Internal flow monitoring system for mine paste filling anti-blocking pipe

Abstract

The invention relates to the technical field of flow monitoring, and discloses an internal flow monitoring system for a mine paste filling anti-blocking pipe. Comprising a filling pipeline identification module, a risk pipeline analysis module, a pipeline analogue simulation module, a simulated pipeline simulation model, an attenuation rate calculation module, a flow attenuation rate calculation module, a pipeline flow early warning module and a pipeline flow early warning module, wherein the filling pipeline identification module is used for identifying filling pipelines in a filling pipe network; the risk pipeline analysis module is used for identifying risk pipelines with blockage risks; corresponding flow early warning information is formulated; according to the method, the flow change conditions of the risk pipeline at different time lines can be continuously monitored, and meanwhile, an analysis basis can be provided for the probability and severity of paste blockage in a subsequent filling pipe network; the dynamic change trend of the paste flow in the filling pipe network is accurately and flexibly monitored from the physical structure level and the virtual digital level, and the phenomenon that the filling pipe network is blocked by the paste is effectively avoided.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of flow monitoring, more particularly, the present application relates to a mine paste filling anti-blocking pipe internal flow monitoring system. BACKGROUND

[0002] In the process of mine paste filling, the paste is transported to the goaf through the filling pipe network to realize safe and efficient ground pressure management and solid waste resource utilization effect. Due to the characteristics of high concentration and high viscosity of the paste, the phenomenon of filling pipe blockage may occur due to uneven flow rate, sedimentation and accumulation or local solidification during long-distance pipeline transportation, thereby seriously affecting the working efficiency of paste filling, and even may cause pipeline burst and other hidden dangers. Therefore, it is necessary to monitor and analyze the flow of paste in the filling pipe network.

[0003] The patent application with publication number CN118443112A discloses a cooling liquid flow monitoring method and system, which includes obtaining a first flow through a first water pipe, calculating an actual flow ratio between the first flow and a bypass flow, determining whether the actual flow ratio is less than a standard flow ratio, and if the actual flow ratio is less than the standard flow ratio, determining that an abnormal phenomenon occurs in the server water cooling system and issuing a prompt information for reminding the user. The system determines whether a blockage phenomenon occurs in the cooling liquid treatment device by determining whether the actual flow ratio is less than the standard flow ratio, without making special structural changes to monitor whether a blockage occurs in the server water cooling system. The existing mine paste filling flow monitoring usually uses physical level monitoring means and combines the data detected by multiple sensors to perform offline simulation operation of the paste flow, so as to monitor the flow change of the paste. However, this method only analyzes the flow of the filling pipe network at the physical structure level, cannot combine the real-time flow in the filling pipe network with the dynamic digital model, cannot simulate and analyze the real-time dynamic change of the paste flow in the filling pipe network, has limitations in flow monitoring dimension, and cannot accurately analyze the dynamic attenuation law of the paste in the filling process and accurately determine the development trend of the paste blockage risk in the filling pipe network.

[0004] In view of this, the present application provides a mine paste filling anti-blocking pipe internal flow monitoring system to solve the above problems. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art and achieve the above-mentioned purposes, the present application provides the following technical scheme: a mine paste filling anti-blocking pipe internal flow monitoring system applied to a flow monitoring platform, comprising: The filling pipeline identification module marks the pumping nodes and the filling nodes in the filling pipe network, determines the pipe type of the filling pipe where the pumping nodes and the filling nodes are located, and identifies the filling pipeline in the filling pipe network based on the paste filling rule; The risk pipeline analysis module collects the basic pipeline parameters of the filling pipeline, calculates the theoretical flow of the filling pipeline by combining the fluid mechanics algorithm, performs anti-blocking analysis on the theoretical flow, determines whether there is a blocking risk in the filling pipeline, and identifies the risk pipeline with the blocking risk; The pipeline simulation simulation module collects the structural characteristics of the risk pipeline, constructs a pipeline structure model, collects the flow characteristics of the risk pipeline in real time, maps the flow characteristics to the pipeline structure model, and simulates a pipeline simulation model; The decay rate calculation module plans a monitoring interval based on the flow monitoring criterion, simulates the interval flow of the pipeline simulation model in the monitoring interval, and calculates the flow decay rate of the risk pipeline; The pipeline flow early warning module analyzes the decay trend of the flow decay rate, divides the risk pipeline into high-risk pipelines and low-risk pipelines, and formulates corresponding flow early warning information.

[0006] Further, the pipe type includes a main pipe and an auxiliary pipe; The step of determining the pipe type is: The design drawing of the filling pipe network is queried, and the pumping station, A goaf and B filling pipes are marked one by one in the design drawing. The position of the pumping station is recorded as the pumping node, and the position of the A goaf is recorded as the filling node; When the pipe network node connected with the filling pipe is the pumping node, the filling pipe is recorded as the main pipe; When the pipe network node connected with the filling pipe is the filling node, the filling pipe is recorded as the auxiliary pipe.

[0007] Further, the paste filling rule is that one filling pipeline corresponds to one filling node; The step of identifying the filling pipeline is: According to the order of the A auxiliary pipes passed through when the mine filling paste is pumped, the A auxiliary pipes are sequentially numbered in ascending order, with 1 as the first number; In the order from small to large, taking the pumping node as the starting point and the A filling nodes as the end points, the main pipes and auxiliary pipes located between the starting point and the A end points are respectively summarized to generate A filling pipelines.

