168 results about "Garbage collection" patented technology

This utility model provides an expansion joint cleaning device, comprising: a suction frame connected to a garbage collection bin for sucking garbage into the garbage collection bin; a suction assembly connected to a high-pressure centrifuge, wherein there is at least one suction assembly, which is fixed downwardly at least on one side of the suction frame for sucking up smaller pieces of garbage from the road and bridge expansion joint; a spray washing assembly hinged to the upper part of the suction assembly for rinsing up smaller pieces of garbage from the road and bridge expansion joint; and a sealing assembly rotatably installed at the lower part of the suction assembly for sealing the suction assembly. This utility model cleans the internal gaps of the expansion joint through high-pressure washing by the spray washing assembly, regardless of the depth of the expansion joint; and sucks up mud, garbage, and water used for cleaning from the expansion joint through the suction force of the suction assembly, achieving not only thorough cleaning of the internal gaps of the expansion joint but also collecting mud, garbage, and cleaning water all at once, ensuring a clean and aesthetically pleasing work site.

A garbage collection apparatus, according to one embodiment, may comprise: a main module for recognizing garbage to be currently collected on the basis of artificial intelligence which has been pretrained on the basis of images, and determining a collection path; a plurality of first submodules which are predetermined so as to collect garbage according to the characteristics thereof; and a second submodule for performing postprocessing on the garbage to be currently collected.

This utility model provides a docking-type garbage bin and a garbage compressor, relating to the field of garbage disposal technology. The docking-type garbage bin includes a bin body and supporting members. The bin body has an open end; the supporting members are disposed on the bin body, and two supporting members are spaced apart at the open end, with a preset distance between them; the preset distance is greater than the width of a small garbage collection vehicle; the supporting members are used to abut against the wheels of a large garbage collection vehicle to prevent the large garbage collection vehicle from entering the bin body. The garbage compressor provided by this utility model includes a receiving bin and the aforementioned docking-type garbage bin. This utility model allows small garbage collection vehicles to enter while reducing the operational difficulty and avoiding collisions with the garbage bin when large garbage collection vehicles dock.

This invention discloses a fully automated intelligent door-to-door garbage collection service system and method. The fully automated intelligent door-to-door garbage collection service system includes: a homeowner user module for receiving garbage collection requests from homeowners and displaying service status information; a property management module for monitoring the overall system operation status and managing equipment; an IoT control gateway module for breaking down communication barriers between the robot and the community's physical infrastructure, enabling the robot to move autonomously across floors and areas; and a cloud-based integrated dispatch center, which communicates with the homeowner user module, property management module, and IoT control gateway module, respectively, for receiving garbage collection requests sent by the homeowner user module and allocating the optimal intelligent robot to perform collection tasks based on a built-in dynamic multi-objective scheduling model.

The utility model discloses a kind of urban garbage collection structures of cleaning and transport, it includes frame, the outer surface of the frame is provided with sorting component, the sorting component includes multiple thread rollers, the rotation of multiple thread rollers pushes garbage along specified path, this urban garbage collection structure of cleaning and transport, by setting washing component, clean water is transported, the end synchronous pulley of a thread roller is rotated by synchronous belt drive a rotating rod, the end synchronous pulley of a rotating rod is rotated by synchronous belt drive another rotating rod, multiple rotating rods can be made synchronous rotation, each rotating rod is rotated by bevel gear set drive adjacent shower head, the outer surface synchronous pulley of a shower head is rotated by synchronous belt drive another shower head, multiple shower heads can be made synchronous rotation, start water pump, clean water is pumped from water storage tank, transported to conveying frame, to be transported to shower head, the application has the effect of cleaning garbage before sorting robot sorting.

This application relates to dynamically modifying a garbage collection rate of a memory subsystem in a closed loop system. In a closed loop garbage collection system, a comparator receives a first target time indicating when a first write rate based on a first write cursor is expected to fill a first superblock of a memory with data units. The comparator further receives negative loop feedback from the garbage collection process based on one or more elements. The comparator determines a first garbage collection rate based on the first target time and the negative loop feedback, where the first garbage collection rate is calculated to provide the first write cursor with a free empty superblock within a time range of the first target time. The comparator sends instructions to a garbage collection manager to perform a garbage collection process at the first garbage collection rate, where results of the garbage collection process are incorporated into the negative loop feedback sent to the comparator.

