45 results about "Lifecycle model" patented technology

The invention discloses a customer full life cycle management system and method based on multi-channel fusion, and relates to the technical field of customer management, and the system comprises a customer classification module which is used for collecting customer data through multiple channels for preprocessing fusion, and carrying out the classification of customer behaviors based on a clustering algorithm; the digital twinning module is used for creating a customer digital twinning body, defining a customer life cycle state and constructing a life cycle model to bind the digital twinning body; the behavior prediction module is used for performing customer behavior prediction based on the digital twin and performing processing; and the feedback optimization module is used for optimizing the life cycle model by using a reinforcement learning algorithm through the predicted customer life cycle state and customer data. According to the method, the initial clustering center is calculated to perform customer behavior clustering analysis, so that the accuracy and efficiency of customer behavior classification are improved, the accuracy of customer life cycle detection is effectively improved, and customer full life cycle management is facilitated.

The invention relates to the technical field of building management, in particular to a BIM-based building construction management method and system and a medium. The method comprises the following steps: acquiring building structure data; a tower crane full-life-cycle BIM model is constructed based on the building structure data, wherein the tower crane full-life-cycle BIM model comprises three-dimensional parameterized information of a base embedded part, a tower body standard knot, a slewing mechanism and a suspension arm assembly; acquiring building construction environment data; carrying out tower crane installation optimization on the tower crane full-life-cycle BIM model by utilizing building construction environment data to obtain a tower crane installation scheme; and base stress distribution simulation is conducted on the tower crane full-life-cycle BIM model according to the tower crane installation scheme, and tower crane base stress distribution data are generated. According to the invention, by integrating the building structure and the construction environment data and combining real-time sensing monitoring and intelligent collaborative optimization, the accuracy and dispatchability of tower crane management in building construction are improved.

The invention discloses a thermal insulation and energy conservation analysis method for an outer wall system of a residential building, and belongs to the field of thermal insulation and energy conservation analys.The method comprises the steps that climate characteristics of the residential building are obtained, an outer wall enclosure structure of the residential building is processed based on the climate characteristics, and a plurality of outer wall structures are designed; constructing an energy consumption model of the residential building, and based on the energy consumption model, carrying out annual load analysis on the plurality of outer wall structures to obtain an optimal outer wall structure; based on the energy consumption model, outer wall heat transfer coefficient analysis is conducted on the multiple heat preservation materials of the optimal outer wall structure, and an optimal heat preservation material is obtained; and constructing a life cycle model of the residential building, performing economic thickness analysis on the optimal thermal insulation material based on the life cycle model to obtain an optimal thermal insulation material thickness, and realizing thermal insulation and energy saving of the residential building outer wall system based on the optimal thermal insulation material thickness. According to the method, the optimal thermal insulation layer thickness of the outer wall structure can be calculated, the economical efficiency is best, and the energy-saving rate is highest.

The invention discloses an energy recovery method and device based on the service life of a battery, a vehicle and a storage medium, and the method comprises the steps: comparing the initial energy recovery power of the vehicle in energy recovery with the optimal target charging power of a power battery, so as to obtain a comparison result; the optimal target charging power of the power battery is obtained based on a life cycle model of the power battery, and the optimal target charging power is smaller than the maximum charging power of the power battery; determining the corrected energy recovery power in the vehicle driving process according to the comparison result; determining a target energy recovery torque according to a corrected energy recovery torque corresponding to the corrected energy recovery power and an initial energy recovery torque corresponding to the initial energy recovery power; and outputting a target energy recovery instruction according to the target energy recovery torque to control the vehicle to perform energy recovery. According to the technical scheme, the problems that the performance degradation speed of the power battery of the vehicle is high in the using process, and the service life is shortened are solved.

The invention discloses a material physical property calculation and simulation method and system based on a first principle, and relates to the field of material physical property calculation and simulation, and the method comprises the following operation steps: S1, atomic-scale structure modeling and initial parameter setting; s2, structure optimization and energy minimization are carried out; s3, electronic structure calculation and intrinsic physical property extraction; s4, performing multi-scale coupling and mesostructure simulation; s5, simulating a multi-physics coupling process; s6, data-driven intelligent optimization is carried out; s7, carrying out multi-dimensional visual verification and interaction; and S8, carrying out full life cycle model iteration and knowledge base construction. According to the material physical property calculation and simulation method and system based on the first principle, full-process simulation from an atomic scale to a macroscopic material is achieved, atomic-scale structure modeling, multi-scale coupling and macroscopic process simulation are covered, physical properties and behaviors of the material under different scales can be deeply revealed, and the material physical property calculation and simulation method and system based on the first principle are provided for the purpose of improving the material physical property calculation and simulation efficiency. And more complete and accurate information can be provided for material design and process optimization.

