Node environment noise monitoring method and device, storage medium and electronic equipment

Abstract

The invention relates to a node environment noise monitoring method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining public network information of a target work area, selecting a target communication network from the public network information, and obtaining a target cloud server matched with a noise monitoring requirement according to the transmission speed provided by each cloud server; determining the type of node environment noise data transmitted by the node according to the selected target communication network, and determining the transmitted node environment noise data volume according to the data transmission capability of the node; based on the selected target communication network and the target cloud server, constructing a cloud platform network system for communication between the target work area and a control center; and transmitting the node environment noise data according to the cloud platform network system and the determined transmitted node environment noise data volume, so that the control center processes the node environment noise data transmitted by the cloud platform network system, and adjusts a production plan of the target work area according to a processing result. The production cost can be reduced, and the noise monitoring efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of environmental noise monitoring technology, and in particular to a method, apparatus, storage medium, and electronic device for monitoring nodal environmental noise. Background Technology

[0002] During oil production, oil companies need to deploy nodes in target areas to collect various parameters, such as seismic data, for subsequent processing. In related technologies, the amount of seismic data collected by these nodes is enormous, and the transmission time is long. Since these nodes are deployed in the field and rely on batteries for operation, a solution is to store the collected seismic data in local storage and have technicians periodically retrieve it from the nodes to effectively extend their operating time.

[0003] In seismic data acquisition, environmental noise at nodes can affect the quality of data acquisition. However, periodically retrieving stored seismic data from node locations is not only costly, but also fails to provide timely environmental noise information, making it difficult to take timely measures to address significant environmental noise levels and ensure the quality of the acquired seismic data.

[0004] To enable real-time monitoring of node environmental noise, two methods for monitoring node environmental noise have been proposed in related technologies. One method is to deploy wired arrays to monitor environmental noise separately, but this method will bring great inconvenience to production, and the newly added wired arrays will also significantly increase production costs. The other method is to deploy dedicated noise nodes to collect environmental noise, and then transmit the collected environmental noise data to the indoor environment through radio or other means. However, this method will also increase production costs, and the data transmission distance is short and greatly affected by terrain, resulting in poor applicability. Summary of the Invention

[0005] In view of this, the present invention provides a method, apparatus, storage medium and electronic device for monitoring node environmental noise.

[0006] Specifically, the present invention is achieved through the following technical solution: According to a first aspect of the present invention, a method for monitoring node environmental noise is provided, the method comprising: Obtain public network information of the target work area, select the target communication network corresponding to the target public network information from the obtained public network information according to the pre-set network selection strategy, and obtain the target cloud server that matches the pre-set node environmental noise monitoring requirements based on the transmission speed provided by each cloud server. Based on the selected target communication network, determine the type of node environmental noise data transmitted by the node, and based on the node's data transmission capability, determine the amount of node environmental noise data transmitted. Based on the selected target communication network and target cloud server, a cloud platform network system is constructed to enable communication between the target work area and the pre-determined control center; Based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, the node environmental noise data is transmitted so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results.

[0007] Optionally, selecting the target communication network corresponding to the target public network information from the acquired public network information according to a pre-set network selection strategy includes: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is less than a preset fluctuation rate threshold and an intensity that is greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the public mobile communication network.

[0008] Optionally, selecting the target communication network corresponding to the target public network information from the acquired public network information according to a pre-set network selection strategy includes: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is not less than a preset fluctuation rate threshold or an intensity that is not greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the Starlink satellite network.

[0009] Optionally, determining the type of node environmental noise data transmitted by the node based on the selected target communication network includes: If the target communication network is a Starlink satellite network, the type of node environmental noise data transmitted by the node is determined to be centralized transmission; If the target communication network is a public mobile communication network, the type of node environmental noise data transmitted by the node is determined to be distributed transmission.

[0010] Optionally, determining the amount of node environmental noise data to be transmitted based on the node's data transmission capability includes: Based on the sampling rate and transmission time interval pre-set for the node, determine the amount of node environmental noise data to be transmitted corresponding to the transmission time interval; If the data transmission capacity of a node is greater than or equal to the amount of node environmental noise data to be transmitted, the amount of node environmental noise data to be transmitted is determined as the amount of node environmental noise data to be transmitted. If the data transmission capacity of a node is less than the amount of ambient noise data to be transmitted, the root mean square (RMS) calculation is performed on the ambient noise data to be transmitted to obtain the RMS value of the ambient noise data to be transmitted, and the amount of ambient noise data to be transmitted is determined to be the RMS value.

[0011] Optionally, after obtaining the root mean square value of the node environmental noise data to be transmitted and before determining that the amount of node environmental noise data to be transmitted is the root mean square value, the method further includes: If the root mean square value of the node's environmental noise data to be transmitted is greater than the node's data transmission capacity, the transmission time interval is increased. The node environmental noise data collected within the increased transmission time interval is obtained, and root mean square (RMS) calculation is performed to obtain a new RMS value, which is then used as the amount of transmitted node environmental noise data.

