New energy wind power plant intelligent safety early warning simulation detection method and system

Abstract

The invention relates to the technical field of wind turbine generator system operation and maintenance, in particular to an intelligent safety early warning simulation detection method and system for a new energy wind power plant. The method comprises the following steps: acquiring detection parameters of a sensor and video acquisition equipment applied by an intelligent safety early warning analysis system of a new energy wind power plant in actual use according to preset time, substituting data acquired by an abnormal equipment model into a preset filtering algorithm for signal processing, and obtaining abnormal equipment model acquisition data processed by the filtering algorithm; and comparing the abnormal equipment model acquisition data processed by the filtering algorithm with the data acquired by the data acquisition equipment in real time, and if the comparison result is abnormal, generating early warning simulation detection information, thereby dynamically and periodically detecting the detection parameters and models of the sensor and the camera of the data acquisition equipment in real time. And the data acquisition accuracy of the data acquisition equipment is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine system operation and maintenance, and in particular to an intelligent safety early warning simulation detection method and system for a new energy wind farm. Background Art

[0002] Intelligent safety warning for new energy wind farms refers to a system or method that uses intelligent technologies and means to monitor, warn and respond to safety risks in wind farms. This system or method can achieve functions such as safe operation monitoring, risk warning and emergency response of wind farm equipment through real-time monitoring, data analysis, remote control, intelligent identification and other technical means, thereby improving the safety level and management efficiency of wind farms and ensuring their stable, reliable and sustainable operation.

[0003] The intelligent safety early warning system of new energy wind farm relies on the sensor equipment and video acquisition terminal equipment in the new energy wind farm to collect data, and then analyzes the collected data to obtain the early warning information of the new energy wind farm. There are a large number of sensors used in the intelligent safety early warning system of new energy wind farm. Some sensors are damaged due to continuous work, or there is a difference between the environment in which the sensors are located and when the sensors are installed, resulting in the sensor collected data being inconsistent with expectations, resulting in errors in the analysis results of the new energy wind battery intelligent safety early warning system. Therefore, a new energy wind farm intelligent safety early warning simulation detection method and system are developed to improve the accuracy of the intelligent safety early warning of new energy wind farms. Summary of the invention

[0004] The purpose of the present invention is to provide a new energy wind farm intelligent safety warning simulation detection method and system to solve the problem that the existing new energy wind farm intelligent safety warning system is based on sensors and cameras to collect data, and when errors occur in the data collected by the sensors and cameras, the accuracy of the new energy wind farm intelligent safety warning analysis is reduced.

[0005] In a first aspect, the present invention provides a new energy wind farm intelligent safety early warning simulation detection method, comprising:

[0006] Acquire standard data of data acquisition equipment, including sensors and video acquisition equipment used in the intelligent safety early warning analysis system for new energy wind farms, and detection parameters and equipment models of sensors and video acquisition equipment used in the intelligent safety early warning analysis system for new energy wind farms;

[0007] Collect the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm in actual use according to the preset time, and obtain the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm;

[0008] Compare the actual detection parameters of the sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results;

[0009] According to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result;

[0010] The data collected by the abnormal device model is substituted into the preset filtering algorithm for signal processing to obtain the data collected by the abnormal device model after the filtering algorithm is processed. The data collected by the abnormal device model after the filtering algorithm is compared with the data collected in real time by the data acquisition device. If there is an abnormality in the comparison result, early warning simulation detection information is generated.

[0011] Further, the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm in actual use are collected at preset time to obtain the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm, including:

[0012] Establish the sensor and video acquisition equipment detection parameter data collection time period used in the intelligent safety early warning analysis system of new energy wind farms;

[0013] According to the time period of detecting parameter data collection of the sensors and video acquisition equipment used in the intelligent safety early warning analysis system for the new energy wind farm, the sensors and video acquisition equipment used in the intelligent safety early warning analysis system for the new energy wind farm are sorted for detecting parameter data collection within the periodic time period, and a collection sorting label is established;

[0014] The detection parameters of the data acquisition devices corresponding to the collection sorting labels are detected in sequence within a preset time period.

[0015] Further, according to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result, including;

[0016] Extract data categories from actual detection parameters;

[0017] Compare the data categories in the actual detection parameters with the standard data categories of the data acquisition equipment. If the categories in the actual detection parameters are different from the standard data categories of the data acquisition equipment, abnormal category data is obtained;

[0018] The detection parameters in the category abnormal data are compared with the standard data category of the data acquisition device. If there is an abnormality, an abnormal data acquisition device is generated.

[0019] Further, according to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result, including;

[0020] According to the actual detection parameter comparison result, the actual detection parameter comparison result includes normal actual detection parameters and abnormal actual detection parameters;

[0021] If the actual detection parameters are abnormal, compare the models of the data acquisition equipment.

