A motor energy efficiency detection system and device
The motor energy efficiency detection system addresses load dynamics and factor analysis to provide comprehensive and accurate efficiency evaluations, enabling timely problem identification and optimization.
Patent Information
- Application Number
- CN202411160726.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-22
- Publication Date
- 2024-12-20
- Estimated Expiration
- 2044-08-22
AI Technical Summary
Existing motor energy efficiency testing methods fail to account for load dynamic characteristics, leading to one-sided evaluations and lack of optimization for motors meeting energy efficiency standards, resulting in inefficiencies and environmental impact.
A motor energy efficiency detection system that includes modules for performance detection, influencing factor analysis, and optimization, analyzing load states, lubrication, electrical, and mechanical factors to identify and optimize energy efficiency.
Accurately reflects motor efficiency under varying loads, identifies and solves potential issues, and provides targeted optimization measures to enhance efficiency.
Smart Images

Figure CN118777872B_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of motor energy efficiency detection, and relates to a motor energy efficiency detection system and equipment thereof. Background Art
[0002] With the acceleration of global industrialization and the rapid development of technology, motors, as core power components in various mechanical equipment, have a direct impact on their energy efficiency, energy consumption, and environmental impact. However, in actual applications, due to a variety of factors such as design, usage, and the environment, motor energy efficiency often fails to reach optimal performance. This not only increases operating costs for companies but also exacerbates energy waste and environmental pollution. Therefore, to ensure that motors maintain efficient and stable operation, real-time monitoring of their operating status and accurate evaluation of their energy efficiency performance are crucial.
[0003] The shortcomings of the current motor energy efficiency testing content are: (1) Existing technologies often focus on monitoring power transportation data, while ignoring the impact of load dynamic characteristics on motor energy efficiency. This leads to a one-sided evaluation of motor energy efficiency performance and is unable to fully reflect the energy efficiency status of the motor under different load conditions. In addition, when the motor energy efficiency does not meet the standards, there is a lack of in-depth analysis of the various factors affecting the motor energy efficiency. This leads to deviations in problem location and the inability to accurately identify the root cause of the motor energy efficiency failure.
[0004] (2) There is a lack of energy efficiency optimization testing for motors that have already met energy efficiency standards. For motors that have already met energy efficiency standards, existing technologies may lack further optimization measures, resulting in limited room for improving motor energy efficiency. Summary of the Invention
[0005] In view of this, in order to solve the problems raised in the above background technology, a motor energy efficiency detection system and equipment are proposed.
[0006] The objectives of the present invention can be achieved through the following technical solutions: The present invention provides a motor energy efficiency detection system, which includes: an energy efficiency performance detection module for identifying the motor operating load state, including full load and partial load, obtaining the load efficiency of the motor at each instantaneous point within a specified detection period, and numbering each instantaneous point as 1, 2,...t...,h, and analyzing the motor energy efficiency performance index based on this, and then determining whether the motor energy efficiency performance meets the standard.
[0007] The energy efficiency influencing factor analysis module is used to analyze the influencing units of various factors of motor energy efficiency, including lubrication factor influencing unit, electrical energy factor influencing unit, and mechanical factor influencing unit, to locate the source of problems when the motor energy efficiency performance does not meet the standards.
[0008] The lubrication factor influencing unit is used to locate each lubrication point, detect the temperature state index, fluidity state index, and pumping state index of the lubricating oil, and analyze the application quality coefficient of the lubricating oil.
[0009] The electric energy factor influencing unit is used to identify the variation pattern of the motor load and analyze the circuit stability coefficient.
[0010] The mechanical factor influencing unit is used to evaluate the speed stability coefficient when the motor is running under load, and compare it with a preset speed stability coefficient threshold. When it is lower than the preset speed stability coefficient threshold, the fault part of the motor speed instability is located.
[0011] The energy efficiency optimization module is used to identify the compliance rating when the motor energy efficiency performance meets the standard, and then optimize the motor energy efficiency based on the analysis content of the units affecting the various factors of motor energy efficiency.
[0012] A second aspect of the present invention provides a motor energy efficiency detection device, which stores one or more programs. The one or more programs can be executed by one or more processors to implement a motor energy efficiency detection system described in the present invention.
