409 results about "System construction" patented technology

The invention discloses an embedded system construction method and device, and the method comprises the steps: loading a configuration file which is a. Config file generated based on configuration parameters selected by a user through a visual configuration interface; when the CONFIGCONANAUTOUPDATE flag bit is detected to be in an activated state, the Conan warehouse data center is accessed, the latest compatible version of each Conan software package dependency item is inquired, and a semantic version constraint analysis algorithm is adopted to update a version identifier in the configuration file into the latest compatible version; generating a description file containing a dependency item list based on the updated configuration file, and generating a dependency lock file through a Hash locking mechanism; and importing the pre-compiled binary package into the construction environment, calling the corresponding pre-compiled binary package according to the version information and the Hash check value in the dependency lock file in the firmware compiling process, and executing hierarchical compiling operation.

The invention discloses a high and large formwork engineering supporting system construction method, and belongs to the technical field of building engineering. Comprising the following steps: step 1, arranging intelligent nodes in a high and large template support system to realize information sharing and group cooperative regulation and control among the nodes; step 2, dividing the support system into a plurality of mutually associated load control areas, and setting differentiated load control parameters; step 3, automatically optimizing a pouring path; 4, when the concrete strength reaches a preset threshold value, the supporting rigidity or the reserved deformation amount is automatically adjusted according to a preset program, and the concrete structure bears the dead weight step by step; 5, the temporary load is automatically compensated, when the load exceeds a safety threshold value, a load redistribution mechanism and a reinforcing device are triggered, meanwhile, an alarm is started, and abnormal data are pushed; and step 6, continuously optimizing control parameters, accumulating construction data, constructing a digital construction record and a knowledge base, and realizing intelligent iterative upgrading of the construction method.

The invention discloses a digital twinning system construction method and system based on flexible job shop scheduling, and relates to the technical field of digital twinning, and the method specifically comprises the steps: constructing a twinning model of a physical workshop according to the production data of the physical workshop; building a workshop scheduling discrete event simulation model based on the twinborn model of the physical workshop; based on an internal and external virtual-real interaction mechanism, virtual-real mapping interaction between the twin model of the physical workshop and the physical workshop and virtual-real mapping interaction between the twin model of the physical workshop and the workshop scheduling discrete event simulation model are realized, and a virtual workshop is generated; data generated in the interaction process is stored in a twin data pool in real time; a workshop service system is constructed based on a three-dimensional visual integration technology, so that a physical workshop and a virtual workshop carry out interactive feedback, and construction of a scheduling digital twin system is completed. According to the method, the self-adaptive capability of the system in the face of complex production tasks is enhanced, and flexible scheduling according to actual conditions is supported.

The invention relates to the technical field of tunnel engineering geological construction, and discloses a tunnel surrounding rock crustal stress intelligent analysis method and system based on parameters while drilling. Dynamic coordinate system construction, mechanical specific energy calculation, Stacking model classification, wave velocity ellipsoid modeling, dynamic weight fusion and differential drive re-calibration are realized, and three-dimensional stress field high-precision reconstruction and construction parameter optimization are completed; the system comprises a multi-source sensing module, a dynamic modeling module, a hybrid analysis module, an adaptive fusion module, a three-dimensional reconstruction module and a closed-loop control module. According to the method, high-precision ground stress analysis is realized through cooperation of multi-source data fusion and a mixed model and combination of dynamic weight distribution and a local re-calibration mechanism. Complementation of a wave velocity ellipsoid physical model and a Stacking integrated learning model is innovatively adopted, and octree space reconstruction and closed-loop control are combined, so that the complex geological adaptability is improved, and the construction efficiency and the system reliability are optimized.

