10331 results about "Operations management" patented technology

The invention discloses a construction progress control method in project supervision, and the method comprises the steps: calculating the current punctual completion rate and process handover delay time of each subpackage provider according to a real-time progress data set and a pre-established project network diagram, recognizing the progress fluctuation modes of different project stages through a time sequence analysis method, and carrying out the construction progress control according to the progress fluctuation modes. Establishing a correlation model of the sub-packaging quotient and the engineering stage; according to the priority scores, taking minimization of overall construction period delay and resource idleness as objective functions, applying an optimization algorithm, dynamically adjusting a construction plan and a resource allocation scheme of each subpackage provider, and generating an optimized project progress plan which comprises specific work arrangement and resource allocation suggestions of each subpackage provider; a successful coordination strategy in a historical project is analyzed, coordination measures are recommended for project management personnel and a set of communication matrix is generated according to characteristics and progress conditions of a current project, and the coordination measures comprise resource allocation suggestions, process optimization schemes and communication strategy templates.

The invention relates to the technical field of management and control systems, in particular to a digital intelligence system applied to collaborative management and control of water-power engineering construction participating units, which comprises a project data management module covering water-power engineering construction full life cycle management, extracting multi-source information data from various subsystems, and constructing a project view and a project management information base; the project risk analysis module is used for constructing an intelligent risk analysis model for risk analysis and generating a dynamic evaluation result, a graded early warning notification and an auxiliary decision scheme; the project collaborative management module is used for processing graded early warning notification and auxiliary decision-making schemes by using a multi-layer perceptron model, and generating finalizing service achievements and management process records; and the project document management module is used for performing compliance automatic checking and processing on the electronic documents needing to be archived, and dynamically updating and optimizing the project management information base. Through the closed-loop management and control system, the cooperative management and control efficiency of water-power engineering construction participation units is improved.

The invention discloses a poultry breeding monitoring management system based on big data, and relates to the technical field of poultry breeding supervision, the poultry breeding monitoring management system monitors the environment in a poultry house in real time, immediately triggers a behavior monitoring module when abnormality is detected, generates a specific environmental abnormality score, and combines visual monitoring and infrared thermal imaging to realize the monitoring and management of poultry breeding. According to the method, individual behavior characteristics of each poultry are effectively extracted, an individual behavior data stream is generated, individual potential health risks are identified, a health archive is adopted to accumulate long-term behaviors and environmental data of each poultry, and a time sequence analysis model is utilized to identify individual behavior modes and health change trends. Possible health risks are predicted based on historical data and models, management perspectiveness and disease prevention and control efficiency are effectively improved, meanwhile, abnormal features with the most influence are automatically recognized through comprehensive risk scoring and contribution degree analysis and are pushed to management personnel, the health archive of each poultry is updated in real time, and the management efficiency is improved. And the overall operation efficiency of the farm is improved.

The invention provides a finance and tax consultation service method and system based on a block chain, and the method comprises the steps: obtaining finance and tax data of a target enterprise, splitting the finance and tax data into a structured finance voucher and an unstructured bill image, carrying out the cross verification, generating a verification result, and writing the verification result into a distributed account book; when newly added finance and tax data is detected, performing field-level semantic analysis on the structured financial voucher, extracting key business fields, and generating a tax compliance suggestion set in combination with industries and operation regions; based on the physical anti-counterfeiting feature and the verification result of the unstructured bill image, constructing a finance and tax credibility evaluation index, when the index is lower than a preset threshold value, initiating re-checking on an abnormal bill, generating an abnormal record, and performing association marking on the abnormal record and a tax compliance suggestion set; and according to the association marking result and the tax compliance suggestion set, the key business fields and the finance and tax credibility evaluation indexes are subjected to collaborative analysis, a tax optimization scheme is determined, a consultation service report is generated, and the intelligent level and compliance of enterprise finance and tax management are improved.

