Pipeline material selection method for pipeline water conveying system

Abstract

The invention relates to the technical field of pipeline material selection, and particularly discloses a pipeline material selection method for a pipeline water delivery system, which is used for solving the problems that a proper water delivery pipeline cannot be selected and the timeliness and the safety of coal mine construction are influenced because the water delivery pipeline cannot be selected depending on the use condition of coal mine water delivery and the installation environment of the pipeline. Comprising a server, a data acquisition unit, a water delivery pressure qualitative unit, an installation environment analysis unit, a demand integration analysis unit, a pipeline performance evaluation unit, a material selection comprehensive analysis unit and a display terminal. According to the method, the requirement grade of coal mine water delivery is determined by combining the use conditions, the installation environment and the installation position of the pipelines, and the matched pipelines are selected from various types of pipeline sets according to the comprehensive requirements of water delivery by judging the water delivery performance of the pipelines and combining technical economic comparison; therefore, the water conveying safety and stability of the pipeline water conveying system are ensured while better selection of the underground coal mine water conveying pipeline is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline material selection, and in particular to a pipeline material selection method for a pipeline water delivery system. Background Art

[0002] As the main energy source in my country, coal plays a vital role in my country's energy security. As one of the five major associated disasters, coal mine water damage has become one of the reasons that seriously restrict the sustainable development of the coal industry and cause major economic losses and casualties. As an important part of coal mine water damage water delivery facilities, whether the selection of pipes is scientific and reasonable is of great importance to the development of the coal mining industry.

[0003] Since the selection of coal mine water pipelines involves many factors and is relatively complicated, the existing methods of selecting coal mine water pipelines are mostly determined and selected based on human experience, which is relatively inaccurate and easily leads to the occurrence of coal mine water disasters.

[0004] Failure to select water pipelines based on the use conditions of coal mine water supply and the installation environment of the pipelines will result in the inability to select suitable water pipes, affecting the timeliness and safety of coal mine construction and hindering the development of the coal mining industry.

[0005] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0006] The purpose of the present invention is to solve the problem that in the existing method of selecting water supply pipelines for coal mines, it is impossible to select water supply pipelines based on the use conditions of coal mine water supply and the installation environment of the pipelines, resulting in the inability to select suitable water supply pipes, affecting the timeliness and safety of coal mine construction, and hindering the development of the coal mining industry. By combining the use conditions, installation environment and installation location of the pipelines, the demand level of coal mine water supply is clarified, and through the judgment and analysis of the water supply performance of the pipelines and combined with technical and economic comparisons, suitable pipelines are selected from various types of pipeline sets according to the comprehensive water supply needs. While achieving the best selection of underground water supply pipelines in coal mines, it also ensures the safety and stability of water transportation in the pipeline water supply system, greatly reduces the occurrence of groundwater disasters in coal mines, and promotes the development of the coal mining industry. A pipeline material selection method for a pipeline water supply system is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A pipe material selection method for a pipeline water delivery system includes a server, wherein the server is communicatively connected to a data acquisition unit, a water delivery pressure qualitative unit, an installation environment analysis unit, a demand integration analysis unit, a pipe performance evaluation unit, a material selection comprehensive analysis unit, and a display terminal;

[0009] The data acquisition unit is used to collect the use condition information and installation parameter information and pipeline performance parameter information of the pipeline transportation, and send them to the water delivery pressure qualitative unit, the installation environment analysis unit, and the pipeline performance evaluation unit respectively;

[0010] The water delivery pressure qualitative unit is used to receive the use condition information of the pipeline in the pipeline water delivery system, and perform water delivery pressure prejudgment analysis and processing, thereby generating a water delivery pressure light feedback signal, a water delivery pressure medium feedback signal and a water delivery pressure heavy feedback signal, and sending them all to the demand integration analysis unit;

[0011] The installation environment analysis unit is used to receive installation parameter information of the pipeline in the pipeline water delivery system, and perform installation environment determination analysis processing, thereby generating a general installation difficulty feedback signal, a medium installation difficulty feedback signal and a severe installation difficulty feedback signal, and sending them all to the demand integration analysis unit;