[0008] Further, the basic pipeline parameters include pipeline pressure difference, pipeline radius, paste viscosity and pipeline length; The step of determining whether there is a blocking risk is: The real-time flow at the outlet position of the A filling pipelines is detected one by one by the flow sensor and recorded as the actual flow; The flow difference ratio is calculated by comparing the theoretical flow with the corresponding actual flow, and comparing the difference with the theoretical flow; When the flow difference ratio is greater than or equal to the calibration difference ratio, it is determined that the filling pipeline has a risk of blockage; When the flow difference ratio is less than the calibration difference ratio, it is determined that the filling pipeline does not have a risk of blockage.

[0009] Further, the structural features include the main pipe length, the auxiliary pipe length and the pipeline diameter; The steps of constructing the pipeline structure model are: The position distribution of the main pipe and the auxiliary pipe in the D risk pipelines is queried one by one through the design drawing, and the pipeline contour consistent with the position distribution of the main pipe and the auxiliary pipe is constructed in the three-dimensional space respectively, obtaining D pipeline contours; The main pipe contour and the auxiliary pipe contour in the D pipeline contours are marked, and the lengths of the main pipe contour and the auxiliary pipe contour are adjusted to the same amplitude as the main pipe length and the auxiliary pipe length respectively; The diameters of the adjusted main pipe contour and the auxiliary pipe contour are adjusted to the same amplitude as the pipeline diameter, and D pipeline structure models are constructed.

[0010] Further, the flow characteristics include pumping pressure, filling pressure, unit flow, local temperature and local flow rate; The steps of simulating the pipeline simulation model are: The pumping pressure, filling pressure and unit flow of the D risk pipelines are summarized to generate D first mapping sets; First mapping positions are established on the D pipeline structure models, and the D first mapping sets are imported one by one into the D first mapping positions, so as to convert the pipeline structure model into an initial simulation model; All local temperatures and local flow rates of the D risk pipelines at the positions of the main pipe and the auxiliary pipe are determined one by one, respectively recorded as temperature points and flow rate points, and after the temperature points and the flow rate points of the same risk pipeline are summarized, D second mapping sets are generated; The second mapping positions and the third mapping positions consistent with the positions of the temperature points and the flow rate points in the D second mapping sets are marked one by one on the D initial simulation models, and the local temperatures and the local flow rates are imported one by one into the corresponding second mapping positions and the third mapping positions, so as to convert the initial simulation model into a pipeline simulation model.

[0011] Further, the flow monitoring criterion is that the length of the monitoring interval is less than or equal to the minimum value of the sub-filling time; The steps of planning the monitoring interval are: The local flow rates of all the D risk pipelines are added up and averaged to obtain D flow rate averages; Using the formula for the area of ​​a circle, the cross-sectional area of ​​the risk pipeline is calculated, and the unit volume flow rate is compared with the product of the cross-sectional area and the average flow velocity of the risk pipeline to calculate the filling time of D sub-fillings. Remove the part of the minimum sub-filling time except for the first decimal place, and split the remaining part of the minimum sub-filling time into an integer part and a decimal part; When there is no decimal part or the decimal part is less than 4, the integer part is used as the duration of the monitoring interval to plan the monitoring interval; When the decimal part is greater than or equal to 4, the remaining part of the minimum sub-filling time is used as the duration of the monitoring interval, and the monitoring interval is planned.

[0012] Furthermore, the steps for calculating the flow attenuation rate are as follows: Arrange the flow rates of the E intervals of the D pipeline simulation models in chronological order to generate D flow queues. Following the order from front to back, the difference between the traffic in the previous interval and the traffic in the next interval in the traffic queue is calculated, and the difference is compared with the traffic in the previous interval to calculate the traffic attenuation rate.

[0013] Furthermore, the steps for classifying high-risk and low-risk pipelines are as follows: Arrange all the flow decay rates in the D pipeline simulation models in chronological order to generate D decay queues. In the attenuation queue, when the next flow attenuation rate is greater than or equal to the previous flow attenuation rate in two adjacent flow attenuation rates, the next flow attenuation rate is recorded as the target attenuation rate. The number of target attenuation rates in each of the D attenuation queues is counted one by one. When the number of target attenuation rates is greater than or equal to the number of one-third flow attenuation rates, the risk pipeline corresponding to the pipeline simulation model is classified as a high-risk pipeline. When the number of target attenuation rates is less than one-third of the number of flow attenuation rates, the risk pipelines corresponding to the pipeline simulation model are classified as low-risk pipelines.

[0014] Furthermore, the flow warning information includes information to stop paste filling and information to increase filling pressure; When a pipeline is classified as a high-risk pipeline, a stoppage notice for paste filling is issued. When the risk pipeline is a low-risk pipeline, information is provided to increase the filling pressure.

[0015] The technical effects and advantages of the internal flow monitoring system for mine paste filling anti-clogging pipe of the present invention are as follows: (1) By comparing the theoretical flow rate and the actual flow rate of the filling pipeline, this invention can analyze whether there is a risk of blockage in the filling pipeline from both theoretical and practical dimensions. This allows for the rapid and accurate identification of risky pipelines with blockage risk and provides a direct object for further analysis of the probability of blockage in the subsequent paste flow. This avoids the high burden of analyzing the entire filling pipeline network and improves the convenience of flow blockage analysis.