The invention provides a dangerous large project special construction scheme AI auxiliary compilation system knowledge system construction and retrieval method, which comprises the steps of S1, multi-dimensional knowledge base construction: constructing a multi-dimensional knowledge base for storing dangerous large project compilation rules, specification standards, enterprise standards and project knowledge; s2, establishing a multi-level knowledge graph, establishing the dangerous and large project construction multi-level knowledge graph, and enabling the multi-dimensional knowledge base to form a knowledge system; s3, intelligently analyzing the multi-type documents; s4, knowledge management system construction, wherein the construction steps comprise knowledge classification; importing knowledge; automatic label prediction; and S5, constructing a multi-level knowledge representation and retrieval model. According to the method, on the basis of fully researching the current situation of scheme compilation, the knowledge characteristics in the building field and the bottleneck of the current large language model, the targeted knowledge system construction and efficient retrieval method is realized, and the technical problems of knowledge system construction and efficient retrieval and utilization of the AI auxiliary compilation system for the special construction scheme of the dangerous and large project are solved.

The invention relates to the technical field of embedded system construction, in particular to a software dependency relationship automatic integration method and system based on meta packaging, and the method comprises the steps: S1, creating a meta packaging framework in an embedded construction system, and defining and constructing a stage hook through a Makefile; s2, automatically deploying the pre-compiled software package and the shared dependency library to a target directory of a construction system through a resource injection script; s3, analyzing a metadata file of the pre-compiled software package, extracting dependency relationship information, and generating a global dependency relationship list based on a directed acyclic graph topological sorting algorithm; and S4, inversely writing the global dependency relationship list into the dependency declaration configuration of the meta-packaging by utilizing the dependency aggregation script. By implementing the scheme, the problems of dependency sequence disorder and metadata auditing failure during embedded system integration are solved, the reliability of system integration is improved, the system construction efficiency is optimized, the safety of system construction is enhanced, and the maintainability and expansibility of system construction are improved.

The invention relates to the technical field of risk evaluation index systems, in particular to a concrete dam flood risk evaluation index system construction method. The method comprises the following steps: carrying out flow velocity gradient analysis on river channel data of an upstream area of an earth dam to obtain river channel rainy season flow velocity gradient data; performing water depth increment rate calculation on the flow and flow velocity gradient data in the rainy season of the riverway, and performing stratified pressure water flow impact simulation calculation among different water depths to obtain stratified pressure water flow impact data; performing fatigue limit load strength estimation on the concrete dam structure design data according to the layered pressure water flow impact data to obtain fatigue limit load strength estimation data; performing flood risk level prediction on the fatigue limit load intensity estimation data to obtain flood risk level data; and carrying out risk evaluation system construction on the flood risk level data to obtain a flood risk evaluation system. According to the method, the risk evaluation index system technology is optimized, so that the risk evaluation index system technology is more perfect.

The invention belongs to the technical field of welding process optimization, provides a pipeline welding parameter optimization method and system for natural gas conveying system construction, and is used for solving the technical problems of high hydrogen-induced cracking risk, parameter dependence on artificial experience and optimization process isolation lag in shallow hydrogen natural gas conveying pipeline welding. According to the method, a visual image of a molten pool, a joint thermal field, electric arc electrical parameters and environmental data are synchronously collected through a multi-source sensor, a hydrogen diffusion-thermal coupling model is constructed to calculate hydrogen concentration and stress, after reference parameters of a knowledge base are called, current, voltage and speed adjustment amounts are generated through a GBDT algorithm, and then real-time correction is conducted through a closed-loop module. According to the method, hydrogen-induced cracking can be quantitatively prevented and controlled, the weld joint failure probability in the shallow hydrogen environment is reduced, the process robustness and quality consistency are improved, the safe service life of the pipeline is effectively prolonged, and the high-safety energy conveying requirement is met.

