CN115236509B - Data acquisition equipment for motor - Google Patents

Abstract

The invention provides a data acquisition device for a motor, wherein a processor is used for acquiring a motor label of a monitored motor, determining corresponding environment threshold information and electric energy threshold information according to the motor label, and outputting corresponding first reminding information if judging that current temperature information and/or current vibration information, current voltage information and/or current information do not meet the requirements of the environment threshold information and the electric energy threshold information; the processor invokes a preset first calculation model, inputs environment monitoring data into the first calculation model to obtain standard electric energy data, and generates an electric energy abnormality reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data; the processor invokes a preset second calculation model, inputs the electric energy monitoring data into the second calculation model to obtain standard environment data, and generates a structural abnormality reminding signal if the standard environment data does not correspond to the environment monitoring data.

Description

Data acquisition equipment for motor

Technical Field

The invention relates to motor testing technology, in particular to data acquisition equipment for a motor.

Background

The motor refers to an electromagnetic device for converting or transmitting electric energy according to the law of electromagnetic induction. In the use process of the motor, the motor can perform work after being electrified, and subsequent work is completed.

In the actual use process of the motor, various abnormal faults can occur. For example, the motor burns out due to overvoltage, overcurrent and the like, or the motor is excessively high in temperature due to overlarge vibration caused by abnormal looseness of a mechanical connection structure of the motor, and the radiating fins cannot normally radiate heat. In general, the motor starts from small anomalies and gradually expands, so that larger losses are caused, if the motor can be accurately monitored and maintained at the initial stage of anomalies, the damage rate of the motor can be greatly reduced, and the service life of the motor is prolonged, so that a method is needed to timely remind of anomalies according to the multidimensional data of the motor.

Disclosure of Invention

The embodiment of the invention provides data acquisition equipment for a motor, which can timely remind an abnormality according to multidimensional data of the motor.

The embodiment of the invention provides a data acquisition device for a motor, which comprises an environment monitoring unit, an electric energy monitoring unit and a processor, wherein the data acquisition device is used for processing data acquired by the environment monitoring unit and the electric energy monitoring unit and comprises the following steps:

Acquiring corresponding environment monitoring data and electric energy monitoring data based on the environment monitoring unit and the electric energy monitoring unit, wherein the environment monitoring data at least comprises current temperature information and/or current vibration information, and the electric energy monitoring data at least comprises current voltage information and/or current information;

the processor invokes a motor label of the monitored motor, determines corresponding environment threshold information and electric energy threshold information according to the motor label, and outputs corresponding first reminding information if judging that the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environment threshold information and the electric energy threshold information;

the processor invokes a preset first calculation model, inputs the environment monitoring data into the first calculation model to obtain standard electric energy data, and generates an electric energy abnormality reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data;

and the processor invokes a preset second calculation model, inputs the electric energy monitoring data into the second calculation model to obtain standard environment data, and generates a structural abnormality reminding signal if the standard environment data does not correspond to the environment monitoring data.

Further, the processor invokes a motor tag of the monitored motor, determines corresponding environmental threshold information and electric energy threshold information according to the motor tag, and if it is determined that the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environmental threshold information and the electric energy threshold information, outputs corresponding first reminding information, including:

the method comprises the steps that a processor invokes a motor label of a monitored motor, wherein the motor label comprises a motor model, and preset environment threshold information and electric energy threshold information are determined according to the motor model;

if the current temperature information and/or the current vibration information are/is judged to be greater than the environment threshold information, outputting first reminding information, wherein the environment threshold information comprises preset temperature information and/or preset vibration information, and the first reminding information is temperature abnormality reminding information and/or vibration abnormality reminding information;

if the current voltage information and/or the current information are/is judged to be greater than the electric energy threshold information, outputting first reminding information, wherein the electric energy threshold information comprises preset voltage information and/or preset current information, and the first reminding information is voltage abnormality reminding information and/or current abnormality reminding information.

Further, the method further comprises the following steps:

if the processor judges that the environment threshold information and the electric energy threshold information corresponding to the motor label do not exist, extracting current motor parameters corresponding to the motor label and sending the current motor parameters to a server;

the server determines corresponding types of pre-stored motor parameters in a database according to the current motor parameters, wherein each pre-stored motor parameter is provided with corresponding pre-stored environment threshold information and pre-stored electric energy threshold information;

acquiring power information and volume information in each pre-stored motor parameter, obtaining a first power volume ratio of the corresponding pre-stored motor parameter for the power information and the volume information, and generating pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter according to the first power volume ratio;

and the server sends the pre-stored environment threshold information and the pre-stored electric energy threshold information determined by the current motor parameters to a processor.

Further, the obtaining the power information and the volume information in each pre-stored motor parameter, obtaining a power volume ratio of the corresponding pre-stored motor parameter for the power information and the volume information, and generating pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter according to the power volume ratio, including:

Respectively carrying out normalization processing on the power information and the volume information of the pre-stored motor parameters to obtain corresponding power coefficients and volume coefficients, and comparing the power coefficients with the volume coefficients to obtain a first power volume ratio corresponding to each pre-stored motor parameter;

the pre-stored motor parameters are ordered in a descending order according to all the first power volume ratios, and a first parameter ordering result is obtained;

respectively carrying out normalization processing on the power information and the volume information of the current motor parameters to obtain corresponding power coefficients and volume coefficients, and comparing the power coefficients with the volume coefficients to obtain a second power volume ratio corresponding to the current motor parameters;

and determining a first power volume ratio closest to the second power volume ratio in the first parameter sequencing result as a third power volume ratio, and calculating according to the third power volume ratio and the second power volume ratio to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameters.