The invention discloses an MBSE model version pedigree iteration method and system based on a graph theory and a knowledge graph. The method comprises the following steps: constructing an MBSE model of an aerospace craft and mapping the MBSE model into an attribute graph; a directed acyclic graph is adopted to record a version iteration process, management is carried out through a version number system comprising a main version number, a combined version number and a revised version number, and a differential storage strategy is adopted; and performing change detection and merging based on a baseline, accurately identifying changes through a model comparison algorithm including internal attributes, internal relationships, overall relationships and difference analysis, and processing conflicts in collaborative design. According to the method, atomic-scale version control is realized, the problems of missing change traceability, low verification efficiency and multi-baseline conflict are solved, and the efficiency and quality of aerospace craft full-life-cycle model management are improved.

The invention provides a service quality state full life cycle management method, system and device and a medium, and the method comprises the steps: obtaining a data source corresponding to a service cycle, carrying out the field analysis of the data source based on a full life cycle model, and generating wide table list data corresponding to the service cycle; obtaining a business demand, constructing an index library according to the business demand, performing index configuration on the wide table list data based on the index library, and generating a corresponding index result value; performing health degree evaluation on the index result value based on an index evaluation model to obtain a health degree score; and generating a corresponding alarm instruction under the condition that the health degree score is lower than a preset threshold value. According to the invention, effective, multi-dimensional and multi-level omnibearing monitoring is carried out on the whole process of acceptance, opening, use and settlement of the business, which is beneficial for promoting audit of marketing policy landing conditions, issuing rectification notices for illegal marketing and guiding marketing production.

The invention provides a foundation pit supporting structure design method and system and a cloud platform, and belongs to the technical field of intelligent rock-soil control, and the method comprises the steps: building a coupling model, outputting a multi-field interaction result, carrying out intelligent partitioning, and generating a customized reinforcement scheme based on a risk working condition. A transition layer is designed according to the quantitative partition transfer relation, a fusion supporting system is formed, the fusion supporting system is combined with failure differences to construct a life cycle model and an early warning model, full-life-cycle dynamic monitoring is achieved, the monitoring efficiency is improved, environment monitoring data and supporting structure design are combined, and the reliability of the system is improved. Environmental factors are fully utilized, geotechnical engineering is promoted to be transformed to intelligence and greenization, functional safety and ecological protection are achieved, and meanwhile the service life of the foundation pit supporting structure is prolonged.

