CN116865623B - New energy motor operation control system based on data analysis - Google Patents
New energy motor operation control system based on data analysis Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P23/00—Arrangements or methods for the control of AC motors characterised by a control method other than vector control
- H02P23/0077—Characterised by the use of a particular software algorithm
Abstract
The invention relates to the technical field of new energy motors, which is used for solving the problem that the stable operation of the new energy motor cannot be ensured because the accurate control on the operation of the new energy motor cannot be realized in the prior art, in particular to a new energy motor operation control system based on data analysis. According to the invention, the maintenance record log of the new energy motor is monitored, so that the monitoring period of the new energy motor is set, and based on the monitoring period, the output state, the performance running state and the energy supply state of the new energy motor are respectively defined in a data analysis and data comparison mode, and the temperature regulation and control treatment, the speed regulation and the frequency modulation treatment are adopted, so that the accurate control of the operation of the new energy motor is realized, and the stability of the operation of the new energy motor is ensured.
Description
Technical Field
The invention relates to the technical field of new energy motors, in particular to a new energy motor operation control system based on data analysis.
Background
The new energy motor is a motor driven by adopting a new energy technology. A new energy motor generally refers to a motor using renewable energy (such as solar energy, wind energy, batteries, etc.) as an energy input.
Although the new energy motor has been widely used in various industries, there are still some problems in controlling the operation of the new energy motor, mainly: in the existing mode of controlling the operation of the new energy motor, the output state and the energy supply state of the new energy motor are difficult to accurately analyze, so that when the operation of the new energy motor is controlled, the accurate control cannot be achieved, and the stable operation of the new energy motor cannot be ensured.
In order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to provide a new energy motor operation control system based on data analysis so as to solve the problems of the background technology.
The aim of the invention can be achieved by the following technical scheme: new energy motor operation control system based on data analysis includes: the system comprises a data acquisition unit, a cloud database, a monitoring period setting unit, an output state analysis unit, a performance state evaluation unit, an energy supply evaluation unit, an operation optimization control unit and an execution terminal;
the data acquisition unit is used for acquiring maintenance record logs, output parameter information, performance parameter information and supply parameter information of the target new energy motor, and transmitting all types of information to the cloud database for storage;
the cloud database is also used for storing a monitoring period judgment table;
the monitoring period setting unit is used for monitoring maintenance record logs of the target new energy motor, so as to set and analyze the monitoring period of the target new energy motor, and accordingly set the monitoring period of the target new energy motor;
the output state analysis unit is used for acquiring output parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, analyzing the output state of the target new energy motor, and accordingly obtaining the running output state of the target new energy motor, wherein the running output state comprises an unstable output state and a stable output state;
the performance state evaluation unit is used for acquiring performance parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, analyzing the performance running state of the target new energy motor, and obtaining a performance running bottleneck signal and a performance running normal signal according to the performance running bottleneck signal and the performance running normal signal;
the energy supply evaluation unit is used for acquiring supply parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, analyzing the energy supply state of the target new energy motor, and accordingly obtaining an energy supply abnormal signal and an energy supply normal signal;
the operation optimizing control unit is used for calling the operation temperature of the target new energy motor in a corresponding monitoring period according to the received unstable output state, so that the temperature regulation and control treatment is carried out on the target new energy motor, and the temperature reduction operation is carried out on the target new energy motor through the execution terminal;
and the operation optimization control unit is used for carrying out data integration on the two types of signals according to the received performance operation type judging signal and the energy supply type judging signal, so as to carry out speed regulation and frequency modulation on the target new energy motor, and carrying out speed regulation and frequency modulation operation on the target new energy motor through the execution terminal.
