CN115236509A

CN115236509A - Data acquisition device for an electric machine

Info

Publication number: CN115236509A
Application number: CN202210941078.8A
Authority: CN
Inventors: 周剑; 刘霞; 刘蕾; 黄玉虎; 袁鑫; 贲柯楠; 钱凯; 周峰
Original assignee: Jiangsu Dazhong Electric Motor Co ltd
Current assignee: Jiangsu Dazhong Electric Motor Co ltd
Priority date: 2022-08-08
Filing date: 2022-08-08
Publication date: 2022-10-25
Anticipated expiration: 2042-08-08
Also published as: CN115236509B

Abstract

The invention provides a data acquisition device for a motor.A processor calls a motor label of a 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 calls 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 abnormity reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data; the processor calls a preset second calculation model, the electric energy monitoring data are input into the second calculation model to obtain standard environment data, and if the standard environment data do not correspond to the environment monitoring data, a structural abnormality reminding signal is generated.

Description

Data acquisition device for an electric machine

Technical Field

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

Background

The motor is an electromagnetic device for realizing electric energy conversion or transmission according to an electromagnetic induction law. In the use process of the motor, the motor can do work after being electrified, and the subsequent work is completed.

In the actual use process of the motor, various abnormal faults can occur. For example, the motor is burnt due to overvoltage, overcurrent and the like, or the motor temperature is too high due to overlarge vibration caused by abnormal looseness generated by a mechanical connection structure of the motor and incapability of normal heat dissipation of the heat dissipation fins, and the like. Generally, motors start from small abnormalities and gradually expand, so that large loss is caused, if accurate monitoring and maintenance can be performed at the initial stage of motor abnormality, the damage rate of the motors can be greatly reduced, and the service life of the motors is prolonged, so that a method for timely reminding the abnormality according to multi-dimensional data of the motors is urgently needed.

Disclosure of Invention

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

The embodiment of the invention provides data acquisition equipment for a motor, which comprises an environment monitoring unit, an electric energy monitoring unit and a processor, wherein the data acquired by the environment monitoring unit and the electric energy monitoring unit is processed by the following 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 calls 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 the current temperature information and/or the current vibration information, the current voltage information and/or the current information are judged not to meet the requirements of the environment threshold information and the electric energy threshold information;

the processor calls 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 abnormity reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data;

the processor calls a preset second calculation model, the electric energy monitoring data are input into the second calculation model to obtain standard environment data, and if the standard environment data do not correspond to the environment monitoring data, a structural abnormality reminding signal is generated.

Further, the processor calls 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 the current temperature information and/or the current vibration information, the current voltage information and/or the current information are judged not to meet the requirements of the environment threshold information and the electric energy threshold information, and the method includes the following steps:

the method comprises the steps that a processor calls 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 judged to be larger than the environmental threshold information, outputting first reminding information, wherein the environmental threshold information comprises preset temperature information and/or preset vibration information, and the first reminding information is temperature abnormity reminding information and/or vibration abnormity reminding information;

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

Further, the method also comprises the following steps:

if the processor judges that the environmental 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 a server;

the server determines pre-stored motor parameters of corresponding types in a database according to the current motor parameters, wherein each pre-stored motor parameter has 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 the processor.

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

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

according to all the first power volume ratios, sorting pre-stored motor parameters in a descending order to obtain a first parameter sorting result;

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 determining a first power volume ratio which is 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 current motor parameter.

Further, the determining a first power volume ratio closest to the second power volume ratio in the first parameter sorting 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 current motor parameter includes:

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

wherein, the first and the second end of the pipe are connected with each other,

is a first

A first power-to-volume ratio of a pre-stored motor parameter,

is as follows

Power information of a pre-stored motor parameter,

in order to power-normalize the weight values,

is a first

Volume information of a pre-stored motor parameter,

in order to be a volume-normalized weight value,

in order to provide the second power-to-volume ratio,

is the power information of the current motor parameter,

volume information of the current motor parameter;

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

pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameters are calculated through the following formulas,

wherein the content of the first and second substances,

is pre-stored environment threshold value information corresponding to the current motor parameter,

pre-stored environmental threshold information corresponding to the third power-to-volume ratio,

is a third power bodyThe ratio of the product to the product,

a constant value is preset for the environment,

is a value of the environmental weight,

is the pre-stored electric energy threshold value information corresponding to the third power volume ratio,

is pre-stored electric energy threshold value information corresponding to the current motor parameter,

a constant value is preset for the electrical energy,

is the electric energy weight value.

