Mechanical and electrical pipeline installation quality management system and method based on data analysis

Abstract

The present invention discloses a management system and method for the quality of electromechanical pipeline installation based on data analysis, and relates to the technical field of electromechanical electrical and conduit installation management, including an electromechanical pipeline installation monitoring module, an abnormal monitoring data acquisition module, a quality abnormality tracing module and a construction quality management module. The electromechanical electrical and conduit installation quality monitoring is performed through the electromechanical pipeline installation monitoring module, and an installation quality abnormality warning is performed when the electromechanical electrical and conduit installation deviation is detected. The historical installation data of the electromechanical electrical and conduit and the electromechanical electrical and conduit installation deviation data caused by different reasons are collected through the abnormal monitoring data acquisition module. When the electromechanical electrical and conduit currently installed is detected to be offset, the cause of the installation quality abnormality is traced through the quality abnormality tracing module; the current line pipe installation quality inspection work is planned through the construction quality management module, which helps to quickly find the cause of the decline in pipeline installation quality and take measures to ensure the installation quality in time, thereby improving the efficiency of electromechanical pipeline installation.

Description

Technical Field

[0001] The present invention relates to the technical field of electromechanical electrical pipeline installation management, and in particular to an electromechanical pipeline installation quality management system and method based on data analysis. Background Art

[0002] Electromechanical and electrical conduits refer to conduit systems used to protect and fix motor wires or cables, usually made of metal or plastic, and are widely used in construction, electrical engineering, machinery and other fields. During the installation of electromechanical and electrical conduits, when multiple pipes are concealed and laid in parallel, pipe deviation may occur, resulting in a decrease in the installation quality of the electromechanical and electrical conduits. Improper pipe welding and improper pipe fixing are the main factors that cause pipe installation deviation. Therefore, real-time monitoring of the installation quality during the installation of electromechanical and electrical conduits can help to promptly discover pipeline installation quality problems in order to find the causes of reduced installation quality and take measures to improve the installation quality of electromechanical and electrical conduits to ensure the installation quality of electromechanical and electrical conduits. Although the existing technology monitors pipeline deviation, after detecting abnormal deviation, the cause of the deviation is generally found by the subjective judgment of the technicians. It is impossible to quickly find the cause of the pipeline deviation and implement a solution to the deviation problem, which interferes with the efficiency of the electromechanical pipeline installation project and cannot quickly solve the pipeline installation accuracy problem to ensure the installation quality of the electromechanical pipeline. Summary of the invention

[0003] The purpose of the present invention is to provide a mechanical and electrical pipeline installation quality management system and method based on data analysis to solve the problems raised in the prior art.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a mechanical and electrical pipeline installation quality management system based on data analysis, the system includes a mechanical and electrical pipeline installation monitoring module, an abnormal monitoring data acquisition module, a quality abnormality tracing module and a construction quality management module;

[0005] The electromechanical pipeline installation monitoring module is used to monitor the installation quality of electromechanical and electrical conduits, and an abnormal installation quality warning is issued when the electromechanical and electrical conduit installation deviation is detected;

[0006] Collecting historical monitoring data through the abnormal monitoring data collection module, including historical installation data of electromechanical and electrical conduits and installation deviation data of electromechanical and electrical conduits caused by different reasons;

[0007] When the quality abnormality tracing module detects that the electromechanical wire and conduit currently installed is offset, a first risk estimation model and a second risk estimation model are established to trace and estimate the cause of the current wire conduit installation quality abnormality;

[0008] The construction quality management module selects priority inspection targets based on the retrospective estimation results, and performs the current wire pipe installation quality inspection work based on the selection results.

[0009] Preferably, the electromechanical pipeline installation monitoring module includes a measuring point setting unit, a measuring point distance measuring unit and a line pipe deviation alarm unit;

[0010] A plurality of measuring points are randomly set on the electromechanical and electrical pipeline by the measuring point setting unit, that is, a plurality of measuring points are set on the pipeline;

[0011] The measuring point distance measuring unit is used to periodically measure the interval distances between a number of randomly set measuring points using a laser rangefinder;

[0012] The wire pipe deviation alarm unit determines that the installed wire pipe is deviated when the interval distance between any two measuring points is measured to be changed, and sends a motor wire pipe deviation alarm signal to the monitoring terminal.

[0013] Preferably, the abnormal monitoring data acquisition module includes a historical abnormal data acquisition unit, a support frame image acquisition unit and a wire tube welding data acquisition unit;

[0014] The historical abnormal data collection unit collects historical data of past electromechanical wire and conduit deviations, wherein the historical data includes data on the number of times the electromechanical wire and conduit deviates due to improper fixation of a support frame used to fix the electromechanical wire and conduit, data on the number of times the electromechanical wire and conduit deviates due to improper welding of the electromechanical wire and conduit, and data on the time of installing the support frame when different types of support frames are used to fix the electromechanical wire and conduit in the past, and the structures of different types of support frames are different;

[0015] The support frame image acquisition unit is used to collect image data of the support frame previously used in the electromechanical and electrical conduit installation process;

[0016] The wire pipe welding data collection unit collects information on the number of welding points on the electromechanical wire pipes installed in the past;

[0017] The historical installation data of the electromechanical electrical conduit includes image data of the support frame used in the previous installation process of the electromechanical electrical conduit and information on the number of welding points on the electromechanical electrical conduit installed in the past.

