Multi-source heterogeneous data acquisition and processing method and system applied to wind power

Abstract

The application is suitable for the technical field of wind power management, and provides a multi-source heterogeneous data acquisition and processing method and system applied to wind power. The application collects distributed monitoring data, analyzes the pressure of the distributed monitoring data, analyzes the vibration and temperature of the distributed monitoring data, records suspicious time, analyzes suspicious scale and suspicious accumulation when there is suspicious danger, calculates suspicious accumulation value, judges whether there is accumulation danger, and performs direct alarm transmission or alarm transmission. Suspicious time, suspicious scale analysis and suspicious accumulation analysis can be performed when there is suspicious danger, suspicious accumulation value can be calculated, and whether there is accumulation danger can be judged, which has the ability of prediction and early warning of early potential fault signs, avoids that all wind power maintenance can only adopt the mode of emergency repair, reduces operation and maintenance cost and labor input, and also avoids long-time shutdown of the wind turbine generator, so as to ensure continuous and stable operation of the wind farm and overall power generation efficiency.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of wind power management, and particularly relates to a multi-source heterogeneous data acquisition and processing method and system applied to wind power. BACKGROUND

[0002] Wind power management is a systematic, scientific and information-based organization and coordination process in the whole life cycle of wind power generation, including planning, construction, operation, maintenance and retirement of wind power projects. The core goal of wind power management is to achieve efficient utilization of wind energy resources, safe and stable power production, and maximize economic and environmental benefits.

[0003] In the operation stage of wind power management, the focus is on unit operation monitoring, performance optimization, fault diagnosis and maintenance plan development. In the maintenance stage of wind power management, regular maintenance and emergency treatment are used to extend equipment life and reduce failure rate.

[0004] In the prior art, the multi-source heterogeneous data acquisition and processing of wind power is usually based on pre-set abnormal fault data to compare the monitoring data, directly determine whether an abnormal fault occurs, and then perform alarm processing. Only in the case of clear and serious abnormal fault state, can the identification and alarm be completed. However, the prior art lacks the ability to predict and warn early potential fault signs, resulting in that the maintenance of the equipment can only be in the form of emergency repair, which not only increases the operation and maintenance cost and human input, but also may cause long-term shutdown of the wind turbine, affecting the continuous and stable operation of the wind farm and the overall power generation efficiency. SUMMARY

[0005] The purpose of the embodiments of the present application is to provide a multi-source heterogeneous data acquisition and processing method and system applied to wind power, which aims to solve the technical problems existing in the prior art mentioned in the background.

[0006] The embodiments of the present application are implemented as follows:

[0007] The multi-source heterogeneous data acquisition and processing method applied to wind power specifically includes the following steps:

[0008] Periodic multi-source point monitoring of wind power itself is performed according to a pre-set monitoring period, and point monitoring data is collected;

[0009] Pressure analysis is performed on the point monitoring data to determine whether there is pressure abnormality;

[0010] Vibration and temperature analysis is performed on the point monitoring data to determine whether there is a fault danger or a suspicious danger;

[0011] When there is a suspicious danger, suspicious time recording, suspicious scale analysis and suspicious accumulation analysis are performed, a suspicious accumulation value is calculated, and it is determined whether there is an accumulation danger.

[0012] When having pressure abnormality, failure danger and / or accumulation danger, direct alarm transmission and alarm feedback judgment are performed, and when not having alarm feedback, alarm transmission is transmitted.

[0013] As a further limitation of the technical scheme of the embodiment of the present application, the periodic wind power self multi-source distribution monitoring according to the preset monitoring period includes the following steps:

[0014] The multi-source monitoring instruction is periodically generated according to the preset monitoring period;

[0015] In response to the multi-source monitoring instruction, pressure distribution monitoring of the wind power itself is performed, and pressure monitoring data is collected;

[0016] In response to the multi-source monitoring instruction, vibration distribution monitoring of the wind power itself is performed, and vibration monitoring data is collected;

[0017] In response to the multi-source monitoring instruction, temperature distribution monitoring of the wind power itself is performed, and temperature monitoring data is collected;

[0018] The pressure monitoring data, the vibration monitoring data and the temperature monitoring data are integrated to generate distribution monitoring data.

[0019] As a further limitation of the technical scheme of the embodiment of the present application, the pressure analysis of the distribution monitoring data to determine whether there is pressure abnormality includes the following steps:

[0020] Obtain pressure standard data;

[0021] Based on the pressure standard data, the pressure value of the distribution monitoring data is matched and compared, and the pressure comparison result is recorded;

[0022] According to the pressure comparison result, it is determined whether there is pressure abnormality.

[0023] As a further limitation of the technical scheme of the embodiment of the present application, the vibration and temperature analysis of the distribution monitoring data to determine whether there is failure danger or suspicious danger includes the following steps:

[0024] Obtain the failure range and the suspicious range;

[0025] Based on the failure range and the suspicious range, the vibration and temperature value of the distribution monitoring data is analyzed, and the value falling result is recorded;

[0026] According to the value falling result, when the value falls in the failure range, it is determined that there is failure danger;

[0027] According to the numerical falling into result, when the numerical falling is in a suspicious range, it is determined that there is a suspicious danger.

