Mechanical load monitoring method, device and equipment of power transmission line and storage medium

Abstract

The invention relates to a mechanical load monitoring method and device for a power transmission line, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring current meteorological environment data of the power transmission line and a correlation relationship between the meteorological environment data and icing state data of the power transmission line, determining an icing thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data, and if the icing thickness is not greater than the icing thickness, determining the icing state of the power transmission line. If it is determined that the current mechanical load monitoring condition is met, mechanical load monitoring is conducted on the power transmission line, a mechanical load value is obtained, and if it is determined that the mechanical load value is in a descending trend and the icing thickness is not increased any more, mechanical load monitoring is stopped, and a target mechanical load value corresponding to the power transmission line is obtained. By adopting the method, the monitoring strength of the power transmission line of the power system in different meteorological environments can be improved, and safe and stable operation of the power system is ensured.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for monitoring mechanical load of a transmission line. Background Art

[0002] With the development of electric power technology and the promotion and application of transmission lines in different meteorological environments, when transmission lines are used in severe meteorological environments, they are prone to sudden impact forces, which makes the transmission lines bear huge transient mechanical loads. If the transmission lines are subjected to strong mechanical shocks for a long time, the speed of damage to the transmission line towers will be accelerated, and the service life will be shortened, and even irreversible disasters such as broken wires, tilted towers and collapsed towers will be caused, which will pose a great threat to the safety and stable operation of the power system. In order to ensure the safety and stable operation of the power system, it is necessary to pay attention to and monitor the transient mechanical loads of the transmission lines in different meteorological environments.

[0003] However, due to the wide distribution of transmission lines and the existence of a variety of severe weather environments, the current attention and monitoring of the transient mechanical loads of transmission lines in different meteorological environments still have the defects of small monitoring range and incompleteness, and it is impossible to pay attention to and solve abnormal problems in time. The safety performance of the power system still needs to be improved. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for mechanical load monitoring of transmission lines that can enhance the monitoring of transmission lines of the power system under different meteorological environments and ensure the safe and stable operation of the power system in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for monitoring mechanical load of a transmission line, comprising:

[0006] Acquire current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line;

[0007] Determining the ice thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data;

[0008] If it is determined that the mechanical load monitoring condition is currently met according to the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value;

[0009] If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the power transmission line.

[0010] In a second aspect, the present application also provides a mechanical load monitoring device for a power transmission line, comprising:

[0011] A current meteorological environment data acquisition module is used to acquire the current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line;

[0012] An ice thickness determination module, used to determine the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data;

[0013] A mechanical load monitoring module, configured to perform mechanical load monitoring on the transmission line to obtain a mechanical load value if it is determined that the mechanical load monitoring condition is currently met according to the ice thickness;

[0014] The target mechanical load value obtaining module is used to stop mechanical load monitoring and obtain a target mechanical load value corresponding to the power transmission line if it is determined that the mechanical load value is in a downward trend and the ice thickness is no longer increasing.

[0015] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0016] Acquire current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line;

[0017] Determining the ice thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data;

[0018] If it is determined that the mechanical load monitoring condition is currently met according to the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value;

[0019] If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the power transmission line.

[0020] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0021] Acquire current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line;

[0022] Determining the ice thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data;

[0023] If it is determined that the mechanical load monitoring condition is currently met according to the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value;

[0024] If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the power transmission line.

[0025] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0026] Acquire current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line;

[0027] Determining the ice thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data;

[0028] If it is determined that the mechanical load monitoring condition is currently met according to the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value;

[0029] If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the power transmission line.

[0030] In the above-mentioned transmission line mechanical load monitoring method, device, computer equipment, computer-readable storage medium and computer program product, by obtaining the current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data of the transmission line and the ice state data, the ice thickness corresponding to the transmission line can be quickly and accurately determined according to the correlation relationship and the current meteorological environment data, thereby reducing error data. Furthermore, if it is determined that the mechanical load monitoring conditions are currently met according to the ice thickness, the transmission line is mechanically loaded to obtain the mechanical load value, and when it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped in time to obtain the target mechanical load value corresponding to the transmission line, thereby accurately obtaining the target mechanical load value under the current meteorological environment, providing an accurate reference basis for the design, inspection / reinforcement and other maintenance work of the transmission line, and providing hidden danger warning and protection improvement measures for iced transmission lines. The monitoring of the transmission lines of the power system under different meteorological environments is enhanced to ensure the safe and stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A diagram showing an application environment of a method for monitoring mechanical load of a power transmission line in one embodiment;

[0033] Figure 2 A schematic flow chart of a method for monitoring mechanical load of a power transmission line in one embodiment;

[0034] Figure 3 Schematic diagram of a maximum ice coverage state determination process in one embodiment;

[0035] Figure 4 A schematic flow chart of a method for monitoring mechanical load of a power transmission line in another embodiment;

[0036] Figure 5 A schematic diagram of a deicing state determination process in one embodiment;

[0037] Figure 6 A schematic diagram of a flow chart of a method for monitoring mechanical load of a power transmission line in yet another embodiment;

[0038] Figure 7 A schematic diagram of a process for judging a strong wind dancing state in an embodiment;

[0039] Figure 8 It is a schematic flow chart of a method for monitoring mechanical load of a power transmission line in another embodiment;

[0040] Fig. 9 A schematic diagram of a correlation relationship determination process in one embodiment;

[0041] Fig.10 It is a schematic diagram of the overall process of mechanical load monitoring of a power transmission line in one embodiment;

[0042] Fig.11 is a structural block diagram of a mechanical load monitoring device for a power transmission line in one embodiment;

[0043] Fig.12 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] The mechanical load monitoring method of the power transmission line in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the power device 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. Among them, the power device 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices, portable wearable devices, and aircraft, etc. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, and projection devices. Portable wearable devices can be smart watches, smart bracelets, and head-mounted devices. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 can be an independent physical server, or a server cluster composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The power device 102 and the server 104 may be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiments of the present application.

[0046] Among them, the power equipment 102 and the server 104 can be used alone to perform the mechanical load monitoring method for the transmission line provided in the embodiment of the present application, and the power equipment 102 and the server 104 can also cooperate to perform the mechanical load monitoring method for the transmission line provided in the embodiment of the present application. For example, taking the power equipment 102 and the server 104 cooperating to perform the mechanical load monitoring method for the transmission line provided in the embodiment of the present application as an example, the server 104 obtains the current meteorological environment data of the transmission line that realizes the power transmission of multiple power equipment 102, and the correlation relationship between the meteorological environment data and the ice state data of the transmission line, and determines the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data. Further, if the server 104 determines that the mechanical load monitoring condition is currently met according to the ice thickness, the mechanical load monitoring of the transmission line is performed to obtain the mechanical load value, and when it is determined that the mechanical load value is in a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped to obtain the target mechanical load value corresponding to the transmission line. Among them, after the server 104 obtains the target mechanical load value corresponding to the transmission line, it can display the target mechanical load value or feedback it to the power equipment 102 for display, so that the staff can perform transmission line design, inspection / reinforcement and other maintenance work according to the target mechanical load value to ensure the safe and stable operation of the power system.