[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention analyzes the overall energy efficiency utilization and stability index of the motor operation by identifying the power loss of the motor under different load conditions, and judges whether the motor energy efficiency performance meets the standard based on this. It can reflect the actual energy efficiency performance of the motor more comprehensively and accurately, and help to timely discover and solve potential energy efficiency problems, which is of great significance to the continuous and stable operation of the motor.
[0014] (2) The present invention locates the source of the problem when the motor energy efficiency performance does not meet the standard by analyzing the various factors that affect the unit. It can detect and analyze from multiple dimensions to avoid the misleading effect of a single indicator, thereby improving the accuracy and timeliness of problem diagnosis.
[0015] (3) The present invention conducts an in-depth analysis of the various factors affecting the motor's energy efficiency performance under the condition of meeting the standards and implements targeted optimization measures, which can discover more potential optimization space and further improve the overall efficiency of the motor. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0017] Figure 1 This is a schematic diagram of the system module connection of the present invention. DETAILED DESCRIPTION
[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0019] See also Figure 1 As shown, the present invention provides a motor energy efficiency detection system, which includes: an energy efficiency performance detection module, an energy efficiency influencing factor analysis module, and an energy efficiency optimization module. The energy efficiency influencing factor analysis module includes a lubrication factor influence unit, an electric energy factor influence unit, and a mechanical factor influence unit.
[0020] The energy efficiency performance detection module is connected to the energy efficiency influencing factor analysis module, and the energy efficiency influencing factor analysis module is connected to the energy efficiency optimization module.
[0021] The lubrication factor influencing unit is connected to the electric energy factor influencing unit, and the electric energy factor influencing unit is connected to the mechanical factor influencing unit.
[0022] The energy efficiency performance detection module is used to identify the motor's operating load state, including full load and partial load, obtain the motor's load efficiency at each instantaneous point within a specified detection period, number each instantaneous point as 1, 2, ...t..., h, and analyze the motor's energy efficiency performance indicators based on this, and then determine whether the motor's energy efficiency performance meets the standard.
[0023] In a preferred embodiment, the identification of the motor operating load state is specifically as follows: obtaining the load torque of the motor at each instantaneous point in a specified detection period from the motor operation data recording terminal, and comparing it with the rated load torque of the motor. If the load torque at each instantaneous point in the specified detection period reaches the rated load torque of the motor, then the motor operating load state is identified as full load; otherwise, the motor operating load state is identified as partial load.
[0024] In a further preferred embodiment, the content of analyzing the motor energy efficiency performance index includes: extracting the fixed power loss W0 of the motor and extracting the motor running load state. When the motor running load state is full load, W 耗 =W0 as motor operating power loss.
[0025] The fixed power loss of the motor includes fixed loss of the DC bus caused by capacitor leakage current and current in the balancing resistor.
[0026] When the motor is in partial load state, the dynamic characteristic of the motor load is identified and matched with the preset dynamic characteristic of the load corresponding to each variable power loss to determine the variable power loss W0′ of the motor. 耗 =W0+W0′ as the motor operation power loss.
[0027] The dynamic characteristic indicator of the motor load is obtained by constructing a load fluctuation curve analysis.
[0028] The variable power loss includes copper loss, iron loss, etc. These losses will change with the change of load.
[0029] The instantaneous output power of the motor circuit is measured by a power meter, and the instantaneous speed and torque values of the motor during load operation are extracted from the motor operation data recording terminal to calculate the instantaneous output power of the motor. Where F is the torque, n is the instantaneous speed, and π is the pi. The ratio of the instantaneous output power and the instantaneous input power of the motor is recorded as the load efficiency. Based on this, the load efficiency I of each instantaneous point in the specified detection period is obtained. t .
[0030] Evaluate the overall energy efficiency of motor operation Where W1 is the preset power loss reference value of the motor under full load, W2 is the preset power loss reference value of the motor under partial load, A1 indicates that the motor is running under full load, A2 indicates that the motor is running under partial load, and h is the number of instantaneous points in the specified detection period.
