5243 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 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.

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 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 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 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.

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.

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 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.

A change management task automation system reduces manual effort required for change audits and streamlines the change management process, enforcing preventative compliance with change management best practices. A plurality of automation modules provides change management task automation functionality for several processes, including software change management, database change management, key report change management, data lake change management, patch change management, and controlled version document repository management automation.

The invention relates to the technical field of warehouse management, and discloses an in-warehouse goods checking method, system and device and computer equipment, and the method comprises the steps: obtaining a tray code on a target checking goods location and the information of a material box on a corresponding tray; identifying the material box information by adopting a deep learning identification algorithm, and determining material specifications; based on the material box information, a preset stacking rule corresponding to the material specification and an AI algorithm, the number of the material boxes on the tray is calculated; and binding the material specifications, the number of the material boxes and the tray codes, and comparing with the upper inventory data based on the tray codes to obtain a cargo inventory result. According to the invention, the tray code and the material box information on the target inventory goods allocation can be directly obtained without continuously moving out the goods at the target inventory goods allocation, the difference between the inventory data and the actual inventory data can be found in time, and the problems of low inventory efficiency and increased inventory time caused by continuously moving out the goods at the target inventory goods allocation are solved.

An automated carbon asset network system and a carbon asset management method are provided. The automated carbon asset network system includes a carbon asset management digital platform realizing a carbon inventory executed for an enterprise through a computer system, and the carbon asset management digital platform includes a carbon asset network establishing module, a carbon asset network connection module, and a carbon asset network update module. The carbon asset management method includes: receiving data for stakeholders, internal or external carbon asset management digital platform, carbon asset management report formats, and carbon inventory obtained through automated customized questionnaires, by using the application program interface; automatically integrating carbon inventory data for supply chains and performing version control; digitally managing a full scope of an organizational greenhouse gas inventory and product carbon footprint information throughout product life cycles for brands in the enterprise; and generating documents according to requirements.

The invention relates to the technical field of agricultural product traceability, in particular to an agricultural product quality safety traceability method, which comprises the following steps: acquiring link traceability data of an agricultural product, and associating and binding the link traceability data with a preset traceability unit of the agricultural product to obtain an initial traceability unit; generating a sorting label based on the initial traceable unit, and pasting the sorting label on the initial traceable unit to form a target traceable unit; and scanning the sorting labels to obtain traceability information, and generating a traceability report according to the traceability information, thereby effectively solving the technical problem that quality safety responsibility is difficult to accurately position and trace due to supply chain link information disjunction in the agricultural product circulation process.

The utility model discloses a temporary storage station, a replenisher and an automatic replenishment system. The temporary storage station comprises a temporary storage goods shelf and a door assembly, a temporary storage goods channel is obliquely arranged on the temporary storage goods shelf, the temporary storage goods channel comprises a goods taking opening located in the low position, the door assembly comprises an upper door plate piece rotationally connected to the goods taking opening, and the upper door plate piece has an opening position for opening the goods taking opening and a closing position for closing the goods taking opening. Due to the fact that the temporary storage station is provided with the inclined temporary storage goods channel, the goods can slide downwards along the inclined temporary storage goods channel and pass through the opened goods receiving opening under the action of the gravity of the goods as long as the goods receiving opening is opened, the whole goods receiving process has continuity and high efficiency through the arrangement, the goods receiving efficiency is improved, and the goods receiving efficiency is improved. And the goods can be moved without manual participation, so that the safety is high. The door pushing assembly of the replenisher can drive the upper door plate piece to be switched to the opening position so as to open the goods receiving opening, and the replenisher body can continuously receive goods from the temporary storage station. The automatic replenishment system comprises a temporary storage station and a replenishment device.

The invention discloses a resource allocation method and related equipment. The method comprises the following steps: in response to a resource acquisition request sent by a demander at a first moment, determining a resource use corresponding to the resource acquisition request; determining an auditing object corresponding to the resource use, and auditing the auditing object; and allocating resources corresponding to the resource acquisition request to the demander under the condition that the audit is passed. By adopting the scheme disclosed by the invention, the rationality and accuracy of resource allocation can be realized.