This application discloses a memory expansion method and related device. According to this method, when creating a zygote virtual machine, the electronic device can allocate virtual addresses corresponding to larger memory in the Java memory space and reserve a portion of the virtual addresses unused. After a cold start of the application, the electronic device can monitor the memory of the Java memory space in the virtual machine corresponding to the application. Under certain conditions, the Java memory space in the virtual machine corresponding to the application can not only continue to use the original virtual addresses but also use the reserved virtual addresses, thereby expanding the Java memory of the application. Through this method, the electronic device can expand the Java memory space for specific applications and scenarios (e.g., excessive memory usage) while ensuring system stability, thus avoiding stuttering and other problems caused by garbage collection (GC) when memory usage is too high.

The application discloses a GC mechanism processing method and device and medium, and is suitable for the technical field of solid state disks. When the RGW service is started, a GC main thread, a queue and a work thread are created, wherein the GC main thread starts the GC mechanism; garbage data obtained by the GC main thread traversing a storage pool is stored in the queue; and the queue sends the garbage data to the work thread in a de-queue mode so that the work thread deletes the garbage data. The method uses the thread division mode, the GC main thread starts the GC mechanism, when the GC mechanism is started, garbage collection is processed, the main thread is responsible for traversing the garbage data, and the work thread deletes the garbage data, thereby effectively improving the processing speed of the GC mechanism, relieving the pressure of only executing garbage collection through a single thread at present, and guaranteeing the stability of the system. Meanwhile, the multiple threads execute the deletion of the garbage data, high concurrency is realized, and available disk space is released.

A system can present computer storage resources as a consumer storage system, which abstracts resources as chunks in a chunkmanager, which abstracts resources in an uberstore, wherein the uberstore abstracts drives that implement a flexible data placement capability, and wherein the flexible data placement capability facilitates an effect of garbage collection that comprises deallocating data ranges that correspond to reclaim units that comprise groups of blocks. The system can, based on receiving a request to write to the consumer storage system, convert the request to the chunk manager and to the uberstore, and write data to the storage drives, comprising writing to groups of consecutive ubers of the uberstore to a same group of storage drives of the storage drives, via respective reclaim unit handles that correspond to the respective storage drives. The system can garbage collect chunks according to a chunk order and starting at an uber group boundary.

File names and inodes are indexed directly in a filesystem namespace consisting of a layered set of key value store (KVS) database logical tables. The KVS is used directly for organizing file and directory metadata on a cluster file system instead of traditional Btree structures. Embodiments provide file deletion in the file system namespace, and other features include snapshot deletion and cleaning the namespace. A name hash index is used to speed filename lookup in the file system namespace. Two key types of INODE and DIRENT are used to encode namespace metadata using self-identify variable length records in the namespace. Point-in-time snapshot copies are also formalized using KVS database operations as well operations on sets of snapshots for operations including garbage collection and data replication.

The application discloses a kind of robot autonomous operation method, the method includes: receiving environmental sanitation task and obtaining task information and global map, global optimal patrol path of covering target area and series key node is generated;Robot is controlled along path navigation, panoramic image is collected to identify target object and determine its world coordinate;When recognizing garbage, according to its coordinate, robot positioning and category, generate and execute cleaning subtask, and store classified garbage;After completing cleaning, return to original path and circulate operation, while monitoring power and storage box capacity;Capacity reaches threshold when navigating to the nearest garbage recycling point to dump, power is lower than threshold when navigating to the nearest charging point to charge;After task is completed, clean remaining garbage, supplement power and report task completion information.The method realizes the whole process of environmental sanitation operation autonomous operation, and improves operation refinement and intelligent level.

The application provides a spatial query performance optimization method in a geographic information system, and belongs to the technical field of geographic information systems.The application adopts three-dimensional Hilbert space-time filling curve coding and memory level columnar storage format to maintain the locality of space-time data and reduce invalid memory loading, introduces a consistent hash and adaptive space grid dynamic partitioning load balancing strategy to migrate hotspot tiles to idle nodes, adaptively distributes query requests based on a deep Q network artificial intelligence space-time load routing decision model, and dynamically adjusts the strategy update mode through an adaptive exploration rate adjustment function, triggers a repartitioning process when the query response delay exceeds a threshold, and performs garbage collection on a low-frequency version chain, thereby solving the technical problem that the spatial query performance of the geographic information system rapidly decreases with the increase of the data scale in a high-concurrency streaming spatial data input scene.

