73results about How to "Optimize allocation" patented technology

The invention provides a remote sensing monitoring multi-scale space grid index construction method and device, and belongs to the technical field of remote sensing monitoring, and the method comprises the steps: dividing uniform basic grids based on the geographic boundary of a monitoring region; calculating a service importance score fusing the supervision priority, the geographic complexity and the historical change frequency for each basic grid; according to the score, a preset threshold value and a dynamic decision, refinement, maintenance or aggregation operation is executed on the basic grid, and a service-adaptive multi-scale grid structure is formed; unified codes based on a Z-order curve are generated for all the grids; establishing association mapping between the water conservancy business object and the grid and determining a main grid; and finally outputting a spatial grid index fusing geometry, coding, hierarchy, attribute and association relationship. According to the method, the AI interpretation efficiency of the mass remote sensing data can be remarkably improved, the allocation of computing resources is optimized, and the accuracy of monitoring and early warning is improved through deep fusion with business rules such as river and lake supervision.

The application relates to the technical field of aerial video analysis, and discloses a large-scene multi-modal analysis system and method based on a UAV. The method acquires an original video frame sequence from aerial equipment, extracts a scene change period and an object motion trend by calculating an inter-frame motion feature vector, and judges whether a scene is in a stable or dynamic state by means of a state classification model. In the dynamic state, a tracking target position is calculated according to preset parameters, and an analysis target area is adjusted in combination with the motion trend; a camera parameter adjustment instruction is generated according to a deviation amount of the analysis target area from an actual object position, and is output to an executing mechanism; a complexity value is acquired through a scene complexity feedback signal, and when the complexity value exceeds a preset range, an adaptive algorithm is used to update an analysis strategy and output an adjustment signal; the output timing of control and strategy adjustment signals is optimized, the frame sequence and analysis parameter change trend are monitored in real time, preset parameters are dynamically updated to match user requirements, and efficient video analysis processing is realized.

The invention discloses a risk detection method, device and equipment for financial institution issuing items and a medium. The method comprises the following steps: calling an auxiliary platform data interface to obtain auxiliary service information according to a project identifier of a commanded item in response to the commanded item received from a payment gateway of a financial institution; synchronously acquiring associated business data for risk feature calculation; according to the auxiliary service information, performing compliance and authenticity verification on the issued item; if the verification is passed, taking a payer or a payee who issues the item on behalf as an analysis subject, and combining historical similar item records and associated business data of the analysis subject to generate multi-dimensional risk features; inputting the multi-dimensional risk features into a plurality of pre-constructed risk identification models, and generating corresponding risk signals; and according to the risk signal, generating risk alarm information of the issuing item. According to the embodiment of the invention, the intelligent, real-time and precise risk identification and early warning of the issuing items can be realized.

The invention discloses a photovoltaic-radiation refrigeration integrated glass curtain wall sunshade component, and relates to the technical field of photovoltaic building energy conservation, and the photovoltaic-radiation refrigeration integrated glass curtain wall sunshade component comprises a building wall surface, glass, an outer frame, a stand column, a sliding rail, an execution mechanism and a sunshade unit; the building wall surface is of a square structure and serves as a room enclosing wall and a positioning foundation; the glass is fixed on a peripheral building wall surface; the outer frame is fixed at the top end of the glass; the two stand columns are fixed to the two sides of the outer frame respectively, and a sliding rail is fixed in each stand column. The sunshade unit is arranged between the two sliding rails through an executing mechanism and comprises photovoltaic shutters, the sunshade area and angle are adjusted through the photovoltaic shutters, the radiation refrigeration function is implemented, and therefore the multiple functions of sunshade, power generation and heat dissipation are achieved, and dynamic balance of target indoor illumination and high power generation efficiency is continuously maintained. The technical effects of collaborative optimization of photovoltaic and sunshade functions, improvement of the heat dissipation effect, improvement of the regulation and control flexibility, meeting of the lighting requirement, maximization of the power generation efficiency and improvement of the energy-saving effect can be achieved at the same time.

