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

Abstract

The invention 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 method comprises the following steps: collecting distribution point monitoring data; performing pressure analysis on the distribution monitoring data; vibration and temperature analysis is carried out on the point distribution monitoring data; when the suspicious danger exists, suspicious time recording, suspicious scale analysis and suspicious accumulation analysis are carried out, a suspicious accumulation value is calculated, and whether accumulation danger exists or not is judged; and direct alarm transmission or transmission alarm transmission is carried out. The method can carry out suspicious time recording, suspicious scale analysis and suspicious accumulation analysis, calculate a suspicious accumulation value and judge whether accumulation danger exists or not when suspicious danger exists, has the capability of predicting and early warning early potential fault symptoms, avoids the situation that all wind power maintenance can only adopt an emergency repair mode, reduces the operation and maintenance cost and human input, and improves the maintenance efficiency. And long-time shutdown of the wind turbine generator can be avoided, so that continuous and stable operation and overall power generation efficiency of the wind power plant are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind power management, and in particular relates to a multi-source heterogeneous data acquisition and processing method and system applied to wind power. Background Art

[0002] Wind power management is the systematic, scientific, and information-based organization and coordination of all aspects of a wind power project, including planning, construction, operation, maintenance, and decommissioning, throughout its entire lifecycle. The core goals of wind power management are to achieve efficient utilization of wind energy resources, safe and stable power production, and maximize economic and environmental benefits.

[0003] During the operation phase of wind power management, the focus is on unit operation monitoring, performance optimization, fault diagnosis, and maintenance plan formulation; during the maintenance phase of wind power management, regular maintenance and emergency response are used to extend equipment life and reduce failure rates.

[0004] In the existing technology, the multi-source heterogeneous data collection and processing of wind power usually compares the monitoring data according to the preset abnormal fault data, directly determines whether an abnormal fault has occurred, and then performs alarm processing. Identification and alarm can only be completed in clear and serious abnormal fault conditions. There is a lack of prediction and early warning capabilities for early potential fault signs, resulting in equipment maintenance only being carried out in an emergency repair manner. This not only increases operation and maintenance costs and manpower investment, but may also cause long-term shutdown of wind turbines, affecting the continuous and stable operation of wind farms and the overall power generation efficiency. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide a multi-source heterogeneous data collection and processing method and system for wind power, aiming to solve the technical problems existing in the existing technology mentioned in the background technology.

[0006] The embodiment of the present invention is implemented as follows: A multi-source heterogeneous data acquisition and processing method for wind power, the method specifically comprising the following steps: According to the preset monitoring cycle, periodic multi-source monitoring of wind power itself is carried out to collect monitoring data; Performing pressure analysis on the monitoring data to determine whether there is any pressure anomaly; Performing vibration and temperature analysis on the monitoring data of the distribution points to determine whether there is a risk of failure or a suspected risk; When there is a suspected danger, conduct suspicious time record, suspicious scale analysis and suspicious accumulation analysis, calculate the suspicious accumulation value, and determine whether there is an accumulation danger; When there is a pressure anomaly, a malfunction hazard and / or an accumulation hazard, direct alarm transmission and alarm feedback judgment are performed; when there is no alarm feedback, a transfer alarm transmission is performed.

[0007] As a further limitation of the technical solution of the embodiment of the present invention, the periodic multi-source monitoring of wind power itself according to the preset monitoring period and the collection of monitoring data specifically include the following steps: Generate multi-source monitoring instructions periodically according to the preset monitoring cycle; In response to the multi-source monitoring instruction, the wind power plant itself is monitored at pressure points and pressure monitoring data is collected; In response to the multi-source monitoring instruction, the wind power plant itself is subjected to vibration point monitoring and vibration monitoring data is collected; In response to the multi-source monitoring instruction, the wind power plant itself is monitored at various temperature points and temperature monitoring data is collected; The pressure monitoring data, the vibration monitoring data and the temperature monitoring data are integrated to generate point monitoring data.

[0008] As a further limitation of the technical solution of the embodiment of the present invention, the pressure analysis of the monitoring data to determine whether there is a pressure anomaly specifically includes the following steps: Obtain pressure standard data; Based on the pressure standard data, matching and comparing the pressure values ​​of the monitoring data at the distribution points, and recording the pressure comparison results; According to the pressure comparison result, it is determined whether there is a pressure abnormality.