[0012] Optionally, the construction of a cloud platform network system for communication between the target work area and a pre-determined control center based on the selected target communication network and target cloud server includes: In the field terminal of the target work area, the storage path of the node environmental noise is set to the target cloud server path; In the control terminal of the control center, the reading path for node environmental noise is set to the target cloud server path; Connect the field terminals to the target communication network, and connect the control terminals to the target communication network to construct a cloud platform network system that includes the field terminals, the target communication network, the target cloud server, and the control terminals.

[0013] The node environmental noise monitoring method in this technical solution acquires public network information of the target work area, selects the target communication network corresponding to the target public network information from the acquired public network information according to a pre-set network selection strategy, and acquires a target cloud server that matches the pre-set node environmental noise monitoring requirements based on the transmission speed provided by each cloud server. Based on the selected target communication network, the type of node environmental noise data transmitted by the node is determined, and the amount of node environmental noise data transmitted is determined based on the node's data transmission capability. Based on the selected target communication network and target cloud server, a cloud platform network system is constructed for communication between the target work area and a pre-determined control center. Based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, the node environmental noise data is transmitted so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results. In this way, by constructing a cloud platform network system and determining the amount of node environmental noise data to be transmitted based on the data transmission capabilities of the nodes, and by adjusting the amount of node environmental noise data transmitted according to the data transmission capabilities, real-time monitoring of node environmental noise data can be achieved, reducing the acquisition cost and production cost of environmental noise monitoring. Real-time monitoring is not limited by terrain and distance, and analysis results can be obtained based on environmental noise data to effectively control and manage production quality.

[0014] According to a second aspect of the present invention, a node environmental noise monitoring device is provided, the node environmental noise monitoring device comprising: The network configuration module is used to obtain public network information of the target work area, select the target communication network corresponding to the target public network information from the obtained public network information according to the pre-set network selection strategy, and obtain the target cloud server that matches the pre-set node environmental noise monitoring requirements based on the transmission speed provided by each cloud server. The data transmission processing module is used to determine the type of node environmental noise data transmitted by the node based on the selected target communication network, and to determine the amount of node environmental noise data transmitted based on the node's data transmission capability. The network system construction module is used to build a cloud platform network system for communication between the target work area and a pre-determined control center, based on the selected target communication network and target cloud server. The noise monitoring module is used to transmit node environmental noise data based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results.

[0015] According to a third aspect of the present invention, a storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the node environmental noise monitoring method in any possible implementation of the first aspect.

[0016] According to a fourth aspect of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the node environmental noise monitoring method in any possible implementation of the first aspect. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0019] Figure 1 A flowchart illustrating a node environmental noise monitoring method provided in an embodiment of the present invention; Figure 2 This is a schematic diagram illustrating distributed transmission and centralized transmission in a node environmental noise monitoring method provided by an embodiment of the present invention; Figure 3 This is a schematic diagram of a cloud platform network system constructed in a node environmental noise monitoring method provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of a cloud platform network system based on centralized transmission in a node environmental noise monitoring method provided in an embodiment of the present invention. Figure 5 This is a schematic diagram of real-time monitoring of node environmental noise in a node environmental noise monitoring method provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of node noise data monitoring for 100 nodes in a node environmental noise monitoring method provided in an embodiment of the present invention. Figure 7 This is a schematic diagram illustrating the relationship between data recovery rate and the number of nodes in a node environmental noise monitoring method provided in an embodiment of the present invention. Figure 8 This is a schematic diagram of a node environmental noise monitoring device provided in an embodiment of the present invention; Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Both methods proposed in the related technologies for real-time monitoring of node environmental noise, whether it is the method of deploying wired arrays to monitor environmental noise alone or the method of deploying dedicated noise nodes to collect environmental noise, require equipment deployment, which is detrimental to production and increases production costs.

[0022] See Figure 1 This invention provides a method for monitoring node environmental noise, which may include the following steps: S101. Obtain the public network information of the target work area. Based on the pre-set network selection strategy, select the target communication network corresponding to the target public network information from the obtained public network information. Based on the transmission speed provided by each cloud server, obtain the target cloud server that matches the pre-set node environmental noise monitoring requirements. In this embodiment, based on the actual situation of the public network in the target work area and according to the pre-set network selection strategy, a suitable network service (target public network) is selected as the data transmission method for subsequent data collection.

[0023] In this embodiment, as an optional embodiment, the target communication network corresponding to the target public network information is selected from the acquired public network information according to a pre-set network selection strategy, including: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is less than a preset fluctuation rate threshold and an intensity that is greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the public mobile communication network.

[0024] In this embodiment, as an optional implementation, if the population density of the target work area is greater than a pre-set first population density threshold (indicating dense population and good public network facilities and services), or if the signal of the public mobile communication (4G / 5G) network in the target work area is stable and strong, the mobile communication network is preferred as the data transmission method. This allows reliance on public network facilities and services, eliminating the need to establish separate communication network facilities, which helps reduce production costs. Furthermore, 4G / 5G has low latency, enabling high-speed data transmission.

[0025] In this embodiment, as another optional embodiment, the target communication network corresponding to the target public network information is selected from the acquired public network information according to a pre-set network selection strategy, including: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is not less than a preset fluctuation rate threshold or an intensity that is not greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the Starlink satellite network.