[0047] In an exemplary embodiment, Figure 2 As shown, a method for monitoring the mechanical load of a transmission line is provided. Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S202 to S208. Among them:

[0048] Step S202, obtaining current meteorological environment data of the power transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the power transmission line.

[0049] Specifically, the server obtains current meteorological environment data of the transmission line, including meteorological environment data such as current temperature, humidity, wind speed, and wind direction of the transmission line, and obtains the correlation between the meteorological environment data and icing status data of the transmission line determined according to historical data of the transmission line (including historical meteorological environment data and historical icing data), for example, the server obtains the correlation between the temperature, humidity, wind speed, and wind direction of the transmission line and the icing status data within a preset period.

[0050] Among them, ice coverage data is used to characterize the ice coverage status of the transmission line, such as no ice coverage, or ice coverage of XX% and ice thickness of A cm, or completely ice coverage and ice thickness of B cm, etc. The historical ice coverage data can be understood as the ice coverage status data presented by the transmission line in a certain historical period, which usually covers multiple states such as no ice coverage, ice coverage of XX% and ice thickness of A cm, and completely ice coverage and ice thickness of B cm.

[0051] Step S204: determining the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data.

[0052] Specifically, after obtaining the correlation between the meteorological environment data and the icing status data of the transmission line, the server determines the correlation coefficient between each meteorological environment data and the icing status data according to the correlation relationship, including respectively determining the current temperature, humidity, wind speed, and wind direction of the transmission line, and the correlation coefficient between each and the icing status data.

[0053] Furthermore, the server determines the ice thickness corresponding to the transmission line based on the correlation coefficient between each determined meteorological environment data and the icing status data, including the current temperature, humidity, wind speed, and wind direction of the transmission line, the correlation coefficient between each and the icing status data, and the specific value of each meteorological environment data.

[0054] Step S206: If it is determined that the mechanical load monitoring condition is currently met based on the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value.

[0055] Specifically, by pre-setting an ice thickness threshold for the mechanical load monitoring condition and comparing the currently determined ice thickness with the ice thickness threshold, when the current ice thickness reaches the ice thickness threshold, it is determined that the mechanical load monitoring condition is currently met, and mechanical load monitoring is performed on the transmission line to obtain the mechanical load value.

[0056] Among them, due to the severe weather environment, the transmission line is prone to be subjected to sudden impact force, causing the transmission line to be subjected to extremely large transient mechanical loads. If the transmission line is subjected to strong mechanical impact for a long time (that is, the transmission line is subjected to extremely large transient mechanical loads for a long time), the speed of damage will be accelerated and the service life will be shortened. Therefore, it is necessary to monitor the maximum mechanical load currently borne by the transmission line in real time, that is, it is necessary to determine whether the maximum mechanical load monitoring conditions are currently met, and when the maximum mechanical load monitoring conditions are currently met, the transmission line is mechanically loaded, the mechanical load value of the transmission line is continuously obtained, and the maximum mechanical load value is determined based on the continuously obtained mechanical load value.

[0057] Step S208: If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the transmission line.

[0058] Specifically, if the server determines that the mechanical load value is on a downward trend (i.e., the monitored mechanical load value no longer increases, but decreases over time) and the ice thickness no longer increases (i.e., the ice thickness predicted based on the correlation relationship and current meteorological environment data no longer increases over time), it indicates that the mechanical load monitoring stop conditions have been met, and the mechanical load monitoring will be stopped. The mechanical load value obtained before the monitoring is stopped will be determined as the target mechanical load value corresponding to the transmission line.

[0059] In an exemplary embodiment, Figure 3 As shown, a maximum ice coverage state judgment process is provided. Figure 3 It can be seen that the maximum ice cover state judgment process specifically includes:

[0060] 1) Determine whether the current ice thickness is about to reach the maximum ice thickness. If the current ice thickness does not reach the maximum ice thickness, the control transmission line is operated according to the preset mode. 2) If the current ice thickness reaches the maximum ice thickness, the maximum load continuous monitoring is turned on. 3) Determine whether the mechanical load value decreases over time. 4) If the mechanical load value decreases over time, determine whether the ice thickness continues to increase. 5) If the mechanical load value decreases over time and the ice thickness no longer continues to increase, exit the maximum load continuous monitoring. 6) The mechanical load value obtained before exiting the maximum load continuous monitoring is determined as the maximum mechanical load value corresponding to the transmission line.

[0061] In the above-mentioned method for monitoring the mechanical load of the transmission line, the current meteorological environment data of the transmission line and the correlation relationship between the meteorological environment data of the transmission line and the ice state data are obtained, so as to quickly and accurately determine the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data, thereby reducing error data. Furthermore, if it is determined that the mechanical load monitoring conditions are currently met according to the ice thickness, the transmission line is mechanically monitored to obtain the mechanical load value, and when it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped in time to obtain the target mechanical load value corresponding to the transmission line, thereby accurately obtaining the target mechanical load value under the current meteorological environment, providing an accurate reference basis for the design, inspection / reinforcement and other maintenance work of the transmission line, and providing hidden danger warning and protection improvement measures for iced transmission lines. The monitoring of the transmission lines of the power system under different meteorological environments is enhanced to ensure the safe and stable operation of the power system.

[0062] In an exemplary embodiment, Figure 4As shown, a method for monitoring the mechanical load of a transmission line is provided. Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S402 to S414. Among them:

[0063] Step S402, obtaining current meteorological environment data of the power transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the power transmission line.

[0064] Specifically, the server obtains current meteorological environment data of the transmission line, including meteorological environment data such as current temperature, humidity, wind speed, and wind direction of the transmission line, and obtains the correlation between the meteorological environment data and icing status data of the transmission line determined according to historical data of the transmission line (including historical meteorological environment data and historical icing data), for example, the server obtains the correlation between the temperature, humidity, wind speed, and wind direction of the transmission line and the icing status data within a preset period.

[0065] Step S404: Determine the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data.

[0066] Specifically, the server determines the correlation coefficient between each meteorological environment data and the icing status data based on the correlation between the meteorological environment data and the icing status data of the transmission line, including respectively determining the correlation coefficient between the current temperature, humidity, wind speed, and wind direction of the transmission line and the icing status data.

[0067] Furthermore, the server determines the ice thickness corresponding to the transmission line based on the correlation coefficient between each determined meteorological environment data and the icing status data, including the current temperature, humidity, wind speed, and wind direction of the transmission line, the correlation coefficient between each and the icing status data, and the specific value of each meteorological environment data.

[0068] Step S406: If it is determined that the power transmission line is in an ice-covered state according to the ice thickness, current data corresponding to the power transmission line is continuously acquired.

