3329 results about "Operations management" patented technology

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 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 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 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.

An access point includes an address management part, a transmission prohibition management part, and a transmission part. The address management part broadcasts a group address of a group set for terminals which are able to perform preferential exchange of data frames during a service period to terminals that are members of the group among the terminals under control thereof. The transmission prohibition management part generates a transmission prohibition frame including a first field storing a time length of the service period and a second field storing the group address. The transmission part transmits a transmission prohibition signal including the transmission prohibition frame to the terminals.

The invention discloses a rural highway facility two-dimensional code identifier, a manufacturing method and an identifier management device, and relates to the technical field of two-dimensional code identifiers, the rural highway facility two-dimensional code identifier comprises a signboard, the signboard comprises a signboard body, an identifier publication area and an identifier content area, the identifier publication area and the identifier content area are both made of PVC composite boards, and the PVC composite boards are made of PVC composite boards. A glass bead type reflective coating is sprayed on the surface of one side, and an acrylic acid pressure-sensitive adhesive layer is arranged on the other side. The identification management device comprises a background terminal and a user side, the background terminal is used for realizing rural highway facility data management and event processing operation through module cooperation, and the user side is used for scanning the two-dimensional code on the surface of the signboard to obtain information and initiate interaction operation. According to the method and the system, 'one-path-one-grade 'data can be conveniently obtained by users, the data utilization efficiency is improved, common users can also participate in rural road management, the participation consciousness and enthusiasm of rural road management are enhanced, and the practicability and durability of the identification are improved.

The invention provides a contract generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining contract task information, and generating a compliance strategy graph according to the contract task information; based on the compliance strategy map, a target contract is generated through cooperation of multiple role agents; wherein the multiple role agents comprise a grass simulation agent, a risk control agent and a legal auditing agent. The target contract is generated through cooperation of the multi-role agents, and the accuracy of contract generation is improved.

The invention relates to the technical field of drainage liquid sudden increase early warning, in particular to a drainage liquid sudden increase rapid early warning system based on artificial intelligence. The system obtains drainage volume data and various physiological indexes in real time; according to the difference between the drainage volume data changes of the current patient and the preset similar historical patient and the drainage volume data change condition of the current patient, the drainage abnormality degree is obtained, and the drainage abnormality time period is determined; according to the duration of the abnormal drainage time period of the current patient at the current moment, the change of the abnormal drainage degree in the abnormal drainage time period and the abnormal condition of the physiological indexes, the abnormal drainage degree is determined; and acquiring an early warning degree to perform early warning on the drainage sudden increase abnormity of the current patient at the current moment according to the occurrence condition of the drainage abnormal time period of the current patient at the current moment, the overall abnormal condition of the physiological indexes and the change of the interval duration of the adjacent drainage abnormal time periods. According to the invention, early warning is accurately carried out on drainage sudden increase abnormity of the current patient, so that the harm of drainage abnormity is effectively reduced.

An exchange computer system and methods for using a moneyness index to provide a simplified and user-friendly way for users to trade daily positive or negative returns of an asset. A trade contract is built around a standardized index that tracks the return of an asset over a given period of time.

The utility model relates to the technical field of sanitation vehicle parts, and discloses a sanitation machine sweeper monitoring and early warning device which comprises a support, a sweeping disc is arranged on one side of the support, and sweeping brushes arranged at equal intervals are arranged at the bottom of the sweeping disc. According to the sweeper monitoring and early warning device for the sanitation machine sweeper, the camera is arranged at the bottom of the support, the specific working state and abrasion state of the sweeping disc and the sweeper can be visually displayed, workers can conveniently observe and visually obtain working and abrasion information of the sweeper, convenience is provided for the workers, and the working efficiency is improved. The push rod is moved to drive the sliding block to move, the rotating shaft and the cleaning roller are promoted to rotate and translate under the action of the gear and the rack, then the lens is automatically cleaned, the shooting definition of the camera is guaranteed, a clearer imaging effect is provided, and the problem that an existing device cannot provide more visual video information, and the image quality is affected is solved. And a worker cannot intuitively obtain the specific wear state and the working state of the sweeper.