[0026] In this embodiment, if the population density of the target work area is less than a pre-set second population density threshold (indicating low population density, weak public network infrastructure and services, and potential lack of coverage by public mobile communication networks), wherein the first population density threshold is greater than the second population density threshold; or, if the signal strength fluctuation rate of the public mobile communication network is not less than a pre-set fluctuation rate threshold, or the strength is not greater than a pre-set strength threshold, within a preset time period, the Starlink satellite network with global coverage can be used as the data transmission method. Thus, due to the large satellite coverage area, it can bypass surface obstacles and provide stable internet service.

[0027] In this embodiment, the Starlink satellite network and the mobile communication network each have their unique advantages and applicable scenarios. The Starlink satellite network has a significant advantage in communication in remote areas, while the mobile communication network performs better in densely populated urban areas and low-latency applications. The appropriate communication network can be selected according to the actual situation. For example, in practical applications where the real-time monitoring requirements for node environmental noise are not very strict, even if the intensity fluctuation rate is not less than a preset fluctuation rate threshold, a public mobile communication network can still be used if the strength of the communication signal exceeds the intensity threshold. This embodiment does not impose any limitations on this.

[0028] In this embodiment, when using the network for data transmission, a target cloud server is set to avoid situations where data cannot be transmitted due to network abnormalities of the sender or receiver.

[0029] In this embodiment, as an optional embodiment, the transmission speed includes, but is not limited to, the upload speed and the download speed. If there are multiple cloud servers that match the requirements of node environmental noise monitoring, one cloud server can be randomly selected or selected according to a pre-set rule as the target cloud server. In this way, by selecting a cloud server as the data storage carrier, the situation where data cannot be transmitted due to abnormal network conditions of the sender or receiver can be effectively avoided. At the same time, the data sharing function can be realized.

[0030] In this embodiment, the cloud server is a service model based on cloud computing technology that provides computing resources (such as servers, storage, databases, software, etc.) via the network in an on-demand and easily scalable manner. Users do not need to purchase and maintain hardware equipment; they can meet their computing needs simply by accessing the network. Therefore, in this embodiment, as an optional implementation, using a cloud server as a cloud service platform to store environmental noise data can not only realize remote data transmission and sharing but also help reduce the production costs required for local storage, making it suitable for the needs of real-time transmission and sharing of seismic acquisition data that includes environmental noise data.

[0031] In this embodiment, based on the actual situation of the public network in the target work area, either Starlink satellite network or mobile communication network is selected as the data transmission method. At the same time, a cloud server is selected as the data storage carrier of the cloud platform.

[0032] S102. Based on the selected target communication network, determine the type of node environmental noise data transmitted by the node, and based on the data transmission capability of the node, determine the amount of node environmental noise data transmitted. In this embodiment, the type of collected node environmental noise data is determined based on the data transmission capabilities of the target communication network and the node, so that the type of environmental noise data meets the node's data transmission capabilities.

[0033] In this embodiment, as an optional embodiment, the type of node environmental noise data transmitted by the node is determined based on the selected target communication network, including: If the target communication network is a Starlink satellite network, the type of node environmental noise data transmitted by the node is determined to be centralized transmission; If the target communication network is a public mobile communication network, the type of node environmental noise data transmitted by the node is determined to be distributed transmission.

[0034] In this embodiment, as an optional embodiment, the data transmission type includes, but is not limited to, distributed transmission and centralized transmission.

[0035] Figure 2 This diagram illustrates distributed and centralized transmission in a node environmental noise monitoring method provided by an embodiment of the present invention. Figure 2 As shown, taking data transmission between a node and a cloud server as an example, distributed transmission involves each node communicating with the cloud server separately, while centralized transmission involves setting up a receiver, such as a gateway, between the node and the cloud server. Each node communicates with the receiver, and the receiver communicates with the cloud server.

[0036] In this embodiment, as an optional implementation, the amount of node environmental noise data to be transmitted is determined based on the node's data transmission capability, including: Based on the sampling rate and transmission time interval pre-set for the node, determine the amount of node environmental noise data to be transmitted corresponding to the transmission time interval; If the data transmission capacity of a node is greater than or equal to the amount of node environmental noise data to be transmitted, the amount of node environmental noise data to be transmitted is determined as the amount of node environmental noise data to be transmitted. If the data transmission capacity of a node is less than the amount of ambient noise data to be transmitted, the root mean square (RMS) calculation is performed on the ambient noise data to be transmitted to obtain the RMS value of the ambient noise data to be transmitted, and the amount of ambient noise data to be transmitted is determined to be the RMS value.

[0037] In this embodiment, nodes transmit data according to transmission time intervals. Therefore, the amount of node environmental noise data to be transmitted (sampling point data transmission requirements) corresponding to the transmission time interval is the cumulative amount of sampling point data obtained by sampling according to the sampling rate within the transmission time interval. As an optional embodiment, if the node's data transmission capability meets the sampling point data transmission requirements, then node environmental noise data is collected according to the selected sampling rate n to form sampling point data. After the transmission time interval Δt is reached, the sampling point data is sent and transmitted. If the data transmission capability cannot meet the sampling point data transmission requirements, the amount of node environmental noise data to be transmitted can be determined by increasing the transmission time interval to be the root mean square value of the node environmental noise data collected by all sampling points within a certain time interval. For example, if the sampling rate is set to n=100ms and the transmission time interval is set to Δt=10s, then the number of sampling points transmitted by each node every 10 seconds is: 1000÷100×10=100. If there are 100 nodes in the target work area, then the number of sampling points transmitted by 100 nodes every 10 seconds is 100×100=10000. This is a very large amount of data transmission (the amount of environmental noise data to be transmitted by the nodes), and the data transmission capacity of the nodes is far less than this amount of data transmission.

