275 results about "Embedded controller" patented technology

A system for multi-stage planning of construction processes and resource allocation, consisting of: a central planning engine configured to receive input data, including architectural design models, structural constraints, procurement schedules, and historical performance indicators; a task decomposition processor that is operationally connected to the central planning engine and configured to generate a hierarchical construction task graph by decomposing macro-level construction milestones into mid-level and micro-level subtasks, with each subtask having time estimates, location identifiers, resource requirements, and mutual dependencies; a hybrid planning processing unit configured to resolve time and resource constraints across the entire task diagram; a resource coordination controller that is operationally connected to the central planning engine, wherein the resource coordination controller includes a real-time database of work units, machines and material stocks, each resource being tagged with attributes such as availability, usage history, operating status and spatial location; a multitude of distributed execution units distributed across the construction zones, each distributed execution unit comprising an embedded controller, sensor interfaces, task status processing logic, and communication circuitry, each distributed execution unit being configured to receive planning instructions from the central planning machine, execute localized control logic for task confirmation and resource activation, and transmit task execution data back to the central planning machine; an adaptive conflict resolution processing unit that is operationally connected to the central planning engine and configured to detect conflicts in task execution or resource conflicts, simulate alternative task-resource allocation scenarios using a real-time multi-agent model, and autonomously update the task graph with revised task sequences and resource allocations; and A dashboard for the construction process, configured to visualize task progress, deviations from the planned schedule, and resource efficiency metrics, with the dashboard also being able to receive manual override inputs or approve automated conflict resolution proposals generated by the adaptive conflict resolution module.

The invention relates to the technical field of viscosity measurement, and discloses a verification system for a viscometer, comprising: a dynamic temperature compensation module for collecting temperature data inside and outside the viscometer in real time; the embedded controller is responsible for receiving the temperature data, executing a temperature compensation process and outputting a temperature compensation coefficient and an initial viscosity value; the multi-modal data fusion calibration module is used for receiving a temperature compensation coefficient provided by the multi-modal data fusion calibration module and data from a pressure sensor, a shear rate sensor and a vibration sensor, and carrying out joint modeling on the data by utilizing a weighted average method; the invention also discloses a verification method for the viscometer, which comprises the following steps: acquiring temperature data inside and outside the viscometer through the temperature sensor, and performing temperature compensation through the embedded controller. According to the invention, the multi-modal data fusion calibration module is introduced, and data from a plurality of sensors are integrated through a weighted average method, so that the optimized viscosity value is more comprehensive and reliable.

A firmware management operation. The firmware management operation includes providing an information handling system with a distributed BIOS, the distributed BIOS including a BIOS component and a BIOS variable; identifying a processor environment installed on an information handling system from a plurality of processor environments; performing a firmware key management operation, the firmware key management operation managing a key when performing a distributed firmware management operation.

The invention discloses a multi-device and multi-mode centralized control system which comprises an interaction control end and a device assembly. The interactive control end is configured according to three different control modes of centralized control, independent control and hybrid control, in the centralized control mode, a set of main control unit is configured for all devices, and the main control unit comprises a main control server which is used for operating a main control program and coordinating and controlling operation of all device components; in the independent control mode, each equipment component is provided with a corresponding embedded controller, and the embedded controller comprises an embedded control server which is used for operating a main control program for controlling the corresponding equipment component; in the hybrid control mode, one or more independent devices are provided with embedded controllers, the embedded controllers communicate with the main control server, the device assembly comprises a device body and a driving unit, and the device body is driven by the driving unit to achieve various operation functions. According to the invention, centralized control of multiple devices in a large-scale manufacturing factory can be realized.

A firmware management operation. The firmware management operation includes providing an information handling system with a distributed BIOS, the distributed BIOS including a BIOS component and a BIOS variable, the BIOS variable being stored within a firmware variable non-volatile memory store; instantiating a firmware variable transaction; and, authenticating, via a secure authenticated BIOS interface, the firmware variable transaction.