Further, the determining, as a third power volume ratio, a first power volume ratio closest to the second power volume ratio in the first parameter sorting result, and calculating according to the third power volume ratio and the second power volume ratio to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameter, where the determining includes:

The first power volume ratio and the second power volume ratio are calculated by the following formula,

wherein,is->First power-to-volume ratio of pre-stored motor parameters,/->Is->Power information of the motor parameters is pre-stored, +.>Normalize the weight value for power, +.>Is->Volume information of the motor parameters is pre-stored, +.>Normalize the weight value for volume, +.>For a second power volume ratio, +.>For the power information of the current motor parameter, +.>Volume information of current motor parameters;

calculating the absolute value of the difference value of each first power volume ratio and each second power volume ratio to obtain a ratio difference value, and taking the first power volume ratio corresponding to the smallest ratio difference value as a third power volume ratio;

the pre-stored environmental threshold information and pre-stored electrical energy threshold information corresponding to the current motor parameters are calculated by the following formulas,

wherein the method comprises the steps of，Pre-stored environment threshold information corresponding to current motor parameters, < ->Pre-stored environmental threshold information corresponding to the third power volume ratio,>for a third power volume ratio, +.>Presetting a constant value for the environment, < >>For the environmental weight value, +.>Pre-stored power threshold information corresponding to the third power volume ratio, >Pre-stored electric energy threshold information corresponding to current motor parameters, < >>Presetting a constant value for electric energy, < >>Is the power weight value.

Further, the processor invokes a preset first calculation model, inputs the environmental monitoring data into the first calculation model to obtain standard electric energy data, and generates an electric energy abnormality reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data, including:

the processor determines a corresponding first calculation model according to the motor label, and determines a first calculation weight set of the first calculation model according to the motor label to obtain a third calculation model;

taking the current temperature information and/or the current vibration information as the input of a third calculation model to obtain standard electric energy data, wherein the standard electric energy data is standard voltage information and/or standard electric energy information;

calculating the difference between the current voltage information and the standard voltage information to obtain a first voltage difference value, and calculating the difference between the current information and the standard current information to obtain a first current difference value;

if the first voltage difference value is larger than the voltage difference threshold value and/or the first current difference value is larger than the current difference threshold value, judging that the electric energy monitoring data do not correspond to each other, and generating an electric energy abnormality reminding signal.

Further, the method further comprises the following steps:

if the processor judges that the first calculation weight set of the first calculation model cannot be determined according to the motor label, extracting the current motor parameter corresponding to the motor label and sending the current motor parameter to a server;

the server determines corresponding types of pre-stored motor parameters in a database according to the current motor parameters, wherein each pre-stored motor parameter is provided with a corresponding preset calculation weight set;

acquiring a first power volume ratio of each pre-stored motor parameter, and generating a second calculation weight set corresponding to the current motor parameter according to the first power volume ratio;

the server sends the second calculation weight group to the processor, the processor updates the first calculation model according to the second calculation weight group to obtain a third calculation model, current temperature information and/or current vibration information are used as input of the third calculation model, and standard electric energy data is obtained, wherein the standard electric energy data is standard voltage information and/or standard electric energy information.

Further, the preset calculation weight set corresponding to each prestored motor parameter is obtained through the following steps:

presetting sample collection time and a sample collection electric energy value, and controlling a motor corresponding to a prestored motor parameter according to the sample collection time and the sample collection electric energy value to enable the motor to work according to the sample collection electric energy value in a time period of the sample collection time, wherein the sample collection electric energy value comprises voltage information and/or current information;

Acquiring temperature information and/or vibration information of a motor at different sample acquisition time and sample acquisition electric energy value, and taking the temperature information and/or vibration information as a sample acquisition environment value;

and under the condition of counting different sample acquisition time, acquiring sample acquisition environment values corresponding to different sample acquisition electric energy values to obtain a training sample set, training a first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as preset calculation weight sets.

Further, under the statistics of different sample collection times, sample collection environment values corresponding to different sample collection electric energy values obtain a training sample set, training a first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as preset calculation weight sets, wherein the method comprises the following steps:

the first preset model comprises a temperature training sub-formula and a vibration training sub-formula, the temperature training sub-formula and the vibration training sub-formula are subjected to repeated iterative training through a training sample set, and training weights in the converged temperature training sub-formula and the vibration training sub-formula are extracted;

The temperature training sub-formula and the vibration training sub-formula respectively comprise the following,

wherein,training temperature information in the sub-formula for temperature, +.>For the voltage information in the first preset model, < >>Voltage training weight value for temperature training sub-formula, +.>For the current information in the first preset model, < >>Current training weight value for temperature training sub-formula, +.>Voltage training weight value for vibration training sub-formula, +.>And training the weight value for the current of the vibration training sub-formula.

Further, the obtaining the first power volume ratio of each pre-stored motor parameter, and generating a second calculation weight set corresponding to the current motor parameter according to the first power volume ratio, includes:

determining a first power volume ratio closest to the second power volume ratio in a first parameter sequencing result as a third power volume ratio, and extracting a first calculation weight group corresponding to the third power volume ratio;

calculating according to a first calculation weight set corresponding to the third power volume ratio and a second power volume ratio corresponding to the second power volume ratio to obtain a second calculation weight set corresponding to the second power volume ratio, and calculating each weight value in the second calculation weight set through the following formula;

Wherein,for the second calculation weight group +.>Weight value->For the first calculation weight group +.>Weight value->Is->Constant values corresponding to the weight values.

