17 results about "Cost Controls" patented technology

This invention discloses a cost control method for comparing and selecting mechanized construction route schemes for overhead power lines. The method involves planning the route based on actual project conditions, determining the initial route length L1, the terrain proportions of the areas traversed by the route, the overall short-distance transport distance, the construction scale, the selection of conductors and ground wires, and the selection of tower modules. It also calculates the cost per kilometer of the project structure under different terrain conditions. The route is then adjusted to be closer to existing rural roads, village roads, and farm roads, reducing the overall short-distance transport distance. The cost per kilometer of the project structure under different terrain conditions is calculated accordingly. Based on the difference in cost per kilometer before and after adjustment, combined with the project route length and the proportions of different terrains, the increased length ΔL of the economical route is calculated. The relationship between the difference between the adjusted route length L2 and the original route length and ΔL is determined. If L2 - L1 ≤ ΔL, the adjusted route is more economical. This method effectively plans more economical and reasonable route schemes that are convenient for mechanized construction.

This invention discloses a collaborative management method and system for the entire warehousing and logistics process, belonging to the field of warehousing and logistics information technology. Addressing the technical shortcomings of existing warehousing and logistics management, such as low inventory accuracy, poor scheduling efficiency, lagging information collaboration, and insufficient cost control, this invention integrates the entire process of inbound, storage, picking, outbound, transportation, and traceability, constructing a closed-loop management system of "data perception - algorithm decision-making - process collaboration - dynamic optimization." Through multi-dimensional data collection, optimized algorithm scheduling, cross-system data collaboration, and full-process traceability technology, this invention achieves precise inventory control, optimized logistics route planning, and efficient resource allocation, significantly improving warehousing and logistics operational efficiency, reducing overall costs, and enhancing management transparency. It is applicable to the digital management needs of warehousing and logistics in various industries, including manufacturing, retail, and e-commerce.

The invention relates to the technical field of automobile dies, solves the problem that the manufacturing difficulty is influenced by mostly neglected physical characteristics such as die structural strength and process complexity in the prior art, and particularly relates to a die C value calculation method based on multi-dimensional data. According to the method, a calculation strategy set comprising a general strategy, a high-order strategy and a cost control strategy is constructed, a current calculation strategy is determined, basic data of a target mold is obtained and preprocessed, a standard feature vector is constructed, and corresponding operation is executed in a standard database based on the preprocessed basic data so as to obtain a corresponding basic correction coefficient. According to the method, nonlinear fitting of the influence of the physical specification and the structural difficulty of the mold on the manufacturing cost is realized, the accurate correction coefficient can be automatically matched according to the specific attribute of the mold, and the subjective randomness of artificial experience estimation is eliminated, so that the final C value can reflect the actual consumption of the automobile mold in the manufacturing process more truly and objectively.

The application discloses a power transmission engineering cost data management method and system, and belongs to the technical field of power engineering digital management. In view of the problems of isolated storage, high tampering risk and insufficient dynamic prediction ability of existing cost data, the application comprises the following steps: firstly, through integration of Internet of Things sensors, manual input terminals and external databases, real-time collection of equipment prices, construction energy consumption, environmental parameters and other data is carried out to integrate multi-modal data; secondly, a multi-node alliance chain is constructed, data blocks are divided according to engineering stages, and the whole life cycle of data is ensured to be traceable, then, a hybrid model combining LSTM time series prediction and graph neural network is deployed for real-time analysis; finally, a multi-dimensional dashboard containing geographic information superposition, risk heat map and resource flow topology is generated according to the data; and the application provides a full-chain digital solution for power transmission engineering cost control.

This invention relates to the field of power engineering cost control technology, specifically to an intelligent cost deviation control method for power plant renovation projects oriented towards a cloud platform. The method includes: establishing a cost monitoring process on an industrial cloud platform encompassing deviation detection, impact tracing, and control decision-making; identifying the initiation point and propagation path of cost deviations during the deviation detection stage; integrating the transmission relationship of project sub-items deviations with external market data flow disturbance signals during the impact tracing stage to map the multi-level impact chain of cost deviations; and analyzing the contribution weight and control sensitivity of deviations at each level during the control decision-making stage to generate a differentiated pre-control instruction set, collecting the cost flow response trajectory after instruction execution, iteratively correcting instructions based on their matching degree with the expected control trajectory, and updating the control strategy online. This method can fully present the deviation attribution logic, adapt control instructions to the characteristics of sub-items, achieve closed-loop intelligent control of cost deviations, and enhance the dynamic adaptive optimization capability of the control process.

