Wind power equipment state monitoring method based on Internet of Things

Abstract

The invention discloses a wind power equipment state monitoring method based on the Internet of Things, and relates to the technical field of wind power equipment monitoring, and the method comprises the following steps: monitoring the equipment rotating speed, current flow and the like of each group of wind power equipment; receiving and storing data of each group of wind power equipment; making the range of the base station cover each group of wind power equipment and marking simultaneously; calculating the operation condition of the average duration by calculating the data among the groups of wind power equipment; integrating the data returned by the data transmission base station to obtain a real-time data model; and the data is checked by checking the calculated error through the real-time data model, so that the actual operation state of each group of wind power equipment is judged by utilizing the data model. By monitoring the data of each group of wind power equipment and transmitting the data through the data transmission base station, the monitoring data can be remotely transmitted through the Internet of Things when being transmitted, so that an administrator or computing equipment can receive each group of monitoring data more conveniently.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power equipment monitoring, and in particular to a method for monitoring the status of wind power equipment based on the Internet of Things. Background Art

[0002] Wind power equipment refers to a series of devices that convert wind energy into electrical energy, making it possible to generate electricity using wind energy or wind power. Wind power technology equipment is an important part of the wind power industry, and is also the foundation and guarantee for the development of the wind power industry. During the operation of wind power equipment, it is often necessary to monitor the operating status of wind power equipment in order to better observe the efficiency of wind power equipment. However, the existing wind power equipment status monitoring methods have some shortcomings, such as:

[0003] Application number: CN202310847600.0 A method for monitoring the service status of wind power equipment based on deep learning technology, the method obtains real-time status data of the wind power equipment to be evaluated, and determines the real-time service status of the wind power equipment to be evaluated by using a status monitoring model according to the real-time status data; the present invention can improve the accuracy of service status monitoring of wind power equipment; but in actual use, it is difficult for this method to effectively monitor data such as the current flow of wind power equipment in real time, which may cause inaccurate monitoring when the method monitors the operating status of the wind power equipment.

[0004] Therefore, we proposed a wind power equipment status monitoring method based on the Internet of Things to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a wind power equipment status monitoring method based on the Internet of Things to solve the problem that the existing wind power equipment monitoring methods on the market mentioned in the above background technology are difficult to effectively monitor the current flow and other data of the wind power equipment in real time, which may cause the method to monitor the operating status of the wind power equipment. Inaccurate monitoring occurs.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for monitoring the status of wind power equipment based on the Internet of Things, characterized in that it comprises the following steps:

[0007] Step 1: Monitor the equipment speed and current flow of each group of wind power equipment, and record and store the data in real time;

[0008] Step 2: receiving data such as equipment speed and current flow of each group of wind power equipment, and storing each group of data;

[0009] Step 3: Establish a data transmission base station between each group of wind power equipment so that the base station covers each group of wind power equipment, and mark the location of each group of wind power equipment and its corresponding model and other information to better transmit each group of data;

[0010] Step 4: Calculate the average operation time of each group of wind power equipment by calculating the data between each group of wind power equipment, and the data error of each group of wind power equipment can be obtained through the average operation time of the wind power equipment, so as to further verify the actual operation of each group of wind power equipment;

[0011] Step 5: Integrate the data sent back by the data transmission base station to obtain a real-time data model of each group of wind power equipment;

[0012] Step 6: Verify the data transmitted by each group of wind power equipment through the real-time data model, and verify the data through the calculated error, so as to use the data model to determine the actual operating status of each group of wind power equipment.

[0013] By monitoring the data of each group of wind power equipment and transmitting the data through a data transmission base station, the monitoring data can be remotely transmitted through the Internet of Things during transmission, so that the administrator or computing device can receive each group of monitoring data more conveniently, and through the error value of each group of data, the abnormal data can be better verified, so that the method can be more convenient when performing status monitoring on multiple groups of wind power equipment.

[0014] As a preferred technical solution of the present invention, when performing real-time detection on each group of wind power equipment data, the blade speed of the wind power equipment, the temperature of the gear box and the flow rate of the transmission current will be monitored, so that the real-time operation of the wind power equipment can be monitored without the need for on-site inspection and monitoring, and the operating status of the wind power equipment can be better calculated.