[0009] As a further limitation of the technical solution of the embodiment of the present invention, the vibration and temperature analysis of the monitoring data to determine whether there is a fault risk or a suspected risk specifically includes the following steps: Obtain the fault scope and suspected scope; Based on the fault range and the suspicious range, performing a vibration and temperature numerical value fall-in analysis on the monitoring data of the distribution points, and recording the numerical value fall-in results; According to the result of the numerical value falling into the fault range, it is determined that there is a fault risk; According to the result of the numerical value falling into the suspicious range, it is determined that there is a suspicious risk.

[0010] As a further limitation of the technical solution of the embodiment of the present invention, when there is a suspected risk, performing suspicious time recording, suspicious scale analysis and suspicious accumulation analysis, calculating the suspicious accumulation value, and determining whether there is an accumulation risk specifically include the following steps: When there is a suspected danger, record the suspicious time data; Based on the suspicious range, calculating the suspicious scale of the monitoring data to obtain suspicious scale data; Performing a suspicious accumulation analysis based on the suspicious time data and the suspicious scale data to calculate a suspicious accumulation value; The suspected accumulation value is compared with a preset dangerous accumulation standard to determine whether there is an accumulation risk.

[0011] As a further limitation of the technical solution of the embodiment of the present invention, when there is a pressure abnormality, a fault risk and / or an accumulation risk, performing direct alarm transmission and alarm feedback judgment, and when there is no alarm feedback, performing alarm transmission specifically includes the following steps: Generate a danger alarm signal when there is pressure abnormality, malfunction danger and / or accumulation danger; Get the alarm transmission address; Directly transmit the danger alarm signal to the alarm according to the alarm transmission address; After the preset feedback standard time, the alarm feedback judgment is carried out; When there is no alarm feedback, obtain wind power communication data and select coordinated wind power targets; The danger alarm signal is transmitted to the coordinated wind power target, and the danger alarm signal is transmitted and alarmed via the coordinated wind power target.

[0012] A multi-source heterogeneous data acquisition and processing system for wind power generation includes a multi-source point monitoring module, a pressure anomaly judgment module, a vibration and temperature analysis module, an accumulation risk judgment module, and an alarm transmission and processing module, wherein: The multi-source distribution monitoring module is used to perform periodic multi-source distribution monitoring of wind power itself according to the preset monitoring cycle and collect distribution monitoring data; A pressure anomaly judgment module is used to perform pressure analysis on the monitoring data of the distribution points to determine whether there is a pressure anomaly; A vibration and temperature analysis module is used to perform vibration and temperature analysis on the monitoring data of the distribution points to determine whether there is a risk of failure or a suspected risk; The accumulation risk judgment module is used to record suspicious time, analyze suspicious scale and suspicious accumulation when there is a suspected risk, calculate the suspicious accumulation value, and judge whether there is an accumulation risk; 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 accumulation danger, and to transfer alarm transmission when there is no alarm feedback.

[0013] As a further limitation of the technical solution of the embodiment of the present invention, the vibration temperature analysis module specifically includes: A range data acquisition unit, used to obtain a fault range and a suspicious range; a numerical value falling analysis unit, configured to perform a numerical value falling analysis of vibration and temperature on the monitoring data of the distribution points based on the fault range and the suspicious range, and record the numerical value falling results; a fault risk determination unit, configured to determine, based on the result of the numerical value falling into the fault range, that there is a fault risk; The suspicious risk determination unit is configured to determine that there is a suspicious risk when the value falls into a suspicious range according to the result of the value.

[0014] As a further limitation of the technical solution of the embodiment of the present invention, the accumulation risk judgment module specifically includes: A suspicious time recording unit is used to record suspicious time data when there is a suspected danger; a suspicious scale calculation unit, configured to perform suspicious scale calculation on the monitoring data based on the suspicious range to obtain suspicious scale data; a suspicious accumulation value calculation unit, configured to perform suspicious accumulation analysis based on the suspicious time data and the suspicious scale data, and calculate a suspicious accumulation value; The accumulation risk judgment unit is used to compare the suspicious accumulation value with a preset dangerous accumulation standard to judge whether there is an accumulation risk.

[0015] As a further limitation of the technical solution of the embodiment of the present invention, the alarm transmission processing module specifically includes: An alarm signal generating unit, configured to generate a danger alarm signal when there is a pressure anomaly, a malfunction hazard, and / or an accumulation hazard; An address acquisition unit, used for acquiring an alarm transmission address; A direct alarm transmission unit, configured to directly transmit the danger alarm signal to an alarm according to the alarm transmission address; An alarm feedback judgment unit is used to perform alarm feedback judgment after a preset feedback standard time; A coordinated wind power target selection unit, configured to obtain wind power communication data and select a coordinated wind power target when there is no alarm feedback; The alarm transmission unit is used to transmit the danger alarm signal to the coordinated wind power target, and transmit the danger alarm signal through the coordinated wind power target.

