Mine inspection method and mine inspection device based on 5g network backhaul

Abstract

The application discloses a mine inspection method and device based on 5G network backhaul, and the structure and classification of the 5G mine inspection network are designed, so that the load balance of each node is ensured, the high functional decoupling between different types of nodes is achieved, and the constraint mode of the position and type distribution of the nodes is proposed, thereby ensuring that the mine inspection network can reduce the communication cost to the maximum on the basis of providing strong data processing capacity and data communication capacity, and is especially suitable for the mine inspection field.

Description

Technical Field

[0001] This invention relates to the field of backhaul network design for 5G mobile wireless networks in mines, and particularly to a mine inspection method and a mine inspection device based on 5G network backhaul. Background Technology

[0002] 5G technology places higher demands on network throughput and end-to-end latency. Furthermore, with the development of software-defined networking and distributed computing, related technologies have proposed pushing upper-layer functions down to the network edge to provide data processing and storage capabilities closer to users. This relies on edge computing to reduce the overall pressure on network transmission, specifically by shortening end-to-end transmission distances through Multi-access Edge Computing (MEC). However, edge computing technology is relatively new and its maturity is not yet high, especially in adapting it to practical application scenarios. It requires concrete implementation based on MEC theory, and currently, there is a lack of mature implementation solutions in the field of mine inspection. Summary of the Invention

[0003] This invention provides a mine inspection method and a mine inspection device based on 5G network backhaul, thereby providing a mature and usable inspection solution applicable in the field of mine inspection.

[0004] A first aspect of this application provides a mine inspection method based on 5G network backhaul, the method comprising: Activate a 5G mine inspection network, which includes multiple mobile inspection nodes, multiple fixed inspection nodes, multiple first preset nodes, multiple second preset nodes, multiple inspection data processing nodes, multiple first-type edge computing nodes, and at least one second-type edge computing node. The mobile inspection nodes are configured on mine inspection vehicles that move in the mine, and the fixed inspection nodes are fixed inside the mine. Any two nodes in the 5G mine inspection network that have a communication connection can communicate with each other based on 5G technology. Any of the mobile inspection nodes performs the following operations: Image information is collected at a first preset frequency, and the processing result of the image information is transmitted to the first preset node closest to the mine inspection vehicle. The first preset node transmits the processing result to the inspection data processing node.

[0005] In one specific implementation, the method further includes: Any of the aforementioned fixed inspection nodes shall perform the following operations: The corresponding physical signals are collected according to the second preset frequency, the physical signals are preprocessed, and the preprocessing results are transmitted to the corresponding inspection data processing node via a selectable path.

[0006] In one specific implementation, the 5G mine inspection network has no isolated nodes, and at any given time, each mobile inspection node has a unique corresponding first preset node, each first preset node has a unique corresponding inspection data processing node, each fixed inspection node corresponds to a unique first preset node and a unique second preset node, each inspection data processing node corresponds to at least one second preset node, each second preset node has a unique corresponding inspection data processing node, each first type edge computing node corresponds to at least one inspection data processing node, each inspection data processing node has a unique corresponding first type edge computing node, each second type edge computing node corresponds to multiple first type edge computing nodes, and each first type edge computing node has a unique corresponding second type edge computing node.

[0007] In one specific implementation, the method further includes: Any of the aforementioned inspection data processing nodes performs the following operations: The target data is extracted and obtained according to a third preset frequency, and the target data includes image information processing results and / or physical signal preprocessing results. The target data is encapsulated, the encapsulated packet is sent to the corresponding first type of edge computing node, and the encapsulated packet and the target data are deleted locally. Any of the first type of edge computing nodes performs the following operation: The encapsulated packets are extracted according to a fourth preset frequency, classified according to their source, and the classification results are transmitted to the corresponding second-type edge computing nodes. In one specific embodiment, the method further includes: Any of the second type of edge computing nodes performs the following operation: The acquired data packets are fused in real time to obtain the data fusion result corresponding to each data packet; Edge computing processing is performed on the data fusion results; The edge computing results are fed back to the source of the encapsulation package corresponding to the data fusion result.

