CN117611016B - Full-flow traceability production system for small concrete prefabricated parts based on Internet of things - Google Patents

Full-flow traceability production system for small concrete prefabricated parts based on Internet of things Download PDF

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CN117611016B
CN117611016B CN202410095121.2A CN202410095121A CN117611016B CN 117611016 B CN117611016 B CN 117611016B CN 202410095121 A CN202410095121 A CN 202410095121A CN 117611016 B CN117611016 B CN 117611016B
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CN117611016A (en
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于健
程兵
张俊
梁超
付香才
程维国
李福健
付立宏
陈文尹
范竹军
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Anhui Shuzhi Construction Research Institute Co ltd
China Tiesiju Civil Engineering Group Co Ltd CTCE Group
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China Tiesiju Civil Engineering Group Co Ltd CTCE Group
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Abstract

The invention belongs to the field of flow retrospective production of concrete prefabricated parts, and particularly discloses a small-sized full-flow retrospective production system of concrete prefabricated parts based on the Internet of things, which comprises the following components: and analyzing the assembly standard coefficient of the assembly die by acquiring the maximum value of the profile dislocation distance of the corresponding splicing position of each sub-structural member on the assembly die and the exposed length of the bolt. And (3) evaluating the vibration force in the mold by detecting the corresponding void volume of each void position filled with concrete in the assembly mold. And evaluating the quality index of the demoulding finished product by acquiring the corner gap overflow value and the hole recess value of the splicing position corresponding to each sub-structural member. And (3) the temperature in the curing process is regulated and controlled in real time by analyzing the curing qualification index of each timing point. The quality condition of the concrete prefabricated parts is known by evaluating the whole-flow comprehensive production quality coefficient of the small concrete prefabricated parts, and meanwhile, the production defect reasons of the concrete prefabricated parts produced in batches are traced.

Description

Full-flow traceability production system for small concrete prefabricated parts based on Internet of things
Technical Field
The invention belongs to the field of flow tracing production of concrete prefabricated parts, and relates to a full-flow tracing production system of a small concrete prefabricated part based on the Internet of things.
Background
The concrete prefabricated parts play a vital role in the construction engineering, are widely applied to the aspects of building structures, roads, bridges and the like, and have irreplaceable roles in accelerating the construction progress, improving the construction quality and reducing the cost of the building. However, there are many problems in the conventional concrete prefabricated part production process, such as imperfect product quality tracing in the production process, and these problems have important effects on the quality safety and sustainability of the concrete prefabricated part. Therefore, the method has very important significance for quality tracing of the concrete prefabricated part production flow.
The existing analysis content comprises the following defects: (1) The existing concrete prefabricated part production process does not detect and adjust the state of the concrete vacancy in the die in real time, so that cavities or cracks can exist in the concrete prefabricated part, the compressive resistance, bending resistance and other mechanical properties of the concrete prefabricated part can be obviously reduced, and the service life and safety of the concrete prefabricated part can be further influenced.
(2) The existing concrete prefabricated part production process only focuses on surface defects of a demolding process, the situation of gravity center deviation of the concrete prefabricated part is not analyzed based on the surface defects, the gravity center deviation can increase risks of overturning and damaging the concrete prefabricated part, particularly when external load is applied, the gravity center deviation can cause unstable mechanical properties of the concrete prefabricated part, and therefore evaluation results of demolding quality can be floated on the surface and lack of comprehensiveness due to the fact that the gravity center deviation is not evaluated.
(3) The existing concrete prefabricated part production process does not adjust the curing temperature in real time according to the curing state, the hydration reaction of the concrete is carried out within a certain temperature range, if the temperature is too high or too low, the hydration reaction rate can be influenced, so that the curing temperature is not adjusted in real time, the curing quality can not be effectively controlled, and the conditions of insufficient curing or excessive curing occur.
(4) The existing concrete prefabricated part production process is limited to detecting production defects, and the defect reasons in the production process are not traced, so that potential problems in the production process cannot be fundamentally solved, and the product quality and the production efficiency are affected.
Disclosure of Invention
In view of this, in order to solve the problems presented in the above-mentioned background art, a full-flow retrospective production system of small-sized concrete prefabricated components based on the internet of things is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides a whole-flow traceability production system of a small concrete prefabricated part based on the Internet of things, which comprises the following components: the mould assembling module is used for obtaining the model making shape of the concrete prefabricated part, extracting the making shape of each sub-structural part in the model making shape, assembling each sub-structural part to obtain the assembling mould of the small concrete prefabricated part, and further analyzing the assembling standard coefficient of the assembling mould。
And the pouring molding module is used for filling concrete into the assembling die, scanning and identifying each vacant position filled with the concrete in the assembling die, evaluating the vibration force corresponding to each vacant position, and further vibrating and compacting each vacant position.
