A collaborative networking and data fusion system and method for a pipe-shaft type detector

Abstract

The application provides a pipe well type detector cooperative networking and data fusion system and method, which divides the pipe well type detector into multiple information transmission chains with different layouts, combines fixed source nodes to form a multi-point detection and mining information collection data structure, reuses a specific number of pipe well type detectors, configures a link when building a cooperative networking organization network of the pipe well type detector, realizes multi-configuration and multi-network type merging support, provides linkage support for fixed source nodes and multiple movable pipe well type detectors based on a multi-chain cooperative networking mode of the cooperative networking cross data chain, and provides a cross-chain information fusion + source node merging mode data fusion mechanism based on a multi-chain cooperative information transmission mechanism for pipe well data fusion and security protection, so as to effectively improve the cooperative networking performance and data collection efficiency of the pipe well type detector.

Description

Technical Field

[0001] This invention belongs to the field of next-generation information technology, and specifically relates to a computer task scheduling control and regulation system (G05B) and an electrical digital data processing system (G06F) for computer task processing information systems. In particular, it relates to a collaborative networking and data fusion system and method for well-type detectors. Background Technology

[0002] During well operations, it is necessary to constantly check the environmental parameters and system transmission and information flow at all points within the well and on the operating face. This allows for comprehensive control based on information operation data and enables real-time prevention of safety accidents, providing efficient early warnings. Based on this, multi-point detection and monitoring technology using detectors has emerged.

[0003] The well-type detector is a modular monitoring device designed specifically for confined spaces such as underground valve wells, inspection wells, and cable trenches. Its structure must simultaneously meet multiple constraints such as explosion-proof safety, environmental sealing, and maintenance accessibility.

[0004] In engineering design, the detector housing is generally made of cast aluminum or stainless steel, with an anti-corrosion layer formed by electrostatic spraying and anodizing. The protection level reaches IP68 to resist long-term immersion in water and dust intrusion. Explosion-proof certification covers both flameproof and intrinsically safe types to adapt to the gas classification requirements of different areas. The sensing units are flexibly configured according to the monitoring target: combustible gas detection uses catalytic combustion or infrared absorption principles to handle low-concentration early warnings in the initial stage of a leak and high-concentration monitoring during replacement operations; oxygen detection uses electrochemical or paramagnetic principles to determine whether a confined space is suitable for personnel entry; toxic gas detection such as hydrogen sulfide and carbon monoxide uses highly selective electrochemical sensors, with cross-interference corrected through a multivariate calibration matrix; liquid level detection uses submersible pressure transmitters or ultrasonic non-contact solutions to distinguish between water and oil; temperature and humidity monitoring is used to assess condensation risk and corrosion rate. The signal processing board integrates a 24-bit analog-to-digital converter and digital filtering algorithms to perform temperature compensation, linearization, and drift correction on the raw sensor output. It communicates with the host system via RS485 or 4-20mA standard interfaces. Some models support LoRa or NB-IoT wireless transmission to avoid difficulties in wiring inside the well.

[0005] Power supply design is a key technical challenge for well-type detectors. Wells typically lack mains power access and rely on batteries or energy harvesting for long-term autonomous operation. Energy harvesting schemes utilize the mechanical vibrations of the well cover opening and closing, underground temperature differences, or surface sunlight to convert energy into electricity via piezoelectric transducers, thermoelectric modules, or flexible photovoltaic modules. This electricity is stored in solid-state batteries or supercapacitors, suitable for shallow wells with good lighting conditions or steam trenches with significant temperature differences. A power management chip monitors the energy storage status in real time. When the voltage falls below a safe threshold, it automatically reduces the sampling frequency or shuts down non-core sensors to ensure the continuity of critical gas detection functions and sends a power warning to the platform to trigger a preventative replacement plan. The accessibility of installation and maintenance directly impacts the detector's practicality. The detector body is fixed to the well wall via magnetic brackets or expansion bolts. The sensor probe extends to the low-lying area at the bottom of the well where gas tends to accumulate via a waterproof cable, forming a split structure to prevent the main unit from being submerged. A magnetic induction or mechanical trigger switch is installed at the well cover, which wakes up the device and puts it into maintenance mode when opened. It supports local infrared or Bluetooth configuration without disassembly. Calibration is performed using a dedicated ventilation hood and a standard gas cylinder. The software supports one-click zero-point calibration and span calibration, and automatically records the calibration time, gas cylinder batch number, and operator information to an unalterable storage area, meeting metrological traceability requirements. For deep wells or high-risk wells, the detector is equipped with a telescopic hoisting rod and quick connectors, allowing surface personnel to complete replacement work without entering the well, reducing the risks of confined space operations.

