3732results about How to "Optimize layout" patented technology

The invention provides a tunnel safety-oriented safety step pitch monitoring method and system, and the method comprises the steps: deploying an edge calculation module at a sensor node, carrying out the preprocessing and compression of collected monitoring data, reducing the data transmission amount through data dimension reduction and feature extraction, relieving the data transmission pressure, and improving the data transmission efficiency and real-time performance. An incremental learning algorithm is adopted to carry out online analysis on monitoring data, an anomaly detection model is dynamically updated according to a newly collected data sample, an early warning threshold value is adaptively adjusted, the accuracy and the real-time performance of anomaly recognition are improved, and misinformation and missing report are reduced; a multi-sensor data fusion technology is comprehensively applied, correlation analysis is carried out on sensor data of different types and different positions, the reliability and accuracy of monitoring data are improved through data redundancy and complementation, and comprehensive evaluation of the tunnel construction safety state is achieved.

The invention belongs to the technical field of power system monitoring, and particularly relates to a wireless cable temperature measurement system and method, and the system comprises an operation information collection module, a layout planning analysis module, a data standardization module, a change trend analysis module, an early warning threshold adjustment module, and a fault positioning analysis module. According to the invention, cable operation data and environment information are analyzed, the coverage range, data transmission delay and signal attenuation are considered, the layout of temperature sensors is optimized, the response speed and data accuracy of a temperature sensor network are enhanced, temperature data are formatted and processed, time sequence analysis is carried out, and the temperature change trend is evaluated. Abnormal temperature risk recognition is achieved in the early stage, the accuracy of fault prediction is improved, the cable temperature risk monitoring threshold value is adjusted in combination with cable specifications and meteorological information, the timeliness and effectiveness of risk management are improved, the fault response speed and the system stability are improved, the maintenance cost is reduced, and the reliability and safety of a power grid are improved.

The invention relates to the technical field of industrial automatic control, and discloses an electric control cabinet internal intelligent layout optimization and thermal management system, which comprises an intelligent layout optimization module, which adopts a particle swarm optimization algorithm to comprehensively analyze the multi-dimensional parameter size, the weight, the heat dissipation requirement and the like of internal equipment of an electric control cabinet, realizes layout optimization, and provides a thermal management module for the internal equipment of the electric control cabinet; the method comprises the following steps: receiving equipment parameters input by a user or automatically extracted from an equipment database, including but not limited to physical sizes, power consumption, thermal loads and the like of the equipment, and optimizing targets, including maximizing a space utilization rate, minimizing heat dissipation obstruction, optimizing a maintenance path and ensuring a safe distance between the equipment. According to the internal intelligent layout optimization and heat management system of the electric control cabinet, by comprehensively applying artificial intelligence, three-dimensional modeling, a multi-element heat dissipation technology and an Internet of Things technology, optimal layout and efficient heat management of internal equipment of the electric control cabinet are achieved, and the operation efficiency, safety and maintainability of the electric control cabinet are remarkably improved.

The invention provides an intelligent garden environment monitoring data analysis method and system. Sensors are deployed to collect temperature, humidity and other data in real time to form a data set. Analyzing an environment parameter change mode of each region by adopting a time sequence clustering algorithm, and determining characteristics and trends; and carrying out dimension reduction on the data by using a multi-dimensional scale transformation algorithm to a three-dimensional space for visualization, and generating an environment state map. And evaluating the plant fitness in combination with a plant physiological ecology knowledge base, and generating a scoring matrix to guide the preliminary layout scheme. And dynamically adjusting the layout by applying reinforcement learning, selecting an optimal scheme, and predicting a future environmental evolution path based on the optimal scheme and historical data. An automatic control system framework is constructed, a self-adaptive control algorithm is designed, intelligent regulation and control of plant layout are realized, garden management efficiency is improved, and ecological protection and sustainable development are promoted. Therefore, full-chain intelligent management from environment monitoring to plant layout optimization is realized, and the intelligent level of garden environment monitoring and management is remarkably improved.