[0016] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention can record suspicious time, analyze suspicious scale and suspicious accumulation when there is a suspected danger, calculate the suspicious accumulation value, and judge whether there is an accumulation danger. It has the ability to predict and warn early signs of potential failures, avoiding the need for all wind power maintenance to be carried out in an emergency repair manner, reducing operation and maintenance costs and manpower investment, and avoiding long-term shutdown of wind turbines, thereby ensuring the continuous and stable operation of the wind farm and the overall power generation efficiency; (2) The present invention can perform alarm feedback judgment. When there is no alarm feedback, the present invention selects a coordinated wind power target to transmit the danger alarm signal. Thus, when the wind power itself has a wireless communication failure, the coordinated wind power target of wired communication can assist in signal transmission, ensuring that the danger alarm signal can be stably transmitted under special circumstances. (3) The present invention can perform pressure analysis, vibration analysis and temperature analysis on the monitoring data of the distribution points based on the edge computing technology of wind power itself, and make judgments on pressure anomalies, fault risks or suspected risks. When there are suspected risks, the suspicious accumulation values ​​can be calculated and compared to realize localized processing of data analysis, which can significantly reduce the centralized transmission of monitoring data and the cloud computing pressure, and can effectively reduce the computing and storage burden of the server. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of a multi-source heterogeneous data collection and processing method for wind power provided by an embodiment of the present invention is shown; Figure 2 The application architecture diagram of the multi-source heterogeneous data acquisition and processing system for wind power provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] It is understandable that in the existing technology, the multi-source heterogeneous data collection and processing of wind power usually compares the monitoring data according to the preset abnormal fault data, directly determines whether an abnormal fault has occurred, and then performs alarm processing. Identification and alarm can only be completed in clear and serious abnormal fault conditions. There is a lack of prediction and early warning capabilities for early potential fault signs, resulting in equipment maintenance having to take the form of emergency repairs. This not only increases operation and maintenance costs and manpower investment, but may also cause long-term shutdown of wind turbines, affecting the continuous and stable operation of wind farms and overall power generation efficiency.

[0020] To address the above-mentioned issues, the embodiments of the present invention disclose a multi-source heterogeneous data collection and processing method and system for wind power. The method and system periodically monitor the wind power system's multi-source locations according to a preset monitoring cycle to collect location monitoring data. The system then performs pressure analysis on the location monitoring data to determine whether there are pressure anomalies. The system also performs vibration and temperature analysis on the location monitoring data to determine whether there are fault risks or suspected risks. If there are suspected risks, the system records suspicious time, analyzes suspicious scales, and analyzes suspicious accumulation, calculates a suspicious accumulation value, and determines whether there is an accumulation risk. If there are pressure anomalies, fault risks, and / or accumulation risks, the system directly transmits an alarm and provides alarm feedback, while if there is no alarm feedback, the system transmits an alarm. The system can perform suspicious time, scale, and accumulation analysis, calculate a suspicious accumulation value, and determine whether there is an accumulation risk when there are suspected risks. The system has the ability to predict and warn early potential fault signs, avoiding the need for emergency repairs for all wind power maintenance, reducing operation and maintenance costs and manpower investment, and avoiding long-term downtime of wind turbines, thereby ensuring continuous and stable operation and overall power generation efficiency of the wind farm.

[0021] Specifically, Figure 1 The flowchart of the multi-source heterogeneous data collection and processing method applied to wind power provided by an embodiment of the present invention is shown.

[0022] In a preferred embodiment of the present invention, a method for collecting and processing multi-source heterogeneous data applied to wind power comprises the following steps: Step S101: Perform periodic multi-source monitoring of wind power itself according to a preset monitoring cycle, and collect monitoring data.

[0023] In an embodiment of the present invention, according to a preset monitoring cycle, multi-source monitoring instructions are periodically generated, and then the multi-source monitoring instructions are responded to, and the pressure distribution point monitoring, vibration distribution point monitoring and temperature distribution point monitoring of the wind power itself are carried out. The pressure monitoring data, vibration monitoring data and temperature monitoring data of the wind power itself are periodically collected, and the pressure monitoring data, vibration monitoring data and temperature monitoring data are comprehensively sorted to obtain distribution point monitoring data.

