39results about How to "Resolve continuity" patented technology

The invention relates to the technical field of perception fusion, and discloses a tug fusion enhanced perception method based on target tracking and obstacle recognition, which comprises the following steps: processing an AIS, an optical fiber compass, a Beidou RTK, a laser radar, a millimeter wave radar and a panoramic camera on a tug to establish a ship coordinate system; and collecting message data of the AIS and combining with the MMSI information to screen the target ship to obtain the initial position of the target ship. And predicting the state sequence of the target ship to obtain the position, speed and heading information of the target ship. And carrying out target identification on the image, outputting identification results of semantic levels of the ship, the buoy and the quay wall, and carrying out space projection alignment with radar data. And fusing the processed results to obtain a fusion result, and performing early warning according to the fusion result. According to the method, the target ship relative pose resolving precision and the obstacle recognition reliability are improved, the sensing link time delay is shortened, and the driver blind area risk is reduced.

The invention relates to the technical field of flange plate welding, in particular to flange plate automatic welding equipment and a using method thereof.The flange plate automatic welding equipment comprises a welding executing mechanism arranged on a wall, a supporting platform is arranged in front of the welding executing mechanism, and a rotating platform is arranged on the supporting platform; a chuck for clamping a flange plate is fixed on the rotating platform; the welding executing mechanism comprises a linear module arranged on a wall, a frame is fixed to a sliding block of the linear module, a rotating shaft is arranged at the top of the frame, and the rotating shaft is connected with a mechanical arm. The method can effectively ensure that a product is not deformed in the welding process, meanwhile, the residual stress of a weldment generated by welding is reduced, the quality of the product is improved, the passing rate of nondestructive detection of a flange pipeline on a welding seam is also improved, the problems of poor welding seam quality, discontinuous welding and the like caused by errors of the roundness and coaxiality of the pipeline are solved, and the welding quality is improved. And the flange automatic welding level is improved.

The invention discloses a multi-channel circulating grouting-pipeline in-situ cleaning integrated plugging device and a using method thereof.The multi-channel circulating grouting-pipeline in-situ cleaning integrated plugging device comprises an initial grouting pipe, a later grouting pipe, a cleaning pipe, a first bag, a second bag and a third bag, and the first bag, the second bag and the third bag are sequentially installed on an extraction pipe at intervals from front to back; the initial grouting pipe penetrates through the first bag, the second bag and the third bag, the later grouting pipe and the cleaning pipe are next to each other and sequentially penetrate through the first bag and the second bag side by side from front to back, and a grouting-pipeline cleaning one-way valve located between the second bag and the third bag is arranged at the rear end opening of the later grouting pipe and the rear end opening of the cleaning pipe. The in-situ cleaning device is scientific in principle, simple in structure and convenient to operate, by means of in-situ cleaning of the grouting pipe after grouting in the later period, the next time of grouting and plugging of the gas extraction drill hole are smoother, and therefore the reliability and continuity of plugging of the drill hole in the gas extraction process are achieved.

The invention discloses a new-energy-based waste electricity pulse Joule heat treatment organic solid waste poly-generation method and device, and the method comprises the steps: taking the electric quantity generated by wind energy and / or solar photovoltaic energy which cannot be connected to a grid as new-energy-based waste electricity, and storing the new-energy-based waste electricity in an electricity storage device, thereby forming a power supply; the organic solid waste is subjected to heat treatment through flash Joule heat formed by pulse discharge by using a power supply, and a gas-phase product and a solid-phase product are generated; carrying out gas separation treatment on the gas-phase product, and storing the separated gas-phase product into a corresponding gas-phase storage system; and carrying out solid separation treatment on the solid-phase product, and storing the separated solid-phase product into a corresponding solid-phase storage system so as to complete deep resourceful treatment on the organic solid waste. According to the method, waste electricity generated when new energy is not connected to a grid is deeply used for resourceful treatment of the organic solid waste, the generated gas-phase product and solid-phase product can be applied to the downstream field, and the resourceful degree of the organic solid waste is improved.