The demoulding quality detection module is used for obtaining a demoulding finished product of the concrete prefabricated part and analyzing the quality index of the demoulding finished product。
The curing standard analysis module is used for detecting the curing operation process at regular time according to the same interval time length to obtain each timing point of the curing operation process, analyzing the curing qualification index of the demolding finished product at each timing point, analyzing the curing temperature value of each timing point, and further obtaining the curing qualification evaluation coefficient of the demolding finished product。
The production defect cause tracing module is used for acquiring the evaluation coefficients of each concrete prefabricated part produced in the batch corresponding to each flow step, wherein each flow step comprises a die assembly flow, a demolding flow and a maintenance flow, the whole flow comprehensive production quality coefficient of the concrete prefabricated part is evaluated, and then the production defect cause is traced.
The analysis method for analyzing the assembly standard coefficient of the assembly mold is as follows: scanning the shape of the assembly mold, identifying the outline shape of each sub-structural member on the assembly mold, and positioning the corresponding splicing position of each sub-structural member on the assembly mold.
Acquiring splicing profile dislocation areas of each sub-structural member and adjacent sub-structural members, extracting the maximum value of the splicing profile dislocation distance of each sub-structural member and adjacent sub-structural members from the splicing profile dislocation areas, and marking the maximum value of the profile dislocation distance of the corresponding splicing position of each sub-structural member as，/>Representing the number of the sub-structural part,/-, and>。
obtaining the structure thickness of the splicing position corresponding to each sub-structural member, and analyzing to obtain the dislocation defect risk factor of the splicing position corresponding to each sub-structural member under the condition of the current structure thickness。
Acquiring exposed length of bolts of corresponding splicing positions of all sub-structural membersAnalyzing the assembly standard coefficient of the assembly mold>Wherein->And respectively representing the set reference values of the corresponding profile dislocation distance of the splicing position and the exposed length of the bolt.
The vibration force corresponding to each vacant position is obtained by the following way: identifying an internal image of the assembly mold by a laser scanning device, extracting each vacant position and vacant volume of each vacant position in the internal image of the assembly mold, and obtaining the height distance between each vacant position and the feed inlet position of the assembly mold。
Counting other vacant positions existing in the height distance range corresponding to each vacant position, and summarizing the vacant volumes to obtain the comprehensive vacant volumes in the height distance range corresponding to each vacant positionFurther, the corresponding vibration force of each vacancy position is determined>Wherein->Representation ofDistance per height, ">Representing the unit void volume, < >>Representing the vibration control force corresponding to the unit defect coefficient, < ->Number indicating the position of the vacancy>。
Exemplary details of the vibratory compaction of each empty location are: and screening out the maximum vibration force from the vibration forces corresponding to the vacant positions, and using the maximum vibration force as an actual force to perform vibration operation on the assembly mold filled with concrete.
Illustratively, the steps corresponding to the analysis of the quality index of the demolding finished product are as follows: identifying the profile of a demoulding finished product of the concrete prefabricated part, and obtaining the corner gap overflow value and the hole recess value of each sub-structural part corresponding to the splicing position, thereby analyzing the surface flatness of each sub-structural part corresponding to the splicing position on the demoulding finished product。
Acquiring the edge position of the splicing position corresponding to each sub-structural member on the demoulding finished product and the center point position of the demoulding finished product to obtain the distance between the splicing position corresponding to each sub-structural member and the center point positionFurther evaluate the gravity center offset influence weight of the corresponding splicing position of each sub-structural component>，/>And e is a natural constant, and represents a unit distance value between the corresponding splicing position of the sub-structural member and the position of the central point.
Comparing the corner gap overflow value and the hole recess value of the splicing position corresponding to each sub-structural member, and evaluating the gravity center position deviation influence factor of the demoulding finished productWherein->Respectively represent the firstCorner gap overflow value and hole recess value of sub-structural part corresponding to splicing position->Indicating the deviation allowable value between the preset corner gap overflow value and the hole concave value, and further analyzing the quality index of the demoulding finished product>。
Illustratively, the analysis of the curing qualification index of the demolded product at each timing point is as follows: acquiring curing images of the demolding finished product at each timing point in the curing operation process, and identifying each curing characteristic monitoring value of the demolding finished product from the curing images at each timing pointFurther analyzing the curing qualification index of the demoulding finished product at each timing pointWherein->In the first place for the release products stored in the information storeThe timing point is->Expected monitoring value of individual maintenance profile, +.>To release the finished product>Setting deviation allowable value of monitoring value corresponding to each maintenance characteristic, < >>For the number of maintenance features->For the number of timing points, +.>A number indicating a timing point in time,，/>number indicating maintenance feature, ++>E is a natural constant.
