Real-time online monitoring system and method for inclination angle of tower

Abstract

The invention relates to the field of tower inclination angle measurement, and particularly discloses a tower inclination angle real-time online monitoring system and method, a rear-end platform obtains meteorological data of a target area in a future time period, and obtains predicted wind power from the meteorological data in the future time period; acquiring an acquisition level of the tilt angle sensor in a future time period in the target area according to the predicted wind power; generating an inclination angle acquisition instruction according to the acquisition level, and transmitting the inclination angle acquisition instruction to a tower end platform through the server; the tower end platform configures a reserved bandwidth of a future time period for the tower inclination angle real-time detection value transmission task according to the inclination angle acquisition instruction; adjusting the acquisition frequency of the tilt angle sensor according to the tilt angle acquisition instruction in a future time period; and sending the real-time detection value of the inclination angle of the tower to a rear-end platform through the server. The sampling frequency is adjusted according to the wind power condition, timely and accurate transmission of data under the severe weather condition is guaranteed, and the monitoring effectiveness of the inclination condition of the tower is improved.

Description

Technical Field

[0001] The invention relates to the field of pole tower inclination measurement, and in particular to a pole tower inclination real-time online monitoring system and method. Background Art

[0002] In the power system, poles and towers are important supporting structures for transmission lines, and their stability is related to the safe operation of the power grid. However, poles and towers are often affected by various environmental factors (such as wind, rain, snow, etc.), especially wind force, which may cause the poles and towers to tilt, thus affecting the safety and reliability of the transmission lines.

[0003] To ensure the stability of the tower, existing technologies can monitor the inclination angle of the tower in real time online. However, existing online monitoring systems often lack the ability to dynamically adjust monitoring strategies according to meteorological conditions, resulting in unreasonable data collection frequency, which not only increases the burden of data transmission and storage, but also may miss key information. Especially in severe weather conditions, if the sensor's collection frequency and transmission bandwidth cannot be adjusted in time, the monitoring data may not be transmitted to the back-end platform in a timely and accurate manner, affecting the judgment of the tower's inclination and emergency response. Summary of the invention

[0004] To solve the above problems, the present invention provides a real-time online monitoring system and method for pole tower inclination, which adjusts the sampling frequency according to wind conditions to ensure timely and accurate transmission of data under severe weather conditions, thereby improving the effectiveness of monitoring the pole tower inclination.

[0005] In a first aspect, the technical solution of the present invention provides a real-time online monitoring system for tower inclination, comprising: Inclination sensor, used to detect the inclination of the tower; The tower end platform is used to send the real-time detection value of the tower inclination to the server through the network, receive the inclination collection instruction sent by the back-end platform, adjust the collection frequency of the inclination sensor in the future period according to the inclination collection instruction, and configure the reserved bandwidth in the future period for the transmission task of the real-time detection value of the tower inclination when the collection frequency is greater than the threshold; The server is used to transmit the real-time detection value of the tower inclination sent by the tower end platform to the back-end platform, and transmit the inclination collection instruction sent by the back-end platform to the tower end platform; The back-end platform is used to obtain the meteorological data of the target area in the future period, obtain the predicted wind force from the meteorological data in the future period, obtain the collection level of the inclination sensor in the target area in the future period according to the predicted wind force, and generate the inclination collection instruction from the collection level and transmit it to the tower end platform through the server.

[0006] In an optional embodiment, it also includes: On-site wind sensors are used to detect the actual wind force at the tower site in real time.

[0007] In an optional implementation, the tower end platform is also used to adjust the acquisition frequency of the tilt sensor according to the actual wind force at the tower site.

[0008] In a second aspect, the technical solution of the present invention provides a method for real-time online monitoring of a tower inclination, comprising the following steps: The backend platform obtains the meteorological data of the target area in the future period, and obtains the predicted wind speed from the meteorological data in the future period; Obtain the collection level of the tilt sensor in the target area in the future period according to the predicted wind force; The acquisition level generates the inclination acquisition instruction and transmits it to the tower end platform through the server; The tower end platform configures the reserved bandwidth for the future period for the task of transmitting the real-time detection value of the tower inclination according to the inclination collection instruction; Adjusting the collection frequency of the inclination sensor according to the inclination collection instruction in the future period; The real-time detection value of the tower inclination is sent to the back-end platform through the server.