[0015] The adoption of the above technical solution can make it more convenient to monitor information such as the blade rotation speed, gear box temperature and transmission current flow of each group of wind power equipment, thereby increasing the efficiency of the method in monitoring wind power equipment data.

[0016] As a preferred technical solution of the present invention, when transmitting data on blade speed, gearbox temperature and transmission current flow, a data storage device can be used to uniformly store the data, and the data storage device can send each group of data to a data transmission base station for transmission.

[0017] The use of the above technical solution can make it more convenient to store information such as the blade speed, gearbox temperature and transmission current flow of each group of wind power equipment, and can make the data inside the data storage device as a backup to prevent data loss, thereby increasing the efficiency of the method in monitoring wind power equipment.

[0018] As a preferred technical solution of the present invention, when receiving the data monitored by each group of wind power equipment, the data transmission base station will mark the data monitored by each group of wind power equipment with the associated equipment mark preset by the administrator, so that the data transmission base station will not have transmission confusion when transmitting the data of each group of wind power equipment, making it more convenient for the administrator to receive the data.

[0019] The adoption of the above technical solution can make it more convenient for the data transmission base station to mark the location of each group of wind power equipment, and can make the data transmission base station more stable when receiving each group of data, thereby increasing the efficiency of the method in transmitting monitoring data.

[0020] As a preferred technical solution of the present invention, the actual operation status of the wind power equipment is calculated through the data of blade speed, gear box temperature and transmission current flow of each group of wind power equipment transmitted by the data transmission base station, so that the administrator can obtain the average duration blade speed, gear temperature and transmission current flow of each group of wind power equipment, and can calculate the data error value of each group of wind power equipment through the average duration data of multiple groups, so as to compare the operation status of the wind power equipment in each time period.

[0021] The use of the above technical solution can make the method more convenient when calculating the error value of each group of data, and can make the method more accurate when verifying multiple groups of data through error values, thereby increasing the stability of the method when monitoring the operating status of wind power equipment.

[0022] As a preferred technical solution of the present invention, when the real-time data model is established, three sets of models of blade speed, gear temperature and transmission current flow can be established, which can be compared more conveniently, and the administrator can merge the real-time data model by adding regional wind speed or other information as additional data.

[0023] The above technical solution enables the administrator to modify the parameters of the real-time data model of each group of wind power equipment, so that each group of wind power equipment can be uniformly adjusted through additional data due to different regions or powers, thereby increasing the observability of the real-time data model.

[0024] As a preferred technical solution of the present invention, when calculating the data of each group of wind power equipment, three groups of real-time data models of blade speed, gear temperature and transmission current flow are compared with the average operating status data, so that the difference between the two can be calculated, and the real-time data model is compared with the data error value, so as to determine the actual operating status of the wind power equipment.

[0025] The above technical solution can be used to calculate the average operating conditions of the equipment and obtain the data change status of each time period. Then, the data error value can be calculated based on the data change status of each time period, which makes it more convenient for the administrator to verify the operating data of each group of wind power equipment, thereby better monitoring the operating status of the wind power equipment.

[0026] As a preferred technical solution of the present invention, when calculating the data of each group of wind power equipment, if the data is inaccurate or the error is large, the specified data information can be transmitted back to the data storage of the group of wind power equipment, and the data can be marked and retransmitted. When the data is calculated for the second time, if the error is still greater than the error value, it is determined that the wind power equipment is operating abnormally.

[0027] The use of the above technical solution can make the method more accurate when calculating multiple groups of monitoring data, and can make the method more accurate in determining the operating status of wind power equipment through multiple calculations, thereby increasing the accuracy of the method in monitoring the operating status of wind power equipment.

[0028] As a preferred technical solution of the present invention, when it is determined that the wind power equipment is operating abnormally, an emergency message can be automatically sent to seek help, so that the staff can repair the designated wind power equipment, or the circuit inside the designated wind power equipment can be disconnected through a remote device, thereby stopping power generation.

[0029] The adoption of the above technical solution enables the wind power equipment to instantly transmit maintenance signals or cut off the internal circuit of the wind power equipment when it is in an abnormal state, so as to avoid greater damage to the wind power equipment, thereby making the method more convenient when conveying maintenance signals and increasing the abnormality handling efficiency of the method.