[0012] The demand integration analysis unit is used to receive the water delivery pressure feedback type determination signal and the installation difficulty feedback type determination signal and perform data comprehensive analysis and processing, thereby generating a low-level comprehensive demand determination signal, a medium-level comprehensive demand determination signal and a high-level comprehensive demand determination signal, and sending them all to the material selection comprehensive analysis unit; wherein the water delivery pressure feedback type determination signal includes a light water delivery pressure feedback signal, a moderate water delivery pressure feedback signal and a heavy water delivery pressure feedback signal, and the installation difficulty feedback type determination signal includes a general installation difficulty feedback signal, a moderate installation difficulty feedback signal and a heavy installation difficulty feedback signal;

[0013] The pipeline performance evaluation unit is used to receive performance parameter information of pipelines in the pipeline water delivery system, and perform pipeline water delivery performance evaluation and analysis, thereby obtaining a first-class pipeline set and a second-class pipeline set, and sending them to the material selection comprehensive analysis unit;

[0014] The material selection comprehensive analysis unit is used to select suitable pipes from various types of pipe sets according to the comprehensive water delivery needs, perform pipe material selection matching analysis and processing, and send the matching results to the display terminal for display and explanation.

[0015] Furthermore, the specific operation steps of water delivery pressure prediction analysis and processing are as follows:

[0016] Real-time acquisition of water temperature fluctuation value, water pressure, water volume and water quality value in the use condition information to be borne by the water pipeline, and respectively setting the cross-line thresholds QT1, QT2, QT3 and QT4 of the use condition items, and comparing and analyzing the preset cross-line thresholds QT1, QT2, QT3 and QT4 corresponding to the water temperature fluctuation value, water pressure, water volume and water quality value;

[0017] When the water temperature floating value is less than or equal to the corresponding preset crossing threshold QT1, the water temperature floating value of the corresponding use condition item is assigned to s1; when the water temperature floating value is greater than the corresponding preset crossing threshold QT1, the water temperature floating value of the corresponding use condition item is assigned to s2, where s1<s2;

[0018] When the water pressure is less than or equal to the corresponding preset threshold value QT2, the water pressure of the corresponding use condition item is assigned to s1; when the water pressure is greater than the corresponding preset threshold value QT2, the water pressure of the corresponding use condition item is assigned to s2;

[0019] When the water volume is less than or equal to the corresponding preset threshold value QT3, the water volume of the corresponding use condition item is assigned to s1; when the water volume is greater than the corresponding preset threshold value QT3, the water volume of the corresponding use condition item is assigned to s2;

[0020] When the water quality value is less than or equal to the corresponding preset threshold value QT4, the water quality value of the corresponding use condition item is assigned to s1; when the water quality value is greater than the corresponding preset threshold value QT4, the water quality value of the corresponding use condition item is assigned to s2;

[0021] The score assignments of each use condition item are cumulatively analyzed to obtain the total use condition assignment;

[0022] When the total value of the usage conditions is 4s1 or 3s1+s2, a light feedback signal of the water delivery pressure is generated. When the total value of the usage conditions is 2s1+2s2, a moderate feedback signal of the water delivery pressure is generated. When the total value of the usage conditions is 3s2+s1 or 4s2, a heavy feedback signal of the water delivery pressure is generated.

[0023] Furthermore, the specific steps of the installation environment determination analysis process are as follows:

[0024] Obtain the embedded depth, embedded length, number of spans, number of embedded connection nodes and pressure value in the installation parameter information of the water supply pipeline in the pipeline water supply system, and calibrate them as sd, ld, kc, nd and sy respectively, and perform normalization analysis on them. According to the formula azx=e1*sd+e2*ld+e3*kc+e4*nd+e5*sy, obtain the installation coefficient, where e1, e2, e3, e4 and e5 are weight factor coefficients of embedded depth, embedded length, number of spans, number of embedded connection nodes and pressure value respectively, and e1, e2, e3, e4 and e5 are all natural numbers greater than 0;

[0025] Set the gradient comparison thresholds DT1 and DT2 of the installation coefficient, and compare and analyze the installation coefficient with the preset gradient comparison thresholds DT1 and DT2, wherein the gradient comparison thresholds DT1 and DT2 increase in a gradient, so DT1 < DT2, and DT2 = x*DT1, wherein x represents the gradient multiple;

[0026] When the installation coefficient is less than the preset gradient contrast threshold DT1, a general installation difficulty feedback signal is generated; when the installation coefficient is between the preset gradient contrast thresholds DT1 and DT2, a moderate installation difficulty feedback signal is generated; when the installation coefficient is greater than the preset gradient contrast threshold DT2, a severe installation difficulty feedback signal is generated.

