33results about How to "Improve governance efficiency" patented technology

The invention relates to the field of soil remediation, in particular to a soil crushing, dosing and mixing device for soil remediation. According to the soil conditioner, soil and a chemical conditioner can be more sufficiently and uniformly mixed, the concentration of heavy metal ions in the soil is more effectively reduced, and therefore the treatment efficiency of the soil is more effectively improved. The invention discloses a soil crushing, dosing and mixing device for soil treatment. The device comprises supporting legs, a working box, a feeding hopper and the like, a working box is fixedly connected between the tops of the two supporting legs, and the top of the working box communicates with a feeding hopper. According to the device, the extrusion frame rotates and reciprocates up and down to extrude, crush and disperse soil, so that small-particle soil enters the working box along the extrusion frame, and a chemical modifier sprayed by a plurality of spraying nozzles of a pesticide spraying pipe is in uniform contact with the dispersed soil, so that the concentration of heavy metal ions in the soil is reduced; the soil treatment efficiency is improved.

The utility model belongs to the technical field of roadway dust removal, and relates to an air flow purification device of a fully-mechanized face air return crossheading, which comprises a frame type component, a lifting component, a lower rotating component, an upper rotating component and a spraying component, the frame type component is used for allowing an operation vehicle to pass through, and the lifting components are arranged on the two sides of the frame type component and used for achieving lifting of an upper structure in the frame type component; a spraying component is arranged in the middle of the upper structure of the frame type component and used for treating dust in an area where a vehicle passes through. The rotating lower part is hinged with one side of the lower structure of the frame type part, and the spraying part is arranged at the upper part of the rotating lower part; the rotating upper part is hinged to the side, close to the rotating lower part, of the upper structure in the frame type part, and a dust catching net is arranged between the rotating upper part and the frame type part. Sufficient passing space is provided for vehicles, obstruction of a traditional dust catching net to traffic is avoided, different roadway heights and environment conditions can be flexibly adapted, and the stability of the treatment effect is ensured.

The utility model discloses a VOCs organic waste gas treatment device which comprises a carbon box, clamping seats are fixedly connected to the two sides of the inner side face of the carbon box, activated carbon adsorption plates are clamped in the clamping seats, and a conveying pipe is fixedly connected to the bottom of the inner side face of the carbon box. According to the VOCs organic waste gas treatment device, an activated carbon adsorption plate, a fresh air heat exchanger, a fan and a combustion furnace are arranged, the activated carbon adsorption plate adsorbs organic components in waste gas into micropores of activated carbon for concentration, filtered clean gas reaches the standard and is discharged, and fresh air is heated to a preset value through the fresh air heat exchanger and then enters a carbon box through a second air inlet pipe; organic waste gas subjected to desorption treatment is purged, meanwhile, VOCs organic waste gas is conveyed into a combustion furnace through a gas collecting pipe and a gas collecting hood through a draught fan, the VOCs organic waste gas is decomposed into carbon dioxide and water vapor after being subjected to catalytic combustion, and finally the VOCs organic waste gas is conveyed to a fresh air heat exchanger through a connecting pipe to be discharged after being subjected to heat exchange and cooling and reaching the standard, so that an activated carbon adsorption plate can be recycled; and the use cost is reduced.

This invention proposes an experimental system and method for monitoring the flow field and gas migration in the goaf of a coal mine working face. The experimental system includes a goaf model of the coal mine working face, a flow field control device, a gas extraction control device, a gas flow field monitoring device, and a control system. The flow field control device includes a fan for introducing fresh airflow and coloring units for coloring the fresh airflow and the gas in the goaf, respectively. The goaf buried pipe, coal seam extraction pipe, and high-level borehole extraction pipe of the gas extraction control device are connected to three sets of extraction devices. The gas flow field monitoring device includes gas concentration monitors and flow meters installed on each buried pipe and extraction pipe, as well as gas concentration sensors and wind speed sensors buried inside the goaf, for recording flow field data. This invention is a comprehensive experimental system integrating three-dimensional fracture field of the goaf, real-time monitoring of multiple parameters, and visualization of gas migration, presenting the entire process of gas migration in the goaf in a physical form through visualization and full-area monitoring.

