69results about How to "Improve resource utilization efficiency" patented technology

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.

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 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 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.

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.

The invention discloses a multi-model collaborative question-answering method and system for the field of hydraulic cylinders. The method comprises the following steps: constructing a knowledge graph of the field of the hydraulic cylinders; receiving a hydraulic cylinder field problem input by a user, calculating a comprehensive score of the hydraulic cylinder field problem, judging whether the problem belongs to a query type problem or not according to the comprehensive score, if so, matching a template from a preset cross-layer query template library according to a semantic vector of the problem, and if not, matching the template; automatically generating a query statement adaptive to the current problem by combining a component parameter-assembly relationship-design specification three-level association path in the hydraulic cylinder domain knowledge graph, submitting the query statement to a database to execute query, and storing a query result; otherwise, judging whether the problem belongs to a calculation type problem according to the comprehensive score, if so, extracting key parameters in the problem, and calling a calculation program library according to the key parameters to complete calculation to obtain a calculation result; otherwise, integrating the query result and / or the calculation result, and generating an answer of the question.

The application discloses a frame structure processing method and device, electronic equipment and a storage medium, relates to the wireless technical field, and the method is based on satellite coverage wave position information to carry out wave position grouping, and obtains a wave position group. According to the wave position group configuration frame structure, the configuration information of the frame structure is pushed to the corresponding user equipment in the wave position group, and wave position group level scheduling and user equipment level scheduling are carried out based on the wave position group. Wherein, the frame structure contains the conversion protection interval between uplink and downlink, and the conversion protection interval is determined based on the maximum round-trip delay of the satellite and the wave position group. Through the application of the technical scheme of the application, through the wave position group level TDD frame structure configuration and two-level scheduling, the network side actual protection interval time domain length is shortened, and the cross time slot interference is avoided, the satellite communication network transmission efficiency is improved, the wideband service demand is adapted, the system cost is reduced, and the resource utilization efficiency and practicability of satellite communication can be improved.

The present disclosure relates to the technical field of computer, and particularly relates to a trap management device, a processor, a chip and an electronic device, which comprises: at least one processing core configured to execute a thread; a processor trap management unit coupled with the at least one processing core; and an interrupt reporting unit coupled with the processor trap management unit; wherein: the processing core suspends execution of the thread and reports a trap event to the processor trap management unit in response to the thread executed therein satisfying a trap condition; and the processor trap management unit performs coordinated management and triggers the interrupt reporting unit to report an interrupt to an external debugger in response to receiving the trap event. According to the embodiment of the present disclosure, the resource utilization efficiency of the processor in a debugging or monitoring scenario can be effectively improved.

This application provides a residual film spreading and soil-separation device, relating to the field of agricultural environmental protection machinery technology; it includes a frame, a spreading device, and a soil-removing device; in the spreading device, at least one spiked roller is rotatably connected at both ends to the side wall of the spreading frame, and a second separating screen is connected to the side wall of the spreading frame and located below the spiked roller; in the soil-removing device, a soil-removing protective cover is installed on the outside of the frame, and both ends of the spiral shaft are rotatably connected to the side wall of the soil-removing protective cover, with multiple baffles installed on the spiral shaft, and a first separating screen located below the spiral shaft. When the spiral shaft rotates, the baffles beat the residual film mixture on the first separating screen, separating the residual film, cotton stalks, and soil in the mixture; this device realizes the spreading and soil-separation of the residual film mixture, improving the cleanliness of the residual film impurity separation, and further improving the resource utilization efficiency of the residual film.

The application relates to the technical field of path planning, in particular to a crowd-sensing cooperative optimization method and system based on evolutionary fusion two-stage mixing. The method comprises the following steps: constructing a multi-agent cooperative optimization model of a heterogeneous space based on a mobile crowd-sensing operation scene; adopting a stage-type evolutionary fusion strategy to deeply fuse MOPSO and NSGA-II, and constructing an EF-DH algorithm; using the EF-DH algorithm to perform unmanned aerial vehicle multi-target path planning based on the constructed multi-agent cooperative optimization model, including first-stage unmanned aerial vehicle cluster path optimization and second-stage ground operation personnel task optimization; and performing air-ground cooperative execution and dynamic re-optimization based on the path planning. The evolutionary fusion two-stage optimization algorithm fusing MOPSO and NSGA-II is constructed, and the global search capability and local convergence performance of the multi-target optimization problem are effectively improved.

