272results about How to "Improve resource utilization efficiency" patented technology

The invention relates to the technical field of agricultural information and seed and seedling cultivation, and discloses a peanut planting method for relieving continuous cropping obstacles of peanuts. The method comprises the following steps: constructing initial digital twins of a land parcel, and synchronously constructing a disease-resistant peanut variety screening and seedling pretreatment system; historical continuous cropping information, soil physicochemical and microorganism data, meteorological time sequence data and seedling cultivation parameters are fused, the system is driven to evolve into operation state digital twins, and seedling-soil-environment collaborative simulation is achieved. Evaluating the continuous cropping obstacle risk and the seedling adaptability based on the twinborn body, and generating a comprehensive diagnosis report containing a nutrient imbalance index, pathogenic bacteria abundance prediction, a root exudates cumulative effect and a seedling disease-resistant adaptation coefficient; according to the method, differentiated seed and seedling optimization, soil improvement and cultivation strategies are implemented, and management measures are dynamically optimized through real-time data feedback in a growth cycle. Through cooperative driving of digital twinning and seed and seedling cultivation, source prevention, control and intervention of continuous cropping obstacles are achieved.

The invention discloses a wind-light storage configuration method considering transient voltage constraint and inertia constraint, and the method comprises the steps: obtaining a wind-light typical output scene and a direct-current power transmission plan power through employing a k-means clustering method based on wind-light output and receiving end load data, employing a bilevel programming model for wind-light-storage capacity configuration, and obtaining a wind-light storage capacity configuration model; the upper-layer model takes the minimization of the total investment cost as an optimization target, and constructs a transient overvoltage constraint, an inertia support constraint and a capacity constraint based on the short-circuit capacity; and the lower layer model takes the operation cost of the thermal power generating unit and the new energy power abandoning cost as targets, considers the power balance constraint, the operation constraint and the like of the wind-light-storage channel direct current power transmission delivery system, introduces the power transmission confidence probability constraint, and realizes the measurement of the delivery reliability of the wind-light storage channel. An improved grey wolf optimization algorithm is adopted, a Logistic-Tent mapping opposite learning mechanism is added, a mutation operator, a crossover operator and a selection operator are introduced in the differential mutation process of the algorithm, the population number and category richness in the algorithm are improved, and the solving speed is increased.

The invention relates to the technical field of concrete performance detection, and discloses a concrete condensation state prediction and maintenance method based on multi-sensor fusion. The method aims at solving the problems that an existing concrete condensation state judgment method is destructive and cannot reflect the real state in a structure in real time, and maintenance measures cannot dynamically adapt to actual working condition changes. The method comprises the following steps: deploying a multi-sensor combination in concrete to collect data in real time, pre-processing the data, inputting the pre-processed data into a long-short-term memory network model, and predicting a condensation state and early strength; and the maintenance equipment is automatically controlled according to the prediction result. According to the method, feedback optimization is also performed on the model by utilizing the final actual measurement intensity. Lossless and real-time monitoring and accurate prediction of the internal state of the concrete are realized, automatic and refined closed-loop regulation and control can be performed on the maintenance operation, and the scientificity and efficiency of construction management are improved.

The invention provides a BIM-based open bench blasting blast hole fine charging design optimization method, and relates to the technical field of electric digital data processing, and the method comprises the following steps: collecting related characteristic parameters of a blasting project; establishing a blasting wave and range mathematical model, and outputting a blasting wave and coefficient corresponding to the current initial explosive charge; acquiring the upper limit of the shock resistance margin of the explosive, collecting the average distance between adjacent blasting holes, and calculating the blasting coherence index by combining the blasting sweep efficiency; and setting a coherence threshold value, and comparing the blasting coherence index with the set coherence threshold value. According to the method, the blasting interference risk between the adjacent blast holes is quantitatively evaluated by introducing the blasting coherence index, and the problem of explosive load design deviation caused by the fact that a conventional scheme only depends on an empirical formula or static parameters is solved; and a closed-loop feedback optimization algorithm is adopted to automatically adjust the explosive load until a coherence threshold value is met, collaborative operation guarantee of the blasting sequence is realized, and the blasting safety and the resource utilization efficiency are remarkably improved.