[0006] In gas pipeline network applications, well-type detectors form the foundational nodes for underground facility status monitoring. Valve wells, as key facilities for pipeline segmentation, isolation, and flow regulation, often have leaks that are difficult to detect through surface inspections. Detectors sample gas concentration within the well at minute-level intervals; abnormal concentration gradients or sudden increases trigger local audible and visual alarms and remote platform notifications. Location accuracy depends on the matching accuracy between the well coordinates and the pipeline topology. Concentration correlation analysis between adjacent wells can help determine the direction of the leak source, narrowing the investigation scope. For functional chambers such as condensate tanks and vent pipes, liquid level monitoring prevents condensate overflow and water blockage, pressure monitoring verifies the sealing status of vent valves, and multi-parameter fusion extends the scope from single leak detection to comprehensive facility health assessment. During the rainy season or periods of rising groundwater levels, the detector's water immersion detection function triggers remote start / stop or manual intervention decisions for drainage pumps, preventing electrical equipment from failing due to prolonged water immersion.

[0007] In practical well detection scenarios, data fusion and intelligent diagnostics enhance the value density of detectors. Single-point concentration readings are easily affected by environmental disturbances such as vehicle exhaust diffusion and construction dust, resulting in a high false alarm rate. After multi-well data is aggregated to an edge computing gateway, spatiotemporal correlation algorithms identify the true leakage characteristics: the concentration rise caused by leakage is continuous, gradient-like, and wind-direction-correlated, distinguishing it from the impulsive and random nature of instantaneous interference. Machine learning models use historical leakage events as positive samples and normal fluctuations such as calibration ventilation and meteorological changes as negative samples to train binary classifiers or anomaly detectors, outputting leakage probabilities rather than raw concentration values, reducing the judgment burden on frontline inspection personnel. Long-term trend analysis identifies slow drifts in sensor response curves, distinguishing between normal aging and background concentration increases caused by well chamber micro-leakage, guiding differentiated maintenance strategies: for the former, sensors are replaced according to plan; for the latter, well chamber sealing tests are prioritized. The detector's full lifecycle data, including installation location, calibration records, fault history, and environmental exposure history, constitutes the basic attributes of the facility's digital twin, supporting quantitative decisions for pipeline integrity management.

[0008] On the other hand, collaborative networking technology can be used to solve the coverage limitations and reliability bottlenecks of single-point detection. Well-type detectors are interconnected using low-power wide-area networks or mesh self-organizing networks to form a distributed sensing array. In a star topology, the detector acts as a terminal node, communicating with the wellhead aggregation gateway. The gateway transmits data back to the central platform via a cellular network or fiber optic cable, suitable for municipal pipeline network scenarios with dispersed well locations and large spacing. In a mesh topology, the detector functions as both a terminal and a router, extending communication distance through multi-hop relays and bypassing signal blind spots caused by manhole cover shielding or building obstructions, suitable for densely packed well chambers and complex structures in industrial plants or sites. The network protocol is optimized for the channel characteristics of underground environments, using the Sub-GHz band to penetrate soil and concrete, adaptive power control to balance link budget and battery life, time-division multiple access or code-division multiple access mechanisms to avoid co-channel interference, and confirmation retransmission and redundant routing to ensure the reachability of critical alarms.

[0009] Time synchronization and positioning coordination are fundamental capabilities for networked applications. Detectors receive GNSS or Network Time Protocol (NTP) synchronization via a gateway, with microsecond-level synchronization accuracy supporting distributed acoustic or vibration detection: negative pressure waves caused by leaks propagate along the pipe wall at hundreds of meters per second; the time difference of pressure abrupt changes recorded by adjacent detectors can be used to triangulate leak points, achieving accuracy superior to coordinate positioning of a single manhole. Low-precision positioning schemes utilize received signal strength or time difference of arrival to estimate relative distances, constructing an inter-manhole topology map to assist in the verification and completion of pipeline network GIS data, and identifying manholes with missing maps or offset locations. The collaborative calibration function allows calibration coefficients to be broadcast to surrounding nodes via a network protocol, using a high-precision reference detector as a reference, reducing the workload of manual calibration for each manhole, and is particularly suitable for batch maintenance after large-scale deployment.

[0010] Fault tolerance and dynamic reconfiguration ensure continuous network availability. When a single detector fails or communication is interrupted, surrounding nodes automatically adjust their routing tables, maintaining data backhaul through alternative paths. Critical well chambers can be configured with dual-channel redundancy or dual-detector mutual backup. The platform monitors network connectivity and node health in real time, identifying isolated subnets or data stagnation areas, triggering on-site inspections or remote diagnostics. Edge collaborative computing offloads some analysis tasks to gateways or high-performance nodes; for example, leak location algorithms are executed at the gateway, with only the results reported to the center, reducing backhaul bandwidth and center load. In emergency mode, nodes can directly exchange alarm information, triggering local linkages such as adjacent well chambers synchronously increasing sampling frequency, activating backup ventilation, or shutting down devices, forming an autonomous loop with millisecond-level response, compensating for the shortcomings of wide-area backhaul latency in emergency response. The networking protocol reserves expansion interfaces to support future access to new sensing modalities such as distributed fiber optics and UAV-borne equipment, achieving three-dimensional perception fusion of underground, ground, and airborne systems.

