GIS inflation field bus resource scheduling system based on topology dynamic reconfiguration

Abstract

A GIS inflation field bus resource scheduling system based on topology dynamic reconstruction, comprising: a GIS inflation device layer, a field bus topology collection layer, a topology dynamic reconstruction layer, a bus resource scheduling layer and a data interaction transmission layer; the GIS inflation device layer contains a plurality of distributed GIS inflation units, the GIS inflation units are respectively fixedly mounted with field bus communication nodes, the field bus topology collection layer is in communication with all the field bus communication nodes, and the topology dynamic reconstruction layer is fixedly and serially connected with the data output end of the field bus topology collection layer. Through the binding relationship between the physical coordinates and the logical ports, the present application realizes fault positioning and topology self-healing, shortens the system downtime, ensures that the scheduling instruction can reach the target device without error through the closed-loop data transmission link, avoids the risk of instruction loss or misexecution, and improves the continuity and safety of the entire GIS inflation operation process.

Description

Technical Field

[0001] This invention belongs to the field of GIS inflation resource scheduling technology, specifically a GIS inflation fieldbus resource scheduling system based on topology dynamic reconstruction. Background Technology

[0002] As core equipment in power transmission and distribution systems, GIS inflation equipment is used in large-scale power scenarios such as substations and high-voltage transmission corridors. The stability and continuity of its inflation operation determine the operational safety and maintenance efficiency of the power system. Fieldbus, as the core communication carrier for data interaction and command scheduling of GIS inflation equipment clusters, undertakes the functions of equipment status acquisition, control command transmission, and resource collaborative scheduling. Existing GIS inflation operation bus scheduling systems mostly adopt a fixed topology networking mode, relying on preset logical links to complete resource scheduling and data transmission for the equipment cluster. This is currently the mainstream application method for intelligent operation and maintenance of power GIS equipment.

[0003] However, the following technical problems still exist in the existing technology: Existing technologies often lack a binding mechanism between physical locations and logical ports when dealing with the complex physical layout environment of GIS inflation sites, leading to a disconnect between node information in the digital model and the actual hardware installation coordinates. When a node goes offline or a link is interrupted on-site, traditional systems cannot quickly pinpoint the source of the fault based on preset physical spatial relationships. They can only rely on global scanning or random traversal to find anomalies, making the fault location process lengthy and prone to misjudgments due to environmental interference. This directly prolongs system downtime and prevents the achievement of millisecond-level topology self-healing.

[0004] Secondly, existing technologies often employ unidirectional or loosely connected communication links between different levels, lacking a closed-loop data interaction and command feedback structure. Under high-load conditions during GIS inflation operations, control commands often lack an effective confirmation mechanism. If the data transmission link is subjected to strong electromagnetic interference or instantaneous fluctuations, command loss or execution misalignment is highly likely, making it difficult to guarantee the complete arrival and accurate execution of scheduling commands. This affects the continuity and safety of inflation operations and makes it impossible to adapt to the access needs of new equipment through flexible expansion of the underlying logic framework. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art, the present invention provides a GIS inflation fieldbus resource scheduling system based on topology dynamic reconstruction, so as to at least partially solve the above-mentioned technical problems.

[0006] The technical solution adopted in this invention is as follows: This invention proposes a GIS-based inflatable fieldbus resource scheduling system based on topology dynamic reconstruction, comprising: The system consists of a GIS inflation equipment layer, a fieldbus topology acquisition layer, a topology dynamic reconstruction layer, a bus resource scheduling layer, and a data interaction and transmission layer. The GIS inflation equipment layer includes several distributed GIS inflation units. Each GIS inflation unit is fixedly connected to a fieldbus communication node. The fieldbus topology acquisition layer communicates with all fieldbus communication nodes. The topology dynamic reconstruction layer is fixedly serially connected to the data output terminal of the fieldbus topology acquisition layer. The bus resource scheduling layer bidirectional communication connection topology dynamic reconstruction layer and the data interaction transmission layer respectively establish closed-loop data transmission links between the bus resource scheduling layer and the GIS inflation unit and the fieldbus topology acquisition layer. The topology dynamic reconstruction layer has a built-in hierarchical topology mapping matrix, which forms a static association structure with the physical layout location of the GIS inflation equipment and the access port of the bus node.

[0007] In one embodiment of the present invention, the GIS inflation equipment layer includes multiple sets of GIS inflation tanks arranged at intervals, a tank pressure monitoring module, an inflation control execution module, and a node fixing base. The node fixing base is fixedly installed at a preset installation point on the outside of each set of GIS inflation tanks. The fieldbus communication node is detachably locked and fixed inside the node fixing base. The tank pressure monitoring module and the inflation control execution module are respectively connected to the fieldbus communication node at the corresponding position through wiring to form a hard-wired connection structure.

[0008] In one embodiment of the present invention, the fieldbus topology acquisition layer includes a bus signal acquisition terminal, a port status identification module, a node location positioning module, and a raw topology storage module. The bus signal acquisition terminal is connected to the communication ports of the fieldbus communication nodes respectively through shielded bus cables. The port status identification module is integrated inside the bus signal acquisition terminal. The node location positioning module is serially connected to the data output terminal of the port status identification module. The raw topology storage module is fixedly connected to the back end of the node location positioning module, and the port status identification module, the node location positioning module, and the raw topology storage module form a serial data acquisition and storage link in sequence.