Systems and methods for hardware-agnostic boot tracking by an Embedded Controller (EC) in an Information Handling System (IHS). In an illustrative, non-limiting embodiment, an IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, by an EC coupled to the processor, a host Operating System (OS) boot progress indication; and store the indication by the EC.

Systems and methods include an Information Handling System (IHS) that is adapted to address power state transition failures by an IHS. An Embedded Controller (EC) of the IHS detects a request for the IHS to transition to a low-power operating state, such as a modern standby power state. The EC monitors for progress of the IHS in transitioning to the low-power operating state. Based on the monitoring, the EC determines the SoC is preventing the transition by the IHS to the low-power operating state. The EC identifies and releases hardware resources of the IHS that are referenced by the SoC and that are preventing the transition of the IHS to the low-power operating state.

The invention discloses an SPD burning method and system based on a serial port instruction and an embedded controller, and relates to the embedded field, and the method comprises the following steps: connecting a serial port cable with a host and a slave, and configuring serial port parameters; monitoring a serial port data buffer area in a timed polling mode by utilizing an embedded controller, extracting an instruction data packet and performing comparison verification on the instruction data packet and a pre-stored instruction feature library after a data arrival event is obtained; after the instruction verification is passed, receiving an SPD data packet input by a user through a serial port, and performing data format analysis and verification processing; writing the SPD data passing the verification into a target chip page by page by utilizing an I2C bus, and executing read-back verification after writing operation on each page by adopting a paging writing mode; in view of low SPD burning efficiency and low data reliability in the prior art, according to the application, the embedded controller SPD burning based on serial port instruction control is constructed, multiple data verification mechanisms are integrated and the like, and the reliability of data burning is improved.

Systems and methods for handling communications between a host Operating System (OS) application and a Battery Management Unit (BMU) through an Embedded Controller (EC) are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, by a kernel driver of a host OS, a message from a host OS application; and at least in part in response to a determination that the processor comprises a Reduced Instruction Set Computer (RISC) processor, send a request to an EC, wherein the EC is configured to request battery data from a BMU.

Systems and methods for injecting an overlay into a video framebuffer memory by a Basic Input / Output System (BIOS) without triggering a host Operating System (OS) error. An Information Handling System (IHS) includes a processor and a memory coupled to the processor. The memory stores program instructions that, upon execution, cause the processor to receive a command from an Embedded Controller (EC) and create an Advanced Configuration and Power Interface (ACPI) table with a video framebuffer memory location usable to store an overlay. The EC issues the command in response to the IHS returning from a selected power state or determining that the IHS is in a selected posture. The overlay may include a software keyboard icon or an Original Equipment Manufacturer (OEM) splash screen. The host OS checks the ACPI table during boot and allows the BIOS to write to the video framebuffer memory location without triggering an error.

Systems and methods for cross operating environment diagnostic operations with context resume. An Information Handling System (IHS) includes a processor and a memory coupled to the processor. The memory stores program instructions that, upon execution, cause the IHS to receive a command at a Basic Input / Output System (BIOS) from an Embedded Controller (EC) to perform a deep scan diagnostic operation. The command is received in response to a request by a host Operating System (OS) application. The BIOS executes the deep scan diagnostic operation and stores the result in an Advanced Configuration and Power Interface (ACPI) table. The host OS retrieves the result from the ACPI table and validates the result. The system enables comprehensive diagnostics by leveraging the BIOS environment, ensuring seamless context resume.

An information handling system may include at least one central processing unit (CPU); a Basic Input / Output System (BIOS); and an embedded controller (EC). The information handling system may be configured to: execute an operating system (OS) via the at least one CPU; execute an OS device driver for the EC, wherein the OS device driver is configured to provide non-blocking input / output (I / O) operations on the EC without the execution of a system management interrupt (SMI); and allow access to the EC from an application program via the device driver.

