Operation control method and system for 3MW gearbox

Abstract

The invention relates to the technical field of 3MW gear boxes, in particular to an operation control method and system of a 3MW gear box. Comprising the steps that a plurality of monitoring points are generated according to 3MW gearbox equipment parameters, and the monitoring points comprise first-level monitoring points and second-level monitoring points; acquiring monitoring data packets of each primary monitoring point according to a preset monitoring time node, and generating control parameters according to all the monitoring data packets; obtaining feedback data packets of each primary monitoring point and each secondary monitoring point according to the control parameters, and judging whether a maintenance instruction is generated or not according to all the feedback data packets; the temperature of the bearings in the 3MW gearbox is periodically monitored by establishing a plurality of primary monitoring points, and the oil injection control parameters of the oil injection nozzle at the high-speed end downwind bearing and the high-speed end upwind bearing are dynamically adjusted according to temperature data collected in real time, so that the high-temperature fault caused by insufficient lubricating liquid is avoided; the maintenance efficiency of the 3MW gearbox is improved, the oil leakage risk is reduced, and stable operation of the 3MW gearbox is guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of 3MW gearboxes, and in particular to an operation control method and system for a 3MW gearbox. Background Art

[0002] With the development of economy and the need of national environmental protection, the demand for new energy is increasing. Among them, wind energy, as an emerging energy, has accounted for an increasing proportion of national energy demand in recent years. The requirements for wind turbines are also getting higher and higher, and the power is getting higher and higher, which will put higher and higher requirements on wind turbine gearboxes, the core components of wind turbines.

[0003] At present, 3MW gearboxes often have problems during operation: 1) high temperature of the upwind bearing at the high-speed end; 2) high temperature of the downwind bearing at the high-speed end; 3) oil leakage at the labyrinth seal at the low-speed end; 4) oil leakage at the labyrinth seal at the high-speed end, which affect the stable operation of the system. Summary of the invention

[0004] The purpose of this application is: to solve the above technical problems, this application provides an operation control method and system for a 3MW gearbox, aiming to reduce the failure probability of the 3MW gearbox and improve the operating efficiency of the 3MW gearbox.

[0005] In some embodiments of the present application, the bearing temperature in the 3MW gearbox is periodically monitored by establishing multiple first-level monitoring points, and the injection control parameters of the injector at the downwind bearing at the high-speed end and the upwind bearing at the high-speed end are dynamically adjusted according to the real-time collected temperature data to avoid high temperature failures caused by insufficient lubricating fluid and improve the operating efficiency of the 3MW gearbox.

[0006] In some embodiments of the present application, multiple secondary monitoring points are established based on historical parameters to monitor the oil leakage of the 3MW gearbox. At the same time, by collecting temperature data from each primary monitoring point, a comprehensive judgment is made on whether there is oil leakage in the 3MW gearbox, thereby improving the maintenance efficiency of the 3MW gearbox, reducing the risk of oil leakage, and ensuring the stable operation of the 3MW gearbox.

[0007] In some embodiments of the present application, a 3MW gearbox operation control method is provided, comprising:

[0008] Generate multiple monitoring points according to the 3MW gearbox equipment parameters, wherein the monitoring points include primary monitoring points and secondary monitoring points;

[0009] Acquire monitoring data packets of each first-level monitoring point according to the preset monitoring time node, and generate control parameters according to all monitoring data packets;

[0010] Obtain feedback data packets from each primary monitoring point and secondary monitoring point according to control parameters, and determine whether to generate maintenance instructions based on all feedback data packets;

[0011] Among them, when multiple monitoring points are generated, they include:

[0012] Establish a first-level monitoring point array A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level monitoring point; n1 is the number of first-level monitoring points;

[0013] Establish a secondary monitoring point array A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary monitoring point; n2 is the number of secondary monitoring points.