This utility model relates to the field of environmental governance equipment technology, and discloses an unmanned surface vessel integrating garbage collection and chemical dosing. It includes a buoyancy chamber, a battery box fixedly connected to the middle of the buoyancy chamber, a cover installed on the top of the battery box, and a fixing frame fixedly connected to the top of the cover. A retrieval component is installed at the front end of the buoyancy chamber, a drive mechanism is installed at the rear end, and a chemical dosing component is installed on the top of the buoyancy chamber. The retrieval component includes a retrieval net frame installed inside the buoyancy chamber, with two slots on the inside and two fixing blocks fixedly connected to one side of the retrieval net frame. In this utility model, by assembling a collection net with switchable mesh size into the retrieval component, efficient collection of surface garbage is achieved. It is also equipped with two chemical storage systems, a first chemical tank and a second chemical tank, and combined with a second water pump and a dosing pipe, precise chemical dosing is achieved.

The utility model relates to the technical field of dosing devices, and discloses a dosing device for sludge dewatering treatment, which comprises a shell, a motor I is fixedly connected to the left end of the shell, a stirring component is arranged at the driving end of the motor I and used for stirring drugs, and a motor II is fixedly connected to the inner wall of the shell and used for driving the motor II to rotate. The driving end of the second motor is connected with an adding frame through a movable assembly so as to drive the adding frame to move left and right repeatedly, the left side of the inner wall of the shell is fixedly connected with a feeding port, the inner wall of the shell is fixedly connected with an electromagnetic valve, and the outer wall of the adding frame is slidably connected to the inner wall of the shell. According to the sludge treatment device, the motor II is started to drive the connecting rod to rotate left and right and drive the adding frame to move left and right repeatedly, so that drugs are added to different positions of the treatment device, the drugs are uniformly distributed in the treatment device, sludge and the drugs are fully reacted, the situation that the sludge dewatering effect is poor is avoided, and the situation that an expected treatment target cannot be achieved is avoided; the treatment efficiency is improved.

The invention provides an e-commerce commodity category adaptive recognition and semantic evaluation method, which comprises the following steps of: extracting path hops and associated edge semantic type labels between target commodities from a commodity relation graph, and extracting all shortest path sets through graph traversal to obtain a hop distance between the commodities and an edge type combination; performing multi-layer information propagation on the hop count distance between the commodities by adopting a multi-layer graph convolutional neural network through the information transmission loss value, and determining a commodity semantic embedding vector after propagation of each layer; according to the propagated commodity semantic embedding vector of each layer, the vector distance between commodity semantic embedding is extracted, the similarity is evaluated, and the optimized information propagation aggregation layer number is obtained based on the similarity convergence trend; and evaluating the coincidence degree of the commodity category inference result and the actual commodity category attribution, and identifying the category inference deviation to obtain the correction direction of the self-adaptive identification of the e-commerce commodity category.

The application relates to the technical field of soil pollution treatment, and discloses soil pollution control and treatment equipment for piling engineering, which comprises a vehicle body, and a hydraulic cylinder fixed end is hingedly installed on the vehicle body. The soil pollution control and treatment equipment for piling engineering is provided with a treatment assembly, an asynchronous motor and a threaded rod, so that the moving frame can move axially; the asynchronous motor, a rotating shaft and a transmission part are used to make the drill rod rotate in the bracket to drill and pile; a medicine bucket, a water pump, an elbow and a stop electromagnetic valve are used to make the medicine enter the inside of the drill rod through a hose, the elbow, a cavity and a through hole, and then sprayed into the soil at the drilling point through the small-head-end opening of the conical cover, so that the pollutants in the soil can be degraded, converted and absorbed; the soil pollution control and treatment can be better carried out in the piling process; the rotating rod, the rotating drum and the self weight of the medicine are used to make the medicine bucket driven by the rectangular plate always keep in a vertical state, so that the medicine is prevented from leaking.

