86 results about "Life management" patented technology

The invention discloses an intelligent life prediction and optimization system and method for a steam turbine rotor welded joint. The system comprises a multi-source data acquisition module, a digital twin modeling module, a health state evaluation and life prediction module, a risk early warning module and an operation collaborative optimization module. The multi-source data acquisition module acquires the multi-dimensional physical quantity of the rotor welding joint in real time. The digital twin modeling module establishes a high-fidelity virtual model and realizes real-time synchronization and correction of a physical entity and a digital model. And the health state evaluation and life prediction module is used for calculating a damage accumulation rate and a health index based on fusion of a physical model and an LSTM neural network so as to realize residual life estimation. And the risk early warning module performs graded early warning according to the dynamic trend of the health state. And the operation collaborative optimization module adaptively adjusts operation parameters and optimizes the unit efficiency based on a reinforcement learning algorithm. All the modules are interconnected through an industrial network to form a closed loop, and real-time monitoring, intelligent evaluation and active service life management of the rotor welding joint are achieved.

The invention discloses an active power and frequency coordination control method for a wind storage combined system, and belongs to the technical field of electric power system operation and control. The problems that in the prior art, due to wind power and load uncertainty, the frequency control effect is poor, energy storage life management is insufficient, and long-term and short-term control instructions are disjointed are solved. The problem is solved by constructing a three-layer collaborative architecture of a predictive optimization layer, a real-time coordination control layer and an execution layer: the predictive optimization layer randomly optimizes and generates a reference state track and a frequency modulation capacity instruction of an energy storage unit based on a scene method; the real-time coordination control layer utilizes a deep reinforcement learning coordination controller, synthesizes frequency deviation, SOC compensation signals and frequency modulation capacity reservation instructions, and dynamically distributes active power of a fan and energy storage; and the execution layer realizes rapid issuing of the instruction. The method is mainly used for active power coordination and frequency support of a wind storage combined system in a high-proportion new energy power system, and can effectively delay energy storage life attenuation while stabilizing frequency fluctuation.

The invention relates to the technical field of life prediction, in particular to a high-voltage switch cabinet contact life management system based on digital twinning, which comprises a thermal behavior acquisition module, a conductive state construction module, a thermal loss dynamic evaluation module, a thermal disturbance response regulation and control module and a life mapping driving module. According to the method, temperature difference and time interval in an on-off period are collected, thermal stress change is calculated in combination with current density, thermal characteristics of materials are correlated, thermal behaviors of a contact are dynamically reflected, a conductive path boundary is reconstructed based on contact area and pressure offset, a through-flow state is accurately described, and heat accumulation and arc energy input are extracted. The method comprises the steps of analyzing a temperature trend under thermal diffusion lag, constructing a heat loss evolution curve, adjusting thermal conductivity distribution through a ratio of temperature rise to mass migration rate, improving local adaptability of thermal disturbance response, generating a life attenuation layer in combination with equivalent thermal mechanical load and fatigue tolerance, and enhancing dynamic nature and precision of evaluation. And accurate judgment and management of the degradation area are realized.

The invention relates to the field of start-stop control, and discloses a one-key start-stop control system of a single-shaft gas turbine, which is used for solving the technical bottlenecks of the traditional control method in the aspects of state perception, service life management and the like. Comprising the steps that a gas turbine state parameter set containing rotor thermal stress, combustion chamber temperature and exhaust temperature distribution is generated; and generating a life loss evaluation result and an operation efficiency evaluation result by adopting the life evaluation model and the efficiency calculation model, and generating a start-stop control prediction sequence through a dynamic programming algorithm. The service life loss and the operation efficiency are quantitatively evaluated in real time, so that the operation cost problem that the service life and the operation efficiency of the equipment are difficult to consider in the existing start-stop technology is solved, and the full-life-cycle operation cost is remarkably reduced while the long-term reliability of the equipment is guaranteed; maintenance cost can be effectively reduced, fuel consumption is saved, and power grid response economy is improved.

