Monitoring method and device for long-distance coal conveying pipeline, electronic equipment and storage medium

Abstract

The invention provides a monitoring method and device for a long-distance coal conveying pipeline, electronic equipment and a storage medium. The method comprises the following steps: acquiring modeling data of the long-distance coal conveying pipeline; based on the modeling data, constructing a three-dimensional simulation model of the long-distance coal conveying pipeline; acquiring real-time monitoring data of the long-distance coal conveying pipeline; obtaining mapping positions of various monitoring data in the real-time monitoring data in the three-dimensional simulation model; according to the mapping position, virtual space mapping of real-time monitoring data is carried out on the three-dimensional simulation model, and a dynamic monitoring graph of the three-dimensional simulation model is obtained; and performing abnormity monitoring on the real-time monitoring data of the long-distance coal conveying pipeline based on the dynamic monitoring diagram. Therefore, the long-distance coal conveying pipeline is monitored in real time, the production safety of the long-distance coal conveying pipeline is improved, and the defects that the long-distance coal conveying pipeline is long in distance, high in concealment and difficult in data monitoring are overcome.

Description

Technical Field

[0001] The present application relates to the technical field of coal transportation industry, and in particular to a monitoring method, device, electronic equipment and storage medium for a long-distance coal transportation pipeline. Background Art

[0002] At present, two-dimensional models are often used to monitor coal pipelines. The models cannot achieve the high-precision monitoring application of comprehensive digital twins, and cannot realize intuitive and unified scheduling of two-dimensional and three-dimensional and preview the real-time pipeline slurry distribution and operation status. Summary of the invention

[0003] The purpose of this application is to solve one of the technical problems in the related art at least to some extent.

[0004] To this end, the first purpose of the present application is to propose a monitoring method for a long-distance coal pipeline to achieve comprehensive and real-time monitoring of the long-distance coal pipeline.

[0005] The second objective of the present application is to provide a monitoring device for a long-distance coal pipeline.

[0006] The third objective of the present application is to provide an electronic device.

[0007] A fourth objective of the present application is to provide a computer-readable storage medium.

[0008] To achieve the above-mentioned purpose, the first aspect of the present application proposes a monitoring method for a long-distance coal pipeline, comprising: obtaining modeling data of the long-distance coal pipeline, the modeling data at least including the direction, burial depth and intersection information of the long-distance coal pipeline; based on the modeling data, constructing a three-dimensional simulation model of the long-distance coal pipeline; obtaining real-time monitoring data of the long-distance coal pipeline, wherein the real-time monitoring data at least includes at least one of environmental data, operation data and image data; obtaining the mapping position of various types of monitoring data in the real-time monitoring data in the three-dimensional simulation model; according to the mapping position, performing virtual space mapping of the real-time monitoring data to the three-dimensional simulation model to obtain a dynamic monitoring map of the three-dimensional simulation model; based on the dynamic monitoring map, performing abnormal monitoring on the real-time monitoring data of the long-distance coal pipeline.

[0009] To achieve the above-mentioned purpose, the second aspect of the present application proposes a monitoring device for a long-distance coal pipeline, including: a first acquisition module, used to acquire modeling data of the long-distance coal pipeline, wherein the modeling data at least includes the direction, burial depth and intersection information of the long-distance coal pipeline; a construction module, used to construct a three-dimensional simulation model of the long-distance coal pipeline based on the modeling data; a second acquisition module, used to acquire real-time monitoring data of the long-distance coal pipeline, wherein the real-time monitoring data at least includes at least one of environmental data, operating data and image data; a third acquisition module, used to acquire the mapping position of various types of monitoring data in the real-time monitoring data in the three-dimensional simulation model; a mapping module, used to perform virtual space mapping of the real-time monitoring data to the three-dimensional simulation model according to the mapping position, and obtain a dynamic monitoring map of the three-dimensional simulation model; a monitoring module, used to perform abnormal monitoring of the real-time monitoring data of the long-distance coal pipeline based on the dynamic monitoring map.

