| A coal mine dynamic disaster such as a water inrush,rock burst,coal or gas explosion has both high frequency and high-risk characteristics.Underground electrical and electromagnetic methods detection can be used to predict and forecast these events.For this job,two methods are typically used: Direct Current Method(DCM)and Transient Electromagnetic Method(TEM).The research on the tensor resistivity provides the theoretical basis for the mine fixed-point real-time monitoring method.On the one hand,the detection data collection,processing,and interpretation results require high reliability.There are,however,insufficient professionals,and their skills levels differ greatly.On the other hand,the real-time monitoring method of tensor resistivity lacks special equipment and data collection transmission control systems.With the increasing coal mining depth in China,the goal-setting of carbon neutrality and the peak of carbon dioxide emissions,and the impact of COVID-19,it is urgent to develop a cooperative processing and interpretation system of underground electrical and electromagnetic methods in coal mines.In this paper,we present a systematic analysis of the data collection and processing of underground electromagnetic and electrical methods.Guided by sensory mine internet of things theory.An overall solution based on cloud technology is presented for the acquisition,processing,and interpretation of underground electrical data.We design a remote-control system for real-time monitoring's data collection and transmission of the tensor resistance using the cloud distributed system,which implements the online workflow of the mine's electrical advanced detection,multiple data processing algorithms,and data visualization methods.The main contributions of this paper are as follows:(1)The co-operative work mode of underground electrical lead survey method is introduced according to the evolution theory of the internet software architecture and Enterprise Resource Planning(ERP)concept of project management after deeply investigating the personnel organizational form,the task division,and the workflow.Human resources,material resources,and basic data resources can be integrated.The work flow can be optimized.It runs the entire process of detection task release,design,and audit of the geophysical prospecting project,data collection,and quality control,data processing,report preparation,and audit,delivery,and acceptance.A geologic information database is set up.Using the We Chat push notification service,the system realizes the function of data changes notifications within the workflow.(2)The underground tensor resistivity monitoring system is urgent to develop special instrument and software.The intelligent remote-control method of the tensor resistivity data acquisition equipment is presented.The independent inspection of the working status of the tensor electrical instrument sub-station equipment is implemented.The control and data acquisition program of the master station equipment and the Industrial PC are developed.The data transmission protocol and cloud storage structure are defined.The intelligent remote-control system of the tensor resistivity method instrument is completed and the real-time monitoring method of the underground coal mine is implemented.(3)Based on cloud computing theory,a method for underground electrical data processing and visualization using a cloud-based distributed architecture is presented.Statistical properties of heterogeneous data from different transient electromagnetic instruments are analyzed,and their normalized structures are presented.On cloud systems,we implement algorithms for single-point filtering and interception,multichannel curve generation,and apparent resistivity calculation.We also develop an isosurface generation method for cloud systems.A distributed application program is used to process the data,then the data is transmitted to the web front end program,then the web URL code with the data is transmitted to the client Web browser through the Internet,where the apparent resistivity isosurface can be displayed using Web GL.Cloud-based underground electrical data collection,processing,and interpretation are supported using Java,Python,and Net Core C#.Through the gateway,data can be exchanged,and Nginx implements load balancing.Tensor's acquisition,transmission,and control programs are written in C.Real-time monitoring data are transmitted using the TCP/IP protocol to the Industrial PC and then synchronized with the cloud servers.Windows Form,the application for debugging and monitoring software on industrial PCs,is written in C#. |
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