43results about How to "Achieve optimal utilization" patented technology

The invention relates to an energy self-adaptive communication method and system based on a sensing acquisition system, which are applied to the technical field of sensor networks, and the method comprises the following steps: arranging sensors at preset node positions, and carrying out network initialization; detecting the energy state of the sensor at the node position in real time, wherein the energy state at least comprises the residual electric quantity and the voltage level; dynamically adjusting communication parameters according to the energy state, and selecting an optimal communication protocol; sharing the information of the energy state among the nodes in a low-power-consumption broadcast mode; and performing node data relay and energy transfer based on the shared energy state. Through energy detection and communication parameter adjustment between sensor nodes, energy state information can be shared between the nodes, and the communication mode is cooperatively adjusted based on the information, so that optimal utilization of energy is realized.

The invention relates to the technical field of transaction data verification, in particular to a transaction data verification method and system. The method comprises the following steps: carrying out transaction data acquisition on block chain network nodes to obtain an original transaction data set; performing adaptive heterogeneous fragmentation on the original transaction data set to obtain a fragmented transaction data set; performing verification weight coefficient distribution on the fragment transaction data set to obtain a weighted fragment transaction data set; performing multi-level verification engine deployment on the verification nodes to obtain a layered verification node network; performing asynchronous message queue mechanism configuration on the hierarchical verification node network to obtain a parallel verification network cluster; and performing load balancing scheduling on the weighted fragment transaction data set based on the parallel verification network cluster to obtain a transaction verification task sequence. According to the invention, the throughput and transaction confirmation speed of the block chain system can be effectively improved.

The invention discloses an outdoor environment monitoring method and system, a storage medium and a program product, and the method comprises the steps: obtaining a plurality of initial detection sub-regions; performing preliminary sampling at the central point of the initial detection sub-region to obtain initial environment data; constructing an environment parameter space distribution model; calculating a variation coefficient, and determining a high-variation sub-region; judging whether the area of the high-variation sub-region is greater than a preset minimum area or not; if yes, the minimum sub-region is divided, and the center point serves as a sampling point; if not, increasing a preset number of sampling points; controlling the detection unmanned aerial vehicle to perform secondary sampling at the sampling points to obtain initial environment data, and updating the environment parameter spatial distribution model; calculating an updated overall prediction error, and judging whether the updated overall prediction error is greater than a preset error; and if not, determining the initial environment data with the maximum similarity, and determining the region corresponding to the sampling point as a candidate experiment region. According to the invention, the accuracy of the environmental parameters detected in different outdoor environments is improved.

The invention discloses a stepped hydropower station multi-objective optimization method considering incoming water uncertainty, and relates to the technical field of hydropower station optimization scheduling. Comprising the steps of considering water balance between cascade hydropower stations, and establishing an optimal scheduling model of the cascade hydropower stations; based on the short-term and long-term allocation targets, combining the short-term and long-term allocation targets by adopting a layered optimization method; constructing a random dynamic optimization model of the uncertainty influence of the incoming water side based on normal distribution; a deterministic dynamic programming method is used for preliminary solving, a preliminary solving result is used as an initial state of random dynamic programming, and inflow uncertainty is optimized. According to the invention, the overall operation efficiency and robustness of the system are improved, the optimal utilization of water resources is realized, and a brand new solution is provided for the optimal scheduling of the stepped hydropower station.

The invention provides a model training method and device, electronic equipment and a storage medium, and relates to the technical field of distributed computing. The method comprises the steps of dividing a context into context tasks based on structural analysis of a to-be-trained model; performing dependency relationship analysis on the context task to determine a task dependency graph; configuring priorities for the context tasks according to the task dependency graph, distributing the context tasks with the configured priorities to corresponding computing nodes, training according to an execution sequence, and obtaining load information and task execution information of the computing nodes; and according to the load information and the task execution information of the computing nodes, scheduling context tasks among the computing nodes, adjusting the execution sequence of the context tasks in the computing nodes, and outputting a training result. According to the real-time load condition of each node, task allocation is adjusted, load balancing of the computational nodes is realized, the utilization efficiency of computational resources is improved, a context task scheduling strategy is optimized, the utilization rate of the computational resources is improved, and the training time is shortened.

