CN118243365A

CN118243365A - Vibrating screen monitoring method, device and system

Info

Publication number: CN118243365A
Application number: CN202410066299.4A
Authority: CN
Inventors: 李红轩; 李志标
Original assignee: South China Machine Co ltd
Current assignee: South China Machine Co ltd
Priority date: 2024-01-16
Filing date: 2024-01-16
Publication date: 2024-06-25

Abstract

The invention provides a vibrating screen monitoring method, a device and a system, wherein the method comprises the following steps: collecting a vibration force data set of a vibrating screen; if the current vibration force data is not in the range of the safe working state, generating a maintenance scheme corresponding to the current vibration force data, and controlling the vibrating screen to execute different maintenance strategies based on the maintenance scheme; if the current vibration force data is in the range of the safe working state, analyzing the change trend of the vibration frequency and the vibration amplitude of the vibrating screen according to the vibration force data set, extracting key features from the analyzed change trend, establishing a fault prediction model based on the historical vibration force data and the key features, inputting the current vibration force data into the fault prediction model, and outputting a fault prediction result corresponding to the current vibrating screen; and executing different display strategies on the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user. Therefore, the current vibration data is monitored in real time and the fault is predicted according to the historical vibration force data.

Description

Vibrating screen monitoring method, device and system

Technical Field

The invention belongs to the technical field of monitoring, and particularly relates to a vibrating screen monitoring method, device and system.

Background

Vibrating screens are equipment for screening solid particles and are commonly used in the production of sand aggregates by screening materials. Currently, the failure of a vibrating screen is typically determined by personnel observing the frequency and amplitude of the vibration.

In practical application, however, related professionals with abundant experience are often required to observe the vibration frequency and the vibration amplitude of the vibrating screen, so that the primary judgment on faults of the vibrating screen is realized, the professional requirements on workers are high, the prediction error of the workers is large, the detection precision is low, and meanwhile, the workers are required to observe the workers in real time on site, if the workers are not on site, when the vibrating screen is abnormal, problems cannot be found in time, mass quality accidents occur or serious faults of equipment are caused, and huge production loss is caused.

Disclosure of Invention

In order to overcome the defects in the prior art, the invention provides a vibrating screen monitoring method, a vibrating screen monitoring device and a vibrating screen monitoring system, which are used for solving the problems in the prior art.

One embodiment of the invention provides a method for monitoring a vibrating screen, which comprises the following steps:

collecting a vibration force data set of a vibrating screen; the vibration force data set comprises historical vibration force data and current vibration force data, and the vibration force data comprises vibration frequency and vibration amplitude;

Judging whether the current vibration force data is in a safe working state range or not;

if the current vibration force data is not in the range of the safe working state, generating a maintenance scheme corresponding to the current vibration force data, and controlling the vibrating screen to execute different maintenance strategies based on the maintenance scheme; wherein the maintenance strategy comprises suspending to-be-inspected and power-off maintenance;

If the current vibration force data is in the range of the safe working state, analyzing the change trend of the vibration frequency and the vibration amplitude of the vibrating screen according to the vibration force data set, extracting key features from the analyzed change trend, establishing a fault prediction model based on the historical vibration force data and the key features, inputting the current vibration force data into the fault prediction model, and outputting a fault prediction result corresponding to the current vibrating screen; the key characteristics comprise one or more of a mean value, a standard deviation, a trend change rate and a spectrum energy distribution characteristic corresponding to the vibration frequency and the vibration amplitude;

And executing different display strategies on the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user.

In the embodiment, the vibration force data set of the vibrating screen is collected, the current vibration force data is judged, so that the working state of the vibrating screen is determined, when the current vibration force data is not in the range of the safe working state, a corresponding maintenance scheme is generated, so that maintenance personnel can conveniently maintain the vibrating screen, emergency treatment is carried out on the vibrating screen according to the maintenance scheme, and when abnormality occurs, the vibrating screen still performs work, thereby causing mass quality accidents or causing major equipment faults, and causing huge production loss; when the current vibration force data is in the range of the safe working state, analyzing the change trend of the vibration frequency and the vibration amplitude of the vibrating screen according to the vibration force data set to extract key features from analysis results, and building a fault prediction model according to the historical vibration force data and the key features, so that the current vibration data is predicted, the maintenance of workers is facilitated, the damage or the fault of the vibrating screen is prevented, the service life is prolonged, and the working stability is improved; different display strategies are executed on the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user, so that different display effects are realized, and corresponding picture display effects are ensured to be carried out in a targeted mode.