The invention relates to the technical field of project management, in particular to a BIM-based building project resource scheduling optimization method, which comprises the following steps: based on the current progress state of a construction task, collecting the consumption of constructors, mechanical equipment and materials, comparing the task plan progress with the real-time progress, screening out construction links with the backward task progress, and establishing a construction project resource scheduling optimization model; and judging a resource type, and establishing a task progress offset. According to the method, the construction progress is accurately monitored, real-time evaluation of resource consumption is achieved, waste and scheduling lag are avoided, the construction path is optimized by means of the BIM model, the key path monitoring precision is improved, progress management and control effectiveness is ensured, key path progress deviation is analyzed, the resource shortage risk is recognized, stable supply of construction resources is guaranteed, and on the basis of the influence of resource shortage, the construction efficiency is improved. The resource distribution sequence is optimized, the resource utilization efficiency is improved, the supply chain delivery cycle is matched, the resource scheduling is optimized, the influence of resource supply and demand imbalance on the construction progress is reduced, and the continuous and stable construction progress is ensured.

A computer-implemented method, computer program product and computing system for: monitoring one or more operations within a medical environment; generating an operations management report based, at least in part, upon the one or more operations monitored within the medical environment; and providing the operations management report to a user, wherein the operations management report includes one or more of: an operations management score, an explanation of the operations management score, and a justification for the operations management score.

The invention relates to the technical field of data storage, can be applied to business scenes such as medical health and financial science and technology, and discloses a multi-Pool storage resource adaptive writing method which comprises the following steps: monitoring available storage space, read-write input / output rate, average response time and data access frequency of each Pool; dynamically adjusting the current write-in weight of the Pool according to the monitoring result; converting the current write-in weights of all Pool into probability values, and constructing a discrete probability distribution table; selecting a target Pool through a pseudo-random number generator according to the probability distribution table; and writing the to-be-stored data into the target Pool. According to the method, the running state of each Pool is continuously monitored, and the writing weight is adjusted in real time, so that the problem of resource allocation rigidity under a fixed weight strategy is avoided; in combination with a discrete probability distribution table constructed based on normalized weight and a pseudo-random selection mechanism, selection of the target Pool has certain load balancing elasticity, and data can be more effectively guided to be written into the Pool with light load and excellent performance.

The invention discloses an intelligent livestock breeding traceability method and system, and the method comprises the steps: building an overall framework of the intelligent livestock breeding traceability system based on a micro-service architecture, and employing Spring Cloud Al ibaaba as a micro-service technology stack; livestock physiological data and environmental parameters are collected through Internet of Things equipment, and a livestock electronic file is established; an AI intelligent analysis engine is constructed, and livestock health state evaluation, oestrus prediction and abnormal behavior recognition are achieved; the whole life cycle data of livestock from breeding to selling is recorded based on the block chain technology, and a full-chain traceability system is constructed. The method further comprises the functions of integrating a financial service interface, designing a multi-terminal collaborative application platform, constructing a matchmaking transaction platform and the like. According to the invention, the problems of data islanding, incomplete traceability system, low intelligent level, insufficient system expandability and the like in the prior art are solved, and the accuracy, traceability and system stability of livestock breeding are improved.

The invention discloses a doctor-patient negotiation method and device fusing LLM and a multi-agent architecture, equipment and a medium, and relates to the technical field of doctor-patient negotiation. The doctor-patient negotiation method comprises the following steps: acquiring doctor-patient background information, and constructing a doctor agent, a patient agent and a coordination agent based on a large language model. The doctor agent generates a preliminary treatment regimen. The patient agent generates feedback to the preliminary treatment regimen. The coordination agent parses the feedback, generating a structured acceptance score and a semantic vector. The dynamic belief is updated based on the semantic vector doctor agent. And performing fuzzy utility evaluation on the current treatment scheme, and judging whether strategy adjustment is triggered or not. And the coordination agent calculates the adjustment amount of each issue based on the acceptance difference value, the patient yielding willingness coefficient and the maximum yielding amplitude, and obtains a new quotation scheme. And triggering a belief calibration and strategy reconstruction process at a preset stage node of multiple rounds of negotiation to obtain a new strategy. And when the negotiation round reaches a preset maximum round number, outputting a final treatment scheme.