Further, the processor calls 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 abnormity prompting 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 group 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 a difference value between the current voltage information and the standard voltage information to obtain a first voltage difference value, and calculating a difference value between the current information and the standard current information to obtain a first current difference value;

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

Further, the method also comprises the following steps:

if the processor judges that the first calculation weight group 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 the server;

the server determines pre-stored motor parameters of corresponding types in a database according to the current motor parameters, wherein each pre-stored motor parameter has 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;

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

Further, the obtaining of the preset calculation weight set corresponding to each pre-stored motor parameter through the following steps specifically includes:

presetting sample collection time and a sample collection electric energy value, and controlling a motor corresponding to prestored motor parameters 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 within 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 values, and taking the temperature information and/or the vibration information as sample acquisition environment values;

counting sample collection environment values corresponding to different sample collection electric energy values at different sample collection time 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 a preset calculation weight set.

Further, the counting of the sample collection environment values corresponding to different sample collection electric energy values at different sample collection times 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 using the training weights as a preset calculation weight set 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 converged vibration training sub-formula are extracted;

the temperature training subformula and the vibration training subformula respectively comprise the following components,

wherein the content of the first and second substances,

for temperature information in the temperature training sub-formula,

for the voltage information in the first predetermined model,

training the weight values for the voltage of the temperature training sub-formula,

for the current information in the first predetermined model,

the current training weight value for the temperature training sub-formula,

the weight values are trained for the voltage of the vibration training sub-formula,

and training the weighted value for the current of the vibration training subprogram.

Further, the 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:

determining a first power volume ratio which is closest to the second power volume ratio in a first parameter sorting 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 group 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 group corresponding to the second power volume ratio, and calculating each weight value in the second calculation weight group according to the following formula;

wherein the content of the first and second substances,

for the second computing weight set

A weight value of each of the plurality of weight values,

for the first computing weight set

The weight value of each of the plurality of weight values,

is a first

And the weight values correspond to constant values.

Has the advantages that:

1. according to the scheme, the environment monitoring unit is used for acquiring current temperature information and/or current vibration information of the motor, the electric energy monitoring unit is used for acquiring current voltage information and/or current information of the motor, then the 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 the standard electric energy data are compared with the current voltage information and/or the current information to judge whether the electric energy data of the motor are abnormal or not, if the electric energy data are abnormal, workers are reminded in time, in the process, the scheme is combined with the environment monitoring data to calculate different standard electric energy data corresponding to the motor at the same time and under different working conditions, the data at the same time can be compared, and the comparison accuracy is improved; meanwhile, the current voltage information and/or current information are/is processed by utilizing the second calculation model to obtain standard environment data, so that the standard environment data are compared with the current temperature information and/or current vibration information to judge whether the structural data of the motor are abnormal or not, and if the structural data are abnormal, workers are reminded in time, in the process, the scheme combines the electric energy monitoring data to calculate different standard environment data corresponding to different working data at the same time, so that the comparison accuracy can be improved; according to the scheme, abnormity reminding can be timely carried out according to the multidimensional data of the motor, accurate monitoring and maintenance can be carried out at the abnormal initial stage 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, the motors are of various models, when data corresponding to the corresponding motor models do not exist in a database, the existing data in the database are used for deducing, in the deducing process, a first power volume ratio corresponding to each pre-stored motor parameter and a second power volume ratio corresponding to the current motor parameter are calculated, then a third power volume ratio closest to the second power volume ratio is found, and pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter are deduced by using the difference degree of the third power volume ratio.

3. Before the first calculation model is used for calculation, the first calculation weight group of the first calculation model is determined by using the motor label, the first calculation model is updated to obtain a third calculation model, and then the third calculation model is used for calculation; in addition, in the scheme, the fact that no corresponding first calculation weight set exists in a new motor database is considered, a first power volume ratio corresponding to each pre-stored motor parameter and a second power volume ratio corresponding to the current motor parameter are calculated, then a third power volume ratio closest to the second power volume ratio is found, a second calculation weight set corresponding to the current motor parameter is derived by utilizing the difference degree of the third power volume ratio, and a third calculation model is obtained to perform data processing on the new motor; in addition, the scheme that the preset calculation weight set corresponding to each pre-stored motor parameter is obtained through training by the training sample set is further arranged, so that the preset calculation weight set corresponding to each pre-stored motor parameter is in accordance with the actual situation.