[0016] (2) By collecting structural and flow characteristics and combining them with digital twin technology to construct a pipeline simulation model that dynamically matches the risk pipeline, this invention can simulate the real-time dynamic changes of paste flow in the risk pipeline in a real-time, dynamic and accurate manner. This avoids the random errors that exist when manually measuring flow data. At the same time, by simulating and analyzing the flow attenuation rate of the pipeline simulation model in the monitoring interval, it can continuously monitor the flow changes of the risk pipeline at different time lines, improve the dynamic continuity of paste flow monitoring, and provide an analytical basis for the probability and severity of paste blockage in the subsequent filling pipeline network. This allows for accurate and flexible monitoring of the dynamic change trend of paste flow in the filling pipeline network from both the physical structure level and the virtual digital level, thereby effectively avoiding the phenomenon of paste blockage in the filling pipeline network. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of a module for monitoring the internal flow of a mine paste filling anti-clogging pipe according to Embodiment 1 of the present invention; Figure 2 This is a flowchart illustrating a method for monitoring the internal flow of a mine paste filling anti-clogging pipe, as provided in Embodiment 2 of the present invention. Detailed Implementation

[0018] 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, and 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.

[0019] Example 1: Please refer to Figure 1 As shown in this embodiment, an internal flow monitoring system for mine paste filling anti-clogging pipes is applied to a flow monitoring platform and includes: The filling pipeline identification module marks the pipeline nodes in the filling pipeline network, determines the pipeline type of the filling pipe where the pipeline node is located, and identifies the filling pipeline in the filling pipeline network based on the paste filling rules. The filling pipeline network is a network of pipelines used to transport mine filling paste to various mine goaf areas, enabling the filling pipeline network to stably deliver mine filling paste from pump stations to various mine goaf areas.

[0020] Pipeline nodes are the locations in the filling pipeline network used to transport and receive mine filling paste, and serve as the starting and ending points for the filling and transport of mine filling paste within the filling pipeline network. Specifically, pipeline nodes include pumping nodes and filling nodes; among them, pumping nodes are the locations of paste pumping stations in the filling pipeline network, and filling nodes are the locations of goaf areas in the filling pipeline network.

[0021] After marking the network nodes, it is necessary to identify and determine the pipeline type of the filling pipe where the network nodes are located, so as to represent the role and function of the filling pipes where different network nodes are located in the filling network, and to identify and distinguish the specific role and function of the filling pipes by the pipeline type. Specifically, pipeline types include main pipes and secondary pipes; main pipes refer to filling pipes that are directly connected to the pumping station, while secondary pipes refer to filling pipes that are directly connected to the goaf.

[0022] The steps to determine the type of piping are as follows: Find the design drawings of the filling pipeline network, mark the pump station, goaf A and filling pipe B one by one in the design drawings, mark the location of the pump station as the pumping node, and mark the location of goaf A as the filling node; When the pipeline node directly connected to the filling pipe in the filling pipeline network is a pumping node, the filling pipe is the main pipeline for pumping the mine filling paste from the pumping station to the outside. In this case, the filling pipe where the pumping node is located is called the main pipe. When a pipeline node directly connected to a filling pipe in a filling pipeline network is a filling node, the filling pipe is a secondary pipeline that transports mine filling paste to the goaf. In this case, the filling pipe where the filling node is located is recorded as a secondary pipe.

[0023] It should be noted that there is usually only one pumping station in a filling pipeline network to transport mine filling paste. Therefore, there is only one main pipe in a filling pipeline network. However, there are usually more than one goaf in a mine. Each goaf corresponds to an independent secondary pipe, and each secondary pipe is independently connected to the main pipe. Therefore, there is more than one secondary pipe in a filling pipeline network.

[0024] After determining the type of filling pipe, it is necessary to identify the filling pipes that can transport the mine filling paste from the pump station to each goaf based on the specific type of filling pipe. Then, the filling pipes corresponding to each goaf are combined to form a filling pipeline. At this time, the filling pipeline serves as the route for transporting the mine filling paste from the pump station to the goaf. When identifying filling pipelines, it is necessary to do so within the constraints of the paste filling rules to ensure that each filling pipeline remains relatively independent and that each filling pipeline corresponds to only one goaf. Specifically, the paste filling rule is: one filling pipeline corresponds to one filling node; this ensures that each goaf has a unique filling pipeline, avoiding the occurrence of multiple mixed and intersecting pipelines in one goaf.

[0025] The steps for identifying filled pipelines are as follows: According to the order in which the mine filling paste passes through the A auxiliary pipes during pumping, the A auxiliary pipes are numbered in ascending order, with 1 as the first number. Following the ascending order of numbering, starting from the pumping node and ending at A filling nodes, the main and auxiliary pipes located between the starting point and A ending points are summarized to generate A filling pipelines.

[0026] It should be noted that each filling pipeline includes a main pipe and a secondary pipe. The main pipe is used to pump the mine filling paste from the pumping station to the secondary pipe, and the secondary pipe pumps the mine filling paste to the goaf, thus achieving a one-to-one correspondence between each filling pipeline and the goaf.