[0028] As a further limitation of the technical scheme of the embodiment of the application, when there is a suspicious danger, suspicious time recording, suspicious scale analysis and suspicious accumulation analysis are performed, a suspicious accumulation value is calculated, and it is determined whether there is an accumulation danger, which specifically comprises the following steps:

[0029] When there is a suspicious danger, suspicious time data is recorded.

[0030] Based on the suspicious range, suspicious scale calculation is performed on the monitoring data of the distribution points to obtain suspicious scale data.

[0031] According to the suspicious time data and the suspicious scale data, suspicious accumulation analysis is performed, and a suspicious accumulation value is calculated.

[0032] The suspicious accumulation value is compared with a preset danger accumulation standard to determine whether there is an accumulation danger.

[0033] As a further limitation of the technical scheme of the embodiment of the application, when there is a pressure anomaly, a failure danger and / or an accumulation danger, direct alarm transmission and alarm feedback determination are performed, and when there is no alarm feedback, transmission alarm transmission is performed, which specifically comprises the following steps:

[0034] When there is a pressure anomaly, a failure danger and / or an accumulation danger, a danger alarm signal is generated.

[0035] An alarm transmission address is obtained.

[0036] The danger alarm signal is directly transmitted according to the alarm transmission address.

[0037] After a preset feedback standard time, alarm feedback determination is performed.

[0038] When there is no alarm feedback, wind power communication data is obtained, and a cooperative wind power target is selected.

[0039] The danger alarm signal is transmitted to the cooperative wind power target, and the danger alarm signal is transmitted by the cooperative wind power target.

[0040] A multi-source heterogeneous data acquisition and processing system applied to wind power, the system comprising a multi-source distribution point monitoring module, a pressure anomaly determination module, a vibration temperature analysis module, an accumulation danger determination module and an alarm transmission processing module, wherein:

[0041] The multi-source distribution point monitoring module is used to perform periodic wind power self multi-source distribution point monitoring according to a preset monitoring period, and to acquire distribution point monitoring data.

[0042] The pressure anomaly judgment module is configured to perform pressure analysis on the monitoring data of the distribution points and determine whether there is a pressure anomaly.

[0043] The vibration and temperature analysis module is configured to perform vibration and temperature analysis on the monitoring data of the distribution points and determine whether there is a failure risk or a suspicious risk.

[0044] The accumulation risk judgment module is configured to, when there is a suspicious risk, perform suspicious time recording, suspicious scale analysis and suspicious accumulation analysis, calculate a suspicious accumulation value, and determine whether there is an accumulation risk.

[0045] The alarm transmission processing module is configured to, when there is a pressure anomaly, a failure risk and / or an accumulation risk, perform direct alarm transmission and alarm feedback judgment, and when there is no alarm feedback, perform alarm transmission.

[0046] As a further limitation of the technical scheme of the embodiment of the present application, the vibration and temperature analysis module specifically comprises:

[0047] The range data acquisition unit is configured to acquire a failure range and a suspicious range.

[0048] The value falling analysis unit is configured to perform vibration and temperature value falling analysis on the monitoring data of the distribution points based on the failure range and the suspicious range, and record a value falling result.

[0049] The failure risk judgment unit is configured to determine that there is a failure risk when the value falling result falls within the failure range.

[0050] The suspicious risk judgment unit is configured to determine that there is a suspicious risk when the value falling result falls within the suspicious range.

[0051] As a further limitation of the technical scheme of the embodiment of the present application, the accumulation risk judgment module specifically comprises:

[0052] The suspicious time recording unit is configured to record suspicious time data when there is a suspicious risk.

[0053] The suspicious scale calculation unit is configured to perform suspicious scale calculation on the monitoring data of the distribution points based on the suspicious range, and acquire suspicious scale data.

[0054] The suspicious accumulation value calculation unit is configured to perform suspicious accumulation analysis based on the suspicious time data and the suspicious scale data, and calculate a suspicious accumulation value.

[0055] The accumulation risk judgment unit is configured to compare the suspicious accumulation value with a preset risk accumulation standard, and determine whether there is an accumulation risk.

[0056] As a further limitation of the technical scheme of the embodiment of the application, the alarm transmission processing module specifically comprises:

[0057] An alarm signal generating unit is configured to generate a danger alarm signal when there is pressure abnormality, danger of failure and / or danger of accumulation;

[0058] An address obtaining unit is configured to obtain an alarm transmission address;

[0059] A direct alarm transmission unit is configured to perform direct alarm transmission of the danger alarm signal according to the alarm transmission address;

[0060] An alarm feedback judging unit is configured to perform alarm feedback judgment after a preset feedback standard time;

[0061] A cooperative wind power target selecting unit is configured to obtain wind power communication data and select a cooperative wind power target when there is no alarm feedback;

[0062] A relay alarm transmission unit is configured to transmit the danger alarm signal to the cooperative wind power target and perform relay alarm transmission of the danger alarm signal through the cooperative wind power target.