The invention relates to the technical field of wind power plants, and provides a wind power plant site selection method and system based on a three-dimensional model, and the method comprises the steps: obtaining a three-dimensional model and a plurality of site regions in the three-dimensional model; for each site area, fan type matching is carried out, the maximum fan number and the maximum fan arrangement scheme are determined in combination with the terrain and the wind resource atlas, and the maximum fan arrangement scheme is displayed in the three-dimensional model; and obtaining a fan selected in the three-dimensional model, generating a boundary area based on the position of the selected fan, calculating to obtain a buffer radius according to the terrain and fan distribution condition in the boundary area, and expanding the boundary area based on the buffer radius to obtain an optimal site area. And the accuracy and reliability of wind power plant site selection are ensured.

The invention provides a dynamic bandwidth adaptive control routing system and a dynamic bandwidth adaptive adjustment method. The system comprises a bandwidth control mechanism, a routing switching mechanism and a target bandwidth level monitoring mechanism, the bandwidth control mechanism is used for receiving an access request of accessing a target node by a source node and releasing the access request according to a passing rate corresponding to a configured bandwidth; the routing exchange mechanism forwards the access request to the target bandwidth level monitoring mechanism; the target bandwidth level monitoring mechanism monitors the actual bandwidth of the target node; the target bandwidth level monitoring mechanism also generates a bandwidth adjustment message of the target node by comparing the actual bandwidth with the maximum transmission bandwidth of the target node, and transmits the bandwidth adjustment message to the bandwidth control mechanism corresponding to the source node through the routing switching mechanism; and adjusting the configuration bandwidth for the source node to access the target node.

The invention relates to a carbon source addition optimization control system and method based on a sidestream sludge hydrolysis and MABR coupling technology, and belongs to the technical field of sewage treatment and environmental protection. According to the system, on the basis of a multi-stage AO process, an MABR membrane assembly is arranged in a first anoxic zone, a side flow sludge hydrolysis tank is arranged in front of an anaerobic process section, and on-line monitoring and a PLC control system are combined, so that sludge hydrolysis is accurately controlled to supplement a carbon source in the system and reduce the addition of exogenous carbon; the system comprises an on-line monitoring system, a carbon source feeding system, a sludge external reflux system, a sludge internal reflux system and a PLC control system, and through real-time monitoring and automatic regulation, the feeding amount of the carbon source is optimized, the denitrification effect is improved, and the material consumption cost of the carbon source and carbon emission are reduced; the method realizes efficient utilization of a carbon source, energy conservation and emission reduction, ensures stability and high efficiency of a sewage treatment process, provides powerful technical support for water environment protection, has wide applicability and extremely high popularization and application values, and contributes to environmental protection.

The invention relates to the technical field of absolute ethyl alcohol synthesis, and discloses an absolute ethyl alcohol synthesis production monitoring and control system, which integrates a reaction kettle monitoring module, a synthesis equipment module and an intelligent control module, and realizes comprehensive monitoring and intelligent control of an absolute ethyl alcohol synthesis process. The reaction kettle monitoring module collects data such as temperature, pressure, liquid level and reactant concentration in real time, and a basis is provided for intelligent control. The synthesis equipment module comprises a reaction kettle, a stirrer, a heating / cooling device and a rectifying tower and is responsible for synthesis and purification of absolute ethyl alcohol. The intelligent control module constructs an absolute ethyl alcohol synthesis decision-making model, models a synthesis process into a Markov decision-making process, and automatically adjusts an equipment working mode according to real-time data and preset parameters so as to optimize production. According to the system, the energy utilization efficiency is effectively improved, the production cost is reduced, and safe production is ensured.