[0018] Preferably, the quality anomaly tracing module includes a risk analysis and comparison unit and an offset anomaly cause prediction unit;

[0019] The risk analysis and comparison unit retrieves historical abnormal data, analyzes the installation difficulty of the support frame used in the previous installation of electromechanical wire and conduits, analyzes the first risk coefficient of the electromechanical wire and conduit deviation caused by improper fixation of the support frame with different installation difficulties when the electromechanical wire and conduit was installed in the past, and generates a first risk prediction model after training the installation difficulty data and the first risk coefficient; the risk analysis and comparison unit is also used to analyze the second risk coefficient of the electromechanical wire and conduit deviation caused by improper welding when the electromechanical wire and conduit was installed in the past, and generates a second risk prediction model after training the number of welding points and the second risk coefficient; when the electromechanical wire and conduit currently installed is monitored to be deviated, obtain image data of the support frame used to fix the electromechanical wire and conduit currently installed, predict the installation difficulty of the current support frame after image comparison, input the predicted installation difficulty into the first risk prediction model, and output the first predicted risk coefficient of the current wire conduit deviation caused by improper fixation of the support frame; obtain the number of welding points on the currently installed electromechanical wire and conduit, input the number of welding points into the second risk prediction model, output the second predicted risk coefficient of the current wire conduit deviation caused by improper welding of the electromechanical wire and conduit, and compare the first predicted risk coefficient and the second predicted risk coefficient;

[0020] The deviation abnormality cause prediction unit predicts the cause of the deviation of the current electromechanical electrical and wire pipe based on the predicted risk coefficient comparison result: if the first predicted risk coefficient is greater than the second predicted risk coefficient, it is predicted that the cause of the deviation of the current electromechanical electrical and wire pipe is improper fixation of the support frame used to fix the current electromechanical electrical and wire pipe; if the first predicted risk coefficient is less than the second predicted risk coefficient, it is predicted that the cause of the deviation of the current electromechanical electrical and wire pipe is improper welding of the current electromechanical electrical and wire pipe; if the first predicted risk coefficient is equal to the second predicted risk coefficient, it is predicted that the cause of the deviation of the current electromechanical electrical and wire pipe is improper welding of the current electromechanical electrical and wire pipe or improper fixation of the support frame used to fix the current electromechanical electrical and wire pipe.

[0021] Preferably, the construction quality management module includes a priority inspection target selection unit and an offset abnormality cause inspection unit;

[0022] The priority inspection target selection unit selects a priority inspection target according to the prediction result of the offset cause: if it is predicted that the offset of the current electromechanical wire and conduit is caused by improper fixation of the support frame used to fix the current electromechanical wire and conduit, the priority inspection target is selected as the support frame used to fix the current electromechanical wire and conduit; if it is predicted that the offset of the current electromechanical wire and conduit is caused by improper welding of the current electromechanical wire and conduit, the priority inspection target is selected as the welding point of the current electromechanical wire and conduit; if it is predicted that the offset of the current electromechanical wire and conduit is caused by improper welding of the current electromechanical wire and conduit or improper fixation of the support frame used to fix the current electromechanical wire and conduit, it indicates that no priority inspection target is selected;

[0023] Through the abnormal deviation inspection unit, personnel are arranged to conduct abnormal cause investigation of the current electromechanical electrical and wire pipe deviation according to the priority inspection target selection results: if the selected priority inspection target is the support frame used to fix the current electromechanical electrical and wire pipe, personnel are arranged to give priority to checking whether the support frame used to fix the electromechanical and wire pipe that is currently deviated is fixed; if the selected priority inspection target is the welding point of the current electromechanical and wire pipe, personnel are arranged to give priority to checking whether all welding points of the electromechanical and wire pipe that is currently deviated have welding defects; if no priority inspection target is selected, personnel are arranged to perform support frame fixation inspection and welding defect inspection at the same time.

[0024] The electromechanical pipeline installation quality management method based on data analysis includes the following steps:

[0025] S101: Monitor the installation quality of electromechanical and electrical conduits, and issue an abnormal warning of installation quality when deviation of the electromechanical and electrical conduits is detected;

[0026] S102: Collecting historical monitoring data, including historical installation data of electromechanical and electrical conduits and installation deviation data of electromechanical and electrical conduits caused by different reasons;

[0027] S103: when it is detected that the electromechanical wire and conduit currently installed is offset, a first risk prediction model and a second risk prediction model are established to retroactively predict the cause of the abnormal quality of the current wire and conduit installation;

[0028] S104: Select a priority inspection target based on the traceability estimation result, and perform the current wire tube installation quality inspection work based on the selection result.

[0029] Preferably, S101 includes: randomly setting k measuring points on the electromechanical wire pipe, regularly measuring the interval distance between the k measuring points using a laser rangefinder, determining that the installed wire pipe is offset when a change in the interval distance between any two measuring points is measured, and sending an electromechanical wire pipe offset alarm signal to the monitoring terminal.

[0030] Preferably, S102 includes: collecting m different support frames used in the past for fixing the electromechanical wire and conduit during the installation process, and calculating the average time required for each installation of the m different support frames as t={t1, t2, ...t m}, the average time is obtained by averaging the time required for each support frame to be installed in the past, collecting image data of m kinds of support frames, and collecting the number of times the electromechanical wire and conduit were offset due to improper fixation of m kinds of support frames when installing electromechanical wire and conduit in the past and using corresponding m kinds of different support frames to fix the electromechanical wire and conduit. The data set is H={H1, H2, ...H m}, the number of welding points on the electromechanical wire pipes installed in the past is collected as M={M1, M2, ...M n}, n represents the number of items in the set M. The number of welding points in the set M is different. When the electromechanical wire and conduit with the corresponding number of welding points is installed in the past, the number of times the electromechanical wire and conduit is offset due to improper welding of the electromechanical wire and conduit is counted as L={L1, L2, ...L n}, L n Indicates that there is M n The number of times the welding points are offset due to improper welding during installation in the electromechanical wire conduit.