[0008] In one specific implementation, each inspection data processing node in the 5G mine inspection network corresponds to an inspection basic unit. The inspection basic unit includes the inspection data processing node and other nodes that ultimately transmit data to it. The inspection basic unit contains... Each node is the first preset node. For other types of nodes, the communication state matrix corresponding to the inspection basic unit can be represented as a ( + )OK, Column matrix For matrix Any communication state element Specifically, this only applies when the data in the node with index i is transmitted via the first preset node with index j. Only if it can take the value 1, otherwise it is 0.

[0009] In one specific implementation, determining the target link length corresponding to each node group involves the following steps: for any node group... Determine the node groups respectively The corresponding first link and node group The corresponding second link is the lowest energy-consuming link where the node with index i transmits data to the inspection data processing node via a first preset node with index j. The second link is the lowest energy-consuming link where the node with index i transmits data to the inspection data processing node without transmitting data via the first preset node with index j. The shortest link length between the first link and the second link is determined as the node group. The corresponding target link length; For any node group Query the corresponding communication state element in the communication state matrix. ; the communication status element and node group The product of the corresponding target link lengths is used to determine the node group. Energy consumption parameters; The inspection base unit is deployed with the constraint of minimizing the sum of the energy consumption parameters corresponding to each node group.

[0010] A second aspect of this application provides a mine inspection device based on 5G network backhaul, the device including a 5G mine inspection network and a mine inspection vehicle, the device performing the above-described method.

[0011] This application embodiment, through structural and classification design of the 5G mine inspection network, ensures load balancing of each node, high functional decoupling between different types of nodes, and proposes constraints on the location and type distribution of nodes, thereby ensuring that the mine inspection network can minimize communication costs while providing powerful data processing and data communication capabilities, making it particularly suitable for the field of mine inspection. Attached Figure Description

[0012] Figure 1 This is a schematic diagram of multiple types of nodes in the 5G mine inspection network provided by the present invention; Figure 2 This is a schematic diagram of data transmission in the 5G mine inspection network provided by the present invention. Detailed Implementation

[0013] It should be noted first that this application embodiment focuses on key content. Content not described in this application embodiment is readily available to those skilled in the art without creative effort, and therefore will not affect the implementation of this application embodiment. Furthermore, the data used in performing any data processing, in addition to that specifically mentioned in this application embodiment, necessarily includes other data that can be unambiguously determined based on the data processing actions and results, or other data that those skilled in the art can determine without creative effort, such as unspecified location information, time information, network address information, etc., which can be considered implicit disclosure.

[0014] This invention discloses a mine inspection method based on 5G network backhaul. This method is implemented using a 5G mine inspection network, meaning that various types of nodes in the 5G mine inspection network perform their respective functions, thereby automating the mine inspection task. Please refer to the beginning of the embodiments in this application. Figure 1 This diagram illustrates the various types of nodes in a 5G mine inspection network. The functions of each type of node in the 5G mine inspection network are described below: Mobile Inspection Node: The aforementioned mobile inspection node is configured on a mine inspection vehicle moving within the mine. The physical location of the mobile inspection node may change in real time. The mobile inspection node transmits data to the first preset node closest to it. The mobile inspection node collects image information at a first preset frequency and transmits the processing results of the image information to the first preset node closest to the mine inspection vehicle. Of course, this embodiment does not limit the first preset frequency; it can collect image information once every 10 seconds. Furthermore, this embodiment does not limit the image information processing method; for example, common image compression methods in the prior art can be used to compress the image to obtain the image information processing results.

[0015] Inspection data processing node: This can be considered as a node that comprehensively processes the data collected by mobile inspection nodes and fixed inspection nodes respectively. Each mobile inspection node and each fixed inspection node has its own unique corresponding inspection data processing node, and all data from any mobile inspection node and each fixed inspection node will eventually be transmitted to its own unique inspection data processing node.

