69results about How to "Solve resource problems" patented technology

The invention discloses an inspection method, system and device for a fire alarm system, relates to the technical field of fire safety, and solves the technical problems of low inspection efficiency and resource waste caused by the fact that a fixed period polling mode is generally adopted in the prior art, a large amount of redundant communication is generated, and system bandwidth and computing resources are occupied. A to-be-queried queue is constructed based on a state response result; generating an inspection result in an instruction sending mode based on the state type in the queue to be queried; based on the real-time load and the load change trend of the to-be-queried queue, an inspection cycle is generated in a self-adaptive mode, lightweight state response results of all fire-fighting components are rapidly obtained through the variable inspection cycle, then the to-be-queried queue is constructed only for the components with the state changed, and refined detailed state query is carried out. And finally, the next inspection period is dynamically and adaptively generated according to the load condition of the queue, so that the generation of redundant data is eradicated from a communication mechanism, and the problems of low inspection efficiency and resource waste are solved.

The invention discloses a take-out delivery service range division method, device and equipment and a storage medium. The method comprises the following steps: dynamically calculating delivery time through store position information, a dynamic traffic factor, a dynamic meal delivery factor, a rider type factor, an optimization factor and an end point delivery difficulty factor; calculating the shortest passing time from the store to each node in the road network according to the delivery time, and generating a special delivery isochrone and a fast delivery isochrone according to the shortest passing time; according to a preset transport capacity density threshold value and a preset historical punctuality rate threshold value, carrying out dynamic optimization on the dedicated delivery isochrone, and according to an optimization result and the fast delivery isochrone, generating a fast delivery service area, the problems that a traditional take-out delivery range division method depends on a static distance and cannot adapt to resource waste and service blind areas caused by transport capacity distribution, weather changes and order density fluctuation in real time are effectively solved, accurate dynamic adjustment of the delivery service range can be achieved, and the delivery punctuality rate, the resource utilization rate and the user order placing experience are remarkably improved.

An intelligent tool car relates to the technical field of tool cars. According to the intelligent tool car provided by the utility model, paper drawings are replaced by electronic drawings by combining existing hardware modules. Therefore, automatic updating of online drawings is realized, resource waste is reduced, and drawing retrieval and updating efficiency is improved. Furthermore, the tool is intelligently associated with the drawing, so that the operation error and the tool loss rate are reduced, and the anti-loss management of the tool can be realized. Furthermore, through the modular design and the plug-and-play characteristic of existing hardware, the manufacturing cost of the equipment is reduced by 30%, development programs do not need to be customized, the equipment can be directly adapted to management systems of different workshops, and the popularization threshold is low. The system is suitable for non-standard processing scenes such as digital intelligent plate cabinet workshops and the like, and is used for solving the problems of lagging drawing management, low tool use efficiency, resource waste and the like.

This invention discloses a method for the biological drying of sludge, comprising the following steps: baking biomass materials, mixing the resulting baked product with sludge, biochar materials, and a conditioner for biological drying, thereby completing the sludge drying process. In this invention, by biologically drying the mixture of baked product, sludge, biochar materials, and conditioner, not only can the self-generated heat within the system be used to effectively dewater the sludge in a very short time, but the bioavailability of the microbial carbon source can also be improved, effectively reducing the generation of polluting gases. This method can effectively reduce the emission of polluting gases while achieving rapid dewatering. It has advantages such as simple process, low treatment cost, low energy consumption, high drying efficiency, good dewatering effect, low polluting gas production, and low content of toxic and harmful components in the dried product. It can solve the problems of biomass resource waste and pollution, achieve sludge reduction and resource utilization, and has high returns and good application prospects.

The application discloses a kind of based on multiple-source solid waste's improved red sandstone roadbed filler and mix proportion optimization method, belong to the field of red sandstone filler green low carbon improvement.Improved red sandstone roadbed filler is red sandstone as improved matrix, with match calcium carbide slag, rice husk ash, fly ash as cementing component preparation, wherein calcium carbide slag provides calcium source and alkaline environment, rice husk ash provides silicon source, fly ash provides aluminum source, three reactions occur in alkaline environment and generate abundant cementing products, realize red sandstone improvement.At the same time, with three cementing component contents as design variable, with bearing ratio, unconfined compressive strength, water stability coefficient as road evaluation index, construct road performance response model, through multi-index optimization, clear cementing component optimization ratio range.The method can exert the synergistic effect of multiple-source solid waste chemical composition, can be optimized according to different application scene performance requirements Ratio, realize red sandstone efficient improvement and multiple-source solid waste high-value utilization, with economic benefit and environmental benefit.