[0009] In one embodiment of the present invention, the topology dynamic reconstruction layer further includes a topology anomaly identification module, a topology splitting and reorganizing module, a hierarchical mapping update module, and a reconstructed topology output module. The signal input terminal of the topology anomaly identification module is connected to the original topology storage module via a data bus. The topology splitting and reorganizing module is fixedly connected to the output terminal of the topology anomaly identification module. The hierarchical mapping update module is bidirectionally connected to the topology splitting and reorganizing module and the hierarchical topology mapping matrix. The reconstructed topology output module is serially located at the back end of the hierarchical mapping update module.

[0010] In one embodiment of the present invention, the hierarchical topology mapping matrix is ​​divided into device-level submatrices, bus node-level submatrices, and link-level submatrices. The internal parameters of the device-level submatrices are fixedly bound to the physical installation coordinates and device numbers of each group of GIS inflatable tanks. The bus node-level submatrices are configured to interface with the device-level submatrices, and the parameters of the bus node-level submatrices correspond to and match the port numbers and access status parameters of each fieldbus communication node. The link-level submatrices are stacked at the rear of the bus node-level submatrices and are used to record the cable connection paths of adjacent bus nodes and cross-regional bus nodes. The three-level submatrices adopt a hierarchical nested fixed arrangement structure.

[0011] In one embodiment of the present invention, the topology splitting and reorganizing module incorporates a static topology benchmark library, a dynamic topology splitting unit, a cross-domain node reorganizing unit, and a topology verification unit. The static topology benchmark library pre-stores the bus topology connection structure of all GIS inflation equipment under normal operating conditions. The dynamic topology splitting unit is connected in parallel to the static topology benchmark library and the topology anomaly identification module. The cross-domain node reorganizing unit is fixedly connected to the output end of the dynamic topology splitting unit. The topology verification unit is serially located at the back end of the cross-domain node reorganizing unit. The dynamic topology splitting unit, the cross-domain node reorganizing unit, and the topology verification unit form a progressively advancing hardware execution link for topology reconstruction.

[0012] In one embodiment of the present invention, the bus resource scheduling layer includes a resource status acquisition module, a scheduling weight configuration module, a partition resource matching module, a dynamic scheduling output module, and a scheduling storage backup module. The input end of the resource status acquisition module is connected to the reconstructed topology output module. The scheduling weight configuration module is fixedly connected to the back end of the resource status acquisition module. The partition resource matching module is bidirectionally connected to the scheduling weight configuration module. The dynamic scheduling output module is serially located at the output end of the partition resource matching module. The scheduling storage backup module is mounted in parallel on both sides of the dynamic scheduling output module.

[0013] In one embodiment of the present invention, the data interaction transmission layer includes an industrial Ethernet cable, a bus data encryption module, a data frame verification module, a bidirectional forwarding port, and a disconnection reconnection module. The industrial Ethernet cable runs through and connects the bus resource scheduling layer, the topology dynamic reconstruction layer, and the GIS inflation equipment layer. The bus data encryption module is embedded in series in the backbone transmission link of the industrial Ethernet cable. The data frame verification module is fixedly connected in parallel to the back end of the bus data encryption module. The bidirectional forwarding port is respectively connected to the communication interface of each layer of equipment. The disconnection reconnection module is integrated inside the bidirectional forwarding port, forming an integrated connection structure with the bidirectional forwarding port.

[0014] In one embodiment of the present invention, a device status linkage acquisition layer is further included. The device status linkage acquisition layer includes a temperature and humidity acquisition sensor, a device vibration acquisition sensor, and a power supply voltage acquisition module. The temperature and humidity acquisition sensor and the device vibration acquisition sensor are fixedly installed on the side wall of each group of GIS inflation tanks by detachable brackets. The power supply voltage acquisition module is connected in series to the power supply circuit of each fieldbus communication node, and the signal output terminals of the temperature and humidity acquisition sensor, the device vibration acquisition sensor, and the power supply voltage acquisition module are all independently connected to the bus signal acquisition terminal.

[0015] In one embodiment of the present invention, a hierarchical early warning feedback layer is further included. The hierarchical early warning feedback layer includes a topology anomaly early warning module, a resource overload early warning module, a device fault early warning module, and a feedback execution module. The input end of the topology anomaly early warning module is connected to the topology anomaly identification module. The input end of the resource overload early warning module is connected to the partition resource matching module. The input end of the device fault early warning module is connected to the device status linkage acquisition layer. The feedback execution module is bidirectionally connected to the topology anomaly early warning module, the resource overload early warning module, and the device fault early warning module. The hierarchical early warning feedback layer as a whole forms a closed-loop hardware feedback connection structure with the bus resource scheduling layer and the topology dynamic reconstruction layer.

[0016] The beneficial effects of the technical solution of this invention are as follows: This invention utilizes the binding relationship between physical coordinates and logical ports to achieve fault location and topology self-healing, shortening system downtime. Simultaneously, the closed-loop data transmission link ensures that scheduling commands reach the target equipment without error, avoiding the risk of command loss or erroneous execution, and improving the continuity and safety of the entire GIS inflation operation process. Furthermore, the hierarchical nested structure of the hierarchical topology mapping matrix further enhances the system's scalability; adding new equipment only requires inserting new matrix units at the corresponding level without modifying the underlying logical framework, thereby reducing system maintenance costs and upgrade difficulty. The linkage between levels not only improves data processing efficiency but also enhances the system's adaptability to complex electromagnetic environments and mechanical vibrations, ensuring stable communication performance and efficient resource scheduling capabilities even under harsh GIS field conditions, providing technical support for the inflation operation of large power equipment.