The invention provides a cascade coding and decoding method based on RS-convolutional codes in an FSO system. Belongs to the technical field of atmospheric laser communication. The method comprises the following steps of: firstly, inputting a source data sequence into a sparse code encoder for blocking and RS (Reed-Solomon) coding to generate an RS code word containing error correction redundancy; and then, the RS code words are rearranged by using an interleaving technology, so that the occurrence of continuous errors is reduced. And then, after the interleaved RS code words are subjected to parallel-serial conversion, the RS code words are input into a dynamically-adjusted convolutional encoder, encoding parameters are dynamically adjusted according to the current communication environment, and a redundancy-enhanced encoding sequence is generated. After signals are sent and received, the interleaved RS code words are recovered through iterative decoding, and finally, the RS decoder corrects symbol errors and recovers source data by using dynamically adjusted decoding parameters. In the whole process, data transmission in the FSO system is realized through an RS-convolutional code cascade coding and decoding method, and the reliability and accuracy of data transmission are improved.

The invention discloses a target surface normal reconstruction method and device based on physical constraints, and belongs to the technical field of three-dimensional target reconstruction. The method comprises the steps of calculating target surface polarization characteristics based on test data of a polarization imaging measurement device; establishing an equation set of the relationship between the target surface normal and the depth; constructing zenith angle constraints based on the luminous flux idea, and correcting the relationship between the target surface normal and the depth by using the zenith angle constraints; constructing a loss function about depth by utilizing convexity prior constraint, and constraining the corrected equation set by utilizing the loss function; and solving the corrected equation set constrained by the loss function by using the target surface polarization characteristics to obtain zenith angle and depth estimation, and determining final target surface normal distribution by using the obtained zenith angle and depth estimation. According to the invention, more accurate normal distribution of the target surface can be obtained.

This invention discloses a comprehensive energy operation simulation method and system based on multi-objective optimization, belonging to the field of energy technology, aiming to solve the problems of equipment overload and discontinuous power supply caused by supply and demand imbalance under extreme climate conditions. The method establishes a multi-objective collaborative optimization model based on the renewable energy types and seawater desalination load characteristics of the island microgrid. An improved NSGA-III algorithm is used to simulate the model and generate a scheduling scheme, including the start-up and shutdown sequence of the hydrogen production equipment. When a typhoon warning signal is received, the seawater electrolysis hydrogen production equipment is forcibly locked, and the output power of the diesel generator is fixed within a preset range. During the operation of the hydrogen production equipment, the output fluctuation data of the wave energy generator is collected in real time, and the operating power of the reverse osmosis seawater desalination unit is adjusted through a dynamic correction algorithm. When the hydrogen storage capacity of the hydrogen production equipment reaches a threshold, the power lock of the diesel generator is released, switching to a multi-energy coupling control mode, and the charging and discharging strategy of the energy storage equipment is updated synchronously.

This invention discloses an AGV (Automated Guided Vehicle) transportation trajectory measurement, control, and planning method and system, belonging to the field of warehouse logistics automation technology. It aims to solve the problems of discontinuous path planning, poor adaptability, and low safety in existing AGVs in obstacle-prone scenarios. This invention generates electronic fences by acquiring road condition information and generates two replanning reference paths outside preset oriented sectors on both sides of the obstacle, selecting the path with the largest redundant area as the local replanning path. Furthermore, it merges overlapping electronic fences and their paths using tangential paths and achieves seamless path connection through curved transition trajectories. In addition, it adaptively adjusts the path generation strategy according to the AGV size, generates stop commands when space is insufficient, and actively loads lost goods through visual recognition. This invention enables dynamic, smooth, and safe adaptive detours of AGVs in complex warehouse environments, improving transportation efficiency and system robustness.

