Variable frequency converter state management method and device, electronic equipment and storage medium

Abstract

This application provides a method, apparatus, electronic device, and storage medium for inverter status management. The inverter status management method includes: determining the inverter's availability indicators, system performance indicators, and system quality indicators; whereby the availability indicators indicate the inverter's operating status, the system performance indicators indicate the inverter's control performance, and the system quality indicators indicate the inverter's operational stability; performing statistical analysis on the availability indicators, system performance indicators, and system quality indicators to determine the inverter's comprehensive performance indicators; when the comprehensive performance indicators meet the first health state condition, managing the inverter's status as a healthy state; and when the comprehensive performance indicators do not meet the first health state condition, determining the inverter's status based on the availability indicators, system performance indicators, or system quality indicators, and performing status management on the inverter. This solution can monitor and manage the health status of inverters.

Description

Technical Field

[0001] This application relates to the field of industrial automation technology, and in particular to a method, apparatus, electronic device and storage medium for inverter status management. Background Technology

[0002] A variable-frequency drive (VFD) is a power control device that uses frequency conversion technology and microelectronics to control an AC motor by changing the frequency of the power supply. In today's industrial development, VFDs play an increasingly important role, directly determining the efficiency and stability of the entire production process.

[0003] Therefore, accurately determining the operating status of the frequency converter is of great significance for the maintenance of the frequency converter and the stable operation of the entire system. Summary of the Invention

[0004] In view of this, the inverter status management method, device, electronic equipment and storage medium provided in this application are capable of monitoring and managing the health status of the inverter.

[0005] According to a first aspect of the embodiments of this application, a method for managing the status of a frequency converter is provided, comprising: determining an availability index, a system performance index, and a system quality index of the frequency converter, wherein the availability index indicates the operating status of the frequency converter, the system performance index indicates the control performance of the frequency converter, and the system quality index indicates the operating stability of the frequency converter; performing statistical analysis on the availability index, the system performance index, and the system quality index to determine a comprehensive performance index of the frequency converter; when the comprehensive performance index meets a first health state condition, managing the status of the frequency converter as a healthy state; and when the comprehensive performance index does not meet the first health state condition, determining the status of the frequency converter based on the availability index, the system performance index, or the system quality index, and performing status management on the frequency converter.

[0006] According to a second aspect of the embodiments of this application, a frequency converter status management device is provided, connected to at least one frequency converter, comprising: an operating parameter acquisition module, configured to acquire multiple parameters of the frequency converter during operation; an index determination module, configured to determine an availability index, a system performance index, and a system quality index of the frequency converter based on the acquired multiple parameters, wherein the availability index indicates the operating status of the frequency converter, the system performance index indicates the control performance of the frequency converter, and the system quality index indicates the operating stability of the frequency converter; a comprehensive index determination module, configured to perform statistical analysis by combining the availability index, the system performance index, and the system quality index to determine a comprehensive performance index of the frequency converter; and a status management module, configured to manage the status of the frequency converter as a healthy state when the comprehensive performance index meets a first healthy state condition; and to determine the status of the frequency converter based on the availability index, the system performance index, or the system quality index when the comprehensive performance index does not meet the first healthy state condition, and to perform status management on the frequency converter.

[0007] According to a third aspect of the present application, an electronic device is provided, including: a processor, a memory, a communication interface, and a bus, wherein the processor, the memory, and the communication interface communicate with each other through the bus; the memory is used to store at least one executable instruction, which causes the processor to perform an operation corresponding to the inverter state management method described in the first aspect above.

[0008] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided, wherein computer instructions are stored on the computer-readable storage medium, and when executed by a processor, the computer instructions cause the processor to perform the inverter state management method as described in the first aspect above.

[0009] According to a fifth aspect of the present application, a computer program product is provided, which is tangibly stored on a computer-readable medium and includes computer-executable instructions that, when executed, cause at least one processor to perform the inverter state management method as described in the first aspect above.

[0010] As can be seen from the above technical solution, by determining the availability indicators, system performance indicators, and system quality indicators of the frequency converter, and combining these indicators, the comprehensive performance indicators of the frequency converter can be determined. The health status of the frequency converter is then assessed based on these comprehensive performance indicators to facilitate state management. When the comprehensive performance indicators meet the first health state condition, the frequency converter is managed as being in a healthy state. When the comprehensive performance indicators do not meet the first health state condition, the frequency converter's state is determined based on the availability indicators, system performance indicators, or system quality indicators, and state management is then performed. This involves assessing the health status of the availability indicators, system performance indicators, and system quality indicators used to determine the comprehensive performance indicators. This facilitates state management of the frequency converter, allows for precise estimation of fault states, provides a basis for state management, and improves the accuracy and efficiency of frequency converter state management. Attached Figure Description

[0011] Figure 1 This is a flowchart of a frequency converter status management method according to an embodiment of this application;

[0012] Figure 2 This is a schematic diagram of the ripple in one embodiment of this application;

[0013] Figure 3 This is a schematic diagram of a frequency converter status management device according to an embodiment of this application;

[0014] Figure 4 This is a schematic diagram of an electronic device according to an embodiment of this application.

[0015] List of reference numerals in the attached diagram:

[0016] 101: Determine the availability indicators, system performance indicators, and system quality indicators of the frequency converter. Availability indicators indicate the operating status of the frequency converter, system performance indicators indicate the control performance of the frequency converter, and system quality indicators indicate the operational stability of the frequency converter.

