16 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 a template turnover calculation application software design method based on an intelligent algorithm. The method comprises the steps that a data source is transferred from an original turnover area to a target area and from an excess material library to the target area; the fixing rule comprises template use frequency constraint, turnover constraint of different types of templates and leftover material definition; the variable rule comprises a turnover template carrying distance constraint and a turnover template cutting proportion constraint; turnover calculation, turnover object model pairing and paired model inner template calculation; and the turnover result gradually solidifies the rule according to different scenes. The method has the advantages that through the integrated calculation module, automatic calculation of the template turnover efficiency is achieved, manual intervention is not needed, and the calculation efficiency and accuracy are greatly improved; an advanced algorithm and a data processing technology are adopted, the accuracy of a calculation result is ensured, template turnover calculation requirements in different scenes can be met, and the resource utilization rate is improved and the operation cost is reduced by accurately calculating the template turnover efficiency.

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 provides a low-power-consumption storage system, method and device and a storage medium, and is applied to the technical field of computers, the system comprises a host and a host bus adapter HBA, and the host is connected with the HBA through a PCIe bus; the HBA comprises a first controller, a processor unit and a cache unit, and the first controller is used for obtaining a first target request from a submission queue of a host memory; the cache unit is used for storing to-be-processed information carried by the first target request; the processor unit is used for processing the to-be-processed information and generating response information of the to-be-processed information according to the type of the first target request; and writing the response information into the cache unit, and feeding back the response information to a completion queue of the host memory. According to the technical scheme, a transmission mechanism is optimized, so that power consumption is greatly reduced, the operation cost pressure is relieved, and heat is reduced so as to reduce heat dissipation cost. And high-efficiency data transmission and system stability are guaranteed in performance.

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.

The invention relates to an edge container deployment and power distribution service quick response method. The method aims at the technical field of power systems and information, fully considers the response time, resource utilization rate, error rate and data consistency of micro-services, constructs micro-service processing quality indexes, expands or shrinks the capacity of a container based on the processing quality of the micro-services in the container, predicts the number of the micro-services by using historical data, and improves the quality of the micro-services. The capacity of all the containers is expanded or shrunk uniformly, so that the system adapts to the long-term change trend, resource overload and performance bottleneck are avoided, and the stability and reliability of the system are improved by reducing over-configured resources and reducing the operation cost. Allocating containers for the app based on the micro-service quantity and the data quantity generated by the app in the current time slot and the container computing resources, and allocating the micro-service quantity processed by each container according to the micro-service processing index of the last time slot of the container, according to the method, the saturation degree of each container under an initial allocation strategy is calculated based on the micro-service data volume, the data complexity, the computing resources, the CPU occupancy rate and the storage resources, and the deployment strategy of the edge containers in the same app is adjusted based on the saturation degree of each container, so that unnecessary container migration is reduced, the continuity and consistency of services are kept, the user experience is improved, and the user experience is improved. Therefore, the quick response of the power distribution service is realized.

The present invention relates to the field of engineering management technology, and discloses a management system and method for project supply materials supplied by the first party. The system includes: an interactive module for obtaining supply materials management instructions and sending the supply materials management instructions to the project supply materials management module; the project supply materials management module is connected to a database module and an interactive module, respectively, and is used to call multiple business type data stored in the database module based on the supply materials management instructions, and use RPA automated scripts based on the business type data to perform acceptance management, allocation and accounting management of the supply materials supplied by the first party. The present invention effectively avoids human errors that may exist in manual operations, ensures data accuracy, improves the management efficiency of project supply materials supplied by the first party, and helps reduce the operating costs of enterprises.

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.

The invention discloses a multistage phase change air cooling coupling server intelligent control system, and belongs to the technical field of server heat dissipation. Through combination of the multi-stage phase change cooling device, the air cooling condensation device, the intelligent control module, the fault monitoring and self-recovery system, the user interaction interface and remote monitoring module and the data recording and analysis function module, accurate control and optimization of the heat dissipation requirement of the server are achieved, the stability and reliability of the server are improved, and the service life of the server is prolonged. The method also reduces the energy consumption and operation cost, provides a powerful guarantee for the efficient operation of the server, guarantees the safe and stable operation under various conditions through the real-time monitoring and adjustment of the operation state of the data center, reduces the demands of manual intervention through the self-learning and self-adaptive capabilities of the intelligent control system, and improves the safety of the data center. Therefore, the maintenance cost is reduced.

The present application provides a multi-data center management method, device, equipment, and storage medium, which belongs to the field of data center microgrid scheduling. The management method includes: obtaining a first predicted value of renewable energy, a second predicted value of thermal energy demand, and a third predicted value of workload of each data center microgrid in the multi-data center microgrid; determining the operating cost of the multi-data center microgrid based on the first predicted value and the second predicted value; determining the data migration constraint based on the third predicted value; optimizing the operating cost of the multi-data center microgrid based on the data migration constraint, and obtaining the data migration status between each data center microgrid and the workload response status of each data center microgrid. The embodiment of the present application can effectively reduce the operating cost of the multi-data center microgrid architecture while maintaining the stability of the multi-data center microgrid system.

The invention provides a non-standard equipment information management and control method and device, which can be used in the technical field of artificial intelligence, and the method comprises the steps: carrying out the conflict detection of received input attribute information through an attribute constraint relation in a pre-constructed non-standard equipment information organization structure; if the input conflict is detected, generating a conflict correction message; if the input conflict is not detected, writing the input attribute information into a non-standard equipment information organization structure, and generating a non-standard equipment information organization model; according to the input query elements, the non-standard equipment information organization model is matched, the non-standard equipment information query result is generated, the non-standard equipment information organization structure can be dynamically adjusted according to the process requirements, the requirements for flexibility and variability of the non-standard equipment component structure are met, and the non-standard equipment information query efficiency is improved. Information sharing of the non-standard devices is achieved through the non-standard device information organization structure, the data structure is simplified, the retrieval efficiency is improved, and therefore the operation cost and the time cost of an enterprise are reduced.