An ultra-low power consumption cable tunnel sheath circulating current online monitoring device

Abstract

The present invention discloses an ultra-low power consumption cable tunnel sheath circulation online monitoring device, which relates to the technical field related to power distribution automation. The device includes: a main processor, a LORA wireless communication module, a circulation acquisition module, a Bluetooth module, a power module and a battery module. The LORA wireless communication module is used to receive a wake-up signal sent by a master station; the circulation acquisition module is used to collect ground circulation data, sheath circulation data and cable running current data; the main processor is used to perform impact effect correlation analysis according to a ternary dynamic topology impact model; the Bluetooth module is used to debug the module function; the power module is used to provide a working power supply; and the battery module is used to supply power. The device solves the technical problems of inaccurate data in the existing cable sheath circulation monitoring, difficulty in timely discovering and handling potential cable faults, leading to unstable power supply in the cable tunnel and inconvenient city power supply, and achieves the technical effect of improving the stability of power supply in the cable tunnel and the convenience of power supply.

Description

Technical Field

[0001] The present application relates to the technical field related to power distribution automation, and in particular to an ultra-low power consumption cable tunnel sheath circulating current online monitoring device. Background Art

[0002] With the rapid development of power construction and the continuous expansion of the scale of power grids, cable tunnels, as important transmission channels, undertake the task of transmitting high-voltage power. In order to ensure the normal power supply and the needs of social development in my country, it is necessary to strengthen the inspection of high-voltage cables that carry power transportation, and improve the power supply reliability by testing whether the cables are qualified. Cables are the "blood vessels" of power transmission. Under high-load operating conditions, the sheath and grounding loop problems of cable tunnels have gradually attracted widespread attention. They are an indispensable and important part of the modern power system. Their health is directly related to the stability and safety of the entire power system. Sheath loop current refers to the induced current flowing through the cable sheath, while grounding loop current refers to the current flowing in the cable grounding system. These loops not only affect the operating efficiency of the cable, but may also have adverse effects on the cable sheath, grounding system and operating environment, and may even cause problems such as cable overheating and sheath aging, increasing the maintenance cost and operating risk of cable tunnels. Real-time monitoring of the operating status of the cable is of great significance for preventing faults and ensuring power supply reliability. However, traditional cable sheath loop current monitoring usually adopts manual regular detection or wired transmission methods, mainly by installing current transformers or sensors at the cable grounding end to measure the loop current in the sheath. There are many limitations, such as inaccurate data and delayed response. These problems make it difficult for power companies to promptly discover and deal with potential cable faults, thereby increasing the risk of power system operation, especially in high-voltage and high-load urban cable tunnel applications, which are difficult to meet the needs of efficient, safe and real-time monitoring.

[0003] Therefore, at the current stage, the relevant technologies for monitoring the circulating current of the cable tunnel sheath have technical problems such as inaccurate data and difficulty in timely discovering and handling potential cable faults, which leads to unstable power supply in the cable tunnel and inconvenient mains power supply. Summary of the invention

[0004] The present application provides an ultra-low power consumption cable tunnel sheath circulating current online monitoring device, which solves the technical problems of inaccurate data in the existing cable sheath circulating current monitoring, difficulty in timely detection and treatment of potential cable fault hazards, resulting in unstable power supply to the cable tunnel and inconvenient mains power supply, thereby achieving the technical effect of improving the stability of power supply and convenience of power supply to the cable tunnel.

[0005] The present application provides an ultra-low power consumption cable tunnel sheath circulation online monitoring device, the device comprising a main processor, a LORA wireless communication module, a circulation acquisition module, a Bluetooth module, a power module and a battery module: the LORA wireless communication module is used to receive a wake-up signal sent by a main station, and control the awakening of the circulation acquisition module and the main processor according to the wake-up signal; the circulation acquisition module is used to collect ground circulation data, sheath circulation data and cable running current data for a first cable in a preset cable tunnel, and send them to the main processor; the main processor is used to control the ground circulation data through a pre-built ternary dynamic topology impact model , sheath circulating current data and cable running current data are analyzed for impact effects correlation, abnormality judgment is performed according to the impact effect correlation result, and the abnormality judgment result is generated and sent to the main station through the LORA wireless communication module; the Bluetooth module is used to connect the main processor to debug the module functions of the LORA wireless communication module and the circulating current acquisition module; the power module is used to provide working power to the main processor, the LORA wireless communication module, the circulating current acquisition module and the Bluetooth module; the battery module is connected to supply power to the main processor, the LORA wireless communication module and the circulating current acquisition module.

[0006] In a possible implementation, the ultra-low power cable tunnel sheath circulation online monitoring device also performs the following processing: it also includes a data preprocessing module, and the steps of constructing the ternary dynamic topology influence model include: obtaining the cable sheath structure information and the cable load information of the first cable; through the data preprocessing module, taking the cable sheath structure information and the cable load information as constraints, performing historical sheath circulation monitoring data retrieval to generate a normal state ternary circulation data set and multiple abnormal state ternary circulation data sets under multiple abnormal states; taking the normal state ternary circulation data set as a reference, based on the multiple abnormal state ternary circulation data sets, performing abnormal influence effect analysis between the sheath circulation, cable running current and grounding circulation, and generating a ternary topology influence network; and constructing the ternary dynamic topology influence model with the ternary topology influence network.