The application discloses a method and a server for generating ancient poetry video based on voice interaction video model, and relates to the technical field of artificial intelligence education, comprising: receiving a user's ancient poetry learning voice instruction and converting it into an instruction text; obtaining context information of the current user conversation; identifying whether the current intention is to generate an ancient poetry video according to the recognized instruction text and context information; when the intention is to generate an ancient poetry video, searching for corresponding author and original text information according to the recognized ancient poetry title; generating an ancient poetry meaning interpretation text by receiving the ancient poetry title, author and original text information through a text generation large model; and generating a video depicting the expression of ancient text or poetry by receiving the ancient poetry title, author, original text information and the ancient poetry meaning interpretation text through a preset video generation large model in real time. The application aims to solve the problem that users cannot generate ancient poetry learning videos in real time through voice interaction in the prior art.

The application discloses a data processing device for LDPC code layered decoding, which comprises a configurable computing unit capable of switching between row update mode and column update mode, a storage system physically divided into multiple independent storage banks, an address generation unit and a control unit. The address generation unit is configured to map access addresses of parallel data requests to different independent storage banks, and the control unit is configured to schedule column update tasks to be performed first and then closely related row update tasks in a decoding layer, wherein the row update tasks directly read the latest variable node messages generated by the column update tasks. The application guarantees the immediate reuse requirement of the layered decoding algorithm for the latest messages by constructing a high-bandwidth parallel data access path, eliminates the memory access bottleneck, and thus can fully exert the performance advantage of the layered decoding algorithm to realize high-throughput decoding processing.

The invention belongs to the technical field of solid waste recycling. The invention discloses a method for realizing high-value recycling of secondary aluminum ash and synchronous deep defluorination and dechlorination by utilizing hydrothermal synthesis. The method comprises the following steps: firstly, pretreating secondary aluminum ash, then preparing the pretreated secondary aluminum ash and water into slurry, and adding a specific defluorinating agent and a dechlorinating agent into the slurry to construct a synchronous reaction system; the system is subjected to hydrothermal reaction under high-temperature and high-pressure conditions, so that fluorine and chlorine elements are respectively fixed and converted into stable compounds. Solid-liquid separation is carried out after the reaction is completed, an obtained solid product can be used as a raw material for preparing a zeolite molecular sieve or an aluminum-based material, and salt is recovered from a liquid part through evaporative crystallization. According to the method, deep removal of harmful elements and a high-value recycling process of beneficial components are coupled to a single hydrothermal system, and efficient harmless and high-value recycling utilization of the secondary aluminum ash is achieved.

The application discloses an industrial corpus translation method, system, device and storage medium, and relates to the field of artificial intelligence. A translation request of input text initiated by a user is received, and it is inquired whether there is a corresponding translation result cache; if the translation result cache is not hit, word segmentation and semantic vector calculation are performed on the input text, and text similarity is calculated based on the semantic vector to find a historical translation or a similar sentence; if a similar sentence meeting a threshold value is not found, industry terms in the input text are recognized, and the recognized industry terms are combined with professional terms to generate an enhanced text; the enhanced text is retranslated to obtain a target translation result. The scheme can effectively improve the accuracy of industrial field text translation and the system response efficiency, reduces repeated calculation overhead through a multi-level cache mechanism, and ensures accurate translation of professional terms by using semantic vector matching and term enhancement technology.

The invention discloses a method and device for sending buried point data of terminal equipment, a storage medium and a computer program product, and relates to the field of computers.The method comprises the steps that under the condition that it is determined that the terminal equipment triggers a buried point code, buried point data corresponding to a target service event is generated through the buried point code, the burying point data is used for indicating service event information generated when the terminal equipment executes the target service event; storing the burying point data into a cache queue; and sending the buried point data in the cache queue to a back-end server according to a preset sending strategy so as to indicate the back-end server to analyze a service operation path of the target service event according to the buried point data.