The present application relates to a weakly supervised sample pre-labeling and difficult example mining optimization method based on computer vision, obtains record carrier image data containing target marking area, and extracts candidate to-be-labeled areas from the record carrier image data; generate candidate pre-labeling results based on weakly supervised information, and extract corresponding support judgment information and negative judgment information; according to the preset judgment rule, the candidate pre-labeling result is verified; when the support judgment information meets the preset support condition and the negative judgment information does not meet the preset exclusion condition, the corresponding candidate pre-labeling result is determined as the weakly supervised pre-labeling result; when the support judgment information and the negative judgment information meet the preset conflict condition, the corresponding candidate to-be-labeled area is determined as a difficult example sample and stored in a difficult example sample set. Relying on weakly supervised information to generate pre-labeling results, combining multi-dimensional judgment verification screening results and mining difficult examples can improve labeling quality and model training effect.

The invention discloses a karst cave treatment method in tunnel construction, and relates to the field of tunnel construction. According to the method, by means of a multi-source fusion three-dimensional detection technology and a CNN risk grading means, a four-dimensional database is constructed, and a risk grade is judged; grouting process parameters are output based on the seven-dimensional knowledge graph, and scene gradient adaptive grouting treatment is carried out; intelligent regulation and control, visual linkage and full-chain closed-loop quality control are combined, the goals of accurate detection, efficient treatment and safety guarantee of the karst cave are achieved, and the construction efficiency and the engineering quality are remarkably improved.

This invention relates to the field of coal mining technology, specifically to a method for large-area gas control. The method comprises the following steps: delineating the boundary of the large-area gas control zone; using a TBM (Tube Milling Machine) to excavate a boundary roadway starting from the center of the boundary of the large-area gas control zone; excavating a connecting roadway within the area enclosed by the boundary roadway; drilling a through borehole within the coal seam area enclosed by the connecting roadway and the boundary roadway; and using fracturing and extraction technology to extract gas within the through borehole. Utilizing the rapid roadway construction advantage of the TBM, long-distance, high-efficiency rock breaking operations can be achieved, improving the mechanization and intelligence level of the working face. Following drilling and gas extraction, compared to traditional mechanized mining and blasting, this method significantly reduces disturbance to the surrounding rock, lowers the probability of coal and gas outbursts, effectively improves gas control efficiency, and enables safe and efficient mining of deep coal resources, effectively solving the corresponding technical problems existing in the prior art.

The application provides a big data driven power distribution network line loss intelligent prediction system, equipment and medium, relates to line loss prediction technical field, and the system includes: data lake construction module, integrates the distribution network from the distribution network topology data, measurement system data, environmental data and equipment account data, constructs unified data lake; knowledge graph construction module, based on unified data lake, through graph calculation, the family relationship of distribution network is analyzed, and the dynamic family genetic knowledge graph is constructed; line loss analysis module, receiving multi-source monitoring data, based on dynamic family genetic knowledge graph, line loss analysis is carried out; fusion positioning module, according to the operation analysis result of theoretical line loss calculation analysis, abnormal detection diagnosis analysis, fusion positioning is carried out, and line loss prediction positioning information is fed back. Through the application, the technical problem that the line loss prediction accuracy is low in the prior art can be solved, and the technical effect that line loss anomaly can be accurately identified is achieved.

The invention belongs to the technical field of regional power grid electric energy quality management, and discloses an offshore wind plant station harmonic resonance suppression method, system and device and a medium, and the method comprises the steps: calling the residual capacity of an offshore wind power access node, carrying out the primary harmonic compensation based on the residual capacity, and carrying out the primary evaluation of a regional power grid after the primary harmonic compensation; if the initial evaluation does not meet the preset suppression requirement, establishing a collaborative suppression mechanism by combining an active filter, performing secondary harmonic compensation by applying the collaborative suppression mechanism, and performing secondary evaluation on the regional power grid after the secondary harmonic compensation; and if the secondary evaluation result still does not meet the preset suppression requirement, performing iterative optimization on the parameter configuration of the active filter and the utilization configuration of the residual capacity by using an improved particle swarm optimization algorithm to obtain an optimal configuration scheme. According to the invention, through cooperative utilization of the residual capacity of the wind power, the number of active filters is reduced, the treatment cost is reduced, and the wind power compensation economy is optimized.