[0022] In a second aspect, a new energy wind farm intelligent safety early warning simulation detection system includes: a server end, a user end, a background control end and a data acquisition device, the server end establishes a communication connection with the user end, the background control end and the data acquisition device, the data acquisition device transmits the collected data to the server end, the server end transmits the analyzed data to the user end, and the server end receives the control command sent by the background control end;

[0023] The server side obtains standard data of data acquisition equipment, which includes sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms. The standard data of data acquisition equipment includes detection parameters and equipment models of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms. The detection parameters of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms in actual use are collected according to the preset time, and the actual detection parameters of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms are obtained. The sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms are used. The actual detection parameters of the acquisition equipment are compared with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results. According to the actual detection parameter comparison results, the model of the abnormal data acquisition equipment in the actual detection parameter comparison results is collected, and the model of the abnormal data acquisition equipment is compared with the equipment model in the standard data of the data acquisition equipment to obtain the abnormal equipment model comparison results. The data collected by the abnormal equipment model is substituted into the preset filtering algorithm for signal processing to obtain the abnormal equipment model collection data processed by the filtering algorithm, and the abnormal equipment model collection data processed by the filtering algorithm is compared with the data collected by the data acquisition equipment in real time. If there is an abnormality in the comparison result, an early warning simulation detection information is generated.

[0024] The beneficial effects of the technical solution of the present application are as follows: the present application provides a new energy wind farm intelligent safety early warning simulation detection method and system, first, the server side obtains the standard data of the data acquisition equipment, and secondly, the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system of the new energy wind farm in actual use are collected at the preset time to obtain the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system of the new energy wind farm, and then, the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system of the new energy wind farm are compared with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results, and finally, the data collected by the abnormal equipment model is substituted into the preset filtering algorithm for signal processing to obtain the abnormal equipment model collected data processed by the filtering algorithm, and the abnormal equipment model collected data processed by the filtering algorithm is compared with the data collected by the data acquisition equipment in real time. If there is an abnormality in the comparison result, the early warning simulation detection information is generated, and the dynamic real-time detection of the detection parameters and models of the sensors and cameras of the data acquisition equipment is realized according to the cycle, so as to improve the accuracy of the data collected by the data acquisition equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 The present invention provides a new energy wind farm intelligent safety early warning simulation detection method process framework intention. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0028] See also Figure 1 In a first aspect, the present invention provides a new energy wind farm intelligent safety early warning simulation detection method, comprising:

[0029] In a first aspect, the present invention provides a new energy wind farm intelligent safety early warning simulation detection method, comprising:

[0030] In step S101, standard data of data acquisition equipment is obtained, wherein the data acquisition equipment includes sensors and video acquisition equipment used in the intelligent safety early warning analysis system for new energy wind farms, and the standard data of data acquisition equipment includes detection parameters and equipment models of sensors and video acquisition equipment used in the intelligent safety early warning analysis system for new energy wind farms;

[0031] First, the standard data of the data acquisition device is obtained. The standard data of the data acquisition device referred to in the technical solution of this application refers to the equipment detection parameters of the data acquisition device and the model data of the device. This application analyzes the equipment detection parameters and the model of the data acquisition device in real time to simulate the detection of whether the data acquisition device has a fault, and starts to detect the accuracy of the data collected by the data acquisition device at the data source in advance.

[0032] In step S102, the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm in actual use are collected at a preset time to obtain the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm;

[0033] The detection parameters of sensors and video acquisition equipment are obtained periodically within a preset time range to avoid changes in the detection parameters of sensors and video acquisition equipment due to environmental factors during use. For example, at night or on cloudy days, the operator adjusts the detection parameters of the video acquisition equipment but does not adjust the parameters in the system, resulting in abnormal data analyzed by the system model. In addition, when continuous high temperatures or stormy weather damages the sensor, the parameters of the sensor data collection may change, indirectly affecting the accuracy of the early warning analysis.

[0034] In step S103, the actual detection parameters of the sensors and video acquisition equipment used in the new energy wind farm intelligent safety early warning analysis system are compared with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results;

[0035] The parameter data of the sensor and the video acquisition terminal in actual operation are compared with the standard data pre-designed by the system to obtain the comparison results, which are used for subsequent data analysis.

[0036] In step S104, according to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result;

[0037] If the parameters of the data acquisition equipment change, the operator will normally maintain or replace the sensor equipment. However, whether the replaced sensor is suitable for the new energy wind farm intelligent safety early warning analysis system still needs to be verified. For example, if sensor A cannot be adapted to this system, if the operator installs sensor A, the data collected by sensor A will cause the accuracy of the new energy wind farm intelligent safety early warning analysis system to decrease.

