An early warning system for remote monitoring of transmission line vibration status

Abstract

The present invention relates to the field of power transmission line early warning, and in particular to an early warning system for remotely monitoring the vibration state of power transmission lines, comprising: an ice monitoring module for responding to a key monitoring coefficient of a category setting condition to determine the category of each transmission line, and periodically detecting and determining the abnormal ice state of each type of transmission line according to an ice reference value and an ice difference; a monitoring and analysis module for responding to different abnormal ice states of a strategy determination condition to determine an adjustment and processing method for each type of transmission line; a regional compensation module for determining an early warning adjustment strategy according to a compensation condition; and an early warning execution module for determining an early warning execution strategy for each early warning line section according to an early warning distribution reference value. The present invention improves the accuracy of the determination result of the early warning coefficient of each transmission line section, thereby ensuring the effectiveness and timeliness of the abnormal situation processing of the transmission line.

Description

Technical Field

[0001] The invention relates to the field of power transmission line early warning, and in particular to an early warning system for remotely monitoring the vibration state of a power transmission line. Background Art

[0002] The invention relates to the field of power transmission line early warning, and in particular to an early warning system for remotely monitoring the vibration state of a power transmission line. Background Art

[0004] Transmission lines are prone to vibration during operation due to their own and external factors. In the process of remote monitoring of the vibration status of transmission lines, early warning coefficients for different areas are set according to actual monitoring results, which can ensure the effectiveness and timeliness of subsequent maintenance of transmission lines. Among them, the icing condition of the transmission line has a certain impact on the judgment results of the vibration conditions in different areas. When analyzing the early warning coefficients of different areas on the transmission line, how to optimize the early warning results based on the impact of the actual icing condition of the transmission line on the vibration condition is a problem that needs to be solved urgently by technical personnel in this field.

[0005] Chinese patent publication number CN118334838A discloses a power transmission line fault warning method, device, storage medium and electronic device, which relates to the field of power transmission line technology, wherein the method includes: if the wind speed exceeds the wind speed threshold, the first warning information corresponding to the target monitoring line is sent to the terminal of the fault monitoring personnel; when the dancing amplitude of the target monitoring line exceeds the amplitude threshold, the first dancing amplitude real-time curve of the target monitoring line within a preset time after the current time is determined, and the first dancing amplitude real-time curve is fitted with the preset standard dancing amplitude curve under wind to obtain a first fitting rate; when the first fitting rate is less than the fitting rate threshold, if the adjacent monitoring line within the preset distance of the target monitoring line is in a state of drone impact deicing, the second warning information is sent to the terminal, and the impact force of the drone on the ice covering the adjacent monitoring line is adjusted. However, the above scheme has the following problems: it fails to make targeted adjustments to the warning degree of the transmission line in different areas according to the actual ice covering situation of the transmission line, resulting in low accuracy of the warning results for different areas in the transmission line, and then leads to low effectiveness and timeliness of subsequent maintenance of the transmission line. Summary of the invention

[0006] To this end, the present invention provides an early warning system for remotely monitoring the vibration status of a transmission line, so as to overcome the problem in the prior art that the early warning degree of the transmission line in different areas cannot be adjusted in a targeted manner according to the actual icing conditions of the transmission line, resulting in low accuracy of the early warning results for different areas within the transmission line, and further resulting in low effectiveness and timeliness of subsequent maintenance of the transmission line.

[0007] To achieve the above object, the present invention provides an early warning system for remotely monitoring the vibration state of a power transmission line, comprising:

[0008] An icing monitoring module is used to respond to the key monitoring coefficient of the category setting conditions to determine the category of each transmission line, and periodically detect and determine the abnormal icing state of each category I transmission line based on the icing reference value and the icing difference;

[0009] A monitoring and analysis module, which is connected to the ice monitoring module, and is used to respond to the strategy determination conditions to determine the adjustment processing method of each type of transmission line, the adjustment processing method includes determining the monitoring compensation method according to the key distribution state, and adjusting the early warning coefficient according to the abnormal distribution coefficient and the ice detection value;

[0010] A regional compensation module, which is connected to the monitoring and analysis module, includes a first regional compensation unit and a second regional compensation unit, which is used to respond to different compensation conditions to determine an early warning adjustment strategy, wherein the early warning adjustment strategy includes determining whether to adjust the early warning coefficient according to the abnormal overlap of each densely monitored area, and determining whether to adjust the early warning coefficient of the adjacent line section of each key analysis section according to the adjacent difference coefficient;

[0011] The early warning execution module is connected to the monitoring and analysis module and the regional compensation module, and is used to determine the early warning line section according to the early warning coefficient, and respond to the early warning distribution reference value of the execution judgment condition to determine the early warning execution strategy of each early warning line section.

[0012] Furthermore, the category setting condition responded by the ice cover monitoring module is that if the key monitoring coefficient of a transmission line is greater than a preset key monitoring coefficient, the transmission line section is determined to be a Class I transmission line;

[0013] If the category setting condition responded by the ice monitoring module is that the key monitoring coefficient of a transmission line is less than or equal to the preset key monitoring coefficient, the transmission line section is determined to be a Class II transmission line;

[0014] The ice-covered monitoring module determines the key monitoring coefficient of each transmission line section according to the proportion of ice-covered sections and the line fluctuation coefficient, and the key monitoring coefficient is positively correlated with the proportion of ice-covered sections and the line fluctuation coefficient.