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 illustrating processing of data collected by the environment monitoring unit and the electric energy monitoring unit according to the embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, which is a schematic structural diagram of a data acquisition device for a motor according to an embodiment of the present invention, 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 invention processes the data collected by the environment monitoring unit and the electric energy monitoring unit by the following steps, including S1-S4:

the method comprises the following steps of S1, acquiring corresponding environment monitoring data and electric energy monitoring data based on an environment monitoring unit and an electric energy monitoring unit, wherein the environment monitoring data at least comprise current temperature information and/or current vibration information, and the electric energy monitoring data at least comprise current voltage information and/or current information.

According to the scheme, the current temperature information can be acquired by utilizing a temperature monitoring unit in an environment monitoring unit, and the current vibration information can be acquired by utilizing a vibration monitoring unit; and a voltage monitoring unit of the electric energy monitoring unit is used for acquiring current voltage information, and a current monitoring unit is acquired by using current information.

S2, the processor calls 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 the current temperature information and/or current vibration information, current voltage information and/or current information do not meet requirements of the environment threshold information and the electric energy threshold information.

It will be appreciated that the motors may be of different models, and the corresponding environmental threshold information and power threshold information may be different, for example, for a motor having a smaller size, the power may be smaller, and the corresponding voltage information and current information may also have smaller thresholds.

Therefore, the scheme can acquire the motor label of the monitored motor, and then determine corresponding environment threshold information and electric energy threshold information by using 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, if the motor is abnormal, the corresponding first reminding information is output, and a worker is reminded in time, so that the damage rate of the motor is greatly reduced, and the service life of the motor is prolonged.

In some embodiments, S2 (the processor retrieves a motor tag of the monitored motor, determines corresponding environmental threshold information and electrical energy threshold information according to the motor tag, and outputs corresponding first reminding information 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) includes S21-S23:

s21, the processor calls a motor label of the monitored motor, the motor label comprises a motor model, and the preset environment threshold information and the preset electric energy threshold information are determined according to the motor model.

It can be understood that different motor models correspond to different motor labels, 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 larger than the environment threshold value information, outputting first reminding information, wherein the environment threshold value information comprises preset temperature information and/or preset vibration information, and the first reminding information is temperature abnormity reminding information and/or vibration abnormity 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, it is indicated that the temperature is abnormal and/or the vibration is abnormal, and at this time, the temperature abnormality reminding information and/or the vibration abnormality reminding information needs to be output to inform a worker.

In practical application, the abnormal temperature reminding information may be, for example, that the current working temperature of the motor is high, and the abnormal vibration reminding information may be that the current shaking degree of the motor is high, and may also be that a screw is loosened, a motor fixing structure is loosened, and the like, and may be specifically set according to actual conditions.

And S23, if the current voltage information and/or the current information are/is judged to be larger 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 abnormity reminding information and/or current abnormity reminding information.

It can be understood that when the current voltage information and/or the current information is greater than the electric energy threshold information, it is indicated that the voltage is abnormal and/or the current is abnormal, and at this time, the voltage abnormality reminding information and/or the current abnormality reminding information needs to be output to inform a worker.

In practical application, the voltage abnormality reminding information may be information that a short circuit occurs in a motor, a working voltage is too large, and the like, and the voltage abnormality reminding information may be information that a current working current is unstable, and the like, and may be specifically set according to actual conditions.

On the basis of the above embodiment, the present invention also considers that there may be some motor models that are not added into the database, which results in the subsequent inability to perform data processing on the motor, and therefore, the embodiment of the present invention further includes A1-A4:

a1, if the processor judges that the environment threshold value information and the electric energy threshold value 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 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 will update the corresponding motor data to the database.

And A2, the server determines pre-stored motor parameters of corresponding types in the database according to the current motor parameters, wherein each pre-stored motor parameter has 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 a non-existent motor model, the present scheme may determine pre-stored motor parameters of a corresponding type in the database by using current motor parameters already existing in the server, where each pre-stored motor parameter has corresponding pre-stored environment threshold information and pre-stored electric energy threshold information.