[0014] In some embodiments of the present application, when obtaining monitoring data packets of each first-level monitoring point according to a preset monitoring time node, it includes:

[0015] According to the first-level monitoring point sequence A1, the i-th first-level monitoring point is selected as the target first-level monitoring point;

[0016] Set the monitoring parameters of the target first-level monitoring point at the current monitoring time node;

[0017] Generate a temperature value sequence B of the target first-level monitoring point according to the monitoring parameters, B = (b1, b2...bi...bm), where bi is the i-th temperature value collected by the i-th target first-level monitoring point at the current monitoring time node; m is the number of data collection times of the target first-level monitoring point at the current monitoring time node;

[0018] Generate a monitoring data packet of the target first-level monitoring point at the current monitoring time node according to the temperature value sequence B;

[0019] Generate monitoring data packets for each first-level monitoring point at the current monitoring time node in sequence.

[0020] In some embodiments of the present application, when the control parameters are generated according to all monitoring data packets, it includes:

[0021] Generate monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node in sequence according to all monitoring data packets;

[0022] Establish the monitoring evaluation value sequence C of the current time node, C = (c1, c2…c i …c n1 ), where ci is the monitoring evaluation value of the i-th first-level monitoring point at the current monitoring time node;

[0023] Generate the risk assessment value f of the current monitoring time node according to the monitoring assessment value sequence C;

[0024]

[0025] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the monitoring evaluation value series C; c' is the preset first monitoring evaluation value threshold; Y(i) is the selection coefficient, if c i -c'<0, then Y(i)=0; if c i -c'≥0, then Y(i)=1 / (c i -c');

[0026] Generate the control parameters of the current monitoring time node according to the risk assessment value f.

[0027] In some embodiments of the present application, when the monitoring evaluation value of each first-level monitoring point at the current monitoring time node is generated in sequence, it includes:

[0028] Obtain the monitoring data packet of the target first-level monitoring point at the current monitoring time node;

[0029] Generate the monitoring evaluation value c of the target first-level monitoring point at the current monitoring time node;

[0030]

[0031] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; Δb is the average value of all data of temperature value series B; U is the historical reference value set based on the historical monitoring data packet of the target first-level monitoring point;

[0032] Generate the monitoring evaluation value of each first-level monitoring point in turn.

[0033] In some embodiments of the present application, when the control parameters of the current monitoring time node are generated according to the risk assessment value f, it includes:

[0034] A first risk assessment value threshold F1 and a second risk assessment value threshold F2 are preset, and F1<F2;

[0035] If f<F1, no control instruction is generated at the current monitoring time node;

[0036] If F1≤f<F2, the current monitoring time node generates a first-level control instruction;

[0037] If f≥F2, the current monitoring time node generates a secondary control instruction, and sets a feedback time node according to the secondary control instruction, and collects feedback data packets from each primary monitoring point and secondary monitoring point according to the feedback time node.

[0038] In some embodiments of the present application, when determining whether to generate a maintenance instruction based on all feedback data packets, the process includes:

[0039] Extract characteristic parameters from feedback data packets of each secondary monitoring point;

[0040] Extract temperature monitoring parameters from feedback data packets of each first-level monitoring point;

[0041] Generate a fault evaluation value g based on all characteristic parameters and all temperature monitoring parameters;

[0042]

[0043] Among them, e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; di is the monitoring reference value of the i-th secondary monitoring point; hi is the temperature change reference value generated based on the temperature monitoring parameter of the i-th primary monitoring point;

[0044] Preset a first fault evaluation value threshold G1;

[0045] If g>G1, a first-level maintenance instruction is generated.

[0046] In some embodiments of the present application, a 3MW gearbox operation control system is provided, comprising:

[0047] The central control unit is used to generate multiple monitoring points according to the 3MW gearbox equipment parameters, wherein the monitoring points include primary monitoring points and secondary monitoring points;

[0048] A monitoring unit, comprising a plurality of monitoring modules, wherein the monitoring modules are arranged at each monitoring point;

[0049] The central control unit comprises:

[0050] The first processing module is used to establish a first-level monitoring point sequence A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level monitoring point; n1 is the number of first-level monitoring points;

[0051] The first processing module is also used to establish a secondary monitoring point sequence A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary monitoring point; n2 is the number of secondary monitoring points;

[0052] The second processing module is used to obtain the monitoring data packets of each first-level monitoring point according to the preset monitoring time node;

[0053] A third processing module, used for generating control parameters according to all monitoring data packets;

[0054] The first maintenance module is used to obtain feedback data packets from each primary monitoring point and secondary monitoring point according to control parameters, and determine whether to generate a maintenance instruction based on all feedback data packets.

