Comprehensive monitoring method and system based on optical cable sensor network

Abstract

The invention discloses a comprehensive monitoring method and system based on an optical cable sensor network, and belongs to the technical field of underground engineering monitoring, and the system comprises a wireless sensor subsystem which is used for collecting environment parameter information; the wireless transmission module is used for transmitting the environment parameter information back to a receiving node of the optical cable in a wireless signal mode; the edge computing node is used for analyzing and preprocessing the received environment parameter information in real time by adopting a self-adaptive weighted fusion algorithm; and the data processing module is used for carrying out fusion analysis on the preprocessed environment parameter information to realize monitoring and early warning on the underground tunnel space. According to the invention, various data types in the tunnel environment can be comprehensively collected, analysis is carried out through a fusion algorithm and machine learning, and the safety monitoring level of the tunnel is effectively improved.

Description

Background Art

[0002] Existing underground tunnel monitoring systems rely on only one type of sensor, such as temperature sensors, humidity sensors or stress sensors. This single sensor network can only obtain limited environmental information and cannot fully reflect the actual conditions of the tunnel; due to the single type of sensor, the types of data collected are also limited. This results in the monitoring system being unable to obtain real-time environmental conditions in underground tunnels, such as air quality, structural stress, displacement changes, etc.; for those monitoring systems that have deployed multiple sensors, their data fusion processing capabilities are still limited. Data fusion technology can integrate and analyze data from different sensors, thereby improving the accuracy and reliability of monitoring results. However, the performance of existing monitoring systems in this regard is often unsatisfactory.

[0003] Due to the above reasons, traditional monitoring systems have limitations in detecting potential problems at an early stage. For example, when a small crack appears in the tunnel structure, a single type of sensor may not be able to capture the relevant information in time, thus affecting the safety and reliability of the tunnel. Traditional monitoring systems have high installation and maintenance costs, especially in tunnel environments. This is because the tunnel environment is usually harsh, which makes sensors and lines easily damaged. In addition, it is difficult to lay lines in tunnels, which increases the workload and cost of construction and maintenance. In underground tunnels, line maintenance of the monitoring system is a complex and time-consuming task. Due to the space limitations and harsh environment in the tunnel, it is difficult for maintenance personnel to complete troubleshooting and repair work in a short time, further increasing maintenance costs.

[0004] The existing underground tunnel monitoring system has many shortcomings in terms of sensor diversity, data fusion processing, early warning capability, installation and maintenance costs, etc. In order to improve the efficiency and accuracy of tunnel monitoring, these aspects need to be improved and optimized. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a comprehensive monitoring method and system based on an optical cable sensor network to solve the technical problem of multi-sensor network information collection and processing in view of the deficiencies in the above-mentioned prior art.

[0006] The present invention adopts the following technical solutions: A comprehensive monitoring system based on an optical cable sensor network comprises the following steps: Wireless sensor subsystem, used to collect environmental parameter information; A wireless transmission module transmits the environmental parameter information back to the receiving node of the optical cable via wireless signals; The edge computing node uses an adaptive weighted fusion algorithm to perform real-time analysis and preprocessing of the received environmental parameter information; The data processing module is used to integrate and analyze the pre-processed environmental parameter information to achieve monitoring and early warning of underground tunnel space.

[0007] Preferably, the wireless sensor subsystem is a sensor cluster including a temperature sensor, a humidity sensor, a gas concentration sensor, a vibration sensor, a displacement sensor and a liquid level sensor.

[0008] Preferably, each wireless sensor subsystem corresponds to a single edge computing node.

[0009] Preferably, the optical cable comprises a plurality of optical fibers.

[0010] Preferably, the edge computing node uses an adaptive weighted fusion algorithm to fuse the environmental parameter information, and the adaptive adjustment process uses the minimum mean square error as the optimization target to obtain the local optimal estimate of the underground tunnel space.

