15881 results about "Tower" patented technology

The invention discloses a wind power bolt state detection method and system, and belongs to the technical field of mechanical structure testing and health monitoring, and the method comprises the steps: obtaining the real-time strain data of each monitoring point; acquiring operation condition data of the unit in real time; dynamically generating a finite element model of the tower drum structure according to the operation condition data; the finite element model and the real-time strain data are combined to generate a stress distribution map of the whole tower cylinder bolts; inputting the stress distribution atlas into a preset fatigue damage model, calculating a bolt life attenuation rate and positioning an external load abnormal source; and when it is detected that the life attenuation rate exceeds a preset threshold value, generating a grading early warning signal and outputting a maintenance strategy according to a positioning result. According to the method, a wireless strain sensor network, dynamic finite element model correction and multi-dimensional fatigue damage analysis technology are adopted, a whole tower barrel stress distribution map is generated in real time, external working condition data are associated, the bolt service life attenuation rate can be accurately evaluated, a load abnormal source can be positioned, and a graded maintenance strategy can be output.

The invention discloses a mixed tower structure full-life damage intelligent sensing array early warning system, which relates to the field of mixed tower structure detection and comprises a multi-modal data collection module, an array topology optimization module, a self-adaptive signal processing module, a digital twin life prediction module, a grading early warning module and a visualization system. The multi-modal data collection module comprises a multi-modal sensor array, a self-powered module and a wireless transmission module. According to the invention, a full-scale sensing network is constructed, full-dimension damage perception from distributed monitoring to sudden damage capture and structural modal analysis is realized, wavelet transform and blind source separation are combined to eliminate environmental noise interference, a damage characteristic ultrasonic attenuation coefficient, an acoustic emission energy spectrum peak value, optical fiber strain gradient anomaly and vibration modal frequency deviation are extracted, and the detection accuracy is improved. And classification and positioning of damage types and intelligent diagnosis of severity levels are realized through a convolutional neural network and long and short memory neural network hybrid model, and a closed-loop processing flow from data acquisition to feature analysis is formed.

The invention discloses a wind turbine generator hoisting construction tower drum operation system and a construction method thereof, and relates to the technical field of intelligent control. The problems that in the prior art, a static tension balance mechanism cannot restrain bending moment abrupt change, steel-concrete interface stress concentration causes microcrack propagation, the wave dynamic load compensation capacity is insufficient, and dynamic rigidity attenuation early warning is lacked are solved. Comprising a dynamic load prediction module, a multi-mode vibration suppression module, an offset compensation module and a digital twinborn decision module, a hoisting load is solved in real time through a multi-physics field coupling model and an improved time sequence deep learning algorithm, and interface crack propagation is suppressed in combination with traveling wave offset control and sweep frequency vibration. An improved Morison equation is adopted to drive a two-stage hydraulic servo to compensate a wave dynamic load, and a digital twin closed-loop correction mechanism is constructed based on a 5G URLLC protocol; the tower drum hoisting precision, the structural safety and the operation reliability under the complex working condition are remarkably improved.

The invention relates to the technical field of geological landslide monitoring, in particular to a tower footing geological landslide monitoring and early warning system and method. The method comprises the following steps: arranging an inclination angle sensor, a Beidou-GNSS module, a soil moisture content probe and a micro-seismic accelerometer on a tower footing and the periphery of the tower footing, and collecting the inclination amount, three-dimensional displacement, soil moisture content and vibration response information of the tower footing to form a monitoring original data set; timestamp unification, WGS-84 projection coordinate system conversion and multi-frequency vibration elimination are carried out on the monitored original data set, and an air-ground integrated displacement profile is constructed; the whole process realizes high integration and automation in the aspects of data acquisition, processing, fusion and transmission, so that the timeliness, accuracy and data integrity of landslide risk monitoring are ensured, and scientific decision support is provided for disaster prevention and reduction.