The utility model discloses a horizontal concrete mixing device, including support seat, the horizontal setting of support seat has the mixing jar, the horizontal rotation connection of mixing jar in has the stirring shaft, a plurality of stirring wheels are fixedly sleeved on the stirring shaft, the drive mechanism for controlling the rotation of stirring shaft is provided on the mixing jar, a plurality of auxiliary mixers are provided on the stirring shaft, and a plurality of auxiliary mixers are arranged at intervals with a plurality of stirring wheels, every auxiliary mixer includes a plurality of support shafts, a plurality of support shafts are arranged at equal intervals along the circumference of stirring shaft, every support shaft is set along the radial of stirring shaft respectively, and is rotatably connected with stirring shaft, the overturning stirring wheel is fixedly sleeved on every support shaft respectively, and the control member is provided on the mixing jar, and the control member is used for controlling all support shafts synchronous rotation. The utility model can promote the relative motion effect between the components of raw materials to improve the stirring efficiency and stirring effect.

The utility model belongs to cutting equipment technical field especially relates to a cutting equipment of granite, including receiving material box, the side of receiving material box is provided with side support, is provided with rotary drive mechanism above side support, receiving material box one end is provided with end support, the end away from end support of receiving material box is opened as open mouth and is provided with has the slot above the open mouth, is provided with pull -out board in the slot, is opened as open mouth in receiving material box top, is provided with bearing seat symmetrically above receiving material box, is provided with rotating shaft in bearing seat and rotating shaft is close to rotary drive mechanism one end of setting up rotating wheel, rotating wheel is connected with rotary drive mechanism rotation through belt, is provided with saw blade on rotating shaft, is provided with sliding mechanism above receiving material box, is provided with L shape's load plate above sliding mechanism. The utility model has solved the problem of dirty and disorderly environment in the work site, eliminated the security risk brought by wet and slippery, also through the mixture of mud and water convenient to collect, created favorable conditions for subsequent water resource recovery or solid waste treatment.

This invention relates to an intelligent scheduling method and system for new energy logistics fleets that coordinates dynamic task allocation and energy replenishment. The invention constructs a multi-dimensional disturbance vector by collecting parameters such as the time window offset, spatial dispersion, load mutation rate, and emergency level transition of new tasks. Within a sliding time window, Shannon entropy is used to quantitatively characterize the uncertainty of the task flow, distinguishing between high-disturbance and steady-state regions. The invention adaptively adjusts the energy constraint set based on the task uncertainty state, dynamically relaxing the lower energy limit in high-entropy regions and compensating for the impact of battery aging and degradation in low-entropy regions. It achieves globally optimal vehicle-task-energy ternary matching under the constraints of path continuity and task uniqueness using mixed-integer linear programming, and realizes online adaptive correction of the entropy judgment threshold based on actual execution feedback. This invention improves the responsiveness and energy adaptability to complex dynamic scenarios, effectively reduces the impact of uncertainty, and optimizes operational efficiency.

This invention relates to the field of natural language processing, specifically to a method and system for evaluating and selecting training value of corpus for incremental pre-training. The method involves: acquiring the forward inference results of a base model on a general corpus; segmenting the acquired candidate incremental corpus into text segments; performing forward inference on each text segment using the base model to obtain a first predicted probability distribution; performing forward inference on the lightly augmented text segments using the base model to obtain at least one second predicted probability distribution; calculating four evaluation signals for each text segment based on the first and second predicted probability distributions; weighting and fusing the four evaluation signals to obtain a comprehensive training value score for each text segment; and selecting the target corpus from the candidate incremental corpus based on the comprehensive training value scores of all text segments. This invention solves the problem of a single dimension in corpus value evaluation, effectively controls noisy samples, and significantly improves the resource utilization efficiency of incremental pre-training.

The present application relates to the technical field of data calculation and scheduling arrangement in the power industrial control production scene, and discloses a power industrial control calculation workflow DAG deadlock avoidance method based on incremental topology, comprising: modeling the dependency relationship between workflow input and running state information as a multidimensional dependency graph; locating the affected node set according to the multidimensional dependency graph and the change event, and adjusting the node sequence in the affected node set to obtain an incremental topology sequence, and completing the construction of the affected subgraph; performing explicit loop and implicit loop risk detection processing on the affected subgraph, classifying the risk detection results, combining the classification results with the business target to generate a conflict resolution strategy, so as to realize the directed acyclic graph deadlock avoidance; converting the conflict resolution strategy into executable operations to perform change processing on the multidimensional dependency graph, and performing structure and semantic verification on the change result to verify the deadlock avoidance effect of the workflow directed acyclic graph. The present application can improve the continuous operation capability of the workflow.