[0009] In an optional implementation, obtaining the collection level of the tilt sensor in the target area in the future period according to the predicted wind force specifically includes: Retrieve the wind power collection level relationship table, which contains the collection levels corresponding to different wind power ranges; Match the predicted wind force with each wind force range in the wind force acquisition level relationship table until an appropriate wind force range is matched; The collection level corresponding to the adapted wind force range is used as the collection level of the tilt sensor in the target area in the future period.

[0010] In an optional implementation, the tower end platform configures a reserved bandwidth for a future period for the tower inclination real-time detection value transmission task according to the inclination acquisition instruction, specifically including: Analyze the inclination acquisition instruction to obtain the acquisition level; Check whether the collection level exceeds the level threshold; If yes, retrieve the acquisition level bandwidth relationship table, which contains the bandwidths corresponding to different acquisition levels; Match the acquisition level with each acquisition level in the acquisition level bandwidth relationship table until a consistent acquisition level is matched; The bandwidth corresponding to the consistent collection level is used as the reserved bandwidth; Send a bandwidth reservation request to the network to obtain the reserved bandwidth for the future period.

[0011] In an optional implementation, adjusting the acquisition frequency of the inclination sensor according to the inclination acquisition instruction in the future period specifically includes: Retrieve the collection level frequency relationship table, which contains the collection frequencies corresponding to different collection levels; Matching each acquisition level in the acquisition level and acquisition level frequency relationship table contained in the inclination acquisition instruction until a consistent acquisition level is matched; The acquisition frequency corresponding to the consistent acquisition level is used as the acquisition frequency for adjusting the tilt sensor; Check whether the future time period has been reached; If yes, call the acquisition frequency configuration interface of the tilt sensor; The acquisition frequency of the inclination sensor is configured through the acquisition frequency configuration interface.

[0012] In an optional embodiment, the method further comprises the following steps: The tower end platform detects the actual wind force at the tower site in real time through the on-site wind sensor; Retrieve the wind power collection level relationship table; Match the actual wind force at the tower site with each wind force range in the wind force collection level relationship table until an appropriate wind force range is found; The collection level corresponding to the adapted wind force range is used as the auxiliary sampling level; The auxiliary sampling level is detected and compared with the acquisition level contained in the inclination acquisition instruction; If the difference between the two exceeds the threshold, the larger acquisition level is used as the actual acquisition level; Adjust the acquisition frequency of the tilt sensor according to the actual acquisition level.

[0013] The real-time online monitoring system and method for tower inclination provided by the present invention have the following beneficial effects compared with the prior art: meteorological data of the target area in the future period is obtained through the back-end platform, and the collection level and collection frequency of the inclination sensor are dynamically adjusted according to the predicted wind force, so as to realize dynamic adjustment of the collection frequency, ensure more and faster collection of data under severe weather conditions, and less and slower collection of data under normal weather conditions, so as to realize rational utilization of resources, and at the same time, configure appropriate bandwidth for more and faster collection of data to ensure timely and accurate data transmission, avoid data transmission delay or loss due to network congestion, and thus improve the effectiveness of real-time online monitoring of tower inclination. BRIEF DESCRIPTION OF THE DRAWINGS In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0014] Figure 1 The present invention provides a schematic block diagram of the structure of a real-time online monitoring system for tower inclination.

[0015] Figure 2 The present invention provides a flowchart of a method for real-time online monitoring of a tower inclination. DETAILED DESCRIPTION

[0016] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0017] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0018] Figure 1 The present invention provides a schematic structural diagram of a real-time online monitoring system for a pole tower inclination, which includes a tilt sensor, a pole tower end platform, a back-end platform and a server.

[0019] The inclination sensor is used to detect the inclination of the tower. The inclination sensor can be an acceleration sensor or other forms of inclination sensors. Users can choose the appropriate inclination sensor according to their needs.

