Portable three-dimensional visual query system for power optical cable resources

Abstract

The invention relates to the technical field of optical cable monitoring, in particular to a portable power optical cable resource three-dimensional visual query system, which comprises an optical cable information acquisition module, a data analysis module, a visual generation module and a query adjustment module, and is characterized in that the optical cable information acquisition module acquires optical cable working parameters, physical information and tower environment and position data; the data analysis module performs region division according to environment, position and historical fault information, generates a resource stability characterization parameter and judges an abnormal query type; the visualization generation module constructs a three-dimensional virtual scene and maps optical cable and tower states; and the query adjustment module dynamically adjusts an update strategy according to the abnormal types and parameters, and realizes automatic visual early warning based on connection point displacement or dispersion change. According to the invention, multi-dimensional perception, intelligent partition management and dynamic visual management of power optical cable resources are realized.

Description

Technical Field

[0001] This invention relates to the field of optical cable monitoring technology, and in particular to a portable three-dimensional visualization query system for power optical cable resources. Background Technology

[0002] In the daily operation and maintenance of power communication optical cable networks, traditional management methods typically rely on establishing optical cable data databases for information storage and management. Existing database systems still have shortcomings in terms of information integration, visualization, and adaptability to field applications. Currently, the industry has attempted to digitally model optical cable resources and present them graphically, with some systems supporting the viewing of optical cable network topology and attribute information on portable devices. However, in practical applications, especially in on-site operation scenarios such as daily inspections, emergency repairs, and relocation construction, existing systems still suffer from problems such as insufficiently intuitive human-computer interaction, inaccurate information delivery, and weak adaptability to business scenarios.

[0003] In practice, on-site maintenance personnel often still rely on drawings, reports, and frequent manual communication to obtain the necessary information. This method is prone to errors due to misunderstandings or untimely information updates, and it also increases the manpower and time costs of backend data querying and processing. Furthermore, in emergency situations such as disaster relief and rescue, the inability to obtain timely, accurate, and intuitive fiber optic cable resource information affects emergency response efficiency to some extent, posing a potential threat to the safe and stable operation of the power communication network.

[0004] Chinese Patent Publication No. CN119382790B discloses a method and system for online visualization monitoring of optical cables based on 5G communication. The method acquires optical cable structure information, including connection information and location information between multiple optical cables. An optical cable monitoring model is constructed based on this structure information. Multiple acquisition points are set up and connected to the optical cable monitoring model. Operational information of multiple optical cables, including performance information, optical signal quality information, and optical cable status monitoring information, is collected from these acquisition points and transmitted to an upper-layer storage network. The optical cables corresponding to the operational information are projected onto the optical cable monitoring model for visualization. However, this method and system suffer from the following problems: when performing visualization queries on large-area optical cables, the method of constructing the visualization model using real-time updates consumes high computational power and does not consider the influence of environmental and geographical factors, making it impossible to perform timely and accurate global updates to the model. Summary of the Invention

[0005] To address this, the present invention provides a portable three-dimensional visualization query system for power optical cable resources, which overcomes the problems of existing technologies that, when performing visualization queries on large-area optical cables, consume high computational power to build visualization models using a fully real-time update approach and fail to consider the influence of environmental and geographical factors, thus making it impossible to perform timely and accurate global updates to the models.

[0006] To achieve the above objectives, the present invention provides a portable three-dimensional visualization query system for power optical cable resources, comprising:

[0007] The optical cable information acquisition module is used to collect the status information of all target detection heterogeneous optical cables, as well as to obtain the environmental and location information of each optical cable connection tower. The status information includes working parameter information and physical information.

[0008] The operating parameter information includes optical power and dispersion, the physical information includes the location of the optical cable connection point and the optical cable temperature, and the environmental information includes ambient temperature and wind speed.

[0009] The data analysis module is used to divide all target detection heterogeneous optical cables into several visualization areas based on the collected environmental and location information of each optical cable connection tower and combined with historical fault information. It also generates resource stability characterization parameters of heterogeneous optical cables in each area based on the working parameter information to characterize the fluctuation state of optical cable resources in the corresponding visualization area, and determines the anomaly query type.

[0010] The visualization generation module is used to construct corresponding virtual connection towers in virtual space based on the location information of each optical cable connection tower, construct corresponding virtual optical cables based on the physical information, mark the corresponding virtual optical cables based on the working parameter information, and generate corresponding visualization query areas based on all the visualization areas.