And 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, generally, the larger the volume of the motor with the same power is, the smaller the vibration degree corresponding to the motor in the working process is, because the larger the volume is, the larger the fixed area is when the motor is fixed, and each position shares the centrifugal force when the motor rotates, and the larger the area is, the smaller the centrifugal force born by the unit area is, so that the vibration and the vibration amplitude have an inverse relation with the volume. And because bulky, the fan area of radiator fan, the area of contact of motor and outside can all be bigger relatively, and the heat dissipation of motor is faster relatively this moment, and the temperature in the corresponding motor working process can be more and less relatively.

Therefore, according to the scheme, the power information and the volume information in each pre-stored motor parameter are used for obtaining the first power volume ratio of the corresponding pre-stored motor parameter according to the power information and the volume information, and then pre-stored environment threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter are generated 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 a processor.

After pre-stored environment threshold information and pre-stored electric energy threshold information determined by 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 a database corresponding to the processor is updated, so that the processor can process the motor of a new model.

In some embodiments, A3 (obtaining power information and 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 environmental threshold information and pre-stored electrical energy threshold information corresponding to the current motor parameter according to the power-volume ratio) includes a31-a34:

and 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 and 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 corresponding different units, and in the present scheme, the power information and the volume information are firstly 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-to-volume ratio corresponding to each pre-stored motor parameter.

And A32, sorting the pre-stored 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 sorted in a descending order to obtain a first parameter sorting result. That is, in the first parameter ranking result, the first power volume ratio ranked at the front is larger, and the first power volume ratio ranked at the back is smaller.

And 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.

Similarly to step a31, the power information and the volume information of the current motor parameter have corresponding different units, and in the present solution, the power information and the volume information of the current motor parameter are normalized to obtain a corresponding power coefficient and a 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 a corresponding second power-to-volume ratio of the current motor parameter.

And A34, determining a first power volume ratio which is 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 current motor parameter.

It can be understood that, according to the scheme, the first power volume ratio closest to the second power volume ratio in the first parameter sorting 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 the pre-stored environment threshold value information and the pre-stored electric energy threshold value information corresponding to the current motor parameter.

In some embodiments, a34 (determining a first power volume ratio closest to the second power volume ratio in the first parameter ranking 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 environmental threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter) includes:

is a first

A first power-to-volume ratio of a pre-stored motor parameter,

is a first

Power information of a pre-stored motor parameter,

in order to power-normalize the weight values,

is as follows

Volume information of a pre-stored motor parameter,

is a volume-normalized weight value that is,

in order to provide the second power-to-volume ratio,

is the power information of the current motor parameter,

volume information of the current motor parameter;

in the above-mentioned formula,

represents the first

Personal prestorageThe power factor of the motor parameter is,

represents the first

Volume coefficients of individual pre-stored motor parameters;

a power coefficient representing a current motor parameter,

a volume factor representing a current motor parameter; wherein the power normalization weight value

And volume normalized weight value

May be preset. It is understood that when it comes to

Power information of individual pre-stored motor parameters

Or power information of current motor parameters

When larger, the corresponding power normalization weighted value

The calculation error brought by the power dimension is weakened by being smaller; in the same way, when

Volume information of individual pre-stored motor parameters

Or volume information of current motor parameters

At larger, corresponding volume normalized weight values

The method is small, and calculation errors caused by volume dimension are reduced.

And calculating the absolute value of the difference between each first power volume ratio and each second power volume ratio to obtain a ratio difference, and taking the first power volume ratio corresponding to the minimum ratio difference as a third power volume ratio. It will be appreciated that the present solution will first find the first power-to-volume ratio that is closest to the second power-to-volume ratio, which will be referred to as the third power-to-volume ratio.

in order to be the third power-to-volume ratio,

a constant value is preset for the environment,

is a value of the environmental weight,

is the pre-stored electric energy threshold value information corresponding to the current motor parameter,

a constant value is preset for the power,

is the electric energy weight value.

