A cable channel panoramic management and control system based on multi-dimensional information perception

Abstract

The application provides a cable channel panoramic management and control system based on multi-dimensional information perception, which comprises a monitoring client, a cloud platform and a front-end perception device, the monitoring client and the front-end perception device are respectively in communication connection with the cloud platform, the system monitors the cable channel from multiple dimensions through the front-end perception device, collects multi-dimensional perception data and sends them to the cloud platform, the cloud platform constructs a DIKW graph based on the multi-dimensional perception data, analyzes the abnormal conditions of the cable channel based on the DIKW graph, and realizes three-dimensional visual display of multi-dimensional perception information of the cable channel through the monitoring client, the application realizes active early warning of cable channel safety monitoring by fusing multi-dimensional perception information, saves the cost of manual inspection, reduces the number of households caused by power failure due to cable damage, and thus improves the social and power grid operation safety benefits.

Description

Technical Field

[0001] This invention relates to the field of cable channel monitoring technology, and in particular to a panoramic control system for cable channels based on multi-dimensional information perception. Background Technology

[0002] Currently, urban power cables are widely distributed and numerous. Ensuring their protection from external damage and long-term stable operation is a crucial task for the power sector. With urban construction, renovation, or expansion, ground excavation is frequently necessary. However, construction teams often lack access to the latest information on underground pipelines and cannot accurately determine the location and depth of underground cables. This leads to indiscriminate excavation and various accidents, particularly the severing of underground cables, which can cause power outages and even serious incidents involving casualties. This not only results in significant losses for power companies but also causes considerable inconvenience to residents, with a severe social impact.

[0003] In addition, many existing overhead power lines in cities have been converted to underground cables through engineering construction and renovation, and many cable inspection wells have been added. Some communication optical cables have also been moved from overhead to underground via cable tunnels. However, in actual operation, some safety hazards have been found in these cable inspection wells. With the continuous upgrading of urban construction, frequent road excavation for rail transit and municipal engineering projects has caused numerous accidents involving external damage to cable tunnels and the severing of 10kV cables, resulting in power outages for many users due to these serious incidents. Currently, to ensure the safe and reliable operation of underground cables, the operation and management departments mainly rely on manual inspections. However, in areas with frequent anomalies, even with increased personnel patrols, the operation and maintenance management departments cannot conduct real-time inspections, and cannot provide early warnings or efficient and rapid responses to anomalies. Traditional manual inspections and simple information-based monitoring can no longer meet the requirements for lean management of distribution network cables. Summary of the Invention

[0004] Therefore, the purpose of this invention is to provide a panoramic management and control system for cable channels based on multi-dimensional information perception, which realizes multi-dimensional real-time monitoring of cable and channel resources, self-sensing of status, and other functions, optimizes the traditional operation and maintenance management model that is mainly based on human input, reduces the burden on grassroots teams, and improves the intelligent management level of distribution network cables.

[0005] To achieve the above-mentioned objectives, this invention provides a panoramic control system for cable channels based on multi-dimensional information perception. The system includes a monitoring client, a cloud platform, and front-end sensing devices. The monitoring client and the front-end sensing devices are communicatively connected to the cloud platform. The front-end sensing devices are used to monitor the cable channel from multiple dimensions, collect multi-dimensional sensing data, and send it to the cloud platform. The cloud platform is used to aggregate the multi-dimensional sensing data uploaded by the front-end sensing devices, construct a DIKW map based on the multi-dimensional sensing data, and analyze abnormal conditions in the cable channel based on the DIKW map. The monitoring client is used to obtain data from the cloud platform and realize three-dimensional visualization, fault alarm, and on-site location of the cable channel. The multi-dimensional sensing data includes geographic information data, cable channel vibration data, cable well operating environment data, and cable joint temperature data.

[0006] Furthermore, the front-end sensing device includes an intelligent robot deployed within the cable channel. The intelligent robot is used to collect geographical location information data of the cable channel and send the geographical location information data, along with multi-dimensional sensing data collected by other front-end sensing devices within the cable channel, to the cloud platform.