1. Name of the product in this design: Graphical User Interface for Generating Product Lifecycle Models for Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: It is used for intelligent modeling of products to achieve automatic generation and visualization of the product's entire lifecycle model. 7. Human-computer interaction method of graphical user interface: Design 1 main view displays the design interface of the product life cycle model of the selected product. The top left corner of the main view of Design 1 displays the product name of the selected product. The main view of Design 1 displays the "raw material acquisition" stage, "manufacturing" stage, "product transportation / delivery" stage, "product use" stage and "end of life" stage in the form of horizontal swimlanes from top to bottom. You can click / touch the "AI Intelligent Modeling" button in the upper left corner of the Design 1 main view to intelligently generate the modeling information of the selected product's full life cycle model and trigger the interface to change from the Design 1 main view to the Design 1 interface change state diagram 1. The left-hand list in Design 1 Interface Change Status Diagram 1 displays the generated modeling information for the selected product's entire lifecycle model. In Design 1 Interface Change State Diagram 1, you can select X target generation items by checking the boxes, and trigger the interface to change from Design 1 Interface Change State Diagram 1 to Design 1 Interface Change State Diagram 2, where X is a positive integer. You can click / touch the "Add X to Model" button in the lower left corner of Design 1 interface change state diagram 2 to generate a project to build the full life cycle model of the selected product using the selected X targets, and trigger the interface to change from Design 1 interface change state diagram 2 to Design 1 interface change state diagram 3. Design 1 Interface Change State Diagram 3 shows the full lifecycle model of the selected product. Design 2 main view displays the design interface for the product lifecycle model of the selected product. The top left corner of the main view of Design 2 displays the product name of the selected product. The main view of Design 2 displays the "Raw Material Acquisition", "Production and Manufacturing", "Product Transportation / Delivery", "Product Use" and "End of Life" stages of the product life cycle in the form of horizontal swimlanes from top to bottom. You can click / touch the "AI Intelligent Modeling" button in the upper left corner of the Design 2 main view to intelligently generate the modeling information of the selected product's full life cycle model, and trigger the interface to change from the Design 2 main view to the Design 2 interface change state diagram 1. The left-hand list in Design 2 Interface Change State Diagram 1 shows the generated modeling information of the selected product's full lifecycle model. In Design 2 Interface Change State Diagram 1, you can select n target generation items by checking the boxes, and trigger the interface to change from Design 2 Interface Change State Diagram 1 to Design 2 Interface Change State Diagram 2, where n is an integer. In Design 2 Interface Change State Diagram 2, you can click / touch the "Refresh" button in the left-hand list to regenerate the generated items other than the selected n target generated items, and trigger the interface to change from Design 2 Interface Change State Diagram 2 to Design 2 Interface Change State Diagram 3. The left-hand list in Design 2 Interface Change State Diagram 3 shows the regenerated results of the modeling information for the selected product's entire lifecycle model. In the interface change state diagram 3 of Design 2, the X target generation items can be selected by checking the boxes, and the interface will change from the interface change state diagram 3 of Design 2 to the interface change state diagram 4 of Design 2, where X is a positive integer. You can click / touch the "Add X to Model" button in the lower left corner of Design 2 interface change state diagram 4 to generate a project to build the full life cycle model of the selected product using the selected X targets, and trigger the interface to change from Design 2 interface change state diagram 4 to Design 2 interface change state diagram 5. Design 2 Interface Change State Diagram 5 shows the full lifecycle model of the selected product. Design 3's main view displays the design interface for the product's entire lifecycle model. The top left corner of the Design 3 main view displays the product name of the selected product. The Design 3 main view shows the "Raw Material Acquisition", "Production and Manufacturing", "Product Transportation / Delivery", "Product Use" and "End of Life" stages of the product life cycle from top to bottom in the form of horizontal swimlanes. You can click / touch the "AI Intelligent Modeling" button in the upper left corner of the Design 3 main view to intelligently generate the modeling information of the selected product's full life cycle model, and trigger the interface to change from the Design 3 main view to the Design 3 interface change state (Figure 1). The left-hand list in Design 3 Interface Change State Diagram 1 shows the generated modeling information for the selected product's entire lifecycle model. In Design 3 Interface Change State Diagram 1, you can select X target generation items by checking X target generation items, and trigger the interface to change from Design 3 Interface Change State Diagram 1 to Design 3 Interface Change State Diagram 2, where X is a positive integer. You can click / touch the "Add X to Model" button in the lower left corner of Design 3 interface change state diagram 2 to generate a project to build the full life cycle model of the selected product using the selected X targets, and trigger the interface to change from Design 3 interface change state diagram 2 to Design 3 interface change state diagram 3. Design 3 Interface Change State Diagram 3 shows the full lifecycle model of the selected product. You can click / touch the selected model node in Design 3 Interface Change State Diagram 3 to view the details of the selected model node and trigger the interface to change from Design 3 Interface Change State Diagram 3 to Design 3 Interface Change State Diagram 4. Design 4 main view displays the design interface for the product lifecycle model of the selected product. The top left corner of Design 4's main view displays the product name of the selected product. Design 4's main view shows the "Raw Material Acquisition," "Production and Manufacturing," "Product Transportation / Delivery," "Product Use," and "End of Life" stages of the product's entire life cycle in horizontal swimlanes from top to bottom. You can click / touch the "AI Intelligent Modeling" button in the upper left corner of the Design 4 main view to bring up the AI ​​tool floating window and trigger the interface to change from the Design 4 main view to the Design 4 interface change state (Figure 1). You can click / touch the "Start Generation" button in the AI ​​tool floating window in Design 4 interface change state diagram 1 to intelligently generate the modeling information of the selected product's full life cycle model, and trigger the interface to change from Design 4 interface change state diagram 1 to Design 4 interface change state diagram 2. The left-hand list in Design 4 Interface Change State Diagram 2 shows the generated modeling information for the selected product's entire lifecycle model. In Design 4 Interface Change State Diagram 2, you can view the details of the selected generated item by clicking / touching the list on the left, and trigger the interface to change from Design 4 Interface Change State Diagram 2 to Design 4 Interface Change State Diagram 3. 8. Other situations requiring explanation: Other explanation: "X" in the interface represents a text, number or symbol content area.