[0017] 102: Statistical analysis is conducted by combining availability indicators, system performance indicators, and system quality indicators to determine the comprehensive performance indicators of the frequency converter.

[0018] 103: When the comprehensive performance indicators meet the first health state conditions, the inverter's status shall be managed as a healthy state.

[0019] 104: When the overall performance indicators do not meet the conditions for the first healthy state, the state of the frequency converter is determined based on availability indicators, system performance indicators, or system quality indicators, and state management of the frequency converter is performed.

[0020] 100: Inverter status management method; 300: Inverter status management device; 301: Operating parameter acquisition module

[0021] 302: Indicator Determination Module; 303: Comprehensive Indicator Determination Module; 304: Status Management Module

[0022] 400: Electronic device; 402: Processor; 404: Communication interface

[0023] 406: Memory; 408: Bus; 410: Program Detailed Implementation

[0024] As mentioned earlier, the operational status of the frequency converter system directly determines the efficiency and stability of the entire production process. An unstable frequency converter system will lead to production disruptions, decreased product quality, and even unplanned shutdowns, causing production halts, potentially resulting in major equipment accidents and personnel safety risks. If frequency converter system maintenance is only initiated when a fault occurs, the production process will be interrupted, causing significant economic losses and safety hazards. Furthermore, the frequency converter system is often already in a suboptimal state before the fault, naturally leading to decreased production efficiency and poor product quality. Additionally, by the time a frequency converter fails, the equipment damage is already substantial, potentially rendering it unrepairable.

[0025] Therefore, real-time monitoring of the inverter's operating status during operation and real-time management of the inverter's status based on the operating conditions are of great significance for improving production efficiency, timely maintenance of the inverter, and extending the inverter's service life.

[0026] In practical applications, while continuous collection of process data generated by inverters throughout the entire production line for preventative maintenance can monitor the status of inverters, the sheer volume of such data grows exponentially as the requirements for inverter system functionality, performance, efficiency, and reliability continue to increase. The sheer volume of data, coupled with strong inter-data coupling, makes real-time monitoring and alarm analysis of this massive amount of process data virtually impossible.

[0027] Based on this, the embodiments of this application provide a method for monitoring the safe and reliable operation of the inverter by collecting changes in certain important characteristic parameters of the inverter system during operation based on time or event, relying on real data and reliable methods to evaluate the health status of the equipment itself, and combining scientific fault diagnosis to take necessary measures to mitigate the performance degradation of the equipment.

[0028] The inverter status management method, system, electronic device, and storage medium provided in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0029] Inverter status management method

[0030] Figure 1 This is a flowchart of a frequency converter state management method according to an embodiment of this application. Figure 1 As shown, the inverter status management method 100 includes the following steps:

[0031] Step 101: Determine the availability index, system performance index, and system quality index of the frequency converter. The availability index indicates the operating status of the frequency converter, the system performance index indicates the control performance of the frequency converter, and the system quality index indicates the operating stability of the frequency converter.

[0032] In the exemplary embodiments of this application, some important characteristic parameters related to the frequency converter are monitored, and the changes of these parameters during the operation of the frequency converter are collected. Based on these parameters, the health status of the frequency converter itself is judged, so as to take corresponding measures to manage the frequency converter, alleviate the performance degradation of the frequency converter equipment, and provide a foundation for high-speed and efficient production.

[0033] In practical applications, availability is a crucial attribute of frequency converters. It reflects both the readiness of the drive system to operate at any given time and the efficiency of the frequency converter's utilization. Therefore, extracting availability indicators from frequency converters is essential for assessing their health status, as these indicators can clearly define the converter's operating condition.

[0034] In an exemplary embodiment of this application, the availability index K of the frequency converter is... A_o The ratio of the running time to the standard working time within the standard working time of the frequency converter can be determined, as shown in formula (1).

[0035]

[0036] Among them, T N This represents the standard working time, for example, 1440 minutes; t run SA represents the operating time of the frequency converter within its standard operating time, in minutes; SA represents the system availability index K. A_o The unit is %.

[0037] In an exemplary embodiment of this application, the system performance index K of the frequency converter is... P_o This indicates the control performance of the frequency converter and reflects the stability of the frequency converter system. It can usually be measured through indicators such as... Figure 2 The ripple pattern shown represents this. In the ripple, the curve represents the actual value, and the straight line represents the given value. In actual measured data, the actual value fluctuates around the given value, which can be represented by the ripple pattern. Figure 2 The area between the upper and lower lines is the fluctuation zone.

[0038] In practical applications, there are many indicators that can characterize system performance. The exemplary implementation of this application selects four sub-indicators to determine the system performance index K. P_o This includes: the relative fluctuation index K of the actual rotational speed. P1 Torque relative fluctuation index K P2 The absolute fluctuation index K of actual speed P3 and torque absolute waveform index K P4 System performance index K P_o It can be determined by the weighted sum of these four sub-indicators, as shown in formula (2).

[0039] K P_o =w P ·K P (2)

[0040] in, These are the weighting coefficients;

[0041] K P =[K p1 K P2 K P3 K P4 ] T For the above-mentioned system performance index K P_o The four relevant indicators;

[0042] The weighting coefficients satisfy the following relationship:

[0043]

[0044] Furthermore, the coefficients take values ​​in the range of [0 1].