[0017] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0018] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1This is a schematic diagram of the modules of the GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction proposed in an embodiment of the present invention; Figure 2 This is a functional diagram of the first module of the GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction proposed in an embodiment of the present invention. Figure 3 This is a functional diagram of the second module of the GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction proposed in an embodiment of the present invention; Figure 4 This is a functional diagram of the third module of the GIS inflation fieldbus resource scheduling system based on topology dynamic reconstruction proposed in an embodiment of the present invention. Detailed Implementation

[0019] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0020] The following describes an embodiment of the present invention, a GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction, with reference to the accompanying drawings.

[0021] like Figures 1 to 4 As shown, this embodiment of the invention provides a GIS inflation fieldbus resource scheduling system based on topology dynamic reconstruction, including: a GIS inflation equipment layer, a fieldbus topology acquisition layer, a topology dynamic reconstruction layer, a bus resource scheduling layer, and a data interaction and transmission layer; The GIS inflation equipment layer contains several distributed GIS inflation units. Each GIS inflation unit is fixedly connected to a fieldbus communication node. The fieldbus topology acquisition layer communicates with all fieldbus communication nodes. The topology dynamic reconstruction layer is fixedly serially connected to the data output terminal of the fieldbus topology acquisition layer. The bus resource scheduling layer establishes a bidirectional communication connection to the topology dynamic reconstruction layer, and the data interaction and transmission layer respectively builds a closed-loop data transmission link between the bus resource scheduling layer and the GIS inflation unit and the fieldbus topology acquisition layer. The topology dynamic reconstruction layer has a built-in hierarchical topology mapping matrix, which forms a static association structure with the physical layout location of the GIS inflation equipment and the access port of the bus node.

[0022] In specific applications, the GIS inflation device layer of this invention connects several distributed GIS inflation units to fieldbus communication nodes via physical interfaces. This allows gas pressure monitoring and flow control to be dependent on the node hardware, making them the control terminals of the inflation units. The fieldbus topology acquisition layer establishes a connection with all fieldbus communication nodes via communication cables, reads the status data reported by each node in real time, and transmits the data stream unidirectionally to the data input port of the topology dynamic reconstruction layer. The data acquisition process does not go through intermediate buffering, ensuring that the original signal characteristics are completely preserved. The topology dynamic reconstruction layer receives the continuous data stream from the acquisition layer and uses a built-in hierarchical topology mapping matrix to analyze the current network status. The matrix pre-records the correspondence between the physical coordinate information of the GIS equipment at the time of factory installation and the bus node ports. When the node position or connection status changes during actual operation, the internal parameters of the matrix automatically match the new physical connection path, forming a dynamically updated logical topology table.

[0023] Furthermore, the bus resource scheduling layer and the topology dynamic reconstruction layer maintain bidirectional data interaction. Based on the latest topology entries output by the reconstruction layer, the scheduling layer calculates the communication bandwidth allocation strategy and data transmission priority for each inflation unit and issues scheduling commands to specific nodes. The data interaction transmission layer constructs a closed-loop circuit, transmitting scheduling commands from the resource scheduling layer to the execution mechanism of the GIS inflation unit on one hand, and transmitting real-time pressure, flow, and valve opening data generated by the inflation unit back to the topology acquisition layer on the other, forming a complete control closed loop. The hierarchical topology mapping matrix is ​​composed of nested sub-matrices at the device level, bus node level, and link level. The device level sub-matrices lock the spatial coordinates and unique number of the GIS inflation tank; the node level sub-matrices record the communication port status and ID information of the connected devices; and the link level sub-matrices describe the physical connection routes between adjacent nodes and cross-regional connection paths. These three matrices work together to transform the physical installation locations of equipment into recognizable logical connections in the digital world.

[0024] Specifically, when a fieldbus experiences a disconnection, node failure, or new node connection, the topology acquisition layer detects the signal anomaly and immediately triggers the reconfiguration layer to initiate a recalculation process. The hierarchical topology mapping matrix, based on preset static association rules, re-verifies the matching degree between the current physical connections and logical records. If inconsistencies are found, the system automatically splits the original topology structure, reassembles new connection paths, and updates the link-level parameters in the matrix. Subsequently, it sends the updated topology configuration to the resource scheduling layer. After acquiring the new topology, the resource scheduling layer re-plans the transmission routes of data frames, avoiding faulty links and prioritizing the transmission of control commands for the inflation unit. Simultaneously, it uses an encrypted channel through the data interaction transmission layer to prevent external interference from compromising the integrity of the scheduling commands.

[0025] In one specific implementation, the GIS inflation equipment layer includes multiple sets of spaced GIS inflation tanks, tank pressure monitoring modules, inflation control execution modules, and node fixing bases. The node fixing bases are fixedly installed at preset installation points on the outside of each set of GIS inflation tanks. The fieldbus communication nodes are detachably locked and fixed inside the node fixing bases. The tank pressure monitoring modules and inflation control execution modules are connected to the corresponding fieldbus communication nodes via cabling to form a hard-wired connection structure.

[0026] In specific applications of this invention, each set of inflatable tanks has a fixed welding node fixed base at a preset installation point on the outside. The base has slots and locking holes. The fieldbus communication node is embedded in the base through a snap-fit ​​structure and locking bolts. The tank pressure monitoring module is built into the tank wall or connecting flange. Its signal output terminal is connected to the input port of the corresponding fieldbus communication node through a shielded twisted pair cable. The inflation control execution module is connected in series to the gas pipeline node. Its drive coil and control circuit are also connected to the same fieldbus communication node through an independent cable to establish a hard-wired connection structure, ensuring that the pressure value acquisition and valve opening control command can still maintain low-latency transmission in a strong electromagnetic interference environment.