In the above-mentioned formula,

aiming at the pre-stored environmental threshold information corresponding to the current motor parameter,

representing the difference between the third power volume ratio and the second power volume ratio, wherein the larger the difference is, the pre-stored environment threshold information corresponding to the third power volume ratio needs to be pre-stored

The larger the adjustment amplitude is, it can be understood that when the adjustment amplitude is larger

Is greater than

Then, the pre-stored environmental threshold value information corresponding to the third power volume ratio is compared

Enlargement treatment is carried out when

Is less than

Then, the pre-stored environmental threshold information corresponding to the third power volume ratio is obtained

Carrying out size reduction treatment;

aiming at the pre-stored electric energy threshold value information corresponding to the current motor parameter,

representing the difference between the third power volume ratio and the second power volume ratio, wherein the larger the difference is, the pre-stored electric energy threshold information corresponding to the third power volume ratio needs to be processed

Is greater than

In time, the pre-stored electric energy threshold value information corresponding to the third power volume ratio

Enlargement treatment is carried out when

Is less than

Regulating small partC, processing; wherein the environmental weight value

And electric energy weight value

May be preset. It can be understood that when the third power volume ratio corresponds to the pre-stored environmental threshold information

When larger, corresponding environmental weight value

The adjustment amplitude is smaller, so that the adjustment amplitude is more in line with the actual requirement; when the third power volume ratio corresponds to the pre-stored electric energy threshold information

When the power is larger, the corresponding power weight value

The adjustment amplitude is smaller, so that the adjustment amplitude is more in line with the actual requirement.

And S3, the processor calls a preset first calculation model, the environment monitoring data are input into the first calculation model to obtain standard electric energy data, and if the standard electric energy data do not correspond to the electric energy monitoring data, an electric energy abnormity reminding signal is generated.

It can be understood that, because the operating environments of the motors are different, and the corresponding voltage data and current data are different, the scheme can simultaneously obtain the monitoring data, that is, simultaneously obtain the environmental monitoring data (current temperature information and/or current vibration information) and the standard electric energy data corresponding to the environmental monitoring data, and if the standard electric energy data at the same moment do not correspond to the electric energy monitoring data, which indicates that the operating data of the current motor is abnormal, an electric energy abnormality prompting 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 electric energy data, and generates an electric energy abnormality notification signal if the standard electric energy data does not correspond to the electric energy monitoring data) includes S31 to S34:

and S31, determining a corresponding first calculation model according to the motor label by the processor, and determining a first calculation weight group 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 setting corresponding weights, the initial first calculation models corresponding to different motor labels are the same, but values of related weight sets are different, the scheme determines a first calculation weight set of the first calculation model corresponding to the motor label, and then replaces the weights of the first calculation model by using the first calculation weight set to obtain a third calculation model corresponding to the motor label.

And 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 used for performing correlation calculation, and the acquired current temperature information and/or current vibration information are/is input into the third calculation model to obtain standard electric energy data for subsequent comparison, wherein the standard electric energy data are/is standard voltage information and/or standard electric energy information.

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

According to the scheme, the current voltage information and the current information of the current motor can be collected, and then the difference is made between the current voltage information and the current information, so that a corresponding first voltage difference value and a corresponding first current difference value are obtained.

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

It can be understood that if the first voltage difference value is greater than the voltage difference threshold value and/or the first current difference value is greater than the current difference threshold value, it indicates that the electric energy data of the motor is abnormal, and at this time, an electric energy abnormality reminding signal is generated and sent to a worker for reminding.

In practical applications, the first calculation weight set of the first calculation model cannot be determined according to the motor label, and therefore, on the basis of the above embodiment, the first calculation weight set further includes B1 to B4:

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 the 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 can be extracted and sent to the server.

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

The server determines the pre-stored motor parameters of the corresponding type 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:

and B21, presetting sample acquisition time and a sample acquisition electric energy value, and controlling a motor corresponding to a prestored motor parameter according to the sample acquisition time and the sample acquisition electric energy value so that the motor works according to the sample acquisition electric energy value within the time period of the sample acquisition time, wherein the sample acquisition electric energy value comprises voltage information and/or current information.

According to the scheme, the motor corresponding to the prestored motor parameters is controlled by utilizing the sample collection time and the sample collection electric energy value, and then the voltage information and/or the current information is collected in real time.