The invention discloses a data cooperative transmission method and system for a low earth orbit satellite Internet of Things terminal, and the method specifically comprises the steps: carrying out the classification cutting of environment data, and forming a plurality of environment data subsets; determining a plurality of cooperative sending terminals and respective optimal communication paths between the first low earth orbit satellite Internet of Things terminal and each cooperative sending terminal based on a communication topological structure relationship between the low earth orbit satellite Internet of Things terminals in the ad hoc network; transmitting the environment data subsets with different priorities to corresponding cooperative sending terminals through different optimal communication paths; and according to the environment data subsets sent by each cooperative sending terminal and received by the low-orbit satellite, splicing the environment data subsets and forwarding the spliced environment data subsets to a target terminal or a ground station or a data center. According to the invention, the cooperative effect among a plurality of low-orbit satellite Internet of Things terminals can be fully utilized, and stable and reliable data transmission under the requirements of large data volume and high real-time performance is realized.

The invention provides a method and device for optimizing the layout of a digital logic circuit and a storage medium, and the method comprises the steps: dividing a layout diagram of the digital logic circuit into a plurality of cells, each cell comprises a plurality of elements, determining to-be-optimized elements in the cells based on the current layout and an optimization target of the digital logic circuit, and optimizing the layout of the digital logic circuit according to the to-be-optimized elements. The optimization target comprises at least one of a line length target, a congestion target or a density target, obtaining a target density function value according to the target model based on the layout characteristics of the cells, and adjusting the position of the element to be optimized in the cells based on the target density function value so as to optimize the layout of the digital logic circuit. By means of the method, automatic layout optimization of the digital logic circuit can be achieved, labor time and cost are saved, and the performance of a chip is further improved.

The invention provides a photovoltaic power station design system and method based on ecological collaborative optimization, and relates to the technical field of data processing. The system comprises an initial configuration module which is used for generating an initial layout structure of a photovoltaic module, performing energy-saving and consumption-reducing calculation and economic analysis according to generating capacity data, and obtaining initial energy-saving and consumption-reducing data and initial economic analysis data; the secondary optimization module is used for optimizing the parameters of the photovoltaic module based on the economical efficiency analysis data and determining energy-saving and consumption-reducing data and economical efficiency analysis data through the generating capacity optimization data; the ecological evaluation module is used for determining ecological benefit data of the photovoltaic power station according to the ecological influence parameters; and the collaborative optimization module is used for setting a power generation income weight and an ecological benefit weight so as to optimize the photovoltaic module layout structure and generate a photovoltaic power station design scheme based on ecological collaborative optimization. The method is used for realizing collaborative optimization of power generation benefits and ecological benefits of the photovoltaic power station, so that the power station gives consideration to ecological protection while improving the power generation efficiency.

The invention relates to the field of construction planning visualization, in particular to a construction planning visualization method and system for a refuse transfer station. The method comprises the following steps: acquiring a satellite positioning map and a refuse transfer station design drawing of a to-be-developed area; image detail reconstruction is carried out on the satellite positioning map, road space distribution fitting is carried out, and a regional road distribution network is constructed; performing surrounding building positioning calculation on the detail optimization reconstruction satellite image based on a regional road distribution network, performing an optimal site selection decision, and extracting an optimal address region image; carrying out transfer station key feature point identification on the refuse transfer station design drawing, then carrying out three-dimensional point cloud modeling, and constructing a transfer station three-dimensional structure model; and according to the optimal address area image, carrying out corresponding foundation accurate matching on the transfer station three-dimensional structure model, carrying out spatial positioning mapping, and constructing a transfer station address twinborn model. According to the method, the operation efficiency of the transfer station is improved, and the rationality of building planning is enhanced.