The beneficial effects are that:

1. the method comprises the steps that an environment monitoring unit is used for collecting current temperature information and/or current vibration information of a motor, an electric energy monitoring unit is used for collecting current voltage information and/or current information of the motor, then a first calculation model is used for processing the current temperature information and/or the current vibration information to obtain standard electric energy data, so that comparison is carried out between the standard electric energy data and the current voltage information and/or the current information, whether the electric energy data of the motor are abnormal or not is judged, and if the electric energy data are abnormal, workers are reminded timely, in the process, the environment monitoring data are combined to calculate different standard electric energy data corresponding to different working conditions at the same moment, the data at the same moment can be compared, and the accuracy of comparison is improved; meanwhile, the second calculation model is used for processing the current voltage information and/or the current information to obtain standard environment data, so that the standard environment data is compared with the current temperature information and/or the current vibration signal, whether the structural data of the motor is abnormal or not is judged, and if the structural data is abnormal, workers are reminded in time, in the process, the electric energy monitoring data are combined to calculate different standard environment data corresponding to different working data at the same moment, and the comparison accuracy can be improved; according to the scheme, abnormal reminding can be timely carried out according to the multidimensional data of the motor, accurate monitoring and maintenance can be carried out at the initial stage of abnormality of the motor, the damage rate of the motor can be greatly reduced, and the service life of the motor is prolonged.

2. According to the scheme, when the motor has multiple types and no corresponding data of the motor types are in the database, the existing data in the database is used for deduction, in the deduction process, the first power volume ratio corresponding to each prestored motor parameter and the second power volume ratio corresponding to the current motor parameter are calculated, then the third power volume ratio closest to the second power volume ratio is found, the pre-stored environment threshold information and the pre-stored electric energy threshold information corresponding to the current motor parameter are deduced by the phase difference degree of the third power volume ratio, although the information is not very accurate, the information is relatively accurate, manual setting is not needed again, related data can be automatically obtained when the novel motor is subjected to data processing, and subsequent comparison operation is fast carried out.

3. Before the first calculation model is used for calculation, a first calculation weight set of the first calculation model is determined by using a motor label to update the first calculation model, a third calculation model is obtained, and then calculation is performed by using the third calculation model; in addition, the scheme considers that no corresponding first calculation weight group exists in a new motor database, calculates a first power volume ratio corresponding to each prestored motor parameter and a second power volume ratio corresponding to the current motor parameter, then finds a third power volume ratio closest to the second power volume ratio, derives a second calculation weight group corresponding to the current motor parameter by using the phase difference degree of the third power volume ratio, and obtains a third calculation model to perform data processing on the new motor; in addition, the scheme is further provided with a scheme of training through the training sample set to obtain preset calculation weight sets corresponding to the pre-stored motor parameters, so that the preset calculation weight sets corresponding to the pre-stored motor parameters are in accordance with practical conditions.

Drawings

Fig. 1 is a schematic structural diagram of a data acquisition device for a motor according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of processing data collected by the environmental monitoring unit and the electric energy monitoring unit according to an embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. 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.

Referring to fig. 1, a schematic structural diagram of a data acquisition device for a motor according to an embodiment of the present invention is provided, where the data acquisition device includes an environment monitoring unit, an electric energy monitoring unit, and a processor, where the environment monitoring unit may be a temperature monitoring unit and a vibration monitoring unit, and the electric energy monitoring unit may be a voltage monitoring unit and a current monitoring unit.

Referring to fig. 2, the present invention processes data collected by an environmental monitoring unit and an electric energy monitoring unit by the steps of:

s1, acquiring corresponding environment monitoring data and electric energy monitoring data based on the environment monitoring unit and the electric energy monitoring unit, wherein the environment monitoring data at least comprises current temperature information and/or current vibration information, and the electric energy monitoring data at least comprises current voltage information and/or current information.

The scheme can collect current temperature information by using a temperature monitoring unit in the environment monitoring unit and collect current vibration information by using a vibration monitoring unit; the voltage monitoring unit of the electric energy monitoring unit is used for collecting current voltage information, and the current monitoring unit is used for collecting current information.

S2, the processor invokes a motor label of the monitored motor, determines corresponding environment threshold information and electric energy threshold information according to the motor label, and outputs corresponding first reminding information if judging that the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environment threshold information and the electric energy threshold information.

It will be appreciated that the model of the motor may be different, as may the corresponding environmental and electrical energy threshold information, e.g. the power may be smaller for a smaller motor, and the threshold for the corresponding voltage and current information may be smaller.

Therefore, the motor label of the monitored motor can be obtained, and then the corresponding environment threshold information and the corresponding electric energy threshold information are determined by utilizing the motor label.

When the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environment threshold information and the electric energy threshold information, the motor is indicated to be abnormal, corresponding first reminding information is output, workers are timely reminded, the damage rate of the motor is greatly reduced, and the service life of the motor is prolonged.

In some embodiments, S2 (the processor invokes a motor tag of the monitored motor, determines corresponding environmental threshold information and electrical energy threshold information according to the motor tag, and if it is determined that the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environmental threshold information and the electrical energy threshold information, outputs corresponding first alert information) includes S21-S23:

S21, the processor invokes a motor label of the monitored motor, wherein the motor label comprises a motor model, and preset environment threshold information and electric energy threshold information are determined according to the motor model.

It can be understood that different motor models and corresponding motor labels are different, and the scheme can determine preset environment threshold information and preset electric energy threshold information by using the motor models in advance for subsequent corresponding comparison.

S22, if the current temperature information and/or the current vibration information are/is judged to be greater than the environment threshold information, outputting first reminding information, wherein the environment threshold information comprises preset temperature information and/or preset vibration information, and the first reminding information is temperature abnormality reminding information and/or vibration abnormality reminding information.

It can be understood that when the current temperature information and/or the current vibration information is greater than the environmental threshold information, the temperature abnormality and/or vibration abnormality is indicated, and at this time, the temperature abnormality reminding information and/or vibration abnormality reminding information needs to be output to inform the staff.

In practical application, the abnormal temperature reminding information can be, for example, that the current motor working temperature is higher, the abnormal vibration reminding information can be that the current motor shaking degree is higher, and also can be that screws are loosened, a motor fixing structure is loosened and the like, and can be specifically set according to practical conditions.

S23, if the current voltage information and/or the current information are/is judged to be greater than the electric energy threshold information, outputting first reminding information, wherein the electric energy threshold information comprises preset voltage information and/or preset current information, and the first reminding information is voltage abnormality reminding information and/or current abnormality reminding information.

