DESIGN AND EXPERIMENT OF A NEW ROTARY COATING MACHINE BASED ON LabVIEW

In view of the problems of long coating time, complicated manual operation, high multi-seed rate of coated seeds, low qualified rate, and low degree of automation of control equipment in traditional rotary coating machine, a new type of rotary coating machine was designed while using LabVIEW with a complete electric control system, which can effectively improve the speed and quality of coating. The system uses single-chip microcomputer as the lower computer, LabVIEW as the upper computer, and uses programming electronic control technology to set seed coating parameters in advance, precisely control each part and achieve precise supply. Batch supply of powder and liquid greatly improves the automation and intelligence of the operating system, improves the coating efficiency, reduces the multi-seed rate and the seedless rate, and increases the coating pass rate. In order to improve the coating quality and the supply accuracy of the coating machine, the error analysis and calibration test of the seed supply system, powder supply system and liquid supply system were carried out. After the test verification, the supply error was controlled within 2% to meet the demand for precise supply. The test results show that the pass rate of the seeds coated by the new rotary coating machine is increased by 15% to 20% compared with the seeds coated by the traditional manual coating.

Wireless Pressure Sensor Assisted Orthopedic Nursing Effectiveness Evaluation

This paper combines flexible pressure sensing technology, wireless sensor network, and cloud platform technology to design and manufacture a medical miniature pressure sensor and its supporting system. The problem of noninvasive monitoring of the syndrome encountered in the clinic is used for real-time monitoring and auxiliary diagnosis of the disease. Different from the current clinical use of “puncture” to measure intrafascial pressure, this system focuses on the noninvasive monitoring of compartment syndrome, using medical tape to paste a flexible microsensing unit on the injured area. The flexible sensor unit can measure the pressure here in real time and then can know the pressure in the fascia chamber. The flexible pressure sensor unit combines with the subsequent flexible circuit to send the measured data to the data in real time through wireless communication. The data aggregation node transmits the collected data to the upper computer through serial communication, and the upper computer software processes and stores the data and uploads it to the cloud server. In this experiment, it was observed that the concentrations of Ca and P showed the same fluctuating trend. With the gradual progress of the stretch, the concentrations of Ca and P increased with the increase in time, reaching approximately at the end of the extension. The peak value indicates that the osteoclast activity is enhanced at this time, the bone matrix is largely destroyed, and the Ca and P in the matrix are released into the serum in a large amount, thereby increasing the serum concentration. After the distraction ceases, it enters the healing period of the callus. At this time, the concentrations of Ca and P decrease with the increase in time and gradually reach a stable level, indicating that the osteoblast activity is enhanced at this time, the bone matrix begins to rebuild, and the Ca and P gradually increase. The deposited bone matrix gradually forms new bone and finally reaches a balance. Since the speed of extension in each experimental group is inconsistent, the time required to reach the same extension length is also inconsistent, so that the peak time is also inconsistent. After plotting the stress difference ( △ F ) before and after stretching against time and speed, it is found that the relationship is linear. However, these two variables affect △ F at the same time, so they cannot be isolated. Based on this, this subject uses multiple regression equations to fit the three relationships of stress difference ( △ F ), time, and speed. In the process of distraction osteogenesis, with each distraction, the bone stress presents a trend from high to low. And as the stretch progresses, the measured stress value increases linearly at the same time point every day.

Design and Performance Simulation of Computer Control System for Automatic Monitoring of Upper Computer Communication Operation State

The upper computer communication operation state automatic monitoring system is mainly used to remotely monitor the equipment, obtain various parameter indexes in the operation process of remote equipment, realize remote monitoring and fault diagnosis, and improve the management efficiency of decentralized equipment. This paper completes the design of communication, data storage, query, and other subsystems of upper and lower computers. The lower computer establishes a data channel with the OPC server through the MPI protocol and uploads the collected data to the OPC server in real time. The upper computer reads the data through the OPC server and displays the changes of monitored parameters in real time through the monitoring interface, so as to give an alarm under abnormal conditions. In addition, since the default database of Kingview is access, considering that the Microsoft Access database can store up to 2G of content, in order to upgrade and expand the subsequent system, SQL Server database is selected for data query, backup, and saving. The parameter setting method of communication control system is analyzed, the simulation model of industrial boiler control system is established by using Matlab/Simulink, and the interface between host computer software (IBCCS-e) and the model is provided. This paper analyzes the results of communication parameter adjustment. The simulation results show that the industrial boiler computer control system (IBCCS) has stable performance, low cost, convenient operation, and good maintainability. After further improvement, it has certain application value in the operation transformation of new small- and medium-sized boilers and original boilers.