In one embodiment, generating a maintenance scheme corresponding to the current vibration force data includes:

Acquiring abnormal data in the historical vibration force data, wherein the abnormal data is correspondingly provided with a fault type label; the fault type label is obtained by maintaining the abnormal data;

determining a fault type label corresponding to the current vibration force data based on the abnormal data corresponding to the current vibration force data and based on the analysis results of the current vibration force data and the abnormal data;

And generating a maintenance scheme corresponding to the current vibration force data based on the fault type tag.

In the present embodiment, it is possible to.

In one embodiment, analyzing the trend of the vibration frequency and vibration amplitude of the vibrating screen according to the vibration force data set includes:

drawing a graph of vibration frequency and vibration amplitude in the vibration force data set along with time in a time domain;

waveform data corresponding to the vibration frequency and the vibration amplitude are obtained according to the graph, and the key features are extracted according to the waveform data; wherein the waveform data includes amplitude, periodicity, and waveform morphology of the vibrations.

In one embodiment, analyzing the variation trend of the vibration frequency and the vibration amplitude of the vibration screen according to the vibration force data set further includes:

Performing Fourier transformation on the vibration force data set of the time domain, and converting the vibration force data set of the time domain into frequency domain data;

Generating a spectrogram based on the result of Fourier transformation, so as to extract the key features according to the spectrogram; the horizontal axis in the spectrogram represents frequency, the vertical axis in the spectrogram represents amplitude or power density, and the spectrogram also displays the amplitude of each frequency component so as to check the amplitude and the characteristics of each frequency component on the spectrogram.

performing moving average and exponential smoothing calculation according to the time series data of the vibration frequency and the vibration amplitude;

Obtaining a moving average graph and an index smooth graph according to a calculation result, wherein corresponding trend states exist on the moving average graph and the index smooth graph, and the key features are extracted according to the trend states; wherein the trend states include an upward trend state, a steady trend state, and a downward trend state, the upward trend state representing a long-term trend in which the vibration frequency or the vibration amplitude appears to be rising; the steady trend state represents a long-term trend in which the vibration frequency or vibration amplitude is in a decrease; the steady trend state indicates that the vibration frequency or the vibration amplitude exhibits a steady trend.

In one embodiment, building a fault prediction model based on the historical vibration force data and the key features includes: and training a random forest model according to the vibration force data and the key features to obtain the fault prediction model.

In one embodiment, training the random forest model according to the vibration force data and the key features to obtain the fault prediction model includes:

dividing the vibration force data set into a training set and a testing set, and dividing the training set and the testing set according to time sequence; the training set is historical data, and the test set is future data;

training a random forest model by using the training set and the key features;

and optimizing the trained model by using the test set to obtain the fault prediction model.

In one embodiment, executing different display strategies for the current vibration force data, the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user comprises:

acquiring biological characteristic information of a user, and determining identity information of the user according to the biological characteristic information;

Judging whether the user corresponding to the identity information is a maintainer or a manager of the vibrating screen according to the identity information of the user; wherein the manager is an upper level leader of the maintainer;

when the user corresponding to the identity information is not a maintainer or a manager of the vibrating screen, carrying out parameterized dynamic update on the current vibrating force data;

When the user corresponding to the identity information is a maintainer of the vibrating screen, according to the relation between the current vibration force data and the range of the safe working state, carrying out corresponding regulation and display on the current vibration force data, the fault prediction result and the maintenance scheme;

When the user corresponding to the identity information is a manager of the vibrating screen, acquiring maintenance schemes or fault prediction results corresponding to current vibrating force data of all the vibrating screens, and carrying out parameterized dynamic updating on the current vibrating force data corresponding to the maintenance schemes and the fault prediction results according to the priority in sequence to obtain a first interface area; when the maintenance personnel do not execute the maintenance operation corresponding to the fault prediction result and the maintenance scheme beyond the preset time, marking and correlating the fault prediction result, the maintenance scheme and the corresponding maintenance personnel to obtain a second interface area; and when the second interface area appears, the first interface area and the second interface area are displayed in parallel.