The invention discloses a method for continuously and efficiently adsorbing and separating hydrogen isotopes. The hydrogen isotopes are separated by adopting a multi-tower variable-temperature variable-pressure device operated in a simulated moving bed operation mode. When the device runs, each adsorption tower needs to sequentially execute the following steps: 1, adsorption; 2, replacement; 3, heating; 4, vacuumizing and desorbing; 5, carrying out vacuum purging; 6, pressurizing and cooling; the operation mode of the simulated moving bed is that an adsorption tower is frequently, sequentially and synchronously moved along the gas flowing direction in the tower through all gas input and output ports, so that an adsorbent phase and a gas flowing phase in the tower form countercurrent flow, and the hydrogen isotope adsorption separation efficiency is enhanced. The invention relates to a technological process of cyclic adsorption, replacement, heating, vacuum desorption, pressurization and cooling, continuous and efficient hydrogen and isotope adsorption separation is realized, multi-tower serial adsorption and replacement are adopted in the process, and separation of hydrogen isotopes (such as H2 / D2) is enhanced; and the desorption efficiency of heavy components is improved by adopting a heating and vacuumizing depressurization coupling mode.

The invention relates to the technical field of mixed tower wind power tower monitoring, and discloses a real-time monitoring method and system for the perpendicularity of a mixed tower wind power tower. The system comprises a data sensing layer, a communication control layer and a perpendicularity analysis layer, wherein the data sensing layer realizes multi-point synchronous measurement and dynamic calibration of tower deformation through a displacement sensor array, a dipmeter and the like; the communication control layer completes multi-source data time synchronization, format standardization and fusion transmission through edge calculation, protocol conversion and space-time registration technologies; the perpendicularity analysis layer combines design parameters and real-time data to construct a holographic tower space attitude model, and deformation prediction, benchmark correction and abnormity warning are achieved through a dynamic weighting algorithm. The method comprises the steps of data acquisition and calibration, processing and transmission, model construction analysis and result output. The method achieves the real-time precise monitoring of the perpendicularity of the tower, improves the operation safety, and is suitable for the state monitoring of the mixed-tower wind power tower.

The invention relates to the technical field of stress detection, in particular to an absolute stress detection method and system for a concrete bridge, and the method comprises the following steps: obtaining stress data of a bridge girder, a support, a box girder and a main tower, collecting wind speed and wind direction sensor data, calculating a wind load gradient value, and extracting wind load primary and secondary influence regions and a transmission buffer region. And generating a wind load area stress data set. According to the method, through environmental factors and stress data, the influence of wind load on structure stress is identified, data comprehensiveness is ensured, through wind load gradient change rate calculation and stress sudden change area extraction, the structure weak point identification capability is improved, the stress fluctuation trend is quantified through time sequence analysis, and the cumulative change rate is deduced, so that fatigue damage prediction is more accurate; abnormal point identification is combined with deviation ratio analysis, measurement data is corrected, analysis reliability is improved, fatigue damage information is extracted based on stress attenuation features, local fatigue evaluation is optimized, a damaged area is accurately locked, and the accuracy of structural health monitoring is improved.

The invention discloses a concrete cable bent tower construction modeling method based on a BIM technology, and relates to the technical field of bridge construction, a BIM model is adopted to extract three-dimensional coordinates of each node of a stiff skeleton and then carry out positioning, after the stiff skeleton is assembled, if deviation exceeds a limit, a correction instruction is automatically generated, template data is collected in real time, and construction parameters of a next section are rehearsed based on the BIM model. Dynamically adjusting the template, rehearsing the spatial pose of the cable conduit, calculating the thermal deformation compensation amount, then correcting the installation error in real time, simulating the concrete pouring process, dynamically optimizing the pouring strategy, generating a completion model after each section is constructed, automatically comparing and analyzing the completion model and the BIM model, and generating a BIM model optimization strategy. According to the method, local adjustment is conducted on position conflicts of various embedded parts, cable conduits, pouring joints and the like by building the BIM model, segment division capable of directly guiding site construction is formed, the construction control level is effectively improved, rework is reduced, and the construction efficiency is improved.