A wireless networking method, system, medium, and device for multi-scenario energy storage devices are disclosed, relating to the field of wireless networking technology. The method includes: acquiring the product series of each energy storage device in the target network; determining the master and slave devices based on the product series of each energy storage device; controlling the slave devices to establish a communication connection with the master device based on the Bluetooth MAC address of the master device; and, upon receiving a successful connection signal, acquiring real-time data from each energy storage device and uploading the real-time data to a cloud platform. Implementing the technical solution provided in this application can improve the transmission efficiency of data related to energy storage devices.

The invention relates to the technical field of information system authority control and access management, and discloses a hierarchical authority adaptive access control method and device based on a student information system, and the method comprises the steps: analyzing a user access log, extracting a daily access record, carrying out the statistics of the number of times of access in each time period, and marking a high-frequency access interval; counting key peak intervals for the high-frequency access intervals to generate a time domain behavior set; comparing the role association data with the time domain behavior set, and determining a personalized behavior feature description set; extracting a time rule to generate a temporary permission rule list; according to the system resource occupation data, dynamically adjusting permission rules, and generating an optimized permission rule combination; sequencing according to a time rule to generate a permission allocation sequence; and updating the permission storage structure and automatically executing permission granting operation. According to the method, self-adaptive permission allocation based on the user behavior mode and the system load can be realized, and the system security and the resource utilization rate are improved.

The utility model discloses a positioning fixture for reinforcing steel bars and pouring formworks, which comprises two first clamping plates which are horizontally arranged in parallel and two second clamping plates which are horizontally arranged in parallel, the two first clamping plates and the two second clamping plates are vertically arranged, and two ends of the two first clamping plates are respectively lapped on the corresponding second clamping plates. The first clamping plates and the second clamping plates are connected through fastening screws respectively, and each first clamping plate and each second clamping plate are respectively provided with a positioning notch for a reinforcing steel bar to be clamped in. The steel bar positioning clamp can improve the positioning precision of steel bars, does not need field manufacturing of workers, reduces the burden of the workers, and can be repeatedly used to improve the resource utilization efficiency.

The present disclosure provides a session management method, device, computer equipment and storage medium, and relates to the field of communication. In the method, when a terminal initiates a session establishment request, if there is an established session of another terminal in a user group to which the terminal belongs, a separate session for the terminal does not need to be newly established, but a shared session for sharing is selected for the terminal from the established session of the other terminal in the user group to which the terminal belongs. The network resources corresponding to the same session are shared by multiple terminals, the limitation that each session corresponds to a unique terminal is broken, the network management complexity is reduced, and the resource utilization efficiency is improved.

The utility model discloses a hot galvanizing equipment for steel strand production belongs to steel strand processing field, including mounting panel, the upper surface of mounting panel is installed with two groups of support leg, and the upper surface of two groups of support leg is connected with cooling platform in common, the upper surface of cooling platform is installed with cooling box, the upper surface of cooling box is provided with fan, and the output of fan is linked with condensing box, and the front of condensing box is linked with first water pipe. The utility model sets up utilize fan and steam suction hood, and the water vapor produced in production is introduced into condensing box and condenses, solves the water vapor in workshop diffusion, has improved the working environment obviously, and simultaneously, the novel equipment is equipped with filter plate, water collecting tank and water pipe, can filter and collect the water after cooling and utilize again, avoids the waste of water resources, improves the resource utilization efficiency, realizes the goal of energy saving and environmental protection more, contributes the strength for the sustainable development.

This application provides a configuration method and related apparatus. During the configuration of AOP and TrustZone, it is necessary to first query the configuration status of TrustZone. Upon confirming that TrustZone configuration is complete, it can also be confirmed that xPU is enabled. Then, when xPU is enabled, the configuration parameters of AOP are read through xPU to complete the AOP configuration. This application adjusts the timing during the configuration process, placing the step of reading the AOP configuration parameters through xPU after querying the TrustZone configuration status. This avoids system crashes caused by calling xPU when it is not enabled, improving the success rate of internal system environment configuration and enhancing user experience.

This utility model discloses a cultivation device for corn planting, including a water storage tank with a circulating water bed inside. Multiple water flow shells are arranged in the water outlet direction of the circulating water bed, and a cultivation area is set between adjacent water flow shells. The center of each water flow shell is recessed downwards to form a flow channel. Multiple flow channels correspond one-to-one with multiple outlets of the circulating water bed. Multiple permeable holes are formed on the inner wall of the flow channels, penetrating the water flow shells and communicating with the cultivation area. This utility model, through the lateral water delivery design of the water flow shells, allows water to fill the entire cultivation area via the flow channels. The water seeps out through the permeable holes, diffusing from both sides of the cultivation area towards the center through water infiltration, avoiding the problem of soil particles splashing caused by water directly impacting the soil surface from top to bottom in existing irrigation methods.