The invention discloses an intelligent guidance system and method for shoulder pain rehabilitation, and belongs to the technical field of health information. According to the method, a continuous image sequence of the upper body of a user is obtained, real-time unmarked motion data of the user is generated based on a human body topology model and an optical flow field analysis method, and the unmarked motion data comprises a personal digital skeleton formed by joint angle estimation values and a force grading estimation value. According to the invention, non-interference and personalized rehabilitation monitoring and guiding are realized, the constraint that a physical sensor must be worn in traditional rehabilitation monitoring is eliminated by adopting a pure visual unmarked motion capture technology, and a patient is allowed to train in a completely natural state, so that the comfort and rehabilitation experience of the user are greatly improved, and the rehabilitation effect of the patient is improved. A high-quality data basis is provided for subsequent personalized guidance, and the willingness and compliance of the patient insisting in rehabilitation for a long time are effectively enhanced.

According to the liquid cooling system for the data center provided by the utility model, Freon is adopted as a heat exchange medium of the liquid cooling system, and a mechanical compression refrigeration direct expansion type air conditioning system (fluorine pump system) is combined with the liquid cooling system, so that the unification of an air cooling part and a liquid cooling part is realized, the pipeline is simple, the manufacturing cost is low, and the overall operation efficiency and the maintenance convenience are higher. The system has good expansibility and can be flexibly adjusted according to the outdoor temperature or the tail end load condition, and the refrigerating capacity of the cold source is correspondingly increased or reduced. The compressor is not directly connected with the evaporator and the CDU plate heat exchanger, but indirectly exchanges heat through the plate heat exchanger, so that the flow of a mechanical compression refrigeration loop is reduced, lubricating oil of the compressor is not easy to accumulate in the condenser I and the loop, the problem of unsmooth oil return of the compressor is avoided, and the service life of the compressor is prolonged. And the design support system is connected in parallel with the expansion mechanical refrigeration module, and the cold source can be flexibly adjusted according to the tail end load.

The invention discloses a cloud edge hierarchical collaborative information system integrated resource scheduling system. The system comprises an acquisition module. Data preliminary cleaning and feature extraction are locally executed through the edge end, only key feature data are uploaded, network transmission quantity is reduced, cloud computing pressure is relieved, real-time tasks can respond quickly, task timeout caused by transmission delay is avoided, feature vectors of the edge end and the cloud end are dynamically analyzed based on a scheduling decision model of reinforcement learning, and the real-time performance of the edge end is improved. Task requirements and resource states are intelligently matched, the scheduling accuracy is improved, model parameters are dynamically updated through task execution state data (such as duration and resource utilization rate deviation), the model is adaptively optimized along with environment changes (such as edge end hardware aging and cloud load fluctuation), the efficient scheduling capacity is kept for a long time, and the scheduling efficiency is improved. Layered processing and intelligent scheduling avoid edge end overload or cloud end resource idling, resource allocation of a CPU, a memory and the like is optimized, resource waste is reduced, and the system collaboration efficiency is integrally improved.

This invention discloses a method and system for verifying the integrity of approval data in a trusted data space, relating to the field of data security technology. The method includes: assessing and determining an approval risk coefficient and an approval urgency index based on the data attribute information and approval-related characteristics of the data to be approved; calculating and obtaining an appropriate approval time limit based on the approval risk coefficient and approval urgency index; using a time limit shorter than the appropriate approval time limit as an efficiency constraint to optimize the initial approval strategy, selecting the combination of approval nodes and the combination of approval node verification depths corresponding to the minimum predicted approval error probability as the appropriate approval scheme; and performing integrity verification on the data to be approved within the trusted data space according to the appropriate approval scheme. This invention effectively improves the integrity, reliability, and processing efficiency of the entire approval data chain in a trusted data space.