[0011] During the research and development process, the applicant discovered that existing technologies for collaborative networking of well-type detectors are relatively simple, often employing simple distributed node networking or simply adding individual control or system nodes without considering node reuse to enhance system data collaboration. Furthermore, existing technologies lack subset-oriented data fusion, resulting in insufficient data orderliness and logic, hindering the effective transmission of fused data.

[0012] This invention proposes a collaborative networking and data fusion system and method for well-type detectors. The system divides the well-type detectors into multiple information transmission chains with different layouts. On one hand, it combines fixed source nodes to build a multi-point detection and mining information acquisition data structure. On the other hand, it reuses a specific number of well-type detectors, configuring links when constructing the collaborative networking organization network for well-type detectors to achieve multi-configuration and multi-network type merging support. Simultaneously, the system provides linkage support for fixed source nodes and multiple mobile well-type detectors based on a multi-chain collaborative networking mode with cross-link data chains. Furthermore, the system performs multi-chain well data fusion and security protection based on a multi-chain collaborative information transmission mechanism, providing a data fusion mechanism of cross-chain information fusion + source node merging mode, effectively improving the collaborative networking performance and data acquisition efficiency of well-type detectors. Summary of the Invention

[0013] The present invention aims to provide a collaborative networking and data fusion system for well-type detectors that is superior to existing technologies.

[0014] To achieve the above objectives, the technical solution of the present invention is as follows: A collaborative networking and data fusion system for well-type detectors, the system being applied to gas wells, comprising at least: The first well-type detector transmission chain, based on the layout of the first well-type detector, transmits the first type of well detection and inspection data; To further differentiate itself from existing technologies, as a preferred embodiment that can be stacked, the first well-type detector layout includes multiple fixed source nodes. Each fixed source node is fixed at a specific location or range within the well and provides secondary relay and access functions for multiple nearby mobile well-type detectors Fi. The fixed source nodes can be managed and configured by the system.

[0015] The second well-type detector transmission chain transmits second-type well detection and inspection data based on the layout of the second well-type detector. To further differentiate itself from existing technologies, as a preferred embodiment that can be overlaid, the second well-type detector layout includes selecting or setting some of the movable well-type detectors Fi from multiple movable well-type detectors Fi as multiplexed movable well-type detectors Si, used to simulate system management nodes, and used to receive node collaborative networking configuration when establishing a self-organizing network for the corresponding fixed source nodes, and to perform configuration updates based on the second well-type detector transmission chain. The node collaborative networking configuration includes the configuration parameters when the fixed source nodes establish a self-organizing network, and the configuration parameters saved by the fixed source nodes after the last configuration update. The second well-type detector layout also enhances the display of the multiplexed movable well-type detectors Si in the system's three-dimensional digital twin model, for example, by presenting them as red flashing dots, highlighted marks, or added prompt text.

[0016] Collaborative networking cross-data links, cross-connected transmission links, and provide reverse configuration and digital twin layout information security judgment and enhanced display functions; The data fusion module performs data fusion on the gas well detection data structure; The risk warning sub-network performs risk warnings based on the warning structure and data fusion structure reported by the data fusion module.

[0017] Preferably, the first well-type detector transmission chain, based on the first well-type detector layout, transmits first type well detection and inspection data, including at least: The first well-type detector transmission chain includes a first well-type detector set, which includes multiple fixed source nodes and multiple mobile well-type detectors Fi, where i is the ordinal number. The multiple fixed source nodes move within a specific well positioning range, and the multiple mobile well-type detectors Fi perform inspection data detection and collection, acquire gas well detection data structure STRUi, where i is the ordinal number, which is also the first type of well detection and inspection data, and report the positioning information and gas well detection data structure STRUi to the nearest fixed source node. The fixed source node periodically records the three-dimensional digital twin positioning layout of the multiple mobile well-type detectors Fi, transmits it to the first well-type detector transmission chain, and reports the collected gas well detection data structure STRUi to the data fusion module. The portable well-type detector Fi has a first detector ID and a multiplexed detector ID. The first detector ID and the multiplexed detector ID use different codes and have different numbers of bits. The multiplexed detector ID of the portable well-type detector Fi is 0x00 or 0x01.

[0018] Preferably, the second well-type detector transmission chain, based on the second well-type detector layout, transmits second-type well detection and inspection data, including at least: The second well-type detector transmission chain includes a second well-type detector set, which includes multiplexed mobile well-type detectors Si. The second well-type detector transmission chain detects all detectable mobile well-type detectors Fi, obtains their multiplexed detector IDs, and assigns the detector with multiplexed detector ID 0x01 to the multiplexed mobile well-type detector Si, where i is the ordinal number. Transmission signaling enables the multiplexed mobile well-type detector Si to establish a strong detection connection with the nearest fixed source node. The strong detection connection simulates the corresponding multiplexed mobile well-type detector Si as a system management node and receives node collaborative networking configuration, i.e., second-type well detection and inspection data, from the fixed source node at the other end, and transmits it to the second well-type detector transmission chain. The node collaborative networking configuration is used when establishing a self-organizing network with the mobile well-type detectors Fi.