The invention discloses a tobacco shred width online sampling detection device and a detection method, and aims to solve the problems of low detection efficiency, insufficient real-time performance, high tobacco shred clustering lap joint rate, transparent pressing plate pollution and the like in the prior art. According to the technical scheme, the tobacco shred width online sampling detection device is arranged on a tobacco shred conveying line, the core of the tobacco shred width online sampling detection device comprises a material receiving and conveying mechanism, a material scattering device of a vibration scattering device, a tobacco shred flattening and conveying mechanism and a visual detection mechanism; the vibration shaking device is used for loosening and raking the clustered and lapped tobacco shreds, so that the lapping rate and the agglomeration rate are reduced, full preparation is made for flattening the tobacco shreds, and the single tobacco shred rate is increased. According to the detection method, detection is completed through differential conveying and primary spreading, four-layer progressive vibration material scattering, conveying, clamping and flattening and visual acquisition of high-flattening-rate tobacco shred images. According to the scheme, the uniformity of tobacco shred bulk materials is greatly improved, the clustering lap joint rate is reduced, pressing plate pollution is avoided, real-time online detection is achieved, the detection efficiency and continuity are improved, the detection efficiency is improved, and guarantee is provided for stable cigarette quality.

The application discloses a dual-energy ray bone density evaluation method based on a flat panel detector and relates to the technical field of ray evaluation.The direct conversion mode of the flat panel detector is used to realize high-precision collection of low-energy and high-energy ray images, and noise and resolution loss caused by traditional indirect imaging are significantly reduced;one-time and two-time corrections are completed in an edge computing node, the problem of gray scale discontinuity and energy ratio distortion in the joint area of bones and soft tissues is effectively solved, and the authenticity of the image boundary is improved;further dynamic smoothing processing of the energy ratio is combined to obtain a stable ratio image, the stability and repeatability of bone density measurement are significantly enhanced, and more accurate bone density evaluation is realized.

The present invention discloses a multi-IRS-assisted broadband CR system resource optimization method based on deep reinforcement learning, the method comprising step 1: broadband spectrum perception. Step 2: secondary network signal transmission. Step 3: establish a secondary network achievable rate maximization problem framework, and list the objectives and constraints to be optimized. Step 4: establish a Markov process according to the proposed secondary network achievable rate maximization problem framework. Step 5: use the SAC algorithm to optimize the model until the model converges. Step 6: output the result to obtain the total achievable rate of the secondary network. The present invention overcomes the problems of resource waste caused by fading and spectrum idleness generated during wireless signal propagation, and has significant improvements in broadband spectrum perception performance, spectrum utilization and achievable rate of secondary networks. Compared with existing traditional algorithms, the present invention reduces computational complexity and improves convergence speed.

The invention relates to the technical field of integrated navigation, in particular to a positioning method and system based on optical angle measurement and astronomical-inertial integrated navigation. According to the method, firstly, a star image and a navigational satellite image are obtained at the same time by shooting a star map, after recognition and processing, the attitude of a camera relative to a geocentric inertial coordinate system is calculated by utilizing the star, and then the coordinate of the navigational satellite in the coordinate system is determined. And obtaining angle information of the navigation satellite relative to the observer under the earth coordinate system through coordinate transformation. Optical angle measurement information is fused with attitude, speed and position information output by an inertial navigation system, a Kalman filtering state equation and an observation equation are constructed, and finally real-time high-precision calculation and updating of the position of the observer are achieved. According to the method, the accuracy of optical angle measurement, the limited distance reference of celestial navigation and the autonomous continuity of inertial navigation are fused, and the navigation positioning accuracy and reliability under the complex environment and the satellite denial condition are effectively improved.