From analytical formulasObtaining the curing qualification evaluation coefficient of the demoulding finished product>。
Exemplary, the specific contents of analyzing the curing temperature value of each timing point include: and comparing the curing qualified index of the demolding finished product at each timing point with the corresponding curing qualified index limiting range of each expected state stored in the information storage library, wherein each expected state comprises an unqualified state, a medium-tuning state and a qualified state.
When the curing qualified index of the demoulding product at a certain timing point is in a range of limiting the curing qualified index corresponding to the unqualified state, a prefabricated curing temperature value at the timing point is obtained, the ratio between the minimum value of the limiting range of the curing qualified index corresponding to the intermediate adjusting state and the curing qualified index at the timing point is extracted, the ratio is multiplied by the prefabricated curing temperature value to obtain an adjusting temperature value at the timing point, and then the curing operation is carried out on the demoulding product according to the adjusting temperature value in the time period of the timing point and the next timing point.
When the curing qualified index of the demoulding finished product at a certain timing point is in the range of the limiting range of the curing qualified index corresponding to the medium-adjustment state, the ratio between the minimum value of the limiting range of the curing qualified index corresponding to the qualified state and the curing qualified index at the timing point is extracted, and then the adjusting temperature value of the medium-adjustment state is obtained in a similar manner according to the analysis mode of the adjusting temperature value of the unqualified state.
When the curing qualified index of the demoulding product at a certain timing point is in a range defined by the qualified state corresponding to the curing qualified index, a prefabricated curing temperature value of the timing point corresponding to the next timing point is obtained and is used as a regulating temperature value, and then curing operation is carried out on the demoulding product according to the regulating temperature value.
The evaluation coefficients of the process steps comprise an assembly standard coefficient of an assembly mold corresponding to the mold assembly process, a demolding finished product quality index corresponding to the demolding process, and a curing qualification evaluation coefficient of a demolding finished product corresponding to the curing process.
The concrete mass coefficient specific evaluation formula for evaluating the whole-flow comprehensive production of the concrete prefabricated part is as follows:in the formula->The set assembly standard coefficient of the assembly mold, the quality index of the demolding finished product and the corresponding production quality coefficient influence weight of the curing qualification evaluation coefficient of the demolding finished product are respectively represented.
The method for tracing the production defect causes comprises the following steps: performing the same analysis on each concrete prefabricated part produced in the batch according to the mode to obtain each concrete prefabricated part produced in the batch corresponding to each concrete prefabricated partThe evaluation coefficients of the process steps are compared with the expected standard coefficients of the concrete prefabricated parts stored in the information storage library and produced in the corresponding process steps to obtain the coefficient difference rates of the corresponding mould assembling process, demoulding process and maintenance process of each concrete prefabricated part, which are respectively recorded as，/>Representing the number of concrete prefabricated parts produced in the batch, < >>。
Screening out each concrete prefabricated part with coefficient difference rate of which the mould assembling flow, the demoulding flow and the curing flow are greater than the corresponding flow set difference rate allowable value, and counting according to the difference rate to obtain the number of concrete prefabricated parts with corresponding evaluation coefficients of the batch assembling flow, the demoulding flow and the curing flow which are not up to standardJudging model for defect reason according to the batch production>Wherein->Represents the total number of production of the prefabricated parts of the batch, +.>Indicating that the defect cause of the batch production is abnormal in the die assembly process, < > in>Indicating that the defect cause of the batch production is abnormal demolding flow>The defect cause of the batch production is the abnormal maintenance flow.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the maximum value of the profile dislocation distance of each sub-structural member corresponding to the splicing position on the assembly die and the exposed length of the bolt are obtained, and the assembly standard coefficient of the assembly die is analyzed, so that the accuracy and the quality stability of die assembly can be effectively evaluated. In addition, by detecting the corresponding empty volumes of all the empty positions filled with concrete in the assembling die, the corresponding vibrating force of all the empty positions is evaluated, and then vibration compaction adjustment is carried out on all the empty positions, so that the empty or the area with insufficient compactness can be found in time, and further pouring adjustment is carried out pertinently, and the uniformity of the filling state of the concrete in the assembling die is ensured.
(2) According to the invention, the corner gap overflow value and the hole recess value of each sub-structural part corresponding to the splicing position are obtained, the gravity center position deviation influence factor of the demoulding finished product is analyzed, the quality index of the demoulding finished product is further evaluated, the deviation of the gravity center position of the demoulding finished product is found early, the attention can be paid and the improvement can be rapidly carried out, the basis is provided for optimizing the quality of the mould, so that the serious quality problem is avoided, and the production efficiency and the product quality are improved.
(3) According to the invention, the curing temperature regulation value of the next timing point is determined by analyzing the curing qualification indexes of the timing points, and the temperature in the curing process is regulated and controlled in real time, so that the pouring effect of the concrete prefabricated part can reach the expected qualification indexes, and the reprocessing and maintenance cost caused by poor pouring effect is reduced.