[0031] Preferably, the S103 includes: according to the formula Calculate the installation difficulty G of a random support frame i , i represents the i-th support frame, and the installation difficulty data set of m types of support frames is G={G1, G2, ...G i , ... G m},according to Analysis of the installation difficulty of the previous installation of mechanical and electrical conduits i The first risk factor R of the electromechanical wire pipe deviation caused by improper fixing of the support frame i , H i represents the number of times the electromechanical wire and conduit was deviated due to improper fixation of the i-th support frame when the electromechanical wire and conduit was installed and fixed with the i-th support frame in the past. The first risk coefficient data set is {R1, R2, ...R i , ... R m}, forming the first training data {(G1, R1), (G2, R2), ... (G i , R i ),...(G m , R m )}, and establish the first risk estimation model after performing a straight line fitting on the first training data: , and represents the fitting coefficient of the first risk estimation model, x represents the variable representing the installation difficulty in the first risk estimation model, and y represents the variable representing the first risk coefficient in the first risk estimation model;

[0032] according to Analysis of M j The second risk factor r of the electromechanical conduit with 1 welding point being deviated due to improper welding during installation j , the second risk coefficient data set is obtained as {r1, r2, ...r j ,...r n}, forming the second training data {(M1, r1), (M2, r2), ... (M j , r j ),... (M n , r n)}, a second risk prediction model is established after a straight line fitting is performed on the second training data: , and represents the fitting coefficient of the second risk prediction model, X represents the variable referring to the number of welding points in the second risk prediction model, and Y represents the variable referring to the second risk coefficient in the second risk prediction model;

[0033] When the currently installed electromechanical wire and conduit is detected to be offset, the image data of the support frame used to fix the currently installed electromechanical wire and conduit is obtained, and the image A of the support frame used to fix the currently installed electromechanical wire and conduit is compared one by one with the m types of support frame images. The support structure similarity SSIM (A, B) of image A and image B is obtained. Image B is an image of a random support among m types of supports. C1 and C2 are constants. and Represent the mean of images A and B respectively, and Represent the standard deviation of images A and B respectively, represents the covariance of images A and B, and obtains the similarity of the support frame structure between image A and each support frame image. The installation difficulty of the support frame with the highest similarity to the support frame structure of image A is obtained as F. , the highest similarity is S max , the current installation difficulty of the support frame is predicted to be F*S max , F*S max Input into the first risk estimation model: Let x=F*S max , the first predicted risk coefficient of the current line tube deviation caused by improper support frame fixation is output as , the number of welding points on the electromechanical wire pipe that is currently offset is obtained as k, let X = k, and the second predicted risk coefficient of the current wire pipe offset caused by improper welding of the electromechanical wire pipe is output as ,Compare and :like , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is that the support frame used to fix the current electromechanical and electrical conduit is improperly fixed; if , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is improper welding of the current electromechanical and electrical conduit; if , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is improper welding of the current electromechanical and electrical conduit or improper fixation of the support frame used to fix the current electromechanical and electrical conduit;

[0034] By collecting historical abnormal data on the installation of electromechanical wire and conduit, we analyze the data information on the deviation of the installation of electromechanical wire and conduit due to different reasons in the past, that is, the abnormal installation position accuracy. Considering that improper fixing measures when the support frame fixes the electromechanical wire and conduit, such as looseness during fixing, will cause the conduit installation to deviate, and the higher the difficulty of supporting frame installation, the higher the probability of improper fixing. We analyze the first risk coefficient of deviation caused by improper fixing of the support frame, and establish the first risk prediction model. In addition, considering that there may be multiple welding points on the pipeline of the electromechanical wire and conduit, welding defects may cause the pipeline to loosen and deviate. The more welding points there are, the more likely it is that welding defects will occur. The higher the probability of defects, the second risk coefficient of wire pipe deviation caused by improper welding is analyzed in combination with historical data, and a second risk prediction model is established. When the current electromechanical wire and pipe deviation is monitored, the current wire pipe data is input into the two models, and the focus of the cause of the current electromechanical wire and pipe deviation is predicted based on the output result comparison. Taking into account the large amount of electromechanical wire and pipe installation projects, it is time-consuming and labor-intensive to check the causes of abnormal installation quality one by one without a target. Arranging personnel to prioritize the cause investigation is conducive to helping speed up the speed of finding the causes of abnormal installation quality of electromechanical wire and pipe, and taking timely measures to ensure installation quality, thereby improving the efficiency of electromechanical pipeline installation.

[0035] Preferably, the S104 includes: if it is predicted that the reason for the deviation of the current electromechanical wire and conduit is that the support frame used to fix the current electromechanical wire and conduit is improperly fixed, selecting the priority inspection target as the support frame used to fix the current electromechanical wire and conduit; if it is predicted that the reason for the deviation of the current electromechanical wire and conduit is that the current electromechanical wire and conduit is improperly welded, selecting the priority inspection target as the welding point of the current electromechanical wire and conduit; if it is predicted that the reason for the deviation of the current electromechanical wire and conduit is that the current electromechanical wire and conduit is improperly welded or the support frame used to fix the current electromechanical wire and conduit is improperly fixed, indicating that the priority inspection target is not selected;