It can be understood that when the current voltage information and/or the current information are/is greater than the electric energy threshold information, the voltage abnormality and/or the current abnormality is/are indicated, and at this time, the voltage abnormality reminding information and/or the current abnormality reminding information need to be output to inform the staff.

In practical application, the voltage abnormality reminding information can be information such as short circuit of the motor, overlarge working voltage and the like, and the voltage abnormality reminding information can be information such as unstable current working current and the like, and can be specifically set according to practical conditions.

Based on the above embodiment, the present invention also considers that some motor models may not be added into the database, so that the subsequent data processing cannot be performed on the motor, and therefore, the embodiment of the present invention further includes A1-A4:

a1, if the processor judges that the environment threshold information and the electric energy threshold information corresponding to the motor label do not exist, extracting current motor parameters corresponding to the motor label and sending the current motor parameters to a server.

And when the processor judges that the environment threshold information and the electric energy threshold information corresponding to the motor label do not exist, extracting the current motor parameter corresponding to the motor label and sending the current motor parameter to the server. It will be appreciated that the present solution updates the corresponding motor data to the database.

A2, the server determines corresponding types of pre-stored motor parameters in the database according to the current motor parameters, wherein each pre-stored motor parameter is provided with corresponding pre-stored environment threshold information and pre-stored electric energy threshold information.

It can be understood that, in order to perform subsequent data processing on the non-existing motor model, the present motor parameters existing in the server are utilized to determine the pre-stored motor parameters of the corresponding types in the database, and each pre-stored motor parameter has corresponding pre-stored environment threshold information and pre-stored electric energy threshold information.

A3, acquiring power information and volume information in each pre-stored motor parameter, obtaining a first power volume ratio of the corresponding pre-stored motor parameter for the power information and the volume information, and generating pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter according to the first power volume ratio.

In a general practical scenario, the power information of the motor is related to the voltage and current of the motor, and the larger the power is, the larger the relative voltage and current will be. The volume information of the motor is related to the temperature and the vibration of the motor, in general, the larger the volume of the motor with the same power is, the smaller the corresponding vibration degree in the working process of the motor is, because the larger the volume of the motor is, the larger the fixed area is when the motor is fixed, and the centrifugal force when the motor rotates is shared by each position, the larger the area is, the smaller the centrifugal force born by the unit area is, so the vibration amplitude and the volume are in inverse proportion. And because the volume is big, radiator fan's fan area, motor and outside area of contact can all be bigger relatively, and the heat dissipation of motor is quicker relatively this moment, and the temperature in the motor working process that corresponds can be relatively less.

Therefore, the scheme obtains a first power-volume ratio of the corresponding pre-stored motor parameters from the power information and the volume information in each pre-stored motor parameter, and then generates pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameters according to the first power-volume ratio.

And A4, the server sends the pre-stored environment threshold information and the pre-stored electric energy threshold information determined by the current motor parameters to the processor.

After the pre-stored environment threshold information and the pre-stored electric energy threshold information determined by the current motor parameters are obtained, the pre-stored environment threshold information and the pre-stored electric energy threshold information are added into the processor, and the database corresponding to the processor is updated, so that the processor can process a new type of motor.

In some embodiments, A3 (the step of obtaining the power information and the volume information in each pre-stored motor parameter, obtaining a power volume ratio of the corresponding pre-stored motor parameter for the power information and the volume information, and generating pre-stored environment threshold information and pre-stored power threshold information corresponding to the current motor parameter according to the power volume ratio) includes a31-a34:

a31, respectively carrying out normalization processing on the power information and the volume information of the pre-stored motor parameters to obtain corresponding power coefficients and volume coefficients, and comparing the power coefficients with the volume coefficients to obtain a first power-volume ratio corresponding to each pre-stored motor parameter.

It can be understood that the power information and the volume information have different corresponding units, the power information and the volume information are normalized to obtain corresponding power coefficients and volume coefficients, and then the power coefficients and the volume coefficients are compared to obtain a first power-volume ratio corresponding to each prestored motor parameter.

A32, sorting the prestored motor parameters in a descending order according to all the first power volume ratios to obtain a first parameter sorting result.

After the first power volume ratio is obtained, all the first power volume ratios are ordered in descending order, and a first parameter ordering result is obtained. That is, in the first parameter sorting result, the first power volume ratio of the first order is larger, and the first power volume ratio of the second order is smaller.

A33, respectively carrying out normalization processing on the power information and the volume information of the current motor parameter to obtain a corresponding power coefficient and a corresponding volume coefficient, and comparing the power coefficient and the volume coefficient to obtain a second power volume ratio corresponding to the current motor parameter.

And (3) the same as the step A31, the power information and the volume information of the current motor parameter have different corresponding units, the scheme firstly carries out normalization processing on the power information and the volume information of the current motor parameter to obtain the corresponding power coefficient and the corresponding volume coefficient of the current motor parameter, and then, the power coefficient and the volume coefficient of the current motor parameter are compared to obtain the corresponding second power volume ratio of the current motor parameter.

And A34, determining a first power volume ratio closest to the second power volume ratio in the first parameter sequencing result as a third power volume ratio, and calculating according to the third power volume ratio and the second power volume ratio to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameters.

It can be understood that the first power volume ratio closest to the second power volume ratio in the first parameter sequencing result is found and used as the third power volume ratio, and then the third power volume ratio and the second power volume ratio are used for calculation to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameters.