Preferably, the setting analysis is performed on the monitoring period of the target new energy motor, and the specific analysis process is as follows:
obtaining maintenance record logs in each historical frequency band of a target new energy motor, extracting fault types of the new energy motor from the maintenance record logs of the corresponding historical frequency bands, calibrating the fault types as i, extracting the occurrence frequency and duration of each fault type in the corresponding historical frequency band, and calibrating the fault types as P respectively ij And T ij And analyzing the two items of data according to a set data model:the historical comprehensive fault coefficients hfc of the target new energy motor are obtained, wherein j is the number of each historical frequency band, j is a positive integer, ρ1 and ρ2 are conversion factor coefficients of frequency and duration respectively, and ρ1 and ρ2 are natural numbers larger than 0;
then, the fault repair time length, the fault resolution ratio and the maintenance cost of each fault type of the new energy motor are extracted from the maintenance record logs of the corresponding historical frequency band, and are respectively calibrated as rt ij 、rsl ij And cot ij And analyzing the three items of data according to a set data model:the historical comprehensive maintenance coefficient rec of the target new energy motor is obtained, wherein gamma 1, gamma 2 and gamma 3 are conversion factor coefficients of fault repair duration, fault resolution and maintenance cost respectively, and gamma 1, gamma 2 and gamma 3 are natural numbers larger than 0;
extracting data values of a historical comprehensive fault coefficient and a historical comprehensive maintenance coefficient of the target new energy motor, and performing calculation and analysis on the two data according to a set formula: pd=rec/hfc, thereby obtaining a predicted evaluation value pd;
and comparing and matching the predicted evaluation value with a monitoring period judgment table stored in a cloud database, thereby obtaining a monitoring period of the target new energy motor, wherein each obtained predicted evaluation value corresponds to one monitoring period, and the monitoring period comprises a long-interval monitoring period, a middle-interval monitoring period and a short-interval monitoring period.
Preferably, the analyzing the output state of the target new energy motor specifically includes the following steps:
according to a monitoring period set by the target new energy motor, acquiring output current, output voltage and rotating speed in output parameter information of the target new energy motor in real time in the corresponding monitoring period;
carrying out graphic analysis and conversion on the output current, the output voltage and the rotating speed which are monitored in the monitoring period, thereby generating an output current waveform, an output voltage waveform and a rotating speed waveform of the target new energy motor;
setting a current reference waveform, a voltage reference waveform and a rotating speed reference waveform, and comparing and matching an output current waveform, an output voltage waveform and a rotating speed waveform of the target new energy motor with a preset current reference waveform, a preset voltage reference waveform and a preset rotating speed reference waveform, wherein the specific steps are as follows:
dividing and sampling the output current waveform and the corresponding current reference waveform, the output voltage waveform and the corresponding voltage reference waveform, and the rotating speed waveform and the corresponding rotating speed reference waveform respectively at the same time interval, and dividing the output current waveform and the corresponding current reference waveform, the output voltage waveform and the corresponding voltage reference waveform to obtain n sampling data points;
respectively taking the ordinate values of the output current waveform and the current reference waveform, the output voltage waveform and the voltage reference waveform, and the rotating speed waveform and the rotating speed reference waveform under n sampling data points, carrying out difference on the two ordinate values under each sampling data point of each type of data to obtain the ordinate difference value under n sampling data points of each type of data, carrying out standard deviation calculation on the ordinate difference value under n data points of each type of data to obtain the current fluctuation value, the voltage fluctuation value and the rotating speed fluctuation value of the target new energy motor, and respectively marking the current fluctuation value, the voltage fluctuation value and the rotating speed fluctuation value as sigma 1, sigma 2 and sigma 3;
and carrying out summation analysis on the three items of data, and according to the formula: sts=σ1+σ2+σ3, thereby obtaining a comprehensive output state value sts of the target new energy motor;
setting a state comparison threshold of the comprehensive output state value, and comparing and analyzing the comprehensive output state value with a preset state comparison threshold, wherein the method specifically comprises the following steps of:
if the comprehensive output state value is greater than or equal to a preset state comparison threshold value, calibrating the running output state of the target new energy motor to be an unstable output state;
otherwise, if the comprehensive output state value is smaller than the preset state comparison threshold value, the running output state of the target new energy motor is calibrated to be a stable output state.
Preferably, the analyzing the performance running state of the target new energy motor specifically includes the following steps:
according to a monitoring period set by a target new energy motor, acquiring the power density, the response speed and the maximum torque in the performance parameter information of the target new energy motor in real time in the corresponding monitoring period, calibrating the power density, the response speed and the maximum torque as md, sd and zl respectively, calculating and analyzing each item of data, and according to a set data model: yxl =δ1×md+δ2×sd+δ3×zl, thereby obtaining an operation performance coefficient yxl of the target new energy motor, where δ1, δ2, and δ3 are normalization factors of power density, response speed, and maximum torque, respectively, and δ1, δ2, and δ3 are natural numbers greater than 0;
setting an operation comparison threshold of the operation performance coefficient of the target new energy motor, comparing and analyzing the operation comparison threshold with a preset operation comparison threshold, generating a performance operation bottleneck signal if the operation performance coefficient is smaller than or equal to the preset operation comparison threshold, otherwise, generating a performance operation normal signal if the operation performance coefficient is larger than the preset operation comparison threshold.