[0016] First preset node: The node that directly transmits the received data to the corresponding inspection data processing node.

[0017] The second preset node can only transmit received data to the next node with which it has a communication connection. This node could be the next second preset node, the first preset node corresponding to the second preset node, or the inspection data processing node. The first preset node corresponding to the second preset node must ultimately correspond to the same inspection data processing node.

[0018] Fixed Inspection Nodes: These fixed inspection nodes are permanently installed inside the mine. They transmit data to nodes with which they have an inherent communication relationship. Specifically, a fixed inspection node can collect corresponding physical signals at a second preset frequency, preprocess the physical signals, and transmit the preprocessed results to the corresponding inspection data processing node via a selectable path. The selectable path includes at least one of the following: a path formed by a first preset node corresponding to the fixed inspection node; or a path formed by at least one second preset node. That is, the fixed inspection node can directly transmit the preprocessed results to the corresponding first preset node, which then directly transmits them to the corresponding inspection data processing node. Alternatively, the fixed inspection node can transmit the preprocessed results to a second preset node with which it has a direct communication link. The second preset node then transmits the preprocessed results to the next second preset node or to the first preset node corresponding to that second preset node via a jump-over mode, ultimately achieving the goal of transmitting data to the inspection data processing node corresponding to that second preset node. The jump-over mode refers to a mode that transmits data according to a preset link sequence. This application does not limit the second preset frequency; for example, it can be limited to once per minute. Of course, if the next node after the second preset node is the inspection data processing node corresponding to the second preset node, the data can be transmitted directly.

[0019] This application does not limit the type of physical signals collected by the fixed inspection nodes. The type can be set according to the actual situation of mine inspection. A single fixed inspection node can collect one or more types of physical signals, including but not limited to carbon dioxide concentration signals, carbon monoxide concentration signals, oxygen concentration signals, inhalable particulate matter concentration signals, temperature signals, humidity signals, etc. Different fixed inspection nodes may collect the same or different physical signals.

[0020] The purpose of the preprocessing operations in this application embodiment is to enable the preprocessing results to more quickly reflect the changing trends of the physical signal. This application embodiment proposes a self-developed preprocessing method, which includes: (1) The sequence formed by multiple identical physical signals acquired sequentially is determined as n is the sequence length; of course, there are no requirements for the sequence length, for example, n can be limited to 100; (2) For any non-initial value , where i is an integer greater than 0 and less than or equal to n, if Compared to The change range is greater than the preset range limit, and The weighted sum as Otherwise, As The total weights used in this step are 1, and the weights and preset range limits can be set according to the actual situation or obtained through experiments. For example, and The corresponding weights can be 0.7 and 0.3, respectively, thus obtaining the sequence. .

[0021] (3) Based on sequence Obtain the sequence , where, for any non-initial value They all ,in, This is a preset difference amplification factor, which can be set according to actual conditions or experimental settings.

[0022] (4) For sequences For any non-initial value They all + ,in, These are experimental parameters that can be set according to the experiment.

[0023] (5) Determine the sequence and , for and Based on the weighted sum, the total weight used in this step is 1, and the weights can be set according to the actual situation. Furthermore, in and If the change between them exceeds the preset threshold, and If they are equal, otherwise, and The range of change between them is determined as the target weight. ,Will and The weighted summation value is determined as ,in and The corresponding weights are 1- and .and This is the sequence obtained after preprocessing. The preset amplitude threshold can be set according to the experiment. This is the preprocessing result.

[0024] It should be noted that the absolute values ​​and changes of different physical quantities vary greatly. Therefore, there are multiple values ​​that need to be set experimentally in this preprocessing method. However, these values ​​can be set and adjusted experimentally, and the experimental method itself is conventional. Therefore, whether these values ​​are taken or not, or whether they are disclosed, does not constitute a limiting or sufficient condition affecting the implementation of the embodiments of this application.