One embodiment of the present invention further provides a vibrating screen monitoring device, including:

the acquisition module is used for acquiring a vibration force data set of the vibrating screen; the vibration force data set comprises historical vibration force data and current vibration force data, and the vibration force data comprises vibration frequency and vibration amplitude;

The judging module is used for judging whether the current vibration force data is in a range of a safe working state or not;

The control module is used for generating a maintenance scheme corresponding to the current vibration force data when the current vibration force data is not in the range of the safe working state, and controlling the vibrating screen to execute different maintenance strategies based on the maintenance scheme; wherein the maintenance strategy comprises suspending to-be-inspected and power-off maintenance;

The output module is used for analyzing the variation trend of the vibration frequency and the vibration amplitude of the vibrating screen according to the vibration force data set when the current vibration force data is in the range of the safe working state, extracting key features from the analyzed variation trend, establishing a fault prediction model based on the historical vibration force data and the key features, inputting the current vibration force data into the fault prediction model, and outputting a fault prediction result corresponding to the current vibrating screen; the key characteristics comprise one or more of a mean value, a standard deviation, a trend change rate and a spectrum energy distribution characteristic corresponding to the vibration frequency and the vibration amplitude;

and the display module is used for executing different display strategies on the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user.

In this embodiment, the advantages and beneficial effects of the method for monitoring the vibrating screen are described above, and are not described herein, and since the device for monitoring the vibrating screen uses the method for monitoring the vibrating screen, the device for monitoring the vibrating screen has the same advantages and beneficial effects.

One embodiment of the present invention also provides a vibrating screen monitoring system, comprising:

the data acquisition circuit is used for acquiring a vibration force data set of the vibrating screen; the vibration force data set comprises historical vibration force data and current vibration force data, and the vibration force data comprises vibration frequency and vibration amplitude;

The data analysis circuit is used for judging whether the current vibration force data is in a range of a safe working state or not; if the current vibration force data is not in the range of the safe working state, generating a maintenance scheme corresponding to the current vibration force data, and controlling the vibrating screen to execute different maintenance strategies based on the maintenance scheme; wherein the maintenance strategy comprises suspending to-be-inspected and power-off maintenance; if the current vibration force data is in the range of the safe working state, analyzing the change trend of the vibration frequency and the vibration amplitude of the vibrating screen according to the vibration force data set, extracting key features from the analyzed change trend, establishing a fault prediction model based on the historical vibration force data and the key features, inputting the current vibration force data into the fault prediction model, and outputting a fault prediction result corresponding to the current vibrating screen; the key characteristics comprise one or more of a mean value, a standard deviation, a trend change rate and a spectrum energy distribution characteristic corresponding to the vibration frequency and the vibration amplitude;

a data storage circuit for storing the vibration force data set for use by the data analysis circuit;

The output display circuit is used for executing different display strategies on the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user;

the data acquisition circuit is in communication connection with the data analysis circuit, the data storage circuit is electrically connected with the data analysis circuit, and the data analysis circuit is electrically connected with the output display circuit.

In this embodiment, the advantages and beneficial effects of the method for monitoring the vibrating screen are described above, and are not described herein, and since the system for monitoring the vibrating screen uses the method for monitoring the vibrating screen, the system for monitoring the vibrating screen has the same advantages and beneficial effects.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic workflow diagram of a method for monitoring a vibrating screen according to an embodiment of the present invention;

FIG. 2 is a flow chart of a different strategy for displaying according to an embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating the operation of a monitoring system for a vibrating screen according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating a specific operation principle of a monitoring system for a vibrating screen according to an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present invention, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture, and if the specific posture is changed, the directional indications are correspondingly changed.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, if "and/or" and/or "are used throughout, the meaning includes three parallel schemes, for example," a and/or B "including a scheme, or B scheme, or a scheme where a and B are satisfied simultaneously. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.

Referring to fig. 1, one embodiment of the present invention provides a method for monitoring a vibrating screen, which includes the following steps:

S100, collecting a vibration force data set of a vibrating screen; the vibration force data set comprises historical vibration force data and current vibration force data, and the vibration force data comprises vibration frequency and vibration amplitude;

In this embodiment, according to the structural features and the working principle of the vibrating screen, vibration sensors (such as attitude sensors) are installed at key positions (such as a vibrating screen box and a vibrating motor) of the vibrating screen, so that the sensors can accurately acquire vibration frequency and vibration amplitude data, signals output by the vibration sensors are acquired in real time through a data acquisition system or a vibration data acquisition instrument, and a vibration monitoring system, a database or an archive record of vibration frequency and vibration amplitude data at the current time point is recorded to form historical vibration force data. The method provides a basis for the establishment of a subsequent fault prediction model and the analysis of current vibration data.