[0055] In some embodiments of the present application, the second processing module is further used to:

[0056] According to the first-level monitoring point sequence A1, the i-th first-level monitoring point is selected as the target first-level monitoring point;

[0057] Set the monitoring parameters of the target first-level monitoring point at the current monitoring time node;

[0058] Generate a temperature value sequence B of the target first-level monitoring point according to the monitoring parameters, B = (b1, b2...bi...bm), where bi is the i-th temperature value collected by the i-th target first-level monitoring point at the current monitoring time node; m is the number of data collection times of the target first-level monitoring point at the current monitoring time node;

[0059] Generate a monitoring data packet of the target first-level monitoring point at the current monitoring time node according to the temperature value sequence B;

[0060] Generate monitoring data packets for each first-level monitoring point at the current monitoring time node in sequence.

[0061] In some embodiments of the present application, the third processing module is further used to:

[0062] Generate monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node in sequence according to all monitoring data packets;

[0063] Establish the monitoring evaluation value sequence C of the current time node, C = (c1, c2…c i …c n1 ), where c i is the monitoring evaluation value of the i-th first-level monitoring point at the current monitoring time node;

[0064] Generate the risk assessment value f of the current monitoring time node according to the monitoring assessment value sequence C;

[0065]

[0066] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the monitoring evaluation value series C; c' is the preset first monitoring evaluation value threshold; Y(i) is the selection coefficient, if c i -c'<0, then Y(i)=0; if c i -c'≥0, then Y(i)=1 / (c i -c');

[0067] Generate control parameters for the current monitoring time node according to the risk assessment value f;

[0068] When the monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node are generated in sequence, it includes:

[0069] Obtain the monitoring data packet of the target first-level monitoring point at the current monitoring time node;

[0070] Generate the monitoring evaluation value c of the target first-level monitoring point at the current monitoring time node;

[0071]

[0072] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; Δb is the average value of all data of temperature value series B; U is the historical reference value set based on the historical monitoring data packet of the target first-level monitoring point;

[0073] Generate the monitoring evaluation value of each first-level monitoring point in turn.

[0074] In some embodiments of the present application, the third processing module is further used to:

[0075] A first risk assessment value threshold F1 and a second risk assessment value threshold F2 are preset, and F1<F2;

[0076] If f<F1, no control instruction is generated at the current monitoring time node;

[0077] If F1≤f<F2, the current monitoring time node generates a first-level control instruction;

[0078] If f≥F2, the current monitoring time node generates a secondary control instruction, and sets a feedback time node according to the secondary control instruction, and collects feedback data packets from each primary monitoring point and secondary monitoring point according to the feedback time node.

[0079] Compared with the prior art, the operation control method and system of a 3MW gearbox in the embodiment of the present application has the following beneficial effects:

[0080] By establishing multiple first-level monitoring points to periodically monitor the bearing temperature in the 3MW gearbox, the injection control parameters of the injector at the downwind bearing and upwind bearing at the high-speed end are dynamically adjusted according to the real-time collected temperature data to avoid high temperature failures caused by insufficient lubricating fluid and improve the operating efficiency of the 3MW gearbox.

[0081] Based on historical parameters, multiple secondary monitoring points are established to monitor the oil leakage of the 3MW gearbox. At the same time, by collecting the temperature data of each primary monitoring point, a comprehensive judgment is made on whether there is oil leakage in the 3MW gearbox, thereby improving the maintenance efficiency of the 3MW gearbox, reducing the risk of oil leakage, and ensuring the stable operation of the 3MW gearbox. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a flow chart of an operation control method of a 3MW gearbox in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0083] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0084] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0085] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0086] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0087] like Figure 1 As shown, a 3MW gearbox operation control method of a preferred embodiment of the present application includes:

[0088] S101: Generate multiple monitoring points according to the equipment parameters of the 3MW gearbox, including primary monitoring points and secondary monitoring points;

[0089] S102: Acquire monitoring data packets of each first-level monitoring point according to a preset monitoring time node, and generate control parameters according to all monitoring data packets;

[0090] S103: Obtain feedback data packets of each primary monitoring point and secondary monitoring point according to the control parameters, and determine whether to generate a maintenance instruction according to all feedback data packets;

[0091] Among them, when multiple monitoring points are generated, they include:

[0092] Establish a first-level monitoring point array A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level monitoring point; n1 is the number of first-level monitoring points;

[0093] Establish a secondary monitoring point array A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary monitoring point; n2 is the number of secondary monitoring points.

