CN114595552B - Concrete precision control system based on curve combination Liang Moxing - Google Patents
Concrete precision control system based on curve combination Liang Moxing Download PDFInfo
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Abstract
The invention belongs to the field of concrete batching, relates to a precision control technology, and is used for solving the problem that an existing concrete precision control system cannot establish a relation between a precision detection result and external influence factors, in particular to a concrete precision control system based on a curve combination Liang Moxing, which comprises a precision control platform, wherein the precision control platform is in communication connection with a batching supervision module, an auxiliary analysis module and a comprehensive grading module, the batching supervision module is used for monitoring and managing the precision of a concrete batching process, the auxiliary analysis module comprises an environment analysis unit and a time analysis unit, and the environment analysis unit is used for carrying out influence analysis on a batching environment through environment data; the invention can analyze the precision by adopting the traditional precision detection method aiming at the batching process with the evaluation grade of three stages, and feed back the batching process with the evaluation grade of one stage or two stages from the side surface to be qualified for the batching process with the evaluation grade of one stage or two stages.
Description
Technical Field
The invention belongs to the field of concrete batching, relates to a precision control technology, and particularly relates to a concrete precision control system based on curve combination Liang Moxing.
Background
The concrete is artificial stone which is prepared by taking cement as a main cementing material, mixing with water, sand and stones, doping chemical additives and mineral admixtures when necessary, mixing according to a proper proportion, uniformly stirring, compacting, forming, curing and hardening;
in the invention patent with the publication number of CN102658600B, a control method of the batching precision of the concrete stirring equipment is disclosed, the control method of the batching precision of the concrete stirring equipment fully utilizes the fall correction principle and the Windows system file access principle, and solves the problem that the batching precision is greatly fluctuated due to the change of the fall caused by the change of the material formula according to different fall modes of different access of the formula, and the more production of the same formula is, the more stable the system is, and the higher the precision is;
however, the control method of the batching precision of the concrete stirring device has the following problems: the accuracy detection result cannot be linked with external influence factors, and each time the material is prepared, the preparation error is analyzed and calculated by adopting a complex and tedious detection mode as required, so that the data acquisition and calculation process is tedious, and the external influence factors cannot be analyzed for the same type of material to obtain an evaluation standard;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a concrete precision control system based on curve combination Liang Moxing, which is used for solving the problems that the existing concrete precision control system cannot link a precision detection result with external influence factors, so that the data acquisition and calculation processes are complicated.
The technical problems to be solved by the invention are as follows: how to provide a concrete precision control system which can combine external influence factors to formulate evaluation standards and simplify data acquisition and calculation processes.
The aim of the invention can be achieved by the following technical scheme:
the concrete precision control system based on the curve combination Liang Moxing comprises a precision control platform, wherein the precision control platform is in communication connection with a batching supervision module, an auxiliary analysis module and a comprehensive rating module;
the batching supervision module is used for monitoring and managing the precision of the concrete batching process;
the auxiliary analysis module comprises an environment analysis unit and a time analysis unit;
the environment analysis unit is used for carrying out influence analysis on the batching environment through environment data;
the time analysis unit is used for detecting and analyzing the batching time;
the comprehensive rating module is used for analyzing and evaluating the precision grade of the batching process.
Further, the concrete process of supervising the concrete batching precision by the batching supervising module comprises the following steps: recording the drop after starting the batching until no drop is recorded; acquiring a stable value of the ingredients, and marking the stable value as WD when the stable value exists; obtaining a formula value PF, marking a difference value between the formula value PF and a stable value WD as a target value MB, marking an absolute value of a difference value between a falling difference value and the target value as an error value, and comparing the error value with an error threshold value: if the error value is smaller than or equal to the error threshold value, judging that the batching precision meets the requirement; if the error value is larger than the error threshold value, judging that the accuracy of the current batching does not meet the requirement.
Further, the environmental data includes temperature data and humidity data, the temperature data is an average value of a material temperature value and an air temperature value, and the humidity data is an average value of a material humidity value and an air humidity value.