A system can store a first encryption key for a first data chunk of a log filesystem in a first virtual chunk extent that comprises first virtual pointers that point to the first data chunk, wherein the first data chunk is encrypted with the first encryption key. The system can, based on performing garbage collection on the first data chunk, to produce surviving data that remains from the first data chunk after the garbage collection, move the surviving data to a second data chunk, wherein the surviving data is encrypted in the second data chunk with a second encryption key, wherein the second encryption key is stored in a second virtual chunk extent corresponds to the second data chunk, and delete the first virtual chunk extent while refraining from deleting the first data chunk, wherein, after the deleting, the first encryption key is deleted.

An operation method of a storage device and a memory controller is provided. The storage device includes a memory device having a plurality of memory blocks and a memory controller. The memory controller is configured to control a garbage collection operation of the memory device. The memory controller is further configured to select, by using a reinforcement learning model, a victim block and a target block for performing the garbage collection operation among the plurality of memory blocks, according to state information of each of the plurality of memory blocks and feature information of data written in each of the plurality of memory blocks.

1. The name of the design product: pure electric garbage truck. 2. The use of the design product: for garbage collection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view. 5. The bottom of the design product is not easy to see or not visible during use, omit design 1 view; The bottom of the design product is not easy to see or not visible during use, omit design 2 view. 6. Design 1 is designated as the basic design.

The utility model discloses a kind of perishable garbage separation collection devices, it is related to garbage collection field, including garbage input hopper and collection guide cover, the collection guide cover is fixedly installed in the lower end of the garbage input hopper, the outside of the collection guide cover is equipped with lifting structure, the inside of the garbage input hopper is equipped with multiple partition plates.The utility model said a kind of perishable garbage separation collection device, when using, the overall height of garbage input hopper and collection guide cover can be adjusted according to actual demand, so that the device can be more flexibly integrated into various recycling systems, reduce installation time-consuming, avoid leakage or blockage caused by height mismatch in the process of input, realize the preliminary zoning of multiple types of garbage, when garbage moves down to collection guide cover, the rotation of winding and feeding blade can quickly mix different materials, and accelerate its downward delivery to recycling equipment, not only avoid garbage accumulation in pipeline blockage, also ensure that mixing uniformity.

In the dustbin compression control method, self-moving cleaning device, and storage medium disclosed in this invention, when the compression component in the dustbin rotates under the drive component, the operating state of the drive component is mainly affected by the resistance state set on the compression component. Based on the signal detected during the operation of the drive component to characterize the operating state of the drive component, the drive component is controlled to drive the paddle to rotate. Without adding additional hardware modules, the dustbin compression process can be precisely controlled according to the garbage collection state while ensuring the safe operation of the drive component. Each time the user cleans, the dustbin has contained as much garbage as possible, improving the utilization rate of the dustbin's storage space during the cleaning process and reducing the user's participation requirements.

The application discloses a kind of urban domestic waste management system and method based on Internet of Things, it is related to big data analysis technical field, the basic data set of user historical garbage disposal record and garbage can full load quality is constructed by user collection in the application;After reaching recovery time node, according to site total accumulation quantity, construct garbage recovery sequence;Extract the information table of unfull garbage can, calculate remaining available quality and construct;According to user disposal preference, average disposal quality feature screening candidate user, push guide message, match remaining space;Through user reservation and actual disposal time calculation deviation score, combined with recovery sequence correction to obtain final recovery sequence;System includes data construction, accumulation analysis, empty volume statistics, disposal guide and sequence correction five big modules, each module cooperates to realize data acquisition processing, accumulation quantity analysis, guide disposal and recovery sequence optimization, improves urban domestic waste recovery utilization rate and management intelligent level.

Mechanisms are provided for dynamically modifying maximum heap sizes of local memory heaps. A plurality of applications execute that each have a corresponding local garbage collector in a plurality of local garbage collectors. A global garbage collection manager executes and communicates with the local garbage collectors. The global garbage collection manager maintains global statistics information that includes statistics information communicated to it from each of the local garbage collectors. A first local garbage collector, associated with a first application, communicates first statistics information of the first application, in response to a first local garbage collection operation executed by the first local garbage collector, to the global garbage collection manager. The global garbage collection manager dynamically modifies a heap size associated with the first application based on the first statistics information and the global statistics information.