The application provides a foundation pit supporting structure design method, system and cloud platform, and belongs to the technical field of intelligent geotechnical control. The method comprises the following steps: constructing a coupling model, outputting multi-field interaction results and intelligently partitioning, generating a customized reinforcement scheme based on a risk working condition. The transition layer is designed by quantifying the transmission relationship between the partitions, and a fusion supporting system is formed. The fusion supporting system combines the failure differences to construct a life cycle model and an early warning model, realizes dynamic monitoring throughout the life cycle, improves the monitoring efficiency, combines environmental monitoring data with supporting structure design, fully utilizes environmental factors, helps to promote the transformation of geotechnical engineering to intelligence and green, realizes functional safety and ecological protection, and prolongs the service life of the foundation pit supporting structure.

The invention belongs to the technical field of life cycle evaluation methods, relates to a method for quantifying full life cycle environmental influence of a plug-in hybrid electric vehicle, and is particularly suitable for accurately evaluating environmental benefits in a province popularization scene. According to the method, firstly, a target and a range are determined, wherein a function unit is set to enable the PHEV to run on a road under a comprehensive working condition for 150 thousand kilometers, and a research range covers a whole life cycle process; then collecting a material list and material energy input data of each component of the PHEV, carrying out list analysis, and constructing a full-life-cycle model; after classification, characterization and normalization processing, 11 kinds of midpoint environmental influence indexes are adopted for influence analysis, and meanwhile, probabilistic evaluation of key indexes (such as global warming potential (GWP)) is achieved through coupling of electric power structure clustering and Monte Carlo simulation; and finally, through result explanation, an accurate reference basis is provided for optimizing a PHEV manufacturing process, promoting technical innovation and reducing full-life-cycle environmental influence.

The present invention provides a navigation message lifecycle model learning method, GNSS signal processing method and electronic device, comprising: acquiring GNSS navigation data, and analyzing the GNSS navigation data to learn the lifecycle model, wherein the lifecycle model includes information indicating the lifecycle behavior of at least one GNSS navigation message dataset.

This application relates to the field of data analysis technology, and discloses an operational analysis method, device, and electronic device applicable to different operational activities. Based on a lifecycle model, different operational activities are promoted using corresponding promotion methods, and feedback information under each promotion method is obtained. According to predefined raw indicator data, the raw indicator data corresponding to each operational activity is extracted from the feedback information. According to predefined operational performance indicator data, the raw indicator data of each operational activity is parsed to obtain the corresponding operational performance indicator data. In response to an operational performance viewing command, the operational performance indicator data of the operational activity is retrieved from the database and displayed in a visual form on a display interface. This solves the problem of the lack of unified and systematic operational data analysis in existing operational activities.

The invention belongs to the technical field of life cycle evaluation methods, and relates to a method for quantifying full life cycle environmental influence of a slot type photo-thermal power station. The method comprises the following steps of: firstly, confirming a target and a range, collecting a material list of equipment of each part of a power station and input data of various material energy by taking the generating capacity of 1MW. H as a functional unit and taking a research range as a whole life cycle process from a cradle to a tomb, performing corresponding list analysis, and then establishing a whole life cycle model; after classification, characterization and normalization, 11 kinds of midpoint environmental impact indexes are used for impact analysis, and finally, a result is explained, so that a reference basis is provided for optimizing an equipment manufacturing process and technical innovation to reduce environmental impact.