[0027] The risk pipeline analysis module collects the basic pipeline parameters of the filling pipeline, calculates the theoretical flow rate of the filling pipeline using fluid dynamics algorithms, performs anti-clogging analysis on the theoretical flow rate, determines whether there is a risk of clogging in the filling pipeline, and identifies risky pipelines with clogging risks. After identifying the filling pipelines, the filling role of each filling pipeline in the filling paste process of the mine can be theoretically analyzed, and the volumetric flow rate of the paste filling the goaf under ideal conditions can be expressed by the theoretical flow rate, thus providing a theoretical basis for the subsequent identification of the filling pipelines. Theoretical flow rate refers to the volumetric flow rate of mine filling paste that can be pumped into the goaf by the filling pipeline under ideal conditions. Theoretical flow rate only represents the numerical value of the volumetric flow rate of the filling paste under ideal conditions. When calculating the theoretical flow rate of the filling pipeline, it is necessary to collect the basic pipeline parameters of the filling pipeline and combine them with fluid dynamics algorithms for calculation.

[0028] Specifically, basic pipeline parameters include pipeline pressure differential, pipeline radius, paste viscosity, and pipeline length; Pipeline differential pressure refers to the pressure difference between the inlet and outlet of the filling pipeline, which reflects the pressure change of the filling paste between the beginning and end of the filling pipeline. When collecting pipeline differential pressure, the pressure at the inlet and outlet of the filling pipeline is detected by a pressure sensor, and the difference between the pressure at the inlet and outlet is obtained.

[0029] Pipeline radius refers to the inner radius of the filling pipe used to pump mine filling paste in the filling pipeline. In this embodiment, all filling pipes in the filling pipeline network are made of rigid metal pipes of equal diameter, so that the pipeline radii of the main pipe and the auxiliary pipes are the same. When collecting pipeline radius, it is obtained by consulting the design drawings of the filling pipeline network.

[0030] Paste viscosity refers to the flow viscosity of mine backfill paste in the backfill pipeline. It can affect the flow state of the mine backfill paste in the backfill pipeline and the theoretical flow rate of the mine backfill paste in the backfill pipeline. Paste viscosity is obtained by detecting viscosity values ​​at multiple locations in the backfill pipeline using a vibrating viscometer and averaging the multiple viscosity values.

[0031] Pipeline length refers to the total length of the main and auxiliary pipes in the filling pipeline; the pipeline length is obtained by consulting the design drawings of the filling pipeline network.

[0032] After obtaining the basic pipeline parameters of the filling pipeline, the theoretical flow rate of the filling pipeline under ideal conditions can be calculated based on the basic pipeline parameters using fluid dynamics algorithms. Specifically, the formula for calculating the theoretical flow rate is: ; In the formula, For theoretical flow rate, For pipeline pressure differential, For pipeline radius, The viscosity of the paste. For pipeline length, Pi is the mathematical constant of a circle.

[0033] Using the above formula for calculating theoretical flow rate, the theoretical flow rate of each of the A filling pipelines can be calculated one by one. Based on the calculated theoretical flow rate, the difference between the theoretical and actual conditions of the A filling pipelines can be analyzed to prevent blockage. This indirectly reflects the risk of blockage in the filling pipelines and helps to determine whether each filling pipeline has a risk of blockage. Specifically, the steps to determine whether there is a risk of congestion are as follows: The real-time flow rate at each of the A filling pipeline outlet locations is detected by a flow sensor and recorded as the actual flow rate. The theoretical flow rate is subtracted from the corresponding actual flow rate one by one, and the difference is compared with the theoretical flow rate to calculate the flow rate difference ratio. The formula for calculating the flow difference ratio is: ; In the formula, For flow difference ratio, This refers to the actual traffic volume. The flow difference ratios of each of the A filling pipelines are compared with the calibration difference ratio. When the flow difference ratio is greater than or equal to the calibration difference ratio, the amount of mine filling paste flowing out of the filling pipeline is much less than the amount flowing in. This indicates that there is a potential blockage in the filling pipeline, and the filling pipeline is deemed to have a blockage risk. The calibration difference ratio refers to the minimum flow difference ratio corresponding to the presence of a blockage risk in the filling pipeline, and is used as the data basis for judging whether there is a blockage risk in the filling pipeline. Specifically, the calibration difference ratio is obtained by collecting a large number of historical minimum flow difference ratios corresponding to a large number of blockage risks and then averaging them. When the flow difference ratio is less than the calibration difference ratio, the flow rate of the mine filling paste flowing out of the filling pipeline is close to that of the mine filling paste flowing in. Therefore, there is no potential for blockage in the filling pipeline, and it is determined that there is no risk of blockage in the filling pipeline.

[0034] Once it is determined whether there is a risk of blockage in the filling pipeline, each filling pipeline with a risk of blockage can be marked as a risk pipeline, so that the risk pipeline can be used as the direct target for subsequent monitoring of the internal flow of the mine filling paste. Specifically, risk pipelines are filling pipelines that have the risk of blockage, resulting in D risk pipelines; the number of risk pipelines is not unique, and is a positive integer greater than or equal to 0 and less than or equal to A.

[0035] The pipeline simulation module collects the structural characteristics of the risk pipeline, constructs the pipeline structure model, and collects the flow characteristics of the risk pipeline in real time. It then maps the flow characteristics onto the pipeline structure model to simulate the pipeline simulation model of the risk pipeline. Once the risk pipeline is identified, it can be used as the data collection and analysis object for subsequent monitoring of flow and blockage prevention inside the filling pipe. When monitoring the flow of paste inside the risk pipeline, a digital twin model matching the risk pipeline needs to be simulated based on the filling pipe corresponding to the risk pipeline. This allows the fixed and real-time parameters of the risk pipeline to be accurately and comprehensively mapped onto the digital twin model, thereby constructing a pipeline simulation model that meets the judgment requirements.