[0024] It is understandable that among the various structures of wind power, the gearbox structure is relatively complex, and the operating conditions are harsh and the load is variable. Therefore, in the embodiment of the present invention, the multi-source distribution point monitoring of wind power itself is mainly carried out on the wind power gearbox. Specifically: pressure distribution point monitoring requires monitoring of the lubricating oil inlet pressure, lubricating oil filtration pressure and oil pool pressure of the wind power gearbox; vibration distribution point monitoring requires monitoring of the bearing vibration and gear vibration of the wind power gearbox, wherein the bearing vibration includes low-speed bearing vibration and high-speed bearing vibration, etc., and the gear vibration includes first-level internal gear vibration and second-level internal gear vibration, etc.; temperature distribution point monitoring requires monitoring of the inner bearing temperature and outer bearing temperature of the wind power gearbox.

[0025] Specifically, in another preferred embodiment of the present invention, the periodic multi-source monitoring of wind power itself is performed according to a preset monitoring period, and the collection of monitoring data includes the following steps: Generate multi-source monitoring instructions periodically according to the preset monitoring cycle; In response to the multi-source monitoring instruction, the wind power plant itself is monitored at pressure points and pressure monitoring data is collected; In response to the multi-source monitoring instruction, the wind power plant itself is subjected to vibration point monitoring and vibration monitoring data is collected; In response to the multi-source monitoring instruction, the wind power plant itself is monitored at various temperature points and temperature monitoring data is collected; The pressure monitoring data, the vibration monitoring data and the temperature monitoring data are integrated to generate point monitoring data.

[0026] Furthermore, the multi-source heterogeneous data acquisition and processing method applied to wind power further includes the following steps: Step S102: Perform pressure analysis on the monitoring data to determine whether there is any pressure anomaly.

[0027] In an embodiment of the present invention, pressure standard data is obtained, and based on the pressure standard data, pressure value matching and comparison are performed on the distribution point monitoring data, and the pressure comparison result is recorded. Then, based on the pressure comparison result, it is determined whether there is a pressure anomaly. Specifically, when the pressure monitoring data in the distribution point monitoring data does not meet the pressure requirements corresponding to the pressure standard data, it is determined that there is a pressure anomaly.

[0028] It is understandable that, in the embodiment of the present invention, the pressure standard data include: lubricating oil inlet pressure greater than 0.75 bar, lubricating oil filtration pressure less than 3 bar, oil pool pressure greater than 1 bar, etc.

[0029] Specifically, in another preferred embodiment provided by the present invention, the pressure analysis of the monitoring data is performed to determine whether there is a pressure anomaly, which specifically includes the following steps: Obtain pressure standard data; Based on the pressure standard data, matching and comparing the pressure values ​​of the monitoring data at the distribution points, and recording the pressure comparison results; According to the pressure comparison result, it is determined whether there is a pressure abnormality.

[0030] Furthermore, the multi-source heterogeneous data acquisition and processing method applied to wind power further includes the following steps: Step S103: Perform vibration and temperature analysis on the monitoring data to determine whether there is a risk of failure or a suspected risk.

[0031] In an embodiment of the present invention, the fault range and suspicious range of vibration and temperature are obtained, and then based on the fault range and suspicious range, the vibration and temperature monitoring data in the point monitoring data are analyzed for the numerical values ​​falling into the range, and the numerical value falling results are recorded. Then, according to the numerical value falling results, the status is judged. Specifically, when the numerical value falls into the fault range, it is determined that there is a fault risk; and when the numerical value falls into the suspicious range, it is determined that there is a suspicious risk.

[0032] It can be understood that the fault range corresponds to the numerical range of vibration and temperature when the wind power has a clear and serious abnormal fault state; the suspicious range corresponds to the numerical range of vibration and temperature when the wind power has early potential fault signs.

[0033] Specifically, in another preferred embodiment provided by the present invention, the vibration and temperature analysis of the monitoring data to determine whether there is a fault risk or a suspected risk specifically includes the following steps: Obtain the fault scope and suspected scope; Based on the fault range and the suspicious range, performing a vibration and temperature numerical value fall-in analysis on the monitoring data of the distribution points, and recording the numerical value fall-in results; According to the result of the numerical value falling into the fault range, it is determined that there is a fault risk; According to the result of the numerical value falling into the suspicious range, it is determined that there is a suspicious risk.

[0034] Furthermore, the multi-source heterogeneous data acquisition and processing method applied to wind power further includes the following steps: Step S104: When there is a suspected danger, suspicious time recording, suspicious scale analysis and suspicious accumulation analysis are performed, and a suspicious accumulation value is calculated to determine whether there is an accumulation danger.