[0094] Specifically, a drainage copper tube and a control module are added to the oil nozzle of the high-speed shaft to guide the lubricating oil to the upwind bearing at the high-speed end. At the same time, a control module is set at the oil nozzle, and the nozzle diameter is increased to solve the high temperature fault caused by insufficient lubrication of the downwind bearing at the high-speed end.

[0095] Specifically, the first-level monitoring points are set at the upwind bearing at the high-speed end and the downwind bearing at the high-speed end, and are provided with monitoring modules to monitor and collect the bearing temperature.

[0096] Specifically, the secondary monitoring points are set at various locations where oil leakage is likely to occur according to the equipment parameters of the 3MW gearbox, such as the low-speed end labyrinth seal and the high-speed end labyrinth seal. The monitoring modules set at the secondary monitoring points are used to collect oil leakage data, thereby performing real-time monitoring of the oil leakage status of the 3MW gearbox.

[0097] Specifically, when obtaining the monitoring data packets of each first-level monitoring point according to the preset monitoring time node, it includes:

[0098] According to the first-level monitoring point sequence A1, the i-th first-level monitoring point is selected as the target first-level monitoring point;

[0099] Set the monitoring parameters of the target first-level monitoring point at the current monitoring time node;

[0100] Generate a temperature value sequence B of the target first-level monitoring point according to the monitoring parameters, B = (b1, b2...bi...bm), where bi is the i-th temperature value collected by the i-th target first-level monitoring point at the current monitoring time node; m is the number of data collection times of the target first-level monitoring point at the current monitoring time node;

[0101] Generate a monitoring data packet of the target first-level monitoring point at the current monitoring time node according to the temperature value sequence B;

[0102] Generate monitoring data packets for each first-level monitoring point at the current monitoring time node in sequence.

[0103] Specifically, the monitoring parameter refers to the number of data collection times at a single monitoring time node, and the number of data collection times m can be dynamically set according to the operating evaluation value of the target first-level monitoring point at the previous monitoring time node.

[0104] It can be understood that in the above embodiment, by establishing multiple primary monitoring points, the bearing temperature in the 3MW gearbox is monitored in real time, and by adjusting the data acquisition frequency, the impact of environmental factors on the monitoring data is reduced, and the data acquisition accuracy is improved, so as to timely warn of abnormal high temperature state of the bearing, thereby avoiding the operation failure of the 3MW gearbox caused by high temperature of the bearing.

[0105] In a preferred embodiment of the present application, when the control parameters are generated according to all monitoring data packets, it includes:

[0106] Generate monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node in sequence according to all monitoring data packets;

[0107] Establish the monitoring evaluation value sequence C of the current time node, C = (c1, c2…c i …c n1 ), where c iis the monitoring evaluation value of the i-th first-level monitoring point at the current monitoring time node;

[0108] Generate the risk assessment value f of the current monitoring time node according to the monitoring assessment value sequence C;

[0109]

[0110] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the monitoring evaluation value series C; c' is the preset first monitoring evaluation value threshold; Y(i) is the selection coefficient, if c i -c'<0, then Y(i)=0; if c i -c'≥0, then Y(i)=1 / (c i -c');

[0111] Generate the control parameters of the current monitoring time node according to the risk assessment value f.

[0112] Specifically, by presetting the fourth fixed coefficient and the fifth fixed coefficient, the data in the model is normalized so that each evaluation index is within the same value range.

[0113] Specifically, the greater the risk assessment value, the greater the possibility that the lubrication state of the bearings in the current 3MW gearbox is abnormal, and the greater the possibility of operating failure due to high temperature operation.

[0114] Specifically, the monitoring evaluation value threshold can be set according to the historical operating parameters. If the monitoring evaluation value of the first-level monitoring point exceeds the threshold, it means that the bearing of the current monitoring point is in a high-temperature operating state and the possibility of failure is very high.