The invention provides video processing equipment and a video processing method. The video processing device comprises a multi-core processor, a task scheduling module, a visual processing unit and a cooperative control module, and the multi-core processor is used for sending a task queue corresponding to a video stream to the task scheduling module; the task queue comprises a plurality of to-be-processed tasks and real-time levels corresponding to the tasks; the cooperative control module is used for monitoring the states of the visual processing unit and the multi-core processor to obtain state information and sending the state information to the task scheduling module; the task scheduling module is used for dynamically distributing each task to a target processing component corresponding to each task according to the real-time level and state information corresponding to each task, and each target processing component comprises a multi-core processor and a visual processing unit for processing; the target processing component is used for processing each task to obtain an output result corresponding to the video stream; and the multi-core processor is used for outputting an output result corresponding to the video stream.

The invention discloses a mine vehicle scheduling method, device and equipment and a storage medium. Comprising the steps of performing production configuration for a current working condition, and obtaining working condition related data based on configuration information; determining the state of each excavator and the state of each mine truck according to the working condition related data; and determining the working condition of the current working condition according to the state of each excavator and the state of each mine truck, and dispatching the mine truck based on the working condition. By determining the states of the excavator and the mine truck, reasonable allocation of vehicle resources is facilitated, idling or overuse of vehicles is avoided, optimal utilization of resources is achieved, production arrangement can be more suitable for the actual situation, production delay and resource waste caused by unreasonable configuration are reduced, and therefore the overall production efficiency of a mine is improved. And clear and accurate working condition and vehicle state information can be provided for mine managers by determining the working condition, so that the mine managers can make reasonable vehicle scheduling and management decisions, and the operation management level of the mine is further improved.

The utility model provides a device for preparing potassium sulfate by regenerating solid hazardous waste salt, which comprises a solid waste salt refining system, a potassium sulfate preparation system and a glaserite mother liquor refining system, the solid waste salt refining system comprises a waste salt cracking furnace, a waste salt dissolving tank, a plate and frame filter and a mirabilite system which are sequentially connected through pipelines, the waste salt cracking furnace is provided with a waste salt receiving pipe, the plate frame filter is provided with an impurity discharge pipe, the mirabilite system is provided with a mirabilite solid output pipe, the potassium sulfate preparation system comprises a mirabilite liquid preparation kettle, a primary conversion kettle, a centrifugal machine and a secondary conversion kettle which are sequentially connected through pipelines, and the mirabilite liquid preparation kettle is connected with the mirabilite solid output pipe. The first-stage conversion kettle is provided with a first potassium chloride input pipe and a first water input pipe, the centrifugal machine is provided with a glaserite solid output pipe and a glaserite mother liquor output pipe, the second-stage conversion kettle is connected with the glaserite solid output pipe, and the second-stage conversion kettle is provided with a second potassium chloride input pipe, a second water input pipe and a potassium sulfate solid output pipe. The glaserite mother liquor refining system comprises an adsorption-desorption tower, a desorption solution cooling kettle, a crude glaserite evaporation system, a crude glaserite separator and a glaserite refining kettle which are sequentially connected through pipelines, the adsorption-desorption tower is connected with a glaserite mother liquor output pipe, and the glaserite refining kettle is provided with a glaserite solid output pipe; and the glaserite solid output pipe is connected with the secondary conversion kettle. By utilizing the solid waste salt refining system, the potassium sulfate preparation system and the glaserite mother liquor refining system, waste salt is prepared into potassium sulfate which can be sold as agricultural fertilizer, and refined salt is produced as a byproduct, so that the economic benefits of enterprises are improved, the comprehensive utilization of waste salt resources is realized, and the problem of industrial waste salt treatment is solved.