The invention discloses a hospital energy resource intelligent management method and related equipment. The method comprises the following steps: predicting the output of renewable energy and the energy demand of each department in a future time period by using an LSTM-Attention model; on the basis of a dynamic mixed AHP analytic hierarchy process, the department energy consumption priority is evaluated by comprehensively considering the emergency state, the number of patients, the equipment operation state, historical energy consumption data and multi-dimensional factors of special medical tasks; and formulating an energy scheduling strategy through a multi-objective optimization model by combining the real-time energy consumption demand and the renewable energy source yield of the hospital according to the department energy consumption priority evaluated by the dynamic hybrid AHP method. The problems that due to insufficient application of clean energy and energy storage technology in hospitals, hospital operation cost is high, carbon emission is increased, a traditional system is difficult to dynamically adapt to complex energy consumption requirements, and stable energy supply of key areas cannot be guaranteed can be solved.

A computer-implemented system and method for aligning employee incentives with project performance using smart contracts and distributed ledger technology. Employees can stake funds into company projects and receive payouts based on project KPIs. A network of connected computing devices and sensors to monitor project data, which is analyzed to calculate payouts according to the smart contract terms. The system automates the compensation process, provides AI-powered investment tools, real-time dashboards, and enables decentralized governance. By creating direct employee ownership in projects and utilizing transparent, immutable smart contracts, the invention solves the misalignment issues of traditional compensation models. The unique staking mechanism and comprehensive feature set drives employee engagement and accountability, fostering a true sense of ownership in their work.

The invention discloses an urban rail station full life cycle carbon accounting method, and relates to the technical field of urban rail transit engineering low carbon. The method comprises the following steps: constructing and regularly updating a carbon emission factor library, collecting and storing full-life-cycle activity level data and time information, determining an accounting dimension according to a scene, screening an accounting cardinal number of unit time from the data, accounting carbon emission increment of each dimension of the unit time in combination with the factor library, and finally accumulating to obtain the total amount of full-life-cycle carbon emission. According to the method, complete-cycle carbon emission accurate accounting of the urban rail station is realized, data support is provided for low-carbon decision, and the efficiency and scientificity of low-carbon management of the urban rail station are improved.

The invention provides a rolling electricity price intelligent selection and comparison method suitable for industrial and commercial users. The method comprises the following steps: acquiring power consumption archive data, electric quantity data and transaction parameters of the users; based on the power consumption archive data, the electric quantity data and the transaction parameters, respectively predicting a direct purchase electricity charge prediction value, a retail electricity charge prediction value and an agent electricity charge prediction value of the user in a future preset duration during direct electricity purchase, retail package and agent electricity purchase; comparing the direct purchase electricity charge predicted value, the retail electricity charge predicted value and the agent electricity charge predicted value to obtain a comparison result including an optimal path and a corresponding saving amount; the saved amount in the comparison result is compared with a preset threshold value, and whether a path switching prompt is triggered or not is judged according to the comparison result; and if the path switching prompt is triggered, the transaction authorization document corresponding to the optimal path is generated, and the transaction authorization document is transmitted back to the power marketing system, so that the optimal path can be provided efficiently, and fine control of the electric charge cost is realized.

The invention provides a municipal drainage project full-cycle cost dynamic management method based on BIM and Internet of Things, and relates to the technical field of cost management. Comprising the following steps: completing WBS / CBS / BOQ association and initial progress, and forming a target cost baseline based on a price library and an index library; collecting and standardizing data of the internet of things, evaluating the precision and credibility of the equipment in combination with weather, and marking abnormity; and performing redundancy fusion and weight correction based on the credibility, and generating confidence enhancement data. And performing dynamic measurement and progress updating by linking the base line, performing rolling calculation on period and accumulated cost, quantifying cost deviation, progress deviation and completion prediction, constructing a prediction model, outputting risks, generating control measures, optimizing target cost and the base line, and realizing a full-period dynamic cost management closed loop.

The invention belongs to the field of commodity purchasing, and discloses a blind-eye selective purchasing control method and system based on an intelligent matching technology, and the method comprises the steps: only displaying commodity standard library information through initialization setting to hide a supplier identity, and achieving blind-eye selective purchasing; supplier main data, commodity standard library data and real-time purchase demand data are acquired in real time; calculating a supplier performance score by using a multi-dimensional weighted scoring model to measure a comprehensive performance ability, calculating a cost performance index based on a commodity standard library and a real-time demand to evaluate a commodity comprehensive value, and dynamically generating a contract group quota allocation value in combination with a quota occupancy rate and the performance score; and finally, a matching score is calculated by integrating the performance score, the cost performance index and the quota distribution value, and suppliers are intelligently screened. By adopting the method, the contract resource allocation efficiency is improved, and the limit is prevented from exceeding the limit or being idle; the data security is enhanced, and order tampering and historical migration conflict risks are reduced; and the fairness, the reliability and the automation level of the purchasing system are integrally optimized.