This invention discloses a collaborative management system and method for river cyanobacteria based on AI-based early warning and targeted drug delivery. The system comprises an intelligent sensing and early warning layer, a central decision-making and control layer, and a precise targeted execution layer. The intelligent sensing and early warning layer collects environmental data of the target river through an air-ground-water three-dimensional monitoring network and uses an AI prediction model to provide early warning of cyanobacteria outbreak risks. The central decision-making and control layer receives the risk warnings and, in conjunction with algae spatial distribution, hydrological conditions, and weather forecasts, generates management strategies and control instructions based on a preset rule base and optimization algorithms. The precise targeted execution layer includes at least one unmanned targeted drug delivery vessel that receives the control instructions and executes drug delivery to complete the river cyanobacteria control. This invention achieves a shift from passive response to active intervention and from extensive management to precise control, offering advantages such as high efficiency, environmental friendliness, and long-term effectiveness.

The utility model relates to the technical field of VOCs treatment, and discloses a movable VOCs treatment machine which comprises a vehicle body, the front side surface of the vehicle body is fixedly connected with a storage box, the upper surface of the vehicle body is fixedly connected with a hose communicated with the interior of the vehicle body, and the end, away from the vehicle body, of the hose is fixedly provided with an air suction hood. A lifting plate is slidably connected to the interior of the storage box, a supporting shaft is rotatably connected to the upper surface of the lifting plate, a connecting piece is arranged between the supporting shaft and the air suction cover, and swing of the air suction cover is achieved through cooperation of the supporting shaft, a rotating shaft, a gear, a toothed plate, a reciprocating lead screw, a reciprocating lead screw sleeve, a first motor and other structures; therefore, a larger area can be covered, dead angles caused by dispersion of pollution sources are reduced, VOCs gas can be more comprehensively collected, the treatment efficiency is improved, and the effective coverage range is remarkably expanded.

This application relates to a multi-level adaptive control method, apparatus, device, and storage medium for power quality, belonging to the field of power grid service technology. The method includes: determining the disturbance condition type of the power grid based on target indicator data; selecting a first control strategy from a control strategy template based on the disturbance condition type; updating the strategy parameters of the first control strategy based on the target indicator data and the disturbance condition type to obtain a second control strategy; and managing power quality of the power grid according to the second control strategy. This application effectively improves the efficiency and effectiveness of power grid power quality management, while relying on data-driven strategy selection and parameter optimization to reduce the blindness of management and ensure the scientific nature and effectiveness of power grid power quality management.

The invention belongs to the technical field of environmental protection, and particularly relates to an intelligent cooperative control method and system for multi-area environmental protection management of a coal power plant area, and the method comprises the following steps: S1, collecting monitoring data of multiple areas in a plant and outside the plant, and transmitting the monitoring data to a control unit; s2, adjusting a preset threshold value based on the seasonal characteristic parameters; s3, comparing the data with a threshold value to judge abnormity, if the data is normal, performing classified storage and returning monitoring, and if the data is abnormal, entering S4; s4, judging whether the normal regulation range is exceeded or not according to the abnormal region and type, if not, autonomously controlling equipment, and if so, manually intervening and entering S5; s5, an abnormal warning is sent to an operation and maintenance terminal, and manual intervention is carried out; s6, adjusting the feedback frequency, judging whether the abnormity is eliminated or not, if yes, recovering storage, and otherwise, returning to S5; and S7, classifying and storing abnormal data and processing flows, repeating the steps S1-S6, and improving the treatment precision and efficiency by realizing cooperative monitoring, dynamic threshold adjustment and abnormal closed-loop processing of multiple areas in a plant and outside the plant, so as to adapt to a coal power plant scene.