The invention discloses a cross-regional data intercommunication method, device, equipment and medium for the electric power Internet of Things, and the method comprises the steps: carrying out the layer-by-layer splitting of a target database table according to a preset multi-level business logic, obtaining a plurality of sub-tables and a sub-table splitting list, and carrying out the layer-by-layer splitting of a plurality of sub-tables according to the sub-table splitting list, sequentially generating a sub-table subordinate hierarchy list and a sub-table dependency list; monitoring the arrival state of each sub-table transmitted to the target safety area so as to calculate the proportion of the sub-tables arriving in the waiting period; if the sub-table proportion is greater than a preset threshold value, judging whether each arrived sub-table meets an independent processing condition or not according to a sub-table dependency list; and according to the subordinate hierarchical list of the sub-tables, merging the sub-tables capable of being processed independently to obtain a plurality of new database tables, and executing business processing of the power internet of things according to the new database tables. According to the invention, the problem of slow service processing response speed for waiting for complete data due to asynchronous arrival of the data in the data intercommunication process can be solved.

The invention relates to an information guidance strategy generation method, device and equipment in a multi-subject interaction scene, and relates to the technical field of reinforcement learning. The method comprises the following steps: defining a plurality of execution subjects participating in information guidance, and constructing a social network basic model; building a multi-agent strategy iteration framework, and initializing a strategy pool of each execution main body; generating a strategy interaction matrix through multiple rounds of simulation; solving an equilibrium strategy of each execution main body under the strategy interaction matrix, training an optimal response strategy and supplementing the optimal response strategy to a strategy pool to obtain an optimization strategy set; according to the optimization strategy set, the budget constraint and the node selection cost rule, the execution subjects select seed nodes from the social network basic model in sequence to deploy an information spreading starting point; and after the budget of all the execution subjects is used up, completing viewpoint evolution of all nodes in the social network basic model according to a viewpoint updating mechanism, and outputting an information guide strategy. According to the invention, a multi-agent cooperation strategy, dynamic viewpoint updating and resource optimization distribution can be integrated.

The application discloses an energy-saving gasoline generator set for heat separation discharge, and relates to the technical field of generators, which comprises a base, a shielding box, a gasoline generator set device, a dustproof and dehumidifying structure, a backflow air duct and a heat dissipation mechanism, wherein the heat dissipation mechanism comprises an air inlet duct, a first air duct and a second air duct which are arranged in the inner side wall of the shielding box; the first air duct comprises a plurality of air outlets which are uniformly arranged at the bottom of the side wall of the shielding box and are used for precooling the bottom through the cold air sinking principle; the second air duct is provided with a plurality of air outlets which are used for targeted and accurate cooling of different heat generation areas of the gasoline generator set device; a capsule for actively compensating the suction of cold air power and a self-adaptive component for targeted and rapid cooling according to the position of the part in different heat generation states are fixed in each chamber; and the energy-saving gasoline generator set can realize the technical effects of improving heat dissipation uniformity, optimizing heat dissipation resource distribution, ensuring sufficient heat dissipation power, improving flexibility and improving heat dissipation efficiency.

The invention relates to the technical field of intelligent logistics scheduling, and discloses a cargo transportation scheduling method and system based on artificial intelligence. The method comprises the following steps: performing standardized formatting preprocessing on original transportation task data to obtain standard task description data; task space-time coding is executed, and task space-time coding data containing time sensitivity weights and path conflict marks are generated; inputting the coded data into a trained deep neural network scheduling optimization model, and outputting a group of preliminary scheduling schemes; inputting the initial scheme into a multi-scheme game decision module, and selecting an optimal scheduling scheme based on a preset game rule and a real-time road condition information flow; and performing dynamic environment deduction on the optimal scheme, and generating an execution deduction path with a time label and a resource label. According to the method, constraint perception is enhanced through space-time coding, dynamic preferential selection is realized through game decision, and the accuracy and adaptability of cargo transportation scheduling are improved.