The application discloses a precision belt wheel mold life cycle management method and system, and relates to the technical field of mechanical manufacturing, comprising the following steps: in the whole life management process of the precision belt wheel mold, continuously collecting design version change data, processing process record data, running condition waveform data and maintenance disposal track data, and uniformly writing the collected data into a data chain of the same time reference for time sequence management, and generating a time alignment index at the end of the data chain. The application realizes continuous connection and anti-overlapping collection of multi-source data by constructing a data chain with time as the main line and introducing a precursor anchor point, a previous priority constraint and a time sequence traction control, ensures that the deterioration signal is continuously visible in the time dimension, accurately reflects the mold performance attenuation process, and improves the reliability of life prediction and maintenance decision.

The invention discloses a feed pump energy-saving optimization method and system based on variable frequency speed regulation, and relates to the technical field of industrial process control and energy-saving optimization, and the method comprises the steps: constructing a causal analysis model by extracting residual statistical characteristics, recognizing the main drive type of carbon emission change, quantifying the causal effect, and estimating the life loss in combination with sensitivity; energy consumption and service life target weights are dynamically adjusted according to causal labels, a dual-objective optimization function is constructed, a multi-objective genetic algorithm is adopted to determine control parameters of frequency adjustment, and frequency self-adaptive adjustment is achieved. The offset abnormal driving reason is effectively identified, and the accuracy of energy-saving control and the equipment service life management and control capability are improved.

The invention discloses a fuel cell management method and system based on life budget credit adjustment, and relates to the technical field of fuel cell life management. The method comprises the following steps: acquiring running state data of a fuel cell, and predicting a residual life budget value of the fuel cell at the current stage; calculating a lending value and a credit value of the fuel cell; if the absolute value of the difference between the credit values of the fuel cells in the current stage and the previous stage is smaller than a first threshold value and the absolute value of the difference between the lending values is smaller than a second threshold value, continuing to use the control strategy in the previous stage; if the absolute value of any difference value is larger than or equal to the corresponding threshold value, the control strategy of the current stage is adjusted. According to the invention, a self-adaptive adjustment mechanism based on life budget lending and credit rating is realized, the overall operation economy of the system is improved, the fuel consumption rate is reduced, and the maintenance period is prolonged, so that the fuel cell system can maintain the dual advantages of high energy efficiency and long life under different operation conditions.

The present application belongs to the technical field of mechanical structure health monitoring and life prediction, in particular to an engineering machinery load-bearing structure fatigue life intelligent monitoring method, comprising the following steps: step one, establishing a high-fidelity geometric model; step two, establishing a finite element model; step three, constructing a finite element simulation dataset; step four, constructing a neural network proxy model; step five, obtaining working parameters and loading history; and step six, integrating a visual operation and maintenance platform. The engineering machinery load-bearing structure fatigue life intelligent monitoring method can intelligently deduce the evolution process of fatigue damage based on the working parameters and loading history of the structure, realize dynamic calculation of the remaining life and real-time early warning of the service risk, save computing resources, improve the efficiency of fatigue life evaluation, and solve the problems of dependence on offline simulation, response lag, and discontinuous evaluation in traditional structure life management, thereby effectively improving the intelligent operation and maintenance level of engineering machinery and providing protection for safe and efficient operation.

1.The name of the design product: graphical user interface of the near-expiration product management system of electronic equipment. 2.The use of the design product: for interactive operation, display information. 3.The design points of the design product: the content of the graphical user interface. 4.The picture or photo that best indicates the design points: front view. 5.The design points of the design product are the content of the graphical user interface, and the rear view, left view, right view, top view, and bottom view are omitted. 6.The use of the graphical user interface: to display data information related to near-expiration product management in the sales management system and provide interactive operations related to near-expiration product management, including near-expiration product filtering, near-expiration product sorting, and new near-expiration product list related functions. 7.The change state description of the graphical user interface: the front view is the main interface of the near-expiration product management system of the sales cabinet; clicking "new near-expiration product" in the front view jumps to the interface change state diagram. XX in each interface represents the text content, and the gray box and white box areas in each interface are content pictures, not the shape of the content pictures. The gray box and white box areas can be replaced by text or pictures.

