17results about How to "Ensure systemic" patented technology

The invention discloses a power grid enterprise emergency plan system assessment method and system, a medium and equipment, and belongs to the technical field of emergency plan system assessment, and the power grid enterprise emergency plan system assessment method comprises the steps: constructing an emergency plan assessment index system; key risk indexes are identified through a fuzzy Delphi method; carrying out dynamic weight distribution on the key risk indexes based on a Bayesian best worst method; a fuzzy comprehensive evaluation method is combined with the maximum membership degree principle, and comprehensive evaluation is carried out on the emergency plan system; constructing a comprehensive risk early warning model, and calculating an early warning value of each index and an overall early warning level; and outputting an evaluation result and an early warning level. According to the method, comprehensiveness, systematicness, feasibility and practicability of emergency plan system evaluation indexes can be ensured, and emergency capability construction of power grid enterprises can be objectively and effectively evaluated.

The invention relates to the technical field of belt conveyors, in particular to a self-adaptive deviation rectifying belt conveyor and a method thereof.The self-adaptive deviation rectifying belt conveyor comprises a rack, a driven roller and a driving roller are rotationally installed at the two ends of the rack correspondingly, and a conveying belt is installed on the driven roller and the driving roller in a common transmission mode; a tail cylinder deviation rectifying device, a fixed upper carrier roller set, a lower carrier roller set and a turning section deviation rectifying device are installed on the machine frame. By integrating the tail barrel deviation rectifying device, the stop roller mechanism and the turning section deviation rectifying device, when the conveying belt deviates, the system can firstly perform preliminary constraint by the stop roller mechanism according to the severity, direction and reason of deviation, and then perform adjustment by the tail barrel deviation rectifying device and the turning section deviation rectifying device so as to correct the deviation; and then the supporting form is optimized through the carrier roller distance adjusting mechanism, the tension change and the deflection amount of the conveying belt are adjusted in real time through multi-dimensional cooperative adjustment, and it is guaranteed that the turning section of the conveying belt runs stably and smoothly for a long time.

The invention relates to the technical field of software engineering, in particular to a code detection method and device, electronic equipment and a storage medium, and aims to improve code detection efficiency and role perceptivity. Comprising the steps of obtaining a to-be-detected code and structured data of the to-be-detected code; the structured data is used for describing the function of the to-be-detected code; based on the task splitting agent and a plurality of preset detection angles, performing task splitting on the changed sub-codes and the structured data in the to-be-detected codes to obtain a plurality of detection sub-tasks corresponding to different detection angles; for any detection angle, executing a detection sub-task corresponding to any detection angle through a detection intelligent agent corresponding to any detection angle to obtain a detection sub-result corresponding to any detection angle; and inputting the plurality of detection sub-results and the information of the target detection role into the security field large model to obtain a target detection result of the target detection role corresponding to the to-be-detected code.

This application relates to the field of data processing technology and discloses an integrated sky-ground geological environment monitoring and assessment method and system. The method includes: integrating sky remote sensing, surface monitoring, and underground exploration data into a monitoring matrix, processing the data to generate a raw database; constructing a spatiotemporal standard field based on the database and fusing it to generate a correlation spectrum; decomposing the correlation spectrum to obtain element feature chains; constructing a coupled dynamic field based on the feature chains and analytically obtaining an evolutionary parameter set; establishing a risk assessment matrix based on the parameter set and analyzing to generate an early warning indicator system; and designing a governance plan by combining the early warning system and historical cases. This application achieves deep integration of space-based remote sensing data, surface monitoring data, and underground exploration data by constructing a unified spatiotemporal standard field, a multi-level feature transfer network, and a dynamic coupling model, thereby improving the accuracy and reliability of geological environment monitoring and assessment.

The present application belongs to the technical field of geological engineering monitoring, and particularly relates to a geological stability monitoring device for salt cavern energy storage, aiming to solve the problems of single monitoring dimension, existing blind area and insufficient sensitivity in identifying creep. The monitoring device is internally provided with a geological stability monitoring system, and the system comprises: a surface multi-source deformation sensing unit, a shaft deep layer strain detection unit, a microseismic global activity monitoring unit and a cavity shape sensing unit, which are used for collecting surface and deep multi-dimensional data; a geomechanics digital twin and evolution analysis unit, which constructs a mechanics model and dynamically inverts real-time data as a constraint boundary; a stability discrimination and risk early warning scheduling unit, which outputs an evaluation report based on the inversion result and triggers an early warning. Through the deep coupling of multi-dimensional full-space perception and mechanics model, the present application effectively reduces the perception blind area and improves the accuracy of salt rock creep risk prediction, thereby providing a technical guarantee for the long-term safe operation of the salt cavern energy storage power station.