Assemblies, apparatuses, and methods to extract or convey a material from a source of the material may include a vacuum generation and sound attenuation assembly and a material receiver to enhance conveyance the material from the source of the material. The vacuum generation and sound attenuation assembly may include a vacuum source positioned to cause a vacuum flow between the source of the material, the material receiver, and the vacuum generation and sound attenuation assembly. The vacuum generation and sound attenuation assembly may further include a sound attenuation chamber positioned to receive at least a portion of the vacuum flow from, and attenuate sound generated by, the vacuum source. The material receiver may be positioned an elevated location relative to a source of the material and be capable of staging and metering the conveyance of material when moving material at the top of a structure, such as a refinery tower.

The invention provides a wind power mixed tower damage prediction method and system based on digital twinning. The method comprises the steps of obtaining multi-source data of a wind power mixed tower; wherein the multi-source data comprises structure response data, environment load data and historical operation and maintenance data; based on a building information model and finite element model fusion technology, constructing a digital twinborn model of the wind power mixing tower; inputting the multi-source data into a digital twinborn model to realize real-time mapping of the wind power mixed tower and the digital twinborn model, and obtaining real-time structure state data of the wind power mixed tower through the digital twinborn model; inputting the multi-source data and the real-time structure state data into a pre-trained LSTM-GRU hybrid neural network model, and predicting a damage evolution trend of the wind power hybrid tower in combination with an attention mechanism; and on the basis of the damage evolution trend, a maintenance scheme of the wind power mixed tower is generated by using a multi-target particle swarm algorithm, so that balanced optimization of maintenance cost, power generation loss and risk level is realized, and the operation and maintenance efficiency and safety of the wind power mixed tower are integrally improved.

The invention belongs to the field of early warning and monitoring of power equipment, and particularly discloses an early warning system and method for inclination and collapse of a tower. The system comprises a sensor module, a data acquisition and preprocessing module, an edge calculation module, a data transmission and synchronization module, a central processing and intelligent analysis module, a visualization and early warning module, a power management module, a model training and optimization module and a system management and maintenance module. The system is high in data acquisition precision, strong in system robustness and high in early warning efficiency, can efficiently and accurately carry out real-time monitoring and inclination collapse early warning on the state of the tower of the transformer substation, and remarkably improves the operation safety and management efficiency of the transformer substation.

The invention discloses a multi-element historic building maintenance and restoration method based on three-dimensional laser scanning, and relates to the technical field of computer processing, and the method comprises the following steps: S01, obtaining the three-dimensional point cloud data of a historic building foundation through a ground laser scanner, the basic three-dimensional point cloud data comprises geometric information of a building facade, a ground structure and a near-ground decoration component; s02, an unmanned aerial vehicle carries a multi-line laser scanning device to scan the top and the high-altitude structure of the building, supplementary point cloud data is generated, and the millimeter-level precision three-dimensional coordinates of the pitched roof, the tower eave and the cornice bracket are covered with the supplementary point cloud data; and S03, synchronously acquiring surface texture data of the historic building by adopting multispectral imaging equipment. According to the method, the millimeter-level precision of three-dimensional reconstruction of the historic building is realized through multi-source data fusion and a hierarchical optimization algorithm, and the maintenance decision efficiency is improved by combining automatic disease recognition and a multi-modal analysis technology.

The invention discloses an automatic three-dimensional reconstruction method and system based on power transmission corridor point cloud. The method comprises the following steps: acquiring data and exporting point cloud data; noise points, outliers and ground points are removed from the acquired point cloud data of the power transmission corridor, and down-sampling is performed on the point cloud with a large data volume; performing clustering segmentation on the preprocessed point cloud of the power transmission corridor, positioning the position of a tower, determining a point cloud range of a power line, and removing point clouds of other objects on the ground; aiming at the structural characteristics of a power line and an insulator in the power transmission line, extracting point clouds of the power line, the insulator and a tower by adopting a geometric constraint principal component analysis (PCA) algorithm; performing automatic geometric model reconstruction on the tower, insulator and power line point clouds according to different reconstruction rules to generate each module grid model; and transforming the grid model of each module, restoring the grid model to the original position of the point cloud, and generating a power transmission line digital twin model conforming to the real size. According to the method, automatic segmentation, classification and real-time reconstruction can be accurately carried out on the point cloud of the power transmission corridor.