[0007] In a possible implementation, the normal state ternary circulation current dataset is used as a reference, and based on the multiple abnormal state ternary circulation current datasets, an abnormal influence effect analysis between the sheath circulation current, the cable running current and the grounding circulation current is performed, and the following processing is also performed: the multiple abnormal state ternary circulation current datasets are traversed, and the abnormal effects of the sheath circulation current, the cable running current and the grounding circulation are identified with the normal state ternary circulation current dataset to generate a multi-layer abnormal effect vector; a central ternary topological network is established based on the normal state ternary circulation current dataset; based on the central ternary topological network, abnormal effect association is performed according to the multi-layer abnormal effect vector, and a multi-layer abnormal effect association topology relative to the central ternary topological network is established; the ternary topological influence network is established based on the central ternary topological network and the multi-layer abnormal effect association topology.

[0008] In a possible implementation, the multiple abnormal state ternary circulation current data sets are traversed, and the abnormal effects of sheath circulation current, cable running current and grounding circulation current are identified with the normal state ternary circulation current data set to generate a multi-layer abnormal effect vector, and the following processing is also performed: a first abnormal state ternary circulation current data set is extracted from the multiple abnormal state ternary circulation current data sets; the relative relationship of sheath circulation current, cable running current and grounding circulation is identified for the first abnormal state ternary circulation current data set to generate a first relative relationship; the relative relationship of sheath circulation current, cable running current and grounding circulation is identified for the normal state ternary circulation current data set to generate a reference relative relationship; the difference between the first relative relationship and the reference relative relationship is compared to generate a first type of abnormal effect vector; the difference of sheath circulation current, cable running current and grounding circulation is calculated for the first abnormal state ternary circulation current data set and the normal state ternary circulation current data set respectively to generate a second type of abnormal effect vector; a first layer of abnormal effect vector is generated with the first type of abnormal effect vector and the second type of abnormal effect vector, and is added to the multi-layer abnormal effect vector.

[0009] In a possible implementation, based on the central ternary topology network, abnormal effect association is performed according to the multi-layer abnormal effect vector, and a multi-layer abnormal effect associated topology relative to the central ternary topology network is established, and the following processing is also performed: the central ternary topology network includes sheath circulation nodes, cable running current nodes and grounding circulation nodes; the first type of abnormal effect vectors in the multi-layer abnormal effect vectors are associated with the central ternary topology network for overall network abnormal effect to establish an initial multi-layer topology structure; the second type of abnormal effect vectors in the multi-layer abnormal effect vectors are associated with the sheath circulation nodes, cable running current nodes and grounding circulation nodes of the initial multi-layer topology structure for topological node abnormal effect association connection to generate the multi-layer abnormal effect associated topology.

[0010] In a possible implementation, the ultra-low power consumption cable tunnel sheath circulating current online monitoring device also performs the following processing: the power supply module includes a buck-boost integrated chip, and the buck-boost integrated chip is connected to the battery module; the output voltage of the battery module is adjusted to the working voltage by the buck-boost integrated chip, and then power is supplied to the main processor, the LORA wireless communication module, the circulating current acquisition module and the Bluetooth module.

[0011] In a possible implementation, the ultra-low power consumption cable tunnel sheath circulating current online monitoring device also performs the following processing: the LORA wireless communication module includes a sleep state and a wake-up state; wherein, when the LORA wireless communication module is in the sleep state, it has a low-power consumption monitoring function, and enters the wake-up state when it monitors the wake-up signal sent by the master station.

[0012] In a possible implementation, the Bluetooth module is used to connect to the main processor, perform module function debugging on the LORA wireless communication module and the circulation acquisition module, and also perform the following processing: based on the Bluetooth module, connect to the main processor through a mobile terminal, modify the parameters of the LORA wireless communication module and the circulation acquisition module, perform equipment testing, and receive test data and return it to the mobile terminal for equipment maintenance and debugging.

[0013] In a possible implementation, the ultra-low power consumption cable tunnel sheath circulating current online monitoring device further performs the following processing: the circulating current acquisition module includes an electric energy metering chip located inside the first cable, the first cable sheath and the first cable grounding end.

[0014] In a possible implementation, the main processor is used to perform an impact effect correlation analysis on the grounding loop current data, the sheath circulation current data and the cable running current data through a pre-built ternary dynamic topology impact model, perform abnormality judgment based on the impact effect correlation results, generate an abnormality judgment result, and also perform the following processing: input the grounding loop current data, the sheath circulation current data and the cable running current data into the ternary dynamic topology impact model, perform abnormal effect correlation topology matching, and generate the impact effect correlation result; perform abnormal state identification based on the impact effect correlation result, and generate the abnormal judgment result.

[0015] The ultra-low power cable tunnel sheath circulation online monitoring device proposed in this application includes a main processor, a LORA wireless communication module, a circulation acquisition module, a Bluetooth module, a power module and a battery module. The LORA wireless communication module is used to receive the wake-up signal sent by the main station; the circulation acquisition module is used to collect ground circulation data, sheath circulation data and cable running current data; the main processor is used to perform impact effect correlation analysis on the ground circulation data, sheath circulation data and cable running current data according to the pre-built ternary dynamic topology impact model, and make abnormal judgments according to the impact effect correlation results, generate abnormal judgment results and send them to the main station through the LORA wireless communication module; the Bluetooth module is used to debug the module function; the power module is used to provide working power; the battery module is used to supply power. It solves the technical problems of inaccurate data in the existing cable sheath circulation monitoring, difficulty in timely discovering and handling potential cable faults, leading to unstable power supply in the cable tunnel and inconvenient city power supply, and achieves the technical effect of improving the stability of power supply in the cable tunnel and the convenience of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0017] Figure 1 A schematic diagram of the structure of an ultra-low power consumption cable tunnel sheath circulation online monitoring device provided in an embodiment of the present application;

[0018] Figure 2 A schematic diagram of the construction process of a ternary dynamic topology influence model pair in an ultra-low power cable tunnel sheath circulation online monitoring device provided in an embodiment of the present application.

