2633results about How to "Increase job security" patented technology

The invention discloses an unmanned aerial vehicle group cooperative inspection control method for power station inspection, and the method comprises the steps: determining an unmanned aerial vehicle group according to a power station inspection task; performing task allocation of the heterogeneous unmanned aerial vehicle cluster by using a multi-objective optimization algorithm; performing unmanned aerial vehicle path planning by adopting an improved dynamic multi-population particle swarm algorithm; based on a graph theory and master-slave control, unmanned aerial vehicle group attitude consistency control is realized; integrating a target detection technology based on deep learning, and constructing an inspection anomaly detection model; performing remote fault diagnosis analysis on the real-time inspection data through an inspection anomaly detection model to obtain an inspection anomaly result; optimizing the inspection anomaly detection model according to the target condition of the real-time inspection data; and dynamically controlling task allocation and path planning of the unmanned aerial vehicle group according to an abnormal inspection result. Through the scheme, potential problems can be found and processed in time, the intelligent control level of power station inspection is improved, and the efficiency and accuracy of unmanned aerial vehicle group cooperative inspection are improved.

The invention discloses an unmanned aerial vehicle inspection and power transmission operation control method and system based on path planning. The method comprises the following steps: constructing a three-dimensional environment model of a target area; constructing a total cost function at the cost of distance, weather risk, energy consumption and electromagnetic interference; taking the minimum total cost function as a target, and obtaining an inspection path of the unmanned aerial vehicle in the target area, so that the unmanned aerial vehicle flies based on the inspection path; in the flight process of the unmanned aerial vehicle, the inspection path is corrected in combination with the dynamic obstacle influence factors; the dynamic obstacle influence factor is determined by the distance between the unmanned aerial vehicle and the dynamic obstacle, the speed of the dynamic obstacle and the acceleration of the dynamic obstacle; in the flight process of the unmanned aerial vehicle, the airborne electricity testing device is controlled to measure the line voltage, and the airborne ground wire hanging and dismounting device is controlled to carry out ground wire hanging and dismounting operation according to the measured line voltage. According to the embodiment of the invention, dynamic obstacles encountered by the unmanned aerial vehicle in the flight process can be avoided, and collision is avoided.

The invention discloses a field monitoring method based on engineering informatization, and the method comprises the steps: collecting the tightness data of a rope in real time through a tension sensor integrated on a protection rope, and transmitting the data to a field monitoring system; the method comprises the following steps: acquiring a worker operation picture shot by video monitoring equipment deployed in a construction site, and extracting posture features such as a body inclination angle and arm extension length of a worker in the picture; determining a real-time position coordinate of the worker according to the information of the positioning tag worn by the worker, and judging whether the coordinate is in a preset dangerous area electronic fence or not; according to the distance relation between the connection points of the worker and the protection rope, the swing track of the protection rope and the movement track calculated by the position coordinate change of the worker are analyzed, and whether the worker breaks away from the protection rope illegally or not is judged; if it is judged that the worker is separated from the protection rope, the position of a connection point of the protection rope suspected to fall off is marked in the monitoring picture according to the material characteristic and the color characteristic of the protection rope.

The invention relates to the technical field of bolt mounting equipment, in particular to an angle steel tower bolt perforation mounting method. By means of autonomous navigation of the installation robot and flexible operation of the mechanical arm, rapid positioning and taking-out of bolts and nuts are achieved, and the risk of manual climbing and operation is reduced. Accurate insertion and preliminary positioning of the bolt are ensured through accurate control of the mechanical arm, then the fastening effect is enhanced by combining impact tightening with the intermittent hammering technology, the fit clearance between the angle steel is effectively eliminated, and the bolt is prevented from loosening. The whole process is highly automatic, personal errors are reduced, and the mounting quality and the working safety are improved.

