583 results about "Loader" patented technology

The implementations herein disclose advanced systems and methods for integrating, analyzing, and reasoning over heterogeneous data at scale. In some implementations, the system comprises a synergistic data processing infrastructure featuring: a graph database core for unified data representation; specialized loaders for concurrent ingestion and processing of structured, unstructured, and time series data; a natural language reasoning engine leveraging large language models; and a multi-modal user interface.

The invention relates to the technical field of loader maintenance, and discloses an automatic auxiliary system for maintenance and carrying of a loader differential mechanism. A maintenance parameter acquisition module of the system acquires current pose deviation data and vibration spectrum characteristics of a differential assembly and clamping force distribution parameters of a maintenance tool clamp in real time to generate a maintenance parameter set; the pose compensation module generates a dynamic compensation vector sequence according to the pose deviation data and updates the compensation step length in combination with the vibration spectrum characteristics; the carrying path planning module generates a carrying track control point sequence based on the maintenance process time window constraint and the clamping force distribution parameters; and the execution control module activates the dynamic compensation vector sequence and generates a pose correction instruction when detecting that the pose deviation data exceeds a first activation threshold value, activates the carrying track control point sequence and generates a track correction instruction when the clamping force distribution parameter exceeds a second activation threshold value, and inputs the instruction to a maintenance mechanical arm execution unit.

The invention relates to a material stacking method, device and system, a loading machine, a storage medium and a program product. The material stacking method comprises the following steps: acquiring point cloud data of a material pile; projecting the point cloud data to a two-dimensional plane, and dividing the point cloud data into a plurality of grids; the height and the local volume of a corresponding point of each grid are calculated, and the local volume is the volume of the current grid; determining a plurality of shoveling points and a selection sequence of the plurality of shoveling points from the corresponding points of all the grids according to the height and the local volume of the corresponding point of each grid; and according to the selection sequence of the multiple shoveling points, the material piles of the loading machine are stacked. According to the method, the shoveling priority is optimized by combining physical characteristics (potential energy and volume density) of the material pile, and an efficient path planning algorithm suitable for the low dispersed material pile is developed, so that intelligent stacking of the low dispersed material pile based on two dimensions of potential energy and efficiency is realized.

The invention provides a hot updating method, system and equipment for an automation program of semiconductor equipment and a medium. The method comprises the following steps: dynamically loading a new version script code into an isolated runtime environment created by an application domain or a class loader through a reflective API (Application Program Interface) so as to isolate new and old codes. And performing preheating initialization on the new code in an isolated environment, wherein the preheating initialization comprises execution of an initialization function and simulation of a production request test. After preheating is completed, a new request of the production environment is routed to the new version to be processed through atomic switching operation, and meanwhile, the current running version continues to complete existing in-process affairs. According to the method, shutdown is avoided through dynamic loading and isolation, stability is improved through preheating initialization, new requests and in-process transactions are considered in atomic switching, non-shutdown updating of the automatic program of the semiconductor equipment is achieved, production interruption is effectively eliminated, and the equipment utilization rate and operation and maintenance flexibility are improved.

The invention provides an electronic design automation simulation system-on-chip double-rate synchronous dynamic random access memory verification method and verification system, a test device and computing equipment, the method is applied to a startup program, and the method comprises the following steps: obtaining a test case designed according to the characteristics of a double-rate synchronous dynamic random access memory needing to be verified; running a first-stage boot loader; running a second-stage boot loader, and completing initialization of the double-rate synchronous dynamic random access memory; running a third-stage boot loader, loading the test cases in sequence, and carrying out electronic design automation simulation verification; and outputting a verification result through the central processing unit to complete the characteristic verification of the double-rate synchronous dynamic random access memory. According to the technical scheme of the invention, the complexity of DDR verification can be reduced, and high-efficiency DDR verification is realized.

The invention discloses a system recovery method and system. The method comprises the following steps: configuring an environment variable partition; network rescue server parameters are pre-stored in the environment variable partition, a first-stage starting command, a second-stage starting command, a third-stage starting command, a network rescue command and a main starting command are defined, and the main starting command initially points to the first-stage starting command; starting for the first time, reading and executing a first-stage starting command from the environment variable partition by the universal boot loader; after execution of the first-stage starting command fails and a system is triggered to be restarted, the universal boot loader reads the updated main starting command from the environment variable partition, and the second-stage starting command and the third-stage starting command are executed in sequence; and when the third-stage starting command fails, the universal boot loader executes the network rescue command, downloads a recovery file from the network rescue server and repairs the system.