In another embodiment, the method further comprises: the collected vibration frequency and vibration amplitude data are preprocessed, and the method comprises the steps of noise removal, filtering smoothing and the like, so that the accuracy and the reliability of the data are ensured.

Data cleaning: missing values, outliers, or noise in the data are detected and processed, outliers may be processed by interpolation padding, outlier detection and processing techniques, and filtering techniques to reduce noise. The method specifically comprises the following steps:

Alignment of data: it is ensured that the data acquired by the different sensors are aligned in time so that efficient analysis and modeling can be performed.

Data normalization: and carrying out normalization processing on the data, and unifying the data of different features into the same scale range so as to avoid overlarge influence of certain features on the modeling process.

Data dimension reduction: the data is subjected to dimension reduction processing, for example, a Principal Component Analysis (PCA) method is used, so as to reduce the computational complexity and remove redundant information.

S200, judging whether the current vibration force data is in a range of a safe working state;

in this embodiment, the frequency of the vibrating screen is relatively stable under normal conditions, conforming to its design specifications and operating conditions. While the amplitude of the vibration screen should be maintained within a range determined by the design and specifications of the equipment being manufactured. If the frequency suddenly increases or decreases, it may indicate that a mechanical component has failed, such as a bearing failure, a drive problem, or an imbalance of the shaker; the amplitude of the anomaly may indicate the following problem: wear or damage: such as wear or damage to the screen (mesh) can result in a change in vibration amplitude. Poor lubrication or loosening of parts: this may lead to an increase in friction of the moving parts, which in turn causes amplitude anomalies. Imbalance or misalignment: misalignment or unbalance of the components inside the vibrating screen occurs, resulting in amplitude anomalies. And comparing the vibration frequency and vibration amplitude data acquired in real time with the safety range, so as to judge whether the current numerical value is in the safety working range.

S300, if the current vibration force data is not in the range of the safe working state, generating a maintenance scheme corresponding to the current vibration force data, and controlling the vibrating screen to execute different maintenance strategies based on the maintenance scheme; wherein the maintenance strategy comprises suspending to-be-inspected and power-off maintenance; the method specifically comprises the following steps:

S310, acquiring abnormal data in the historical vibration force data, wherein the abnormal data is correspondingly provided with a fault type label; the fault type label is obtained by maintaining the abnormal data;

In the embodiment, the fault type corresponding to the abnormal data in the historical vibration force data is determined through the historical maintenance information of maintenance personnel and a fault diagnosis manual provided by an equipment manufacturer, a fault type library is established, and a corresponding fault type label is set for each fault type; to ensure the accuracy of the maintenance scheme.

S320, determining a fault type label corresponding to the current vibration force data based on the abnormal data corresponding to the current vibration force data and based on analysis results of the current vibration force data and the abnormal data;

In this embodiment, the abnormal data corresponding to the current vibration force data and the abnormal data of the historical vibration force data are compared and analyzed, so that the fault type label corresponding to the current vibration force data is determined, and the fault type corresponding to the current vibration force data is accurately judged.

S330, generating a maintenance scheme corresponding to the current vibration force data based on the fault type label.

In the embodiment, the maintenance operation corresponding to the maintenance personnel, such as suspension of waiting to be checked and power-off maintenance, is determined through the fault type label, so that the vibrating screen is controlled timely and accurately, and production accidents are prevented.

S400, if the current vibration force data is in the range of the safe working state, analyzing the change trend of the vibration frequency and the vibration amplitude of the vibrating screen according to the vibration force data set, extracting key features from the analyzed change trend, establishing a fault prediction model based on the historical vibration force data and the key features, inputting the current vibration force data into the fault prediction model, and outputting a fault prediction result corresponding to the current vibrating screen; the key characteristics comprise one or more of a mean value, a standard deviation, a trend change rate and a spectrum energy distribution characteristic corresponding to the vibration frequency and the vibration amplitude;

S411, drawing a graph of vibration frequency and vibration amplitude in the vibration force data set along with time on a time domain;

S412, acquiring waveform data corresponding to the vibration frequency and the vibration amplitude according to the graph, so as to extract the key features according to the waveform data; wherein the waveform data includes amplitude, periodicity, and waveform morphology of the vibrations.