The invention relates to an unmanned intelligent excavator system which is composed of a plurality of functional modules and is characterized in that various sensors and actuators are integrated through a hardware design module to provide basic support for subsequent operation; the environment sensing and positioning module collects three-dimensional point cloud data of an operation area in real time by using a multi-sensor fusion technology, realizes accurate positioning and environment sensing, and transmits the information to the planning module; the planning module formulates a driving route of the excavator and an operation track of the mechanical arm according to the received data, and sends the driving route and the operation track to an upper computer or a mobile terminal through the central control communication module to allow remote monitoring and control; and the lower computer communication module is responsible for transmitting a planned path instruction to an execution mechanism and driving a machine to execute a predetermined task. According to the system, a closed-loop control mode is adopted, high efficiency and safety of the excavator in bulk cargo cabin cleaning and coal stacking operation are guaranteed, and the wide potential of the excavator in future power plants and bulk cargo wharfs is shown.

The invention relates to the technical field of crane work monitoring, and discloses a tower crane visual work monitoring method based on digital twinning, which comprises the following steps: S1, establishing a digital twinning model of a tower crane, the digital twinning model comprises a geometric model, a physical model and an environment model, and the geometric model is constructed through a three-dimensional modeling tool; s2, working state data of the tower crane are collected through a multi-sensor network, and sensors comprise a force sensor, a position sensor, an acceleration sensor and an environment sensor. A three-dimensional dynamic model of the tower crane can be constructed and displayed through a digital twinborn technology and real-time acquisition of multi-sensor data, an operator knows the working state of equipment in real time through the system and obtains intelligent operation suggestions, and if abnormity is detected, the system automatically gives an early warning to prevent the equipment from having faults due to overload, vibration abnormity and other problems, so that the working efficiency of the tower crane is improved. And the working safety of the tower crane is obviously improved.

The invention provides a fumigation control method based on pest and disease damage trend prediction, and the method comprises the steps: carrying out the spectrum analysis of audio data information through employing a fast Fourier transform algorithm, extracting the frequency domain feature vector of the chirp sound of each pest species, and enabling the frequency domain feature vector to comprise a fundamental frequency, harmonic energy distribution, chirp duration and chirp rhythm; according to the extracted chirp frequency domain feature vector, chirps of local main agricultural pests are identified and classified by adopting a support vector machine algorithm, and the types and life cycle information of the pests are judged by matching with a preset pest species chirp feature template library; and performing spatial mapping on the predicted population density distribution data by adopting a Kriging interpolation algorithm to generate a spatial distribution diagram, determining the aggregation degree and diffusion trend of pests in each region of the field, and dividing a plurality of prevention and control regions and buffer regions.

The invention relates to the technical field of bulkhead cleaning, in particular to a bulkhead cleaning method. Firstly, the moving path of the cleaning robot is planned according to the bulkhead structure, and the comprehensiveness and efficiency of cleaning are ensured. Next, actual cleaning operation is carried out on the selected test section, the step not only debugs cleaning parameters, but also ensures that the parameters can meet specific cleaning requirements, and therefore the cleaning quality is improved. Most prominently, the time required for cleaning the whole bulkhead can be accurately calculated according to the current cleaning requirements and the determined cleaning parameters, and the cleaning task can be efficiently completed within the preset time. The precise time management capability enables the cleaning work to be more orderly and controllable, and provides powerful data support for subsequent cleaning plans at the same time. Therefore, the bulkhead cleaning method is excellent in the aspects of improving the cleaning efficiency, ensuring the cleaning quality and optimizing the time management.

The invention relates to the technical field of fault monitoring, in particular to a numerical control machine tool fault intelligent monitoring system, which comprises a machine tool data acquisition module used for acquiring operation data and acoustic emission data of a numerical control machine tool; the power analysis module is used for analyzing the consumption state of the spindle motor and adjusting the analysis process; the sound signal analysis module is used for constructing a sound energy abnormal coefficient; the temperature monitoring module is used for constructing a temperature anomaly coefficient according to the cutting area temperature collected in the monitoring period; the risk early warning module is used for analyzing the tool wear state according to the construction result of the motor consumption index, the sound energy abnormal coefficient and the temperature abnormal coefficient in the risk monitoring period and carrying out tool wear risk early warning on a user; the roughness analysis module is used for analyzing the surface quality state of the workpiece; and the control module is used for controlling the feeding speed of the next quality monitoring period. The fault monitoring efficiency of the numerical control machine tool is improved.