[0020] The pole tower end platform is used to send the real-time detection value of the pole tower inclination to the server through the network, receive the inclination acquisition instruction sent by the back-end platform, adjust the acquisition frequency of the inclination sensor in the future time period according to the inclination acquisition instruction, and configure the reserved bandwidth of the future time period for the transmission task of the real-time detection value of the pole tower inclination when the acquisition frequency is greater than the threshold. In this embodiment, the pole tower end platform will receive the inclination acquisition instruction sent by the back-end platform, and the inclination acquisition instruction contains the acquisition information of the future time period. The pole tower end platform adjusts the acquisition frequency of the inclination sensor in the future time period according to the acquisition information configuration. If the acquisition frequency to be configured is greater than the pre-configured threshold, it means that a large amount of data will be collected in the future period. In order to ensure the stability and accuracy of data transmission, the reserved bandwidth of the future time period is configured for the transmission task of the real-time detection value of the pole tower inclination. The inclination sensor performs acquisition based on the configured acquisition frequency, and the pole tower end platform transmits the data collected by the inclination sensor to the back-end platform through the server.

[0021] The server is used to transmit the real-time detection value of the tower inclination sent by the tower end platform to the back-end platform, and transmit the inclination collection instruction sent by the back-end platform to the tower end platform. In this embodiment, the server serves as a communication medium between the tower end platform and the back-end platform.

[0022] The back-end platform is used to obtain the meteorological data of the target area in the future period, obtain the predicted wind force from the meteorological data in the future period, obtain the collection level of the inclination sensor in the target area in the future period according to the predicted wind force, and transmit the collection level to generate the inclination collection instruction to the tower end platform through the server. In this embodiment, the back-end platform can obtain the meteorological data of the target area in the future period from the meteorological platform, extract the predicted wind force in the future period, and then obtain the adapted collection level based on the pre-mapped relationship, and transmit the collection level to the tower end platform in the form of the inclination collection instruction.

[0023] In an optional embodiment, in order to improve the accuracy of the collection frequency configuration, a field wind sensor is also set at the pole tower end to detect the actual wind force at the pole tower site in real time. The pole tower end platform is also used to adjust the collection frequency of the tilt sensor according to the actual wind force at the pole tower site. Specifically, the pole tower end platform adjusts the collection frequency of the tilt sensor according to the actual wind force at the site and the collection information contained in the tilt collection instruction.

[0024] An embodiment of a real-time online monitoring system for pole tower inclination is described in detail above. Based on the real-time online monitoring system for pole tower inclination described in the above embodiment, an embodiment of the present invention further provides a real-time online monitoring method for pole tower inclination corresponding to the system.

[0025] Figure 2The present invention provides a flowchart of a method for real-time online monitoring of a pole tower inclination. According to different requirements, the order of the steps in the flowchart can be changed, and some steps can be omitted.

[0026] like Figure 2 As shown, the method includes the following steps.

[0027] S1, the backend platform obtains the meteorological data of the target area in the future period, and obtains the predicted wind force from the meteorological data in the future period.

[0028] In this embodiment, the back-end platform can obtain the meteorological data of the target area in the future period from the meteorological platform, and extract the predicted wind force in the future period.

[0029] S2, obtaining the collection level of the tilt sensor in the target area in the future period according to the predicted wind force.

[0030] S2.1, retrieve the wind power collection level relationship table, which contains the collection levels corresponding to different wind power ranges.

[0031] S2.2, matching the predicted wind force with each wind force range in the wind force collection level relationship table until an appropriate wind force range is matched.

[0032] S2.3, using the collection level corresponding to the adapted wind force range as the collection level of the tilt sensor in the target area in the future period.

[0033] This embodiment pre-configures a wind power acquisition level relationship table, which contains acquisition levels corresponding to different wind power ranges. Then, based on the relationship table, the acquisition level corresponding to the predicted wind power is found. This embodiment uses the wind power acquisition level relationship table to accurately adjust the acquisition level according to the wind power range, avoiding unnecessary frequent or inefficient acquisition by the sensor when the wind power is small or large, thereby optimizing the energy consumption and data processing resources of the sensor.

[0034] S3, generating an inclination angle acquisition instruction from the acquisition level and transmitting it to the tower end platform through the server.

[0035] S4, the tower end platform configures the reserved bandwidth for the future time period for the transmission task of the real-time detection value of the tower inclination according to the inclination collection instruction.

[0036] S4.1, parse the inclination acquisition instruction to obtain the acquisition level.

[0037] S4.2, detecting whether the collection level exceeds the level threshold.

[0038] S4.3, if yes, retrieve the acquisition level bandwidth relationship table, which contains the bandwidths corresponding to different acquisition levels.