A wireless communication method for a communication device includes: performing at least one communication operation with a network through a first channel; and operating on a second channel according to at least one of an indication, a time constraint and an interference condition, wherein at least one non-primary channel access (non-primary CH access, NPCA) channel is obtained by the network side, and at least one non-primary channel access (non-primary CH access, NPCA) channel is obtained by the network side.

The utility model relates to the technical field of spray tower dust removal, in particular to a spray tower dust water mist dust removal device which comprises a treatment tower, an external water tank, a flow guide assembly, an adjusting mechanism, a spray head set and a filter screen. Washing liquid is guided to the external water tank through the flow guide assembly, so that cleaning operation in the tower is avoided; the adjusting mechanism dynamically adjusts the spraying liquid flow to adapt to different working conditions; the flow divider and the nozzles realize uniform distribution of spraying liquid; the filter screen is matched with the cleaning brush to remove accumulated dust; and the settling chamber and the overflow pipe optimize the cyclic utilization of the washing liquid. The equipment maintenance efficiency can be improved, waste of water resources is reduced, the contact efficiency of spraying liquid and dust is enhanced, long-term stable operation of equipment is guaranteed, and the operation cost is reduced.

This invention discloses a lithium mica granule insulating brick and its preparation method. The lithium mica granule insulating brick is made from the following raw materials by weight percentage: 40%–80% lithium mica granules and 20%–60% cement. The lithium mica granules are prepared from lithium mica through granulation, calcination, and leaching. In this invention, the lithium mica granules have characteristics such as low density, high porosity, low thermal conductivity, and high strength. When compounded with cement, they form a lithium mica granule insulating brick that is lightweight, has high compressive strength, and excellent thermal insulation performance. The lithium mica granules used can be used directly without the need for pretreatment such as grinding and drying. The preparation process is simpler, more convenient, and has lower energy consumption, making it suitable for large-scale production and facilitating the industrial application of lithium mica granule insulating bricks. Furthermore, the large quantity of lithium mica granules used enables large-scale resource utilization of lithium mica and effectively solves the environmental problems associated with lithium mica granules.

The invention discloses an operator DICT project management and control system and method based on machine learning, belongs to the technical field of communication network operation and maintenance, and aims to solve the technical problem of how to realize automatic monitoring and fault prediction of each stage process of a DICT project and improve the operation and maintenance efficiency and accuracy. Comprising a data acquisition layer which acquires multi-source data through an edge operation and maintenance box and uploads the preprocessed multi-source data to a data fusion layer; the data fusion layer is used for carrying out standardization processing and feature extraction on the preprocessed multi-source data; the intelligent analysis layer is used for performing fault prediction analysis, root cause positioning and optimization suggestion generation on the time series data based on the model in the model library; and the management and control display layer issues the early warning notice to the executor and is used for displaying an execution result log recorded by the executor and returning the execution result log to the data acquisition layer to form closed-loop management and control.

This invention belongs to the field of power system planning and operation, and particularly relates to a method and system for optimizing the coordinated capacity configuration of flexible DC converter stations and reactive power compensation devices. It includes constructing a flexible DC interconnection model and establishing the capacity of the flexible DC converter station. P - Q The coupling characteristic curve is calculated. Based on the real-time reactive power demand of the system and the dynamic response weight of the flexible DC-DC converter station, the equivalent substitution coefficient of the flexible DC-DC interconnection for the traditional reactive power compensation device is calculated. Using the marginal cost analysis method, the marginal impact index of active and reactive power regulation demand on the overall net benefit of the system is calculated, and it is determined whether the flexible DC-DC interconnection device alone can meet the system's reactive power demand. If not, the reactive power gap is calculated and the traditional reactive power compensation device is configured. If it meets the demand, the optimal capacity configuration result of the flexible DC-DC converter station and the reactive power compensation device is obtained by maximizing the overall net benefit function of the system. This invention significantly improves the utilization rate of power electronic assets and the economy of power grid construction while ensuring the transient security support of the power grid.