[0045] In addition, the relative fluctuation index K of the above four actual speed values P1 Torque relative fluctuation index K P2 The absolute fluctuation index K of actual speed P3 and torque absolute waveform index K P4 It can be obtained based on either an absolute ripple performance evaluation algorithm or a relative ripple performance evaluation algorithm. Among them, the relative fluctuation index K of the actual rotational speed value... P1 and torque relative fluctuation index K P2 Based on the relative ripple performance judgment algorithm, the absolute fluctuation index K of the actual speed value is obtained. P3 and torque absolute waveform index K P4 Obtained based on the absolute ripple performance evaluation algorithm.

[0046] The absolute ripple performance evaluation algorithm and the relative ripple performance evaluation algorithm are explained in detail below:

[0047] Assume the ripple performance dataset is as follows:

[0048] Given a data set: s = {s i , i = 1…N}

[0049] Actual value data set: A = {a i , i = 1…N}

[0050] Deviation data set: X = {x i , i = 1…N} = SA

[0051] Where: N corresponds to the amount of data used.

[0052] Absolute ripple performance evaluation algorithm (standard deviation σ) a )as follows:

[0053] Step 1: First, normalize the data and construct an extreme value dataset based on the definition of ripple "bands":

[0054] In the original data set {x i {x} max x min}={max(X) min(X)}

[0055] Step 2: Normalization formula and data set Y a ={y a_i , i = 1…N}:

[0056]

[0057] Where: Y a ={y a_i The dataset , i = 1…N} is called the normalized dataset, which is dimensionless data with a numerical range of

[01] .

[0058] Step 3: Calculate the average value from the normalized data:

[0059]

[0060] Step 4: Standard Deviation Formula:

[0061]

[0062] Where: σ a : Absolutely stable operator, numerical range

[01] .

[0063] The algorithm for determining relative ripple performance is as follows:

[0064] Step 1: Relative to the given bias dataset Y r ={y r_i ,i=1…N}:

[0065]

[0066] Step 2: Average the deviation data:

[0067]

[0068] Step 3: Relative ripple performance assessment algorithm (standard deviation σ):

[0069]

[0070] Where: σ r : Relative stability operator, numerical range [0 1];

[0071] Based on the relative ripple performance judgment algorithm, the relative fluctuation index K of the actual speed value is obtained. P1 and torque relative fluctuation index K P2 The absolute fluctuation index K of the actual speed is obtained based on the absolute ripple performance judgment algorithm. P3 and torque absolute waveform index K P4 Then, these four indicators can be weighted to obtain the system performance indicator K. P_o Alright.

[0072] In an exemplary embodiment of this application, the system quality index K Q_o The main sub-indicators include: inverter failure rate index K. Q1 Inverter load rate index K Q2 Inverter temperature index K Q3 The relative fluctuation index K of the DC bus voltage of the frequency converter Q4 The load rate K of the CU (Control Unit, the controller of the frequency converter) Q5 The absolute fluctuation index K of the DC bus voltage of the frequency converter Q6 The absolute fluctuation index K of the DC bus voltage drop of the frequency converter Q7 The absolute fluctuation index K of the DC bus voltage rise of the frequency converter Qa Variable frequency drive ambient temperature index K Q9 Motor load rate index K Q10 and motor temperature index K Q11 At least one of them.

[0073] In practical applications, the system quality index K Q_o It is determined by the weighting ratios of at least some of the aforementioned indicators. The specific weighting ratios can be obtained through weight analysis based on data from the expert database.

[0074] Inverter failure rate index K Q1This reflects the impact of downtime caused by inverter failure on the continuous operation of the inverter, and its determination can be made with reference to formula (10):

[0075]

[0076] Among them, t F Continuous statistical analysis of the standard operating time T of the frequency converter N Downtime due to fault within the specified time, in minutes;

[0077] t run Continuous statistical analysis of the standard operating time T of the frequency converter N The running time within the specified time, in minutes; FR is the inverter failure rate.

[0078] Inverter load rate index K Q2 It is an indicator reflecting the load condition of the frequency converter, and its determination can be made with reference to formula (11):

[0079]

[0080] Among them, L A ={L A_i , i = 1…N} represents the standard working time T N Internally collected inverter load, in percentage;

[0081] L S_U : Maximum load factor; L S_N Standard load rate; standard working time T can be calculated according to formula (8). N Average load factor within LRE represents the inverter load rate.

[0082] Inverter temperature index K Q3 It is an indicator reflecting the temperature of the IGBT (Insulated Gate Bipolar Transistor) power device in the frequency converter, and its determination can be made with reference to formula (12):

[0083]

[0084] Among them, T IGBT ={T IGBT , i = 1…N}: During standard working time T N Temperature of the IGBT power devices in the inverter collected internally, in °C; T IGBT_LIM : Upper limit of IGBT temperature monitoring; T IGBT_N : Temperature reference point during inverter operation; the standard operating time T can be calculated according to formula (8). N Average temperature of the internal frequency converter IGBT TI stands for Temperature Specification for Power Devices.

[0085] The relative fluctuation index K of the DC bus voltage of the frequency converter Q4 It reflects the fluctuation of the inverter's DC bus voltage relative to the steady-state reference value.