The invention discloses a construction method of a business process management system and electronic equipment. The construction method comprises the following steps: acquiring demand information of system construction; constructing at least one prefabricated body according to the demand information; each prefabricated body comprises description information of at least one object in at least one scene; the description information comprises part or all of models, materials, codes and animations of the objects; establishing a binding relationship between the at least one prefabricated body and each workflow; each workflow comprises at least one business flow, and each business flow comprises an operation flow of a set object in a set scene; in response to a development request of a target user, determining a target preform matched with the target user, so that the target user processes a target workflow indicated by the target preform and a target object in a target scene; and determining processing results of the plurality of users, and constructing a business process management system. By constructing the business process management system, multiple persons are allowed to perform parallel development in the same scene, and the efficiency is improved.

The invention relates to the technical field of intelligent water conservancy and automatic control, in particular to a polder area multi-station water conservancy data real-time collection and intelligent fusion processing method and system, and the method comprises the steps: a multi-dimensional collection system construction step: collecting time sequence state, fluid field and environment boundary data, and executing time base unified cleaning; an ideal model construction step: constructing an ideal water tank model based on the law of conservation of mass and generating an ideal water level change curve; a parameter injection simulation step: generating a simulation fault water level curve according to injection efficiency attenuation and medium leakage parameters; a double-track difference calculation step: respectively carrying out difference on actual measurement and simulation data and an ideal curve to generate real and theoretical residual vectors; a similarity judgment and control step: calculating sequence similarity to judge a real physical fault or sensor data noise, and generating a fusion control instruction; according to the invention, the technical problem of distinguishing the noise of the sensor from the real physical fault is effectively solved, and false alarm or missing alarm is avoided.

The invention provides an electric power system multi-agent parallel training method based on swarm intelligence optimization. The method comprises the following steps: constructing a system simulation model based on a to-be-controlled novel electric power system; constructing an initial multi-agent based on the system simulation model; initializing particle swarm parameters and initializing an initial multi-agent and a plurality of training agents; carrying out distributed parallel training on the plurality of training agents until all the training agents are trained, and obtaining a current round of multi-agents; acquiring fitness of each agent in the current round of agent group and updating particle swarm parameters, and further updating basic parameters of each agent in the current round of agent group to update a plurality of training agents; the distributed parallel training of the plurality of training agents is repeated until a preset training condition is met, and an agent group is obtained; and controlling the to-be-controlled novel power system based on the intelligent agent group. Parallel training of multiple agents is realized, and the control efficiency of a novel power system can be improved.

The invention relates to a superconducting power knowledge system construction method and system based on a lightweight large model. According to the method, multi-source data is utilized for unified representation, deep semantic information is obtained through a lightweight large model, knowledge extraction is achieved, and a basic knowledge graph is constructed; further forming a knowledge graph which can be dynamically updated through knowledge fusion; and in combination with real-time data, adaptive multi-hop reasoning is executed, and a diagnosis and decision result with a causal chain is generated. According to the method, the semantic understanding and reasoning ability of a lightweight large model is taken as a core, the structural expression advantage of a knowledge graph is combined, the limitation of updating lagging and fixed rule reasoning rigidness of a traditional static knowledge base is broken through, and precise cognition and causal chain inference of a complex system state are achieved. The method has universality and mobility, and is suitable for knowledge modeling and intelligent diagnosis of various electric power scenes and other complex industrial systems. The method is verified by taking a superconducting power system as an example, and the feasibility and effectiveness of the construction path are proved.

The invention provides a multi-dimensional knowledge extraction construction method and system applied to operation and maintenance technology services, and relates to the field of operation and maintenance technology services, and the method comprises the steps: firstly obtaining an operation and maintenance service full record generated in an operation and maintenance technology service process, and then carrying out the association network construction processing of the operation and maintenance service full record, and obtaining a target association network structure. And based on the structure, identifying the core record cluster, extracting complementary operation and maintenance information, and fusing to form an operation and maintenance knowledge module set. And then performing dynamic knowledge system construction processing on the operation and maintenance knowledge module set to form a target operation and maintenance knowledge system with a self-adjustment capability. And finally, based on the target operation and maintenance knowledge system, aiming at the newly received operation and maintenance service request, generating operation and maintenance service response content containing the resource optimization suggestion, thereby effectively improving the operation and maintenance service quality and efficiency.