(4) The invention can comprehensively understand the quality condition of the concrete prefabricated part in the production process by evaluating the whole-flow comprehensive production quality coefficient of the small concrete prefabricated part, is beneficial to timely finding and solving the quality problem in the production, and improves the quality stability and reliability of the product. Meanwhile, the production defect reasons are traced back by counting and comparing the number of corresponding components of various defect reasons in all concrete prefabricated components produced in the batch, so that production management staff can find out main problems, and improvement measures can be pertinently taken to improve the batch production quality and reduce future production loss.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system module connection of the present invention.
Fig. 2 is a view showing the splice profile offset regions of adjacent sub-structural members of the present invention.
Reference numerals: 1. splicing the profile dislocation areas.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a whole-flow traceable production system of a small-sized concrete prefabricated part based on the internet of things, which comprises: the device comprises a die assembly module, a pouring molding module, a demolding quality detection module, a maintenance standard analysis module, a production defect cause tracing module and an information storage library. The mold assembly module is connected with the pouring molding module, the pouring molding module is connected with the demolding quality detection module, the demolding quality detection module is connected with the curing standard reaching analysis module, the production defect cause tracing module is respectively connected with the mold assembly module, the demolding quality detection module and the curing standard reaching analysis module, and the information storage library is respectively connected with the mold assembly module, the pouring molding module, the demolding quality detection module, the curing standard reaching analysis module and the production defect cause tracing module.
The mold assembly module is used for obtaining the model making shape of the concrete prefabricated part and extracting the model makingThe manufacturing shape of each sub-structural member in the shape, assembling each sub-structural member to obtain an assembling die of the small-sized concrete prefabricated member, and further analyzing the assembling standard coefficient of the assembling die。
Referring to fig. 2, in an embodiment of the present invention, the analysis method for analyzing the standard coefficient of the assembly mold is as follows: and scanning the shape of the assembly mold by adopting a laser scanning technology, identifying the outline shape of each sub-structural member on the assembly mold, acquiring the splicing position of each sub-structural member and the adjacent sub-structural member, and marking the splicing position as the corresponding splicing position of each sub-structural member on the assembly mold.
Extracting edge contour lines of all the sub-structural members from the contour shapes of all the sub-structural members, comparing the edge contour lines of all the sub-structural members with the edge contour lines of adjacent sub-structural members, wherein the non-overlapping area is the splicing contour dislocation area of all the sub-structural members and the adjacent sub-structural members, extracting the maximum value of the splicing contour dislocation distance of all the sub-structural members and the adjacent sub-structural members, and recording the maximum value of the contour dislocation distance of the corresponding splicing position of all the sub-structural members，/>Representing the number of the sub-structural part,/-, and>。
extracting the structure thickness of each sub-structural member corresponding to the splicing position from the outline shape of each sub-structural member on the assembly dieAnalyzing to obtain dislocation defect risk factors of corresponding splicing positions of all the sub-structural members under the condition of the current structure thickness，/>Representing the deviation thickness of unit structure corresponding to the support stability evaluation index, < + >>And representing that the splicing position stored in the information storage library corresponds to the preset thickness of the safety structure.
Image acquisition is carried out on the corresponding splicing position of each sub-structural member, and the exposed length of the bolt of the corresponding splicing position of each sub-structural member is obtained through an image recognition technologyAnalyzing the standard coefficient of assembly of the assembly moldWherein->And respectively representing the set reference values of the corresponding profile dislocation distance of the splicing position and the exposed length of the bolt.
The pouring molding module is used for filling concrete into the assembling die, scanning and identifying each vacant position filled with the concrete in the assembling die, evaluating the vibration force corresponding to each vacant position, and further vibrating and compacting each vacant position.
In a specific embodiment of the present invention, the method for obtaining the vibration force corresponding to each vacant position is as follows: identifying the internal image of the assembly mold by a laser scanning device, extracting the internal image characteristics of the assembly mold by adopting an image identification technology, comparing the internal image characteristics with the image characteristics of the vacant positions stored in an information storage library, screening out the vacant positions and the vacant volumes of the vacant positions in the internal image of the assembly mold, and obtaining the height distance between the vacant positions and the feed inlet position of the assembly mold。
The area of the height distance between each vacancy position and the position of the feed inlet of the assembling die is recorded as the height distance range corresponding to each vacancy positionCounting other vacant positions existing in the height distance range corresponding to each vacant position, and summarizing the vacant volumes to obtain the comprehensive vacant volumes in the height distance range corresponding to each vacant positionFurther, the corresponding vibration force of each vacancy position is determined>Wherein->Representing the unit height distance, +.>Representing the unit void volume, < >>Representing the vibration control force corresponding to the unit defect coefficient, < ->A number indicating the position of the void,。
in yet another embodiment of the present invention, the specific contents of vibration compaction for each empty position are: and screening out the maximum vibration force from the vibration forces corresponding to the vacant positions, and using the maximum vibration force as an actual force to perform vibration operation on the assembly mold filled with concrete.