The invention discloses a data processing method and system for credential equipment, and belongs to the field of data processing in the information technology application innovation industry, and the method comprises the steps: a multi-source data fusion and intelligent analysis module is used for fusing the operation state, business and security log data of the credential equipment, and carrying out the fault prediction and performance bottleneck positioning through a deep learning model; the data security processing module adopts homomorphic encryption and proxy re-encryption technologies to ensure that data is processed and securely shared in an encryption state; the self-adaptive dynamic load balancing module dynamically allocates tasks and resources by monitoring and predicting equipment load in real time; the cross-platform data interaction and co-processing module constructs a unified framework to realize data adaptation and task collaboration between different operating systems and hardware architecture equipment; and the block chain and federated learning collaboration module realizes security joint modeling and privacy protection of data based on the block chain and federated learning. According to the method, the operation efficiency, the safety, the cooperation capability and the resource utilization rate of the credential equipment group are comprehensively improved.

This invention relates to the field of computer technology, specifically to a method and apparatus for integrating third-party algorithm components based on dual-core collaboration. This application directly integrates third-party algorithm components into the BCM dual-core MCU, eliminating reliance on ZCU and CAN bus communication. This fundamentally eliminates the latency and security overhead caused by cross-ECU transmission and E2E protection, improving signal real-time performance and communication security. By clearly defining the functions and allocating resources of the BCM dual-core, a dedicated storage area is planned for the third-party algorithm components, and a standardized integration environment is built, achieving efficient and stable component integration. Simultaneously, peripheral access strategies are optimized, unnecessary protections and redundant polling are disabled, releasing idle computing power and hardware resources of the BCM and improving utilization. Without increasing the ZCU hardware cost, the chassis braking algorithm is deployed and executed locally, reducing performance losses caused by cross-domain communication and effectively improving the overall system operating efficiency and resource utilization efficiency.

The application provides an automatic disk IO method based on structural mechanics CAE simulation software, comprising the following steps: S1, constructing a memory-disk cooperative computing framework, and dynamically monitoring a data access state in a simulation solving process; S2, automatically exchanging non-active core data structures to a high-performance disk according to a data access frequency, a life cycle and a memory pressure; S3, loading back to the memory on demand when subsequent calculation needs to access the data exchanged to the high-performance disk; wherein the core data structures comprise a stiffness matrix, shape function data, an intermediate result vector and derivative physical quantities, and the exchange process is transparent to the solver. According to the application, the exchange process is highly transparent to the core computing logic of the solver, is automatically managed by the system, and does not need user intervention, so that efficient utilization of memory resources and stable operation of super-large-scale model simulation are realized.

The utility model provides a kind of for coke coal pre-arrangement gangue intelligent dry method sorting equipment, it belongs to coal sorting technical field, wherein upper layer X-ray generator, upper layer beating device, lower layer X-ray generator and lower layer beating device are all installed on equipment rack, unified dust collector and control terminal are equipped;Upper layer X-ray receiver and lower layer X-ray receiver are respectively arranged in the inner cavity of upper layer sorting conveying device and lower layer sorting conveying device;Upper layer sorting conveying device and lower layer sorting conveying device all include transmission belt, transmission roller and driving motor, transmission roller is fixedly connected in the inner cavity of equipment rack by bearing.Compared with traditional single-layer photoelectric sorting equipment, the utility model uses upper and lower double-layer sorting structure, a single device can process two layers of coal simultaneously, greatly improves the processing capacity of coal, when facing a large number of coal sorting tasks, multiple devices do not need to be used simultaneously, saves sorting time, improves overall production efficiency.