[0115] Specifically, the monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node are generated in sequence, including:

[0116] Obtain the monitoring data packet of the target first-level monitoring point at the current monitoring time node;

[0117] Generate the monitoring evaluation value c of the target first-level monitoring point at the current monitoring time node;

[0118]

[0119] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; Δb is the average value of all data of temperature value series B; U is the historical reference value set based on the historical monitoring data packet of the target first-level monitoring point;

[0120] Generate the monitoring evaluation value of each first-level monitoring point in turn.

[0121] Specifically, each evaluation index in the model is normalized by presetting the first fixed coefficient, the second fixed coefficient and the third fixed coefficient, so that each evaluation index is in the same value range.

[0122] Specifically, the historical reference value U can be set according to the monitoring parameters of each previous monitoring time node. The more the historical monitoring parameters deviate from the normal value, the larger the corresponding historical reference value U will be.

[0123] Specifically, the larger the monitoring evaluation value is, the greater the possibility that the bearings at the current first-level monitoring point are insufficiently lubricated.

[0124] Specifically, when the control parameters of the current monitoring time node are generated according to the risk assessment value f, it includes:

[0125] A first risk assessment value threshold F1 and a second risk assessment value threshold F2 are preset, and F1<F2;

[0126] If f<F1, no control instruction is generated at the current monitoring time node;

[0127] If F1≤f<F2, the current monitoring time node generates a first-level control instruction;

[0128] If f≥F2, the current monitoring time node generates a secondary control instruction, and sets a feedback time node according to the secondary control instruction, and collects feedback data packets from each primary monitoring point and secondary monitoring point according to the feedback time node.

[0129] Specifically, the first-level control instruction refers to correcting the current working parameters of the injector, thereby increasing the amount of lubricating oil at the bearing and avoiding high temperature failure of the bearing caused by insufficient lubrication.

[0130] Specifically, the secondary control instruction refers to collecting data from each secondary monitoring point on the basis of adjusting the amount of lubricating oil, determining the oil leakage status in the 3MW gearbox, and performing timely maintenance.

[0131] It can be understood that in the above embodiment, the bearing temperature in the 3MW gearbox is periodically monitored by establishing multiple first-level monitoring points, and the injection control parameters of the injector at the downwind bearing at the high-speed end and the upwind bearing at the high-speed end are dynamically adjusted according to the real-time collected temperature data to avoid high temperature failures caused by insufficient lubricating fluid and improve the operating efficiency of the 3MW gearbox.

[0132] In a preferred embodiment of the present application, when determining whether to generate a maintenance instruction based on all feedback data packets, it includes:

[0133] Extract characteristic parameters from feedback data packets of each secondary monitoring point;

[0134] Extract temperature monitoring parameters from feedback data packets of each first-level monitoring point;

[0135] Generate a fault evaluation value g based on all characteristic parameters and all temperature monitoring parameters;

[0136]

[0137] Among them, e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; di is the monitoring reference value of the i-th secondary monitoring point; hi is the temperature change reference value generated based on the temperature monitoring parameter of the i-th primary monitoring point;

[0138] Preset a first fault evaluation value threshold G1;

[0139] If g>G1, a first-level maintenance instruction is generated.

[0140] Specifically, by presetting the sixth fixed coefficient and the seventh fixed coefficient, the data in the model are normalized so that each evaluation index is within the same value range.

[0141] Specifically, the larger the monitoring reference value of the secondary monitoring point, the greater the possibility of oil leakage at the current secondary monitoring point; the larger the temperature change reference value of the primary monitoring point, the lower the degree of bearing temperature drop after adjusting the injector, and the greater the possibility of bearing failure.

[0142] It can be understood that in the above embodiment, multiple secondary monitoring points are established according to historical parameters to monitor the oil leakage of the 3MW gearbox. At the same time, by collecting the temperature data of each primary monitoring point, a comprehensive judgment is made on whether there is oil leakage in the 3MW gearbox, thereby improving the maintenance efficiency of the 3MW gearbox, reducing the risk of oil leakage, and ensuring the stable operation of the 3MW gearbox.