The invention relates to the technical field of automatic robots, in particular to a photovoltaic module grabbing method based on point cloud and RGBD images. According to the method, the position of the photovoltaic panel is recognized in a two-step walking mode, and a mechanical arm is guided to automatically grab and place the photovoltaic panel. And the automation level, precision and efficiency of photovoltaic module installation are improved. By combining the high-precision space information of the point cloud data and the color and depth information of the RGBD image, the photovoltaic module can be quickly identified, positioned and accurately grabbed, so that the manual intervention is reduced, and the safety and reliability of the installation process are improved.

The invention discloses a limited space operation intelligent monitoring system based on multi-sensor fusion, and relates to the technical field of intelligent monitoring. Compared with a previous intelligent monitoring system, the system solves the problems that the space limitation degree and the environment complexity in a limited space are relatively high, and the operation safety risk is relatively high; a traditional monitoring method carries out monitoring based on a single sensor and lacks real-time performance and accuracy. The condition in a limited space is sensed and monitored in real time by fusing data of various sensors, so that the operation safety and the normal operation of equipment are ensured; intelligent mobile equipment is also integrated, so that the position and the state of an operator in a limited space can be accurately determined in real time; behavior recognition is carried out on people, vehicles, non-motor vehicles and the like through a behavior detection method, corresponding alarm and enhanced management are carried out, and the operation safety is further improved; and remote real-time monitoring of limited space operation is realized in combination with the Internet of Things technology, and all-around safety guarantee is provided for the limited space operation.

The invention discloses a crew workload evaluation method and system based on multi-source data fusion, and the method comprises the steps: 1, carrying out the collection of multi-source data, and enabling the multi-source data to comprise objective data and sensory monitoring data; 2, performing feature extraction on the multi-source data; 3, based on the physiological data and the sensory monitoring data, performing feature layer fusion and decision-making layer fusion; and step 4, visualizing the workload evaluation result to present the real-time workload level of the sailors, and when the workload index exceeds a preset threshold value, triggering an early warning prompt to remind the sailors and managers to pay attention to the fatigue risk. According to the method, multi-source heterogeneous data are comprehensively utilized, comprehensive and accurate evaluation and real-time visual presentation of the load state of the sailors are achieved, an effective early warning mechanism is constructed, and the method has important application value in the aspect of improving the working safety and the working efficiency of the sailors.

The invention belongs to the technical field of polishing robots, and discloses a small workpiece polishing robot production system, and hardware in the system is composed of a conveying device, a first roller way conveying material frame, a workpiece, a feeding photographing recognition camera, a first mechanical arm, a scanning table photographing recognition camera, an abrasive belt side face polishing platform, a second mechanical arm, a double-sided chamfering machine and a first roller way conveying material frame. The device comprises a grinding abrasive belt, a control cabinet, an electric box, a working platform, a tool clamp and a safe and environment-friendly facility. A workpiece is finely ground through the grinding abrasive belt, the grinding abrasive belt can adjust the contact strength between the grinding abrasive belt and the workpiece, the problem that grinding cannot be continued due to abrasion is effectively avoided, the working efficiency of the whole grinding device is remarkably improved, the opportunity that workers make contact with the dangerous environment is reduced through robot operation, and the labor intensity of workers is reduced. And replacement and adjustment can be carried out according to different workpiece shapes and grinding requirements, and various production requirements can be flexibly met.

