14results about How to "Avoid idle waste" patented technology

This utility model discloses a storage box assembly for a refrigerator, including a first box body with a first bottom wall and a first side wall; N second box bodies, each with a second bottom wall and a second side wall, the second bottom wall having a first limiting portion; the sum of the outer lengths of the N second box bodies is less than or equal to the inner length of the first box body, the outer width of the second box body is less than or equal to the inner width of the first box body, the outer length of the second box body is greater than the inner width of the first box body, and the length of the first limiting portion is less than or equal to the inner width of the first box body; in a first combination mode, the second box bodies are embedded in the first box body; in a second combination mode, the second box bodies are engaged with the opening end of the first box body through the first limiting portion. In the first combination mode, the second box bodies are embedded in the first box body, reducing the space occupied during transportation and lowering transportation costs; in the second combination mode, the second box bodies are engaged with the opening end of the first box body, facilitating adaptation to the internal space of the refrigerator and avoiding waste of internal space.

The invention discloses a double-channel control system and method for full-process automatic operation. The system comprises a central control unit, double test stations, a sensing detection unit and a man-machine interaction unit. The central control unit automatically loads clamping poses and motion parameters according to product models and drives the multi-dimensional electric adjusting platform to achieve high-precision automatic positioning. The dispatcher dispatches the two stations dynamically in a time-sharing mode in a 200-millisecond period, and mechanical interference is prevented through a safe locking timer. The system independently performs real-time fault diagnosis on each station, wherein the overcurrent fault needs that the current continuously exceeds 8.0 A for 20 milliseconds, and the displacement out-of-tolerance needs that the deviation continuously exceeds 1.5 mm for 50 milliseconds. Once a single-station fault occurs, atomization isolation is immediately performed and a single-channel mode is reconstructed, so that continuous operation of the test is guaranteed. According to the invention, high-efficiency, safe, full-automatic remodeling and intelligent fault tolerance are realized, and the test efficiency and the system reliability are improved.

The invention relates to the technical field of electric power computing power scheduling, and discloses an electric power cross-domain computing power elastic scaling scheduling system supporting a creative GPU (Graphics Processing Unit). The system receives a power cross-domain computing power scheduling request, and searches a matched historical computing power use record set from a historical computing power database according to the request. And carrying out load category division on the historical record set to generate historical computing power record subsets of a plurality of load categories. Computing power feature core calculation is performed on the subsets to obtain a plurality of computing power feature core points and associated time intervals; and using the associated time intervals as the time range of a plurality of scheduling analysis layers, performing multi-scale scheduling feature analysis on the computing power monitoring data sequence of the current power cross-domain within the specified time range through the plurality of set scheduling analysis layers, and outputting a plurality of computing power scheduling feature sets. And carrying out cross-scale fusion calculation on the feature sets to obtain a fusion computing power scheduling feature set.

This invention discloses a scenario-based AI task scheduling method for business halls based on computing power tiers. The method extracts scenario feature vectors, determines computing power demand level labels through computing power consumption calculation and three-level threshold classification, triggers container image pre-fetching and GPU space partitioning configuration; predicts the latency of each task on each path using a heterogeneous execution latency prediction model library, and employs a batch critical path minimization strategy with tiered preference penalties for task assignment; incrementally updates the predictor after filtering outliers from the measured latency; and obtains energy-saving action instructions online through adaptive trade-off parameter solving based on a sliding window-limited dual-deficit queue. This invention solves the problems of computing power utilization imbalance caused by static binding of algorithm carriers and rigidity of energy-saving decisions in preset time slots, achieving a power consumption reduction of over 30% while ensuring real-time SLO.

The application relates to the technical field of power monitoring, and discloses a power operation data monitoring method and system based on a cloud network, the method comprising the following steps: acquiring power equipment operation state data flow, uploading the operation state data flow to an edge intelligent gateway; the edge intelligent gateway acquires an abnormality index determined according to the operation state data flow, and uploads the operation state data flow to a corresponding cloud network resource pool in stages according to the abnormality index; after the cloud network resource pool receives the operation state data flow, the cloud network resource pool is elastically expanded according to the abnormality index. Through the method and the corresponding system, the matching between resources and data importance can be ensured, the insufficient computing power can be avoided, and the cloud network resource pool can be dynamically allocated on demand to improve resource utilization.

This application discloses a workflow processing system and method. It relates to the fields of cloud computing, automated task scheduling, and container orchestration. The system includes: a server, used to interact with users through a graphical interface, create workflow template files, and send the workflow template files to a scheduler; a scheduler, used to receive workflow instances, extract a directed acyclic graph (DAG) from the workflow instances, and control clients to execute workflow instances according to the DAG; and a client, used to execute tasks of N task nodes through N containers, updating the status of each task node to the server. This application solves the problem of low resource utilization in workflow scheduling in cloud-native environments in related technologies.

The invention provides a data development debugging method and device, equipment, a storage medium and a program product. Relates to the technical field of data development. The method comprises the following steps: in response to a received debugging request initiated by a user through a data development platform, allocating computing resources based on the debugging request and starting an interactive debugging environment instance; the debugging request comprises a Python operator code to be debugged; executing the Python operator code to be debugged in the interactive debugging environment instance, and displaying a code execution result and a variable value; and backfilling the debugged Python operator code in the interactive debugging environment instance into a static code editor of the data development platform. According to the method provided by the invention, the code execution state can be checked in real time, the code writing and debugging process is deeply integrated, environment switching and manual operation are avoided, and human errors are reduced; through a reasonable resource management and scheduling mechanism, it is ensured that computing resources can be fully utilized in the starting and running process of the interactive debugging environment instance, and resource waste is avoided.