The implementations herein disclose advanced systems and methods for integrating, analyzing, and reasoning over heterogeneous data at scale. In some implementations, the system comprises a synergistic data processing infrastructure featuring: a graph database core for unified data representation; specialized loaders for concurrent ingestion and processing of structured, unstructured, and time series data; a natural language reasoning engine leveraging large language models; and a multi-modal user interface.

The invention relates to a boot loader linking method and device, an execution method and device, a chip, a network interface card, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: segmenting a boot loader to obtain target program fragments; all the target program fragments are linked to all first RAM units in a first RAM space, and the addresses of all the first RAM units in the first RAM space are continuous; and linking the target program fragments in the first RAM units to second RAM units which are distributed in different address spaces during operation. According to the method, the target program fragment in the second RAM unit belongs to one program, and a complete Bootloader execution mirror image is formed, so that only one infrastructure is needed during execution, the repeated consumption of space and time is reduced, and the system efficiency is improved.

The embodiment of the invention provides an unmanned loader scheduling method and system, an industrial personal computer and a storage medium. The method comprises the following steps: determining a target hopper to be loaded from at least one hopper based on a specified scheduling mode; determining a plurality of material piles corresponding to the target hopper based on a preset mapping relation between hoppers and the material piles; obtaining point cloud data, collected by the unmanned loader through a visual sensor, of each material pile; for each material pile, determining a priority score of the material pile based on the point cloud data of the material pile; according to the priority score of each material pile, determining a to-be-fetched target material pile from the plurality of material piles; generating a scheduling task based on the information of the target hopper and the target material pile, and issuing the scheduling task to the unmanned loader; wherein the scheduling task is used for instructing the unmanned loader to take materials from the target material pile and unload the taken materials into the target hopper. According to the method, the intelligent degree of the unmanned loader during feeding operation is improved, so that the operation efficiency is improved.

The embodiment of the invention relates to the technical field of microcontrollers, and discloses an application program data updating method, which comprises the following steps of: performing partition operation on a storage module in a microcontroller to obtain a boot loading area, a data verification area, a first application partition and a second application partition; electrifying the system, and running a boot loader; receiving an updating request sent by an upper computer, and determining a current running partition and a target application partition in the first application partition and the second application partition; if the program updating command does not exist, skipping to the specified application program from the boot loader to run; if an application program updating command is monitored in the boot loader or the application program of the current running partition, program updating operation is conducted on the target application partition. According to the application program data updating method provided by the embodiment of the invention, the application program to be operated is determined by performing data redundancy check on the application operation check area, and the Flash area to be updated is determined on the basis of the application program to be operated.

The invention discloses a memory resource allocation processing method and device, a storage medium and a product, and relates to the technical field of computers, in the stage that a server is started to enter an operating system, whether memory reallocation is needed or not is accurately judged by monitoring the matching degree of total memory resources and all link interface requirements in real time, and the operation efficiency is improved. Unnecessary resource adjustment overhead is avoided; priority division is carried out on the link interfaces based on the hot plug function state, the memory resource requirement of the first link interface of the key equipment is guaranteed preferentially, and the problem that the equipment cannot be started due to insufficient resources is greatly solved. Besides, through intelligent management of configuration parameters of the boot loader, the original allocation mode can be stably used when the memory does not need to be reallocated, so that the system compatibility is ensured, and the overall operation stability is enhanced.

The invention discloses an SVDD-based operation condition classification method and system for autonomous shovel loading of a loader, and the method comprises the steps: collecting the autonomous operation data of the loader under different operation conditions, and carrying out the preprocessing of the autonomous operation data, so as to extract a shovel loading operation segment and the characteristics of the shovel loading operation segment; training an SVDD model under each working condition by using the features, obtaining the center and radius of a hypersphere of each working condition grade category, and constructing an SVDD category incremental learning model; when new operation data are input, the model can judge whether the data belong to known working conditions or not; if yes, calculating a support function value to determine a specific working condition grade; and if not, identifying the working condition as a new working condition and updating model parameters. According to the method, by collecting and analyzing the operation data of the loading machine and utilizing the SVDD model and the incremental learning ability of the SVDD model, precise classification and dynamic adaptation of the operation working conditions under all working conditions are achieved, and the autonomous operation efficiency and precision are improved.