[0086] Original data: V s ={V set_i The data set i = 1…N} corresponds to the steady-state reference dataset of DC bus voltage;

[0087] in:

[0088] The DC bus voltage setting depends on the type of drive system: inverter, unregulated rectifier, and regulated rectifier;

[0089] V A ={T act_i The dataset of actual DC bus voltage values ​​corresponds to the number of groups i = 1…N.

[0090] ΔV a =(V s -V A ) / V s Deviation dataset.

[0091] Based on the ripple evaluation algorithms (4) to (9), relevant quality indicators are defined, and the defined DC bus voltage ΔV is established according to the driver expert knowledge base. dc Relative volatility index K Q4 Evaluate.

[0092] CU load factor K Q5 This reflects the load rate index of the inverter CU, and its calculation formula can be found in formula (13):

[0093]

[0094] Among them, LC A ={LC A_i , i = 1…N}: During standard working time T N CU load collected within the timeframe, in %; LC S_U Load factor limit; LC S_N Standard load rate; standard working time T can be calculated according to formula (8). N Average load factor within LRC is the CU load factor, in percentages.

[0095] Inverter DC bus voltage absolute fluctuation index K Q6 An indicator that reflects the actual fluctuation of the DC bus voltage of the frequency converter.

[0096] Original data: Vs ={V set_i The dataset for setting DC bus voltage is i = 1…N.

[0097] in:

[0098] The DC bus voltage setting depends on the type of drive system: inverter, unregulated rectifier, and regulated rectifier;

[0099] VA = {V act_i The dataset of actual DC bus voltage values ​​corresponds to the number of groups i = 1…N.

[0100] ΔV a =V s -V A Deviation dataset

[0101] Based on the ripple evaluation algorithms (4) to (9), relevant quality indicators are defined, and the defined DC bus voltage ΔV is established according to the driver expert knowledge base. dc Absolute Volatility Indicator K Q6 Evaluate.

[0102] The absolute fluctuation index K of the DC bus voltage drop of the frequency converter Q7 This reflects the actual voltage drop fluctuation of the inverter's DC bus, which can be obtained using formula (14):

[0103]

[0104] Wherein: Original data V s ={V set_i , i = 1…N} is the DC bus voltage setting dataset collected during the standard working time;

[0105] The DC bus voltage setting depends on the type of drive system: inverter, unregulated rectifier, and regulated rectifier;

[0106] V A ={V act_i , i=1…N} is the dataset of actual DC bus voltage values ​​collected during the standard working time.

[0107] DC bus voltage sag definition: when V act_i <V set_i At this time, the DC bus voltage drops.

[0108] Based on the definition, the DC bus voltage sag dataset is taken:

[0109] ΔV a_d ={ΔV act_drop_i , i = 1…M} ∈ (V S -VA ).

[0110] V d_U DC bus voltage sag limit;

[0111] V d_N DC bus voltage sag reference value.

[0112] The standard working time T can be calculated according to formula (8). N Average DC bus voltage drop VD, where VD is the absolute fluctuation of the DC bus voltage drop, %.

[0113] The absolute fluctuation index K of the DC bus voltage rise of the frequency converter Q8 It can be obtained according to formula (15):

[0114]

[0115] Wherein, the original data: V S ={V set_i , i = 1…N} is the DC bus voltage setting dataset collected during the standard working time; The DC bus voltage setting depends on the type of drive system: inverter, unregulated rectifier, and regulated rectifier;

[0116] V A ={V act_t , i = 1…N} is the dataset of actual DC bus voltage values ​​collected during the standard working time;

[0117] DC bus voltage rise definition: when V act_i >V set_i At this time, the DC bus voltage rises.

[0118] Based on the definition, take the DC bus voltage rise dataset:

[0119] ΔV a_r ={ΔV act_rise_i , i = 1…Z}∈(V S -V A ).

[0120] The standard working time T can be calculated according to formula (8). N Average rise of DC bus voltage within .

[0121] V r_U : Upper limit of DC bus voltage rise; V r_N : The reference value for the rise of DC bus voltage; VR is the absolute fluctuation of the rise of DC bus voltage.

[0122] Inverter ambient temperature index K Q9 This reflects the ambient temperature of the inverter's operating environment. Raw data: T E ={T E_i , i = 1…N} is the dataset of ambient temperatures during the operation of the frequency converter collected within the standard working time; the standard working time T can be calculated according to formula (8). N Average ambient temperature during inverter operation .

[0123] The relevant quality indicators are defined, and the defined inverter ambient temperature index K is established based on the drive expert knowledge base. Q9 Evaluate.

[0124] Motor load rate index K Q10 This indicator reflects the motor load condition and can be obtained using formula (16):

[0125]

[0126] Among them, ML A ={ML A_i , i = 1…N}: During standard working time T N Motor load data collected within the system, in percentage (%);

[0127] ML S_U Maximum load factor;

[0128] ML S_N Standard load factor;

[0129] The standard working time T can be calculated according to formula (8). N Average load factor within

[0130] MLR is the motor load rate, in percentage.

[0131] Motor temperature index K Q1 This is an indicator reflecting the motor temperature, which can be obtained according to formula (17):

[0132]

[0133] Among them, T Motor ={T Motor , i = 1…N}: During standard working time T N The collected motor temperature, in °C;

[0134] T Motor_LIM : Upper limit of motor temperature monitoring;

[0135] T Motor_N Temperature reference point during motor operation;

[0136] The standard working time T can be calculated according to formula (8). N Average motor temperature

[0137] TM stands for motor temperature indicator.

