Comprehensive monitoring system for land wind power plant

Abstract

The invention provides a comprehensive monitoring system for a land wind power plant, and relates to the technical field of wind power plant monitoring. A data monitoring module is used for obtaining all energy consumption data processing values, all environmental risk data processing values and all historical fault data processing values of the land wind power plant at the current moment; the evaluation value acquisition module is used for acquiring an energy consumption evaluation value, an environment risk evaluation value and a fault evaluation value of the land wind power plant at the current moment; the monitoring node acquisition module is used for acquiring all monitoring nodes in a preset monitoring time period of the land wind power plant; and the monitoring result output module is used for obtaining a remote monitoring result of the land wind power plant based on all the monitoring nodes in the preset monitoring time period of the land wind power plant. According to the invention, comprehensive monitoring of the wind power plant can be realized, real-time feedback is provided through data analysis, potential risks and faults can be timely identified, and the operation efficiency and safety of the wind power plant are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of wind farm monitoring, and in particular relates to a comprehensive monitoring system for a land wind farm. Background Art

[0002] The land wind farm integrated monitoring system is a system used for all-round monitoring of the land wind farm so as to realize comprehensive monitoring and management of the wind farm. The existing land wind farm integrated monitoring system does not have a system that can accurately screen out all monitoring nodes within the preset monitoring time period of the land wind farm, and the one-to-one comparison and analysis of the data reduces the processing efficiency of the monitoring system. Summary of the invention

[0003] The present invention provides a comprehensive monitoring system for a land wind farm, which is used to solve at least one of the technical problems mentioned above.

[0004] In order to solve the above technical problems, the present invention discloses a comprehensive monitoring system for a land wind farm, comprising: A data monitoring module, for obtaining a processed value of all energy consumption data, a processed value of all environmental risk data and a processed value of all historical fault data of the land wind farm at the current moment based on all energy consumption data, all environmental risk data and all historical fault data of the land wind farm at the current moment within a preset monitoring time period; An evaluation value acquisition module, used to obtain an energy consumption evaluation value, an environmental risk evaluation value and a fault evaluation value of the land wind farm at the current moment based on all energy consumption data processing values, all environmental risk data processing values ​​and all historical fault data processing values ​​of the land wind farm at the current moment; A monitoring node acquisition module is used to obtain a three-dimensional node monitoring connection diagram of the land wind farm in a preset monitoring time period based on the energy consumption assessment value, environmental risk assessment value and fault assessment value of the land wind farm at a certain time, and obtain all monitoring nodes in the preset monitoring time period of the land wind farm based on the three-dimensional node monitoring connection diagram of the land wind farm; The monitoring result output module is used to obtain the remote monitoring result of the land wind farm based on all monitoring nodes within a preset monitoring time period of the land wind farm.

[0005] Preferably, the data monitoring module includes: The data acquisition submodule is used to obtain all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment; Among them, all energy consumption data include power consumption of booster stations, power consumption of fans and energy consumption of cooling systems of power plants; All environmental risk data include the number of natural disasters, the risk level of natural disasters, the number of man-made damages and the risk level of man-made damages; All historical fault data include the number of new wind turbine faults, wind turbine fault repair difficulty level, the number of new booster station faults and booster station downtime duration; The data processing submodule is used to process all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment, and obtain the processed values ​​of all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment.

[0006] Preferably, the data processing submodule includes: An energy consumption data processing value processing unit is used to obtain the booster station power consumption data processing value, the fan power consumption data processing value and the power plant cooling system energy consumption data processing value of the land wind farm at the current moment based on the booster station power consumption, the fan power consumption and the power plant cooling system energy consumption data of the land wind farm at the current moment; An environmental risk data processing value processing unit is used to obtain a natural disaster data processing value and a man-made damage data processing value of the land wind farm at the current moment based on the number of natural disasters, the natural disaster risk level, the number of man-made damages and the man-made damage risk level of the land wind farm at the current moment; The historical fault data processing value processing unit is used to obtain the wind turbine fault data processing value and the booster station fault data processing value of the land wind farm at the current moment based on the number of new wind turbine faults, the wind turbine fault repair difficulty level, the number of new booster station faults and the booster station shutdown duration data of the land wind farm at the current moment.