[0038] In step S105, the data collected by the abnormal device model is substituted into the preset filtering algorithm for signal processing to obtain the data collected by the abnormal device model after the filtering algorithm is processed. The data collected by the abnormal device model after the filtering algorithm is compared with the data collected in real time by the data acquisition device. If there is an abnormality in the comparison result, early warning simulation detection information is generated.

[0039] In order to improve the verification of the accuracy of data collected by abnormal equipment, the data collected by abnormal equipment is first filtered and analyzed by simulation analysis, and then substituted into the preset early warning analysis model for early warning analysis. By comparative analysis, the data collected by sensors in the same area of ​​the abnormal equipment is taken as normal data. If the data after filtering analysis is consistent with the normal data after being processed by the early warning analysis model, the data collected by the abnormal equipment is usable data.

[0040] If the data collected by the abnormal equipment is inconsistent with the normal data after the analysis results of the early warning analysis model, early warning simulation detection information is generated.

[0041] Specifically, the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm in actual use are collected at the preset time to obtain the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm, including:

[0042] Establish the sensor and video acquisition equipment detection parameter data collection time period used in the intelligent safety early warning analysis system of new energy wind farms;

[0043] According to the time period of detecting parameter data collection of the sensors and video acquisition equipment used in the intelligent safety early warning analysis system for the new energy wind farm, the sensors and video acquisition equipment used in the intelligent safety early warning analysis system for the new energy wind farm are sorted for detecting parameter data collection within the periodic time period, and a collection sorting label is established;

[0044] The detection parameters of the data acquisition devices corresponding to the collection sorting labels are detected in sequence within a preset time period.

[0045] Specifically, according to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result, including:

[0046] Extract data categories from actual detection parameters;

[0047] Compare the data categories in the actual detection parameters with the standard data categories of the data acquisition equipment. If the categories in the actual detection parameters are different from the standard data categories of the data acquisition equipment, abnormal category data is obtained;

[0048] Profit, sensor A actually detects 6 parameters, but there are only 5 parameters in the standard data. By comparison, the actual data collected by this sensor is abnormal data. The extra detection items will cause incorrect recognition on the server side after being transmitted to the server.

[0049] The detection parameters in the category abnormal data are compared with the standard data category of the data acquisition device. If there is an abnormality, an abnormal data acquisition device is generated.

[0050] Specifically, according to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result, including:

[0051] According to the actual detection parameter comparison result, the actual detection parameter comparison result includes normal actual detection parameters and abnormal actual detection parameters;

[0052] If the actual detection parameters are abnormal, the model of the data acquisition device is compared. In order to avoid maintenance personnel replacing sensors that do not match the system, the use of sensors that do not match the system in the system will cause errors in the system's data reading and data analysis, so the actual detection sensor is in line with the preset sensor range.

[0053] In a second aspect, a new energy wind farm intelligent safety early warning simulation detection system includes: a server end, a user end, a background control end and a data acquisition device, the server end establishes a communication connection with the user end, the background control end and the data acquisition device, the data acquisition device transmits the collected data to the server end, the server end transmits the analyzed data to the user end, and the server end receives the control command sent by the background control end;

[0054] The data acquisition device transmits data to the server in real time, and the server analyzes the real-time data of the data acquisition device according to the settings of the backend control terminal;

[0055] The server side obtains standard data of data acquisition equipment, which includes sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms. The standard data of data acquisition equipment includes detection parameters and equipment models of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms. The detection parameters of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms in actual use are collected according to the preset time, and the actual detection parameters of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms are obtained. The sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms are used. The actual detection parameters of the acquisition equipment are compared with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results. According to the actual detection parameter comparison results, the model of the abnormal data acquisition equipment in the actual detection parameter comparison results is collected, and the model of the abnormal data acquisition equipment is compared with the equipment model in the standard data of the data acquisition equipment to obtain the abnormal equipment model comparison results. The data collected by the abnormal equipment model is substituted into the preset filtering algorithm for signal processing to obtain the abnormal equipment model collection data processed by the filtering algorithm, and the abnormal equipment model collection data processed by the filtering algorithm is compared with the data collected by the data acquisition equipment in real time. If there is an abnormality in the comparison result, an early warning simulation detection information is generated.