The application discloses a kind of topological information sending method, device, equipment and storage medium.It includes: determining available topological information sending time in sending period and the actual topological information sending time required by sending target topological information;Based on actual topological information sending time and available topological information sending time, the sending information of topological information is adjusted, and the sending information includes sending hop and sending period;According to the sending information of adjusted, topological information is sent to other network nodes in wireless self-organizing network.According to the present application, the sending information of topological information can be adjusted based on actual topological information sending time and available topological information sending time, compared with the existing node periodically sending handshake message to neighbor node, establishing local neighbor table, then periodically flooding local topological message to the whole network.The application can make full use of time resources, and can perceive larger range of network topology state under controllable resource condition, to improve resource utilization efficiency.

The invention relates to the technical field of computers, and provides a short message sending control method, a short message sending control device, a computer readable storage medium and electronic equipment.The short message sending control method comprises the steps that a preset short message sending rate limiting strategy is acquired, the short message sending rate limiting strategy is used for defining the maximum number M of short messages allowed to be sent in a preset time window; initializing an annular storage area based on the maximum short message number M, wherein the annular storage area is composed of M memory blocks; when a short message sending request is received, obtaining a time difference between the current timestamp and the earliest timestamp recorded in the annular storage area; if the time difference is larger than or equal to the preset time window, the current short message is allowed to be sent, and the current timestamp is written into the target memory block occupied by the earliest timestamp. According to the method, the memory overhead and the processing delay can be remarkably reduced while the condition that the sending amount in any continuous time window does not exceed M strictly can be ensured.

The utility model relates to sesame oil raw material cleaning technical field, and disclose a raw material cleaning device for sesame oil processing, including cleaning tank and conveyer base, the outer surface fixed mounting of cleaning tank has the pipe support, this raw material cleaning device for sesame oil processing, through the water in the water tank is transported to the pipe support of the outer surface of cleaning tank by the pump body through the communicating tube after the filtration purifier, again even sprinkling through the shower head, drive unit drives the stirring piece rotation simultaneously, completely stripping surface soil, dust and other impurities, after cleaning, drive motor drives the door plate rotation to open the pass, sesame falls into the water drainage caterpillar band of conveyer base, in the water drainage caterpillar band operation, the superfluous moisture on the surface of sesame drops through the caterpillar band gap, and the water that drops is backflowed to the water tank through the communicating frame, and the circulation system that the water tank, filter, pump body constitute, after filtering and purifying to the shower head after the recycling sewage is transported again, this flow guarantees sesame cleaning effect simultaneously, thereby reaches the production continuity and resource utilization efficiency of promotion.

This invention relates to a method and system for enterprise production safety management based on process control, belonging to the field of safety management technology. The method includes: when a risk is identified based on operational data associated with safety equipment, executing: generating a scheduling plan, the scheduling plan including scheduling frequency, scheduling time period, and scheduling quantity; and controlling the scheduling system to execute the scheduling instructions corresponding to the scheduling plan. This invention classifies inspection items into safety equipment categories and obtains operational data and inspection information associated with safety equipment under each category; it identifies abnormal trends by analyzing the changing trends of inspection information, and determines abnormal trends as faults or alarm signals based on the comparison of deviation values ​​with preset thresholds. Finally, after confirming the effectiveness of the execution, it identifies them as risks, transforming subjective judgment relying on human experience into an automated risk identification process based on operational data and preset classification rules, improving the timeliness of risk identification.

This invention relates to the field of production management technology and discloses a method for controlling the production process of aluminum decorative locking components. The method includes: analyzing production orders to generate a process chain containing sealing, temporary storage in a humid environment, and threaded locking assembly; configuring production site resources, setting the temporary storage area as a buffer station resource with humidity indicators and capacity limitations; establishing a time mapping mechanism to determine the dynamic response relationship between the actual operation time of the locking assembly process and the waiting time after sealing and the environmental humidity index, reflecting the influence of oxide film hydration product evolution on tribological performance; and performing global production scheduling using waiting time and resource allocation as adjustment factors, outputting execution instructions containing specified temporary storage resources and assembly target cycle parameters. This invention solves the problem of cycle instability caused by tribological performance fluctuations by incorporating the evolution of material surface state into the production scheduling logic, thus achieving precise production instructions.