Systems and methods for routing manageability data in heterogeneous computing platforms. In some embodiments, an Information Handling System (IHS) may include a heterogeneous computing platform comprising a plurality of devices and an Out-of-Band (OOB) Microcontroller Unit (MCU), an Embedded Controller (EC), or a network device integrated into or coupled to the heterogeneous computing platform and distinct from any host processor of the heterogeneous computing platform, where the OOB MCU, EC, or network device is configured to receive a packet or command from a cloud service, and send the packet or command to a selected one of the plurality of devices.

The invention discloses a multi-model cache management algorithm based on online learning, which comprises the following steps: S1, an SSD (Solid State Disk) controller receives an I / O (Input / Output) request sent by an upper-layer application and captures a request feature; s2, after a fixed number of pages are processed every time, the request features are aggregated to generate window-level indexes; s3, performing discretization processing, and mapping into a finite state space; s4, the Q table calculates the predicted value of each strategy in the basic strategy pool in the current state; s5, the online learning module dynamically selects a cache replacement strategy of the next period in the basic strategy pool through the predicted value; and S6, additionally setting a preferential expelling chain table in the cache, monitoring the busy degree of a rear-end flash memory chip in real time by an active write-back module, and asynchronously writing cold dirty pages in the preferential expelling chain table back to the flash memory. According to the method, the cache hit rate is improved through dynamic strategy switching; the active write-back module reduces dirty page replacement delay and prolongs the service life of the SSD; the total memory occupation of the Q table and the Xgboost model is small, and the method adapts to the resource limitation of the embedded controller.

A portable information handling system modular hybrid architecture separates components between rotationally coupled housing portions to minimize cabling, connectors and materials, and to provide improved durability that supports recycling and reuse of the components. For example, a plurality of main board configurations provide selectable performance characteristics assembled behind a display in one housing portion and powered by a battery and charger in the other housing portion. A secondary board that supports the charger provides a variety of customizable secondary functions, such as audio processing supported by integrated speakers, a keyboard interfaced with an embedded controller and held by a housing cover.

The invention relates to the technical field of integrated control systems, in particular to an integrated control system and method for hollow filter stick forming equipment, and the method comprises the steps: taking an embedded controller for running a real-time operating system as a control decision module, and carrying out the unified execution of all control algorithms; an Ethernet protocol with microsecond-level period and precise clock synchronization is used as a real-time communication module to form a system backbone network; the execution and acquisition layer integrates a motion control module composed of a servo driver and a motor as a network slave station, a signal interaction module composed of a distributed I / O module, and a subsystem integration module formed by bridging a third party subsystem through a communication gateway. According to the system, all key units are deeply integrated into the same real-time network as slave stations, so that centralized management, real-time synchronization and refined closed-loop control of the whole system are realized.

Systems and methods for platform-agnostic communications between a host Operating System (OS) and an Embedded Controller (EC) are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, at a kernel driver of a host OS, a message from a host OS application for distribution to an EC; translate the message, by the kernel driver, into an Application Programming Interface (API) call corresponding to a selected one of a plurality of data transfer paths between the kernel driver and the EC, based, at least in part, upon a type of the processor; and transmit the API call by the kernel driver to the EC via the selected data transfer path.

Systems and methods for display control in a pre-boot environment are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive, by a pre-boot application, telemetry data from an Embedded Controller (EC) coupled to the processor; and in response to a determination, by the pre-boot application, that a policy condition or rule is met based, at least in part, upon the telemetry data, modify a display setting.

Systems and methods for handling Embedded Controller (EC) diagnostic tests using a hardware-based security architecture driver of a heterogenous computing platform are described. In some embodiments, an Information Handling System (IHS) may include a heterogenous computing platform and an EC integrated into or coupled to the heterogenous computing platform, the EC configured to: receive, from a hardware-based security architecture driver of the heterogenous computing platform, a command to perform or trigger a diagnostic operation; and respond to the command.