The laminated slab construction hoisting device comprises a hoisting frame, the hoisting frame comprises two longitudinal beams arranged in parallel and two transverse beams arranged in parallel, and the two transverse beams are fixed between the two longitudinal beams to form a rectangular frame matched with a laminated slab unit in size; a lifting device and a positioning device are installed on the lifting frame, the lifting device is installed on the opposite sides of the two longitudinal beams, the lifting device comprises a winding assembly and lifting assemblies, the lifting assemblies are symmetrically arranged on the two sides of the winding assembly, the winding assembly is provided with two output ends, and the two output ends are connected with the positioning device. The lifting assemblies on the two sides are driven by the output ends of the two sides of the winding assembly correspondingly, the positioning device is used for positioning the position of the laminated slab, the laminated slab is kept stable in the lifting process, collision and damage caused by shaking are avoided, and the working efficiency is improved. And through stable hoisting and accurate positioning, the risks of shaking and collision of the laminated slab in the hoisting and mounting process are reduced, and the operation safety is improved.

The invention belongs to the technical field of tugs, and provides an intelligent energy management system of a hybrid power tug, comprising: a sensor for collecting energy consumption and generation conditions of the tug, including measuring battery voltage, current and temperature, and measuring ship speed, acceleration and direction; the data acquisition module is used for transmitting the data collected by the sensor to the processing unit in a digital form and has data synchronization and timestamp functions; the processing unit is used for automatically selecting an optimal operation mode according to the collected data and a preset algorithm; by integrating a plurality of sensors, the energy consumption and generation conditions of the tug can be monitored in real time, including key parameters such as battery voltage, current and temperature and speed and direction of a ship, the data are analyzed through a data processing algorithm, the algorithm adopts an advanced mathematical model and a machine learning technology, and the energy demand can be accurately calculated. And an energy distribution strategy is dynamically adjusted according to actual operation requirements.

The embodiment of the utility model provides a support structure of a floating type photovoltaic power generation system. The support structure comprises a floating assembly, a supporting assembly and a breeding assembly. The floating assembly comprises a floating pipe and a floating box; the supporting assembly comprises an erecting unit, the erecting unit comprises a first supporting rod and a connecting cable, a photovoltaic panel is installed on the connecting cable, the first supporting rod is installed on the buoyancy tank, the first supporting rod supports the connecting cable, so that the connecting cable can form pre-tightening force, the distance formed between the bottom face of the connecting cable and the water surface is d, and the requirement that d is larger than or equal to 1.2 m and smaller than or equal to 2.3 m is met; the connecting cable is erected through the arranged first supporting rod, the distance between the connecting cable and the water surface is d, and d is larger than or equal to 1.2 m and smaller than or equal to 2.3 m, so that a sufficient activity space can be reserved between the photovoltaic panel and the floating pipe, the overall gravity center of the support structure can be properly lowered, and working efficiency and safety are improved.

The invention belongs to ocean engineering, and discloses a seabed multifunctional freely-adjustable crawler belt which comprises a main frame, at least one pair of telescopic oil cylinders, at least one pair of outer supporting legs, at least one pair of inner supporting legs, at least one connecting rod, at least one overturning oil cylinder and at least one overturning oil cylinder connecting weldment. Wherein the main frame is hinged with the telescopic oil cylinder, the outer supporting leg and the inner supporting leg through pin shafts; the connecting rod is provided with at least three reamed holes which are respectively connected with the crawler belt assembly, the outer supporting leg and the inner supporting leg through bolts; the overturning oil cylinder is mounted on the crawler beam through the overturning oil cylinder connecting weldment and is connected with the connecting rod through the bolt; according to the invention, flexible adjustment of the crawler belt in multiple directions is realized. Particularly, due to the synergistic effect of the telescopic oil cylinder and the overturning oil cylinder, the width and height of the crawler belt can be adjusted under different terrain conditions, obstacles can be overcome through the rotating action, meanwhile, the equipment can better adapt to the complex and changeable seabed environment, and the operation efficiency and safety are improved.

The invention provides an automatic management system and method for a steel plate warehouse area, and relates to the technical field of industrial automation and intelligent warehousing, and the system comprises a steel plate recognition warehousing module, a warehouse area division module, an informatization warehousing module, an automatic crane and a warehouse management system. Through an efficient automation technology and an intelligent management strategy, the operation efficiency and the storage utilization rate of a steel plate storage area are remarkably improved, the deflection problem caused by mixed storage of steel plates of multiple specifications is effectively avoided, accurate carrying is achieved, manual intervention is reduced, and the system is widely applied to the fields such as shipyards and steel mills with complex steel plate management requirements and has high popularization value. And the production efficiency and the operation safety are comprehensively improved.