[0038] In this embodiment, when the data transmission capacity cannot meet the needs of large data transmission, as an optional implementation, the root mean square value of the node environmental noise data of 100 sampling points every 10 seconds for each node can be calculated before transmission. For example, suppose the 100 sampling points are s1, s2, s3, ..., s 100 Then the root mean square value of 100 sampling points is:

[0039] Using the above method, each node transmits only one piece of data every 10 seconds, with a value of S. rms Therefore, the number of data transmitted every 10 seconds by 100 nodes is 100, which is only 1 / 100 of the previous amount of data transmitted.

[0040] In this embodiment, as an optional embodiment, after obtaining the root mean square value of the node environmental noise data to be transmitted and before determining that the amount of node environmental noise data to be transmitted is the root mean square value, the method further includes: If the root mean square value of the node's environmental noise data to be transmitted is greater than the node's data transmission capacity, the transmission time interval is increased. The node environmental noise data collected within the increased transmission time interval is obtained, and root mean square (RMS) calculation is performed to obtain a new RMS value, which is then used as the amount of transmitted node environmental noise data.

[0041] In this embodiment, as an optional implementation, if the data transmission capacity of the node is still insufficient after performing the root mean square operation, the time interval Δt can be increased to 20 seconds, which will reduce the amount of transmitted node environmental noise data to 1 / 200 of the previous amount. Thus, by adjusting the sampling rate n and the transmission time interval Δt, the actual data transmission capacity can be matched.

[0042] S103. Based on the selected target communication network and target cloud server, construct a cloud platform network system for communication between the target work area and the pre-determined control center; In this embodiment, a cloud platform network system for communication between the target work area and the control center is built. As an optional embodiment, after determining the communication network (target communication network) and the target cloud server of the cloud platform, a cloud platform network system dedicated to earthquakes is built to transmit earthquake data including node environmental noise data, thereby establishing a data transmission channel between the work area and the control center.

[0043] In this embodiment, as an optional implementation, a cloud platform network system for communication between the target work area and a pre-determined control center is constructed based on the selected target communication network and target cloud server, including: In the field terminal of the target work area, the storage path of the node environmental noise is set to the target cloud server path; In the control terminal of the control center, the reading path for node environmental noise is set to the target cloud server path; Connect the field terminals to the target communication network, and connect the control terminals to the target communication network to construct a cloud platform network system that includes the field terminals, the target communication network, the target cloud server, and the control terminals.

[0044] In this embodiment, a cloud platform network system is constructed, including field terminals, a communication network, a cloud server, and a control terminal. As an optional embodiment, the field terminals are configured with parameters to enable dedicated use of the public cloud server. Specifically, the storage path for node environmental noise data is set in the field terminals to the target cloud server path, such as a Uniform Resource Locator (URL) or HTTP URL. The control terminals are configured to read node environmental noise data from the cloud server. After parameter settings, the field terminals and control terminals are connected to the target communication network.

[0045] In this embodiment, as an optional embodiment, connecting the field terminal to the target communication network includes: If the target communication network is a Starlink satellite network, network communication between the field terminal and the target communication network is established via WiFi. If the target communication network is a public mobile communication network, a SIM card is inserted into the field terminal to establish network communication with the target communication network, and the field terminal is a node.

[0046] Figure 3 This is a schematic diagram of a cloud platform network system constructed in a node environmental noise monitoring method provided in an embodiment of the present invention. Figure 3 As shown, in this embodiment, as an optional embodiment, if the Starlink satellite network method is selected, the field terminal (field terminal system) and the Starlink device (cloud server) in the Starlink satellite network directly establish network communication via WiFi; if the public mobile communication network method is selected, the field terminal achieves instant communication by inserting a SIM card. As an optional embodiment, the field terminal with the SIM card inserted can access the target communication network through a wireless router.

[0047] In this embodiment, the method by which the field terminal accesses the target communication network is not limited to the methods described above. This embodiment does not impose any limitations on this. For the control terminal (control center terminal system), it is generally located in an area with good mobile communication signal, so the control terminal can be connected to the target communication network by inserting a SIM card. In this way, a data transmission channel is constructed between the field terminal, the cloud server, and the control terminal based on the target communication network. This allows the collected node environmental noise data to be uploaded to the cloud server in real time through the field terminal, and the control terminal can also synchronously read the node environmental noise data from the cloud server and monitor the field environmental noise of the node in real time.

[0048] Figure 4 This is a schematic diagram of a cloud platform network system based on centralized transmission in a node environmental noise monitoring method provided by an embodiment of the present invention. Figure 4As shown, in this embodiment, the gateway (receiver) receives the data transmitted by each node and transmits it to the cloud server using the Starlink satellite network. The indoor monitoring terminal (control terminal) obtains data from the cloud server to monitor the environmental noise of the nodes.