A centrally loaded self-adjusting positive-hold stowable semirigid framework which both supports and clench's the necks of ubiquitous beverage bottles of a personal size regardless of their varying neck diameters, thereby providing an end user with a reusable, convenient, field friendly, hands-free toting device of universal application for enjoying an unencumbered toting experience with the added benefit of promoting a higher degree of socially responsible behavior in the disposal, recycling, or the repurposing of used ubiquitous beverage bottles.

The invention discloses a nutrition recipe intelligent generation system and method, and belongs to the technical field of nutrition information processing and intelligent recommendation. The system is suitable for individual nutrition management of individuals of all ages, and particularly, optimization design is carried out for infant stages of 0-72 months. The system intelligently generates a personalized nutrition recipe based on individual basic information, growth indexes, nutrition standards, available food materials, user preferences and feedback and other multi-dimensional data, and supports nutrition intake evaluation and dynamic optimization. The system comprises core modules of data input, nutritional requirement calculation, recipe generation, nutrition analysis and interactive display and the like, and expands and supports functions of sensitization screening, regional and seasonal adaptation, work and rest linkage, family sharing and the like. Through fusion of individual growth data and environmental conditions, the system realizes scientific and high-adaptability nutrition recommendation, improves feeding convenience and intervention accuracy, and has a wide application prospect.

The invention relates to the technical field of clothing care, in particular to clothing care equipment and a control method thereof, and aims to solve the problem that existing clothing care equipment is low in clothing material recognition accuracy. In order to achieve the purpose, the material of clothes is determined based on a clothes image; determining a weight change rate threshold value and a humidity change rate threshold value corresponding to the clothes based on the clothes material; when the clothes processing equipment conducts drying work, the actual weight change rate of clothes within first preset time and the actual humidity change rate in the containing cavity are calculated; according to the comparison result of the actual weight change rate and the weight change rate threshold value and the comparison result of the actual humidity change rate and the humidity change rate threshold value, the clothes material is selectively corrected. According to the control method, after the drying program runs, the material of the clothes is corrected in real time according to the weight change rate and the humidity change rate, so that the accuracy of the material of the clothes is guaranteed.

The invention discloses a building engineering lighting resource scheduling method and system based on big data, and relates to the technical field of intelligent control and big data processing. According to the method, the multi-source time sequence data is collected, the resource scheduling association diagram is constructed, the illumination terminals are grouped by using the multi-target adaptive scheduling clustering algorithm, the differentiated illumination control strategies of the resource scheduling partitions are generated, and the operation states of the illumination terminals in the corresponding resource scheduling partitions are controlled; the building engineering lighting resource utilization efficiency is remarkably improved, on the premise that operation safety and lighting quality are guaranteed, precise lighting according to needs, energy conservation and consumption reduction are achieved, the capacity of self-learning and strategy optimization is achieved through feedback data, lighting scheduling is converted from static and extensive states to dynamic and refined states, and the lighting scheduling efficiency is improved. And the intelligent level and the self-adaptive capability of illumination management are effectively improved.

The invention relates to the technical field of supply chain technology, in particular to an aggregation supply chain multi-agent profit clearing system and method based on an intelligent contract, and the system comprises a rule contract module, a distributed account book module, a transaction verification and triggering module, a contract execution and clearing module, and an automatic settlement module. The invention aims to provide the automatic profit clearing and settlement system and method based on the distributed account book technology, contract of profit distribution rules, transaction triggering, contract automatic execution, funds atomization and real-time clearing can be realized, and the problems of trust and settlement efficiency in multi-party cooperation are solved.