[0069] Specifically, if the server determines that the transmission line is in an ice-covered state based on the ice thickness, for example, when the ice thickness is greater than a preset thickness value (for example, the ice thickness is greater than 1 cm), the server determines that the transmission line is in an ice-covered state, and then continuously obtains the current data of the transmission line.

[0070] Step S408, if it is determined that the rising rate of the current data is greater than the preset rate, or it is determined that the ice thickness is no longer increasing, the acquisition frequency of the tension sensor is set to the preset frequency, and the sampling value of the tension sensor when continuously sampling at the preset frequency is obtained.

[0071] Specifically, the server continuously obtains the current data of the transmission line, and determines the rising rate of the current data in the current time period according to the current data continuously obtained at multiple different time points.

[0072] Specifically, the server obtains the preset rate set for the rising rate of the current data, and compares the rising rate of the current data in the current time period with the preset rate. When it is determined that the rising rate of the current data is greater than the preset rate, the collection frequency of the tension sensor is set to the preset frequency.

[0073] Similarly, if the server determines that the transmission line is in an ice-covered state and the ice thickness is no longer increasing, the acquisition frequency of the tension sensor also needs to be set to a preset frequency. The preset frequency can be set and adjusted according to actual needs and specific application scenarios, such as 10HZ, 15HZ, and other different values.

[0074] Furthermore, after the server sets the acquisition frequency of the tension sensor to the preset frequency, the tension sensor performs continuous sampling at the preset frequency, thereby further obtaining the sampling value when the tension sensor performs continuous sampling at the preset frequency.

[0075] Step S410: If the sampled value suddenly changes, determine the sudden change value corresponding to the sampled value.

[0076] Specifically, the server obtains the sampling value of the tension sensor when it performs continuous sampling at a preset frequency, and determines whether the sampling value has mutated based on the sampling values ​​collected at different time points, such as judging whether the value difference between at least two sampling values ​​at adjacent time points is too large. If the value difference between at least two sampling values ​​at adjacent time points is too large, that is, the sampling value has mutated, then the mutation value corresponding to the sampling value is determined.

[0077] Step S412: If it is determined that the mechanical load monitoring condition is currently met based on the mutation value, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value.

[0078] Specifically, by obtaining a pre-set critical value for the mutation value and comparing the currently determined mutation value with the pre-set critical value, if it is determined that the mutation value reaches the pre-set critical value, it is determined that the mechanical load monitoring condition is currently met.

[0079] Furthermore, when the mechanical load monitoring conditions are currently met, the transmission line is subjected to mechanical load monitoring to obtain the mechanical load value. In particular, because in severe meteorological environments, the transmission line is easily subjected to sudden impact forces, causing the transmission line to be subjected to extremely large transient mechanical loads. If the transmission line is subjected to strong mechanical impacts for a long time (i.e., the transmission line is subjected to extremely large transient mechanical loads for a long time), the speed of damage will be accelerated and the service life will be shortened. Specifically, it is necessary to monitor the maximum mechanical load currently borne by the transmission line in real time, i.e., it is necessary to determine whether the maximum mechanical load monitoring conditions are currently met, and when the maximum mechanical load monitoring conditions are currently met, the transmission line is subjected to mechanical load monitoring, the mechanical load value of the transmission line is continuously obtained, and the maximum mechanical load value is determined based on the continuously obtained mechanical load value.

[0080] Step S414, when the sampling value tends to be stable, stop the mechanical load monitoring and obtain the target mechanical load value corresponding to the transmission line.

[0081] Specifically, during the mechanical load monitoring process, the sampling value of the tension sensor when it performs continuous sampling at a preset frequency is obtained in real time, and when it is determined that the sampling value tends to be stable, that is, when the tension value is determined to be decreasing and stable, it indicates that the mechanical load monitoring stop condition is currently reached, and the mechanical load monitoring will be stopped, and the mechanical load value obtained before stopping the monitoring will be determined as the target mechanical load value corresponding to the transmission line.

[0082] In an exemplary embodiment, Figure 5 As shown, a de-icing state judgment process is provided, referring to Figure 5 It can be seen that the de-icing state judgment process specifically includes:

[0083] 1) When it is determined that the transmission line is in an ice-covered state according to the ice thickness, the de-icing monitoring preparatory state is entered. 2) It is determined whether the rising rate of the current data is greater than the preset rate. 3) It is determined whether the ice thickness stops increasing. 4) If it is determined that the rising rate of the current data is greater than the preset rate, or it is determined that the ice thickness is no longer increasing, the acquisition frequency of the tension sensor is set to the preset frequency, and the sampling value of the tension sensor when continuously sampling at the preset frequency is obtained. 5) It is determined whether the mutation value of the sampling value is greater than the preset critical value. 6) If the mutation value is greater than the preset critical value, the maximum load continuous monitoring is started. 7) It is determined whether the sampling value tends to be stable during the continuous monitoring process. 8) If the sampling value tends to be stable, the de-icing monitoring preparatory state and the maximum load continuous monitoring are exited. 9) The mechanical load value obtained before exiting the maximum load continuous monitoring is determined as the maximum mechanical load value corresponding to the transmission line.

[0084] In the above-mentioned method for monitoring the mechanical load of a power transmission line, by acquiring the current meteorological environment data of the power transmission line and the correlation relationship between the meteorological environment data of the power transmission line and the ice coating state data, the ice coating thickness corresponding to the power transmission line can be quickly and accurately determined according to the correlation relationship and the current meteorological environment data, thereby reducing error data. Furthermore, if it is determined that the power transmission line is in an ice coating state according to the ice coating thickness, the current data corresponding to the power transmission line is continuously acquired, and when it is determined that the rising rate of the current data is greater than the preset rate, or when it is determined that the ice coating thickness is no longer increasing, the acquisition frequency of the tension sensor is set to the preset frequency, and the sampling value when the tension sensor continuously samples at the preset frequency is acquired. Among them, if the sampling value changes suddenly, the mutation value corresponding to the sampling value is determined, and based on the mutation value, it is determined that the current mechanical load monitoring conditions are met, then the mechanical load monitoring of the transmission line is carried out to obtain the mechanical load value, and when the sampling value tends to be stable, the mechanical load monitoring is stopped to obtain the target mechanical load value corresponding to the transmission line, thereby providing an accurate reference basis for transmission line design, inspection / reinforcement and other maintenance work, and providing hidden danger warning and protection improvement measures for iced transmission lines. The effectiveness of verification, enhance the monitoring of the transmission lines of the power system under different meteorological environments, and ensure the safe and stable operation of the power system.

[0085] In an exemplary embodiment, Figure 6 As shown, a method for monitoring the mechanical load of a transmission line is provided. Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S602 to S604. Among them:

[0086] Step S602, obtaining the current meteorological environment data of the transmission line and the characteristic quantity of the insulator biaxial tilt angle, and determining the dancing characteristic quantity corresponding to the transmission line according to the current meteorological environment data and the characteristic quantity of the insulator biaxial tilt angle.