The invention discloses a method and device for automatically converting a cross-format document into a Markdown document and a form enhancement method and system. The Markdown document conversion method comprises the following steps: firstly, obtaining a document image; mining hidden structure information from the document image, wherein the hidden structure information comprises target elements and hierarchical relationships among the target elements; performing semantic content analysis on the document image based on the structure information to obtain a semantic content analysis result; extracting key information in the document image according to an analysis result; the key information is converted into a Markdown format, preliminary formatting is carried out in a form or list mode, and a preliminary Markdown form is obtained; and finally, optimizing the preliminary Markdown form to form a target Markdown form, so that the cross-format document is automatically converted into the Markdown. According to the method, a complex nested structure and a form with irregular layout in the document can be effectively identified and converted, and the integrity and readability of form information when the form is converted into the Markdown format are ensured.

The invention discloses a campus monitoring management method and system based on an AI smart campus, a terminal and a medium, and the method comprises the steps: dividing a campus region into a high people flow region and a low people flow region according to the people flow density, and arranging cameras and sensors according to the types of the regions, the monitoring range of each camera is set; performing feature extraction on the data of the camera and the sensor; inputting the extracted features into a recognition model, and recognizing abnormal behaviors; corresponding emergency measures are generated according to the recognition result; the campus area is divided into the high people flow area and the low people flow area, arrangement of the cameras and the sensors is optimized, feature extraction and behavior recognition are carried out on the collected data, real-time abnormal behavior detection and automatic emergency response are achieved, and the efficiency and accuracy of campus safety management are improved.

The invention discloses an imaging method and system based on cosmic ray muon transmission, which are applied to a control mechanism, and the control mechanism is electrically connected with at least one detection module. The imaging method based on cosmic ray muon transmission comprises the steps that the response state of at least one detection module is obtained, the detection module comprises a plurality of sensor units, and the sensor units are arranged in a string shape. And preprocessing the response state to obtain muon flux in unit area, unit time and unit solid angle. Based on the topographic data, the landform data and the muon flux, the density distribution in the muon ray irradiation range is reversely deduced through a preset algorithm. And performing visual imaging based on a density distribution result. According to the method, the working efficiency of muon geological imaging is improved, the system complexity is reduced, the adaptability in a narrow working environment is remarkably enhanced, and an efficient and convenient solution is provided for the fields of geological exploration, engineering detection and the like.

The invention discloses an injection molding process for a plastic part of an air purifier, and relates to the technical field of injection molding processes. Multi-area dynamic mold temperature adjustment is performed, a plurality of temperature control areas are divided according to the thin wall and curved surface structure characteristics of the plastic part, the temperature is adjusted in real time, stress concentration and deformation are remarkably reduced, and the service life of the plastic part is prolonged. The problem of shrinkage stress of a thin-wall area is solved in a targeted mode, cooling of a thick area is accelerated, meanwhile, real-time temperature control and deformation compensation are controlled in a linkage mode, the temperature and the cooling rate are dynamically adjusted according to deformation data monitored in real time, and the deformation trend is predicted, so that pre-deformation compensation is provided, warping of the thin-wall area and the curved surface area is controlled, and deformation of the thin-wall area and the curved surface area is controlled. The stability of the plastic part in the forming process is kept, and the product precision is improved; in addition, simulation prediction and mold parameter adjustment are carried out, cooling requirements of different areas are adjusted, the temperature difference between the thin wall and the curved surface area is reduced, and the whole cooling process is more efficient.

The invention relates to the technical field of industrial automation, in particular to an industrial equipment self-diagnosis system based on algorithm model prediction, and the system comprises a model building module which comprises a historical fault model; the data acquisition module divides a plurality of to-be-detected point locations and acquires and converts vibration signals; the period judgment module performs periodic judgment on the real-time vibration graph, determines that the vibration period is abnormal according to the judgment result and gives an alarm, or analyzes the abnormal condition of the point location; the data analysis module adjusts a preset frequency based on the point location abnormal conditions, or determines an overall abnormal condition based on a plurality of point location abnormal conditions so as to determine a real-time fault degree, and performs fault early warning on a comparison result of the real-time fault degree and a preset fault degree, or adjusts a preset interval; the model comparison module inputs a plurality of pieces of real-time vibration data into a historical fault model and calculates a fault degree difference value; the model calibration module calibrates the historical fault model based on the fault degree difference. According to the invention, the accuracy of the model fault prediction result is improved.