[0019] Explanation of the accompanying drawings: main processor 1, LORA wireless communication module 2, circulating current acquisition module 3, Bluetooth module 4, power module 5, battery module 6. DETAILED DESCRIPTION

[0020] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0021] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0022] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0023] The embodiment of the present application provides an ultra-low power consumption cable tunnel sheath circulation online monitoring device, such as Figure 1 As shown, the device includes a main processor 1, a LORA wireless communication module 2, a circulating current acquisition module 3, a Bluetooth module 4, a power module 5 and a battery module 6:

[0024] The LORA wireless communication module 2 is used to receive a wake-up signal sent by the master station, and control the awakening of the circulation acquisition module and the main processor according to the wake-up signal.

[0025] Preferably, the LORA wireless communication module adopts a high-power LORA module of 433MHz or 2.4GHz, and has a low-power sleep and keep listening function. It receives the wake-up signal sent by the master station and controls the wake-up process of the device according to the wake-up signal. Specifically, the LORA wireless communication module is a low-power, long-distance wireless communication module for communicating with the master station. The master station can send a wake-up signal to the LORA wireless communication module when it needs to collect circulation data, and notify the device to enter the working state; after receiving the wake-up signal sent by the master station, the LORA wireless communication module activates and wakes up the key parts of the device such as the circulation acquisition module and the main processor, wherein the circulation acquisition module is used to collect data on the sheath circulation, ground circulation and running current in the cable tunnel, and the main processor is responsible for analyzing, processing and judging the collected data. Through the wake-up mechanism, the device can maintain low power consumption or sleep state when data collection is not required, and each module will be awakened only when receiving the instruction of the master station, which greatly reduces the power consumption of the device, realizes the conditional awakening of the circulation acquisition module and the main processor, ensures that the device switches intelligently between low power consumption and normal operation mode, and effectively extends the battery life of the device without frequent battery replacement.

[0026] The circulating current acquisition module 3 is used to collect ground circulating current data, sheath circulating current data and cable running current data of the first cable in the preset cable tunnel, and send them to the main processor.

[0027] Preferably, the circulating current acquisition module is connected to the main processor, including five-channel current data acquisition, using the professional electric energy metering chip BL0910, with 11 internal integrated high-precision ADCs, which can simultaneously measure 11 current or voltage signals, and can measure current, voltage effective value, active power and other parameters. It is connected to the main processor through UART and outputs the collected data to the main processor. Its main function is to monitor and collect relevant current data of the first cable in the cable tunnel, including grounding circulation data, sheath circulation data and cable running current data, and then send these data to the main processor for further processing and analysis. Specifically, the grounding circulation refers to the current flowing in the grounding system of the cable. Due to the shielding of the cable The existence of asymmetry in the layer or grounding loop will generate grounding loop current, leading to electromagnetic interference of the grounding system, grounding overheating and other problems; sheath circulation refers to the induced current flowing through the cable sheath. In high-voltage transmission cables, due to electromagnetic induction, the metal sheath of the cable will generate induced current. Excessive sheath circulation will cause the cable sheath to heat up, which may cause sheath damage and even reduce the service life of the cable; cable operating current refers to the current carrying capacity of the cable during normal operation, that is, the actual working current transmitted through the cable conductor. Monitoring the operating current data of the cable helps to understand the load of the cable and determine whether the cable is in a safe operating state. If the current is too high, it may indicate that the cable is overloaded and there is a potential risk of overheating and damage. After collecting the data of grounding loop current, sheath circulation current and cable operating current, the circulation acquisition module will send these data to the main processor, which will further analyze and process these data to determine whether the operating state of the cable is normal. If there are abnormal conditions in the data, correlation analysis will be performed to determine whether there are potential safety hazards or failure risks, thereby ensuring the safe and stable operation of the cable.

[0028] The main processor 1 is used to perform impact effect correlation analysis on the ground loop current data, sheath loop current data and cable running current data according to a pre-built ternary dynamic topology impact model, perform abnormality judgment according to the impact effect correlation result, generate the abnormality judgment result and send it to the main station through the LORA wireless communication module.

[0029] Preferably, the main processor uses a high-performance Arm® Cortex®-M4 The CPU chip with a 32-bit RISC core can operate at a frequency of up to 180MHz. It has multiple 12-bit ADCs, low-power RTCs, twelve general-purpose timers, USB interfaces, UART interfaces, and rich GPIO interfaces. It has rich on-chip peripherals and strong control processing capabilities. Its core function is to analyze the collected ground loop current data, sheath loop current data, and cable operating current data based on a pre-built ternary dynamic topology impact model to make abnormal judgments and generate abnormal results. Specifically, the ternary dynamic topology impact model aims to fully understand the dynamic impact of three key parameters in the cable system, namely, ground loop current, sheath loop current, and operating current, by analyzing the relationship between these factors. The ternary dynamic topology impact model establishes the correlation between these three current characteristics by analyzing historical data and actual operating data. When changes occur during the operation of the cable system, the model can evaluate whether there is an abnormal situation based on the change trend, amplitude, and correlation of the data. For example, when a current value is too high, it may cause changes in the other two current parameters. The model can pre-define the reasonable range and relationship of this change to help the main processor make judgments.