The invention discloses a lithofacies analysis system and method based on a shale geology-mechanics coupling lithofacies classification system, and relates to the field of shale lithofacies analysis. The system construction module determines a geology-mechanics coupling lithofacies classification system according to the information data of the data acquisition module; the prediction module determines single well lithofacies prediction information; the feedback adjustment module performs feedback adjustment on the single well lithofacies prediction information according to a set rock mechanics and ground stress parameter range to obtain adjustment information; the three-dimensional model construction module adopts a genetic algorithm to perform seismic attribute embedding and integrated inversion according to the seismic attribute data and the adjustment information, and adopts a collaborative Kriging method to construct a three-dimensional model of geological-mechanical coupling lithofacies well-seismic collaborative modeling; and the parameter model determination module adopts a layer control-phase control double-control method to control constraints, determines the heterogeneity of shale bed geological-mechanical characteristics in three-dimensional space distribution, and is used for providing a basis for a building and producing area so as to explore and develop artificial oil and gas reservoirs.

The invention specifically relates to a risk assessment method based on the combination of a fuzzy analytic hierarchy process and TOPSIS, and relates to the technical field of tunnel engineering construction safety. Constructing an index system; performing fuzzy hierarchy analysis; and TOPSIS evaluation is carried out. According to the invention, various means of drilling coring, image acquisition, water pressure monitoring and settlement measurement are adopted, so that geological, hydrological and construction process data are comprehensively obtained; in the geological deviation coefficient calculation, the rock mass integrity and the fracture development degree are depicted by using the proportion of the rock core length to the footage and the fracture projection area; hydrological deviation coefficients are subjected to shallow hole and deep hole water pressure fluctuation analysis, influence degrees and quantitative face values are combined, and a time-space evolution rule of water pressure abnormity is captured in a multi-dimensional mode; complex risk factors are converted into measurable indexes, deep analysis of tunnel construction risks is achieved, scientific and comprehensive data support is provided for risk assessment, and the accuracy and reliability of assessment results are remarkably improved.

The invention relates to a novel electric power system technical standard system construction utility evaluation method and system, and the method comprises the following steps: obtaining the demands of a novel electric power system for technical standards as evaluation indexes, and obtaining an evaluation factor set; determining an evaluation comment set according to the evaluation standard of each evaluation index; determining the weight of each evaluation index by using an analytic hierarchy process; performing actual judgment on the novel power system, and determining a fuzzy relation matrix between the evaluation factor set and the evaluation comment set according to an actual judgment result; calculating a weight vector and a fuzzy comprehensive evaluation matrix by using fuzzy multiplication to obtain a fuzzy evaluation matrix; and assigning the evaluation grade, calculating a final score of the novel power system by adopting a weighted average method, and evaluating the construction effectiveness of the technical standard system of the novel power system according to the score. Compared with the prior art, the method integrates multiple methods for evaluation, so that the evaluation result is more comprehensive and objective.

The invention relates to the technical field of power system construction and mechanical construction, in particular to a GIM-based power transmission mechanical construction simulation analysis method and related products, and the method comprises the steps: collecting GIM model data, satellite image data and laser radar data of a construction area; collecting equipment parameter data of the construction engineering mechanical equipment; combining the GIM model data, the satellite image data and the laser radar data to construct a construction site model; constructing a mechanical equipment model according to the equipment parameter data; determining path planning and equipment scheduling through the construction site model and the mechanical equipment model, and loading the path planning and the equipment scheduling to the simulation platform to simulate the construction process; through the three-dimensional visualization and simulation analysis of the construction site, the construction management personnel can intuitively know the construction progress and potential risks and make an adjustment decision in time. Meanwhile, manual intervention is reduced through automatic data analysis and optimization suggestions, and the accuracy and reliability of analysis are improved.