[0027] Furthermore, the node mounting base integrates the fieldbus communication node, pressure monitoring module, and inflation control execution module into an independent inflation unit module. Each module forms a local star topology via a cabling bundle, which then converges to the main bus network. When a group of GIS inflation tanks needs to be replaced or repaired, the operator can directly loosen the locking bolts and remove the fieldbus communication node from the base without disconnecting the cabling between the pressure monitoring module and the inflation control execution module on the tank. After the new node is inserted, it automatically recognizes the original interface definition and restores the data acquisition and control functions. The tank pressure monitoring module senses changes in SF6 gas pressure in real time, converts the analog electrical signal into a digital signal, and transmits it to the fieldbus communication node via the cabling. After preliminary filtering of the data, the node, combined with the current status of the inflation control execution module, generates a data frame containing pressure value, valve position, and node ID, which is then uploaded to the upper-level bus network via a hardwired channel.

[0028] Specifically, the inflation control execution module receives switching commands from the bus, drives the valve core to adjust the gas flow, and its feedback signal is transmitted back to the fieldbus communication node via cabling, forming a closed-loop control circuit. The installation points of the node mounting bases are pre-planned to ensure that the cabling lengths of each inflation unit are matched and the wiring routing is clear, avoiding cable tangling that could affect heat dissipation and maintenance. The fieldbus communication node integrates an isolation transformer and an optocoupler, effectively blocking electrical interference between the high-voltage and low-voltage sides, ensuring the authenticity of pressure monitoring data and the safety of inflation control. Multiple inflation units are arranged at intervals to cover the entire GIS equipment area. Each unit node mounting base is independent yet uniformly controlled, forming a distributed control network. A failure in any unit will not cause other units to lose control. Simultaneously, the cabling is made of high-temperature and corrosion-resistant materials, adapting to the GIS equipment operating environment. The hard-wired connection structure eliminates packet loss in wireless communication, ensuring that control commands reach the actuator within milliseconds during emergency inflation or depressurization.

[0029] In one specific implementation, the fieldbus topology acquisition layer includes a bus signal acquisition terminal, a port status identification module, a node location positioning module, and a raw topology storage module. The bus signal acquisition terminal is connected to the communication ports of the fieldbus communication nodes via shielded bus cables. The port status identification module is integrated inside the bus signal acquisition terminal. The node location positioning module is serially connected to the data output terminal of the port status identification module. The raw topology storage module is fixedly connected to the back end of the node location positioning module. The port status identification module, the node location positioning module, and the raw topology storage module form a serial data acquisition and storage link in sequence.

[0030] In practical applications, the fieldbus topology acquisition layer of this invention consists of a bus signal acquisition terminal, a port status identification module, a node location module, and an original topology storage module connected in series to form a complete data acquisition link. The bus signal acquisition terminal, as a front-end interface unit, is connected to the physical communication ports of each fieldbus communication node via multiple shielded bus cables. The shielding layer is grounded at both ends to suppress the influence of electromagnetic interference on signal transmission. The port status identification module is integrated into the internal circuit board of the bus signal acquisition terminal. It reads the electrical characteristic parameters of each communication port, including voltage level, impedance matching degree, and handshake signal timing, and determines in real time whether the port is online, offline, or in an abnormal state, and converts the identification results into digital logic signals for output.

[0031] Furthermore, the node location module is serially connected to the data output of the port status identification module. It receives the port status data stream from the preceding stage and, combined with a preset node physical coordinate mapping table, converts the abstract port status data into specific spatial location information, generating a structured data packet containing the node ID, current status, and spatial coordinates. The original topology storage module is fixedly connected to the back-end data interface of the node location module and uses a non-volatile memory array to record the structured data packets generated at each moment, forming a continuous historical topology snapshot sequence.

[0032] Specifically, the port status identification module, node location module, and original topology storage module are directly interconnected via a high-speed serial bus. Data flow is unidirectional, from port status identification to location positioning and then to original storage, without any buffering, rewriting, or protocol conversion steps, ensuring the integrity of the original data and the continuity of timestamps. When a fieldbus communication node is plugged in / out or the line is interrupted, the port status identification module immediately detects a level transition, triggering the node location module to recalculate the node's spatial affiliation and write the updated topology structure into the original topology storage module for use by the upper-layer system. The shielded bus cable uses a double-layer shielding structure: an inner aluminum foil layer shields against high-frequency interference, and an outer braided mesh layer shields against low-frequency magnetic fields. The connectors at both ends of the cable are gold-plated to reduce contact resistance. The port status identification module integrates a comparator array and counter to quantify port signal quality. The node location module has a built-in microprocessor that executes coordinate calculation algorithms. The original topology storage module supports a cyclic overwrite write strategy, retaining the topology data from the most recent N periods for traceability.

[0033] In one specific implementation, the topology dynamic reconstruction layer further includes a topology anomaly identification module, a topology splitting and reorganizing module, a hierarchical mapping update module, and a reconstructed topology output module. The signal input terminal of the topology anomaly identification module is connected to the original topology storage module through a data bus. The topology splitting and reorganizing module is fixedly connected to the output terminal of the topology anomaly identification module. The hierarchical mapping update module is bidirectionally connected to the topology splitting and reorganizing module and the hierarchical topology mapping matrix. The reconstructed topology output module is serially located at the back end of the hierarchical mapping update module.