The application relates to an argon pressure maintaining and cooling integrated device for stainless steel pipeline welding, and relates to the technical field of metal material welding, which comprises a welding bin, the outside of the welding bin is provided with an argon pressure maintaining mechanism, the inside of the welding bin is provided with a cooling mechanism, the argon pressure maintaining mechanism comprises a gas storage tank, the outside of the gas storage tank is fixedly connected with a blower, the outside of the blower is fixedly connected to the top of the welding bin, the outside bottom side of the welding bin is provided with a filtering assembly, and the outside of the filtering assembly is fixedly connected to the outside of the gas storage tank. The application has the advantages that through an argon circulation system, the gas storage tank, the blower and the filtering assembly are cooperatively operated, the resource utilization efficiency is improved while the welding quality is ensured, argon is delivered to the welding bin by the blower to form a protective gas layer, oxygen is effectively isolated, oxidation during the welding of the stainless steel pipeline is prevented, and the welding process is efficient, environmentally friendly and economical.

This invention relates to the field of fire protection planning technology, specifically a method for fire station layout and fire equipment configuration based on GeoAI. The method includes: acquiring spatial data related to building identification and constructing a multi-source dataset; determining fire rescue demand points and types based on socio-semantic segmentation using a visual language model, and constructing a dynamic database of fire stations and fire equipment; establishing a comprehensive demand paradigm for fire rescue equipment and decomposing its equipment subsets; determining the optimal pairing of fire rescue demand points with multiple fire stations and evaluating the comprehensive weighted response time; identifying areas with weak fire rescue coverage and determining the initial locations of each candidate fire station; iteratively optimizing the locations of candidate stations to determine the proposed fire station layout scheme; optimizing the spatial layout and equipment configuration of fire stations in conjunction with fire rescue response capabilities; and outputting the fire station layout and fire equipment configuration scheme. This invention achieves differentiated and refined configuration of fire station site selection and equipment, providing a scientific basis for fire protection planning.

This application discloses a health management and resource optimization configuration method for a distributed power supply in a test cabinet. The method includes: collecting electrical and temperature parameters of multiple sub-modules of the power supply during operation; extracting feature vectors representing the degradation state of the power supply based on a sliding time window; obtaining health information of multiple sub-modules; adaptively adjusting the reporting strategy of health information; and outputting power control commands for at least one sub-module. When a sub-module's health risk indicator is detected to exceed a preset risk threshold, the sub-module is marked as a risk sub-module, and at least one type of migrateable load is migrated from the risk sub-module to a candidate sub-module. Output channel isolation control is performed on the risk sub-module, and the power supply path used for status detection is retained. The display priority of multiple sub-modules is calculated, sorted and displayed according to the display priority, and multi-level alarm prompts corresponding to the health risk indicators are triggered simultaneously.

The invention relates to a transparent software updating method and device based on program entity activity modulation, and the method comprises the steps: obtaining state data and service dependence topology of a software component in real time, the state data comprising CPU usage rate, memory usage rate, network throughput and response time; based on the trained prediction model and the current state data, predicting the state data of the software component at the next moment to obtain predicted state data; calculating the activity degree of each software component based on the prediction state data, and determining the state classification of each software component; outputting an update decision through request analysis, window scoring and sequence planning based on the service dependency topology, the prediction state data and the state classification of each software component; the updating decision comprises updating time, an updating sequence and a resource demand; and executing transparent updating based on the updating decision. According to the invention, through prediction of the service dependence topology and the real-time state data, the stability and reliability of transparent updating and the resource utilization rate are improved.