Preferably, the analyzing the energy supply state of the target new energy motor specifically includes the following steps:
according to the monitoring period set by the target new energy motor, acquiring the charging speed, the recovery rate and the maximum energy consumption value in the supply parameter information of the target new energy motor in real time in the corresponding monitoring period, respectively calibrating the charging speed, the recovery rate and the maximum energy consumption value as cds, hsl and nhl, comprehensively analyzing each item of data, and according to the set data model:obtaining an energy supply coefficient esc of the target new energy, wherein λ1, λ2 and λ3 are weight factor coefficients of a charging speed, a recovery rate and a maximum energy consumption value respectively, and λ1, λ2 and λ3 are natural numbers larger than 0;
setting a supply comparison threshold of the energy supply coefficient of the target new energy motor, comparing and analyzing the supply comparison threshold with a preset supply comparison threshold, generating an energy supply abnormal signal if the energy supply coefficient is smaller than or equal to the preset supply comparison threshold, otherwise, generating an energy supply normal signal if the energy supply coefficient is larger than the preset supply comparison threshold.
Preferably, the specific process of the temperature regulation treatment is as follows:
according to the generated unstable output state, the operation temperature of the target new energy motor in the corresponding monitoring period is called, and the operation temperature is subjected to comparison and matching analysis with a temperature rise state judgment table stored in a cloud database, so that the temperature rise grade of the target new energy motor is obtained, each obtained operation temperature corresponds to one temperature rise grade, and the temperature rise grade comprises a primary temperature rise grade, a secondary temperature rise grade and a tertiary temperature rise grade;
and performing temperature downshift control according to the generated temperature rise grade of the target new energy motor, wherein the temperature downshift control comprises the following specific steps:
according to the generated first-level temperature rise grade, triggering a third-gear cooling instruction, sending the third-gear cooling instruction to an execution terminal, and cooling the target new energy motor according to the received third-gear cooling instruction by the execution terminal;
according to the generated secondary temperature rise level, triggering a second-gear cooling instruction, sending the second-gear cooling instruction to an execution terminal, and cooling the target new energy motor according to the received second-gear cooling instruction by the execution terminal;
and triggering a first-grade cooling instruction according to the generated third-grade temperature rise grade, sending the first-grade cooling instruction to an execution terminal, and cooling the target new energy motor according to the received first-grade cooling instruction by the execution terminal.
Preferably, the speed and frequency regulation treatment is performed on the target new energy motor, and the specific analysis steps are as follows:
establishing a set W according to the performance operation type judging signal, marking a performance operation bottleneck signal as an element a1, marking a performance operation normal signal as an element a2, wherein the element a1 epsilon the set W and the element a2 epsilon the set W;
establishing a set V according to the energy supply type judging signal, calibrating an energy supply abnormal signal as an element b1, calibrating an energy supply normal signal as an element b2, wherein the element b1 epsilon the set V, and the element b2 epsilon the set V;
the method comprises the steps of performing union processing on a set W and V, triggering a first-stage regulation instruction if W U V= { a1, b1}, triggering a second-stage regulation instruction if W U V= { a1, b2}, or { a2, b1}, and triggering a third-stage regulation instruction if W U V= { a2, b2 };
the generated primary regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received primary regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k1 gears, controlling the output power of the target new energy motor, and regulating the output power by f1 gears;
the generated secondary regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received secondary regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k2 gears, controlling the output power of the target new energy motor, and regulating the output power by f2 gears;
the generated three-level regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received three-level regulation and control instruction, specifically: and controlling the rotating speed of the target new energy motor, regulating the rotating speed by k3 gears, controlling the output power of the target new energy motor, and regulating the output power by f3 gears.
The invention has the beneficial effects that:
according to the invention, the maintenance record log of the new energy motor is monitored, so that the monitoring period of the new energy motor is set, and based on the monitoring period, the output state, the performance running state and the energy supply state of the new energy motor are respectively defined in a data analysis and data comparison mode, and the temperature regulation and control treatment, the speed regulation and the frequency modulation treatment are adopted, so that the accurate control of the operation of the new energy motor is realized, and the stability of the operation of the new energy motor is ensured.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but 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, the present invention is a new energy motor operation control system based on data analysis, including: the system comprises a data acquisition unit, a cloud database, a monitoring period setting unit, an output state analysis unit, a performance state evaluation unit, an energy supply evaluation unit, an operation optimization control unit and an execution terminal.
The data acquisition unit is used for acquiring maintenance record logs, output parameter information, performance parameter information and supply parameter information of the target new energy motor, and transmitting all types of information to the cloud database for storage.
The cloud database is also used for storing a monitoring period judging table.