[0011] The query adjustment module controls the visualization generation module to update each visualization query area according to the abnormal query type, increase the update frequency of the virtual optical cable according to the resource stability characterization parameter, synchronously update the optical cable connection point position and the wind information, and determine whether to issue an automatic visualization reminder based on the change in the optical cable connection point position, or determine whether to perform automatic visualization update based on the change in the dispersion.

[0012] As a preferred technical solution for a portable three-dimensional visualization query system for power optical cable resources, the data analysis module uses a spatial clustering algorithm to geographically group all towers based on the location information of each optical cable connecting tower, classifies towers with adjacent geographical locations into the same tower cluster, and determines each tower cluster and all heterogeneous optical cables connected to it as the initial management area.

[0013] As a preferred technical solution for a portable three-dimensional visualization query system for power optical cable resources, the data analysis module makes a preliminary adjustment to the initial management area based on the frequency of historical fault information to obtain the final management area.

[0014] The data analysis module refines the final management area and determines the visualization area based on the environmental information;

[0015] In this context, the coverage of a single visualization area does not involve multiple final management areas.

[0016] As a preferred technical solution for a portable three-dimensional visualization query system for power optical cable resources, the data analysis module determines resource stability characterization parameters based on the working parameter information of all optical cables in each visualization area.

[0017] The data analysis module determines the optical power of all optical cables within the current visualization area and calculates their attenuation percentage, and determines the average and average deviation of the attenuation percentage;

[0018] The data analysis module determines the resource stability characterization parameter based on the ratio of the average deviation of the attenuation percentage to the average value of the attenuation percentage.

[0019] As a preferred technical solution for a portable 3D visualization query system for power optical cable resources, the data analysis module determines the abnormal query type of the current visualization area based on the resource stability characterization parameters, including:

[0020] If the resource stability characterization parameter is greater than or equal to the standard resource stability characterization parameter, the data analysis module determines that the abnormal query type of the current visualization area is a strong abnormal query type.

[0021] If the resource stability representation parameter is less than the standard resource stability representation parameter, the data analysis module determines that the abnormal query type of the current visualization area is a weak abnormal query type.

[0022] As a preferred technical solution for a portable 3D visualization query system for power optical cable resources, the query adjustment module updates each visualization query area according to the abnormal query type, including:

[0023] If the current visualization query area is a strong anomaly query type, the query adjustment module increases the update frequency of the virtual optical cable according to the resource stability characterization parameter, updates the optical cable connection point position and the wind information synchronously, and determines whether to issue an automatic visualization reminder based on the change in the optical cable connection point position.

[0024] If the current visualization query area is a weak anomaly query type, then determine whether to perform automatic visualization updates based on the amount of change in dispersion.

[0025] As a preferred technical solution for a portable three-dimensional visualization query system for power optical cable resources, the query adjustment module determines the increase in the update frequency of the virtual optical cable based on the difference between the resource stability characterization parameter and the standard resource stability characterization parameter.

[0026] The increase in the update frequency is positively correlated with the difference.

[0027] As a preferred technical solution for a portable 3D visualization query system for power optical cable resources, the query adjustment module determines whether to issue an automatic visual alert based on the change in the location of the optical cable connection point, including:

[0028] If the change in the position of the optical cable connection point meets the conditions for optical cable abnormality, the query and adjustment module will issue an automatic visual reminder.

[0029] If the change in the position of the optical cable connection point does not meet the conditions for optical cable abnormality, the query and adjustment module will not issue an automatic visual reminder.

[0030] Among them, the abnormal condition of optical cable is that the change in the position of the optical cable connection point causes the sag value of the optical cable to exceed the sag threshold. The automatic visual reminder is that the visualization generation module highlights the corresponding visual query area.

[0031] As a preferred technical solution for a portable 3D visualization query system for power optical cable resources, the query adjustment module determines whether to perform automatic visualization updates based on the change in dispersion, including:

[0032] When the dispersion change exceeds the dispersion change threshold, the query adjustment module generates an automatic visualization update instruction, enabling the visualization generation module to update the information of the corresponding visualization query area.

[0033] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention takes geographical location, historical faults, and environmental factors as inputs. First, it uses spatial clustering to group adjacent towers into the same initial management area. Then, it merges high-risk boundaries according to fault frequency. Finally, it subdivides into non-overlapping visualization areas based on elevation differences, ensuring high consistency in meteorological, electrical, and topographical aspects for each area. Subsequently, it uses the dispersion of optical power attenuation to calculate resource stability indicators, automatically classifying areas into strong or weak anomaly types, and dynamically adjusting the refresh frequency of the virtual model accordingly, updating faster for more unstable areas. Simultaneously, it compares the sag change rate and strain level in real time, triggering a highlight warning once the safe range is exceeded. It also uses statistical thresholds of dispersion data to determine whether to immediately redraw the layer, ensuring that computing resources and maintenance attention are always focused on the highest-risk sections, significantly reducing redundant inspections, detecting mechanical overload and transmission performance degradation in advance, and comprehensively improving the fault warning, response speed, and visualization accuracy of the optical cable network.