This invention discloses a multi-intelligent machine collaborative method and system based on relative pose. First, the intelligent machines requiring collaboration each perform target detection and model a relative target topology graph. Then, each original node and edge feature is mapped and encoded to a unified dimension using an MLP (Multi-Level Processing) algorithm. Based on this, a GMN (Generalized Network Model) is used to match the two topology graphs, inferring the matching set between nodes in the two graphs. Next, based on the spatial position information of the matched target in the coordinate system of each intelligent machine, the relative pose transformation relationship is calculated. This relationship is then used to spatially align and fuse the perceived information, thereby achieving collaborative perception. The multi-intelligent machine collaborative system based on relative pose specifically includes: a host intelligent machine and collaborating intelligent machines; each intelligent machine includes a perception module, a collaborative perception module, and a collaborative control module. This invention achieves robust multi-intelligent machine collaborative perception in complex environments.

The invention discloses a multi-modal file label automatic generation method, and relates to the technical field of label generation, and the method comprises the steps: firstly constructing a multi-level file label category set as a label matching reference library, then uploading a target multi-modal file, preprocessing a text extracted according to the file, and constructing a file representation vector; finally, the computing power of the current equipment is judged, labels are generated according to scenes, if the computing power is limited, the labels are extracted step by step, and a multi-level candidate label set is generated; if the computing power is sufficient, combining the multi-level label category sets, and directly extracting a candidate label set; thirdly, modifying the word segmentation result by calculating the cohesion degree of adjacent words in the initial word segmentation result, and automatically extracting the multi-level file label again; and finally, calculating a comprehensive cosine similarity value of the generated candidate file tags, and outputting an optimal file tag. According to the invention, effective utilization of resources can be realized, and the accuracy of the generated file tag is improved.

This utility model discloses a nozzle device for a centrifuge containing blast furnace molten slag, including a centrifuge roller, a rubber ring, multiple nozzles, and an air ring. The rubber ring is configured to be extended to cover the cotton-like area under the centrifuge roller. An adjustable nozzle angle mechanism is provided between the rubber ring and the air ring. This mechanism includes multiple adjustable supports, one end of which is fixed to the rubber ring, and the other end is connected to the nozzle. This utility model, by extending the rubber ring, increasing the number of nozzles to at least 12, and combining the adjustable nozzle angle mechanism with an anti-clogging device, clears the blind spots of glue coverage in the cotton-like area under the centrifuge roller, reducing the waste cotton rate. Simultaneously, combined with the air ring groove interlocking structure and auxiliary air duct system, it improves the uniformity of cotton dispersion, reduces nozzle maintenance frequency, increases daily output per line, saves glue costs and waste disposal fees, improves the stability of continuous production line operation and resource utilization efficiency, and meets the requirements of efficient utilization and high-cleanliness production of blast furnace molten slag in the metallurgical industry.

The invention discloses a video imaging adaptive three-dimensional scene synchronous rendering method and system, and relates to the technical field of 3D rendering, and the method comprises the steps: obtaining a rendering performance index of a video, and carrying out the preprocessing of the rendering performance index, and obtaining a rendering performance fluctuation index; dividing a current video scene into a plurality of resource regions, and determining the proportion of a high-density region and the proportion of a detail dense region; detail data are extracted from the synchronous rendering pipeline, and a material transition zone width interval and boundary adjustment parameters are determined; dynamically adjusting the computing resources by adopting a load balanced distribution method; and obtaining the original detail level and texture sampling density in the resource region, performing adaptive adjustment to obtain the optimized detail level and texture sampling density, and generating a balanced image output sequence. According to the method, the stability of the rendering frame rate in the complex dynamic virtual environment, the real consistency of picture details and the overall resource utilization efficiency are improved, and the rendering quality is improved.