[0138] After obtaining the above 11 sub-indicators, the system quality index K can be determined based on the weight ratio coefficient of each sub-indicator. Q_o The weighting coefficients can be obtained from data analysis in the expert knowledge base or from experts' experience.

[0139] Step 102: Combine availability indicators, system performance indicators, and system quality indicators to conduct statistical analysis and determine the comprehensive performance indicators of the frequency converter.

[0140] In an exemplary embodiment of this application, after determining the availability index K... A_o System performance index K P_o and system quality index K Q_o Afterwards, statistical analysis can be performed on these three indicators. Specifically, a weighted average can be calculated using a linear proportion coefficient relationship.

[0141] K APQ =w·K APQ (18)

[0142] Where: w = [w1 w2 w3]: is the weighting coefficient, K APQ =[K A_O K P_O K Q_O ] T

[0143] The weighting coefficients satisfy the following relationship:

[0144] {w1+w2+w3=1 (19)

[0145] The specific weighting coefficient can be obtained from big data analysis in the expert knowledge base or from the experience value summarized by the experts based on their experience. It can reflect the actual operation of the equipment. The exemplary implementation of this application does not make specific limitations on this.

[0146] Step 103: When the comprehensive performance indicators meet the first health state conditions, the inverter's status is managed as a health state.

[0147] In the exemplary embodiment of this application, after obtaining the comprehensive performance index K... APQ Then, the health status of the frequency converter can be assessed based on the first health status conditions, and health status management can be implemented according to the assessment results.

[0148] In practical applications, the first health state condition can be determined based on the actual performance of the frequency converter. In the exemplary embodiment of this application, the first health state condition can be a threshold range (0.75, 1), where 0.75 ≤ K. APQ When the value is less than 1, the inverter is considered to be in a healthy state and can be managed according to the healthy state.

[0149] In practical applications, the threshold range can be further refined, as shown in Table 1 below:

[0150] Table 1

[0151]

[0152] As can be seen from Table 1, the threshold range (0.75, 1) corresponding to the first health state condition can be further refined into three intervals, when 0.9 ≤ K APQ When 0.8 < K, it indicates that the inverter's overall health is excellent, it is in a good state, and it can operate continuously; when 0.8 ≤ K APQ When K < 0.9, it indicates that the inverter's overall health is excellent, it is in good condition, and it can operate continuously; when 0.75 ≤ K APQ When the value is less than 0.8, it indicates that the overall health of the frequency converter is normal and it can be in normal operating condition.

[0153] Step 104: When the comprehensive performance indicators do not meet the first health state conditions, determine the state of the frequency converter based on availability indicators, system performance indicators, or system quality indicators, and perform state management on the frequency converter.

[0154] Further analysis of Table 1 shows that when the comprehensive performance index K... APQ It does not meet the first health state condition, that is, it is outside the threshold range (0.75, 1), i.e., K. APQ When the value is less than 0.75, the health of the frequency converter will deteriorate. At this time, it is necessary to identify the indicators that cause the frequency converter to deteriorate in order to perform status management of the frequency converter. Status management includes whether maintenance is required, which indicators to focus on for maintenance, and when to perform maintenance.

[0155] Therefore, in the exemplary embodiments of this application, it is necessary to determine the availability index K separately. A_o System performance index K P_o and system quality index K Q_o Do all indicators meet the conditions for the second health state? It should be noted that the conditions for the second health state may differ for different indicators. If not, i.e., availability indicator K... A_o System performance index K P_o Or system quality index KQ_o If the conditions for a second health state are not met, the availability index K needs to be determined. A_o System performance index K P_o Or system quality index K Q_o The system identifies fault indicators and performs status management on the frequency converter based on these indicators.

[0156] For availability metric K A_o Specifically, the threshold range for its second health state condition is (0.2, 1), as shown in Table 2:

[0157] Table 2

[0158]

[0159] As can be seen from Table 2, the availability index K A_o A value between 0.2 and 1 indicates that the frequency converter is in a usable state, and the overall performance index K... APQ Not meeting the first health state condition is not subject to availability index K. A_o Impact. However, when the availability metric K... A_o A value between 0 and 0.2 indicates that the inverter's availability is very low, the system is unstable, and the inverter needs repair, or the system performance index K needs to be adjusted. P_o and system quality index K Q_o An assessment is conducted to determine whether these two metrics are in a healthy state. At this point, the availability metric K... A_o These are fault indicators.

[0160] For system performance index K P_o Specifically, the threshold range for its second health state condition is (0.85, 1), as shown in Table 3:

[0161] Table 3

[0162]

[0163]

[0164] As can be seen from Table 3, the system performance index K P_o A value between 0.85 and 1 indicates that the inverter's system configuration is reasonable, the system installation conforms to specifications, the system performance is good, the system components are in good condition, and the load operating temperature meets design requirements. In other words, the comprehensive performance index K... APQ Does not meet the first health state condition and system performance index K P_o It's irrelevant; you can evaluate the system quality indicator K. Q_o .