A method of operating a gaming system may include receiving a plurality of orders. The method may include determining to accept the plurality of orders based on a validation process. The method include determining parimutuel pools associated with the plurality of orders. The method may include updating the parimutuel pools based on the plurality of orders. The method may include recalculating parimutuel odds for sets of selections for the parimutuel pools based on the plurality of orders. The method may include closing at least one parimutuel pool of the parimutuel pools to new orders. The method may include determining final odds for a set of selections for the at least one parimutuel pool and transmitting fixed odds to a wagering platform server when the at least one parimutuel pool will be paid out using fixed odds, wherein the fixed odds are determined based on the determined final odds.

The invention relates to the technical field of financial leasing systems, in particular to a financial leasing system and method based on a cloud platform, and the system comprises a leasing personnel input unit which is used for obtaining leasing demand information; the rental equipment data acquisition unit is used for acquiring equipment state information; the lease service management unit is used for processing lease matching and risk control; the demand unit is used for analyzing the lease demand; the leasing personnel registration unit is used for managing leasing personnel information; the rental platform resource library is used for storing system data; wherein the lease service management unit realizes lease matching and risk management through a dynamic multi-dimensional lease matching and risk control algorithm, and a state time sequence matching model greatly improves the accuracy of lease matching by combining historical data and real-time market demands; the multi-dimensional lease scoring system further considers a plurality of factors such as lessee credit and equipment conditions, and provides a comprehensive evaluation basis for subsequent decision making.

The invention provides a virtual reality simulation training method, system and equipment for wind power plant operation and maintenance personnel and a medium. The virtual reality simulation training method comprises the following steps: step 1, constructing a virtual wind power plant; 2, realizing man-machine interaction between the user and the virtual wind power plant; 3, generating a virtual coach with professional knowledge and training experience, and guiding the operation of the user to realize simulation training of the operation and maintenance personnel of the wind power plant; according to the method, the application potential of emerging technologies such as virtual reality and artificial intelligence in the field of wind power operation and maintenance training is fully exerted, and the method has great theoretical significance and practical value in the aspects of improving industry talent quality, reducing training cost, promoting green and low-carbon development and the like.

The invention provides a customer group dynamic division method and system, and relates to the technical field of customer group management.The method comprises the steps that firstly, commodity related data are collected in real time through a multi-channel data collection module, commodity behavior analysis is conducted in combination with service requirements, features are extracted according to analysis results, and commodities are divided into multiple groups; and then, dynamically dividing customers by combining service requirements, generating initial customer group information, and optimizing and adjusting the customer group information according to the updated user portrait information. And finally, performing preference calculation according to the optimized customer group information, and generating a personalized push strategy. According to the method, through dynamic division and optimization of customer group information, unique requirements and behavior characteristics of each customer can be better met, and personalized services are provided.

A digital commerce networked (e.g., Protocols: TCP / IP, BECKN, . . . ) marketplace for buyer-consumer-Players and seller-merchant-players, particularly micro-small-medium enterprises, coordinated by interconnected regional-provider-auctioneers.Each seller-merchant-player in said marketplace has product-service-activity-attraction offerings, which are analytic-algorithm searched, by each buyer-consumer-players, on said network to select product-service-activity-attraction, based on each buyer-consumer-player's needs-wants and placed in said buyer-consumer-player's shopping bag of icons.Each buyer-consumer-player's icon game dashboard enables earning a discount coupon prize, thereby reducing the published list-price. Prior performance (sales, coupons, . . . ) dashboards, enable each seller-merchant-player to periodically wager on time-of-day slots, to place iconized multi-media up-cross sell advertisements of product-service-activity-attraction, bidding against other seller-merchant-players, who have related product-service-activity-attraction recommendations, which said buyer-consumer-player's analytic search could have discovered.Each regional-provider-auctioneer's dashboard enables coordination of: (1) buyer-consumer-player's conversion-to-purchase, including a “discount coupon” transaction and (2) accounting of (a) seller-merchant-player's product-service-activity-attraction inventory and bag of advertisements and (b) buyer-consumer-player's need-wants icon shopping bag(s) and earned prize coupon bag(s).

