CN114595552A - Concrete precision management and control system based on curve combination beam model - Google Patents
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Abstract
The invention belongs to the field of concrete batching, relates to a precision management and control technology, and is used for solving the problem that the existing concrete precision management and control system cannot establish the relation between a precision detection result and an external influence factor, in particular to a concrete precision management and control system based on a curve combination beam model, which comprises a precision management and control platform, wherein the precision management and 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 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 analyzing the influence of a batching environment through environment data; the invention can adopt the traditional precision detection method to carry out precision analysis aiming at the batching process with the evaluation grade of three grades, and feeds back the batching process with the batching grade of one grade and the batching process of two grades to be qualified from the side aiming at the batching process with the evaluation grade of one grade or two grades.
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 a curve combination beam model.
Background
The concrete is artificial stone which is prepared by taking cement as a main cementing material, mixing water, sand, stones and chemical additives and mineral admixtures as necessary according to a proper proportion, uniformly stirring, densely forming, curing and hardening;
the invention patent with the publication number of CN102658600B discloses a control method for the batching precision of concrete mixing equipment, which makes full use of the fall correction principle and the Windows system file access principle, and accesses different fall modes according to different formulas, thereby solving the problem of large fluctuation of batching precision caused by the change of fall caused by the change of material formulas, and the more the production of the same formula is, the more stable the system is, the higher the precision is;
however, the method for controlling the batching precision of the concrete mixing equipment has the following problems: the precision detection result cannot be linked with external influence factors, and when the materials are proportioned each time, the batching errors are analyzed and calculated by adopting a complex and tedious detection mode, so that the data acquisition and calculation processes are complicated, and the external influence factors cannot be analyzed for the same type of materials to obtain an evaluation standard;
in view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a concrete precision management and control system based on a curve combination beam model, which is used for solving the problem that the existing concrete precision management and control system cannot establish the relation between the precision detection result and 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 management and control system which can combine external influence factors to make an evaluation standard and combine the evaluation standard to simplify the data acquisition and calculation processes.
The purpose of the invention can be realized by the following technical scheme:
a concrete precision control system based on a curve combination beam model 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 supervisory 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 analyzing the influence of the batching environment through environment data;
the time analysis unit is used for detecting and analyzing the batching time;
and the comprehensive rating module is used for analyzing and evaluating the precision grade of the batching process.
Further, the concrete process of the ingredient supervision module for supervising the accuracy of the concrete ingredients comprises: recording the fall after starting the batching until no fall is recorded; obtaining a stable value of the ingredient, and marking the stable value as WD when the stable value exists; obtaining a formula value PF, marking the difference value between the formula value PF and the stable value WD as a target value MB, marking the absolute value of the difference value between the 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 less than or equal to the error threshold value, judging that the batching precision meets the requirement; and if the error value is larger than the error threshold value, judging that the burdening precision does not meet the requirement.
Further, the environment data comprises temperature data and humidity data, the temperature data is an average value of the material temperature value and the air temperature value, and the humidity data is an average value of the material humidity value and the air humidity value.
Further, the process of analyzing the influence of the ingredient environment by the environment analysis unit includes: obtaining a material temperature value and an air temperature value of ingredients, marking the average value of the material temperature value and the air temperature value as a temperature level value WP, obtaining a standard temperature value, marking the absolute value of the difference value between the temperature level value and the standard temperature value as a temperature difference value WC, obtaining a material humidity value and an air humidity value of the ingredients, marking the average value of the material humidity value and the air humidity value as a humidity level value SP, obtaining a standard humidity value, marking the absolute value of the 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 = alpha 1 x WC + alpha 2 x SC, wherein alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than 0 and less than alpha 2 and less than 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 comparison process of the environmental impact coefficient HY with the environmental impact threshold value HYmax includes:
if the environmental impact coefficient HY is less than or equal to an environmental impact threshold HYmax, judging that the batching environment meets the requirement, and sending an environment qualified signal to the precision control platform by the environment analysis unit;
and if the environmental impact coefficient HY is greater than an environmental impact threshold HYmax, judging that the batching environment does not meet the requirements, and sending an unqualified environment signal to the precision control platform by the environment analysis unit.