According to the invention, the maximum value of the profile dislocation distance of each sub-structural member corresponding to the splicing position on the assembly die and the exposed length of the bolt are obtained, and the assembly standard coefficient of the assembly die is analyzed, so that the accuracy and the quality stability of die assembly can be effectively evaluated. In addition, by detecting the corresponding empty volumes of all the empty positions filled with concrete in the assembling die, the corresponding vibrating force of all the empty positions is evaluated, and then vibration compaction adjustment is carried out on all the empty positions, so that the empty or the area with insufficient compactness can be found in time, and further pouring adjustment is carried out pertinently, and the uniformity of the filling state of the concrete in the assembling die is ensured.
The demoulding quality detection module is used for obtaining a demoulding finished product of the concrete prefabricated part and analyzing the quality index of the demoulding finished product。
In a specific embodiment of the invention, the corresponding steps of analyzing the quality index of the demolding finished product are as follows: and identifying the profile of the demoulding finished product of the concrete prefabricated part based on a laser scanning technology, extracting the standard profile of the demoulding finished product of the model manufacturing shape from an information storage library, overlapping and comparing the two profiles, and if the profile of the demoulding finished product of the concrete prefabricated part of which the splicing position corresponds to a certain sub-structural part overflows from the standard profile of the demoulding finished product of the model manufacturing shape, acquiring the profile overflow volume of the splicing position corresponding to the sub-structural part, and marking the profile overflow volume as the corner gap overflow value of the splicing position corresponding to the sub-structural part.
If the standard profile of the demoulding finished product of the mould manufacturing shape of the corresponding splicing position of a certain sub-structural component overflows the profile of the demoulding finished product of the concrete prefabricated component, the profile overflow volume of the corresponding splicing position of the sub-structural component is recorded as a hole concave value of the corresponding splicing position of the sub-structural component.
Obtaining the corner gap overflow value and the hole dent value of the corresponding splicing position of each sub-structural member according to the mode, and respectively marking the corner gap overflow value and the hole dent value asAccordingly, the surface flatness of each independent convex position on the demoulding finished product is analyzedWherein->The corresponding unit values of the corner gap overflow value and the hole recess value are respectively indicated.
Obtaining the edge position of the splicing position corresponding to each sub-structural member on the demoulding finished product and the center point position of the demoulding finished product from the demoulding finished product outline of the concrete prefabricated member to obtain each sub-structureDistance between corresponding splicing position and center point position of pieceFurther evaluate the gravity center offset influence weight of the corresponding splicing position of each sub-structural component>，/>And e is a natural constant, and represents a unit distance value between the corresponding splicing position of the sub-structural member and the position of the central point.
Comparing the corner gap overflow value and the hole recess value of the splicing position corresponding to each sub-structural member, and evaluating the gravity center position deviation influence factor of the demoulding finished productWherein->The deviation allowable value between the preset corner gap overflow value and the hole concave value is represented, and then the quality index of the demoulding finished product is analyzed。
According to the invention, the corner gap overflow value and the hole recess value of each sub-structural part corresponding to the splicing position are obtained, the gravity center position deviation influence factor of the demoulding finished product is analyzed, the quality index of the demoulding finished product is further evaluated, the deviation of the gravity center position of the demoulding finished product is found early, the attention can be paid and the improvement can be rapidly carried out, the basis is provided for optimizing the quality of the mould, so that the serious quality problem is avoided, and the production efficiency and the product quality are improved.
The curing standard analysis module is used for detecting the curing operation process at regular time according to the same interval time length to obtain each timing point of the curing operation process, analyzing the curing qualification index of the demolding finished product at each timing point, analyzing the curing temperature value of each timing point, and further obtaining the curing qualification evaluation coefficient of the demolding finished product。
In a specific embodiment of the invention, the curing qualification index of the analyzed demolding finished product at each timing point is as follows: acquiring curing images of the demolding finished product at each timing point in the curing operation process based on a laser scanning technology, and identifying each curing characteristic monitoring value of the demolding finished product from the curing images at each timing pointFurther analyzing the curing qualification index of the demoulding product at each timing point>Wherein->In +.>The timing point is->Expected monitoring value of individual maintenance profile, +.>To release the finished product>Setting deviation allowable value of monitoring value corresponding to each maintenance characteristic, < >>For the number of maintenance features->For the number of timing points, +.>Number indicating timing point->，/>Number indicating maintenance feature, ++>E is a natural constant.
Specifically, each maintenance characteristic comprises a cement paste color characteristic and a surface particle characteristic, and each maintenance characteristic monitoring value comprises the depth of the cement paste color characteristic and the roughness of the surface particle characteristic.