[0010] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: a processor; and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory, so that the processor can execute the long-distance coal pipeline monitoring method described in the first aspect embodiment above.

[0011] To achieve the above objectives, the fourth aspect of the present application proposes a computer-readable storage medium on which a computer program is stored, and the computer instructions are used to enable the computer to execute the long-distance coal pipeline monitoring method described in the first aspect of the above embodiment.

[0012] The monitoring method, device, electronic device and storage medium of the long-distance coal pipeline provided in the present application can obtain a three-dimensional simulation model of the long-distance coal pipeline by determining the modeling data of the long-distance coal pipeline and performing three-dimensional simulation modeling based on the modeling data, and then map the real-time monitoring data of the pipeline to the three-dimensional simulation model to obtain a dynamic monitoring diagram, so that the long-distance coal pipeline can be digitally visualized and monitored based on the dynamic monitoring diagram, thereby realizing real-time monitoring of the long-distance coal pipeline, improving the production safety of the long-distance coal pipeline, and solving the problems of the long-distance coal pipeline being long distance, high concealment and difficult data monitoring.

[0013] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0015] Figure 1 A schematic flow chart of a monitoring method for a long-distance coal pipeline provided in an embodiment of the present application;

[0016] Figure 2 A schematic flow chart of another method for monitoring a long-distance coal pipeline provided in an embodiment of the present application;

[0017] Figure 3 Provided for the embodiments of the present application is a structural diagram of a monitoring system and an operating environment;

[0018] Figure 4 Provided for the embodiment of the present application is a schematic diagram of the connection between the monitoring system and the operating environment;

[0019] Figure 5 A framework diagram of the monitoring system provided in the embodiment of the present application;

[0020] Figure 6 A schematic diagram of the structure of a monitoring device for a long-distance coal pipeline provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0022] The following describes the monitoring method and device for a long-distance coal pipeline in an embodiment of the present application with reference to the accompanying drawings.

[0023] Figure 1 is a flow chart of a monitoring method for a long-distance coal pipeline provided in accordance with an embodiment of the present application, such as Figure 1 As shown, the monitoring method of the long-distance coal pipeline of the embodiment of the present application includes but is not limited to the following steps:

[0024] S101, obtaining modeling data of a long-distance coal transportation pipeline, where the modeling data at least includes the direction, burial depth and intersection information of the long-distance coal transportation pipeline.

[0025] It should be noted that the execution subject of the monitoring method for a long-distance coal pipeline provided in the embodiment of the present application is an electronic device, which may be a terminal device. Optionally, the terminal device may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (PDA), etc., and the non-mobile electronic device may be a personal computer (PC), a television, etc. The embodiment of the present application is not specifically limited.

[0026] In some embodiments, geographic data of a long-distance coal pipeline may be collected as modeling data of the long-distance coal pipeline, so as to generate a model based on the modeling data.

[0027] In some embodiments, by collecting geographic data such as the pipeline direction, buried depth, and intersection information of the long-distance coal pipeline, modeling can be performed based on the above geographic data. In other words, the modeling data of the long-distance coal pipeline at least includes the direction, buried depth, and intersection information of the long-distance coal pipeline.

[0028] Optionally, the direction, buried depth and intersection information of the long-distance coal pipeline can be collected based on Geographic Information System (GIS) data collection equipment, wherein the GIS data collection equipment includes at least one of a global positioning system GPS receiver, a drone, a laser scanner and a GIS data collector.

[0029] S102, constructing a three-dimensional simulation model of a long-distance coal pipeline based on the modeling data.

[0030] In some embodiments, before modeling a long-distance coal pipeline, the collected modeling data may be preprocessed, such as denoising, filtering, and other preprocessing operations, to improve the data quality of the modeling data and further enhance the accuracy of the modeling.

[0031] In some embodiments, three-dimensional modeling can be performed based on modeling data based on three-dimensional simulation software with GIS function, so as to obtain a three-dimensional simulation model of a long-distance coal pipeline.