[0034] In particular, this invention transforms heterogeneous optical cable towers into hierarchical and visual management units. First, an initial management area is formed that is spatially continuous and has a highly similar operational environment, ensuring consistent meteorological and electrical characteristics within the same area and comparable optical cable health status. Then, adjacent areas are merged, making the boundary of the final management area isomorphic to the actual risk distribution, reducing the number of cross-regional collaborative maintenance operations. Finally, it is further subdivided by elevation, ensuring that the same visual area belongs to only one final management area, eliminating cross-rendering. This allows the monitoring system to have a macroscopic map of regional risks and, microscopically, pinpoint tower segments down to the meter level. Environmental anomalies, fault prediction, and differentiated inspection strategies are directly implemented in the visual area, significantly improving the regional perception accuracy, operational response speed, and resource management clarity of the optical cable network.

[0035] In particular, by establishing an objective anomaly risk grading mechanism based on statistical confidence levels, the system can automatically identify strong anomaly areas that significantly deviate from historical normal patterns and require immediate and in-depth attention. It can also identify weak anomaly states that require attention but can be handled routinely. This provides a clear decision-making logic for subsequent visualized focused queries and operational resource scheduling, greatly improving the intelligence level and operational response efficiency of the monitoring system.

[0036] In particular, this invention dynamically increases the virtual optical cable refresh frequency by using resource stability characterization parameters, prioritizing computation, bandwidth, and manpower for sections with deteriorating stability. Secondly, based on the fusion of multi-source data on dual-axis tilt angle, distributed strain, and sag / tension of the power tower, a high-brightness visual alarm is immediately triggered once the connection point shifts, causing an excessive rate of change in sag, thus exposing potential hazards such as insufficient ground safety distance or excessive tension in advance. Finally, a dispersion analyzer is used to periodically acquire PMD (Polarization and Deposition Method), and the layer is automatically refreshed when the change exceeds a threshold, avoiding the omission of pulse broadening caused by the accumulation of micro-stress birefringence. This significantly improves the timeliness of fault evolution capture, reduces ineffective inspections and rendering overhead, and achieves a simultaneous leap in operation and maintenance resource utilization, response speed, and prediction accuracy. Attached Figure Description

[0037] Figure 1 This is a schematic diagram of the structure of the portable three-dimensional visualization query system for power optical cable resources according to an embodiment of the present invention;

[0038] Figure 2 This is a logical diagram of the abnormal query types in the current visualization area of ​​this embodiment of the invention;

[0039] Figure 3 This is a logic diagram for determining whether to issue an automatic visual reminder in an embodiment of the present invention. Detailed Implementation

[0040] To make the objectives and advantages of the present invention clearer, the present invention will be further described below with reference to embodiments; it should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0041] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0042] It should be noted that in the description of this invention, the terms "upper", "lower", "left", "right", "inner", "outer", etc., which indicate directions or positional relationships, are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and is not intended to indicate or imply that the device or element must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation of this invention.

[0043] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0044] Please see Figure 1 The diagram shown is a structural schematic of a portable three-dimensional visualization query system for power optical cable resources according to an embodiment of the present invention. The present invention provides a portable three-dimensional visualization query system for power optical cable resources, comprising:

[0045] The optical cable information acquisition module is used to collect the status information of all target detection heterogeneous optical cables, as well as to obtain the environmental and location information of each optical cable connection tower. The status information includes working parameter information and physical information.

[0046] The operating parameter information includes optical power and dispersion, the physical information includes the location of the optical cable connection point and the optical cable temperature, and the environmental information includes ambient temperature and wind speed.

[0047] The data analysis module is used to divide all target detection heterogeneous optical cables into several visualization areas based on the collected environmental and location information of each optical cable connection tower and combined with historical fault information. It also generates resource stability characterization parameters of heterogeneous optical cables in each area based on the working parameter information to characterize the fluctuation state of optical cable resources in the corresponding visualization area, and determines the anomaly query type.

[0048] The visualization generation module is used to construct corresponding virtual connection towers in virtual space based on the location information of each optical cable connection tower, construct corresponding virtual optical cables based on the physical information, mark the corresponding virtual optical cables based on the working parameter information, and generate corresponding visualization query areas based on all the visualization areas.

