9 results about "Performance guarantee" patented technology

The invention belongs to the technical field of robot intelligent control and energy management crossing, and particularly relates to a robot servo system self-adaptive energy-saving control method based on a task power spectrum, which comprises the following steps: establishing a task power spectrum model based on multi-modal sensor data fusion, and quantifying robot task dynamic characteristics; establishing a multi-physical field coupling loss model comprising a motor loss model and a power device loss model, cooperatively optimizing the bus voltage and the PWM switching frequency based on the power spectrum model and the loss model, and determining an optimal working point parameter combination; smooth parameter switching is realized by adopting a variable parameter self-adaptive predictive control algorithm; system global energy efficiency optimization and control performance guarantee are realized through a three-layer control architecture comprising a cognitive layer, a decision layer and an execution layer and a four-domain collaborative optimization mechanism in a time domain, a frequency domain, an energy domain and a heat domain. According to the method, the prediction precision under extreme working conditions is improved by adopting multi-physical coupling modeling, the performance degradation of a traditional method is avoided, and the robust performance of the system is improved.

The invention discloses an expressway construction project quality digital detection method and system, and belongs to the field of data processing.The expressway construction project quality digital detection method comprises the following steps that full-life periodic performance data of key parts of project facilities are collected, cleaned, aligned and subjected to feature engineering; the method systematically solves the problems of'heavy short-term qualification and light long-term performance 'in the prior art, and lays a data foundation of long-term evaluation by collecting and processing full-life periodic performance data; a digital twinborn model fusing real-time data is constructed, mechanics and a material degradation algorithm are integrated, dynamic simulation of long-term performance evolution of the structure under the environment and load effect is achieved, a machine learning algorithm is implanted, real-time evaluation of structural damage and prediction of the future performance degradation trend are achieved, and the method is suitable for large-scale popularization and application. Potential risks can be identified and pre-warned at the early stage of operation, so that the quality control is changed from passive acceptance to active performance guarantee throughout the whole life cycle.

The present application relates to the technical field of administration, in particular to a security personnel intelligent scheduling system and method based on hierarchical architecture. The system adopts five-layer architecture of data management layer, feature calculation layer, intelligent core layer, decision support layer and user interaction layer to realize business logic decoupling. The method core includes: converting requirements into structured portraits through a project analyzer; the intelligent scheduling engine adopts a multi-objective evolutionary algorithm integrating robust optimization, generates a resilient scheduling scheme capable of resisting the worst absence scenario by defining an uncertain set of personnel availability; the dynamic scheduler adopts an online algorithm with a guaranteed competitive ratio to provide real-time decisions with bounded performance for unpredictable temporary tasks. The scheme realizes the change from post-event remediation to pre-event prevention, guarantees business continuity, and provides quantifiable performance guarantees for scheduling decisions in dynamic environments.

The invention relates to the technical field of administrative management, in particular to a security personnel intelligent scheduling system and method based on a layered architecture. The system adopts a five-layer architecture of a data management layer, a feature calculation layer, an intelligent core layer, a decision support layer and a user interaction layer to realize business logic decoupling. The core of the method comprises the following steps: converting a demand into a structured portrait through a project analyzer; the intelligent scheduling engine adopts a multi-objective evolutionary algorithm fused with robust optimization, and generates a flexible scheduling scheme capable of resisting the worst absence scene by defining an uncertain set of personnel availability; and the dynamic scheduler adopts an online algorithm with competition ratio guarantee to provide real-time decisions with bounded performance for unpredictable temporary tasks. According to the scheme, shift arrangement is changed from post-event remedy to pre-event prevention, and quantifiable performance guarantee is provided for scheduling decisions in a dynamic environment while service continuity is guaranteed.

