CN-121376684-B - Ore opening conveying device with discharge hole dust suppression mechanism and method thereof

CN121376684BCN 121376684 BCN121376684 BCN 121376684BCN-121376684-B

Abstract

The invention relates to a conveying device for ore exploitation with a discharge hole dust suppression mechanism and a method thereof, belonging to the technical field of mineral exploitation, material transportation and dust pollution control, and comprising the following steps of carrying out soft measurement on material flow characteristics, wherein a controller is used for fusing a current signal of a power monitor, a vibration signal of an acoustic probe and an image signal of an industrial camera to estimate the instantaneous flow and apparent water content of materials in real time; the optimal atomization strategy prediction control comprises the steps that the controller performs rolling optimization through a dynamic mechanism model based on estimated instantaneous flow and apparent water content and combined with wind speed disturbance data of an anemometer, and outputs a control instruction to an atomization spray gun, and feedback constraint and closed loop, wherein the controller takes dust concentration measured by a turbidity sensor as a minimum target and exhaust humidity measured by a humidity sensor as a constraint condition when optimizing, and the accuracy and robustness of an estimation result are improved, so that a foundation is laid for follow-up accurate control.

Inventors

ZHU ZHAOCHUN
SHI LINLIN
SUN JIANYIN
LI DAN

Assignees

蔚县新源玄武岩矿业有限公司

Dates

Publication Date: 20260512
Application Date: 20251107

Claims (4)

1. Ore opening conveyer with discharge gate presses down dirt mechanism, its characterized in that, the device includes: a conveyor end (100) for conveying a material; the dust suppression cover (200) is fixedly connected to the discharge hole of the tail end (100) of the conveyor; a power monitor (120) for monitoring a motor load current driving the conveyor; -a perception array (300) comprising an industrial camera (310) and an acoustic probe (320), the industrial camera (310) being fixed to a frame of the dust suppression shroud (200), the acoustic probe (320) being fixed to the conveyor tip (100); An atomization spray gun (230) which is arranged on the inner wall of the dust suppression cover (200) in an array manner; A state monitor (400) including a turbidity sensor (410) and a humidity sensor (420) installed in an exhaust duct (210) on the dust suppression cover (200); An anemometer (220) mounted inside the exhaust duct (210); a controller (500) respectively connected to the power monitor (120), the sensing array (300), the atomizing spray gun (230), the status monitor (400), and the anemometer (220); The transportation method of the transportation device for ore exploitation comprises the following steps: The material flow characteristic soft measurement comprises the steps of merging a current signal of a power monitor (120), a vibration signal of an acoustic probe (320) and an image signal of an industrial camera (310) through a controller (500), and estimating the instantaneous flow and apparent water content of the material in real time; The optimal atomization strategy prediction control is that the controller (500) performs rolling optimization through a dynamic mechanism model based on the estimated instantaneous flow and apparent water content and combined with wind speed disturbance data of the anemometer (220), and outputs a control instruction to the atomization spray gun (230); The controller (500) uses the dust concentration measured by the turbidity sensor (410) as a minimum target and uses the exhaust air humidity measured by the humidity sensor (420) not exceeding a preset threshold value as a constraint condition when optimizing; the material flow characteristic soft measurement step specifically comprises the following steps: Acquiring, wherein the power monitor (120) acquires motor load current as a reference mass flow, the acoustic probe (320) picks up structural vibration voiceprint of material impact, and the industrial camera (310) acquires instantaneous section contours of the material through exposure of a high-brightness LED stroboscopic light source; The depth neural network model in the controller (500) receives the current signal, the vibration voiceprint and the section profile, and outputs the estimated values of the instantaneous flow and the apparent water content through multi-mode fusion calculation; the optimal atomization strategy prediction control step specifically comprises the following steps: The controller (500) establishes a short-time prediction model based on the instantaneous flow rate and the change rate of the apparent water content, and calculates the material flow state in one control period in the future; The controller (500) solves an objective function through a rolling optimization algorithm based on the material flow state, the wind speed disturbance data and a dynamic mechanism model describing the relation between the spray gun action, the dust concentration and the exhaust air humidity, and determines the start-stop time sequence of the atomizing spray gun (230); the discharging chute (110) is arranged on the tail end (100) of the conveyor, the acoustic probe (320) is a piezoelectric contact microphone, and is tightly fixed on the outer wall of the bottom plate of the discharging chute (110) through a rigid connecting seat; The industrial camera (310) is a high-speed industrial camera (310), and a synchronously triggered high-brightness LED stroboscopic light source is fixedly connected beside a lens of the industrial camera (310) through the same mounting bracket; The atomizing spray gun (230) is controlled by an independent electronically controlled high frequency pulse width modulation valve.
2. The ore mining transportation device with a discharge outlet dust suppression mechanism of claim 1, wherein the deep neural network model is built by: Collecting a historical working condition data set in a debugging stage, and synchronously recording a current signal of the power monitor (120), a vibration signal of the acoustic probe (320) and an image signal of the industrial camera (310) as input features of a deep neural network model; periodically calibrating offline by adopting a high-precision weighing hopper to obtain a reference mass flow, and performing dry measurement on the intercepted material sample to obtain a reference apparent water content, wherein the reference mass flow and the apparent water content data are used as supervision labels of the deep neural network model; Adjusting the internal weights of the deep neural network model, and establishing a nonlinear mapping relation from input features of a power monitor (120), an acoustic probe (320) and an industrial camera (310) to the supervision tag.
3. The ore mining transportation device with a discharge outlet dust suppression mechanism of claim 1, further comprising the steps of sensor status self-diagnosis and degradation: Checking that the controller (500) continues to run consistency check logic, cross-aligning the data streams of the power monitor (120), the acoustic probe (320) and the industrial camera (310); diagnosing, namely judging that a specific sensor fails when the detected data difference is continuous; And (3) the controller (500) immediately triggers a dynamic control strategy degradation flow, and activates a pre-trained degradation soft measurement model which does not depend on the specific sensor with the fault according to the fault and the material characteristic parameters before the fault.
4. The ore mining transportation device with the discharge port dust suppression mechanism according to claim 1, wherein the power monitor (120) is a high-precision broadband current transformer, and is non-contact clamped on a main power supply cable of a motor for driving the conveyor.