[0049] S104. Based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, transmit the node environmental noise data so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results.

[0050] In this embodiment, the node environmental noise data is analyzed and processed, and the processing results are used to guide production operations.

[0051] In this embodiment, by sharing the node environmental noise data recovered by the gateway on the cloud server of the cloud platform network system, the control center terminal system (control terminal) of the control center logs into the target cloud server to read the node environmental noise data, which enables real-time monitoring.

[0052] In this embodiment, as an optional implementation, the noise value is calculated using node environmental noise data and compared with a set noise over-limit threshold. Based on the actual noise value and the noise over-limit threshold, it is determined whether production can continue or be suspended.

[0053] In this embodiment, as another optional implementation, the geographical location information of the noise source can also be determined by parsing the node environmental noise data, and the noise source can be controlled based on the geographical location information. The geographical location information can be the station number (identifier) ​​of the node. By assigning a station number to each node during node deployment and establishing a correspondence between the node's latitude and longitude location information and the station number, the specific location of the noise source can be determined based on the station number (identifier) ​​information carried in the node environmental noise data, and relevant technical personnel can be notified to go to that specific location for appropriate handling.

[0054] In this embodiment, as another optional embodiment, the data recovery rate can also be calculated through node environmental noise data, and the node environmental noise monitoring performance can be evaluated based on the data recovery rate.

[0055] In this embodiment, as an optional implementation, the data recovery rate is characterized by the area ratio, which is calculated using the following formula:

[0056] In the formula, S is the data recovery rate, and A 亮色 A is the area where the node's environmental noise data is located. 总 It refers to the total area under surveillance.

[0057] In this embodiment, based on data sharing within the cloud platform network system, real-time monitoring of node environmental noise data is achieved using seismic data collected by nodes, which includes node environmental noise. This has the following beneficial technical effects: It is not limited by terrain or distance, thus fundamentally solving the problem of data transmission distance; It can significantly reduce the data acquisition cost of environmental noise monitoring and form a real-time monitoring system for node environmental noise; It can obtain analysis results based on environmental noise data, and carry out effective quality control and management of production.

[0058] The following is a specific embodiment to illustrate the method of this embodiment in detail: Taking an overseas project as an example, this project is a two-dimensional nodal seismic acquisition project, which requires real-time monitoring of environmental noise at the construction site to ensure the high quality of the acquired seismic data.

[0059] 1. Select a suitable communication network and cloud platform network system: The work area is characterized by low population density, weak ground infrastructure, and unstable and weak mobile communication networks. However, the use of the Starlink satellite network in this area is unrestricted. Therefore, the Starlink satellite network was chosen as the data transmission method. Table 1 shows a comparison of the transmission speeds of different cloud servers or cloud platforms (two cloud platforms were selected in this embodiment: Cloud Platform 1 and Cloud Platform 2). Table 1 Comparison of transmission capabilities between the two cloud platforms

[0060] As can be seen from Table 1, cloud platform 2 has stronger data transmission capabilities, therefore, cloud platform 2 is selected.

[0061] 2. Determine the type of environmental noise data transmitted to the node: One hundred nodes were deployed at the work site, spaced 200 meters apart, with a noise monitoring array length of approximately 20 km. The environmental noise data collection from each node employed a centralized transmission method, with a LoRa-enabled gateway handling the data collection. Since the LoRa gateway lacked the capability to transmit sample data back (meaning the node's data transmission capacity was far less than the data volume), noise values ​​(root mean square values) were used as the data type. The sampling rate was set to 8 milliseconds, and the transmission interval was 15 seconds.

[0062] 3. Construct a cloud platform network system, equipped with the following equipment: Field terminal system (field terminal): gateway; Communication equipment: Starlink satellite network; Cloud server: Cloud platform 2; Control center terminal system: Noise monitoring system (indoor monitoring terminal).

[0063] By configuring the storage path for environmental noise data in the field terminal system (gateway) to cloud platform 2, and configuring the indoor monitoring terminal to read environmental noise data in real time from cloud platform 2, both the field terminal system and the control center terminal system are connected to the selected communication network (Starlink satellite network). The field terminal system (gateway) and its auxiliary devices, such as portable application devices (PADs), are connected via Ethernet. The PADs connect to the Starlink satellite network via WiFi, and the indoor monitoring terminal connects to the Starlink satellite network and accesses the Internet via a wireless router. In this way, both the gateway and the indoor monitoring terminal are connected to the Internet via the Starlink satellite network and to cloud platform 2, establishing a data transmission channel and successfully building the cloud platform network system.

[0064] 4. Node environmental noise data analysis and production management: The indoor monitoring terminal reads noise data from the cloud platform 2 in real time, and the noise can be monitored in real time on the display screen.

[0065] In this embodiment, to facilitate the demonstration of noise monitoring, noise is calibrated by striking the noise node with a hammer. The process is as follows: First, the noise threshold is set to 1024 Uv. Then, the noise node is continuously struck with a hammer while the noise level is monitored. When the hammer strikes, the noise value greatly exceeds the noise threshold and is displayed as a red warning color.