[0036] When simulating and building a pipeline simulation model, it is necessary to first build a pipeline structure model that matches the hardware structure characteristics of the risk pipeline, so that the pipeline structure model can comprehensively represent the structure of the risk pipeline itself. Before constructing a pipeline structure model, it is necessary to collect the structural features of the risk pipelines. The structural features can comprehensively represent the hardware structure characteristics and form of the risk pipelines. Specifically, the structural features include the main pipe length, the secondary pipe length, and the pipeline diameter; where the main pipe length refers to the length of the corresponding main pipe section in the risk pipeline, the secondary pipe length refers to the length of the corresponding secondary pipe in the risk pipeline, and the pipeline diameter refers to the inner diameter of the corresponding pipe cavity in the risk pipeline.

[0037] The steps for constructing a pipeline structure model are as follows: The location distribution of the main and auxiliary pipes in D risk pipelines is determined one by one by looking up the design drawings. Pipeline outlines that are consistent with the location distribution of the main and auxiliary pipes are constructed in three-dimensional space to obtain D pipeline outlines. The pipeline outlines are the basis for the pipeline structure model, so that the pipeline outlines are consistent with the actual risk pipelines only in the distribution of the main and auxiliary pipes. Mark the main pipe and secondary pipe profiles in the D pipeline profiles, and adjust the lengths of the main pipe and secondary pipe profiles to be consistent with the lengths of the main pipe and secondary pipe, respectively. The diameters of the adjusted main pipe and secondary pipe profiles are simultaneously adjusted to match the pipe diameter, thus constructing D pipe structure models.

[0038] After constructing the pipeline structure model, the current pipeline structure model can only represent the hardware structure characteristics and form of the risk pipeline, and cannot be associated with the real-time dynamic change data of the risk pipeline. Therefore, it is necessary to combine the technology of digital twin model to map and combine the real-time dynamic change data of the risk pipeline with the pipeline structure model in real time, so as to simulate a pipeline simulation model that can simulate the internal flow of the risk pipeline in real time. When simulating a pipeline structure model into a pipeline simulation model, it is necessary to collect flow characteristics from the risk pipeline that can reflect the real-time dynamic changes of the risk pipeline, and simulate the required pipeline simulation model by mapping and associating the flow characteristics with the pipeline structure model.

[0039] Specifically, flow characteristics include pumping pressure, filling pressure, unit flow rate, local temperature, and local velocity; Pumping pressure and filling pressure refer to the flow pressure of the paste at the inlet and outlet of the risk pipeline, respectively; both pumping pressure and filling pressure are obtained by detecting pressure sensors.

[0040] Unit flow rate refers to the volume and weight of mine backfill paste flowing out of the outlet of the risk pipeline per unit time; unit flow rate is obtained after detection by a flow sensor.

[0041] Local temperature refers to the temperature value at a local location caused by the friction of the mine backfill paste against the pipe wall at different locations during the flow of the backfill pipe in the risk pipeline; local temperature is obtained by temperature sensors installed at intervals on the risk pipeline.

[0042] Local velocity refers to the speed at which mine backfill paste flows through the backfill pipe in a risk pipeline; local velocity is obtained by detecting fiber optic velocity sensors installed at intervals.

[0043] After obtaining the flow characteristics, the real-time flow characteristics of the risk pipeline can be mapped and combined with the pipeline structure model. Digital twin technology can be used to simulate and construct a pipeline simulation model that can comprehensively and accurately represent the real-time dynamic situation of the risk pipeline, and provide a basis for subsequent filling pipe blockage analysis and precise location. The steps for simulating a pipeline simulation model are as follows: By summing the pumping pressure, filling pressure, and unit flow rate of D risk pipelines, D first mapping sets are generated. First mapping bits are established on D pipeline structure models respectively, and the D first mapping sets are imported one by one into the D first mapping bits to convert the pipeline structure models into the initial simulation models. The first mapping bits are used to map the data bits of pumping pressure, filling pressure and unit flow rate, and provide independent position constraints for the mapping of pumping pressure, filling pressure and unit flow rate. The locations of all local temperatures and local velocities on the main and secondary pipes of the D risk pipelines are determined one by one and recorded as temperature points and velocity points, respectively. The temperature points and velocity points of the same risk pipeline are then aggregated to generate D second mapping sets. On each of the D initial simulation models, second and third mapping bits are marked to correspond to the locations of temperature and flow velocity points in the D second mapping sets. Local temperature and flow velocity are then imported into the corresponding second and third mapping bits, transforming the initial simulation models into pipeline simulation models. The second and third mapping bits are used to map local temperature and flow velocity data, providing independent positional constraints for their mapping, ensuring comprehensive and accurate real-time dynamic mapping of risk pipelines.

[0044] It should be noted that the pipeline simulation model can correspond in real time with the dynamic changes of the risk pipeline, thereby simulating and constructing a pipeline simulation model of the risk pipeline using digital twin technology. This provides a model that is structurally matched with the risk pipeline, free and controllable, and flexibly simulated for subsequent paste flow monitoring, improving the convenience and accuracy of paste flow monitoring.