The monitoring period setting unit is used for monitoring maintenance record logs of the target new energy motor, so that the monitoring period of the target new energy motor is set and analyzed, and the specific analysis process is as follows:
obtaining maintenance record logs in each historical frequency band of a target new energy motor, extracting fault types of the new energy motor from the maintenance record logs of the corresponding historical frequency bands, calibrating the fault types as i, extracting the occurrence frequency and duration of each fault type in the corresponding historical frequency band, and calibrating the fault types as P respectively ij And T ij And analyzing the two items of data according to a set data model:the historical comprehensive fault coefficients hfc of the target new energy motor are obtained, wherein j is the number of each historical frequency band, j is a positive integer, ρ1 and ρ2 are conversion factor coefficients of frequency and duration, ρ1 and ρ2 are natural numbers larger than 0, and the conversion factor coefficients are used for converting physical quantities of all data items into data coefficients of the same physical quantity;
then, the fault repair time length, the fault resolution ratio and the maintenance cost of each fault type of the new energy motor are extracted from the maintenance record logs of the corresponding historical frequency band, and are respectively calibrated as rt ij 、rsl ij And cot ij And analyzing the three items of data according to a set data model:the historical comprehensive maintenance coefficient rec of the target new energy motor is obtained, wherein gamma 1, gamma 2 and gamma 3 are conversion factor coefficients of fault repair duration, fault resolution and maintenance cost respectively, and gamma 1, gamma 2 and gamma 3 are natural numbers larger than 0;
it should be noted that, the fault repair time period refers to the time period from the time when the fault repair time of the target new energy motor is monitored to the time when the new energy motor fault is resolved, and the fault resolution rate refers to the rate of successfully resolving the fault of the target new energy motor;
extracting data values of a historical comprehensive fault coefficient and a historical comprehensive maintenance coefficient of the target new energy motor, and performing calculation and analysis on the two data according to a set formula: pd=rec/hfc, thereby obtaining a predicted evaluation value pd;
comparing and matching the predicted evaluation value with a monitoring period judgment table stored in a cloud database, thereby obtaining a monitoring period of the target new energy motor, wherein each obtained predicted evaluation value corresponds to one monitoring period, and the monitoring period comprises a long-interval monitoring period, a middle-interval monitoring period and a short-interval monitoring period;
it should be noted that the specific content of the long interval monitoring period is as follows: the monitoring operation is executed (t/m 1) times within the unit time t at intervals of m1, and the specific content of the interval monitoring period is as follows: the monitoring operation is executed (t/m 2) times within the unit time t at intervals of m2, and the specific content of the short interval monitoring period is as follows: the monitoring operation is performed (t/m 3) times at intervals of m3 duration within a unit time t, where m1 > m2 > m3, and the setting of specific values of t, m1, m2, m3 is specifically set by a person skilled in the art in specific cases.
The output state analysis unit acquires output parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, and analyzes the output state of the target new energy motor according to the output parameter information, wherein the specific analysis process is as follows:
according to a monitoring period set by the target new energy motor, acquiring output current, output voltage and rotating speed in output parameter information of the target new energy motor in real time in the corresponding monitoring period;
carrying out graphic analysis and conversion on the output current, the output voltage and the rotating speed which are monitored in the monitoring period, thereby generating an output current waveform, an output voltage waveform and a rotating speed waveform of the target new energy motor;
setting a current reference waveform, a voltage reference waveform and a rotating speed reference waveform, and comparing and matching an output current waveform, an output voltage waveform and a rotating speed waveform of the target new energy motor with a preset current reference waveform, a preset voltage reference waveform and a preset rotating speed reference waveform, wherein the specific steps are as follows:
dividing and sampling the output current waveform and the corresponding current reference waveform at the same time interval to obtain n sampling data points, respectively taking the ordinate values of the output current waveform and the current reference waveform under the n sampling data points, differencing the two ordinate values under each sampling data point to obtain the ordinate difference value under the n sampling data points, and carrying out standard deviation calculation on the ordinate difference value under the n data points to obtain the current fluctuation value of the target new energy motor;
dividing and sampling the output voltage waveform and the voltage reference waveform corresponding to the output voltage waveform at the same time interval to obtain n sampling data points, respectively taking the ordinate values of the output voltage waveform and the voltage reference waveform under the n sampling data points, carrying out difference on the two ordinate values under each sampling data point to obtain the ordinate difference value under the n sampling data points, and carrying out standard deviation calculation on the ordinate difference value under the n data points to obtain the voltage fluctuation value of the target new energy motor;
dividing and sampling the rotating speed waveform and the corresponding rotating speed reference waveform at the same time interval to obtain n sampling data points, respectively taking the output rotating speed waveform and the longitudinal coordinate values of the rotating speed reference waveform under the n sampling data points, carrying out difference on the two longitudinal coordinate values under each sampling data point to obtain the longitudinal coordinate difference values under the n sampling data points, and carrying out standard deviation calculation on the longitudinal coordinate difference values under the n data points to obtain the rotating speed fluctuation value of the target new energy motor;
obtaining a current fluctuation value, a voltage fluctuation value and a rotation speed fluctuation value of the target new energy motor, and respectively marking the current fluctuation value, the voltage fluctuation value and the rotation speed fluctuation value as sigma 1, sigma 2 and sigma 3;
and carrying out summation analysis on the three items of data, and according to the formula: sts=σ1+σ2+σ3, thereby obtaining a comprehensive output state value sts of the target new energy motor;
setting a state comparison threshold of the comprehensive output state value, and comparing and analyzing the comprehensive output state value with a preset state comparison threshold, wherein the method specifically comprises the following steps of:
if the comprehensive output state value is greater than or equal to a preset state comparison threshold value, calibrating the running output state of the target new energy motor to be an unstable output state;
otherwise, if the comprehensive output state value is smaller than the preset state comparison threshold value, the running output state of the target new energy motor is calibrated to be a stable output state.