Further, the process of the environmental analysis unit for performing influence analysis on the ingredient environment comprises the following steps: acquiring a material temperature value and an air temperature value of an ingredient, marking an average value of the material temperature value and the air temperature value as a temperature level value WP, acquiring a standard temperature value, marking an absolute value of a difference value between the temperature level value and the standard temperature value as a temperature difference value WC, acquiring a material humidity value and an air humidity value of the ingredient, marking an average value of the material humidity value and the air humidity value as a humidity level value SP, acquiring a standard humidity value, marking an absolute value of a difference value between the humidity level value and the standard humidity value as a humidity difference value SC, and obtaining an environmental impact coefficient HY through a formula HY=α1 xWC+α2 xSC, wherein α1 and α2 are proportionality coefficients, and 0 < α1 < α2 < 1; and comparing the environmental impact coefficient HY with an environmental impact threshold HYmax, and judging whether the environment in the batching process meets the requirement or not according to the comparison result of the environmental impact coefficient HY and the environmental impact threshold HYmax.
Further, the comparing process of the environmental impact coefficient HY and the environmental impact threshold value HYmax includes:
if the environmental influence coefficient HY is smaller than or equal to the environmental influence threshold HYmax, judging that the batching environment meets the requirement, and sending an environment qualification signal to the precision control platform by the environment analysis unit;
if the environmental influence coefficient HY is greater than the environmental influence threshold HYmax, the batching environment is judged to be unsatisfied with the requirement, and the environment analysis unit sends an environment unqualified signal to the precision control platform.
Further, the time analysis unit is used for detecting and analyzing the batching time, and the specific process of detecting and analyzing the batching time by the time analysis unit comprises the following steps: randomly selecting a plurality of batching processes of similar materials, marking the batching processes as a process i, wherein i=1, 2, …, n and n are positive integers, acquiring an error value of the process i, marking the batching duration of the process i as WZi, sequencing the process i from big to small, marking the process i with the error value WZi not larger than an error threshold as a qualified process, marking the maximum value and the minimum value in the batching duration of the qualified process as the maximum duration and the minimum duration respectively, marking the duration range formed by the maximum duration and the minimum duration as a standard range, and marking the average value of the maximum duration and the minimum duration as a duration standard value.
Further, the process of analyzing and evaluating the precision level of the batching process by the comprehensive rating module comprises the following steps: the method comprises the steps of obtaining an environmental influence coefficient HY of a batching process through an environmental analysis unit, obtaining batching duration of the batching process, marking the absolute value of a difference value between the batching duration and a duration standard value as SQ, and obtaining an evaluation coefficient PJ of the batching process through a formula PJ=γ1×HY+γ1×SQ, wherein γ1 and γ2 are proportionality coefficients, and γ1 is larger than γ2 and larger than 1; and comparing the evaluation coefficient PJ with evaluation thresholds PJmin and PJmax, judging the batching grade of the batching process according to the comparison result of the evaluation coefficient PJ and the evaluation thresholds PJmin and PJmax, and sending the batching grade of the batching process to the precision control platform by the comprehensive rating module.
Further, the comparison process of the evaluation coefficient PJ and the evaluation thresholds PJmin, PJmax includes:
if PJ is less than or equal to PJmin, judging the batching grade in the batching process to be a first grade;
if PJmin is less than PJ and less than PJmax, judging the batching grade in the batching process to be two-grade;
if PJ is more than or equal to PJmax, judging that the batching grade in the batching process is three-grade.