[0039] S4.4, matching the acquisition level with each acquisition level in the acquisition level bandwidth relationship table until a consistent acquisition level is matched.

[0040] S4.5, the bandwidth corresponding to the consistent collection level is used as the reserved bandwidth.

[0041] S4.6, sending a bandwidth reservation request to the network to obtain the reserved bandwidth for the future period.

[0042] In this embodiment, when the acquisition frequency required by the back-end platform in the future period exceeds the level threshold, it means that more and faster data acquisition will be performed in the future period. In order to ensure stable and accurate data transmission, bandwidth is reserved in advance to avoid data loss and monitoring failure. In this embodiment, the tower end platform can automatically configure the reserved bandwidth for the future period according to the inclination acquisition instruction, ensuring that network resources can be reasonably allocated according to actual acquisition needs, avoiding resource waste and bottlenecks, thereby optimizing the resource utilization of the entire network.

[0043] S5, adjusting the collection frequency of the inclination sensor according to the inclination collection instruction in the future period.

[0044] S5.1, retrieve a collection level frequency relationship table, which contains collection frequencies corresponding to different collection levels.

[0045] S5.2, matching each acquisition level in the acquisition level and acquisition level frequency relationship table contained in the inclination acquisition instruction until a consistent acquisition level is matched.

[0046] S5.3, using the acquisition frequency corresponding to the consistent acquisition level as the acquisition frequency for adjusting the tilt sensor.

[0047] S5.4, detect whether the future time period has been reached.

[0048] S5.5: If yes, call the acquisition frequency configuration interface of the inclination sensor.

[0049] S5.6, configure the acquisition frequency of the tilt sensor through the acquisition frequency configuration interface.

[0050] In this embodiment, a collection level frequency relationship table is pre-configured on the tower end platform, which contains collection frequencies corresponding to different collection levels. Based on the relationship table, the collection frequency that is compatible with the collection level contained in the inclination collection instruction is found, and then the collection frequency of the inclination sensor is configured through the collection frequency configuration interface when the future time period is reached.

[0051] In an optional embodiment, the tower end platform further performs the following steps.

[0052] Step 1: The tower end platform detects the actual wind force at the tower site in real time through the on-site wind sensor.

[0053] Step 2: retrieve the wind power collection level relationship table.

[0054] Step 3, matching the actual wind force at the tower site with each wind force range in the wind force collection level relationship table until an adapted wind force range is matched.

[0055] Step 4: Use the collection level corresponding to the adapted wind speed range as the auxiliary sampling level.

[0056] Step 5, compare the auxiliary sampling level with the acquisition level included in the inclination acquisition instruction.

[0057] Step 6: If the difference between the two exceeds the threshold, the larger acquisition level is used as the actual acquisition level.

[0058] Step 7: Adjust the acquisition frequency of the tilt sensor according to the actual acquisition level.

[0059] In this optional implementation, in addition to configuring the collection frequency according to the wind force predicted by the backend platform, the collection frequency is also configured in combination with the actual wind force on site. To ensure effective data collection, when the difference between the two is large, the collection level corresponding to the larger wind force is selected to adjust the collection frequency. It should be noted that the actual wind force on site can be selected as the average value of the wind force over a period of time to improve accuracy.

[0060] S6, sending the real-time detection value of the tower inclination angle to the back-end platform through the server.

[0061] In this embodiment, the pole tower end platform sends the real-time detection value of the pole tower inclination angle to the back-end platform through the server. The monitoring personnel monitor the pole tower inclination angle in real time on the back-end platform, and can promptly discover hidden dangers and perform maintenance to ensure the normal operation of the pole tower.

[0062] The above disclosure is only a preferred embodiment of the present invention, but the present invention is not limited thereto. Any non-creative changes that can be thought of by a person skilled in the art, as well as several improvements and modifications made without departing from the principle of the present invention, should fall within the protection scope of the present invention.