In some embodiments, a34 (the determining, as the third power volume ratio, the first power volume ratio closest to the second power volume ratio in the first parameter sorting result, and calculating according to the third power volume ratio and the second power volume ratio to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameter) includes:

the first power volume ratio and the second power volume ratio are calculated by the following formula,

wherein,is->First power-to-volume ratio of pre-stored motor parameters,/->Is->Power information of the motor parameters is pre-stored, +.>Normalize the weight value for power, +.>Is->Volume information of the motor parameters is pre-stored, +.>Normalize the weight value for volume, +.>For a second power volume ratio, +. >For the power information of the current motor parameter, +.>Volume information of current motor parameters;

in the above-mentioned formula(s),represents->Power coefficient of a pre-stored motor parameter, +.>Represents->The volume coefficients of the motor parameters are prestored; />Power coefficient representing current motor parameter, +.>Representing the volume coefficient of the current motor parameter; wherein the power normalization weight value +.>And volume normalized weight value->May be preset. It will be appreciated that when +.>Power information of individual pre-stored motor parameters +.>Or the power information of the current motor parameter +.>When larger, the corresponding power normalization weight value +.>Will be smaller to attenuate the calculation error brought by the power dimension; similarly, when->Volume information of individual pre-stored motor parameters +.>Or volume information of the current motor parameter +.>When larger, the corresponding volume normalization weight value +.>Smaller to mitigate computational errors due to the volumetric dimensions.

And calculating the absolute value of the difference value of each first power volume ratio and each second power volume ratio to obtain a ratio difference value, and taking the first power volume ratio corresponding to the smallest ratio difference value as a third power volume ratio. It will be appreciated that the present solution finds the first power volume ratio closest to the second power volume ratio, and uses it as the third power volume ratio.

The pre-stored environmental threshold information and pre-stored electrical energy threshold information corresponding to the current motor parameters are calculated by the following formulas,

wherein,pre-stored environment threshold information corresponding to current motor parameters, < ->Pre-stored environmental threshold information corresponding to the third power volume ratio,>for a third power volume ratio, +.>Presetting a constant value for the environment, < >>For the environmental weight value, +.>Pre-stored power threshold information corresponding to the third power volume ratio,>pre-stored electric energy threshold information corresponding to current motor parameters, < >>Presetting a constant value for electric energy, < >>Is the power weight value.

In the above-mentioned formula(s),aiming at pre-stored environment threshold information corresponding to current motor parameters, < +.>Representing the difference value between the third power volume ratio and the second power volume ratio, the larger the difference value is, the pre-stored environment threshold value information corresponding to the third power volume ratio is required to be +.>The larger the amplitude of the adjustment is, it will be appreciated that when +.>Is greater than->When the power is in the first state, pre-stored environment threshold information corresponding to the third power volume ratio is about>Enlargement process, when->Less than->When the power is in the first state, pre-stored environment threshold information corresponding to the third power volume ratio is about>Reducing; />Aiming at pre-stored electric energy threshold information corresponding to current motor parameters, < > >Representing the difference value between the third power volume ratio and the second power volume ratio, the larger the difference value is, the pre-stored electric energy threshold value information corresponding to the third power volume ratio is needed to be +.>The greater the amplitude of the adjustment, the more understandableWhat is, when->Is greater than->When the power is in the first state, the power is stored in the first storage device, and the power is stored in the second storage device>Enlargement process, when->Less than->When the power is in the first state, the power is stored in the first storage device, and the power is stored in the second storage device>Reducing; wherein the environmental weight value ∈ ->And electric energy weight value->May be preset. It will be appreciated that when the pre-stored environmental threshold information corresponding to the third power volume ratio +.>When larger, the corresponding environmental weight value +.>The adjustment range is smaller, so that the adjustment range meets the actual requirement; pre-stored power threshold information corresponding to the third power volume ratio +.>When larger, the corresponding electricityEnergy weight value->The adjustment range is smaller, so that the adjustment range meets the actual requirement.

And S3, the processor invokes a preset first calculation model, inputs the environment monitoring data into the first calculation model to obtain standard electric energy data, and generates an electric energy abnormality reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data.

It can be understood that, because the working environments of the motors are different, the corresponding voltage data and current data are different, the scheme can obtain the monitoring data simultaneously, namely, the environment monitoring data (the current temperature information and/or the current vibration information) and the standard electric energy data corresponding to the environment monitoring data are obtained simultaneously, and if the standard electric energy data and the electric energy monitoring data at the same moment are not corresponding, the working data of the current motor are abnormal, and an electric energy abnormality reminding signal is generated.

In some embodiments, S3 (the processor invokes a preset first calculation model, inputs the environmental monitoring data into the first calculation model to obtain standard power data, and generates a power abnormality alert signal if the standard power data does not correspond to the power monitoring data) includes S31-S34:

s31, the processor determines a corresponding first calculation model according to the motor label, and determines a first calculation weight set of the first calculation model according to the motor label to obtain a third calculation model.

It can be understood that the first calculation model is an initial model without corresponding weights, the initial first calculation models corresponding to different motor labels are identical, but the values of the related weight sets are different.

S32, taking the current temperature information and/or the current vibration information as the input of a third calculation model to obtain standard electric energy data, wherein the standard electric energy data is standard voltage information and/or standard electric energy information.

After the third calculation model is obtained, the third calculation model can be utilized to perform related calculation, and the collected current temperature information and/or current vibration information is input into the third calculation model to obtain standard electric energy data for subsequent comparison, wherein the standard electric energy data is standard voltage information and/or standard electric energy information.

S33, calculating the difference between the current voltage information and the standard voltage information to obtain a first voltage difference value, and calculating the difference between the current information and the standard current information to obtain a first current difference value.

The scheme can acquire current voltage information and current information of the current motor, and then makes a difference with standard voltage information and standard current information to obtain a corresponding first voltage difference value and a corresponding first current difference value.

And S34, if the first voltage difference value is larger than the voltage difference threshold value and/or the first current difference value is larger than the current difference threshold value, judging that the electric energy monitoring data do not correspond to each other, and generating an electric energy abnormality reminding signal.