[0036] If the priority inspection target selected is the support frame used to fix the current electromechanical and electrical conduits, arrange personnel to prioritize checking whether the support frame used to fix the currently offset electromechanical and electrical conduits is fixed; if the priority inspection target selected is the welding point of the current electromechanical and electrical conduits, arrange personnel to prioritize checking whether all welding points of the currently offset electromechanical and electrical conduits have welding defects; if no priority inspection target is selected, arrange personnel to perform support frame fixation inspection and welding defect inspection at the same time.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention collects historical abnormal data on the installation of electromechanical wire and conduit, analyzes data information on the deviation of the installation of electromechanical wire and conduit due to different reasons in the past, that is, the abnormal installation position accuracy, and takes into account that improper fixing measures when the support frame fixes the electromechanical wire and conduit, such as looseness during fixing, will cause the conduit installation to deviate, and the higher the difficulty of supporting frame installation, the higher the probability of improper fixing, the first risk coefficient of deviation caused by improper fixing of the support frame is analyzed, and a first risk prediction model is established. In addition, considering that there may be multiple welding points on the pipeline of the electromechanical wire and conduit, welding defects may occur, causing the pipeline to loosen and thus deviate, and the more welding points there are, the more likely it is that the deviation will occur. The higher the probability of welding defects, the second risk coefficient of wire pipe deviation caused by improper welding is analyzed in combination with historical data, and a second risk prediction model is established. When the current electromechanical wire and pipe deviation is monitored, the current wire pipe data is input into the two models, and the focus of the cause of the current electromechanical wire and pipe deviation is predicted based on the output result comparison. Taking into account the large amount of electromechanical wire and pipe installation projects, it is time-consuming and labor-intensive to check the causes of abnormal installation quality one by one without a target. Arranging personnel to prioritize the cause investigation is conducive to helping speed up the speed of finding the causes of abnormal installation quality of electromechanical wire and pipe, and taking timely measures to ensure installation quality, thereby improving the efficiency of electromechanical pipeline installation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a structural schematic diagram of the electromechanical pipeline installation quality management system based on data analysis of the present invention;

[0040] Figure 2 It is a flow chart of the electromechanical pipeline installation quality management method based on data analysis of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0042] Example 1: Figure 1As shown, this embodiment provides an electromechanical pipeline installation quality management system based on data analysis, and the system includes: an electromechanical pipeline installation monitoring module, an abnormal monitoring data acquisition module, a quality abnormality tracing module and a construction quality management module; the electromechanical and electrical pipeline installation quality monitoring is performed through the electromechanical pipeline installation monitoring module, and an installation quality abnormality warning is issued when the electromechanical and electrical pipeline installation deviation is detected; the abnormal monitoring data acquisition module is used to collect historical monitoring data, including the historical installation data of the electromechanical and electrical pipeline and the electromechanical and electrical pipeline installation deviation data caused by different reasons; when the quality abnormality tracing module detects that the currently installed electromechanical and electrical pipeline is offset, a first risk estimation model and a second risk estimation model are established to trace and estimate the causes of the current wire pipe installation quality abnormality; the construction quality management module selects priority inspection targets based on the tracing estimation results, and performs the current wire pipe installation quality inspection work based on the selection results.

[0043] The electromechanical pipeline installation monitoring module includes a measuring point setting unit, a measuring point distance measuring unit and a wire pipe deviation alarm unit; a number of measuring points are randomly set on the electromechanical wire pipe through the measuring point setting unit, that is, a number of measuring points are set on the pipeline; the measuring point distance measuring unit is used to use a laser rangefinder to regularly measure the interval distance between a number of randomly set measuring points; the wire pipe deviation alarm unit determines that the installed wire pipe is offset when the interval distance between any two measuring points changes, and sends an electromechanical wire pipe deviation alarm signal to the monitoring terminal.

[0044] The abnormal monitoring data acquisition module includes a historical abnormal data acquisition unit, a support frame image acquisition unit and a wire tube welding data acquisition unit;

[0045] The historical data of past electromechanical wire and conduit deviations are collected through a historical abnormal data collection unit, the historical data including the number of times the electromechanical wire and conduit deviates due to improper fixation of a support frame used to fix the electromechanical wire and conduit, the number of times the electromechanical wire and conduit deviates due to improper welding, and the time data for installing support frames when different types of support frames were used to fix the electromechanical wire and conduit in the past, and the structures of different types of support frames are different; the image data of support frames previously used in the installation process of electromechanical wire and conduit are collected through a support frame image collection unit; the number of welding points on the electromechanical wire and conduit previously installed is collected through a wire conduit welding data collection unit; the historical installation data of electromechanical wire and conduit includes the image data of support frames previously used in the installation process of electromechanical wire and conduit and the number of welding points on the electromechanical wire and conduit previously installed.

[0046] The quality anomaly tracing module includes a risk analysis and comparison unit and a deviation anomaly cause prediction unit; the risk analysis and comparison unit is used to retrieve historical anomaly data, analyze the difficulty of installing the support frame used in the previous installation of electromechanical wire and conduits, analyze the first risk coefficient of the electromechanical wire and conduit deviation caused by improper fixation of the support frame with different installation difficulties when the electromechanical wire and conduit was installed in the past, and generate a first risk prediction model after training the installation difficulty data and the first risk coefficient; the risk analysis and comparison unit is also used to analyze the second risk coefficient of the electromechanical wire and conduit deviation caused by improper welding when the electromechanical wire and conduit was installed in the past, and generate a second risk prediction model after training the number of welding points and the second risk coefficient; when the currently installed electromechanical wire and conduit is monitored to be deviated, the image data of the support frame used to fix the currently installed electromechanical wire and conduit is obtained, the installation difficulty of the current support frame is predicted after image comparison, the predicted installation difficulty is input into the first risk prediction model, and the current risk caused by improper fixation of the support frame is output A first predicted risk coefficient for the current wire pipe to be offset; obtaining the number of welding points on the currently installed electromechanical wire pipe, inputting the number of welding points into a second risk prediction model, outputting a second predicted risk coefficient for the current wire pipe to be offset due to improper welding of the electromechanical wire pipe, and comparing the first predicted risk coefficient and the second predicted risk coefficient; predicting the cause of the current electromechanical wire pipe offset according to the predicted risk coefficient comparison result through a deviation abnormality cause prediction unit: if the first predicted risk coefficient is greater than the second predicted risk coefficient, predicting the cause of the current electromechanical wire pipe offset is improper fixation of the support frame used to fix the current electromechanical wire pipe; if the first predicted risk coefficient is less than the second predicted risk coefficient, predicting the cause of the current electromechanical wire pipe offset is improper welding of the current electromechanical wire pipe; if the first predicted risk coefficient is equal to the second predicted risk coefficient, predicting the cause of the current electromechanical wire pipe offset is improper welding of the current electromechanical wire pipe or improper fixation of the support frame used to fix the current electromechanical wire pipe.

