Belt Conveyor Speed Research Articles

Belt conveyor speed detection based on fiber-optic Sagnac interferometer vibration sensor

With their long transportation distance and high productivity, belt conveyors are characterized as the main equipment for bulk material transportation in coal mines and other key industries. However, its speed detection method has always been an engineering challenge under harsh working conditions. In this work, the elastic-optical effect of the polarization-maintaining fiber is used to design a fiber ring laser vibration sensing system based on a fiber-optic Sagnac interferometer vibration sensor and its packaging structure. The vibration detection is achieved by detecting the change in optical power at the working wavelength, and the belt conveyor speed measurement is completed by detecting the vibration frequency. With such a method, the belt conveyor speed measurement obtained a relative error of less than 1.88%. The proposed method bears the characteristics of anti-electromagnetic interference, intrinsic explosion-proof, and adapts to the harsh smoke and dust working environment, which has a wide range of application prospects in the fields of engineering, machinery, security, etc.

Synthesis of regulators of the belt conveyor speed control system

Synthesis of regulators of the belt conveyor speed control system

Kajian Perolehan Hasil Bijih Timah Berdasarkan Ukuran Butir Terhadap Variabel Magnetic Separator Skala Laboratorium

Industrial-scale Magnetic Separator is used to process tin ore by separating magnetic and nonmagnetic minerals using a belt conveyor speed and splitter opening only one variation. Based on this, this research is intended to obtain a more varied and optimal combination of variable settings in the recovery of tin ore yields. The method used is quantitative data analysis method by obtaining nonmagnetic minerals using a combination of splitter openings and belt conveyor speed based on grain size, calculating the content of tin ore in non-magnetic minerals using the Grain Counting Analysis method and calculating the composition of tin ore recovery. The research was conducted based on grain sizes of 60 mesh, 80 mesh, and 120 mesh using a combination of splitter opening sizes of 0.2 cm, 0.4 cm, and 0.6 cm and using a belt conveyor speed of 27.12 cm/s, 28.15 cm/s, and 28.40 cm/s. The sample used for each grain size is 9,000 grams with repetition for each combination of variables, namely 30 times. The results of this study obtained the highest yield of tin ore at grain size of 80 mesh as much as 1,753.7 grams in 8,920.3 grams of non-magnetic minerals with tin ore grades of 19.66% using a combination of speed 27.12 cm/s and splitter opening 0.2 cm. Based on the results of the study, the tin ore contained in the non-magnetic material processed by the Magnetic Separator, the grain size of 80 mesh is higher than that contained in the grain size of 60 mesh, while the grain size is finer than 80 mesh, the lower the recovery of tin ore contained in the non-magnetic material. Meanwhile, the larger the splitter opening and the speed of the conveyor belt, the higher the nonmagnetic minerals obtained.

Kontrola brzine višepogonskih trakastih transportera velikih snaga

Belt conveyors play a very important role in the continuous transport o f bulk and piece material, especially in the mining industry. However, the use o f belt conveyors results in high electricity consumption. A reduction in the power consumption can be achieved by adjusting the speed o f the belt conveyor to match the material flow. However, inappropriate and frequent speed changes can cause serious damage to the conveyor elements. This paper presents a procedure for adjusting the belt conveyor speed to match the profile o f the material on the belt, as well as a detailed procedure for determining the time needed to accelerate/decelerate the belt conveyor. The research was performed on an actual 640 m long belt conveyor used for transport o f overburden at the surface mine Drmno (Serbia). The simulation results show that the speed regulation is completely justified because the conveyor operated at speeds lower than nominal throughout the testing.

Efficient setup of the belt conveyor speed through of templates

It is not obvious to adjust the speed of a conveyor belt so that it is possible to optimize the transport for each piece conveyed even with various studies presented in this area. The complex methodologies that are shown and the many adaptations indicated in these studies may contribute to the low adoption of these configurations. A study made, in this work, from videos of advertisements showing belt conveyor in operating on the factory floor which presented only 44% efficiency. In this work, it was shown, through theoretical studies, a mathematical model that presents the relationship between the speed and the transport capacity of conveyor belts. Based on a model, a graphical method (using templates) has been proposed that helps in choosing the conveyor belt speed for most efficient configurations that can be identified and adopted simply and without many adaptations to the system as a whole.

НЕПРЕРЫВНОЕ РЕГУЛИРОВАНИЕ СКОРОСТИ ЛЕНТОЧНОГО КОНВЕЙЕРА В СЛУЧАЕ УСЕЧЕННОЙ СПЕКТРАЛЬНОЙ ПЛОТНОСТИ ГРУЗОПОТОКА

НЕПРЕРЫВНОЕ РЕГУЛИРОВАНИЕ СКОРОСТИ ЛЕНТОЧНОГО КОНВЕЙЕРА В СЛУЧАЕ УСЕЧЕННОЙ СПЕКТРАЛЬНОЙ ПЛОТНОСТИ ГРУЗОПОТОКА

Design of Belt Conveyor Speed Control System of “Internet+”

In this paper, a belt conveyor speed control system based on “Internet +” is designed by using the embedded web and single-chip microcomputer. By monitoring the running state of the belt conveyor, adjusting the speed between the two stages of the belt conveyor, real-time monitoring of the speed between the two stages of the belt conveyor, and two levels of the difference between the speeds is used as the input parameter of the speed control PID algorithm to achieve a smooth transition between the two stages of the belt conveyor. The system has the advantages of strong expandability, strong portability, high efficiency and environmental protection.