[0165] However, when the system performance index K P_oA value less than 0.85 indicates potential issues such as improper system installation, problems with system components, or unstable load operation. The system performance metric K needs to be adjusted. P_o The evaluation is carried out on each of the sub-performance indicators in the system, that is, from determining the system performance indicator K. P_o The four sub-indicators are: K, the relative fluctuation index of actual speed value. P1 Torque relative fluctuation index K P2 The absolute fluctuation index K of actual speed P3 and torque absolute waveform index K P4 Each component is evaluated separately to determine the failure indicators; that is, the failure indicators can constitute the system performance index K. P_o Sub-indices.

[0166] The following uses the relative fluctuation index K of the actual speed value. P1 For example, the evaluation process will be explained, as shown in Table 4:

[0167] Table 4

[0168]

[0169]

[0170] Where, σ rn This is an indicator of relative speed fluctuation.

[0171] As can be seen from Table 4, when the actual speed value is relative to the fluctuation index K P1 When the values ​​are in the optimal, good, or acceptable range, it indicates that the actual speed value is relatively fluctuating relative to the index K. P1 This is not a fault indicator; the relative torque fluctuation indicator K needs to be considered. P2 The absolute fluctuation index K of actual speed P3 and torque absolute waveform index K P4 These three indicators are evaluated to determine the fault indicators.

[0172] However, when the actual speed value is relative to the fluctuation index K P1 When the condition is unfavorable or poor, it indicates that the actual speed value is relatively fluctuating relative to the index K. P1 These are fault indicators, requiring appropriate status management of the frequency converter, such as scheduling maintenance for power circuit components.

[0173] In practical applications, when the system performance index K P_o When it is less than 0.85, or in other words, when the system performance index K P_o If the conditions for the second health state are not met, the relative fluctuation index K of the actual speed value can be checked sequentially. P1 Torque relative fluctuation index K P2The absolute fluctuation index K of actual speed P3 and torque absolute waveform index K P4 These four sub-indicators are used for health assessment to avoid overlooking indicators that may lead to malfunctions, thereby improving the accuracy of health monitoring. Here, the torque relative fluctuation index K is used. P2 The absolute fluctuation index K of actual speed P3 and torque absolute waveform index K P4 The evaluation process for these three sub-indicators will not be detailed here; refer to the relative fluctuation index K of the actual speed value. P1 That's all.

[0174] In the exemplary embodiments of this application, for the system quality index K Q_o Specifically, the threshold range for its second health state condition is (0.85, 1), as shown in Table 5:

[0175] Table 5

[0176]

[0177] As can be seen from Table 5, the system quality index K Q_o A value between 0.85 and 1 indicates that the inverter's system configuration is reasonable, the system installation conforms to specifications, the system operates well, the system components are in good condition, and the load operation is stable and meets design requirements. In other words, the comprehensive performance index K... APQ Does not meet the first health state condition and system quality index K Q_o It's irrelevant; you can evaluate other indicators.

[0178] However, when the system quality index K Q_o A value less than 0.85 indicates potential issues such as improper system installation, poor system performance, problems with system components, or unstable load operation. In such cases, the system quality indicator K needs to be adjusted. Q_o The evaluation is carried out on each of the sub-performance indicators, which is to determine the system quality indicator K. Q_o The inverter is evaluated using 11 sub-indicators to determine the fault indicators. Then, condition management is performed on the inverter based on these fault indicators.

[0179] The following uses the inverter failure rate index K as an example. Q1 For example, the evaluation process will be explained, as shown in Table 6:

[0180] Table 6

[0181]

[0182] As can be seen from Table 6, when the inverter failure rate index K... Q1 When the inverter is in a good, satisfactory, or acceptable state, it indicates that the inverter failure rate index K is...Q1 If it is not a fault indicator, we can continue to evaluate the other 10 sub-indicators to determine the fault indicator.

[0183] However, when the inverter failure rate index K Q1 When the inverter is in a poor or bad state, it indicates that the inverter failure rate index K is in a bad or bad state. Q1 These are fault indicators, requiring appropriate status management of the frequency converter. For example, if a component is in an abnormal state, the device needs to be shut down for maintenance.

[0184] In practical applications, when the system quality index K Q_o When it is less than 0.85, or in other words, when the system quality index K Q_o If the conditions for the second health state are not met, the above-mentioned system quality indicators K can be sequentially applied. Q_o Health assessments are performed on 11 sub-indicators to avoid overlooking potential malfunctions and improve the accuracy of health monitoring. The assessment process for the remaining 10 sub-indicators is not detailed here; refer to the inverter failure rate indicator K. Q1 That's all.

[0185] The inverter status management method provided in the exemplary embodiments of this application first determines the comprehensive performance indicators of the inverter and evaluates the health status of the inverter based on the comprehensive performance indicators to facilitate status management of the inverter. When the comprehensive performance indicators do not meet the first health status condition, the availability indicators, system performance indicators, and system quality indicators of the determined comprehensive performance indicators are evaluated for health status. When the availability indicators, system performance indicators, or system quality indicators do not meet the second health status condition, the sub-indicators of the determined three indicators are evaluated for health status, thereby identifying the fault indicators that do not meet the health status conditions. Based on the fault indicators, the inverter is then managed for status, which can estimate the precise fault location, providing a basis for inverter status management and improving the accuracy and efficiency of inverter status management.