This invention discloses a time-series data partitioning and storage method for high-frequency acquisition systems, relating to the field of data storage management technology, and is used to solve the problem of dynamic imbalance in high-frequency write structures. This invention achieves rapid response and adaptive structural adjustment to sudden write loads in high-frequency acquisition systems by constructing a dynamic time-series data storage mechanism based on write pressure sensing and partition structure linkage. By constructing a sliding write rate sequence and a write pressure factor, it identifies write overload states, dynamically triggers the structural splitting operation of the main partition, generates sub-partitions with time boundaries and independent buffer paths, uses timestamp mapping and buffer utilization judgment to achieve load-balanced routing of write requests, and combines write activity and latency statistics to generate a structure merging evaluation factor. The partition structure is dynamically adjusted according to trend changes, enabling the write structure to match the system load, thereby improving the system's structural resilience and write efficiency in high-concurrency scenarios.

This invention provides an energy flow architecture and test power supply system for automotive electric drive system testing equipment, belonging to the field of automotive technology. It includes: a three-phase rectified power supply; a dual-channel bidirectional DC / DC converter module, with its input connected to the output of the three-phase rectified power supply; a vehicle electric drive motor, connected to the first channel output of the dual-channel bidirectional DC / DC converter module via a second-stage high-voltage DC bus; a bidirectional inverter module, connected to the second channel output of the dual-channel bidirectional DC / DC converter module via a second-stage constant-voltage DC bus; a load motor module, connected to the bidirectional inverter module via a three-phase power cable; the load motor module includes at least two load motors, with the first load motor connected to a reducer, and the second load motor connected to the reducer or the first load motor via a mechanical stacking connection device. This invention solves the technical problems of resource waste and inefficient investment in existing electric drive system testing equipment.

The application provides an industrial asset space-time trajectory tracking method and system based on multi-source heterogeneous positioning data fusion. Among them, the edge node on the industrial asset collects multi-source heterogeneous asset positioning data to infer signal propagation path, extracts the geometric characteristics of the terrain reflecting surface and selects the polarization direction of the LoRa and satellite communication link; the edge node is divided into a federal learning group according to the geographical area, the positioning data is transmitted in the group through the polarization direction, the space-time feature segment of the industrial asset trajectory is generated, and is broadcast to the adjacent federal learning group; according to the space-time feature segment broadcast by the adjacent group, combined with the signal coverage blind area information, the topological extension is carried out on the broken area of the cross-group trajectory, and a continuous trajectory prediction path is generated; based on the signal attenuation difference of different terrain areas, the continuous prediction path is integrated, and a space-time trajectory tracking strategy is generated. The technical scheme provided by the application improves the reliability of industrial asset trajectory tracking in complex terrain.

The invention relates to the technical field of data processing, in particular to an agricultural equipment sales-oriented full-process business management and analysis system, which comprises a time sequence feature analysis module configured to generate a trend amplification coefficient according to a matching relationship between current time and a preset farming time window, and weight historical sales volume data based on the trend amplification coefficient to obtain a weighted historical sales volume; outputting a dynamic safe water level line; the bimodal arbitration module is configured to compare the current available stock with the dynamic safety water line in real time; a sequence distribution mechanism or a weight filtering mechanism is activated; and the data consistency guarantee module is configured to respond to the allocation of the resource locking authority, generate a temporary token in a memory, and asynchronously trigger data synchronization aiming at the database. According to the method, the problems of resource mismatching and concurrent deadlock under the seasonal pulse demand are solved through the time sequence dynamic water level and bimodal arbitration.

This invention provides a video task scheduling method, apparatus, electronic device, and storage medium, belonging to the field of artificial intelligence chip technology. The method includes: receiving a video task instruction, the video task instruction comprising a data stream identifier and first frame indication information; when the first frame indication information indicates that the current instruction is the first frame of the bitstream, acquiring the real-time status of multiple video execution units and selecting a target execution unit from the video execution units in an idle state; establishing a mapping relationship between the data stream identifier and the target execution unit; and sending the video task instruction to the target execution unit. This invention solves the problem of task blocking and resource waste caused by the inability of existing software scheduling to perceive hardware busy / idle conditions by dynamically allocating target units and establishing mappings based on the real-time idle state of the video execution units upon receiving the first frame instruction of the bitstream. This improves the overall scheduling efficiency and resource utilization of video encoding / decoding units in general-purpose graphics processors.