[0031] The load efficiencies at each instantaneous point within the specified detection period are compared with each other to obtain the difference values of the load efficiencies corresponding to all instantaneous points within the specified detection period. The average of the difference values is taken to obtain the ratio of the preset reference difference value to the average value, which is recorded as the stability index of the motor operation.
[0032] The overall energy efficiency utilization rate and stability index of the motor operation are compared with the corresponding preset benchmark values respectively. If the overall energy efficiency utilization rate and stability index of the motor operation are higher than the corresponding preset benchmark values, the motor energy efficiency performance is judged to be up to standard; otherwise, the motor energy efficiency performance is judged to be substandard. The ratio of the overall energy efficiency utilization rate and stability index of the motor operation to the corresponding preset benchmark value is obtained, and the ratio is summed to obtain the motor energy efficiency performance index.
[0033] The present invention analyzes the overall energy efficiency utilization and stability indicators of the motor operation by identifying the power loss of the motor under different load conditions, and judges whether the motor energy efficiency performance meets the standards based on this. It can more comprehensively and accurately reflect the actual energy efficiency performance of the motor, help to timely discover and solve potential energy efficiency problems, and thus has important significance for the continuous and stable operation of the motor.
[0034] The energy efficiency influencing factor analysis module is used to analyze the various influencing units of the motor energy efficiency, including the lubrication factor influencing unit, the electrical energy factor influencing unit, and the mechanical factor influencing unit, to locate the source of the problem when the motor energy efficiency performance does not meet the standards.
[0035] The lubrication factor influencing unit is used to locate each lubrication point, detect the temperature state index, fluidity state index, and pumping state index of the lubricating oil, and analyze the application quality coefficient of the lubricating oil.
[0036] In a preferred embodiment, the process of analyzing the lubricant application quality coefficient is as follows: D1. Measure the environmental data of the lubricant tank at each instantaneous point in a specified detection period, such as temperature and pressure, through an induction probe, compare it with the preset reference value of the corresponding environmental data, and obtain the corresponding deviation value of each environmental data at each instantaneous point in the specified detection period. Sum them up to obtain the comprehensive environmental deviation data of the lubricant tank at each instantaneous point in the specified detection period, obtain the inverse ratio between it and the preset environmental deviation data allowable value, and then take the average of the corresponding inverse ratio values of all instantaneous points, which is recorded as the temperature state index Ts of the lubricant.
[0037] The sensing probes are, for example: a temperature sensing probe is installed at the center of the oil tank or in a key area where the oil flows, and a pressure sensor is installed at the oil inlet, outlet or key valve of the lubricating oil system.
[0038] D2. Measure key parameters of the liquid in the lubricating oil tank at each instant within a specified detection period, such as viscosity, particulate matter contamination, pH value, and conductivity, using sensor equipment. Compare these parameters with preset baseline values for the corresponding key parameters, and then obtain the lubricating oil flowability index Fs in the same manner as described above for obtaining the lubricating oil temperature state index.
[0039] The sensor equipment includes, for example, a kinematic viscometer and a particle counting sensor.
[0040] D3. Obtain the motor equipment oil circuit design diagram, extract the lubricating oil delivery path from it, and locate each lubrication point, such as bearings, gears, couplings, etc. Observe the delivery data of the lubricating oil to each lubrication point, including flow rate, speed, etc., and compare it with the preset reference data of the corresponding delivery data to obtain the deviation measurement of each delivery data for each lubrication point. Then, obtain the ratio between the deviation measurement and the preset allowable deviation value of the corresponding delivery data. Calculate the mean value to obtain the lubricating oil delivery resistance indicator, and then obtain the inverse ratio between the deviation measurement and the preset delivery resistance reference indicator, which is recorded as the lubricating oil pumping state index Ps;
[0041] D4. Analyze the lubricant application quality coefficient Q = A*Ts+B*Fs+C*Ps, where A, B, and C are designated constants, for example, A = 2, B = 3, and C = 2.
[0042] The present invention collects and analyzes the temperature state index, fluidity state index, pumping state index of lubricating oil and analyzes the application quality coefficient of lubricating oil, which can provide more powerful data support for the decision-making of enterprises.