[0019] Preferably, the collaborative networking cross-data link, which cross-connects the transmission link and provides reverse configuration and digital twin layout information security determination and enhanced display functions, includes at least: The collaborative networking cross-connect data link cross-connects the first well-type detector transmission link and the second well-type detector transmission link. Based on the configuration update information dynamically issued by the system, the collaborative networking configuration of the second well-type detector transmission link is updated and reverse-configured to each fixed source node. Based on the three-dimensional digital twin positioning layout of the first well-type detector transmission link, it is confirmed whether the positioning of each detector is deviated, and the multiplexed movable well-type detector Si is enhanced and labeled in the three-dimensional digital twin model of the system.

[0020] Preferably, the data fusion module performs data fusion on the gas well detection data structure and includes at least: The data fusion module receives a gas well detection data structure STRUi, which includes at least: The first detector ID and the multiplexed detector ID of the portable well-type detector Fi, which serves as the data acquisition source; Report the fixed source node ID, which is used to identify the specific fixed source node through which the report is passed; The gas transmission safety detection field includes universal parameters and time-varying curves for gas transmission. The alarm field takes a value of 0 or 1. When the value is 1, the gas well detection data structure STRUi is forced to immediately connect to the fixed source node and send an alarm, indicating that the detection point has issued a safety alarm and system intervention is required. The data fusion module performs alarm reporting and data fusion based on the STRUi data structure from multiple gas well detection systems. The data fusion module first identifies the alarm fields of each gas well detection data structure STRUi. Data structures with an alarm field of 1 are used as early warning structures and immediately reported to the risk warning sub-network. Data structures with an alarm field of 0 are fused. For multiple gas well detection data structures STRUi reported from the same fixed source node, the gas safety transmission field is packaged using a specific data connection method. The ID of the fixed source node replaces the first detector ID and the multiplexed detector ID of each mobile well-type detector Fi that serves as the data acquisition source. The alarm fields are removed, and the data is combined into a fused data structure and transmitted to the risk warning sub-network.

[0021] Preferably, the risk warning sub-network performs risk warning based on the warning structure and data fusion structure reported by the data fusion module, including at least: The risk warning subnetwork confirms the first detector ID of the mobile well-type detector Fi, which serves as the data acquisition source, in the warning structure. It then displays an alarm message for the first detector ID to the control center and queries the data fusion structure belonging to the same reporting fixed source node ID. It checks each gas safety transmission field in the structure and determines whether there is a gas transmission flow rate value in the time-varying curve that exceeds the system's preset risk association threshold. If so, it simultaneously displays an associated alarm message for the first detector ID associated with the gas safety transmission field to the control center.

[0022] Preferably, the universal parameters for gas transmission include at least point pressure, temperature, and humidity; the time-varying curve is information related to the change of gas transmission flow rate over time.

[0023] Preferably, the packaging of the gas safety transmission field in a specific data connection method can be as follows: among multiple gas safety transmission fields, they can be packaged in the form of the first detector ID of the acquisition source of each gas well detection data structure STRUi + the gas safety transmission field of the gas well detection data structure STRUi + the interval field in sequence.

[0024] Preferably, the alarm prompts and associated alarm prompts include preset alarm sound and light and information output modes.

[0025] Simultaneously, this invention also proposes a method for collaborative networking and data fusion of well-type detectors applied to a collaborative networking and data fusion system for well-type detectors as described in any of the above claims, characterized by comprising: Step 1: Using the first type of well detector transmission chain, based on the layout of the first type of well detector, transmit the first type of well detection and inspection data; Step 2: Using the second type of well detector transmission chain, based on the layout of the second type of well detector, transmit the second type of well detection and inspection data; Step 3: Employ collaborative networking cross-data links to cross-connect transmission links and provide reverse configuration and digital twin layout information security assessment and enhanced display functions; Step 4: Perform data fusion on the gas well detection data structure using the data fusion module; Step 5: The risk warning sub-network executes risk warning based on the warning structure and data fusion structure reported by the data fusion module.

[0026] Simultaneously, the present invention also proposes a computer-readable storage medium storing a program for electronic data processing, wherein the program causes a terminal to perform corresponding functions of the collaborative networking and data fusion system of the well-type detector as described in any of the preceding claims.

[0027] At the same time, the present invention also proposes a computer program product, which includes computer instructions that, when executed by a processor, perform the corresponding functions of the collaborative networking and data fusion system of the well-type detector as described above.