[0063] Compared with the prior art, the application has the following beneficial effects:

[0064] (1) The application can perform suspicious time recording, suspicious scale analysis and suspicious accumulation analysis when there is suspicious danger, calculate a suspicious accumulation value, judge whether there is danger of accumulation, have the ability of prediction and early warning of early potential failure signs, avoid that all wind power maintenance can only adopt an emergency repair mode, reduce operation and maintenance cost and manpower investment, and also avoid long-time shutdown of a wind turbine generator, thereby ensuring continuous and stable operation of a wind farm and overall power generation efficiency;

[0065] (2) The application can perform alarm feedback judgment, select a cooperative wind power target when there is no alarm feedback, and perform relay alarm transmission of a danger alarm signal, so that when the wind power itself has a wireless communication failure, the signal transmission can be assisted through the cooperative wind power target of wired communication, and stable transmission of the danger alarm signal can be ensured under special circumstances;

[0066] (3) The application can perform pressure analysis, vibration analysis and temperature analysis on the distributed monitoring data based on the edge computing technology of the wind power itself, judge pressure abnormality, danger of failure or suspicious danger, and perform calculation and comparison of a suspicious accumulation value when there is suspicious danger, so that the localization of data analysis processing can be realized, the centralized transmission of monitoring data and the pressure of cloud computing can be significantly reduced, and the calculation and storage burden of a server can be effectively reduced. BRIEF DESCRIPTION OF DRAWINGS

[0067] Figure 1 A flow chart of the multi-source heterogeneous data acquisition and processing method applied to wind power provided by the embodiment of the present application is shown.

[0068] Figure 2 An application architecture diagram of the multi-source heterogeneous data acquisition and processing system applied to wind power provided by the embodiment of the present application is shown. DETAILED DESCRIPTION

[0069] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not used to limit the present application.

[0070] It can be understood that, in the prior art, the multi-source heterogeneous data acquisition and processing of wind power is usually to compare the monitoring data according to the preset abnormal fault data, directly judge whether an abnormal fault occurs, and then perform alarm processing. Only in the explicit and serious abnormal fault state, the identification and alarm can be completed. The prediction and early warning capability for early potential fault signs is lacked, so that the maintenance of the equipment can only adopt the emergency repair mode. The operation and maintenance cost and the manpower investment are increased. The long-time shutdown of the wind turbine generator may also be caused, thereby affecting the continuous and stable operation of the wind farm and the overall power generation efficiency.

[0071] To solve the above problems, the multi-source heterogeneous data acquisition and processing method and system applied to wind power disclosed by the embodiment of the present application are provided. The multi-source distributed monitoring of wind power itself is performed periodically according to a preset monitoring period, and the distributed monitoring data is collected. The pressure analysis is performed on the distributed monitoring data, and whether there is pressure abnormality is judged. The vibration and temperature analysis is performed on the distributed monitoring data, and whether there is fault danger or suspicious danger is judged. When there is suspicious danger, the suspicious time record, suspicious scale analysis and suspicious accumulation analysis are performed, the suspicious accumulation value is calculated, and whether there is accumulation danger is judged. When there is pressure abnormality, fault danger and / or accumulation danger, the direct alarm transmission and alarm feedback judgment are performed, and when there is no alarm feedback, the alarm transmission is transmitted. When there is suspicious danger, the suspicious time record, suspicious scale analysis and suspicious accumulation analysis are performed, the suspicious accumulation value is calculated, and whether there is accumulation danger is judged. The prediction and early warning capability for early potential fault signs is provided. The emergency repair mode for all wind power maintenance is avoided, the operation and maintenance cost and the manpower investment are reduced, the long-time shutdown of the wind turbine generator is avoided, and the continuous and stable operation of the wind farm and the overall power generation efficiency are ensured.

[0072] Specifically, Figure 1 A flow chart of the multi-source heterogeneous data acquisition and processing method applied to wind power provided by the embodiment of the present application is shown.

[0073] In a preferred embodiment provided by the application, a multi-source heterogeneous data acquisition and processing method applied to wind power is provided, and the method specifically comprises the following steps:

[0074] In step S101, periodic multi-source point monitoring of the wind power itself is performed according to a preset monitoring period, and point monitoring data is acquired.

[0075] In the embodiment of the application, multi-source monitoring instructions are periodically generated according to a preset monitoring period, and then the wind power itself is monitored in response to the multi-source monitoring instructions, so as to periodically acquire pressure monitoring data, vibration monitoring data and temperature monitoring data of the wind power itself, and the pressure monitoring data, the vibration monitoring data and the temperature monitoring data are comprehensively arranged to obtain point monitoring data.