[0007] Preferably, the processed value of the power consumption data of the booster station of the onshore wind farm at the i-th moment is: (1); among which, is the processed value of the power consumption data of the booster station of the land wind farm at the i-th moment, In is the logarithm with base e, The importance ratio of power consumption data of booster stations to the total energy consumption data. is the power consumption of the booster station of the land wind farm at the i-th moment, and n is the number of preset moments in the preset monitoring time period; The wind turbine power consumption data processing value of the onshore wind farm at the i-th moment: (2) Among them, is the processed value of wind turbine power consumption data of the onshore wind farm at the i-th moment, is the importance ratio of wind turbine power consumption data to the total energy consumption data, is the wind turbine power consumption value of the land wind farm at the i-th moment; (3); among which, is the energy consumption data processing value of the cooling system of the onshore wind farm at the i-th moment, The importance ratio of the energy consumption data of the power plant cooling system to the total energy consumption data. is the energy consumption value of the cooling system of the onshore wind farm at the i-th moment.

[0008] 5. The integrated monitoring system for a land wind farm according to claim 4, characterized in that: The natural disaster data processing value of the land wind farm at the i-th moment: (4); among which, is the natural disaster data processing value of the land wind farm at the i-th moment, is the importance ratio of natural disaster data to all environmental risk data, is the natural disaster risk level of the land wind farm at the i-th moment, is the number of natural disasters in the land wind farm at the i-th moment, In is the logarithm with base e, and n is the number of preset moments in the preset monitoring time period; The processed value of man-made damage data of onshore wind farm at the i-th moment: (5); among which, is the processing value of the man-made damage data of the onshore wind farm at the i-th moment, is the importance ratio of man-made damage data to all environmental risk data, is the risk level of man-made damage to the onshore wind farm at the i-th moment, is the number of man-made damages to the onshore wind farm at the i-th moment.

[0009] Preferably, the wind turbine fault data processing value of the onshore wind farm at the i-th moment is: (6); among which, is the wind turbine fault data processing value of the onshore wind farm at the i-th moment, is the importance ratio of wind turbine failure data to all environmental risk data, is the difficulty level of wind turbine fault maintenance in the onshore wind farm at the i-th moment, is the number of newly added wind turbine failures in the land wind farm at the i-th moment, In is the logarithm with base e, and n is the number of preset moments in the preset monitoring time period; The fault data processing value of the booster station of the onshore wind farm at the i-th moment: (7); is the fault data processing value of the booster station of the onshore wind farm at the i-th moment, is the importance ratio of booster station failure data to all environmental risk data, is the shutdown duration of the booster station of the onshore wind farm at the i-th moment, is the number of new booster station failures in the onshore wind farm at the i-th moment.

[0010] Preferably, based on all energy consumption data processing values, all environmental risk data processing values ​​and all historical fault data processing values ​​of the onshore wind farm at the current moment, the energy consumption assessment value, environmental risk assessment value and fault assessment value of the onshore wind farm at the current moment are obtained: (8); among them, is the energy consumption assessment value of the land wind farm at the i-th moment, ) is the maximum value of the power consumption of the booster station within the preset monitoring time period, e is a natural number, and its value is 2.71. ) is the maximum value of the fan power consumption value within the preset monitoring time period, The maximum value of the energy consumption of the power plant cooling system within the preset monitoring time period; (9); among them, is the environmental risk assessment value of the onshore wind farm at the i-th moment, is the maximum value of the product of the natural disaster risk level of the land wind farm and the number of natural disasters at the i-th moment, is the maximum value of the product of the man-made damage risk level and the number of man-made damages of the onshore wind farm at the i-th moment; (10); among which, is the fault assessment value of the onshore wind farm at the i-th moment, is the maximum value of the product of the difficulty level of wind turbine fault maintenance and the number of new wind turbine faults in the onshore wind farm at the i-th moment, It is the maximum value of the product of the shutdown duration of the artificial booster station in the onshore wind farm and the number of new booster station failures at the i-th moment.

[0011] Preferably, the monitoring node acquisition module includes: A coordinate determination submodule is used to obtain a marked coordinate point of the land wind farm at the current moment by taking the energy consumption assessment value of the land wind farm at the current moment as the horizontal coordinate value, the environmental risk assessment value of the corresponding land wind farm at the current moment as the vertical coordinate value, and the fault assessment value of the corresponding land wind farm at the current moment as the vertical coordinate value; The upper and lower limit preset submodule is used to preset the minimum energy consumption assessment value, the minimum environmental risk assessment value, the minimum fault assessment value, the maximum energy consumption assessment value, the maximum environmental risk assessment value and the maximum fault assessment value at the current moment; A reference coordinate determination submodule is used to obtain the lower limit mark coordinate point of the land wind farm at the current moment by taking the minimum energy consumption assessment value, the minimum environmental risk assessment value and the minimum fault assessment value of the land wind farm at the current moment as the horizontal coordinate value, the vertical coordinate value and the vertical coordinate value respectively; The maximum energy consumption assessment value, the maximum environmental risk assessment value and the maximum fault assessment value of the land wind farm at the current moment are respectively used as the horizontal coordinate value, the vertical coordinate value and the vertical coordinate value to obtain the upper limit mark coordinate point of the land wind farm at the current moment; A connection diagram construction submodule is used to connect the marked coordinate points at several moments in a preset monitoring time period in a time sequence to form a three-dimensional node monitoring connection line for a land wind farm, and to connect the lower limit marked coordinate points at several moments in a preset monitoring time period in a time sequence to form a lower limit connection line for three-dimensional node monitoring of a land wind farm, and to connect the upper limit marked coordinate points at several moments in a preset monitoring time period in a time sequence to form an upper limit connection line for three-dimensional node monitoring of a land wind farm, and finally obtain a three-dimensional node monitoring connection diagram for a land wind farm in a preset monitoring time period; The node analysis submodule is used to obtain all monitoring nodes within a preset monitoring time period of the land wind farm based on the three-dimensional node monitoring connection diagram of the land wind farm.