From analytical formulasObtaining the curing qualification evaluation coefficient of the demoulding finished product>。
In another embodiment of the present invention, the specific content for analyzing the curing temperature value at each timing point includes: and comparing the curing qualified index of the demolding finished product at each timing point with the corresponding curing qualified index limiting range of each expected state stored in the information storage library, wherein each expected state comprises an unqualified state, a medium-tuning state and a qualified state.
When the curing qualified index of the demoulding product at a certain timing point is in a range of limiting the curing qualified index corresponding to the unqualified state, a prefabricated curing temperature value at the timing point is obtained, the ratio between the minimum value of the limiting range of the curing qualified index corresponding to the intermediate adjusting state and the curing qualified index at the timing point is extracted, the ratio is multiplied by the prefabricated curing temperature value to obtain an adjusting temperature value at the timing point, and then the curing operation is carried out on the demoulding product according to the adjusting temperature value in the time period of the timing point and the next timing point.
When the curing qualified index of the demoulding finished product at a certain timing point is in the range of the limiting range of the curing qualified index corresponding to the medium-adjustment state, the ratio between the minimum value of the limiting range of the curing qualified index corresponding to the qualified state and the curing qualified index at the timing point is extracted, and then the adjusting temperature value of the medium-adjustment state is obtained in a similar manner according to the analysis mode of the adjusting temperature value of the unqualified state.
When the curing qualified index of the demoulding product at a certain timing point is in a range defined by the qualified state corresponding to the curing qualified index, a prefabricated curing temperature value of the timing point corresponding to the next timing point is obtained and is used as a regulating temperature value, and then curing operation is carried out on the demoulding product according to the regulating temperature value.
According to the invention, the curing temperature regulation value of the next timing point is determined by analyzing the curing qualification indexes of the timing points, and the temperature in the curing process is regulated and controlled in real time, so that the pouring effect of the concrete prefabricated part can reach the expected qualification indexes, and the reprocessing and maintenance cost caused by poor pouring effect is reduced.
The production defect cause tracing module is used for obtaining the evaluation coefficients of the corresponding flow steps of each concrete prefabricated part produced in batches, wherein each flow step comprises a die assembly flow, a demolding flow and a maintenance flow, the whole flow comprehensive production quality coefficient of the concrete prefabricated part is evaluated, and then the production defect cause is traced.
In a specific embodiment of the present invention, the evaluation coefficients of the steps of the process include an assembly standard coefficient of the mold assembly process corresponding to the assembly mold, a quality index of the demolding finished product corresponding to the demolding process, and a curing qualification evaluation coefficient of the demolding finished product corresponding to the curing process.
In a specific embodiment of the invention, the specific evaluation formula for evaluating the total-flow comprehensive production quality coefficient of the concrete prefabricated part is as follows:in the formula->Respectively representing the set production quality coefficient influence weight corresponding to the assembly standard coefficient, the quality index of the demoulding finished product and the maintenance qualification evaluation coefficient of the demoulding finished product, for example +.>。
In another embodiment of the present invention, the method for tracing the cause of the production defect is as follows: performing the same analysis on each concrete prefabricated part produced in the batch according to the mode to obtain the evaluation coefficient of each concrete prefabricated part produced in the batch corresponding to each flow step, comparing the evaluation coefficient with the expected standard coefficient of the concrete prefabricated part stored in the information storage library and produced in the corresponding flow step to obtain the coefficient difference rate of the corresponding mould assembling flow, demoulding flow and maintenance flow of each concrete prefabricated part, and respectively marking as，/>The number of the concrete prefabricated parts produced in the batch is shown,。
screening out each concrete prefabricated part with coefficient difference rate of which the mould assembling flow, the demoulding flow and the curing flow are greater than the corresponding flow set difference rate allowable value, and counting according to the difference rate to obtain the number of concrete prefabricated parts with corresponding evaluation coefficients of the batch assembling flow, the demoulding flow and the curing flow which are not up to standardJudging model for defect reason according to the batch production>Wherein->Represents the total number of production of the prefabricated parts of the batch, +.>Indicating that the defect cause of the batch production is abnormal in the die assembly process, < > in>Indicating that the defect cause of the batch production is abnormal demolding flow>Indicating that the defect cause of the batch production is abnormal maintenance flow, < > in the production process>Is a logical and sign.
The information storage library is used for storing preset safety structure thickness corresponding to the splicing position, supporting stability evaluation indexes corresponding to unit structure deviation thickness, image characteristics of the vacant positions, standard outline of a demoulding finished product in a model manufacturing shape, quality index limiting range corresponding to each expected state and prefabrication plan values of maintenance operation related data, expected monitoring values of each maintenance characteristic of the demoulding finished product at each timing point time and expected standard coefficients of concrete prefabricated parts produced in each flow step.