The invention discloses a method for accelerating sparse matrix calculation on a tensor processing unit and a storage medium, and the method comprises the steps: obtaining a first matrix which comprises a row index value or a column index value, and is a sparse matrix obtained based on an input sequence; reordering rows and columns of the first matrix based on the row index value or the column index value to obtain a second matrix, so that the cache hit rate of the second matrix is higher than that of the first matrix; and reading a third matrix from a memory of the GPU, and performing operation on the second matrix and the third matrix, the third matrix being a matrix for performing operation with the second matrix, and the third matrix being obtained based on the input sequence. By means of the technology, the matrix operation is executed on the sensor core, redundant calculation operation is reduced, the cache hit rate in the running process is increased, efficient calculation of the sparse matrix and optimal utilization of operation resources are achieved, and the overall performance of matrix calculation is greatly improved.

The utility model provides a chain saw which solves the problem that in the prior art, the oil pumping amount of a lubricating system can not be adjusted according to actual requirements. The cutting assembly comprises a driving device and a cutting structure in driving connection with the driving device; the lubricating system comprises a liquid supply device and a pump body, and the pump body is used for pumping a lubricating medium stored in the liquid supply device into the cutting assembly; the pump quantity adjusting assembly comprises a first adjusting structure, the first adjusting structure is electrically connected with the pump body, the first adjusting structure has multiple quantity adjusting modes, and different quantity adjusting modes of the first adjusting structure correspond to different conveying quantities of the pump body.

The utility model discloses a graphene transfer device for different substrates, and belongs to the technical field of graphene production, the graphene transfer device comprises a tank body and a barrel body arranged on the tank body in a sliding mode, the interior of the tank body is divided into a plurality of processing units through a partition plate assembly, the partition plate assembly is provided with an upper plate body and a lower plate body, and the upper plate body and the lower plate body are arranged in a staggered mode. The lower plate body is a sealing plate body, and the upper plate body is an opening and closing plate door; and the bottom of the cylinder body is higher than the top of the lower plate body. According to the graphene transfer device aiming at different substrates adopting the structure, a series of steps of graphene wet transfer are mechanized, graphene transfer is completed by using a machine, and copper-based graphene films can be automatically cleaned in batches so as to obtain silicon-based graphene films; a new thought and scheme are provided for large-area graphene transfer in industrial application, and the problems that at present, manual operation is relied on, and a large amount of manpower and material resources are needed are solved.

The present disclosure relates to methods, apparatuses, network devices and computer media for resource allocation. The method includes: determining the current priority of each service flow carried in the network slice; for each service flow carried in the network slice, determining the next priority of the service flow according to the current priority of the service flow and the channel quality of the user related to the service flow; and allocating time-frequency resources to each service flow according to the next priority of each service flow carried in the network slice. According to the above technical solution, by simultaneously considering the service flow priority reflecting the needs of the service flow itself and the channel quality of the user related to the service flow, more reasonable resources can be allocated to the service flow, thereby achieving optimal utilization of resources and improving resource utilization efficiency.

The invention discloses storage and treatment equipment for processing rice based on unhulled rice. Comprising a base, a cylinder body, a conical groove, an upper cover, a partition plate, a first through hole, a connecting rod, a positioning hole, a humidity sensor, a second through hole, a main gear, an auxiliary gear, a stirring shaft, stirring blades, a thermocouple, a main shaft, a scraping plate, a discharging groove, a second motor, a screw rod, a feeding pipe, an air inlet pipe, a manual valve, an annular pipeline, a transverse branch pipe, an electronic valve, a vertical branch pipe, an air outlet hole, a protective cover, a display screen and an air vent. A partition management structure is designed, the storage space is divided into a plurality of independent areas through the partition plates, optimal utilization of the storage space is achieved, uniform distribution of temperature is achieved through a built-in stirring structure, meanwhile, each independent area is provided with a temperature detection device, and the temperature detection effect is good. The core temperature of rice storage piles in all areas can be accurately captured and fed back, targeted temperature regulation and control are carried out, and the storage quality stability of rice is guaranteed.