[0035] In an embodiment of the present invention, when it is determined that there is a suspicious danger, the start time of the suspicious danger is recorded to obtain suspicious time data, and based on the suspicious range, the vibration monitoring data and the temperature monitoring data in the distribution point monitoring data are calculated to obtain the suspicious scale data, and then a suspicious accumulation analysis is performed based on the suspicious time data and the suspicious scale data to calculate the suspicious accumulation value. Thereafter, the suspicious accumulation value is compared with a preset dangerous accumulation standard to determine whether there is an accumulation danger. Specifically, when the suspicious accumulation value is greater than the dangerous accumulation standard, it is determined that there is an accumulation danger; when the suspicious accumulation value is not greater than the dangerous accumulation standard, it is determined that there is no accumulation danger.

[0036] Specifically, in the embodiment of the present invention, the calculation formula for suspicious scale data is: ; ; in, For the vibration suspicious scale, is a suspicious temperature scale, is the current vibration value, is the vibration edge value, is the current temperature value, is the temperature edge value; The calculation formula for the suspected accumulation value is: ; in, is a suspicious accumulation value, is the start time, is the current time, is the preset accumulation calculation coefficient, For the vibration suspicious scale, is a suspicious temperature scale, yes of power, and , yes of Power.

[0037] 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 distribution point monitoring data; the vibration edge value and the temperature edge value are the range boundary values ​​in the suspicious range.

[0038] It is understandable that the calculation of the suspicious accumulation value is a time-accumulated process. As time goes by, the suspicious accumulation value becomes larger, and the potential fault symptom is more likely to turn into an actual fault.

[0039] It can be understood that the suspicious scale calculation is the process of calculating the boundary difference between vibration and temperature and the suspicious range based on the suspicious range, vibration monitoring data and temperature monitoring data. The calculated suspicious scale data reflects the degree of potential fault signs.

[0040] Specifically, in another preferred embodiment provided by the present invention, when there is a suspected risk, performing suspicious time recording, suspicious scale analysis and suspicious accumulation analysis, calculating the suspicious accumulation value, and determining whether there is an accumulation risk specifically include the following steps: When there is a suspected danger, record the suspicious time data; Based on the suspicious range, calculating the suspicious scale of the monitoring data to obtain suspicious scale data; Performing a suspicious accumulation analysis based on the suspicious time data and the suspicious scale data to calculate a suspicious accumulation value; The suspected accumulation value is compared with a preset dangerous accumulation standard to determine whether there is an accumulation risk.

[0041] Furthermore, the multi-source heterogeneous data acquisition and processing method applied to wind power further includes the following steps: Step S105: When there is pressure anomaly, failure risk and / or accumulation risk, direct alarm transmission and alarm feedback judgment are performed; when there is no alarm feedback, transfer alarm transmission is performed.

[0042] In an embodiment of the present invention, in the event of pressure anomalies, failure hazards and / or accumulation hazards, a danger alarm signal is generated, and an alarm transmission address is obtained. The danger alarm signal is then directly transmitted as an alarm via wireless communication according to the alarm transmission address, and an alarm feedback judgment is performed after a preset feedback standard time. If it is determined that there is no alarm feedback, wind power communication data recording the wired communication relationship between wind power is obtained, and a collaborative wind power target with wired communication connection and normal wireless communication is selected. The danger alarm signal is then transmitted to the collaborative wind power target via wired communication, and then the danger alarm signal is transmitted as an alarm via wireless communication of the collaborative wind power target, so that in the event of a failure in the wireless communication of the wind power itself, the danger alarm signal can still be transmitted to the alarm transmission address.

[0043] It is understandable that if the direct alarm transmission of the wireless communication is normal, an alarm feedback will be received. Therefore, in the absence of an alarm feedback, it indicates that the direct alarm transmission of the wireless communication is abnormal.

[0044] Specifically, in another preferred embodiment provided by the present invention, when there is a pressure abnormality, a fault risk, and / or an accumulation risk, performing direct alarm transmission and alarm feedback judgment, and when there is no alarm feedback, performing alarm transmission specifically includes the following steps: Generate a danger alarm signal when there is pressure abnormality, malfunction danger and / or accumulation danger; Get the alarm transmission address; Directly transmit the danger alarm signal to the alarm according to the alarm transmission address; After the preset feedback standard time, the alarm feedback judgment is carried out; When there is no alarm feedback, obtain wind power communication data and select coordinated wind power targets; The danger alarm signal is transmitted to the coordinated wind power target, and the danger alarm signal is transmitted and alarmed via the coordinated wind power target.

[0045] Further, Figure 2 The application architecture diagram of the multi-source heterogeneous data acquisition and processing system for wind power provided by an embodiment of the present invention is shown.

[0046] Specifically, in another preferred embodiment provided by the present invention, a multi-source heterogeneous data acquisition and processing system applied to wind power includes: The multi-source distribution monitoring module 101 is used to perform periodic multi-source distribution monitoring of wind power itself according to a preset monitoring period and collect distribution monitoring data.