Further, the time analysis unit is configured to perform detection analysis on the batching time, and a specific process of the time analysis unit performing detection analysis on the batching time includes: randomly selecting a plurality of times of material proportioning processes of the same kind of materials, marking the processes as a process i, i =1, 2, …, n and n as positive integers, obtaining an error value of the process i and marking the error value as WZi, obtaining the material proportioning time length of the process i and marking the material proportioning time length as PSi, sorting the process i by the sequence of the error values from large 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 material proportioning time length of the qualified process as a maximum time length and a minimum time length respectively, marking a time length range formed by the maximum time length and the minimum time length as a standard range, and marking the average value of the maximum time length and the minimum time length as a time length standard value.
Further, the process of analyzing and evaluating the accuracy grade of the batching process by the comprehensive rating module comprises the following steps: acquiring an environmental influence coefficient HY of the batching process and batching duration of the batching process through an environmental analysis unit, marking an absolute value of a difference value between the batching duration and a duration standard value as SQ, and acquiring an evaluation coefficient PJ of the batching process through a formula PJ = gamma 1 × HY + gamma 1 × SQ, wherein gamma 1 and gamma 2 are proportional coefficients, and gamma 1 is more than gamma 2 and more than 1; and comparing the evaluation coefficient PJ with the evaluation threshold values PJmin and PJmax, judging the batching grade of the batching process according to the comparison result of the evaluation coefficient PJ with the evaluation threshold values 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 with the evaluation threshold values PJmin, PJmax includes:
if the PJ is less than or equal to the PJmin, judging the batching grade in the batching process to be first grade;
if PJmin is more than PJ and less than PJmax, judging the batching grade in the batching process to be second grade;
and if the PJ is larger than or equal to the PJmax, judging the batching grade in the batching process to be three-grade.
The invention has the following beneficial effects:
1. the accuracy of the batching process is accurately analyzed and calculated through the batching supervision module, so that the batching accuracy analysis result can be adopted as a standard in the subsequent external influence factor analysis process, the subsequent external influence factor analysis process is prevented from being influenced by inaccurate batching accuracy detection results, the evaluation standard is accurately established, the subsequent batching process is initially detected by combining the evaluation standard, the data acquisition and data analysis and calculation process is simplified, and the accuracy analysis efficiency is improved;
2. the precision detection result can be subjected to side feedback by combining the external environment through the environment influence unit, the precision detection result is linked with influence factors of the external environment, and the time analysis unit is subjected to side feedback on the precision detection result by combining the batching time, so that a batching precision evaluation standard is established by combining the external environment and the batching duration, and the complex data acquisition and calculation process in precision detection is simplified;
3. the comprehensive rating module is combined with the environment detection result and the duration analysis result to obtain an evaluation coefficient, so that the batching precision is primarily evaluated through the evaluation coefficient, the traditional precision detection method is adopted to perform precision analysis aiming at the batching process with the third-level evaluation level, and the batching process with the first-level or second-level evaluation level is fed back from the side surface to be qualified.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The curve steel-concrete combined box girder has the advantages of light dead weight, strong spanning capability, large 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 a long-term downward deflection phenomenon which is obviously developed in the normal use stage, so that the requirement on the batching precision is higher in the concrete batching process of the combined box girder.