[0043] The electric energy factor influencing unit is used to identify the variation pattern of the motor load and analyze the circuit stability coefficient.
[0044] In a preferred embodiment, the process of analyzing the circuit stability coefficient is as follows: extracting the transmission voltage U of the motor operation circuit at each instantaneous point in the specified detection period from the motor operation data recording terminal t , analyze the power supply voltage transmission stability coefficient Where U( t+1 ) is the delivery voltage of the motor operation circuit at the t+1th instantaneous point within the specified detection period, and ΔU is the preset reference floating voltage between the two instantaneous points.
[0045] Extract the load torque of the motor at each instantaneous point within the specified detection period, use each instantaneous point as the horizontal coordinate and the load torque as the vertical coordinate to construct a load fluctuation curve, identify the motor load change law, which includes load superposition, load decrease, periodic fluctuation, and irregular fluctuation. Match the motor load change law with the preset dynamic characteristic indicators corresponding to various change laws to obtain the dynamic characteristic indicator X of the motor load, and then It is denoted as the circuit stability coefficient, and e is a natural constant.
[0046] The method of identifying the motor load change law is specifically as follows: extracting the corresponding coordinates of each peak point and each valley point from the load fluctuation curve, and comparing the vertical coordinates of each peak point with each other; if the vertical coordinates of each peak point are greater than the vertical coordinates of the previous adjacent peak point, the motor load change law is marked as an increasing load; if the vertical coordinates of each peak point are less than the vertical coordinates of the previous adjacent peak point, the motor load change law is marked as a decreasing load; if the vertical coordinates of each peak point are within the specified high peak range value and the coordinates of each valley point are within the specified low peak range value, the motor load change law is marked as a periodic fluctuation; if the above characteristics do not exist, the motor load change law is marked as an irregular fluctuation.
[0047] The present invention analyzes the circuit stability coefficient by comprehensively analyzing the power supply voltage stability coefficient and the motor load variation law, which can more accurately locate the motor performance problems. For example, voltage fluctuations may cause unstable motor operation, while sudden load changes may trigger circuit overload protection.
[0048] The mechanical factor influencing unit is used to evaluate the speed stability coefficient when the motor is running under load, and compare it with a preset speed stability coefficient threshold. When it is lower than the preset speed stability coefficient threshold, the fault part of the motor speed instability is located.
[0049] In a preferred embodiment, the analysis of the speed stability coefficient of the motor during load operation includes: extracting the instantaneous speed n of the motor at each instantaneous point in the specified detection period from the motor operation data recording terminal; t , select the maximum and minimum values, make a difference between them and compare them with the preset motor speed fluctuation measurement, and record the inverse value as κ0.
[0050] Extract the preset expected speed of the motor under each input power state, compare it with the instantaneous input power of the motor at each instantaneous point in the specified detection period, and obtain the expected speed n of the motor at each instantaneous point in the specified detection period. t ′, analyze the motor speed control accuracy Where Δn is the preset motor speed underload measure.
[0051] Evaluate the speed stability factor of the motor when it is running under load
[0052] In a further preferred embodiment, the fault location of the unstable motor speed is specifically located in the following manner: the temperature of each lubrication point is monitored by a temperature sensor, and the temperature is subtracted from the preset reference temperature of the corresponding lubrication point, and then the ratio of the temperature difference to the preset reference temperature difference is obtained, which is recorded as the friction coefficient of each lubrication point.
[0053] By performing structural scanning on each lubrication point, a structural image of each lubrication point is obtained. Based on the preset texture features corresponding to each damage state, the corresponding comprehensive area of the damage texture of each lubrication point is identified through image recognition technology, and compared with the preset damage reference area. The ratio is recorded as the damage coefficient of each lubrication point.
[0054] The friction coefficient and damage coefficient of each lubrication point are multiplied to obtain the degree of mechanical failure of each lubrication point of the motor. The degree of mechanical failure of each lubrication point of the motor is compared with the preset mechanical failure degree threshold. The lubrication points with a mechanical failure degree exceeding the preset mechanical failure degree threshold are screened out and recorded as the faulty parts of the motor with unstable speed.