[0015] Furthermore, the ice-covering monitoring module responds to the state determination condition to periodically determine the abnormal ice-covering state of each type of power transmission line;

[0016] For a single Class I transmission line,

[0017] The state determination condition responded by the ice covering monitoring module is that the ice covering reference value is greater than the preset ice covering reference value and the ice covering difference is greater than the preset ice covering difference, then it is determined that the first type of transmission line is in the first ice covering abnormal state;

[0018] The state determination condition responded by the ice covering monitoring module is that the ice covering reference value is greater than the preset ice covering reference value and the ice covering difference is less than or equal to the preset ice covering difference, then it is determined that the first type of transmission line is in the second ice covering abnormal state.

[0019] Further, the monitoring and analysis module detects the key distribution state of the first type of transmission line in response to the first determination condition, and the key distribution state is determined according to the interval distance between key monitoring points in the first type of transmission line;

[0020] The monitoring and analysis module responds to the critical interval distance of the distribution judgment condition to determine the critical distribution state;

[0021] The distribution judgment condition responded by the monitoring and analysis module is that the critical interval distance is less than or equal to the preset critical interval distance, and the critical distribution state of the transmission line of this type is determined to be a concentrated state;

[0022] If the distribution judgment condition responded by the monitoring and analysis module is that the critical interval distance is greater than the preset critical interval distance, the distribution state of the key monitoring points of a type of transmission line is determined to be a discrete state;

[0023] The first determination condition is that the icing monitoring module determines that any type of power transmission line is in a first icing abnormal state.

[0024] Further, the monitoring and analysis module responds to different key distribution states to determine monitoring compensation methods;

[0025] If the monitoring and analysis module responds to the concentrated state, it is determined that the first regional compensation unit performs intensive monitoring area division for a type of power transmission line;

[0026] The monitoring and analysis module responds to the decentralized state, and determines that the second regional compensation unit performs regional difference analysis on a type of transmission line.

[0027] Furthermore, the first area compensation unit responds to the first compensation condition, determines the dense monitoring area according to the interval distance between the key monitoring points, and determines whether to adjust the early warning coefficient of the included type of line section according to the abnormal overlap of each dense monitoring area;

[0028] For a single densely monitored area,

[0029] The regional compensation condition responded by the first regional compensation unit is that the abnormal overlap is greater than the preset abnormal overlap, and it is determined that the early warning coefficient of each Class I line section included in the dense monitoring area is increased and adjusted according to the regional ice coverage reference value and the abnormal overlap;

[0030] The distance between adjacent key monitoring points in any dense monitoring area is less than the preset distance;

[0031] The first compensation condition is that the monitoring and analysis module determines that the first area compensation unit divides a type of transmission line into intensive monitoring areas.

[0032] Furthermore, the second area compensation unit records a type of line section with a key monitoring point as a key analysis section in response to the second compensation condition, detects the adjacent difference coefficients between each key analysis section and its adjacent type of line section, and determines whether to adjust the warning coefficient of the adjacent line section of each key analysis section in response to the adjacent difference coefficients of the difference compensation condition;

[0033] For a single adjacent line segment,

[0034] If the difference compensation condition responded by the second area compensation unit is that the adjacent difference coefficient is greater than the preset adjacent difference coefficient, it is determined that the warning coefficient of the adjacent line section is reduced and adjusted according to the adjacent difference coefficient and the section abnormality coefficient;

[0035] The second compensation condition is that the monitoring and analysis module determines that the second regional compensation unit performs regional difference analysis on a type of transmission lines.

[0036] Furthermore, the monitoring and analysis module responds to the second determination condition and increases and adjusts the warning coefficient of each first-class line section in the first-class transmission line according to the abnormal distribution coefficient and the ice detection value;

[0037] The increase value of the warning coefficient is positively correlated with the abnormal distribution coefficient and the ice detection value respectively;

[0038] The second determination condition is that the icing monitoring module determines that any type of power transmission line is in a second icing abnormal state.

[0039] Further, the warning execution module responds to the warning improvement conditions and determines the warning execution strategy for each warning line section according to the warning distribution reference value;

[0040] For a single warning line section,

[0041] The execution determination condition responded by the warning execution module is that the warning distribution reference value is greater than the preset warning distribution reference value, then it is determined to perform combined execution analysis on the warning line section;

[0042] The corresponding execution judgment condition of the warning execution module is that the warning distribution reference value is less than or equal to the preset warning distribution reference value, then the priority execution coefficient of the warning line section is determined according to the warning coefficient and the warning difference parameter;

[0043] The warning perfection condition is that the warning coefficients of each Class A line section in a Class A transmission line have been adjusted, and the warning line section is a line section whose warning coefficient is greater than a preset warning coefficient.

[0044] Furthermore, the warning execution module responds to the combination analysis condition and performs combination division on the dense warning line sections to obtain a plurality of warning section combinations;

[0045] Determine the priority execution coefficient of each dense warning line section in each warning section combination according to the reference warning coefficient and the combination concentration coefficient;

[0046] The dense warning line section is a warning line section where the warning distribution reference value is greater than the preset warning distribution reference value;

[0047] The combined analysis condition is that each warning line section has completed the warning execution strategy judgment and there are dense warning line sections.

[0048] Compared with the prior art, the beneficial effect of the present invention lies in that, in the technical scheme of the present invention, the abnormal icing state is determined according to the icing reference value and the icing difference value of each transmission line, and a targeted adjustment and compensation method for the warning coefficient is determined according to the abnormal icing state, so that the adjustment and compensation method for the warning coefficient is more in line with the actual working scenario, and the determination result of the warning coefficient for each transmission line section on the transmission line is more accurate, which ensures the effectiveness and timeliness of the subsequent handling of abnormal conditions of the transmission line.