It can be appreciated that if the first voltage difference is greater than the voltage difference threshold and/or the first current difference is greater than the current difference threshold, the abnormal electric energy data of the motor is indicated, and a warning signal of abnormal electric energy is generated at this time and sent to a staff for warning.

In practical application, the first calculation weight set of the first calculation model cannot be determined according to the motor label, so on the basis of the above embodiment, the method further includes B1-B4:

and B1, if the processor judges that the first calculation weight set of the first calculation model cannot be determined according to the motor label, extracting the current motor parameter corresponding to the motor label and sending the current motor parameter to a server.

According to the scheme, the first calculation weight set of the first calculation model is determined according to the current motor parameters corresponding to the motor labels, so that the current motor parameters corresponding to the motor labels are extracted and sent to the server.

And B2, the server determines corresponding types of pre-stored motor parameters in the database according to the current motor parameters, wherein each pre-stored motor parameter has a corresponding preset calculation weight set.

The server determines the pre-stored motor parameters of the corresponding types in the database by using the current motor parameters after receiving the current motor parameters, wherein each pre-stored motor parameter has a corresponding preset calculation weight set.

In some embodiments, the preset calculation weight set corresponding to each pre-stored motor parameter may be obtained through the following steps, specifically including B21-B23:

b21, presetting sample collection time and a sample collection electric energy value, controlling a motor corresponding to the prestored motor parameter according to the sample collection time and the sample collection electric energy value, so that the motor works according to the sample collection electric energy value in a time period of the sample collection time, wherein the sample collection electric energy value comprises voltage information and/or current information.

The scheme can control the motor corresponding to the prestored motor parameter by utilizing the sample collection time and the sample collection electric energy value, and then collect voltage information and/or current information in real time.

And B22, acquiring temperature information and/or vibration information of the motor at different sample acquisition time and sample acquisition electric energy value, and taking the temperature information and/or vibration information as a sample acquisition environment value.

The scheme can transform sample collection time and sample collection electric energy value, so that temperature information and/or vibration information of the collection motor are used as sample collection environment values when the sample collection time and the sample collection electric energy value are different.

And B23, under the condition of counting different sample collection times, obtaining a training sample set by counting sample collection environment values corresponding to different sample collection electric energy values, training a first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as preset calculation weight sets.

It can be understood that under the different sample collection time, the present solution can count the sample collection environment values corresponding to the different sample collection electric energy values to obtain a training sample set, and then, training the first preset model by using the training sample set to obtain the training weight corresponding to the prestored motor parameter, and taking the training weight as the preset calculation weight set.

In some embodiments, B23 (under the statistics of different sample collection times, sample collection environment values corresponding to different sample collection electric energy values obtain a training sample set, training a first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as preset calculation weight sets) includes:

the first preset model comprises a temperature training sub-formula and a vibration training sub-formula, the temperature training sub-formula and the vibration training sub-formula are subjected to repeated iterative training through a training sample set, and training weights in the converged temperature training sub-formula and the vibration training sub-formula are extracted;

The temperature training sub-formula and the vibration training sub-formula respectively comprise the following,

wherein,training temperature information in the sub-formula for temperature, +.>For vibration information in the vibration training sub-formula,for the voltage information in the first preset model, < >>Voltage training weight value for temperature training sub-formula, +.>For the current information in the first preset model, < >>Current training weight value for temperature training sub-formula, +.>Voltage training weight value for vibration training sub-formula, +.>And training the weight value for the current of the vibration training sub-formula.

In the above formula, temperature information in the temperature training sub-formula can be input during trainingVoltage information +.>And current information in the first preset model +.>To obtain the voltage training weight value +.>And the current training weight value of the temperature training sub-formula +.>The value or correspondence of (2); similarly, inDuring training, vibration information in the vibration training sub-formula can be input>Voltage information +.>And current information in the first preset model +.>To obtain the voltage training weight value +.>Current training weight value The value or correspondence of (2); wherein, the voltage training weight value of the temperature training sub-formula +.>Current training weight value of temperature training sub-formula +.>Voltage training weight value of vibration training sub-formula +.>Current training weight value of vibration training sub-formula +.>Either a value or a function, such as a unitary or binary linear function. It will be appreciated that when the voltage information +.>When larger, corresponding +.>And->The voltage dimension calculation error in the comprehensive calculation process is reduced; similarly, when the current information->When larger, corresponding +.>And->The calculation error of the current dimension in the comprehensive calculation process is reduced.

It should be noted that, the above embodiment is only described with respect to the first preset model (the temperature training sub-formula and the vibration training sub-formula) corresponding to the first calculation model. For the second calculation model, a second preset model (voltage training sub-formula and current training sub-formula) corresponding to the first preset model is used for processing, and training weights in the converged voltage training sub-formula and current training sub-formula are extracted, wherein the second preset model is the same as the first preset model in form, but the parameters represent different meanings, for example, the formulas are Representing the voltage information in the voltage training sub-formula,/->The temperature information in the second preset model is represented, and so on, and the principle and effect are similar to those of the above embodiment, and are not described herein.

And B3, acquiring a first power volume ratio of each pre-stored motor parameter, and generating a second calculation weight set corresponding to the current motor parameter according to the first power volume ratio.

The scheme can calculate a second calculation weight set corresponding to the current motor parameter according to the first power volume ratio of each prestored motor parameter.

In some embodiments, B3 (the step of obtaining a first power-volume ratio of each pre-stored motor parameter, and generating a second calculation weight set corresponding to the current motor parameter according to the first power-volume ratio) includes B31-B32:

and B31, determining a first power volume ratio closest to the second power volume ratio in the first parameter sequencing result as a third power volume ratio, and extracting a first calculation weight set corresponding to the third power volume ratio.

It can be understood that the first power volume ratio closest to the second power volume ratio in the first parameter sequencing result is found and used as the third power volume ratio, and then the third power volume ratio and the second power volume ratio are used for calculation to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameters.