Specific: the method comprises the steps of using a data processing tool (such as a matplotlib library of Python) or professional vibration analysis software to draw a time domain curve of vibration frequency and vibration amplitude data along with time, setting a horizontal axis as time, setting a vertical axis as numerical values of vibration frequency and vibration amplitude, ensuring that a graph is clear, selecting a time range of interest from the graph to obtain waveform data of the corresponding vibration amplitude along with time, calculating the maximum value, the minimum value and the peak value of the vibration amplitude in the selected time range to describe the amplitude characteristics of a vibration signal, judging the periodic characteristics of the vibration signal by using a signal processing method such as an autocorrelation function or a power spectrum density analysis, including the main frequency component and the periodic variation condition, obtaining waveform form information of the vibration signal by observing the form characteristics such as wave crest, wave trough, duration and the like, and extracting other more specific vibration characteristics such as pulse indexes, margin factors, kurtosis and the like according to actual requirements, and constructing a fault prediction model.

s421, performing Fourier transform on the vibration force data set of the time domain, and converting the vibration force data set into frequency domain data;

S422, generating a spectrogram based on a result of Fourier transformation, so as to extract the key features according to the spectrogram; the horizontal axis in the spectrogram represents frequency, the vertical axis in the spectrogram represents amplitude or power density, and the spectrogram also displays the amplitude of each frequency component so as to check the amplitude and the characteristics of each frequency component on the spectrogram.

Specific: the vibration frequency and vibration amplitude data in the time domain are fourier transformed to frequency domain data. This may be fourier transformed using signal processing tools (such as NumPy or SciPy libraries in Python); generating a spectrogram based on the result of the fourier transform, wherein the horizontal axis represents frequency, the vertical axis represents amplitude or power density, and the amplitude of each frequency component is displayed; identifying main frequency components, namely the amplitude of each frequency component on the spectrogram by observing the spectrogram; determining a main frequency corresponding to the frequency with the largest amplitude on the spectrogram and frequency component information around the main frequency; checking the amplitude of each frequency component on the spectrogram to find out whether abnormal or prominent peaks exist, wherein the peaks possibly represent specific vibration frequency components; if the spectrogram shows power spectral density, analyzing the power density distribution condition of each frequency component, grasping the energy proportion of different frequency components in the vibration signal, observing the whole form of the spectrogram, judging the distribution characteristics of the frequency components, such as whether the spectrogram is concentrated in a certain frequency range, whether broadband distribution exists, and the like, and checking whether abnormal frequency components related to equipment faults, such as special frequencies of harmonic waves, side waves and the like exist.

S431, carrying out moving average and exponential smoothing calculation according to the time series data of the vibration frequency and the vibration amplitude;

S432, obtaining a moving average graph and an index smooth graph according to a calculation result, wherein corresponding trend states exist on the moving average graph and the index smooth graph, and the key features are extracted according to the trend states; wherein the trend states include an upward trend state, a steady trend state, and a downward trend state, the upward trend state representing a long-term trend in which the vibration frequency or the vibration amplitude appears to be rising; the steady trend state represents a long-term trend in which the vibration frequency or vibration amplitude is in a decrease; the steady trend state indicates that the vibration frequency or the vibration amplitude exhibits a steady trend.

Specific: and obtaining a moving average value by carrying out average calculation on the data in a certain window. This may be achieved using a sliding window or a correlation function; smoothing the time series data by adopting an exponential weighting method to eliminate random fluctuation and highlight long-term trend; analyzing the overall trend on the moving average graph and the exponential smoothing graph to distinguish the ascending trend state, the stable trend state and the descending trend state; rising trend state: judging whether the vibration frequency or vibration amplitude exhibits a long-term trend of continuous rise, which may represent deterioration of the operating condition of the apparatus or development of a failure; a downward trend state: observing whether the vibration frequency or vibration amplitude exhibits a long-term trend of continuous decrease may represent a case-stable trend state of improvement in device performance or repair of failure: steady trend state: it is confirmed whether the vibration frequency or vibration amplitude exhibits a relatively stable long-term trend, which may indicate that the apparatus is in a normal operation state. It is also desirable to identify abnormal fluctuations in moving average and exponential smoothing graphs that may represent equipment bursting problems or changes.

training a random forest model by using the training set and the key features;

The method specifically comprises the following steps:

Data preparation: historical vibration data is loaded, including time series data of vibration frequency or vibration amplitude. Key features such as mean, standard deviation, trend rate of change and spectral energy distribution features are extracted.