[0049] Furthermore, in the present invention, for a type of transmission line in a first abnormal icing state, since the ice distribution of the type of transmission line in the first abnormal icing state is uneven, it will affect the vibration state and judgment result of the transmission line. A compensation method for detecting key distribution states to determine targeted warning coefficients is used, which further ensures the accuracy of the obtained warning coefficients of each transmission line section.

[0050] Furthermore, in the present invention, for a type of transmission lines with concentrated key monitoring points, if the abnormal overlap in a densely monitored area is large, it indicates that the transmission line in this part is greatly affected by the icing condition, which may subsequently affect the vibration conditions of each transmission line section contained therein. Therefore, the early warning coefficient of the transmission line section contained in the densely monitored area is increased according to the regional icing reference value and the abnormal overlap, so as to avoid the impact of transmission line anomalies in a larger area on line operation.

[0051] Furthermore, in the present invention, for a type of transmission lines with dispersed key monitoring points, the difference in ice coverage between two adjacent transmission line sections leads to differences in aerodynamic coefficients, resulting in abnormal vibrations in the two transmission line sections. The warning coefficients of adjacent line sections with large differences are adjusted according to adjacent difference coefficients and section abnormality coefficients, thereby avoiding interference with the judgment result of the warning coefficient due to mutual influence between different line sections, thereby improving the accuracy of the judgment result of the warning coefficient for each transmission line section, and ensuring the effectiveness and timeliness of subsequent handling of abnormal conditions of the transmission line.

[0052] Furthermore, the present invention determines the warning execution strategy of each warning line section according to the warning distribution reference value, so that the task arrangement of icing treatment for the warning line section is more in line with the actual work scenario, avoiding the impact of the distribution of the warning line section on the task execution efficiency. The present invention improves the timeliness of handling abnormal situations of the transmission line. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a module connection diagram of the early warning system for remotely monitoring the vibration status of a power transmission line according to the present invention;

[0054] Figure 2 It is a module structure block diagram of the regional compensation module of the present invention;

[0055] Figure 3 A flow chart of a method for determining an adjustment process for each type of power transmission line by a monitoring and analysis module of the present invention in response to different strategic determination conditions;

[0056] Figure 4 A flow chart of how the regional compensation module of the present invention responds to different compensation conditions to determine an early warning adjustment strategy. DETAILED DESCRIPTION

[0057] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0059] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0060] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] See also Figures 1 to 4 As shown, the present invention provides an early warning system for remotely monitoring the vibration state of a power transmission line, comprising:

[0062] An icing monitoring module is used to respond to the key monitoring coefficient of the category setting conditions to determine the category of each transmission line, and periodically detect and determine the abnormal icing state of each category I transmission line based on the icing reference value and the icing difference;

[0063] A monitoring and analysis module, which is connected to the ice monitoring module, and is used to respond to the strategy determination conditions to determine the adjustment processing method of each type of transmission line, the adjustment processing method includes determining the monitoring compensation method according to the key distribution state, and adjusting the early warning coefficient according to the abnormal distribution coefficient and the ice detection value;

[0064] A regional compensation module, which is connected to the monitoring and analysis module, includes a first regional compensation unit and a second regional compensation unit, and is used to determine an early warning adjustment strategy in response to different compensation conditions. The early warning adjustment strategy includes determining whether to adjust the early warning coefficient according to the abnormal overlap of each densely monitored area, and determining whether to adjust the early warning coefficient of the difference section of each key analysis section according to the adjacent difference coefficient;

[0065] The early warning execution module is connected to the monitoring and analysis module and the regional compensation module, and is used to determine the early warning line section according to the early warning coefficient, and respond to the early warning distribution reference value of the execution judgment condition to determine the early warning execution strategy of each early warning line section.

[0066] Among them, in the present invention, part of the transmission line between two adjacent fixed points is recorded as a transmission line, and the fixed point is the location of the electric pole or tower used to fix the transmission line. In the present invention, a number of ice thickness monitoring points are set for each transmission line, and the interval distance between any two ice thickness monitoring points on the same transmission line is the same. The interval distance between the ice thickness monitoring points is the shortest distance relative to the horizontal ground. A tension sensor is set at the corresponding position of each ice thickness monitoring point, and the ice thickness at the corresponding position of each ice thickness monitoring point is determined according to the obtained tension change. The detected ice thickness is recorded as the ice detection value. The present invention does not make specific limitations on the model of the tension sensor used, and the user can make adaptive settings according to the actual working scene. How to determine the ice thickness according to the tension change detected by the tension sensor is easy for technicians in this field to understand, and will not be repeated here.

[0067] The present invention applies an ice monitoring cycle. The user can set the duration of the ice monitoring cycle according to the actual working scenario. The higher the user's requirements for the timeliness of abnormal maintenance of the transmission line, the shorter the duration of the ice monitoring cycle. The duration of an ice monitoring cycle is provided. The duration of the ice monitoring cycle is 1 hour. At the end of each ice monitoring cycle, the ice detection value of each ice thickness monitoring point is detected, and the category of each transmission line and the abnormal ice state are judged based on this.