[0030] As a preferred technical solution of the present invention, when it is determined that the wind power equipment is operating abnormally, the group of data will be marked and transmitted to the data storage device as a second mark, so that the data in the specified time period will affect the real-time data model, thereby facilitating observation by the administrator.

[0031] The adoption of the above technical solution can make it more convenient for administrators to observe abnormal data in the real-time data model, thereby increasing the accuracy of the method in observing abnormal data.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: by monitoring the data of each group of wind power equipment and transmitting the data through a data transmission base station, the monitoring data can be remotely transmitted through the Internet of Things during transmission, so that the administrator or computing device can receive each group of monitoring data more conveniently, and through the error value of each group of data, the abnormal data can be better verified, so that the method can be more convenient when performing status monitoring on multiple groups of wind power equipment;

[0033] Furthermore, by calculating the average operation status of the equipment, the data change status of each time period can be obtained, and then the data error value can be calculated through the data change status of each time period, so that the administrator can more conveniently verify the operation data of each group of wind power equipment, thereby better monitoring the operation status of wind power equipment;

[0034] Furthermore, by allowing the addition of additional data when establishing the real-time data model, the administrator can modify the parameters of the real-time data model of each group of wind power equipment, so that each group of wind power equipment can be uniformly adjusted through additional data due to different regions or different powers, thereby increasing the observability of the real-time data model;

[0035] Furthermore, by having the administrator transmit the signal data back to the wind power equipment, the wind power equipment can isolate the internal circuit, and can instantly transmit the maintenance signal or cut off the internal circuit of the wind power equipment when the wind power equipment is in an abnormal state to avoid greater damage to the wind power equipment, thereby making the method more convenient when conveying the maintenance signal and increasing the abnormality handling efficiency of the method. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 Schematic diagram of the implementation process of the method of the present invention;

[0037] Figure 2 It is a schematic diagram of the implementation process of the method of the present invention;

[0038] Figure 3 Detailed schematic diagram of the method of the present invention;

[0039] Figure 4 This is a schematic diagram of the implementation process of the method of Example 2 of the present invention. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0041] Example 1: Please refer to Figure 1-Figure 3 The present invention provides a technical solution: a method for monitoring the status of wind power equipment based on the Internet of Things, characterized in that it includes the following steps:

[0042] Step 1: Monitor the equipment speed and current flow of each group of wind power equipment, and record and store the data in real time;

[0043] Step 2: receiving data such as equipment speed and current flow of each group of wind power equipment, and storing each group of data;

[0044] Step 3: Establish a data transmission base station between each group of wind power equipment so that the base station covers each group of wind power equipment, and mark the location of each group of wind power equipment and its corresponding model and other information to better transmit each group of data;

[0045] Step 4: Calculate the average operation time of each group of wind power equipment by calculating the data between each group of wind power equipment, and the data error of each group of wind power equipment can be obtained through the average operation time of the wind power equipment, so as to further verify the actual operation of each group of wind power equipment;

[0046] Step 5: Integrate the data sent back by the data transmission base station to obtain a real-time data model of each group of wind power equipment;

[0047] Step 6: Check the data transmitted by each group of wind power equipment through the real-time data model, and check the data through the calculated error, so as to determine the actual operating status of each group of wind power equipment by using the data model;

[0048] When real-time detection is performed on each group of wind power equipment data, the blade speed, gearbox temperature and transmission current flow of the wind power equipment will be monitored, so that the real-time operation of the wind power equipment can be monitored without the need for on-site inspection and monitoring, and the operation status of the wind power equipment can be better calculated; when the data on blade speed, gearbox temperature and transmission current flow are transmitted, a data storage device can be used to uniformly store the data, and the data storage device sends each group of data to a data transmission base station for transmission; when blade speed monitoring is performed, the blades are monitored in real time through eddy current sensors or optical sensors;

[0049] A data storage device is an electronic device used to store data, which allows data to be read and written. It is the main storage in an electronic computer system. When remotely connected to a data transmission base station through the Internet of Things, it can be remotely connected to the data transmission base station Internet of Things through a linker or router;