The invention provides a method and system for prolonging the life cycle of an unmanned retail terminal, and the system comprises a data collection layer which is used for collecting the sales volume, sales volume, theft loss, maintenance, user behavior and inventory data of the unmanned retail terminal; the data processing layer is used for preprocessing, cleaning and integrating the collected data and training an unmanned retail life cycle model; the data diagnosis and analysis layer is used for evaluating the operation condition of the unmanned retail terminal equipment; the classification processing equipment terminal layer outputs a corresponding classification processing strategy according to the diagnosis analysis report; and the output and feedback layer is used for outputting a life cycle strategy report and regularly optimizing and learning an upgrading model according to a processing result. According to the invention, the life cycle model is established, data such as sales volume, sales volume, theft and loss, maintenance and the like of the unmanned retail terminal equipment are analyzed, and the equipment terminals are classified according to the analysis result, so that the life cycle of the unmanned retail terminal is prolonged, and the value return and use efficiency of the equipment are improved.

The application discloses a kind of air situation analysis methods based on track full life cycle, comprising the following steps: step 1, extraction typical track event;Step 2, establish track full life cycle model;Step 3, realize the quantitative analysis of air situation;Step 4, abnormal event identification and extraction.The air situation analysis method based on track full life cycle proposed in the application introduces track full life cycle model into the field of air situation estimation for the first time, and can deeply understand air situation on this basis.The application can make the process of situation analysis clear, the result of situation analysis more accurate and more intelligent, so as to provide more definite and accurate situation information for later decision makers.

To appropriately evaluate an environmental load regarding an evaluation target product to be taken in a biological system or an ecosystem.SOLUTION: An information processing device holds information for inferring dynamic changes in states of a biological system or an ecosystem that takes an evaluation target product in, a life cycle model that indicates the evaluation target product and a used item other than the evaluation target product used in each state, environmental load information that indicates an environmental load of each of the evaluation target product and the used item, and index information that indicates an index value related to quality of life of the biological system or the ecosystem affected by the evaluation target product in each state, infers the dynamic changes in the states based on the life cycle model, calculates an environmental load and an index value for the entire period of the inferred dynamic changes by referring to the environmental load information and the index information, and corrects the calculated environmental load based on the calculated index value.SELECTED DRAWING: Figure 1

The invention discloses an AI customer service hot problem dynamic recommendation method, system and device and a medium, and the method specifically comprises the steps: constructing a hot life cycle model fused with time sequence prediction based on user portrait features, and generating hot probability distribution in future preset time; based on user portrait features, dynamically calculating a user emotion weight coefficient through a multi-modal emotion perception algorithm, and associating an emergency degree label of a problem library solution; based on the popularity probability distribution and the urgency degree label, an antagonism sorting decision is executed, and a personalized recommendation problem queue is output; calling a dynamic verbal skill generation engine, and synthesizing interactive recommendation content adaptive to user portrait features in real time; and pushing the personalized recommendation problem queue and the interactive recommendation content to an adaptive layout container of a customer service interface. According to the method, accurate and personalized dynamic recommendation of AI customer service hot questions is realized, and the efficiency and experience of obtaining question answers by users are improved.

The invention discloses a product full-life-cycle unified modeling and management method based on a digital main line. The method is applied to efficient integration and unified management of multi-source heterogeneous data in each stage of a full life cycle of enterprise products. According to the method, a hierarchical modeling mode is adopted to establish a product full-life-cycle unified model; constructing a digital main line covering all stages of a full life cycle by fusing a meta-model theory and a hypergraph structure, and proposing a conflict resolution method based on an authority value; and establishing an event-driven unified model dynamic updating mechanism. According to the method, data of all stages of the full life cycle of the product are integrated through the digital main line, the unified model of the full life cycle of the product is established, cross-stage data association of the full life cycle of the product is realized, and data consistency and sustainability of the unified model in a product iteration process are ensured.

The invention relates to the technical field of virtualization and trusted computing, and discloses a TPCM-based virtual machine full life cycle instance static measurement method. A novel virtual machine full life cycle model is defined, and a request instance measurement module is added in each life stage processing function of a virtual machine based on the model and is used for realizing a measurement request initiation function; a strategy file located in a local protection component is constructed and used for specifying how to organize instance core data used for measurement, and a hardware trusted cryptography module located in the protection component is called to perform hash operation on the instance core data. According to the method, the following three problems existing in an existing virtual machine instance static measurement scheme are solved: (1) virtual machine instance static measurement operation cannot cover the full life cycle of a virtual machine; (2) the measurement overhead caused by virtual machine instance expansion is too large; and (3) the trusted measurement service provided by the TPM has the risk of being bypassed, so that the security of measurement operation is difficult to guarantee.