[0068] The present invention divides each transmission line into sections to obtain several transmission line sections with the same section length. The section length of the transmission line section is the length of the transmission line section projected on the horizontal ground. Each transmission line section in a Class I transmission line is recorded as a Class I line section, and each transmission line section in a Class II transmission line is recorded as a Class II line section. The present invention applies a vibration monitoring cycle, and the user can set the duration of the vibration monitoring cycle according to the actual working scenario. The higher the user's requirements for the timeliness of abnormal maintenance of the transmission line, the shorter the duration of the vibration monitoring cycle. A vibration monitoring cycle duration is provided, and the duration of the vibration monitoring cycle is 15 minutes. At the end of each vibration monitoring cycle, the vibration parameters of each transmission line section are detected, and the early warning coefficient of each transmission line section is determined accordingly. The early warning coefficient of each transmission line section is positively correlated with its vibration parameter. The vibration parameter is used to characterize the vibration amplitude of each transmission line section. How to detect the vibration amplitude of each transmission line section is already mastered by those skilled in the art and will not be repeated here.

[0069] In the present invention, several line monitoring records are correspondingly provided, and any line monitoring record records the key monitoring coefficient, ice coverage reference value, ice coverage difference value, key interval distance, abnormal overlap, adjacent difference coefficient, warning distribution reference value and warning coefficient in at least one process of remote monitoring of the transmission line, and each line monitoring record has a corresponding qualified mark, which records whether the timeliness requirement for abnormal line maintenance of the transmission line meets user needs.

[0070] Specifically, the category setting condition responded by the ice cover monitoring module is that if the key monitoring coefficient of a transmission line is greater than the preset key monitoring coefficient, the transmission line section is determined to be a Class I transmission line;

[0071] If the category setting condition responded by the ice monitoring module is that the key monitoring coefficient of a transmission line is less than or equal to the preset key monitoring coefficient, the transmission line section is determined to be a Class II transmission line;

[0072] The ice-covered monitoring module determines the key monitoring coefficient of each transmission line section according to the proportion of ice-covered sections and the line fluctuation coefficient, and the key monitoring coefficient is positively correlated with the proportion of ice-covered sections and the line fluctuation coefficient.

[0073] Among them, for a single transmission line, the key monitoring coefficient = ln (the proportion of ice-covered sections × the line fluctuation coefficient), the proportion of ice-covered sections = the number of ice thickness monitoring points with ice detection values ​​greater than 0 / the number of ice thickness monitoring points on the transmission line, the line fluctuation coefficient is determined according to the line length and load intensity of the transmission line, the line fluctuation coefficient is the sum of the products of the line length and the load intensity and the corresponding influence coefficients, the values ​​of the influence coefficients corresponding to the line length and the load intensity can be set by the user according to the actual working scenario, and a value of the influence coefficient corresponding to the line length and the load intensity is provided, the value of the influence coefficient corresponding to the line length is 0.6, the value of the influence coefficient corresponding to the load intensity is 0.4, the line length is the distance between two fixed points corresponding to a transmission line, how to target the load intensity of the transmission line is easy to understand for technicians in this field, and will not be repeated here;

[0074] The value of the preset key monitoring coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the line monitoring record. The higher the user's requirement for the timeliness of line abnormal maintenance, the smaller the value of the preset key monitoring coefficient. A method for determining the value of the preset key monitoring coefficient is provided, and the minimum value of the key monitoring coefficient of each Class I transmission line in the line monitoring record that meets the user's requirement for the timeliness of line abnormal maintenance is recorded as the preset key monitoring coefficient.

[0075] Specifically, the ice coating monitoring module responds to the state determination condition to periodically determine the abnormal ice coating state of each type of power transmission line;

[0076] For a single Class I transmission line,

[0077] The state determination condition responded by the ice covering monitoring module is that the ice covering reference value is greater than the preset ice covering reference value and the ice covering difference is greater than the preset ice covering difference, then it is determined that the first type of transmission line is in the first ice covering abnormal state;

[0078] The state determination condition responded by the ice covering monitoring module is that the ice covering reference value is greater than the preset ice covering reference value and the ice covering difference is less than or equal to the preset ice covering difference, then it is determined that the first type of transmission line is in the second ice covering abnormal state.

[0079] Among them, for a single Class I transmission line, the ice coverage reference value is the average value of the ice coverage detection values ​​obtained at each ice coverage thickness monitoring point on the Class I transmission line, and the ice coverage difference D= , n is the number of ice thickness monitoring points on a type of transmission line, F is the ice detection value of the ith ice thickness monitoring point, is the reference value of ice cover;

[0080] The values ​​of the preset ice coverage reference value and the preset ice coverage difference value can be determined by the user according to the actual working scenario. For example, the user can set them according to the line monitoring record. The higher the user's requirement for the timeliness of line abnormal maintenance, the smaller the value of the preset ice coverage reference value and the smaller the value of the preset ice coverage difference value. A method for determining the preset ice coverage reference value is provided, and the minimum value of the ice coverage reference value of each Class I transmission line adjusted for the warning coefficient in the line monitoring record that meets the user's requirement for the timeliness of line abnormal maintenance is recorded as the preset ice coverage reference value. A method for determining the preset ice coverage difference is provided, and the line monitoring record that determines the monitoring compensation method according to the key distribution state is recorded as a Class I reference record, and the minimum value of the ice coverage difference of a Class I transmission line in the Class I reference record that meets the user's requirement for the timeliness of line abnormal maintenance is recorded as the preset ice coverage difference.

[0081] Specifically, the monitoring and analysis module detects the key distribution state of the first type of transmission line in response to the first determination condition, and the key distribution state is determined according to the interval distance between key monitoring points in the first type of transmission line;

[0082] The monitoring and analysis module responds to the critical interval distance of the distribution judgment condition to determine the critical distribution state;

[0083] The distribution judgment condition responded by the monitoring and analysis module is that the critical interval distance is less than or equal to the preset critical interval distance, and the critical distribution state of the transmission line of this type is determined to be a concentrated state;

[0084] If the distribution judgment condition responded by the monitoring and analysis module is that the critical interval distance is greater than the preset critical interval distance, the distribution state of the key monitoring points of a type of transmission line is determined to be a discrete state;

[0085] The first determination condition is that the icing monitoring module determines that any type of power transmission line is in a first icing abnormal state.