The invention discloses a pole climbing robot for a wind power tower pole, which is characterized in that the robot mainly comprises a robot body, 4-8 pole climbing mechanisms, a snake-shaped swing arm and a movable studio, wherein the snake-shaped swing arm and the movable studio are mounted on one side of the robot body; the robot body is an annular body formed by combining two semicircular cambered bodies or three equal cambered bodies; the diameter of an internal ring of the circular body is matched with the diameter of the wind power tower pole; the pole climbing mechanisms mainly comprise upper foot wheels, lower foot wheels, connecting arms, driving gears, thrust screw rods, nut gears and supporting seats; the upper foot wheels are connected with the lower foot wheels by the connecting arms through wheel shafts; the connecting arms are connected with the thrust screw rods by connecting pin shafts on the connecting arms, and form movable hinges; the 4-8 pole climbing mechanisms are distributed in the circular robot body uniformly; the snake-shaped swing arm consists of three swing arm parts, namely a large arm, a middle arm and a small arm; and the movable studio comprises two paralleled linear guide rails, a walk driving device and an operation room.

The utility model provides an angle steel tower foot welding processing platform, and relates to the technical field of welding processing platforms, the angle steel tower foot welding processing platform comprises a workbench, the top of the workbench is fixedly connected with a fixing assembly, and the top of the fixing assembly is fixedly connected with a plurality of limiting assemblies; the fixing assembly comprises a fixing frame, a plurality of mounting grooves are formed in the top of the fixing frame, and threaded rods are rotationally connected to the inner surfaces of the mounting grooves. According to the utility model, through the cooperative use of the first handle, the threaded rod, the guide rod, the moving block, the clamping block and the mounting groove, not only can the tower foot bottom plate be fixed, but also the limiting assembly can be driven to move synchronously, and then through the cooperative use of the second handle, the bidirectional screw rod, the clamping plate, the auxiliary rod and the limiting frame, the tower foot bottom plate can be fixed. And the cross-shaped tower frame on the tower foot bottom plate is clamped and fixed, so that the tower foot bottom plate and the cross-shaped tower plate are conveniently welded after being fixed, and the welding efficiency of the tower foot is improved.

The invention provides a power transmission line mountain fire disaster risk assessment method and system based on space-time event driving, and the method comprises the steps: obtaining mountain fire monitoring data of a to-be-assessed region, and generating a space-time event according to the mountain fire monitoring data; according to an event association rule, the space-time event is associated with a power transmission line tower through a directional edge, and then a power transmission line mountain fire disaster hidden danger map is constructed; performing similarity matching on the time-space events generated in real time and the time-space events in the power transmission line mountain fire disaster hidden danger map, and searching the corresponding time-space events in the power transmission line mountain fire disaster hidden danger map by adopting a map traversal algorithm; and for the searched towers influenced by the space-time events, quantitatively calculating the risk score of each tower based on the data values of the real-time space-time events, and dividing the risk grades according to the risk scores. According to the method, the association precision of power transmission line risk assessment and the precision and efficiency of power transmission line forest fire prevention and control can be improved.

The invention belongs to the technical field of ships, and particularly relates to a launching barge tower broadside berthing structure which comprises a launching barge body. The launching barge body comprises a main body buoyancy tank in the middle and launching barge towers arranged at four corners of the main body buoyancy tank; the launching barge body can be berthed in the dock platform; and the berthing assembly is arranged on the launching barge tower building, the berthing assembly is arranged on the side, close to the dock platform, of the launching barge tower building, and the berthing assembly can fill and level up a protruding main body structure of the launching barge tower building, so that the broadside structure is flat and can safely berth the dock platform. By arranging the berthing assembly, the bottom of the protruding main body structure is filled and leveled up, so that the broadside structure is flat and can safely berth the dock platform, the broadside structure form of a launching barge tower building is changed, the safety requirement of the berthing dock platform is met, the functions and purposes of the launching barge berthing dock platform are improved, and traditional unsafe operation is eradicated.