A system constructing device for constructing a system including an infrastructure resource and a setting value of the relevant infrastructure resource in a predetermined execution environment, the system constructing device including: an input section that inputs a request for a system construction satisfying a desired requirement; a system source code generating section that generates first source code defining a system satisfying the desired requirement; a deploying section that deploys and constructs the system in the execution environment on a basis of the request; a setting change detecting section that, when the system constructed in the execution environment is changed, detects a difference between second source code defining the relevant changed system and the first source code; and a setting change reflecting section that reflects the difference detected by the setting change detecting section in the first source code, the setting change reflecting section reflecting the difference in the first source code on a basis of a coding rule applied to the first source code.

The embodiment of the invention discloses an electricity-hydrogen-heat energy system construction method for a multi-type energy demand scene. The method comprises the following steps: constructing a system simulation model corresponding to an electricity-hydrogen-heat energy system, and determining a target limiting condition corresponding to the system simulation model in a target energy demand scene based on a target cascade analysis method; and finally, determining system target equipment parameters of the electricity-hydrogen-heat energy system under the target limiting condition according to the annual total construction resource function, and constructing a target electricity-hydrogen-heat energy system according to the system target equipment parameters. Through the construction method of the target electricity-hydrogen-heat energy system, the optimal system equipment parameters are automatically and correspondingly determined while the multi-type energy requirements in different scenes are met, the system construction cost is reduced, heat recovery of the hydrogen fuel cell is achieved by introducing the heat storage tank, the renewable energy utilization efficiency of the system is improved, and the energy utilization efficiency of the system is improved. And the use satisfaction of the user is improved.

The utility model relates to the technical field of all-air air-conditioning systems, in particular to a novel all-air air-conditioning transmission and distribution pipeline system which comprises a variable-diameter pipeline joint connected with an air outlet of a unit, one end of the variable-diameter pipeline joint is connected with a first rectangular straight pipe, one end of the first rectangular straight pipe is connected with a transition assembly used for penetrating through a wall or a lintel, and the other end of the first rectangular straight pipe is connected with a second rectangular straight pipe. The transition assembly is connected to one end of a second rectangular straight pipe, the other end of the second rectangular straight pipe is connected with one end of a third rectangular straight pipe through a rectangular straight joint, and the other end of the third rectangular straight pipe is connected with a rectangular elbow. According to the novel all-air air conditioner transmission and distribution pipeline system, the purpose of reducing the pipe diameter can be achieved through connection among the square-to-round straight joint, the round straight pipe and the round-to-square elbow, damage of system construction to a building main body structure is reduced, construction accidents are avoided, and the construction efficiency is improved. And it can be guaranteed that air passing through the pipeline can carry enough cold and heat quantity and fresh air demand quantity, and it can be guaranteed that the cold and heat quantity value conveyed to each room is balanced.

The invention discloses an SCADA system construction method based on a BIM model and an SCADA system, and the method comprises the steps: building digital BIM models based on equipment types and equipment parameters, including a BIM equipment model and a BIM information model, and carrying out the grading processing and lightweight processing of the models according to different hierarchy requirements; the BIM equipment model is applied to two-dimensional and three-dimensional SCADA systems, and the information model is stored in a database; the SCADA system is subjected to hierarchical design, the fine degree of equipment display is planned in each hierarchy, model equipment of different hierarchies is loaded, and equipment state information is displayed by adopting a multi-hierarchy interface; performing lightweight processing on background data of the SCADA system according to the display interface hierarchy; a system alarm and a control interface are monitored and displayed in a centralized manner; the system client configures a multi-partition display mode; according to the invention, the project development efficiency of the SCADA system, the system operation fluency and the user use convenience are improved.