[0086] Among them, the strategy judgment condition includes a first judgment condition and a second judgment condition. For any type of transmission line in the first abnormal icing state, the ice thickness monitoring point whose ice detection value is greater than the ice reference value of the type of transmission line is recorded as a key monitoring point. The interval distances between adjacent key monitoring points in a type of transmission line are detected, and the average value of each interval distance detected is recorded as the key interval distance of the type of transmission line. The value of the preset key interval distance can be determined by the user according to the actual working scenario. For example, the user can set it according to the line monitoring record. The higher the user's requirement for the timeliness of line abnormal maintenance, the smaller the value of the preset key interval distance. A method for setting the value of the preset key interval distance is provided. The line monitoring record for intensive monitoring area division for a type of transmission line is recorded as a distributed reference record, and the average value of the key interval distances of each type of transmission line in the distributed reference record that meets the user's requirement for the timeliness of line abnormal maintenance is recorded as the preset key interval distance.

[0087] Specifically, the monitoring and analysis module responds to different key distribution states to determine monitoring compensation methods;

[0088] If the monitoring and analysis module responds to the concentrated state, it is determined that the first regional compensation unit performs intensive monitoring area division for a type of power transmission line;

[0089] The monitoring and analysis module responds to the decentralized state, and determines that the second regional compensation unit performs regional difference analysis on a type of transmission line.

[0090] Specifically, the first area compensation unit responds to the first compensation condition, determines the dense monitoring area according to the interval distance between the key monitoring points, and determines whether to adjust the early warning coefficient of the included type of line section according to the abnormal overlap of each dense monitoring area;

[0091] For a single densely monitored area,

[0092] The regional compensation condition responded by the first regional compensation unit is that the abnormal overlap is greater than the preset abnormal overlap, and it is determined that the early warning coefficient of each Class I line section included in the dense monitoring area is increased and adjusted according to the regional ice coverage reference value and the abnormal overlap;

[0093] The distance between adjacent key monitoring points in any dense monitoring area is less than the preset distance;

[0094] The first compensation condition is that the monitoring and analysis module determines that the first area compensation unit divides a type of transmission line into intensive monitoring areas.

[0095] The value of the preset interval distance can be determined by the user according to the actual working scenario. For example, the user can set it according to the line monitoring record, and a method for determining the value of the preset interval distance is provided, and the maximum value of the interval distance between adjacent key monitoring points in each dense monitoring area in the distributed reference record that meets the user's requirements for the timeliness of line abnormal maintenance is recorded as the preset interval distance;

[0096] Any dense monitoring area is a collection of a type of line sections with key monitoring points. For a single dense monitoring area, abnormal overlap = the number of abnormal line sections in the dense monitoring area / the number of a type of line sections in the dense monitoring area. The abnormal line section is a type of line section with a warning coefficient greater than a preset warning coefficient. The value of the preset abnormal overlap can be determined by the user according to the actual working scenario. For example, the user can set it according to the line monitoring record, and the minimum value of the abnormal overlap of the dense monitoring area for adjusting the warning coefficient in the distribution reference record that meets the user's timeliness requirements for line abnormal maintenance is recorded as the preset abnormal overlap; if the abnormal overlap of a dense monitoring area is greater than the preset abnormal overlap, the warning coefficient of each type of line section in the dense monitoring area is increased and adjusted, and the increase value of the warning coefficient is positively correlated with the regional adjustment coefficient. The regional adjustment coefficient is determined according to the regional ice coverage reference value and the abnormal overlap of the dense monitoring area. The regional adjustment coefficient = ln (regional ice coverage reference value × abnormal overlap), and the regional ice coverage reference value is the average value of the ice coverage detection values ​​obtained by detecting each ice thickness monitoring point in the dense monitoring area.

[0097] Specifically, the second area compensation unit responds to the second compensation condition, records a type of line section with a key monitoring point as a key analysis section, detects the adjacent difference coefficients of each key analysis section and its adjacent type of line section, and determines whether to adjust the warning coefficient of the adjacent line section of each key analysis section in response to the adjacent difference coefficient of the difference compensation condition;

[0098] For a single adjacent line segment,

[0099] If the difference compensation condition responded by the second area compensation unit is that the adjacent difference coefficient is greater than the preset adjacent difference coefficient, it is determined that the warning coefficient of the adjacent line section is reduced and adjusted according to the adjacent difference coefficient and the section abnormality coefficient;

[0100] The second compensation condition is that the monitoring and analysis module determines that the second regional compensation unit performs regional difference analysis on a type of transmission lines.

[0101] Among them, for a single key analysis section, a type of line section with the same endpoint is recorded as the adjacent line section of the key analysis section, the adjacent difference coefficient is determined according to the ice difference reference value and the warning coefficient difference value, for a single adjacent line section, the adjacent difference coefficient = lg (ice difference reference value / warning coefficient difference value), the section ice reference value of the adjacent line section and its corresponding key analysis section is detected, the section ice reference value is the average value of the ice detection values ​​obtained from each ice thickness monitoring point in a transmission line section, the ice difference reference value = the section ice reference value of the key analysis section - the section ice reference value of the adjacent line section, the warning coefficient difference value is the absolute value of the difference between the warning coefficients of the key analysis section and the adjacent line section;

[0102] For a single key analysis section, if the adjacent difference coefficient of any adjacent line section is greater than the preset adjacent difference coefficient, the warning coefficient of the adjacent line section is reduced and adjusted. The reduction value of the warning coefficient is positively correlated with the interference adjustment coefficient. The interference adjustment coefficient is determined according to the adjacent difference coefficient of the adjacent line section and the section interference coefficient. The interference adjustment coefficient is the sum of the adjacent difference coefficient and the section interference coefficient. The section interference coefficient is the number of key analysis sections within the distribution analysis range of the adjacent line section.