[0030] Preferably, the impact effect correlation analysis is to analyze whether there is an abnormal impact effect between the three data through a ternary dynamic topology impact model, that is, whether a change in one current will cause a change in other currents, and whether this change conforms to the normal mode. For example, if the operating current suddenly increases, the model will determine whether this sudden increase will cause a corresponding change in the sheath circulation or the ground circulation. If the correlation between the two deviates from the normal relationship (for example, the sheath circulation does not increase or decrease accordingly), it may indicate that the system is abnormal, helping the main processor to identify the abnormal relationship between the data, and helping to discover potential abnormal trends before a fault occurs, so as to issue an early warning; based on the results of the impact effect correlation analysis, the main processor can make an abnormal judgment. The abnormal judgment result includes the specific content and level of the abnormality, such as abnormal ground circulation, abnormal sheath circulation or overall system failure. The generated abnormal result usually includes the category of the abnormality, the possible cause, and the specific value of the current data. Finally, the abnormal information is sent to the main station through the LORA wireless communication module to ensure the stable transmission of abnormal data in a complex environment, and to ensure that efficient data transmission can still be achieved in environments such as cable tunnels, and timely response can be made.

[0031] The Bluetooth module 4 is used to connect to the main processor and perform module function debugging on the LORA wireless communication module and the circulation acquisition module.

[0032] Preferably, the Bluetooth module is a 2.4 GHz frequency band Bluetooth module, which is mainly used to connect the main processor, the LORA wireless communication module and the circulation acquisition module, and provide a convenient wireless debugging interface to debug and maintain the functions of each module. Specifically, the Bluetooth module is wirelessly connected to the main processor, the LORA wireless communication module and the circulation acquisition module to create a convenient debugging channel, allowing technicians to remotely access and control each module through mobile devices (such as mobile phones or tablets) and perform functional debugging on them. For example, technicians can view the operating status of the main processor, diagnose whether there are errors, and perform some test operations through the Bluetooth interface. It can also help technicians debug the parameter settings of the main processor. The Bluetooth module can be used to debug the functions of the circulating current acquisition module, such as checking whether the acquisition module can normally collect grounding circulation, sheath circulation and operating current data, and can also adjust the acquisition parameters of the circulating current acquisition module, such as sampling interval, sensitivity and data format. The Bluetooth module also supports the coordinated debugging of the entire system, including the coordinated work of the main processor, LORA wireless communication module and circulating current acquisition module.

[0033] The power module 5 is used to provide working power to the main processor, the LORA wireless communication module, the circulating current acquisition module and the Bluetooth module.

[0034] Preferably, the power module mainly includes a 3.6V19Ah disposable lithium thionyl chloride battery and a buck / boost module, wherein the battery has an ultra-low self-discharge rate of less than 1%; the buck / boost module adopts a chip with a super static power consumption of 75nA to ensure ultra-low power consumption operation of the device; the power module provides a stable and reliable power supply for the main processor LORA communication module, acquisition module, and Bluetooth module, meeting the special power supply requirements for online monitoring of cable tunnel sheath circulating current. When necessary, the power module can isolate different power supply lines to prevent the failure of a certain module from affecting the power supply of other modules, thereby ensuring the power supply independence between modules.

[0035] The battery module 6 is used to supply power to the main processor, the LORA wireless communication module and the circulating current acquisition module.

[0036] Preferably, the battery module is used to provide power support for the main processor, the LORA wireless communication module and the circulating current acquisition module, so that the device can continue to work without an external power supply, which is particularly suitable for special environments such as cable tunnels. Specifically, the battery module ensures that the main processor can maintain a minimum working power supply when there is no external power supply, thereby supporting the continuous operation of the monitoring device; the battery module provides power for the LORA module, so that it can continuously monitor the wake-up signal with extremely low energy consumption in standby mode, thereby achieving ultra-low power consumption operation; the power provided by the battery module ensures that the circulating current acquisition module can continue to collect data without an external power supply, especially at critical monitoring moments, battery power can ensure the continuity of collection and the reliability of data. The battery module supports low-power management of the device, enabling the device to dynamically adjust energy consumption according to the actual operating status, thereby extending the battery life, and achieving convenient installation and reliable operation in special environments such as cable tunnels.

[0037] In possible implementations, such as Figure 2 As shown, the ultra-low power cable tunnel sheath circulation online monitoring device also includes a data preprocessing module, and the steps of constructing the ternary dynamic topology influence model include: obtaining the cable sheath structure information and the cable load information of the first cable; through the data preprocessing module, taking the cable sheath structure information and the cable load information as constraints, performing historical sheath circulation monitoring data retrieval to generate a normal state ternary circulation data set and multiple abnormal state ternary circulation data sets under multiple abnormal states; taking the normal state ternary circulation data set as a reference, based on the multiple abnormal state ternary circulation data sets, performing abnormal influence effect analysis between the sheath circulation, cable running current and grounding circulation, and generating a ternary topology influence network; and constructing the ternary dynamic topology influence model with the ternary topology influence network.