[0027] Furthermore, the specific steps of comprehensive data analysis and processing are as follows:

[0028] According to the water delivery pressure feedback type judgment signal, a set W is established, the light feedback signal of the water delivery pressure is calibrated as element a1, the medium feedback signal of the water delivery pressure is calibrated as element a2, and the heavy feedback signal of the water delivery pressure is calibrated as element a3, and element a1∈set W, element a2∈set W, element a3∈set W;

[0029] According to the installation difficulty feedback type judgment signal, a set V is established, the general installation difficulty feedback signal is calibrated as element b1, the moderate installation difficulty feedback signal is calibrated as element b2, and the severe installation difficulty feedback signal is calibrated as element b3, and element b1∈set V, element b2∈set V, element b3∈set V;

[0030] The sets W and V are unioned. If W∪V={a1, b1}, a low-level comprehensive demand judgment signal is generated. If W∪V={a1, b2} or {a2, b2} or {a1, b3} or {a2, b1} or {a3, b1}, an intermediate-level comprehensive demand judgment signal is generated. If W∪V={a3, b3} or {a2, b3} or {a3, b2}, a high-level comprehensive demand judgment signal is generated.

[0031] Furthermore, the specific operation steps of the performance evaluation analysis process are as follows:

[0032] Obtain the adhesion capacity value, tensile strength value, bending performance value and service life of each type of pipeline performance parameter information, and calibrate them as att, ts, bf and yr respectively, and analyze them by formula. The performance coefficients of various types of pipelines are obtained, where g1, g2, g3 and g4 are correction factor coefficients for adhesion capacity value, tensile strength value, bending performance value and service life respectively;

[0033] Set the critical threshold CP of the performance coefficient of each type of pipelinei , and the performance coefficient of each type of pipeline is compared with the corresponding critical threshold CP i Conduct comparative analysis;

[0034] When the performance coefficient of the pipeline is less than or equal to the corresponding critical threshold CP i When the performance coefficient of the pipeline is greater than the corresponding critical threshold CP i When the corresponding type of pipeline is marked as a superior performance signal;

[0035] The pipelines judged as having excellent performance signals are classified into a first-class pipeline set, and the pipelines judged as having average performance signals are classified into a second-class pipeline set.

[0036] Furthermore, the specific operation steps of pipeline material selection matching analysis and processing are as follows:

[0037] When a low-level comprehensive demand determination signal is received, each pipe in the second-class pipe set is sorted in ascending order based on the performance coefficient, and a second-class pipe ascending set is obtained, and pipes that match the comprehensive water delivery demand are selected from the second-class pipe ascending set in turn, and recorded as low demand → second-class ascending pipes, and sent to the display terminal for display and explanation;

[0038] When the intermediate comprehensive demand determination signal is received, each pipe in the second-class pipe set is sorted in descending order based on the performance coefficient, and a second-class pipe descending set is obtained, and pipes that match the comprehensive water delivery demand are selected from the second-class pipe descending set in turn, and recorded as intermediate demand → second-class descending pipes, and sent to the display terminal for display and explanation;

[0039] When a high-level comprehensive demand determination signal is received, each pipe in a class of pipe sets is sorted in descending order based on the performance coefficient, and a class of pipe descending set is obtained. Pipes that match the comprehensive water transmission demand are selected from the class of pipe descending set in turn, and recorded as high demand → class of pipe descending, and sent to the display terminal for display.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The present invention performs comprehensive prejudgment analysis on the water delivery pressure of the pipeline from the perspective of water temperature floating value, water pressure, water volume and water quality status, and uses normalization analysis and gradient threshold setting comparison analysis to achieve clear judgment analysis on the installation environment of the pipeline. It also uses set calibration, union operation and data classification output to perform comprehensive analysis on the water delivery pressure and installation environment of the pipeline, thereby clarifying the demand level of water delivery in the coal mine and laying a foundation for realizing the reasonable selection of pipelines in the coal mine.

[0042] By adopting the methods of formula analysis, data comparison analysis and classification set division, we can realize the clear judgment analysis of pipeline water delivery performance and the division of water delivery performance levels, and select suitable pipelines from various types of pipeline sets based on the comprehensive water delivery needs. In this way, while realizing the better selection of underground water delivery pipelines in coal mines, it also ensures the safety and stability of water transportation in the pipeline water delivery system, greatly reduces the occurrence of groundwater disasters in coal mines, and promotes the development of the coal mining industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0044] Figure 1 It is the overall block diagram of the system of the present invention;

[0045] Figure 2 A block diagram of the method of the present invention. DETAILED DESCRIPTION

[0046] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] like Figure 1 and Figure 2 As shown, a pipe material selection method for a pipeline water delivery system includes a server, and the server is communicatively connected with a data acquisition unit, a water delivery pressure qualitative unit, an installation environment analysis unit, a demand integration analysis unit, a pipe performance evaluation unit, a material selection comprehensive analysis unit and a display terminal;

[0048] The data acquisition unit is used to collect the use condition information, installation parameter information and pipeline performance parameter information of the pipeline transportation, and send them to the water delivery pressure qualitative unit, the installation environment analysis unit and the pipeline performance evaluation unit respectively;

[0049] When the water delivery pressure qualitative unit receives the use condition information of the pipeline in the pipeline water delivery system, it performs water delivery pressure prediction analysis and processing based on the information. The specific operation process is as follows:

[0050] Real-time acquisition of water temperature fluctuation value, water pressure, water volume and water quality value in the use condition information to be borne by the water pipeline, and respectively setting the cross-line thresholds QT1, QT2, QT3 and QT4 of the use condition items, and comparing and analyzing the preset cross-line thresholds QT1, QT2, QT3 and QT4 corresponding to the water temperature fluctuation value, water pressure, water volume and water quality value;

[0051] It should be noted that the crossing threshold QT1 corresponds one-to-one to the water temperature floating value item in the use condition information, the crossing threshold QT2 corresponds one-to-one to the water pressure item in the use condition information, the crossing threshold QT3 corresponds one-to-one to the water volume item in the use condition information, and the crossing threshold QT4 corresponds one-to-one to the water quality value item in the use condition information;

[0052] It should also be noted that the water temperature fluctuation value refers to the temperature change difference of the coal mine groundwater, and the water quality value refers to the data value of the number of inorganic ions contained in the coal mine groundwater. Among them, inorganic ions include calcium ions, magnesium ions, potassium ions, sodium ions, bicarbonate ions, sulfate ions and chloride ions. When the coal mine groundwater contains calcium ions, magnesium ions and sulfate ions, the water quality value is 3, and so on;

[0053] When the water temperature floating value is less than or equal to the corresponding preset crossing threshold QT1, the water temperature floating value of the corresponding use condition item is assigned to s1; when the water temperature floating value is greater than the corresponding preset crossing threshold QT1, the water temperature floating value of the corresponding use condition item is assigned to s2, where s1<s2;

[0054] When the water pressure is less than or equal to the corresponding preset threshold value QT2, the water pressure of the corresponding use condition item is assigned to s1; when the water pressure is greater than the corresponding preset threshold value QT2, the water pressure of the corresponding use condition item is assigned to s2;

[0055] When the water volume is less than or equal to the corresponding preset threshold value QT3, the water volume of the corresponding use condition item is assigned to s1; when the water volume is greater than the corresponding preset threshold value QT3, the water volume of the corresponding use condition item is assigned to s2;

[0056] When the water quality value is less than or equal to the corresponding preset threshold value QT4, the water quality value of the corresponding use condition item is assigned to s1; when the water quality value is greater than the corresponding preset threshold value QT4, the water quality value of the corresponding use condition item is assigned to s2;

[0057] The score assignments of each use condition item are cumulatively analyzed to obtain the total use condition assignment;

[0058] When the total value of the use condition is 4s1 or 3s1+s2, a light feedback signal of the water delivery pressure is generated; when the total value of the use condition is 2s1+2s2, a moderate feedback signal of the water delivery pressure is generated; when the total value of the use condition is 3s2+s1 or 4s2, a heavy feedback signal of the water delivery pressure is generated;

[0059] It should be noted that when the coal mine groundwater has a large amount of water, contains many types of water quality, has high water pressure and large water temperature fluctuations, it will increase the burden of pipeline water transportation;

[0060] and sending the generated light water delivery pressure feedback signal, medium water delivery pressure feedback signal and heavy water delivery pressure feedback signal to the demand integration analysis unit;

[0061] When the installation environment analysis unit receives the installation parameter information of the pipeline in the pipeline water supply system, it performs installation environment determination analysis and processing accordingly. The specific operation process is as follows:

[0062] Obtain the embedded depth, embedded length, number of cross-layers, number of embedded connection nodes and pressure value in the installation parameter information of the water supply pipeline in the pipeline water supply system, and calibrate them as sd, ld, kc, nd and sy respectively, and perform normalization analysis on them. According to the formula azx=e1*sd+e2*ld+e3*kc+e4*nd+e5*sy, obtain the installation coefficient, wherein e1, e2, e3, e4 and e5 are weight factor coefficients of embedded depth, embedded length, number of cross-layers, number of embedded connection nodes and pressure value respectively, and e1, e2, e3, e4 and e5 are all natural numbers greater than 0, wherein the weight factor coefficient is used to balance the proportion of each data in the formula calculation, thereby promoting the accuracy of the calculation result, and the specific numerical settings of e1, e2, e3, e4 and e5 are specifically set by those skilled in the art in specific cases;

[0063] It should be noted that the cross-layer value refers to the number of coal mine aquifers that the pipeline passes through continuously. The coal mine aquifers include the four-water aquifer, the Ordovician grey water aquifer, the Taiyang grey water aquifer and the coal-bearing water aquifer. When the pipeline passes through the four-water aquifer and the Ordovician grey water aquifer continuously, the cross-layer value is 2. The larger the cross-layer value, the worse the installation environment of the pipeline is.

[0064] Setting the gradient comparison thresholds DT1 and DT2 of the installation coefficient, and comparing and analyzing the installation coefficient with the preset gradient comparison thresholds DT1 and DT2, wherein the gradient comparison thresholds DT1 and DT2 increase in a gradient, so DT1 < DT2, and DT2 = x*DT1, wherein x represents the gradient multiple, and the specific value setting of x is specifically set by those skilled in the art in a specific pipeline water delivery case;

[0065] When the installation coefficient is less than the preset gradient contrast threshold DT1, a general installation difficulty feedback signal is generated; when the installation coefficient is between the preset gradient contrast thresholds DT1 and DT2, a moderate installation difficulty feedback signal is generated; when the installation coefficient is greater than the preset gradient contrast threshold DT2, a severe installation difficulty feedback signal is generated;

[0066] and sending the generated general installation difficulty feedback signal, moderate installation difficulty feedback signal, and severe installation difficulty feedback signal to the demand integration and analysis unit;

[0067] When the demand integration analysis unit receives the water delivery pressure feedback type determination signal and the installation difficulty feedback type determination signal, it performs comprehensive data analysis and processing accordingly. The specific operation process is as follows:

[0068] According to the water delivery pressure feedback type judgment signal, a set W is established, the light feedback signal of the water delivery pressure is calibrated as element a1, the medium feedback signal of the water delivery pressure is calibrated as element a2, and the heavy feedback signal of the water delivery pressure is calibrated as element a3, and element a1∈set W, element a2∈set W, element a3∈set W;

[0069] According to the installation difficulty feedback type judgment signal, a set V is established, the general installation difficulty feedback signal is calibrated as element b1, the moderate installation difficulty feedback signal is calibrated as element b2, and the severe installation difficulty feedback signal is calibrated as element b3, and element b1∈set V, element b2∈set V, element b3∈set V;

[0070] The sets W and V are processed as a union. If W∪V={a1, b1}, a low-level comprehensive demand determination signal is generated. If W∪V={a1, b2} or {a2, b2} or {a1, b3} or {a2, b1} or {a3, b1}, an intermediate-level comprehensive demand determination signal is generated. If W∪V={a3, b3} or {a2, b3} or {a3, b2}, a high-level comprehensive demand determination signal is generated.

[0071] The generated low-level comprehensive demand determination signal, intermediate comprehensive demand determination signal and high-level comprehensive demand determination signal are all sent to the material selection comprehensive analysis unit, wherein the water delivery pressure feedback type determination signal includes a light water delivery pressure feedback signal, a moderate water delivery pressure feedback signal and a severe water delivery pressure feedback signal, and the installation difficulty feedback type determination signal includes a general installation difficulty feedback signal, a moderate installation difficulty feedback signal and a severe installation difficulty feedback signal;

[0072] When the pipeline performance evaluation unit receives the performance parameter information of the pipeline in the pipeline water delivery system, it performs pipeline water delivery performance evaluation and analysis based on the information. The specific operation process is as follows:

[0073] Obtain the adhesion capacity value, tensile strength value, bending performance value and service life of each type of pipeline performance parameter information, and calibrate them as att, ts, bf and yr respectively, and analyze them by formula. The performance coefficients of various types of pipelines are obtained, wherein g1, g2, g3 and g4 are correction factor coefficients of adhesion capacity value, tensile strength value, bending performance value and service life respectively, and the specific numerical settings of g1, g2, g3 and g4 are specifically set by those skilled in the art in specific cases, and the correction factor coefficients are used to correct the deviations of various parameters in the process of formula calculation, so as to calculate more accurate parameter data;

[0074] Set the critical threshold CP of the performance coefficient of each type of pipeline i , where i represents the pipeline type and is a positive integer, and the performance coefficient of each type of pipeline is compared with the corresponding critical threshold CP i Conduct comparative analysis;

[0075] When the performance coefficient of the pipeline is less than or equal to the corresponding critical threshold CP i When the performance coefficient of the pipeline is greater than the corresponding critical threshold CP i When the corresponding type of pipeline is marked as a superior performance signal;

[0076] and classifying each pipeline determined to have an excellent performance signal into a first-class pipeline set, and classifying each pipeline determined to have an average performance signal into a second-class pipeline set;

[0077] It should be noted that when the performance value of the adhesion amount is smaller, it means that the adhesion ability of the pipe wall is weaker, which can further explain the low pipeline blockage rate. When the performance coefficient is larger, it means that the performance level of the pipeline is higher. Conversely, when the performance coefficient of the pipeline is smaller, it means that the performance level of the pipeline is lower.

[0078] and sending the generated first-category pipeline set and second-category pipeline set to the material selection comprehensive analysis unit;

[0079] The material selection comprehensive analysis unit receives the water transmission comprehensive demand judgment signal and the various types of pipeline judgment sets, and performs pipeline material selection matching analysis and processing, and selects the appropriate pipeline from the various types of pipeline sets according to the comprehensive water transmission demand, specifically:

[0080] When a low-level comprehensive demand determination signal is received, each pipe in the second-class pipe set is sorted in ascending order based on the performance coefficient, and a second-class pipe ascending set is obtained, and pipes that are compatible with the comprehensive water delivery demand are selected from the second-class pipe ascending set in turn, and recorded as low demand → second-class ascending pipes;

[0081] When the intermediate comprehensive demand determination signal is received, each pipe in the second-class pipe set is sorted in descending order based on the performance coefficient, and a second-class pipe descending set is obtained, and pipes that match the comprehensive water delivery demand are selected from the second-class pipe descending set in turn, and recorded as intermediate demand → second-class descending pipes;

[0082] When a high-level comprehensive demand determination signal is received, each pipe in the first-class pipe set is sorted in descending order based on the performance coefficient, and a first-class pipe descending set is obtained, and pipes that are compatible with the comprehensive water delivery demand are selected from the first-class pipe descending set in turn, and recorded as high demand → first-class descending pipes;

[0083] The matching results are sent to the display terminal for display.

[0084] When the present invention is used, the water delivery pressure is pre-judged and analyzed by collecting the use condition information of the pipeline in the pipeline water delivery system, and the water delivery pressure of the pipeline is comprehensively pre-judged and analyzed from the aspects of water temperature fluctuation value, water pressure, water volume and water quality status, thereby laying a foundation for selecting the best pipeline material for coal mine operation;

[0085] By obtaining the installation parameter information of the pipeline in the water supply system, the installation environment is analyzed and processed, and the normalization analysis and gradient threshold setting comparison analysis are used to achieve a clear analysis of the installation environment of the pipeline;

[0086] The water supply pressure and installation environment of the pipeline are comprehensively analyzed by means of set calibration, union operation and data classification output, which not only clarifies the demand level of water supply in coal mines, but also lays the foundation for the reasonable selection of pipelines in coal mines.

[0087] By adopting the methods of formula analysis, data comparison analysis and classification set division, we can realize the clear judgment analysis of pipeline water delivery performance and the division of water delivery performance levels, and select suitable pipelines from various types of pipeline sets based on the comprehensive water delivery needs. In this way, while realizing the better selection of underground water delivery pipelines in coal mines, it also ensures the safety and stability of water transportation in the pipeline water delivery system, greatly reduces the occurrence of groundwater disasters in coal mines, and promotes the development of the coal mining industry.

[0088] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for selecting pipe materials for a pipeline water delivery system, characterized in that: The following steps are involved: Step 1: Collect the usage condition information, installation parameter information and pipeline performance parameter information of the pipeline transportation; Step 2: Predict and analyze the water delivery pressure of the received usage condition information of the pipeline in the pipeline water delivery system, and generate a light water delivery pressure feedback signal, a medium water delivery pressure feedback signal and a heavy water delivery pressure feedback signal accordingly; Step 3: Perform installation environment determination and analysis on the received installation parameter information of the pipeline in the pipeline water supply system, and generate a general installation difficulty feedback signal, a medium installation difficulty feedback signal, and a severe installation difficulty feedback signal accordingly; Step 4: Performing data comprehensive analysis and processing on the received water delivery pressure feedback type determination signal and the installation difficulty feedback type determination signal, thereby generating a low-level comprehensive demand determination signal, a medium-level comprehensive demand determination signal and a high-level comprehensive demand determination signal; Step 5: Perform pipeline water delivery performance determination and analysis on the received performance parameter information of the pipelines in the pipeline water delivery system, thereby obtaining a first-class pipeline set and a second-class pipeline set; Step 6: Select appropriate pipes from various types of pipe sets based on the comprehensive water delivery needs, perform pipe material matching analysis, and send the matching results to the display terminal for display.

2. The method for selecting pipe materials for a pipeline water delivery system according to claim 1, characterized in that: The specific operation steps for water delivery pressure prediction analysis and processing are as follows: Real-time acquisition of water temperature fluctuation value, water pressure, water volume and water quality value in the use condition information to be borne by the water pipeline, and respectively setting the cross-line thresholds QT1, QT2, QT3 and QT4 of the use condition items, and comparing and analyzing the preset cross-line thresholds QT1, QT2, QT3 and QT4 corresponding to the water temperature fluctuation value, water pressure, water volume and water quality value; When the water temperature floating value is less than or equal to the corresponding preset crossing threshold QT1, the water temperature floating value of the corresponding use condition item is assigned to s1; when the water temperature floating value is greater than the corresponding preset crossing threshold QT1, the water temperature floating value of the corresponding use condition item is assigned to s2, where s1<s2; When the water pressure is less than or equal to the corresponding preset threshold value QT2, the water pressure of the corresponding use condition item is assigned to s1; when the water pressure is greater than the corresponding preset threshold value QT2, the water pressure of the corresponding use condition item is assigned to s2; When the water volume is less than or equal to the corresponding preset threshold value QT3, the water volume of the corresponding use condition item is assigned to s1; when the water volume is greater than the corresponding preset threshold value QT3, the water volume of the corresponding use condition item is assigned to s2; When the water quality value is less than or equal to the corresponding preset threshold value QT4, the water quality value of the corresponding use condition item is assigned to s1; when the water quality value is greater than the corresponding preset threshold value QT4, the water quality value of the corresponding use condition item is assigned to s2; The score assignments of each use condition item are cumulatively analyzed to obtain the total use condition assignment; When the total value of the usage conditions is 4s1 or 3s1+s2, a light feedback signal of the water delivery pressure is generated. When the total value of the usage conditions is 2s1+2s2, a moderate feedback signal of the water delivery pressure is generated. When the total value of the usage conditions is 3s2+s1 or 4s2, a heavy feedback signal of the water delivery pressure is generated.

3. The method for selecting pipe materials for a pipeline water delivery system according to claim 1, characterized in that: The specific steps for determining and analyzing the installation environment are as follows: Obtain the pre-buried depth, pre-buried length, number of cross-layers, number of pre-buried connection nodes and pressure value from the installation parameter information of the water delivery pipeline in the pipeline water delivery system, and perform normalization analysis on them to obtain the installation coefficient; Set the gradient comparison thresholds DT1 and DT2 of the installation coefficient, and compare and analyze the installation coefficient with the preset gradient comparison thresholds DT1 and DT2, wherein the gradient comparison thresholds DT1 and DT2 increase in a gradient, so DT1 < DT2, and DT2 = x*DT1, wherein x represents the gradient multiple; When the installation coefficient is less than the preset gradient contrast threshold DT1, a general installation difficulty feedback signal is generated; when the installation coefficient is between the preset gradient contrast thresholds DT1 and DT2, a moderate installation difficulty feedback signal is generated; when the installation coefficient is greater than the preset gradient contrast threshold DT2, a severe installation difficulty feedback signal is generated.

4. The method for selecting pipe materials for a pipeline water delivery system according to claim 1, characterized in that: The specific steps for comprehensive data analysis and processing are as follows: According to the water delivery pressure feedback type judgment signal, a set W is established, the light feedback signal of the water delivery pressure is calibrated as element a1, the medium feedback signal of the water delivery pressure is calibrated as element a2, and the heavy feedback signal of the water delivery pressure is calibrated as element a3, and element a1∈set W, element a2∈set W, element a3∈set W; According to the installation difficulty feedback type judgment signal, a set V is established, the general installation difficulty feedback signal is calibrated as element b1, the moderate installation difficulty feedback signal is calibrated as element b2, and the severe installation difficulty feedback signal is calibrated as element b3, and element b1∈set V, element b2∈set V, element b3∈set V; The sets W and V are unioned. If W∪V={a1, b1}, a low-level comprehensive demand judgment signal is generated. If W∪V={a1, b2} or {a2, b2} or {a1, b3} or {a2, b1} or {a3, b1}, an intermediate-level comprehensive demand judgment signal is generated. If W∪V={a3, b3} or {a2, b3} or {a3, b2}, a high-level comprehensive demand judgment signal is generated.

5. The method for selecting pipe materials for a pipeline water delivery system according to claim 1, characterized in that: The specific steps of performance evaluation and analysis are as follows: Obtain the adhesion capacity value, tensile strength value, bending performance value and service life in the performance parameter information of each type of pipeline, and analyze them by formula to obtain the performance coefficient of each type of pipeline; Set the critical threshold CP of the performance coefficient of each type of pipeline i , and the performance coefficient of each type of pipeline is compared with the corresponding critical threshold CP i Conduct comparative analysis; When the performance coefficient of the pipeline is less than or equal to the corresponding critical threshold CP i When the performance coefficient of the pipeline is greater than the corresponding critical threshold CP i When the corresponding type of pipeline is marked as a superior performance signal; The pipelines judged as having excellent performance signals are classified into a first-class pipeline set, and the pipelines judged as having average performance signals are classified into a second-class pipeline set.

6. The method for selecting pipe materials for a pipeline water delivery system according to claim 1, characterized in that: The specific steps for pipeline material selection and matching analysis and processing are as follows: When a low-level comprehensive demand determination signal is received, each pipe in the second-class pipe set is sorted in ascending order based on the performance coefficient, and a second-class pipe ascending set is obtained, and pipes that match the comprehensive water delivery demand are selected from the second-class pipe ascending set in turn, and recorded as low demand → second-class ascending pipes, and sent to the display terminal for display and explanation; When the intermediate comprehensive demand determination signal is received, each pipe in the second-class pipe set is sorted in descending order based on the performance coefficient, and a second-class pipe descending set is obtained, and pipes that match the comprehensive water delivery demand are selected from the second-class pipe descending set in turn, and recorded as intermediate demand → second-class descending pipes, and sent to the display terminal for display and explanation; When a high-level comprehensive demand determination signal is received, each pipe in a class of pipe sets is sorted in descending order based on the performance coefficient, and a class of pipe descending set is obtained. Pipes that match the comprehensive water transmission demand are selected from the class of pipe descending set in turn, and recorded as high demand → class of pipe descending, and sent to the display terminal for display.

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