The application discloses a vehicle-mounted computing power sharing scheduling method based on user driving behavior analysis, and steps include: 1) based on user historical driving behavior data and current state of the vehicle, the priority of vehicle computing power sharing is evaluated; 2) the user end sends a computing power request to the cloud end; 3) based on the priority of vehicle computing power sharing, the cloud end schedules one or more vehicle ends with the highest priority, answers the computing power request, and uploads the answer result to the cloud end; 4) the cloud end summarizes the answer result and transmits to the user end. The application dynamically determines the time of starting vehicle computing power sharing by clustering and analyzing driving style data, does not depend on charging piles, and effectively utilizes idle computing power of the vehicle.

The present application relates to the technical field of equipment maintenance, and more particularly to an intelligent predictive equipment maintenance system, comprising a data acquisition module, a data processing module, a maintenance decision module, a maintenance execution module, a user interaction module and a closed-loop optimization module. The data acquisition module collects equipment operating parameters through the deployment of a sensor array to generate standardized data streams; the data processing module extracts time sequence features and performs state deduction through a virtual model to output fault analysis results; the maintenance decision module calls enterprise resource information for multi-objective optimization to generate a dynamic maintenance plan; the maintenance execution module assists in guiding the execution of maintenance through augmented reality and records data; the user interaction module dynamically displays equipment status and risk information; and the closed-loop optimization module updates model parameters based on feedback data. The system realizes predictive maintenance under data driving through module collaboration, effectively reduces unplanned downtime and resource waste, and improves fault diagnosis accuracy and operation and maintenance efficiency.

This invention relates to the field of wastewater treatment and discloses a device and method for the combined removal of heavy metals and antibiotics from wastewater. The device includes: a coagulation reaction zone, a pre-sedimentation tank, a high-efficiency sedimentation tank, an ozone distribution zone, an ozone oxidation tank, a primary anoxic tank, a primary aerobic tank, a secondary anoxic tank, a secondary aerobic tank, and a disinfection tank. The coagulation reaction zone is symmetrically and fixedly connected to one side of the pre-sedimentation tank, and the high-efficiency sedimentation tank is fixedly connected to the other side of the pre-sedimentation tank. This invention achieves rapid and efficient sedimentation of coagulated flocs through the combination of vertical and horizontal flow high-efficiency sedimentation tanks, removing heavy metals from wastewater in the form of precipitates. Furthermore, the advanced ozone oxidation process removes antibiotics, improves the biodegradability of the wastewater, and simultaneously disinfects the effluent, saving investment. In addition, the efficient solid-liquid separation of flat sheet membrane modules replaces the secondary sedimentation tank, effectively ensuring that the effluent is clear and meets standards.

The application provides a kind of expressway emergency response method and system based on management and control unit, by obtaining the event logic knowledge network of expressway emergency event and the driving event data in the control unit monitoring flow, the knowledge vector data of each control unit driving event in multiple emergency response stages with logical time sequence order can be systematically analyzed and processed. By fusing the initial knowledge vector data of each emergency response stage and the prior transmission knowledge vector data, more accurate and comprehensive transmission knowledge vector data is generated, and the corresponding response scheme of each emergency response stage is determined. This method not only improves the accuracy and efficiency of emergency response, but also optimizes the allocation and scheduling of emergency resources by determining the priority information of candidate control unit driving events. Finally, according to the priority information of each control unit driving event, the disposal event corresponding to the expressway emergency event can be quickly and accurately determined.

The application discloses a novel automobile bumper dry-type spraying room structure, relates to the design and manufacturing technical field of a bumper coating equipment on an automobile production line, and aims to design a novel automobile bumper dry-type spraying room structure which can reduce the use cost of a filter, the replacement cost of the filter and the treatment cost of solid waste, and the novel automobile bumper dry-type spraying room structure comprises a gas feeding room, a spraying room and an exhaust device, a gas feeding side adjusting partition plate is arranged between a spraying room dynamic pressure chamber and a spraying room static pressure chamber of the gas feeding room; the spraying room comprises a coating equipment chamber, a spraying room bottom surface and a grating plate, the coating equipment chamber is arranged in two rows, and the grating plate is arranged between the coating equipment chamber and the spraying room bottom surface; a fence is arranged at a lowest point area in the middle of the spraying room bottom surface along a spraying room air outlet; a waste liquid tank is arranged at a position in the middle of the lowest point in the middle of the spraying room bottom surface; a rear end of a main exhaust pipe of the exhaust device is connected with an exhaust fan, and a front end is connected with a secondary bag filter; and a secondary filter replacement inlet is arranged between a primary box filter and the secondary bag filter.