The invention discloses an industrial label printer, a printing system and an industrial label defect detection method. The industrial label printer comprises a first processor, a second processor, a printing mechanism and a paper feeding and transmission mechanism, the first processor is a non-real-time processor and is used for receiving a printing instruction issued by the upper computer, analyzing a label format and visual content to generate printing dot matrix data, extracting and structurally outputting label visual content parameters, sending the printing dot matrix data to the second processor and sending the visual content parameters to the upper computer; the second processor is a real-time control unit which is electrically connected with the printing mechanism and the paper feeding and transmission mechanism, receives printing dot matrix data issued by the first processor, focuses on execution of paper feeding and transmission mechanism control, printing mechanism heating control and time sequence related control, and does not undertake complex format calculation, communication protocol analysis and / or content parameter output tasks. Therefore, the problems of resource competition and data decoupling of the single processor are solved from the architecture level.

This application discloses a sensor bandwidth allocation method, system, and device based on the Industrial Internet of Things (IIoT), relating to the technical field of IIoT. The method includes: acquiring the status information of each static sensor node, planning a movement path for a mobile relay device based on the status information, configuring a dedicated channel for the mobile relay device, and determining a reference service time window; during movement, generating a channel trigger command based on the real-time location and real-time movement speed of the mobile relay device and the reference service time window of the target service segment; generating a global network time slot scheduling strategy based on the activation timing of the dedicated channel; distributing the global time slot scheduling strategy to the static sensor nodes, and distributing the movement path and the reference service time window to the mobile relay device. This application improves the accuracy of response to spatially dynamic unbalanced loads.

The invention relates to the technical field of camera control, in particular to a USB camera device with adaptive light adjustment and a control method thereof, and the method comprises the following steps: obtaining and storing scene feature information; when a camera is started subsequently, matching verification is performed on environment data and scene feature information, a special adjustment mode is triggered when verification is consistent, a target visual attention area is identified from a picture, meanwhile, a visual importance weight is distributed to the target visual attention area, then reference gains are calculated, differential distribution is performed on the reference gains, and the target visual attention area is obtained. Generating gain regulation mapping; and adjusting the picture by using gain regulation mapping, carrying out adaptive visual fusion between the target visual attention region and the adjacent region, and outputting a final picture. According to the invention, by memorizing and identifying the unique light intensity gradient and space structure formed when the camera is installed at the corner, differential gain adjustment of the visual attention area is realized, so that the imaging contradiction in a weak light gradient scene is solved.

The invention relates to the technical field of workpiece surface treatment, in particular to an oiling method and an oiling device. The method comprises the following steps that S1, lubricating oil is loaded into an oil storage mechanism and enters an oil outlet block through a guide pipe and an adjusting base, the adjusting base and the oil outlet block are attracted through a magnetic element, and an oil outlet nozzle is provided with a smearing head; lubricating oil infiltrates the smearing head. And S2, the part of the first specification is placed between the oil outlet nozzles, the part makes contact with the smearing head, and the smearing head smears oil on the part. And S3, when parts of other specifications are switched, corresponding oil outlet blocks are replaced, the horizontal position, the vertical position and the angle of the adjusting base are adjusted through an adjusting mechanism, the smearing head is made to be matched with the parts, and oiling is completed. And S4, the step S3 is repeated, and continuous oiling of the multi-specification parts is achieved. The oiling device has the advantages of being adaptive to various part specifications and improving oiling uniformity.

The invention provides a data synchronization method and device, equipment, a medium and a program product, and relates to the field of big data. Receiving remote log transmission requests of a plurality of synchronization services through a log agent, requesting a log file from the source end database through the log agent based on the log analysis breakpoint, receiving a target log file from the source end database, and storing the target log file in a local log storage unit, the plurality of synchronization services share and analyze; according to the method, the log requests of the multiple synchronization services are received in a centralized mode through the log agent, the target log files are uniformly obtained from the source end database based on respective analysis breakpoints and locally cached, multi-service efficient sharing and collaborative analysis are achieved, repeated pulling is avoided, the database load is reduced, and the synchronization efficiency is improved.