[0007] Furthermore, the front-end sensing device includes a fiber optic vibration monitoring host and a fiber optic vibration monitor. The fiber optic vibration monitor is connected to a spare core of the optical cable laid in the cable channel, and the fiber optic vibration monitoring host is communicatively connected to the fiber optic vibration detector and the cloud platform.

[0008] Furthermore, the front-end sensing device includes communication equipment and sensor equipment deployed in the cable well. The output end of the sensor equipment is connected to the communication equipment, and the communication equipment is connected to the cloud platform. The sensor equipment includes temperature and humidity sensors, smoke sensors, infrared sensors, photosensors, harmful gas sensors, and cable joint temperature sensors.

[0009] Furthermore, the cloud platform includes:

[0010] The typification module is used to typify the received multi-dimensional perceptual data and generate corresponding type resources, which include data resources, information resources and knowledge resources;

[0011] The conversion module is used to convert type resources into the same mode or across modes to obtain new type resources about the operation of the cable channel;

[0012] The graph drawing module is used to periodically redraw the DIKW graph based on updated type resources. The DIKW graph includes a data graph, an information graph, and a knowledge graph.

[0013] The anomaly monitoring module is used to traverse the DIKW map, find the type of resources that reflect the operating status of the cable channel, and analyze whether there are any anomalies in the cable channel based on the type of resources found.

[0014] Furthermore, the cloud platform also includes:

[0015] The conflict determination module is used to determine whether the cable channel operation status reflected by the found type of resources conflicts when the anomaly monitoring module finds multiple types of resources reflecting the cable channel operation status.

[0016] The calculation module is used to calculate the computational cost required to convert each type of resource found into information resources reflecting the operation status of the cable channel when the conflict detection submodule determines that a conflict exists. The conflicting types of resources are divided into several sets. The types of resources in each set do not reflect the cable channel operation status. The total computational cost of the types of resources in each set is calculated as the total computational cost of the set. The set priority is determined based on the importance of the cable channel operation status reflected by the types of resources in each set and the total computational cost of the set.

[0017] The exception handling module is used to delete other sets that conflict with the highest priority set, and to process the cable channel operation status represented by the type resources in the highest priority set.

[0018] Furthermore, the cloud platform also includes:

[0019] The marking and coding module is used to encode and mark the cable channel based on multi-dimensional sensing data and the cable channel operation status, and to establish a cable status information database.

[0020] The modeling module is used to overlay cable status information database data onto a 3D city model to create a visual model of underground cable channels based on a 3D city.

[0021] The report statistics module is used to generate reports recording the historical operation of cable channels based on multi-dimensional perception data;

[0022] The visualization module is used to visualize real-time operation information of underground cables in the monitoring area and historical operation records of cable channels on the monitoring client, and to generate voice warnings and audible and visual alarms for various abnormal situations.

[0023] Compared with the prior art, the beneficial effects of the present invention are:

[0024] This invention provides a panoramic management and control system for cable channels based on multi-dimensional information perception. The system monitors cable channels from multiple dimensions through front-end sensing devices, collects multi-dimensional sensing data, and sends it to a cloud platform. The cloud platform constructs a DIKW map based on the multi-dimensional sensing data and analyzes abnormal situations in the cable channels based on the DIKW map. The cloud platform realizes three-dimensional visualization of the multi-dimensional sensing information of the cable channels through a monitoring client. This invention achieves proactive early warning for cable channel safety monitoring by integrating multi-dimensional sensing information, saving the cost of manual inspection, reducing the number of households experiencing power outages due to external cable damage, thereby improving social benefits and power grid operation safety. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only preferred embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a schematic diagram of the overall structure of a panoramic control system for cable channels based on multi-dimensional information perception, provided in an embodiment of the present invention.

[0027] Figure 2 This is a schematic diagram of the cloud platform functional modules provided in an embodiment of the present invention.