According to the black light wet process laboratory intelligent operation system and the intelligent operation method provided by the invention, the system comprises the order arrangement system and the scheduling system, an experimenter only needs to prepare and take materials, other operations are all executed by the order arrangement system, the scheduling system and the experiment robot, so that manpower is liberated to a great extent, and the working efficiency is improved. Therefore, experimenters can put more energy into scientific research work, and the operation safety of the experimenters is improved. Compared with manual scheduling and manual experiments, the scheduling method and system not only can perform efficient scheduling through the scheduling system, but also can cope with flexible and changeable process scenes in a mode of modifying related algorithms, and can also guarantee efficient utilization, stability and safety of equipment.

The invention discloses an underwater robot self-adaptive control system and method based on data analysis, and relates to the technical field of automatic control. Environment data and underwater robot data in the operation process of an underwater robot are collected, an operation data set S is constructed, feature extraction is performed, and the operation data set S is obtained; the method comprises the following steps: acquiring an acceleration fluctuation coefficient # imgabs0 # and an attitude angular rate fluctuation coefficient # imgabs1 #, summarizing and calculating to obtain a stability score WD, evaluating the operation state of the underwater robot, predicting water flow data at a future time point t + k when the operation state of the underwater robot is abnormal, acquiring an underwater robot adjustment thrust # imgabs2 # in combination with a robot dynamic model, and using a genetic algorithm to calculate the operation state of the underwater robot. According to the method, the optimal thrust distribution scheme of the underwater robot is obtained, the underwater robot is controlled to execute the operation task, strong turbulence and water flow reversing can be effectively handled, the operation failure and damage risk of the underwater robot are reduced, and the operation stability and safety of the underwater robot are improved.

The invention relates to an emergency response and repair method for an underwater pipeline route. The emergency response and repair method comprises the following steps that S1, firstly, a detection device is placed into a pipeline in the flowing direction of a fluid medium; s2, starting a measuring instrument of the head mechanism, carrying out data fusion, and transmitting the data to a control center of the head mechanism in real time; s3, opening a fan plate, and then starting propellers on the head mechanism and the propelling mechanism: the two mechanisms work together to realize the swimming and steering movement of the detection device in the pipeline, and detecting the condition in the pipeline by using a sensor; s4, when the head mechanism detects that the flow velocity in the pipeline changes suddenly, taking back the fan plate, closing the spiral propeller and the axial spiral propeller, and starting the descending spiral propeller to enable the detection device to be attached to the inner wall of the pipeline; s5, the crawling mechanism drives the detection device to creep; s6, when the flow velocity trend is changed from rising to falling, the device is fixed to the inner wall of the pipeline; s7, the repairing mechanism works; and S8, starting the monitoring ring. The pipeline can be detected and repaired autonomously, efficiently and automatically.

The invention belongs to the field of water turbine in-place robot automatic grinding and machining, and particularly provides a water turbine runner chamber inner wall in-place robot automatic grinding method based on three-dimensional measurement, which comprises the following steps: setting the circumferential width of a single grinding area, dividing the surface of the inner wall into a plurality of grinding areas, arranging identification bodies at equal intervals, the positions and postures of the moving trolley and the mechanical arm in each area are calculated; the mobile trolley and the mechanical arm are controlled to carry out scanning measurement of a single area, measurement data are simplified, geometric features of the identification body are extracted, and a coordinate system is established at the identification body; according to the measuring point cloud data, a polishing track is calculated and generated; and the operation is repeated to obtain the grinding tracks of all the grinding areas, then according to mutual conversion of the identification body coordinate systems in the areas, the tracks of the two adjacent grinding areas are spliced, and the robot conducts grinding according to the spliced grinding tracks. The method realizes large-breadth polishing and repairing operation on the inner wall of the water turbine, and improves the maintenance efficiency of the water turbine.