This invention discloses a big data-based operational analysis method, system, and medium, relating to the field of big data analysis technology. The method involves a central server first performing hierarchical or channel pruning on an initial model based on client terminal computing resource information, generating multiple compression ratio versions and adapting and distributing them. Then, the client terminal uses local historical behavioral time-series data to train the received model locally, allocating differentiated noise injection amounts to model parameters based on the impact of behavioral characteristics. After noise addition and homomorphic encryption, the parameters are uploaded. Next, the central server securely decrypts and aggregates the encrypted parameters, updates the model, and recompresses and adapts it before distribution. Then, the client terminal uses the new model to predict the churn probability of the latest behavioral time-series data, uploading early warning information when thresholds are exceeded. Finally, the central server generates an operational analysis report based on the early warning information. This achieves a privacy-preserving federated learning and real-time prediction closed loop, balancing data privacy and prediction accuracy.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

This application relates to the technical field of network communication and discloses a method for rapid Wi-Fi networking of smart devices, comprising: S1, a network configuration initiating terminal, while maintaining an established Wi-Fi connection with a target router, sends a network configuration command via wireless broadcast; the network configuration command includes the service set identifier and password of the target router; S2, at least one smart device to be networked, without being connected to any Wi-Fi network, enters a network configuration monitoring mode and performs frequency hopping scans on multiple wireless channels to receive the network configuration command in step S1; S3, the smart device to be networked parses the received network configuration command to extract the service set identifier and password of the target router, and initiates a connection to the target router based on the service set identifier and password. This invention solves the technical problem of cumbersome operation caused by the need for users to manually switch Wi-Fi connections in existing AP-mode network configuration by directly broadcasting the network configuration command from the network configuration initiating terminal and performing frequency hopping scans on multiple channels by the device to be networked.

This application provides a method for the efficient recovery of vildagliptin from vildagliptin mother liquor, belonging to the field of medicinal chemistry technology. Using vildagliptin mother liquor containing disubstituted impurities as the treatment target, an N-dealkylation reaction is used to selectively remove additional alkyl substituents from the disubstituted impurities, directionally converting the impurities into the target product vildagliptin, thus achieving waste resource utilization. This application requires no complex equipment, uses mild reaction conditions, achieves a disubstituted impurity conversion rate ≥90%, increases the total vildagliptin yield by 5-8%, and does not generate new process impurities. Hydrogen peroxide, as a commonly used industrial oxidant, is inexpensive, and the only byproduct is water, significantly reducing environmental pressure. It is fully compatible with existing industrial production processes and has outstanding economic value and environmental significance.

The utility model provides a citrus fruit-hanging sprinkling irrigation device, relates to agricultural planting technical field, the citrus fruit-hanging sprinkling irrigation device comprises a stand, a support mechanism and a sprinkling irrigation mechanism, the stand comprises a main rod, the main rod is provided with a mounting mechanism, the bottom of the main rod is provided with a plurality of support legs, and the support legs are uniformly distributed at intervals along the circumference of the main rod; a cavity is formed in the main rod; the supporting mechanism comprises a plurality of branch rods, the branch rods are distributed in the circumferential direction of the vertical frame at intervals, and a plurality of elastic bag nets are arranged on the branch rods at intervals; the sprinkling irrigation mechanism comprises a main pipe arranged in the cavity, the main pipe communicates with a plurality of sprinkling irrigation pipes, the sprinkling irrigation pipes are arranged on the branch rods, and a plurality of rotating nozzles are arranged on the sprinkling irrigation pipes at intervals. Fruits are supported through the elastic bag net, accurate sprinkling irrigation is achieved through the rotary spray head, the sprinkling irrigation angle can be flexibly adjusted according to the positions of the fruits, the double functions of water supplementing and supporting are achieved, and the device is low in cost, small in occupied space, efficient and practical.