[0038] Preferably, the construction of the ternary dynamic topology impact model mainly collects and processes the structure and load information of the cable, combines the historical monitoring data under normal and abnormal conditions, analyzes the dynamic impact relationship between the three currents (sheath circulation current, cable operating current and grounding circulation current), and is used to monitor and judge abnormalities. Specifically, the cable sheath structure information includes the cable sheath material, sheath thickness, specific structure of the shielding layer and grounding configuration, etc. The cable load information refers to the operating load of the cable, including the current carrying capacity of the cable under different working conditions (such as peak load, current fluctuation, etc.), wherein the cable is limited to transporting electric energy, is not directly connected to the user end, and its load is basically stable; the data preprocessing module is used to use the cable sheath structure information and load information as constraints, screen and process historical monitoring data, and through the preprocessing module, it is possible to efficiently extract data sets similar to the current cable status from a large amount of historical data, including the cable in normal status. The sheath circulation current, cable running current and grounding circulation current values ​​under normal and abnormal conditions, as well as the ternary circulation current data under various abnormal conditions, are collected. The normal state ternary circulation current data set is then used as the benchmark data for model construction. Based on the abnormal state ternary circulation current data set, the abnormal influence effect analysis between the sheath circulation current, cable running current and grounding circulation current is performed. That is, by comparing the ternary data under normal and abnormal conditions, the correlation between the sheath circulation current, cable running current and grounding circulation current is analyzed, and the influence pattern of abnormal working conditions on the circulation current characteristics is identified. For example, when a fault occurs in the grounding system, the grounding circulation may increase significantly or fluctuate irregularly. Through these data correlation analysis, a ternary topological influence network is constructed, which shows the mutual influence relationship between the three current characteristics under different conditions. Finally, through the ternary topological influence network, a ternary dynamic topological influence model is established to describe the dynamic correlation between the sheath circulation current, cable running current and grounding circulation current under normal and various abnormal working conditions.

[0039] In a possible implementation, taking the normal state ternary circulation data set as a reference, performing abnormal influence effect analysis between sheath circulation, cable running current and grounding circulation based on the multiple abnormal state ternary circulation data sets includes: traversing the multiple abnormal state ternary circulation data sets, identifying abnormal effects of sheath circulation, cable running current and grounding circulation with the normal state ternary circulation data set, and generating a multi-layer abnormal effect vector; establishing a central ternary topological network based on the normal state ternary circulation data set; based on the central ternary topological network, performing abnormal effect association according to the multi-layer abnormal effect vector, and establishing a multi-layer abnormal effect association topology relative to the central ternary topological network; establishing the ternary topological influence network based on the central ternary topological network and the multi-layer abnormal effect association topology.

[0040] Preferably, each abnormal state ternary circulation data set is traversed, and the abnormal state ternary circulation data set is compared with the normal state ternary circulation data set to identify the deviation mode or abnormal characteristics of the sheath circulation current, cable running current and grounding circulation current in each abnormal situation. For example, under a certain abnormal state, the sheath circulation current and the grounding circulation current may increase significantly, while the cable running current changes little. The deviation characteristics under each abnormal state identified are represented as abnormal effect vectors, each vector containing specific deviation information of the sheath circulation current, cable running current and grounding circulation current under the abnormal state; then, based on the normal state ternary circulation data set, a central ternary topological network is established to describe the sheath circulation current, cable running current and grounding circulation current. The correlation between the operating current and the ground loop current under normal conditions; then compare each layer of abnormal effect vector with the central ternary topology network, analyze the degree and mode of the three current characteristics deviating from the normal network structure under different abnormal conditions, that is, establish the impact correlation of each abnormal state on the normal topology structure, and then generate a multi-layer abnormal effect correlation topology, each layer of correlation topology represents the impact characteristics of a specific abnormal state relative to the central topology network; finally, by combining the central ternary topology network in the normal state with the multi-layer abnormal effect correlation topology, a complete ternary topology influence network is constructed to reflect the dynamic correlation between the three current characteristics under normal and various abnormal conditions.

[0041] In a possible implementation, the multiple abnormal state ternary circulation current data sets are traversed, and the abnormal effects of sheath circulation current, cable running current and grounding circulation current are identified with the normal state ternary circulation current data set to generate a multi-layer abnormal effect vector, including: extracting a first abnormal state ternary circulation current data set from the multiple abnormal state ternary circulation current data sets; identifying the relative relationship of sheath circulation current, cable running current and grounding circulation current for the first abnormal state ternary circulation current data set to generate a first relative relationship; identifying the relative relationship of sheath circulation current, cable running current and grounding circulation current for the normal state ternary circulation current data set to generate a reference relative relationship; comparing the difference between the first relative relationship and the reference relative relationship to generate a first type of abnormal effect vector; calculating the difference of sheath circulation current, cable running current and grounding circulation current for the first abnormal state ternary circulation current data set and the normal state ternary circulation current data set respectively to generate a second type of abnormal effect vector; generating a first layer of abnormal effect vectors with the first type of abnormal effect vectors and the second type of abnormal effect vectors, and adding them to the multi-layer abnormal effect vectors.