[0025] The inspection data processing node can extract the acquired target data according to a third preset frequency. The target data includes image information processing results and / or physical signal preprocessing results. The target data is then encapsulated, and the encapsulated packet is sent to the corresponding first-type edge computing node. The encapsulated packet and the target data are then deleted from the local machine. This application does not limit the third preset frequency or the encapsulation method; existing technologies can be referenced, and the third preset frequency can be set based on actual conditions. Each inspection data processing node has its own unique corresponding first-type edge computing node, and all data in the inspection data processing node will ultimately be transmitted to its uniquely corresponding first-type edge computing node. Of course, a first-type edge computing node can receive and process data from multiple inspection data processing nodes.

[0026] The first type of edge computing node extracts the acquired packets according to a fourth preset frequency, classifies the packets based on their source, and transmits the classification results to the corresponding second type of edge computing node. This application does not limit the fourth preset frequency or the packet classification method; existing technologies can be referenced, and the fourth preset frequency can be set based on actual conditions. Each first type of edge computing node has a unique corresponding second type of edge computing node, and all data in the first type of edge computing node is ultimately transmitted to its uniquely corresponding second type of edge computing node. Of course, a second type of edge computing node can receive and process data from multiple first type of edge computing nodes. In one embodiment, packet classification refers to classifying the acquired packets according to their IP source. Packets with the same IP source are compressed into a single compressed packet, encrypted using the private key corresponding to that IP source, and the encryption result (packet classification result) is transmitted to the second type of edge computing node.

[0027] The second type of edge computing node performs real-time data fusion on the acquired data packets to obtain the data fusion result for each data packet; performs edge computing processing on the data fusion result; and feeds back the edge computing result to the source of the encapsulated packet corresponding to the data fusion result. It can be seen that the first type of edge computing node can be used to store the encapsulated packet classification results and the corresponding edge computing results. The second type of edge computing node first decrypts each received data packet using the corresponding public key. For each data packet, it obtains several data points, which may include image processing results or physical signal preprocessing results. These data points are then fused and edge-computed to obtain the final edge computing result. Fusion and edge computing can be implemented based on a preset mine parameter processing model, which is distributed across various second-type edge computing nodes. Any second-type edge computing node pointing to this mine parameter processing model performs the following operations: it fuses the data in the acquired data packets to obtain the fusion result; it fits the mine risk index value based on the fusion result; and it uses the fitted result as the edge computing result. The fusion and fitting operations in this mine parameter processing model are common operations in the field of AI. The training method can also use common methods in the field of AI. Therefore, this application does not limit the implementation of this embodiment.

[0028] Please refer to Figure 2 This diagram illustrates the data transmission of a 5G mine inspection network. Except for the first preset node, which can directly communicate with its corresponding inspection data processing node, other types of nodes can only transmit data via fixed links. Fixed inspection nodes can communicate with either their corresponding first preset node or a second preset node adjacent to them with a direct communication relationship. The choice can be set according to actual conditions. Mobile inspection nodes communicate with the first preset node closest to them. Both fixed and mobile inspection nodes ultimately aggregate data to their corresponding inspection data processing nodes, which then transmit the data via the corresponding first-type edge computing node to the corresponding second-type edge computing node. In this 5G mine inspection network, any two nodes with a communication connection communicate using 5G technology; there are no isolated nodes in this 5G mine inspection network.

[0029] The aforementioned 5G mine inspection network includes multiple mobile inspection nodes, multiple fixed inspection nodes, multiple first preset nodes, multiple second preset nodes, multiple inspection data processing nodes, multiple first-type edge computing nodes, and at least one second-type edge computing node. At any given time, each of the aforementioned mobile inspection nodes has a unique corresponding first preset node, each of the aforementioned first preset nodes has a unique corresponding inspection data processing node, each of the aforementioned fixed inspection nodes corresponds to a unique first preset node and a unique second preset node, each inspection data processing node corresponds to at least one second preset node, each of the aforementioned second preset nodes has a unique corresponding inspection data processing node, each of the aforementioned first-type edge computing nodes corresponds to at least one inspection data processing node, each of the aforementioned inspection data processing nodes has a unique corresponding first-type edge computing node, each of the aforementioned second-type edge computing nodes corresponds to multiple first-type edge computing nodes, and each of the aforementioned first-type edge computing nodes has a unique corresponding second-type edge computing node.