[0066] Figure 5 This is a schematic diagram illustrating real-time monitoring of node environmental noise in a node environmental noise monitoring method provided in an embodiment of the present invention. Figure 5 As shown in the figure, red indicates that the set noise threshold has been exceeded. Therefore, if the environmental noise exceeds the noise threshold and continues, it is necessary to stop the data collection operation and resume production when the noise reaches an acceptable range (less than the noise threshold).

[0067] In this embodiment, the environmental noise data of nodes with high noise values ​​can be selected to view the node's sequence number. By using the pre-set node station number and corresponding sequence number layout table, the actual node station number corresponding to the node on the survey line can be obtained, and the personnel responsible for checking the station number can be notified to verify the node station number, find the source of noise, and take action.

[0068] In this embodiment, the environmental noise of different numbers of nodes on site is monitored simultaneously, and their data recovery rates are compared. Starting with 1 node, then 2, 4, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, and 100 nodes.

[0069] Figure 6 This is a schematic diagram illustrating the monitoring of node noise data for 100 nodes in a node environmental noise monitoring method provided in an embodiment of the present invention. Figure 6 As shown, the bright areas represent node noise data, while the gray areas indicate missing node noise data. The calculation is based on the area percentage.

[0070] Figure 7 This diagram illustrates the relationship between data retrieval rate and the number of nodes in a node environmental noise monitoring method provided by an embodiment of the present invention. Figure 7 As shown, the (noise) data recovery rate decreases as the number of nodes increases.

[0071] Based on the same inventive concept, such as Figure 8 As shown, this embodiment of the invention also provides a node environmental noise monitoring device, the device comprising: The network configuration module 801 is used to obtain public network information of the target work area, select the target communication network corresponding to the target public network information from the obtained public network information according to the pre-set network selection strategy, and obtain the target cloud server that matches the pre-set node environmental noise monitoring requirements according to the transmission speed provided by each cloud server. In this embodiment, the transmission speed includes, but is not limited to, upload speed and download speed. As an optional embodiment, the network configuration module 801 is specifically used for: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is less than a preset fluctuation rate threshold and an intensity that is greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the public mobile communication network.

[0072] In this embodiment, as another optional embodiment, the network configuration module 801 is further configured to: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is not less than a preset fluctuation rate threshold or an intensity that is not greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the Starlink satellite network.

[0073] In this embodiment, based on the actual situation of the public network in the target work area, either Starlink satellite network or mobile communication network is selected as the data transmission method. At the same time, a cloud server is selected as the data storage carrier of the cloud platform.

[0074] The data transmission processing module 802 is used to determine the type of node environmental noise data transmitted by the node based on the selected target communication network, and to determine the amount of node environmental noise data transmitted based on the node's data transmission capability. In this embodiment, as an optional embodiment, the data transmission processing module 802 is specifically used for: If the target communication network is a Starlink satellite network, the type of node environmental noise data transmitted by the node is determined to be centralized transmission; If the target communication network is a public mobile communication network, the type of node environmental noise data transmitted by the node is determined to be distributed transmission.

[0075] In this embodiment, as another optional embodiment, the data transmission processing module 802 is further configured to: Based on the sampling rate and transmission time interval pre-set for the node, determine the amount of node environmental noise data to be transmitted corresponding to the transmission time interval; If the data transmission capacity of a node is greater than or equal to the amount of node environmental noise data to be transmitted, the amount of node environmental noise data to be transmitted is determined as the amount of node environmental noise data to be transmitted. If the data transmission capacity of a node is less than the amount of ambient noise data to be transmitted, the root mean square (RMS) calculation is performed on the ambient noise data to be transmitted to obtain the RMS value of the ambient noise data to be transmitted, and the amount of ambient noise data to be transmitted is determined to be the RMS value.

[0076] In this embodiment, as an optional embodiment, after obtaining the root mean square value of the node environmental noise data to be transmitted and before determining that the amount of node environmental noise data to be transmitted is the root mean square value, the method further includes: If the root mean square value of the node's environmental noise data to be transmitted is greater than the node's data transmission capacity, the transmission time interval is increased. The node environmental noise data collected within the increased transmission time interval is obtained, and root mean square (RMS) calculation is performed to obtain a new RMS value, which is then used as the amount of transmitted node environmental noise data.

[0077] The network system construction module 803 is used to construct a cloud platform network system for communication between the target work area and a pre-determined control center based on the selected target communication network and target cloud server. In this embodiment, as an optional embodiment, the network system construction module 803 is specifically used for: In the field terminal of the target work area, the storage path of the node environmental noise is set to the target cloud server path; In the control terminal of the control center, the reading path for node environmental noise is set to the target cloud server path; Connect the field terminals to the target communication network, and connect the control terminals to the target communication network to construct a cloud platform network system that includes the field terminals, the target communication network, the target cloud server, and the control terminals.

[0078] In this embodiment, as an optional embodiment, connecting the field terminal to the target communication network includes: If the target communication network is a Starlink satellite network, network communication between the field terminal and the target communication network is established via WiFi. If the target communication network is a public mobile communication network, a SIM card is inserted into the field terminal to establish network communication with the target communication network, and the field terminal is a node.