[0012] Preferably, the node analysis submodule includes: An intersection determination unit, used to determine the intersection of the onshore wind farm three-dimensional node monitoring connection line, the onshore wind farm three-dimensional node monitoring lower limit connection line, and the onshore wind farm three-dimensional node monitoring upper limit connection line; A distance determination unit is used to determine the distance from the marked coordinate point on the three-dimensional node monitoring connection line of the land wind farm to the corresponding intersection point at a moment before and a moment after the intersection point, and obtain the auxiliary analysis distance 1 and the auxiliary analysis distance 2; The monitoring node determination unit takes the marked coordinate point corresponding to the smaller distance between the auxiliary analysis distance 1 and the auxiliary analysis distance 2 as the monitoring node.

[0013] Preferably, the monitoring result output module includes: A monitoring node evaluation value acquisition unit is used to acquire the energy consumption evaluation value, environmental risk evaluation value and fault evaluation value of the monitoring node at the time corresponding to the monitoring node, and use them as the monitoring node energy consumption evaluation value, the monitoring node environmental risk evaluation value and the monitoring node fault evaluation value; The abnormality severity calculation unit uses the sum of the monitoring node energy consumption assessment value, the monitoring node environmental risk assessment value and the monitoring node fault assessment value as a comprehensive abnormality severity assessment value; The monitoring result output unit, when the comprehensive abnormality severity evaluation value of the monitoring node is less than the preset comprehensive abnormality severity evaluation value, the monitoring result is normal operation; When the comprehensive abnormality severity assessment value of the monitoring node is greater than or equal to the preset comprehensive abnormality severity assessment value, the monitoring result is an operation abnormality, and the monitoring node energy consumption assessment value, monitoring node environmental risk assessment value and monitoring node fault assessment value corresponding to the monitoring node are output as monitoring results.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention monitors the energy consumption, environmental risks and fault conditions of land wind farms in real time through a data monitoring module, an evaluation value acquisition module, a monitoring node acquisition module and a monitoring result output module. By processing and analyzing these data, the system can generate a three-dimensional node monitoring connection diagram of the power farm and output remote monitoring results, so as to realize comprehensive monitoring and management of the wind farm. The present invention can achieve comprehensive monitoring of wind farms, provide real-time feedback through data analysis, help to timely identify potential risks and faults, and improve the operational efficiency and safety of wind farms. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a schematic diagram of the comprehensive monitoring system of the land wind farm of the present invention. DETAILED DESCRIPTION

[0016] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0017] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0018] The present invention provides the following embodiments Example 1 The embodiment of the present invention provides a comprehensive monitoring system for a land wind farm, such as Figure 1 As shown, including: A data monitoring module, for obtaining a processed value of all energy consumption data, a processed value of all environmental risk data and a processed value of all historical fault data of the land wind farm at the current moment based on all energy consumption data, all environmental risk data and all historical fault data of the land wind farm at the current moment within a preset monitoring time period; An evaluation value acquisition module, used to obtain an energy consumption evaluation value, an environmental risk evaluation value and a fault evaluation value of the land wind farm at the current moment based on all energy consumption data processing values, all environmental risk data processing values ​​and all historical fault data processing values ​​of the land wind farm at the current moment; A monitoring node acquisition module is used to obtain a three-dimensional node monitoring connection diagram of the land wind farm in a preset monitoring time period based on the energy consumption assessment value, environmental risk assessment value and fault assessment value of the land wind farm at a certain time, and obtain all monitoring nodes in the preset monitoring time period of the land wind farm based on the three-dimensional node monitoring connection diagram of the land wind farm; The monitoring result output module is used to obtain the remote monitoring result of the land wind farm based on all monitoring nodes within a preset monitoring time period of the land wind farm.