[0028] In the diagram, 1 is the monitoring client, 2 is the cloud platform, 201 is the typification module, 202 is the conversion module, 203 is the graph drawing module, 204 is the anomaly monitoring module, 205 is the conflict judgment module, 206 is the calculation module, 207 is the anomaly handling module, 208 is the tagging and encoding module, 209 is the modeling module, 210 is the report statistics module, 211 is the visualization module, 3 is the front-end sensing device, 301 is the intelligent robot, 302 is the fiber optic vibration monitoring host, 303 is the fiber optic vibration detector, 304 is the communication equipment, and 305 is the sensor device. Detailed Implementation

[0029] The principles and features of the present invention are described below with reference to the accompanying drawings. The listed embodiments are only used to explain the present invention and are not intended to limit the scope of the present invention.

[0030] Reference Figure 1 This embodiment provides a panoramic control system for cable channels based on multi-dimensional information perception. The system includes a monitoring client 1, a cloud platform 2, and front-end sensing devices 3. The monitoring client 1 and the front-end sensing devices 3 are communicatively connected to the cloud platform 2.

[0031] The front-end sensing device 3 monitors the cable channel from multiple dimensions, collecting multi-dimensional sensing data and sending it to the cloud platform. The cloud platform 2 aggregates the multi-dimensional sensing data uploaded by multiple front-end sensing devices, constructs a DIKW map based on the multi-dimensional sensing data, and analyzes cable channel anomalies based on the DIKW map. The monitoring client 1 obtains data from the cloud platform 2 to achieve 3D visualization of the cable channel, fault alarms, and on-site location. The multi-dimensional sensing data includes geographic information data, cable channel vibration data, cable well operating environment data, and cable joint temperature data.

[0032] In this embodiment, the monitoring client 1 includes a computer, a smart mobile terminal, etc.

[0033] The front-end sensing device 3 includes an intelligent robot 301 deployed in the cable channel. The intelligent robot 301 is used to collect the geographical location information data of the cable channel in which it is located, and sends the geographical location information data together with the multi-dimensional sensing data collected by other front-end sensing devices in the cable channel to the cloud platform so that the cloud platform 2 can encode and mark different cable channels in the future.

[0034] The front-end sensing equipment also includes a fiber optic vibration monitoring host 302 and a fiber optic vibration monitor 303. The fiber optic vibration monitor 303 is connected to a spare core of the optical cable laid in the cable channel, and the fiber optic vibration monitoring host 302 is communicatively connected to both the fiber optic vibration monitor 303 and the cloud platform 2. This embodiment uses a fiber optic sensor with a Mach-Zehnder interferometric structure. Noise and other useless information in the acquired raw signal data are filtered out, useful information is extracted, and the dimensionality of the raw signal is reduced. Simultaneously, feature vectors of the signal are extracted from the preprocessed data, transforming the complex time-domain / frequency-domain signal into signal features easily accepted and recognized by the classifier. By monitoring and acquiring vibration signals in the sensing optical cable of an 80km ring network and a 40km straight line, and based on the fiber optic sensing and transmission of external changes, modulation and demodulation of external changes are achieved using technologies such as photoelectric detection, weak signal detection, and digital signal processing. Laser light emitted from a light source enters an optical fiber. When various physical quantities such as temperature, humidity, vibration, strain, gas, and pressure change on the fiber, the characteristic parameters of the incident light (e.g., light intensity, wavelength, phase, and polarization state) will change. The reflected or backscattered light is transmitted along the opposite direction of the incident light to the photoelectric detection and demodulation system, which ultimately calculates and inverts the changes in each physical quantity. An optical fiber vibration monitoring host 302 is deployed in a power distribution substation. It uses the spare core of the optical cable laid in the cable tunnel to monitor and collect data on events threatening cable safety, such as excavation or piling, near or above the cable duct. The fiber birefringence effect is used to detect the non-destructive bending location of the optical cable. The device collects optical signals and establishes a breakpoint signal model. Maintenance personnel only need to slightly bend the optical cable at the test point, and the instrument can provide the distance and direction between the fault point and the test point, thus guiding the maintenance personnel to the fault point. It enables real-time and rapid tracking and location of communication optical cable routes and fault locations with a positioning accuracy of less than 5m. It uses adaptive computing to perform deep learning to achieve artificial intelligence early warning and location, solving the pain point that OTDR can only intelligently measure the distance of the optical fiber to the fault point, but cannot guide maintenance personnel to find the fault point.