The embodiment of the invention provides a starting control method and device of a virtual machine, electronic equipment and a storage medium. An internal security module of a physical machine is called to measure a boot loader of the virtual machine for the first time, and a first measurement value is obtained; generating a virtual security module based on the endogenous security module, and creating a configuration file for the virtual security module; initializing the virtual machine, and calling the virtual security module to measure the boot loader for the second time according to the configuration file to obtain a second measurement value; and verifying the boot loader according to the first metric value and the second metric value, and controlling the virtual machine to start under the condition that the verification is passed. According to the embodiment of the invention, the integrity of the boot loader can be verified, and the running safety of the virtual machine is improved.

The invention relates to unified command transfer for managed memory. A host system may be configured to transmit a unified command transfer including a plurality of boot commands of the same type to a memory system for executing a boot program of the memory system. A boot loader (e.g., system boot software) may support generation of the unified command transfer such that a host command manager may transfer the unified command transfer to the memory system. The memory system may receive the unified command transfer and perform a boot operation associated with the unified command transfer. In some cases, performing the boot operations may include sequentially performing each boot operation on a single system interrupt. The memory system may transmit information associated with the boot operation back to the host command manager in a message, and the host command manager may transmit an indication of the message to the boot loader.

A method of updating software of an Electronic Control Unit (ECU) includes: downloading a boot loader to a boot area of a second memory bank in an inactive state, and downloading a firmware or data to a normal area, when a first memory bank is in an active state; setting the second memory bank, which is in the inactive state, as a memory bank to operate in the active state after a reset of the ECU; and resetting the ECU to cause the second memory bank to operate in the active state.

The invention discloses a version adaptation method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The method comprises the steps that a starting class of a current application program is loaded through a preset first class loader, and if it is determined that the type of the current application program is a web application program in the starting class, the current application program is started; obtaining a to-be-adapted jar dependency file in a dependency library directory of the current application program; unpacking the to-be-adapted jar dependent file, and selecting a target byte code file related to class loading; in the search class method of the first class loader, determining a calling position for calling the target bytecode file, and inserting a preset version adaptation method behind the calling position; according to a version adaptation method, performing adaptation processing on the target bytecode file to obtain an adapted bytecode file; and replacing the target byte code file by using the adapted byte code file. By adopting the method and the device, when the adapted byte code file is loaded, the currently running JDK version can be effectively compatible.

The invention provides a task execution method and system based on dynamic class loading, and belongs to the technical field of computers.The task execution method comprises the steps that a basic platform class loader is created, and a connector index is constructed in the basic platform class loader; respectively creating a task class loader group, a strategy class loader group and a connector class loader group, wherein each group enables each loaded JAR packet to generate an independently isolated class loader; after the task and strategy class loader receives the class loading request, the class loading request is transmitted to the basic platform class loader according to the delegation of the parent delegation mechanism; according to a class loading request, a connector class loader corresponding to a class requested to be loaded is positioned through a connector index, and after a class object is created according to the class requested to be loaded, the class object is returned to a strategy class loader and a task class loader according to a delegation path. According to the method, the running resources of the Java virtual machine are deployed in advance, and the class loader is used for pre-allocating the resources, so that the starting time during task execution is shortened.

The invention relates to the technical field of computer storage, in particular to a system writing method for a USB flash disk by a USB flash disk burning tool, which comprises the following steps of: selecting a Ubuntu system as a substrate system for operating and maintaining a USB flash disk system, and selecting a boot file for installing a mirror image file as a boot loader; installing a required software toolkit and a server hardware test tool in the base system, setting the base system to automatically log in a root user, and modifying a hostname of the base system into an SN of a machine; maintenance of the USB flash disk system is realized through operations such as partition formatting of a storage medium, reduction of a root file system, modification of a partition table and installation of a boot loader; making the configured substrate system into a real-time operating system; integrating the generated real-time operating system file, the kernel and the virtual disk environment file; the content of the grub.cfg document is adjusted; and making the integrated file into a starting mirror image in an ISO file format. The technical defects of the two mainstream schemes are overcome.

