Intelligent monitoring method for energy consumption of high-efficiency motor

Abstract

The invention relates to the technical field of motors, and discloses an intelligent energy consumption monitoring method for a high-efficiency motor, and the method comprises the steps: collecting a plurality of pieces of environment influence data in the operation of the motor to form an environment data set; acquiring a plurality of motor operation data in a motor operation state to form a motor operation data set; calculating an environment change index and a motor operation change index; an environment influence coefficient is calculated based on the environment change index and the motor operation change index through an analysis and judgment module, and whether the current environment will increase the energy consumption of the current motor or not is judged based on the calculation result of the environment influence coefficient; and the control processing module is used for controlling and processing. According to the method, the influence on the environment is pre-judged in advance, the energy consumption abnormity in the operation of the motor can be found in time, the operation efficiency of the motor is improved, and corresponding measures are taken to reduce the energy consumption, so that the method also has an energy-saving effect.

Description

Technical Field

[0001] This invention relates to the field of motor technology, specifically to a method for intelligent monitoring of energy consumption in high-efficiency motors. Background Technology

[0002] An electric motor is an electromagnetic device that converts or transmits electrical energy based on the law of electromagnetic induction. Its primary function in a circuit is to generate driving torque, serving as a power source for electrical appliances and various machines. With the escalating energy crisis and increasing environmental awareness, high efficiency and energy conservation have become crucial directions for motor development. As an electromagnetic device for converting or transmitting electrical energy, the electric motor plays a vital role in modern society. In wind power generation, large wind turbines convert wind energy into electrical energy, and the motor, as a key component, directly affects power generation efficiency and stability. With the increasing global demand for renewable energy, wind power generation capacity is continuously expanding, leading to a surge in demand for high-performance motors. In the solar energy field, motors are used to drive tracking devices on solar panels, enabling them to better receive solar energy and improve solar energy utilization. In the industrial sector, motors, as a core power source, are becoming increasingly critical with the advancement of Industry 4.0 and intelligent manufacturing. The widespread adoption of automated production lines in factories places stringent demands on the efficiency, precision, and reliability of motors. High-performance servo motors can precisely control the movement trajectory of robotic arms, enabling precise assembly of parts and greatly improving production accuracy and product quality; while high-efficiency and energy-saving asynchronous motors are widely used in various large-scale mechanical equipment, such as fans and pumps, reducing energy consumption while ensuring stable operation of industrial production.

[0003] However, in the current use of motors, the focus is generally on the motor's own operation, while the problem of increased motor energy consumption caused by environmental factors is ignored. This makes it difficult to detect abnormal motor energy consumption in a timely manner, thus affecting the motor's service life. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an intelligent energy consumption monitoring method for high-efficiency motors. This method combines environmental data sets and motor operation data sets to enable early prediction of environmental impacts. It overcomes the limitations of traditional methods that only focus on the motor's own parameters to judge its energy consumption, and promptly detects abnormal energy consumption during motor operation, thereby taking timely measures to improve the motor's operating efficiency.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for intelligent monitoring of energy consumption of a high-efficiency motor, comprising the following steps: Step 1: Establish a data acquisition module, and collect multiple environmental impact data during motor operation through the data acquisition module. Then, integrate, number, and save the multiple environmental impact data to form an environmental data set. Step 2: Acquire multiple motor operation data under the motor's operating status through the data acquisition module, and integrate and save the multiple motor operation data to form a motor operation data set; Step 3: Establish a data calculation module to calculate the environmental change index based on the environmental data set. Step 4: Calculate the motor operation change index based on the motor operation data set using the data calculation module; Step 5: Establish an analysis and judgment module. The analysis and judgment module calculates the environmental impact coefficient based on the environmental change index and the motor operation change index. Based on the calculation results of the environmental impact coefficient, it determines whether the current environment will increase the energy consumption of the current motor. Step 6: Establish a control processing module, which performs control processing based on the judgment results from the analysis and judgment module in Step 5.