The utility model discloses a waste discharge mechanism, which comprises a main conveying device, a second conveying device, a third conveying device, a fourth conveying device, a fifth conveying device and a sixth conveying device, the secondary conveying device is provided with a second starting end and a second ending end which are used for conveying the pole piece, and the second starting end of the secondary conveying device is aligned with the first ending end of the primary conveying device; the waste collecting device is located below the joint of the main conveying device and the secondary conveying device; and the lifting mechanism is in driving connection with the secondary conveying device, and the second starting end of the secondary conveying device is separated from the first ending end of the primary conveying device, so that the pole pieces fall into the waste collecting device. The utility model can solve the problem of waste discharge cost, can realize continuous waste discharge, and is convenient to operate.

The invention relates to a method and a device for optimizing a large language model interactive service for a weak network environment, which are particularly suitable for regions with limited network infrastructures. The method comprises the following steps: establishing an interactive self-adaptive hierarchical service architecture of a large language model, and dynamically adjusting LLM context management and generation control according to a network condition; establishing a semantic local cache mechanism oriented to large language model interaction, and performing local storage and offline response of LLM specific key data at a user equipment side; establishing an asynchronous fault-tolerant processing mechanism of large language model interaction, and providing an interaction continuity guarantee when the network is abnormal; and establishing a transmission optimization strategy of the large language model, and optimizing the transmission characteristics of the data. According to the method, the special problems of response delay, interaction interruption, bandwidth limitation and the like of interactive application of the large language model in a weak network environment are solved, and the service stability and the user interaction fluency of the large language model are effectively improved.

The application provides a robot mechanical arm cooperative control method based on imitation learning. The method comprises the following steps: constructing a robot historical state data set, performing feature extraction on the robot historical state data set through an encoder structure to obtain a latent feature representation; obtaining a color image and a depth image of a target operated by a robot to be predicted through a binocular camera, performing feature extraction processing on the color image and the depth image through a mode classification module and a visual feature extraction network to obtain a mode feature and a visual feature vector; inputting joint state information, the latent representation, the operation mode feature and the fused visual feature into a decoder to obtain an action block prediction result, performing weighted averaging on action blocks at multiple continuous time points based on a time series integration weighting mechanism to obtain a continuous control trajectory of the robot mechanical arm. The application solves the multi-stage strategy discontinuity and error accumulation problems existing in the traditional control algorithm, and realizes smooth action, stable task and double-arm cooperative control.

The invention provides a method, a medium and a system for generating a layer by cutting an online satellite image, belongs to the technical field of image data processing, and particularly relates to partition storage and hierarchical management of to-be-processed satellite image data by establishing a satellite image spatial index database, a multi-level image pyramid and a multi-level image memory pool. And obtaining to-be-processed image slice data from the target pyramid hierarchy based on parameters in the image layer cutting request, distributing the to-be-processed image slice data to the corresponding target memory pool hierarchy, performing atmospheric correction processing by adopting a radiation transfer equation set and performing edge feathering processing by adopting a weight calculation equation set, and finally generating target image layer data. Wherein the multi-level image pyramid is stored in a system cache, meanwhile, a multi-level image memory pool is established, and the level number of the multi-level image memory pool corresponds to the level number of the multi-level image pyramid in a one-to-one mode. The technical problem that in the prior art, the quality of a cut layer formed after splicing is not ideal is solved.

The application discloses the technical field of agricultural drought monitoring and a kind of agricultural drought monitoring method based on multi-source soil moisture fusion, the method includes the following steps: obtaining active remote sensing soil moisture data, passive remote sensing soil moisture data and VIC model soil moisture data;Scale recalibration is carried out to active remote sensing soil moisture data and passive remote sensing soil moisture data by constructing cumulative distribution function;Multi-source soil moisture fusion is carried out using TC algorithm by season;Soil relative humidity index is calculated based on fusion soil moisture data and field water capacity data;Drought grade is determined based on soil relative humidity index and soil texture data.The application uses the mode of multi-source data fusion by season, not only solves the problem of insufficient monitoring depth and space-time discontinuity of remote sensing soil moisture, but also solves the problem of simulation deviation caused by irrigation influence of model soil moisture, and realizes the accurate monitoring of national scale agricultural drought.