[0042] Preferably, a first abnormal state ternary circulating current data set is randomly extracted from multiple abnormal state ternary circulating current data sets as the first abnormal state ternary circulating current data set, which includes monitoring data of sheath circulating current, cable running current and grounding circulating current, representing a certain abnormal working condition (such as overload, sheath damage or grounding fault). For the first abnormal state ternary circulating current data set, the relative relationship between the sheath circulating current, cable running current and grounding circulating current is analyzed, that is, the mutual influence mode or proportional relationship of the three currents under the abnormal state, such as current intensity ratio, phase difference, synchronization and other characteristics, to generate a first relative relationship, which represents the typical correlation mode between the three currents under the abnormal state; for the normal state ternary circulating current data set, the relative relationship between the sheath circulating current, cable running current and grounding circulating current is also analyzed to generate a benchmark relative relationship, which describes the three currents under normal working conditions. The stable relationship between the currents is used as a comparison standard, and then the first relative relationship is compared with the benchmark relative relationship to identify the difference between the two, which reflects the degree of deviation and characteristics of the current characteristics under the first abnormal state from the normal state, and is quantified as the first type of abnormal effect vector, which is used to describe the change characteristics of the relative relationship under the abnormal state. Then, the sheath circulating current, cable running current and grounding circulating current in the first abnormal state ternary circulating current data set and the normal state ternary circulating current data set are calculated item by item to generate the second type of abnormal effect vector, which describes the specific current deviation under the abnormal state; the first type of abnormal effect vector and the second type of abnormal effect vector are combined to generate the first layer of abnormal effect vector, which integrates the relative relationship deviation and absolute difference characteristics under the first abnormal state, and is added to the multi-layer abnormal effect vector to form a vector set.

[0043] In a possible implementation, based on the central ternary topology network, abnormal effect association is performed according to the multi-layer abnormal effect vector, and a multi-layer abnormal effect association topology relative to the central ternary topology network is established, including: the central ternary topology network includes a sheath circulation node, a cable running current node and a grounding circulation node; the first type of abnormal effect vector in the multi-layer abnormal effect vector is associated with the central ternary topology network for overall network abnormal effect to establish an initial multi-layer topology structure; the second type of abnormal effect vector in the multi-layer abnormal effect vector is associated with the sheath circulation node, the cable running current node and the grounding circulation node of the initial multi-layer topology structure for topological node abnormal effect association connection to generate the multi-layer abnormal effect association topology.

[0044] Preferably, the central ternary topology network includes three core nodes, a sheath circulation current node, a cable running current node and a grounding circulation current node, which respectively represent the three main currents in the cable system, describe the normal correlation relationship between the sheath circulation current, the cable running current and the grounding circulation current, and compare the overall relative relationship deviation under the abnormal state with the network structure under the normal state in the multi-layer abnormal effect vector. A type of abnormal effect vector (i.e., a vector describing the relative relationship deviation) is associated with the central ternary topology network, that is, the deviation characteristics between the three current characteristics under the abnormal state and the impact of this deviation on the overall network structure are identified, and a new topology layer is generated, called the initial multi-layer topology structure, which includes the sheath circulation current node, the cable running current node and the grounding circulation node under the abnormal state. The overall relative relationship changes between nodes constitute a preliminary abnormal effect network; the second type of abnormal effect vector describes the absolute deviation of the three currents under abnormal conditions (i.e., the specific numerical differences of sheath circulation current, cable running current and grounding circulation current), which is used to make more detailed associations with each node in the initial multi-layer topology structure, that is, each component of the second type of abnormal effect vector (difference between sheath circulation current, cable running current and grounding circulation current) is respectively connected to the corresponding nodes of the initial multi-layer topology structure (sheath circulation current node, cable running current node and grounding circulation current node), thereby generating a multi-layer abnormal effect association topology, that is, the performance of the absolute deviation of each node in the overall network, which reflects the overall relative relationship deviation characteristics under abnormal conditions, and also contains the absolute deviation information of each node.

[0045] In a possible implementation, the main processor is used to perform an impact effect correlation analysis on the grounding loop current data, the sheath circulation current data and the cable running current data through a pre-built ternary dynamic topology impact model, perform abnormality judgment based on the impact effect correlation results, and generate an abnormality judgment result, including: inputting the grounding loop current data, the sheath circulation current data and the cable running current data into the ternary dynamic topology impact model, performing abnormal effect correlation topology matching, and generating the impact effect correlation result; performing abnormal state identification based on the impact effect correlation result, and generating the abnormal judgment result.

[0046] Preferably, the ground loop current data, sheath loop current data and cable running current data are input into the ternary dynamic topology influence model to identify abnormal states. Specifically, the ternary dynamic topology influence model will match the current real-time data with the normal and abnormal state topological structures pre-constructed in the model, including overall topology matching, in which the relative relationship in the current data will be mapped to the central ternary topological network and the multi-layer abnormal effect associated topology in the model to detect whether there is a deviation from the overall structure; node matching, the model will also compare the absolute value of the current data with the abnormal effect vector of each node to identify the specific deviation of the sheath loop current, the cable running current and the ground loop current; identify the deviation of the current data from the normal state Characteristics, thereby generating impact effect association results, including the matching degree between the current state and the multi-layer abnormal effect topological structure in the model, describing the abnormal possibility and impact characteristics of the current state; then based on the impact effect association results, the abnormal situation of the current state is identified, that is, the association results are compared with each abnormal state to identify the abnormal mode that best matches the current state. For example, if the association results show that the grounding loop current data and the sheath loop current data are high, and the cable operating current is normal, the model may judge that the state is a grounding abnormality, and then generate abnormal judgment results, such as abnormality type (such as grounding fault, sheath damage, etc.), abnormality level (such as slight, severe), specific deviation value and possible affected area.