[0047] The construction quality management module includes a priority inspection target selection unit and an abnormal deviation cause inspection unit; the priority inspection target is selected according to the deviation cause prediction result through the priority inspection target selection unit: if it is predicted that the cause of the deviation of the current electromechanical wire and conduit is that the support frame used to fix the current electromechanical wire and conduit is improperly fixed, the priority inspection target is selected as the support frame used to fix the current electromechanical wire and conduit; if it is predicted that the cause of the deviation of the current electromechanical wire and conduit is improper welding of the current electromechanical wire and conduit, the priority inspection target is selected as the welding point of the current electromechanical wire and conduit; if it is predicted that the cause of the deviation of the current electromechanical wire and conduit is improper welding of the current electromechanical wire and conduit or the support frame used to fix the current electromechanical wire and conduit is improperly fixed, the priority inspection target is selected as the welding point of the current electromechanical wire and conduit; Improper determination means that the priority inspection target is not selected; through the deviation abnormality inspection unit, personnel are arranged to conduct abnormal cause investigation of the current electromechanical and electrical pipe deviation according to the priority inspection target selection results: if the selected priority inspection target is the support frame used to fix the current electromechanical and electrical pipe, personnel are arranged to give priority to checking whether the support frame used to fix the electromechanical and electrical pipe that is currently deviated is fixed; if the selected priority inspection target is the welding point of the current electromechanical and electrical pipe, personnel are arranged to give priority to checking whether all welding points of the electromechanical and electrical pipe that is currently deviated have welding defects; if no priority inspection target is selected, personnel are arranged to perform support frame fixation inspection and welding defect inspection at the same time.

[0048] Example 2: Figure 2 As shown, this embodiment provides a method for managing the quality of electromechanical pipeline installation based on data analysis, which is implemented based on the management system in the embodiment and specifically includes the following steps:

[0049] S101: Monitor the installation quality of electromechanical wire and conduit, and issue an abnormal warning of installation quality when the electromechanical wire and conduit installation deviation is detected: randomly set k measuring points on the electromechanical wire and conduit, use a laser rangefinder to regularly measure the interval between the k measuring points, and when the interval between any two measuring points changes, it is determined that the installed conduit is deviated, and a electromechanical wire and conduit deviation alarm signal is sent to the monitoring terminal;

[0050] S102: Collect historical monitoring data, including historical installation data of electromechanical and electrical conduits and installation deviation data of electromechanical and electrical conduits caused by different reasons: It is collected that m different support frames have been used to fix electromechanical and electrical conduits in the past, and the average time required for each installation of m different support frames is t={t1, t2, ...t m}, the average time is obtained by averaging the time required for each support frame to be installed in the past, collecting image data of m kinds of support frames, and collecting the number of times the electromechanical wire and conduit were offset due to improper fixation of m kinds of support frames when installing electromechanical wire and conduit in the past and using corresponding m kinds of different support frames to fix the electromechanical wire and conduit. The data set is H={H1, H2, ...H m}, the number of welding points on the electromechanical wire pipes installed in the past is collected as M={M1, M2, ...M n}, n represents the number of items in the set M. The number of welding points in the set M is different. When the electromechanical wire and conduit with the corresponding number of welding points is installed in the past, the number of times the electromechanical wire and conduit is offset due to improper welding of the electromechanical wire and conduit is counted as L={L1, L2, ...L n}, L n Indicates that there is M n The number of times that the welding points of the electromechanical wires and conduits are offset due to improper welding during installation;

[0051] S103: When the currently installed electromechanical wire and conduit is detected to be offset, a first risk prediction model and a second risk prediction model are established to retroactively predict the cause of the abnormal quality of the current conduit installation: According to the formula Calculate the installation difficulty G of a random support frame i , i represents the i-th support frame, and the installation difficulty data set of m types of support frames is G={G1, G2, ...G i , ... G m},according to Analysis of the installation difficulty of the previous installation of mechanical and electrical conduits i The first risk factor R of the electromechanical wire pipe deviation caused by improper fixing of the support frame i , H i represents the number of times the electromechanical wire and conduit was deviated due to improper fixation of the i-th support frame when the electromechanical wire and conduit was installed and fixed with the i-th support frame in the past. The first risk coefficient data set is {R1, R2, ...R i , ... R m}, forming the first training data {(G1, R1), (G2, R2), ... (G i , R i ),...(G m , R m )}, and establish the first risk estimation model after performing a straight line fitting on the first training data: , and represents the fitting coefficient of the first risk estimation model, x represents the variable representing the installation difficulty in the first risk estimation model, and y represents the variable representing the first risk coefficient in the first risk estimation model;