[0030] In the aforementioned 5G mine inspection network, each inspection data processing node corresponds to an inspection basic unit. This basic unit includes the inspection data processing node and all other nodes that ultimately transmit data to it. In other words, an inspection data processing node and its associated nodes constitute an inspection basic unit. The inspection basic unit is the foundation for data acquisition and transmission in this 5G mine inspection network, and its performance is of paramount importance. The design of this basic unit must accommodate various requirements, including data transmission efficiency, overall node energy consumption, and data transmission robustness, making it a core component of 5G mine inspection network construction. Considering the various requirements of the inspection basic unit, this application proposes construction requirements for it. An inspection basic unit constructed based on these requirements can be considered to meet the requirements for inspection basic units in a 5G mine inspection network. These construction requirements can be considered a direct reflection of the research and development results obtained during the development process of the inspection basic unit in this application. The specific content of these construction requirements is as follows: The above-mentioned basic inspection units include Each node is the first preset node. For other types of nodes, the communication state matrix corresponding to the above-mentioned inspection basic unit can be represented as a ( + )OK, Column matrix , Greater than 1, Greater than 3, for a matrix Any communication state element Specifically, this only applies when the data in the node with index i is transmitted via the first preset node with index j. Only if it can take the value 1, otherwise it is 0. and The upper limit is theoretically not limited, but the actual upper limit can be set according to the scenario requirements. There is no limit to the number of fixed inspection nodes in the basic inspection unit, and there can be multiple nodes.

[0031] Determining the target link length for each node group involves the following steps: for any node group... Determine the node groups respectively The corresponding first link and node group The corresponding second link is the lowest energy-consuming link where the node with index i transmits data to the inspection data processing node via a first preset node with index j. The second link is the lowest energy-consuming link where the node with index i transmits data to the inspection data processing node without transmitting data via the first preset node with index j. The shortest link length between the first link and the second link is determined as the node group. The corresponding target link length; the link with the lowest energy consumption can refer to the link with the shortest physical distance.

[0032] Based on the aforementioned communication state matrix and the target link length corresponding to each node group, the aforementioned inspection basic unit is deployed. Specifically, for any node group... Query the corresponding communication state element in the above communication state matrix. ; the above communication status elements and node group The product of the corresponding target link lengths is used to determine the above node group. The energy consumption parameters of the indicators; with the constraint of minimizing the sum of the energy consumption parameters corresponding to each node group, the above-mentioned inspection basic unit is deployed. During the deployment design phase, the mobile inspection nodes can also be disregarded because they have little impact on deployment costs, as mentioned earlier (…). + In this case, mobile inspection nodes can be omitted from the statistics. Of course, mobile inspection nodes can also be counted according to the actual situation, and the impact is not significant.

[0033] Based on the successful deployment of this inspection basic unit, by connecting the first type of edge computing node and the second type of edge computing node, a 5G mine inspection network can be obtained. After activating the 5G mine inspection network, mine inspection can be carried out.

[0034] This application embodiment, through structural and classification design of the 5G mine inspection network, ensures load balancing of each node, high functional decoupling between different types of nodes, and proposes constraints on the location and type distribution of nodes, thereby ensuring that the mine inspection network can minimize communication costs while providing powerful data processing and data communication capabilities, making it particularly suitable for the field of mine inspection.

[0035] Another embodiment of this application provides a mine inspection device based on 5G network backhaul. The device includes a 5G mine inspection network and a mine inspection vehicle, and the device performs the aforementioned method.