[0019] The working principle and beneficial effects of the above technical solution are as follows: the present invention monitors the energy consumption, environmental risks and fault conditions of the land wind farm in real time through the data monitoring module, the evaluation value acquisition module, the monitoring node acquisition module and the monitoring result output module. By processing and analyzing these data, the system can generate a three-dimensional node monitoring connection diagram of the power farm and output the remote monitoring results, so as to realize comprehensive monitoring and management of the wind farm; The present invention can achieve comprehensive monitoring of wind farms, provide real-time feedback through data analysis, help to timely identify potential risks and faults, and improve the operational efficiency and safety of wind farms.

[0020] Example 2 Based on Example 1, the data monitoring module includes: The data acquisition submodule is used to obtain all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment; Among them, all energy consumption data include power consumption of booster stations, power consumption of fans and energy consumption of cooling systems of power plants; All environmental risk data include the number of natural disasters, the risk level of natural disasters, the number of man-made damages and the risk level of man-made damages; All historical fault data include the number of new wind turbine faults, wind turbine fault repair difficulty level, the number of new booster station faults and booster station downtime duration; The data processing submodule is used to process all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment, and obtain the processed values ​​of all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment.

[0021] The working principle and beneficial effects of the above technical solution are as follows: the data monitoring module is refined into a data acquisition submodule and a data processing submodule to realize the detailed data collection and processing of energy consumption, environmental risks and historical faults. The refined data processing process enhances the accuracy and data analysis capabilities of the monitoring system, and provides support for subsequent evaluation and decision-making. Through the refined monitoring and processing of different data sources of the wind farm, the accuracy and real-time nature of the monitoring data are improved, so that the various operating indicators of the wind farm can be better evaluated, problems can be discovered in time and measures can be taken.

[0022] Example 3 Based on Example 2, the data processing submodule includes: An energy consumption data processing value processing unit is used to obtain the booster station power consumption data processing value, the fan power consumption data processing value and the power plant cooling system energy consumption data processing value of the land wind farm at the current moment based on the booster station power consumption, the fan power consumption and the power plant cooling system energy consumption data of the land wind farm at the current moment; An environmental risk data processing value processing unit is used to obtain a natural disaster data processing value and a man-made damage data processing value of the land wind farm at the current moment based on the number of natural disasters, the natural disaster risk level, the number of man-made damages and the man-made damage risk level of the land wind farm at the current moment; The historical fault data processing value processing unit is used to obtain the wind turbine fault data processing value and the booster station fault data processing value of the land wind farm at the current moment based on the number of new wind turbine faults, the wind turbine fault repair difficulty level, the number of new booster station faults and the booster station shutdown duration data of the land wind farm at the current moment.

[0023] The working principle and beneficial effects of the above technical solution are as follows: the data processing submodule is further subdivided into processing units for different data types, which process energy consumption, environmental risks and historical fault data respectively. By classifying and processing different types of data, corresponding processing values ​​are obtained, which improves the refinement of data processing and ensures the accuracy of evaluation results. Through specialized processing of each type of data, the system can more accurately analyze the impact of each data and provide more detailed and in-depth monitoring results, thereby improving the accuracy and management level of wind farm operation.

[0024] Example 4 Based on Example 3, the power consumption data processing value of the booster station of the onshore wind farm at the i-th moment is: (1); among which, is the processed value of the power consumption data of the booster station of the land wind farm at the i-th moment, In is the logarithm with base e, The importance ratio of power consumption data of booster stations to the total energy consumption data. is the power consumption of the booster station of the land wind farm at the i-th moment, and n is the number of preset moments in the preset monitoring time period; The wind turbine power consumption data processing value of the onshore wind farm at the i-th moment: (2) Among them, is the processed value of wind turbine power consumption data of the onshore wind farm at the i-th moment, is the importance ratio of wind turbine power consumption data to the total energy consumption data, is the wind turbine power consumption value of the land wind farm at the i-th moment; (3); among which, is the energy consumption data processing value of the cooling system of the onshore wind farm at the i-th moment, The importance ratio of the energy consumption data of the power plant cooling system to the total energy consumption data. is the energy consumption value of the cooling system of the onshore wind farm at the i-th moment; The natural disaster data processing value of the land wind farm at the i-th moment: (4); among which, is the natural disaster data processing value of the land wind farm at the i-th moment, is the importance ratio of natural disaster data to all environmental risk data, is the natural disaster risk level of the land wind farm at the i-th moment, is the number of natural disasters in the land wind farm at the i-th moment, In is the logarithm with base e, and n is the number of preset moments in the preset monitoring time period; The processed value of man-made damage data of onshore wind farm at the i-th moment: (5); among which, is the processing value of the man-made damage data of the onshore wind farm at the i-th moment, is the importance ratio of man-made damage data to all environmental risk data, is the risk level of man-made damage to the onshore wind farm at the i-th moment, is the number of man-made damages to the onshore wind farm at the i-th moment; The wind turbine fault data processing value of the onshore wind farm at the i-th moment: (6); among which, is the wind turbine fault data processing value of the onshore wind farm at the i-th moment, is the importance ratio of wind turbine failure data to all environmental risk data, is the difficulty level of wind turbine fault maintenance in the onshore wind farm at the i-th moment, is the number of newly added wind turbine failures in the land wind farm at the i-th moment, In is the logarithm with base e, and n is the number of preset moments in the preset monitoring time period; The fault data processing value of the booster station of the onshore wind farm at the i-th moment: (7); is the fault data processing value of the booster station of the onshore wind farm at the i-th moment, is the importance ratio of booster station failure data to all environmental risk data, is the shutdown duration of the booster station of the onshore wind farm at the i-th moment, is the number of new booster station failures in the onshore wind farm at the i-th moment.