[0047] In an embodiment of the present invention, the multi-source distribution monitoring module 101 periodically generates multi-source monitoring instructions according to a preset monitoring cycle, and then responds to the multi-source monitoring instructions to perform pressure distribution monitoring, vibration distribution monitoring and temperature distribution monitoring of the wind power itself, periodically collects the pressure monitoring data, vibration monitoring data and temperature monitoring data of the wind power itself, and comprehensively organizes the pressure monitoring data, vibration monitoring data and temperature monitoring data to obtain distribution monitoring data.

[0048] The pressure anomaly judgment module 102 is used to perform pressure analysis on the monitoring data to determine whether there is a pressure anomaly.

[0049] In an embodiment of the present invention, the pressure anomaly judgment module 102 obtains pressure standard data, matches and compares the pressure values ​​of the distribution point monitoring data based on the pressure standard data, records the pressure comparison results, and then judges whether there is a pressure anomaly based on the pressure comparison results. Specifically, when the pressure monitoring data in the distribution point monitoring data does not meet the pressure requirements corresponding to the pressure standard data, it is determined that there is a pressure anomaly.

[0050] The vibration and temperature analysis module 103 is used to perform vibration and temperature analysis on the monitoring data to determine whether there is a risk of failure or a suspected risk.

[0051] In an embodiment of the present invention, the vibration and temperature analysis module 103 obtains the fault range and suspicious range of vibration and temperature, and then based on the fault range and suspicious range, performs a vibration and temperature numerical value fall analysis on the vibration monitoring data and temperature monitoring data in the point monitoring data, records the numerical value fall results, and then judges the status according to the numerical value fall results. Specifically, when the numerical value falls into the fault range, it is determined that there is a fault risk; and when the numerical value falls into the suspicious range, it is determined that there is a suspicious risk.

[0052] Specifically, in another preferred embodiment provided by the present invention, the vibration temperature analysis module 103 specifically includes: A range data acquisition unit, used to obtain a fault range and a suspicious range; a numerical value falling analysis unit, configured to perform a numerical value falling analysis of vibration and temperature on the monitoring data of the distribution points based on the fault range and the suspicious range, and record the numerical value falling results; a fault risk determination unit, configured to determine, based on the result of the numerical value falling into the fault range, that there is a fault risk; The suspicious risk determination unit is configured to determine that there is a suspicious risk when the value falls into a suspicious range according to the result of the value.

[0053] Furthermore, the multi-source heterogeneous data acquisition and processing system applied to wind power also includes: The accumulation risk judgment module 104 is used to perform suspicious time recording, suspicious scale analysis and suspicious accumulation analysis when there is a suspected risk, calculate the suspicious accumulation value, and judge whether there is an accumulation risk.

[0054] In an embodiment of the present invention, when it is determined that there is a suspicious danger, the accumulation danger judgment module 104 records the start time of the suspicious danger, obtains the suspicious time data, and based on the suspicious range, performs suspicious scale calculation on the vibration monitoring data and the temperature monitoring data in the distribution point monitoring data to obtain the suspicious scale data, and then performs suspicious accumulation analysis based on the suspicious time data and the suspicious scale data to calculate the suspicious accumulation value. Thereafter, the suspicious accumulation value is compared with the preset dangerous accumulation standard to determine whether there is an accumulation danger. Specifically, when the suspicious accumulation value is greater than the dangerous accumulation standard, it is determined that there is an accumulation danger; when the suspicious accumulation value is not greater than the dangerous accumulation standard, it is determined that there is no accumulation danger.

[0055] Specifically, in the embodiment of the present invention, the calculation formula for suspicious scale data is: ; ; in, For the vibration suspicious scale, is a suspicious temperature scale, is the current vibration value, is the vibration edge value, is the current temperature value, is the temperature edge value; The calculation formula for the suspected accumulation value is: ; in, is a suspicious accumulation value, is the start time, is the current time, is the preset accumulation calculation coefficient, For the vibration suspicious scale, is a suspicious temperature scale, yes of power, and , yes of Power.

[0056] Specifically, in another preferred embodiment provided by the present invention, the accumulation risk judgment module 104 specifically includes: A suspicious time recording unit is used to record suspicious time data when there is a suspected danger; a suspicious scale calculation unit, configured to perform suspicious scale calculation on the monitoring data based on the suspicious range to obtain suspicious scale data; a suspicious accumulation value calculation unit, configured to perform suspicious accumulation analysis based on the suspicious time data and the suspicious scale data, and calculate a suspicious accumulation value; The accumulation risk judgment unit is used to compare the suspicious accumulation value with a preset dangerous accumulation standard to judge whether there is an accumulation risk.