[0011] Preferably, the edge computing node is mounted on an optical cable.

[0012] Preferably, the data processing module adopts the in-network distributed real-time data fusion algorithm AWFA-DS of the DS evidence theory to fuse the local optimal estimates of the underground tunnel space obtained from multiple edge computing nodes to form a global optimal estimate of the overall state of the underground tunnel space.

[0013] Preferably, the wireless sensor subsystem is equipped with a photocell or an energy harvesting module for collecting energy from vibration or temperature difference in the tunnel.

[0014] In a second aspect, an embodiment of the present invention provides a comprehensive monitoring method based on an optical cable sensor network, comprising the following steps: S1. Lay an optical cable in the underground tunnel space along the tunnel depth direction. The optical cable contains multiple optical fibers to form a data backhaul trunk. Deploy multiple wireless sensor subsystems at key locations in the underground tunnel space. Each wireless sensor subsystem transmits the collected environmental parameter information to the optical cable node through a wireless transmission module. S2. Deploy edge computing nodes along the optical cable to receive the environmental parameter information transmitted by the wireless transmission module in real time; perform data fusion on all environmental parameter information through an adaptive weighted fusion algorithm to obtain the local optimal estimation value of the underground tunnel space by all wireless sensor subsystems; S3, the data processing module performs dimensionality reduction on the multi-dimensional data received from multiple edge computing nodes, extracts the main features of the underground tunnel space safety, obtains the global optimal solution for the tunnel, generates a tunnel safety status report, and sends a risk warning signal.

[0015] Preferably, when the edge computing node detects that the environmental parameter information fluctuates abnormally within a set time, a local alarm is triggered, and the abnormal environmental parameter information is preferentially transmitted back to the data processing module.

[0016] In a third aspect, a computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned comprehensive monitoring method based on an optical cable sensor network when executing the computer program.

[0017] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned comprehensive monitoring method based on an optical cable sensor network.

[0018] In a fifth aspect, a chip comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned comprehensive monitoring method based on an optical cable sensor network when executing the computer program.

[0019] In a sixth aspect, an embodiment of the present invention provides an electronic device, including a computer program, which, when executed by the electronic device, implements the steps of the above-mentioned comprehensive monitoring method based on an optical cable sensor network.

[0020] Compared with the prior art, the present invention has at least the following beneficial effects: A comprehensive monitoring method based on optical cable sensor network can fully obtain environmental information in the tunnel through the joint use of multiple types of sensors. The sensor data is fused at the data level and decision level through edge computing and fusion processing terminals to extract the main features, reduce data redundancy, and improve the system's computing efficiency and data fusion reliability; the combination of wireless sensor subsystem and optical cable transmission reduces the complexity of wired laying and improves the flexibility of installation and maintenance.

[0021] Furthermore, different types of sensors detect different parameters of the tunnel environment. Temperature sensors and humidity sensors are used to monitor the temperature and humidity conditions in the tunnel, gas concentration sensors detect the presence of harmful gases, vibration sensors sense geological or structural activities in the tunnel, displacement sensors detect structural displacement or deformation, and liquid level sensors monitor potential water level rise or leakage problems. The diverse sensor cluster provides a comprehensive perception of the tunnel status, ensuring the comprehensiveness and diversity of the monitoring data.

[0022] Furthermore, each wireless sensor subsystem corresponds to an independent edge computing node to achieve on-site data processing. This distributed architecture significantly shortens the time from sensor acquisition to analysis and processing, and improves the real-time response of the system. The edge computing node is close to the sensor subsystem and can process data with minimal transmission delay, ensuring rapid anomaly detection and early warning.

[0023] Furthermore, the edge computing node uses an adaptive weighted fusion algorithm and sets the environmental parameter information fusion with the minimum mean square error as the optimization goal, aiming to improve the accuracy of data processing and system performance. By dynamically adjusting the weights, the algorithm can effectively filter noise and abnormal data, adapt to environmental changes in real time, and provide more reliable local optimal estimates.