The invention discloses a beef cattle whole industry chain management method and device based on digital twinning and a medium, and the method comprises the steps: collecting physiological data in real time through an intelligent wearable device worn on a beef cattle individual, and collecting environment parameters of a farm, a transport vehicle and a processing line through an environment sensor; the physiological data and the environmental parameters are transmitted to a cloud end to construct a digital twinborn model of the beef cattle individuals, the beef cattle variety, genetic information and real-time physiological data are fused through the digital twinborn model, and the weight gain curve and health risk of the beef cattle individuals are dynamically predicted; dynamically optimizing the industry decision instruction of the beef cattle individual through a reinforcement learning algorithm based on the weight gain curve and the health risk; and adjusting an actual production flow based on the optimized industry decision instruction, recording whole industry chain data of the beef cattle individuals based on a block chain technology, and generating a corresponding traceability chain for querying a whole life cycle file of the beef cattle individuals.

The invention belongs to the technical field of artificial intelligence, and discloses an old-age service product recommendation method and device, equipment and a storage medium, and the method comprises the steps: receiving client house data, constructing a virtual old-age service space according to the client house data, and marking a high-risk region in the virtual old-age service space; receiving an interaction instruction, demonstrating a virtual risk scene in a high-risk area of the virtual pension space according to the interaction instruction, collecting behavior actions of a user during demonstration of the virtual risk scene, and generating a first interest value according to the behavior actions; recording and calculating a second interest value according to the residence time and the access frequency of the user in each high-risk area in the virtual pension space; based on each high-risk area, performing weighted summation on the first interest value and the second interest value to obtain a target interest value, determining a target recommended product according to the target interest value, and recommending the target old-age service product to the user; the method can be applied to an implementation scene of product recommendation in the financial field, and the customer conversion rate is improved.

In one example, a hospital bed headboard is disclosed. The hospital bed headboard includes a planar multiple paneled headboard. The planar multiple paneled headboard may be attached or detached from a hospital bed frame. The hospital bed headboard includes a first panel positioned adjacent to a second panel. Each one of the first panel and the second panel is to open and to close an egress in the planar multiple paneled headboard. The hospital bed headboard may also include a third panel. The first, second and third panels may be disengaged (or installed) as a single unit from a mobile hospital bed headboard.

The invention belongs to the technical field of shipping big data application, and particularly relates to a shipping research report generation method based on multi-agent cooperation, and the method comprises the steps: enabling a multi-agent hierarchical cooperation architecture, dividing a whole agent into a plurality of sub-agents with independent functions, and dividing the sub-agents into a management layer and an execution layer; the management layer comprises a project manager agent, an architect agent and a demand side agent; the execution layer comprises a shipping intention recognition agent, a background investigation agent, a content team agent, a review verification agent and a report writing agent; the intelligent agents cooperate with one another, and a shipping research report is written in a popular, easy-to-understand, organized and clear language according to the structure and style of the shipping report. According to the method provided by the invention, human information processing, decision making and operation processes are simulated, a modularized and multi-agent cooperative agent scheme is constructed, and the application of AI in the shipping field is pushed to a new height of comprehensive knowledge creation from operation assistance and single analysis.

The embodiment of the invention provides a non-performing asset complaint and dispatch integrated system and method. The system comprises a case import and initialization module, an intelligent case division and strategy matching module, a disposal execution module, a mediation stage module, a litigation stage module, a case settlement and filing module and a data analysis and optimization module. Data interconnection and intercommunication among a financial institution, an outsourcing institution, a mediation center / law office and a court can be realized, case information of the whole process is collected in a unified manner, and informatization management of the urging and complaint business of the whole process including case distribution, collection, online mediation, electronic signing, file filing, litigation result follow-up and the like is realized. The method draws the dynamic image of the case to formulate a proper disposal strategy, timely allocates the appropriate disposal strategy to the corresponding institutions to carry out disposal work, provides digital intelligent services of one-stop follow-up, full-process scheduling and full-chain solution for the vast institutions, improves the case circulation efficiency, saves judicial resources, optimizes the clearing and receiving effect, and comprehensively reduces the cost and increases the efficiency.