[0143] Based on another preferred embodiment of a 3MW gearbox operation control method in any of the above preferred embodiments, this preferred embodiment provides an operation control system for a 3MW gearbox, including:

[0144] The central control unit is used to generate multiple monitoring points according to the equipment parameters of the 3MW gearbox, including primary monitoring points and secondary monitoring points;

[0145] A monitoring unit, comprising a plurality of monitoring modules, wherein the monitoring modules are arranged at each monitoring point;

[0146] The central control unit includes:

[0147] The first processing module is used to establish a first-level monitoring point sequence A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level monitoring point; n1 is the number of first-level monitoring points;

[0148] The first processing module is also used to establish a secondary monitoring point sequence A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary monitoring point; n2 is the number of secondary monitoring points;

[0149] The second processing module is used to obtain the monitoring data packets of each first-level monitoring point according to the preset monitoring time node;

[0150] A third processing module, used for generating control parameters according to all monitoring data packets;

[0151] The first maintenance module is used to obtain feedback data packets from each primary monitoring point and secondary monitoring point according to control parameters, and determine whether to generate a maintenance instruction based on all feedback data packets.

[0152] Specifically, the second processing module is further used for:

[0153] According to the first-level monitoring point sequence A1, the i-th first-level monitoring point is selected as the target first-level monitoring point;

[0154] Set the monitoring parameters of the target first-level monitoring point at the current monitoring time node;

[0155] Generate a temperature value sequence B of the target first-level monitoring point according to the monitoring parameters, B = (b1, b2...bi...bm), where bi is the i-th temperature value collected by the i-th target first-level monitoring point at the current monitoring time node; m is the number of data collection times of the target first-level monitoring point at the current monitoring time node;

[0156] Generate a monitoring data packet of the target first-level monitoring point at the current monitoring time node according to the temperature value sequence B;

[0157] Generate monitoring data packets for each first-level monitoring point at the current monitoring time node in sequence.

[0158] In a preferred embodiment of the present application, the third processing module is also used for:

[0159] Generate monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node in sequence according to all monitoring data packets;

[0160] Establish the monitoring evaluation value sequence C of the current time node, C = (c1, c2…c i …c n1 ), where c i is the monitoring evaluation value of the i-th first-level monitoring point at the current monitoring time node;

[0161] Generate the risk assessment value f of the current monitoring time node according to the monitoring assessment value sequence C;

[0162]

[0163] Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the monitoring evaluation value series C; c' is the preset first monitoring evaluation value threshold; Y(i) is the selection coefficient, if c i -c'<0, then Y(i)=0; if c i -c'≥0, then Y(i)=1 / (c i -c');

[0164] Generate control parameters for the current monitoring time node according to the risk assessment value f;

[0165] When the monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node are generated in sequence, it includes:

[0166] Obtain the monitoring data packet of the target first-level monitoring point at the current monitoring time node;

[0167] Generate the monitoring evaluation value c of the target first-level monitoring point at the current monitoring time node;

[0168]

[0169] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; Δb is the average value of all data of temperature value series B; U is the historical reference value set based on the historical monitoring data packet of the target first-level monitoring point;

[0170] Generate the monitoring evaluation value of each first-level monitoring point in turn.

[0171] Specifically, the third processing module is also used for:

[0172] A first risk assessment value threshold F1 and a second risk assessment value threshold F2 are preset, and F1<F2;

[0173] If f<F1, no control instruction is generated at the current monitoring time node;

[0174] If F1≤f<F2, the current monitoring time node generates a first-level control instruction;

[0175] If f≥F2, the current monitoring time node generates a secondary control instruction, and sets a feedback time node according to the secondary control instruction, and collects feedback data packets from each primary monitoring point and secondary monitoring point according to the feedback time node.

[0176] According to the first concept of the present application, the bearing temperature in the 3MW gearbox is periodically monitored by establishing multiple first-level monitoring points, and the injection control parameters of the injector at the downwind bearing at the high-speed end and the upwind bearing at the high-speed end are dynamically adjusted according to the real-time collected temperature data to avoid high temperature failures caused by insufficient lubricating fluid and improve the operating efficiency of the 3MW gearbox.