The application discloses a kind of multi-channel advertisement intelligent distribution control system and method based on deep learning, comprising the following steps: collecting multi-source advertisement delivery data, structured input dataset including user behavior sequence, advertisement content sequence and channel attribute sequence are constructed;Structured input dataset is encoded to feature vector, and three kinds of feature vectors are generated;Three kinds of feature vectors are input into ternary gate fusion structure, and fusion feature representation is generated;Fusion feature representation is input into improved PLE model, and click rate prediction value, conversion rate prediction value and budget cost prediction value are output;Strategy scoring function is constructed based on the above three prediction results, and the distribution score of candidate advertisement and channel combination is generated;According to distribution score ranking, the highest score combination is obtained, distribution instruction is generated and output to multi-channel advertisement system.The application improves the precision and cost control ability of advertisement distribution strategy under multi-target delivery, and is suitable for large-scale online advertisement delivery scene.

The present disclosure relates to a bulk dry cargo hinterland multimodal transport network and inventory joint optimization method considering uncertainty, which is used to solve the problems of weak network risk resistance, low heuristic algorithm solution quality and slow precise algorithm solution speed existing in the existing multimodal transport network and inventory joint optimization technical scheme. The present scheme presets low-cost nodes around the core hub as backup hubs, establishes a hub dynamic replacement mechanism based on "flat and urgent operation", and designs a Benders-CG solving method based on multiple scenarios, effectively solving the contradiction between network resilience, cost control and solving efficiency.

This invention relates to the field of engineering cost control technology, specifically a construction cost management system for water conservancy projects. The system includes: a data acquisition module that collects data on the entire construction process of a water conservancy project; a quantity calculation module that builds a dynamic quantity calculation model based on the design list and material consumption records to perform real-time quantity calculation; a resource allocation module that outputs time-segmented resource allocation schemes based on an optimized resource load balancing algorithm and construction constraints; a cost control module that integrates quantity data and resource schemes to conduct dynamic cost accounting, identifies deviations by comparing with the cost benchmark plan, and predicts risks; and an instruction feedback module that generates cost correction instructions based on the analysis results and pushes them to the construction control terminal, achieving integrated dynamic management of water conservancy project construction quantity, resource allocation, and cost control.

This invention discloses a rerouting attack detection method for LLM routing systems. The method trains a rerouting attack detector by modeling normal queries and rerouting queries, and then identifies rerouting attacks on new queries during the detection phase. Without relying on large-scale language models for defense inference, it effectively identifies highly covert rerouting attacks, significantly improving the robustness of LLM routing systems in terms of cost control, response quality, and security, and exhibiting good engineering deployability. This invention introduces a diversified rerouting sample generation mechanism to simulate different attacker capabilities and attack scenarios, automatically generating diverse rerouting queries covering multiple possible attack forms. This provides a more representative and comprehensive sample base for subsequent detection model training, thereby improving the detection model's adaptability and generalization performance against different types of rerouting attacks.

This invention relates to the field of workpiece recognition technology, and particularly to a method and system for intelligent workpiece recognition based on graphic description. The method includes: reading a 3D drawing and extracting geometric element information and product manufacturing information; determining the adjacency relationships between surfaces and calculating their included angles based on the extracted geometric element information, and identifying independent processing features on the workpiece; matching the identified independent processing features with a pre-built feature model library to determine the process template corresponding to each independent processing feature and calculating the corresponding processing dimensions; calculating the processing time for each independent processing feature based on the processing dimensions and a preset process parameter library, summing the total processing time, and calculating the total processing cost of the workpiece. This invention matches corresponding processing process templates to different processing features, thereby achieving automatic calculation of processing costs. It enables cost calculation before workpiece production, improving the accuracy of cost control.

This invention discloses a token-based AI inference scheduling, measurement, settlement, and computing power trading method and system, belonging to the field of artificial intelligence computing power infrastructure technology. This invention uniformly encodes multimodal input data into token sequences to generate task quantification tags; the scheduling engine allocates computing power based on the node's single-second token processing capacity profile using a fourth-order matching algorithm; real-time high-precision measurement of input, output, and context tokens is achieved through measurement probes embedded in the computation graph, and pre-deduction and on-the-spot settlement mechanisms are used for cost control; after task completion, a settlement document is generated, hashed, digitally signed, and written to the consortium blockchain distributed ledger for notarization. This invention significantly improves cluster computing power utilization and low-latency performance, achieving accurate measurement and reliable transactions, and is applicable to core scenarios such as large-model commercial inference, heterogeneous computing power scheduling, and computing power trading.