Systems and methods include an Information Handling System (IHS) that is adapted to provide diagnostic boot cycles. Once an IHS is powered, a boot sequence is initiated. During or after booting of the IHS, a request is detected for a diagnostic boot cycle by a requestor, such as by the operating system of the IHS. When a diagnostic boot cycle has been requested, an EC (Embedded Controller) of the IHS is booted in a diagnostic mode to perform a diagnostic test on one or more hardware components of the IHS. The results of the diagnostic test are stored to the NVRAM (Non-Volatile Random-Access Memory) that stores the boot code and that is accessible to the requestor of the diagnostic test once the IHS has been rebooted to a non-diagnostic mode.

The invention provides a four-rotor unmanned aerial vehicle visual navigation control method and system suitable for a complex low-altitude environment, and is applied to the field of data processing application. According to the method, a quadrotor unmanned aerial vehicle is taken as an object, and flight-related basic information and environment data of the quadrotor unmanned aerial vehicle are acquired; processing the basic information to establish a flight control basic model, processing environment data and basic model information, establishing a state estimation system, using a depth camera to acquire and process visual information, and combining visual SLAM to realize pose estimation and positioning mapping to obtain environment perception and positioning mapping information; processing positioning mapping and basic model information, transmitting a signal to an embedded controller to control a steering engine, and fusing data to generate a control instruction and positioning tracking information; then, an upper computer monitoring system is constructed, and track planning and monitoring information is generated; and finally, integrating various types of information, and generating target implementation information of the visual navigation unmanned aerial vehicle control system.

The invention discloses a wafer pre-alignment method, and relates to the field of semiconductors. According to the wafer pre-alignment method, a driving assembly composed of a single-axis robot module is adopted, high-speed and high-precision wafer calibration is achieved, the precision of the wafer position is smaller than + / -0.1 mm, and the edge missing or notch of the wafer is smaller than + / -0.1 degrees; equipment calibration is efficient, the position of the notch of the wafer can be positioned only in 3 seconds, the correction action of the center and the angle of the wafer can be quickly completed, and meanwhile, positioning is achieved; the CCD sensor adopts a high-performance optical sensor, can support the contour detection function of transparent, semitransparent and opaque objects and the like, and is suitable for detecting wafers and glass with the diameter of 100-300mm; the equipment adopts an embedded controller design, so that extra arrangement of a controller and a wiring space is not needed, and an ultra-small volume size is realized; the method is suitable for high-cleanliness environments such as semiconductors and photoelectricity.

Systems and methods include an Information Handling System (IHS) that is adapted to detect shock and fall events experienced by the IHS, where the events are detected through operations of a BMU (Battery Management Unit) that is directly connect to batteries of the IHS. An Embedded Controller (EC) of the IHS detects a transition by one or more processors of the IHS to a low-power operating state such that processor-based detection procedures are not operational. Upon detecting the transition, the EC transmits a signal to the BMU to initiate shock detection operations. In response to the signal to initiate shock detection, the BMU initiates a connection to one or more inertial sensors of the IHS. The BMU collects shock event data from these inertial sensors while the one or more processors remain in the low-power operating state.

Methods and systems for managing cooling of a data processing system. In particular, active cooling using a fan controlled by an embedded controller is provided in a data processing system having components from a thermal architecture that is only capable of providing passive cooling through throttling of a motherboard of the data processing system. The thermal architecture is based on a passive cooling thermal architecture of a computing device without the capacity to include the fan and the embedded controller, and the motherboard is one of the components of the thermal architecture.

The invention belongs to the technical field of power supply control, and particularly discloses a digital power supply graphical programming method based on flow driving, which comprises the following steps of: constructing a power supply control Flow component library which comprises a plurality of Flow nodes, and storing the nodes in a script file form, the script file comprises basic code snippets required by node function implementation and describes data terminals, logic terminals and node attribute parameters of input and output reserved by nodes; constructing a graphical programming module, and providing a graphical programming interface to receive a setting operation of a user so as to form a graphical program logic description file; generating a graphical program script file according to the description file and each Flow node script file; and generating a power supply control code based on the graphical program script file and the chip peripheral drive script file, and compiling and burning the power supply control code into an embedded controller of the digital power supply. According to the method, low-code / code-free development can be realized, and the development difficulty is effectively reduced.