[0034] In practical applications, the topology dynamic reconstruction layer of this invention consists of a topology anomaly identification module, a topology splitting and reorganizing module, a hierarchical mapping and updating module, and a reconstructed topology output module connected in series. Each module is directly interconnected via a high-speed data bus, forming an automated fault response and network repair chain. The data input terminal of the topology anomaly identification module is connected to the original topology storage module via a parallel data bus, reads the latest historical topology snapshot sequence in real time, compares the currently collected node status, port connection relationships, and location coordinate information with the preset normal operating condition benchmark model bit by bit, identifies abnormal features such as port disconnection, signal interruption, node displacement, or link redundancy, and marks the anomaly type, occurrence time, and involved node number as an anomaly event stream.

[0035] Furthermore, the topology splitting and reassembling module is fixedly connected to the output of the anomaly identification module. After receiving the anomaly event stream, it initiates a logical splitting program. Based on preset topology segmentation rules, it divides the complete network structure containing the anomaly node into several independent subnets, eliminates faulty link segments, and retains connectivity between normal nodes. Subsequently, it uses a cross-domain reassembly algorithm to establish new virtual connection paths between subnets, filling the communication gaps caused by node failures and generating a preliminary reconstructed topology scheme. The hierarchical mapping update module uses a bidirectional communication interface to connect the topology splitting and reassembling module and the hierarchical topology mapping matrix respectively. On the one hand, it receives the reconstructed new topology scheme; on the other hand, it reads the static parameters at the device level, node level, and link level in the hierarchical topology mapping matrix. It merges and verifies the dynamically generated new connection relationships with the static physical binding information to ensure that the reconstructed logical topology does not violate the physical installation coordinates and port attribute restrictions of the devices. If a conflict is found, the parameters are automatically corrected. Finally, the verified update command is written into the hierarchical topology mapping matrix to complete the synchronous refresh of the data within the matrix.

[0036] Specifically, the topology reconstructing output module is serially deployed behind the hierarchical mapping update module. It receives the updated hierarchical topology mapping matrix data, encapsulates it into a standardized topology configuration message, and sends it to the bus resource scheduling layer through a dedicated output interface for subsequent bandwidth allocation and routing planning.

[0037] In one specific implementation, the hierarchical topology mapping matrix is ​​divided into device-level submatrices, bus node-level submatrices, and link-level submatrices. The internal parameters of the device-level submatrices are fixedly bound to the physical installation coordinates and device numbers of each group of GIS inflatable tanks. The bus node-level submatrices are configured to interface with the device-level submatrices, and the parameters of the bus node-level submatrices correspond to and match the port numbers and access status parameters of each fieldbus communication node. The link-level submatrices are stacked behind the bus node-level submatrices and are used to record the cable connection paths of adjacent bus nodes and cross-regional bus nodes. The three-level submatrices adopt a hierarchical nested fixed arrangement structure.

[0038] In specific applications, the hierarchical topology mapping matrix of this invention adopts a fixed arrangement structure of layered nesting. It is composed of device-level sub-matrices, bus node-level sub-matrices, and link-level sub-matrices stacked sequentially from bottom to top. The three data domains are associated with each other through index pointers. The device-level sub-matrices serve as the top-level infrastructure. The internal storage parameters are bound to the physical installation coordinates and unique device number of the GIS inflatable tank in an unchangeable relationship. Each matrix unit corresponds to a specific inflatable tank location and records its X, Y, and Z three-dimensional spatial coordinates and its serial number at the time of manufacture, ensuring that each inflatable unit in the physical world has a unique identity and spatial anchor point in the digital matrix.

[0039] Furthermore, the bus node-level submatrix is ​​positioned below the device-level submatrix. Its parameter entries correspond to the fieldbus communication nodes mounted on each group of inflation tanks, recording the node's port number, current connection status, and electrical characteristic parameters. Each line of data represents a specific communication interface. It is logically linked to the tank number in the upper-level device-level submatrix via an external index pointer, achieving hierarchical penetration from "tank" to "node." When a node is plugged in, unplugged, or replaced, only the port status bit in this level of the submatrix needs to be updated; the coordinate information of the upper-level device does not need to be changed. The link-level submatrix is ​​stacked behind the bus node-level submatrix and is used to describe the cable connection paths between adjacent bus nodes and between cross-regional bus nodes. It records the length, direction, intermediate plug-in locations, and signal attenuation thresholds of the physical cables, connecting scattered nodes into a complete network topology through virtual connections. It supports path recalculation in case of single-link failure and multi-link redundancy backup strategies.

[0040] Specifically, the three-level submatrix adopts a hierarchical nested fixed arrangement. The device-level submatrix provides a global coordinate framework, the bus node-level submatrix fills in local communication details, and the link-level submatrix constructs dynamic connection relationships. When the fieldbus topology changes, the system locates the tank to which the affected node belongs based on the spatial reference of the device-level submatrix, calls the bus node-level submatrix to update the port status, and then combines the link-level submatrix to replan the connection path between nodes, generating a new logical topology table. This ensures that no matter how nodes move or how lines are reorganized, the system can always reconstruct the correct communication network based on physical facts, avoiding addressing errors and communication interruptions caused by ambiguity of physical location in traditional topology mapping.

[0041] In one specific implementation, the topology splitting and reorganizing module has a built-in static topology benchmark library, a dynamic topology splitting unit, a cross-domain node reorganizing unit, and a topology verification unit. The static topology benchmark library pre-stores the bus topology connection structure of all GIS inflation equipment under normal operating conditions. The dynamic topology splitting unit is connected in parallel to the static topology benchmark library and the topology anomaly identification module. The cross-domain node reorganizing unit is fixedly connected to the output end of the dynamic topology splitting unit. The topology verification unit is serially set at the back end of the cross-domain node reorganizing unit. The dynamic topology splitting unit, the cross-domain node reorganizing unit, and the topology verification unit form a progressively advancing hardware execution link for topology reconstruction.