[0057] Furthermore, the multi-source heterogeneous data acquisition and processing system applied to wind power also includes: The alarm transmission processing module 105 is used to perform direct alarm transmission and alarm feedback judgment when there is pressure abnormality, fault risk and / or accumulation risk, and to perform transfer alarm transmission when there is no alarm feedback.

[0058] In an embodiment of the present invention, in the case of pressure anomalies, failure hazards and / or accumulation hazards, the alarm transmission processing module 105 generates a danger alarm signal and obtains an alarm transmission address, and then performs direct alarm transmission of the danger alarm signal by wireless communication according to the alarm transmission address, and performs alarm feedback judgment after a preset feedback standard time. When it is determined that there is no alarm feedback, wind power communication data recording the wired communication relationship between wind power is obtained, and a collaborative wind power target with wired communication connection and normal wireless communication is selected, and then the danger alarm signal is transmitted to the collaborative wind power target through wired communication, and then the danger alarm signal is transmitted through the wireless communication of the collaborative wind power target, so that in the case of a failure in the wireless communication of the wind power itself, the danger alarm signal can still be transmitted to the alarm transmission address.

[0059] Specifically, in another preferred embodiment provided by the present invention, the alarm transmission processing module 105 specifically includes: An alarm signal generating unit, configured to generate a danger alarm signal when there is a pressure anomaly, a malfunction hazard, and / or an accumulation hazard; An address acquisition unit, used for acquiring an alarm transmission address; A direct alarm transmission unit, configured to directly transmit the danger alarm signal to an alarm according to the alarm transmission address; An alarm feedback judgment unit is used to perform alarm feedback judgment after a preset feedback standard time; A coordinated wind power target selection unit, configured to obtain wind power communication data and select a coordinated wind power target when there is no alarm feedback; The alarm transmission unit is used to transmit the danger alarm signal to the coordinated wind power target, and transmit the danger alarm signal through the coordinated wind power target.

[0060] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A multi-source heterogeneous data acquisition and processing method for wind power, characterized in that: The method specifically comprises the following steps: According to the preset monitoring cycle, periodic multi-source monitoring of wind power itself is carried out to collect monitoring data; Performing pressure analysis on the monitoring data to determine whether there is any pressure anomaly; Performing vibration and temperature analysis on the monitoring data of the distribution points to determine whether there is a risk of failure or a suspected risk; When there is a suspected danger, conduct suspicious time record, suspicious scale analysis and suspicious accumulation analysis, calculate the suspicious accumulation value, and determine whether there is an accumulation danger; When there is a pressure anomaly, a malfunction hazard and / or an accumulation hazard, direct alarm transmission and alarm feedback judgment are performed; when there is no alarm feedback, a transfer alarm transmission is performed.

2. The multi-source heterogeneous data acquisition and processing method for wind power according to claim 1 is characterized in that: The method of performing periodic multi-source monitoring of wind power itself according to a preset monitoring cycle and collecting monitoring data of the wind power generation stations specifically includes the following steps: Generate multi-source monitoring instructions periodically according to the preset monitoring cycle; In response to the multi-source monitoring instruction, the wind power plant itself is monitored at pressure points and pressure monitoring data is collected; In response to the multi-source monitoring instruction, the wind power plant itself is subjected to vibration point monitoring and vibration monitoring data is collected; In response to the multi-source monitoring instruction, the wind power plant itself is monitored at various temperature points and temperature monitoring data is collected; The pressure monitoring data, the vibration monitoring data and the temperature monitoring data are integrated to generate point monitoring data.

3. The multi-source heterogeneous data acquisition and processing method for wind power according to claim 1 is characterized in that: The pressure analysis of the monitoring data is performed to determine whether there is a pressure anomaly, specifically comprising the following steps: Obtain pressure standard data; Based on the pressure standard data, matching and comparing the pressure values ​​of the monitoring data at the distribution points, and recording the pressure comparison results; According to the pressure comparison result, it is determined whether there is a pressure abnormality.

4. The multi-source heterogeneous data acquisition and processing method for wind power according to claim 1 is characterized in that: The vibration and temperature analysis of the monitoring data to determine whether there is a fault risk or a suspected risk specifically includes the following steps: Obtain the fault scope and suspicious scope; Based on the fault range and the suspicious range, performing a vibration and temperature numerical value fall-in analysis on the monitoring data of the distribution points, and recording the numerical value fall-in results; According to the result of the numerical value falling into the fault range, it is determined that there is a fault risk; According to the result of the numerical value falling into the suspicious range, it is determined that there is a suspicious risk.