The application discloses a distributed adaptive framing output method based on large-range remote sensing images, and relates to the technical field of remote sensing image processing. The preprocessed large-range remote sensing images are stored in a COG format, the framing size and quantity are dynamically adjusted in combination with the target area range and resolution, the tasks are distributed by a data locality perception scheduler after Z-order curve sorting, the computing nodes load the framing data with a buffer area, the framing data is interpreted by a random forest, and the buffer area is cropped, finally, the virtual data set is aggregated, efficient distributed parallel processing of the large-range images is realized, the I / O bottleneck and the computing resource limitation are effectively relieved, the context missing problem on the framing boundary is solved, the intelligent interpretation efficiency and precision are improved, and the multi-resolution on-demand rendering and elastic expansion are supported to adapt to the data scale growth.

This application provides a method and apparatus for determining an aircraft's flight strategy. The method includes: acquiring a first model, which is obtained by training based on first training data, the first training data including flight state information of a first aircraft in a first time period, flight state information of at least one second aircraft in the first time period, and a target flight strategy of the first aircraft in the first time period; acquiring first parameters, the first parameters including flight state information of a third aircraft in a second time period and flight state information of at least one fourth aircraft in the second time period; and inputting the first parameters into the first model to obtain the flight strategy of the third aircraft. This method enables multiple agents to autonomously select routes for aircraft and adjust their speeds along flight paths through extensive training, thereby optimizing terminal area traffic allocation and improving air transport efficiency.

The application discloses a wireless sensing parameter determination method, device and equipment, and belongs to the field of communication sensing integration. The method of the application embodiment comprises the following steps: a first device determines first parameter adjustment information according to echo signal quality of a first target or parameters of the first target; the first parameter adjustment information is used for indicating signal transmission and echo signal reception at a second time; the first device detects echo signals of a first signal transmitted at a first time to obtain the echo signal quality of the first target or the parameters of the first target; or, the first device receives the echo signal quality of the first target or the parameters of the first target from a second device, wherein the echo signal quality of the first target or the parameters of the first target are obtained by detecting the echo signals of the first signal transmitted at the first time by the second device; the second time is after the first time; the value of the first parameter is determined by a first product, wherein the first product is the product of the transmission power of the first signal, the transmission end aperture gain and the receiving end aperture gain; and the parameters of the first target comprise at least one of the RCS of the first target and distance information of the first target.

The invention provides a satellite user capacity measuring and calculating method. The satellite user capacity measuring and calculating method comprises the following steps: measuring and calculating the user capacity when the uplink bandwidth of each beam is limited, the user capacity when the uplink power is limited, the user capacity when the downlink bandwidth is limited and the user capacity when the downlink power is limited; the smaller value of the user capacity when the uplink bandwidth is limited and the user capacity when the uplink power is limited is taken as the single-beam uplink user capacity; and taking the smaller value of the user capacity when the downlink bandwidth is limited and the user capacity when the downlink power is limited as the single-beam downlink user capacity. According to the method, the influence of the power in the uplink and downlink of the satellite on the estimation of the user capacity of the satellite system is considered, so that the measurement and calculation result of the user capacity is more accurate and better conforms to the actual satellite operation condition, and a satellite resource manager can accurately evaluate the current satellite resource use condition and the residual available satellite communication resources; and satellite communication resources are better planned and allocated, so that each satellite user can obtain high-quality satellite communication service.