[0055] The present invention detects the damage coefficient of each lubrication point and the speed stability coefficient of the motor when it is running under load, and locates the fault part where the motor speed is unstable. According to the detection results, the time cost of fault diagnosis can be reduced, and a more scientific and reasonable maintenance plan can be formulated.
[0056] In a further preferred embodiment, the process of locating the source of the problem when the motor energy efficiency performance does not meet the standard is as follows: the lubricating oil application quality coefficient, the circuit stability coefficient, and the speed stability coefficient when the motor is under load are respectively recorded as the evaluation coefficients of each factor influencing unit, and then they are compared with the preset evaluation coefficient thresholds of the corresponding factor influencing unit. If the evaluation coefficient of a factor influencing unit is lower than the preset evaluation coefficient threshold of the corresponding factor influencing unit, the factor influencing unit is recorded as the source of the problem when the motor energy efficiency performance does not meet the standard, and feedback is then given to the source of the problem.
[0057] The present invention locates the source of the problem when the motor energy efficiency performance does not meet the standard by analyzing the various influencing units of the factors when the motor energy efficiency performance does not meet the standard. From multi-dimensional detection and analysis, it can more comprehensively identify the potential problems that cause the motor energy efficiency to not meet the standard, avoid the misleading effect of a single indicator, and improve the accuracy and timeliness of problem diagnosis.
[0058] The energy efficiency optimization module is used to identify the compliance rating when the motor energy efficiency performance meets the standard, and then optimize the motor energy efficiency based on the analysis content of the unit affecting each factor of the motor energy efficiency.
[0059] In a preferred embodiment, the specific content of optimizing the motor energy efficiency is: when the motor energy efficiency performance meets the standard, the motor energy efficiency performance index is matched with the preset energy efficiency performance standard range corresponding to each standard rating to determine the standard rating of the motor energy efficiency performance.
[0060] According to the above analysis method, the influencing units of the motor energy efficiency are analyzed in the same way. If the evaluation coefficient of a certain influencing unit is lower than the preset evaluation coefficient threshold of the corresponding influencing unit, the influencing unit is recorded as a unit to be optimized.
[0061] If the unit to be optimized is a lubrication factor-affected unit, corresponding regulation and control will be performed based on the temperature state index, fluidity state index, and pumping state index of the lubricating oil.
[0062] The exemplary operations for performing corresponding regulation based on the temperature state index, fluidity state index, and pumping state index of the lubricating oil are: 1) comparing the temperature state index of the lubricating oil with a preset temperature reference index; if the temperature state index of the lubricating oil is lower than the preset temperature reference index, performing leakage detection feedback on the lubricating oil tank.
[0063] 2) Compare the fluidity state index of the lubricating oil with the preset fluidity reference index. If the fluidity state index of the lubricating oil is lower than the preset fluidity reference index, replace the liquid in the lubricating oil tank and provide feedback.
[0064] 3) Compare the pumping state index of the lubricating oil with the preset pumping reference index. If the pumping state index of the lubricating oil is lower than the preset pumping reference index, adjust the delivery flow and pressure of the lubricating oil.
[0065] If the unit to be optimized is an electric energy factor-affected unit, the power supply is regulated based on the motor load variation rule.
[0066] The exemplary operation of regulating the power supply based on the motor load change law is: matching the motor load change law with the preset circuit demand power corresponding to each change law, determining the demand power of the motor circuit, and then regulating the power supply according to the demand power.
[0067] If the unit to be optimized is a unit affected by mechanical factors, the fault location of the unstable motor speed is extracted. If a fault location of the unstable motor speed exists, maintenance feedback is provided for the fault location of the unstable motor speed. Otherwise, the motor input frequency is adjusted to change its speed.
[0068] The exemplary operation of adjusting the motor input frequency to change its speed is: clarifying the desired speed range of the motor, setting the relevant parameters of the motor speed regulator, including input voltage, output voltage, output frequency, acceleration time, deceleration time, etc., gradually increasing or decreasing the output frequency through the control panel or speed regulator software of the motor speed regulator, and using a speed measuring instrument to detect the actual speed of the motor so that the motor speed reaches the required accuracy.