[0045] The attenuation rate calculation module, based on the flow monitoring criteria, plans the monitoring interval, simulates the flow rate of the pipeline simulation model in the monitoring interval, and calculates the flow attenuation rate of the risk pipeline. The monitoring interval is the time period between two adjacent internal flow monitoring analyses during the simulation of the pipeline model. This ensures that the flow data of the pipeline simulation model can change significantly within the monitoring interval, facilitating the collection and analysis of relevant data. When planning monitoring intervals, in order to ensure the accuracy of the planning results and the consistency of the duration of each monitoring interval, planning must be carried out under the constraints of traffic monitoring criteria. The flow monitoring criterion is: the duration of the monitoring interval is less than or equal to the minimum value of the sub-filling duration; this ensures that the monitoring interval can meet the simulation monitoring requirements of all pipeline simulation models.

[0046] The steps for planning the monitoring interval are as follows: The average of all local flow velocities in the D risk pipelines is obtained by summing up the D flow velocities. Using the formula for the area of ​​a circle, the cross-sectional area of ​​the risk pipeline is calculated, and the unit volume flow rate is compared with the product of the cross-sectional area and the average flow velocity of the risk pipeline to calculate the filling time of D sub-fillings. The formula for calculating the filling time is: ; In the formula, For the first Sub-filling time of each risk pipeline =1,2...D, Flow rate per unit volume For the first Average flow rate of each risk pipeline; Remove the part of the minimum sub-filling time except for the first decimal place, and split the remaining part of the minimum sub-filling time into an integer part and a decimal part; When there is no decimal part, the integer part is used as the duration of the monitoring interval, and the monitoring interval is planned. When the decimal part is less than 4, the integer part is used as the duration of the monitoring interval, and the monitoring interval is planned. When the decimal part is greater than or equal to 4, the remaining part of the minimum sub-filling time is used as the duration of the monitoring interval, and the monitoring interval is planned.

[0047] It should be noted that by analyzing the integer and fractional parts of the minimum filling time, we can ensure that the time corresponding to the monitoring interval can be used to perform frequent and regular flow monitoring operations on the pipeline simulation model, and also ensure that the pipeline simulation model can experience significant changes in flow within the monitoring interval.

[0048] After the monitoring interval is planned, the corresponding time of the monitoring interval can be used as the standard to monitor the flow change of the mine filling paste in each pipeline simulation model within the monitoring interval. The simulated flow of the pipeline simulation model within the monitoring interval is recorded as the interval flow, which also makes the interval flow a direct basis for judging the flow change of the pipeline simulation model within the monitoring interval. Specifically, when simulating the interval flow of the pipeline simulation model, the monitoring interval is taken as the time span for monitoring the flow of mine filling paste during the simulation of D pipeline simulation models. At the same time, the simulated filling of mine filling paste is performed by D pipeline simulation models. The flow of mine filling paste in E consecutive monitoring intervals of D pipeline simulation models is calculated respectively, and the flow of mine filling paste in each monitoring interval is recorded as the interval flow.

[0049] After simulating the flow rates of D pipeline simulation models within E monitoring intervals, it is necessary to analyze and calculate the changes and trends in the flow rates within the intervals in order to determine the changes in the actual flow rates in the risk pipelines corresponding to the D pipeline simulation models. At this time, the rate of decrease in the flow rate between two adjacent monitoring intervals is recorded as the flow rate decay rate. The steps for calculating the flow attenuation rate are as follows: Arrange the flow rates of the E intervals of the D pipeline simulation models in chronological order to generate D flow queues. In order from front to back, the flow rate is calculated by subtracting the flow rate of the previous interval from the flow rate of the next interval, and then comparing the difference with the flow rate of the previous interval. The formula for calculating the flow attenuation rate is: ; In the formula, For flow attenuation rate, For the flow rate of the previous interval, For the next interval flow.

[0050] It should be noted that the flow attenuation rate can be calculated one by one for the flow rates of all sections in the D pipeline simulation models, thereby obtaining all the flow attenuation rates and providing a basis for judging the severity of blockages in subsequent risk pipelines.

[0051] The pipeline flow warning module analyzes the flow decay rate to determine the decay trend, classifies risky pipelines into high-risk and low-risk pipelines, and generates corresponding flow warning information. After calculating the flow decay rate, the decay trend of the flow decay rate of the pipeline simulation model can be analyzed, and based on the analysis results, the risk pipelines corresponding to the pipeline simulation model can be divided into high-risk pipelines and low-risk pipelines. High-risk pipelines refer to pipelines where the flow rate decay rate has shown a significant and severe decay trend. In such high-risk pipelines, the probability of blockage by mine filling paste is extremely high. Low-risk pipelines are the opposite of high-risk pipelines.

[0052] The decay trend is used to represent the trend of the flow decay rate of the pipeline simulation model in multiple monitoring intervals, and serves as a direct basis for subsequent classification of high-risk and low-risk pipelines. Specifically, the decay trend includes continuous decay trend and intermittent decay trend. The steps for classifying high-risk and low-risk pipelines are as follows: Arrange all the flow decay rates in the D pipeline simulation models in chronological order to generate D decay queues. In the attenuation queue, when the next flow attenuation rate is greater than or equal to the previous flow attenuation rate in two adjacent flow attenuation rates, the next flow attenuation rate is recorded as the target attenuation rate. The number of target attenuation rates in each of the D attenuation queues is counted one by one. When the number of target attenuation rates is greater than or equal to one-third of the flow attenuation rate, a serious interval flow attenuation phenomenon occurs in the pipeline simulation model. Then, the risk pipeline corresponding to the pipeline simulation model is classified as a high-risk pipeline. When the number of target attenuation rates is less than one-third of the number of flow attenuation rates, there is no serious inter-regional flow attenuation phenomenon in the pipeline simulation model. In this case, the risk pipeline corresponding to the pipeline simulation model is classified as a low-risk pipeline.