The hospital operation methodology, system, and storage media are based on value chain and data-driven approaches. The methodology includes: constructing a value chain system comprising multiple value chains: front-end settlement chain, procurement payment chain, cost control chain, performance-based compensation chain, and decision analysis chain. Each value chain includes multiple modules. The front-end settlement chain outputs settlement details to the cost control chain based on billing information and budget adjustment instructions. The procurement payment chain outputs procurement expenditures to the cost control chain based on procurement information and procurement optimization instructions. The cost control chain outputs cost accounting results to the performance-based compensation chain based on settlement details, procurement expenditures, and cost control instructions. The performance-based compensation chain outputs performance results to the decision analysis chain based on cost accounting results and performance correction instructions. The decision analysis chain outputs budget adjustment instructions, procurement optimization instructions, cost control instructions, and performance correction instructions to the remaining value chains based on performance results, and outputs analysis and decision-making results.

This invention discloses a construction cost control method, system, and storage medium, relating to the field of construction cost management technology. The method includes: S1, constructing a holographic identification framework for implicit costs throughout the entire construction cycle, defining the types, occurrence scenarios, and accounting rules of various implicit costs, covering all implicit cost occurrence stages in the entire process of construction preparation, main construction, decoration and renovation, and final acceptance; This invention achieves comprehensive coverage and systematic identification of various implicit costs by constructing a holographic identification framework for implicit costs throughout the entire construction cycle, and establishes a correlation network between implicit costs and multi-dimensional influencing factors by collecting unstructured data of the construction process in real time through IoT devices and combining it with knowledge graph technology, thereby achieving accurate identification and source analysis of implicit cost inducing factors and transmission paths, and achieving early warning and proactive intervention of implicit costs by setting a dynamic threshold early warning mechanism.

The invention discloses a metering equipment cost control wiring simulation test method and system, and mainly relates to the technical field of electric power system metering automation test. Comprising the following steps: acquiring cost control wiring configuration information of to-be-tested equipment; constructing a virtual simulation model mapped with the virtual simulation model; generating a multi-dimensional test signal set containing a continuous electrical quantity signal sequence and a discrete communication message sequence; applying the signal to the virtual model and the to-be-tested device at the same time; synchronously acquiring an actual response signal of the to-be-tested equipment; and performing multi-dimensional consistency comparison on the actual response and the model simulation response to generate a test conclusion. The system comprises a parameter acquisition module, a model construction module, an excitation generation module, a signal application module, a response acquisition module and an evaluation and diagnosis module. The method has the beneficial effects that the automatic and high-precision simulation test of the cost control wiring correctness and the function integrity is realized, the real power grid wiring operation is not needed, and the test safety, efficiency and accuracy are remarkably improved.

The invention relates to the technical field of medical insurance quality control, in particular to a medical insurance fee control intelligent quality control system and method based on a rule engine, and the system comprises a diagnosis and treatment element range determination module which is used for the rule engine to read a medical insurance payment rule set according to a rule configuration sequence, extract a diagnosis and treatment element field list, and send the diagnosis and treatment element field list to a medical insurance payment server; outputting a controllable diagnosis and treatment element range conforming to the screening condition; the input state updating module is used for judging the correlation between a change field and the controllable diagnosis and treatment element range by taking the change field of the doctor end as a trigger condition, reading the value of the change field and taking the value as an input state when the correlation meets a threshold value, and updating the field of the input state; the payment state judgment module is used for calculating the blocking cost of each rule unit and judging the medical insurance payment completion state based on the blocking cost; and the quality control intervention module is used for taking the rule unit with the minimum blocking cost as a reference rule unit, generating intervention action intensity and determining an intervention action type based on the intervention action intensity.

The systems and methods described herein support tag-based resource limits or quotas in a cloud infrastructure environment. Cloud administrators generally have no ability to limit resource usage in an existing cloud. The granting of permissions to users to create resources allows them to create any number of resources up to a predefined account limit. Tags are associated with resources, allowing administrators to limit users' resource usage to an appropriate level by allowing fine-grained cost control. Usage of resources in a tenancy associated with a resource tag corresponding to a request characteristic of a request to provision resources is determined, and compared to a plurality of tag-based quotas, wherein the request to provision resources is discarded based on the determined usage exceeding one of the plurality of tag-based quotas.