The application relates to the technical field of unmanned aerial vehicle inspection, in particular to an unmanned aerial vehicle inspection method and system based on power grid data, an electronic device and a medium, which are based on a resonance suppression circuit and comprise the following steps: calling historical fault records and associated sensor data of power equipment; constructing a three-dimensional model of a power grid site according to collected environment point cloud data and equipment coordinate data; calling historical power consumption records of each affected power consumption area through a data interface; calculating characteristic values of each power equipment according to each historical power consumption record; extracting component images of each maintenance component from power equipment images; and determining a target shooting point of the unmanned aerial vehicle by comparing the component images with corresponding reference clear images. In this way, the technical problem that the existing unmanned aerial vehicle inspection technology lacks intelligent decision-making capability of an inspection sequence is solved, and the intelligent level, resource utilization efficiency and hidden danger discovery capability of the unmanned aerial vehicle inspection are improved.

This invention provides a method for dynamic allocation of distributed cloud rendering tasks based on reinforcement learning. The method includes: acquiring cloud rendering requests and generating request parameter records, scheduling context records, and scheduling observation packages; dividing the rendering tasks to be executed into reversible rendering precursor tasks and irreversible final rendering tasks based on the request parameter records, scheduling context records, and scheduling observation packages, calculating branch survival probabilities, and generating state inheritance identifiers and task inheritance mapping sets; inputting the scheduling observation packages, branch survival probabilities, and task inheritance mapping sets into a reinforcement learning policy model, whereby node agents and scheduling coordination agents generate global scheduling action values, task allocation result sets, and scheduling execution schemes; executing reversible rendering precursor tasks according to the scheduling execution scheme, generating continueable intermediate rendering states and writing them into a state inheritance pool, and when conditions are met, selecting a target node to extract the corresponding continueable intermediate rendering states.

This application provides a seal for a cable connection, the cable connection being a connection between a cable (200) and a terminal block (300b), the cable (200) including an electrical conductor and an insulator located at the outer edge of the electrical conductor and surrounding the electrical conductor, the cable (200) being configured to connect to the terminal block (300b) with its exposed electrical conductor, characterized in that the seal (400) includes: a first sealing portion (400a) configured to surround and seal the periphery of the cable (200); a second sealing portion (400b) configured to surround and seal the periphery of the terminal block (300b); and an intermediate transition portion (400c) configured to cover the electrical connection portion of the cable (200) and the terminal block (300b).

This invention provides a method and system for adaptive elastic scaling of ruggedized computers based on a domestically developed platform, relating to the field of computer resource management technology. The method includes: collecting computing unit operating state parameters to construct a multi-dimensional state tensor; identifying key driving characteristics through tensor decomposition and causal inference analysis; establishing a mapping relationship between load characteristics and resource requirements; quantifying uncertainty to obtain capacity demand prediction results and confidence intervals; and finally determining the execution strategy for scaling decisions. This invention improves the accuracy of resource allocation and the reliability of scaling decisions, reduces resource waste, and enhances system stability.

The invention discloses an intelligent industrial medium actuator control equipment management method and system based on the Internet of Things, and the method comprises the steps: firstly obtaining the operation load and state data of an actuator node through the Internet of Things, and carrying out the partition mapping of the operation load and state data to a corresponding edge operation unit according to the load grade; and each edge unit performs priority arrangement on the input nodes and the standby nodes in the local data set to generate a scheduling sequence. And carrying out cooperative control coupling on nodes in each load segment based on the sequence, and carrying out dynamic change evaluation by integrating all segment coupling results to obtain an operation state evaluation result. And finally, generating a cooperative control instruction according to an evaluation result, and adjusting the running state of the target actuator. According to the method, load partition edge calculation and dynamic intelligent cooperation are realized, and the control reliability, the resource utilization efficiency and the self-adaptive capability of an actuator network are improved.

This invention discloses a multi-process optimization method for CNC grinding machines that balances accuracy and energy consumption, relating to the field of CNC grinding machine process optimization. The method establishes a first relational model characterizing the relationship between process parameters and axial error. This first relational model reflects the relationship between process parameters and the axial error of the CNC grinding machine during actual machining under those process parameters, enabling high-precision prediction of axial error in the actual machining process. A second relational model is also established to reflect the relationship between process parameters and grinding machine energy consumption. Furthermore, multi-objective optimization is performed with axial error and grinding machine energy consumption as objectives, achieving the goal of suppressing spindle axial error while improving resource utilization efficiency and reducing production costs.