[0049] The query adjustment module controls the visualization generation module to update each visualization query area according to the abnormal query type, increase the update frequency of the virtual optical cable according to the resource stability characterization parameter, synchronously update the optical cable connection point position and the wind information, and determine whether to issue an automatic visualization reminder based on the change in the optical cable connection point position, or determine whether to perform automatic visualization update based on the change in the dispersion.

[0050] In implementation, the heterogeneous optical cable is a power heterogeneous communication optical cable. For operating parameter information, optical power is acquired through the built-in measurement function of optical power meters or OTDR devices. These devices are usually deployed on the optical distribution frame of the communication station and perform non-intrusive real-time monitoring of the service optical signal through a beam splitter. Dispersion data acquisition requires the use of a dispersion analyzer, which is usually connected to the system periodically or triggered for measurement. For physical information, the precise location information of the optical cable connection point selected in this implementation as the junction box is mainly recorded in the database during optical cable construction or initial testing through the ranging function of the OTDR to form a baseline file, which can be continuously monitored through periodic OTDR testing. The acquisition of optical cable temperature relies on a distributed optical cable sensing system (DTS), which uses the optical cable itself as a sensor and continuously acquires the temperature value of every point on the entire optical cable by analyzing Raman scattering or Brillouin scattering light signals. Environmental information, namely temperature and wind data of the microenvironment in which each tower is located, is acquired in real time by installing intelligent monitoring devices that integrate temperature sensors and wind speed and direction sensors on the towers. These devices transmit the data back to the main station system through a dedicated wireless sensor network for the power system.

[0051] All the heterogeneous data collected by different devices are ultimately transmitted to the central data processing platform through standardized communication protocols, such as IEC61850 and MQTT, where they undergo data cleaning, timestamp alignment, and formatting to form a complete information record with a unified timestamp and data structure. This record is then stored in a real-time database or a historical database for use by the data analysis module.

[0052] In this invention, geographical location, historical faults, and environmental factors are used as inputs. First, adjacent towers are grouped into the same initial management area through spatial clustering. Then, high-risk boundaries are merged according to fault frequency. Finally, the area is subdivided into non-overlapping visualization areas based on elevation differences, ensuring that each area maintains a high degree of consistency in meteorology, electrical conditions, and topography. Subsequently, the resource stability index is calculated using the dispersion of optical power attenuation, automatically classifying areas into strong or weak anomaly types, and dynamically adjusting the refresh frequency of the virtual model accordingly, updating faster for more unstable areas. At the same time, the sag change rate and strain level are compared in real time. Once they exceed the safe range, a highlighting prompt is triggered, and the statistical threshold of dispersion data is used to determine whether to immediately redraw the layer. This ensures that computing resources and maintenance attention are always focused on the highest-risk sections, significantly reducing redundant inspections, detecting mechanical overload and transmission performance degradation in advance, and comprehensively improving the fault warning, response speed, and visualization accuracy of the optical cable network.

[0053] Specifically, the data analysis module uses a spatial clustering algorithm to geographically group all the towers based on the location information of each optical cable connecting tower, divides towers with adjacent geographical locations into the same tower cluster, and determines each tower cluster and all heterogeneous optical cables connected to it as the initial management area.

[0054] In implementation, the preferred spatial clustering algorithm is DBSCAN or K-means, with no specific limitation on the algorithm selection. Specifically, a location data set is constructed based on the latitude and longitude coordinates of all towers in the tower location information. The threshold for geographical grouping in the horizontal direction is 1.5 to 2 times the average distance between towers in the region, and the threshold for numerical grouping is 20 meters.

[0055] Understandably, the initial management area represents a spatially continuous and uniformly manageable group of fiber optic cable segments, laying the structural foundation for subsequent integration of environmental monitoring data, calculation of the region's overall health status, and implementation of differentiated visualization. The ultimate goal of this solution is to construct a hierarchical management model that matches the physical infrastructure and environmental impact factors, enhancing the monitoring system's regional awareness and the clarity of its management logic.

[0056] Specifically, the data analysis module makes a preliminary adjustment to the initial management area based on the frequency of historical fault information to obtain the final management area;

[0057] The data analysis module refines the final management area and determines the visualization area based on the environmental information;

[0058] In this context, the coverage of a single visualization area does not involve multiple final management areas.