[0087] Among them, the current meteorological environment data includes the current temperature, humidity, wind speed, and wind direction of the transmission line, and the characteristic quantity of the insulator double-axis tilt angle specifically includes the insulator along-line wind deflection angle, along-line tilt angle, transverse wind deflection angle, and transverse tilt angle. Among them, when the transmission line dances in strong winds, the dance of the ground wire will cause the spatial position of the insulator string to change, so that the dancing characteristic quantity of the ground wire can be determined according to the characteristic quantity of the double-axis tilt angle of the insulator, so as to judge whether the transmission line is dancing in strong winds according to the dancing characteristic quantity.

[0088] Specifically, the current meteorological environment data includes the current temperature, humidity, wind speed, and wind direction of the transmission line. If the server determines that the wind speed value in the current meteorological environment data is greater than the preset wind speed threshold, the insulator biaxial tilt change trend is determined according to the insulator biaxial tilt angle characteristic quantity. Among them, the wind speed value of the current meteorological environment data is a prerequisite for determining whether there is strong wind dancing. Among them, the preset wind speed threshold can be set to 4m / s, that is, strong wind dancing may occur only when the wind speed value is ≥4m / s.

[0089] When the server determines that the wind speed value in the current meteorological environment data is greater than the preset wind speed threshold, it further determines whether there is strong wind dancing according to the insulator biaxial tilt angle characteristic quantities such as the insulator along-line wind deflection angle, along-line tilt angle, transverse wind deflection angle, and transverse tilt angle. Specifically, the insulator biaxial tilt change trend is determined according to the insulator along-line wind deflection angle, along-line tilt angle, transverse wind deflection angle, and transverse tilt angle data, so as to determine whether there is strong wind dancing according to the insulator biaxial tilt change trend.

[0090] For example, when the frequency of the digital line is usually below 5Hz during strong wind dancing, it is possible to determine whether strong wind dancing occurs based on the change trend (or change cycle) of the insulator dual-axis tilt monitoring value. The extracted features (including wind deviation features, wind speed features, wind direction features, and tilt features) are used to obtain the relationship between strong wind dancing and meteorology and dual-axis tilt values.

[0091] Furthermore, if the server determines that the spatial position of the insulator string has changed according to the trend of the insulator biaxial tilt change, the server determines the dancing feature quantity corresponding to the transmission line according to the biaxial tilt angle feature quantity of the insulator. The dancing feature quantity can be specifically understood as the dancing feature of the ground wire of the transmission line, including data features such as the dancing amplitude, dancing frequency, dancing direction, and position offset caused by dancing.

[0092] Step S604: if it is determined based on the dancing characteristic that the current state is in a strong wind dancing state, the mechanical load of the transmission line is monitored to obtain a mechanical load value. When the dancing characteristic reaches a preset dancing value, the mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the transmission line.

[0093] Specifically, if the server determines that the current state is in a strong wind dancing state based on the dancing characteristic quantity, such as the dancing characteristics of the ground wire of the transmission line, including dancing amplitude, dancing frequency, dancing direction, and position offset caused by dancing and other data characteristics, it determines that the mechanical load monitoring conditions are met, and performs mechanical load monitoring on the transmission line to obtain the mechanical load value.

[0094] Among them, due to the severe weather environment, the transmission line is prone to be subjected to sudden impact force, causing the transmission line to be subjected to extremely large transient mechanical loads. If the transmission line is subjected to strong mechanical impact for a long time (that is, the transmission line is subjected to extremely large transient mechanical loads for a long time), the speed of damage will be accelerated and the service life will be shortened. Therefore, it is necessary to monitor the maximum mechanical load currently borne by the transmission line in real time, that is, it is necessary to determine whether the maximum mechanical load monitoring conditions are currently met, and when the maximum mechanical load monitoring conditions are currently met, the transmission line is mechanically loaded, the mechanical load value of the transmission line is continuously obtained, and the maximum mechanical load value is determined based on the continuously obtained mechanical load value.

[0095] Furthermore, by obtaining a preset dancing amount pre-set for the dancing characteristic amount, and comparing the preset dancing amount with the dancing characteristic amount in the mechanical load monitoring, when the dancing characteristic amount reaches the preset dancing amount, it indicates that the mechanical load monitoring stop condition is currently reached, the mechanical load monitoring will be stopped, and the mechanical load value obtained before stopping the monitoring will be determined as the target mechanical load value corresponding to the transmission line.

[0096] In an exemplary embodiment, Figure 7 As shown, a process for judging the state of strong wind dancing is provided, referring to Figure 7 It can be seen that the process of judging the state of strong wind dancing specifically includes:

[0097] 1) Obtain the actual meteorological environment data currently monitored by the transmission line. 2) Obtain the monitoring value of the insulator biaxial tilt currently detected on the transmission line. 3) Determine the dancing feature quantity corresponding to the transmission line based on the current meteorological environment data and the biaxial tilt angle characteristic quantity of the insulator. 4) Determine whether the current state is a strong wind dancing state based on the dancing feature quantity. 5) If it is determined that the current state is a strong wind dancing state, perform mechanical load monitoring on the transmission line to obtain the mechanical load value until the dancing feature quantity reaches the preset dancing amount, then stop the mechanical load monitoring and obtain the target mechanical load value corresponding to the transmission line.

[0098] In the above-mentioned mechanical load monitoring method for transmission lines, by obtaining the current meteorological environment data of the transmission line and the characteristic quantity of the biaxial inclination angle of the insulator, the dancing characteristic quantity corresponding to the transmission line is determined according to the current meteorological environment data and the characteristic quantity of the biaxial inclination angle of the insulator, and when it is determined according to the dancing characteristic quantity that the current state is in a strong wind dancing state, the transmission line is mechanically loaded to monitor the mechanical load and obtain the mechanical load value until the dancing characteristic quantity reaches the preset dancing quantity, then the mechanical load monitoring is stopped to obtain the target mechanical load value corresponding to the transmission line, thereby providing an accurate reference basis for transmission line design, inspection / reinforcement and other maintenance work, and providing hidden danger warning and protection improvement measures verification for iced transmission lines, thereby enhancing the monitoring of transmission lines of power systems under different meteorological environments and ensuring safe and stable operation of power systems.

[0099] In an exemplary embodiment, Figure 8 As shown, a method for monitoring the mechanical load of a transmission line is provided, and the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S802 to S808. Among them:

[0100] Step S802, collecting historical meteorological environment data and historical ice coverage data of the transmission line within a preset period, and performing feature extraction on the historical meteorological environment data and historical ice coverage data to obtain meteorological environment features and ice coverage features corresponding to the transmission line.

