7267 results about "Operations management" patented technology

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 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.

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 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 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.

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 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.

The invention discloses a medical personnel scheduling table management method and device, a medium and a product, and relates to the field of data processing. The method comprises the following steps: acquiring multi-dimensional portrait data and department resource map data of medical personnel to be scheduled in a department; based on the multi-dimensional portrait data and preset scheduling rules and shift demands, a basic scheduling table of a preset period is generated, and the basic scheduling table covers the conventional workload of a set proportion of the medical personnel; initializing a general scheduling table according to the basic scheduling table; based on the real-time medical demand data, the department resource map data and the current state of the general scheduling table, dynamic adjustment information of the general scheduling table is generated, and the dynamic adjustment information comprises a newly added scheduling instruction or an original shift change instruction; and updating the general scheduling table in real time according to the dynamic adjustment information. According to the invention, the rapid response and dynamic adjustment capability to emergencies and real-time medical requirements can be improved, and the problem that the medical staff scheduling table management flexibility and rationality are insufficient is solved.

Various systems and methods for providing a digital estate plan system are described herein. An online system for managing beneficiaries and assets of a will is configured to access transaction data related to a user; identify a person or a property based on the transaction data; present a confirmation request to the user to confirm that the person is a beneficiary of the will or that the property is an asset of the will; and add, in response to receiving a confirmation from the user, the person to a list of beneficiaries of the will, or the property to a list of assets of the will.

The invention relates to an agricultural microbial preparation production line multi-device collaborative control method and system, and the method comprises the steps: calculating a device health score based on operation state information, combining the device health score with a biological risk index to generate a task release score, and generating a production task instruction when the task release score meets a preset release threshold value, constructing a cooperative interlocking matrix between the multiple types of process equipment and the material handling equipment based on the production task instruction, distributing a control execution instruction to the multiple types of process equipment and the material handling equipment, respectively obtaining equipment feedback state information and material circulation information, executing consistency verification on the equipment feedback state information and the material circulation information, and sending a verification result to the material handling equipment; a consistency verification result is obtained, during manual modification, a revision audit chain corresponding to the control event information is generated, and when the running state information or the control event information triggers a preset abnormal threshold value, a disposal control instruction is generated. The method has the effect of improving the production safety.

Automated storage and retrieval system for managing storage of inventory at a retail facility includes a storage structure with storage locations configured to store containers that contain retail products, and a conveying system that conveys the containers between the storage locations and a product picking station. A computing device analyzes one or more business rules to identify at least two containers that are eligible for the product merging therebetween and causes the conveying system to move these two containers from the storage structure toward a picking station selected by the control circuit. When the two containers identified as product merging eligible arrive at the picking station, these two containers are kept by the conveying system at the picking station until all of the products are removed from a first one of these two containers and merged together with the products stored in a second one of these two containers.

The invention relates to the technical field of marketing accurate pushing, and particularly discloses a marketing accurate pushing system based on a multi-agent engine, and the system comprises the steps: obtaining the label information of each enterprise; bank financing adaptive portrait processing is carried out through a portrait construction agent in the multi-agent engine, and portrait feature data of an enterprise is generated; meanwhile, demand model output data of each enterprise is generated; screening out a pushable enterprise set meeting bank financing conditions, and dynamically pushing the pushable enterprise set to the target bank; the response speed and accuracy of banks to enterprise financing demands are improved, and more accurate financing services are provided for enterprises. Powerful support is provided for efficient butt joint between banks and enterprises, and reasonable allocation and utilization of resources are ensured.