The invention relates to the field of electric power engineering, and discloses a cement electric tower foundation differential settlement monitoring method and system, and the method comprises the steps: obtaining cement electric tower foundation bearing parameters and environmental geological data, constructing a sensing displacement array, deploying basic monitoring points, calibrating an initial reference value, and then collecting displacement data in a fixed time period, the method comprises the following steps: calculating a uniform settlement amount, generating a deformation early warning signal in combination with inclination angle information, analyzing a support weak area according to the early warning signal, determining a reinforcement priority, detecting stress distribution and a crack propagation trend, generating a settlement regulation and control instruction, analyzing instruction feedback data, identifying an abnormal settlement mode, calculating an instability risk coefficient, and compensating and correcting offset data. And analyzing a settlement evolution rule, and finally making a grading maintenance strategy. The maintenance safety and stability of the cement electric tower structure can be improved.

The invention discloses a cavity type mixed tower fan foundation formwork construction method. Comprising the steps of cushion layer pouring, pay-off, cavity foundation slab steel bar binding, annular support system erecting, foundation lower inner formwork supporting and inner support frame body arranging, cantilever anchoring end bottom formwork frame body supporting, cantilever anchoring end bottom formwork installing, foundation upper inner formwork supporting and inner support arranging, anchor backing plate and prestressed pipe installing, steel bar binding and annular support system erecting. And a foundation outer formwork is installed. Compared with the prior art, formwork erecting is formed at a time, a foundation is integrally poured, and the overall construction quality is guaranteed; the problem of leakage caused by two-time pouring of a construction joint part is avoided, water stop steel plates are reduced, and materials are saved; the inner supporting frame bodies are radially arranged with the center of the circle and the center of the stand column as a supporting point, and structural stress is reasonable. The supporting frame body is simple in structure, neat, attractive, reasonable in stress and easy to operate, the center stand column is recycled, and construction is efficient.

The invention relates to the technical field of intelligent operation inspection of power transmission lines, in particular to an intelligent tower detection method and a satellite image processing system, and the method comprises the steps: obtaining tower space information through constructing a tower information database, carrying out the complexity judgment of the tower space information, and carrying out the labeling processing of the tower space information according to a judgment result, the method comprises the following steps: acquiring tower marking data, training a tower identification model according to the acquired tower marking data, then performing correction fusion on tower detection information, acquiring correction detection information, identifying the correction detection information according to the tower identification model, and outputting a tower identification result; through the method, the problems of low identification precision, low efficiency and high marking cost of a traditional tower identification method in a large-scale and high-complexity scene are effectively solved, the tower detection precision is improved, the adaptability of a model in a complex environment is enhanced, and the intelligent level and the operation and maintenance efficiency of electric power inspection are improved.

The invention discloses a safety monitoring system of a high transverse support system for cable-stayed bridge man-shaped tower column construction, and relates to the technical field of bridge construction monitoring, the system comprises a creeping formwork integrated sensing module used for generating a point cloud model by using a mechanical arm integrated on a hydraulic creeping formwork platform and a laser radar scanning tower column curved surface, combining with a preset building information model coordinate, adaptively adjusting the mounting posture of the sensor, and outputting the mounting coordinate position of the sensor; the optical fiber sensing network module is used for collecting original strain and temperature data by using a distributed optical fiber sensor deployed along a main stress path of the support truss; an inertial navigation fusion positioning module; a digital twinning early warning module; and an edge calculation relay module. According to the invention, a full-process monitoring chain from data acquisition to risk early warning is constructed through cooperation of multiple modules, full-period and multi-dimensional dynamic control of construction of the human-shaped tower column high transverse support system is realized, and timely perception and overall control of potential risks are ensured.