The embodiment of the invention provides a workflow allocation method and device based on a multi-cloud environment, equipment and a storage medium. The method comprises the following steps: determining a to-be-allocated workflow, wherein the to-be-allocated workflow comprises a plurality of to-be-allocated tasks with an execution time sequence relationship; obtaining a resource state set corresponding to the plurality of cloud service nodes, wherein the resource state set comprises a plurality of virtual machine states corresponding to the plurality of cloud service nodes; generating a target input text according to the to-be-allocated workflow and the resource state set, and inputting the target input text into the large language model to obtain node allocation information; reading a target virtual machine state set of a target cloud service node corresponding to the node allocation information from the resource state set; and inputting the to-be-allocated workflow and the target virtual machine state set into a pre-trained target decision model to obtain a task allocation relationship between the plurality of to-be-allocated tasks and the virtual machines on the target cloud service node. Therefore, the reasonability of workflow allocation can be improved, and the resource utilization efficiency is improved.

The present application relates to the technical field of slag resource processing, more particularly, it relates to a slag recycling secondary treatment process. It comprises the following steps: titanium-containing blast furnace slag recycling and processing, titanium-containing blast furnace slag resource processing, composite adsorbent preparation, resource secondary treatment and composite phase change heat storage material preparation. In the present application, through the resource processing of the titanium-containing blast furnace slag, the titanium-silicon composite matrix material and the mixture powder can be separated from the titanium-containing blast furnace slag, and the titanium-silicon composite matrix material and the mixture powder can be used for preparing the composite adsorbent and used as the matrix material of the composite phase change heat storage material respectively, so as to achieve the purpose of efficient resource utilization of the titanium-containing blast furnace slag and play the characteristics of each component in the titanium-containing blast furnace slag.

The invention discloses a virtual power plant dynamic scheduling method based on multi-source data fusion, and the method comprises the steps: obtaining multi-source power data in a virtual power plant, carrying out the unification of the multi-source power data, and obtaining an initial data set; constructing a feature matrix according to the initial data set and historical power generation output data, and extracting key factors according to the feature matrix to obtain a characterization data matrix; performing time sequence analysis on the characterization data matrix through a deep learning model to obtain a generated output prediction result; acquiring real-time load change data, and acquiring load fluctuation characteristics according to the real-time load change data; according to the load fluctuation characteristics and the power generation processing prediction result, resource optimization allocation is carried out through an optimization algorithm, and a preliminary scheduling plan is obtained; and optimizing the preliminary scheduling plan through the real-time feedback data of the load to obtain an optimized scheduling scheme.

The invention discloses an ion exchange washing alkaline water recycling system, and relates to the field of water treatment. The system comprises an anion exchanger, a washing alkaline water collection pipeline, an online monitoring unit, a shunting switching unit, a weak acid cation exchange treatment unit, an acid liquid regeneration unit, a pipeline conveying pump, a decarburization unit, an intermediate water tank, a recycling unit and a control unit. The online monitoring unit is arranged at the washing drainage end of the anion exchanger, the water quality of the washing alkaline water is detected in real time, and graded recovery of the washing alkaline water is achieved in combination with the shunt switching unit; the recycled washing alkaline water enters a weak acid cation exchange treatment unit to be subjected to ion exchange treatment so as to reduce the alkalinity of the water body; meanwhile, the weak-acid cation exchange resin is regenerated by utilizing acidic waste liquid generated by regeneration of the cation exchange bed, so that synergistic utilization of acid and alkali resources is realized; the treated water body sequentially passes through the decarburization unit and the middle water tank and then is reused for the pure water preparation system.

The application discloses a method for promoting olivine to reduce nitrate to generate ammonium bicarbonate by using carbon dioxide, and belongs to the technical field of environmental chemical industry, mineral resource utilization and fertilizer preparation. The method mixes olivine and a nitrate-containing aqueous solution to form a reaction system, and carbon dioxide is introduced from the beginning of the reaction, so that the carbon dioxide promotes the release of Fe(II) / Mg active components in the olivine, and is coupled with ammonia / ammonium generated in situ to form an ammonium bicarbonate system. After the above reaction is completed, the ammonium bicarbonate fertilizer solution, slurry or crystal product is directly obtained in the same reactor by cooling, so that an independent ammonia absorption or ammonium bicarbonate synthesis section is not needed. The method can realize the resource utilization of nitrate, the utilization of carbon dioxide and the preparation of nitrogen fertilizer products simultaneously, has a short process, simple equipment, and is suitable for nitrate wastewater treatment, low-carbon fertilizer preparation and carbon-nitrogen collaborative resource utilization.