The invention discloses a loader load process prediction method based on MBD-DEM coupling simulation data driving, and is applied to the technical field of loader load prediction. Comprising the following steps: establishing a multi-rigid-body dynamic model of a loading machine working device; constructing a discrete element model of the material particles by adopting discrete element simulation software; mBD-DEM coupling is realized based on the multi-rigid-body dynamic model and the discrete element model; different working condition combinations are set, and load history data are obtained; preprocessing the load history data and the corresponding working condition data; constructing and training an LSTM neural network; and predicting the loading process of the loader based on the trained LSTM neural network. According to the method, the mechanical kinematics and dynamics characteristics of the loading machine working device and the discrete characteristics of materials can be considered at the same time, and the load prediction accuracy is improved.

The invention belongs to the technical field of program updating, and particularly relates to a method for flashing Bootloader software, which comprises the following steps of: judging the validity of an application program by an operation starting manager, judging the validity of a programming mark if the application program is valid, and skipping to the operation of the application program if the programming mark is invalid; flashing the software of the second version of the boot loader and the effective copy mark into the flash area, and resetting the micro-control unit; the application program judges whether the copy effective mark is effective or not, if yes, the software of the second-version boot loader is copied to the position where the software of the first-version boot loader is located, after copying is completed, the copy effective mark is removed, and the software of the second-version boot loader is copied. And starting a memory protection unit preset by the micro-control unit to perform write access protection of all memories except for using the EEPROM, and enabling the application program to wait for other tasks. According to the method, the problem that the brick is damaged due to power failure when the power failure occurs in the process of flashing the Bootloader by running the APP is solved.

A first request may be received from a loader to create a first file handle corresponding to a first library, where the first request may include a first identifier corresponding to the first library, and where the loader may be part of an operating system of a computer system. It may be determined that the first library is to be proxied by a second library. The first identifier in the first request may be replaced with a second identifier corresponding to the second library. The first file handle may be created based on the first request. The first file handle may be provided to the loader. An export section of a first image corresponding to the first file handle may be customized when the first image is mapped into a memory.

The present disclosure relates to the technical field of engineering machinery. Provided are a parameter prediction method and apparatus, a model training method and apparatus, and a loader. The prediction method comprises: determining the current operating condition of a loader; acquiring operating data of the loader at the current first moment under the current operating condition; and inputting the operating data into a machine learning model corresponding to the current operating condition, so as to predict the state of charge of a battery of the loader at a second moment and the vehicle speed of the loader at the second moment, the second moment being later than the first moment, wherein the current operating condition is one of a plurality of operating conditions, and a machine learning model corresponding to one of at least two operating conditions is different from a machine learning model corresponding to the other.

A system on chip (SoC) includes an internal read-only memory (ROM) configured to store a first boot loader; a first internal static random access memory (SRAM) configured to receive a second boot loader output from a booting device, store the second boot loader, and perform a booting sequence according to control of the first boot loader; a second internal SRAM configured to receive a third boot loader output from the booting device, store the third boot loader, and perform a wake-up sequence according to control of the first boot loader; and a dynamic random access memory (DRAM) controller configured to load an operating system (OS) from the booting device into a DRAM according to control of the second boot loader.

The invention provides a firmware starting method and device based on a two-stage boot loader, and the method comprises the steps: carrying out the firmware head detection of unencrypted firmware through a second boot module when a starting signal is received, and determining a firmware head detection result; wherein the firmware head detection result comprises detection passing or non-detection passing; when the firmware head detection result is that detection is passed, the second guide module determines the target startup firmware information as unencrypted firmware according to the firmware head detection result; the second guide module sends a starting signal to the unencrypted firmware according to the target firmware information; the unencrypted firmware is used for executing the loading program according to the starting signal. According to the method, the security verification of the one-stage boot loader is reserved, so that the security of the encrypted firmware is ensured, and the hardware-level loading of the unencrypted firmware is supported.