[0059] In implementation, based on the historical operation and maintenance data of each tower, such as the number of failures, failure types, maintenance frequency, and average repair time, key monitoring towers and their locations are identified. Specifically, using the quantile method, towers are ranked according to the failure frequency of all towers over the past three years. The risk level corresponding to the top 20-30% of towers in terms of failure frequency is set as high-risk towers. Towers that have experienced multiple simultaneous failures in history are grouped into the same area. Adjacent towers located at the edge of the initial management area are adjusted to a single management area. For example, if initial management area A has 3 high-risk towers and initial management area B has 2 high-risk towers located near the boundary between A and B, then the two high-risk towers and their optical cables in area B are adjusted to area A, resulting in final management area A and final management area B.

[0060] Based on extensive boundary layer observation data, wind speed continuously increases with altitude. When the elevation difference reaches approximately 20–30 m, the wind speed difference exceeds the instrument's minimum detectable threshold. This wind shear is most pronounced in areas with abrupt changes in roughness, such as coastlines and mountains. Temperature decreases by approximately 0.6–0.7 °C per 10 m; therefore, a height difference of 15–20 m results in a temperature difference exceeding 0.5 °C, sufficient to be identified as an abnormal gradient by the distributed temperature monitoring (DTS) system. Thus, a 20 m elevation difference allows both wind speed changes and temperature decreases to be simultaneously measurable, effectively refining the final management area based on environmental information as equivalent to refining it based on vertical elevation differences.

[0061] Understandably, adjacent nodes with similar straight-line distances and minimal elevation changes are automatically grouped into the same tower cluster, and the outer contour of the cluster serves as the boundary of the initial management area. Spatial clustering of the initial management area ensures that the terrain, meteorological, and electrical environment within the same area are highly similar, thus resulting in several areas where the towers and the optical cables within them have highly consistent conditions.

[0062] Please see Figure 2 As shown, it is a logical diagram of the abnormal query type in the current visualization area of ​​the present invention embodiment. The data analysis module determines the resource stability characterization parameters based on the working parameter information of all optical cables in each visualization area.

[0063] The data analysis module determines the optical power of all optical cables within the current visualization area and calculates their attenuation percentage, and determines the average and average deviation of the attenuation percentage;

[0064] The data analysis module determines the resource stability characterization parameter based on the ratio of the average deviation of the attenuation percentage to the average value of the attenuation percentage.

[0065] In practice, optical power is detected using an OTDR or optical power meter.

[0066] Understandably, the process of determining the resource stability characterization parameter is not to directly calculate the average attenuation of all optical cables, but to further calculate the average attenuation percentage of the region. The purpose is to reflect the central trend of the overall performance and calculate its average deviation to reflect the dispersion or consistency of the performance of each optical cable. The resource stability characterization parameter is generated by the ratio. This parameter indicates that under the same average attenuation level, the difference or non-uniformity of the state of each optical cable is increasing, indicating a decrease in regional stability; conversely, it indicates that the regional state tends to be consistent and stable.

[0067] In this invention, the determined resource stability characterization parameters can sensitively reflect changes in the collective state of regional resources. They not only indicate significant performance degradation in a region but also keenly capture resource imbalances caused by abnormal performance of some optical cables. This provides clear and reliable decision support for maintenance personnel to take differentiated and precise maintenance measures, thereby improving the management efficiency of the overall resource status of the optical cable network.

[0068] In this invention, heterogeneous optical cable towers are transformed into hierarchical and visual management units. First, an initial management area is formed that is spatially continuous and has a highly similar operational environment, ensuring consistent meteorological and electrical characteristics within the same area and comparable optical cable health status. Then, adjacent areas are merged, making the boundary of the final management area isomorphic to the actual risk distribution, reducing the number of cross-regional collaborative maintenance operations. Finally, it is further subdivided according to elevation, ensuring that the same visualized area belongs to only one final management area, eliminating cross-rendering. This allows the monitoring system to have a macroscopic map of regional risks and, microscopically, pinpoint tower segments down to the meter level. Environmental anomalies, fault prediction, and differentiated inspection strategies are directly implemented in the visualized area, significantly improving the regional perception accuracy, operational response speed, and resource management clarity of the optical cable network.

[0069] Specifically, the data analysis module determines the abnormal query type of the current visualization area based on the resource stability characterization parameters, including:

[0070] If the resource stability characterization parameter is greater than or equal to the standard resource stability characterization parameter, the data analysis module determines that the abnormal query type of the current visualization area is a strong abnormal query type.

[0071] If the resource stability representation parameter is less than the standard resource stability representation parameter, the data analysis module determines that the abnormal query type of the current visualization area is a weak abnormal query type.