[0028] This invention proposes a collaborative networking and data fusion system and method for well-type detectors. The system divides the well-type detectors into multiple information transmission chains with different layouts. On one hand, it combines fixed source nodes to build a multi-point detection and mining information acquisition data structure. On the other hand, it reuses a specific number of well-type detectors, configuring links when constructing the collaborative networking organization network for well-type detectors to achieve multi-configuration and multi-network type merging support. Simultaneously, the system provides linkage support for fixed source nodes and multiple mobile well-type detectors based on a multi-chain collaborative networking mode with cross-link data chains. Furthermore, the system performs multi-chain well data fusion and security protection based on a multi-chain collaborative information transmission mechanism, providing a data fusion mechanism of cross-chain information fusion + source node merging mode, effectively improving the collaborative networking performance and data acquisition efficiency of well-type detectors. Attached Figure Description

[0029] Figure 1 This is a basic example diagram of the collaborative networking and data fusion system of the well-type detector shown in this invention; Figure 2 This is a basic example diagram of the transmission chain of the first well-type detector in the collaborative networking and data fusion system of well-type detectors shown in this invention. Figure 3 This is an example diagram of the transmission chain of the second well-type detector in the collaborative networking and data fusion system of the well-type detectors claimed in this invention. Figure 4 This is one embodiment of the interconnection between the data fusion module and the risk warning subnetwork in the collaborative networking and data fusion system of the well-type detector claimed in this invention; Figure 5 This is one of the specific embodiments of the collaborative networking and data fusion method for well-type detectors that is claimed in this invention. Detailed Implementation

[0030] The following describes in detail several embodiments and beneficial effects of the collaborative networking and data fusion system and method for well-type detectors claimed in this invention, in order to facilitate a more detailed examination and breakdown of this invention.

[0031] To better understand the technical solution of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0032] It should be understood that the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0033] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0034] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0035] It should be understood that although the terms "first," "second," etc., may be used to describe the methods and corresponding apparatus in the embodiments of the present invention, these keywords should not be limited to these terms. These terms are only used to distinguish keywords from each other. For example, without departing from the scope of the embodiments of the present invention, "first well-type detector transmission chain," "first detector ID," etc., may also be referred to as "second well-type detector transmission chain," "second detector ID," etc., and "second well-type detector transmission chain," "second detector ID," etc., may also be referred to as "first well-type detector transmission chain," "first detector ID."

[0036] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0037] As per the instruction manual Figure 1 -Appendix Figure 4 The diagram shown is a basic example of a collaborative networking and data fusion system for a well-type detector according to the present invention. As a preferred embodiment that can be superimposed, each node or module can preferably interconnect with other nodes or modules for data and command transmission. Of course, as another preferred embodiment that can be superimposed, some nodes may not have interconnection with some other nodes, or may be allowed to disable or enable interconnection with other nodes.

[0038] As per the instruction manual Figure 1 As shown, Figure 1 This is a basic example diagram of a collaborative networking and data fusion system for well-type detectors as shown in this invention. The collaborative networking and data fusion system for well-type detectors claimed in this invention, applied to gas pipeline wells, includes at least: The first well-type detector transmission chain, based on the layout of the first well-type detector, transmits the first type of well detection and inspection data; The second well-type detector transmission chain transmits second-type well detection and inspection data based on the layout of the second well-type detector. Collaborative networking cross-data links, cross-connected transmission links, and provide reverse configuration and digital twin layout information security judgment and enhanced display functions; The data fusion module performs data fusion on the gas well detection data structure; The risk warning sub-network performs risk warnings based on the warning structure and data fusion structure reported by the data fusion module.

[0039] As per the instruction manual Figure 2 As shown, Figure 2 This is a basic example diagram of a first well-type detector transmission chain in the collaborative networking and data fusion system of well-type detectors shown in this invention. As a preferred embodiment that can be superimposed, the first well-type detector transmission chain, based on the layout of the first well-type detectors, transmits first type of well detection and inspection data, including at least: The first well-type detector transmission chain includes a first well-type detector set, which includes multiple fixed source nodes and multiple mobile well-type detectors Fi, where i is the ordinal number. The multiple fixed source nodes move within a specific well positioning range, and the multiple mobile well-type detectors Fi perform inspection data detection and collection, acquire gas well detection data structure STRUi, where i is the ordinal number, which is also the first type of well detection and inspection data, and report the positioning information and gas well detection data structure STRUi to the nearest fixed source node. The fixed source node periodically records the three-dimensional digital twin positioning layout of the multiple mobile well-type detectors Fi, transmits it to the first well-type detector transmission chain, and reports the collected gas well detection data structure STRUi to the data fusion module. The portable well-type detector Fi has a first detector ID and a multiplexed detector ID. The first detector ID and the multiplexed detector ID use different codes and have different numbers of bits. The multiplexed detector ID of the portable well-type detector Fi is 0x00 or 0x01.

[0040] As per the instruction manual Figure 3 As shown, Figure 3This is an example diagram of a second well-type detector transmission chain in the collaborative networking and data fusion system of well-type detectors claimed in this invention. As a preferred, superimposed embodiment, the second well-type detector transmission chain, based on the layout of the second well-type detectors, transmits second-type well detection and inspection data, including at least: The second well-type detector transmission chain includes a second well-type detector set, which includes multiplexed mobile well-type detectors Si. The second well-type detector transmission chain detects all detectable mobile well-type detectors Fi, obtains their multiplexed detector IDs, and assigns the detector with multiplexed detector ID 0x01 to the multiplexed mobile well-type detector Si, where i is the ordinal number. Transmission signaling enables the multiplexed mobile well-type detector Si to establish a strong detection connection with the nearest fixed source node. The strong detection connection simulates the corresponding multiplexed mobile well-type detector Si as a system management node and receives node collaborative networking configuration, i.e., second-type well detection and inspection data, from the fixed source node at the other end, and transmits it to the second well-type detector transmission chain. The node collaborative networking configuration is used when establishing a self-organizing network with the mobile well-type detectors Fi.