The invention relates to a traction type pipeline emergency repair mobile platform which comprises a head mechanism, a propelling mechanism, a crawling mechanism and a repairing mechanism which are sequentially connected through universal couplings and connecting pipes. The head mechanism is in a bionic snake head shape, and a main body part is a head cabin with a detection function; the propelling mechanism integrally comprises a propelling cabin and a spiral propeller; the crawling mechanism is in a bionic caterpillar shape and comprises a crawling front cabin, a connecting hose and a crawling rear cabin, the crawling front cabin, the connecting hose and the crawling rear cabin wrap an internally communicated space structure, and a crawling frame is arranged in the space structure; the front crawling cabin and the rear crawling cabin are provided with self-control adsorbers; one end of a breakable cable box is connected with a connecting disc, the other end of the breakable cable box is connected with the front end of a front fitting block, an electromagnet is arranged at the rear end of the front fitting block and connected to a telescopic cable box, the other end of the telescopic cable box is connected with a rear fitting block, an electromagnet is arranged at the front end of the rear fitting block, an umbrella stand structure is arranged in the rear fitting block, and the rear end of the rear fitting block is connected with a monitoring ring. The pipeline can be automatically detected and repaired.

The invention discloses an automatic verification device and method for a weighing coal feeder device. The automatic verification device comprises a weight calibration system, a weight verification control system, a sensor calibration system and a weighing coal feeder. According to the invention, the weight of the standard weight most suitable for the current calibration requirement is dynamically calculated and selected through the weight calibration system based on historical data, environmental parameters and the like of the weighing sensor, so that the calibration precision and flexibility are greatly improved, and variable working condition requirements can be met; according to the invention, an automatic weight verification control system is designed, horizontal displacement, lifting adjustment and state switching of the weight are realized, and the calibration process is fully automatic; the output data of the sensor are collected in real time through the sensor calibration system, dynamic correction is carried out in combination with multiple times of weighing error calculation and historical data, drift and error trends of the weighing sensor are analyzed in real time in combination with parameters such as temperature, humidity and vibration, and error correction values are generated, so that the accuracy of weighing data is ensured.

The invention discloses a near-electricity safety early warning method, device, equipment and medium for electric power constructors, and relates to the technical field of electric power safety operation, and the method comprises the steps: collecting an electric power construction image, and carrying out the correction, so as to eliminate the distortion of a camera. And marking bounding boxes of all the electrified equipment on the corrected image, and recording coordinates of the electrified equipment. And inputting the corrected image into a pre-trained operator identification model, identifying an operator, and marking a bounding box of the operator. And based on the bounding box of the live-line equipment and the bounding box of the operator, calculating the nearest distance between the target live-line equipment and the operator, and if the distance is too close, giving an alarm. The problems of inaccurate detection, complex early-stage modeling, equipment interference risk, limitation of two-dimensional distance calculation and the like existing in a traditional near-electricity monitoring method are solved, and the safety and monitoring precision of substation operators are improved by introducing a new algorithm and technology.

The invention discloses a cotton yarn stretching testing device, and belongs to the technical field of cotton yarn stretching testing devices, the cotton yarn stretching testing device comprises a stretching tester, the upper surface of the stretching tester is fixedly connected with a support frame, and the side surface of the support frame and the upper surface of the stretching tester are provided with clamp pieces; the humidity protection pipe is arranged on the outer surface of the supporting frame, and the outer surface of the supporting frame is fixedly connected with an electric push rod. Meanwhile, cold air can be blown into the sealed protective cover through an air cooler, a cold air pipe, a connecting pipe and an air outlet pipe to create a cold and wet environment, a temperature and humidity sensor can monitor the temperature in the protective cover in real time, and the limitation that a traditional cotton yarn can only be subjected to a stretching test under the dry condition is avoided; it is ensured that the test result is closer to the actual application environment, accurate control over the humidity and temperature of the test environment is achieved, and the stretching test of the cotton yarn under different cold air and humidity climates can be simulated.