[0047] In a possible implementation, the power module includes a buck-boost integrated chip, and the buck-boost integrated chip is connected to the battery module; the output voltage of the battery module is adjusted to the operating voltage by the buck-boost integrated chip, and then power is supplied to the main processor, the LORA wireless communication module, the circulating current acquisition module and the Bluetooth module.

[0048] Preferably, the power module includes a buck-boost integrated chip, which is connected to the battery module and is used to adjust the voltage of the battery output to meet the operating voltage requirements of each module. Specifically, the buck-boost integrated chip can automatically adjust the input voltage according to load demand, raising or lowering it to the target voltage range, ensuring that no matter how the battery voltage level fluctuates, the output voltage can be stabilized at the set operating voltage to meet the normal working requirements of each module; the battery module provides raw power output, and its output voltage is directly transmitted to the buck-boost integrated chip, and the voltage is boosted or lowered according to demand, adjusted to the operating voltage and provided to the main processor, LORA wireless communication module, circulating current acquisition module and Bluetooth module, ensuring that each module can maintain stable operation under different battery power states, thereby realizing power consumption management and power efficiency optimization.

[0049] In a possible implementation, the LORA wireless communication module includes a sleep state and a wake-up state; wherein, when the LORA wireless communication module is in the sleep state, it has a low-power monitoring function, and enters the wake-up state when it monitors the wake-up signal sent by the master station.

[0050] Preferably, the LORA wireless communication module is designed with a sleep state and a wake-up state. By switching between these two states, the module can save power consumption while maintaining sensitivity to the wake-up signal. Specifically, in the sleep state, the energy consumption of the LORA wireless communication module is significantly reduced, and only the basic monitoring function (continuously detecting the wake-up signal of the master station) is retained to extend the battery life of the device. When the LORA module monitors the wake-up signal of the master station, it will automatically switch from the sleep state to the wake-up state. In the wake-up state, the module resumes normal power consumption and activates all communication and data transmission functions to establish a real-time connection with the master station and transmit data. The LORA module can further wake up other device modules, such as the main processor and the circulating current acquisition module.

[0051] In a possible implementation, the Bluetooth module is used to connect to the main processor and perform module function debugging on the LORA wireless communication module and the circulation acquisition module, including: based on the Bluetooth module, connecting to the main processor through a mobile terminal, modifying the parameters of the LORA wireless communication module and the circulation acquisition module, performing equipment testing, and receiving test data and returning it to the mobile terminal for equipment maintenance and debugging.

[0052] Preferably, based on the Bluetooth module, the main processor, LORA wireless communication module and circulating current acquisition module are connected through the mobile terminal, aiming to conveniently test and maintain the equipment wirelessly. Specifically, the Bluetooth module provides a wireless connection interface for the mobile terminal (such as smart phones, tablet computers) and the various core modules of the device (main processor, LORA wireless communication module, circulating current acquisition module). The mobile terminal can directly access each module in the device, view their working status, configuration parameters and collected data, and ensure that each module is in a normal state. For example, perform equipment testing and transmit the generated test data back to the mobile terminal through the Bluetooth module. The mobile terminal performs equipment maintenance and debugging based on the received test data, such as optimizing the antenna direction or adjusting the communication frequency, recalibrating sensor parameters or adjusting the sampling frequency, etc.

[0053] In a possible implementation, the circulating current acquisition module includes an electric energy metering chip located inside the first cable, on the first cable sheath, and at the first cable grounding end.

[0054] Preferably, the circulating current acquisition module includes multiple electric energy metering chips, which are respectively located inside the first cable, in the first cable sheath and at the first cable grounding end, and are used for real-time monitoring and metering of current characteristic data of the cable at different positions. Specifically, the electric energy metering chip is located in the conductor part of the cable, and is used to directly measure the working current transmitted by the cable (i.e., the cable operating current), so as to evaluate the cable load condition and determine whether the cable is overloaded or under normal working load; the electric energy metering chip of the cable sheath is used to detect the circulating current induced in the sheath (sheath circulating current), so as to reveal the induced current condition of the cable sheath and prevent the sheath temperature from rising or the sheath being damaged due to excessive sheath circulating current; the electric energy metering chip is installed at the cable grounding end, which is used to monitor the grounding circulation current in the grounding system, so as to determine the normality of the grounding system, detect abnormal grounding current or leakage, and prevent electrical risks caused by grounding faults.