5. The multi-source heterogeneous data acquisition and processing method for wind power according to claim 4 is characterized in that: When there is a suspected danger, the steps of recording the suspected time, analyzing the suspected scale and analyzing the suspected accumulation, calculating the suspected accumulation value, and determining whether there is an accumulation danger specifically include the following steps: When there is a suspected danger, record the suspicious time data; Based on the suspicious range, calculating the suspicious scale of the monitoring data to obtain suspicious scale data; Performing a suspicious accumulation analysis based on the suspicious time data and the suspicious scale data to calculate a suspicious accumulation value; The suspected accumulation value is compared with a preset dangerous accumulation standard to determine whether there is an accumulation risk.

6. The multi-source heterogeneous data acquisition and processing method for wind power according to claim 1 is characterized in that: When there is a pressure anomaly, a fault risk, and / or an accumulation risk, direct alarm transmission and alarm feedback judgment are performed, and when there is no alarm feedback, the alarm transmission is performed, specifically including the following steps: Generate a danger alarm signal when there is pressure abnormality, malfunction danger and / or accumulation danger; Get the alarm transmission address; Directly transmit the danger alarm signal to the alarm according to the alarm transmission address; After the preset feedback standard time, the alarm feedback judgment is carried out; When there is no alarm feedback, obtain wind power communication data and select coordinated wind power targets; The danger alarm signal is transmitted to the coordinated wind power target, and the danger alarm signal is transmitted and alarmed via the coordinated wind power target.

7. A multi-source heterogeneous data acquisition and processing system applied to wind power, characterized by: The system includes a multi-source monitoring module, a pressure anomaly judgment module, a vibration temperature analysis module, an accumulation risk judgment module, and an alarm transmission processing module, wherein: The multi-source distribution monitoring module is used to perform periodic multi-source distribution monitoring of wind power itself according to the preset monitoring cycle and collect distribution monitoring data; A pressure anomaly judgment module is used to perform pressure analysis on the monitoring data of the distribution points to determine whether there is a pressure anomaly; A vibration and temperature analysis module is used to perform vibration and temperature analysis on the monitoring data of the distribution points to determine whether there is a risk of failure or a suspected risk; The accumulation risk judgment module is used to record suspicious time, analyze suspicious scale and suspicious accumulation when there is a suspected risk, calculate the suspicious accumulation value, and judge whether there is an accumulation risk; 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 accumulation danger, and to transfer alarm transmission when there is no alarm feedback.

8. The multi-source heterogeneous data acquisition and processing system for wind power according to claim 7 is characterized in that: The vibration temperature analysis module specifically includes: A range data acquisition unit, used to obtain a fault range and a suspicious range; a numerical value falling analysis unit, configured to perform a numerical value falling analysis of vibration and temperature on the monitoring data of the distribution points based on the fault range and the suspicious range, and record the numerical value falling results; a fault risk determination unit, configured to determine, based on the result of the numerical value falling into the fault range, that there is a fault risk; The suspicious risk determination unit is configured to determine that there is a suspicious risk when the value falls into a suspicious range according to the result of the value.

9. The multi-source heterogeneous data acquisition and processing system for wind power according to claim 8, characterized in that: The accumulation risk judgment module specifically includes: A suspicious time recording unit is used to record suspicious time data when there is a suspected danger; a suspicious scale calculation unit, configured to perform suspicious scale calculation on the monitoring data based on the suspicious range to obtain suspicious scale data; a suspicious accumulation value calculation unit, configured to perform suspicious accumulation analysis based on the suspicious time data and the suspicious scale data, and calculate a suspicious accumulation value; The accumulation risk judgment unit is used to compare the suspicious accumulation value with a preset dangerous accumulation standard to judge whether there is an accumulation risk.

10. The multi-source heterogeneous data acquisition and processing system for wind power according to claim 7, characterized in that: The alarm transmission processing module specifically includes: An alarm signal generating unit, configured to generate a danger alarm signal when there is a pressure anomaly, a malfunction hazard, and / or an accumulation hazard; An address acquisition unit, used for acquiring an alarm transmission address; A direct alarm transmission unit, configured to directly transmit the danger alarm signal to an alarm according to the alarm transmission address; An alarm feedback judgment unit is used to perform alarm feedback judgment after a preset feedback standard time; A coordinated wind power target selection unit, configured to obtain wind power communication data and select a coordinated wind power target when there is no alarm feedback; The alarm transmission unit is used to transmit the danger alarm signal to the coordinated wind power target, and transmit the danger alarm signal through the coordinated wind power target.

Images