The invention discloses a building construction foundation pit supporting structure and a supporting method thereof. The structure comprises a foundation, fender posts, water stop piles, supporting piles, a top beam, a waist beam, anchor cables, a slope protection concrete layer, a soil nailing wall concrete layer, a gravel cushion layer, a water suction pump, a water suction pipe, a well lid, a deepened bearing platform, a reinforced brick tire film and a well casing. The method comprises the steps of 1, field leveling; step 2, enclosure system construction; thirdly, a water stop system is constructed; fourthly, well point dewatering construction is conducted; 5, layered earth excavation is conducted; sixthly, a pit bottom cushion layer is constructed; the pit bottom multi-layer composite cushion layer structure is designed, the gravel cushion layer with the appropriate thickness is laid at the pit bottom so that redundant water can be rapidly removed, the foundation bearing capacity can be enhanced, then the reinforced thickened concrete cushion layer is additionally arranged on the gravel cushion layer, and the overall strength and rigidity of the cushion layer are improved through a reinforcing mesh or a fiber reinforced material; upper loads are effectively dispersed, and pit bottom soil is prevented from further extrusion deformation.

The invention relates to the technical field of line defect identification, and discloses an overhead line defect intelligent identification and positioning system, which comprises a span reference system construction module for constructing a span reference system; the catenary fitting module is used for fitting a catenary curve; the wire temperature inversion module is used for obtaining the real temperature of the surface of the wire through inversion; the temperature-induced sag expectation calculation module is used for carrying out iterative solution to obtain temperature-induced sag expectation; the candidate position scanning module is used for scanning to obtain a candidate position set; and the defect positioning module is used for generating a positioning coordinate in the span reference system when the transverse and vertical displacement ratio of the candidate position is greater than or equal to the lead defect threshold value. According to the method, the real temperature of the surface of the wire is inversed, the temperature-caused sag expectation is constructed, the influence of the temperature on the sag is corrected, the normal sag change caused by the temperature is prevented from being misjudged as a defect or missed detection of a real defect is avoided, a noise reference is established by a tower cross arm and other rigid structures, the defect is judged in combination with physical noise, and the defect recognition accuracy is improved.

The invention discloses a novel electric power system construction evaluation method and system based on multi-dimensional indexes, and the method comprises the steps: constructing a novel electric power system construction evaluation index system covering thermal power, wind power, photovoltaic, power grid and energy storage multi-element subjects, the novel power system construction evaluation index system comprises a safety adequacy evaluation index, a flexible intelligent evaluation index, a clean low-carbon evaluation index, an economic efficient evaluation index and a supply and demand collaborative evaluation index. Calculating and quantifying each index in the novel power system construction evaluation index system to obtain a calculation result of each index; setting evaluation standards of the indexes, and giving scores to calculation results of the indexes; a DEMATEL-ANP method is used to carry out assignment on the weight of each index; and performing weighted statistics on the indexes with the scores and the weights to obtain a comprehensive evaluation result of the novel power system construction. According to the invention, the overall level of novel power system construction can be evaluated more comprehensively and accurately.

The invention discloses a heat preservation integrated floor slab system of an assembly type modular steel structure trestle, and belongs to the technical field of assembly type steel structure trestles. A floor slab module is composed of a plurality of prefabricated concrete groove-shaped plates arranged in sequence, and heat preservation materials are arranged at the bottoms of the prefabricated concrete groove-shaped plates; the multiple prefabricated concrete groove-shaped plates are sequentially arranged in the square frame in the length direction of the end transverse beams. Compared with an existing traditional floor slab system construction mode, installation is convenient and efficient, and on-site wet operation is little.

The invention relates to a pumped storage power station capacity optimization configuration method, and belongs to the technical field of power system planning. The method comprises the following steps: constructing a power grid system construction cost model based on installed capacities corresponding to a pumped storage power station, wind power generation, photovoltaic power generation and thermal power generation respectively and a unit construction cost predicted value of the pumped storage power station; constructing an environmental benefit model based on the output of the pumped storage unit, the wind turbine generator and the photovoltaic unit in each time period; constructing a pumped storage power station capacity optimization configuration objective function based on each model by taking the minimum total cost as an objective; and solving the target function based on system power balance constraint, pumped storage power station constraint, wind curtailment and light curtailment rate constraint, wind power photovoltaic output constraint, thermal power generating unit constraint and wind and light output simulation data to obtain an optimal capacity configuration scheme of the pumped storage power station. According to the method, the capacity configuration of the to-be-constructed pumped storage power station can be reasonably planned, the power grid operation requirement is met, the power grid clean energy utilization rate is improved, and waste of construction cost and energy waste are avoided.