[0076] It can be understood that, in the wind power, the gear box structure is relatively complex, and the operation condition is harsh and the load is variable, so the wind power is most prone to failure during operation. Therefore, in the embodiment of the application, the multi-source point monitoring of the wind power itself is mainly performed on the wind power gear box. Specifically, the pressure point monitoring needs to monitor the inlet pressure of the lubricating oil of the wind power gear box, the filtration pressure of the lubricating oil and the oil pool pressure, etc. The vibration point monitoring needs to monitor the bearing vibration and gear vibration of the wind power gear box, wherein the bearing vibration includes low-speed bearing vibration and high-speed bearing vibration, etc., and the gear vibration includes first-stage inner tooth vibration and second-stage inner tooth vibration, etc. The temperature point monitoring needs to monitor the inner bearing temperature and the outer bearing temperature of the wind power gear box, etc.

[0077] Specifically, in another preferred embodiment provided by the application, the periodic multi-source point monitoring of the wind power itself according to a preset monitoring period specifically comprises the following steps:

[0078] Periodic multi-source monitoring instructions are generated according to a preset monitoring period;

[0079] In response to the multi-source monitoring instructions, pressure point monitoring of the wind power itself is performed, and pressure monitoring data is acquired;

[0080] In response to the multi-source monitoring instructions, vibration point monitoring of the wind power itself is performed, and vibration monitoring data is acquired;

[0081] In response to the multi-source monitoring instructions, temperature point monitoring of the wind power itself is performed, and temperature monitoring data is acquired;

[0082] The pressure monitoring data, the vibration monitoring data and the temperature monitoring data are comprehensively arranged to generate point monitoring data.

[0083] Further, the multi-source heterogeneous data acquisition and processing method applied to wind power further comprises the following steps.

[0084] In step S102, the pressure analysis is performed on the monitoring data at the distribution points to determine whether there is pressure abnormality.

[0085] In the embodiment, the pressure standard data is acquired, the pressure value matching and comparison are performed on the monitoring data at the distribution points based on the pressure standard data, the pressure comparison result is recorded, and then whether there is pressure abnormality is determined according to the pressure comparison result. Specifically, when the pressure monitoring data in the monitoring data at the distribution points does not meet the pressure requirement corresponding to the pressure standard data, it is determined that there is pressure abnormality.

[0086] It can be understood that, in the embodiment, the pressure standard data includes that the lubricating oil inlet pressure is greater than 0.75 bar, the lubricating oil filtration pressure is less than 3 bar, and the oil pool pressure is greater than 1 bar.

[0087] Specifically, in another preferred embodiment provided by the application, the pressure analysis on the monitoring data at the distribution points to determine whether there is pressure abnormality specifically comprises the following steps.

[0088] The pressure standard data is acquired;

[0089] The pressure value matching and comparison are performed on the monitoring data at the distribution points based on the pressure standard data, and the pressure comparison result is recorded;

[0090] Whether there is pressure abnormality is determined according to the pressure comparison result.

[0091] Further, the multi-source heterogeneous data acquisition and processing method applied to wind power further comprises the following steps.

[0092] In step S103, the vibration and temperature analysis is performed on the monitoring data at the distribution points to determine whether there is fault danger or suspicious danger.

[0093] In the embodiment, the fault range and the suspicious range of vibration and temperature are acquired, the vibration monitoring data and the temperature monitoring data in the monitoring data at the distribution points are subjected to the value falling analysis of vibration and temperature based on the fault range and the suspicious range, the value falling result is recorded, and then the state is determined according to the value falling result. Specifically, when the value falls in the fault range, it is determined that there is fault danger; and when the value falls in the suspicious range, it is determined that there is suspicious danger.

[0094] It can be understood that the fault range corresponds to the value interval of vibration and temperature under the condition that the wind power has clear and serious abnormal fault state, and the suspicious range corresponds to the value interval of vibration and temperature under the condition that the wind power has early potential fault signs.

[0095] Specifically, in another preferred embodiment provided by the application, the vibration and temperature analysis on the point monitoring data to determine whether there is a failure risk or a suspicious risk specifically comprises the following steps:

[0096] obtaining a failure range and a suspicious range;

[0097] based on the failure range and the suspicious range, performing a value falling analysis on the vibration and temperature of the point monitoring data, and recording a value falling result;

[0098] according to the value falling result, determining that there is a failure risk when the value falls in the failure range;

[0099] according to the value falling result, determining that there is a suspicious risk when the value falls in the suspicious range.

[0100] Further, the multi-source heterogeneous data acquisition and processing method applied to wind power specifically comprises the following steps:

[0101] Step S104, when there is a suspicious risk, performing suspicious time recording, suspicious scale analysis and suspicious accumulation analysis, calculating a suspicious accumulation value, and determining whether there is an accumulation danger.