The lightweight design method for the steel-concrete combined wind power tower drum based on the topological optimization algorithm comprises the steps that S1, a multi-physics field coupling model of the steel-concrete combined wind power tower drum is constructed, and coupling parameters are determined; s2, material layouts of the steel-concrete combined wind power tower drum on the macro scale and the micro scale are obtained, and multi-scale collaborative optimization is carried out by dynamically adjusting scale parameters; s3, constructing a material distribution strategy, determining the distribution form and orientation of a steel material in a tension area and a compression area of the tower drum, and reasonably configuring a concrete material; s4, predicting tower performance under different design variables through the deep neural network model; and S5, performing multi-target evaluation on the optimized steel-concrete combined wind power tower drum design scheme, and determining a lightweight design scheme by constructing a comprehensive evaluation function and weighing the relationship between targets. According to the method, on the premise that the mechanical property and the structural reliability of the wind power tower drum are guaranteed, accurate regulation and control and lightweight design of material distribution are achieved.

The invention relates to a structural fatigue evaluation method and system for a tower drum of a wind turbine generator, equipment and a storage medium, and the evaluation method comprises the steps: S1, obtaining the shape functions of a plurality of nodes on a target tower drum; the plurality of nodes are uniformly divided along the height direction of the target tower drum; s2, acquiring operation data of a target wind turbine generator; s3, inputting the operation data and the shape function on each node into a preset wind turbine generator model to obtain a bending moment time sequence corresponding to each node on the target tower; s4, according to the bending moment time sequence of each node, the accumulated damage degree of each node is determined; and S5, according to the accumulated damage degree of the at least one node, outputting a structural fatigue evaluation result of the target tower drum. According to the evaluation method, the structural fatigue condition of the tower drum can be accurately estimated without depending on an external sensor.

The invention provides a ship surface spraying device. The ship surface spraying device comprises a lifting driving source, a lifting transmission mechanism, a movable walking chassis assembly, a plurality of equipment rooms, a tower, a control tower capable of being installed on the tower in an up-down moving mode, a telescopic arm capable of stretching out and drawing back horizontally and spraying equipment. The walking chassis assembly comprises a walking chassis and a pair of driving wheels installed on the walking chassis in the walking direction perpendicular to the walking chassis, each driving wheel comprises a walking driving source installed on the walking chassis and a rotatable driving wheel body, and the walking driving sources are in transmission connection with the driving wheel bodies. The walking driving sources of the two driving wheels are mutually independent; the multiple equipment rooms, the lifting driving source and the tower are all fixedly installed on the top of the walking chassis, the lifting driving source is in transmission connection with the control tower through the lifting transmission mechanism, the inner end of the telescopic arm is installed on the control tower, and the spraying equipment is installed at the outer end of the telescopic arm. According to the spraying equipment, automatic spraying operation on the outer surface of the ship is achieved, and the spraying efficiency is high.

The invention discloses a twinborn cooperative intelligent operation and maintenance method for a wind power tower group, and relates to the technical field of wind power generation towers, and the method comprises the following steps: S1, sensor deployment and real-time data collection; the method comprises the following steps: acquiring operation state data and environmental parameters through a sensor network deployed in each wind power generation tower in a wind power plant; s2, digital twinborn body construction and early warning are carried out; constructing a corresponding digital twinborn body for each wind power generation tower, wherein the digital twinborn body integrates a physical mechanism model and a prediction module driven by real-time data; generating a fault early warning signal and a health degree evaluation result based on the deviation between the simulation output of the digital twin and the sensor data; s3, multi-agent collaborative decision making is carried out; step S4, performing closed-loop optimization; according to the twinborn cooperative intelligent operation and maintenance method for the wind power tower group, the fault early warning precision is improved, the service life prediction error is compressed, the maintenance efficiency is improved, and the wake flow loss is remarkably reduced.

The invention provides an overhead ground wire uninterruptible ice melting automatic segmentation method and system and a storage medium, and the method comprises the following steps: constructing an ice melting evaluation model based on the environment conditions and structure parameters of a power transmission line, and judging whether an ice melting device has enough output capability or not; if the output capability of the ice melting device is not enough to cover the whole ground wire for ice melting, constructing a plurality of segmentation configurations at the sectionable tower, generating a candidate segmentation scheme set, and performing electrical parameter calculation on each candidate segmentation scheme; taking minimization of the number of segments and minimization of ice melting energy consumption as double targets, adopting a multi-target genetic algorithm to carry out iterative evolution on the candidate segment scheme set, and screening out a Pareto optimal solution set meeting the capacity of an ice melting device and line safety constraints; and selecting the optimal segmentation configuration meeting the uninterrupted ice melting requirement from the Pareto optimal solution set, and outputting the optimal segmentation configuration. According to the invention, good lightning protection performance and economical efficiency can be taken into account under the condition of live ice melting without power failure.