[0101] Specifically, the server collects historical meteorological environment data of the transmission line within a preset period, including data such as temperature, humidity, wind speed, and wind direction of the transmission line within the preset period, and collects historical icing data of the transmission line within the preset period, that is, icing status data of the transmission line within the preset period, which may specifically include multiple states such as no icing, icing reaching XX% and icing thickness of A cm, and complete icing with icing thickness of B cm.

[0102] Furthermore, the server extracts features from historical meteorological environment data, including temperature, humidity, wind speed, and wind direction data of the transmission line within a preset period, to obtain meteorological environment characteristics corresponding to the transmission line, including temperature characteristics, humidity characteristics, wind speed characteristics, and wind direction characteristics, and obtains time characteristics according to the preset period.

[0103] Similarly, the server also needs to perform feature extraction on the historical icing data of the transmission line within a preset period, that is, the icing status data of the transmission line within a preset period, to obtain icing features corresponding to the transmission line, including icing status, icing amount, and icing thickness.

[0104] Step S804, determining the meteorological characteristic mean value of the meteorological environment characteristic and the icing characteristic mean value of the icing characteristic within a preset period.

[0105] Specifically, the server determines the mean value of the meteorological characteristics corresponding to the meteorological environment characteristics according to each meteorological environment characteristic within a preset period, and determines the mean value of the ice covering characteristics corresponding to the ice covering characteristics according to each ice covering characteristic within the preset period.

[0106] Among them, the meteorological environment characteristics specifically include temperature characteristics, humidity characteristics, wind speed characteristics, and wind direction characteristics, and the meteorological characteristic mean specifically includes: the temperature characteristic mean corresponding to the temperature characteristics, the humidity characteristic mean corresponding to the humidity characteristics, the wind speed characteristic mean corresponding to the wind speed characteristics, and the wind direction characteristic mean corresponding to the wind direction characteristics.

[0107] Step S806, determining the correlation coefficient between the meteorological environment characteristics and the ice cover characteristics according to the meteorological environment characteristics, the meteorological characteristic mean, the ice cover characteristics, and the ice cover characteristic mean.

[0108] Specifically, it is necessary to determine the correlation coefficient between the meteorological environment characteristics and the ice cover characteristics for each meteorological environment characteristic, including the correlation coefficient between the temperature characteristics and the ice cover characteristics, the correlation coefficient between the humidity characteristics and the ice cover characteristics, the correlation coefficient between the wind speed characteristics and the ice cover characteristics, and the correlation coefficient between the wind direction characteristics and the ice cover characteristics.

[0109] Specifically, for each meteorological environment feature, a correlation coefficient between each meteorological environment feature and the ice cover feature is determined according to the meteorological environment feature, the meteorological feature mean, the ice cover feature, and the ice cover feature mean.

[0110] For example, the correlation coefficient r between each meteorological environment feature and the ice cover feature is determined by the following formula (1):

[0111] ;Formula (1)

[0112] Among them, r represents the correlation coefficient between meteorological environment characteristics and ice cover characteristics, Indicates the characteristics of the meteorological environment, including temperature characteristics, humidity characteristics, wind speed characteristics, and wind direction characteristics, and may also include time characteristics. Represents the mean of meteorological characteristics, including the mean of temperature characteristics, the mean of humidity characteristics, the mean of wind speed characteristics, and the mean of wind direction characteristics. It can also include the mean of time characteristics. Indicates ice cover characteristics. Represents the mean value of ice cover characteristics.

[0113] For example, according to formula (1), the correlation coefficient r(A) between the temperature feature and the ice cover feature, the correlation coefficient r(B) between the humidity feature and the ice cover feature, the correlation coefficient r(C) between the wind speed feature and the ice cover feature, the correlation coefficient r(D) between the wind direction feature and the ice cover feature, and the correlation coefficient r(E) between the time feature and the ice cover feature can be determined respectively.

[0114] Step S808: Determine the correlation relationship between the meteorological environment data and the icing status data of the power transmission line based on the correlation coefficient, the meteorological environment characteristics, and the icing characteristics.

[0115] Specifically, according to each meteorological environment feature, ice cover feature, and the correlation coefficient between each meteorological environment feature and ice cover feature, the correlation relationship between the meteorological environment data and the ice cover status data of the transmission line can be determined.

[0116] Among them, the correlation relationship between the meteorological environment data and the icing status data of the transmission line is determined specifically according to the temperature characteristics, humidity characteristics, wind speed characteristics, wind direction characteristics, time characteristics, icing characteristics, the correlation coefficient r(A) between the temperature characteristics and the icing characteristics, the correlation coefficient r(B) between the humidity characteristics and the icing characteristics, the correlation coefficient r(C) between the wind speed characteristics and the icing characteristics, the correlation coefficient r(D) between the wind direction characteristics and the icing characteristics, and the correlation coefficient r(E) between the time characteristics and the icing characteristics.

[0117] In an example embodiment, the ice thickness corresponding to the transmission line is determined based on the correlation relationship and the current meteorological environment data, including: determining the correlation coefficient between each meteorological environment feature and the ice feature in the current meteorological environment data based on the correlation relationship; performing weighted fusion based on each meteorological environment feature, the regression coefficient corresponding to each meteorological environment feature, and the correlation coefficient between each meteorological environment feature and the ice feature to obtain the ice thickness corresponding to the transmission line.

[0118] Specifically, based on the correlation relationship, the correlation coefficient between each meteorological environment feature and the ice cover feature in the current meteorological environment data is determined, including determining the correlation coefficient r(A) between the temperature feature and the ice cover feature, the correlation coefficient r(B) between the humidity feature and the ice cover feature, the correlation coefficient r(C) between the wind speed feature and the ice cover feature, the correlation coefficient r(D) between the wind direction feature and the ice cover feature, and the correlation coefficient r(E) between the time feature and the ice cover feature.

[0119] Furthermore, the regression coefficient corresponding to each meteorological environmental feature is obtained, including the regression coefficient of the temperature feature, the regression coefficient of the humidity feature, the regression coefficient of the wind speed feature, the regression coefficient of the wind direction feature, and the regression coefficient of the time feature. Weighted fusion is performed based on each meteorological environmental feature, the regression coefficient corresponding to each meteorological environmental feature, and the correlation coefficient between each meteorological environmental feature and the icing feature to obtain the icing thickness corresponding to the transmission line.

[0120] Specifically, weighted fusion is performed based on the correlation coefficient between temperature characteristics and icing characteristics, temperature characteristic values, and regression coefficients of temperature characteristics, the correlation coefficient between humidity characteristics and icing characteristics, humidity characteristic values, and regression coefficients of humidity characteristics, the correlation coefficient between wind speed characteristics and icing characteristics, wind speed characteristic values, and regression coefficients of wind speed characteristics, the correlation coefficient between wind direction characteristics and icing characteristics, wind direction characteristic values, and regression coefficients of wind direction characteristics, the correlation coefficient between time characteristics and icing characteristics, time characteristic values, and regression coefficients of time characteristics to obtain the icing thickness corresponding to the transmission line.