[0024] Furthermore, the data processing module uses the AWFA-DS algorithm, a real-time data fusion algorithm distributed in the network based on the DS evidence theory, to fuse the local optimal estimates of the underground tunnel space obtained from multiple edge computing nodes, aiming to provide an accurate global estimate of the overall state of the tunnel. The data processing module can comprehensively analyze and fuse the local optimal estimates of multiple edge computing nodes to form a global optimal estimate of the entire underground tunnel space. This design handles multi-source uncertainty and data conflicts through real-time processing and adaptive weighted fusion. By fusing data from different nodes, it makes judgments in a way that minimizes uncertainty when faced with inconsistent or conflicting data, enhances the system's fault tolerance and stability, and achieves rapid response and accurate early warning, thereby ensuring safe monitoring of underground tunnels.

[0025] A comprehensive monitoring method based on optical cable sensor networks aims to improve the comprehensiveness, real-timeness and accuracy of tunnel monitoring through distributed architecture and real-time data processing. The design and optimization of each step ensures the efficient collection, fusion and analysis of monitoring data, forms a global optimal estimate of the overall state of the tunnel, supports rapid early warning and safety prevention and control, and ensures the stable operation of the tunnel and the safety of personnel.

[0026] It can be understood that the beneficial effects of the second to sixth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0027] In summary, the present invention can efficiently collect and transmit a variety of environmental data, and comprehensively process the data through a fusion algorithm to achieve more intelligent and comprehensive monitoring.

[0028] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1This is a schematic diagram of the structure of an optical cable according to an embodiment of the present invention; Figure 2 The system fusion algorithm model of the present invention; Figure 3 A schematic diagram of a computer device provided by an embodiment of the present invention; Figure 4 The block diagram of a chip provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0032] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0033] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0034] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0035] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0036] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0037] The present invention provides a comprehensive monitoring system based on an optical cable sensor network. The optical cable is laid in an underground tunnel. By mounting multiple edge computing nodes and placing multiple wireless sensor subsystems, the comprehensive monitoring of the internal environment of the tunnel is realized. Specifically, the system includes: Wireless sensor subsystem, used to collect environmental parameter information inside the tunnel; The wireless sensor subsystem includes temperature sensors, humidity sensors, gas concentration sensors (such as CO and CO2), vibration sensors, displacement sensors and liquid level sensors. Multiple wireless sensor subsystems correspond to a single edge computing node.

[0038] Among them, the wireless sensor network subsystem is connected to the optical cable receiving node through a low-power wireless transmission module, which reduces the complexity of wired laying and makes the installation and maintenance of the sensor more flexible and convenient.

[0039] A wireless transmission module transmits the tunnel internal environment parameter information collected by multiple wireless sensor subsystems back to the receiving node of the optical cable through wireless signals; The optical cable includes multiple optical fibers, which are used to transmit the internal environment parameter information of the tunnel collected by the wireless sensor subsystem to the edge computing node.

[0040] The edge computing node is used to receive the tunnel internal environment parameter information received by the optical cable receiving node; The edge computing node is directly mounted on the optical cable and includes a data processing unit and a memory module, which can perform real-time analysis and preliminary pre-processing of sensor data near the data collection point.

[0041] Data processing unit, used for real-time analysis and preliminary preprocessing of received sensor data, whose functions include data filtering and denoising, preliminary data fusion, real-time analysis, local early warning and data transmission preparation, so as to improve the accuracy and response speed of the monitoring system; The memory module is used to store sensor data and analysis results, and supports temporary storage and call of the data processing unit during the processing process. Its functions include caching real-time received data, saving processed warning information, and storing intermediate data and historical records required for algorithm operation, so as to improve efficiency and response speed during data analysis and preprocessing.