The invention discloses a park management method based on digital twinning, particularly relates to the field of park operation, and is used for solving the problem that a multi-source event is difficult to stably chain under the conditions of compensation delay and evidence gap and causes misalignment of disposal triggering. Comprising the following steps of: registering an event in a pool to generate an event number and writing the event number into a platform arrival moment; screening and mapping an anchor point event to a park object identifier and a process stage identifier to generate a management token; checking a stage sequence and an evidence item requirement set according to an event chain rule table in event chain construction and generating a conflict point list; the delay portrait library generates a credible mark when a source is generated and forms a reverse sequence violation spectrum; the digital twin object relation graph forms an influence domain span mark; the closed table is returned to obtain a disposal convergence guarantee level; the cost-sensitive decision tree outputs a disposal template identifier, and the disposal template table generates a management action instruction and a trigger voucher and records an instruction acceptance identifier; and returning, comparing and freezing the exception management token, and updating the event chain rule table and the delay portrait library.

The invention relates to the technical field of human resources, in particular to a human resource intelligent allocation optimization system, which comprises an occupational analysis and prediction module, an occupational path planning module, an emergency allocation management module and a human resource optimization module. According to the invention, by integrating the occupational history and skill data of the medical personnel, accurate prediction and dynamic deployment of occupational paths are realized, talent matching is more accurate through accurate occupational conversion point analysis, resource waste is reduced, and occupational training recommendation is customized for hospital business targets, so that the pertinence and effectiveness of training are improved; the talent training process is optimized, the training effect of professional talents is improved, under the emergency condition, the system can respond in time through real-time data monitoring, rapid and effective manpower allocation is carried out, it is ensured that a hospital can keep efficient operation before emergency medical requirements, through continuous data updating and feedback, a manpower resource allocation strategy is continuously optimized, and the training effect of the professional talents is improved. And the adaptive capacity and the management efficiency of the hospital in a changeable environment are improved.

The invention relates to the technical field of medicine supply chain management, in particular to a medicine supply and marketing evaluation management device and system, and the device comprises a data collection module, an intelligent evaluation module, a dynamic adjustment module and a supervision integration module. The intelligent evaluation module is used for generating a medicine supply and demand balance evaluation result and a risk early warning index by adopting a supply and demand prediction model based on machine learning and combining historical supply and marketing data and real-time market demand fluctuation characteristics; and the dynamic adjustment module is used for starting an intelligent scheduling algorithm and generating a dynamic adjustment strategy when the evaluation result shows that the supply and demand imbalance risk value exceeds the preset threshold value. According to the invention, by constructing a full-link dynamic closed-loop management mechanism, the emergency drug prediction period is automatically shortened to realize rapid allocation when a public health accident occurs suddenly, and the problems of information asymmetry and slow emergency response of a traditional supply chain are solved.

The invention relates to the technical field of information data processing, in particular to a building engineering project data processing system, which comprises a resource demand analysis module, an engineering project-based human resource management and material demand plan, man-hour record and material inventory data collection module, timetable and resource use record arrangement module, resource utilization rate and gap calculation module and a data processing module, a resource status report is generated, and a resource supply status and potential shortage are determined based on the resource status report. According to the invention, through comprehensive data collection and dynamic analysis, the resource management efficiency of the construction engineering project is improved. Updating resource utilization rate and gap information in real time allows for fast and accurate response to resource changes, reducing resource waste and project delay risks. The resource allocation efficiency and the cost simulation ensure that the resource use reaches the optimal economic benefit, and meanwhile, the capability of the project for adapting to uncertain factors is improved. Time conflicts in resource allocation are reduced through risk assessment, and the continuity of project execution is optimized.