The invention discloses a method and a system for controlling the service life of a medical fabric based on multi-modal data, and relates to the technical field of methods for controlling the service life of the medical fabric, and the use damage level of the medical fabric is determined based on the use damage state and the area stress level of each use heavily-used area. The theoretical service life of the medical fabric is predicted according to the use damage grade and type of the medical fabric and the previous use environment of the medical fabric, and the preliminary accuracy of the theoretical service life of the medical fabric is improved. Therefore, multi-modal data is constructed according to the use damage grade and type of the medical fabric and the current use scene of the medical fabric, a plurality of data sets of different levels are determined according to analysis of the multi-modal data, and corresponding life influence factors are determined according to recognition of the data sets of different levels; the actual service life range is determined based on the multiple service life influence factors and the theoretical service life, and the accuracy of the actual service life range is improved.

The invention discloses a full-life intelligent management method and system for a power distribution automation terminal, and the method comprises the steps: constructing an equipment object fingerprint through equipment ledger data, operation data and parameter data, carrying out the evaluation of the continuity of an equipment object through the combination of an equipment life cycle event sequence and an equipment behavior feature sequence, and carrying out the evaluation of the continuity of the equipment object. Identifying a device object offset state; and when the offset state is identified, life cycle account section division is carried out at an offset detection time point, affiliation correction is carried out on related historical data, and an equipment life cycle management result is generated. According to the invention, the accuracy, continuity and traceability of the full-life management of the power distribution automation terminal can be improved.

The application discloses a kind of steel-concrete combined support active regulation and turnover evaluation method and system, it is related to geotechnical engineering deep foundation pit support and monitoring technical field.The method includes two big technical schemes: one, the equivalent time-varying parameter of combined support is determined, the real-time monitoring data of combined support is obtained, then the temperature action component in monitoring total axial force, time effect component is calculated, finally the real stress response is calculated and combined support is actively regulated;Second, based on the strain history of the whole service process, plastic damage component, fatigue damage component and time-varying stiffness damage component are calculated respectively, and a comprehensive damage index is constructed by weighted summation.According to the preset grading threshold, the component disposal suggestion is output.The application can effectively eliminate the interference of temperature fluctuation and time-varying effect on regulation decision, and provide objective quantitative damage evaluation basis for component turnover use.The application can realize the whole life management of combined support, and improve the safety and economy of component turnover use.

The invention provides an electrical tree initiation characteristic characterization method and system, a storage medium and equipment. The method comprises the following steps: acquiring key material parameters in a high-voltage direct-current cable insulation sample under thermal aging; and inputting the key material parameters into a pre-constructed electrical tree average initiation voltage representation model, and outputting an electrical tree average initiation voltage predicted value. According to the method, the mathematical relationship between the average electrical tree initiation voltage and the key parameters is established, accurate prediction of the electrical tree initiation voltage is realized, a reliable theoretical basis and a practical means are provided for cable state monitoring and service life management, and the method has a good application prospect.

The invention provides a power equipment oil paper insulation sample moisture state estimation method and system, and belongs to the field of insulation performance monitoring and management.The method comprises the steps that the water content corresponding relation between oil and paper in the heating / cooling process is obtained based on an Oommen curve, and a heating and cooling asymmetric kinetic equation is obtained based on fitting of the water content corresponding relation between the oil and the paper; a core kinetic equation is constructed based on a kinetic equation with asymmetrical temperature rise and temperature drop, a temperature-dependent time constant equation and a rate-dependent equation. And substituting the temperature change at different moments and the water content change of the insulating oil into a core kinetic equation for calculation to obtain the water content in the insulating paper. And a technical support is provided for moisture state evaluation and equipment life management of the oil paper insulation system.