The embodiment of the invention provides an air supply system and an air supply method of an air suspension. The air supply system of the air suspension comprises an air storage tank, a plurality of air springs, an air supply valve body unit, a dryer, a heating element, an electronic control unit and a humidity sensor. The air storage tank is used for storing compressed air; the air spring is used for inputting high-pressure gas to each wheel of the vehicle; the air supply valve body unit comprises a reversing valve; the reversing valve is arranged on an air channel, so that the air supply system is driven to be switched between the air suction mode and the reverse blowing mode through reversing of the reversing valve; the cavity of the dryer is communicated with the air supply valve body unit through an air channel; the heating element is arranged in a cavity of the dryer, the humidity sensor is arranged on the air channel, and the humidity sensor corresponds to the electronic control unit in a signal mode. Therefore, the air supply system of the air suspension has the advantage that the regeneration efficiency of the dryer is improved.

The invention belongs to the technical field of waste resource recycling, and particularly relates to a waste resource recycling plastic product manufacturing and forming device which comprises a base, an injection mechanism used for plastic plasticizing and moving is arranged at the top of the base, and a first feeding hopper is arranged at the top of the injection mechanism; a mold closing mechanism connected with a discharging port of the injection mechanism is arranged at the top of the base and used for conducting pressing molding on molten plastic, a treatment box is arranged at the position, located on one side of the injection mechanism, of the top of the base, and a smashing mechanism used for smashing waste resources is arranged in the treatment box; the two driving crushing cutters are driven by the first motor to synchronously and relatively rotate, and then are matched with the fixed crushing cutter to crush waste plastics; according to the waste plastic crushing and cleaning device, multiple functions of crushing, screening, cleaning, drying and the like can be ingeniously integrated, the crushing effect and efficiency of waste plastic are improved, and the powder cleaning effect and the powder quality are also improved.

The invention provides an electronic device. The electronic equipment comprises a back shell, a decoration assembly, a heating device and a piezoelectric air cooling module. The back shell has a first opening. The decoration assembly is provided with a containing groove, a first air inlet and a first air outlet, the containing groove communicates with the first opening to form a containing space, and the first air inlet and the first air outlet communicate with the containing groove; the heating device is arranged in the accommodating space; the piezoelectric air cooling module is arranged in the containing space and corresponds to the heating device, the piezoelectric air cooling module comprises one or more piezoelectric air cooling assemblies, each piezoelectric air cooling assembly comprises one or more piezoelectric air cooling units, each piezoelectric air cooling unit comprises a vibration part and a piezoelectric part, the piezoelectric parts are borne on the vibration parts, and the piezoelectric parts are arranged on the piezoelectric air cooling units. And the piezoelectric piece is used for deforming under the control of the control signal and driving the vibration piece to deform so as to dissipate heat of the heating device. The thickness of the electronic equipment is small.

The invention provides a geological survey optimization method and system based on big data analysis, and relates to the technical field of data processing, and the method comprises the steps: distributing different cost weights for different regions; constructing an initial cost matrix based on geological characteristics, continuously finely adjusting node cost and calculating an evaluation function value, gradually cooling until a final temperature is reached, and outputting an optimized inter-node cost matrix; by initializing the distance and the access array, unaccessed nodes are continuously selected, the distance corresponding to the adjacent nodes is updated until all the nodes are accessed, and finally the corresponding path from the starting point to the target area is output; a mineral resource evaluation model is established based on multi-source geological data, and geological resource distribution of a whole research area is finally predicted by calculating index contribution, screening key areas, evaluating investigation priorities, selecting sampling points and establishing and optimizing a resource prediction model. The geological survey efficiency and accuracy can be improved.