[0042] The edge computing node uses an adaptive weighted fusion algorithm to perform preliminary fusion of sensor data. This adaptive adjustment process uses the minimum mean square error (MSE) as the optimization target to ensure the optimality of the fusion result and obtain the local optimal solution.

[0043] Specifically, a single sensor cluster carries data and uses an adaptive weighted fusion algorithm to fuse the remaining sensor data; a weight is assigned to the measurement value of each sensor, and the estimation of the tunnel warning situation by all sensors is integrated through the weighted fusion method, thereby obtaining the local optimal estimation value of the tunnel situation by the entire sensor node.

[0044] The adaptive weighted fusion algorithm (AWFA) performs data fusion on the remaining sensor data. The AWFA fusion algorithm assigns weights to the measurement values ​​of each sensor according to a certain principle, and finally integrates the single estimation of the tunnel event by all sensors through the weighted fusion method to obtain the local optimal estimation value of the entire sensor node. This method can process the original monitoring data in a timely and effective manner, eliminate redundancy, and thus reduce the amount of data transmitted by the network.

[0045] The data processing module integrates and analyzes the data received from multiple edge computing nodes, and provides a comprehensive tunnel status assessment based on the correlation between the sensors. It generates a complete tunnel safety status report at the terminal through the data transmitted in the optical cable, and sends risk warning signals to the management center through the wireless communication network, thus realizing effective monitoring and early warning notification of the underground tunnel space.

[0046] The data processing module uses the DS evidence theory's in-network distributed real-time data fusion algorithm AWFA-DS to further fuse the local probability estimates of the tunnel situation obtained from multiple edge computing nodes to form a global optimal estimate of the overall state of the tunnel. DST (Dempster-Shafer Theory, DS evidence theory) gives the combination rules of multi-source information, fuses the basic credibility distribution from multiple edge computing nodes, and obtains a final credibility distribution as output.

[0047] According to the distribution characteristics of optical cable sensor networks, the proposed distributed real-time data fusion algorithm AWFA-DS based on adaptive weighted fusion algorithm (AWFA) and DS evidence theory is proposed. The data detected by the sensor is processed and purified in the edge computing node, that is, the edge computing node performs corresponding data fusion processing and then turns to further processing. It effectively handles the existing redundancy and contradictions and reduces the amount of data transmitted in the network.

[0048] The present invention provides a comprehensive monitoring method based on an optical cable sensor network, which ensures intelligent monitoring of underground tunnel space through precisely designed steps, including the following steps: S1. System construction and sensor deployment In underground tunnels, optical cables are laid along the tunnel depth direction. The optical cables contain multiple optical fibers to form a data backhaul backbone. Multiple wireless sensor subsystems are deployed at key locations in the tunnel, including temperature sensors, humidity sensors, gas concentration sensors, vibration sensors, displacement sensors, and liquid level sensors, etc., to comprehensively collect environmental parameters inside the tunnel. The sensors transmit the collected data to the optical cable nodes through wireless transmission modules.

[0049] S2. Edge computing and data preprocessing Edge computing nodes are deployed along the optical cable to receive the environmental parameter information transmitted by the wireless transmission module in real time; the edge computing nodes include a data processing unit and a memory module, which are mainly used to fuse the remaining sensor data using an adaptive weighted fusion algorithm to obtain the local optimal estimate of the tunnel conditions for the entire sensor node, reduce unnecessary data transmission, and thus reduce the burden on the central data processing module.

[0050] S3. Data fusion and risk analysis The data processing module is located at the system terminal and includes a data processing unit. The data processing unit uses dimensionality reduction processing on the multi-dimensional data received from multiple edge computing nodes to extract the main features that are most representative of tunnel safety, reduce data redundancy and improve processing efficiency. The global optimal solution for the tunnel is obtained, and a tunnel safety status report is generated, which sends a risk warning signal to the management center.