The invention discloses a task processing method, a task processing system, electronic equipment and a storage medium, and relates to the field of artificial intelligence technology and task processing. The method comprises the steps of obtaining a task processing request; based on the resource state information of the plurality of processor clusters and the attribute information of the task processing request, task scheduling is performed on the task processing request to obtain a scheduling result, and the scheduling result is used for determining a target processor cluster for executing the task processing request; and distributing the task processing request to the target processor cluster according to the scheduling result to obtain a task processing result returned by the target processor cluster. According to the method and the device, the technical problem of relatively large resource waste caused by relatively low utilization rate of computing resources in a processor when the quality of executing the task processing request is ensured in the related technology is solved.

This invention discloses an OTA upgrade and rollback method for an electric two-wheeled vehicle controller and an electric two-wheeled vehicle. The controller includes an MCU and a Bluetooth chip. The MCU's flash memory is divided into a bootloader guidance area and an APP running area, while the Bluetooth chip's flash memory is divided into a Bluetooth APP area and an MCU program backup area. The method includes: after the controller is powered on, the MCU chip enters the guidance area, detects a valid upgrade flag, backs up the current firmware in the APP running area, and encrypts and transmits it to the backup area. After the backup is completed, an OTA upgrade is performed. After the upgrade is completed, the guidance area verifies the upgraded firmware in the APP running area. If the verification passes, it jumps to the running area and sets the upgrade flag to invalid; if the verification fails, a rollback process is triggered. The guidance area decrypts the firmware stored in the backup area and rolls it back to the APP running area. By utilizing the remaining space resources of the Bluetooth chip, the overall resource utilization efficiency of the controller is improved.

The present application relates to the technical field of turboprop engine, in particular to a turboprop engine test room. A turboprop engine test room, comprising: a factory building, a rack is arranged in the factory building, a turboprop engine is placed on the rack, and a propeller is arranged at one end of the turboprop engine; a flow guide device is arranged in the factory building, the flow guide device is located at one end of the propeller, the flow guide device comprises a walking mechanism and a flow guide ring, the flow guide ring is arranged on the walking mechanism, the propeller is arranged at the outlet of the flow guide ring, and the bottom of the walking mechanism is provided with rollers for movement. By arranging the flow guide ring on the walking mechanism and arranging the rollers at the bottom of the walking mechanism, the flow guide ring can move forward and backward, the relative position relationship between the flow guide ring and the propeller can be adjusted, so that the propeller of different models of turboprop engines can be located in the contraction section of the flow guide ring, the test of different models of turboprop engines can be satisfied, the utilization rate is improved, and waste is prevented.

This invention relates to the field of text classification technology, and more particularly to a text classification method, medium, and device. It dynamically determines the first parallel inference quantity M using computational resources, achieving a balance between computational resource utilization and inference stability. By initiating multi-threaded parallel inference, it generates M candidate output sequences containing a first intermediate semantic representation and a first text classification result, covering different inference logics of the model for the target text. This approach balances result diversity and inference efficiency, reducing classification errors caused by single-sequence inference bias. Through compliance verification and confidence assessment, it calculates a first quality score to obtain the target classification result. This not only filters sequences containing security risks or structural defects, ensuring the security of the classification process, but also distinguishes the reliability differences of the classification results, avoiding one-sided judgments that ignore reliability based solely on labels. In scenarios without real labels, it achieves objective quality quantification, ensuring the accuracy of the text classification results.

This invention relates to the field of automation control technology, and more particularly to a non-destructive upgrade automation control device and method for stand-alone equipment. The device includes a control system, an actuator, and a feedback device. The control system is based on a microcontroller, the actuator is an electronic touch clicker, and the feedback device is a camera detection unit. The method establishes color reference data related to the screen image through initial calibration, executes click operations after receiving instructions from a host computer, and forms a closed-loop control system combined with camera visual feedback. It automatically verifies the operation results and calibrates deviations, while also possessing a fault alarm mechanism. This invention achieves low-cost automated upgrades of older touchscreen devices through an external modular design combined with visual feedback to form a closed-loop control system, solving the problems of high cost, poor compatibility, and insufficient stability of existing solutions.

The application relates to the technical field of off-type film winding, and particularly discloses an automatic winding structure for off-type film production, which comprises rotatable replaceable winding devices; the winding device comprises two rotatable winding drums, at least one winding unit is arranged on each winding drum; the winding unit comprises a rotatable mounting frame; the modular winding unit is arranged, flexible switching between a non-slitting mode and a slitting mode of the same equipment is realized, in the non-slitting mode, the equipment can be used as a common wide-width winding machine, and is suitable for wide-width parent roll storage, rewinding and other operations, in the slitting mode, the winding unit is installed, the equipment can be converted into a precision slitting winding machine, and is suitable for precision winding operation of slitting the wide-width film into multiple narrow-width films, equipment idling and waste are effectively avoided, and equipment procurement cost and space occupation of the enterprise are reduced.

The invention provides an intelligent design method and a T-shaped wave-resistant retaining wall. The method comprises the steps that a footpath area located on the periphery of a riverway is determined, and all installation point positions corresponding to all T-shaped wave-resistant retaining walls are determined in the footpath area; wave height acquisition graphs corresponding to the installation point positions are obtained based on different acquisition moments, and the retaining wall heights of the T-shaped wave-resistant retaining walls corresponding to the installation point positions are determined based on the wave height acquisition graphs; based on the irradiation areas corresponding to the street lamps located in the footpath area, the containing attributes corresponding to the containing groove positions of the T-shaped wave-resistant retaining walls are determined, and the containing attributes comprise the green plant attribute and the lamp attribute. The practicability of the T-shaped wave-resistant retaining wall is at least improved.