The invention is suitable for the technical field of power transaction management, and provides a power market subject registration multi-dimensional management and control system, and the system comprises a data obtaining module which obtains the data of a power generation enterprise and a power grid enterprise, obtains the power generation amount through the data of the power generation enterprise and the power grid enterprise, and obtains the power consumption condition of a registered power user; the time domain module is used for acquiring historical data, acquiring a time domain, acquiring a time domain extreme value, comparing the extreme value with real-time power utilization and power transmission data, and optimizing a power transmission and power supply mode according to a comparison result; the abnormal module is used for acquiring real-time power consumption and power transmission data and judging a fault reason according to historical data; and the regional chain module obtains transaction and operation data of the power market and updates a contract, power consumption and power transmission quantity in real time, thereby solving the problems that dynamic scheduling cannot be performed in combination with real-time data, fine management of power resources cannot be realized, abnormity cannot be found through real-time data comparison, problems cannot be found in advance, and measures cannot be taken. And the problems of market fluctuation and equipment failure risk are reduced.

The invention discloses a ginger stem and leaf disease and insect pest recognition optimization method based on image recognition, particularly relates to the technical field of image data processing, and is used for solving the problem that the long-term recognition accuracy is reduced due to the fact that an existing fixed model cannot adapt to slow drifting of field features. According to the method, the feature drift degree is quantified by monitoring the topological structure stability of a model feature space, and whether the model needs to be updated is judged accordingly; when updating is needed, a core feature area causing model confusion is positioned based on historical misjudgment data, new samples are directionally collected in a corresponding field area, and then model parameters are optimized; therefore, prospective evaluation and precise updating of the cognitive state of the model are realized, and long-term stability and high efficiency of the recognition system in a dynamic environment are guaranteed.

The invention relates to a method and a system for analyzing and monitoring an engineering safety project by using an intelligent image, and relates to the technical field of image analysis. Determining a plurality of historical engineering classes, an engineering safety project corresponding to each historical engineering class and a dependency coefficient between any two engineering safety projects, and determining similar historical engineering classes of the current engineering; determining engineering safety projects of a plurality of construction nodes of the current engineering based on the engineering safety projects corresponding to the similar historical engineering classes and the dependency coefficient between any two engineering safety projects, and further determining image acquisition schemes of the plurality of construction nodes corresponding to the current engineering; the construction site images acquired by the plurality of image acquisition devices are analyzed based on the engineering safety projects of the plurality of construction nodes of the current engineering, the safety prompt information is generated, and the method has the advantages of improving the real-time performance, the accuracy and the comprehensiveness of the monitoring of the engineering safety projects.

The invention relates to a signal generation method and system based on a multi-core DSP, electronic equipment and a storage medium, and belongs to the technical field of digital signal processing, one core in the multi-core DSP is designated as a management core, the other cores are processing cores, when an input signal of a current period is received, the management core classifies the input signal received in the current period into a plurality of groups and sends the groups to the processing core; through cyclically traversing each group, allocating an idle processing core to each non-empty group, and setting the state of the corresponding processing core to be occupied; when the processing core finishes processing the allocated grouping signal, the management core is notified by sending EDMA interrupt; and the management core pauses traversal, sets the state of the corresponding processing core to be idle, and returns to continue traversal until the processing of the input signal in the current period is completed. The problem that performance is reduced due to the fact that multi-core DSP processing resources cannot be fully utilized in the prior art is solved.

The invention provides a multi-dimensional force decoupling method and system, a storage medium and a computer program product, and the method comprises the steps: obtaining at least one sensing feature which is used for representing the deformation of a contact surface; at least one sensing feature is input into a decoupling model to output each force component of the multi-dimensional force, a total loss function of the decoupling model is configured as a combination of a plurality of sub-losses, and each sub-loss corresponds to a prediction error of one force component. The invention provides a scheme for improving the accuracy of multi-dimensional force decoupling.