[0041] As a preferred embodiment that can be superimposed, the collaborative networking cross-data link, which cross-connects the transmission link and provides reverse configuration and digital twin layout information security determination and enhanced display functions, includes at least: The collaborative networking cross-connect data link cross-connects the first well-type detector transmission link and the second well-type detector transmission link. Based on the configuration update information dynamically issued by the system, the collaborative networking configuration of the second well-type detector transmission link is updated and reverse-configured to each fixed source node. Based on the three-dimensional digital twin positioning layout of the first well-type detector transmission link, it is confirmed whether the positioning of each detector is deviated, and the multiplexed movable well-type detector Si is enhanced and labeled in the three-dimensional digital twin model of the system.

[0042] As per the instruction manual Figure 4 As shown, Figure 4 This is one embodiment of the interconnection between the data fusion module and the risk warning subnetwork in the collaborative networking and data fusion system of the well-type detector claimed in this invention. As a preferred, superimposed embodiment, the data fusion module performs data fusion on the gas well detection data structure and includes at least: The data fusion module receives a gas well detection data structure STRUi, which includes at least: The first detector ID and the multiplexed detector ID of the portable well-type detector Fi, which serves as the data acquisition source; Report the fixed source node ID, which is used to identify the specific fixed source node through which the report is passed; The gas transmission safety detection field includes universal parameters and time-varying curves for gas transmission. The alarm field takes a value of 0 or 1. When the value is 1, the gas well detection data structure STRUi is forced to immediately connect to the fixed source node and send an alarm, indicating that the detection point has issued a safety alarm and system intervention is required. The data fusion module performs alarm reporting and data fusion based on the STRUi data structure from multiple gas well detection systems. The data fusion module first identifies the alarm fields of each gas well detection data structure STRUi. Data structures with an alarm field of 1 are used as early warning structures and immediately reported to the risk warning sub-network. Data structures with an alarm field of 0 are fused. For multiple gas well detection data structures STRUi reported from the same fixed source node, the gas safety transmission field is packaged using a specific data connection method. The ID of the fixed source node replaces the first detector ID and the multiplexed detector ID of each mobile well-type detector Fi that serves as the data acquisition source. The alarm fields are removed, and the data is combined into a fused data structure and transmitted to the risk warning sub-network.

[0043] As a preferred embodiment that can be superimposed, the risk warning sub-network performs risk warning based on the warning structure and data fusion structure reported by the data fusion module, including at least: The risk warning subnetwork confirms the first detector ID of the mobile well-type detector Fi, which serves as the data acquisition source, in the warning structure. It then displays an alarm message for the first detector ID to the control center and queries the data fusion structure belonging to the same reporting fixed source node ID. It checks each gas safety transmission field in the structure and determines whether there is a gas transmission flow rate value in the time-varying curve that exceeds the system's preset risk association threshold. If so, it simultaneously displays an associated alarm message for the first detector ID associated with the gas safety transmission field to the control center.

[0044] As a preferred embodiment that can be superimposed, the universal parameters for gas transmission include at least point pressure, temperature, and humidity; the time-varying curve is information related to the change of gas transmission flow rate over time.

[0045] As a preferred embodiment that can be superimposed, the packaging of the gas safety transmission field in a specific data connection method can be as follows: among multiple gas safety transmission fields, they can be packaged in the form of the first detector ID of the acquisition source of each gas well detection data structure STRUi + the gas safety transmission field of the gas well detection data structure STRUi + the interval field in sequence.

[0046] To further differentiate it from existing technologies, as a preferred embodiment that allows for stacking, the multiple gas detection safety transmission fields are packaged in the following order: the first detector ID of the acquisition source of each gas well detection data structure STRUi + the gas detection safety transmission field of the gas well detection data structure STRUi + an interval field. Specifically, for multiple gas well detection data structures STRUi reported via the same fixed source node, they are packaged in ascending order of ordinal number i in the following order: the first detector ID of the acquisition source of the gas well detection data structure STRUi + the gas detection safety transmission field of the gas well detection data structure STRUi + an interval field + the first detector ID of the acquisition source of the gas well detection data structure STRUi+1 + the gas detection safety transmission field of the gas well detection data structure STRUi+1 + an interval field... where the interval field can be a system-defined or preset distinguishing field, for example, it can be 0x0000A or 0x00002, which is not limited or elaborated here.

[0047] As a preferred embodiment where alarms can be superimposed, the alarm prompts and associated alarm prompts include preset alarm sound and light and information output modes.