[0032] In some embodiments, during the process of three-dimensional modeling based on modeling data, the modeling data can provide basic data for the three-dimensional simulation model. In order to improve the authenticity of the three-dimensional simulation model, the historical operation data of the long-distance coal pipeline can be obtained, and then three-dimensional simulation modeling can be performed based on the historical operation data and the modeling data to obtain a three-dimensional simulation model of the long-distance coal pipeline.

[0033] S103, acquiring real-time monitoring data of the long-distance coal pipeline, wherein the real-time monitoring data includes at least one of environmental data, operation data and image data.

[0034] In some embodiments, the long-distance coal pipeline may be monitored in real time based on a variety of different types of sensors to obtain environmental data, operating data, and image data of the long-distance coal pipeline as real-time monitoring data.

[0035] In some embodiments, environmental data, operating data and image data are obtained to centrally monitor the operation of slurry in long-distance coal pipelines, geological conditions along the pipeline, climate change conditions, and changes in pressure detection points.

[0036] Optionally, meteorological data and ecological data of the environment in which the long-distance coal pipeline is located are obtained, and the meteorological data and ecological data are used as environmental data.

[0037] Optionally, the operation status of the slurry in the long-distance coal transportation pipeline and the changes in the pressure detection points are obtained as the operation data.

[0038] Optionally, by collecting images of the long-distance coal transportation pipeline, image data of the long-distance coal transportation pipeline can be obtained.

[0039] S104, obtaining mapping positions of various types of monitoring data in the real-time monitoring data in the three-dimensional simulation model.

[0040] In some embodiments, data mapping refers to the process of establishing an association between one data format or data set and another data format or data set. For example, location data may be mapped to corresponding location points in a model.

[0041] In some embodiments, sampling positions of various types of monitoring data in the real-time monitoring data are obtained, and the sampling positions are used as mapping positions in the three-dimensional simulation model.

[0042] S105, performing virtual space mapping of the real-time monitoring data to the three-dimensional simulation model according to the mapping position, to obtain a dynamic monitoring map of the three-dimensional simulation model.

[0043] In some embodiments, mapping rules are formulated by determining the type and characteristics of real-time monitoring data and the structure and function of the three-dimensional simulation model, wherein the mapping rules include data conversion methods, mapping accuracy requirements, data visualization methods, etc.

[0044] Furthermore, the virtual position of the real-time monitoring data mapped to the three-dimensional simulation model can be determined according to the mapping rules, and the mapping relationship between the mapping position and the virtual position can be determined, so that the real-time monitoring data can be mapped to the three-dimensional simulation model according to the mapping relationship, so that the three-dimensional simulation model can generate a dynamic monitoring map based on the mapped real-time monitoring data.

[0045] Optionally, the virtual location can accurately reflect the spatial distribution and change trend of the real-time monitoring data.

[0046] It is understandable that the dynamic monitoring chart is an intuitive, real-time data visualization tool that can show the state changes of long-distance coal pipelines at different time points. This chart usually contains data in multiple dimensions, such as pressure, flow, temperature, etc. Through the real-time update and comparison of these data, abnormal conditions in pipeline operation can be quickly identified.

[0047] S106, based on the dynamic monitoring diagram, performing abnormal monitoring on the real-time monitoring data of the long-distance coal pipeline.

[0048] In some embodiments, real-time abnormality monitoring can be performed based on a dynamic monitoring diagram of a long-distance coal pipeline to ensure that when an abnormality occurs in the long-distance coal pipeline, an early warning is given in time to avoid losses.

[0049] In some embodiments, by determining the abnormal data range of the long-distance coal pipeline in an abnormal state and judging whether the real-time monitoring data is within the abnormal data range, it is determined whether an abnormality occurs in the long-distance coal pipeline, and when an abnormality occurs, the location of the abnormality is determined according to the dynamic monitoring map.