[0103] Specifically, the monitoring and analysis module responds to the second determination condition and increases and adjusts the warning coefficient of each first-class line section in the first-class transmission line according to the abnormal distribution coefficient and the ice detection value;

[0104] The increase value of the warning coefficient is positively correlated with the abnormal distribution coefficient and the ice detection value respectively;

[0105] The second determination condition is that the icing monitoring module determines that any type of power transmission line is in a second icing abnormal state.

[0106] Among them, the increase value of the warning coefficient is positively correlated with the section risk coefficient. For a single Class A line section, the section risk coefficient is determined based on the abnormal distribution coefficient and the ice coverage monitoring value. The section risk coefficient is the product of the abnormal distribution coefficient and the ice coverage monitoring value. The abnormal distribution coefficient is the shortest distance between this type of transmission section and the key line points. The key line points in the present invention include but are not limited to conductor connection points, conductor suspension points, conductor turning points and conductor intersections.

[0107] Specifically, the warning execution module responds to the warning improvement conditions and determines the warning execution strategy for each warning line section according to the warning distribution reference value;

[0108] For a single warning line section,

[0109] The execution determination condition responded by the warning execution module is that the warning distribution reference value is greater than the preset warning distribution reference value, then it is determined to perform combined execution analysis on the warning line section;

[0110] The corresponding execution judgment condition of the warning execution module is that the warning distribution reference value is less than or equal to the preset warning distribution reference value, then the priority execution coefficient of the warning line section is determined according to the warning coefficient and the warning difference parameter;

[0111] The warning perfection condition is that the warning coefficients of each Class A line section in a Class A transmission line have been adjusted, and the warning line section is a line section whose warning coefficient is greater than a preset warning coefficient.

[0112] The value of the preset warning coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the line monitoring record. The higher the user's requirements for the timeliness of line abnormality maintenance, the smaller the value of the preset warning coefficient. A method for determining the value of the preset warning coefficient is provided, and the minimum value of the warning coefficient of each warning line section in the line monitoring record that meets the user's requirements for the timeliness of line abnormality maintenance is recorded as the preset warning coefficient;

[0113] For a single warning line section, the warning distribution reference value is the number of warning line sections included in the distribution analysis range of the warning line section, the midpoint of the distribution analysis range is the midpoint of the warning line section, the length of the transmission line section included in the distribution analysis range is positively correlated with the warning coefficient, and the value of the preset warning distribution reference value can be determined by the user according to the actual working scenario. For example, the user can set it according to the line monitoring record, and a method for setting the preset distribution reference value is provided, and the line monitoring record for the combined execution analysis of the warning line section is recorded as the execution reference record, and the minimum value of the warning distribution reference value of each warning line section in the execution reference record that meets the user's requirements for the timeliness of line abnormal maintenance is recorded as the preset warning distribution reference value;

[0114] If the warning distribution reference value of a warning line section is less than or equal to the preset warning distribution reference value, the warning line section is recorded as a dispersed warning line section, and the priority execution coefficient of each dispersed warning line section is determined according to the warning coefficient and the warning difference parameter. The priority execution coefficient is positively correlated with the dispersed warning coefficient. For a single dispersed warning line section, the dispersed warning coefficient is determined according to the warning coefficient and the warning dispersion parameter. The dispersed warning coefficient is the sum of the products of the warning coefficient and the warning dispersion parameter and the corresponding influence coefficient. The warning dispersion parameter is the minimum value of the distance between the dispersed warning line section and other warning line sections. The distance between two warning line sections is the distance between the midpoints of the two warning line sections relative to the horizontal ground. Users can set the values ​​of the warning coefficient and the influence coefficient corresponding to the warning dispersion parameter according to actual needs, and provide a value of the influence coefficient corresponding to the warning coefficient and the warning dispersion parameter. The value of the influence coefficient corresponding to the warning coefficient is 0.5, and the value of the influence coefficient corresponding to the warning dispersion parameter is 0.5.

[0115] Specifically, the warning execution module responds to the combination analysis conditions and performs combination division on the dense warning line sections to obtain a number of warning section combinations;

[0116] Determine the priority execution coefficient of each dense warning line section in each warning section combination according to the reference warning coefficient and the combination concentration coefficient;

[0117] The dense warning line section is a warning line section where the warning distribution reference value is greater than the preset warning distribution reference value;

[0118] The combined analysis condition is that each warning line section has completed the warning execution strategy judgment and there are dense warning line sections.

[0119] Among them, for a single warning section combination, any dense warning line section exists in the distribution analysis range of at least another warning line section in the warning section combination, the priority execution coefficient of each dense warning line section in the warning section combination is positively correlated with the combined warning coefficient, the combined warning coefficient = ln (reference warning coefficient / combined concentration coefficient), the reference warning coefficient is the average value of the combined warning coefficients of each warning section in the warning section combination, the combined concentration coefficient is the average value of the distances between adjacent sections in the warning section combination, if there is no other warning line section between two warning line sections, the distance between the midpoints of the above two warning line sections relative to the horizontal ground is recorded as an adjacent section distance;

[0120] During the process of performing ice treatment on the warning line section, the larger the priority execution coefficient, the higher the priority of ice treatment. In addition, if there is a warning section combination, during the process of performing ice treatment on the warning section combination, the ice treatment device does not perform ice treatment on the warning line sections outside the warning section combination. How to use the ice treatment device to treat ice on the transmission line is easy for technical personnel in this field to understand and will not be elaborated here.