[0052] according to Analysis of M j The second risk factor r of the electromechanical conduit with 1 welding point being deviated due to improper welding during installation j , the second risk coefficient data set is obtained as {r1, r2, ...r j ,...rn}, forming the second training data {(M1, r1), (M2, r2), ... (M j , r j ),... (M n , r n )}, a second risk prediction model is established after a straight line fitting is performed on the second training data: , and represents the fitting coefficient of the second risk prediction model, X represents the variable referring to the number of welding points in the second risk prediction model, and Y represents the variable referring to the second risk coefficient in the second risk prediction model;

[0053] When the currently installed electromechanical wire and conduit is detected to be offset, the image data of the support frame used to fix the currently installed electromechanical wire and conduit is obtained, and the image A of the support frame used to fix the currently installed electromechanical wire and conduit is compared one by one with the m types of support frame images. The support structure similarity SSIM (A, B) of image A and image B is obtained. Image B is an image of a random support among m types of supports. C1 and C2 are constants. and Represent the mean of images A and B respectively, and Represent the standard deviation of images A and B respectively, represents the covariance of images A and B, and obtains the similarity of the support frame structure between image A and each support frame image. The installation difficulty of the support frame with the highest similarity to the support frame structure of image A is obtained as F. , the highest similarity is S max , the current installation difficulty of the support frame is predicted to be F*S max , F*S max Input into the first risk estimation model: Let x=F*S max , * is the multiplication sign, and the output is the first predicted risk coefficient of the current line tube deviation caused by improper support frame fixation. , the number of welding points on the electromechanical wire pipe that is currently offset is obtained as k, let X = k, and the second predicted risk coefficient of the current wire pipe offset caused by improper welding of the electromechanical wire pipe is output as ,Compare and :like , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is that the support frame used to fix the current electromechanical and electrical conduit is improperly fixed; if , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is improper welding of the current electromechanical and electrical conduit; if , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is improper welding of the current electromechanical and electrical conduit or improper fixation of the support frame used to fix the current electromechanical and electrical conduit;

[0054] S104: Select a priority inspection target based on the traceability prediction result, and perform the current wire tube installation quality inspection work based on the selection result: if it is predicted that the reason for the deviation of the current electromechanical wire tube is that the support frame used to fix the current electromechanical wire tube is improperly fixed, select the priority inspection target as the support frame used to fix the current electromechanical wire tube; if it is predicted that the reason for the deviation of the current electromechanical wire tube is improper welding of the current electromechanical wire tube, select the priority inspection target as the welding point of the current electromechanical wire tube; if it is predicted that the reason for the deviation of the current electromechanical wire tube is improper welding of the current electromechanical wire tube or improper fixing of the support frame used to fix the current electromechanical wire tube, it indicates that no priority inspection target is selected;

[0055] If the priority inspection target selected is the support frame used to fix the current electromechanical and electrical conduit, arrange personnel to prioritize checking whether the support frame used to fix the electromechanical and electrical conduit that is currently offset is fixed; if the priority inspection target selected is the welding point of the current electromechanical and electrical conduit, arrange personnel to prioritize checking whether all welding points of the electromechanical and electrical conduit that is currently offset have welding defects; if no priority inspection target is selected, arrange personnel to perform support frame fixation inspection and welding defect inspection at the same time;

[0056] For example, the first prediction risk factor for predicting that the current line pipe is offset due to improper fixing of the support frame is , is 0.87, and the second prediction risk coefficient for the current wire tube deviation caused by improper welding of the electromechanical wire tube is , is 0.65, 0.87>0.65, It is predicted that the reason for the current displacement of the electromechanical and electrical conduit is that the support frame used to fix the current electromechanical and electrical conduit is improperly fixed. The priority inspection target is selected as the support frame used to fix the current electromechanical and electrical conduit, and personnel are arranged to give priority to checking whether the support frame used to fix the currently deviated electromechanical and electrical conduit has been fixed.

[0057] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. The electromechanical pipeline installation quality management system based on data analysis is characterized by: It includes electromechanical pipeline installation monitoring module, abnormal monitoring data acquisition module, quality abnormality tracing module and construction quality management module; The electromechanical pipeline installation monitoring module is used to monitor the installation quality of electromechanical and electrical conduits, and an abnormal installation quality warning is issued when the electromechanical and electrical conduit installation deviation is detected; Collecting historical monitoring data through the abnormal monitoring data collection module, including historical installation data of electromechanical and electrical conduits and installation deviation data of electromechanical and electrical conduits caused by different reasons; When the quality abnormality tracing module detects that the electromechanical wire and conduit currently installed is offset, a first risk estimation model and a second risk estimation model are established to trace and estimate the cause of the current wire conduit installation quality abnormality; The construction quality management module selects priority inspection targets according to the retrospective estimation results, and performs current wire pipe installation quality inspection work according to the selection results; The quality anomaly tracing module includes a risk analysis and comparison unit and an offset anomaly cause prediction unit; The risk analysis and comparison unit retrieves historical abnormal data, analyzes the difficulty of installing the support frame used in the previous installation of the electromechanical wire and conduit, analyzes the first risk coefficient of the electromechanical wire and conduit being offset due to improper fixing of the support frame with different installation difficulties when the electromechanical wire and conduit was installed in the past, and generates a first risk estimation model after training the installation difficulty data and the first risk coefficient; The risk analysis and comparison unit is also used to analyze the second risk coefficient of the displacement of the electromechanical and electrical conduit caused by improper welding during the previous installation of the electromechanical and electrical conduit, and to generate a second risk prediction model after training the number of welding points and the second risk coefficient. When the currently installed electromechanical and electrical conduit is monitored to be offset, the image data of the support frame used to fix the currently installed electromechanical and electrical conduit is obtained, and the installation difficulty of the current support frame is predicted after image comparison, and the predicted installation difficulty is input into the first risk prediction model, and the first predicted risk coefficient of the current wire conduit being offset due to improper fixation of the support frame is output; the number of welding points on the currently installed electromechanical and electrical conduit is obtained, and the number of welding points is input into the second risk prediction model, and the second predicted risk coefficient of the current wire conduit being offset due to improper welding of the electromechanical and electrical conduit is output, and the first predicted risk coefficient and the second predicted risk coefficient are compared.