A contactless measuring speed system of belt conveyor based on machine vision and machine learning

During the operation of the belt conveyor, measuring speed of the belt conveyor is vital to the safe and efficient operation. In the existing measuring speed system, the measurement instrument is required contacting with the surface of the belt. The contact measurement method cannot avoid the occurrence of measuring error caused by slipping on the contact surface and wear of the measurement instrument. In order to solve the problems mentioned above, a new contactless measuring speed system is proposed in this paper. The system uses the CCD camera to capture the side image of belt. The speed of belt conveyor can be obtained by measuring the regularity of image texture. The proposed measuring system can meet the requirement of measuring speed in long running process of belt conveyor. Experimental results show that the measuring accuracy indicators can reach RMSE of 0.018 m/s and MAE of 0.010 m/s.

A Contactless Measuring Speed System of Belt Conveyor Based on Optical Flow Techniques

In mining operation, measuring the speed of a belt conveyor is important for safe and efficient production. The contact measurement system is the mainstream choice for existing measuring speed systems, but the contact method cannot avoid some potential problems and hidden dangers in the running process of belt conveyor. A novel contactless measurement system based on optical flow techniques is designed in this study, which can calculate running speed of belt conveyor in real time. During the operation of belt conveyor, it can be found that most regions of the images are similar when the camera is set to high-speed continuous shooting mode. These similar image regions have a certain displacement change in the moving direction of the belt conveyor due to the time difference of its shooting, and can be described in a simplified way which is the image feature keypoint. The machine vision algorithm extracts image feature keypoints and acquires the optical flow information of image feature keypoints. Motion displacement information including the displacement change can be extracted by analyzing of optical flow information about captured images to calculate the running speed. The contactless measuring speed system is verified by experiments. Experimental results show that the measuring accuracy can be presented by indicators with RMSE of 0.042 m/s and MAE of 0.029 m/s.

Determination of Acceleration for Belt Conveyor Speed Control in Transient Operation

Determination of Acceleration for Belt Conveyor Speed Control in Transient Operation

Determination of Acceleration for Belt Conveyor Speed Control in Transient Operation

Speed control has been found a feasible mean to reduce the energy consumption of belt conveyors. However, the current research has not taken the determination of the acceleration in transient operation into account sufficiently. With respect to the belt tension rating, demanded safety factor and the ratio between belt tension before and after drive pulley, this paper presents an approach to estimate the acceleration time. Case with specific horizontal belt conveyor is studied. The simulations with finite element model are carried out to analyze the belt dynamic behaviors in transient operation. Further simulations are carried out to get the optimum acceleration time.

繰り返し重み付き最小二乗法を用いた阻止域の複数要素が可変なFIRフィルタの準等リプル設計

Automatically dynamic measurement systems to measure object weights are used in logistics and food industry, etc. The systems are composed of belt conveyor and road cell, and is called checkweigher. Checkweighers have a problem that noises of error factor change according to speed of belt conveyor and installation surrounding. As a result, variable filters are better suited for checkweighers to reduce the noises after installation. In this paper, we propose a design method of quasi-equiripple variable linear-phase FIR (Finite Impulse Response) filters using iterative weighted least squares method in the frequency domain. The proposed variable filter has some piecewise high attenuations in the stopband, and can change multi-factor in the stopband characteristics and some notch frequencies using variable parameters. In the proposed variable filter, filter coefficients are approximated by polynomial using polynomial coefficients and variable parameters. The number of the polynomial coefficients increases when variable parameters are the plural number or polynomial orders are high. Therefore, we also propose a reduction method of the polynomial coefficients. The usefulness of the proposed design method is verified through the examples.

Dynamic Characteristics Study of Belt Conveyor Based on Virtual Prototyping

With the improvement of the load and speed of belt conveyor, the dynamic characteristic problem of belt conveyer appears especially outstanding. This paper analyzed the force situation of the conveyer by the discrete dynamics model, divided n viscoelastic properties mass units in advance, then built system analysis dynamics model by vibration mechanics, built modal neutral file of the flexible belt block by means of finite element analysis software, and built the virtual prototype model of the belt conveyor using ADMAS program. It analyzed the effect of stiffness and damping of belt on the starting process by dynamic characteristics simulation method. The simulation results showed that the speed wave period of belt with the smaller stiffness was longer and the peak was bigger, the belt speed easily occurred stronger surge, the transverse vibration of belt conveyor became more violent. With the increasing of stiffness, the belt speed wave peak value decreased. As the same time, the speed surge also decreased when other operation parameters of the belt conveyer system are fixed, with increasing of the damping, the dynamic tension force peak became smaller gradually, it led to decrease of vibration curve peak. Damping coefficient played the important role in decreasing the vibration intensity, the research result offers a new basis for the analysis and study of the dynamic characteristics of belt conveyor.

Development of artificial neural network model for a coal-fired boiler using real plant data

Development of artificial neural network (ANN) models using real plant data for the prediction of fresh steam properties from a brown coal-fired boiler of a Slovenian power plant is reported. Input parameters for this prediction were selected from a large number of available parameters. Initial selection was made on a basis of expert knowledge and previous experience. However, the final set of input parameters was optimized with a compromise between smaller number of parameters and higher level of accuracy through sensitivity analysis. Data for training were selected carefully from the available real plant data. Two models were developed, one including mass flow rate of coal and the other including belt conveyor speed as one of the input parameters. The rest of the input parameters are identical for both models. Both models show good accuracy in prediction of real data not used for their training. Thus both of them are proved suitable for use in real life, either on-line or off-line. Better model out of these two may be decided on a case-to-case basis depending on the objective of their use. The objective of these studies was to examine the feasibility of ANN modeling for coal-based power or combined heat and power (CHP) plants.