The performance state evaluation unit acquires the performance parameter information of the target new energy motor in real time in the corresponding monitoring period according to the monitoring period set by the target new energy motor, and analyzes the performance running state of the target new energy motor according to the performance parameter information, wherein the specific analysis process is as follows:
according to a monitoring period set by a target new energy motor, acquiring the power density, the response speed and the maximum torque in the performance parameter information of the target new energy motor in real time in the corresponding monitoring period, calibrating the power density, the response speed and the maximum torque as md, sd and zl respectively, calculating and analyzing each item of data, and according to a set data model: yxl =δ1×md+δ2×sd+δ3×zl, thereby obtaining an operation performance coefficient yxl of the target new energy motor, where δ1, δ2, and δ3 are normalization factors of power density, response speed, and maximum torque, respectively, and δ1, δ2, and δ3 are natural numbers greater than 0, and the normalization factors are used to represent coefficients for converting each item of data in the data model into a dimensionless form;
setting an operation comparison threshold of the operation performance coefficient of the target new energy motor, comparing and analyzing the operation comparison threshold with a preset operation comparison threshold, generating a performance operation bottleneck signal if the operation performance coefficient is smaller than or equal to the preset operation comparison threshold, otherwise, generating a performance operation normal signal if the operation performance coefficient is larger than the preset operation comparison threshold.
The energy supply evaluation unit acquires supply parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, and analyzes the energy supply state of the target new energy motor according to the supply parameter information, wherein the specific analysis process is as follows:
according to the monitoring period set by the target new energy motor, acquiring the charging speed, the recovery rate and the maximum energy consumption value in the supply parameter information of the target new energy motor in real time in the corresponding monitoring period, respectively calibrating the charging speed, the recovery rate and the maximum energy consumption value as cds, hsl and nhl, comprehensively analyzing each item of data, and according to the set data model:obtaining an energy supply coefficient esc of the target new energy, wherein λ1, λ2 and λ3 are weight factor coefficients of a charging speed, a recovery rate and a maximum energy consumption value respectively, and λ1, λ2 and λ3 are natural numbers larger than 0 and are used for balancing the duty ratio weight of each item of data in formula calculation so as to promote the accuracy of a calculation result;
setting a supply comparison threshold of the energy supply coefficient of the target new energy motor, comparing and analyzing the supply comparison threshold with a preset supply comparison threshold, generating an energy supply abnormal signal if the energy supply coefficient is smaller than or equal to the preset supply comparison threshold, otherwise, generating an energy supply normal signal if the energy supply coefficient is larger than the preset supply comparison threshold.