Description

Ore opening conveying device with discharge hole dust suppression mechanism and method thereof Technical Field The invention relates to the fields of mineral exploitation, material transportation and dust pollution control, in particular to a transportation device for ore exploitation with a discharge hole dust suppression mechanism and a method thereof. Background With the rapid development and construction of ore mining engineering, serious dust pollution problems can be formed in a typical scene of transporting materials, particularly in a discharge hole position. The traditional ore transportation method mainly relies on a fixed spraying strategy to carry out dust suppression, however, in actual working conditions, the characteristics of material flows such as instantaneous flow and apparent water content of materials are changed frequently and drastically, under the working conditions with more than one change, the traditional fixed spraying strategy is difficult to adapt, and the traditional dust suppression method uses a single spraying action to cope with complex material flow changes, and the defects include: The control system has unstable inhibition effects, namely, when the material flow is suddenly increased or the dryness is increased, the fixed spraying quantity cannot provide enough inhibition force, so that the dust concentration is rapidly increased, serious dust pollution is caused, the material overtemperature risk is that when the material flow is reduced or the apparent water content is higher, the fixed spraying quantity can cause water resource waste, excessive wetness of the material is caused, the subsequent conveying and processing processes are influenced, in addition, the traditional sensors used for feeding back the dust inhibition effects, such as a turbidity sensor and a humidity sensor, are in hysteresis response, only monitor the state after dust dissipation and exhaust humidity increase have occurred, and cannot provide early warning when the material flow state is rapidly changed, so that the control system can only adopt hysteresis response, and the advanced inhibition is difficult to realize. Therefore, on the premise that the apparent water content of the material does not exceed a preset threshold, the dust suppression strategy is actively and forepoling adjusted, so that the instantaneous change of the material flow is effectively treated, and the method is a key problem to be solved in the current ore transportation field. The above information disclosed in the above background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to those of ordinary skill in the art. Disclosure of Invention The invention aims to provide a conveying device for ore mining with a discharge hole dust suppression mechanism and a method thereof, which are used for solving the problems in the background art, and the technical scheme of the invention is as follows: a method for transporting ore with a discharge hole dust suppression mechanism comprises the following steps: The method comprises the following steps of carrying out soft measurement on material flow characteristics, namely merging a current signal of a power monitor, a vibration signal of an acoustic probe and an image signal of an industrial camera through a controller, and estimating the instantaneous flow and apparent water content of the material in real time; The controller performs rolling optimization through a dynamic mechanism model based on the estimated instantaneous flow and apparent water content and combined with wind speed disturbance data of an anemometer, and outputs a control instruction to an atomization spray gun; And (3) feedback constraint and closed loop, wherein the controller takes the dust concentration measured by the turbidity sensor as a minimum target and takes the exhaust air humidity measured by the humidity sensor as a constraint condition that the exhaust air humidity does not exceed a preset threshold value. Preferably, the material flow characteristic soft measurement step specifically includes: Acquiring, namely acquiring load current of a motor as reference mass flow by the power monitor, picking up structural vibration voiceprint impacted by materials by the acoustic probe, and acquiring instantaneous section contours of the materials by the industrial camera through exposure of a high-brightness LED stroboscopic light source; And (3) fusion estimation, namely receiving the current signal, the vibration voiceprint and the section profile by a deep neural network model in the controller, and outputting estimated values of the instantaneous flow and the apparent water content by multi-mode fusion calculation. Preferably, the deep neural network model is built by the following steps: Collecting a historical working condition data set in a debugging stage, and synchr