The utility model belongs to the technical field of carbon molecular sieve production equipment, and discloses a flower mud material crushing conveyor line which comprises crushing equipment, a bottom belt conveyor, an inclined lifting belt conveyor and a vibrating screen, a sunken main pit is formed in the workshop ground of a flower mud crushing station, the crushing equipment is installed in the main pit, and the inclined lifting belt conveyor is installed in the main pit. A feeding hopper of the crushing equipment is removed towards the outer side wall, and the bottom of the feeding hopper is connected through a horizontal steel plate, extends and is connected to the workshop ground in a lap joint mode. The bottom belt conveyor is horizontally connected below a discharge port of the crushing equipment, the bottom end of the inclined lifting belt conveyor is connected at the discharge end of the bottom belt conveyor, and the high end of the inclined lifting belt conveyor inputs crushed flower mud materials to a feed port of the vibrating screen. According to the flower mud material crushing conveying line, crushing equipment is installed in a pit mode, the feeding difficulty is lowered, and the operation safety is improved.

The invention relates to the technical field of liquid ammonia liquid level meters, in particular to a liquid ammonia liquid level meter capable of automatically cleaning impurities and a method thereof.The liquid ammonia liquid level meter comprises a sampling pipe and a floating ball liquid level sensor installed in the sampling pipe, the floating ball liquid level sensor is used for detecting the position of a floating ball and the height of the liquid level, and the floating ball liquid level sensor transmits detection data to a processor; a heat tracing pipe is arranged on the outer wall of the sampling pipe, a flow meter for introducing inert gas is arranged at the upper end of the sampling pipe, and a blow-down valve is arranged at the lower end of the sampling pipe. Whether the floating ball is stuck or not is judged by automatically detecting the position of the floating ball, then cleaning is achieved by heating and nitrogen introduction for purging under the condition that the floating ball is stuck, and due to the integrated automation technology, the accuracy of liquid level measurement of liquid ammonia and the stability of the system are remarkably improved. According to the device, impurities attached to the liquid level meter can be removed in time, the floating ball is prevented from being jammed, and accuracy and reliability of liquid level measurement data are ensured.

The invention belongs to the technical field of fiber size measurement, and particularly relates to a method for measuring the length of fibers in a fiber reinforced thermoplastic composite material. Mixing and diluting the fiber reinforced thermoplastic composite material and thermoplastic resin to obtain a diluted material, pressing the diluted material to obtain a test sample strip, cutting the test sample strip into a sample wafer, and measuring the length of the fiber in the sample wafer under an optical microscope; wherein the fiber reinforced thermoplastic composite material is prepared from matrix resin and reinforced fibers, and the matrix resin is the same as thermoplastic resin. According to the invention, the problems of poor measurement result accuracy and reproducibility and low measurement efficiency of the existing fiber length measurement method for the fiber reinforced thermoplastic composite material are solved.

The invention discloses an automatic oil pipe transfer system and method, and belongs to the technical field of oil automation under-pressure workover pipe column transfer, the system comprises a pipe bin, a storing and taking manipulator, a variable-amplitude arm, a lifting manipulator and a control system, and the pipe bin, the storing and taking manipulator, the variable-amplitude arm and the lifting manipulator are all connected with the control system. Supporting legs of the pipe bin are adjusted, so that the oil pipe column can roll to a pipe column baffle; the control system starts a lifting mechanism of the storing and taking manipulator, and the oil pipe column is transferred between the pipe bin and the variable-amplitude arm; the variable-amplitude arm is converted from a horizontal state to a vertical state under the driving of the displacement device, the variable-amplitude arm and a second manipulator of the lifting manipulator are connected with an oil pipe string, the lifting manipulator is vertically lifted to a preset position under the driving of the lifting mechanism, and the lifting manipulator is driven by the horizontal rotation driving mechanism to complete horizontal rotation and transfer the oil pipe string to a wellhead; according to the invention, operators can be liberated from a high-altitude operation platform, the safety risk in the operation process is reduced, and the operation accuracy is improved.