[0121] Exemplarily, the ice thickness Y corresponding to the transmission line is determined by the following formula (2):

[0122] ;Formula (2)

[0123] Among them, r(A) is the correlation coefficient between temperature characteristics and ice cover characteristics, r(B) is the correlation coefficient between humidity characteristics and ice cover characteristics, r(C) is the correlation coefficient between wind speed characteristics and ice cover characteristics, r(D) is the correlation coefficient between wind direction characteristics and ice cover characteristics, and r(E) is the correlation coefficient between time characteristics and ice cover characteristics. A is the temperature characteristic, X B is the humidity characteristic, X C is the wind speed characteristic, X D is the wind direction characteristic, X E is the time characteristic, and β A is the regression coefficient of the temperature characteristic, β B is the regression coefficient of humidity characteristics, β C is the regression coefficient of wind speed characteristics, β D is the regression coefficient of wind direction characteristics, β E is the regression coefficient of the time characteristic, Indicates the error value, which can be a constant and can be set and adjusted according to actual needs.

[0124] Furthermore, the following formula (3) is used to determine the regression coefficient of meteorological characteristics or time characteristics: :

[0125] ;Formula (3)

[0126] in, Represents the regression coefficient, which may include β A That is, the regression coefficient of the temperature characteristic, β B That is, the regression coefficient of humidity characteristics, β C That is, the regression coefficient of wind speed characteristics, β D That is, the regression coefficient of wind direction characteristics, β E That is, the regression coefficient of time characteristics, etc. Indicates meteorological or temporal characteristics, including X A That is, the temperature characteristic, X B That is, humidity characteristics, X C That is, wind speed characteristics, X D That is, wind direction characteristics, X E That is, time characteristics, etc., Y represents the ice thickness, express The transposed matrix of .

[0127] In an exemplary embodiment, Fig. 9 As shown, a correlation relationship determination process is provided, referring to Fig. 9 It can be seen that the correlation relationship determination process specifically includes:

[0128] 1) Collect historical meteorological environment data and historical ice data of the transmission line within a preset period. 2) Perform feature extraction on the historical meteorological environment data and historical ice data within the preset period to obtain temperature features, humidity features, wind speed features, wind direction features, time features, and ice features. 3) Determine the meteorological feature mean of the meteorological environment features within the preset period and the ice feature mean of the ice feature. For each meteorological environment feature, determine the correlation coefficient between the meteorological environment feature and the ice feature according to the meteorological environment feature, the meteorological feature mean, the ice feature, and the ice feature mean. 4) Perform weighted fusion according to each meteorological environment feature, the regression coefficient corresponding to each meteorological environment feature, and the correlation coefficient between each meteorological environment feature and the ice feature to obtain the ice thickness corresponding to the transmission line. 5) Determine whether the ice thickness has deviation. 6) If the ice thickness has deviation, correct the correlation coefficient between the meteorological environment feature and the ice feature with deviation.

[0129] In the above-mentioned mechanical load monitoring method for the transmission line, by collecting historical meteorological environment data and historical icing data of the transmission line within a preset period, feature extraction is performed on the historical meteorological environment data and historical icing data to obtain meteorological environment characteristics and icing characteristics corresponding to the transmission line, and the meteorological characteristic mean of the meteorological environment characteristics and the icing characteristic mean of the icing characteristics within the preset period are determined, so as to determine the correlation coefficient between the meteorological environment characteristics and the icing characteristics according to the meteorological environment characteristics, the meteorological characteristic mean, the icing characteristics, and the icing characteristic mean, and determine the correlation relationship between the meteorological environment data and the icing status data of the transmission line based on the correlation coefficient, the meteorological environment characteristics, and the icing characteristics, so as to comprehensively determine the correlation relationship between multiple different meteorological environment characteristics and icing status data, so as to avoid data omission and reduce error data when predicting the icing thickness of the transmission line, and further improve the accuracy of the determined icing thickness of the transmission line, so as to timely perform safety warnings and abnormal processing according to the determined icing thickness.

[0130] In an exemplary embodiment, Fig.10 As shown, an overall processing flow of a mechanical load monitoring method for a transmission line is provided, referring to Fig.10 It can be seen that the mechanical load monitoring method of the transmission line specifically includes the following steps:

[0131] Step S1001, collecting historical meteorological environment data and historical ice coverage data of the transmission line within a preset period, and performing feature extraction on the historical meteorological environment data and historical ice coverage data to obtain meteorological environment features and ice coverage features corresponding to the transmission line.

[0132] Step S1002, determining the meteorological characteristic mean of the meteorological environment characteristic and the icing characteristic mean of the icing characteristic within a preset period.

[0133] Step S1003, determining the correlation coefficient between the meteorological environment characteristics and the ice covering characteristics according to the meteorological environment characteristics, the mean value of the meteorological characteristics, the ice covering characteristics, and the mean value of the ice covering characteristics.

[0134] Step S1004: determining the correlation relationship between the meteorological environment data and the icing status data of the transmission line based on the correlation coefficient, the meteorological environment characteristics, and the icing characteristics.

[0135] Step S1005, obtaining current meteorological environment data of the transmission line.

[0136] Step S1006, determining the correlation coefficient between each meteorological environment feature and the ice cover feature in the current meteorological environment data according to the correlation relationship.

[0137] Step S1007, weighted fusion is performed according to each meteorological environment feature, the regression coefficient corresponding to each meteorological environment feature, and the correlation coefficient between each meteorological environment feature and the ice cover feature to obtain the ice cover thickness corresponding to the transmission line.

[0138] Step S1007: If it is determined that the mechanical load monitoring condition is currently met based on the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value.

[0139] Step S1008: If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the transmission line.

[0140] After executing step S1007, step S1009 is executed. If it is determined that the power transmission line is in an ice-covered state according to the ice thickness, current data corresponding to the power transmission line is continuously acquired.

[0141] Step S1010, if it is determined that the rising rate of the current data is greater than the preset rate, or it is determined that the ice thickness is no longer increasing, the acquisition frequency of the tension sensor is set to the preset frequency, and the sampling value of the tension sensor when continuously sampling at the preset frequency is obtained.

[0142] Step S1011: if the sampled value suddenly changes, determine the sudden change value corresponding to the sampled value.

[0143] Step S1012: If it is determined that the mechanical load monitoring condition is currently met according to the mutation value, the mechanical load of the transmission line is monitored to obtain the mechanical load value.

[0144] Step S1013, when the sampling value tends to be stable, stop the mechanical load monitoring and obtain the target mechanical load value corresponding to the transmission line.

[0145] After executing step S1005, execute step S1014 to obtain the characteristic value of the biaxial tilt angle of the insulator of the transmission line. If it is determined that the wind speed value in the current meteorological environment data is greater than the preset wind speed threshold, determine the change trend of the biaxial tilt of the insulator based on the characteristic value of the biaxial tilt angle of the insulator.