[0050] In response to the real-time monitoring data being within the abnormal data range, it is determined that an abnormality has occurred in the long-distance coal pipeline. That is, if any of the environmental data, operating data and image data is within the abnormal data range, it is determined that an abnormality has occurred in the long-distance coal pipeline.

[0051] In response to the real-time monitoring data not being within the abnormal data range, it is determined that there is no abnormality in the long-distance coal pipeline. That is, if the environmental data, operation data and image data are all not within the abnormal data range, it is determined that there is no abnormality in the long-distance coal pipeline.

[0052] In the monitoring method for a long-distance coal pipeline provided in an embodiment of the present application, by determining the modeling data of the long-distance coal pipeline and performing three-dimensional simulation modeling based on the modeling data, a three-dimensional simulation model of the long-distance coal pipeline can be obtained, and then the real-time monitoring data of the pipeline is mapped to the three-dimensional simulation model to obtain a dynamic monitoring diagram, so that digital visualization monitoring of the long-distance coal pipeline can be performed based on the dynamic monitoring diagram, thereby realizing real-time monitoring of the long-distance coal pipeline, improving the production safety of the long-distance coal pipeline, and solving the problems of the long-distance coal pipeline being long distance, high concealment, and difficult data monitoring.

[0053] Figure 2 is a flow chart of a monitoring method for a long-distance coal pipeline provided in accordance with an embodiment of the present application, such as Figure 2 As shown, the monitoring method of the long-distance coal pipeline of the embodiment of the present application includes but is not limited to the following steps:

[0054] S201, obtaining modeling data of a long-distance coal transportation pipeline, where the modeling data at least includes the direction, burial depth and intersection information of the long-distance coal transportation pipeline.

[0055] In the embodiment of the present application, the implementation method of step S201 can be implemented by any method in the embodiments of the present application, which is not limited here and will not be repeated.

[0056] S202: construct a three-dimensional simulation model of a long-distance coal pipeline based on the modeling data.

[0057] In the embodiment of the present application, the implementation method of step S202 can be implemented by any method in the embodiments of the present application, which is not limited here and will not be repeated.

[0058] S203, obtaining real-time monitoring data of the long-distance coal pipeline.

[0059] In some embodiments, historical operation data of long-distance coal pipelines may also be obtained and mapped as real-time monitoring data.

[0060] In some embodiments, environmental data may provide environmental parameters for the three-dimensional simulation model; operating data and historical operating data may provide operating data for the three-dimensional simulation model; and image data may provide appearance data for the three-dimensional simulation model.

[0061] In some embodiments, meteorological data and ecological data of the environment in which the long-distance coal pipeline is located are collected as environmental data, wherein the meteorological data includes data such as temperature, humidity, and rainfall; and the ecological data includes data such as soil and vegetation.

[0062] Optionally, the collected meteorological data and ecological data may be preprocessed, such as denoising, filtering, etc., to improve data quality and obtain environmental data.

[0063] In some embodiments, based on the monitoring sensors preset in the long-distance coal pipeline, the pressure data, flow data and vibration data of the long-distance coal pipeline are collected as the operation data. Optionally, the collected pressure data, flow data and vibration data can be calibrated and verified to ensure the accuracy of the data and obtain the operation data.

[0064] In some embodiments, multiple cameras installed along the long-distance coal pipeline can be used to collect images of the long-distance coal pipeline to obtain image data, which includes video images. Optionally, the video images can be compressed and encoded for network transmission and storage.

[0065] In some embodiments, maintenance data and fault data of the long-distance coal transportation pipeline are obtained as historical operation data. Optionally, the historical operation data may be cleaned and sorted for subsequent use.

[0066] S204, obtaining mapping positions of various types of monitoring data in the real-time monitoring data in the three-dimensional simulation model.

[0067] In the embodiment of the present application, the implementation method of step S204 can be implemented by any method in the embodiments of the present application, which is not limited here and will not be repeated.

[0068] S205: Acquire a mapping relationship between the mapping position and the virtual position in the virtual space.