[0048] At the same time, as per the instruction manual Figure 5 As shown, Figure 5 This is one specific embodiment of the collaborative networking and data fusion method for well-type detectors claimed in this invention. This invention also proposes a collaborative networking and data fusion method for well-type detectors applied to a collaborative networking and data fusion system for well-type detectors as described in any of the above claims, characterized by comprising: Step S102: Using the first well-type detector transmission chain based on the layout of the first well-type detector, transmit the first type of well detection and inspection data; Step S104: Using the second well-type detector transmission chain, based on the layout of the second well-type detector, transmit the second type of well detection and inspection data; Step S106: Employ a collaborative networking cross-data link to cross-connect the transmission link and provide reverse configuration and digital twin layout information security judgment and enhanced display functions; Step S108: Use the data fusion module to perform data fusion on the gas well detection data structure; Step S110: The risk warning sub-network performs risk warning based on the warning structure and data fusion structure reported by the data fusion module.

[0049] Simultaneously, the present invention also proposes a computer-readable storage medium storing a program for electronic data processing, wherein the program causes a terminal to perform corresponding functions of the collaborative networking and data fusion system of the well-type detector as described in any of the preceding claims.

[0050] At the same time, the present invention also proposes a computer program product, which includes computer instructions that, when executed by a processor, perform the corresponding functions of the collaborative networking and data fusion system of the well-type detector as described above.

[0051] This invention proposes a collaborative networking and data fusion system and method for well-type detectors. The system divides the well-type detectors into multiple information transmission chains with different layouts. On one hand, it combines fixed source nodes to build a multi-point detection and mining information acquisition data structure. On the other hand, it reuses a specific number of well-type detectors, configuring links when constructing the collaborative networking organization network for well-type detectors to achieve multi-configuration and multi-network type merging support. Simultaneously, the system provides linkage support for fixed source nodes and multiple mobile well-type detectors based on a multi-chain collaborative networking mode with cross-link data chains. Furthermore, the system performs multi-chain well data fusion and security protection based on a multi-chain collaborative information transmission mechanism, providing a data fusion mechanism of cross-chain information fusion + source node merging mode, effectively improving the collaborative networking performance and data acquisition efficiency of well-type detectors.

[0052] In all the above embodiments, in order to achieve certain special data transmission and read / write function requirements, the above methods and corresponding devices can be expanded by adding devices, modules, components, hardware, pin connections or memory, processor differences during operation.

[0053] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the methods, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0054] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of method steps is only a logical or functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, apparatuses, or units, and may be electrical, mechanical, or other forms.

[0055] The units described as separate components of the method and apparatus may or may not be logically or physically separate, and may not be physical units. That is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0056] Furthermore, the method steps and their implementations, as well as the functional units, in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit described above can be implemented in hardware or in the form of hardware plus software functional units.

[0057] The aforementioned methods and apparatus can be implemented as integrated units in the form of software functional units, which can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), NVRAM, magnetic disks, or optical disks.

[0058] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0059] It should be noted that the above embodiments are only used to more clearly explain and illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A collaborative networking and data fusion system for well-type detectors, the system being applied to gas wells, comprising at least: The first well-type detector transmission chain, based on the layout of the first well-type detector, transmits the first type of well detection and inspection data; The second well-type detector transmission chain transmits second-type well detection and inspection data based on the layout of the second well-type detector. Collaborative networking cross-data links, cross-connected transmission links, and provide reverse configuration and digital twin layout information security judgment and enhanced display functions; The data fusion module performs data fusion on the gas well detection data structure; The risk warning sub-network performs risk warnings based on the warning structure and data fusion structure reported by the data fusion module.

2. The collaborative networking and data fusion system for well-type detectors as described in claim 1, characterized in that, The first well-type detector transmission chain, based on the layout of the first well-type detector, transmits first-type well detection and inspection data, including at least: The first well-type detector transmission chain includes a first well-type detector set, which includes multiple fixed source nodes and multiple mobile well-type detectors Fi, where i is the ordinal number. The multiple fixed source nodes move within a specific well positioning range, and the multiple mobile well-type detectors Fi perform inspection data detection and collection, acquire gas well detection data structure STRUi, where i is the ordinal number, which is also the first type of well detection and inspection data, and report the positioning information and gas well detection data structure STRUi to the nearest fixed source node. The fixed source node periodically records the three-dimensional digital twin positioning layout of the multiple mobile well-type detectors Fi, transmits it to the first well-type detector transmission chain, and reports the collected gas well detection data structure STRUi to the data fusion module. The portable well-type detector Fi has a first detector ID and a multiplexed detector ID. The first detector ID and the multiplexed detector ID use different codes and have different numbers of bits. The multiplexed detector ID of the portable well-type detector Fi is 0x00 or 0x01.