2. The electromechanical pipeline installation quality management system based on data analysis according to claim 1 is characterized in that: The electromechanical pipeline installation monitoring module includes a measuring point setting unit, a measuring point distance measurement unit and a line pipe deviation alarm unit; A plurality of measuring points are randomly set on the electromechanical and electrical conduits by means of the measuring point setting unit; The measuring point distance measuring unit is used to periodically measure the interval distances between a number of randomly set measuring points using a laser rangefinder; The wire pipe deviation alarm unit determines that the installed wire pipe is deviated when the interval distance between any two measuring points is measured to be changed, and sends a motor wire pipe deviation alarm signal to the monitoring terminal.

3. The electromechanical pipeline installation quality management system based on data analysis according to claim 2 is characterized in that: The abnormal monitoring data acquisition module includes a historical abnormal data acquisition unit, a support frame image acquisition unit and a wire tube welding data acquisition unit; The historical abnormal data collection unit collects historical data of past occurrences of electromechanical wire and conduit deviations, wherein the historical data includes data on the number of times the electromechanical wire and conduit deviates due to improper fixation of a support frame used to fix the electromechanical wire and conduit, data on the number of times the electromechanical wire and conduit deviates due to improper welding of the electromechanical wire and conduit, and data on the time of installing a support frame when different types of support frames were used to fix the electromechanical wire and conduit in the past; The support frame image acquisition unit is used to collect image data of the support frame previously used in the electromechanical and electrical conduit installation process; The wire pipe welding data collection unit collects information on the number of welding points on the electromechanical wire pipes installed in the past.

4. The electromechanical pipeline installation quality management system based on data analysis according to claim 3 is characterized in that: The deviation abnormality cause prediction unit predicts the cause of the deviation of the current electromechanical electrical and wire pipe based on the predicted risk coefficient comparison result: if the first predicted risk coefficient is greater than the second predicted risk coefficient, it is predicted that the cause of the deviation of the current electromechanical electrical and wire pipe is improper fixation of the support frame used to fix the current electromechanical electrical and wire pipe; if the first predicted risk coefficient is less than the second predicted risk coefficient, it is predicted that the cause of the deviation of the current electromechanical electrical and wire pipe is improper welding of the current electromechanical electrical and wire pipe; if the first predicted risk coefficient is equal to the second predicted risk coefficient, it is predicted that the cause of the deviation of the current electromechanical electrical and wire pipe is improper welding of the current electromechanical electrical and wire pipe or improper fixation of the support frame used to fix the current electromechanical electrical and wire pipe.

5. The electromechanical pipeline installation quality management system based on data analysis according to claim 4 is characterized in that: The construction quality management module includes a priority inspection target selection unit and an offset abnormality cause inspection unit; The priority inspection target selection unit selects a priority inspection target according to the prediction result of the offset cause: if it is predicted that the offset of the current electromechanical wire and conduit is caused by improper fixation of the support frame used to fix the current electromechanical wire and conduit, the priority inspection target is selected as the support frame used to fix the current electromechanical wire and conduit; if it is predicted that the offset of the current electromechanical wire and conduit is caused by improper welding of the current electromechanical wire and conduit, the priority inspection target is selected as the welding point of the current electromechanical wire and conduit; if it is predicted that the offset of the current electromechanical wire and conduit is caused by improper welding of the current electromechanical wire and conduit or improper fixation of the support frame used to fix the current electromechanical wire and conduit, it indicates that no priority inspection target is selected; Through the abnormal deviation inspection unit, personnel are arranged to conduct abnormal cause investigation of the current electromechanical electrical and wire pipe deviation according to the priority inspection target selection results: if the selected priority inspection target is the support frame used to fix the current electromechanical electrical and wire pipe, personnel are arranged to give priority to checking whether the support frame used to fix the electromechanical and wire pipe that is currently deviated is fixed; if the selected priority inspection target is the welding point of the current electromechanical and wire pipe, personnel are arranged to give priority to checking whether all welding points of the electromechanical and wire pipe that is currently deviated have welding defects; if no priority inspection target is selected, personnel are arranged to perform support frame fixation inspection and welding defect inspection at the same time.