Data preprocessing: the vibration data is subjected to necessary cleaning and preprocessing such as abnormal value removal, missing value filling, and the like. And (3) performing feature engineering, and integrating the extracted key features and vibration data into model input.

Data segmentation: according to the time sequence, the historical data is divided into a training set and a testing set according to a certain proportion (for example, 80% of the historical data is used as the training set and 20% is used as the testing set).

Training a random forest model: the random forest model is trained using the vibration data and key features of the training set. Model training may be performed using RandomForestClassifier in the scikit-learn library.

Model parameter adjustment: and performing parameter tuning on the random forest model, such as the selection of super parameters of the number, the depth and the like of the trees. The optimal parameter combination can be found through methods such as cross-validation and the like;

Model optimization: and verifying and optimizing the trained random forest model by using the test set. And adjusting model parameters or feature selection according to feedback results of the test set so as to improve the prediction accuracy of the model on future data.

Model evaluation: and evaluating the optimized model by using a test set, checking the prediction effect of the model on future data, and evaluating indexes such as accuracy, recall rate, F1 score and the like of the model.

Fault prediction model application: after the model is verified and a satisfactory prediction effect is achieved, the purpose of fault prediction can be achieved.

Referring to fig. 2, S500 executes different display strategies for the failure prediction result and the maintenance scheme according to the association relationship between the vibrating screen and the user.

S510, acquiring biological characteristic information of a user, and determining identity information of the user according to the biological characteristic information;

The facial image or fingerprint feature of each view angle of the user is acquired through an acquisition module (such as a camera, a fingerprint acquisition module and the like) of the equipment, so that the biological feature information of the user is obtained quickly, the facial feature information of the user is obtained according to the facial image of the user, the current user is determined to have legal identity according to the facial feature information or the fingerprint feature traversing in a preset database, if the identity information of the user is found in the database, the user is determined to have legal identity, if the identity information of the user is not found in the database, the user is determined to have no legal identity, and the alarm is given in time, so that the malicious damage to a vibrating screen or a company is avoided.

S520, judging whether the user corresponding to the identity information is a maintainer or a manager of the vibrating screen according to the identity information of the user; wherein the manager is an upper level leader of the maintainer;

in this embodiment, after the identity information of the user is determined, the post association relationship of the user stored in the same directory may be obtained, where the post association relationship refers to the association relationship of the upper and lower posts of the user.

As an example, if after determining that the identity of the user is a, the post corresponding to a is a maintainer, and the post association relationship of a may include a peer of a, i.e. maintainer b and an upper management post of a, i.e. on-duty c or group c.

S530, when the user corresponding to the identity information is not a maintainer or a manager of the vibrating screen, carrying out parameterized dynamic update on the current vibration force data;

In this embodiment, if any vibrating screen is in a normal running state, the current vibration force data on the display device can be dynamically updated in a parameterized manner according to the actual production condition, so that a worker can observe whether the vibrating screen is in a safe working range.

S540, when the user corresponding to the identity information is a maintainer of the vibrating screen, according to the relation between the current vibration force data and the range of the safe working state, carrying out corresponding regulation and display on the current vibration force data, the fault prediction result and the maintenance scheme;

S550, when the user corresponding to the identity information is a manager of the vibrating screen, acquiring maintenance schemes or fault prediction results corresponding to current vibration force data of all the vibrating screens, and sequentially carrying out parameterized dynamic update on the current vibration force data corresponding to the maintenance schemes and the fault prediction results according to the priority to obtain a first interface area; when the maintenance personnel do not execute the maintenance operation corresponding to the fault prediction result and the maintenance scheme beyond the preset time, marking and correlating the fault prediction result, the maintenance scheme and the corresponding maintenance personnel to obtain a second interface area; and when the second interface area appears, the first interface area and the second interface area are displayed in parallel.