[0079] In this embodiment, the storage path for node environmental noise data is set to the target cloud server path in the field terminal, such as Uniform Resource Locator (URL) information or HTTP URL information; the node environmental noise data is read from the cloud server in the control terminal. After setting the parameters, the field terminal and the control terminal are respectively connected to the target communication network.

[0080] The noise monitoring module 804 is used to transmit node environmental noise data based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results.

[0081] In this embodiment, the node environmental noise data is analyzed and processed, and the processing results are used to guide production operations.

[0082] In this embodiment, as an optional embodiment, the noise monitoring module 804 is also used to: parse the node environmental noise data to determine the geographical location information of the noise source, and control the noise source based on the geographical location information.

[0083] In this embodiment, as another optional embodiment, the noise monitoring module 804 is also used to: calculate the data recovery rate through the node environmental noise data, and evaluate the node environmental noise monitoring performance based on the data recovery rate.

[0084] Based on the same inventive concept, embodiments of the present invention also provide a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the node environmental noise monitoring method in any of the above possible implementations.

[0085] Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0086] Based on the same inventive concept, see [link to inventive concept] Figure 9This invention also provides an electronic device, including a memory 101 (e.g., non-volatile memory), a processor 102, and a computer program stored on the memory 101 and executable on the processor 102. When the processor 102 executes the program, it implements the steps of the node environmental noise monitoring method in any of the above possible implementations, which can be equivalent to the aforementioned node environmental noise monitoring device. Of course, the processor can also be used to process other data or perform calculations. This electronic device can be a PC, server, terminal, or other similar device.

[0087] like Figure 9 As shown, the electronic device may also include: memory 103, network interface 104, and internal bus 105. In addition to these components, other hardware may also be included, which will not be described in detail here.

[0088] It should be noted that the above-mentioned node environmental noise monitoring device can be implemented by software. As a device in a logical sense, it is formed by the processor 102 of the electronic device in which it is located reading the computer program instructions stored in the non-volatile memory into the memory 103 for execution.

[0089] The embodiments of the subject matter and functional operation described in this specification can be implemented in the following ways: digital electronic circuits, tangibly embodied computer software or firmware, computer hardware including the structures disclosed in this specification and their structural equivalents, or combinations thereof. Embodiments of the subject matter described in this specification can be implemented as one or more computer programs, i.e., one or more modules of computer program instructions encoded on a tangible, non-transitory program carrier for execution by a data processing apparatus or for controlling the operation of a data processing apparatus. Alternatively or additionally, the program instructions may be encoded on artificially generated propagation signals, such as machine-generated electrical, optical, or electromagnetic signals, which are generated to encode information and transmit it to a suitable receiving device for execution by the data processing apparatus. The computer storage medium may be a machine-readable storage device, a machine-readable storage substrate, a random or serial access memory device, or combinations thereof.

[0090] The processing and logic flow described in this specification can be executed by one or more programmable computers that execute one or more computer programs to perform corresponding functions by operating on input data and generating output. The processing and logic flow can also be executed by special-purpose logic circuitry—such as FPGA (Field Programmable Gate Array) or ASIC (Application-Specific Integrated Circuit), and the device can also be implemented as special-purpose logic circuitry.

[0091] Suitable computers for executing computer programs include, for example, general-purpose and / or special-purpose microprocessors, or any other type of central processing unit. Typically, the central processing unit receives instructions and data from read-only memory and / or random access memory. The basic components of a computer include a central processing unit for implementing or executing instructions and one or more memory devices for storing instructions and data. Typically, a computer will also include one or more mass storage devices for storing data, such as disks, magneto-optical disks, or optical disks, or the computer will be operatively coupled to such mass storage devices to receive data from or transfer data to them, or both. However, a computer is not required to have such devices. Furthermore, a computer can be embedded in another device, such as a mobile phone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a global positioning system (GPS) receiver, or a portable storage device such as a universal serial bus (USB) flash drive, to name a few.

[0092] Computer-readable media suitable for storing computer program instructions and data include all forms of non-volatile memory, media, and memory devices, such as semiconductor memory devices (e.g., EPROM, EEPROM, and flash memory devices), magnetic disks (e.g., internal hard disks or removable disks), magneto-optical disks, and CD-ROM and DVD-ROM disks. Processors and memory may be supplemented by or incorporated into dedicated logic circuitry.

[0093] While this specification contains numerous specific implementation details, these should not be construed as limiting the scope of any invention or the scope of the claims, but rather are primarily used to describe features of specific embodiments of a particular invention. Certain features described in the various embodiments herein may also be implemented in combination in a single embodiment. Conversely, various features described in a single embodiment may also be implemented separately in various embodiments or in any suitable sub-combination. Furthermore, while features may function in certain combinations as described above and even initially claimed in this way, one or more features from a claimed combination may be removed from that combination in some cases, and a claimed combination may refer to a sub-combination or a variation thereof.

[0094] Similarly, although the operations are depicted in a specific order in the accompanying drawings, this should not be construed as requiring these operations to be performed in the specific order shown or sequentially, or requiring all illustrated operations to be performed to achieve the desired result. In some cases, multitasking and parallel processing may be advantageous. Furthermore, the separation of various system modules and components in the above embodiments should not be construed as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.