This invention relates to the field of multispectral UAV grassland inspection and machine vision deep learning detection and segmentation algorithms. Specifically, it is a method for grassland spot detection and forage reseeding based on UAV multispectral imagery. The method involves a UAV equipped with a multispectral camera to acquire multispectral image data of grassland pastures. Professional remote sensing software is used to analyze and extract information on grassland cover and health status. Multiple deep learning algorithms are combined to detect and segment grassland spot areas, extracting information on bareness, coordinates, and size. Reseeding prescription data is generated based on the analysis results and optimized by considering soil conditions and climate factors. The prescription data is imported into the control terminal of a large agricultural UAV, which carries seeding and fertilization equipment, loading appropriate amounts of seeds and fertilizers for precise reseeding and fertilization. This method can effectively detect grassland spots, implement targeted forage reseeding, and promote the restoration and stability of the grassland ecosystem.

The application discloses a kind of intelligent anti-seismic structure optimization design method and system for high-rise building, it is related to high-rise building anti-seismic design technical field, including taking seismic intensity zoning, site category and fault distribution information, establish the working condition database considering multi-directional ground motion and soil-structure interaction in combination with ground motion time history and site survey parameters;Structure model is constructed in BIM platform and is imported frequency characteristics and load to generate preliminary design;Inter-story drift angle, floor acceleration, plastic rotation and energy dissipation ratio index are set in the model, construct seismic performance comprehensive function, set constraint according to specification limit, convert structure model into optimization problem, realize optimization design by iteratively calling working condition database and automatically correcting key component parameters and damping arrangement.The method described in the application realizes the structure optimization design of high-rise building under multi-directional seismic action by establishing seismic working condition database, parameterized structure modeling and performance function constraint.

The application provides a vertical ampoule bottle making machine multi-station collaborative operation intelligent control method and system, relates to the technical field of ampoule bottle making machines, and comprises the following steps: acquiring a maximum temperature difference value, a pressure difference absolute value and a radial offset distance; constructing a first abnormal combination condition and a second abnormal combination condition; when the first abnormal combination condition and / or the second abnormal combination condition are satisfied, it is determined that the current glass tube blank has an abnormal positioning state at a sealing station, a first compensation value is determined, a first tolerance value is obtained according to the first compensation value and a standard sealing tolerance value; a second compensation value is determined, a second tolerance value is obtained according to the second compensation value and the standard sealing tolerance value; when the next glass tube blank reaches the sealing station, position correctness verification is performed according to the first tolerance value or the second tolerance value. On the premise of guaranteeing the sealing property and geometric precision of ampoule sealing, the comprehensive efficiency of the equipment is significantly improved, and the waste rate is reduced.

The application provides a harmful algal bloom area identification method and device based on remote sensing data, and belongs to the field of marine remote sensing and environmental monitoring. The method comprises the following steps: determining a plurality of sensitive bands of harmful algal blooms; acquiring remote sensing data of a to-be-identified area in each sensitive band; determining an identification interference factor of the to-be-identified area; combining each sensitive band according to the relationship between the identification interference factor and each sensitive band; calculating an identification interference factor index corresponding to each combination; correcting the remote sensing data corresponding to the first sensitive band combination and the second sensitive band combination according to the identification interference factor index; calculating a harmful algal bloom index according to the remote sensing data corresponding to the third sensitive band combination after correction; and judging whether the to-be-identified area is a harmful algal bloom area according to the harmful algal bloom index and a dynamic threshold corresponding to the to-be-identified area. The harmful algal bloom area identification method and device based on remote sensing data provided by the application can realize high-precision and high-stability identification of harmful algal bloom areas.

This invention provides a method and system for lateral limiting control of cable lifting during suspension bridge cable strand erection. It establishes a complete work cycle, from system installation, cable strand pulling, cable lifting operations to cable strand installation and device dismantling, ensuring the systematic nature and repeatability of the construction. Through a communication control component, all winches on the catwalk gantry are synchronously controlled for simultaneous winding and unwinding. This multi-point collaborative mode effectively suppresses the lateral swaying of the cable strands under wind and other disturbances by utilizing continuous lateral constraints. It solves the technical problem in existing technologies where cable strand lifting and saddle insertion relies solely on the winches at both ends of the main tower to suspend the cable strands. As a large-span flexible structure, the increased span of the cable strands significantly reduces their resistance to lateral wind loads, making them prone to large-amplitude, unintended lateral swaying under strong winds, threatening construction safety and even damaging the cable strand structure.

The invention discloses a well selection method and system for ultra-low permeability reservoir water injection well updating, and belongs to the technical field of oilfield development. The well selection method comprises the following steps that a target oil reservoir water injection well updating potential evaluation system is established; obtaining index parameters in the target oil reservoir water injection well update potential evaluation system corresponding to the target oil reservoir water injection well update candidate well, and normalizing the index parameters; and determining a potential comprehensive evaluation index of the updated to-be-selected well of each water injection well of the target oil reservoir, and determining a planned implementation well according to descending order arrangement. The method can solve the problems of low manual well selection efficiency, high individual subjectivity and large result difference at present, and ensures the implementation effect of updating of the water injection well.