[0053] After classifying risk pipelines into high-risk and low-risk pipelines, it is necessary to develop corresponding flow warning information for high-risk and low-risk pipelines, and provide on-site management personnel with targeted operation and maintenance tips for mine backfill paste based on the different flow warning information. Specifically, flow warning information includes information to stop paste filling and information to increase filling pressure; In this embodiment, when the risk pipeline is a high-risk pipeline, the probability of blockage in the risk pipeline is relatively high. It is necessary to immediately stop the pumping and filling operation of the mine filling paste in the risk pipeline and perform a backflushing and cleaning operation on the risk pipeline. Then, the information to stop filling the paste is formulated. When the risk pipeline is a low-risk pipeline, the probability of blockage in the risk pipeline is not high. It is necessary to increase the pumping pressure of the mine filling paste in the risk pipeline and to perform pressurization and impact treatment on the potential blockage location in the risk pipeline. Therefore, the information on increasing the filling pressure is formulated.

[0054] Example 2: Please refer to Figure 2 As shown, the parts not described in detail in this embodiment are described in Embodiment 1. A method for monitoring the internal flow of a mine paste filling anti-clogging pipe is provided, applied to a flow monitoring platform, and used in the implementation of a mine paste filling anti-clogging pipe internal flow monitoring system, including: S1: Mark the pumping nodes and filling nodes in the filling pipeline network, determine the pipeline type of the filling pipe where the pumping nodes and filling nodes are located, and identify the filling pipeline in the filling pipeline network based on the paste filling rules. S2: Collect the basic pipeline parameters of the filling pipeline, calculate the theoretical flow rate of the filling pipeline using fluid dynamics algorithms, perform anti-clogging analysis on the theoretical flow rate, determine whether there is a risk of clogging in the filling pipeline, and identify the risky pipelines with clogging risks; if there is a risk of clogging, execute S3; if there is no risk of clogging, repeat S2. S3: Collect the structural characteristics of the risk pipeline, construct the pipeline structure model, collect the flow characteristics of the risk pipeline in real time, map the flow characteristics onto the pipeline structure model, and simulate the pipeline simulation model. S4: Based on the flow monitoring criteria, the monitoring interval is planned, the flow rate of the pipeline simulation model in the monitoring interval is simulated, and the flow attenuation rate of the risk pipeline is calculated. S5: Analyze the attenuation trend of the flow rate, classify the risk pipelines into high-risk and low-risk pipelines, and formulate corresponding flow warning information.

[0055] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.

Claims

1. A flow monitoring system for an anti-clogging pipe in a mine paste filling system, applied to a flow monitoring platform, characterized in that, include: The filling pipeline identification module marks the pumping nodes and filling nodes in the filling pipeline network, determines the pipeline type of the filling pipe where the pumping nodes and filling nodes are located, and identifies the filling pipeline in the filling pipeline network based on the paste filling rules. The risk pipeline analysis module collects the basic pipeline parameters of the filling pipeline, calculates the theoretical flow rate of the filling pipeline using fluid dynamics algorithms, performs anti-clogging analysis on the theoretical flow rate, determines whether there is a risk of clogging in the filling pipeline, and identifies risky pipelines with clogging risks. The pipeline simulation module collects the structural characteristics of risky pipelines, constructs a pipeline structure model, collects the flow characteristics of risky pipelines in real time, maps the flow characteristics onto the pipeline structure model, and simulates the pipeline simulation model. The attenuation rate calculation module, based on the flow monitoring criteria, plans the monitoring interval, simulates the flow rate of the pipeline simulation model in the monitoring interval, and calculates the flow attenuation rate of the risk pipeline. The pipeline flow warning module analyzes the flow decay rate to determine the decay trend, classifies risky pipelines into high-risk and low-risk pipelines, and generates corresponding flow warning information.

2. The internal flow monitoring system for anti-clogging pipes used in mine paste filling according to claim 1, characterized in that, Pipe types include main pipes and secondary pipes; The steps to determine the type of piping are as follows: Find the design drawings of the filling pipeline network, mark the pump station, goaf A and filling pipe B one by one in the design drawings, mark the location of the pump station as the pumping node, and mark the location of goaf A as the filling node; When the pipeline node connected to the filling pipe is a pumping node, the filling pipe is recorded as the main pipe; When the pipeline node connected to the filling pipe is a filling node, the filling pipe is recorded as a secondary pipe.

3. The internal flow monitoring system for anti-clogging pipes used in mine paste filling according to claim 2, characterized in that, The paste filling rule is: one filling pipeline corresponds to one filling node; The steps for identifying filled pipelines are as follows: According to the order in which the mine filling paste passes through the A auxiliary pipes during pumping, the A auxiliary pipes are numbered in ascending order, with 1 as the first number. Following the ascending order of numbering, starting from the pumping node and ending at A filling nodes, the main and auxiliary pipes located between the starting point and A ending points are summarized to generate A filling pipelines.