[0095] Thus, specific embodiments of the subject matter have been described. Other embodiments are within the scope of the appended claims. In some cases, the actions recited in the claims may be performed in a different order and still achieve the desired result. Furthermore, the processes depicted in the drawings are not necessarily shown in a specific order or sequence to achieve the desired result. In some implementations, multitasking and parallel processing may be advantageous.

[0096] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0097] The above are merely specific embodiments of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for monitoring node environmental noise, characterized in that, include: Obtain public network information of the target work area, select the target communication network corresponding to the target public network information from the obtained public network information according to the pre-set network selection strategy, and obtain the target cloud server that matches the pre-set node environmental noise monitoring requirements based on the transmission speed provided by each cloud server. Based on the selected target communication network, determine the type of node environmental noise data transmitted by the node, and based on the node's data transmission capability, determine the amount of node environmental noise data transmitted. Based on the selected target communication network and target cloud server, a cloud platform network system is constructed to enable communication between the target work area and the pre-determined control center; Based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, the node environmental noise data is transmitted so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results.

2. The node environmental noise monitoring method according to claim 1, characterized in that, The step of selecting the target communication network corresponding to the target public network information from the acquired public network information according to a pre-set network selection strategy includes: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is less than a preset fluctuation rate threshold and an intensity that is greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the public mobile communication network.

3. The node environmental noise monitoring method according to claim 1, characterized in that, The step of selecting the target communication network corresponding to the target public network information from the acquired public network information according to a pre-set network selection strategy includes: If, in the public network information of the target work area, the communication signal of the public mobile communication network has an intensity fluctuation rate that is not less than a preset fluctuation rate threshold or an intensity that is not greater than a preset intensity threshold within a preset time period, then the target communication network is determined to be the Starlink satellite network.

4. The node environmental noise monitoring method according to claim 1, characterized in that, The determination of the type of node environmental noise data transmitted by the node based on the selected target communication network includes: If the target communication network is a Starlink satellite network, the type of node environmental noise data transmitted by the node is determined to be centralized transmission; If the target communication network is a public mobile communication network, the type of node environmental noise data transmitted by the node is determined to be distributed transmission.

5. The node environmental noise monitoring method according to any one of claims 1 to 4, characterized in that, The determination of the amount of transmitted node environmental noise data based on the node's data transmission capability includes: Based on the sampling rate and transmission time interval pre-set for the node, determine the amount of node environmental noise data to be transmitted corresponding to the transmission time interval; If the data transmission capacity of a node is greater than or equal to the amount of node environmental noise data to be transmitted, the amount of node environmental noise data to be transmitted is determined as the amount of node environmental noise data to be transmitted. If the data transmission capacity of a node is less than the amount of ambient noise data to be transmitted, the root mean square (RMS) calculation is performed on the ambient noise data to be transmitted to obtain the RMS value of the ambient noise data to be transmitted, and the amount of ambient noise data to be transmitted is determined to be the RMS value.

6. The node environmental noise monitoring method according to claim 5, characterized in that, After obtaining the root mean square (RMS) value of the node environmental noise data to be transmitted, and before determining that the amount of node environmental noise data to be transmitted is the RMS value, the method further includes: If the root mean square value of the node's environmental noise data to be transmitted is greater than the node's data transmission capacity, the transmission time interval is increased. The node environmental noise data collected within the increased transmission time interval is obtained, and root mean square (RMS) calculation is performed to obtain a new RMS value, which is then used as the amount of transmitted node environmental noise data.

7. The node environmental noise monitoring method according to any one of claims 1 to 4, characterized in that, The cloud platform network system, which establishes communication between the target work area and a pre-determined control center based on the selected target communication network and target cloud server, includes: In the field terminal of the target work area, the storage path of the node environmental noise is set to the target cloud server path; In the control terminal of the control center, the reading path for node environmental noise is set to the target cloud server path; Connect the field terminals to the target communication network, and connect the control terminals to the target communication network to construct a cloud platform network system that includes the field terminals, the target communication network, the target cloud server, and the control terminals.

8. A node environmental noise monitoring device, characterized in that, The node environmental noise monitoring device includes: The network configuration module is used to obtain public network information of the target work area, select the target communication network corresponding to the target public network information from the obtained public network information according to the pre-set network selection strategy, and obtain the target cloud server that matches the pre-set node environmental noise monitoring requirements based on the transmission speed provided by each cloud server. The data transmission processing module is used to determine the type of node environmental noise data transmitted by the node based on the selected target communication network, and to determine the amount of node environmental noise data transmitted based on the node's data transmission capability. The network system construction module is used to build a cloud platform network system for communication between the target work area and a pre-determined control center, based on the selected target communication network and target cloud server. The noise monitoring module is used to transmit node environmental noise data based on the constructed cloud platform network system and the determined amount of node environmental noise data to be transmitted, so that the control center can process the node environmental noise data transmitted by the cloud platform network system and adjust the production plan of the target work area based on the processing results.

9. A storage medium, characterized in that, A program or instruction is stored on a storage medium, and the program or instruction is executed by a processor to implement the steps of the node environmental noise monitoring method as described in any one of claims 1 to 7.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the node environmental noise monitoring method according to any one of claims 1 to 7.

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