[0069] Specifically, the speed of the motor is directly proportional to its input frequency. Therefore, when the input frequency increases, the speed of the motor will increase accordingly. Conversely, when the input frequency decreases, the speed of the motor will decrease.
[0070] By conducting an in-depth analysis of the various influencing elements of the motor when its energy efficiency performance meets the standards and implementing targeted optimization measures, the present invention can discover more potential optimization space and further improve the overall efficiency of the motor.
[0071] A second aspect of the present invention provides a motor energy efficiency detection device, which stores one or more programs. The one or more programs can be executed by one or more processors to implement a motor energy efficiency detection system described in the present invention.
[0072] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the scope of protection of the present invention.
Claims
1. A motor energy efficiency detection system, characterized in that: The system includes: The energy efficiency performance detection module is used to identify the motor operating load state, including full load and partial load, obtain the load efficiency of the motor at each instantaneous point in the specified detection period, and number each instantaneous point as , based on which the motor energy efficiency performance indicators are analyzed to determine whether the motor energy efficiency performance meets the standards; Energy efficiency influencing factor analysis module is used to analyze the influencing units of motor energy efficiency, including lubrication factor influencing unit, electric energy factor influencing unit, and mechanical factor influencing unit, to locate the source of the problem when the motor energy efficiency performance does not meet the standard; The lubrication factor influencing unit is used to locate each lubrication point, detect the temperature state index, fluidity state index, and pumping state index of the lubricating oil, and analyze the application quality coefficient of the lubricating oil; The electric energy factor influencing unit is used to identify the change law of motor load and analyze the circuit stability coefficient; The mechanical factor influencing unit is used to evaluate the speed stability coefficient when the motor is running under load, and compare it with a preset speed stability coefficient threshold. When it is lower than the preset speed stability coefficient threshold, the fault position of the motor speed instability is located; Energy efficiency optimization module, which is used to identify the compliance rating of motor energy efficiency performance when it meets the standard, and then optimize the motor energy efficiency based on the analysis content of the units affecting the motor energy efficiency; The content of analyzing the motor energy efficiency performance index includes: extracting the fixed power loss of the motor , and extract the motor running load state. When the motor running load state is full load, As power loss in motor operation; Determine the variable power loss of the motor when the motor is operating at partial load ,Will As power loss in motor operation; The instantaneous output power of the motor circuit is measured by a power meter, and the instantaneous output power of the motor is calculated. The corresponding ratio of the instantaneous output power of the motor to the instantaneous input power is recorded as the load efficiency, and the load efficiency at each instantaneous point in the specified detection period is obtained based on this. ; Evaluate the overall energy efficiency of motor operation , where is the preset power loss reference value of the motor under full load. is the preset power loss reference value of the motor under partial load condition, Indicates that the motor is running at full load. Indicates that the motor is running at partial load. is the number of instantaneous points within the specified detection period; Compare the load efficiency at each instantaneous point within the specified detection period to analyze the stability index of the motor operation; The overall energy efficiency utilization rate and stability index of the motor operation are respectively compared with the corresponding preset reference values. If the overall energy efficiency utilization rate and stability index of the motor operation are higher than the corresponding preset reference values, the motor energy efficiency performance is judged to be up to standard. Otherwise, the motor energy efficiency performance is judged to be not up to standard. The ratio of the overall energy efficiency utilization rate and stability index of the motor operation to the corresponding preset reference value is obtained, and the ratio is summed to obtain the motor energy efficiency performance index; The process of analyzing the lubricant application quality coefficient is as follows: D1. Use the induction probe to measure the environmental data of the lubricating oil tank at each instantaneous point in the specified detection period and analyze the temperature status index of the lubricating oil. ; D2. Use sensor equipment to measure the key parameters of the liquid in the lubricating oil tank at each instantaneous point within the specified detection period, and analyze the flow state indicators of the lubricating oil. ; D3. Obtain the oil circuit design drawing of the motor equipment, extract the lubricating oil delivery path from it, locate each lubricating point, observe the delivery data of the lubricating oil to each lubricating point, calculate