatus for displaying a boot mode of a PCIE device, and a device and a medium. The method comprises: in a stage in which a BIOS initializes devices after a server is powered on, querying root bridge devices; determining PCIE devices under each root bridge device; when each PCIE device is in place, reading a first preset bit of a function list and a second preset bit of a PCIE function bit in a configuration space of the PCIE device; and on the basis of the first preset bit of the function list and the second preset bit of the PCIE function bit, displaying boot modes supported by each PCIE device under BIOS device options. Boot modes supported by a current in-place PCIE device can be displayed, so that a user can simply, quickly and visually determine the boot modes supported by the current in-place PCIE device, and thus determine the most suitable boot mode, thereby preventing problems, such as a PCIE device not being recognized, disk disconnection, card disconnection and system failure, caused by selecting an unsuitable boot mode.

The invention relates to the technical field of serial interfaces, and discloses a PCIe verification device and system, and the device comprises a bus conversion model unit, a register model unit and a synchronizer unit. The bus conversion model unit is used for receiving an access request sent for the verification component and converting the access request into a command in a specified format; the access request is used for accessing an extended configuration space of the to-be-tested device; the register model unit is used for generating a target expansion configuration space; the target expansion configuration space is used for storing each register value; the command in the specified format is used for accessing a target expansion configuration space; and the synchronizer unit is used for performing data synchronization on the to-be-tested equipment and the target expansion configuration space. According to the scheme, the verification compatibility can be improved while the accuracy of the verification result is ensured, so that each sub-layer can be verified in the development process of each sub-layer of the chip, and the verification convergence rate is improved.

The invention relates to the technical field of structure assembly, and discloses an ancient building digital building block education system, method and device, and the system comprises an operation interaction module which is used for receiving operation instructions of a user about the selection, assembly sequence and node connection mode of ancient building components, and converting the operation instructions into assembly action data recognized by the system; the modeling and constraint analysis module is used for constructing a three-dimensional configuration model of the components in a high-dimensional configuration space according to the received splicing action data, extracting tenon-and-mortise node information between the components, and establishing node constraint conditions for a contact position relationship and a rotation direction relationship between nodes; and the stability verification module is used for constructing a mechanical verification model based on the three-dimensional configuration model and node constraint conditions. Through mechanical verification modeling and a visual feedback mechanism, accurate stability evaluation and real-time operation guidance in the splicing process are realized, and teaching interactivity and splicing precision are improved.