The present application relates to the technical field of integrated navigation, in particular to a positioning method and system based on optical angle measurement and astronomical-inertial integrated navigation. The method first acquires star and navigation satellite images by shooting a star map, and then calculates the attitude of the camera relative to the geocentric inertial coordinate system by identifying and processing the stars, and further determines the coordinates of the navigation satellite in the coordinate system. Through coordinate conversion, the angle information of the navigation satellite relative to the observer in the earth coordinate system is obtained. The optical angle measurement information is fused with the attitude, speed and position information output by the inertial navigation system, the Kalman filter state equation and observation equation are constructed, and finally the real-time high-precision solution and update of the observer's position are realized. The present application combines the accuracy of optical angle measurement, the limited distance reference of astronomical navigation and the autonomous continuity of inertial navigation, effectively improving the navigation and positioning accuracy and reliability under complex environment and satellite denial conditions.

This invention discloses a Bayesian inversion extraction method for the equilibrium signal of wide-span altimeter data. The method involves acquiring and preprocessing sea surface height anomaly sequences from radar interferometers and nadir altimeters. A normalized sine square window function is applied for windowing, and multidimensional spatial averaging is used to estimate the one-dimensional wavenumber power spectrum. A piecewise power law-based equilibrium signal spectrum model and a noise spectrum model constrained by dynamic sea state are constructed, and the set of spectral parameters is extracted through logarithmic domain weighted least squares fitting. A set of spatial covariance matrices is constructed using cosine integral transform and Abelian forward and inverse transforms. A graphics processor is scheduled to perform batch matrix decomposition and singular fault-tolerant regularized inversion to solve for the posterior mean vector and posterior covariance matrix of the target equilibrium signal. Window fusion and index mapping are applied to fill the gaps in nadir observations. Geostrophic dynamics parameters are calculated, uncertainty quantification is performed based on the linear error propagation law, and the knowledge base is updated based on the exponential moving average algorithm. This invention achieves suppression of observation noise and physical filling of observation gaps, improving the adaptability of the inversion system to environmental changes while preserving non-Gaussian dynamic characteristics.

The utility model discloses an adsorption separation device relates to adsorption and analysis control technical field. The method includes: setting the first cleanliness threshold of finished gas and the second cleanliness threshold of analysis gas, according to the current state of the first cleanliness and the second cleanliness, the dynamic adjustment of the regeneration medium flow of analysis process, or when the first cleanliness reaches the first cleanliness threshold, end current adsorption process, make the adsorption tower and the regeneration tower switch operation mode. The utility model discloses through the dynamic adjustment of the dual state of real -time monitoring finished gas and analysis gas, can adaptive response actual working condition fluctuation, while guaranteeing finished gas quality stability, avoided the problem of insufficient or excessive consumption of regeneration medium of regeneration, significantly reduced operating energy consumption.

The utility model discloses a kind of aluminium tape winding disc devices, which is used for winding packaging of aluminium tape;First winding disc, second winding disc are set in mounting disc, first driving member is installed in mounting disc, for driving first winding disc rotation;Second driving member is installed in mounting disc, for driving second winding disc rotation;First auxiliary roller, second auxiliary roller are respectively set in mounting disc, and rotate with mounting disc;First winding disc is formed with first cutting part, and second winding disc is formed with second cutting part;Third driving member is fixed with rack, cutter is installed in the driving end of third driving member;When third driving member drives, cutter can enter first cutting part or second cutting part;Rotary assembly is installed in rack, and is connected with mounting disc;Rotary assembly is used to drive mounting disc rotation, to make first winding disc and second winding disc automatically complete station interchanging.The utility model technical scheme aims at improving production efficiency, and realizes the uninterrupted operation of aluminium tape winding packaging.