the lubricating oil delivery resistance index, and then analyze the lubricating oil pumping status index ; D4. Analyze the application quality coefficient of lubricating oil , where are specified constants respectively; The process of analyzing the circuit stability coefficient is as follows: extract the transmission voltage of the motor operation circuit at each instantaneous point in the specified detection period, and analyze the power supply voltage transmission stability coefficient ; Construct a load fluctuation curve, identify the motor load change law, match the motor load change law with the preset dynamic characteristic indicators corresponding to various change laws, and obtain the dynamic characteristic indicators of the motor load , and then It is denoted as the circuit stability coefficient, and e is a natural constant; The analysis of the speed stability coefficient of the motor when it is running under load includes: extracting the instantaneous speed of the motor at each instantaneous point in the specified detection period , select the maximum and minimum values, make a difference between them and compare them with the preset motor speed floating measurement, and record the inverse value as ; Extract the preset expected speed of the motor under each input power state, and obtain the expected speed of the motor at each instant in the specified detection period , analyze the motor speed control accuracy , where Underload measure for preset motor speed; Evaluate the speed stability factor when the motor is running under load ; The process of locating the problem source when the motor energy efficiency performance does not meet the standard is as follows: the lubricating oil application quality coefficient, the circuit stability coefficient, and the speed stability coefficient when the motor is running under load are respectively recorded as the evaluation coefficients of each factor influencing unit, and then they are respectively compared with the preset evaluation coefficient thresholds of the corresponding factor influencing unit. If the evaluation coefficient of a certain factor influencing unit is lower than the preset evaluation coefficient threshold of the corresponding factor influencing unit, the factor influencing unit is recorded as the problem source of the motor energy efficiency performance not meeting the standard; The specific content of optimizing the motor energy efficiency is: when the motor energy efficiency performance meets the standard, the motor energy efficiency performance index is matched with the preset energy efficiency performance meeting range corresponding to each standard rating, and the standard rating of the motor energy efficiency performance meeting the standard is determined; According to the above analysis method, the influencing units of the motor energy efficiency are analyzed in the same way. If the evaluation coefficient of a certain influencing unit is lower than the preset evaluation coefficient threshold of the corresponding influencing unit, the influencing unit is recorded as a unit to be optimized. If the unit to be optimized is a lubrication factor-affected unit, corresponding regulation is performed based on the temperature state index, fluidity state index, and pumping state index of the lubricating oil; If the unit to be optimized is a unit affected by electric energy factors, the power supply is regulated based on the change law of motor load; If the unit to be optimized is a unit affected by mechanical factors, the fault location of the unstable motor speed is extracted. If there is a fault location of the unstable motor speed, maintenance feedback is performed on the fault location of the unstable motor speed. Otherwise, the motor input frequency is adjusted to change its speed.
2. A motor energy efficiency detection system according to claim 1, characterized in that: The identification of the motor operating load state is specifically as follows: the load torque of the motor at each instantaneous point in a specified detection period is obtained, and it is compared with the rated load torque of the motor. If the load torque at each instantaneous point in the specified detection period reaches the rated load torque of the motor, then the motor operating load state is identified as full load; otherwise, the motor operating load state is identified as partial load.
3. A motor energy efficiency detection system according to claim 1, characterized in that: The method of locating the fault part of the motor with unstable speed is as follows: monitoring the temperature of each lubrication point and analyzing the friction coefficient of each lubrication point; By scanning the structure of each lubrication point, the structural image of each lubrication point is obtained, and the damage coefficient of each lubrication point is analyzed; The friction coefficient and damage coefficient of each lubrication point are multiplied to obtain the degree of mechanical failure of each lubrication point of the motor. The degree of mechanical failure of each lubrication point of the motor is compared with the preset threshold value of mechanical failure degree, and the lubrication points whose mechanical failure degree exceeds the preset threshold value of mechanical failure degree are screened out and recorded as the faulty parts of the motor with unstable speed.
4. A motor energy efficiency testing device, characterized in that: The motor energy efficiency detection device stores one or more programs, and the one or more programs can be executed by one or more processors to implement a motor energy efficiency detection system as described in any one of claims 1-3.