Claims

1. A real-time online monitoring system for tower inclination, characterized in that: include: Tilt sensor, used to detect the tilt of the tower; The tower end platform is used to send the real-time detection value of the tower inclination to the server through the network, receive the inclination collection instruction sent by the back-end platform, adjust the collection frequency of the inclination sensor in the future period according to the inclination collection instruction, and configure the reserved bandwidth in the future period for the transmission task of the real-time detection value of the tower inclination when the collection frequency is greater than the threshold; The server is used to transmit the real-time detection value of the tower inclination sent by the tower end platform to the back-end platform, and transmit the inclination collection instruction sent by the back-end platform to the tower end platform; The back-end platform is used to obtain the meteorological data of the target area in the future period, obtain the predicted wind force from the meteorological data in the future period, obtain the collection level of the inclination sensor in the target area in the future period according to the predicted wind force, and generate the inclination collection instruction from the collection level and transmit it to the tower end platform through the server.

2. The real-time online monitoring system for tower inclination according to claim 1 is characterized in that: Also includes: On-site wind sensors are used to detect the actual wind force at the tower site in real time.

3. The real-time online monitoring system for tower inclination according to claim 2 is characterized in that: The tower end platform is also used to adjust the collection frequency of the tilt sensor according to the actual wind force at the tower site.

4. A real-time online monitoring method for tower inclination, characterized in that: The following steps are involved: The backend platform obtains the meteorological data of the target area in the future period, and obtains the predicted wind speed from the meteorological data in the future period; Obtain the collection level of the tilt sensor in the target area in the future period according to the predicted wind force; The acquisition level generates the inclination acquisition instruction and transmits it to the tower end platform through the server; The tower end platform configures the reserved bandwidth for the future period for the task of transmitting the real-time detection value of the tower inclination according to the inclination collection instruction; Adjusting the collection frequency of the inclination sensor according to the inclination collection instruction in the future period; The real-time detection value of the tower inclination is sent to the back-end platform through the server.

5. The real-time online monitoring method for tower inclination according to claim 4 is characterized in that: According to the predicted wind force, the collection level of the tilt sensor in the target area in the future period is obtained, including: Retrieve the wind power collection level relationship table, which contains the collection levels corresponding to different wind power ranges; Match the predicted wind force with each wind force range in the wind force acquisition level relationship table until an appropriate wind force range is matched; The collection level corresponding to the adapted wind force range is used as the collection level of the tilt sensor in the target area in the future period.

6. The real-time online monitoring method for tower inclination according to claim 5 is characterized in that: The tower end platform configures the reserved bandwidth for the future period for the transmission task of the real-time detection value of the tower inclination according to the inclination collection instruction, including: Analyze the inclination acquisition instruction to obtain the acquisition level; Check whether the collection level exceeds the level threshold; If yes, retrieve the acquisition level bandwidth relationship table, which contains the bandwidths corresponding to different acquisition levels; Match the acquisition level with each acquisition level in the acquisition level bandwidth relationship table until a consistent acquisition level is matched; The bandwidth corresponding to the consistent collection level is used as the reserved bandwidth; Send a bandwidth reservation request to the network to obtain the reserved bandwidth for the future period.

7. The real-time online monitoring method for tower inclination according to claim 6 is characterized in that: In the future period, the acquisition frequency of the inclination sensor is adjusted according to the inclination acquisition instruction, including: Retrieve the collection level frequency relationship table, which contains the collection frequencies corresponding to different collection levels; Matching each acquisition level in the acquisition level and acquisition level frequency relationship table contained in the inclination acquisition instruction until a consistent acquisition level is matched; The acquisition frequency corresponding to the consistent acquisition level is used as the acquisition frequency for adjusting the tilt sensor; Check whether the future time period has been reached; If yes, call the acquisition frequency configuration interface of the tilt sensor; The acquisition frequency of the inclination sensor is configured through the acquisition frequency configuration interface.

8. The real-time online monitoring method for tower inclination according to claim 7 is characterized in that: The following steps are also included: The tower end platform detects the actual wind force at the tower site in real time through the on-site wind sensor; Retrieve the wind power collection level relationship table; Match the actual wind force at the tower site with each wind force range in the wind force collection level relationship table until an appropriate wind force range is found; The collection level corresponding to the adapted wind force range is used as the auxiliary sampling level; The auxiliary sampling level is detected and compared with the acquisition level contained in the inclination acquisition instruction; If the difference between the two exceeds the threshold, the larger acquisition level is used as the actual acquisition level; Adjust the acquisition frequency of the tilt sensor according to the actual acquisition level.

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