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

The scheme can convert the sample collection time and the sample collection electric energy value, so that the temperature information and/or the vibration information of the motor in different sample collection times and different sample collection electric energy values are collected and taken as the sample collection environment value.

And B23, counting sample collection environment values corresponding to different sample collection electric energy values at different sample collection time to obtain a training sample set, training the first preset model based on the training sample set to obtain training weights corresponding to prestored motor parameters, and taking the training weights as a preset calculation weight set.

It can be understood that, according to the scheme, the sample collection environment values corresponding to different sample collection electric energy values at different sample collection times are counted to obtain a training sample set, then, the first preset model is trained by using the training sample set to obtain the training weights corresponding to the prestored motor parameters, and the training weights are used as the preset calculation weight set.

In some embodiments, B23 (counting sample collection environment values corresponding to different sample collection electric energy values at different sample collection times 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 using the training weights as a preset calculation weight set) includes:

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

wherein the content of the first and second substances,

for temperature information in the temperature training sub-formula,

for the vibration information in the vibration training sub-formula,

for the voltage information in the first predetermined model,

the weight value is trained for the voltage of the temperature training sub-formula,

for the current information in the first predetermined model,

the weight value is trained for the current of the temperature training sub-formula,

In the above formula, during training, the temperature in the training sub-formula can be inputTemperature information

Voltage information in the first predetermined model

And current information in the first predetermined model

To obtain the voltage training weight value of the temperature training sub-formula

And current training weight value of temperature training sub-formula

A value or correspondence of (a); similarly, during training, the vibration information in the vibration training sub-formula can be input

Voltage information in the first predetermined model

And current information in the first predetermined model

To obtain the voltage training weight value of the vibration training subprogram

And current training weight values

A value or correspondence of; wherein the voltage training weight value of the temperature training sub-formula

Temperature training sub-formula current trainingExercise weight value

And voltage training weight value of vibration training sub formula

And a current training weight value of the vibration training sub-formula

It may be a value or a function, such as a unary linear function or a binary linear function. It will be appreciated that when the voltage information

When larger, correspond to

And

the voltage dimension calculation error in the comprehensive calculation process is reduced; similarly, current information

When larger, correspond to

And

the method is small, 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 reference to the first preset model (temperature training sub-formula and vibration training sub-formula) corresponding to the first calculation model. Aiming at the second calculation model, the second preset model (a voltage training sub-formula and a current training sub-formula) corresponding to the first preset model is utilized for processing, and the converged voltage training is extractedSub-equations and training weights within the current training sub-equation, wherein the second predetermined model is of the same form as the first predetermined model except that the parameters therein represent different meanings, e.g. as in the above equation

Represented is 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 thereof are similar to those of the above embodiment and are not described herein again.

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.

According to the scheme, the second calculation weight set corresponding to the current motor parameter is calculated according to the first power volume ratio of each pre-stored motor parameter.

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

and B31, determining a first power volume ratio which is closest to the second power volume ratio in the first parameter sorting result as a third power volume ratio, and extracting a first calculation weight group 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 sorting result is found as a 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 current motor parameter.

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

wherein the content of the first and second substances,

for the second computing weight set

The weight value of each of the plurality of weight values,

for the first computing weight set

The weight value of each of the plurality of weight values,

is as follows

And the weight values correspond to constant values.

In the above-mentioned formula,

for the first in the second calculation weight set

The weight value of each of the plurality of weight values,

representing the difference between the third power volume ratio and the second power volume ratio, the larger the difference is, the second calculation weight group

Weight value

Is greater than

Then, the second computing weight set is

Weight value

Adjust the size of the solution to

Is less than

Then, the second computing weight set is

Weight value

Reduction treatment of

Constant value corresponding to each weight value

May be preset by the operator.

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

After the second calculation weight group is obtained, the server sends the second calculation weight group to the processor, and then the first calculation model is updated by the second calculation weight group to obtain a third calculation model.

After the third calculation model is obtained, the previous temperature information and/or the current vibration information may be used as input of the third calculation model to obtain the 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 embodiment is only described with respect to the first calculation model, and the principle and effect of obtaining the second calculation weight set and the corresponding third calculation model for the second calculation model are similar, and are not described herein again.

And S4, the processor calls a preset second calculation model, the electric energy monitoring data are input into the second calculation model to obtain standard environment data, and if the standard environment data do not correspond to the environment monitoring data, a structural abnormality reminding signal is generated.