The application provides a big data-based integral mall order rolling processing optimization method and system, which comprises the following steps: for the conflict order list, a dynamic priority adjustment mechanism is adopted, the order processing priority is adjusted based on the user behavior trajectory data including historical exchange preferences, and a resource allocation scheme is obtained; the order sequence is integrated through a queue reordering mechanism, the order sequence is rearranged based on the resource allocation scheme, a final processing sequence is obtained, the high-priority request is preferentially executed, and the queue stability is maintained; if there is a remaining conflict in the final processing sequence, a standby resource set scheduling mechanism is used to extract supplementary resources from a pre-device inventory, a complete execution plan is obtained, and the plan covers all order processing paths; based on the complete execution plan, the order processing progress is monitored, the real-time state is fed back through progress tracking and abnormality detection, iterative adjustment is performed, and a stable running order flow is obtained.

The invention discloses an indoor intelligent exhibition appliance digital twinborn management system based on big data driving, and the system comprises a behavior obtaining module which is used for deploying a multi-source heterogeneous sensing device to collect the moving track and interactive behavior original data of an exhibition viewer, and obtaining the behavior event log data of each exhibition appliance through data cleaning fusion and spatial correlation analysis; the behavior analysis module is used for converting the behavior event log data into analog load time sequence data by utilizing an exhibition appliance digital prototype based on the behavior event log data, training a physical information neural network according to the analog load time sequence data, and reasoning an exhibition appliance hidden physical state vector; and the preventive maintenance module is used for performing feature discretization and mutual information filtering on the hidden physical state vector of the exhibition appliance, constructing an optimized decision tree model fusing information gain and coefficient double splitting criteria to obtain a preventive maintenance work order, and realizing closed-loop digital twinborn management of the indoor exhibition appliance.

The present application relates to the technical field of agricultural product origin identification and traceability, and particularly discloses an agricultural product origin identification and traceability system and method based on characteristic fingerprints, which comprises the following steps: collecting agricultural product samples to obtain a target sample set; marking the target sample set with dominant characteristic fingerprints according to the dominant characteristics of the agricultural products, and performing one-class partitioning on the target sample set according to the dominant marking result to obtain a plurality of one-class sample clusters; marking the target sample set with recessive characteristic fingerprints according to the recessive characteristics of the agricultural products, and performing two-class partitioning on the target sample set according to the recessive marking result to obtain a plurality of two-class sample clusters; comparing the one-class partitioning result and the two-class partitioning result to determine whether to start a successive verification mode or a separate verification mode; based on the successive verification mode, obtaining each verification result, and determining whether to output an actual origin traceability result according to the verification results.

A membrane humidifier for a fuel cell, wherein a baffle is provided, includes: an intermediate housing having a fluid movement orifice through which fluid passes; a fluid movement section disposed in the fluid movement orifice of the intermediate housing; and a core disposed in the intermediate housing and having a humidifying membrane thereon, wherein the fluid movement section includes: a baffle disposed in the fluid movement orifice and having a plurality of windows; and a middle end cap connected to the intermediate housing from outside the fluid movement orifice.

The utility model relates to the technical field of multi-stage adsorption tanks, in particular to a multi-stage adsorption bed pressure balanced distribution structure which comprises an adsorption tank, an air inlet pipe is fixedly mounted at the bottom end of the adsorption tank, an air collecting plate is fixedly mounted at the bottom end in the adsorption tank, and the air collecting plate is fixedly connected with the air inlet pipe. A plurality of first distribution pipes are evenly and fixedly installed at the top end of the gas collecting plate, a plurality of partition plates are evenly and fixedly installed at the inner end of the adsorption tank, a connecting pipeline is fixedly installed in the middle of the top end of each partition plate, an electric control pressure adjusting valve is installed at the outer end of each connecting pipeline, and a distribution plate is fixedly installed at the top end of each connecting pipeline; a plurality of distribution pipes II are uniformly and fixedly mounted at the top end of the distribution plate; according to the utility model, the distribution pipe and the electric control pressure regulating valve are arranged, so that gas to be treated can be conveniently and uniformly distributed to each filter bed layer, and the situation that local flow is too large or too small is avoided, thereby ensuring that the pressure of each bed layer is relatively balanced.