The invention discloses a working condition self-adaption-based guide vane connecting rod stress trend diagnosis method, and relates to the technical field of intelligent diagnosis of hydroelectric generating sets, and the method comprises the steps: constructing an optical fiber stress monitoring system, setting an optical fiber grating sensor for a guide vane connecting rod, collecting a stress signal in real time, and collecting operation parameters; the method comprises the following steps: collecting multi-working-condition data within one month of normal operation after overhaul of a unit, calculating a correlation matrix between guide vane connecting rod stress and operation parameters, and establishing a stress working condition self-adaptive analysis model; and calculating a maximum value, a minimum value, an average value and a standard deviation of stress based on rolling statistics, determining a normal range of stress fluctuation, inputting real-time acquired data into a diagnosis algorithm, judging a stress deviation trend according to the reference model, outputting an alarm level, and updating the reference model. According to the method, the accuracy and timeliness of anomaly recognition are improved, the pertinence and the performability of maintenance decision making are enhanced, and the operation safety and the service life management effect of the guide vane connecting rod of the hydraulic unit are improved.

The present application relates to the technical field of industrial automation control and equipment intelligent operation and maintenance, in particular to a mechanical and electrical equipment load operation and maintenance management method and system, comprising: collecting real-time state and total load demand of a group of mechanical and electrical equipment; mapping the state to thermodynamic credit by using a loss mapping model to calculate marginal loss cost; constructing a reverse bidding game model based on the cost, taking the minimization of total marginal loss of the group as the goal under the premise of meeting the demand, and solving the optimal load distribution ratio; generating control instructions accordingly to drive each sub-equipment to execute load adjustment; the present application eliminates the calculation deadlock between fine life management and real-time load response, ensures that the system can respond to the instantaneous mutation of the load within microseconds, and realizes high real-time of control decision.

The present invention relates to a technology, which generates individual life information so that the life cycle of a companion animal can be managed, and thus provides same to be usable for various services that can be provided for the companion animal, such as medical services and loss prevention services.

The invention relates to the field of equipment monitoring, in particular to a real-time monitoring method and device for low-temperature processing equipment, the equipment and a storage medium. The method comprises the following steps: performing core cavity operation monitoring and equipment health quantitative evaluation on the low-temperature processing equipment, and generating an operation state rating report; setting a dynamic replacement temperature threshold based on the operating state rating report; performing thermal imaging monitoring on the cutter in the cavity according to the thermal infrared imager, and constructing a temperature rise distribution diagram; performing temperature rise differential calculation based on the temperature rise distribution diagram, and outputting a dynamic correction curve; and on the basis of the dynamic replacement temperature threshold, performing cross identification on the dynamic correction curve, and when it is detected that the platform clock reaches the tool replacement time point, triggering a tool replacement early warning signal. Machining stability, equipment safety and cutter life management are improved.

Commercially available sawdust-based agglomerates / compressions are brittle and often require the use of an adhesive to act as a binder and improve their strength and moisture resistance. The use of these adhesives raises several questions regarding their environmental impact: the polluting manufacturing process, the petrochemical-derived composition, the emission of volatile organic compounds, the end-of-life management of the material, and its recycling. The materials of the invention address all of the aforementioned drawbacks. These 100% bio-based materials are obtained by hot compression of tree leaf powder, either alone or mixed with sawdust, to produce panels, bricks, or any other thermoformed object using, for example, a hydraulic press or a heated extruder.The materials of the invention exhibit a significant improvement in their mechanical properties and also offer an environmentally friendly alternative to products currently on the market. The invention also relates to the process for obtaining and the products obtained from these materials.