[0072] The core purpose of this step in the data analysis module is to automatically determine the level and nature of abnormal risks based on the quantified regional resource stability status, thereby driving the subsequent system to adopt differentiated query and response strategies. The aim is to transform a single stability indicator into a classification signal with clear operational guidance significance, realize the typified and precise processing of different levels of risks, and optimize the allocation efficiency of operational resources.

[0073] Specifically, during the initial system deployment or a known stable operating period after extensive maintenance, resource stability characteristics parameters for each region are continuously collected. The mean and standard deviation of this historical data are calculated, and the upper limit of the 95% confidence interval of the normal distribution is used as the threshold value for the standard resource stability characteristics parameter. If the current parameter is greater than or equal to this threshold, it means that the stability fluctuation of the current region has exceeded the extremely high value of the historical normal range, which is a low-probability event and is therefore judged as a strong anomaly query type. If the current parameter is less than this threshold, it indicates that although the current state may fluctuate, it is still within the historical normal range and is therefore judged as a weak anomaly query type.

[0074] In this invention, by establishing an objective anomaly risk grading mechanism based on statistical confidence levels, the system can automatically identify strong anomaly areas that significantly deviate from historical normal patterns and require immediate and in-depth attention. Simultaneously, it can also identify weak anomaly states that, while requiring attention, can be handled routinely. This provides a clear decision-making logic for subsequent visualized focused queries and operational resource scheduling, greatly improving the intelligence level of the monitoring system and the efficiency of operational response.

[0075] Specifically, the query adjustment module updates each visual query area according to the abnormal query type, including:

[0076] If the current visualization query area is a strong anomaly query type, the query adjustment module increases the update frequency of the virtual optical cable according to the resource stability characterization parameter, updates the optical cable connection point position and the wind information synchronously, and determines whether to issue an automatic visualization reminder based on the change in the optical cable connection point position.

[0077] If the current visualization query area is a weak anomaly query type, then determine whether to perform automatic visualization updates based on the amount of change in dispersion.

[0078] Specifically, the query adjustment module determines the increase in the update frequency of the virtual optical cable based on the difference between the resource stability characterization parameter and the standard resource stability characterization parameter.

[0079] The increase in the update frequency is positively correlated with the difference.

[0080] In implementation, the refresh frequency of the virtual optical cable status is dynamically adjusted based on the deviation between the resource stability characterization parameters and the standard reference values, thereby achieving optimal allocation of system monitoring resources. This ensures that the attention and computing resources of operation and maintenance personnel can be prioritized and more frequently directed to areas where stability is deteriorating or that are already in a high-risk state, thereby improving the response efficiency and resource utilization efficiency of the entire monitoring system.

[0081] In implementation, the increase in update frequency is Δf = (K - K0) / K0 × f0, where K is the resource stability characterization parameter, K0 is the standard resource stability characterization parameter, T0 is the initial update frequency, which is selected within the interval [1s, 5s]. The adjusted update frequency is f' = f0 + Δf. The initial update frequency is 1 day, and the optical cable information acquisition module continuously acquires status information.

[0082] Understandably, the system no longer updates all areas at the same frequency on a fixed cycle. Instead, it can automatically capture and visualize more intensive monitoring data for areas with higher risks and more drastic changes in status. This allows the system to show the evolution of potential faults earlier and more clearly, providing maintenance personnel with more timely decision-making information.

[0083] Please see Figure 3 As shown, the logic diagram of determining whether to issue an automatic visual reminder in an embodiment of the present invention includes: The query and adjustment module determines whether to issue an automatic visual reminder based on the change in the position of the optical cable connection point, including:

[0084] If the change in the position of the optical cable connection point meets the conditions for optical cable abnormality, the query and adjustment module will issue an automatic visual reminder.

[0085] If the change in the position of the optical cable connection point does not meet the conditions for optical cable abnormality, the query and adjustment module will not issue an automatic visual reminder.

[0086] Among them, the abnormal condition of optical cable is that the change in the position of the optical cable connection point causes the sag value of the optical cable to exceed the sag threshold. The automatic visual reminder is that the visualization generation module highlights the corresponding visual query area.