[0177] According to the second concept of the present application, multiple secondary monitoring points are established based on historical parameters to monitor the oil leakage of the 3MW gearbox. At the same time, by collecting the temperature data of each primary monitoring point, a comprehensive judgment is made on whether there is oil leakage in the 3MW gearbox, thereby improving the maintenance efficiency of the 3MW gearbox, reducing the risk of oil leakage, and ensuring the stable operation of the 3MW gearbox.

[0178] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A 3MW gearbox operation control method, characterized in that: include: Generate multiple monitoring points according to the 3MW gearbox equipment parameters, wherein the monitoring points include primary monitoring points and secondary monitoring points; Acquire monitoring data packets of each first-level monitoring point according to the preset monitoring time node, and generate control parameters according to all monitoring data packets; Obtain feedback data packets from each primary monitoring point and secondary monitoring point according to control parameters, and determine whether to generate maintenance instructions based on all feedback data packets; Among them, when multiple monitoring points are generated, they include: Establish a first-level monitoring point array A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level monitoring point; n1 is the number of first-level monitoring points; Establish a secondary monitoring point array A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary monitoring point; n2 is the number of secondary monitoring points.

2. The operation control method of the 3MW gearbox according to claim 1, characterized in that: When obtaining the monitoring data packets of each first-level monitoring point according to the preset monitoring time node, it includes: According to the first-level monitoring point sequence A1, the i-th first-level monitoring point is selected as the target first-level monitoring point; Set the monitoring parameters of the target first-level monitoring point at the current monitoring time node; Generate a temperature value sequence B of the target first-level monitoring point according to the monitoring parameters, B = (b1, b2...bi...bm), where bi is the i-th temperature value collected by the i-th target first-level monitoring point at the current monitoring time node; m is the number of data collection times of the target first-level monitoring point at the current monitoring time node; Generate a monitoring data packet of the target first-level monitoring point at the current monitoring time node according to the temperature value sequence B; Generate monitoring data packets for each first-level monitoring point at the current monitoring time node in sequence.

3. The operation control method of a 3MW gearbox according to claim 2, characterized in that: When generating control parameters based on all monitored data packets, including: Generate monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node in sequence according to all monitoring data packets; Establish the monitoring evaluation value sequence C of the current time node, C = (c1, c2…c i …c n1 ), where c i is the monitoring evaluation value of the i-th first-level monitoring point at the current monitoring time node; Generate the risk assessment value f of the current monitoring time node according to the monitoring assessment value sequence C; Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the monitoring evaluation value series C; c' is the preset first monitoring evaluation value threshold; Y(i) is the selection coefficient, if c i -c'<0, then Y(i)=0; if c i -c'≥0, then Y(i)=1 / (c i -c'); Generate the control parameters of the current monitoring time node according to the risk assessment value f.

4. The operation control method of the 3MW gearbox according to claim 3, characterized in that: When the monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node are generated in sequence, it includes: Obtain the monitoring data packet of the target first-level monitoring point at the current monitoring time node; Generate the monitoring evaluation value c of the target first-level monitoring point at the current monitoring time node; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; Δb is the average value of all data of temperature value series B; U is the historical reference value set based on the historical monitoring data packet of the target first-level monitoring point; Generate the monitoring evaluation value of each first-level monitoring point in turn.

5. The operation control method of the 3MW gearbox according to claim 3, characterized in that: When generating the control parameters of the current monitoring time node according to the risk assessment value f, it includes: A first risk assessment value threshold F1 and a second risk assessment value threshold F2 are preset, and F1<F2; If f<F1, no control instruction is generated at the current monitoring time node; If F1≤f<F2, the current monitoring time node generates a first-level control instruction; If f≥F2, the current monitoring time node generates a secondary control instruction, and sets a feedback time node according to the secondary control instruction, and collects feedback data packets from each primary monitoring point and secondary monitoring point according to the feedback time node.

6. The operation control method of the 3MW gearbox according to claim 5, characterized in that: When judging whether to generate a maintenance instruction based on all feedback data packets, it includes: Extract characteristic parameters from feedback data packets of each secondary monitoring point; Extract temperature monitoring parameters from feedback data packets of each first-level monitoring point; Generate a fault evaluation value g based on all characteristic parameters and all temperature monitoring parameters; Among them, e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; di is the monitoring reference value of the i-th secondary monitoring point; hi is the temperature change reference value generated based on the temperature monitoring parameter of the i-th primary monitoring point; Preset a first fault evaluation value threshold G1; If g>G1, a first-level maintenance instruction is generated.