The invention relates to the field of unmanned aerial vehicle control methods, and particularly discloses a continuous time unmanned cluster system anti-synchronization optimization control method, which comprises the following steps: constructing a topological structure and a Laplacian connection matrix of an unmanned cluster system according to connection conditions and cooperative competition conditions among unmanned aerial vehicles of the unmanned cluster system; designing a strategy gradient algorithm fusing event triggering and a priority experience playback mechanism; the method comprises the following steps: constructing an event-critic neural network based on event triggering; the network determines the updating moment of the network weight by utilizing an event triggering mechanism, so that a non-periodic learning process is realized; the Critic network evaluates the approximate control action of the Actor network, the Actor network adjusts the control action according to the evaluation of the Critic network, and the whole process is updated by gradient descent.

The present application belongs to the technical field of information security, and relates to a non-interference network behavior situation awareness method and device, electronic equipment and storage medium, the method comprising: collecting and preprocessing network traffic data; combining Kalman filtering and a Transformer model to perform situation steady-state estimation and attack chain semantic recognition, and output fused situation information; performing standardized packaging, multi-channel output and hierarchical alarm based on the situation information; constructing a multi-dimensional access verification model, dynamically generating and executing control strategies to realize closed-loop linkage; providing cross-industry adaptive capability through workflow atlas generation, model pre-training and fine-tuning, and standardized templates; based on control feedback and situation review, automatically verifying network non-interference, monitoring algorithm collaborative stability, and performing emergency calculation and switching. Non-interference collection and control, high-precision situation awareness, two-way mandatory access control and cross-industry rapid adaptation can be realized, significantly reducing false positives and false negatives and operation and maintenance costs.

The utility model discloses a kind of overflow type plasma activated hydrogen peroxide systems, belong to electrochemical synthesis and green disinfection technical field, it includes electrolysis subsystem, plasma activation subsystem and high-pressure excitation and monitoring subsystem, electrolysis system is converted into high-purity hydrogen peroxide aqueous solution by the oxygen reduction reaction of reaction electric pile cathode side to pure water, anode side circulation electrolysis pure water;Plasma activation system adopts inclined sealing shell, inside is equipped with dielectric barrier discharge unit and liquid film formation unit, hydrogen peroxide solution forms uniform liquid film under the action of baffle, and active oxygen or active nitrogen group is generated with plasma reaction, high-pressure excitation and monitoring system real-time control discharge parameter.The utility model realizes the stable preparation and in-situ high-efficiency activation of high-purity hydrogen peroxide, with compact structure, low energy consumption, high sterilization efficiency and the like, suitable for medical, food processing and other fields of rapid disinfection.

The invention relates to the technical field of remote disaster recovery transmission, and discloses a remote disaster recovery transmission method, device and equipment for IPTV multicast service. The method comprises: respectively using a multicast convergence point and a multicast transcoding server to build a networking architecture for a first area and a second area to obtain an initial dual-node multicast network; dynamically detecting the multicast transcoding server to obtain a multicast service routing mechanism; creating a VPN instance to obtain a service isolation environment; transcoding the multicast stream received in the first area and synchronizing it to the second area to obtain multicast service data; inputting the multicast service data into a double-layer proxy model, performing deep reinforcement learning on service scheduling, and obtaining an intelligent scheduling strategy; performing load sharing calculation and establishing a dual-active backup mechanism for the first area and the second area to generate a remote disaster recovery transmission scheme. The invention realizes dual-active deployment and dynamic load sharing of the service, and significantly improves the overall service quality of the IPTV live broadcast service.

This application relates to the field of intelligent transportation and proposes a calibration method, device, equipment, and storage medium for roadside radar. The method includes: acquiring first positioning information and speed information of a vehicle, and second positioning information of a connected vehicle; clustering the first positioning information to generate a vehicle trajectory; determining the vehicle trajectory matching the second positioning information based on the relative positional relationship of the vehicle trajectories and pre-determined lane information of the connected vehicle; aligning the second positioning information and third positioning information in the vehicle trajectory according to time, and performing coordinate transformation calculations on the aligned positioning information to determine the calibration information of the roadside radar. Because this application generates vehicle trajectories by clustering based on the first positioning information and speed information, it can effectively solve the noise and discontinuity problems of roadside radar, and it eliminates the need to close roads when calibrating roadside radar on public roads.