The utility model provides a movable dust control spraying device which comprises a liquid storage box and a spraying assembly, the upper surface of the liquid storage box is fixedly connected with an air pump and a fixed cylinder respectively, the upper surface of the fixed cylinder is fixedly connected with a flow dividing box, the air outlet end of the air pump is communicated with an inner cavity of the fixed cylinder, and the bottom of an inner cavity of the liquid storage box is fixedly connected with a liquid pump. The liquid pump is communicated with an inner cavity of the flow dividing box through a liquid conveying pipe, the spraying assemblies are symmetrically connected to the outer side face of the flow dividing box, the electric rods are symmetrically connected to the lower surface of the flow dividing box, telescopic rods of the electric rods are fixedly connected with extension pipes in the spraying assemblies through push plates, and each spraying assembly is composed of a guide pipe, an extension pipe, a reinforcing cylinder and a flow dividing ring. One end of the guide pipe is fixedly connected to the outer side of the shunting box. Through cooperation of the shunting box, the fixing cylinder, the air pump, the electric rod and the spraying assembly, the device can spray water mist at multiple angles, the water mist diffusion distance can be increased, the coverage range of the water mist can be enhanced in an auxiliary mode, and therefore the flying dust treatment effect is enhanced.

The invention relates to the technical field of materials, and discloses a polysulfone ether porous membrane as well as a preparation method and application thereof. The polysulfone ether porous membrane comprises a first polymer layer and a second polymer layer which are overlapped with each other, the average pore size of the first polymer layer is 55-245nm, and the porosity is 18-30%; the average pore size of the second polymer layer is 10-18 microns, and the porosity of the second polymer layer is 70%-85%; wherein the surface porosity of the polysulfone ether porous membrane is greater than or equal to 28%. The polysulfone ether porous membrane provided by the invention has an asymmetric structure, and the polysulfone ether porous membrane has an open bicontinuous structure surface, has excellent high surface porosity characteristics and high CH4 permeation rate characteristics, has relatively high permeability and selectivity to VOCs, and can be used for preparing a porous membrane for the VOCs. The composite film formed by using the composite film as a porous support layer has high separation efficiency and selectivity, can effectively adsorb and remove harmful gases such as VOCs and the like, and improves the treatment efficiency.

The invention discloses a high-temporal-spatial-resolution atmospheric particulate matter source analysis method based on observation constraint. The method comprises the following steps: simulating set time, and setting regional particulate matter PM2.5 and concentration of each component thereof; assimilating the observed PM2.5 and component concentration data of the PM2.5 in the set time and the set region and the PM2.5 and component concentration data of the PM2.5 obtained through CMAQ simulation; performing source analysis based on the assimilated data; and constructing a machine learning model by taking the source contribution of the source analysis as a dependent variable and taking the meteorological data, the geographic and social economic data and the road traffic data in each grid of the set time and the set region as independent variables, and simulating the source contribution concentration of different sources through the constructed model in a scale reduction manner. By adopting the method provided by the invention, an accurate source analysis result with high temporal-spatial resolution can be obtained, so that a scientific basis is provided for accurately formulating an atmospheric pollution prevention and control policy, a treatment strategy is optimized, the treatment cost is reduced, and the treatment efficiency is improved.

The present application relates to the technical field of goaf treatment, and particularly relates to a coal mine goaf treatment system and method. The technical scheme comprises a roadway mold and a U-shaped steel plate for supporting the inner wall of the roadway, the roadway mold is provided with a connecting device for the U-shaped steel plate, one side of the roadway mold is provided in an open manner, and an arc-shaped discharging groove is formed in the top of the roadway mold. The present application can uniformly distribute the slurry, increase the grouting pressure by extruding the slurry, increase the slurry diffusion range, improve the grouting reinforcement effect, effectively eliminate the bubbles in the grouting slurry by extruding the slurry, improve the compactness of the grouting, realize the automatic pouring of the concrete roadway and the support of the concrete roadway, integrate the concrete roadway pouring, grouting reinforcement and support, greatly improve the efficiency of the concrete roadway pouring and the support efficiency, improve the goaf treatment efficiency, and do not need manual operation and support erection for the roadway, and the degree of automation is high.