[0186] Inverter status management device

[0187] Corresponding to the above method embodiments, Figure 3 A schematic diagram of a frequency converter status management device according to an embodiment of this application is shown. Figure 3 As shown, the inverter status management device 300 includes:

[0188] The operating parameter acquisition module 301 is used to acquire multiple parameters of the frequency converter during operation;

[0189] The indicator determination module 302 is used to determine the availability indicator, system performance indicator and system quality indicator of the frequency converter based on multiple acquired parameters. The availability indicator indicates the operating status of the frequency converter, the system performance indicator indicates the control performance of the frequency converter, and the system quality indicator indicates the operating stability of the frequency converter.

[0190] The comprehensive index determination module 303 is used to perform statistical analysis by combining the availability index, the system performance index, and the system quality index to determine the comprehensive performance index of the frequency converter;

[0191] The status management module 304 is used to manage the status of the frequency converter as a healthy state when the comprehensive performance index meets the first health state condition; and to determine the status of the frequency converter based on the availability index, the system performance index, or the system quality index when the comprehensive performance index does not meet the first health state condition, and to perform status management on the frequency converter.

[0192] In this embodiment, the operating parameter acquisition module 301 can directly acquire multiple parameters of the inverter during its operation. The index determination module 302 can be used to execute step 101 in the aforementioned method embodiment. The comprehensive index determination module 303 can be used to execute step 102 in the aforementioned method embodiment. The status management module 304 can be used to execute steps 103 and 104 in the aforementioned method embodiment.

[0193] It should be noted that the information interaction and execution process between the various units in the aforementioned inverter status management device are based on the same concept as the aforementioned inverter status management method embodiment. For details, please refer to the description in the aforementioned inverter status management method embodiment, and it will not be repeated here.

[0194] electronic devices

[0195] Figure 4 This is a schematic diagram of an electronic device provided in Embodiment 3 of this application. The specific embodiments of this application do not limit the specific implementation of the electronic device. See also... Figure 4 The electronic device 400 provided in this application embodiment includes: a processor 402, a communications interface 404, a memory 406, and a bus 408. Wherein:

[0196] The processor 402, communication interface 404, and memory 406 communicate with each other via bus 408.

[0197] Communication interface 404 is used to communicate with other electronic devices or servers.

[0198] The processor 402 is used to execute program 410, which can specifically execute the relevant steps in the above-described inverter status management method embodiment.

[0199] Specifically, program 410 may include program code that includes computer operation instructions.

[0200] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application. The smart device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0201] Memory 406 is used to store program 410. Memory 406 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0202] Specifically, program 410 can be used to cause processor 402 to execute the inverter state management method in any of the foregoing embodiments.

[0203] The specific implementation of each step in program 410 can be found in the corresponding steps and units described in the above-described inverter state management method embodiments, and will not be repeated here. Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the devices and modules described above can be referred to the corresponding process descriptions in the aforementioned method embodiments, and will not be repeated here.

[0204] The electronic device in this embodiment determines the comprehensive performance indicators of the frequency converter and evaluates its health status based on these indicators to facilitate state management. When the comprehensive performance indicators do not meet the first health status condition, a health status assessment is performed on the availability indicators, system performance indicators, and system quality indicators that determine the comprehensive performance indicators. When the availability indicators, system performance indicators, or system quality indicators do not meet the second health status condition, a health status assessment is performed on the sub-indicators of these three indicators to identify the fault indicators that do not meet the health status conditions. Based on these fault indicators, state management of the frequency converter can be performed, allowing for precise estimation of the fault location. This provides a basis for the state management of the frequency converter and improves the accuracy and efficiency of its state management.

[0205] Computer-readable storage media

[0206] This application also provides a computer-readable storage medium storing instructions for causing a machine to perform the inverter state management method as described herein. Specifically, a system or apparatus equipped with a storage medium storing software program code that implements the functions of any of the embodiments described above, and enabling the computer (or CPU or MPU) of the system or apparatus to read and execute the program code stored in the storage medium.

[0207] In this case, the program code read from the storage medium can itself implement the function of any of the above embodiments, and therefore the program code and the storage medium storing the program code constitute part of this application.

[0208] Examples of storage media used to provide program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer via a communication network.

[0209] Furthermore, it should be clear that not only can the program code read by the computer be executed, but also the operating system or other components operating on the computer can be instructed based on the program code to perform some or all of the actual operations, thereby realizing the function of any of the embodiments described above.

[0210] Furthermore, it is understood that the program code read from the storage medium is written to the memory set in the expansion board inserted into the computer or to the memory set in the expansion module connected to the computer. Then, based on the instructions of the program code, the CPU or other components installed on the expansion board or expansion module execute some and all of the actual operations, thereby realizing the function of any of the above embodiments.

[0211] Computer program products

[0212] This application also provides a computer program product, which is tangibly stored on a computer-readable medium and includes computer-executable instructions. When executed, these computer-executable instructions cause at least one processor to perform the inverter state management methods provided in the above embodiments. It should be understood that the solutions in this embodiment have the corresponding technical effects in the above method embodiments, which will not be repeated here.

[0213] It should be noted that not all steps and modules in the above process and device structure diagrams are mandatory; some steps or modules can be omitted as needed. The execution order of each step is not fixed and can be adjusted as required. The system structure described in the above embodiments can be a physical structure or a logical structure. That is, some modules may be implemented by the same physical entity, or some modules may be implemented by multiple physical entities, or they may be jointly implemented by certain components in multiple independent devices.

[0214] In this patent application, nouns and pronouns relating to people are not limited to specific genders.