[0069] In some embodiments, mapping rules are formulated by determining the type and characteristics of real-time monitoring data and the structure and function of the three-dimensional simulation model, wherein the mapping rules include data conversion methods, mapping accuracy requirements, data visualization methods, etc.

[0070] Furthermore, a virtual position where the real-time monitoring data is mapped to the three-dimensional simulation model may be determined according to a mapping rule, where the virtual position represents the position to which the real-time monitoring position is mapped.

[0071] In some embodiments, the mapping relationship between the mapping position and the virtual position is determined. Optionally, the mapping relationship is obtained by setting a marker point, a path or an area in the three-dimensional simulation model and binding the real-time monitoring data with the marker point, the path or the area.

[0072] S206, based on the mapping relationship, mapping the real-time monitoring data to the virtual position of the three-dimensional simulation model to obtain a dynamic monitoring map.

[0073] In some embodiments, the real-time monitoring data is mapped to a virtual position in the three-dimensional simulation model according to the established mapping relationship. The real-time monitoring data is imported into the three-dimensional simulation model, and the mapping position and the virtual position are matched according to the mapping relationship, thereby mapping the real-time monitoring data to the virtual position of the three-dimensional simulation model.

[0074] In some embodiments, during the mapping process, it is necessary to ensure the accuracy and consistency of the data, as well as the visualization effect of the model.

[0075] In some embodiments, a dynamic monitoring map can be generated based on the mapped data. Optionally, the dynamic monitoring map includes a heat map, a contour map, a vector field map, etc., which are used to intuitively display the spatial distribution and change trend of the real-time monitoring data.

[0076] S207, based on the dynamic monitoring diagram, perform abnormal monitoring on the real-time monitoring data of the long-distance coal pipeline.

[0077] In some embodiments, it is possible to first determine whether an abnormality occurs in a long-distance coal pipeline based on real-time monitoring data, and when an abnormality occurs, determine the abnormal location based on a dynamic monitoring diagram.

[0078] In some embodiments, the abnormal data range in which the long-distance coal pipeline is in an abnormal state can be determined, and it can be determined whether the real-time monitoring data is within the abnormal data range to perform abnormal monitoring.

[0079] In some embodiments, a data threshold may be set, and if the data is greater than the threshold, it may be determined that the long-distance coal pipeline is in an abnormal state. In other words, the data greater than the threshold may be regarded as an abnormal data range.

[0080] In some embodiments, the real-time monitoring data includes at least one of environmental data, operating data, and image data, and for each of the environmental data, operating data, and image data, an abnormal data range of each data can be determined.

[0081] In some embodiments, by determining whether the real-time monitoring data is within the abnormal data range, it is possible to monitor the abnormalities of the long-distance coal pipeline.

[0082] Optionally, in response to any one of the environmental data, operating data and image data being within the abnormal data range, it is determined that an abnormality has occurred in the long-distance coal pipeline, and when the abnormality is determined, the abnormal location of the long-distance coal pipeline is determined based on the dynamic monitoring map.

[0083] Optionally, in response to the environmental data, the operating data and the image data being outside the abnormal data range, it is determined that no abnormality occurs in the long-distance coal transportation pipeline.

[0084] In the monitoring method for a long-distance coal pipeline provided in an embodiment of the present application, by acquiring real-time monitoring data of the long-distance coal pipeline and mapping based on the real-time monitoring data, a fusion of multiple data can be achieved, thereby achieving comprehensive monitoring visualization of the long-distance coal pipeline.

[0085] On the basis of the above embodiments, a monitoring system can be generated based on the monitoring method of the long-distance coal pipeline proposed in this application. Multiple real-time or historical database servers and multiple industrial control servers can be used to build a system operating environment to build a network environment and deploy the system for a server hardware device cluster. Figure 3 The diagram shows the structure of the monitoring system and the operating environment. Figure 3 The monitoring system consists of a geographic information data acquisition module, an environmental data acquisition module, a monitoring sensor data acquisition module, a pipeline operation history data acquisition module, and a pipeline monitoring camera, and is connected to a core switch, a real-time or historical database server, and an industrial control server. The connection method is as follows: Figure 4 shown. Figure 3 There are 5 pipeline surveillance cameras.