This invention discloses a method, apparatus, device, and medium for composite stress testing of solid-state drives (SSDs). The method includes: loading test configuration parameters and establishing a communication connection with the SSD under test, which is pre-placed in a preset test environment; performing performance baseline calibration and preprocessing on the SSD under test; performing composite stress performance testing, dynamically coupling at least two of temperature stress, capacity occupancy stress, power interruption stress, garbage collection induced stress, and mixed load stress; synchronously collecting test data and constructing a time-series data warehouse; and performing intelligent deep analysis based on the time-series data warehouse, including performance consistency deep analysis and health and risk prediction analysis. This invention simulates a real, complex environment through composite stress testing, solving the problem of limited scenarios in traditional testing methods. Simultaneously, intelligent deep analysis addresses the issue of superficial data analysis, enabling a comprehensive and accurate assessment of SSD reliability.

This invention specifically relates to a drone for garbage collection in mountainous areas, belonging to the field of drone technology. The drone for garbage collection in mountainous areas includes a drone body and a collection assembly. The drone body is equipped with a quick-connect assembly. The collection assembly includes a robotic arm and a gripper. The fixed end of the robotic arm is connected to the drone body via the quick-connect assembly, and the gripper is connected to the movable end of the robotic arm. This gripper has the advantage of good garbage gripping effect.

This invention discloses a method and system for intelligent scheduling of garbage trucks based on reinforcement learning, specifically relating to the field of intelligent scheduling technology. The method involves acquiring urban garbage collection road network topology, historical garbage production spatiotemporal distribution data, and garbage truck trajectory data; calculating the negative coupling coefficient of each intersection segment to the scheduling strategy of adjacent routes to form a negative coupling matrix; performing spectral clustering on the negative coupling matrix to divide the coupling-sensitive subgraph and extracting a set of key intersection segments; inputting the set of key intersection segments and historical garbage production spatiotemporal distribution data into a multi-agent reinforcement learning framework to construct a scheduling strategy model and output initial strategy parameters; generating a collaborative scheduling scheme based on the initial strategy parameters in a simulation environment and incrementally correcting the initial strategy parameters to obtain a converged scheduling strategy; determining the garbage truck departure time and travel path based on the converged scheduling strategy and writing it back to the route interaction graph for iterative optimization.

This disclosure relates to the field of garbage collection technology, and discloses a method, apparatus, computer device, and storage medium for garbage collection of solid-state drives (SSDs). The method includes: determining a first collection unit requiring garbage collection when garbage collection is needed; obtaining a first collection unit segment list from the host file system; the first collection unit segment list records segments belonging to the first collection unit; determining whether each segment in the first collection unit segment list is valid; if valid segments exist in the first collection unit segment list, rewriting the data corresponding to the valid segments to a second collection unit, and writing the valid segments to the second collection unit segment list of the second collection unit; if invalid segments exist in the first collection unit segment list, releasing the storage space corresponding to the invalid segments. This disclosure allows garbage collection at the host file system level, helping to improve system QoS.

A method of operating a controller includes sensing power-on of a memory system including a semiconductor memory device, determining whether to delay a garbage collection operation performed during an initial operation of the memory system, based on a sudden-power off (SPO) count value, and controlling the semiconductor memory device to perform the garbage collection operation based on the determination result.

The utility model discloses a building garbage recovery device with filtrate function, including mobile support, mobile support is provided with recovery bucket through a pair of bearing seat, the recovery bucket lateral wall is fixed with push handle, recovery bucket is provided with the bottom open structure, recovery bucket bottom is provided with filtrate subassembly, integrated filtrate design, and the environmental protection is strong: through setting up filtrate subassembly in recovery bucket bottom, realizes building garbage collection and liquid filtration separation's synchronous performance, effectively avoids liquid leakage pollution, meets the environmental protection requirement, reduces the environmental protection compliance risk of construction site, and filtration subassembly can dismantle, and maintenance is convenient: utilize the sliding fit of T type guide slot and T type guide block, and the quick location and unlocking of limit mechanism are combined, can easily realize the dismantling and installation of collection hopper, is convenient for the cleaning and replacement of filter screen, guarantees the filtrate efficiency in long -term use.

The application discloses a kind of write method of storage data, recycling method and storage host, it is related to data storage technical field, since in the storage page of multiple storage blocks sequential arrangement, using flexible expansion storage mode carries out data writing, solve the page mapping of metadata in discrete mode, affect the original order of data and the problem of limited storage space.The application uses garbage collection strategy to recycle and transfer the garbage data in the storage block while continuously writing data, ensures that the scale of storage data is within a reasonable range, promotes garbage collection, accelerates the effective use of storage space, and further enhances the continuity of data disk storage.Therefore, the application can achieve efficient data writing, but also expand storage space, and further enhance the technical effect of storage host performance.