The present application relates to the technical field of speech swallowing word intelligent diagnosis and parameter self-optimization, in particular to a speech swallowing word intelligent diagnosis and parameter self-optimization method, system, device and medium. It comprises: acquiring multi-source heterogeneous data of a target cell and associated adjacent cells; performing feature extraction based on the multi-source heterogeneous data to construct a multi-dimensional feature vector; inputting the multi-dimensional feature vector into a diagnosis engine to determine the main root cause type leading to intermittent speech swallowing words through a serial priority decision mechanism; matching the corresponding target parameter combination from a pre-set parameter recommendation library according to the type of the main root cause; issuing the target parameter combination to the target base station and monitoring the speech quality evaluation parameters of the target cell within a pre-set monitoring period, and completing closed-loop optimization according to the speech quality evaluation parameter results. It overcomes the defects of lack of multi-factor systematic identification ability in manual troubleshooting; avoids static one-size-fits-all configuration; and effectively prevents problems from recurring.

The utility model relates to water environment treatment technical field, concretely is a kind of nanometer aeration equipment based on pure oxygen, it includes: bottom shell, the front and rear both ends in bottom shell inside are provided with floating shell body, the bottom of bottom shell is equipped with multiple equidistance distribution filter hole;Shell cover is set to the top of bottom shell, the right end of shell cover top is equipped with overhauling groove.The utility model passes through the action of turbine pump body, air cock and ceramic microporous block, so that the equipment has the advantages of oxygen content increasing speed and water environment treatment efficiency, solve the oxygenation equipment of existing generally increasing the contact area of water and air, make the oxygen in air more dissolved in water, to meet the demand of aquatic organism to oxygen, however, the contact area of water and air is lower, and the oxygen content in air is not high, resulting in the oxygen content in water body increases slowly, also make water environment treatment efficiency problem of being not good.

The invention relates to the technical field of pollution traceability, and discloses a multi-scale coupled drainage basin pollution step-by-step traceability method, device and equipment and a medium, and the method comprises the steps: obtaining an initial simulation result of each sub-drainage basin outputted by a target SWAT model; determining a key sub-basin based on the initial simulation result; calling an APEX model to simulate by taking the key simulation result corresponding to the key sub-basin as a boundary condition to obtain an intermediate simulation result of the key sub-basin; performing grid unit division on the sub-region of the intermediate simulation result; determining a grid environment index of each grid unit; taking the initial simulation result and the intermediate simulation result as dependent variables, taking the grid environment index as an independent variable, and constructing a quantitative relationship between the grid environment index and the pollution load capacity; constructing a spatial distribution map based on the quantitative relationship; and tracing the target pollution load capacity of the target grid unit based on the spatial distribution diagram. According to the scheme, step-by-step traceability from the drainage basin to the sub-drainage basin and then to the grid can be realized, the problem of traceability intermediate fault in the prior art is solved, and the traceability accuracy is improved.

The application discloses a long-acting management method for Spartina alterniflora after treatment, and comprises the following steps: recurrence and diffusion investigation, risk assessment and early warning, recurrence treatment, ecological restoration and effect evaluation. The application sets quantitative thresholds for recurrence rate and average coverage, and realizes accurate and quantitative monitoring and early warning by combining unmanned aerial vehicles with ground investigation. The application significantly improves treatment efficiency and durability by strengthening the design of the treatment scheme. The application realizes ecological reconstruction by adopting a zoned ecological restoration strategy according to the functional requirements of different regions. The application constructs a dynamic closed-loop management system of monitoring-early warning-disposal-evaluation, so that the management process can be self-optimized, and truly realizes long-acting, scientific and sustainable ecological treatment.