The invention discloses a disturbance accumulation scheduling method for a garment hanging production line, and relates to the technical field of garment production scheduling, and the method comprises the steps: firstly, judging the relation between the number of finished semi-finished products at a station and the total number, and calculating the delayed processing time and an accumulated value; calculating fault-tolerant time, and judging whether to rescheduling according to the relationship between the accumulated delay and the fault-tolerant time; traversing stations, and screening schedulable stations according to skill conditions of equipment and employees; for the stations meeting the conditions, the optimal priority is selected according to multi-dimensional judgment priorities such as the number of clothes hangers in a buffer area and the average processing time; according to the method, accurate triggering scheduling, scientific decision making and dynamic regulation guarantee that the production line is stable and efficient, an effective scheme is provided for disturbance resistance of the garment hanging production line, and the method is suitable for production scenes with explicit and implicit disturbance.

Disclosed in the present invention are a digital management method, system and device for construction process settlement. By systematically, completely and synchronously summarizing "relevant documentation" for progress payment application and settlement during engineering construction, the efficiency of application of a construction unit and auditing of an auditing party for progress payments and settlement is greatly improved, a significant amount of capital interest costs are saved for the construction unit, and income increase such as profit doubling is realized, thereby having positive economic and social benefits for achieving smooth settlement of various construction projects.

The invention relates to the technical field of supply chain management, in particular to a digital supply chain system based on a supply chain management method, which comprises a supplier management selection module used for collecting supplier historical data, performing preprocessing and feature extraction to obtain a supply capability evaluation factor, and combining supply chain supply demand data to obtain a supply capability evaluation result; and the supply and demand matching degree of each supply capability evaluation factor is analyzed, a weight coefficient of each factor is determined by using a superior sequence diagram method, a supplier capability comprehensive evaluation coefficient is obtained through weighting calculation, and a supplier is selected. According to the digital supply chain system based on the supply chain management method, through comprehensive and systematic data acquisition and processing and a scientific supply and demand matching degree analysis and weight determination method, the supply capability of suppliers can be accurately evaluated, so that the suppliers which most meet enterprise demands are selected, and the supply chain management efficiency is improved. The risk caused by improper supplier selection is effectively reduced, the product quality and the supply stability are improved, and the market competitiveness of enterprises is enhanced.

The invention relates to a supply chain bill asset securitization full life cycle dynamic income measuring and calculating system, and belongs to the technical field of supply chain bill processing, and the system comprises a data access module which is used for supporting the manual input of parameters, the automatic importing of bill asset package details, a measuring and calculating plan, and the acquisition of trust transfer-in bill data through a direct connection bill exchange interface; the double-engine calculation module comprises a role dimension income model which is used for calculating sub-item incomes of an asset side, a security side, an intermediary agency and an agency in parallel operation; the cash flow path tracking model is used for simulating fund inflow / outflow according to a time sequence; the visual output module is used for generating a penetrable analysis report of the role dimension and the cash flow dimension; and the dynamic verification module is used for comparing the predicted value before creation with the actual accounting value after creation, and generating a deviation analysis report. The method has the beneficial effects that the accuracy of income calculation is improved, and the stable and sustainable development of supply chain bill asset securitization business is promoted.

The invention discloses a smart retail purchase management method and system, and the method comprises the steps: obtaining a multi-supplier order / quoted price and a store demand, carrying out the adaptive analysis, cleaning and verification, and generating a standardized purchase and suggestion list; evaluating risks based on rules and models and automatically selecting an approval link; scanning and collecting bar codes / serial numbers / batches / quantity when goods arrive, and storing according to unique association of suppliers, order numbers, codes and batches; after warehousing, carrying out consistency comparison, abnormity early warning, freezing and closed-loop processing on orders, warehousing, invoices and payment; and in the settlement stage, convergent transaction, bank and billing account checking are carried out, and results are written back to supplier and inventory parameters to drive subsequent suggestion and approval threshold adaptive optimization. According to the technical scheme, the data accuracy and compliance are remarkably improved, the approval and checkout cycle is shortened, and the purchase cost and the operation risk are reduced.