The invention can comprehensively understand the quality condition of the concrete prefabricated part in the production process by evaluating the whole-flow comprehensive production quality coefficient of the small concrete prefabricated part, is beneficial to timely finding and solving the quality problem in the production, and improves the quality stability and reliability of the product. Meanwhile, the production defect reasons are traced back by counting and comparing the number of corresponding components of various defect reasons in all concrete prefabricated components produced in the batch, so that production management staff can find out main problems, and improvement measures can be pertinently taken to improve the batch production quality and reduce future production loss.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.

Claims (7)

1. Small-size concrete prefabricated component whole flow tracees back production system based on thing networking, its characterized in that, this system includes:
the mould assembling module is used for obtaining the model making shape of the concrete prefabricated part, extracting the making shape of each sub-structural part in the model making shape, assembling each sub-structural part to obtain the assembling mould of the small concrete prefabricated part, and further analyzing the assembling standard coefficient of the assembling mould；
The pouring molding module is used for filling concrete into the assembling die, scanning and identifying each vacant position filled with the concrete in the assembling die, evaluating the vibration force corresponding to each vacant position, and further vibrating and compacting each vacant position;
the demoulding quality detection module is used for obtaining a demoulding finished product of the concrete prefabricated part and analyzing the quality index of the demoulding finished product；
The curing standard analysis module is used for detecting the curing operation process at regular time according to the same interval time length to obtain each timing point of the curing operation process, analyzing the curing qualification index of the demolding finished product at each timing point, analyzing the curing temperature value of each timing point, and further obtaining the curing qualification evaluation coefficient of the demolding finished product；
The production defect cause tracing module is used for acquiring the evaluation coefficients of each concrete prefabricated part produced in the batch corresponding to each flow step, wherein each flow step comprises a die assembly flow, a demolding flow and a maintenance flow, and the whole flow comprehensive production quality coefficient of the concrete prefabricated part is evaluated so as to trace the production defect cause;
the corresponding analysis mode of the assembly standard coefficient of the analysis assembly mold is as follows:
scanning the shape of the assembly mold, identifying the outline shape of each sub-structural member on the assembly mold, and positioning the corresponding splicing position of each sub-structural member on the assembly mold;
acquiring splicing profile dislocation areas of each sub-structural member and adjacent sub-structural members, extracting the maximum value of the splicing profile dislocation distance of each sub-structural member and adjacent sub-structural members from the splicing profile dislocation areas, and marking the maximum value of the profile dislocation distance of the corresponding splicing position of each sub-structural member as，/>Representing the number of the sub-structural part,/-, and>；
obtaining the structure thickness of the splicing position corresponding to each sub-structural member, and analyzing to obtain the dislocation defect risk factor of the splicing position corresponding to each sub-structural member under the condition of the current structure thickness；
Acquiring exposed length of bolts of corresponding splicing positions of all sub-structural membersAnalyzing the standard coefficient of assembly of the assembly moldWherein->Respectively representing the set reference values of the profile dislocation distance corresponding to the splicing position and the exposed length of the bolt;
the corresponding steps of analyzing and demolding finished product quality indexes are as follows:
identifying the profile of a demoulding finished product of the concrete prefabricated part, and obtaining the corner gap overflow value and the hole recess value of each sub-structural part corresponding to the splicing position, thereby analyzing the surface flatness of each sub-structural part corresponding to the splicing position on the demoulding finished product；
Acquiring the edge position of the splicing position corresponding to each sub-structural member on the demoulding finished product and the center point position of the demoulding finished product to obtain the distance between the splicing position corresponding to each sub-structural member and the center point positionFurther evaluate the gravity center offset influence weight of the corresponding splicing position of each sub-structural component>，/>Representing a unit distance value between a splicing position corresponding to the sub-structural member and a center point position, wherein e is a natural constant;
comparing the corner gap overflow value and the hole recess value of the splicing position corresponding to each sub-structural member, and evaluating the gravity center position deviation influence factor of the demoulding finished productWherein->Respectively represent +.>Corner gap overflow value and hole recess value of sub-structural part corresponding to splicing position->Indicating the deviation allowable value between the preset corner gap overflow value and the hole concave value, and further analyzing the quality index of the demoulding finished product>；
And analyzing the curing qualification indexes of the demolding finished product at each timing point, wherein the process is as follows:
acquiring curing images of the demolding finished product at each timing point in the curing operation process, and identifying each curing characteristic monitoring value of the demolding finished product from the curing images at each timing pointFurther analyzing the curing qualification index of the demoulding finished product at each timing pointWherein->In +.>The timing point is->Expected monitoring value of individual maintenance profile, +.>To release the finished product>Setting deviation allowable value of monitoring value corresponding to each maintenance characteristic, < >>For the number of maintenance features->For the number of timing points, +.>A number indicating a timing point in time,，/>number indicating maintenance feature, ++>E is a natural constant;
from analytical formulasObtaining the curing qualification evaluation coefficient of the demoulding finished product>。
2. The internet of things-based full-flow traceability production system for small concrete prefabricated parts, which is characterized in that: the vibration force corresponding to each vacant position is obtained by the following steps:
identifying an internal image of the assembly mold by a laser scanning device, extracting each vacant position and vacant volume of each vacant position in the internal image of the assembly mold, and obtaining the height distance between each vacant position and the feed inlet position of the assembly mold；
Counting other vacant positions existing in the height distance range corresponding to each vacant position, and summarizing the vacant volumes to obtain the comprehensive vacant volumes in the height distance range corresponding to each vacant positionFurther determining the vibration force corresponding to each vacancy positionWherein->Representing the unit height distance, +.>Representing the volume of the unit void,representing the vibration control force corresponding to the unit defect coefficient, < ->Number indicating the position of the vacancy>。
3. The internet of things-based full-flow traceability production system for small concrete prefabricated parts, which is characterized in that: the concrete contents of vibration compaction on each vacant position are as follows: and screening out the maximum vibration force from the vibration forces corresponding to the vacant positions, and using the maximum vibration force as an actual force to perform vibration operation on the assembly mold filled with concrete.