[0006] Preferably, the data acquisition module collects ambient temperature, ambient humidity, dust concentration, pollutant concentration, and air circulation index, and integrates and numbers these data to form an environmental data set. The numbers for ambient temperature, ambient humidity, dust concentration, pollutant concentration, and air circulation index are represented as follows: .

[0007] Preferably, the data acquisition module acquires the power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature during motor operation, and integrates, numbers, and saves these data to form a motor operation data set. The numbers for power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature are represented as follows: .

[0008] Preferably, the monitoring time and time interval of each parameter in the environmental data set are consistent with the monitoring time and time interval of each parameter in the motor operation data set.

[0009] Preferably, the environmental change index The calculation formula is: In the calculation formula, Represents an environmental change index. The first one in the environmental dataset The parameter of the first The first monitoring value and the first The sum of the last four monitoring values ​​of the first monitoring value. The first one in the environmental dataset The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​of the first monitoring value. The first one in the environmental dataset The historical standard deviation of each parameter, where 5 represents the 5 parameters in the environmental dataset. This represents a dynamic index of five parameters in the environmental dataset, where... The calculation formula is: In the calculation formula, This represents the total amount of historical data included in the statistics. , Representing the The parameter of the first Historical records Representing the The average of all historical data for each parameter.

[0010] Preferably, the motor operating variation index The calculation formula is: In the calculation formula, Represents the motor's operating change index, The first in the set of motor operation data The parameter of the first The first monitoring value and the first The sum of the last four monitoring values ​​of the first monitoring value. The first in the set of motor operation data The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​of the first monitoring value. The first in the set of motor operation data The historical standard deviation of each parameter, where 7 represents the 7 parameters in the motor operation data set. This represents a dynamic index of seven parameters in the motor operation data set, among which... The calculation formula is: In the calculation formula, This represents the total amount of historical data included in the statistics. , Representing the The parameter of the first Historical records Representing the The average of all historical data for each parameter.

[0011] Preferably, the environmental impact coefficient The calculation formula is: In the calculation formula, Represents the environmental impact coefficient. Represents an environmental change index. Represents the motor's operating change index, The correlation coefficient between the environmental change index and the motor operation change index. Represents a positive number, with values ​​ranging from 1 to 2. , The calculation formula is: In the calculation formula, Representing the Environmental change index This represents the average value of the environmental change index. Representing the Individual motor operating change index, This represents the average value of the motor's operating change index.

[0012] Preferably, the environmental impact coefficient is compared with the environmental impact coefficient threshold. When the environmental impact coefficient exceeds the environmental impact coefficient threshold, it means that the current environment will increase the energy consumption of the current motor. At this time, the analysis and judgment module sends an adjustment signal to the control processing module for control processing.

[0013] Preferably, after receiving the adjustment signal, the control processing module activates the environmental adjustment equipment in the current motor operating area to automatically adjust the environmental parameters.

[0014] Preferably, after automatically adjusting the environmental parameters, the control processing module recalculates the adjusted environmental impact coefficient. If the adjusted environmental impact coefficient is still greater than the environmental impact coefficient threshold, it sends a maintenance signal to relevant personnel for manual intervention.

