CN116308217A - Concrete monitoring platform management method and system based on Internet of things - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to a concrete monitoring platform management method and system based on the Internet of things. Constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table; and determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode. By the method, abnormal data can be effectively removed, so that the reliability of the data displayed by the monitoring platform is improved, and workers can grasp the building temperature parameters of concrete more accurately.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a concrete monitoring platform management method and system based on the Internet of things.
Background
Port engineering often involves the pouring of bulky concrete, utilizes control by temperature change monitoring equipment (such as wireless sensor) to monitor the concrete temperature data of pouring in-process in the work progress generally, and the data butt joint between control by temperature change monitoring equipment and the monitor platform is realized to the rethread wireless transmission technique to the data that control by temperature change monitoring equipment gathered is in the system of this monitor platform. Meanwhile, through visual development of the data of the monitoring platform, the monitoring data of the temperature control monitoring equipment can be displayed in real time in a project intelligent large screen of the monitoring platform and displayed in a chart form. The reasonable adjustment of concrete curing is realized by displaying the temperature parameters of the concrete in the platform in real time during pouring, so that the quality of a finished product of concrete pouring is ensured. However, the reliability of the data obtained by the monitoring platform is low at present, abnormal data caused by factors such as transmission problems, equipment problems and the like cannot be screened out, and the reliability of the data displayed by the monitoring platform is low; and the pouring working condition cannot be further analyzed by the monitoring platform according to the acquired parameters, so that the intelligent degree of the monitoring platform is low.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a concrete monitoring platform management method and system based on the Internet of things.
The technical scheme adopted by the invention for achieving the purpose is as follows:
the invention discloses a concrete monitoring platform management method based on the Internet of things, which specifically comprises the following steps:
constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table;
acquiring transmission signals of each wireless sensor, analyzing the transmission signals of each wireless sensor to obtain abnormal data, replacing the abnormal data to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode;
constructing a temperature distribution diagram of the concrete based on the final parameter table, and carrying out characteristic extraction processing on the temperature distribution diagram to obtain a real-time temperature control diagram of the concrete;
and determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode.
Preferably, in a preferred embodiment of the present invention, a parameter table is constructed, real-time parameter data of a wireless sensor at a preset position is collected at a preset time node, the real-time parameter data is filled into the parameter table according to a preset arrangement mode, and a filled parameter table is obtained, specifically:
constructing a parameter table, dividing the parameter table into dry data filling areas, and respectively associating a plurality of data filling areas with a plurality of wireless sensors to generate association text information;
collecting real-time parameter data of the wireless sensor at a preset position at a preset time node, and filling the real-time parameter data of the wireless sensor at the preset position into a preset data filling area of the parameter table based on the relevance text information;
and after the real-time parameter data of the wireless sensors at all preset positions are acquired, acquiring a filled parameter table.
Preferably, in a preferred embodiment of the present invention, transmission signals of each wireless sensor are obtained, the transmission signals of each wireless sensor are analyzed to obtain abnormal data, the abnormal data are replaced to obtain a final parameter table, and the final parameter table is output to a monitoring platform, so that the final parameter table is displayed on the monitoring platform according to a preset mode, specifically:
Acquiring transmission signals of all wireless sensors, and judging whether all real-time parameter data in the filled parameter table are abnormal data or not based on the transmission signals;
if the abnormal data are abnormal data, acquiring a wireless sensor corresponding to the abnormal data, marking the wireless sensor corresponding to the abnormal data as a fault sensor, and outputting the fault sensor;
acquiring a monitoring area where the fault sensor is located, acquiring position information of other wireless sensors in the monitoring area, and calculating distance values between the other wireless sensors and the fault sensor to obtain a plurality of distance values;
constructing a sequence table, importing a plurality of distance values into the sequence table to perform size sorting, acquiring a minimum distance value from the sequence table after sorting is completed, and acquiring real-time parameter data of a wireless sensor corresponding to the minimum distance value;
and replacing the abnormal data based on the real-time parameter data of the wireless sensor corresponding to the minimum distance value to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode.
Preferably, in a preferred embodiment of the present invention, a transmission signal of each wireless sensor is obtained, and based on the transmission signal, whether each real-time parameter data in the filled parameter table is abnormal data is determined, specifically:
acquiring a transmission signal transmitted by a wireless sensor through a data receiver in a monitoring platform, and judging whether the data receiver in the monitoring platform can receive the transmission signal transmitted by the wireless sensor or not within preset time;
if the data receiver can not receive the transmission signal transmitted by the wireless sensor within the preset time, judging the real-time parameter data transmitted by the wireless sensor as abnormal data;
if the data receiver can receive the transmission signal transmitted by the wireless sensor within the preset time, acquiring the signal cut-off frequency of the transmission signal within the preset time, and comparing the signal cut-off frequency with the preset cut-off frequency;
if the signal cut-off frequency is larger than the preset cut-off frequency, the real-time parameter data sent by the wireless sensor are judged to be abnormal data.