The operation optimizing control unit is used for calling the operation temperature of the target new energy motor in the corresponding monitoring period according to the received unstable output state, so that the temperature regulation and control treatment is carried out on the target new energy motor, and the specific process is as follows:
according to the generated unstable output state, the operation temperature of the target new energy motor in the corresponding monitoring period is called, and the operation temperature is subjected to comparison and matching analysis with a temperature rise state judgment table stored in a cloud database, so that the temperature rise grade of the target new energy motor is obtained, each obtained operation temperature corresponds to one temperature rise grade, and the temperature rise grade comprises a primary temperature rise grade, a secondary temperature rise grade and a tertiary temperature rise grade;
and performing temperature downshift control according to the generated temperature rise grade of the target new energy motor, wherein the temperature downshift control comprises the following specific steps:
according to the generated first-level temperature rise grade, triggering a third-gear cooling instruction, sending the third-gear cooling instruction to an execution terminal, and cooling the target new energy motor according to the received third-gear cooling instruction by the execution terminal;
according to the generated secondary temperature rise level, triggering a second-gear cooling instruction, sending the second-gear cooling instruction to an execution terminal, and cooling the target new energy motor according to the received second-gear cooling instruction by the execution terminal;
and triggering a first-grade cooling instruction according to the generated third-grade temperature rise grade, sending the first-grade cooling instruction to an execution terminal, and cooling the target new energy motor according to the received first-grade cooling instruction by the execution terminal.
The operation optimization control unit is used for carrying out data integration on the two types of signals according to the received performance operation type judging signal and the energy supply type judging signal, so that the target new energy motor is subjected to speed regulation and frequency modulation processing, and the specific analysis steps are as follows:
establishing a set W according to the performance operation type judging signal, marking a performance operation bottleneck signal as an element a1, marking a performance operation normal signal as an element a2, wherein the element a1 epsilon the set W and the element a2 epsilon the set W;
establishing a set V according to the energy supply type judging signal, calibrating an energy supply abnormal signal as an element b1, calibrating an energy supply normal signal as an element b2, wherein the element b1 epsilon the set V, and the element b2 epsilon the set V;
the method comprises the steps of performing union processing on a set W and V, triggering a first-stage regulation instruction if W U V= { a1, b1}, triggering a second-stage regulation instruction if W U V= { a1, b2}, or { a2, b1}, and triggering a third-stage regulation instruction if W U V= { a2, b2 };
the generated primary regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received primary regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k1 gears, controlling the output power of the target new energy motor, and regulating the output power by f1 gears;
the generated secondary regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received secondary regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k2 gears, controlling the output power of the target new energy motor, and regulating the output power by f2 gears;
the generated three-level regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received three-level regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k3 gears, controlling the output power of the target new energy motor, and regulating the output power by f3 gears;
it should be noted that k1 > k2 > k3, f1 > f2 > f3, and the specific values of k1, k2, k3, f1, f2, and f3 are set by those skilled in the art in specific cases.
When the system is used, the maintenance record log of the new energy motor is monitored, so that the monitoring period of the target new energy motor is set and analyzed, the monitoring period of the new energy motor is defined, the output parameter information of the new energy motor in the corresponding monitoring period is obtained in real time based on the monitoring period, the output state of the new energy motor is defined by adopting the modes of waveform conversion, data analysis and data comparison, the operating temperature of the target new energy motor in the corresponding monitoring period is adjusted according to the unstable output state of the connection output, the temperature regulation and control treatment are carried out on the target new energy motor, and the temperature reduction operation is carried out on the target new energy motor through the execution terminal;
the performance parameter information of the new energy motor is monitored, and a data calibration, formula calculation and threshold comparison analysis mode is adopted, so that the performance running state of the new energy motor is defined, and a foundation is laid for realizing accurate control of the running of the new energy motor;
the supply parameter information of the new energy motor is monitored, and the judgment and analysis of the energy supply state of the new energy motor are realized by utilizing a data model calculation and analysis mode;
the output performance operation type judging signal and the energy supply type judging signal are subjected to data integration, so that the target new energy motor is subjected to speed regulation and frequency modulation treatment, and the execution terminal is used for carrying out speed regulation and frequency modulation operation on the target new energy motor;
through the accurate control to the operation of new energy motor, effectively promoted the utilization efficiency of new energy, promoted clean energy's development and utilization.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (7)
1. New energy motor operation control system based on data analysis, characterized by comprising:
the data acquisition unit is used for acquiring maintenance record logs, output parameter information, performance parameter information and supply parameter information of the target new energy motor, and transmitting all types of information to the cloud database for storage;
the cloud database is also used for storing a monitoring period judgment table;
the monitoring period setting unit is used for monitoring maintenance record logs of the target new energy motor, so as to set and analyze the monitoring period of the target new energy motor, and accordingly set the monitoring period of the target new energy motor;
the output state analysis unit is used for acquiring output parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, analyzing the output state of the target new energy motor, and accordingly obtaining the running output state of the target new energy motor, wherein the running output state comprises an unstable output state and a stable output state;
the performance state evaluation unit is used for acquiring performance parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, analyzing the performance running state of the target new energy motor, and obtaining a performance running bottleneck signal and a performance running normal signal according to the performance running bottleneck signal and the performance running normal signal;
the energy supply evaluation unit is used for acquiring supply parameter information of the target new energy motor in real time in a corresponding monitoring period according to the monitoring period set by the target new energy motor, analyzing the energy supply state of the target new energy motor, and accordingly obtaining an energy supply abnormal signal and an energy supply normal signal;
the operation optimizing control unit is used for calling the operation temperature of the target new energy motor in a corresponding monitoring period according to the received unstable output state, so that the temperature regulation and control treatment is carried out on the target new energy motor, and the temperature reduction operation is carried out on the target new energy motor through the execution terminal;
and the operation optimization control unit is used for carrying out data integration on the two types of signals according to the received performance operation type judging signal and the energy supply type judging signal, so as to carry out speed regulation and frequency modulation on the target new energy motor, and carrying out speed regulation and frequency modulation operation on the target new energy motor through the execution terminal.