The invention has the following beneficial effects:
1. the precision of the batching process is accurately analyzed and calculated through the batching supervision module, so that the follow-up external influence factor analysis process can be ensured to adopt a batching precision analysis result as a standard, the follow-up external influence factor analysis process is prevented from being influenced by inaccurate batching precision detection result, the accuracy of the establishment of an evaluation standard is ensured, the follow-up batching process is initially detected by combining the evaluation standard, the processes of data acquisition and data analysis and calculation are simplified, and the precision analysis efficiency is improved;
2. the environment influence unit can be combined with the external environment to carry out side feedback on the precision detection result, the precision detection result is linked with influence factors of the external environment, the time analysis unit is combined with the batching time to carry out side feedback on the precision detection result, so that the batching precision evaluation standard is established by combining the external environment and the batching time length, and complex data acquisition and calculation processes in the precision detection are simplified;
3. the comprehensive rating module is used for obtaining an evaluation coefficient by combining the environment detection result and the duration analysis result, so that primary rating is carried out on the batching precision through the evaluation coefficient, precision analysis is carried out by adopting a traditional precision detection method aiming at a batching process with a rating of three, and the batching process with a rating of one or two is fed back from the side face, so that the batching process with the rating of one or two is qualified.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the 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 functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
The curve steel-concrete combined box girder has the advantages of light weight, strong spanning capability, high torsional rigidity and the like, is gradually and widely applied to the construction of urban highway overpasses and ramp bridges at present, and shows typical bending-torsion coupling stress characteristics and remarkably developed long-term downwarping phenomenon in the normal use stage, so that the requirement on batching precision in the concrete batching process of the combined box girder is higher.
As shown in fig. 1, a concrete precision control system based on curve combination Liang Moxing comprises a precision control platform, wherein the precision control platform is in communication connection with a batching supervision module, an auxiliary analysis module and a comprehensive rating module;
the batching supervision module is used for monitoring and managing the precision of the concrete batching process, and the concrete process of supervising the concrete batching precision by the batching supervision module comprises the following steps: recording the drop after starting the batching until no drop is recorded; acquiring a stable value of the ingredients, and marking the stable value as WD when the stable value exists; obtaining a formula value PF, marking a difference value between the formula value PF and a stable value WD as a target value MB, marking an absolute value of a difference value between a falling difference value and the target value as an error value, and comparing the error value with an error threshold value: if the error value is smaller than or equal to the error threshold value, judging that the batching precision meets the requirement; if the error value is larger than the error threshold, the fact that the batching precision does not meet the requirement is judged, the error value and the batching precision detection result obtained by the batching supervision module are used for monitoring batching precision, and meanwhile error standards are provided for the external influence factor standard formulation of the follow-up materials of the same type through the error value.
The auxiliary analysis module comprises an environment analysis unit and a time analysis unit.
The environment analysis unit is used for carrying out influence analysis on the batching environment through environment data, the environment data comprises temperature data and humidity data, the temperature data is the average value of a material temperature value and an air temperature value, the material temperature value and the air temperature value are directly acquired by a temperature sensor, the temperature sensor is a sensor capable of sensing temperature and converting the temperature into usable output signals, the temperature sensor is a core part of a temperature measuring instrument, the varieties are various, the humidity data is the average value of a material humidity value and an air humidity value, the material humidity value and the air humidity value are directly acquired by a humidity sensor, the humidity sensor is a device capable of sensing external humidity change and converting humidity into useful signals through physical or chemical property change of a device material, and the process of carrying out influence analysis on the batching environment by the environment analysis unit comprises: acquiring a material temperature value and an air temperature value of an ingredient, marking an average value of the material temperature value and the air temperature value as a temperature level value WP, acquiring a standard temperature value, marking an absolute value of a difference value between the temperature level value and the standard temperature value as a temperature difference value WC, acquiring a material humidity value and an air humidity value of the ingredient, marking an average value of the material humidity value and the air humidity value as a humidity level value SP, acquiring a standard humidity value, marking an absolute value of a difference value between the humidity level value and the standard humidity value as a humidity difference value SC, and obtaining an environmental impact coefficient HY through a formula HY=α1 xWC+α2 xSC, wherein the environmental impact coefficient is a value of a reaction ingredient environment suitability degree, the smaller the value of the environmental impact coefficient is the higher the ingredient environment suitability degree, wherein alpha 1 and alpha 2 are both proportional coefficients, and 0 < alpha 1 < alpha 2 < 1; comparing the environmental impact coefficient HY with an environmental impact threshold value HYmax: if the environmental influence coefficient HY is smaller than or equal to the environmental influence threshold HYmax, judging that the batching environment meets the requirement, and sending an environment qualification signal to the precision control platform by the environment analysis unit; if the environmental influence coefficient HY is greater than the environmental influence threshold HYmax, the batching environment is judged to be unsatisfied with the requirement, and the environment analysis unit sends an environment unqualified signal to the precision control platform.