The utility model relates to the technical field of cable laying, and discloses a municipal cable laying pay-off device which comprises an arc-shaped plate, the lower surface of the arc-shaped plate is fixedly connected with a side plate, the outer wall of the side plate is fixedly connected with a motor, the output end of the motor is fixedly connected with a threaded rod, and the outer wall of the threaded rod is in threaded connection with an upper guide wheel. A limiting frame is fixedly connected to the interior of the upper guide wheel, a lower guide wheel is slidably connected to the outer wall of the limiting frame, a cross rod is slidably connected to the inner wall of the lower guide wheel, a limiting plate is fixedly connected to the bottom of the limiting frame, and a guide assembly is arranged in the side plate. The guide assembly comprises a sliding block, a spring is arranged below the sliding block, and one end of the spring is fixedly connected with a side plate. According to the utility model, a cable passes through the space between the two guide shafts and is conveyed to the guide shafts along with the cable, and the motor operates along with the guide shafts to drive the threaded rod to move, so that the upper guide wheel moves left and right on the threaded rod, and a carding effect is achieved in the cable paying-off process.

The invention relates to the technical field of order supply and demand management, in particular to an order supply and demand matching method and system based on a near-end strategy optimization algorithm, and the method comprises the steps: obtaining order data and supplier data in real time; processing the obtained order data and supplier data, and constructing a multi-dimensional state vector including spatial-temporal features, supply and demand distribution features, historical matching features and real-time state indexes; on the basis of the multi-dimensional state vector, calculation is carried out through a near-end strategy optimization PPO algorithm, and matching probability distribution of the order and each candidate supplier is generated; according to the matching probability distribution, generating a matching decision in combination with an epsilon-greedy strategy to select a target supplier; sending a distribution instruction to the target supplier to execute order distribution operation; and recording interaction data of each distribution operation and storing the interaction data to an experience playback buffer area. Real-time fluctuation of a supply-demand relation can be quickly responded, a matching strategy is adjusted in time, and stable operation of the system in a complex scene is ensured.

The utility model relates to a manifold for laminar cooling manifold belongs to strip steel processing technical field. Manifold sets up between control valve group, manifold, manifold includes inlet pipe, water equalizing pipe, branch pipe, and cooling water passes through inlet pipe and enters manifold, and cooling water is close to even distribution to manifold. The water equalizing pipe is equipped with sieve plate, and the sieve plate disperses the water flow of inlet pipe to each branch pipe. The flow velocity in inlet pipe and branch pipe is less than or equal to 2 m / s, the cross section area of water equalizing pipe is at least 2 times of the cross section area of inlet pipe, the sieve hole area sum is at least 2 times of the cross section area of inlet pipe, the sieve hole and branch pipe hole are arranged in dislocation, when inlet pipe and branch pipe are opposite, the sieve plate does not have hole in the area of 1.5 times of inlet pipe. The position of cooling water inlet pipe of this manifold on water equalizing pipe is adjusted, and the water output of each branch pipe is still consistent, so that cooling water is evenly distributed to each manifold, and the cooling effect is improved.

The application discloses a natural resource information system distributed storage virtual node construction method based on a blockchain, relates to the technical field of the blockchain, constructs a virtual resource node to extract a key resource, obtains a node keyword, extracts features of the node keyword, and obtains a key node coefficient; performs symbol conversion and in-segment grouping on the obtained key node coefficient to obtain a key node code group, performs dynamic combination and exchange variation on the key node code group to obtain a front-end node matrix, statistically combines the front-end node matrix to obtain a node matrix set; transforms comprehensive resource data to obtain a resource code group set, matches and extracts the resource code group set according to the node matrix set to obtain an extraction state code, and performs matching storage and multi-edge matching through the extraction state code to obtain matched node resources and multi-state matching node resources; the utilization rate of the natural resources is improved, hardware resources are better managed and distributed, management is simplified, and costs are reduced.