[0056] The technical solution disclosed in the present application is a simulation detection method and system for intelligent safety early warning of new energy wind farms. First, standard data of data acquisition equipment is obtained, and then sensors and video acquisition terminals with real-time operating status are acquired. In the technical solution of the present application, the video acquisition terminal refers to a camera. When the sensor equipment is arranged, due to the characteristics of the wind power equipment, multiple sensors of the same type will be arranged and installed in local positions to collect data in this area. Therefore, the sensors in the same area can be used for subsequent comparison. Sensors in the same area may have abnormalities or no abnormalities. By comparing sensors that operate normally without abnormalities with abnormal sensors, and then comparing the data analyzed by the early warning analysis model of the abnormal and normal sensors, it is possible to determine whether the data collected by the abnormal sensor acquisition device is accurate, thereby solving the problem that the existing intelligent safety early warning system for new energy wind farms is based on sensors and cameras to collect data. When errors occur in the data collected by the sensors and cameras, the accuracy of the intelligent safety early warning analysis of new energy wind farms is reduced.

[0057] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention or some parts of the embodiments. The above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A new energy wind farm intelligent safety early warning simulation detection method, characterized in that: include; Acquire standard data of data acquisition equipment, including sensors and video acquisition equipment used in the intelligent safety early warning analysis system for new energy wind farms, and detection parameters and equipment models of sensors and video acquisition equipment used in the intelligent safety early warning analysis system for new energy wind farms; Collect the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm in actual use according to the preset time, and obtain the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm; Compare the actual detection parameters of the sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results; According to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result; The data collected by the abnormal device model is substituted into the preset filtering algorithm for signal processing to obtain the data collected by the abnormal device model after the filtering algorithm is processed. The data collected by the abnormal device model after the filtering algorithm is compared with the data collected in real time by the data acquisition device. If there is an abnormality in the comparison result, early warning simulation detection information is generated.

2. The intelligent safety early warning simulation detection method for a new energy wind farm according to claim 1, characterized in that: Collecting the detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm in actual use according to the preset time, and obtaining the actual detection parameters of the sensors and video acquisition equipment used by the intelligent safety early warning analysis system for the new energy wind farm, including; Establish the sensor and video acquisition equipment detection parameter data collection time period used in the intelligent safety early warning analysis system of new energy wind farms; According to the time period of detecting parameter data collection of the sensors and video acquisition equipment used in the intelligent safety early warning analysis system for the new energy wind farm, the sensors and video acquisition equipment used in the intelligent safety early warning analysis system for the new energy wind farm are sorted for detecting parameter data collection within the periodic time period, and a collection sorting label is established; The detection parameters of the data acquisition devices corresponding to the collection sorting labels are detected in sequence within a preset time period.

3. The intelligent safety early warning simulation detection method for a new energy wind farm according to claim 1 is characterized in that: According to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result, including: Extract data categories from actual detection parameters; Compare the data categories in the actual detection parameters with the standard data categories of the data acquisition equipment. If the categories in the actual detection parameters are different from the standard data categories of the data acquisition equipment, abnormal category data is obtained; The detection parameters in the category abnormal data are compared with the standard data category of the data acquisition device. If there is an abnormality, an abnormal data acquisition device is generated.

4. The intelligent safety early warning simulation detection method for a new energy wind farm according to claim 1, characterized in that: According to the actual detection parameter comparison result, the model of the abnormal data acquisition device in the actual detection parameter comparison result is collected, and the model of the abnormal data acquisition device is compared with the device model in the data acquisition device standard data to obtain the abnormal device model comparison result, including: According to the actual detection parameter comparison result, the actual detection parameter comparison result includes normal actual detection parameters and abnormal actual detection parameters; If the actual detection parameters are abnormal, compare the models of the data acquisition equipment.

5. An intelligent safety early warning simulation detection system for new energy wind farms, characterized in that: include: A server, a user, a backend control terminal and a data acquisition device. The server establishes a communication connection with the user, the backend control terminal and the data acquisition device. The data acquisition device transmits the collected data to the server. The server transmits the analyzed data to the user. The server receives the control command sent by the backend control terminal. The server side obtains standard data of data acquisition equipment, which includes sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms. The standard data of data acquisition equipment includes detection parameters and equipment models of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms. The detection parameters of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms in actual use are collected according to the preset time, and the actual detection parameters of sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms are obtained. The sensors and video acquisition equipment used in the intelligent safety early warning analysis system of new energy wind farms are used. The actual detection parameters of the acquisition equipment are compared with the standard data of the data acquisition equipment to obtain the actual detection parameter comparison results. According to the actual detection parameter comparison results, the model of the abnormal data acquisition equipment in the actual detection parameter comparison results is collected, and the model of the abnormal data acquisition equipment is compared with the equipment model in the standard data of the data acquisition equipment to obtain the abnormal equipment model comparison results. The data collected by the abnormal equipment model is substituted into the preset filtering algorithm for signal processing to obtain the abnormal equipment model collection data processed by the filtering algorithm, and the abnormal equipment model collection data processed by the filtering algorithm is compared with the data collected by the data acquisition equipment in real time. If there is an abnormality in the comparison result, an early warning simulation detection information is generated.

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