4. The internal flow monitoring system for anti-clogging pipes used in mine paste filling according to claim 3, characterized in that, Basic pipeline parameters include pipeline pressure differential, pipeline radius, paste viscosity, and pipeline length; The steps to determine whether there is a risk of congestion are as follows: The real-time flow rate at each of the A filling pipeline outlet locations is detected by a flow sensor and recorded as the actual flow rate. The theoretical flow rate is subtracted from the corresponding actual flow rate one by one, and the difference is compared with the theoretical flow rate to calculate the flow rate difference ratio. When the flow difference ratio is greater than or equal to the calibration difference ratio, it is determined that there is a risk of blockage in the filling pipeline; When the flow difference ratio is less than the calibration difference ratio, it is determined that there is no risk of blockage in the filling pipeline.

5. The internal flow monitoring system for anti-clogging pipes used in mine paste filling according to claim 4, characterized in that, Structural features include main pipe length, secondary pipe length, and pipeline diameter; The steps for constructing a pipeline structure model are as follows: The location distribution of the main and secondary pipes in the D risk pipelines is determined by querying the design drawings one by one, and pipeline outlines consistent with the location distribution of the main and secondary pipes are constructed in three-dimensional space to obtain D pipeline outlines. Mark the main pipe and secondary pipe profiles in the D pipeline profiles, and adjust the lengths of the main pipe and secondary pipe profiles to be consistent with the lengths of the main pipe and secondary pipe, respectively. The diameters of the adjusted main pipe and secondary pipe profiles are simultaneously adjusted to match the pipe diameter, thus constructing D pipe structure models.

6. The internal flow monitoring system for anti-clogging pipes in mine paste filling according to claim 5, characterized in that, Flow characteristics include pumping pressure, filling pressure, unit flow rate, local temperature, and local velocity; The steps for simulating a pipeline simulation model are as follows: By summing the pumping pressure, filling pressure, and unit flow rate of D risk pipelines, D first mapping sets are generated. First mapping positions are established on D pipeline structure models respectively, and the D first mapping sets are imported one by one into the D first mapping positions to convert the pipeline structure models into initial simulation models. The locations of all local temperatures and local velocities on the main and secondary pipes of the D risk pipelines are determined one by one and recorded as temperature points and velocity points, respectively. The temperature points and velocity points of the same risk pipeline are then aggregated to generate D second mapping sets. On the D initial simulation models, mark the second and third mapping positions that correspond to the temperature and velocity points in the D second mapping sets, and import the local temperature and local velocity into the corresponding second and third mapping positions one by one, so as to convert the initial simulation model into a pipeline simulation model.

7. The internal flow monitoring system for anti-clogging pipes in mine paste filling according to claim 6, characterized in that, The flow monitoring criterion is: the duration of the monitoring interval is less than or equal to the minimum value of the sub-filling duration; The steps for planning the monitoring interval are as follows: The average of all local flow velocities in the D risk pipelines is obtained by summing up the D flow velocities. Using the formula for the area of ​​a circle, the cross-sectional area of ​​the risk pipeline is calculated, and the unit volume flow rate is compared with the product of the cross-sectional area and the average flow velocity of the risk pipeline to calculate the filling time of D sub-fillings. Remove the part of the minimum sub-filling time except for the first decimal place, and split the remaining part of the minimum sub-filling time into an integer part and a decimal part; When there is no decimal part or the decimal part is less than 4, the integer part is used as the duration of the monitoring interval to plan the monitoring interval; When the decimal part is greater than or equal to 4, the remaining part of the minimum sub-filling time is used as the duration of the monitoring interval, and the monitoring interval is planned.

8. The internal flow monitoring system for anti-clogging pipes used in mine paste filling according to claim 7, characterized in that, The steps for calculating the flow attenuation rate are as follows: Arrange the flow rates of the E intervals of the D pipeline simulation models in chronological order to generate D flow queues. Following the order from front to back, the difference between the traffic in the previous interval and the traffic in the next interval in the traffic queue is calculated, and the difference is compared with the traffic in the previous interval to calculate the traffic attenuation rate.

9. The internal flow monitoring system for anti-clogging pipes used in mine paste filling according to claim 8, characterized in that, The steps for classifying high-risk and low-risk pipelines are as follows: Arrange all the flow decay rates in the D pipeline simulation models in chronological order to generate D decay queues. In the attenuation queue, when the next flow attenuation rate is greater than or equal to the previous flow attenuation rate in two adjacent flow attenuation rates, the next flow attenuation rate is recorded as the target attenuation rate. The number of target attenuation rates in each of the D attenuation queues is counted one by one. When the number of target attenuation rates is greater than or equal to the number of one-third flow attenuation rates, the risk pipeline corresponding to the pipeline simulation model is classified as a high-risk pipeline. When the number of target attenuation rates is less than one-third of the number of flow attenuation rates, the risk pipelines corresponding to the pipeline simulation model are classified as low-risk pipelines.

10. The internal flow monitoring system for anti-clogging pipes in mine paste filling according to claim 9, characterized in that, Flow warning information includes information to stop paste filling and information to increase filling pressure; When a pipeline is classified as a high-risk pipeline, a stoppage notice for paste filling is issued. When the risk pipeline is a low-risk pipeline, information is provided to increase the filling pressure.

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