[0015] Compared with existing technologies, this invention provides a method for intelligent monitoring of energy consumption of high-efficiency motors, which has the following beneficial effects: 1. This invention integrates environmental data such as ambient temperature, humidity, dust concentration, pollutant concentration, and air circulation index to form an environmental data set. It comprehensively considers factors in the environment that can increase the energy consumption of motor operation, making it easier to analyze whether multiple environmental factors will affect the energy consumption of the motor. This enables early prediction of the environment and avoids ignoring environmental factors that lead to increased motor energy consumption and affect the service life of the motor. By integrating power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature to form a motor operation data set, it displays the energy consumption of motor operation from multiple dimensions. This breaks through the limitations of traditional methods that only focus on the parameters of the motor itself to judge the energy consumption of the motor. It can detect abnormal energy consumption during motor operation in a timely manner, so as to facilitate timely implementation of relevant measures to improve the operating efficiency of the motor and take corresponding measures to reduce energy consumption, thereby achieving energy-saving effects. 2. This invention compares the environmental impact coefficient with the environmental impact coefficient threshold, intuitively determining whether the environment affects motor energy consumption through the result of the environmental impact coefficient. In the case of an anomaly, it automatically adjusts the system. Based on the calculation results after automatic adjustment, a second judgment is made to promptly eliminate the impact of environmental factors on motor energy consumption. The second judgment verifies whether the automatic adjustment of environmental parameters effectively resolves the abnormal motor energy consumption. If the problem is not resolved, a maintenance signal is sent for manual intervention. This can effectively reduce abnormal motor energy consumption, improve motor efficiency, and extend motor lifespan. Attached Figure Description