The invention relates to the technical field of information management, in particular to a product information management method and system for an agricultural material supply chain terminal, and the method comprises the steps: collecting information data parameters of a target sample information management platform in a historical period, and analyzing an information data representation value; determining whether the target sample meets a stability risk standard based on the information data characterization value; if the target sample meets the stability risk standard, information management parameters of a target sample information management platform in a historical period are collected; analyzing an information management characterization value based on the information management parameter; determining whether a target sample supply chain terminal meets a standard or not based on the information management characterization value; and based on a difference value between the information management characterization value and a predetermined information management characterization threshold value, determining to adjust the predetermined information data characterization threshold value. According to the invention, the product information accuracy of the agricultural material supply chain terminal and the decision-making efficiency of the information management system are improved through adaptive regulation and control.

An electricity-carbon-green certificate market transaction method based on chaotic mapping considering carbon capturing, comprising: building a transaction strategy for describing the interaction of the market entities in a multi-element market, the multi-element market comprises an electricity market, a carbon market and a green certificate market; and building an upper-layer electricity-carbon-green certificate multi-market combined transaction model considering carbon emission settlement based on the transaction strategy. With the method proposed in the present invention, the model is built according to the energy transaction flow existing in among the transaction entities, efficient utilization of renewable energies and low carbon emissions can be realized, national requirement on low carbonization of market transaction can be satisfied, and a multi-element market transaction mechanism that complies with the dual-carbon target is provided for the existing energy transaction market.

The invention discloses a coal type sales planning and sales time collaborative management and control method and system based on a coal enterprise, and relates to the technical field of coal sales management. Multi-source data are integrated through technologies such as a data fusion algorithm, the problems of data dispersion and different formats are solved, high-quality data support is provided for follow-up analysis, the sales trend and price fluctuation are accurately predicted by applying a long-short-term memory neural network and a regression analysis model, enterprises are assisted in optimizing sales strategies, the inventory overstock risk is reduced, and the sales quality is improved. By means of linear programming and reinforcement learning algorithms, sales tasks are dynamically adjusted in combination with real-time data, market response speed and sales efficiency are improved, scientificity and flexibility of sales management of coal enterprises are effectively improved, and market competitiveness is enhanced.

The embodiment of the invention provides a memory strategy management method and device, and relates to the technical field of computers.The method comprises the steps that a kernel of a multi-memory-node system receives a strategy setting request sent by a first process through preset system calling, and the strategy setting request comprises strategy setting parameters and an identifier of a second process; verifying the permission and strategy setting parameters of the first process and the second process; if it is determined through verification that the first process has the permission to modify the memory strategy, the strategy setting parameters are legal, and the second process exists, the memory strategy of the second process is processed according to the strategy setting parameters. According to the scheme, the problems that in the prior art, cross-process memory strategy management operation is complex, flexibility and adaptability are insufficient, and extra safety risks, performance fluctuation and instability are possibly introduced can be solved.

The invention relates to an aging-suitable transformation recommendation method and system, electronic equipment and a storage medium, and relates to the technical field of smart pension, and the transformation recommendation method comprises the steps: obtaining the temperature and humidity in a living room and a living room state diagram, and collecting the appearance form, the placement position, the home use frequency and the home use duration of home articles displayed in the living room; judging the home damage level by adopting a home full-life monitoring model; acquiring physiological index data of the supervised object, and generating a home life table; according to the household damage level and the living room state diagram, generating aging-suitable transformation reminding information, determining household article transformation requirements of the supervision object in combination with a household life table, and sending the household article transformation requirements to the supervision subject; generating a household position adjustment graph based on the household article transformation demand and the placement position; generating a novel home recommendation table according to the home article transformation demand and the appearance form in combination with the home market data; the living safety and life quality of the supervised object are improved, and the evaluation effectiveness of the aging degree of the household articles is improved.

The invention belongs to the technical field of intelligent feeding for cow breeding, and discloses a cow feed proportioning optimization method based on artificial intelligence. Body weight, movement, heart rate, temperature and humidity and feed component sensors are arranged in dairy cow individuals and a breeding environment, physiological data and environmental data are collected, and the physiological data and the environmental data are transmitted to edge computing equipment and a cloud platform through a wireless network to be preprocessed and stored. And the artificial intelligence analysis module is used for generating a personalized feed formula of each cow based on a machine learning and / or deep learning model in combination with an optimized objective function, and carrying out environmental adaptability adjustment according to temperature, humidity and feed component changes. The system controls the automatic feeding equipment to perform quantitative feeding according to the heads, and utilizes feedback data of milk amount, body weight and exercise amount to update health state indexes and continuously correct feed proportion. On the premise of meeting individual nutritional requirements of dairy cows, the feed utilization rate and the production performance are improved, the feed cost and the disease risk are reduced, and the feed is suitable for fine management of large-scale pastures.