[0042] In practical applications, the topology splitting and reassembling module of this invention integrates a static topology benchmark library, a dynamic topology splitting unit, a cross-domain node reassembly unit, and a topology verification unit. These four components constitute a hardware processing link from reference comparison to execution repair and final verification. The static topology benchmark library pre-stores bus connection structure data of all GIS inflation equipment under standard operating conditions, including the physical distance between nodes, port correspondence, and signal transmission timing parameters, serving as the sole reference for subsequent anomaly handling. The dynamic topology splitting unit connects the static topology benchmark library and the topology anomaly identification module in parallel, receiving anomaly event streams from the identification module in real time. Simultaneously, it calls the normal topology model in the benchmark library for point-by-point comparison, identifies fault areas deviating from the preset structure, and divides the network containing the fault points into several independent subnets according to a preset segmentation algorithm, cutting off the fault propagation path, preserving the integrity of the normal communication link, and generating a preliminary split topology map.

[0043] Furthermore, the cross-domain node reassembly unit is fixedly connected to the output end of the dynamic topology splitting unit. It receives the split subnet data and uses cross-domain routing algorithms to establish new virtual connection channels between geographically dispersed or logically isolated subnets. This fills the communication gaps caused by node failures, reconstructs a continuous communication network covering the entire field, and ensures that data streams can achieve lossless transmission across the original physical boundaries. The topology verification unit is deployed serially at the back end of the cross-domain node reassembly unit. It performs a comprehensive consistency check on the reassembled new topology scheme, verifying whether the new path meets bandwidth requirements, latency thresholds, and device power supply limitations. If a conflict is found, it automatically reverts to the previous splitting state and recalculates until a valid topology scheme that meets all constraints is generated.

[0044] Specifically, the dynamic topology splitting unit, the cross-domain node reorganization unit, and the topology verification unit form a progressive hardware execution link for topology reconstruction. Data flows unidirectionally from the previous module to the next module, and the processing results of each level provide the input basis for the next level. Errors in the previous level directly block the execution of the next level, ensuring that the entire reconstruction process is complete without omissions.

[0045] In one specific implementation, the bus resource scheduling layer includes a resource status acquisition module, a scheduling weight configuration module, a partition resource matching module, a dynamic scheduling output module, and a scheduling storage backup module. The input end of the resource status acquisition module is connected to the topology reconstruction output module. The scheduling weight configuration module is fixedly connected to the back end of the resource status acquisition module. The partition resource matching module is bidirectionally connected to the scheduling weight configuration module. The dynamic scheduling output module is serially located at the output end of the partition resource matching module. The scheduling storage backup module is parallelly mounted on both sides of the dynamic scheduling output module.

[0046] The data interaction transmission layer includes an industrial Ethernet cable, a bus data encryption module, a data frame verification module, a bidirectional forwarding port, and a disconnection reconnection module. The industrial Ethernet cable runs through and connects the bus resource scheduling layer, the topology dynamic reconstruction layer, and the GIS inflation equipment layer. The bus data encryption module is embedded in series in the backbone transmission link of the industrial Ethernet cable. The data frame verification module is fixedly connected in parallel to the back end of the bus data encryption module. The bidirectional forwarding port is connected to the communication interface of each level of equipment. The disconnection reconnection module is integrated inside the bidirectional forwarding port, forming an integrated connection structure with the bidirectional forwarding port.

[0047] In practical applications, the bus resource scheduling layer of this invention comprises a resource status acquisition module, a scheduling weight configuration module, a partition resource matching module, a dynamic scheduling output module, and a scheduling storage backup module, forming a closed-loop control flow. The resource status acquisition module receives updated data from the topology reconstruction output module, analyzes in real time the load rate, signal quality, and available bandwidth information of each node in the current network, and converts the analysis results into a standardized state vector. The scheduling weight configuration module is fixedly connected to the backend of the acquisition module. Based on preset inflation operation priority rules, it assigns different weights to each indicator in the state vector, calculates the comprehensive scheduling weight of each node or partition, and provides a quantitative basis for subsequent resource allocation.

[0048] Furthermore, the partitioned resource matching module is bidirectionally connected to both sides of the weighted configuration module. On one hand, it reads the weighted node scores; on the other hand, it connects to the actual physical partition boundaries of the GIS equipment layer, dynamically matching high-weight demands with low-load areas to generate a preliminary resource allocation scheme. It also automatically adjusts the matching strategy when conflicts are detected. The dynamic scheduling output module is deployed serially after the matching module. It encapsulates the determined resource allocation instructions into executable control messages and sends them to specific fieldbus communication nodes and inflation control execution modules, driving the equipment to operate according to the new scheme. The scheduling storage backup module is mounted in parallel on both sides of the dynamic scheduling output module, recording all scheduling decision processes and final instruction sets in real time. If the main link is interrupted or the system restarts, it immediately restores the previous valid scheduling state from the backup library, ensuring uninterrupted business continuity.

[0049] Specifically, the data interaction transmission layer relies on industrial Ethernet cables to construct the backbone channel, connecting the three layers mentioned above. The bus data encryption module is embedded in series in the Ethernet backbone link, performing high-strength encryption on all uplink and downlink data to prevent SF6 gas pressure parameters and control commands from being illegally intercepted or tampered with during transmission. The data frame verification module is connected in parallel behind the encryption module, performing cyclic redundancy check and integrity comparison on each data packet. The bidirectional forwarding ports correspond to the communication interfaces of each layer of devices, responsible for protocol conversion and signal amplification, ensuring that terminal devices with different speeds and protocols can seamlessly access the unified network. The disconnection reconnection module is integrated inside the bidirectional forwarding port, forming an integral structure with the port, continuously monitoring link connectivity. Once a physical disconnection or signal loss is detected, a millisecond-level reconnection procedure is immediately triggered to renegotiate link parameters and establish a new transmission channel, minimizing network interruption time.