B32, calculating according to the first calculation weight set corresponding to the third power volume ratio and the second power volume ratio corresponding to the second power volume ratio to obtain a second calculation weight set corresponding to the second power volume ratio, and calculating each weight value in the second calculation weight set through the following formula;

wherein,for the second calculation weight group +.>Weight value->For the first calculation weight group +.>Weight value->Is->Constant values corresponding to the weight values.

In the above-mentioned formula(s),aiming at the +.>Weight value->Representing the difference between the third power volume ratio and the second power volume ratio, the larger the difference is, the more +.>Personal weight value->The larger the amplitude of the adjustment is, it will be appreciated that when +.>Is greater than->In the case, the first calculation weight set is given to +.>Personal weight value->Enlargement process, when->Less than->In the case, the first calculation weight set is given to +.>Personal weight value->Let down treatment, th->Constant value corresponding to the weight value +.>May be preset by a worker.

And B4, the server sends the second calculation weight group to the processor, the processor updates the first calculation model according to the second calculation weight group to obtain a third calculation model, current temperature information and/or current vibration information are used as input of the third calculation model, and standard electric energy data is obtained, wherein the standard electric energy data is standard voltage information and/or standard electric energy information.

After obtaining the second calculation weight set, the server sends the second calculation weight set to the processor, and then updates the first calculation model by using the second calculation weight set to obtain a third calculation model.

After the third calculation model is obtained, the pre-temperature information and/or the current vibration information can be used as input of the third calculation model to obtain standard electric energy data, wherein the standard electric energy data is standard voltage information and/or standard electric energy information.

It should be noted that, the foregoing embodiments are only described with respect to the first computing model, and principles and effects of obtaining the second computing weight set and the corresponding third computing model with respect to the second computing model are similar, and are not repeated herein.

And S4, the processor invokes a preset second calculation model, inputs the electric energy monitoring data into the second calculation model to obtain standard environment data, and generates a structural abnormality reminding signal if the standard environment data does not correspond to the environment monitoring data.

It can be understood that under different working conditions, the corresponding temperature and jitter of the same motor are different, and the scheme can input the electric energy monitoring data into the second calculation model to obtain standard environmental data at the same moment. It should be noted that, the specific implementation principle and effect of the step S4 are similar to those of the step S3, and are not described herein.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.

Claims (2)

1. A data acquisition device for an electric machine, the data acquisition device comprising an environmental monitoring unit, an electric energy monitoring unit and a processor, the data acquired by the environmental monitoring unit and the electric energy monitoring unit being processed by the steps of:

acquiring corresponding environment monitoring data and electric energy monitoring data based on the environment monitoring unit and the electric energy monitoring unit, wherein the environment monitoring data at least comprises current temperature information and/or current vibration information, and the electric energy monitoring data at least comprises current voltage information and/or current information;

the processor invokes a motor label of the monitored motor, determines corresponding environment threshold information and electric energy threshold information according to the motor label, and outputs corresponding first reminding information if judging that the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environment threshold information and the electric energy threshold information;

The processor invokes a preset first calculation model, inputs the environment monitoring data into the first calculation model to obtain standard electric energy data, and generates an electric energy abnormality reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data;

the processor invokes a preset second calculation model, inputs the electric energy monitoring data into the second calculation model to obtain standard environment data, and generates a structural abnormality reminding signal if the standard environment data does not correspond to the environment monitoring data;

the processor invokes a preset first calculation model, inputs the environmental monitoring data into the first calculation model to obtain standard electric energy data, and generates an electric energy abnormality reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data, including:

the processor determines a corresponding first calculation model according to the motor label, and determines a first calculation weight set of the first calculation model according to the motor label to obtain a third calculation model;

taking the current temperature information and/or the current vibration information as the input of a third calculation model to obtain standard electric energy data, wherein the standard electric energy data is standard voltage information and/or standard electric energy information;

Calculating the difference between the current voltage information and the standard voltage information to obtain a first voltage difference value, and calculating the difference between the current information and the standard current information to obtain a first current difference value;

if the first voltage difference value is larger than the voltage difference threshold value and/or the first current difference value is larger than the current difference threshold value, judging that the electric energy monitoring data do not correspond to each other, and generating an electric energy abnormality reminding signal;

the first calculation model and the second calculation model are preset initial models which are not provided with corresponding weights;

further comprises:

if the processor judges that the environment threshold information and the electric energy threshold information corresponding to the motor label do not exist, extracting current motor parameters corresponding to the motor label and sending the current motor parameters to a server;

the server determines corresponding types of pre-stored motor parameters in a database according to the current motor parameters, wherein each pre-stored motor parameter is provided with corresponding pre-stored environment threshold information and pre-stored electric energy threshold information;

acquiring power information and volume information in each pre-stored motor parameter, obtaining a first power volume ratio of the corresponding pre-stored motor parameter for the power information and the volume information, and generating pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter according to the first power volume ratio;

The server sends pre-stored environment threshold information and pre-stored electric energy threshold information determined by the current motor parameters to a processor;

the step of obtaining the power information and the volume information in each pre-stored motor parameter, obtaining the power volume ratio of the corresponding pre-stored motor parameter for the power information and the volume information, and generating pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter according to the power volume ratio, comprising the following steps:

respectively carrying out normalization processing on the power information and the volume information of the pre-stored motor parameters to obtain corresponding power coefficients and volume coefficients, and comparing the power coefficients with the volume coefficients to obtain a first power volume ratio corresponding to each pre-stored motor parameter;

the pre-stored motor parameters are ordered in a descending order according to all the first power volume ratios, and a first parameter ordering result is obtained;

respectively carrying out normalization processing on the power information and the volume information of the current motor parameters to obtain corresponding power coefficients and volume coefficients, and comparing the power coefficients with the volume coefficients to obtain a second power volume ratio corresponding to the current motor parameters;

determining a first power volume ratio closest to the second power volume ratio in a first parameter sequencing result as a third power volume ratio, and calculating according to the third power volume ratio and the second power volume ratio to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to corresponding current motor parameters;