Claims

1. A mine inspection method based on 5G network backhaul, characterized in that, The method includes: Activate a 5G mine inspection network, which includes multiple mobile inspection nodes, multiple fixed inspection nodes, multiple first preset nodes, multiple second preset nodes, multiple inspection data processing nodes, multiple first-type edge computing nodes, and at least one second-type edge computing node. The mobile inspection nodes are configured on mine inspection vehicles that move in the mine, and the fixed inspection nodes are fixed inside the mine. Any two nodes in the 5G mine inspection network that have a communication connection can communicate with each other based on 5G technology. Any of the mobile inspection nodes performs the following operations: Image information is collected at a first preset frequency, and the processing result of the image information is transmitted to the first preset node closest to the mine inspection vehicle. The first preset node transmits the processing result to the inspection data processing node; the 5G mine inspection network has no isolated nodes, and at any given time, any mobile inspection node has a unique corresponding first preset node, any first preset node has a unique corresponding inspection data processing node, any fixed inspection node corresponds to a unique first preset node and a unique second preset node, any inspection data processing node corresponds to at least one second preset node, each second preset node has a unique corresponding inspection data processing node, any first-type edge computing node corresponds to at least one inspection data processing node, each inspection data processing node has a unique corresponding first-type edge computing node, any second-type edge computing node corresponds to multiple first-type edge computing nodes, and each first-type edge computing node has a unique corresponding second-type edge computing node; any inspection data processing node performs the following operation: The target data is extracted and obtained according to a third preset frequency, and the target data includes image information processing results and / or physical signal preprocessing results. The target data is encapsulated, the encapsulated packet is sent to the corresponding first type of edge computing node, and the encapsulated packet and the target data are deleted locally. Any of the first type of edge computing nodes performs the following operation: The encapsulated packets are extracted according to the fourth preset frequency, classified according to their source, and the classification results are transmitted to the corresponding second-type edge computing nodes; any second-type edge computing node performs the following operations: The acquired data packets are fused in real time to obtain the data fusion result corresponding to each data packet; Edge computing processing is performed on the data fusion results; The edge computing results are fed back to the source of the encapsulated packet corresponding to the data fusion result; each inspection data processing node in the 5G mine inspection network corresponds to an inspection basic unit, which includes the inspection data processing node and other nodes that ultimately transmit the data to that inspection data processing node. The inspection basic unit contains... Each node is the first preset node. For other types of nodes, the communication state matrix corresponding to the inspection basic unit is represented as a ( + )OK, Column matrix For matrix Any communication state element Specifically, this only applies when the data in the node with index i is transmitted via the first preset node with index j. Only if it can take the value 1, otherwise it is 0; Determining the target link length for each node group involves the following steps: for any node group... Determine the node groups respectively The corresponding first link and node group The corresponding second link is the lowest energy-consuming link where the node with index i transmits data to the inspection data processing node via a first preset node with index j. The second link is the lowest energy-consuming link where the node with index i transmits data to the inspection data processing node without transmitting data via the first preset node with index j. The shortest link length between the first link and the second link is determined as the node group. The corresponding target link length; For any node group Query the corresponding communication state element in the communication state matrix. ; the communication status element and node group The product of the corresponding target link lengths is used to determine the node group. Energy consumption parameters; The inspection base unit is deployed with the constraint of minimizing the sum of the energy consumption parameters corresponding to each node group.

2. The method according to claim 1, characterized in that, The method further includes: Any of the aforementioned fixed inspection nodes shall perform the following operations: The physical signals are collected according to the second preset frequency, the physical signals are preprocessed, and the preprocessing results are transmitted to the corresponding inspection data processing node via a selectable path; the physical signals collected by different fixed inspection nodes may be the same or different.

3. A mine inspection device based on 5G network backhaul, characterized in that, The device includes a 5G mine inspection network and a mine inspection vehicle, and the device performs the method according to any one of claims 1 to 2.

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