[0016] Figure 1 This is a diagram illustrating the steps of the method of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 A method for intelligent monitoring of energy consumption of high-efficiency motors includes the following steps: Step 1: Establish a data acquisition module, and collect multiple environmental impact data during motor operation through the data acquisition module. Then, integrate, number, and save the multiple environmental impact data to form an environmental data set. The data acquisition module collects environmental data including ambient temperature, humidity, dust concentration, pollutant concentration, and air circulation index. It then integrates and numbers these data to form an environmental data set. The numerical representations of these data are as follows: ; By integrating ambient temperature, humidity, dust concentration, pollutant concentration, and air circulation index to form an environmental data set, the system comprehensively considers factors in the environment that can increase motor energy consumption. This facilitates the analysis of whether multiple environmental factors will affect motor energy consumption, enabling early prediction of environmental conditions and avoiding the neglect of environmental factors that could lead to increased motor energy consumption and affect motor lifespan. Step 2: Acquire multiple motor operation data under the motor's operating status through the data acquisition module, and integrate and save the multiple motor operation data to form a motor operation data set; The data acquisition module obtains data on power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature during motor operation. It then integrates and numbers these data to form a motor operation data set. The numbers for power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature are represented as follows: ; By integrating power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature to form a set of motor operation data, the energy consumption of motor operation is displayed in multiple dimensions. This breaks through the limitations of the traditional approach of judging motor energy consumption by only focusing on the parameters of the motor itself. It can detect abnormal energy consumption in motor operation in a timely manner, so as to facilitate timely implementation of relevant measures to improve the operating efficiency of the motor. The monitoring time and time interval of each parameter in the environmental dataset are consistent with the monitoring time and time interval of each parameter in the motor operation dataset; Aligning the timestamps of the environmental data set and the motor operation data set ensures that multiple parameters in the environmental data set and the motor operation data set are collected synchronously, avoiding errors in data sources due to time differences, improving the accuracy of data acquisition, and providing a high-quality data foundation for subsequent analysis of the impact of the environment on motor energy consumption; Step 3: Establish a data calculation module to calculate the environmental change index based on the environmental data set. The environmental change index The calculation formula is: In the calculation formula, Represents an environmental change index. The first one in the environmental dataset The parameter of the first The first monitoring value and the first The sum of the last four monitoring values ​​of the first monitoring value. The first one in the environmental dataset The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​of the first monitoring value. The first one in the environmental dataset The historical standard deviation of each parameter, where 5 represents the 5 parameters in the environmental dataset. This represents a dynamic index of five parameters in the environmental dataset, where... The calculation formula is: In the calculation formula, This represents the total amount of historical data included in the statistics. , Representing the The parameter of the first Historical records Representing the The average of all historical data for each parameter; By integrating the first The first monitoring value and the first Comparison of the total value of the last four monitoring values ​​with the first monitoring value The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​can be used to comprehensively judge changes in environmental parameters through multiple data, avoiding errors caused by judging from a single data point and improving the accuracy and reliability of the formula calculation. Step 4: Calculate the motor operation change index based on the motor operation data set using the data calculation module; Motor operation change index The calculation formula is: In the calculation formula, Represents the motor's operating change index, The first in the set of motor operation data The parameter of the first The first monitoring value and the first The sum of the last four monitoring values ​​of the first monitoring value. The first in the set of motor operation data The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​of the first monitoring value. The first in the set of motor operation data The historical standard deviation of each parameter, where 7 represents the 7 parameters in the motor operation data set. This represents a dynamic index of seven parameters in the motor operation data set, among which... The calculation formula is: In the calculation formula, This represents the total amount of historical data included in the statistics. , Representing the The parameter of the first Historical records Representing the The average of all historical data for each parameter; Similar to the calculation formula for the Environmental Change Index, by integrating the first... The first monitoring value and the first Comparison of the total value of the last four monitoring values ​​with the first monitoring value The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​can be used to comprehensively judge the changes in motor operation through multiple data, avoiding the errors caused by judging from a single data, improving the accuracy and reliability of the formula calculation. At the same time, the timestamps of the parameters of the environmental change index and the motor operation change index are consistent, which improves the accuracy of the judgment. Step 5: Establish an analysis and judgment module. The analysis and judgment module calculates the environmental impact coefficient based on the environmental change index and the motor operation change index. Based on the calculation results of the environmental impact coefficient, it determines whether the current environment will increase the energy consumption of the current motor. Environmental impact factor The calculation formula is: In the calculation formula, Represents the environmental impact coefficient. Represents an environmental change index. Represents the motor's operating change index, The correlation coefficient between the environmental change index and the motor operation change index. Represents a positive number, with values ​​ranging from 1 to 2. , The calculation formula is: In the calculation formula, Representing the Environmental change index This represents the average value of the environmental change index. Representing the Individual motor operating change index, The average value of the motor's operating change index; The environmental impact coefficient reflects the changes in motor operation under environmental changes by comparing the motor operation change index with the environmental change index. At the same time, the formula incorporates positive numbers to avoid the case where the denominator is 0, and the correlation coefficient between the environmental change index and the motor operation change index is combined to improve the accuracy of the formula calculation. The environmental impact coefficient is compared with the environmental impact coefficient threshold. When the environmental impact coefficient exceeds the environmental impact coefficient threshold, it means that the current environment will increase the energy consumption of the current motor. At this time, the analysis and judgment module sends an adjustment signal to the control processing module for control processing. Step 6: Establish a control processing module. After receiving the adjustment signal, the control processing module starts the environmental adjustment equipment in the current motor operating area to automatically adjust the environmental parameters. After automatically adjusting the environmental parameters, it recalculates the adjusted environmental impact coefficient. If the adjusted environmental impact coefficient is still greater than the environmental impact coefficient threshold, it sends a maintenance signal to the relevant personnel for manual intervention. By comparing the environmental impact coefficient with the environmental impact coefficient threshold, the results of the environmental impact coefficient can be used to intuitively determine whether the environment affects the motor energy consumption. In the case of an anomaly, automatic adjustment is performed. Based on the calculation results after automatic adjustment, a second judgment can be made to eliminate the impact of environmental factors on motor energy consumption in a timely manner. The second judgment verifies whether the automatic adjustment of environmental parameters has effectively resolved the abnormal motor energy consumption. If it has not resolved the problem, a maintenance signal is sent for manual intervention. This can effectively reduce abnormal motor energy consumption, improve motor efficiency, and extend motor life.

[0019] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for intelligent monitoring of energy consumption of a high-efficiency motor, characterized in that, Includes the following steps: Step 1: Establish a data acquisition module, and collect multiple environmental impact data during motor operation through the data acquisition module. Then, integrate, number, and save the multiple environmental impact data to form an environmental data set. Step 2: Acquire multiple motor operation data under the motor's operating status through the data acquisition module, and integrate and save the multiple motor operation data to form a motor operation data set; Step 3: Establish a data calculation module to calculate the environmental change index based on the environmental data set. Step 4: Calculate the motor operation change index based on the motor operation data set using the data calculation module; Step 5: Establish an analysis and judgment module. The analysis and judgment module calculates the environmental impact coefficient based on the environmental change index and the motor operation change index. Based on the calculation results of the environmental impact coefficient, it determines whether the current environment will increase the energy consumption of the current motor. Step 6: Establish a control processing module, which performs control processing based on the judgment results from the analysis and judgment module in Step 5.

2. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 1, characterized in that: The data acquisition module collects environmental data including ambient temperature, humidity, dust concentration, pollutant concentration, and air circulation index. It then integrates and numbers these data to form an environmental data set. The numbers for ambient temperature, humidity, dust concentration, pollutant concentration, and air circulation index are represented as follows: .

3. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 2, characterized in that: The data acquisition module obtains the power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature during motor operation. It then integrates and numbers these data to form a motor operation data set. The numbers for power consumption, efficiency, vibration, noise, axial thrust, system temperature, and cooling medium temperature are represented as follows: .

4. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 3, characterized in that: The monitoring time and time interval of each parameter in the environmental data set are consistent with the monitoring time and time interval of each parameter in the motor operation data set.

5. The energy consumption intelligent monitoring method for a high-efficiency motor according to claim 4, characterized in that: The environmental change index The calculation formula is: In the calculation formula, Represents an environmental change index. The first in the environmental dataset The parameter of the first The first monitoring value and the first The sum of the last four monitoring values ​​of the first monitoring value. The first in the environmental dataset The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​of the first monitoring value. The first in the environmental dataset The historical standard deviation of each parameter, where 5 represents the 5 parameters in the environmental dataset. This represents a dynamic index of five parameters in the environmental dataset, where... The calculation formula is: In the calculation formula, This represents the total amount of historical data included in the statistics. , Representing the The parameter of the first Historical records Representing the The average of all historical data for each parameter.

6. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 5, characterized in that: The motor operation change index The calculation formula is: In the calculation formula, Represents the index of motor operation variation. The first in the set of motor operation data The parameter of the first The first monitoring value and the first The sum of the last four monitoring values ​​of the first monitoring value. The first in the set of motor operation data The parameter of the first The first monitoring value and the first The sum of the first four monitoring values ​​of the first monitoring value. The first in the set of motor operation data The historical standard deviation of each parameter, where 7 represents the 7 parameters in the motor operation data set. This represents a dynamic index of seven parameters in the motor operation data set, among which... The calculation formula is: In the calculation formula, This represents the total amount of historical data included in the statistics. , Representing the The parameter of the first Historical records Representing the The average of all historical data for each parameter.

7. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 6, characterized in that: The environmental impact coefficient The calculation formula is: In the calculation formula, Represents the environmental impact coefficient. Represents an environmental change index. Represents the index of motor operation variation. The correlation coefficient between the environmental change index and the motor operation change index. Represents a positive number, with values ​​ranging from 1 to 2. , The calculation formula is: In the calculation formula, Representing the Environmental change index This represents the average value of the environmental change index. Representing the Individual motor operating change index, This represents the average value of the motor's operating change index.

8. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 7, characterized in that: The environmental impact coefficient is compared with the environmental impact coefficient threshold. When the environmental impact coefficient exceeds the environmental impact coefficient threshold, it means that the current environment will increase the energy consumption of the current motor. At this time, the analysis and judgment module sends an adjustment signal to the control processing module for control processing.

9. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 8, characterized in that: After receiving the adjustment signal, the control processing module activates the environmental adjustment equipment in the current motor operating area to automatically adjust the environmental parameters.

10. The method for intelligent monitoring of energy consumption of a high-efficiency motor according to claim 9, characterized in that: After automatically adjusting the environmental parameters, the control processing module recalculates the adjusted environmental impact coefficient. If the adjusted environmental impact coefficient is still greater than the environmental impact coefficient threshold, it sends a maintenance signal to relevant personnel for manual intervention.

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