3. The collaborative networking and data fusion system for well-type detectors as described in claim 1, characterized in that, The second well-type detector transmission chain, based on the second well-type detector layout, transmits second-type well detection and inspection data, including at least: The second well-type detector transmission chain includes a second well-type detector set, which includes multiplexed mobile well-type detectors Si. The second well-type detector transmission chain detects all detectable mobile well-type detectors Fi, obtains their multiplexed detector IDs, and assigns the detector with multiplexed detector ID 0x01 to the multiplexed mobile well-type detector Si, where i is the ordinal number. Transmission signaling enables the multiplexed mobile well-type detector Si to establish a strong detection connection with the nearest fixed source node. The strong detection connection simulates the corresponding multiplexed mobile well-type detector Si as a system management node and receives node collaborative networking configuration, i.e., second-type well detection and inspection data, from the fixed source node at the other end, and transmits it to the second well-type detector transmission chain. The node collaborative networking configuration is used when establishing a self-organizing network with the mobile well-type detectors Fi.

4. The collaborative networking and data fusion system for well-type detectors as described in claim 3, characterized in that, The collaborative networking cross-data link, which cross-connects the transmission link and provides reverse configuration and digital twin layout information security determination and enhanced display functions, includes at least: The collaborative networking cross-connect data link cross-connects the first well-type detector transmission link and the second well-type detector transmission link. Based on the configuration update information dynamically issued by the system, the collaborative networking configuration of the second well-type detector transmission link is updated and reverse-configured to each fixed source node. Based on the three-dimensional digital twin positioning layout of the first well-type detector transmission link, it is confirmed whether the positioning of each detector is deviated, and the multiplexed movable well-type detector Si is enhanced and labeled in the three-dimensional digital twin model of the system.

5. The collaborative networking and data fusion system for well-type detectors as described in claim 4, characterized in that, The data fusion module performs data fusion on the gas well detection data structure and includes at least: The data fusion module receives a gas well detection data structure STRUi, which includes at least: The first detector ID and the multiplexed detector ID of the portable well-type detector Fi, which serves as the data acquisition source; Report the fixed source node ID, which is used to identify the specific fixed source node through which the report is passed; The gas transmission safety detection field includes universal parameters and time-varying curves for gas transmission. The alarm field takes a value of 0 or 1. When the value is 1, the gas well detection data structure STRUi is forced to immediately connect to the fixed source node and send an alarm, indicating that the detection point has issued a safety alarm and system intervention is required. The data fusion module performs alarm reporting and data fusion based on the STRUi data structure from multiple gas well detection systems. The data fusion module first identifies the alarm fields of each gas well detection data structure STRUi. Data structures with an alarm field of 1 are used as early warning structures and immediately reported to the risk warning sub-network. Data structures with an alarm field of 0 are fused. For multiple gas well detection data structures STRUi reported from the same fixed source node, the gas safety transmission field is packaged using a specific data connection method. The ID of the fixed source node replaces the first detector ID and the multiplexed detector ID of each mobile well-type detector Fi that serves as the data acquisition source. The alarm fields are removed, and the data is combined into a fused data structure and transmitted to the risk warning sub-network.

6. The collaborative networking and data fusion system for well-type detectors as described in claim 5, characterized in that, The risk warning subnetwork performs risk warnings based on the warning structure and data fusion structure reported by the data fusion module, and includes at least: The risk warning subnetwork confirms the first detector ID of the mobile well-type detector Fi, which serves as the data acquisition source, in the warning structure. It then displays an alarm message for the first detector ID to the control center and queries the data fusion structure belonging to the same reporting fixed source node ID. It checks each gas safety transmission field in the structure and determines whether there is a gas transmission flow rate value in the time-varying curve that exceeds the system's preset risk association threshold. If so, it simultaneously displays an associated alarm message for the first detector ID associated with the gas safety transmission field to the control center.

7. The collaborative networking and data fusion system for well-type detectors as described in claim 5, characterized in that: The general parameters for gas transmission include at least point pressure, temperature, and humidity; The time-varying curve represents information related to the change of gas transmission flow rate over time.

8. The collaborative networking and data fusion system for well-type detectors as described in claim 7, characterized in that: The field for detecting gas safety transmission using a specific data connection method can be: The data is packaged in sequence between multiple gas detection safety transmission fields, following the format of the first detector ID of the acquisition source of each gas well detection data structure STRUi + the gas detection safety transmission field of the gas well detection data structure STRUi + the interval field.

9. The collaborative networking and data fusion system for well-type detectors as described in claim 6, characterized in that: The alarm prompts and associated alarm prompts include the system's preset alarm sound and light and information output modes.

10. A method for collaborative networking and data fusion of well-type detectors applied to a collaborative networking and data fusion system of well-type detectors as described in any one of claims 1-9, characterized in that... include: Step 1: Using the first type of well detector transmission chain, based on the layout of the first type of well detector, transmit the first type of well detection and inspection data; Step 2: Using the second type of well detector transmission chain, based on the layout of the second type of well detector, transmit the second type of well detection and inspection data; Step 3: Employ collaborative networking cross-data links to cross-connect transmission links and provide reverse configuration and digital twin layout information security assessment and enhanced display functions; Step 4: Perform data fusion on the gas well detection data structure using the data fusion module; Step 5: The risk warning sub-network executes risk warning based on the warning structure and data fusion structure reported by the data fusion module.

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