The invention provides a tunnel overhead line system davit mounting method, device and equipment, and relates to the technical field of tunnel overhead line system construction equipment.The tunnel overhead line system davit mounting method comprises the steps that S101, a gripper of a second mechanical arm is controlled to grab an overhead line system davit on the ground, and the second mechanical arm is controlled to move the grabbed overhead line system davit to a mounting position of the top of a tunnel; and S102, the first mechanical arm is controlled to act, the manned platform is moved to be close to the installation position, and therefore an operator can conduct installation operation on the overhead line system davit grabbed by the second mechanical arm with the help of the manned platform. Through cooperation of the two mechanical arms, the first mechanical arm and the second mechanical arm can cooperatively install the overhead line system davit, convenience and high efficiency are achieved, and less manual operation is needed.

The invention is applicable to the field of oral liquid preparation, and provides an oral liquid clarification, sedimentation stabilization and layering prevention preparation process which comprises the following steps: raw material pretreatment, gradient membrane separation, sedimentation stabilization system construction, mixing and homogenizing, online monitoring and regulation and finished product filling. According to the invention, through the design of the three-stage series gradient filtering membrane assembly, accurate layered interception of impurities with different particle sizes is realized, and the defect that a single-aperture filtering membrane is either incomplete in interception or easy to block is avoided; meanwhile, the pressure regulation and control module is used for dynamically adapting the filtering pressure of each stage of filtering membrane, and the smaller the membrane aperture is, the larger the corresponding filtering pressure is, so that each stage of membrane works in the optimal pressure interval, the low filtering efficiency caused by insufficient pressure is avoided, and the membrane damage or effective component interception caused by overhigh pressure is prevented; the stability of the clarification effect is remarkably improved, the cleanliness of the finally obtained clarified extracting solution is high, and the risk of impurity aggregation and precipitation in the subsequent storage process is greatly reduced.

The invention relates to a micro-grid photovoltaic energy storage capacity optimization method based on double-layer multi-target collaborative decision, and the method comprises the following steps: 1, analyzing the structure and operation mode of a new energy micro-grid in a rural region, and constructing a capacity optimization configuration model of an optical storage system; step 2, optimizing an objective function by an inner layer and an outer layer; the inner-layer optimization target is to minimize the daily volatility of the complementary power generation system and minimize the daily peak-valley difference; 3, solving an optical storage capacity optimal configuration model: obtaining an optimal Pareto solution set of the target function by adopting a quantum particle swarm algorithm; 4, adopting an interactive multi-criterion decision based on compromise solution selection; 5, outputting a capacity configuration scheme with the optimal comprehensive efficiency; the method has the advantages that intermittency and peak regulation capacity are comprehensively considered, stable power supply is ensured, power supply reliability is improved, energy utilization efficiency is improved, system construction and operation cost is reduced, and economic benefits are improved.

The invention relates to the technical field of property right project management, in particular to a dynamic management system and method for property right project state tags. The method comprises the following steps: a data acquisition and processing unit acquires project data and preprocesses the project data; a state label system construction unit constructs a multi-level state label system by using a property right project full life cycle process based on the preprocessed project data; and the state reasoning and dynamic updating unit is used for identifying the change trend of the project state based on the multi-level state tag system by adopting a level state machine model, generating a state tag set, dynamically updating the tag set when a project business event occurs, and generating a dynamically evolved state tag set. According to the method, a hierarchical state machine model and a link correction mechanism are introduced, a label set is dynamically updated when a service event is triggered, and structure-level compensation is carried out on inference interruption caused by data missing or cross-system inconsistency.