In this embodiment, the association relationship between the user corresponding to the identity information and the vibrating screen is different, and represents the user with different association relationships, and the user with different association relationships can perform different operations, which is exemplified by the fact that if the identity information of the user corresponds to the maintenance personnel, the user needs to perform maintenance operation on the user, if the identity information of the user corresponds to the span, the user needs to perform overall management on the managed vibrating screen and the corresponding maintenance personnel, and if the identity information of the user corresponds to the group of spans, the user can perform overall management on the managed vibrating screen and the corresponding span, so as to implement hierarchical management and optimize the management flow, so as to check personnel, and according to the relationship between the current vibration force data and the range of the safe working state, the steps of performing corresponding regulation and display on the current vibration force data, the failure prediction result and the maintenance scheme can be as follows:

s551: when the identity information of the user corresponds to maintenance personnel, carrying out parameterized dynamic update on the current vibration force data, and when the current vibration force data is determined to be not in a safe working range, associating a parameterized picture of the current vibration force data with corresponding fault diagnosis information and maintenance information, and displaying corresponding expected processing time according to a preset rule to obtain a dynamic maintenance guidance picture;

S552: when the identity information of a user corresponds to a shift, acquiring a maintenance scheme or a fault prediction result corresponding to the current vibration force data of the managed vibrating screen, and carrying out parameterized dynamic update on the current vibration force data corresponding to the maintenance scheme and the fault prediction result according to the priority in sequence to obtain a first interface area; when the maintenance personnel do not execute the maintenance operation corresponding to the fault prediction result and the maintenance scheme beyond the preset time, marking and correlating the fault prediction result, the maintenance scheme and the corresponding maintenance personnel to obtain a second interface area; when the second interface area appears, the first interface area and the second interface area are displayed in parallel;

S553: when the identity information of the user corresponds to the group leader, acquiring a maintenance scheme or a fault prediction result corresponding to the current vibration force data of the managed vibrating screen, and carrying out parameterized dynamic update on the current vibration force data corresponding to the maintenance scheme and the fault prediction result according to the priority in sequence to obtain a third interface area; when the length of the flight exceeds the preset time and maintenance personnel are not guided to execute maintenance operations corresponding to the fault prediction result and the maintenance scheme, marking and associating the fault prediction result, the maintenance scheme and the corresponding length of the flight to obtain a fourth interface area; and when the fourth interface area appears, the third interface area and the fourth interface area are displayed in parallel.

In the implementation manners of S551 to S553, different display strategies are executed on the fault prediction result and the maintenance scheme according to the association relationship between the vibrating screen and the user, so that different management effects are realized through different display effects, and corresponding image display is ensured to be performed pertinently.

Referring to fig. 3, one embodiment of the present invention further provides a vibrating screen monitoring system, including:

Referring to fig. 4, in one embodiment, the data acquisition circuit includes an attitude sensor and an STM32 microcontroller: the gesture sensor is an XYZ three-axis gesture sensor and is used for converting received vibrating force data of the vibrating screen into an electric signal analog quantity. The STM32 microcontroller is an ARM-M low-power consumption MCU and is used for processing the analog signals of the attitude sensor and carrying out noise reduction processing on the analog signals.

Referring to fig. 4, in one embodiment, the data analysis circuit includes:

A rotary encoder: the method is used for man-machine interaction, adjustment of system parameters, screen brightness and the like.

Bidirectional level shifter: for STM32 to communicate with ESP32, an external signal input port is reserved for subsequent expansion of more acquisition modules.

USB transceiver: for the USB to serial port to communicate with ESP32 and for controlling the hysteresis comparator circuit power.

Built-in battery: the power supply is used for supplying standby power to the whole circuit except the USB port.

Hysteresis comparator circuit: judging whether the USB port is in a power supply state or not through a hysteresis comparison circuit, and cutting off a battery discharging mos tube switch in a control system circuit when the USB is powered

A battery power supply; and meanwhile, when the voltage of the battery is detected to be low, the battery is charged through a battery charging mos tube switch in a control system circuit.

Referring to fig. 4, in one embodiment, the output display circuit includes an LCD display screen, and a general LCD display screen is used to display the monitoring data in real time according to a display policy.

Referring to fig. 4, in one embodiment, the data storage circuit includes an SD memory card: and the general TF/SD memory is used for storing the data processing result.

Referring to fig. 4, in one embodiment, the circuit further includes peripheral circuitry: a DC-DC conversion circuit: the power supply is used for converting the USB/battery output power supply into a regulated power supply required by each IC in the system circuit.

Through this shale shaker monitoring system to carry out real-time supervision and compare with historical data and analyze to the shale shaker, and the effect of trouble prediction.

One embodiment of the present invention also provides a host computer, including a memory, a processor, and a computer program stored in the memory and executable on the processor, including: the processor, when executing the computer program, implements the steps of any one of the possible implementations described above.