The invention relates to the technical field of progress management, in particular to a whole-process project cost progress management method and system, equipment and a medium. According to the method, the engineering project is structurally decomposed, the mapping relation between the cost data and the progress data is established, and real-time monitoring of the cost execution deviation is achieved; the method comprises the following steps: firstly, obtaining divided item engineering data and dividing construction nodes, then calculating planned cost and actual cost of each node, further analyzing cost execution deviation through a mathematical model, and finally establishing a cost progress control curve based on deviation data and generating an adjustment scheme. The construction cost management and the progress management are organically combined, the limitation of a traditional independent management mode is broken through, the construction cost deviation can be found and corrected in time, and the management efficiency and the control precision of an engineering project are effectively improved.

The system develops a set of complete traceability management system based on the block chain technology according to the quality safety and traceability management requirements in the production, processing and circulation processes of traditional Chinese medicinal materials, guarantees the traceability of the whole process from planting to consumption, improves the transparency of a supply chain, guarantees the rights and interests of consumers, and provides precise data support for supervision departments. The system adopts a front and back end separation architecture, a back end is developed based on SpringBoot and interacts with a Fabric block chain network, tamper-proof and verifiable storage of traceability data is realized, and data storage, quality examination and authority management are automatically executed through an intelligent contract; the front end is developed based on a Vue.js framework, smooth user experience is provided, and consumers can inquire complete traceability information of the traditional Chinese medicinal materials by scanning codes. System functions cover full life cycle traceability, block chain evidence storage, intelligent contract management, authority hierarchical control and data visualization, a supervision mechanism is supported to utilize big data analysis to accurately supervise quality problems, and market supervision efficiency is improved. The system guarantees the data security and transparency through the block chain, optimizes the supply chain management, improves the brand value, and assists the digital and standardized development of the traditional Chinese medicinal material industry.

The invention discloses a real-time cost management and control method and system for a pig raising enterprise. The method comprises the following steps: collecting structured data of a whole breeding period of boars, piglets and pork pigs in real time; based on the structured data, real-time cost indexes of the boars, the piglets and the pork pigs are calculated through a preset algorithm; comparing the real-time cost index with a theoretical standard value based on experimental field data; comparing the real-time cost index with a future cost threshold predicted by machine learning; when the real-time cost index exceeds the theoretical standard value or the future cost threshold value, it is judged that the cost is abnormal; and executing a corresponding exception adjustment operation according to the type of the exception cost. According to the invention, the technical problems of fragmentization of data acquisition, lagging of cost accounting, insufficient anomaly detection precision and low manual response efficiency in the prior art are solved.

A retailer initiates a transaction or promotion by sending an offer to a consumer over a chat application. The consumer completes the transaction by accepting the offer in actuating a digital button or otherwise on a computing device or terminal. A digital wallet is generated and the transaction is recorded in an NFT.

The invention discloses an enterprise financing compliance auditing method and device and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: generating a compliance auditing task based on a financing application material after the financing application material for a target enterprise is received, dividing the compliance auditing task into at least two parallel auditing sub-tasks; according to the task type of the auditing sub-task, distributing the auditing sub-task to a corresponding heterogeneous auditing agent for dynamic cooperative processing; wherein different auditing agents execute corresponding auditing subtasks in parallel based on different professional knowledge bases; obtaining a sub-auditing result and confidence output by each auditing agent; and generating a compliance auditing result of the financing application material according to each sub-auditing result and the corresponding confidence coefficient. Accurate compliance judgment is provided for enterprise financing.

The invention relates to the technical field of livestock health management and early warning, and particularly discloses a livestock health management and early warning method and system for animal husbandry based on the Internet of Things, and the method mainly comprises the steps: obtaining the GPS data and monitoring data of livestock, the GPS data comprising a timestamp and a GPS coordinate; calculating an activity distance of the livestock in a specified time period based on the GPS data; judging whether the activity distance belongs to a preset interval or not, and if yes, identifying the livestock from the monitoring data of the specified time period as the livestock to be monitored; and extracting behavior characteristics of the to-be-monitored livestock from the monitoring data of the specified time period, and judging state information of the behavior characteristics. According to the system, the Internet of Things and the data analysis technology are adopted, intelligent monitoring of the livestock activity state is achieved by obtaining the GPS data and the monitoring data of the livestock in real time, the activity and behavior characteristics of the livestock can be effectively monitored, abnormal conditions can be found in time, early warning is made, the burden of manual monitoring is reduced, and the overall efficiency of pasture management is improved.