A method for catalytically producing hydrogen from hydrocarbon raw materials and enriching CO2, wherein petroleum hydrocarbons are fed into a fluidized reactor, contacted with a catalyst containing a metal oxide to undergo a carbon-hydrogen bond decomposition reaction to generate hydrogen, and the reaction oil gas and the carbon-bearing catalyst obtained by the reaction are separated; the reaction oil gas is further separated into products containing hydrogen, CO, CO2, methane and other hydrocarbons; the carbon-bearing catalyst is first fed to a gasifier, contacted with water vapor for a high-temperature gasification reaction to generate hydrogen and carbon dioxide; the deactivated catalyst with a small amount of coke after gasification is fed to a regenerator to contact with water vapor and an oxygen-containing gas for a high-temperature gasification and carbonization reaction to be regenerated, the regenerated catalyst with the carbon burned off is returned to the fluidized reactor for recycling, and the regenerated flue gas is separated to obtain products containing hydrogen, CO and CO2. The present invention converts low-value hydrocarbon raw materials into hydrogen, realizes the high-value utilization of petroleum resources, and simultaneously realizes CO2 enrichment in the gasification and regeneration process, which is beneficial to carbon recovery and capture.

This invention provides a method and system for controlling railway regenerative braking energy and new energy access based on maximum demand optimization. The method includes: monitoring the real-time power output from the grid on the high-voltage side of the traction substation and the power output from the traction bus on the low-voltage side, and calculating the average power output within a preset rolling time window; determining historical load data, regenerative braking energy data, and configuration parameters of the energy storage system for the traction substation; determining a discharge power threshold based on a preset maximum demand reduction value; comparing the average power output with the discharge power threshold; determining a discharge control command when the average power output reaches or exceeds the discharge power threshold; and executing the discharge control command to control the energy storage system to release the stored regenerative braking energy and / or the accessed new energy power. This invention enables efficient synergistic utilization of regenerative braking energy and new energy sources, significantly reducing railway operating electricity costs while improving system reliability.

The invention relates to the technical field of energy scheduling, and discloses an electric drive heat source optimization scheduling method based on building thermal inertia, comprising: constructing a thermal load demand prediction model and a cost benefit analysis model; predicting initial heat energy required by the building at the current moment based on the heat load demand prediction model; utilizing a machine learning algorithm to predict and evaluate the thermal inertia of the current building, and optimizing and adjusting the initial heat energy; and evaluating the cost of meeting the required heat energy after adjustment in different electricity price periods, and dynamically adjusting the scheduling strategy of the electric drive heat source in combination with an evaluation result. Real-time climate data, building thermal inertia data and electricity price data can be collected and analyzed, advanced algorithms and models are used for predicting energy demands, optimizing energy distribution strategies and achieving optimal utilization of energy, in this way, the energy utilization efficiency can be improved, the energy consumption cost can be reduced, and the energy utilization efficiency can be improved. Greenhouse gas emission can be reduced, and contribution is made to environmental protection.

The utility model discloses a synthesis gas production system. Comprising a gasification furnace, a gas-liquid mixer, a cyclone separator, a water washing tower, a black water filter, a slag breaking machine, a lock hopper, a slag pool, a high-temperature hot water storage tank, an evaporation hot water tower, a deaerator, an ash water treatment device, a low-pressure flash tank, a vacuum flash tank, a vacuum flash condenser and a vacuum separation tank, the cyclone separator and the water washing tower are connected with the evaporation hot water tower, the deaerator, the evaporation hot water tower and the high-temperature hot water storage tank are sequentially connected, the gasification furnace, the slag breaking machine, the lock hopper and the slag pool are sequentially connected, and the ash water treatment device is connected with the evaporation hot water tower; the slag pool is connected with the vacuum flash tank, the vacuum flash tank is connected with the gas-liquid mixer, the evaporation hot water tower, the low-pressure flash tank, the vacuum flash tank, the vacuum flash condenser and the vacuum separation tank are sequentially connected, the low-pressure flash tank is connected with the deaerator, and the deaerator and the vacuum separation tank are connected with the ash water treatment device.