An automotive Ethernet system-on-chip (SoC) implements a power management state that is a lower power standby for an embedded controller of a physical layer (PHY). The SoC combines an always-on power domain (AON) and a switched power domain (SWP). A power manager activates the lower power standby state through a standby signal sent to a power controller in the AON. The standby state enables the power manager of the SoC to switch a system clock from a high-frequency clock to a low frequency clock generated in the AON and turns off a clock dedicated to the PHY.

The invention relates to the technical field of mechanical equipment monitoring, and discloses an intelligent monitoring system which comprises a sensor module used for collecting vibration, temperature, pressure, flow and current data of a plastic centrifugal pump in real time; the embedded controller is connected with the sensor module and used for receiving and processing operation data in real time, and signal processing, preliminary data analysis and feature extraction are included; the data center module is connected with the embedded controller and is used for further extracting characteristic values of the operation data based on a deep learning algorithm, comparing the characteristic values with data in a historical database and generating fault early warning information; and the front-end interface module is connected with the data center module and is used for receiving and displaying the fault early warning information for operators to check. The sensor module is used for collecting vibration, temperature, pressure, flow and current data in real time, signal preprocessing is carried out through the embedded controller, feature values are extracted, and the adaptive capacity to complex working conditions of the pump body is remarkably improved.

The invention discloses a motor micro-channel heat dissipation online optimization method based on deep reinforcement learning. The method comprises the following steps: firstly, modeling a control problem of a motor micro-channel heat dissipation system as a Markov decision process; secondly, a double-delay depth deterministic strategy gradient algorithm is adopted, a deep neural network based on an actor-commentator framework is constructed to serve as a strategy network, and mapping from a state vector to an optimal control action is achieved; then, in a digital twinborn simulation environment, performing security pre-training on the strategy network to obtain an initial agent model; and finally, deploying the model to an embedded controller of an actual motor system, carrying out online fine adjustment with security constraints through online acquisition of interaction data, and adding a security fault-tolerant mechanism to ensure stable operation of the system. According to the method, self-learning can be carried out, a global optimal balance point of heat dissipation efficiency and energy consumption can be found, on-demand heat dissipation and prospective control are realized, local hot spots are effectively inhibited, and the temperature control precision and the energy-saving effect under complex working conditions are remarkably improved.

An information handling system executing computer readable code instructions for a firmware-level artificial intelligence (AI) productivity tool may comprise a hardware processor executing code instructions for a firmware adjustment listening module to identify and report a recent execution by an AI productivity tool enableable software application, in response to a received user query input, of a responsive application capability to an embedded controller executing computer-readable code instructions for a tandem, firmware-level AI productivity tool to identify a best match hardware or firmware capability with the received user query input and identified responsive application capability generating a highest lexical similarity search score, and instructing firmware for one of the hardware components associated with the best match hardware or firmware capability to execute the best match hardware or firmware capability at a platform level of the information handling system in response to the user query input to augment the responsive application capability.

The invention discloses a circuit board optimization method applied to wind energy conversion, and the method comprises the steps: integrating a dynamic load matching module on a circuit board, collecting the voltage, current and frequency signals outputted by a wind turbine generator in real time, calculating the current wind energy conversion efficiency through an embedded controller, and combining with a preset maximum power point tracking algorithm, dynamically adjusting the switching frequency of the power semiconductor device; a layered heat dissipation structure is adopted, a circuit board base material is made of a high-thermal-conductivity composite ceramic material, a micro-channel cooling system is embedded in the circuit board base material, and the circuit board base material is connected with external heat dissipation fins through heat pipes; a thermoelectric refrigeration sheet is arranged below the power device, and the refrigeration power is dynamically adjusted according to the feedback of a temperature sensor, so that the temperature of a key device is maintained in a safe range of 50-80 DEG C; through a multi-objective optimization algorithm, the circuit loss, the heat dissipation efficiency and the electromagnetic compatibility are balanced, the circuit layout and the wiring path are optimized, and the influence of parasitic inductance and capacitance on the high-frequency switch is reduced.