The invention discloses a medical consumable monitoring system based on data analysis, and relates to the field of medical consumable monitoring based on data analysis. Comprising a data acquisition module, a medical consumable consumption analysis module, a medical consumable level analysis consumable module, a medical consumable demand analysis module, a department consumable consumption analysis module, a consumable monitoring and early warning module and a database. The consumption record of each medical consumable, the consumption of each medical consumable in each quarter and the consumption of each medical consumable of different epidemic diseases are judged and analyzed, and then the supply parameters of the medical consumables, the storage parameters of the medical consumables and the consumption parameters of the consumables in departments are subjected to statistical analysis; according to the method, the required amount of each month time period corresponding to each medical consumable and the consumption value of each consumable corresponding to each department are obtained, various conditions such as seasons and diseases can be considered in multiple aspects, the consumable cost can be reduced, meanwhile, the consumable use condition of each department can be monitored, and early warning can be given out for abnormal conditions.

The invention provides a supply chain optimization method and system based on procurement source searching, and relates to the technical field of supply chain optimization, and the method comprises the steps: calling historical procurement data, and building a historical procurement data set; market matching is carried out, and a market data set is established; carrying out market general risk evaluation on the purchase demand, setting a general risk level, and configuring a supplier number interval; comprehensive supply evaluation of the cooperative suppliers is carried out, and a supply stability coefficient is established; calling an evaluation model according to the screening result of the non-cooperative suppliers, executing adaptation evaluation of the non-cooperative suppliers, and establishing an adaptation evaluation result; adaptive optimization of the suppliers is carried out, and an adaptive optimization result is established; and carrying out supply chain optimization. According to the method and the device, the technical problem that the supplier performance cannot be comprehensively evaluated due to the lack of analysis on the supplier multi-dimensional data in most of the prior art can be solved, the technical goal of analyzing the supplier multi-dimensional data is realized, and the technical effect of comprehensively evaluating the supplier capability is achieved.

The present invention relates to a method for quantitatively evaluating the quality health of pharmaceutical manufacturing sites; specifically, the invention pertains to a method that measures audit readiness, data integrity compliance, and overall operational performance of the pharmaceutical manufacturing sites.

The invention discloses an unconventional feed quality evaluation grading method and system, and particularly relates to the technical field of feed quality evaluation. Conventional nutrients, functional nutrients and harmful substance components are comprehensively analyzed through a high-precision detection technology; constructing a multi-factor synergistic toxicity evaluation model, quantifying the synergistic effect of the various harmful substances based on the toxicity equivalent factors and a matrix interaction analysis method, and outputting a synergistic toxicity index; the overall quality of feed samples is evaluated by combining detection results and toxicity indexes, the feed samples are classified into high-quality, qualified and unqualified grades, targeted application suggestions and risk control measures are provided, a cloud database is constructed to record evaluation data, and an Internet of Things sensor is used for monitoring supply chain quality fluctuation in real time, automatically identifying abnormities and triggering early warning. Dynamic management of feed quality is achieved, scientificity and accuracy of quality evaluation of unconventional feed are effectively improved, potential safety hazards are reduced, and safe popularization and efficient application of the system in the breeding industry are promoted.

The invention discloses an approval path determination method and device and computer equipment. The method comprises the steps of obtaining multi-dimensional data of a to-be-approved transaction, the multi-dimensional data at least comprising metadata of the to-be-approved transaction and attributes of an approval account; generating a plurality of initial approval paths according to a predetermined path generation rule of the multi-dimensional data; the initial approval path is iterated according to a preset adjustment target, a target path is obtained, and the preset adjustment target at least comprises one of the following items: the minimum approval duration and the lowest approval risk degree score. The method provided by the invention at least solves the technical problem of low efficiency of the approval process due to relatively fixed office approval process in related technologies.