[0102] In the embodiment of the application, when it is determined that there is a suspicious risk, the starting time of the suspicious risk is recorded to obtain suspicious time data, suspicious scale calculation is performed on the vibration monitoring data and the temperature monitoring data in the point monitoring data based on the suspicious range to obtain suspicious scale data, suspicious accumulation analysis is performed according to the suspicious time data and the suspicious scale data to calculate a suspicious accumulation value, then the suspicious accumulation value is compared with a preset danger accumulation standard to determine whether there is an accumulation danger, specifically, when the suspicious accumulation value is greater than the danger accumulation standard, it is determined that there is an accumulation danger; when the suspicious accumulation value is not greater than the danger accumulation standard, it is determined that there is no accumulation danger.

[0103] Specifically, in the embodiment of the application, the calculation formula of the suspicious scale data is as follows:

[0104] ;

[0105] ;

[0106] wherein, is a vibration suspicious scale, is a temperature suspicious scale, is a current vibration value, is a vibration edge value, is a current temperature value, is a temperature edge value;

[0107] The suspicious accumulation value is calculated by the following formula:

[0108]

[0109] wherein, is the suspicious accumulation value, is the start time, is the current time, is a preset accumulation calculation coefficient, is a vibration suspicious scale, is a temperature suspicious scale, is the power of the vibration suspicious scale, is the power of the temperature suspicious scale.

[0110] It can be understood that the current vibration value and the current temperature value are the values corresponding to the vibration monitoring data and the temperature monitoring data in the monitoring data of the points; the vibration edge value and the temperature edge value are the range boundary values in the suspicious range.

[0111] It can be understood that the calculation of the suspicious accumulation value is a time accumulation process, and the longer the time is, the larger the suspicious accumulation value is, and the potential failure sign is more likely to turn into a substantial failure.

[0112] It can be understood that the suspicious scale calculation is a process of calculating the boundary difference values of the vibration and the temperature and the suspicious range according to the suspicious range, the vibration monitoring data and the temperature monitoring data, and the suspicious scale data calculated by the calculation reflects the degree of the potential failure sign.

[0113] Specifically, in another preferred embodiment provided by the present application, the suspicious time recording, the suspicious scale analysis and the suspicious accumulation analysis are performed when there is a suspicious risk, the suspicious accumulation value is calculated, and it is determined whether there is an accumulation risk, which specifically includes the following steps:

[0114] When there is a suspicious risk, suspicious time data is recorded;

[0115] Based on the suspicious range, suspicious scale calculation is performed on the monitoring data of the points to obtain suspicious scale data;

[0116] According to the suspicious time data and the suspicious scale data, suspicious accumulation analysis is performed to calculate a suspicious accumulation value;

[0117] The suspicious accumulation value is compared with a preset risk accumulation standard to determine whether there is an accumulation risk.

[0118] ​​​​​​Furthermore, the multi-source heterogeneous data acquisition and processing method applied to wind power also includes the following steps:

[0119] Step S105: When there is abnormal pressure, fault hazard and / or accumulation hazard, perform direct alarm transmission and alarm feedback judgment; when there is no alarm feedback, perform alarm transmission.

[0120] In this embodiment of the invention, in the event of abnormal pressure, fault hazards, and / or accumulation hazards, a hazard alarm signal is generated, and an alarm transmission address is obtained. Then, according to the alarm transmission address, the hazard alarm signal is directly transmitted wirelessly. After a preset feedback standard time, an alarm feedback judgment is performed. If it is determined that there is no alarm feedback, wind power communication data recording the wired communication relationship between wind power units is obtained. A cooperative wind power target with wired communication connection and normal wireless communication is selected, and the hazard alarm signal is transmitted to the cooperative wind power target via wired communication. Then, the hazard alarm signal is transmitted through the wireless communication of the cooperative wind power target, so that even in the case of a wireless communication failure of the wind power itself, the hazard alarm signal can still be transmitted to the alarm transmission address.

[0121] It is understandable that if the direct alarm transmission of wireless communication is normal, alarm feedback will be received. Therefore, the absence of alarm feedback indicates that the direct alarm transmission of wireless communication is abnormal.

[0122] Specifically, in another preferred embodiment provided by the present invention, the step of performing direct alarm transmission and alarm feedback judgment when there is abnormal pressure, fault hazard and / or accumulation hazard, and performing alarm transmission when there is no alarm feedback, specifically includes the following steps:

[0123] When there is abnormal pressure, malfunction, and / or accumulation hazard, a hazard alarm signal is generated;

[0124] Obtain the alarm transmission address;

[0125] The danger alarm signal will be directly transmitted according to the alarm transmission address.

[0126] After a preset feedback standard time, an alarm feedback judgment is performed;

[0127] When there is no alarm feedback, acquire wind power communication data and select a cooperative wind power target;

[0128] The danger alarm signal is transmitted to the cooperative wind power target, and the danger alarm signal is transmitted through the cooperative wind power target.

[0129] Furthermore, Figure 2An application architecture diagram of the multi-source heterogeneous data acquisition and processing system applied to wind power is shown.

[0130] Specifically, in another preferred embodiment provided by the application, the multi-source heterogeneous data acquisition and processing system applied to wind power comprises:

[0131] The multi-source point monitoring module 101 is configured to periodically acquire point monitoring data by periodically monitoring the wind power in multiple sources according to a preset monitoring period.