The embodiment of the invention discloses a logistics management system multi-role permission adaptive configuration method and system. The method comprises the following steps: constructing a voyage number life cycle model used for describing an ocean logistics voyage number business process; determining the current basic stage state of the voyage number, and generating an initial permission set for a plurality of roles participating in the voyage number; when an anomaly is detected, reconstructing the voyage number state to a corresponding life cycle sub-state according to an anomaly type; based on the life cycle sub-state, constructing a multi-objective optimization model, generating multiple groups of candidate permission evolution schemes, and performing Pareto optimality analysis to obtain a non-dominated scheme on a Pareto front; taking a plurality of roles as game participants, carrying out Nash equilibrium screening on non-dominated schemes, selecting a scheme closest to a Nash equilibrium point as an optimal scheme, and carrying out dynamic adjustment on permissions of the roles; and after the abnormal event is finished, switching each role to a matched permission configuration state. According to the invention, the intelligence and safety of the logistics management system are improved.

The invention provides a hybrid energy storage configuration method, device and equipment for an optical storage integrated power station and a medium, and belongs to the technical field of energy storage. Establishing an operation layer optimization model of the optical storage integrated power station according to the income of exchanging unit energy of energy storage participating in primary frequency modulation and the actual electricity selling income of the optical storage integrated power station; and based on the energy storage full life cycle model and the light storage integrated operation layer optimization model, establishing a light storage integrated power station capacity configuration model balancing investment cost and peak regulation and frequency modulation operation requirements, and solving the light storage integrated power station capacity configuration model to obtain a peak regulation and frequency modulation energy storage configuration strategy. Therefore, the scheduling strategy and the optimal configuration which accord with multiple scenes can be formulated by combining the scenes of peak regulation and frequency modulation, and the earnings of the optical storage integrated power station are improved.

The invention discloses a client loyalty and right dynamic adjustment realization method based on a telecommunication BSS system, and relates to the technical field of resource evaluation. Comprising the following steps: step 1, based on a telecommunication BSS system, collecting customer behavior data, designing a general event model, defining a behavior event type according to the general event model, storing a behavior event, verifying the behavior event, storing the behavior event for future reference if the verification is passed, and rejecting duplicate events; 2, an integral calculation engine is used for configuring integral rules and dynamically calculating integral, 3, a grade layering model is constructed, a corresponding evaluation rule is defined for each grade, and grade rapid evaluation is triggered according to an evaluation triggering mechanism, and 4, a right and interest matching mechanism is defined; 5, multi-channel display and real-time linkage of related service systems are carried out; and step 6, creating a life cycle model, defining loyalty life cycles of the customer by using the life cycle model, including a new network access period, an active period, a stable period, a silence period, a loss period and a regression period, and matching different incentive measures according to the loyalty life cycles of the customer.

The invention discloses a DCS hardware product release automation and intelligent examination method and device, and relates to the field of DCS product development, and the method comprises the steps: constructing a DCS hardware product research and development life cycle model; a forward design process from system requirements to design implementation is constructed based on an MBSE method, and a consistent and traceable structured product data model is formed; constructing a product release review rule base by setting review dimensions, defining review rules and digitally packaging the rules; an automatic execution, intelligent reasoning and intelligent review engine is constructed, and automatic and intelligent review of product release is achieved; and dynamically updating the rule base based on the review result and manual review suggestions, and realizing intelligence and continuous improvement of release review. According to the method, automation and intelligent management of the whole process of publishing and reviewing of DCS hardware products are realized, the efficiency and accuracy of publishing and reviewing are improved, the efficiency and quality of research and development iteration are improved, and data support is provided for quality management and control of the whole life cycle of product research and development.

The present invention relates to the field of gas detection technology, specifically to a full life cycle management method for an electrochemical gas sensor, comprising the following steps: S1: real-time monitoring of sensor data noise to obtain sensor noise data; S2: statistics of the accumulated working time of the sensor under different gas concentrations, temperatures, humidity and atmospheric pressure environmental parameters; S3: bringing the sensor production date, data noise and working time under different environments into the sensor life cycle model to calculate the sensor aging degree and remaining service life. With this method, the sensor does not need to be brought back to the laboratory for measurement, and the life cycle of the sensor can be monitored in real time in practical applications.