The invention relates to the technical field of cow breeding early warning, and discloses a cow breeding early warning system and method based on multi-feature fusion analysis, and the system comprises a data collection module, a feature fusion analysis module, an abnormity early warning module, a decision and suggestion module, and a breeding data display module. The feature fusion analysis module is used for analyzing the health condition, the production performance and the environmental comfort of the dairy cow based on the physiological data, the feeding data and the colony house environment data of the dairy cow; and the decision suggestion module is used for making a dairy cow breeding optimization suggestion according to the feature fusion analysis result, and the dairy cow breeding optimization suggestion comprises optimization of feed distribution and dynamic division of activity areas. The system effectively solves the problems of health management lagging, resource waste, difficulty in recognition of environmental hidden dangers, unreasonable region division and the like in traditional cow breeding, remarkably improves the intelligent level of pasture management and breeding efficiency, and has a wide application prospect.

The present invention relates to fully secured parking lot order pickup automation for online orders placed in advance and for orders placed at locations where orders can be picked up by customers, while staying inside their vehicles, from pickup lockers installed at parking spaces in parking lots. The present invention also relates to fully secured electronic bins accessible from secured or unsecured area for merchants to leave orders and accessible from unsecured area for customers to pick up orders. The present invention also relates to fully secured self-checkout of products using pass-thru lockers accessible in secured area to drop products inside pass-thru lockers and accessible from unsecured area to pick up products from pass-thru lockers.

The invention discloses a municipal facility maintenance strategy optimization method and system based on big data driving, and relates to the technical field of urban operation and maintenance management and big data decision support, and the method comprises the steps: carrying out the data cleaning and standardization processing of multi-source operation state data, and forming a facility state database; the method comprises the following steps: extracting facility degradation trend characteristics, establishing a facility state degradation prediction model, calculating a comprehensive health degree index, establishing a multi-objective optimization model based on prediction of a degradation trend, solving an optimal maintenance opportunity and a resource allocation scheme, and generating a maintenance strategy list. And comparing and analyzing the maintenance strategy list with historical maintenance effect data in the facility state database to obtain strategy optimization feedback parameters, and dynamically updating parameter setting of the facility state degradation prediction model. According to the invention, the management mode from passive fault repair to active preventive maintenance is changed.

The invention relates to the technical field of building digitization, in particular to a public service facility planning method and system based on population prediction. The planning method comprises the following steps: dividing residences in an object area into a plurality of residential areas, and predicting population scale data and population structure data of each residential area; determining the predicted number of people of each age group in each residential area within the preset age limit, and calculating the average value of the activity ability of each residential area in each year within the preset age limit; and determining the walking limit distance of the target group in each residential area in each year within a preset age limit according to the activity capability mean value, and taking the minimum value of the walking limit distance of each residential area within the preset age limit as a reference limit value. And determining the location of the public service facility in the object area, so that the distance value from each residential area in the object area to the location is smaller than or equal to the corresponding reference limit value. The method can improve the overall quality of urban planning, and has positive significance for saving social resources.

The invention discloses a store intelligent replenishment recommendation method, electronic equipment and a computer readable storage medium, and the method comprises the steps: collecting the stock and monthly sales of store commodities, and collecting the commodity information of online hot selling commodities, the commodity information comprising a popularity score; based on the inventory amount and the monthly sales amount, calculating to obtain an inventory maintainable day number; when the inventory maintainable days are smaller than a preset threshold value, a first replenishment amount is obtained through calculation based on the predicted sales volume, the current inventory and the safety inventory in the replenishment period, the safety inventory is calculated through a formula I, and when the store commodities are online red hot selling commodities, the first replenishment amount is calculated through a formula II based on the popularity score and the monthly sales volume; adjusting the first replenishment amount according to a preset proportion to generate a second replenishment amount; and generating a replenishment order based on the first replenishment amount and / or the second replenishment amount. The problem that an existing store replenishment decision-making method is low in efficiency is solved.

The present invention provides a system and method for an electricity utility or retail electric provider to incentivize a retail electricity customer to increase the amount of renewable energy they consume through an innovative pricing plan and digital application by letting customers understand how much renewable energy is on the electric grid at any point in time. They receive incentives for using more renewable energy and may also compete against each other or a benchmark customer to have the greenest energy consumption.