In one embodiment, the present invention also provides a computer-readable storage medium having stored therein a computer program comprising program instructions which, when executed by a processor of an electronic device, cause the processor to perform a method as any one of the possible implementations described above.

In one embodiment, the present invention also provides an electronic device, including: the electronic device comprises a processor, a transmitting means, an input means, an output means and a memory for storing computer program code comprising computer instructions which, when executed by the processor, cause the electronic device to perform a method as any one of the possible implementations described above.

Referring to fig. 5, fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the invention.

The electronic device 2 comprises a processor 21, a memory 22, input means 23, output means 24. The processor 21, memory 22, input device 23, and output device 24 are coupled by connectors including various interfaces, transmission lines or buses, etc., as are not limited by the present embodiments. It should be appreciated that in various embodiments of the invention, coupled is intended to mean interconnected by a particular means, including directly or indirectly through other devices, e.g., through various interfaces, transmission lines, buses, etc.

The processor 21 may be one or more graphics processors (graphicsprocessingunit, GPUs), which in the case of a GPU as the processor 21 may be a single core GPU or a multi-core GPU. Alternatively, the processor 21 may be a processor group formed by a plurality of GPUs, and the plurality of processors are coupled to each other through one or more buses. In the alternative, the processor may be another type of processor, and the embodiment of the invention is not limited.

Memory 22 may be used to store computer program instructions as well as various types of computer program code for performing aspects of the present invention. Optionally, the memory includes, but is not limited to, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (erasableprogrammablereadonlymemory, EPROM), or portable read-only memory (compactdiscread-only memory, CD-ROM), which is used for the relevant instructions and data.

The input means 23 are for inputting data and/or signals and the output means 24 are for outputting data and/or signals. The output device 23 and the input device 24 may be separate devices or may be an integral device.

It will be appreciated that in embodiments of the present invention, the memory 22 may not only be used to store relevant instructions, but embodiments of the present invention are not limited to the specific data stored in the memory.

It will be appreciated that fig. 5 shows only a simplified design of an electronic device. In practical applications, the electronic device may further include other necessary elements, including but not limited to any number of input/output devices, processors, memories, etc., and all video parsing devices capable of implementing the embodiments of the present invention are within the scope of the present invention.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein. It will be further apparent to those skilled in the art that the descriptions of the various embodiments of the present invention are provided with emphasis, and that the same or similar parts may not be described in detail in different embodiments for convenience and brevity of description, and thus, parts not described in one embodiment or in detail may be referred to in description of other embodiments.

In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted across a computer-readable storage medium. The computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digitalsubscriberline, DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital versatile disk (DIGITALVERSATILEDISC, DVD)), or a semiconductor medium (e.g., solid state disk (solidstatedisk, SSD)), etc.

Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: a read-only memory (ROM) or a Random Access Memory (RAM), a magnetic disk or an optical disk, or the like.

The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the description of the present invention and the accompanying drawings or direct/indirect application in other related technical fields are included in the scope of the invention.

Claims

1. A method of monitoring a vibrating screen comprising the steps of:

And executing different display strategies on the current vibration force data, the fault prediction result and the maintenance scheme according to the association relation between the vibrating screen and the user.

2. The method of claim 1, wherein generating a repair plan corresponding to the current vibration data comprises:

3. The method of claim 1, wherein analyzing the trend of the vibration frequency and vibration amplitude of the vibrating screen from the vibration force data set comprises:

4. The method of monitoring a vibrating screen according to claim 1, wherein analyzing the trend of the vibration frequency and vibration amplitude of the vibrating screen from the vibration force data set further comprises:

5. The method of monitoring a vibrating screen according to claim 1, wherein analyzing the trend of the vibration frequency and vibration amplitude of the vibrating screen from the vibration force data set further comprises:

6. The method of monitoring a shaker of claim 2, wherein building a fault prediction model based on the historical vibratory force data and the key signature comprises: and training a random forest model according to the vibration force data and the key features to obtain the fault prediction model.

7. The method of claim 6, wherein training a random forest model based on the vibration force data and the key features to obtain the fault prediction model comprises:

training a random forest model by using the training set and the key features;

8. The method of claim 1, wherein performing different presentation strategies for the current vibration force data, the fault prediction result, and the repair plan based on the association of the vibrating screen with a user comprises:

9. A vibrating screen monitoring device, comprising:

10. A shaker monitoring system, comprising: