Mine paste filling anti-blocking pipe internal flow monitoring system

Abstract

The present application relates to the technical fields of flow monitoring, and discloses a mine paste filling anti-blocking pipe internal flow monitoring system; the system comprises a filling pipe line identification module, a risk pipe line analysis module, a pipe line simulation simulation module, a decay rate calculation module and a pipe line flow early warning module; the filling pipe line identification module identifies the filling pipe line in the filling pipe network; the risk pipe line analysis module identifies the risk pipe line with the risk of blocking; the pipe line simulation simulation module simulates the pipe line simulation model; the decay rate calculation module calculates the flow decay rate of the risk pipe line; and the pipe line flow early warning module formulates corresponding flow early warning information; the present application can continuously monitor the flow change of the risk pipe line at different time lines, and can also provide an analysis basis for the probability and severity of paste blocking in the subsequent filling pipe network; the present application can accurately and flexibly monitor the dynamic change trend of the paste flow in the filling pipe network from the physical structure level and the virtual digital level, and effectively avoids the phenomenon of paste blocking in the filling pipe network.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of flow monitoring, more specifically, 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 the server water cooling system has an abnormal phenomenon, and issuing a prompt information for reminding the user. The system determines whether the cooling liquid treatment device has a blockage phenomenon by determining whether the actual flow ratio is less than the standard flow ratio, without making special structural changes to monitor whether the server water cooling system has a blockage inside.

[0004] 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 cannot accurately determine the development trend of the paste blockage risk in the filling pipe network.

[0005] 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

[0006] In order to overcome the above-mentioned defects of the prior art, in order to achieve the above-mentioned purpose, 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:

[0007] 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;

[0008] 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;

[0009] 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;

[0010] 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;

[0011] The pipeline flow early warning module performs decay trend analysis on the flow decay rate, divides the risk pipeline into high-risk pipelines and low-risk pipelines, and formulates corresponding flow early warning information.

[0012] Further, the pipe type includes a main pipe and an auxiliary pipe;

[0013] The step of determining the pipe type is:

[0014] 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 a pumping node, and the positions of the A goafs are recorded as filling nodes;

[0015] When the pipe network node connected with the filling pipe is a pumping node, the filling pipe is recorded as a main pipe;

[0016] When the pipe network node connected with the filling pipe is a filling node, the filling pipe is recorded as an auxiliary pipe.

[0017] Further, the paste filling rule is that one filling pipeline corresponds to one filling node;

[0018] The step of identifying the filling pipeline is:

[0019] According to the order of passing through A auxiliary pipes when pumping the mine filling paste, the A auxiliary pipes are sequentially numbered in ascending order with 1 as the first number;

[0020] According to 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.

[0021] Further, the basic pipeline parameters include pipeline pressure difference, pipeline radius, paste viscosity and pipeline length;

[0022] The step of determining whether there is a risk of blockage is:

[0023] The real-time flow rate of each of the A filling pipeline outlet positions is detected by the flow sensor, and is recorded as the actual flow rate;

[0024] The theoretical flow rate is compared with the corresponding actual flow rate, and the difference is compared with the theoretical flow rate, and the flow difference ratio is calculated;

[0025] When the flow difference ratio is greater than or equal to the calibrated difference ratio, it is determined that the filling pipeline has a risk of blockage;

[0026] When the flow difference ratio is less than the calibrated difference ratio, it is determined that the filling pipeline does not have a risk of blockage.

[0027] Further, the structural features include the main pipe length, the auxiliary pipe length and the pipeline diameter;

[0028] The step of constructing the pipeline structure model is:

[0029] 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;

[0030] 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;

[0031] 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.

[0032] Further, the flow characteristics include pumping pressure, filling pressure, unit flow rate, local temperature and local flow rate;

[0033] The step of simulating the pipeline simulation model is:

[0034] The pumping pressure, the filling pressure and the unit flow rate of the D risk pipelines are summarized to generate D first mapping sets;

[0035] The first mapping positions are established on the D pipeline structure models, and the D first mapping sets are introduced one by one into the D first mapping positions, so as to convert the pipeline structure model into an initial simulation model;

[0036] D risk pipelines are determined one by one to have all local temperatures and local flow rates at the point of the main pipe and the auxiliary pipe, respectively recorded as temperature points and flow rate points, and after the temperature points and flow rate points of the same risk pipeline are collected, D second mapping sets are generated;

[0037] On the D initial simulation models, second mapping positions and third mapping positions consistent with the positions of the temperature points and flow rate points in the D second mapping sets are marked one by one, and the local temperatures and local flow rates are introduced one by one into the corresponding second mapping positions and third mapping positions, so as to convert the initial simulation models into pipeline simulation models.

[0038] Further, the flow monitoring criterion is that the time length of the monitoring interval is less than or equal to the minimum value of the sub-filling time length;

[0039] The step of planning the monitoring interval is:

[0040] The D local flow rates in the D risk pipelines are added and averaged to obtain D flow rate averages;

[0041] Combined with the area formula of a circle, the cross-sectional area of the risk pipeline is calculated, and the product of the unit volume flow rate and the cross-sectional area of the risk pipeline and the flow rate average is compared to calculate the D sub-filling time lengths;

[0042] The first digit after the decimal point in the minimum value of the sub-filling time length is removed, and the remaining part of the minimum value of the sub-filling time length is split into an integer part and a decimal part;

[0043] When there is no decimal part or the decimal part is less than 4, the integer part is taken as the time length of the monitoring interval, and the monitoring interval is planned;

[0044] When the decimal part is greater than or equal to 4, the remaining part of the minimum value of the sub-filling time length is taken as the time length of the monitoring interval, and the monitoring interval is planned.

[0045] Further, the step of calculating the flow decay rate is:

[0046] According to the chronological order, the E interval flows of the D pipeline simulation models are arranged in sequence to generate D flow queues;

[0047] According to the forward order, the difference between the previous interval flow and the next interval flow in the flow queue is calculated, and the difference is compared with the previous interval flow to calculate the flow decay rate.

[0048] Further, the step of dividing the high-risk pipeline and the low-risk pipeline is:

[0049] According to the chronological order, all the flow decay rates in the D pipeline simulation models are arranged in sequence to generate D decay queues;

[0050] In the attenuation queue, when the next traffic attenuation rate is greater than or equal to the previous traffic attenuation rate among two adjacent traffic attenuation rates, the next traffic attenuation rate is recorded as a target attenuation rate;

[0051] The number of target attenuation rates in the D attenuation queues is counted one by one, and when the number of target attenuation rates is greater than or equal to one-third of the number of traffic attenuation rates, the risk pipeline corresponding to the pipeline simulation model is divided into a high-risk pipeline;

[0052] When the number of target attenuation rates is less than one-third of the number of traffic attenuation rates, the risk pipeline corresponding to the pipeline simulation model is divided into a low-risk pipeline.

[0053] Further, the traffic warning information includes stop paste filling information and increase filling pressure information;

[0054] When the risk pipeline is a high-risk pipeline, stop paste filling information is formulated;

[0055] When the risk pipeline is a low-risk pipeline, increase filling pressure information is formulated.

[0056] The technical effects and advantages of the mine paste filling anti-blocking pipe internal flow monitoring system of the application are as follows:

[0057] (1) The application can analyze whether the filling pipeline is at risk of blockage from the theoretical and actual dimensions by comparing the theoretical flow and the actual flow of the filling pipeline, so that the risk pipeline at risk of blockage can be quickly and accurately identified, and a direct object for further analysis of the high or low probability of paste flow blockage is provided, avoiding the high burden of analyzing the entire filling pipe network, and improving the convenience of flow blockage analysis.

[0058] (2) The application can simulate and analyze the flow attenuation rate of the pipeline simulation model in the monitoring interval, so as to continuously monitor the flow change of the risk pipeline at different time lines, improve the dynamic continuity of paste flow monitoring, and provide an analysis basis for the probability and severity of paste blockage in the subsequent filling pipe network, so as to accurately and flexibly monitor the dynamic change trend of the paste flow in the filling pipe network from the physical structure level and the virtual digital level, and effectively avoid the phenomenon of paste blockage in the filling pipe network. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1A module schematic diagram of a mine paste filling anti-blocking pipe internal flow monitoring system provided for the embodiment one of the present application;

[0060] Figure 2 A flow schematic diagram of a mine paste filling anti-blocking pipe internal flow monitoring method provided for the embodiment two of the present application. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0062] Embodiment one: please refer to Figure 1 As shown in the figure, the mine paste filling anti-blocking pipe internal flow monitoring system described in the embodiment is applied to a flow monitoring platform, and comprises:

[0063] The filling pipe network identification module marks out pipe network nodes in the filling pipe network, determines the pipe type of the filling pipe where the pipe network nodes are located, and identifies the filling pipe line in the filling pipe network based on the paste filling rules.

[0064] The filling pipe network is a pipe network composed of filling pipes for delivering mine filling paste to each mine goaf, so that the filling pipe network can stably deliver the mine filling paste of the pump station to each mine goaf.

[0065] The pipe network node is a position point for delivering and receiving the mine filling paste in the filling pipe network, and serves as the starting point and the ending point of the filling and delivery of the mine filling paste in the filling pipe network.

[0066] Specifically, the pipe network node comprises a pumping node and a filling node; wherein the pumping node is the location of the paste pump station in the filling pipe network, and the filling node is the location of the goaf in the filling pipe network.

[0067] After marking out the pipe network nodes, the pipe type of the filling pipe where the pipe network nodes are located needs to be identified and determined, so as to represent the role played by the filling pipe where the different pipe network nodes are located in the filling pipe network and the effect played by the filling pipe, and to identify and distinguish the specific role and effect of the filling pipe through the pipe type.

[0068] Specifically, the pipe type comprises a main pipe and an auxiliary pipe; the main pipe refers to the filling pipe directly connected with the pump station, and the auxiliary pipe refers to the filling pipe directly connected with the goaf.

[0069] The steps for determining the pipe type are as follows:

[0070] query the design drawing of the filling pipe network, mark the pump station, A goaf and B filling pipes in the design drawing one by one, mark the position of the pump station as the pumping node, and mark the position of the A goafs as the filling node;

[0071] When the pipe network node directly connected with the filling pipe in the filling pipe network is the pumping node, at this time, the filling pipe is the main pipeline for pumping the mine filling paste out of the pump station, and the filling pipe at the pumping node is recorded as the main pipe;

[0072] When the pipe network node directly connected with the filling pipe in the filling pipe network is the filling node, at this time, the filling pipe is the secondary pipeline for transporting the mine filling paste to the goaf, and the filling pipe at the filling node is recorded as the auxiliary pipe.

[0073] It should be noted that there is usually only one pump station in a filling pipe network for transporting mine filling paste, therefore, there is only one main pipe in a filling pipe network, and there are usually more than one goaf in a mine, each goaf corresponds to an independent auxiliary pipe, and each auxiliary pipe is independently connected with the main pipe, therefore, the number of auxiliary pipes in a filling pipe network is more than one.

[0074] After determining the pipe type of the filling pipe, the filling pipes that can transport the mine filling paste from the pump station to each goaf are identified from the filling pipe network according to the specific pipe type of the filling pipe, and the filling pipes corresponding to each goaf are combined to form a filling pipe line, at this time, the filling pipe line serves as the route for transporting the mine filling paste from the pump station to the goaf;

[0075] When identifying the filling pipe line, it needs to be performed under the limitation of the paste filling rule to ensure that each filling pipe line is relatively independent, and one filling pipe line corresponds to one goaf;

[0076] Specifically, the paste filling rule is that one filling pipe line corresponds to one filling node; it can ensure that each goaf has a unique filling pipe line, avoiding the occurrence of one goaf having multiple mixed and crossed pipe lines.

[0077] The steps of identifying the filling pipe line are as follows:

[0078] According to the order of the mine filling paste pumping through the A auxiliary pipes, the A auxiliary pipes are sequentially numbered in ascending order, with 1 as the first number;

[0079] According to the order from small to large, taking the pumping node as the starting point and the A filling nodes as the ending points, the main pipes and auxiliary pipes located between the starting point and the A ending points are respectively summarized to generate A filling pipe lines.

[0080] 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 of the pump station to the secondary pipe, and the secondary pipe pumps the mine filling paste to the goaf, thereby realizing the one-to-one correspondence effect of each filling pipeline and the goaf.

[0081] The risk pipeline analysis module collects the basic pipeline parameters of the filling pipeline, calculates the theoretical flow of the filling pipeline combined with 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;

[0082] After identifying the filling pipeline, the theoretical analysis of the filling effect of each filling pipeline in the mine filling paste process can be performed, and the paste volume flow of the filling pipeline in the ideal state is represented by the theoretical flow, thereby providing a theoretical basis for the subsequent identification of the filling pipeline;

[0083] The theoretical flow refers to the volume flow of the mine filling paste that can be pumped to the goaf without blocking, so that the theoretical flow only represents the numerical value of the paste filling volume flow of the filling pipeline in the ideal state. When calculating the theoretical flow of the filling pipeline, the basic pipeline parameters of the filling pipeline need to be collected and calculated combined with the fluid mechanics algorithm.

[0084] Specifically, the basic pipeline parameters include pipeline pressure difference, pipeline radius, paste viscosity, and pipeline length.

[0085] The pipeline pressure difference refers to the paste pressure difference between the inlet position and the outlet position of the filling pipeline, which is used to reflect the change of the paste pressure between the starting end and the ending end of the filling pipeline. When collecting the pipeline pressure difference, the pressure of the inlet position and the outlet position of the filling pipeline is detected by the pressure sensor, and then the pressure difference between the inlet position and the outlet position is obtained.

[0086] The pipeline radius refers to the radius of the filling pipe lumen in the filling pipeline for pumping the mine filling paste. In this embodiment, all the filling pipes in the filling pipe network are hard and equal-diameter metal pipes, so that the pipe diameters of the main pipe and the secondary pipe are consistent. When collecting the pipeline radius, it is obtained by querying the design drawing of the filling pipe network.

[0087] The paste viscosity refers to the flow viscosity of the mine filling paste in the filling pipeline, which can affect the flow state of the mine filling paste in the filling pipeline and affect the size of the theoretical flow of the mine filling paste in the filling pipeline. The paste viscosity is obtained by averaging the viscosity values detected by the vibrating viscometer at multiple positions of the filling pipeline.

[0088] The pipeline length refers to the overall length of the main pipe and the auxiliary pipe in the filling pipeline; the pipeline length is obtained by inquiring the design drawing of the filling pipeline network.

[0089] After obtaining the basic pipeline parameters of the filling pipeline, the theoretical flow of the filling pipeline in the ideal state can be calculated based on the basic pipeline parameters through the fluid mechanics algorithm.

[0090] Specifically, the calculation formula of the theoretical flow is:

[0091] ;

[0092] In the formula, is the theoretical flow, is the pipeline pressure difference, is the pipeline radius, is the paste viscosity, is the pipeline length, is the circular constant.

[0093] Through the above calculation formula of the theoretical flow, the theoretical flow of the A filling pipelines can be calculated one by one, and based on the calculated theoretical flow, the difference between the theoretical situation and the actual situation of the A filling pipelines is analyzed to prevent blockage, and the risk hidden danger of the blockage in the filling pipeline is indirectly reflected to determine whether each filling pipeline exists the risk of blockage.

[0094] Specifically, the step of determining whether there is a risk of blockage is:

[0095] The real-time flow at the outlet position of the A filling pipelines is detected one by one by the flow sensor, which is recorded as the actual flow.

[0096] The theoretical flow and the corresponding actual flow are subtracted one by one, and the difference is compared with the theoretical flow to calculate the flow difference ratio.

[0097] The calculation formula of the flow difference ratio is:

[0098] ;

[0099] In the formula, is the flow difference ratio, is the actual flow.

[0100] The flow difference ratio of A filling pipelines is compared with the calibration difference ratio one by one. When the flow difference ratio is greater than or equal to the calibration difference ratio, at this time, the mine filling paste flowing out of the filling pipeline is much less than the mine filling paste flowing in, and then it is determined that the filling pipeline has a risk of blockage. The calibration difference ratio is the minimum value of the flow difference ratio corresponding to the risk of blockage, and thus serves as a data basis for determining whether the filling pipeline has a risk of blockage. Specifically, the calibration difference ratio is obtained by averaging a large number of minimum values of the flow difference ratio corresponding to the risk of blockage after collecting the minimum values.

[0101] When the flow difference ratio is less than the calibration difference ratio, at this time, the flow of the mine filling paste flowing out of the filling pipeline is close to the flow of the mine filling paste flowing in, and then it is determined that the filling pipeline does not have a risk of blockage.

[0102] After determining whether the filling pipeline has a risk of blockage, each filling pipeline with a risk of blockage can be marked as a risk pipeline, so that the risk pipeline can be used as a direct object for subsequent internal flow monitoring of the mine filling paste.

[0103] Specifically, the risk pipeline is a filling pipeline with a risk of blockage, and D risk pipelines are obtained. 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.

[0104] The pipeline simulation module collects the structural characteristics of the risk pipeline, constructs a pipeline structure model, and collects the flow characteristics of the risk pipeline in real time. The flow characteristics are mapped onto the pipeline structure model to simulate a pipeline simulation model of the risk pipeline.

[0105] After determining the risk pipeline, the risk pipeline can be used as a data collection and analysis object for subsequent internal flow anti-blocking monitoring of the filling pipeline. When monitoring the internal paste flow of the risk pipeline, a digital twin model matching the risk pipeline is simulated and constructed based on the filling pipe corresponding to the risk pipeline. The fixed parameters and real-time parameters of the risk pipeline can be truly and comprehensively mapped onto the digital twin model to construct a pipeline simulation model that meets the judgment requirements.

[0106] When simulating and constructing the pipeline simulation model, a pipeline structure model matching the hardware structure characteristics of the risk pipeline is first constructed, so that the pipeline structure model can comprehensively represent the structure of the risk pipeline.

[0107] Before constructing the pipeline structure model, the structural characteristics of the risk pipeline need to be collected. The structural characteristics can comprehensively represent the hardware structure characteristics and morphology of the risk pipeline.

[0108] Specifically, the structural features include a main pipe length, a sub-pipe length and a pipeline diameter; wherein the main pipe length refers to the length of the corresponding main pipe part in the risk pipeline, the sub-pipe length refers to the length of the corresponding sub-pipe in the risk pipeline, and the pipeline diameter refers to the inner cavity diameter of the corresponding pipeline in the risk pipeline.

[0109] The step of constructing the pipeline structure model is:

[0110] The position distribution of the main pipe and the sub-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 sub-pipe is constructed in the three-dimensional space respectively to obtain D pipeline contours; the pipeline contour is the basis for composing the pipeline structure model, so that the pipeline contour is consistent with the actual risk pipeline only in the distribution position of the main pipe and the sub-pipe;

[0111] The main pipe contour and the sub-pipe contour in the D pipeline contours are marked, and the lengths of the main pipe contour and the sub-pipe contour are adjusted to the same amplitude as the sizes of the main pipe length and the sub-pipe length respectively;

[0112] The diameters of the adjusted main pipe contour and the sub-pipe contour are synchronously adjusted to the same amplitude as the size of the pipeline diameter to construct D pipeline structure models.

[0113] After the pipeline structure model is constructed, the pipeline structure model at this time can only represent the hardware structural features and morphology 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, to simulate a pipeline simulation model that can simulate the internal paste flow of the risk pipeline in real time;

[0114] When the pipeline structure model is simulated into a pipeline simulation model, the flow characteristics reflecting the real-time dynamic change of the risk pipeline need to be collected from the risk pipeline, and the required pipeline simulation model is simulated through the mapping and association of the flow characteristics and the pipeline structure model.

[0115] Specifically, the flow characteristics include pumping pressure, filling pressure, unit flow, local temperature and local flow rate;

[0116] The pumping pressure and the filling pressure are the paste flow pressures at the inlet position and the outlet position of the risk pipeline respectively; the pumping pressure and the filling pressure are obtained after being detected by a pressure sensor.

[0117] The unit flow is the volume weight of the mine filling paste flowing out of the outlet position of the risk pipeline per unit time; the unit flow is obtained after being detected by a flow sensor.

[0118] The local temperature refers to the temperature value of a local position caused by the friction of the mine filling paste in the risk pipeline with the pipe wall at different positions of the filling pipe when flowing; the local temperature is obtained after being detected by the temperature sensor installed at intervals on the risk pipeline.

[0119] The local flow rate refers to the speed of the mine filling paste in the risk pipeline at different positions when flowing in the filling pipe; the local flow rate is obtained after being detected by the optical fiber flow rate sensor installed at intervals.

[0120] After obtaining the flow characteristics, the real-time flow characteristics of the risk pipeline can be combined with the pipeline structure model, and a pipeline simulation model that can comprehensively and accurately represent the real-time dynamic situation of the risk pipeline can be simulated and constructed by using digital twin technology, and a basis is provided for subsequent filling pipe blockage analysis and accurate positioning;

[0121] The steps of simulating the pipeline simulation model are:

[0122] The pumping pressure, filling pressure and unit flow of the D risk pipelines are summarized to generate D first mapping sets;

[0123] The first mapping positions are established on the D pipeline structure models, and the D first mapping sets are introduced one by one into the D first mapping positions, so as to convert the pipeline structure model into an initial simulation model; the first mapping position is a data position for mapping the pumping pressure, filling pressure and unit flow, and provides an independent position limit for the mapping of the pumping pressure, filling pressure and unit flow;

[0124] The points of all local temperatures and local flow rates on the main pipe and the auxiliary pipe of the D risk pipelines are determined one by one, respectively recorded as temperature points and flow rate points, and after the temperature points and flow rate points of the same risk pipeline are summarized, D second mapping sets are generated;

[0125] The second mapping positions and third mapping positions consistent with the points of the temperature points and 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 local flow rates are introduced one by one into the corresponding second mapping positions and third mapping positions, so as to convert the initial simulation model into a pipeline simulation model. The second mapping position and the third mapping position are data positions for mapping the local temperature and the local flow rate, and provide an independent position limit for the mapping of the local temperature and the local flow rate, to ensure the comprehensiveness and accuracy of the real-time dynamic mapping of the risk pipeline.

[0126] It should be noted that the pipeline simulation model can correspond to the real-time dynamic changes of the risk pipeline in real time, so that a pipeline simulation model of the digital twin technology of the risk pipeline can be simulated and constructed, and a model that is real-time matched with the structure of the risk pipeline, freely controllable and flexible simulation is provided for subsequent paste flow monitoring, improving the convenience and accuracy of paste flow monitoring.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] The steps for planning the monitoring interval are as follows:

[0132] The average of all local flow velocities in the D risk pipelines is obtained by summing up the D flow velocities.

[0133] 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.

[0134] The formula for calculating the filling time is:

[0135] ;

[0136] 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;

[0137] 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;

[0138] When there is no decimal part, the integer part is used as the duration of the monitoring interval, and the monitoring interval is planned.

[0139] 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.

[0140] When the decimal part is greater than or equal to 4, the remaining part of the minimum value of the sub-filling duration is taken as the duration of the monitoring interval, and the monitoring interval is planned.

[0141] It should be noted that by analyzing and processing the integer part and the decimal part of the minimum value of the sub-filling duration, it can not only ensure that the duration corresponding to the monitoring interval can frequently and periodically monitor the flow of the pipeline simulation model, but also ensure that the pipeline simulation model can have a significant change in flow within the monitoring interval.

[0142] After the monitoring interval is planned, the duration corresponding to the monitoring interval is used as the standard to monitor the flow change of the mine filling paste in the monitoring interval in each pipeline simulation model, and the simulated flow of the pipeline simulation model in the monitoring interval is recorded as the interval flow, which also makes the interval flow can be used as a direct basis for judging the flow change of the pipeline simulation model in the monitoring interval.

[0143] Specifically, when simulating the interval flow of the pipeline simulation model, the monitoring interval is taken as the time span of monitoring the flow of the mine filling paste when the D pipeline simulation models are simulated to run, and the D pipeline simulation models are simulated to fill the mine filling paste. The flow of the mine filling paste in the D pipeline simulation models in the continuous E monitoring intervals is respectively counted, and the flow of the mine filling paste in each monitoring interval is recorded as the interval flow.

[0144] After simulating the interval flow of the D pipeline simulation models in the E monitoring intervals, the size change and development trend of the interval flow need to be analyzed and calculated to judge the change of the actual flow in the risk pipeline corresponding to the D pipeline simulation models. At this time, the decline rate of the interval flow of the adjacent two monitoring intervals is recorded as the flow decay rate.

[0145] The steps of calculating the flow decay rate are:

[0146] According to the chronological order, the E interval flows of the D pipeline simulation models are arranged in turn to generate D flow queues.

[0147] According to the order from front to back, the difference between the previous interval flow and the next interval flow in the flow queue is calculated, and the difference is compared with the previous interval flow to calculate the flow decay rate.

[0148] The calculation formula of the flow decay rate is:

[0149] ;

[0150] In the formula, is the flow decay rate, is the previous interval flow, For the next interval flow.

[0151] It should be noted that all the interval flows in the D pipeline simulation models can be calculated one by one through the calculation formula of the flow decay rate, so as to obtain all the flow decay rates and provide a basis for judging the severity of the blockage in the subsequent risk pipeline.

[0152] The pipeline flow warning module analyzes the decay trend of the flow decay rate, divides the risk pipeline into a high-risk pipeline and a low-risk pipeline, and formulates corresponding flow warning information;

[0153] After calculating the flow decay rate, the decay trend of the flow decay rate of the pipeline simulation model can be analyzed, and according to the analysis result, the risk pipeline corresponding to the pipeline simulation model is divided into a high-risk pipeline and a low-risk pipeline;

[0154] The high-risk pipeline refers to the risk pipeline in which the decay trend of the flow decay rate has obviously and severely decayed, and the probability of mine filling paste blockage in the risk pipeline is extremely high, and the low-risk pipeline is opposite to the high-risk pipeline.

[0155] The decay trend is used to represent the trend of the decay change of the flow decay rate of the pipeline simulation model in multiple monitoring intervals, and serves as a direct basis for subsequent division of high-risk pipelines and low-risk pipelines. Specifically, the decay trend includes a continuous decay trend and an intermittent decay trend.

[0156] The steps of dividing the high-risk pipeline and the low-risk pipeline are:

[0157] According to the chronological order, all the flow decay rates in the D pipeline simulation models are arranged in sequence to generate D decay queues;

[0158] In the decay queue, when the next flow decay rate is greater than or equal to the previous flow decay rate, the next flow decay rate is recorded as the target decay rate;

[0159] The number of target decay rates in the D decay queues is counted one by one, and when the number of target decay rates is greater than or equal to one-third of the number of flow decay rates, a serious interval flow decay phenomenon occurs in the pipeline simulation model, and the risk pipeline corresponding to the pipeline simulation model is divided into a high-risk pipeline;

[0160] When the number of target decay rates is less than one-third of the number of flow decay rates, no serious interval flow decay phenomenon occurs in the pipeline simulation model, and the risk pipeline corresponding to the pipeline simulation model is divided into a low-risk pipeline.

[0161] After the risk pipeline is divided into a high-risk pipeline and a low-risk pipeline, corresponding flow early warning information is needed for the high-risk pipeline and the low-risk pipeline, and different flow early warning information is used to provide targeted operation and maintenance prompts for the on-site management personnel of the mine filling paste;

[0162] Specifically, the flow early warning information includes stop paste filling information and increase filling pressure information.

[0163] In this embodiment, when the risk pipeline is a high-risk pipeline, the probability of blockage in the risk pipeline is relatively high, the pumping and filling operation of the mine filling paste in the risk pipeline needs to be stopped immediately, and a backflushing operation is performed on the risk pipeline, and then the stop paste filling information is developed.

[0164] When the risk pipeline is a low-risk pipeline, the probability of blockage in the risk pipeline is not high, the pumping pressure of the mine filling paste in the risk pipeline needs to be increased, and the potential blockage position in the risk pipeline is subjected to pressure boosting impact treatment, and then the increase filling pressure information is developed.

[0165] Embodiment two: please refer to Figure 2 The embodiment does not describe some parts in detail, and a mine paste filling anti-blocking pipe internal flow monitoring method is provided, which is applied to a flow monitoring platform and is used for realizing a mine paste filling anti-blocking pipe internal flow monitoring system, and includes:

[0166] S1: marking the pumping nodes and the filling nodes in the filling pipe network, determining the pipe type of the filling pipe in which the pumping nodes and the filling nodes are located, and identifying the filling pipeline in the filling pipe network based on the paste filling rules;

[0167] S2: collecting the basic pipeline parameters of the filling pipeline, calculating the theoretical flow of the filling pipeline by combining the fluid mechanics algorithm, performing anti-blocking analysis on the theoretical flow, determining whether there is a blockage risk in the filling pipeline, and identifying the risk pipeline with the blockage risk; if there is a blockage risk, execute S3; if there is no blockage risk, repeat S2;

[0168] S3: collecting the structural characteristics of the risk pipeline, constructing a pipeline structure model, collecting the flow characteristics of the risk pipeline in real time, mapping the flow characteristics to the pipeline structure model, and simulating a pipeline simulation model;

[0169] S4: based on the flow monitoring criteria, planning a monitoring interval, simulating the interval flow of the pipeline simulation model in the monitoring interval, and calculating the flow decay rate of the risk pipeline;

[0170] S5: performing decay trend analysis on the flow decay rate, dividing the risk pipeline into a high-risk pipeline and a low-risk pipeline, and developing corresponding flow early warning information.

[0171] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A mine paste filling anti-blocking pipe internal flow monitoring system applied to a flow monitoring platform, characterized in that, The method comprises the following steps: a filling pipeline identification module, which marks the pumping nodes and filling nodes in the filling pipe network, determines the pipe type of the filling pipe where the pumping nodes and filling nodes are located, and identifies the filling pipeline in the filling pipe network based on the paste filling rules; a risk pipeline analysis module, which collects the basic pipeline parameters of the filling pipeline, calculates the theoretical flow of the filling pipeline by combining fluid mechanics algorithms, performs anti-blocking analysis on the theoretical flow, determines whether there is a risk of blockage in the filling pipeline, and identifies the risk pipeline that exists the risk of blockage; a pipeline simulation simulation module, which 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; a decay rate calculation module, which plans a monitoring interval based on the flow monitoring criteria, simulates the interval flow of the pipeline simulation model in the monitoring interval, and calculates the flow decay rate of the risk pipeline; a pipeline flow early warning module, which 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.

2. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 1, characterized in that, The pipe type includes a main pipe and a secondary pipe. The steps for determining the pipe type are as follows: query the design drawing of the filling pipe network, mark the pumping station, A goaf and B filling pipes in the design drawing one by one, mark the position of the pumping station as the pumping node, and mark the position of the A goaf 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 secondary pipe.

3. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 2, characterized in that, The paste filling rule is that one filling pipeline corresponds to one filling node. The steps for identifying the filling pipeline are as follows: according to the order of the A secondary pipes passed through by the mine filling paste pump, number the A secondary pipes in ascending order, with 1 as the first number; according to the order from small to large, take the pumping node as the starting point and the A filling nodes as the end points, and collect the main pipes and secondary pipes between the starting point and the A end points respectively to generate A filling pipelines.

4. The internal flow monitoring system of the mine paste filling anti-blocking pipe according to claim 3, characterized in that, The basic pipeline parameters include pipeline pressure difference, pipeline radius, paste viscosity and pipeline length. The steps for determining whether there is a risk of blockage are as follows: detect the real-time flow at the outlet position of the A filling pipelines one by one through the flow sensor, and record it as the actual flow; differ the theoretical flow from the corresponding actual flow one by one, compare the difference with the theoretical flow, and calculate the flow difference ratio; when the flow difference ratio is greater than or equal to the calibrated difference ratio, it is determined that the filling pipeline exists the risk of blockage; when the flow difference ratio is less than the calibrated difference ratio, it is determined that the filling pipeline does not exist the risk of blockage.

5. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 4, characterized in that, The structural characteristics include the main pipe length, the secondary pipe length and the pipeline diameter. The steps for constructing the pipeline structure model are as follows: query the position distribution of the main pipe and the secondary pipe in the D risk pipelines one by one through the design drawing, and construct the pipeline contour consistent with the position distribution of the main pipe and the secondary pipe in the three-dimensional space respectively to obtain D pipeline contours; mark the main pipe contour and the secondary pipe contour in the D pipeline contours, and adjust the length of the main pipe contour and the secondary pipe contour to the amplitude consistent with the length of the main pipe and the length of the secondary pipe respectively. The diameters of the adjusted main pipe profile and the auxiliary pipe profile are synchronously adjusted to a range consistent with the pipeline diameter, and D pipeline structure models are constructed.

6. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 5, characterized in that, The flow characteristics include pumping pressure, filling pressure, unit flow, local temperature, and local flow rate; The step of simulating the pipeline simulation model is: D first mapping sets are generated by summarizing the pumping pressure, filling pressure, and unit flow of the D risk pipelines; First mapping positions are respectively established on the D pipeline structure models, and the D first mapping sets are respectively introduced into the first mapping positions, so as to convert the pipeline structure models into initial simulation models; 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, and are respectively recorded as temperature positions and flow rate positions, and D second mapping sets are generated by summarizing the temperature positions and the flow rate positions of the same risk pipeline; Second mapping positions and third mapping positions consistent with the positions of the temperature positions and the flow rate positions in the D second mapping sets are respectively marked on the D initial simulation models, and the local temperatures and the local flow rates are respectively introduced into the corresponding second mapping positions and third mapping positions, so as to convert the initial simulation models into pipeline simulation models.

7. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 6, characterized in that, The flow monitoring criterion is that the time length of the monitoring interval is less than or equal to the minimum value of the sub-filling time length; The step of planning the monitoring interval is: D flow rate averages are obtained by accumulating and averaging all local flow rates of the D risk pipelines; The cross-sectional area of the risk pipeline is calculated by combining the circular area formula, and the D sub-filling time lengths are calculated by comparing the unit volume flow with the product of the cross-sectional area of the risk pipeline and the flow rate average; The first digit after the decimal point in the minimum value of the sub-filling time length is removed, and the remaining part of the minimum value of the sub-filling time length is split 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 taken as the time length 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 value of the sub-filling time length is taken as the time length of the monitoring interval, and the monitoring interval is planned.

8. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 7, characterized in that, The step of calculating the flow decay rate is: D flow queues are generated by arranging the E interval flows of the D pipeline simulation models in the order of time; The flow decay rate is calculated by comparing the difference between the previous interval flow and the next interval flow in the flow queue with the previous interval flow.

9. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 8, characterized in that, The step of dividing the high-risk pipeline and the low-risk pipeline is: D decay queues are generated by arranging all flow decay rates in the D pipeline simulation models in the order of time; In the decay queue, when the next flow decay rate is greater than or equal to the previous flow decay rate, the next flow decay rate is recorded as the target decay rate; The number of target decay rates in the D decay queues is counted one by one, and when the number of target decay rates is greater than or equal to one-third of the number of flow decay rates, the risk pipeline corresponding to the pipeline simulation model is divided into a high-risk pipeline; When the number of target decay rates is less than one-third of the number of flow decay rates, the risk pipeline corresponding to the pipeline simulation model is divided into a low-risk pipeline.

10. The internal flow monitoring system for preventing pipe blockage of mine paste filling according to claim 9, characterized in that, The flow pre-warning information includes stop paste filling information and increase filling pressure information; When the risk pipeline is a high-risk pipeline, the stop paste filling information is formulated; When the risk pipeline is a low-risk pipeline, the increase filling pressure information is formulated.

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