7. An operation control system for a 3MW gearbox, using the operation control method for a 3MW gearbox according to any one of claims 1 to 6, characterized in that: include: The central control unit is used to generate multiple monitoring points according to the 3MW gearbox equipment parameters, wherein the monitoring points include primary monitoring points and secondary monitoring points; A monitoring unit, comprising a plurality of monitoring modules, wherein the monitoring modules are arranged at each monitoring point; The central control unit comprises: The first processing module is used to establish a first-level monitoring point sequence A1, A1 = (a 11 , a 12 …a 1i …a 1n1 ), where a 1i is the i-th first-level monitoring point; n1 is the number of first-level monitoring points; The first processing module is also used to establish a secondary monitoring point sequence A2, A2 = (a 21 , a 22 …a 2i …a 2n2 ), where a 2i is the i-th secondary monitoring point; n2 is the number of secondary monitoring points; The second processing module is used to obtain the monitoring data packets of each first-level monitoring point according to the preset monitoring time node; A third processing module, used for generating control parameters according to all monitoring data packets; The first maintenance module is used to obtain feedback data packets from each primary monitoring point and secondary monitoring point according to control parameters, and determine whether to generate a maintenance instruction based on all feedback data packets.

8. The operation control system of the 3MW gearbox according to claim 7, characterized in that: The second processing module is also used for: According to the first-level monitoring point sequence A1, the i-th first-level monitoring point is selected as the target first-level monitoring point; Set the monitoring parameters of the target first-level monitoring point at the current monitoring time node; Generate a temperature value sequence B of the target first-level monitoring point according to the monitoring parameters, B = (b1, b2...bi...bm), where bi is the i-th temperature value collected by the i-th target first-level monitoring point at the current monitoring time node; m is the number of data collection times of the target first-level monitoring point at the current monitoring time node; Generate a monitoring data packet of the target first-level monitoring point at the current monitoring time node according to the temperature value sequence B; Generate monitoring data packets for each first-level monitoring point at the current monitoring time node in sequence.

9. The operation control system of the 3MW gearbox according to claim 8, characterized in that: The third processing module is also used for: Generate monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node in sequence according to all monitoring data packets; Establish the monitoring evaluation value sequence C of the current time node, C = (c1, c2…c i …c n1 ), where c i is the monitoring evaluation value of the i-th first-level monitoring point at the current monitoring time node; Generate the risk assessment value f of the current monitoring time node according to the monitoring assessment value sequence C; Among them, e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; Δc is the average value of all data in the monitoring evaluation value series C; c' is the preset first monitoring evaluation value threshold; Y(i) is the selection coefficient, if c i -c'<0, then Y(i)=0; if c i -c'≥0, then Y(i)=1 / (c i -c'); Generate control parameters for the current monitoring time node according to the risk assessment value f; When the monitoring evaluation values ​​of each first-level monitoring point at the current monitoring time node are generated in sequence, it includes: Obtain the monitoring data packet of the target first-level monitoring point at the current monitoring time node; Generate the monitoring evaluation value c of the target first-level monitoring point at the current monitoring time node; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; e3 is the preset third weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; Q3 is the preset third fixed coefficient; Δb is the average value of all data of temperature value series B; U is the historical reference value set based on the historical monitoring data packet of the target first-level monitoring point; Generate the monitoring evaluation value of each first-level monitoring point in turn.

10. The operation control system of the 3MW gearbox according to claim 9, characterized in that: The third processing module is also used for: A first risk assessment value threshold F1 and a second risk assessment value threshold F2 are preset, and F1<F2; If f<F1, no control instruction is generated at the current monitoring time node; If F1≤f<F2, the current monitoring time node generates a first-level control instruction; If f≥F2, the current monitoring time node generates a secondary control instruction, and sets a feedback time node according to the secondary control instruction, and collects feedback data packets from each primary monitoring point and secondary monitoring point according to the feedback time node.

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