1. The name of the design product: local life management graphical user interface for electronic device. 2. The use of the design product: for electronic device. 3. The design points of the design product: the graphical user interface displayed on the electronic device. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for information search of local life. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface of local life management, its use is referred to the use state reference figure 1, the second-hand market icon is clicked on the interface of the front view, enters the change state figure 1, its use is referred to the use state reference figure 2, the "four-leaf clover" shaped icon is clicked on the right upper side of the interface of the change state figure 1, enters the change state figure 2. 7. Other circumstances that need to be explained: the "x" in each view represents variable text and / or numbers, and the gray blocks in each view are content pictures or variable content.

The embodiment of the invention provides a cache disk service life management method and device, storage equipment, a monitoring node and a medium, and relates to the technical field of distributed storage, and the technical scheme of the embodiment of the invention comprises the steps that the storage equipment obtains the highest service life wear rate and the lowest service life wear rate of a cache disk of each piece of storage equipment in a storage cluster according to a specified period, if the highest service life wear rate is smaller than a first wear rate threshold value, the lowest service life wear rate is the service life wear rate of a first cache disk of the storage equipment, the difference value between the highest service life wear rate and the lowest service life wear rate is larger than or equal to a preset difference value, and the space occupancy rate of a storage disk of the storage equipment is smaller than a space occupancy rate threshold value; if yes, increasing the write-in weight of the storage disk by a preset value to obtain an updated write-in weight, and reporting the updated write-in weight to the monitoring node, so that the monitoring node updates the write-in weight of the storage disk stored in the mapping information. And the problem of non-uniform service life of the NVME SSD by a distributed storage cluster is solved.

The application discloses a relay life management method and system based on cloud-edge cooperation, which comprises a cloud end and a plurality of edge layers in communication connection with the cloud end, the edge layers comprising a test reference unit and a data acquisition unit, and the cloud end comprising a weighted processing unit. The application obtains safety test data of the effective opening and closing times of different models of relays under standard temperature and humidity, and standardizes the test data to obtain life standardized weight data of the corresponding models of relays. Real-time operation parameters of the relays are acquired, the relays are identified based on the data, fitting information between adjacent two actions is recorded, the fitting information is divided into standard time periods, a standard gradient is determined to obtain a weighted reference number, weighted weight calculation is performed based on the standard gradient and the weighted reference number, the life weight of the relay is updated according to the optimized weight, the remaining effective opening and closing times of the relay are calculated by using the updated life weight, and the life management of the relay is realized.

This application provides a vehicle battery life management method, apparatus, electronic device, and storage medium. The method includes: collecting vehicle usage data; quantifying the usage behavior into an impact coefficient on the battery health degradation rate based on a pre-built risk quantification model; determining a warning threshold for each usage behavior in each cycle based on the impact coefficient; generating personalized battery management suggestions and pushing them to an interactive terminal when a usage behavior reaches the warning threshold in any cycle; determining the user's adoption of the management suggestions and the battery improvement based on the usage data, and optimizing the suggestion strategy and calibrating the parameters of the risk quantification model based on the adoption and improvement. This application's embodiments, through the above method, help to achieve precise correlation and dynamic optimization between user behavior and battery life management.

Provide a system. 【Solution means】 Means for collecting user's electronic data and storing it in a database, Means for analyzing the user's goals and priorities, Means for using a generation model to optimize the schedule based on the analysis results, Means for adjusting the generation model based on feedback from the user, Means for sharing information and making adjustments between other user systems, Means for assisting in life management in a home environment, Means for optimizing the division of household chores based on a common schedule, A system including.

The present application relates to a kind of special intelligent detection and life management system and method of ladle sliding plate, belong to steelmaking equipment hot repair technical field.The present application is aimed at the problems of poor safety, extensive life management and unable to adapt to ladle high-temperature hot state, and provides intelligent system.The system includes non-opening detection module, multi-sensor fusion unit, intelligent life prediction module, intelligent control unit and data storage and interaction module;Non-opening detection module uses integrated detection head, integrates force feedback detection component, infrared thermal imaging component, acoustic detection component and visual detection component in the same head, is carried on the rotatable telescopic support fixed in the middle of two hot repair stations, realizes the detection without opening under the hot state of ladle hot state;Multi-sensor fusion unit optimizes processing data in high-temperature dust environment, intelligent life prediction module is built-in special model coupled with steelmaking process parameters and has self-learning function, and intelligent control unit realizes whole-process closed-loop management and control.