The utility model provides an energy storage converter and an energy storage system with the same, and the energy storage converter comprises a cabinet which is provided with an accommodation cavity; the plurality of power elements are arranged in the accommodating cavity; the liquid cooling plate is internally provided with a first liquid cooling channel, the first liquid cooling channel is used for circulation of cooling liquid, and the liquid cooling plate can cool the plurality of power elements; the heat exchanger comprises heat exchange fins and a second liquid cooling channel arranged in heat exchange with the heat exchange fins, the second liquid cooling channel is used for circulation of cooling liquid, the heat exchanger cools the multiple power elements through the heat exchange fins, and the first liquid cooling channel and the second liquid cooling channel are communicated or independently arranged. Through the technical scheme provided by the invention, the problem of poor heat dissipation effect of the energy storage converter in the prior art can be solved.

The invention relates to the technical field of automobile parts, in particular to an automobile small table plate structure which comprises a shell, a table top, a table top and a table top cover. The base is connected into the containing groove in a sliding mode in the vertical direction; the table plate assembly is arranged on the base; the lifting assembly comprises a pulley piece, a driving piece and a locking rope, and the pulley piece and the base are both arranged on the shell; the pulley piece is located above the base, and the driving piece is located below the pulley piece. One end of the locking rope is connected with the base or the table plate assembly, the other end of the locking rope bypasses the pulley piece and is connected with the driving piece, and the driving piece is used for winding the locking rope and driving the base to move upwards so as to push the table plate assembly out of the containing groove. The technical problems that an existing small lifting table board adopts a mode that an air cylinder is matched with a push rod structure to drive a table board assembly, the stroke is insufficient, the table board assembly cannot move upwards in place easily, and user experience is affected are solved.

The invention relates to the technical field of RFID chip manufacturing, in particular to an RFID chip image anomaly detection method and system based on intelligent learning. The method comprises the following steps: acquiring a real-time RFID chip sampling image set, performing feature alignment based on a registration template, generating an average grey-scale map by using an alignment image set, and obtaining a chip edge mask image set by using an edge search algorithm; segmenting the edge mask image set of the RFID chip to obtain an effective edge mask variance image set of the RFID chip; integrating the variance image set to obtain a pre-generated variance image; acquiring field environment data of the RFID chip and performing sensitivity coefficient estimation to obtain an edge sensitivity coefficient; and performing convolution filtering smoothing processing on the pre-generated variance image to obtain a chip edge variance image, and constructing an RFID chip image anomaly detection model based on the edge variance image and the average grey-scale image. According to the invention, the detection accuracy and stability are improved.

The invention relates to a user behavior analysis method and device for burglary prevention of mobile equipment in an exhibition hall, and the method comprises the steps: carrying out the collection and preprocessing of Bluetooth signal intensity data, acceleration, angular velocity data, geomagnetic sensor data and ambient light sensor data, and taking the sampling rate of the preprocessed acceleration and angular velocity data as reference time; mapping the preprocessed Bluetooth signal intensity data, geomagnetic sensor data and ambient light sensor data to the same timestamp; constructing a user behavior database according to the defined user behaviors; a user behavior recognition result is obtained through the trained CNN-LSTM hybrid recognition model by means of multi-modal sensor data collected in real time; a comprehensive score is calculated by distributing weights for the user behavior recognition result and the Bluetooth signal strength distance; and judging whether the comprehensive score exceeds a preset threshold, and if the comprehensive score exceeds the preset threshold, triggering an anti-theft alarm. The problems that in an existing mobile phone display anti-theft system, the false alarm rate is high, and a single sensor is prone to being interfered are solved.