6. A method for quality management of electromechanical pipeline installation based on data analysis, characterized in that: include: S101: Monitor the installation quality of electromechanical and electrical conduits, and issue an abnormal warning of installation quality when deviation of the electromechanical and electrical conduits is detected; S102: Collecting historical monitoring data, including historical installation data of electromechanical and electrical conduits and installation deviation data of electromechanical and electrical conduits caused by different reasons; S103: when it is detected that the electromechanical wire and conduit currently installed is offset, a first risk prediction model and a second risk prediction model are established to retroactively predict the cause of the abnormal quality of the current conduit installation; S104: Selecting a priority inspection target based on the traceability estimation result, and performing a current wire tube installation quality inspection based on the selection result; The S101 includes: randomly setting k measuring points on the electromechanical wire pipe, using a laser rangefinder to regularly measure the interval between the k measuring points, and determining that the installed wire pipe is offset when the interval between any two measuring points changes, and sending an electromechanical wire pipe offset alarm signal to the monitoring terminal; S102 includes: collecting m different support frames used in the past for fixing the electromechanical and electrical conduits during the installation of the electromechanical and electrical conduits, and calculating the average time required for each installation of the m different support frames as t={t1, t2, ...t m }, collect image data of m kinds of support frames, and collect the number of times when the electromechanical wire pipe is offset due to improper fixation of m kinds of support frames when installing the electromechanical wire pipe and using corresponding m kinds of different support frames to fix the electromechanical wire pipe in the past. The data set is H={H1, H2, ...H m }, the number of welding points on the electromechanical wire pipes installed in the past is collected as M={M1, M2, ...M n }, n represents the number of items in the set M. The number of welding points in the set M is different. When the electromechanical wire and conduit with the corresponding number of welding points is installed in the past, the number of times the electromechanical wire and conduit is offset due to improper welding of the electromechanical wire and conduit is counted as L={L1, L2, ...L n }, L n Indicates that there is M n The number of times that the welding points of the electromechanical wires and conduits are offset due to improper welding during installation; The S103 includes: according to the formula Calculate the installation difficulty G of a random support frame i , i represents the i-th support frame, and the installation difficulty data set of m types of support frames is G={G1, G2, ...G i , ... G m },according to Analysis of the installation difficulty of the previous installation of mechanical and electrical conduits i The first risk factor R of the electromechanical wire pipe deviation caused by improper fixing of the support frame i , H i represents the number of times the electromechanical wire and conduit was deviated due to improper fixation of the i-th support frame when the electromechanical wire and conduit was installed and fixed with the i-th support frame in the past. The first risk coefficient data set is {R1, R2, ...R i , ... R m }, forming the first training data {(G1, R1), (G2, R2), ... (G i , R i ),...(G m , R m )}, and establish the first risk estimation model after performing a straight line fitting on the first training data: , and represents the fitting coefficient of the first risk estimation model, x represents the variable representing the installation difficulty in the first risk estimation model, and y represents the variable representing the first risk coefficient in the first risk estimation model; according to Analysis of M j The second risk factor r of the electromechanical conduit with 1 welding point being deviated due to improper welding during installation j , the second risk coefficient data set is obtained as {r1, r2, ...r j ,...r n }, forming the second training data {(M1, r1), (M2, r2), ... (M j , r j ),... (M n , r n )}, a second risk prediction model is established after a straight line fitting is performed on the second training data: , and represents the fitting coefficient of the second risk prediction model, X represents the variable referring to the number of welding points in the second risk prediction model, and Y represents the variable referring to the second risk coefficient in the second risk prediction model; When the currently installed electromechanical wire and conduit is detected to be offset, the image data of the support frame used to fix the currently installed electromechanical wire and conduit is obtained, and the image A of the support frame used to fix the currently installed electromechanical wire and conduit is compared one by one with the m types of support frame images. The support structure similarity SSIM (A, B) of image A and image B is obtained. Image B is an image of a random support among m types of supports. C1 and C2 are constants. and Represent the mean of images A and B respectively, and Represent the standard deviation of images A and B respectively, represents the covariance of images A and B, and obtains the similarity of the support frame structure between image A and each support frame image. The installation difficulty of the support frame with the highest similarity to the support frame structure of image A is obtained as F. , the highest similarity is S max , the current installation difficulty of the support frame is predicted to be F*S max , F*S max Input into the first risk estimation model: Let x=F*S max , the first predicted risk coefficient of the current line tube deviation caused by improper support frame fixation is output as , the number of welding points on the electromechanical wire pipe that is currently offset is obtained as k, let X = k, and the second predicted risk coefficient of the current wire pipe offset caused by improper welding of the electromechanical wire pipe is output as ,Compare and .

7. The electromechanical pipeline installation quality management method based on data analysis according to claim 6 is characterized in that: like , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is that the support frame used to fix the current electromechanical and electrical conduit is improperly fixed; if , it is predicted that the reason for the deviation of the current electromechanical and electrical conduit is improper welding of the current electromechanical and electrical conduit; if , it is predicted that the reason for the deviation of the current electromechanical electrical conduit is improper welding of the current electromechanical electrical conduit or improper fixation of the support frame used to fix the current electromechanical electrical conduit.

8. The electromechanical pipeline installation quality management method based on data analysis according to claim 7 is characterized in that: The S104 includes: if it is predicted that the reason for the deviation of the current electromechanical wire and conduit is that the support frame used to fix the current electromechanical wire and conduit is improperly fixed, the priority inspection target is selected as the support frame used to fix the current electromechanical wire and conduit; if it is predicted that the reason for the deviation of the current electromechanical wire and conduit is that the current electromechanical wire and conduit is improperly welded, the priority inspection target is selected as the welding point of the current electromechanical wire and conduit; if it is predicted that the reason for the deviation of the current electromechanical wire and conduit is that the current electromechanical wire and conduit is improperly welded or the support frame used to fix the current electromechanical wire and conduit is improperly fixed, it indicates that no priority inspection target is selected; If the priority inspection target selected is the support frame used to fix the current electromechanical and electrical conduits, arrange personnel to prioritize checking whether the support frame used to fix the currently offset electromechanical and electrical conduits is fixed; if the priority inspection target selected is the welding point of the current electromechanical and electrical conduits, arrange personnel to prioritize checking whether all welding points of the currently offset electromechanical and electrical conduits have welding defects; if no priority inspection target is selected, arrange personnel to perform support frame fixation inspection and welding defect inspection at the same time.

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