[0050] When receiving the data monitored by each group of wind power equipment, the data transmission base station will mark the data monitored by each group of wind power equipment through the associated equipment mark preset by the administrator, so that the data transmission base station will not have transmission confusion when transmitting the data of each group of wind power equipment, making it more convenient for the administrator to receive the data;

[0051] The actual operation status of wind power equipment is calculated by using the data of blade speed, gear box temperature and transmission current flow of each group of wind power equipment transmitted by the data transmission base station, so that the administrator can obtain the average blade speed, gear box temperature and transmission current flow of each group of wind power equipment, and calculate the data error value of each group of wind power equipment through the average duration data of multiple groups, so as to compare the operation status of wind power equipment in different time periods;

[0052] When calculating the data error value, the data error value of the wind power equipment in the same area can be obtained by comparing the three sets of data of blade speed, gear temperature and transmission current flow of multiple sets of wind power equipment, or the three sets of data of speed, gear temperature and transmission current flow obtained by running a set of wind power equipment for a specified time are compared by average values, so as to obtain the error value of the specified wind power equipment, so that the method can be more convenient when calculating the error value of the monitoring data;

[0053] When the real-time data model is established, three sets of models can be established for blade speed, gear temperature and transmission current flow, which can be compared more conveniently. The administrator can also merge the real-time data model by adding regional wind speed or other information as additional data.

[0054] When calculating the data of each group of wind power equipment, the three sets of real-time data models of blade speed, gear temperature and transmission current flow are compared with the average operation data, so as to find out the difference between the two, and compare the real-time data model with the data error value, so as to judge the actual operation status of the wind power equipment;

[0055] When calculating the data of each group of wind power equipment, if the data is inaccurate or the error is large, the specified data information can be transmitted back to the data storage of the group of wind power equipment, and the data can be marked and retransmitted. When the data is calculated for the second time, if the error is still greater than the error value, it is determined that the wind power equipment is operating abnormally;

[0056] When the secondary calculation is accurate, the marking information of the group of data will be transmitted back to the data storage device, so as to mark the monitoring data completed by the secondary calculation, so that the administrator can observe and record the monitoring data of the wind power equipment more conveniently, thereby increasing the accuracy of this method in recording data.

[0057] Example 2: Please refer to Figure 4 The present embodiment differs from the first embodiment in that: a method for monitoring the state of wind power equipment based on the Internet of Things, characterized in that it comprises the following steps:

[0058] Step 1: Monitor the equipment speed and current flow of each group of wind power equipment, and record and store the data in real time;

[0059] Step 2: receiving data such as equipment speed and current flow of each group of wind power equipment, and storing each group of data;

[0060] Step 3: Establish a data transmission base station between each group of wind power equipment so that the base station covers each group of wind power equipment, and mark the location of each group of wind power equipment and its corresponding model and other information to better transmit each group of data;

[0061] Step 4: Calculate the average operation time of each group of wind power equipment by calculating the data between each group of wind power equipment, and the data error of each group of wind power equipment can be obtained through the average operation time of the wind power equipment, so as to further verify the actual operation of each group of wind power equipment;

[0062] Step 5: Integrate the data sent back by the data transmission base station to obtain a real-time data model of each group of wind power equipment;

[0063] Step 6: Check the data transmitted by each group of wind power equipment through the real-time data model, and check the data through the calculated error, so as to determine the actual operating status of each group of wind power equipment by using the data model;

[0064] When real-time detection is performed on each group of wind power equipment data, the blade speed, gearbox temperature and transmission current flow of the wind power equipment will be monitored, so that the real-time operation of the wind power equipment can be monitored without the need for on-site inspection and monitoring, and the operation status of the wind power equipment can be better calculated; when the data on blade speed, gearbox temperature and transmission current flow are transmitted, a data storage device can be used to uniformly store the data, and the data storage device sends each group of data to a data transmission base station for transmission; when blade speed monitoring is performed, the blades are monitored in real time through eddy current sensors or optical sensors;

[0065] When it is determined that the wind power equipment is operating abnormally, an emergency message can be automatically sent to ask for help, so that the staff can repair the designated wind power equipment, or the circuit inside the designated wind power equipment can be disconnected through remote equipment to stop power generation;

[0066] When it is determined that the wind power equipment is operating abnormally, the data set will be marked and transmitted to the data storage as a second mark, so that the data in the specified time period will affect the real-time data model, which is convenient for the administrator to observe;

[0067] The circuit structure inside the wind power equipment can be disconnected by controlling it through the Internet of Things. An isolating switch or a circuit breaker can be used to connect the circuit. When the Internet of Things transmits a maintenance signal, the isolating switch or circuit breaker is started by controlling the signal to isolate the circuit.