The invention discloses a preheating control method and device of a vehicle, electronic equipment and a storage medium, and relates to the technical field of vehicle control, and the preheating control method comprises the steps that the preheating duration of the vehicle is acquired, and the awakening time of the vehicle is determined according to the preheating duration and the received reserved departure time; after the vehicle is awakened within the awakening time, target information of the vehicle is obtained; when the vehicle is not connected with the external charging equipment, if it is determined that the vehicle meets the preheating condition according to the target information, the vehicle is controlled to be preheated; and after the vehicle reaches the preheating stopping condition, the vehicle is controlled to stop preheating. According to the control method, the preheating of the power battery of the vehicle can be triggered autonomously and accurately based on the user travel plan, so that the optimal utilization of energy is realized on the premise of ensuring the preheating effect.

The invention discloses a special job electronic ticket configurable management method and system based on digital analysis, and the method comprises the steps: building a shared task library and a standard template, executing a general configuration operation, carrying out the risk prediction of a special job according to the priority order of a task item list, and determining a general task item; sequentially adding different general task items into all associated special job electronic tickets in batches to obtain a plurality of intermediate tickets; the method comprises the steps of calculating the comprehensive association degree of intermediate tickets, determining a parallel configuration task set and a linkage configuration task set comprising mother tickets and sub-tickets, executing personalized configuration operation comprising parallel configuration of the parallel configuration task set and linkage configuration of the mother tickets and the sub-tickets of the linkage configuration task set, and generating a plurality of to-be-approved target special job electronic tickets. According to the invention, electronic ticket configuration can be carried out from different angles of the task association ticket and the ticket linkage task, the configuration rationality is improved, and the operation efficiency and the resource utilization rate are improved.

The application discloses a multi-source heterogeneous data correlation retrieval method and system based on a unified identifier, a terminal and a medium, and relates to the technical field of information retrieval.The technical solution points are as follows: the application uses a unique identifier to perform strong correlation mapping between all scattered and heterogeneous physical storage and logical indexes at a logical level, and constructs a unified data view centered on an entity, so that data originally stored in object files, metadata tables, structured records, relationship graphs and retrieval indexes can be stably and accurately correlated and traced.Especially, the two-stage retrieval mode of keyword preliminary screening and graph expansion first efficiently locates a target through a retrieval engine, and then uses graph mining to find the correlation network.The application effectively solves the disadvantage that the existing retrieval scheme cannot perform correlation resource expansion, upgrades data query from single finding to network discovery, and improves the data correlation discovery rate and query completeness in a complex business scenario.

The invention discloses an ERP system data synchronization processing batch optimization adjustment method, device and equipment and a storage medium, and the method comprises the steps: monitoring a network performance parameter, a system load parameter and a data complexity parameter of an ERP system in a current processing period, and carrying out the optimization adjustment of the ERP system data synchronization processing batch based on the network performance parameter, the system load parameter and the data complexity parameter; and calculating to obtain a batch adjustment network factor, a batch adjustment load factor and a batch adjustment complexity factor, and optimizing the reference batch amount of the current processing period through the batch adjustment network factor, the batch adjustment load factor and the batch adjustment complexity factor to obtain the data synchronization processing batch amount of the current processing period. Therefore, by monitoring the network, the system load and the data complexity parameter in real time, calculating the corresponding adjustment factor optimization batch quantity and dynamically adapting the operation state, the fixed batch stiffness is avoided, the data synchronization efficiency is improved, and the system overload is avoided, so that the optimal utilization of resources is realized.