The application discloses a commercial and industrial energy storage EMS scheduling system based on multi-objective optimization and relates to the intelligent control field of energy storage systems. The application is used for solving the problem of insufficient adaptability of battery life attenuation, electricity price fluctuation and load mutation in energy storage scheduling. A life management module analyzes ion migration state to generate a dynamic power safety envelope line as a hierarchical optimization hard constraint; a feature extraction module constructs an electricity price correlation network, combines quantile regression to predict photovoltaic / load and extracts net load steep change features; a hierarchical optimization module compresses the depth of charging and discharging and activates load adjustment when demand risk occurs, optimizes economy, life loss and power grid constraints through tabu search multi-objective evolution synchronization, an execution arbitration module monitors the distance between power and the envelope line in real time, and when the distance is below the threshold, rolling optimization is started to improve the life weight and feedback lithium feature driven envelope line update, forming a closed loop protection.

The invention belongs to the technical field of building life management, and discloses a building full life cycle BIM management system for intelligent construction, and the system comprises a data perception and convergence layer which is used for collecting and integrating multi-source heterogeneous data from the planning and design, construction and operation maintenance stages of a building project; the platform core service layer is used for carrying out fusion and intelligent analysis on the multi-source heterogeneous data under a unified space framework of a BIM model; and the business application and interaction layer is used for providing visual collaborative management and intelligent application functions for users in different stages. According to the method, a unified data center is constructed, data islands of all stages of a traditional building project are broken, full-life-cycle data communication and closed-loop management from design, construction to operation and maintenance are realized, an artificial intelligence technology is utilized to enable a project decision, the intelligent level, the cooperation efficiency and the risk management and control capability of project management are improved, and the project management efficiency is improved. And the construction cost and the operation and maintenance risk are effectively reduced.

The invention discloses a steel wire rope full-life-cycle safety monitoring and adjusting method and system, and relates to the technical field of steel wire rope safety monitoring. The method comprises the steps of constructing an operation state scoring model and obtaining a state scoring value of a steel wire rope; dividing the steel wire rope into a plurality of behavior sections, and configuring a corresponding adjustment response mechanism; when the state score value crosses the boundary, entering a buffer state, and judging whether behavior section switching is carried out or not according to the boundary crossing stability of the state score value; scheduling integral value updating is carried out according to the task scheduling behavior, and a risk intervention response mechanism is triggered; and identifying the current life cycle stage of the steel wire rope, constructing a task atlas adaptation mechanism, and matching a suitable task type according to the current behavior section, the scheduling integral value and the life cycle stage of the steel wire rope to perform task allocation. A full-process and dynamic closed-loop steel wire rope service life management and dispatching control system is constructed, and the use value of the steel wire rope is maximized while safety is guaranteed.

The invention discloses a two-dimensional infrared temperature measurement method and device for the wall surface of a combustion chamber of a heavy-duty gas turbine. The temperature measurement method comprises the following steps: determining gas transmittance, target emissivity and a measurement wave band; calibrating the key parameters; establishing a target exitance formula, an environment reflection exitance formula, a gas exitance formula and a total radiation energy formula; solving the radiation exitance of the target black body; and according to the Planck's law, the real temperature is calculated. The two-dimensional temperature monitoring system for the wall surface of the combustion chamber of the heavy-duty gas turbine in the high-temperature and high-pressure environment is formed on the basis of an infrared thermal radiation imaging technology in combination with emissivity measurement and gas transmittance calculation, and non-contact two-dimensional wall temperature full-working-condition real-time online accurate measurement is achieved; and an important foundation is laid for dynamic optimized operation and intelligent service life management of the gas turbine.