The invention relates to a method and a system for evaluating a life cycle carbon footprint of a phenol preparation process. The method comprises the following steps: S1, determining a research purpose and a life cycle carbon footprint system boundary; s2, constructing a life cycle list: adopting industrial operation data for a cumene process; for a nitrous oxide and benzene oxide process, acquiring material and energy balance data under an industrial scale by adopting process simulation software; s3, modeling a life cycle model: modeling the two process scenes based on life cycle evaluation software and a background database; s4, carbon footprint quantification and comparison: quantifying the carbon footprint of the phenol with the set amount in the two process scenarios, and carrying out transverse comparison; and S5, result analysis and optimization suggestion. The method has the advantages that through integration of industrial operation data and process simulation, the bottleneck of newly-developing process list data missing is solved, the distribution problem of a traditional cumene method is avoided, and therefore a more scientific and comprehensive decision basis is provided for low-carbon process selection of phenol production.

This application relates to the field of product carbon footprint calculation, and discloses a method and system for constructing a product carbon footprint model based on intelligent agents. This method automatically collects and standardizes product information from multiple data sources using a large language model, generates product production process flows and identifies emission sources through a lifecycle model inference module, simulates activity data using deep neural networks, and matches emission factors in a background database using semantic similarity. Finally, a carbon footprint calculation model is constructed based on the ISO 14067 standard. This method overcomes the problems of difficult data acquisition and time-consuming processes in traditional carbon footprint calculation methods, achieving intelligent construction of product carbon footprint models and improving the efficiency and accuracy of carbon footprint calculation.

The application discloses a photovoltaic energy storage power station intelligent operation and maintenance and collaborative control system based on big data, and relates to the technical field of new energy power system automation.The system reconstructs the space-time characteristics of multi-source heterogeneous data of a photovoltaic energy storage power station through a graph attention network, calculates data confidence based on the reconstructed residual error, identifies battery physical parameters online using a recursive least square method with a forgetting factor, calculates the health degree, generates a dynamic current constraint boundary containing linear derating logic in combination with real-time temperature, adopts a model predictive control strategy, updates internal parameters of a prediction model in real time to match the aging state of equipment, and introduces data confidence as a penalty term into a control action smoothing term of an objective function.The application realizes flexible continuous control under the sub-health state of equipment, effectively solves problems such as fault hard shutdown impact, misoperation caused by data noise and model mismatch in the whole life cycle, and the like.

The invention provides a garbage collection optimization method based on solid-state disk address remapping, which comprises the following steps: constructing a flash memory page life cycle model, analyzing life cycle log data through the flash memory page life cycle model, verifying whether the life of a remapped flash memory page is longer than that of a common flash memory page, and obtaining analysis data; secondly, dividing a solid-state disk remapping storage area according to the analysis data obtained in the first step, and preparing for garbage collection migration page partition; a garbage collection algorithm is optimized, a common flash memory page and a remapping page are perceived during garbage collection, and the common flash memory page and the remapping page are stored in a partitioned manner, so that unnecessary write amplification caused by the remapping flash memory page during garbage collection of the solid-state disk is avoided. According to the garbage collection optimization method based on solid-state disk address remapping, a common flash memory page and a remapping flash memory page are divided, the problem of garbage collection write amplification caused by continuous moving of the remapping flash memory page with longer service life in garbage collection is solved, the overall performance of a system is improved, and the system performance is improved. And the service life of the solid-state disk is also prolonged.

The invention discloses a digital twinning-based constructional engineering full-life-cycle intelligent collaborative management system, and relates to the technical field of constructional engineering management. The system comprises a model construction module, a data screening module, a model adjustment module and a collaborative management module, wherein the model construction module constructs a construction engineering full life cycle model based on engineering data of each stage of a construction engineering full life cycle; the data screening module is used for executing dynamic screening processing of engineering data detail levels and dynamic evaluation processing of engineering data complexity; the model adjustment module is used for executing stage self-adaptive adjustment processing and detail level self-adaptive adjustment processing of the building engineering full life cycle model; and the collaborative management module receives the constructional engineering full-life-cycle model adjusted by the model adjustment module, and when a model modification request is received, intelligent collaborative management of the constructional engineering full-life-cycle model is executed based on a collaborative management demand of the model modification request.