[0146] Step S1015: if it is determined that the spatial position of the insulator string changes according to the trend of the insulator biaxial tilt change, then the dancing feature quantity corresponding to the transmission line is determined according to the biaxial tilt angle feature quantity of the insulator.

[0147] Step S1016: If it is determined based on the dancing characteristic that the current state is in a strong wind dancing state, the transmission line is mechanically loaded to obtain a mechanical load value. When the dancing characteristic reaches a preset dancing value, the mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the transmission line.

[0148] Among them, for step S1008, step S1014, and step S1017, the target mechanical load values ​​under different meteorological environments (i.e., the situations where the maximum mechanical load may occur include ice-covered state, de-icing state, and strong wind dancing state) are determined in parallel. If multiple meteorological environments appear at the same time, the "start of continuous monitoring of the maximum mechanical load of the transmission line" is triggered at the same time, and the monitoring results do not conflict with each other, such as strong wind dancing when ice-covered, de-icing when strong wind dancing, etc. Among them, the multiple target mechanical load values ​​determined can also be further compared to determine the maximum target mechanical load value under multiple meteorological environments.

[0149] In an exemplary embodiment, the maximum mechanical load is monitored by an ultra-high frequency tension sensor, and when it is determined that the maximum mechanical load is continuously monitored, the real-time continuous sampling of the tension sensor is turned on. Specifically, the resistance output signal of the tension sensor under the force change is continuously recorded by the analog-to-digital conversion circuit, and after exiting the continuous monitoring state of the maximum mechanical load, the maximum value of the collected value is calculated and analyzed, so as to obtain the maximum mechanical load in the process.

[0150] The sensor's main MCU (microcontroller unit) has a maximum main frequency of 32MHz, and the ADC (analog / digital converter) has a maximum sampling rate of more than 2MHz. The MCU is a low-power single-chip microcomputer. In the operating mode, it ensures high-speed sampling while reducing the power consumption of the entire machine, and realizes continuous real-time acquisition of the tension sensor under the limited power supply environment on the tower.

[0151] In the above-mentioned method for monitoring the mechanical load of the transmission line, the current meteorological environment data of the transmission line and the correlation relationship between the meteorological environment data of the transmission line and the ice state data are obtained, so as to quickly and accurately determine the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data, thereby reducing error data. Furthermore, if it is determined that the mechanical load monitoring conditions are currently met according to the ice thickness, the transmission line is mechanically monitored to obtain the mechanical load value, and when it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped in time to obtain the target mechanical load value corresponding to the transmission line, thereby accurately obtaining the target mechanical load value under the current meteorological environment, providing an accurate reference basis for the design, inspection / reinforcement and other maintenance work of the transmission line, and providing hidden danger warning and protection improvement measures for iced transmission lines. The monitoring of the transmission lines of the power system under different meteorological environments is enhanced to ensure the safe and stable operation of the power system.

[0152] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0153] Based on the same inventive concept, the embodiment of the present application also provides a transmission line mechanical load monitoring device for implementing the above-mentioned transmission line mechanical load monitoring method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of one or more transmission line mechanical load monitoring devices provided below can refer to the limitations of the transmission line mechanical load monitoring method above, and will not be repeated here.

[0154] In an exemplary embodiment, Fig.11 As shown, a mechanical load monitoring device for a transmission line is provided, comprising: a current meteorological environment data acquisition module 1102, an ice thickness determination module 1104, a mechanical load monitoring module 1106, and a target mechanical load value acquisition module 1108, wherein:

[0155] The current meteorological environment data acquisition module 1102 is used to acquire the current meteorological environment data of the power transmission line, and the correlation relationship between the meteorological environment data of the power transmission line and the ice cover state data;

[0156] An ice thickness determination module 1104 is used to determine the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data;

[0157] The mechanical load monitoring module 1106 is used to perform mechanical load monitoring on the transmission line to obtain a mechanical load value if it is determined that the mechanical load monitoring condition is currently met according to the ice thickness;

[0158] The target mechanical load value obtaining module 1108 is used to stop mechanical load monitoring and obtain a target mechanical load value corresponding to the transmission line if it is determined that the mechanical load value is in a downward trend and the ice thickness is no longer increasing.

[0159] In the above-mentioned mechanical load monitoring device for the transmission line, by obtaining the current meteorological environment data of the transmission line and the correlation relationship between the meteorological environment data of the transmission line and the ice state data, the ice thickness corresponding to the transmission line can be quickly and accurately determined based on the correlation relationship and the current meteorological environment data, thereby reducing error data. Furthermore, if it is determined based on the ice thickness that the mechanical load monitoring conditions are currently met, the transmission line is mechanically loaded to obtain the mechanical load value, and when it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, the mechanical load monitoring is stopped in time to obtain the target mechanical load value corresponding to the transmission line, thereby accurately obtaining the target mechanical load value under the current meteorological environment, providing an accurate reference basis for the design, inspection / reinforcement and other maintenance work of the transmission line, and providing hidden danger warnings and verification of the effectiveness of protective improvement measures for iced transmission lines, thereby enhancing the monitoring of the transmission lines of the power system under different meteorological environments, and ensuring the safe and stable operation of the power system.

[0160] In an exemplary embodiment, a mechanical load monitoring device for a power transmission line is provided, further comprising: a current data acquisition module, for continuously acquiring current data corresponding to the power transmission line if it is determined that the power transmission line is in an ice-covered state according to the ice-covered thickness; a sampling value acquisition module, for setting the acquisition frequency of the tension sensor to a preset frequency if it is determined that the rising rate of the current data is greater than a preset rate, or if it is determined that the ice-covered thickness is no longer increasing, and acquiring a sampling value when the tension sensor continuously samples at the preset frequency; a mutation value determination module, for determining a mutation value corresponding to the sampling value if a mutation occurs in the sampling value;

[0161] Among them, the mechanical load monitoring module is also used for: if it is determined based on the mutation value that the mechanical load monitoring conditions are currently met, then mechanical load monitoring is performed on the transmission line to obtain the mechanical load value; the target mechanical load value acquisition module is also used for: when the sampling value tends to be stable, stopping mechanical load monitoring and obtaining the target mechanical load value corresponding to the transmission line.

[0162] In an exemplary embodiment, a mechanical load monitoring device for a power transmission line is provided, further comprising: a dancing characteristic value determination module, configured to obtain a characteristic value of a biaxial inclination angle of an insulator of the power transmission line, and determine a dancing characteristic value corresponding to the power transmission line according to current meteorological environment data and the characteristic value of the biaxial inclination angle of the insulator;

[0163] Among them, the target mechanical load value acquisition module is also used for: if it is determined according to the dancing characteristic quantity that the current state is a strong wind dancing state, then the mechanical load of the transmission line is monitored to obtain the mechanical load value, until the dancing characteristic quantity reaches the preset dancing amount, then the mechanical load monitoring is stopped to obtain the target mechanical load value corresponding to the transmission line.