It can be understood that, for the same motor, under different working conditions, the corresponding temperature and jitter are different, in the scheme, the electric energy monitoring data are input into the second calculation model to obtain the standard environment data at the same moment, and if the standard environment data do not correspond to the environment monitoring data at the same moment, which indicates that the structure of the motor is abnormal, a structural abnormality prompting signal is generated and sent to a worker for prompting. It should be noted that the specific implementation principle and effect of step S4 are similar to step S3, and are not described herein again.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. The utility model provides a data acquisition equipment for motor which characterized in that, data acquisition equipment includes environmental monitoring unit, electric energy monitoring unit and treater, handles the data of environmental monitoring unit and electric energy monitoring unit collection through following step, includes:

the processor calls a preset first calculation model, the environment monitoring data are input into the first calculation model to obtain standard electric energy data, and if the standard electric energy data do not correspond to the electric energy monitoring data, an electric energy abnormity reminding signal is generated;

2. The data acquisition device for an electric motor according to claim 1,

the processor calls a motor label of a monitored motor, determines corresponding environment threshold information and electric energy threshold information according to the motor label, and if the current temperature information and/or current vibration information, current voltage information and/or current information are judged not to meet the requirements of the environment threshold information and the electric energy threshold information, outputs corresponding first reminding information, and comprises the following steps:

3. The data acquisition device for an electric motor according to claim 2, further comprising:

acquiring power information and volume information in each pre-stored motor parameter, acquiring a first power volume ratio of the power information and the volume information corresponding to the pre-stored motor parameter, 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;

4. The data acquisition device for an electric motor according to claim 3,

the acquiring power information and volume information in each pre-stored motor parameter, obtaining a power volume ratio of the power information and the volume information corresponding to the pre-stored motor parameter, and generating pre-stored environmental threshold information and pre-stored electric energy threshold information corresponding to the current motor parameter according to the power volume ratio includes:

5. The data acquisition device for an electric motor according to claim 4,

the determining a first power volume ratio which is closest to the second power volume ratio in the first parameter sorting 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 current motor parameter includes:

wherein the content of the first and second substances,

is as follows

A first power-to-volume ratio of a pre-stored motor parameter,

is as follows

Power information of a pre-stored motor parameter,

the weight values are normalized for the power of the power,

is as follows

Volume information of a pre-stored motor parameter,

in order to be a volume-normalized weight value,

in order to provide the second power-to-volume ratio,

is the power information of the current motor parameter,

volume information of the current motor parameter;

wherein the content of the first and second substances,

is pre-stored environmental threshold information corresponding to the third power volume ratio,

in order to be the third power-to-volume ratio,

a constant value is preset for the environment,

is a value of the environmental weight,

a constant value is preset for the electrical energy,

is the weight value of the electric energy.

6. The data acquisition device for an electric motor according to claim 5,

the processor calls 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 abnormity reminding signal if the standard electric energy data does not correspond to the electric energy monitoring data, and the method comprises the following steps:

7. The data acquisition device for an electric machine of claim 6, further comprising:

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

8. The data acquisition device for the motor according to claim 7, wherein the obtaining of the preset calculation weight set corresponding to each pre-stored motor parameter includes:

9. The data acquisition device for an electric motor according to claim 8,

under different sample collection time of statistics, the sample collection environment values corresponding to different sample collection electric energy values obtain a training sample set, a first preset model is trained based on the training sample set to obtain training weights corresponding to prestored motor parameters, and the training weights are used as a preset calculation weight set, including:

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 converged vibration training sub formula are extracted;

wherein the content of the first and second substances,

for temperature information in the temperature training sub-formula,

for the vibration information in the vibration training sub-formula,

is a first presetThe information of the voltage in the model is,

for the current information in the first predetermined model,

the current training weight value for the temperature training sub-formula,

10. The data acquisition device for an electric motor according to claim 9,

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

determining a first power volume ratio which is 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 group corresponding to the third power volume ratio;

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

wherein the content of the first and second substances,

for the second computing weight set

The weight value of each of the plurality of weight values,

for the first computing weight set

The weight value of each of the plurality of weight values,

is as follows

The weight values correspond to constant values.