[0068] Thereby completing a series of tasks, the contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0069] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A method for monitoring the status of wind power equipment based on the Internet of Things, characterized in that: The steps include: Step 1: Monitor the equipment speed and current flow of each group of wind power equipment, and record and store the data in real time; Step 2: receiving data such as equipment speed and current flow of each group of wind power equipment, and storing each group of data; Step 3: Establish a data transmission base station between each group of wind power equipment so that the base station covers each group of wind power equipment, and mark the location of each group of wind power equipment and its corresponding model and other information to better transmit each group of data; Step 4: Calculate the average operation time of each group of wind power equipment by calculating the data between each group of wind power equipment, and the data error of each group of wind power equipment can be obtained through the average operation time of the wind power equipment, so as to further verify the actual operation of each group of wind power equipment; Step 5: Integrate the data sent back by the data transmission base station to obtain a real-time data model of each group of wind power equipment; Step 6: Verify the data transmitted by each group of wind power equipment through the real-time data model, and verify the data through the calculated error, so as to use the data model to determine the actual operating status of each group of wind power equipment.

2. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 1, characterized in that: When performing real-time detection on each group of wind power equipment data, the blade speed, gearbox temperature and transmission current flow of the wind power equipment will be monitored. This allows the real-time operation of the wind power equipment to be monitored without the need for on-site monitoring, and the operating status of the wind power equipment to be better calculated.

3. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 2, characterized in that: When transmitting data on blade rotation speed, gearbox temperature and transmission current flow, a data storage device may be used to uniformly store the data, and the data storage device may send each set of data to a data transmission base station for transmission.

4. The method for monitoring the status of wind power equipment based on the Internet of Things according to claim 3 is characterized in that: When receiving the data monitored by each group of wind power equipment, the data transmission base station will mark the data monitored by each group of wind power equipment through the associated equipment tags preset by the administrator, so that the data transmission base station will not have transmission confusion when transmitting the data of each group of wind power equipment, making it more convenient for the administrator to receive the data.

5. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 4, characterized in that: The actual operation status of wind power equipment is calculated through the data of blade speed, gear box temperature and transmission current flow of each group of wind power equipment transmitted by the data transmission base station, so that the administrator can obtain the average blade speed, gear temperature and transmission current flow of each group of wind power equipment, and calculate the data error value of each group of wind power equipment through the average duration data of multiple groups, so as to compare the operation status of wind power equipment in different time periods.

6. The method for monitoring the status of wind power equipment based on the Internet of Things according to claim 5, characterized in that: When the real-time data model is established, three sets of models for blade speed, gear temperature and transmission current flow can be established, which can make comparison more convenient, and the administrator can merge the real-time data model by adding regional wind speed or other information as additional data.

7. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 6, characterized in that: When calculating the data of each group of wind power equipment, three sets of real-time data models of blade speed, gear temperature and transmission current flow are compared with the average operating data to find out the difference between the two. The real-time data model is compared with the data error value to judge the actual operating status of the wind power equipment.

8. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 7, characterized in that: When calculating the data of each group of wind power equipment, if the data is inaccurate or the error is large, the specified data information can be transmitted back to the data storage device of the group of wind power equipment, and the data can be marked and retransmitted. When the data is calculated for the second time, if the error is still greater than the error value, it is determined that the wind power equipment is operating abnormally.

9. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 8, characterized in that: When it is determined that the wind power equipment is operating abnormally, an emergency message can be automatically sent to ask for help, so that the staff can repair the designated wind power equipment, or the circuit inside the designated wind power equipment can be disconnected through remote equipment to stop power generation.

10. The method for monitoring the state of wind power equipment based on the Internet of Things according to claim 9, characterized in that: When it is determined that the wind power equipment is operating abnormally, the group of data will be marked and transmitted to the data storage as a second mark, so that the data in the specified time period will affect the real-time data model, making it easier for administrators to observe.

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