[0086] Optionally, the cluster environment consists of a presentation layer, a communication layer, a service layer, and a data layer, such as Figure 5 In the framework diagram of the monitoring system shown in the figure, the presentation layer is mainly composed of visual network product interface design, 3D modeling and animation visualization technology; the communication layer is composed of network communication (Transmission Control Protocol / Internet Protocol, TCP / IP), socket and hypertext transfer protocol (Hypertext Transfer Protocol, HTTP) protocol; the service layer is mainly composed of object linking and embedding process control (OLE for Process Control, OPC) interface, presentation layer state transfer (Representational State Transfer, RESTful) data interface, distributed resource management, real-time computing, offline computing; the data layer is composed of data warehouse, time series database, distributed file storage and high-speed memory storage database.

[0087] Among them, the presentation layer, that is, the system front end, is used to display the three-dimensional simulation model of the long-distance coal pipeline to users; the service layer, that is, the system back end, is used for data processing, storage and forwarding.

[0088] In some embodiments, the system backend may receive a model building request for a long-distance coal pipeline sent by the frontend, and call a data interface based on the model building request to obtain collected modeling data and send the data to the frontend.

[0089] In some embodiments, Figure 5 The data layer in Figure 3 The geographic information data acquisition module, environmental data acquisition module, monitoring sensor data acquisition module, pipeline operation history data acquisition module and pipeline monitoring camera data acquisition module are used to obtain modeling data for model construction.

[0090] That is to say, the service layer can obtain modeling data from the data layer by calling the OPC interface and the RESTful data interface, and perform modeling based on the modeling data to obtain a three-dimensional simulation model of the long-distance coal pipeline, and display it on the presentation layer.

[0091] In some embodiments, the data layer can also be used to store data by establishing a database and storing the modeling data. Alternatively, the modeling data can be stored based on the time series by determining the time series of the modeling data. Alternatively, the modeling data can be stored in a distributed manner.

[0092] In some embodiments, data communication between the presentation layer and the service layer, and between the service layer and the data layer can be based on TCP / IP, Socket, and HTTP protocols provided by the communication layer.

[0093] Corresponding to the monitoring methods for long-distance coal pipelines proposed in the above-mentioned embodiments, an embodiment of the present application further proposes a monitoring device for a long-distance coal pipeline. Since the monitoring device for a long-distance coal pipeline proposed in the embodiment of the present application corresponds to the monitoring methods for long-distance coal pipelines proposed in the above-mentioned embodiments, the implementation method of the above-mentioned long-distance coal pipeline monitoring method is also applicable to the monitoring device for a long-distance coal pipeline proposed in the embodiment of the present application, and will not be described in detail in the following embodiments.

[0094] In order to implement the above embodiment, the present application also proposes a monitoring device for a long-distance coal pipeline.

[0095] Figure 6 A schematic diagram of the structure of a monitoring device for a long-distance coal pipeline provided in an embodiment of the present application.

[0096] like Figure 6 As shown, the monitoring device 600 for the long-distance coal pipeline includes:

[0097] The first acquisition module 601 is used to acquire modeling data of a long-distance coal transportation pipeline, where the modeling data at least includes the direction, burial depth and intersection information of the long-distance coal transportation pipeline;

[0098] A construction module 602 is used to construct a three-dimensional simulation model of a long-distance coal transportation pipeline based on the modeling data;

[0099] A second acquisition module 603 is used to acquire real-time monitoring data of a long-distance coal pipeline, wherein the real-time monitoring data includes at least one of environmental data, operation data and image data;

[0100] The third acquisition module 604 is used to obtain the mapping positions of various monitoring data in the real-time monitoring data in the three-dimensional simulation model;

[0101] A mapping module 605 is used to perform virtual space mapping of real-time monitoring data to the three-dimensional simulation model according to the mapping position, so as to obtain a dynamic monitoring map of the three-dimensional simulation model;

[0102] The monitoring module 606 is used to perform abnormal monitoring on the real-time monitoring data of the long-distance coal pipeline based on the dynamic monitoring diagram.