[0035] The front-end sensing equipment also includes communication equipment 304 and sensor equipment 305 deployed within the cable well. The output of sensor equipment 305 is connected to communication equipment 304, and communication equipment 304 is communicatively connected to cloud platform 2. Sensor equipment 305 includes temperature and humidity sensors, smoke sensors, infrared sensors, photosensors, hazardous gas sensors, and cable joint temperature sensors. Sensor equipment 305 is mainly used for online monitoring and reporting of abnormal conditions regarding the pressure and displacement of the cable well cover, the concentration of photosensors and toxic gases underground, and the temperature of intermediate joints. Data collected by sensor equipment 305 is uploaded to cloud platform 2 via communication equipment 304. Communication equipment 304 includes an NB-IoT module and an NB-IoT base station. The NB-IoT module sends data collected by each sensor device 305 to the NB-IoT base station, and the NB-IoT base station sends the aggregated data to cloud platform 2 for further processing.

[0036] Reference Figure 2 The cloud platform 2 includes a typification module 201, a transformation module 202, a map drawing module 203, and an anomaly monitoring module 204.

[0037] The typification module 201 is used to typify the received multi-dimensional perception data and generate corresponding type resources, which include data resources, information resources and knowledge resources.

[0038] The graph drawing module 203 is used to periodically redraw the DIKW graph based on updated type resources. The DIKW graph includes a data graph, an information graph, and a knowledge graph. The data graph is composed of data resources, the information graph is composed of information resources, and the knowledge graph is composed of knowledge resources. The time interval for redrawing the DIKW graph can be set according to actual needs.

[0039] The anomaly monitoring module 204 is used to traverse the DIKW map, search for type resources that reflect the operating status of the cable channel, and analyze whether there are any anomalies in the cable channel based on the searched type resources. The type resources reflecting the operating status of the cable channel are type resources whose information about the cable channel's operating status can be obtained through same-modal conversion or cross-modal conversion. Same-modal conversion involves conversion between type resources of the same category, and cross-modal conversion involves conversion between type resources of different categories.

[0040] Based on this, cloud platform 2 also includes a conflict judgment module 205, a calculation module 206, and an exception handling module 207.

[0041] The conflict determination module 205 is used to determine whether the cable channel operation status reflected by the found type of resources conflicts when the anomaly monitoring module finds multiple types of resources. The anomaly knowledge database stores relevant knowledge about various anomalies of the cable channel, recording which anomalies conflict with each other, i.e., are unlikely to occur simultaneously.

[0042] The calculation module 206 is used to calculate the computational cost required to convert each type of resource into information resources reflecting the cable channel operation status when the conflict detection module 205 determines that conflicting type resources exist. Conflicting type resources are divided into several sets. Type resources within a set do not conflict with each other regarding cable channel operation status, while type resources in different sets do conflict. The sum of the computational costs of type resources within each set is calculated as the total computational cost of the set. The set priority is determined based on the importance of the cable channel operation status reflected by the type resources within the set and the total computational cost of the set. The higher the importance of the cable channel operation status, the higher the corresponding set priority; the lower the total computational cost of the set, the higher the set priority.

[0043] The exception handling module 207 is used to delete other sets that conflict with the set with the highest priority, and to process the cable channel operation status reflected by the type resources in the set with the highest priority.

[0044] Meanwhile, the cloud platform 2 also includes a tagging and encoding module 208, a modeling module 209, a report statistics module 210, and a visualization module 211.

[0045] The marking and coding module 208 is used to encode and mark the cable channel based on multi-dimensional sensing data and the cable channel operation status, and to establish a cable status information database.

[0046] Modeling module 209 is used to overlay cable status information database data onto a 3D city model to establish a visualization model of underground cable channels based on a 3D city.

[0047] The report statistics module 210 is used to generate historical operation records of cable channels based on multi-dimensional perception data.

[0048] The visualization module 211 is used to visualize real-time operating information of underground cables in the monitoring area and historical operating records of cable channels on the monitoring client 1. It generates voice warnings and audible and visual alarms for various abnormal situations. Maintenance personnel can view various real-time operating information of the cable channels through the monitoring client 1, and when abnormal situations occur, they can view the location of the cable channels with abnormalities through the monitoring client 1 and promptly investigate the abnormalities.