The time analysis unit is used for detecting and analyzing the batching time, and the specific process of detecting and analyzing the batching time by the time analysis unit comprises the following steps: randomly selecting a plurality of batching processes of similar materials, marking the batching processes as a process i, wherein i=1, 2, …, n and n are positive integers, acquiring an error value of the process i, marking the batching duration of the process i as WZi, sequencing the process i from big to small, marking the process i with the error value WZi not larger than an error threshold value as a qualified process, marking the maximum value and the minimum value in the batching duration of the qualified process as the maximum duration and the minimum duration respectively, marking the duration range formed by the maximum duration and the minimum duration as a standard range, wherein the standard range is used for detecting and analyzing the batching duration of the subsequent batching process, and marking the average value of the maximum duration and the minimum duration as a duration standard value.
The comprehensive rating module is used for analyzing and evaluating the precision grade of the batching process, and the process of analyzing and evaluating the precision grade of the batching process by the comprehensive rating module comprises the following steps: the method comprises the steps of obtaining an environmental influence coefficient HY of a batching process through an environmental analysis unit, obtaining a batching duration of the batching process, marking an absolute value of a difference value between the batching duration and a duration standard value as SQ, obtaining an evaluation coefficient PJ of the batching process through a formula PJ=γ1×HY+γ1×SQ, wherein the evaluation coefficient PJ is a numerical value for carrying out side feedback on batching precision by combining external influence factors, and comparing the evaluation coefficient PJ with evaluation thresholds PJmin and PJmax after the batching precision is higher after the external influence factors are analyzed as the numerical value of the evaluation coefficient PJ is lower: if PJ is less than or equal to PJmin, judging the batching grade in the batching process to be a first grade; if PJmin is less than PJ and less than PJmax, judging the batching grade in the batching process to be two-grade; if PJ is more than or equal to PJmax, judging that the batching grade in the batching process is three-grade; and the comprehensive rating module sends the batching grade in the batching process to the precision control platform.
A concrete precision control system based on curve combination Liang Moxing monitors and manages the precision of a concrete batching process by adopting a batching supervision module to obtain an error value, analyzes the influence of batching environment by adopting an environment analysis unit through environment data to obtain an environment influence coefficient, detects and analyzes batching time by adopting a time analysis unit in combination with the error value to obtain a time standard value, further analyzes the environment influence coefficient and the time standard value to obtain an evaluation coefficient, and carries out grading judgment on the batching grade of the batching process by adopting a comparison result of the evaluation coefficient and an evaluation threshold value, thereby carrying out primary detection on the batching precision of the batching process by combining the batching grade.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula hy=α1×wc+α2×sc; collecting a plurality of groups of sample data by a person skilled in the art and setting corresponding environmental impact coefficients for each group of sample data; substituting the set environmental influence coefficient and the acquired sample data into a formula, forming a binary one-time equation set by any two formulas, screening the calculated coefficient and taking an average value to obtain values of alpha 1 and alpha 2 of 0.74 and 0.86 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding environmental impact coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the environmental influence coefficient is directly proportional to the value of the temperature difference value.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (1)
1. The concrete precision control system based on the curve combination Liang Moxing comprises a precision control platform, and is characterized in that the precision control platform is in communication connection with a batching supervision module, an auxiliary analysis module and a comprehensive rating module;
the batching supervision module is used for monitoring and managing the precision of the concrete batching process;
the auxiliary analysis module comprises an environment analysis unit and a time analysis unit;
the environment analysis unit is used for carrying out influence analysis on the batching environment through environment data;
the time analysis unit is used for detecting and analyzing the batching time;
the comprehensive rating module is used for analyzing and evaluating the precision grade of the batching process;
the environment data comprise temperature data and humidity data, wherein the temperature data is an average value of a material temperature value and an air temperature value, and the humidity data is an average value of a material humidity value and an air humidity value;