The invention discloses an all-terrain multifunctional vehicle satellite navigation method and system, relates to the field of all-terrain multifunctional vehicle satellite navigation, is used for improving the navigation reliability and safety of an all-terrain multifunctional vehicle in a complex terrain, and comprises the following steps: obtaining the current position of the vehicle and the actual signal characteristics of a satellite signal received by the vehicle; calculating an expected signal characteristic of the satellite signal according to the current position of the vehicle and preset known environment data; according to the actual signal characteristics and the expected signal characteristics, determining whether signal abnormity exists or not; under the condition that the signal is abnormal, determining whether an abnormal area exists in a preset path going to the destination or not; and under the condition that the abnormal area exists in the preset path, generating an alternative path for avoiding the abnormal area so as to go to the destination.

The invention discloses a heterogeneous text offline transmission method and system based on dual-metadata collaboration and adaptive FEC (Forward Error Correction), and the method comprises the steps: distributing a file identifier to a to-be-transmitted text file, partitioning the to-be-transmitted text file, and setting an overlapping region to obtain a data block with the overlapping region; and generating a dual-metadata file containing position and content metadata files. Selecting a forward error correction coding mode for coding according to a transmission environment, and generating a two-dimensional code after converting a text character string in a uniform format and adding a check code; and decoding and identifying the two-dimensional code, storing the data in the dual-metadata pool in a classified manner after verification, extracting the data, decoding, recovering the metadata file and the data block with the overlapping region, and verifying. And finally, sequencing the verified data blocks, verifying the continuity of the overlapping regions, removing overlapping region splicing, restoring the file structure according to the position metadata file, and completing transmission and restoration. The technical problems that in the prior art, in the off-line transmission process of a large number of texts, the structure is lost, the error correction capacity is weak, and recovery is difficult are solved.

The invention belongs to the technical field of wharf design, and particularly relates to a wharf structure suitable for crossing a power plant water intake and a construction method. The structure comprises a wharf extension platform, a large-span structure and a transfer platform. The method comprises the following steps: determining the arrangement and construction method of a new wharf platform according to the plane arrangement of an original wharf and the relationship between the original wharf and a water intake; according to the technological characteristics of the wharf, the wharf newly-built platform sets related functions in sequence; the construction technology of mooring ship piers and transfer station abutment foundations close to the periphery of the water intake is determined; and driven pile construction, cast-in-place pile construction, cast-in-place abutment construction, large-span steel structure construction, upper facility construction and transfer station construction are completed, and wharf arrangement and construction crossing the water intake are achieved. According to the method, the problem of reconstruction of the wharf crossing the water intake of the power plant is solved, the design difficulty and the construction workload are effectively reduced on the basis of guaranteeing wharf construction and normal use of the water intake, and the design and construction efficiency is obviously improved.

The invention discloses a precise single-point positioning ambiguity fixed optimization method, device and equipment and a medium, and the method comprises the steps: obtaining original observation data of a mobile station, and carrying out the non-difference data preprocessing of the original observation data; performing PPP floating point solution calculation on the processed observation data to obtain a non-difference floating point solution of the current epoch of the mobile station; performing wide item ambiguity fixation on the non-difference floating point solution according to the MW combination observation value to obtain the final wide item ambiguity of the non-difference floating point solution; and performing narrow item ambiguity fixation on the non-difference floating point solution according to the final wide item ambiguity to obtain a PPP fixed solution of the non-difference floating point solution. The problems that an existing non-combined PPP-AR technology is low in ambiguity search efficiency, high in terminal load and poor in fixed solution continuity and stability in a complex scene can be solved.