[0051] It will be appreciated by those skilled in the art that various aspects of the present invention may be implemented as systems, methods or program products. Therefore, various aspects of the present invention may be specifically implemented in the following forms, namely: complete hardware implementation, complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as "circuits", "modules" or "platforms".

[0052] In another embodiment of the present invention, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the comprehensive monitoring method based on the optical cable sensor network, including: Collect environmental parameter information; transmit the environmental parameter information back to the receiving node of the optical cable via wireless signals; use an adaptive weighted fusion algorithm to perform real-time analysis and preprocessing on the received environmental parameter information; perform fusion analysis on the preprocessed environmental parameter information to achieve monitoring and early warning of the underground tunnel space.

[0053] See also Figure 3 , the terminal device is a computer device, and the computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the integrated monitoring method based on the optical cable sensor network in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the integrated monitoring system based on the optical cable sensor network in the embodiment are implemented. To avoid repetition, it is not described one by one here.

[0054] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 3 This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0055] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0056] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the computer device 60.

[0057] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0058] See also Figure 4 The terminal device 600 is an electronic device, and the electronic device is in the form of a general computing device. The components of the electronic device may include but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0059] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention described in the above method section of this specification. For example, the processing unit 610 can perform the following steps: Figure 2 Follow the steps shown in .

[0060] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0061] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0062] Bus 630 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0063] The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0064] In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs. It should be noted that the computer-readable storage medium here can be a high-speed RAM memory, or a non-volatile memory (Non-VolatileMemory), such as at least one disk memory.

[0065] The processor may load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the comprehensive monitoring method based on the optical cable sensor network in the above embodiment; the processor may load and execute the following steps: Collect environmental parameter information; transmit the environmental parameter information back to the receiving node of the optical cable via wireless signals; use an adaptive weighted fusion algorithm to perform real-time analysis and preprocessing on the received environmental parameter information; perform fusion analysis on the preprocessed environmental parameter information to achieve monitoring and early warning of the underground tunnel space.

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0067] Example See also Figure 1 and Figure 2 , an integrated optical fiber (integrated optical cable) energy transmission and management system, including: optical cables, edge computing nodes and wireless sensor networks.

[0068] System composition and deployment In underground tunnels, optical cables are laid along the tunnel depth direction. The optical cables include multiple optical fibers to form a data backhaul backbone. Multiple wireless sensor subsystems are arranged at key locations along the optical cables in the tunnel. Each subsystem includes a temperature sensor, humidity sensor, gas concentration sensor, vibration sensor, displacement sensor, and liquid level sensor, etc., which are used to comprehensively collect environmental parameters inside the tunnel.

[0069] The wireless sensor communicates with the receiving node in the optical cable through a low-power wireless transmission module, and transmits the collected data to the edge computing node or back to the terminal data processing module through the optical cable. Each wireless sensor subsystem is equipped with a photocell or energy harvesting module to collect energy from vibration or temperature difference in the tunnel to ensure the system works stably for a long time.

[0070] Edge computing nodes Edge computing nodes are deployed along the optical cable to process the data collected by sensors in real time, including preliminary data screening and anomaly detection. The edge computing nodes include data processing units and memory modules. Their main function is to perform preliminary processing and anomaly detection on sensor data, reduce unnecessary data transmission, and reduce the burden on the central data processing module.

[0071] In some embodiments, when the edge computing node detects that the data of the temperature sensor fluctuates abnormally in a short period of time, the edge node will immediately trigger a local alarm and preferentially transmit the abnormal data back to the central data processing module for further analysis.

[0072] Data processing and fusion The data processing module is located at the terminal of the tunnel monitoring system. Its main task is to integrate and analyze the data transmitted back through the optical cable. The data processing module includes a data processing terminal.

[0073] Data processing terminal Data processing terminal: used to perform fusion analysis on the data received from multiple edge computing node sensors, and provide a comprehensive tunnel status assessment based on the correlation between the sensors. The data processing terminal mainly uses the adaptive weighted fusion algorithm and the DS evidence theory in-network distributed real-time data fusion algorithm AWFA-DS.