the concrete process of supervising the concrete batching precision by the batching supervising module comprises the following steps: recording the drop after starting the batching until no drop is recorded; acquiring a stable value of the ingredients, and marking the stable value as WD when the stable value exists; obtaining a formula value PF, marking a difference value between the formula value PF and a stable value WD as a target value MB, marking an absolute value of a difference value between a falling difference value and the target value as an error value, and comparing the error value with an error threshold value: if the error value is smaller than or equal to the error threshold value, judging that the batching precision meets the requirement; if the error value is larger than the error threshold value, judging that the batching precision does not meet the requirement;
the process of the environmental analysis unit for carrying out influence analysis on the batching environment comprises the following steps: acquiring a material temperature value and an air temperature value of an ingredient, marking an average value of the material temperature value and the air temperature value as a temperature level value WP, acquiring a standard temperature value, marking an absolute value of a difference value between the temperature level value and the standard temperature value as a temperature difference value WC, acquiring a material humidity value and an air humidity value of the ingredient, marking an average value of the material humidity value and the air humidity value as a humidity level value SP, acquiring a standard humidity value, marking an absolute value of a difference value between the humidity level value and the standard humidity value as a humidity difference value SC, and obtaining an environmental impact coefficient HY through a formula HY=α1 xWC+α2 xSC, wherein α1 and α2 are proportionality coefficients, and 0 < α1 < α2 < 1; comparing the environmental impact coefficient HY with an environmental impact threshold HYmax, and judging whether the environment in the batching process meets the requirement or not according to the comparison result of the environmental impact coefficient HY and the environmental impact threshold HYmax;
the process of comparing the environmental impact coefficient HY with the environmental impact threshold value HYmax includes:
if the environmental influence coefficient HY is smaller than or equal to the environmental influence threshold HYmax, judging that the batching environment meets the requirement, and sending an environment qualification signal to the precision control platform by the environment analysis unit;
if the environmental influence coefficient HY is greater than the environmental influence threshold HYmax, judging that the batching environment does not meet the requirement, and sending an environment disqualification signal to the precision control platform by the environment analysis unit;
the time analysis unit is used for detecting and analyzing the batching time, and the specific process of detecting and analyzing the batching time by the time analysis unit comprises the following steps: randomly selecting a plurality of batching processes of similar materials, marking the batching processes as a process i, wherein i=1, 2, …, n and n are positive integers, acquiring an error value of the process i, marking the batching duration of the process i as WZi, sequencing the process i from big to small, marking the process i with the error value WZi not larger than an error threshold as a qualified process, marking the maximum value and the minimum value in the batching duration of the qualified process as a maximum duration and a minimum duration respectively, marking the duration range formed by the maximum duration and the minimum duration as a standard range, and marking the average value of the maximum duration and the minimum duration as a duration standard value;
the process of analyzing and evaluating the precision grade of the batching process by the comprehensive rating module comprises the following steps: the method comprises the steps of obtaining an environmental influence coefficient HY of a batching process through an environmental analysis unit, obtaining batching duration of the batching process, marking the absolute value of a difference value between the batching duration and a duration standard value as SQ, and obtaining an evaluation coefficient PJ of the batching process through a formula PJ=γ1×HY+γ1×SQ, wherein γ1 and γ2 are proportionality coefficients, and γ1 is larger than γ2 and larger than 1; comparing the evaluation coefficient PJ with evaluation thresholds PJmin and PJmax, judging the batching grade of the batching process according to the comparison result of the evaluation coefficient PJ and the evaluation thresholds PJmin and PJmax, and sending the batching grade of the batching process to an accuracy control platform by the comprehensive rating module;
the comparison process of the evaluation coefficient PJ and the evaluation threshold PJmin and PJmax comprises the following steps:
if PJ is less than or equal to PJmin, judging the batching grade in the batching process to be a first grade;
if PJmin is less than PJ and less than PJmax, judging the batching grade in the batching process to be two-grade;
if PJ is more than or equal to PJmax, judging that the batching grade in the batching process is three-grade.
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