This application relates to the field of integrated circuit design technology and discloses an on-chip network deadlock prevention method and system based on path reservation and credit backhaul. The core of the method lies in proactively locking virtual channel resources along the entire path via an independent reservation request packet along an adaptive route before data packet transmission. Combined with a "credit backhaul confirmation" mechanism, data packets are only allowed to be injected into the network after the source node receives an confirmation packet, thus transforming resource dependencies into unidirectional credit flow control. Simultaneously, reservation resource management is achieved by setting a distributed reservation state table in each router, and soft reservation and multi-path exploration mechanisms are introduced to improve resource utilization efficiency and path selection flexibility. This scheme fundamentally breaks the conditions for circular waiting, completely avoids deadlock, and eliminates the performance bottleneck of traditional methods when virtual channel resources are limited, achieving high determinism in data transmission, low blocking risk, and high efficiency in resource utilization.

This utility model belongs to the field of irregular-shaped quartz glass processing technology, and discloses an irregular-shaped glass edge grinding and chamfering device. It includes a frame device for support and fixation, and an adjustment device at one end of the frame device for gripping and suction of the irregular-shaped quartz glass for multi-dimensional movement and adjustment of the grinding position. A rotary grinding device for rotating and grinding the irregular-shaped quartz glass is located at the end of the frame device away from the adjustment device. A feeding device for circulating and spraying grinding fluid is located on the side of the rotary grinding device away from the adjustment device. This utility model's irregular-shaped glass edge grinding and chamfering device, through the combination of adjustment devices, achieves multi-degree-of-freedom and highly flexible positional adjustment of the irregular-shaped quartz glass in space. It solves the problem of traditional equipment's difficulty in effectively fixing and precisely controlling the grinding of complex curved workpieces, ensuring that the rotary grinding table can contact the chamfers of different contours of the workpiece at the optimal angle, thereby significantly improving processing accuracy and adaptability to the processing range.

The present application belongs to the technical field of Internet of Vehicles and communication security, and discloses a federated learning training method based on vehicle state perception and applicable to dynamic Internet of Vehicles. The method collects vehicle running state information of vehicle clients, preliminarily screens candidate vehicle clients, calculates comprehensive scores of the screened vehicle clients, adopts a client selection strategy combining selection of the top-ranked clients with random supplementation to determine a set of vehicle clients participating in the current round of federated learning, configures local training parameters for the selected vehicle clients according to vehicle speed and computing capacity, performs local training on local data sets to obtain model updates, performs weighted aggregation on the model updates of the effective participating vehicle clients at the server end, introduces a momentum mechanism to smooth the model update process, and obtains new global model parameters. This method effectively improves the stability, robustness and training efficiency of federated learning in a high-dynamic Internet of Vehicles environment.

The application provides a method and system for preparing low-carbon cement by using coal gasification ash in a graded manner, and the method comprises the following steps: dividing the coal gasification ash into carbon-rich ash, medium-carbon ash and carbon-poor ash according to the carbon content; feeding the carbon-rich ash and raw coal into a coal powder preparation workshop to prepare a first mixture as a clinker calcination fuel; feeding the medium-carbon ash into a raw material preparation workshop after metering to be ground and dried together with other raw material components; preparing clinker by decomposing and calcining the second mixture after mixing uniformly and cooling; feeding the mixture of the clinker and other cement components and the carbon-poor ash into a cement preparation workshop to prepare finished cement. The carbon content of the coal gasification ash is divided in a graded manner to obtain coal gasification ash materials with different characteristics, and the cement production process characteristics are combined to be used in three process sections of raw material grinding, clinker calcination and cement grinding, so that the coal gasification ash is used in a large amount and in a large scale in the building material resources, and the carbon emission in the cement clinker production process is reduced.