4. The internet of things-based full-flow traceability production system for small concrete prefabricated parts, which is characterized in that: the concrete contents of analyzing the maintenance temperature value of each timing point include:
comparing the curing qualified index of the demoulding finished product at each timing point with the limiting range of curing qualified indexes corresponding to each expected state stored in the information storage library, wherein each expected state comprises an unqualified state, a medium-tuning state and a qualified state;
when the curing qualified index of the demoulding product at a certain timing point is in a range of limiting the curing qualified index corresponding to the unqualified state, a prefabricated curing temperature value at the timing point is obtained, the ratio between the minimum value of the limiting range of the curing qualified index corresponding to the intermediate adjusting state and the curing qualified index at the timing point is extracted, the ratio is multiplied by the prefabricated curing temperature value to obtain an adjusting temperature value at the timing point, and then the curing operation is carried out on the demoulding product according to the adjusting temperature value in the time period of the timing point and the next timing point;
when the curing qualified index of the demoulding finished product at a certain timing point is in the range of the limitation of the curing qualified index corresponding to the medium-adjustment state, extracting the ratio between the minimum value of the limitation range of the curing qualified index corresponding to the qualified state and the curing qualified index at the timing point, and further acquiring the adjusting temperature value of the medium-adjustment state in a similar manner according to the analysis mode of the adjusting temperature value of the unqualified state;
when the curing qualified index of the demoulding product at a certain timing point is in a range defined by the qualified state corresponding to the curing qualified index, a prefabricated curing temperature value of the timing point corresponding to the next timing point is obtained and is used as a regulating temperature value, and then curing operation is carried out on the demoulding product according to the regulating temperature value.
5. The internet of things-based full-flow traceability production system for small concrete prefabricated parts, which is characterized in that: the evaluation coefficients of the process steps comprise an assembly standard coefficient of the assembly mold corresponding to the mold assembly process, a quality index of the demolding finished product corresponding to the demolding process, and a curing qualification evaluation coefficient of the demolding finished product corresponding to the curing process.
6. The internet of things-based full-flow traceability production system for small concrete prefabricated parts, which is characterized in that: the concrete precast member total flow comprehensive production quality coefficient evaluation specific evaluation formula is as follows:in the formula->The set assembly standard coefficient of the assembly mold, the quality index of the demolding finished product and the corresponding production quality coefficient influence weight of the curing qualification evaluation coefficient of the demolding finished product are respectively represented.
7. The internet of things-based full-flow traceability production system for small concrete prefabricated parts, which is characterized in that: the method for tracing the production defect cause comprises the following steps:
performing the same analysis on each concrete prefabricated part produced in the batch according to the mode to obtain the evaluation coefficient of each concrete prefabricated part produced in the batch corresponding to each flow step, comparing the evaluation coefficient with the expected standard coefficient of the concrete prefabricated part stored in the information storage library and produced in the corresponding flow step to obtain the coefficient difference rate of the corresponding mould assembling flow, demoulding flow and maintenance flow of each concrete prefabricated part, and respectively marking as，/>Representing the number of concrete prefabricated parts produced in the batch, < >>；
Screening out each concrete prefabricated part with coefficient difference rate of which the mould assembling flow, the demoulding flow and the curing flow are greater than the corresponding flow set difference rate allowable value, and counting according to the difference rate to obtain the number of concrete prefabricated parts with corresponding evaluation coefficients of the batch assembling flow, the demoulding flow and the curing flow which are not up to standardDiscriminating model for production defect reason according to batchWherein->Represents the total number of production of the prefabricated parts of the batch, +.>Indicating that the defect cause of the batch production is abnormal in the die assembly process, < > in>Indicating that the defect cause of the batch production is abnormal demolding flow>The defect cause of the batch production is the abnormal maintenance flow.
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