[0121] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0122] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An early warning system for remotely monitoring the vibration status of a power transmission line, characterized in that: include: An icing monitoring module is used to respond to the key monitoring coefficient of the category setting conditions to determine the category of each transmission line, and periodically detect and determine the abnormal icing state of each category I transmission line based on the icing reference value and the icing difference; A monitoring and analysis module, which is connected to the ice monitoring module, and is used to respond to the strategy determination conditions to determine the adjustment processing method of each type of transmission line, the adjustment processing method includes determining the monitoring compensation method according to the key distribution state, and adjusting the early warning coefficient according to the abnormal distribution coefficient and the ice detection value; A regional compensation module, which is connected to the monitoring and analysis module, includes a first regional compensation unit and a second regional compensation unit, which is used to respond to different compensation conditions to determine an early warning adjustment strategy, wherein the early warning adjustment strategy includes determining whether to adjust the early warning coefficient according to the abnormal overlap of each densely monitored area, and determining whether to adjust the early warning coefficient of the adjacent line section of each key analysis section according to the adjacent difference coefficient; An early warning execution module, which is connected to the monitoring and analysis module and the regional compensation module, is used to determine the early warning line section according to the early warning coefficient, and responds to the early warning distribution reference value of the execution judgment condition to determine the early warning execution strategy of each early warning line section; For a single transmission line, the key monitoring coefficient = ln (percentage of ice-covered sections × line fluctuation coefficient); Determine the ice thickness at the corresponding position of each ice thickness monitoring point according to the obtained tension change, and record the detected ice thickness as the ice detection value; For a single Class I transmission line, the ice coverage reference value is the average value of the ice coverage detection values ​​obtained at each ice coverage thickness monitoring point on the Class I transmission line. The ice coverage difference D = , n is the number of ice thickness monitoring points on a type of transmission line, F is the ice detection value of the ith ice thickness monitoring point, is the reference value of ice cover; For a single Class I line section, the abnormal distribution coefficient is the shortest distance between the Class I transmission section and the key line point; The key distribution state is determined according to the spacing distance between key monitoring points in a type of power transmission line, and the key distribution state includes a concentrated state and a discrete state; The early warning coefficient of each transmission line section is positively correlated with its vibration parameter, and the vibration parameter is used to characterize the vibration amplitude of each transmission line section; The dense monitoring area is determined according to the interval distance between key monitoring points. The interval distance between adjacent key monitoring points in any dense monitoring area is less than the preset interval distance. For a single dense monitoring area, the abnormal coincidence degree = the number of abnormal line sections in the dense monitoring area / the number of a type of line sections in the dense monitoring area. The abnormal line section is a type of line section with a warning coefficient greater than the preset warning coefficient; A type of line section with a key monitoring point is recorded as a key analysis section. For a single key analysis section, a type of line section with the same endpoint is recorded as an adjacent line section of the key analysis section. For a single adjacent line section, the adjacent difference coefficient = lg (ice coverage difference reference value / early warning coefficient difference value). The section ice coverage reference value of the adjacent line section and its corresponding key analysis section is detected. The section ice coverage reference value is the average value of the ice coverage detection values ​​obtained from each ice coverage thickness monitoring point in a transmission line section. The ice coverage difference reference value = the section ice coverage reference value of the key analysis section - the section ice coverage reference value of the adjacent line section. The early warning coefficient difference value is the absolute value of the difference between the early warning coefficients of the key analysis section and the adjacent line section. For a single warning line section, the warning distribution reference value is the number of warning line sections included in the distribution analysis range of the warning line section, the midpoint of the distribution analysis range is the midpoint of the warning line section, and the length of the transmission line section included in the distribution analysis range is positively correlated with the warning coefficient.

2. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 1, characterized in that: The category setting condition responded by the ice covering monitoring module is that the key monitoring coefficient of a transmission line is greater than the preset key monitoring coefficient, then the transmission line section is determined to be a Class I transmission line; If the category setting condition responded by the ice monitoring module is that the key monitoring coefficient of a transmission line is less than or equal to the preset key monitoring coefficient, the transmission line section is determined to be a Class II transmission line; The ice-covered monitoring module determines the key monitoring coefficient of each transmission line section according to the proportion of ice-covered sections and the line fluctuation coefficient, and the key monitoring coefficient is positively correlated with the proportion of ice-covered sections and the line fluctuation coefficient respectively; The proportion of ice-covered sections = the number of ice thickness monitoring points with ice detection values ​​greater than 0 / the number of ice thickness monitoring points on the transmission line. The line fluctuation coefficient is determined according to the line length and load intensity of the transmission line. The line fluctuation coefficient is the sum of the products of the line length and load intensity and the corresponding influence coefficients.

3. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 2, characterized in that: The ice coating monitoring module responds to the state determination condition to periodically determine the abnormal ice coating state of each type of power transmission line; For a single Class I transmission line, The state determination condition responded by the ice covering monitoring module is that the ice covering reference value is greater than the preset ice covering reference value and the ice covering difference is greater than the preset ice covering difference, then it is determined that the first type of transmission line is in the first ice covering abnormal state; The state determination condition responded by the ice covering monitoring module is that the ice covering reference value is greater than the preset ice covering reference value and the ice covering difference is less than or equal to the preset ice covering difference, then it is determined that the first type of transmission line is in the second ice covering abnormal state.

4. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 3 is characterized in that: The monitoring and analysis module detects the key distribution state of the first type of transmission line in response to the first determination condition, and the key distribution state is determined according to the interval distance between the key monitoring points in the first type of transmission line; The monitoring and analysis module responds to the critical interval distance of the distribution judgment condition to determine the critical distribution state; The distribution judgment condition responded by the monitoring and analysis module is that the critical interval distance is less than or equal to the preset critical interval distance, and the critical distribution state of the transmission line of this type is determined to be a concentrated state; If the distribution judgment condition responded by the monitoring and analysis module is that the critical interval distance is greater than the preset critical interval distance, the distribution state of the key monitoring points of a type of transmission line is determined to be a discrete state; The first determination condition is that the icing monitoring module determines that any type of power transmission line is in a first icing abnormal state; For any type of transmission line in the first icing abnormal state, the ice thickness monitoring point whose ice detection value is greater than the ice reference value of the type of transmission line is recorded as a key monitoring point, and the interval distances between adjacent key monitoring points in the type of transmission line are detected, and the average value of the interval distances obtained by detection is recorded as the key interval distance of the type of transmission line.

5. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 4, characterized in that: The monitoring and analysis module responds to different key distribution states to determine the monitoring compensation mode; If the monitoring and analysis module responds to the concentrated state, it is determined that the first regional compensation unit performs intensive monitoring area division for a type of power transmission line; The monitoring and analysis module responds to the decentralized state, and determines that the second regional compensation unit performs regional difference analysis on a type of transmission line.

6. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 5, characterized in that: The first area compensation unit responds to the first compensation condition, determines the dense monitoring area according to the interval distance between the key monitoring points, and determines whether to adjust the early warning coefficient of the included type of line section according to the abnormal overlap of each dense monitoring area; For a single densely monitored area, The regional compensation condition responded by the first regional compensation unit is that the abnormal overlap is greater than the preset abnormal overlap, and it is determined that the early warning coefficient of each Class I line section included in the dense monitoring area is increased and adjusted according to the regional ice coverage reference value and the abnormal overlap; The distance between adjacent key monitoring points in any dense monitoring area is less than the preset distance; The first compensation condition is that the monitoring and analysis module determines that the first area compensation unit divides a type of transmission line into intensive monitoring areas.

7. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 6, characterized in that: The second area compensation unit records a type of line section with a key monitoring point as a key analysis section in response to the second compensation condition, detects the adjacent difference coefficients between each key analysis section and its adjacent type of line section, and determines whether to adjust the warning coefficient of the adjacent line section of each key analysis section in response to the adjacent difference coefficients of the difference compensation condition; For a single adjacent line segment, If the difference compensation condition responded by the second area compensation unit is that the adjacent difference coefficient is greater than the preset adjacent difference coefficient, it is determined that the warning coefficient of the adjacent line section is reduced and adjusted according to the adjacent difference coefficient and the section interference coefficient; The second compensation condition is that the monitoring and analysis module determines that the second regional compensation unit performs regional difference analysis on a type of transmission line; The segment interference coefficient is the number of key analysis segments within the distribution analysis range of the adjacent line segments.

8. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 7, characterized in that: The monitoring and analysis module responds to the second determination condition and increases and adjusts the early warning coefficient of each first-class line section in the first-class transmission line according to the abnormal distribution coefficient and the ice detection value; The increase value of the warning coefficient is positively correlated with the abnormal distribution coefficient and the ice detection value respectively; The second determination condition is that the icing monitoring module determines that any type of power transmission line is in a second icing abnormal state.

9. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 8, characterized in that: The warning execution module responds to the warning improvement conditions and determines the warning execution strategy for each warning line section according to the warning distribution reference value; For a single warning line section, The execution determination condition responded by the warning execution module is that the warning distribution reference value is greater than the preset warning distribution reference value, then it is determined to perform combined execution analysis on the warning line section; The corresponding execution judgment condition of the warning execution module is that the warning distribution reference value is less than or equal to the preset warning distribution reference value, then the priority execution coefficient of the warning line section is determined according to the warning coefficient and the warning difference parameter; The warning improvement condition is that the warning coefficients of each Class I line section in a Class I transmission line are all adjusted, and the warning line section is a line section whose warning coefficient is greater than a preset warning coefficient; For a single warning line section, the warning distribution reference value is the number of warning line sections included in the distribution analysis range of the warning line section, the midpoint of the distribution analysis range is the midpoint of the warning line section, and the length of the transmission line section included in the distribution analysis range is positively correlated with the warning coefficient; The priority execution coefficient of each decentralized warning line section is determined according to the warning coefficient and the warning difference parameter. The priority execution coefficient is positively correlated with the decentralized warning coefficient.

10. The early warning system for remotely monitoring the vibration status of a power transmission line according to claim 9, characterized in that: The warning execution module responds to the combination analysis conditions and performs combination division on the dense warning line sections to obtain a plurality of warning section combinations; Determine the priority execution coefficient of each dense warning line section in each warning section combination according to the reference warning coefficient and the combination concentration coefficient; The dense warning line section is a warning line section where the warning distribution reference value is greater than the preset warning distribution reference value; The combined analysis condition is that each warning line section has completed the warning execution strategy determination and there are dense warning line sections; The combined concentration coefficient is the average value of the distances between adjacent sections in the warning section combination. If there is no other warning line section between two warning line sections, the distance between the midpoints of the two warning line sections relative to the horizontal ground is recorded as an adjacent section distance.

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