[0074] In summary, the present invention provides a comprehensive monitoring method and system based on an optical cable sensor network, which can comprehensively collect various data types in the tunnel environment, and analyze them through fusion algorithms and machine learning, thereby effectively improving the safety monitoring level of the tunnel.

[0075] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0076] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0077] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0078] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0079] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0080] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0081] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0082] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0083] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0084] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0085] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A comprehensive monitoring system based on an optical cable sensor network, characterized in that: include: Wireless sensor subsystem, used to collect environmental parameter information; A wireless transmission module transmits the environmental parameter information back to the receiving node of the optical cable via wireless signals; The edge computing node uses an adaptive weighted fusion algorithm to perform real-time analysis and preprocessing of the received environmental parameter information; The data processing module is used to integrate and analyze the pre-processed environmental parameter information to achieve monitoring and early warning of underground tunnel space.

2. The integrated monitoring system based on the optical cable sensor network according to claim 1 is characterized in that: The wireless sensor subsystem is a sensor cluster including temperature sensors, humidity sensors, gas concentration sensors, vibration sensors, displacement sensors and liquid level sensors.

3. The integrated monitoring system based on the optical cable sensor network according to claim 1 is characterized in that: Each wireless sensor subsystem corresponds to a single edge computing node.

4. The integrated monitoring system based on the optical cable sensor network according to claim 3 is characterized in that: Optical cables contain multiple optical fibers.

5. The integrated monitoring system based on the optical cable sensor network according to claim 1, characterized in that: The edge computing node uses an adaptive weighted fusion algorithm to fuse environmental parameter information. The adaptive adjustment process uses the minimum mean square error as the optimization target to obtain the local optimal estimate of the underground tunnel space.

6. The integrated monitoring system based on the optical cable sensor network according to claim 5, characterized in that: Edge computing nodes are mounted on optical cables.

7. The integrated monitoring system based on the optical cable sensor network according to claim 1, characterized in that: The data processing module adopts the AWFA-DS, an in-network distributed real-time data fusion algorithm based on the DS evidence theory, to fuse the local optimal estimates of the underground tunnel space obtained from multiple edge computing nodes to form a global optimal estimate of the overall state of the underground tunnel space.

8. The integrated monitoring system based on the optical cable sensor network according to claim 1, characterized in that: The wireless sensor subsystem is equipped with a photocell or energy harvesting module to harvest energy from vibration or temperature differences within the tunnel.

9. A comprehensive monitoring method based on an optical cable sensor network, characterized in that: The following steps are involved: S1. Lay an optical cable in the underground tunnel space along the tunnel depth direction. The optical cable contains multiple optical fibers to form a data backhaul trunk. Deploy multiple wireless sensor subsystems at key locations in the underground tunnel space. Each wireless sensor subsystem transmits the collected environmental parameter information to the optical cable node through a wireless transmission module. S2. Deploy edge computing nodes along the optical cable to receive the environmental parameter information transmitted by the wireless transmission module in real time; perform data fusion on all environmental parameter information through an adaptive weighted fusion algorithm to obtain the local optimal estimation value of the underground tunnel space by all wireless sensor subsystems; S3, the data processing module performs dimensionality reduction on the multi-dimensional data received from multiple edge computing nodes, extracts the main features of the underground tunnel space safety, obtains the global optimal solution for the tunnel, generates a tunnel safety status report, and sends a risk warning signal.

10. The comprehensive monitoring method based on optical cable sensor network according to claim 9, characterized in that: When the edge computing node detects abnormal fluctuations in environmental parameter information within the set time, it triggers a local alarm and sends the abnormal environmental parameter information back to the data processing module first.

11. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform the method of any one of claims 1 to 8.

12. A computing device, characterized in that: include: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the method according to any one of claims 1 to 8.

Images