The invention relates to a data management method and system and a storage medium. The method comprises the steps that an SQL script of multi-source heterogeneous data is optimized through an SQL optimization model, and an optimized SQL script and an optimization description of the optimized SQL script are obtained; repairing metadata in the multi-source heterogeneous data through a metadata compliance model to obtain optimized metadata of the multi-source heterogeneous data; and performing attribution analysis on the abnormal SQL scripts in the SQL scripts through the SQL attribution model to obtain an attribution result of the abnormal SQL scripts, and optimizing the scheme. According to the scheme provided by the invention, automation of data governance can be realized, the data governance efficiency and accuracy are improved, the manual intervention cost of data governance is reduced, and the adaptability of data governance to a complex data environment is enhanced.

The invention discloses an energy industry data intelligent treatment system and method based on AI Agent and MCP, and relates to the technical field of industrial data treatment and artificial intelligence, and the system specifically comprises an AI agent module, a plurality of MCP service modules and a data storage module. Through AI driving, a traditional data governance period taking a month as a unit is shortened to a week or even day level, the labor cost is greatly reduced, high-efficiency and automatic processing is realized, an AI Agent is isolated from a data source through an MCP protocol, a sensitive voucher only exists at an MCP Server end, the data security risk is effectively managed and controlled, high data security is ensured, and the method is suitable for large-scale popularization and application. The decoupling architecture allows the system function to be seamlessly expanded by developing a new MCP Server in the future, core Agent codes do not need to be modified, high expansibility is achieved, and practical application is easy to carry out.

This invention discloses a financial data governance method, apparatus, device, and storage medium. The method includes: acquiring several business data tables stored in at least one functional system database within a target financial institution; integrating the business data tables to obtain a standardized data dictionary; determining at least one target subject domain based on the physical structure information of each business data table in the standardized data dictionary; each target subject domain including at least one business data table associated with itself; determining at least one core entity table corresponding to each target subject domain based on the physical structure information of the business data tables contained in each target subject domain; determining the core table relationships between the core entity tables in each target subject domain, and constructing a panoramic entity relationship diagram of the subject domain based on the core table relationships; and storing the panoramic entity relationship diagram of the subject domain to achieve financial data governance of the target financial institution.

The embodiment of the application provides a virtual resource vulnerability assessment method and device, a storage medium and an electronic device, the method comprises the following steps: obtaining the basic information of the vulnerability of the virtual resource, and performing basic score grading on the virtual resource according to the basic information of the vulnerability, to obtain a basic score; determining the vulnerability time factor score, the vulnerability environment factor score and the virtual asset factor score of the virtual resource according to the basic information of the vulnerability respectively; performing secondary vulnerability grading on the virtual asset according to the basic score, the vulnerability time factor score, the vulnerability environment factor score and the virtual asset factor score, to obtain a secondary grading result; and generating a vulnerability assessment result of the virtual resource according to the secondary grading result, which can solve the problem that the CVSS vulnerability score cannot objectively reflect the influence of the vulnerability on the real environment in the related art, and through the secondary vulnerability grading on the basic score, the final vulnerability assessment result is obtained, the risk of open source software supply chain attack is alleviated, and the efficiency of open source governance is improved.

The invention discloses an Internet of Vehicles data new energy automatic driving vehicle traffic behavior supervision and service system, which comprises a data acquisition layer, a network transmission layer, a data processing and analysis layer and an application service layer, and adopts an end-edge-cloud collaborative architecture. The data acquisition layer comprehensively acquires multi-source data of vehicles, roads, traffic and the like; the network transmission layer ensures safe transmission of data through various communication technologies and encryption means; the data processing and analysis layer realizes data intelligent analysis by means of edge computing and a cloud platform in combination with an AI algorithm model; and the application service layer provides differentiated services for governments, enterprises and users. According to the method, data islands are broken, the transformation from post-event tracing to beforehand early warning and in-event intervention of a supervision mode is realized, the driving behavior analysis scientificity, the safety early warning perspectiveness and the carbon emission management accuracy are improved, the government is helped to improve the treatment efficiency, the enterprise is helped to reduce the cost and improve the efficiency, the user is helped to improve the travel experience, and the method has remarkable technical, social and economic values.