8results about How to "Improve system throughput" patented technology

This invention provides a stacker crane for aisle storage, including a traveling base beam and a stacking device on the traveling base beam. A buffer device is also provided on the traveling base beam, and an adjustment device is installed at the outer end of the buffer device. The buffer device includes a buffer frame on the traveling base beam, with multiple sets of buffer crossbeams fixedly connected to both sides of the buffer frame, defining multiple buffer levels distributed vertically within the buffer frame. Buffer plates are fixedly connected to the multiple sets of buffer crossbeams, and multiple sets of goods are placed on the buffer plates. A conveying component is provided on the buffer plates, and scanning components are provided on the multiple sets of buffer crossbeams. A contact component is provided at one end of each set of buffer crossbeams. This invention improves storage and retrieval efficiency through multi-level buffering and path optimization, achieves real-time monitoring and automatic correction of goods status through intelligent scanning and pressure sensing fusion, and completes high-precision automatic docking based on laser ranging and electromechanical linkage. Ultimately, it constructs a highly efficient, reliable, and fully automated intelligent warehousing and stacking system.

The application discloses a device access method and device, electronic equipment, medium and product. The method is applied to a base station and includes the following steps: when a preamble sequence carried by a first uplink transmission resource is detected, receiving uplink physical channel data through a second uplink transmission resource associated with the first uplink transmission resource; after the uplink physical channel data passes CRC check, judging whether the preamble sequence is a valid preamble sequence according to an index value in the uplink physical channel data; if yes, performing a corresponding access operation on a terminal device sending the preamble sequence. The method can reduce the false alarm probability of a physical random access channel, avoid the base station from allocating redundant uplink resources to a non-existing terminal device, and thus improve key operation indexes such as network access success rate and system throughput.

This invention discloses a method and related equipment for accelerating call detail record (CDR) billing processing in a cloud environment, relating to the field of CDR billing processing technology. The method includes: real-time monitoring of the CDR billing entry directory in a cloud distributed file storage system to obtain CDR files under the directory; for each obtained CDR file, determining whether each file is a small fragmented file to be merged based on its size or the number of CDR records it contains; merging the contents of all small fragmented files into a temporary merged file until the total number of CDR records accumulated in the temporary merged file reaches a preset merge output threshold, at which point adding content to the temporary merged file stops, and the temporary merged file is used as the merged CDR file; and performing billing processing on the merged CDR file. This invention can improve CDR processing efficiency.

The application relates to a filtering circuit and filtering method based on a Hampel algorithm, which comprises a sliding window buffer module for buffering continuous sampling data streams in real time to form a sliding data window; a median solution module for performing hardware sorting on all data points in the sliding data window and solving the median; an absolute median deviation solution module for calculating the absolute deviation of each data point in the window from the median and sorting, and solving the MAD value; a threshold calculation and decision output module for calculating a decision threshold according to the median, the MAD value and a preset threshold coefficient, comparing the deviation of the current sampling point with the threshold value, and selecting the median or the original sampling point as the filtering result as output. The application adopts a full-pipeline design, realizes the Hampel filtering algorithm through a hardware circuit such as the odd-even sorting method, can process one sampling point in each clock cycle, greatly improves the processing efficiency, and solves the time-consuming problem of software sorting calculation.

The application discloses a time slot allocation method and system for multi-protocol coexistence of a shared radio frequency front-end circuit. The method comprises the following steps: periodically receiving all time slot applications in a current period and classifying them into three types of periodic, continuous and indefinite period according to execution characteristics; allocating different priorities to time slot applications of different categories, and calculating a dynamic current permanent priority by combining a permanent priority and a temporary priority; selecting a next to-be-executed time slot application according to the priority, updating all time slot parameters after execution is completed, and performing a cycle. The application can effectively predict and avoid time slot conflicts, significantly improve time slot utilization and communication real-time performance, and meet the requirements of low delay and high throughput, and is suitable for efficient coexistence of various wireless communication protocols in a shared radio frequency front-end environment.

This invention discloses an intelligent cleaning system and method based on the collaborative operation of unmanned aerial vehicles (UAVs) and unmanned sweeping vehicles (UAVs). The UAV continuously inspects the work area according to a preset coverage trajectory, identifies garbage targets, and sends the garbage target identification information to a base station. The base station constructs an online task pool and initiates forward-looking response planning when the UAV's remaining battery power reaches a trigger threshold, enabling the target UAV to arrive at the target rendezvous point in advance and wait for the target UAV to arrive along its original inspection trajectory. After the target UAV lands on the target UAV, it enters the charging phase. Under the constraint of the charging time window, the base station plans a closed-loop garbage disposal path, selects garbage disposal tasks from the online task pool, and assigns them to the target UAV. The target UAV performs garbage disposal operations. After completing all selected garbage disposal tasks, the target UAV returns to the target rendezvous point before the target UAV is fully charged, allowing the target UAV to continue cruising along its original inspection route after takeoff.

The application relates to a multi-core server job quick scheduling and core allocation method and system, which comprises the following steps: step 1: a client sends a job request to a server, and the server receives and caches the job request; step 2: a scheduler takes out the job request and allocates a pre-created container pool to execute the job; step 3: a scheduling strategy is defined, and cores are dynamically allocated according to core load and the number of jobs; when the cores are transferred, the scheduler reallocates the cores; when the cores are preempted, a recovery mechanism is used to recover and execute the jobs, and the execution result is returned to the client. The application introduces an event-driven strategy customization interface, supports users to quickly define and apply personalized scheduling strategies, and designs a microsecond-level, low-overhead core preemption and reallocation mechanism, so that efficient dynamic adjustment of resources can be realized in multi-program parallel jobs, and therefore the system performance and resource utilization can be significantly improved.

The application relates to a memory access device, a memory access system and an electronic device. The memory access device comprises a data splitting module, a demultiplexer, a plurality of access channels, and a monitoring module. The data splitting module is configured to split a received memory access request into a plurality of access sub-requests and send the access sub-requests to the demultiplexer. The demultiplexer is configured to distribute the access sub-requests to corresponding access channels. The plurality of access channels each comprise a cache module and a memory controller. The cache module is configured to cache the access sub-requests distributed by the demultiplexer. The memory controller is configured to access a memory component according to the access sub-requests sent by the cache module. The monitoring module is configured to monitor the cache state of each cache module. When it is detected that the remaining storage space of a first cache module is less than a preset first threshold, the data splitting module is controlled to stop sending a first access sub-request corresponding to the first cache module to the demultiplexer. The application can improve the memory access efficiency and the system throughput.