[0025] The working principle and beneficial effects of the above technical solution are as follows: various types of data are standardized using mathematical formulas to obtain the data processing values ​​at each moment, the processing values ​​of each data item are quantified, and the importance ratio and logarithmic calculation methods are introduced so that the processing value of each data item can better reflect its impact on the overall monitoring results. In addition, historical fault data, natural disaster risks, etc. are processed in detail, and logarithmic functions are used to balance the weights of various data. This design enhances the accuracy and rationality of data processing, and can more accurately evaluate the operating status at each moment. At the same time, scientific evaluations of different types of risks are made, which helps to improve the safety and economic benefits of wind farms. Data standardization increases the comparability between different data, making the calculation of subsequent evaluation values ​​more reasonable and reliable.

[0026] Example 5 On the basis of Example 4, based on all energy consumption data processing values, all environmental risk data processing values ​​and all historical fault data processing values ​​of the onshore wind farm at the current moment, the energy consumption assessment value, environmental risk assessment value and fault assessment value of the onshore wind farm at the current moment are obtained: (8); among them, is the energy consumption assessment value of the land wind farm at the i-th moment, ) is the maximum value of the power consumption of the booster station within the preset monitoring time period, e is a natural number, and its value is 2.71. ) is the maximum value of the fan power consumption value within the preset monitoring time period, The maximum value of the energy consumption of the power plant cooling system within the preset monitoring time period; (9); among them, is the environmental risk assessment value of the onshore wind farm at the i-th moment, is the maximum value of the product of the natural disaster risk level of the land wind farm and the number of natural disasters at the i-th moment, is the maximum value of the product of the man-made damage risk level and the number of man-made damages of the onshore wind farm at the i-th moment; (10); among which, is the fault assessment value of the onshore wind farm at the i-th moment, is the maximum value of the product of the difficulty level of wind turbine fault maintenance and the number of new wind turbine faults in the onshore wind farm at the i-th moment, It is the maximum value of the product of the shutdown duration of the artificial booster station in the onshore wind farm and the number of new booster station failures at the i-th moment.

[0027] The working principle and beneficial effects of the above technical solution are: based on the standardized processing value, the evaluation values ​​of energy consumption, environmental risks and failures are calculated, providing a comprehensive evaluation index system, so that there is a clear quantitative description of the overall operation of the power plant.

[0028] Example 6 Based on Example 1, the monitoring node acquisition module includes: A coordinate determination submodule is used to obtain a marked coordinate point of the land wind farm at the current moment by taking the energy consumption assessment value of the land wind farm at the current moment as the horizontal coordinate value, the environmental risk assessment value of the corresponding land wind farm at the current moment as the vertical coordinate value, and the fault assessment value of the corresponding land wind farm at the current moment as the vertical coordinate value; The upper and lower limit preset submodule is used to preset the minimum energy consumption assessment value, the minimum environmental risk assessment value, the minimum fault assessment value, the maximum energy consumption assessment value, the maximum environmental risk assessment value and the maximum fault assessment value at the current moment; A reference coordinate determination submodule is used to obtain the lower limit mark coordinate point of the land wind farm at the current moment by taking the minimum energy consumption assessment value, the minimum environmental risk assessment value and the minimum fault assessment value of the land wind farm at the current moment as the horizontal coordinate value, the vertical coordinate value and the vertical coordinate value respectively; The maximum energy consumption assessment value, the maximum environmental risk assessment value and the maximum fault assessment value of the land wind farm at the current moment are respectively used as the horizontal coordinate value, the vertical coordinate value and the vertical coordinate value to obtain the upper limit mark coordinate point of the land wind farm at the current moment; A connection diagram construction submodule is used to connect the marked coordinate points at several moments in a preset monitoring time period in a time sequence to form a three-dimensional node monitoring connection line for a land wind farm, and to connect the lower limit marked coordinate points at several moments in a preset monitoring time period in a time sequence to form a lower limit connection line for three-dimensional node monitoring of a land wind farm, and to connect the upper limit marked coordinate points at several moments in a preset monitoring time period in a time sequence to form an upper limit connection line for three-dimensional node monitoring of a land wind farm, and finally obtain a three-dimensional node monitoring connection diagram for a land wind farm in a preset monitoring time period; The node analysis submodule is used to obtain all monitoring nodes within a preset monitoring time period of the land wind farm based on the three-dimensional node monitoring connection diagram of the land wind farm.