[0087] During implementation, the tilt of the power tower will change the suspension point position and tension of the optical cable, thus affecting the sag of the optical cable. Excessive or insufficient sag will threaten the safe operation of the optical cable. When the rate of change of the sag value of the optical cable within a certain span relative to its initial design sag value exceeds ±10% to ±15%, the system should determine it as abnormal. Theoretical calculations can be performed based on the optical cable's model, self-weight, rated tension, and other parameters for that span to calculate its theoretical design sag value under rated weather conditions. Based on the safe operation specifications of the optical cable, a safe threshold for the sag value is determined. For example, an excessive increase in sag may lead to insufficient safety distance to the ground, while an excessive decrease in sag means that the tension of the optical cable increases sharply, which may exceed its mechanical strength limit. This safety threshold is usually provided by the optical cable manufacturer or determined based on industry standards such as IEEE and CIGRE. The final abnormal judgment threshold is F0 ± ΔF.

[0088] When the strain value of the optical cable itself exceeds 0.2% to 0.5% as detected by distributed optical cable sensing (DSS) technology, the system should determine it as abnormal. This threshold directly corresponds to the physical yield limit of the optical cable. The long-term strain safety range that communication optical cables can usually withstand is below 0.5%. Exceeding this value poses a risk of breakage. This threshold is strictly dependent on the specific specifications of the optical cable used and is determined by the manufacturer. During monitoring, a dual-axis tilt sensor is installed on the tower to monitor the tilt angle and trend of the tower in two directions in real time. A camera is installed on the tower to analyze the sag shape to determine sag data, laser ranging, or indirect calculation through tension sensors. The optical cable strain data is obtained using distributed optical cable sensing technology, which utilizes the communication optical cable itself as a sensor to continuously measure the strain at every point along the entire optical cable.

[0089] Specifically, the query adjustment module determines whether to perform automatic visual updates based on the change in dispersion, including:

[0090] When the dispersion change exceeds the dispersion change threshold, the query adjustment module generates an automatic visualization update instruction, enabling the visualization generation module to update the information of the corresponding visualization query area.

[0091] Understandably, dispersion is a crucial indicator for high-speed transmission systems. This implementation uses PMD (Polarization-Dispersion Mode). Dispersion causes optical pulse broadening, leading to signal distortion. Furthermore, the long-term uneven lateral pressure and torsional force on the optical cable cause permanent stress birefringence within the fiber. Therefore, for relatively stable visual query areas, using dispersion as an update indicator avoids over-updating the model while promptly identifying abnormal optical cable conditions in the area.

[0092] In implementation, dispersion data of the optical cable within the current visualization area, provided by a dispersion analyzer, is periodically acquired, and its absolute change relative to the previous recorded value or baseline value is calculated, directly reflecting the drastic change in optical fiber transmission characteristics. The amount of dispersion change is compared with a dispersion change threshold. The dispersion change threshold is based on statistical analysis of historical system operating data. Specifically, during the stable operation phase of the system, a large amount of dispersion change data is collected over a long period, and its distribution is observed. The initial threshold can be set at a relatively high percentage point of this historical data distribution, preferably 95%, indicating that during the historical stable period, 95% of normal fluctuations are below this value. Fluctuations exceeding this threshold are considered low-probability abnormal events.

[0093] When the real-time calculated dispersion change exceeds the final determined threshold, the query adjustment module determines that the transmission medium in the current area has changed significantly and then generates a visualization automatic update command. This command is sent to the visualization generation module, which immediately reacquires and updates the optical cable status information and graphics rendering within the corresponding visualization query area.

[0094] In this invention, the refresh frequency of the virtual optical cable is dynamically increased by using resource stability characterization parameters, prioritizing computation, bandwidth, and manpower for sections with deteriorating stability. Secondly, based on the fusion of multi-source data on the dual-axis tilt angle, distributed strain, and sag / tension of the power tower, a high-brightness visual alarm is immediately triggered once the connection point shifts, causing an excessive rate of change in sag, thus exposing potential hazards such as insufficient ground safety distance or excessive tension in advance. Finally, a dispersion analyzer is used to periodically acquire PMD (partial dynamic range), and the layer is automatically refreshed when the change exceeds a threshold, avoiding the omission of pulse broadening caused by the accumulation of micro-stress birefringence. This significantly improves the timeliness of capturing the fault evolution process, reduces ineffective inspections and rendering overhead, and achieves a simultaneous leap in the utilization rate of operation and maintenance resources, response speed, and prediction accuracy.

[0095] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles 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 all fall within the scope of protection of the present invention.

