9 results about "Operational costs" patented technology

The invention relates to the technical field of packaging, in particular to an intelligent metering method for remnant base paper rolls of a corrugated paper board assembly line. The intelligent metering method for the remnant base paper rolls of the corrugated paper board assembly line comprises steps as follows: a plurality of base paper feeding positions are arranged in the conveying direction of the assembly line at intervals, a base paper feeding frame is arranged in each base paper feeding position, and two base paper feeding rolls located on two sides of each base paper feeding frame are arranged on the base paper feeding frame; each base paper feeding roll is provided with lap recording sensors and incremental encoders, the lap recording sensors are used for monitoring the number of paper feeding laps of base paper clamped on the corresponding base paper feeding roll, the incremental encoders are used for monitoring the length of each lap after the base paper on the base paper feeding roll passes by one lap, and the lap recording sensors and the incremental encoders are connected with a controller. Intelligent metering can be realized, the operation cost of an enterprise is reduced, labor is saved, and the utilization rate of enterprise resources is increased.

The invention relates to the technical field of high-performance computing resource management, and discloses a computing resource allocation method for a distributed supercomputing center. The method comprises the following steps: on the basis of obtaining real-time computing task and supercomputing center resource data and uniformly quantifying, integrally predicting resource requirements of future tasks; constructing a mixed integer linear programming model with the minimization of the total operation cost as a single target, wherein the total operation cost is the sum of the energy cost, the carbon emission cost, the data transmission cost and the SLA default penalty cost; solving the model by taking the time-varying electricity price, the green energy ratio, the resource capacity and the network parameters of each center as constraint conditions to generate an optimal resource allocation scheme; and then, by dynamically monitoring the resource state and the task progress, the model is triggered to resolve when the resource utilization rate is detected to be unbalanced or default risks, so that self-adaptive adjustment is realized. According to the invention, global collaborative resource allocation across super computing centers is realized, and operation economy, environmental sustainability and service reliability are considered.

The invention discloses an application version release time consumption prediction method and apparatus, a device and a storage medium. The method comprises the steps of obtaining version information of a target application version; for each release link, determining a plurality of time consumption influence factors based on a target time consumption prediction model corresponding to the release link; based on the version information, determining factor values respectively corresponding to the plurality of time consumption influence factors; through a target time consumption prediction model, the release time consumption is predicted based on the factor value, and the release time consumption represents the manual time consumption for releasing the application version; the target time consumption prediction model is obtained based on the historical version release time consumption of the plurality of application versions in the release link and the plurality of time consumption influence factors through fitting. According to the embodiment of the invention, quantitative traceability of time consumption influence corresponding to a plurality of links can be realized, the accuracy of predicting release time consumption is improved, the actual optimization of an application version release process is guided, the delivery quality and the delivery efficiency of the application version are improved, and the optimal control of the operation cost is realized.

This invention provides a mine management system that can help improve the operating costs or efficiency of dump trucks in mines, even when sufficient operational data for dump trucks in mines has not been accumulated. [Solution] The mine management system 1 comprises a storage device 10 for storing the driving history of a dump truck 101, an information processing device 20, and a terminal device 3. If the driving history of an input route input from the terminal device 3 is not stored in the storage device 10, the information processing device 20 selects a route similar to the input route from among the routes for which the driving history is stored in the storage device 10 as a similar route, and calculates an estimated loading time, which is an estimated value of the loading time of the dump truck 101 on the input route, and an estimated waiting time, which is an estimated value of the waiting time of the dump truck 101 on the input route, based on the driving history of the similar route, and outputs the estimated loading time and estimated waiting time to the terminal device 3.

The invention discloses a cost reimbursement transparent tracking method, device and equipment and a storage medium, and the method comprises the steps: verifying the user identity of a current user, and allowing the user to submit a reimbursement application after the verification is passed; after the reimbursement application is received, auditing the reimbursement application, and recording an auditing result on a block chain; when the auditing result is that auditing is passed, a fund payment instruction is triggered, reimbursement funds are paid to the current user, and a reimbursement tracking auditing report is generated, so that automation, transparency and high efficiency of a cost reimbursement process can be realized, the transparency of the reimbursement process is improved, the operation cost of an enterprise is reduced, and the user experience is improved. The method has high practical value and market prospect, can effectively prevent data from being tampered, thereby reducing fraud and errors, improves the robustness and anti-attack ability of the system through decentration, and improves the speed and efficiency of expense reimbursement transparent tracking.