[0132] In the embodiment of the application, the multi-source point monitoring module 101 periodically generates a multi-source monitoring instruction according to a preset monitoring period, and then responds to the multi-source monitoring instruction to perform pressure point monitoring, vibration point monitoring and temperature point monitoring of the wind power, periodically acquires pressure monitoring data, vibration monitoring data and temperature monitoring data of the wind power, and comprehensively processes the pressure monitoring data, vibration monitoring data and temperature monitoring data to obtain point monitoring data.

[0133] The pressure abnormality judgment module 102 is configured to analyze the pressure of the point monitoring data and determine whether there is pressure abnormality.

[0134] In the embodiment of the application, the pressure abnormality judgment module 102 acquires pressure standard data, performs pressure value matching and comparison on the point monitoring data based on the pressure standard data, records the pressure comparison result, and then determines whether there is pressure abnormality according to the pressure comparison result. Specifically, when the pressure monitoring data in the point monitoring data does not meet the pressure requirement corresponding to the pressure standard data, it is determined that there is pressure abnormality.

[0135] The vibration and temperature analysis module 103 is configured to analyze the vibration and temperature of the point monitoring data and determine whether there is fault danger or suspicious danger.

[0136] In the embodiment of the application, the vibration and temperature analysis module 103 acquires a fault range and a suspicious range of vibration and temperature, and then performs vibration and temperature value falling analysis on the vibration monitoring data and the temperature monitoring data in the point monitoring data based on the fault range and the suspicious range, records the value falling result, and then determines the state according to the value falling result. Specifically, in the case of falling into the fault range, it is determined that there is fault danger; and in the case of falling into the suspicious range, it is determined that there is suspicious danger.

[0137] Specifically, in another preferred embodiment provided by the application, the vibration and temperature analysis module 103 specifically comprises:

[0138] The range data acquisition unit is configured to acquire the fault range and the suspicious range.

[0139] A numerical value falling analysis unit is configured to perform numerical value falling analysis on the vibration and temperature of the monitoring data of the points based on the failure range and the suspicious range, and record the numerical value falling result;

[0140] A failure risk determination unit is configured to determine that there is a failure risk when the numerical value falls within the failure range according to the numerical value falling result.

[0141] A suspicious risk determination unit is configured to determine that there is a suspicious risk when the numerical value falls within the suspicious range according to the numerical value falling result.

[0142] Further, the multi-source heterogeneous data acquisition and processing system applied to wind power generation further comprises:

[0143] The accumulation risk judgment module 104 is configured to perform suspicious time recording, suspicious scale analysis and suspicious accumulation analysis when there is a suspicious risk, calculate a suspicious accumulation value, and determine whether there is an accumulation risk.

[0144] In the embodiment of the application, when it is determined that there is a suspicious risk, the accumulation risk judgment module 104 records the start time of the suspicious risk to obtain suspicious time data, performs suspicious scale calculation on the vibration monitoring data and the temperature monitoring data in the monitoring data of the points based on the suspicious range to obtain suspicious scale data, and then performs suspicious accumulation analysis according to the suspicious time data and the suspicious scale data to calculate a suspicious accumulation value. After that, the suspicious accumulation value is compared with a preset risk accumulation standard to determine whether there is an accumulation risk. Specifically, when the suspicious accumulation value is greater than the risk accumulation standard, it is determined that there is an accumulation risk; and when the suspicious accumulation value is not greater than the risk accumulation standard, it is determined that there is no accumulation risk.

[0145] Specifically, in the embodiment of the application, the calculation formula of the suspicious scale data is as follows:

[0146] ;

[0147] ;

[0148] wherein, is the vibration suspicious scale, is the temperature suspicious scale, is the current vibration value, is the vibration edge value, is the current temperature value, is the temperature edge value;

[0149] The calculation formula of the suspicious accumulation value is as follows:

[0150] ;

[0151] wherein, is a suspicious accumulation value, is a start time, is a current time, is a preset accumulation calculation coefficient, is a vibration suspicious scale, is a temperature suspicious scale, is the power of , and , is the power of .

[0152] Specifically, in another preferred embodiment of the present application, the accumulation risk judgment module 104 specifically comprises:

[0153] a suspicious time recording unit, configured to record suspicious time data when having a suspicious risk;

[0154] a suspicious scale calculation unit, configured to perform suspicious scale calculation on the monitoring data of the distribution points based on the suspicious range, to obtain suspicious scale data;

[0155] a suspicious accumulation value calculation unit, configured to perform suspicious accumulation analysis according to the suspicious time data and the suspicious scale data, to calculate a suspicious accumulation value;

[0156] an accumulation risk judgment unit, configured to compare the suspicious accumulation value with a preset risk accumulation standard, to judge whether having an accumulation risk.

[0157] Further, the multi-source heterogeneous data acquisition and processing system applied to wind power further comprises:

[0158] an alarm transmission processing module 105, configured to perform direct alarm transmission and alarm feedback judgment when having pressure abnormality, fault risk and / or accumulation risk, and to perform transferred alarm transmission when not having alarm feedback.