As shown in fig. 1, a concrete precision control system based on a curve combination beam model 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;
batching supervisory module is used for monitoring the precision of concrete batching process and manages, and concrete process that batching supervisory module carries out the supervision to concrete batching precision includes: recording the fall after starting the batching until no fall is recorded; acquiring a stable value of ingredients, and marking the stable value as WD when the stable value exists; obtaining a formula value PF, marking the difference value between the formula value PF and the stable value WD as a target value MB, marking the absolute value of the difference value between the 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 less 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, the batching precision does not meet the requirement, the error value obtained by the batching supervisory module and a batching precision detection result are used for monitoring the batching precision, and meanwhile, an error standard is provided for the external influence factor standard formulation of subsequent 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 analyzing the influence of 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 refers to a sensor which can sense the temperature and convert the temperature into usable output signals, the temperature sensor is the core part of a temperature measuring instrument and has various varieties, 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, and the humidity sensor can sense the change of the external humidity, and through the physical or chemical property change of device material, convert humidity into the device of useful signal, the process that the environment analysis unit influences the analysis to batching environment includes: obtaining a material temperature value and an air temperature value of a material, marking an average value of the material temperature value and the air temperature value as a temperature level value WP, obtaining 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, obtaining a material humidity value and an air humidity value of the material, marking an average value of the material humidity value and the air humidity value as a humidity level value SP, obtaining 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 influence coefficient HY through a formula HY = alpha 1 × WC + alpha 2 × SC, wherein the environmental influence coefficient is a value for reflecting the environmental suitability of the material, and the smaller the value of the environmental influence coefficient is higher, wherein alpha 1 and alpha 2 are proportional coefficients, and alpha 1 is more than 0 and less than alpha 2 and less than 1; the environmental impact coefficient HY is compared to an environmental impact threshold HYmax: if the environmental impact coefficient HY is less than or equal to the environmental impact threshold HYmax, judging that the batching environment meets the requirement, and sending an environment qualified signal to the precision control platform by the environment analysis unit; and if the environmental impact coefficient HY is greater than an environmental impact threshold HYmax, judging that the batching environment does not meet the requirements, and sending an unqualified environment 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 times of material proportioning processes of the same kind of materials, marking the processes as a process i, i =1, 2, …, n and n as positive integers, obtaining an error value of the process i and marking the error value as WZi, obtaining the material proportioning duration of the process i and marking the material proportioning duration as PSi, sorting the process i by the sequence of the error values from large 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 material proportioning duration of the qualified process as a maximum duration and a minimum duration respectively, marking a duration range formed by the maximum duration and the minimum duration as a standard range, detecting and analyzing the material proportioning duration of the subsequent material proportioning process by the standard range, 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 in the batching process through an environmental analysis unit, obtaining batching duration in 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 in the batching process through a formula PJ = gamma 1 × HY + gamma 1 × SQ, wherein the evaluation coefficient PJ is a numerical value which is subjected to side feedback on batching precision by combining external influence factors, and the lower the numerical value of the evaluation coefficient PJ is, the higher the batching precision is after the external influence factors are analyzed, and comparing the evaluation coefficient PJ with evaluation thresholds PJmin and PJmax: if the PJ is less than or equal to the PJmin, judging the batching grade in the batching process to be first grade; if PJmin is more than PJ and less than PJmax, judging the batching grade in the batching process to be second grade; if the PJ is larger than or equal to the PJmax, judging the batching grade in the batching process to be three-grade; and the comprehensive rating module sends the batching grade of the batching process to the precision control platform.
The utility model provides a concrete precision management and control system based on curve combination beam model, adopt batching supervisory module to monitor the precision of concrete batching process and manage and obtain the error value, adopt the environmental analysis unit to carry out influence analysis and obtain the environmental impact coefficient to the batching environment through environmental data, adopt time analysis unit to combine the error value to carry out detection and analysis and obtain the time length standard value to batching time, carry out further analysis and obtain the evaluation coefficient to environmental impact coefficient and time length standard value, carry out hierarchical judgement to the batching grade of batching process through the comparative result of evaluation coefficient and evaluation threshold value, thereby combine the batching grade to carry out primary detection to the batching precision of batching process.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: the formula HY = α 1 × WC + α 2 × SC; collecting multiple groups of sample data and setting corresponding environmental influence coefficients for each group of sample data by technicians in the field; substituting the set environmental influence coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1 and alpha 2 which are 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 environment influence coefficient preliminarily set by a person skilled in the art for each group of sample data; it is sufficient if the proportional relationship between the parameter and the quantized value is not affected, for example, the environmental influence coefficient is proportional to the value of the temperature difference value.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A concrete precision control system based on a curve combination beam model 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 analyzing the influence of the batching environment through environment data;
the time analysis unit is used for detecting and analyzing the batching time;
and the comprehensive rating module is used for analyzing and evaluating the precision grade of the batching process.
2. The concrete precision control system based on the curve combination beam model as claimed in claim 1, wherein 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.
3. The concrete precision management and control system based on the curve combination beam model as claimed in claim 2, wherein the concrete process of the ingredient supervision module for supervising the concrete ingredient precision comprises: recording the fall after starting the batching until no fall is recorded; obtaining a stable value of the ingredient, and marking the stable value as WD when the stable value exists; obtaining a formula value PF, marking the difference value between the formula value PF and the stable value WD as a target value MB, marking the absolute value of the difference value between the 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 less than or equal to the error threshold value, judging that the batching precision meets the requirement; and if the error value is larger than the error threshold value, judging that the burdening precision does not meet the requirement.