[0029] The working principle and beneficial effects of the above technical solution are: by marking coordinate points, the evaluation value is converted into three-dimensional space coordinates, and a three-dimensional node monitoring connection diagram is constructed. The three-dimensional space display method makes the data change trend more intuitive, which is convenient for identifying anomalies and assessing risks.

[0030] Example 7 Based on Example 6, the node analysis submodule includes: An intersection determination unit, used to determine the intersection of the onshore wind farm three-dimensional node monitoring connection line, the onshore wind farm three-dimensional node monitoring lower limit connection line, and the onshore wind farm three-dimensional node monitoring upper limit connection line; A distance determination unit is used to determine the distance from the marked coordinate point on the three-dimensional node monitoring connection line of the land wind farm to the corresponding intersection point at a moment before and a moment after the intersection point, and obtain the auxiliary analysis distance 1 and the auxiliary analysis distance 2; The monitoring node determination unit takes the marked coordinate point corresponding to the smaller distance between the auxiliary analysis distance 1 and the auxiliary analysis distance 2 as the monitoring node.

[0031] The working principle and beneficial effects of the above technical solution are: by identifying the intersection of the monitoring connection line and the upper and lower limit connection lines, the key monitoring nodes are determined, which helps to improve the accuracy and response speed of monitoring.

[0032] Example 8 Based on Example 1, the monitoring result output module includes: A monitoring node evaluation value acquisition unit is used to acquire the energy consumption evaluation value, environmental risk evaluation value and fault evaluation value of the monitoring node at the time corresponding to the monitoring node, and use them as the monitoring node energy consumption evaluation value, the monitoring node environmental risk evaluation value and the monitoring node fault evaluation value; The abnormality severity calculation unit uses the sum of the monitoring node energy consumption assessment value, the monitoring node environmental risk assessment value and the monitoring node fault assessment value as a comprehensive abnormality severity assessment value; The monitoring result output unit, when the comprehensive abnormality severity evaluation value of the monitoring node is less than the preset comprehensive abnormality severity evaluation value, the monitoring result is normal operation; When the comprehensive abnormality severity assessment value of the monitoring node is greater than or equal to the preset comprehensive abnormality severity assessment value, the monitoring result is an operation abnormality, and the monitoring node energy consumption assessment value, monitoring node environmental risk assessment value and monitoring node fault assessment value corresponding to the monitoring node are output as monitoring results.

[0033] The working principle and beneficial effects of the above technical solution are: by calculating the comprehensive abnormal severity of the monitoring nodes and judging the system operation status, a simple and effective judgment method is provided, which can quickly identify operation abnormalities and output specific abnormal information, so as to facilitate timely measures.

[0034] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A comprehensive monitoring system for a land wind farm, characterized in that: include: A data monitoring module, for obtaining a processed value of all energy consumption data, a processed value of all environmental risk data and a processed value of all historical fault data of the land wind farm at the current moment based on all energy consumption data, all environmental risk data and all historical fault data of the land wind farm at the current moment within a preset monitoring time period; An evaluation value acquisition module, used to obtain an energy consumption evaluation value, an environmental risk evaluation value and a fault evaluation value of the land wind farm at the current moment based on all energy consumption data processing values, all environmental risk data processing values ​​and all historical fault data processing values ​​of the land wind farm at the current moment; A monitoring node acquisition module is used to obtain a three-dimensional node monitoring connection diagram of the land wind farm in a preset monitoring time period based on the energy consumption assessment value, environmental risk assessment value and fault assessment value of the land wind farm at a certain time, and obtain all monitoring nodes in the preset monitoring time period of the land wind farm based on the three-dimensional node monitoring connection diagram of the land wind farm; The monitoring result output module is used to obtain the remote monitoring result of the land wind farm based on all monitoring nodes within a preset monitoring time period of the land wind farm.