2. The new energy motor operation control system based on data analysis according to claim 1, wherein the setting analysis is performed on the monitoring period of the target new energy motor, and the specific analysis process is as follows:
obtaining maintenance record logs in each historical frequency band of a target new energy motor, extracting fault types of the new energy motor from the maintenance record logs of the corresponding historical frequency bands, calibrating the fault types as i, extracting the occurrence frequency and the duration of each fault type in the corresponding historical frequency band, and carrying out data analysis on the two data, thereby obtaining the historical comprehensive fault coefficient of the target new energy motor;
then, the fault repair time length, the fault resolution ratio and the maintenance cost of each fault type of the new energy motor are extracted from the maintenance record logs of the corresponding historical frequency band, and data analysis is carried out on the three data, so that the historical comprehensive maintenance coefficient of the target new energy motor is obtained;
extracting data values of a historical comprehensive fault coefficient and a historical comprehensive maintenance coefficient of the target new energy motor, and performing calculation and analysis on the two data to obtain a predicted evaluation value;
and comparing and matching the predicted evaluation value with a monitoring period judgment table stored in a cloud database, thereby obtaining a monitoring period of the target new energy motor, wherein each obtained predicted evaluation value corresponds to one monitoring period, and the monitoring period comprises a long-interval monitoring period, a middle-interval monitoring period and a short-interval monitoring period.
3. The new energy motor operation control system based on data analysis according to claim 1, wherein the analysis of the output state of the target new energy motor is performed by the following specific analysis process:
according to a monitoring period set by the target new energy motor, acquiring output current, output voltage and rotating speed in output parameter information of the target new energy motor in real time in the corresponding monitoring period;
carrying out graphic analysis and conversion on the output current, the output voltage and the rotating speed which are monitored in the monitoring period, thereby generating an output current waveform, an output voltage waveform and a rotating speed waveform of the target new energy motor;
setting a current reference waveform, a voltage reference waveform and a rotating speed reference waveform, and comparing and matching an output current waveform, an output voltage waveform and a rotating speed waveform of the target new energy motor with a preset current reference waveform, a preset voltage reference waveform and a preset rotating speed reference waveform, wherein the specific steps are as follows:
dividing and sampling the output current waveform and the corresponding current reference waveform, the output voltage waveform and the corresponding voltage reference waveform, and the rotating speed waveform and the corresponding rotating speed reference waveform respectively at the same time interval, and dividing the output current waveform and the corresponding current reference waveform, the output voltage waveform and the corresponding voltage reference waveform to obtain n sampling data points;
respectively taking the ordinate values of the output current waveform and the current reference waveform, the output voltage waveform and the voltage reference waveform, and the rotating speed waveform and the rotating speed reference waveform under n sampling data points, carrying out difference on the two ordinate values under each sampling data point of each type of data, thereby obtaining the ordinate difference values under n sampling data points of each type of data, and carrying out standard deviation calculation on the ordinate difference values under n data points of each type of data, thereby obtaining the current fluctuation value, the voltage fluctuation value and the rotating speed fluctuation value of the target new energy motor;
carrying out summation analysis on the three items of data, thereby obtaining the comprehensive output state value of the target new energy motor;
setting a state comparison threshold of the comprehensive output state value, and comparing and analyzing the comprehensive output state value with a preset state comparison threshold, wherein the method specifically comprises the following steps of:
if the comprehensive output state value is greater than or equal to a preset state comparison threshold value, calibrating the running output state of the target new energy motor to be an unstable output state;
otherwise, if the comprehensive output state value is smaller than the preset state comparison threshold value, the running output state of the target new energy motor is calibrated to be a stable output state.