4. The concrete precision control system based on the curve combination beam model as claimed in claim 3, wherein the process of analyzing the influence of the ingredient environment by the environment analysis unit comprises: obtaining a material temperature value and an air temperature value of ingredients, marking the average value of the material temperature value and the air temperature value as a temperature level value WP, obtaining a standard temperature value, marking the absolute value of the difference value between the temperature level value and the standard temperature value as a temperature difference value WC, obtaining a material humidity value and an air humidity value of the ingredients, marking the average value of the material humidity value and the air humidity value as a humidity level value SP, obtaining a standard humidity value, marking the absolute value of the 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 = alpha 1 x WC + alpha 2 x SC, wherein alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than 0 and less than alpha 2 and less than 1; and comparing the environmental influence coefficient HY with an environmental influence threshold HYmax, and judging whether the environment in the batching process meets the requirement or not according to the comparison result of the environmental influence coefficient HY and the environmental influence threshold HYmax.
5. The concrete precision control system based on the curve combination beam model as claimed in claim 4, wherein the comparison process of the environmental impact coefficient HY and the environmental impact threshold HYmax comprises:
if the environmental impact coefficient HY is less than or equal to an environmental impact threshold HYmax, judging that the batching environment meets the requirement, and sending an environment qualified signal to the precision control platform by the environment analysis unit;
and if the environmental influence coefficient HY is greater than an environmental influence threshold HYmax, judging that the batching environment does not meet the requirements, and sending an environment unqualified signal to the precision control platform by the environment analysis unit.
6. The concrete precision control system based on the curve combination beam model as claimed in claim 4, wherein the time analysis unit is used for detecting and analyzing the batching time, and the concrete process of detecting and analyzing the batching time by the time analysis unit comprises: randomly selecting a plurality of times of material proportioning processes of the same kind of materials, marking the processes as a process i, i =1, 2, …, n and n as positive integers, obtaining an error value of the process i and marking the error value as WZi, obtaining the material proportioning time length of the process i and marking the material proportioning time length as PSi, sorting the process i by the sequence of the error values from large 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 material proportioning time length of the qualified process as a maximum time length and a minimum time length respectively, marking a time length range formed by the maximum time length and the minimum time length as a standard range, and marking the average value of the maximum time length and the minimum time length as a time length standard value.
7. The concrete precision control system based on the curve combination beam model as claimed in claim 6, wherein the process of analyzing and evaluating the precision grade of the batching process by the comprehensive rating module comprises: acquiring an environmental influence coefficient HY of the batching process and batching duration of the batching process through an environmental analysis unit, marking an absolute value of a difference value between the batching duration and a duration standard value as SQ, and acquiring an evaluation coefficient PJ of the batching process through a formula PJ = gamma 1 × HY + gamma 1 × SQ, wherein gamma 1 and gamma 2 are proportional coefficients, and gamma 1 is more than gamma 2 and more than 1; and comparing the evaluation coefficient PJ with the evaluation threshold values PJmin and PJmax, judging the batching grade of the batching process according to the comparison result of the evaluation coefficient PJ with the evaluation threshold values PJmin and PJmax, and sending the batching grade of the batching process to the precision control platform by the comprehensive rating module.
8. The concrete precision control system based on the curve combination beam model as claimed in claim 7, wherein the comparison process of the evaluation coefficient PJ and the evaluation threshold values PJmin, PJmax comprises:
if the PJ is less than or equal to the PJmin, judging the batching grade in the batching process to be first grade;
if PJmin is more than PJ and less than PJmax, judging the batching grade in the batching process to be second grade;
and if the PJ is larger than or equal to the PJmax, judging the batching grade in the batching process to be three-grade.
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| CN117311297A (en) * | 2023-11-29 | 2023-12-29 | 深圳市磐锋精密技术有限公司 | Remote monitoring management method for opening and closing hopper |
| CN117518061A (en) * | 2024-01-04 | 2024-02-06 | 山东大学 | Electric measuring instrument detection data inspection system and method |
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