2. The integrated monitoring system for a land wind farm according to claim 1, characterized in that: The data monitoring module includes: The data acquisition submodule is used to obtain all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment; Among them, all energy consumption data include power consumption of booster stations, power consumption of fans and energy consumption of cooling systems of power plants; All environmental risk data include the number of natural disasters, the risk level of natural disasters, the number of man-made damages and the risk level of man-made damages; All historical fault data include the number of new wind turbine faults, wind turbine fault repair difficulty level, the number of new booster station faults and booster station downtime duration; The data processing submodule is used to process all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment, and obtain the processed values ​​of all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment.

3. The integrated monitoring system for a land wind farm according to claim 2, characterized in that: The data processing submodules include: An energy consumption data processing value processing unit is used to obtain the booster station power consumption data processing value, the fan power consumption data processing value and the power plant cooling system energy consumption data processing value of the land wind farm at the current moment based on the booster station power consumption, the fan power consumption and the power plant cooling system energy consumption data of the land wind farm at the current moment; An environmental risk data processing value processing unit is used to obtain a natural disaster data processing value and a man-made damage data processing value of the land wind farm at the current moment based on the number of natural disasters, the natural disaster risk level, the number of man-made damages and the man-made damage risk level of the land wind farm at the current moment; The historical fault data processing value processing unit is used to obtain the wind turbine fault data processing value and the booster station fault data processing value of the land wind farm at the current moment based on the number of new wind turbine faults, the wind turbine fault repair difficulty level, the number of new booster station faults and the booster station shutdown duration data of the land wind farm at the current moment.

4. The integrated monitoring system for a land wind farm according to claim 3, characterized in that: The processed value of the power consumption data of the booster station of the onshore wind farm at the i-th moment: (1); among which, is the processed value of the power consumption data of the booster station of the land wind farm at the i-th moment, In is the logarithm with base e, The importance ratio of power consumption data of booster stations to the total energy consumption data. is the power consumption of the booster station of the land wind farm at the i-th moment, and n is the number of preset moments in the preset monitoring time period; The data processing value of wind turbine power consumption of land wind farm at the i-th moment: (2); among which, is the processed value of wind turbine power consumption data of the onshore wind farm at the i-th moment, is the importance ratio of wind turbine power consumption data to the total energy consumption data, is the wind turbine power consumption value of the land wind farm at the i-th moment; (3); among which, is the energy consumption data processing value of the cooling system of the onshore wind farm at the i-th moment, The importance ratio of the energy consumption data of the power plant cooling system to the total energy consumption data. is the energy consumption value of the cooling system of the onshore wind farm at the i-th moment.

5. The integrated monitoring system for a land wind farm according to claim 4, characterized in that: The natural disaster data processing value of the land wind farm at the i-th moment: (4); among which, is the natural disaster data processing value of the land wind farm at the i-th moment, is the importance ratio of natural disaster data to all environmental risk data, is the natural disaster risk level of the land wind farm at the i-th moment, is the number of natural disasters in the land wind farm at the i-th moment, In is the logarithm with base e, and n is the number of preset moments in the preset monitoring time period; The processed value of man-made damage data of onshore wind farm at the i-th moment: (5); among which, is the processing value of the man-made damage data of the onshore wind farm at the i-th moment, is the importance ratio of man-made damage data to all environmental risk data, is the risk level of man-made damage to the onshore wind farm at the i-th moment, is the number of man-made damages to the onshore wind farm at the i-th moment.

6. The integrated monitoring system for a land wind farm according to claim 5, characterized in that: The wind turbine fault data processing value of the onshore wind farm at the i-th moment: (6); among which, is the wind turbine fault data processing value of the onshore wind farm at the i-th moment, is the importance ratio of wind turbine failure data to all environmental risk data, is the difficulty level of wind turbine fault maintenance in the onshore wind farm at the i-th moment, is the number of newly added wind turbine failures in the land wind farm at the i-th moment, In is the logarithm with base e, and n is the number of preset moments in the preset monitoring time period; The fault data processing value of the booster station of the onshore wind farm at the i-th moment: (7); is the fault data processing value of the booster station of the onshore wind farm at the i-th moment, is the importance ratio of booster station failure data to all environmental risk data, is the shutdown duration of the booster station of the onshore wind farm at the i-th moment, is the number of new booster station failures in the onshore wind farm at the i-th moment.

7. The integrated monitoring system for a land wind farm according to claim 6, characterized in that: Based on the processed values ​​of all energy consumption data, all environmental risk data and all historical fault data of the onshore wind farm at the current moment, the energy consumption assessment value, environmental risk assessment value and fault assessment value of the onshore wind farm at the current moment are obtained: (8); among them, is the energy consumption assessment value of the land wind farm at the i-th moment, ) is the maximum value of the power consumption of the booster station within the preset monitoring time period, e is a natural number, and its value is 2.