4. The new energy motor operation control system based on data analysis according to claim 1, wherein the analysis of the performance operation state of the target new energy motor is performed by the following specific analysis process:
according to a monitoring period set by the target new energy motor, acquiring the power density, the response speed and the maximum torque in the performance parameter information of the target new energy motor in real time in the corresponding monitoring period, and calculating and analyzing each item of data to obtain the running performance coefficient of the target new energy motor;
setting an operation comparison threshold of the operation performance coefficient of the target new energy motor, comparing and analyzing the operation comparison threshold with a preset operation comparison threshold, generating a performance operation bottleneck signal if the operation performance coefficient is smaller than or equal to the preset operation comparison threshold, otherwise, generating a performance operation normal signal if the operation performance coefficient is larger than the preset operation comparison threshold.
5. The new energy motor operation control system based on data analysis according to claim 1, wherein the analysis of the energy supply state of the target new energy motor is performed by the following specific analysis process:
according to a monitoring period set by the target new energy motor, acquiring the charging speed, the recovery rate and the maximum energy consumption value in the supply parameter information of the target new energy motor in real time in the corresponding monitoring period, and comprehensively analyzing each item of data to obtain an energy supply coefficient of the target new energy;
setting a supply comparison threshold of the energy supply coefficient of the target new energy motor, comparing and analyzing the supply comparison threshold with a preset supply comparison threshold, generating an energy supply abnormal signal if the energy supply coefficient is smaller than or equal to the preset supply comparison threshold, otherwise, generating an energy supply normal signal if the energy supply coefficient is larger than the preset supply comparison threshold.
6. The new energy motor operation control system based on data analysis according to claim 1, wherein the specific process of the temperature regulation treatment is as follows:
according to the generated unstable output state, the operation temperature of the target new energy motor in the corresponding monitoring period is called, and the operation temperature is subjected to comparison and matching analysis with a temperature rise state judgment table stored in a cloud database, so that the temperature rise grade of the target new energy motor is obtained, each obtained operation temperature corresponds to one temperature rise grade, and the temperature rise grade comprises a primary temperature rise grade, a secondary temperature rise grade and a tertiary temperature rise grade;
and performing temperature downshift control according to the generated temperature rise grade of the target new energy motor, wherein the temperature downshift control comprises the following specific steps:
according to the generated first-level temperature rise grade, triggering a third-gear cooling instruction, sending the third-gear cooling instruction to an execution terminal, and cooling the target new energy motor according to the received third-gear cooling instruction by the execution terminal;
according to the generated secondary temperature rise level, triggering a second-gear cooling instruction, sending the second-gear cooling instruction to an execution terminal, and cooling the target new energy motor according to the received second-gear cooling instruction by the execution terminal;
and triggering a first-grade cooling instruction according to the generated third-grade temperature rise grade, sending the first-grade cooling instruction to an execution terminal, and cooling the target new energy motor according to the received first-grade cooling instruction by the execution terminal.
7. The new energy motor operation control system based on data analysis according to claim 1, wherein the speed and frequency regulation processing is performed on the target new energy motor, and the specific analysis steps are as follows:
establishing a set W according to the performance operation type judging signal, marking a performance operation bottleneck signal as an element a1, marking a performance operation normal signal as an element a2, wherein the element a1 epsilon the set W and the element a2 epsilon the set W;
establishing a set V according to the energy supply type judging signal, calibrating an energy supply abnormal signal as an element b1, calibrating an energy supply normal signal as an element b2, wherein the element b1 epsilon the set V, and the element b2 epsilon the set V;
the method comprises the steps of performing union processing on a set W and V, triggering a first-stage regulation instruction if W U V= { a1, b1}, triggering a second-stage regulation instruction if W U V= { a1, b2}, or { a2, b1}, and triggering a third-stage regulation instruction if W U V= { a2, b2 };
the generated primary regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received primary regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k1 gears, controlling the output power of the target new energy motor, and regulating the output power by f1 gears;
the generated secondary regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received secondary regulation and control instruction, specifically: controlling the rotating speed of a target new energy motor, regulating the rotating speed by k2 gears, controlling the output power of the target new energy motor, and regulating the output power by f2 gears;
the generated three-level regulation and control instruction is sent to an execution terminal, and the execution terminal simultaneously carries out speed regulation and frequency modulation operation on the target new energy motor according to the received three-level regulation and control instruction, specifically: and controlling the rotating speed of the target new energy motor, regulating the rotating speed by k3 gears, controlling the output power of the target new energy motor, and regulating the output power by f3 gears.
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