[0159] In the embodiment of the present application, in the case of pressure abnormality, failure danger and / or accumulation danger, the alarm transmission processing module 105 generates a danger alarm signal, acquires an alarm transmission address, and then performs direct alarm transmission of the danger alarm signal according to the alarm transmission address, and after a preset feedback standard time, performs alarm feedback judgment, in the case of no alarm feedback, acquires wind power communication data recording the wired communication relationship between wind powers, selects a cooperative wind power target having wired communication contact and normal wireless communication, and then transmits the danger alarm signal to the cooperative wind power target through wired communication, and further transmits the danger alarm signal through wireless communication of the cooperative wind power target, so that in the case of wind power wireless communication failure, the danger alarm signal can still be transmitted to the alarm transmission address.

[0160] Specifically, in another preferred embodiment of the present application, the alarm transmission processing module 105 specifically includes:

[0161] An alarm signal generation unit, configured to generate a danger alarm signal in the case of pressure abnormality, failure danger and / or accumulation danger;

[0162] An address acquisition unit, configured to acquire an alarm transmission address;

[0163] A direct alarm transmission unit, configured to perform direct alarm transmission of the danger alarm signal according to the alarm transmission address;

[0164] An alarm feedback judgment unit, configured to perform alarm feedback judgment after a preset feedback standard time;

[0165] A cooperative wind power target selection unit, configured to acquire wind power communication data and select a cooperative wind power target in the case of no alarm feedback;

[0166] A transmission alarm transmission unit, configured to transmit the danger alarm signal to the cooperative wind power target, and perform transmission alarm transmission of the danger alarm signal through the cooperative wind power target.

[0167] The above-described embodiments only express several embodiments of the present application, which are described in detail and in detail, but cannot be understood as a limitation on the scope of the present application. It should be noted that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for multi-source heterogeneous data acquisition and processing applied to wind power, characterized in that, The method specifically comprises the following steps: According to the preset monitoring period, periodic wind power self multi-source distribution monitoring is performed, and distribution monitoring data is collected; Pressure analysis is performed on the distribution monitoring data to determine whether there is pressure abnormality; Vibration and temperature analysis is performed on the distribution monitoring data to determine whether there is fault danger or suspicious danger; When there is suspicious danger, suspicious time recording, suspicious scale analysis and suspicious accumulation analysis are performed, a suspicious accumulation value is calculated, and it is determined whether there is accumulation danger; When it is determined that there is suspicious danger, the start time of the suspicious danger is recorded to obtain suspicious time data, suspicious scale calculation is performed on vibration monitoring data and temperature monitoring data in the distribution monitoring data based on a suspicious range to obtain suspicious scale data, suspicious accumulation analysis is performed according to the suspicious time data and the suspicious scale data, a suspicious accumulation value is calculated, then the suspicious accumulation value is compared with a preset danger accumulation standard to determine whether there is accumulation danger, specifically, when the suspicious accumulation value is greater than the danger accumulation standard, it is determined that there is accumulation danger; when the suspicious accumulation value is not greater than the danger accumulation standard, it is determined that there is no accumulation danger; Specifically, the calculation formula of the suspicious scale data is: ； ； wherein, is a vibration suspicious scale, is a temperature suspicious scale, is a current vibration value, is a vibration edge value, is a current temperature value, is a temperature edge value; The calculation formula of the suspicious accumulation value is: ； wherein, is a suspicious accumulation value, is a start time, is a current time, is a preset accumulation calculation coefficient, is a vibration suspicious scale, is a temperature suspicious scale, is the power of , is the power of When there is pressure abnormality, fault danger and / or accumulation danger, direct alarm transmission and alarm feedback determination are performed, and transmission alarm transmission is performed when there is no alarm feedback; When there is pressure abnormality, fault danger and / or accumulation danger, a danger alarm signal is generated, an alarm transmission address is obtained, the danger alarm signal is transmitted through direct alarm transmission of wireless communication according to the alarm transmission address, and alarm feedback determination is performed after a preset feedback standard time, wind power communication data recording the wired communication relationship between wind powers is obtained when it is determined that there is no alarm feedback, a cooperative wind power target having wired communication contact and normal wireless communication is selected, the danger alarm signal is transmitted to the cooperative wind power target through wired communication, and then the danger alarm signal is transmitted through transmission alarm transmission of wireless communication of the cooperative wind power target, so that the danger alarm signal can be transmitted to the alarm transmission address even when the wind power self wireless communication fails.