[0164] In an exemplary embodiment, the dancing feature determination module is also used to: if it is determined that the wind speed value in the current meteorological environment data is greater than a preset wind speed threshold, determine the changing trend of the insulator biaxial inclination according to the insulator biaxial inclination angle characteristic; if it is determined that the spatial position of the insulator string has changed according to the insulator biaxial inclination angle changing trend, then determine the dancing feature corresponding to the transmission line according to the insulator biaxial inclination angle characteristic.

[0165] In an exemplary embodiment, a mechanical load monitoring device for a power transmission line is provided, further comprising:

[0166] A feature extraction module is used to collect historical meteorological environment data and historical ice cover data of the transmission line within a preset period, and perform feature extraction on the historical meteorological environment data and historical ice cover data to obtain meteorological environment characteristics and ice cover characteristics corresponding to the transmission line; a feature mean determination module is used to determine the meteorological feature mean of the meteorological environment characteristics within the preset period, and the ice cover feature mean of the ice cover characteristics; a correlation coefficient determination module is used to determine the correlation coefficient between the meteorological environment characteristics and the ice cover characteristics according to the meteorological environment characteristics, the meteorological feature mean, the ice cover characteristics, and the ice cover feature mean; a correlation relationship determination module is used to determine the correlation relationship between the meteorological environment data and the ice cover status data of the transmission line based on the correlation coefficient, the meteorological environment characteristics, and the ice cover characteristics.

[0167] In an exemplary embodiment, the ice thickness determination module is also used to: determine the correlation coefficient between each meteorological environment feature and the ice cover feature in the current meteorological environment data based on the correlation relationship; perform weighted fusion based on each meteorological environment feature, the regression coefficient corresponding to each meteorological environment feature, and the correlation coefficient between each meteorological environment feature and the ice cover feature to obtain the ice thickness corresponding to the transmission line.

[0168] Each module in the above-mentioned mechanical load monitoring device for power transmission lines can be implemented in whole or in part by software, hardware or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0169] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig.12As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as current meteorological environment data, correlation between meteorological environment data and ice state data, ice thickness, mechanical load monitoring conditions, mechanical load values, and target mechanical load values. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a mechanical load monitoring method for a transmission line is implemented.

[0170] Those skilled in the art will understand that Fig.12 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0171] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0172] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0173] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0174] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0175] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0176] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of the present application. The above embodiments only express several implementation methods of the present application, and the description is relatively specific and detailed, but it cannot be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary technicians in this field, without departing from the concept of the present application, several deformations and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the attached claims.

Claims

1. A method for monitoring mechanical load of a transmission line, characterized in that: The method comprises: Acquire current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line; Determining the ice thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data; If it is determined that the mechanical load monitoring condition is currently met according to the ice thickness, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value; If it is determined that the mechanical load value is on a downward trend and the ice thickness is no longer increasing, mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the power transmission line.

2. The method according to claim 1, characterized in that The method further comprises: If it is determined that the transmission line is in an ice-covered state according to the ice-covered thickness, then the current data corresponding to the transmission line is continuously acquired; If it is determined that the rising rate of the current data is greater than the preset rate, or it is determined that the ice thickness is no longer increasing, the acquisition frequency of the tension sensor is set to the preset frequency, and the sampling value of the tension sensor when continuously sampling at the preset frequency is obtained; If the sampled value suddenly changes, determining a sudden change value corresponding to the sampled value; If it is determined that the mechanical load monitoring condition is currently met according to the mutation value, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value; When the sampling value tends to be stable, the mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the transmission line.

3. The method according to claim 1, characterized in that The method further comprises: Acquire a characteristic value of a biaxial inclination angle of an insulator of the transmission line, and determine a galloping characteristic value corresponding to the transmission line according to the current meteorological environment data and the characteristic value of the biaxial inclination angle of the insulator; If it is determined based on the dancing characteristic that the current state is in a strong wind dancing state, mechanical load monitoring is performed on the transmission line to obtain a mechanical load value. When the dancing characteristic reaches a preset dancing amount, mechanical load monitoring is stopped to obtain a target mechanical load value corresponding to the transmission line.

4. The method according to claim 3, characterized in that The step of determining the dancing characteristic quantity corresponding to the transmission line according to the current meteorological environment data and the characteristic quantity of the insulator dual-axis inclination angle comprises: If it is determined that the wind speed value in the current meteorological environment data is greater than a preset wind speed threshold, determining a change trend of the insulator biaxial inclination according to the insulator biaxial inclination angle characteristic quantity; If it is determined that the spatial position of the insulator string changes according to the changing trend of the biaxial inclination of the insulator, then the dancing characteristic quantity corresponding to the transmission line is determined according to the characteristic quantity of the biaxial inclination angle of the insulator.

5. The method according to any one of claims 1 to 4, characterized in that: The method further comprises: Collecting historical meteorological environment data and historical ice coverage data of the transmission line within a preset period, and performing feature extraction on the historical meteorological environment data and the historical ice coverage data to obtain meteorological environment features and ice coverage features corresponding to the transmission line; Determining a meteorological characteristic mean value of the meteorological environment characteristic and an icing characteristic mean value of the icing characteristic within the preset period; Determining a correlation coefficient between the meteorological environment characteristic and the ice covering characteristic according to the meteorological environment characteristic, the meteorological characteristic mean, the ice covering characteristic, and the ice covering characteristic mean; Based on the correlation coefficient, the meteorological environment characteristics, and the icing characteristics, a correlation relationship between the meteorological environment data and the icing status data of the transmission line is determined.

6. The method according to claim 5, characterized in that The step of determining the ice thickness corresponding to the power transmission line according to the correlation relationship and the current meteorological environment data includes: Determine, according to the correlation relationship, a correlation coefficient between each of the meteorological environment characteristics in the current meteorological environment data and the ice cover characteristics; According to each of the meteorological environment characteristics, the regression coefficient corresponding to each of the meteorological environment characteristics, and the correlation coefficient between each of the meteorological environment characteristics and the ice cover characteristics, weighted fusion is performed to obtain the ice cover thickness corresponding to the transmission line.

7. A mechanical load monitoring device for a power transmission line, characterized in that: The device comprises: A current meteorological environment data acquisition module is used to acquire the current meteorological environment data of the transmission line, and the correlation relationship between the meteorological environment data and ice cover status data of the transmission line; An ice thickness determination module, used to determine the ice thickness corresponding to the transmission line according to the correlation relationship and the current meteorological environment data; A mechanical load monitoring module, configured to perform mechanical load monitoring on the transmission line to obtain a mechanical load value if it is determined that the mechanical load monitoring condition is currently met according to the ice thickness; The target mechanical load value obtaining module is used to stop mechanical load monitoring and obtain a target mechanical load value corresponding to the power transmission line if it is determined that the mechanical load value is in a downward trend and the ice thickness is no longer increasing.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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