[0096] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A portable three-dimensional visualization query system for power optical cable resources, characterized in that, include: The optical cable information acquisition module is used to collect the status information of all target detection heterogeneous optical cables, as well as to obtain the environmental and location information of each optical cable connection tower. The status information includes working parameter information and physical information. The operating parameter information includes optical power and dispersion, the physical information includes the location of the optical cable connection point and the optical cable temperature, and the environmental information includes ambient temperature and wind speed. The data analysis module is used to divide all target detection heterogeneous optical cables into several visualization areas based on the collected environmental and location information of each optical cable connection tower and combined with historical fault information. It also generates resource stability characterization parameters of heterogeneous optical cables in each area based on the working parameter information to characterize the fluctuation state of optical cable resources in the corresponding visualization area, and determines the anomaly query type. The visualization generation module is used to construct corresponding virtual connection towers in virtual space based on the location information of each optical cable connection tower, construct corresponding virtual optical cables based on the physical information, mark the corresponding virtual optical cables based on the working parameter information, and generate corresponding visualization query areas based on all the visualization areas. The query adjustment module controls the visualization generation module to update each visualization query area according to the abnormal query type, increase the update frequency of the virtual optical cable according to the resource stability characterization parameter, synchronously update the optical cable connection point position and the wind information, and determine whether to issue an automatic visualization reminder based on the change in the optical cable connection point position, or determine whether to perform automatic visualization update based on the change in the dispersion.

2. The portable three-dimensional visualization query system for power optical cable resources according to claim 1, characterized in that, The data analysis module uses a spatial clustering algorithm to geographically group all the towers based on the location information of each optical cable connection tower, classifies towers with adjacent geographical locations into the same tower cluster, and determines each tower cluster and all heterogeneous optical cables connected to it as the initial management area.

3. The portable three-dimensional visualization query system for power optical cable resources according to claim 2, characterized in that, The data analysis module makes a preliminary adjustment to the initial management area based on the frequency of historical fault information to obtain the final management area; The data analysis module refines the final management area and determines the visualization area based on the environmental information; In this context, the coverage of a single visualization area does not involve multiple final management areas.

4. The portable three-dimensional visualization query system for power optical cable resources according to claim 3, characterized in that, The data analysis module determines resource stability characterization parameters based on the operating parameter information of all optical cables in each visualization area; The data analysis module determines the optical power of all optical cables within the current visualization area and calculates their attenuation percentage, and determines the average and average deviation of the attenuation percentage; The data analysis module determines the resource stability characterization parameter based on the ratio of the average deviation of the attenuation percentage to the average value of the attenuation percentage.

5. The portable three-dimensional visualization query system for power optical cable resources according to claim 4, characterized in that, The data analysis module determines the abnormal query type of the current visualization area based on the resource stability characterization parameters, including: If the resource stability characterization parameter is greater than or equal to the standard resource stability characterization parameter, the data analysis module determines that the abnormal query type of the current visualization area is a strong abnormal query type. If the resource stability representation parameter is less than the standard resource stability representation parameter, the data analysis module determines that the abnormal query type of the current visualization area is a weak abnormal query type.

6. The portable three-dimensional visualization query system for power optical cable resources according to claim 5, characterized in that, The query adjustment module updates each visual query area according to the abnormal query type, including: If the current visualization query area is a strong anomaly query type, the query adjustment module increases the update frequency of the virtual optical cable according to the resource stability characterization parameter, updates the optical cable connection point position and the wind information synchronously, and determines whether to issue an automatic visualization reminder based on the change in the optical cable connection point position. If the current visualization query area is a weak anomaly query type, then determine whether to perform automatic visualization updates based on the amount of change in dispersion.

7. The portable three-dimensional visualization query system for power optical cable resources according to claim 1, characterized in that, The query adjustment module determines the increase in the update frequency of the virtual optical cable based on the difference between the resource stability characterization parameter and the standard resource stability characterization parameter. The increase in the update frequency is positively correlated with the difference.

8. The portable three-dimensional visualization query system for power optical cable resources according to claim 1, characterized in that, The query adjustment module determines whether to issue an automatic visual alert based on the change in the location of the optical cable connection point, including: If the change in the position of the optical cable connection point meets the conditions for optical cable abnormality, the query and adjustment module will issue an automatic visual reminder. If the change in the position of the optical cable connection point does not meet the conditions for optical cable abnormality, the query and adjustment module will not issue an automatic visual reminder. Among them, the abnormal condition of optical cable is that the change in the position of the optical cable connection point causes the sag value of the optical cable to exceed the sag threshold. The automatic visual reminder is that the visualization generation module highlights the corresponding visual query area.

9. The portable three-dimensional visualization query system for power optical cable resources according to claim 8, characterized in that, The query adjustment module determines whether to perform automatic visual updates based on the change in dispersion, including: When the change in dispersion exceeds the dispersion change threshold, the query adjustment module generates an automatic visualization update instruction, enabling the visualization generation module to update the information in the corresponding visualization query area.

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