[0215] In the above embodiments, the hardware modules can be implemented mechanically or electrically. For example, a hardware module may include permanent dedicated circuitry or logic (such as a dedicated processor, FPGA, or ASIC) to perform the corresponding operations. The hardware module may also include programmable logic or circuitry (such as a general-purpose processor or other programmable processor), which can be temporarily configured by software to perform the corresponding operations. The specific implementation method (mechanical, dedicated permanent circuitry, or temporarily configured circuitry) can be determined based on cost and time considerations.

[0216] The present application has been shown and described in detail above with reference to the accompanying drawings and preferred embodiments. However, the present application is not limited to these disclosed embodiments. Based on the above multiple embodiments, those skilled in the art will know that more embodiments of the present application can be obtained by combining the code review methods in the different embodiments above. These embodiments are also within the protection scope of the present application.

Claims

1. A frequency converter status management method (100), comprising: The availability index, system performance index, and system quality index of the frequency converter are determined. The availability index indicates the operating status of the frequency converter, the system performance index indicates the control performance of the frequency converter, and the system quality index indicates the operating stability of the frequency converter. By combining the availability index, the system performance index, and the system quality index, a statistical analysis is performed to determine the comprehensive performance index of the frequency converter; When the comprehensive performance index meets the first health state condition, the state of the frequency converter is managed as a health state. When the comprehensive performance index does not meet the first health state condition, the state of the frequency converter is determined based on the availability index, the system performance index, or the system quality index, and the frequency converter is managed in a state-based manner. The process of determining the inverter's status based on the availability index, the system performance index, or the system quality index, and performing status management on the inverter, includes: Determine whether the availability index, the system performance index, and the system quality index all meet the second health state conditions; If not, identify the fault indicator among the availability indicators, system performance indicators, or system quality indicators; The inverter is subject to status management based on the aforementioned fault indicators; The fault indicators include the availability indicators, sub-indicators of the system performance indicators, or sub-indicators of the system quality indicators; The method of combining the availability index, the system performance index, and the system quality index to perform statistical analysis to determine the comprehensive performance index of the frequency converter includes: The comprehensive performance index is determined based on the weighting coefficients of the availability index, the system performance index, and the system quality index.

2. The method of claim 1, wherein, The sub-indicators of the system performance index include: relative fluctuation index of actual speed value, relative fluctuation index of torque, absolute fluctuation index of actual speed value, and absolute waveform index of torque.

3. The method according to claim 2, wherein, The relative fluctuation index of the actual speed value and the relative fluctuation index of the torque are obtained according to the relative ripple performance judgment algorithm, and the absolute fluctuation index of the actual speed value and the absolute waveform index of the torque are obtained according to the absolute ripple performance judgment algorithm.

4. The method according to claim 1, wherein, The system quality indicators of the frequency converter are obtained, including: At least a portion of the following indicators are obtained as sub-indicators: inverter failure rate, inverter load rate, inverter temperature, inverter DC bus voltage relative fluctuation, CU load rate, inverter DC bus voltage absolute fluctuation, inverter DC bus voltage drop absolute fluctuation, inverter DC bus voltage rise absolute fluctuation, inverter ambient temperature, motor load rate, and motor temperature. The system quality index is determined based on the weighting coefficient of each sub-index.

5. The method according to claim 1, wherein, The availability metric is the ratio of the inverter's operating time to the standard operating time.

6. A frequency converter status management device (300), connected to at least one frequency converter, comprising: The operating parameter acquisition module (301) is used to acquire multiple parameters of the frequency converter during operation; The indicator determination module (302) is used to determine the availability indicator, system performance indicator and system quality indicator of the frequency converter based on multiple acquired parameters. The availability indicator indicates the operating status of the frequency converter, the system performance indicator indicates the control performance of the frequency converter, and the system quality indicator indicates the operating stability of the frequency converter. The comprehensive performance indicator determination module (303) is used to perform statistical analysis by combining the availability indicator, the system performance indicator and the system quality indicator to determine the comprehensive performance indicator of the frequency converter; and to determine the comprehensive performance indicator according to the weight ratio coefficient of the availability indicator, the system performance indicator and the system quality indicator. The status management module (304) is used to manage the status of the frequency converter as a healthy state when the comprehensive performance index meets the first health state condition; and to determine the status of the frequency converter based on the availability index, the system performance index or the system quality index when the comprehensive performance index does not meet the first health state condition, and to perform status management on the frequency converter. The status management module (304) is also used to determine whether the availability index, the system performance index, and the system quality index all meet the second health state conditions; if not, determine the fault index among the availability index, the system performance index, or the system quality index; and perform status management on the frequency converter according to the fault index. The fault indicators include the availability indicators, sub-indicators of the system performance indicators, or sub-indicators of the system quality indicators.

7. An electronic device (400), comprising: The processor (402), communication interface (404), memory (406), and bus (408) communicate with each other through the bus (408). The memory (406) is used to store at least one executable instruction that causes the processor (402) to perform an operation corresponding to any of the methods described in claims 1-5.

8. A computer-readable storage medium storing computer instructions that, when executed by a processor, cause the processor to perform the method of any one of claims 1-5.

9. A computer program product tangibly stored on a computer-readable medium and comprising computer-executable instructions that, when executed, cause at least one processor to perform the method according to any one of claims 1-5.

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