The invention relates to the technical field of comprehensive corrosion prevention and pollution prevention of ships, in particular to a marine high-power ultrasonic pipeline pollution prevention device and a control method thereof. The contact type ultrasonic transducer is mounted on the outer wall of the seawater pipeline and is matched with the high-power driving controller, so that high-power ultrasonic waves can be used for repelling, preventing and treating contaminated marine organisms, and attached marine organisms can be removed to a certain extent; the transducer is arranged on the outer wall of a ship seawater pipeline or a valve box in a contact type installation mode and is connected through a profiling base stud to be installed, so that the whole device is convenient to disassemble, assemble, arrange and maintain, and flowing of seawater in the pipeline is not affected; according to the ultrasonic pipeline anti-fouling device, wheel control logic is adopted, automatic adjustment and alternate intermittent operation are achieved by adding the switching circuit, the power consumption and heat production can be effectively controlled while the ship seawater pipeline anti-fouling effect is guaranteed, the reliability of the device is improved, the size of the device is reduced, and the application prospect is wide.

The invention discloses a gas cylinder storage leakage point positioning detection method and system, and the method comprises the steps: building a gas cylinder leakage model under the conditions of no wind and wind, simulating a leakage process through a gas turbulence diffusion model, and introducing a sensor array to detect a gas leakage point; an adaptive filtering algorithm AF is introduced to carry out noise removal on data detected by the sensor array; extracting time difference information hidden in a gas sensor signal by using continuous wavelet transform (CWT) and a modulus maximum value method, judging the position of an optimal leakage point, and obtaining positioning information of a certain time point; a window function is introduced into a Kalman filtering algorithm, multiple sets of positioning information at different time points are obtained through processing of the improved Kalman filtering algorithm, interference of measurement invalid signals not in the range of the window function is filtered out, and the optimal positioning point is estimated. Compared with the prior art, the sensor array is introduced to realize leakage detection and positioning, a window function of a related time point is introduced into Kalman filtering, and the detection accuracy is effectively improved.

The invention relates to the technical field of driving system heat dissipation, and discloses an electric scooter driving system heat dissipation method, device and equipment and a storage medium, and the method comprises the steps: inputting heat source distribution data and spatial constraint data of a driving system in an electric scooter into a two-stage optimization model for heat dissipation structure calculation, and obtaining heat dissipation channel parameters; performing partition sampling and real-time synchronization on the heat source temperature and the radiator temperature to obtain heat flow distribution characteristics; carrying out heat conduction model calculation and multi-region temperature classification to obtain temperature dynamic distribution data, and carrying out heat flow prediction calculation to obtain heat flow prediction data; performing thermal disturbance analysis and adaptive compensation on the heat flow prediction data to obtain a heat dissipation compensation parameter; according to the heat dissipation control method, the problem that the space utilization rate of a traditional heat dissipation scheme is low is solved, and the heat dissipation effect of the driving system is improved.

The invention discloses a mobile terminal multi-size webpage adaptive display method based on a browser viewport, which belongs to the field of browsers and comprises the following steps of: firstly, selecting iPhoneX (375px width) as a reference viewport size; and then, calculating a zoom factor according to the proportion of the viewport width of the current equipment to the reference viewport width, and dynamically adjusting the webpage content. And then, zooming the page root element by using the zooming factor. In order to adapt to screen widths and resolutions of different devices, breakpoints are set, a compact layout is applied to a narrower device, and more blanks and spaces are reserved on a wider device. And finally, recalculating the scaling in real time and updating the page. The method has the beneficial effects that a finer self-adaptive design is realized by dynamically calculating the zoom factor, adjusting the page layout in real time and optimizing display according to the breakpoint of the equipment.

The invention provides a low-frequency power suppression method and system based on power module topology. Obtaining a first transfer function of electromagnetic coupling between the power decoupling branch and the main power loop, and obtaining a target path and target coupling strength of electromagnetic coupling between the power decoupling branch and the main power loop and a transfer characteristic and an influence degree of electromagnetic interference between the power decoupling branch and the main power loop through simulation analysis; and constructing a filter circuit for suppressing electromagnetic interference to adjust and optimize the circuit layout and wiring of the power decoupling branch and the main power loop, and adjusting device parameters until the optimized circuit topology meets a preset power suppression requirement. The problems that parameters such as parasitic inductance and capacitance in circuit design in the prior art are difficult to control, interference of the coupling effect on the circuit cannot be effectively controlled, and the circuit stability is poor are solved. According to the invention, the electromagnetic coupling interference between the power decoupling branch and the main power loop is effectively reduced, and the electromagnetic compatibility of the power module is improved.