Design of Refrigeration Control System for Parallel Refrigerator Unit Based on PLC

In order to improve the refrigeration control efficiency and reduce the temperature fluctuation in the cold storage. In this paper, the refrigeration control system of the parallel unit of the cold storage is designed based on the upper and lower computers. The lower computer uses PLC to monitor the field parameters and control the execution of the field equipment. The upper computer uses HMI to realize the real-time monitoring, parameter display and alarm function during the operation of the cold storage, and uses the slide valve to adjust the energy of the compressor. The results show that the control system runs reliably and meets the control requirements of large cold storage.

Design and Research of High Precision Dynamic Torque Measurement System

In this paper, through the FPGA technology and torque measurement system design method for analysis and research, through the use of photoelectric coding circurling measurement function and the difference between the multi-channel code disk torque measurement. In this paper, the characteristics and state of the output signal of the multi-channel code tray are classified, and the principle of torque measurement is analyzed and studied. In this paper, the logic control, data statistics, latch and other contents involved in hardware FPGA technology are analyzed and studied, so as to effectively simplify the system circuit. When the counting data, status signal and other contents are uploaded to the master computer for processing, it is convenient to monitor the vibration of torque signal in real time. By using the upper computer part of the virtual instrument to receive the relevant data of the microcontroller, so as to store, call and process the data, it not only improves the intelligence of the system, but also reduces the use cost of hardware resources.

Development of GIS Switch State Judgment System Based on Image Recognition

Aiming at the fast opening and closing speed of the GIS isolation/grounding switch, manual observation is more difficult, so it is difficult to judge the current switch status. This paper proposes an OpenCV-based image identification algorithm to identify the position of the switch movable contact during the opening and closing process of the isolating switch, thereby judging the state of the isolating switch. This system uses Raspberry Pi as the main hardware core, the server drives the CMOS camera through Raspberry Pi 4B, collects image information in the GIS optical observation window, and performs simple processing, and transmits it to the Raspberry Pi 4B based on the UDP protocol as the main core. In the upper computer and adopt the target detection algorithm based on OpenCV to track the current isolation/grounding switch contact position and determine the current opening and closing state.

Design of Commodity Settlement System Based on Deep Learning

In order to solve the problem that the salesmen need to scan the bar code of commodity price one by one in supermarket settlement system, a commodity settlement system is proposed. The system hardware includes smart phone, PC and LCD. The image information is obtained after the smart phone scans goods, then the acquired image is uploaded to the upper computer, which identifies commodity and obtains the unit price of goods through the image, finally, the payment QR code is displayed on the LCD screen. Without scanning the cods again at the checkout counter, the payment could be accomplished in a manner that saved time and manpower cost.

NB-IoT based method for monitoring the tilt status of transmission towers

The current monitoring of transmission tower tilt status mainly uses a combination of manual and sensor data collection, which not only has low monitoring efficiency and high cost, but also makes it difficult to guarantee the monitoring accuracy. In response to the problems of the above research, the NB-IoT-based transmission pole tower tilt state monitoring method will be studied. Six-axis attitude sensor GY-521, wind sensor and tension sensor are used to collect the pole tower status data. The NB-IoT network is designed to transmit the noise reduction processed data to the base station, which is transmitted to the upper computer. The data is analyzed in the upper computer using LSTM network to get the monitoring results of the tilt status of the pole tower. The experimental results show that the maximum root mean square error of the proposed monitoring method is only 0.02701, which is much smaller than the comparison method, and the monitoring efficiency is high and the performance is more suitable for practical applications.

An Underwater Thruster Fault Diagnosis Simulator and Thrust Calculation Method Based on Fault Clustering

In order to study the fault diagnosis method of small underwater thruster, an experimental device for fault diagnosis of underwater thruster is designed, and a controller hardware and monitoring software of upper computer and lower computer are developed to realize the acquisition and storage of parameters for underwater propeller. The experimental device can simulate four kinds of thruster faults, collect the hydrophone data, classify the fault types by fault clustering analysis, analyze the spectrum of four types of faults, and calculate the thrust under different fault conditions based on the results of spectrum analysis. The experimental results show that the experimental system effectively simulates different faults of the thruster, and the analysis method realizes the classification of different faults. The thrust loss of different faults is also calculated based on the analysis method.