[0103] In a possible implementation of an embodiment of the present application, the first acquisition module 601 is also used to collect the direction, burial depth and intersection information of long-distance coal pipelines based on geographic information system GIS data collection equipment, wherein the GIS data collection equipment includes at least one of a global positioning system GPS receiver, a drone, a laser scanner and a GIS data collector.

[0104] In a possible implementation of an embodiment of the present application, the second acquisition module 603 is also used to: collect meteorological data and ecological data of the environment in which the long-distance coal pipeline is located as environmental data; based on the preset monitoring sensors of the long-distance coal pipeline, collect pressure data, flow data and vibration data of the long-distance coal pipeline as operation data; perform image acquisition on the long-distance coal pipeline to obtain image data, and the image data includes video images.

[0105] In a possible implementation of an embodiment of the present application, the mapping module 605 is also used to: obtain a mapping relationship between a mapping position and a virtual position in a virtual space; based on the mapping relationship, map the real-time monitoring data to the virtual position of the three-dimensional simulation model to obtain a dynamic monitoring map.

[0106] In a possible implementation of an embodiment of the present application, the monitoring module 606 is also used to: determine the abnormal data range in which the long-distance coal pipeline is in an abnormal state; determine that an abnormality has occurred in the long-distance coal pipeline in response to any one of the environmental data, operating data and image data being within the abnormal data range; and determine the abnormal position of the long-distance coal pipeline based on a dynamic monitoring diagram.

[0107] In a possible implementation of the embodiment of the present application, the monitoring module 606 is further used to: in response to the environmental data, the operating data and the image data being outside the abnormal data range, determine that there is no abnormality in the long-distance coal pipeline.

[0108] In a possible implementation of the embodiment of the present application, the device also includes: receiving a model building request for a long-distance coal pipeline sent by the front end, and calling a data interface based on the model building request to obtain collected modeling data and send it to the front end.

[0109] In a possible implementation manner of the embodiment of the present application, the device also includes: determining a time series of the modeling data; storing the modeling data based on the time series; or, distributing and storing the modeling data.

[0110] In the monitoring device for a long-distance coal pipeline provided in the embodiment of the present application, by determining the modeling data of the long-distance coal pipeline and performing three-dimensional simulation modeling based on the modeling data, a three-dimensional simulation model of the long-distance coal pipeline can be obtained, and then the real-time monitoring data of the pipeline is mapped to the three-dimensional simulation model to obtain a dynamic monitoring diagram, so that digital visualization monitoring of the long-distance coal pipeline can be performed based on the dynamic monitoring diagram, thereby realizing real-time monitoring of the long-distance coal pipeline, improving the production safety of the long-distance coal pipeline, and solving the problems of the long-distance coal pipeline such as long distance, high concealment, and difficulty in data monitoring.

[0111] It should be noted that the above explanation of the embodiment of the monitoring method for a long-distance coal pipeline is also applicable to the monitoring device for a long-distance coal pipeline of this embodiment, and will not be repeated here.

[0112] In order to implement the above embodiments, the present application also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method provided by the above embodiments.

[0113] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the methods provided by the above embodiments.

[0114] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the methods provided by the above embodiments when executed by a processor.

[0115] The collection, storage, use, processing, transmission, provision and application of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0116] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0117] This application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, this application is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, risks can be minimized by limiting data collection and deleting data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0118] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0119] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0120] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0121] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0122] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0123] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0124] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0125] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A monitoring method for a long-distance coal pipeline, characterized in that: The method comprises: Acquire modeling data of a long-distance coal transportation pipeline, wherein the modeling data at least includes the direction, burial depth and intersection information of the long-distance coal transportation pipeline; Based on the modeling data, construct a three-dimensional simulation model of the long-distance coal transportation pipeline; Acquire real-time monitoring data of the long-distance coal transportation pipeline, wherein the real-time monitoring data includes at least one of environmental data, operation data and image data; Obtaining mapping positions of various types of monitoring data in the real-time monitoring data in the three-dimensional simulation model; According to the mapping position, a virtual space mapping of the real-time monitoring data is performed on the three-dimensional simulation model to obtain a dynamic monitoring map of the three-dimensional simulation model; Based on the dynamic monitoring diagram, the real-time monitoring data of the long-distance coal pipeline is monitored for abnormalities.