[0050] In one specific implementation, the system further includes an equipment status linkage acquisition layer, which includes a temperature and humidity acquisition sensor, an equipment vibration acquisition sensor, and a power supply voltage acquisition module. The temperature and humidity acquisition sensor and the equipment vibration acquisition sensor are fixedly installed on the side wall of each GIS inflation tank by a detachable bracket. The power supply voltage acquisition module is connected in series to the power supply circuit of each fieldbus communication node, and the signal output terminals of the temperature and humidity acquisition sensor, the equipment vibration acquisition sensor, and the power supply voltage acquisition module are all independently connected to the bus signal acquisition terminal.

[0051] It also includes a hierarchical early warning feedback layer, which includes a topology anomaly early warning module, a resource overload early warning module, a device fault early warning module, and a feedback execution module. The input end of the topology anomaly early warning module is connected to the topology anomaly identification module, the input end of the resource overload early warning module is connected to the partition resource matching module, and the input end of the device fault early warning module is connected to the device status linkage acquisition layer. The feedback execution module is bidirectionally connected to the topology anomaly early warning module, the resource overload early warning module, and the device fault early warning module, respectively. The hierarchical early warning feedback layer as a whole forms a closed-loop hardware feedback connection structure with the bus resource scheduling layer and the topology dynamic reconstruction layer.

[0052] In practical applications, the device status linkage acquisition layer of this invention constructs a multi-dimensional sensing network of physical environment and electrical characteristics. Temperature and humidity acquisition sensors and equipment vibration acquisition sensors are directly fixed to the side wall surface of each group of GIS inflatable tanks through detachable brackets. The sensor probes are close to the metal shell to capture temperature fluctuations, humidity changes and micro-amplitude mechanical vibration signals on the surface of the tank in real time. The power supply voltage acquisition module is embedded in series in the power supply circuit of each fieldbus communication node to directly monitor the ripple amplitude and instantaneous drop of the node's working voltage. The analog signal output terminals of the three types of sensors are independently connected to different input channels of the bus signal acquisition terminal to avoid signal crosstalk and ensure that environmental parameters, mechanical status and electrical parameters are isolated, acquired and digitized synchronously at the source, forming a three-dimensional status data stream covering physical space, mechanical structure and power supply.

[0053] Furthermore, the hierarchical early warning feedback layer consists of a closed-loop control system comprised of a topology anomaly early warning module, a resource overload early warning module, an equipment failure early warning module, and a feedback execution module. The input of the topology anomaly early warning module is directly connected to the topology anomaly identification module, receiving its output of network structure breakage or node offline events. Once a communication link interruption or topology distortion is detected, it immediately triggers an audible and visual alarm and a logic locking command. The input of the resource overload early warning module is connected to the partition resource matching module, which monitors the bandwidth utilization and data processing queue length of each partition in real time. When the load of a partition exceeds a preset threshold, it automatically initiates a rate limiting strategy and notifies the scheduling layer to reallocate resource paths.

[0054] Specifically, the input of the equipment fault early warning module is connected to the equipment status linkage acquisition layer. It continuously compares and analyzes physical quantities such as excessive temperature and humidity, abnormal vibration frequency, or unstable power supply voltage to identify potential hazards such as sealing failure, mechanical loosening, or power supply failure, and converts abnormal characteristics of the physical world into digital early warning signals. The feedback execution module, as the central interface, establishes bidirectional communication connections with the above three early warning modules. After receiving alarm information from each early warning source, it not only pushes a visual fault report to the human-machine interface, but also sends control commands back to the bus resource scheduling layer and the topology dynamic reconstruction layer to drive the system to automatically adjust the working mode or switch to the backup link. The hierarchical early warning feedback layer, together with the bus resource scheduling layer and the topology dynamic reconstruction layer, forms a closed-loop hardware feedback connection structure, which allows small changes in the physical state to be transmitted to the logic decision layer, triggering topology reconstruction or resource reconfiguration. The adjustment results of the logic layer, in turn, affect the operating status of the physical equipment.

[0055] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0056] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A GIS-based inflatable fieldbus resource scheduling system based on topology dynamic reconstruction, characterized in that, include: The system consists of a GIS inflation equipment layer, a fieldbus topology acquisition layer, a topology dynamic reconstruction layer, a bus resource scheduling layer, and a data interaction and transmission layer. The GIS inflation equipment layer includes several distributed GIS inflation units. Each GIS inflation unit is fixedly connected to a fieldbus communication node. The fieldbus topology acquisition layer communicates with all fieldbus communication nodes. The topology dynamic reconstruction layer is fixedly serially connected to the data output terminal of the fieldbus topology acquisition layer. The bus resource scheduling layer bidirectional communication connection topology dynamic reconstruction layer and the data interaction transmission layer respectively establish closed-loop data transmission links between the bus resource scheduling layer and the GIS inflation unit and the fieldbus topology acquisition layer. The topology dynamic reconstruction layer has a built-in hierarchical topology mapping matrix, which forms a static association structure with the physical layout location of the GIS inflation equipment and the access port of the bus node.

2. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 1, characterized in that, The GIS inflation equipment layer includes multiple sets of spaced GIS inflation tanks, tank pressure monitoring modules, inflation control execution modules, and node fixing bases. The node fixing bases are fixedly installed at preset installation points on the outside of each set of GIS inflation tanks. The fieldbus communication nodes are detachably locked and fixed inside the node fixing bases. The tank pressure monitoring modules and inflation control execution modules are connected to the corresponding fieldbus communication nodes via cabling to form a hard-wired connection structure.

3. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 2, characterized in that, The fieldbus topology acquisition layer includes a bus signal acquisition terminal, a port status identification module, a node location positioning module, and a raw topology storage module. The bus signal acquisition terminal is connected to the communication ports of the fieldbus communication nodes via shielded bus cables. The port status identification module is integrated inside the bus signal acquisition terminal. The node location positioning module is serially connected to the data output terminal of the port status identification module. The raw topology storage module is fixedly connected to the back end of the node location positioning module. The port status identification module, the node location positioning module, and the raw topology storage module form a serial data acquisition and storage link in sequence.

4. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 3, characterized in that, The topology dynamic reconstruction layer also includes a topology anomaly identification module, a topology splitting and recombining module, a hierarchical mapping update module, and a reconstructed topology output module. The signal input terminal of the topology anomaly identification module is connected to the original topology storage module through a data bus. The topology splitting and recombining module is fixedly connected to the output terminal of the topology anomaly identification module. The hierarchical mapping update module is bidirectionally connected to the topology splitting and recombining module and the hierarchical topology mapping matrix. The reconstructed topology output module is serially located at the back end of the hierarchical mapping update module.

5. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 4, characterized in that, The hierarchical topology mapping matrix is ​​divided into device-level submatrices, bus node-level submatrices, and link-level submatrices. The internal parameters of the device-level submatrices are fixedly bound to the physical installation coordinates and device numbers of each group of GIS inflatable tanks. The bus node-level submatrices are configured to interface with the device-level submatrices, and the parameters of the bus node-level submatrices correspond to and match the port numbers and access status parameters of each fieldbus communication node. The link-level submatrices are stacked behind the bus node-level submatrices and are used to record the cable connection paths of adjacent bus nodes and cross-regional bus nodes. The three-level submatrices adopt a hierarchical nested fixed arrangement structure.

6. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 5, characterized in that, The topology splitting and reassembly module includes a static topology benchmark library, a dynamic topology splitting unit, a cross-domain node reassembly unit, and a topology verification unit. The static topology benchmark library pre-stores the bus topology connection structure of all GIS inflation equipment under normal operating conditions. The dynamic topology splitting unit is connected in parallel to the static topology benchmark library and the topology anomaly identification module. The cross-domain node reassembly unit is fixedly connected to the output end of the dynamic topology splitting unit. The topology verification unit is serially located at the back end of the cross-domain node reassembly unit. The dynamic topology splitting unit, the cross-domain node reassembly unit, and the topology verification unit form a progressively advancing hardware execution link for topology reconstruction.

7. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 6, characterized in that, The bus resource scheduling layer includes a resource status acquisition module, a scheduling weight configuration module, a partition resource matching module, a dynamic scheduling output module, and a scheduling storage backup module. The input end of the resource status acquisition module is connected to the topology reconstruction output module. The scheduling weight configuration module is fixedly connected to the back end of the resource status acquisition module. The partition resource matching module is bidirectionally connected to the scheduling weight configuration module. The dynamic scheduling output module is serially located at the output end of the partition resource matching module. The scheduling storage backup module is parallelly mounted on both sides of the dynamic scheduling output module.

8. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 7, characterized in that, The data interaction transmission layer includes an industrial Ethernet cable, a bus data encryption module, a data frame verification module, a bidirectional forwarding port, and a disconnection reconnection module. The industrial Ethernet cable runs through and connects the bus resource scheduling layer, the topology dynamic reconstruction layer, and the GIS inflation equipment layer. The bus data encryption module is embedded in series in the backbone transmission link of the industrial Ethernet cable. The data frame verification module is fixedly connected in parallel to the back end of the bus data encryption module. The bidirectional forwarding port is respectively connected to the communication interface of each level of equipment. The disconnection reconnection module is integrated inside the bidirectional forwarding port, forming an integrated connection structure with the bidirectional forwarding port.

9. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 8, characterized in that, It also includes an equipment status linkage acquisition layer, which includes a temperature and humidity acquisition sensor, an equipment vibration acquisition sensor, and a power supply voltage acquisition module. The temperature and humidity acquisition sensor and the equipment vibration acquisition sensor are fixedly installed on the side wall of each GIS inflation tank through detachable brackets. The power supply voltage acquisition module is connected in series to the power supply circuit of each fieldbus communication node, and the signal output terminals of the temperature and humidity acquisition sensor, the equipment vibration acquisition sensor, and the power supply voltage acquisition module are all independently connected to the bus signal acquisition terminal.

10. The GIS inflatable fieldbus resource scheduling system based on topology dynamic reconstruction according to claim 9, characterized in that, It also includes a hierarchical early warning feedback layer, which includes a topology anomaly early warning module, a resource overload early warning module, a device fault early warning module, and a feedback execution module. The input end of the topology anomaly early warning module is connected to the topology anomaly identification module, the input end of the resource overload early warning module is connected to the partition resource matching module, and the input end of the device fault early warning module is connected to the device status linkage acquisition layer. The feedback execution module is bidirectionally connected to the topology anomaly early warning module, the resource overload early warning module, and the device fault early warning module, and the hierarchical early warning feedback layer as a whole forms a closed-loop hardware feedback connection structure with the bus resource scheduling layer and the topology dynamic reconstruction layer.

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