The invention discloses a mixed tower steel cable system parametric modeling method and system based on multi-body dynamics, and relates to the technical field of wind power generation. The method comprises the following steps: creating parameter points at the center of each end face of a concrete section according to geometric parameters, and establishing a mixed tower three-dimensional model; correcting the mass of each section of the mixing tower according to the material density of the mixing tower; simulating the characteristics of pressure resistance and non-tension resistance of the mixed tower, and establishing a contact and bonding relationship between concrete sections of the three-dimensional model of the mixed tower; obtaining design parameters of a steel cable in the mixed tower, constructing a steel cable parameterized model, and combining the steel cable parameterized model with the mixed tower three-dimensional model to obtain a mixed tower steel cable system parameterized model; and performing dynamic simulation on the operation condition of the fan to obtain a time domain response result of the parameterized model of the mixed tower steel cable system. According to the invention, the response characteristic analysis of the mixing tower under multiple working conditions and multiple structures is realized.

The invention discloses a wind power tower lifting platform based on self-adaptive weight and fuzzy PID control and an adjusting method of the wind power tower lifting platform. The lifting platform comprises a main frame body, a ladder stand component, a guide rail assembly, a lifting platform mechanism and a lifting driving assembly. The device comprises a transmission chain wheel assembly, a driven chain wheel assembly, a counterweight assembly, an anti-falling assembly, a top corridor, a sliding terminal and a conductive sliding frame. The adjusting method comprises the steps of sensor installation and data acquisition; processing and analyzing data; self-adaptive weight optimization adjustment is carried out, the load condition and the environment condition of the current platform are judged, and the optimal balancing weight position is calculated in real time; ensuring that the lifting speed is matched with the current load according to a weight optimization result; and carrying out multi-layer neural network load prediction. The stability and safety of the platform under complex working conditions are improved, and the problems that a traditional method is slow in response and insufficient in adjusting precision when dealing with load fluctuation and environment change are solved.

A method for rapid and safe construction and intelligent monitoring and controlling of continuous arch bridges, which using a single-arch rib construction method, when installing a new arch rib segment, the clasp cable is immediately extended, and then using an intelligent control cable to ensure that the pier and anchorage tower are in a balanced state. The newly installed segment is no longer in a cantilever state, and the loading on the flange is very small, resulting in a small change in the tension force for the clasp cables of the previous segments. The present invention saves more than half of the clasp cable usage, reduces the number of transverse movements of the cable crane system, and significantly shortens the construction period. The construction method which using intelligent control cables to balance the unbalance loading on the middle pier, could be applied to the construction of continuous arch bridges.

The invention provides a multi-tower linkage control method and system in waste gas treatment and a medium, and relates to the technical field of automatic control, and the method comprises the following steps: building a multi-tower linkage control architecture; collecting target waste gas composition data, performing working condition matching analysis on the composition data and a waste gas cooperative treatment tower group, determining process parameters of a matched treatment tower and a target treatment tower group for linkage treatment, and monitoring waste gas change parameters of the treatment towers; and when the waste gas change parameter reaches a waste gas switching threshold value, performing dynamic switching regulation and control by adopting a multi-tower linkage switching strategy, and determining a multi-tower linkage control strategy parameter to perform closed-loop treatment control on the target waste gas. The technical problems that in the prior art, a real-time sensing and dynamic response mechanism based on waste gas composition changes is lacked, so that the utilization rate of a treatment tower set is low, and complex and changeable waste gas treatment requirements cannot be efficiently and stably met are solved, and the technical effect of improving the waste gas treatment efficiency and stability is achieved.