2. The method according to claim 1, characterized in that The obtaining of modeling data of a long-distance coal transportation pipeline includes: Based on geographic information system (GIS) data collection equipment, the direction, burial depth and intersection information of the long-distance coal pipeline are collected, wherein the GIS data collection equipment includes at least one of a global positioning system (GPS) receiver, an unmanned aerial vehicle (UAV), a laser scanner and a GIS data collector.

3. The method according to claim 2, characterized in that The obtaining of real-time monitoring data of the long-distance coal transportation pipeline includes: Collecting meteorological data and ecological data of the environment in which the long-distance coal transportation pipeline is located as the environmental data; Based on the monitoring sensors preset in the long-distance coal transportation pipeline, the pressure data, flow data and vibration data of the long-distance coal transportation pipeline are collected as the operation data; The long-distance coal transportation pipeline is imaged to obtain the image data, which includes a video image.

4. The method according to claim 1, characterized in that: The step of performing virtual space mapping of the real-time monitoring data to the three-dimensional simulation model according to the mapping position to obtain a dynamic monitoring diagram of the three-dimensional simulation model includes: Acquire a mapping relationship between the mapping position and a virtual position in the virtual space; Based on the mapping relationship, the real-time monitoring data is mapped to the virtual position of the three-dimensional simulation model to obtain the dynamic monitoring map.

5. The method according to claim 1, characterized in that The abnormal monitoring of the real-time monitoring data of the long-distance coal transportation pipeline based on the dynamic monitoring diagram includes: Determining the abnormal data range in which the long-distance coal transportation pipeline is in an abnormal state; In response to any one of the environmental data, the operating data and the image data being within the abnormal data range, determining that an abnormality occurs in the long-distance coal transportation pipeline; Based on the dynamic monitoring diagram, the abnormal position of the long-distance coal pipeline is determined.

6. The method according to claim 5, characterized in that The method further comprises: In response to the environmental data, the operating data and the image data being outside the abnormal data range, it is determined that no abnormality occurs in the long-distance coal transportation pipeline.

7. The method according to claim 1, characterized in that The method further comprises: A model building request for the long-distance coal transportation pipeline sent by the front end is received, and a data interface is called based on the model building request to obtain the collected modeling data and send it to the front end.

8. The method according to claim 1, characterized in that The method further comprises: determining a time series of the modeling data; storing the modeling data based on the time series; or, The modeling data is stored in a distributed manner.

9. A monitoring device for a long-distance coal pipeline, characterized in that: The device comprises: A first acquisition module is used to acquire modeling data of a long-distance coal transportation pipeline, wherein the modeling data at least includes the direction, burial depth and intersection information of the long-distance coal transportation pipeline; A construction module, used to construct a three-dimensional simulation model of the long-distance coal transportation pipeline based on the modeling data; A second acquisition module is used to acquire real-time monitoring data of the long-distance coal transportation pipeline, wherein the real-time monitoring data includes at least one of environmental data, operation data and image data; A third acquisition module is used to obtain the mapping positions of various types of monitoring data in the real-time monitoring data in the three-dimensional simulation model; A mapping module, used for performing virtual space mapping of the real-time monitoring data to the three-dimensional simulation model according to the mapping position, so as to obtain a dynamic monitoring map of the three-dimensional simulation model; A monitoring module is used to perform abnormal monitoring on the real-time monitoring data of the long-distance coal transportation pipeline based on the dynamic monitoring diagram.

10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

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