The invention discloses a discrete agent-based load group modeling and consistency regulation and control method and system, and the method comprises the steps: building a discrete time load group model based on a load group, and enabling the discrete time load group model to comprise a leader and a plurality of followers; determining a system matrix including an adjacent matrix and a leader connection matrix; dividing the followers by using competition relationship representation; obtaining a low-gain state feedback matrix; setting the maximum response time of regulation and control; in the regulation and control process, a complete intermittent control protocol and a partial intermittent control protocol are generated; respectively calculating control tracks of followers under different control protocols and corresponding saturation constraint values; calculating a consistency error between the system states of the leader and the follower at the regulation and control time k; and judging whether the regulation process is ended or not according to the consistency error. According to the method, control paradigm innovation, heterogeneous system compatibility, time-varying demand adaptation, communication overhead optimization, stable performance guarantee and system self-evolution can be realized, and the flexibility, high efficiency and engineering practicability of power load regulation and control are remarkably improved.

The present application relates to the technical field of artificial intelligence computing power scheduling, in particular to a load balancing and performance guarantee method for multi-modal AI computing power service, comprising: firstly, analyzing request characteristics, extracting a computing work set and a minimum safe capacity to generate a local key-value cache baseline, and fitting to generate a minimal algebraic arrival curve of network direct writing traffic; then, combining the baseline, the curve and the network topology routing hop count to build a key-value cache non-eviction model and solve the physical cache capacity limit; further, determining the number of isolated paths according to the limit and the single-path capacity, calling the hardware register to set the capacity bitmask, and building a space-time physical isolation architecture; finally, when the traffic breaks through the upper bound of the curve, establishing an orthogonal damping constraint relationship based on equivalent arithmetic strength, and synchronously reducing the computing end micro-batch and the network end transmission unit. The present application solves the problem of physical squeezing of local cache by network direct writing through bottom-layer physical isolation and double-end orthogonal feedback.

The invention discloses a service product automatic scheduling method and system. The method comprises the following steps: obtaining multi-dimensional scheduling information of a target work order and candidate service personnel; on the basis of a preset scheduling rule, performing capture-to-score calculation on the target work order and the candidate service personnel, the score calculation being formed by taking a plurality of scheduling rules as factors, configuring a weight for each scheduling rule, and generating a matching score of the work order and the service personnel according to a scoring formula; calling a global optimal matching algorithm in the range of at least one batch or the whole city, and obtaining an optimal matching scheme of the work order and the service personnel according to the matching score; performing scheduling result detection on the optimal matching scheme based on an anomaly detection rule; and if abnormity is detected, performing correction processing on the scheduling result to generate a scheduling result, and if no abnormity exists, taking the optimal matching scheme as the scheduling result. According to the invention, higher accuracy of a housekeeping scheduling result, business consistency and service performance guarantee can be realized.

The application discloses a kind of highway construction engineering quality digitization detection method and system, belong to data processing field, this highway construction engineering quality digitization detection method includes following steps: the full life cycle performance data of key position of engineering facility is collected and is washed, alignment and feature engineering, the problem of prior art "heavy short-term qualified, light long-term performance" is systematically solved, by collecting and processing full life cycle performance data, long-term evaluation data foundation is laid;Build digital twin model fusing real-time data, and integrate mechanics and material degradation algorithm, realize the dynamic simulation of long-term performance evolution of structure under the action of environment and load, implant machine learning algorithm, realize real-time evaluation of structural damage and prediction of future performance degradation trend, so that potential risks can be identified and warned in early operation, so as to change quality control from passive acceptance to active performance guarantee throughout the life cycle.

The invention provides a computing task unloading method based on space-ground cross-domain multi-slice computing resource management. The computing task unloading method comprises the steps that a ground MEC system comprises a plurality of MEC areas, and each MEC area is provided with at least one server for providing computing services; constructing a ground time delay model, an inter-satellite routing time delay model and a total time delay model; constructing a slice isolation degree evaluation model according to a duration ratio capable of guaranteeing calculation of slice isolation performance indexes in the total observation time; constructing a target function according to the average resource utilization rate, the average resource reuse degree and the user side performance guarantee rate of the ground MEC system within the total observation time; obtaining the time delay of unloading the calculation task to each server through a ground time delay model and a total time delay model, and constructing a constraint condition of a target function in combination with a time delay requirement of the calculation task; and solving the objective function, and storing the unloading decision of each calculation task in the MEC region when the objective function value is maximum as a final calculation task unloading decision.