[0049] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A panoramic control system for cable channels based on multi-dimensional information perception, characterized in that, The system includes a monitoring client, a cloud platform, and front-end sensing devices. The monitoring client and front-end sensing devices are communicatively connected to the cloud platform. The front-end sensing devices monitor the cable channel from multiple dimensions, collect multi-dimensional sensing data, and send it to the cloud platform. The cloud platform aggregates the multi-dimensional sensing data uploaded by the front-end sensing devices, constructs a DIKW map based on the multi-dimensional sensing data, and analyzes cable channel anomalies based on the DIKW map. The monitoring client obtains data from the cloud platform and enables 3D visualization of the cable channel, fault alarms, and on-site location. The multi-dimensional sensing data includes geographic information data, cable channel vibration data, cable well operating environment data, and cable joint temperature data. The cloud platform includes: The typification module is used to typify the received multi-dimensional perceptual data and generate corresponding type resources, which include data resources, information resources and knowledge resources; The conversion module is used to convert type resources into the same mode or across modes to obtain new type resources about the operation of the cable channel; The graph drawing module is used to periodically redraw the DIKW graph based on updated type resources. The DIKW graph includes a data graph, an information graph, and a knowledge graph. The anomaly monitoring module is used to traverse the DIKW map, find the type of resources that reflect the operating status of the cable channel, and analyze whether there are any anomalies in the cable channel based on the type of resources found. The conflict determination module is used to determine whether the cable channel operation status reflected by the found type of resources conflicts when the anomaly monitoring module finds multiple types of resources reflecting the cable channel operation status. The calculation module is used to calculate the computational cost required to convert each type of resource found into information resources reflecting the operation status of the cable channel when the conflict judgment module determines that there is a conflict. The conflicting types of resources are divided into several sets. The types of resources in each set do not conflict with the cable channel operation status they reflect. The total computational cost of the types of resources in each set is calculated as the total computational cost of the set. The set priority is determined based on the importance of the cable channel operation status reflected by the types of resources in each set and the total computational cost of the set. The exception handling module is used to delete other sets that conflict with the highest priority set, and to process the cable channel operation status represented by the type resources in the highest priority set.

2. The panoramic control system for cable channels based on multi-dimensional information perception according to claim 1, characterized in that, The front-end sensing device includes an intelligent robot deployed in the cable channel. The intelligent robot is used to collect geographical location information data of the cable channel and send the geographical location information data, along with multi-dimensional sensing data collected by other front-end sensing devices in the cable channel, to the cloud platform.

3. The panoramic control system for cable channels based on multi-dimensional information perception according to claim 1, characterized in that, The front-end sensing device includes a fiber optic vibration monitoring host and a fiber optic vibration monitor. The fiber optic vibration monitor is connected to a spare core of the optical cable laid in the cable channel. The fiber optic vibration monitoring host is connected to the fiber optic vibration monitor and the cloud platform respectively.

4. The panoramic control system for cable channels based on multi-dimensional information perception according to claim 1, characterized in that, The front-end sensing device includes communication equipment and sensor equipment deployed in the cable well. The output end of the sensor equipment is connected to the communication equipment, and the communication equipment is connected to the cloud platform. The sensor equipment includes temperature and humidity sensors, smoke sensors, infrared sensors, photosensors, harmful gas sensors, and cable joint temperature sensors.

5. A panoramic control system for cable channels based on multi-dimensional information perception according to claim 1, characterized in that, The cloud platform also includes: The marking and coding module is used to encode and mark the cable channel based on multi-dimensional sensing data and the cable channel operation status, and to establish a cable status information database. The modeling module is used to overlay cable status information database data onto a 3D city model to create a visual model of underground cable channels based on a 3D city. The report statistics module is used to generate reports recording the historical operation of cable channels based on multi-dimensional perception data; The visualization module is used to visualize real-time operation information of underground cables in the monitoring area and historical operation records of cable channels on the monitoring client, and to generate voice warnings and audible and visual alarms for various abnormal situations.

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