The embodiment of the invention relates to the technical field of embedded linux, and discloses a device upgrading method, an electronic device, a storage medium and a program product. The method comprises the following steps: starting a boot loader; reading the target index value from a plurality of partition files of factory configuration of the equipment; one partition file only contains one index value; obtaining a target DTB file according to the target index value; and reading the target DTB file, loading data in the target DTB file into a device memory, and starting a system kernel. According to the method and the device, the target DTB file is directionally searched through the target index value after the boot loader is started, the DTB file is loaded into the memory to start the kernel, and the upgrading of the DTB compatible with multiple hardware versions is realized through software, so that the same firmware is compatible with different hardware versions, version upgrading does not need to be performed by relying on physical hardware resources, and the upgrading efficiency is improved. Different hardware platforms are compatible, and the flexibility of version upgrading is improved.

The invention discloses a system for realizing a JS multi-application framework on an RTOS platform, and the system comprises a desktop service assembly which is used for managing application loading, task processing and message transmission; the Launcher desktop application is used for providing a main interface function, and a user selects and starts a JS application through an interface; the JS application is used for running the JS application developed by the user; the desktop service assembly comprises an application loader used for initializing a JS runtime environment and loading and starting a JS application; the task processor is used for managing task switching between the JS application and the Launcher desktop application and managing an application state through a state machine; and the message center is used for processing the asynchronous message and transmitting the message to the task processor. The invention discloses a method for realizing a JS (JavaScript) multi-application framework on an RTOS (Real Time Operating System) platform, which meets the requirement of multi-task processing, optimizes resource management and improves system performance.

A method may include operating a field system using a first partition as an active partition and a second partition as an inactive partition; in response to receiving the system update, changing the boot loader configuration from the first partition to a second partition; performing a root of trust measurement on the update, wherein the measurement takes into account at least a change in the boot loader configuration; in response to establishing trust via the measurement, accessing the encryption key; decrypting the at least second partition using the encryption key for use by the system; and in response to detecting the system update problem, using the second partition as an active partition and using the first partition as an inactive partition to restart the field system for system rollback.

The invention relates to the technical field of data simulation analysis, in particular to a simulation data driving-based loader load process prediction method. The method comprises the following steps that a loading lifting capacity optimization mechanical relation model is established based on structure parameters of the skid steer loader; establishing a multi-domain loader oil way-dynamics simulation coupling model; and carrying out loading machine lifting mechanical collaborative optimization processing on the multi-domain loading machine oil way-dynamics simulation coupling model through the loading lifting capacity optimization mechanical relation model so as to obtain a loading machine working condition multi-domain collaborative simulation model. Transmitting the loading machine working condition multi-source load data to a loading machine working condition multi-domain collaborative simulation model to analyze loading machine multi-domain collaborative simulation load process characteristic data; and based on the loader multi-domain collaborative simulation load history characteristic data, establishing a loader multi-domain collaborative precision optimization load history prediction mapping relationship, and generating an optimized loader multi-domain collaborative load history prediction model. According to the invention, accurate prediction of the loading process of the loader is realized.

An embodiment of the present invention discloses a processing method, device, equipment and computer-readable storage medium for middleware. The method includes: obtaining a target process, and adding a target middleware operation component to a target class loader corresponding to the target process; establishing a target thread in the target process, and using the target thread to monitor operation commands of an external port of the target middleware. The target process includes a middleware component, and the target middleware operation component and the middleware component are isolated from each other; when an operation command is monitored, according to the operation command, at least one target middleware in the target class loader is controlled to perform a management operation. The present invention realizes the independence between the middleware component and the target middleware operation component, is flexible and convenient for each other to upgrade, reduces the coupling degree between the middleware and the SDK for unified operation management of middleware, and at the same time can, when an operation command of an external port of the middleware is monitored, realize unified management operation of the middleware according to the operation command.

The embodiments of the present application provide a server startup method, apparatus and system, and a non-volatile readable storage medium and an electronic device. An initialization module, a boot loader and a storage space are deployed on a server, wherein the initialization module is configured to initialize server hardware of the server when the server is started up, and the boot loader is used for storing a system file in the storage space and using the system file to load an operating system for the server. The method is applied to the initialization module, and comprises: when a server is started up and before the server runs a boot loader, detecting a reference storage segment in a storage space, wherein the reference storage segment is a storage segment, the storage capacity of which is smaller than the file size of a system file, in the storage space; and editing the reference storage segment as a target storage segment that is not allowed to be allocated to the boot loader for storage of the system file. The present application solves the problem of low server startup efficiency, thereby achieving the effect of improving the server startup efficiency.