The application relates to the technical field of smart campus data governance, in particular to a data governance management system and method based on a smart campus Internet of Things and a medium, the system is oriented to scene requirements, the difference degree of a quantitative feature in a current scene and other scenes is quantified, the fluctuation characteristics of multiple data types are fused, outstanding feature values most characteristic of the current scene are accurately screened out, the feature values are highly adapted to the core target of the scene, a precise and focused target object is provided for subsequent data governance, a governance key demand index of the data type is calculated, the spreading influence of the data on related features and the supporting role of the data on independent features are comprehensively considered, scientific sequencing of the governance priority is realized, the governance resources are inclined to the core data type, the systematization of the governance is ensured, and the precision is also considered, from accurate screening of outstanding features to orderly promotion of data governance, a whole-process optimization scheme for data governance of the smart campus Internet of Things is constructed.

This application relates to the field of robot intelligent control technology, and in particular to a robot collaborative control system. It includes: a decision-making unit for parsing instructions and generating constraint task packages; a central control unit for setting the robot's workflow data according to the constraint task packages; and an alert unit for detecting the robot's working status and executing alert strategies based on the working status. The central control unit includes: a first control module for setting multiple keyframe nodes according to the constraint task packages and dividing the workflow into multiple segments based on the keyframe nodes; a second control module for calculating the movement trajectory of each segment and connecting the various movement trajectories to form a total movement trajectory; a third control module for optimizing the total movement trajectory to obtain vehicle movement data; and a fourth control module for setting the robotic arm motion data based on the keyframe nodes and vehicle movement data. This improves the accuracy, safety, and adaptability of robot collaborative motion in complex working environments.

This application provides a network security risk assessment and analysis system, method, and related equipment. By setting up physical security, network security, and management security modules, it comprehensively collects and monitors data from three core dimensions: the physical environment of the data center, network system operation, and personnel management. This enables real-time perception of data center environmental risks and effectively overcomes the shortcomings of traditional assessment methods that only focus on single or partial security elements, ensuring the comprehensiveness and systematic nature of risk assessment. The risk assessment and analysis module is connected in real-time to the above three modules, continuously receiving and analyzing various types of security data, realizing a shift from static assessment to dynamic monitoring. Through real-time correlation and analysis of comprehensive data, potential security risks can be accurately identified, and warnings can be issued promptly based on preset warning conditions. This overcomes the lagging and passive nature of traditional assessment methods, truly achieving prevention before problems arise and significantly improving security response speed and accuracy.

The invention relates to the technical field of chemical safety training, and particularly discloses a chemical emergency drill trauma simulation and first-aid training system and a chemical emergency drill trauma simulation and first-aid training method. The system comprises a high-simulation trauma simulation person, VR first-aid training equipment, an operation evaluation module and a central control system. A physiological monitoring module and an injury condition simulation assembly are arranged in the simulation person, and the simulation person is used for simulating various compound injury conditions such as chemical burn, poisoning and mechanical trauma and feeding back physiological parameter changes in real time according to first-aid operation of trainees. And the VR equipment constructs a chemical accident scene and provides operation guidance. And the operation evaluation module performs intelligent judgment by comparing motion capture with standard operation and combining physiological parameters. The method comprises the steps of theoretical learning, scene entry, practical operation feedback, evaluation guidance and report generation. According to the invention, high-simulation simulation, virtual-real fusion immersive training and real-time dynamic intelligent evaluation of special chemical injury conditions are realized, and the first-aid operation accuracy and accident handling capacity of students are remarkably improved.

The application relates to a TBM tunnel deep-buried central water ditch synchronous construction method and equipment, temporary support trusses are erected behind the TBM, inverted arch precast blocks are laid behind the temporary support trusses, and a tunnel base without inverted arch covering is reserved between the temporary support trusses and the inverted arch precast blocks; waterproof operation racks and lining trolleys are arranged on the top of the inverted arch precast blocks, waterproof plates, steel bars and secondary lining construction are carried out; meanwhile, a simple inverted arch trestle is arranged at the tunnel base without inverted arch covering, a deep-buried central water ditch is drilled and excavated below the simple inverted arch trestle, and a pipe section is hoisted into the deep-buried central water ditch; inverted arch precast blocks are continuously laid on the top of the deep-buried central water ditch; the temporary support trusses are removed, the simple inverted arch trestle is moved to the next cycle of the temporary support trusses and the newly laid inverted arch precast blocks, and the next cycle of construction is continued. Through process reorganization and space reconstruction, the application forms reasonable space occupation and interface closed loop, and directly solves the problem that the deep-buried central water ditch cannot be constructed synchronously with the TBM tunneling.

The invention relates to a method and device for debugging air volume balance of a pellet solid-solid heat exchange dust removal system, and belongs to the technical field of industrial ventilation and dust removal. S2, measuring the air volume of a reference tuyere; s3, the resistance of the main guide pipeline is adjusted; s4, performing equal-ratio imbalance correction on the branch pipelines; and S5, iterative fine tuning and verification are carried out. According to the method, calibration of the leading pipeline and the equal-ratio imbalance algorithm are organically combined, a complete, efficient and accurate air volume balance debugging solution is formed, and many defects in the prior art are effectively overcome.