The invention relates to the technical field of automobile metal part drilling machining, in particular to an automobile steering knuckle drilling pre-machining machine tool. The automobile steering knuckle machining equipment comprises an installation machine base, a drilling device, a tool clamp and a control system, the drilling device and the tool clamp are installed on the installation machine base and are important components of the equipment, and preprocessing of an automobile steering knuckle is achieved; the control system comprises a hydraulic system, a pneumatic control system, a cutting fluid circulating system, a lubricating system, a chip removal system and an electric control system. The drilling device, the tool clamp, the material pressing device, the control device and other functional components are efficiently matched, the efficiency of automobile steering knuckle drilling pre-machining is remarkably improved, through precise movement of the drilling device, stable fixation of the tool clamp and the material pressing device and continuous lubrication of the lubricating device, high precision of the machining process is guaranteed, and the machining efficiency is improved. The problems of workpiece machining defects, equipment overheating and the like are reduced, and potential safety hazards are reduced.

The invention relates to the technical field of numerical simulation, in particular to a grid model generation method for the fluid displacement process of well cementation engineering. The method comprises the following steps: acquiring geological data of a well cementation project area, and constructing an initial geological model; well cementation engineering design data are obtained, well cementation engineering topological structure modeling is carried out, and a well cementation engineering topological structure model is obtained; according to the initial geologic model and the well cementation engineering topological structure model, fluid dynamic simulation is carried out, and a fluid characteristic matrix is obtained; performing fluid displacement process simulation according to the fluid characteristic matrix to obtain fluid displacement process data; performing fluid displacement process optimization on the well cementation engineering design data based on the fluid displacement process data to obtain optimized fluid displacement process data, and performing resource allocation redistribution on the well cementation engineering design data according to the optimized fluid displacement process data to obtain optimized well cementation engineering design data. According to the invention, the accuracy of fluid displacement simulation can be improved.

The invention provides a digital twin city construction and operation optimization method based on cloud computing and a big data technology. The method comprises the following steps: optimizing layout of various sensor devices through a particle swarm optimization algorithm and an adaptive sampling algorithm, and adjusting acquisition frequency; establishing a distributed database, and realizing uniform distribution and efficient access of data in the distributed database through a load balancing algorithm; mining a time rule of urban operation by using a time sequence model, and discovering association between different data; a city model is constructed by using a city three-dimensional live-action fusion modeling method which takes unmanned aerial vehicle oblique photography as a main part and takes ground laser radar as an auxiliary part, different areas in a city are identified by applying a machine learning method, and a refined model of each field of the city is constructed; real-time simulation of a city operation state is realized through virtual reality and augmented reality technologies; the system is continuously optimized by using an online learning algorithm, so that the system continuously learns and adapts to a new data mode in the operation process, and the construction and operation optimization capability of the system is improved.

The invention relates to a container ship methanol fuel daily cabin arrangement form, and belongs to the technical field of ship design and manufacture, the container ship methanol fuel daily cabin arrangement form comprises a methanol fuel daily cabin and a methanol fuel preparation room, the methanol fuel daily cabin is arranged on one side of an engine room above a main deck, and the methanol fuel preparation room is arranged on one side of an engine room below the main deck; and the methanol fuel daily cabin and the methanol fuel preparation room are adjacently arranged up and down. For a large container ship, the length of a traditional cabin shed is generally about 6 m, and in order to guarantee the volume of the methanol fuel daily cabin, the width of the methanol fuel daily cabin and the height of a top deck can be adjusted according to needs.