The embodiment of the invention provides an automatic data processing method and device, equipment, a medium and a product, and the method comprises the steps: obtaining a marked service type in response to an automatic data processing event; automatically adjusting the service data according to the automatic execution processing logic of the service type; in response to the fact that the automatic adjustment result is limited adjustment, generating a to-do task based on the first data which does not execute the automatic adjustment; and when the first data in the to-do task meets the limiting factor and the next automatic processing event is detected to be met, continuing to perform automatic processing on the first data. According to the technical scheme, when automatic data processing of the data is limited and adjusted, the to-do task is generated, automatic processing continues to be executed in the next automatic processing event, processing which cannot be completed in time is managed by a system queue and automatically retried, manual intervention and operation cost are reduced, and the efficiency of data processing is improved. And the effect of improving the completion rate of automatic treatment is achieved.

A system for calculating revenue, costs, and margin per man-month for project management, consisting of: a data acquisition module with a data input interface configured to capture or receive project-related financial data, personnel data, and operating cost data from multiple sources and users; a workforce classification module that includes a classification processor configured to categorize the workforce into overseas employees, domestic employees, and third-party hired employees, and calculates man-months for each category separately based on standard working hours and rest and rotation leave cycles; a central calculation module connected to the data acquisition module and comprising an artificial intelligence processor connected to a memory to perform calculations of revenue, costs and margin, wherein the central calculation module comprises the following: a revenue calculation unit configured to: calculate total revenue from multiple sources, including unit rates, labor costs, subcontract revenue, and material delivery revenue; calculate net revenue by subtracting subcontract and material revenue from total revenue; and determine revenue per man-month by dividing net revenue by the total number of man-months; a cost accounting unit configured to: aggregate direct and indirect costs, including consumables, own personnel costs, personnel rental costs, food and accommodation costs, own equipment and vehicle costs, third-party vehicle and rental costs, fuel costs, general expenses, and depreciation; exclude material costs, subcontracting costs, and financing costs from the cost per man-month calculation; and calculate the cost per man-month by dividing the total costs by the total number of man-months; a margin calculation unit configured to: calculate the gross margin by subtracting total personnel costs from net sales; calculate the net margin by further subtracting financing costs, individual business unit overheads, and corporate overheads from the gross margin; and determine the margin per man-month based on the calculated net margin; a benchmarking analysis module that is connected to the central calculation module and offers the following configuration: regular benchmarking analyses of revenues, margins and costs per man-month on a project basis, comparison of financial key figures of similar projects and multiple locations, and identification of performance deviations, trends and inefficiencies; a reporting module that is connected to the benchmarking analytics module and configured to generate monthly benchmarking reports for management, including rolling forecasts and variance analyses; and A user interface module that is connected to the central calculation module, the benchmarking module, and the data entry module, and is configured to: display calculated results for revenue, cost, and margin per man-month; present benchmarking analysis results and performance metrics; provide input forms for data entry and system configuration; and generate monthly benchmarking reports and rolling forecasts for user review.

This invention relates to a dynamic data masking strategy allocation method and system based on data usage paths. The method acquires the data usage path from the data source to the data output end, inputs the data usage path into a pre-configured strategy allocation engine, performs structured parsing based on the key characteristics of the data usage path, and dynamically matches the corresponding data masking strategy based on the parsing results to perform data masking processing. The system includes a path acquisition module, a strategy allocation module, and a strategy execution module, with the strategy execution module decoupled from the business logic. This invention ensures data availability while meeting compliance requirements, significantly improves system adaptability and scalability, reduces operating costs, and has strong scenario adaptability, especially for closed-source tasks. It enables centralized reuse and simplified configuration of masking logic, facilitates maintenance, and reduces the degree of intrusion into existing business system code; it also improves data security and usage compliance, meeting the masking needs of diverse usage scenarios.

The embodiment of the application provides a kind of electromechanical equipment regulation and control method and system, it is related to electromechanical equipment management technical field.The method uses user equipment as computing node to greatly reduce additional hardware investment, it is convenient to expand electromechanical equipment regulation and control system along with the increase of user number, while reducing operating cost, improve system scalability.User equipment completes privacy processing of sensitive data locally, generates spatial information containing space number and crowd type information, only needs to upload spatial information to regulation and control platform, does not need to upload all user data, can reduce data transmission volume, reduce network delay, improve the real-time performance and efficiency of data processing, while effectively guaranteeing user information security.Regulation and control platform directly regulates and controls electromechanical equipment corresponding to space mark according to the spatial information uploaded by each user equipment, to ensure that regulation and control platform responds to environmental changes in real time under low load, so as to improve energy efficiency and environmental comfort.