2. The multi-source heterogeneous data collection and processing method for wind power application according to claim 1, characterized in that, The periodic wind power self multi-source distribution monitoring according to the preset monitoring period to collect the distribution monitoring data specifically comprises the following steps: Periodic multi-source monitoring instructions are generated according to the preset monitoring period; In response to the multi-source monitoring instructions, pressure distribution monitoring of the wind power self is performed to collect pressure monitoring data; In response to the multi-source monitoring instructions, vibration distribution monitoring of the wind power self is performed to collect vibration monitoring data; In response to the multi-source monitoring instructions, temperature distribution monitoring of the wind power self is performed to collect temperature monitoring data; The pressure monitoring data, the vibration monitoring data and the temperature monitoring data are integrated to generate the distribution monitoring data.

3. The multi-source heterogeneous data collection and processing method for wind power application according to claim 1, characterized in that, The pressure analysis on the distribution monitoring data to determine whether there is pressure abnormality specifically comprises the following steps: Pressure standard data is obtained; Based on the pressure standard data, the pressure value matching and comparison are performed on the distribution point monitoring data, and a pressure comparison result is recorded; According to the pressure comparison result, it is judged whether there is pressure abnormality.

4. The multi-source heterogeneous data collection and processing method for wind power application according to claim 1, characterized in that, The vibration and temperature analysis on the distribution point monitoring data to judge whether there is fault danger or suspicious danger specifically includes the following steps: Obtaining a fault range and a suspicious range; Based on the fault range and the suspicious range, the vibration and temperature value falling analysis is performed on the distribution point monitoring data, and a value falling result is recorded; According to the value falling result, when the value falls in the fault range, it is determined that there is fault danger; According to the value falling result, when the value falls in the suspicious range, it is determined that there is suspicious danger.

5. A multi-source heterogeneous data acquisition and processing system applied to wind power, characterized in that, The system includes a multi-source distribution point monitoring module, a pressure abnormality judgment module, a vibration temperature analysis module, an accumulated danger judgment module, and an alarm transmission processing module, wherein: The multi-source distribution point monitoring module is used to perform periodic wind power self multi-source distribution point monitoring according to a preset monitoring period, and collect distribution point monitoring data; The pressure abnormality judgment module is used to perform pressure analysis on the distribution point monitoring data to judge whether there is pressure abnormality; The vibration temperature analysis module is used to perform vibration and temperature analysis on the distribution point monitoring data to judge whether there is fault danger or suspicious danger; The accumulated danger judgment module is used to perform suspicious time recording, suspicious scale analysis and suspicious accumulation analysis when there is suspicious danger, calculate a suspicious accumulation value, and judge whether there is accumulated danger; In the case of determining that there is suspicious danger, the accumulated danger judgment module records the start time of suspicious danger to obtain suspicious time data, performs suspicious scale calculation on the vibration monitoring data and the temperature monitoring data in the distribution point monitoring data based on the suspicious range to obtain suspicious scale data, and then performs suspicious accumulation analysis according to the suspicious time data and the suspicious scale data to calculate a suspicious accumulation value. After that, the suspicious accumulation value is compared with a preset danger accumulation standard to judge whether there is accumulated danger. Specifically, when the suspicious accumulation value is greater than the danger accumulation standard, it is determined that there is accumulated danger; when the suspicious accumulation value is not greater than the danger accumulation standard, it is determined that there is no accumulated danger; Specifically, the calculation formula of the suspicious scale data is: ； ； wherein, is a vibration suspicious scale, is a temperature suspicious scale, is a current vibration value, is a vibration edge value, is a current temperature value, is a temperature edge value; The calculation formula of the suspicious accumulation value is: ； wherein, is a suspicious accumulation value, is a start time, is a current time, is a preset accumulation calculation coefficient, is a vibration suspicious scale, is a temperature suspicious scale, is the power of , is the power of The alarm transmission processing module is used to perform direct alarm transmission and alarm feedback judgment when there is pressure abnormality, fault danger and / or accumulated danger, and to perform alarm transmission transmission when there is no alarm feedback. In the case of pressure anomaly, failure danger and / or accumulation danger, the alarm transmission processing module generates a danger alarm signal, acquires an alarm transmission address, and then performs direct alarm transmission of the danger alarm signal according to the alarm transmission address, and after a preset feedback standard time, performs alarm feedback judgment, in the case of no alarm feedback, acquires wind power communication data recording the wired communication relationship between wind powers, selects a cooperative wind power target having wired communication contact and normal wireless communication, and then transmits the danger alarm signal to the cooperative wind power target through wired communication, and further transmits the danger alarm signal through wireless communication of the cooperative wind power target, so that in the case of wind power wireless communication failure, the danger alarm signal can still be transmitted to the alarm transmission address.

6. The multi-source heterogeneous data acquisition and processing system for wind power application according to claim 5, characterized in that, The vibration temperature analysis module specifically includes: a range data acquisition unit for acquiring a failure range and a suspicious range; a numerical value falling analysis unit for performing numerical value falling analysis of vibration and temperature on the distributed monitoring data based on the failure range and the suspicious range, and recording a numerical value falling result; a failure danger determination unit for determining failure danger according to the numerical value falling result when the numerical value falls within the failure range; a suspicious danger determination unit for determining suspicious danger according to the numerical value falling result when the numerical value falls within the suspicious range.

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