71. ) is the maximum value of the fan power consumption value within the preset monitoring time period, The maximum value of the energy consumption of the power plant cooling system within the preset monitoring time period; (9); among them, is the environmental risk assessment value of the onshore wind farm at the i-th moment, is the maximum value of the product of the natural disaster risk level of the land wind farm and the number of natural disasters at the i-th moment, is the maximum value of the product of the man-made damage risk level and the number of man-made damages of the onshore wind farm at the i-th moment; (10); among which, is the fault assessment value of the onshore wind farm at the i-th moment, is the maximum value of the product of the difficulty level of wind turbine fault maintenance and the number of new wind turbine faults in the onshore wind farm at the i-th moment, It is the maximum value of the product of the shutdown duration of the artificial booster station in the onshore wind farm and the number of new booster station failures at the i-th moment.

8. The integrated monitoring system for a land wind farm according to claim 1, characterized in that: The monitoring node acquisition module includes: A coordinate determination submodule is used to obtain a marked coordinate point of the land wind farm at the current moment by taking the energy consumption assessment value of the land wind farm at the current moment as the horizontal coordinate value, the environmental risk assessment value of the corresponding land wind farm at the current moment as the vertical coordinate value, and the fault assessment value of the corresponding land wind farm at the current moment as the vertical coordinate value; The upper and lower limit preset submodule is used to preset the minimum energy consumption assessment value, the minimum environmental risk assessment value, the minimum fault assessment value, the maximum energy consumption assessment value, the maximum environmental risk assessment value and the maximum fault assessment value at the current moment; A reference coordinate determination submodule is used to obtain the lower limit mark coordinate point of the land wind farm at the current moment by taking the minimum energy consumption assessment value, the minimum environmental risk assessment value and the minimum fault assessment value of the land wind farm at the current moment as the horizontal coordinate value, the vertical coordinate value and the vertical coordinate value respectively; The maximum energy consumption assessment value, the maximum environmental risk assessment value and the maximum fault assessment value of the land wind farm at the current moment are respectively used as the horizontal coordinate value, the vertical coordinate value and the vertical coordinate value to obtain the upper limit mark coordinate point of the land wind farm at the current moment; A connection diagram construction submodule is used to connect the marked coordinate points at several moments in a preset monitoring time period in a time sequence to form a three-dimensional node monitoring connection line for a land wind farm, and to connect the lower limit marked coordinate points at several moments in a preset monitoring time period in a time sequence to form a lower limit connection line for three-dimensional node monitoring of a land wind farm, and to connect the upper limit marked coordinate points at several moments in a preset monitoring time period in a time sequence to form an upper limit connection line for three-dimensional node monitoring of a land wind farm, and finally obtain a three-dimensional node monitoring connection diagram for a land wind farm in a preset monitoring time period; The node analysis submodule is used to obtain all monitoring nodes within a preset monitoring time period of the land wind farm based on the three-dimensional node monitoring connection diagram of the land wind farm.

9. The integrated monitoring system for a land wind farm according to claim 8, characterized in that: The node analysis submodules include: An intersection determination unit, used to determine the intersection of the onshore wind farm three-dimensional node monitoring connection line, the onshore wind farm three-dimensional node monitoring lower limit connection line, and the onshore wind farm three-dimensional node monitoring upper limit connection line; A distance determination unit is used to determine the distance from the marked coordinate point on the three-dimensional node monitoring connection line of the land wind farm to the corresponding intersection point at a moment before and a moment after the intersection point, and obtain the auxiliary analysis distance 1 and the auxiliary analysis distance 2; The monitoring node determination unit takes the marked coordinate point corresponding to the smaller distance between the auxiliary analysis distance 1 and the auxiliary analysis distance 2 as the monitoring node.

10. The integrated monitoring system for a land wind farm according to claim 1, characterized in that: The monitoring result output module includes: A monitoring node evaluation value acquisition unit is used to acquire the energy consumption evaluation value, environmental risk evaluation value and fault evaluation value of the monitoring node at the time corresponding to the monitoring node, and use them as the monitoring node energy consumption evaluation value, the monitoring node environmental risk evaluation value and the monitoring node fault evaluation value; The abnormality severity calculation unit uses the sum of the monitoring node energy consumption assessment value, the monitoring node environmental risk assessment value and the monitoring node fault assessment value as a comprehensive abnormality severity assessment value; The monitoring result output unit, when the comprehensive abnormality severity evaluation value of the monitoring node is less than the preset comprehensive abnormality severity evaluation value, the monitoring result is normal operation; When the comprehensive abnormality severity assessment value of the monitoring node is greater than or equal to the preset comprehensive abnormality severity assessment value, the monitoring result is an operation abnormality, and the monitoring node energy consumption assessment value, monitoring node environmental risk assessment value and monitoring node fault assessment value corresponding to the monitoring node are output as monitoring results.

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