[0055] Although the present application makes various references to certain modules in the embodiments of the present application, any number of different modules may be used and run on a user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0056] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. An ultra-low power consumption cable tunnel sheath circulation online monitoring device, characterized in that: Including main processor, LORA wireless communication module, circulation acquisition module, Bluetooth module, power module and battery module: The LORA wireless communication module is used to receive a wake-up signal sent by the master station, and control the awakening of the circulation acquisition module and the main processor according to the wake-up signal; The circulation collection module is used to collect ground circulation data, sheath circulation data and cable running current data of the first cable in the preset cable tunnel, and send them to the main processor; The main processor is used to perform impact effect correlation analysis on the grounding circulation data, sheath circulation data and cable running current data through a pre-built ternary dynamic topology impact model, perform abnormality judgment according to the impact effect correlation result, generate an abnormality judgment result and send it to the main station through the LORA wireless communication module; The Bluetooth module is used to connect to the main processor and perform module function debugging on the LORA wireless communication module and the circulation acquisition module; The power module is used to provide working power to the main processor, the LORA wireless communication module, the circulating current acquisition module and the Bluetooth module; The battery module is connected to supply power to the main processor, the LORA wireless communication module and the circulating current acquisition module; The ultra-low power cable tunnel sheath circulation online monitoring device further comprises a data preprocessing module, and the steps of constructing the ternary dynamic topology influence model include: Obtaining cable sheath structure information and cable load bearing information of the first cable; Through the data preprocessing module, the historical sheath circulation monitoring data is retrieved with the cable sheath structure information and the cable load information as constraints, and a normal state ternary circulation data set and multiple abnormal state ternary circulation data sets under multiple abnormal states are generated; Taking the normal state ternary circulation data set as a reference, based on the multiple abnormal state ternary circulation data sets, an abnormal influence effect analysis between the sheath circulation current, the cable running current and the ground circulation current is performed to generate a ternary topology influence network; Constructing the ternary dynamic topology influence model based on the ternary topology influence network; The abnormal influence effect analysis between the sheath circulation current, the cable running current and the ground circulation current is performed based on the multiple abnormal state ternary circulation current data sets with reference to the normal state ternary circulation current data set, including: Traversing the plurality of abnormal state three-element circulation current data sets, identifying abnormal effects of sheath circulation current, cable running current and ground circulation current with the normal state three-element circulation current data set, and generating a multi-layer abnormal effect vector; Establishing a central ternary topological network with the normal state ternary circulation data set; Based on the central ternary topological network, abnormal effect association is performed according to the multi-layer abnormal effect vector, and a multi-layer abnormal effect association topology relative to the central ternary topological network is established; Establishing the ternary topological influence network with the central ternary topological network and the multi-layer abnormal effect associated topology; Wherein, based on the central ternary topological network, abnormal effect association is performed according to the multi-layer abnormal effect vector, and a multi-layer abnormal effect association topology relative to the central ternary topological network is established, including: The central ternary topology network includes a sheath circulation node, a cable running current node and a ground circulation node; Associating the first type of abnormal effect vector in the multi-layer abnormal effect vector with the central ternary topological network for overall network abnormal effect, and establishing an initial multi-layer topological structure; The second type of abnormal effect vector in the multi-layer abnormal effect vector is connected with the sheath circulation node, cable running current node and ground circulation node of the initial multi-layer topological structure for topological node abnormal effect association to generate the multi-layer abnormal effect association topology.

2. The ultra-low power consumption cable tunnel sheath circulation online monitoring device according to claim 1, characterized in that: Traversing the multiple abnormal state three-element circulation current data sets, identifying the abnormal effects of sheath circulation current, cable running current and ground circulation current with the normal state three-element circulation current data set, and generating a multi-layer abnormal effect vector, including: Extracting a first abnormal state ternary circulation data set from the plurality of abnormal state ternary circulation data sets; Identify the relative relationship among sheath circulating current, cable operating current and ground circulating current for the first abnormal state three-element circulating current data set to generate a first relative relationship; Identify the relative relationship between sheath circulating current, cable operating current and grounding circulating current for the normal state three-element circulating current data set, and generate a reference relative relationship; Comparing the difference between the first relative relationship and the reference relative relationship to generate a first type of abnormal effect vector; Calculating the difference of sheath circulating current, cable running current and ground circulating current respectively for the first abnormal state three-element circulating current data set and the normal state three-element circulating current data set, and generating a second type of abnormal effect vector; A first layer of abnormal effect vectors is generated using the first type of abnormal effect vectors and the second type of abnormal effect vectors, and is added to the multi-layer abnormal effect vectors.

3. The ultra-low power consumption cable tunnel sheath circulation online monitoring device according to claim 1, characterized in that: The power module includes a buck-boost integrated chip, and the buck-boost integrated chip is connected to the battery module; The output voltage of the battery module is adjusted to the working voltage through the buck-boost integrated chip to supply power to the main processor, the LORA wireless communication module, the circulating current acquisition module and the Bluetooth module.

4. The ultra-low power consumption cable tunnel sheath circulation online monitoring device according to claim 1, characterized in that: The LORA wireless communication module includes a sleep state and a wake-up state; Among them, when the LORA wireless communication module is in a dormant state, it has a low-power monitoring function, and enters a wake-up state when it monitors the wake-up signal sent by the master station.

5. The ultra-low power consumption cable tunnel sheath circulation online monitoring device according to claim 1, characterized in that: The Bluetooth module is used to connect the main processor, the LORA wireless communication module and the circulation acquisition module to perform module function debugging, including: Based on the Bluetooth module, the main processor is connected through a mobile terminal, the parameters of the LORA wireless communication module and the circulation acquisition module are modified, equipment testing is performed, and test data is received and returned to the mobile terminal for equipment maintenance and debugging.

6. The ultra-low power consumption cable tunnel sheath circulation online monitoring device according to claim 1, characterized in that: The circulating current acquisition module includes an electric energy metering chip located inside the first cable, at the first cable sheath and at the first cable grounding end.

7. The ultra-low power consumption cable tunnel sheath circulation online monitoring device according to claim 1, characterized in that: The main processor is used to perform impact effect correlation analysis on the grounding circulation data, the sheath circulation data and the cable running current data through a pre-built ternary dynamic topology impact model, perform abnormality judgment according to the impact effect correlation result, and generate an abnormality judgment result, including: Inputting the grounding circulation data, the sheath circulation data and the cable running current data into the ternary dynamic topology influence model, performing abnormal effect correlation topology matching, and generating the influence effect correlation result; The abnormal state is identified according to the impact effect association result to generate the abnormal judgment result.

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