The determining, as a third power volume ratio, a first power volume ratio closest to the second power volume ratio in the first parameter sorting result, and calculating according to the third power volume ratio and the second power volume ratio, to obtain pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the corresponding current motor parameter, where the determining includes:

the first power volume ratio and the second power volume ratio are calculated by the following formula,

，

wherein,is->First power-to-volume ratio of pre-stored motor parameters,/->Is->Power information of the motor parameters is pre-stored, +.>Normalize the weight value for power, +.>Is->The volume information of the motor parameters is pre-stored,normalize the weight value for volume, +.>For a second power volume ratio, +.>As the power information of the current motor parameter,volume information of current motor parameters;

calculating the absolute value of the difference value of each first power volume ratio and each second power volume ratio to obtain a ratio difference value, and taking the first power volume ratio corresponding to the smallest ratio difference value as a third power volume ratio;

the pre-stored environmental threshold information and pre-stored electrical energy threshold information corresponding to the current motor parameters are calculated by the following formulas,

，

Wherein,pre-stored environment threshold information corresponding to current motor parameters, < ->Pre-stored environmental threshold information corresponding to the third power volume ratio,>is the third onePower to volume ratio>Presetting a constant value for the environment, < >>For the environmental weight value, +.>Pre-stored power threshold information corresponding to the third power volume ratio,>pre-stored electric energy threshold information corresponding to current motor parameters, < >>Presetting a constant value for electric energy, < >>Is an electric energy weight value;

further comprises:

if the processor judges that the first calculation weight set of the first calculation model cannot be determined according to the motor label, extracting the current motor parameter corresponding to the motor label and sending the current motor parameter to a server;

the server determines corresponding types of pre-stored motor parameters in a database according to the current motor parameters, wherein each pre-stored motor parameter is provided with a corresponding preset calculation weight set;

acquiring a first power volume ratio of each pre-stored motor parameter, and generating a second calculation weight set corresponding to the current motor parameter according to the first power volume ratio;

the server sends the second calculation weight group to a processor, the processor updates the first calculation model according to the second calculation weight group to obtain a third calculation model, current temperature information and/or current vibration information are used as input of the third calculation model, and standard electric energy data is obtained, wherein the standard electric energy data is standard voltage information and/or standard electric energy information;

The preset calculation weight set corresponding to each prestored motor parameter is obtained through the following steps:

presetting sample collection time and a sample collection electric energy value, and controlling a motor corresponding to a prestored motor parameter according to the sample collection time and the sample collection electric energy value to enable the motor to work according to the sample collection electric energy value in a time period of the sample collection time, wherein the sample collection electric energy value comprises voltage information and/or current information;

acquiring temperature information and/or vibration information of a motor at different sample acquisition time and sample acquisition electric energy value, and taking the temperature information and/or vibration information as a sample acquisition environment value;

under the condition of counting different sample acquisition time, acquiring sample acquisition environment values corresponding to different sample acquisition electric energy values to obtain a training sample set, training a first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as preset calculation weight groups;

under the statistics of different sample acquisition time, sample acquisition environment values corresponding to different sample acquisition electric energy values obtain a training sample set, training a first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as preset calculation weight sets, wherein the method comprises the following steps:

The first preset model comprises a temperature training sub-formula and a vibration training sub-formula, the temperature training sub-formula and the vibration training sub-formula are subjected to repeated iterative training through a training sample set, and training weights in the converged temperature training sub-formula and the vibration training sub-formula are extracted;

the temperature training sub-formula and the vibration training sub-formula respectively comprise the following,

，

wherein,training temperature information in the sub-formula for temperature, +.>For vibration information in the vibration training sub-formula,for the voltage information in the first preset model, < >>Voltage training weight value for temperature training sub-formula, +.>For the current information in the first preset model, < >>Current training weight value for temperature training sub-formula, +.>Voltage training weight value for vibration training sub-formula, +.>A current training weight value for the vibration training sub-formula;

the obtaining the first power volume ratio of each pre-stored motor parameter, and generating a second calculation weight set corresponding to the current motor parameter according to the first power volume ratio, includes:

determining a first power volume ratio closest to the second power volume ratio in a first parameter sequencing result as a third power volume ratio, and extracting a first calculation weight group corresponding to the third power volume ratio;

Calculating according to a first calculation weight set corresponding to the third power volume ratio and a second power volume ratio corresponding to the second power volume ratio to obtain a second calculation weight set corresponding to the second power volume ratio, and calculating each weight value in the second calculation weight set through the following formula;

，

wherein,for the second calculation weight group +.>Weight value->For the first calculation weight group +.>Weight value->Is->Constant values corresponding to the weight values.

2. The data acquisition device for an electric machine of claim 1, wherein,

the processor invokes a motor label of the monitored motor, determines corresponding environment threshold information and electric energy threshold information according to the motor label, and outputs corresponding first reminding information if judging that the current temperature information and/or the current vibration information, the current voltage information and/or the current information do not meet the requirements of the environment threshold information and the electric energy threshold information, wherein the first reminding information comprises:

the method comprises the steps that a processor invokes a motor label of a monitored motor, wherein the motor label comprises a motor model, and preset environment threshold information and electric energy threshold information are determined according to the motor model;

If the current temperature information and/or the current vibration information are/is judged to be greater than the environment threshold information, outputting first reminding information, wherein the environment threshold information comprises preset temperature information and/or preset vibration information, and the first reminding information is temperature abnormality reminding information and/or vibration abnormality reminding information;

if the current voltage information and/or the current information are/is judged to be greater than the electric energy threshold information, outputting first reminding information, wherein the electric energy threshold information comprises preset voltage information and/or preset current information, and the first reminding information is voltage abnormality reminding information and/or current abnormality reminding information.