Preferably, in a preferred embodiment of the present invention, a temperature distribution diagram of the concrete is constructed based on the final parameter table, and the temperature distribution diagram is subjected to feature extraction processing to obtain a real-time temperature control diagram of the concrete, which specifically includes:
Constructing a temperature distribution diagram of concrete based on the final parameter table, and extracting contours of the temperature distribution diagram based on a Sobel operator algorithm to obtain contour boundary lines among color layers in the temperature distribution diagram;
establishing a vector decomposition model, and introducing the contour boundary line into the vector decomposition model to obtain an orthogonal matrix and a diagonal matrix; selecting any limit vector from the orthogonal matrix and the diagonal matrix, taking the limit vector as a coordinate origin, and constructing a three-dimensional coordinate system by using the coordinate origin;
importing the orthogonal matrix and the diagonal matrix into the three-dimensional coordinate system, acquiring coordinate values corresponding to each limit vector in the orthogonal matrix and the diagonal matrix, and generating point cloud data of each limit vector based on the coordinate values;
and reconstructing the point cloud data through a global matching algorithm, generating a processed contour boundary line, and combining the processed contour boundary line to obtain a real-time temperature control map of the concrete.
Preferably, in a preferred embodiment of the present invention, whether an abnormal working condition occurs is determined based on the real-time temperature control chart of the concrete, and if the abnormal working condition occurs, the abnormal working condition is output to a monitoring platform, so that the abnormal working condition is displayed on the monitoring platform according to a preset manner, specifically:
Acquiring an abnormal temperature control diagram corresponding to various abnormal working conditions of concrete in pouring through a big data network, and dividing the abnormal temperature control diagram into a training set and a testing set;
constructing a pairing model based on a deep learning network, importing the training set into the pairing model, performing reverse training on data in the training set through a loss function, and storing training data in the pairing model after the error converges to a preset value;
testing training data of the pairing model through a test set, and taking the training data as final parameters of the pairing model after the training data meet preset requirements to obtain a trained pairing model;
importing the real-time temperature control map of the concrete into the trained pairing model, and pairing the real-time temperature control map with the abnormal temperature control map through grey correlation analysis to obtain pairing rate;
and comparing the pairing ratio with a preset pairing ratio, and if the pairing ratio is larger than the preset pairing ratio, outputting an abnormal working condition corresponding to the abnormal temperature control diagram to a monitoring platform so that the abnormal working condition is displayed on the monitoring platform in a preset mode.
The invention discloses a concrete monitoring platform management system based on the Internet of things, which comprises a memory and a processor, wherein a concrete monitoring platform management method program is stored in the memory, and when the concrete monitoring platform management method program is executed by the processor, the following steps are realized:
Constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table;
acquiring transmission signals of each wireless sensor, analyzing the transmission signals of each wireless sensor to obtain abnormal data, replacing the abnormal data to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode;
constructing a temperature distribution diagram of the concrete based on the final parameter table, and carrying out characteristic extraction processing on the temperature distribution diagram to obtain a real-time temperature control diagram of the concrete;
and determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode.
Preferably, in a preferred embodiment of the present invention, transmission signals of each wireless sensor are obtained, the transmission signals of each wireless sensor are analyzed to obtain abnormal data, the abnormal data are replaced to obtain a final parameter table, and the final parameter table is output to a monitoring platform, so that the final parameter table is displayed on the monitoring platform according to a preset mode, specifically:
Acquiring transmission signals of all wireless sensors, and judging whether all real-time parameter data in the filled parameter table are abnormal data or not based on the transmission signals;
if the abnormal data are abnormal data, acquiring a wireless sensor corresponding to the abnormal data, marking the wireless sensor corresponding to the abnormal data as a fault sensor, and outputting the fault sensor;
acquiring a monitoring area where the fault sensor is located, acquiring position information of other wireless sensors in the monitoring area, and calculating distance values between the other wireless sensors and the fault sensor to obtain a plurality of distance values;
constructing a sequence table, importing a plurality of distance values into the sequence table to perform size sorting, acquiring a minimum distance value from the sequence table after sorting is completed, and acquiring real-time parameter data of a wireless sensor corresponding to the minimum distance value;
and replacing the abnormal data based on the real-time parameter data of the wireless sensor corresponding to the minimum distance value to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode.
Preferably, in a preferred embodiment of the present invention, a temperature distribution diagram of the concrete is constructed based on the final parameter table, and the temperature distribution diagram is subjected to feature extraction processing to obtain a real-time temperature control diagram of the concrete, which specifically includes:
constructing a temperature distribution diagram of concrete based on the final parameter table, and extracting contours of the temperature distribution diagram based on a Sobel operator algorithm to obtain contour boundary lines among color layers in the temperature distribution diagram;
establishing a vector decomposition model, and introducing the contour boundary line into the vector decomposition model to obtain an orthogonal matrix and a diagonal matrix; selecting any limit vector from the orthogonal matrix and the diagonal matrix, taking the limit vector as a coordinate origin, and constructing a three-dimensional coordinate system by using the coordinate origin;
importing the orthogonal matrix and the diagonal matrix into the three-dimensional coordinate system, acquiring coordinate values corresponding to each limit vector in the orthogonal matrix and the diagonal matrix, and generating point cloud data of each limit vector based on the coordinate values;
and reconstructing the point cloud data through a global matching algorithm, generating a processed contour boundary line, and combining the processed contour boundary line to obtain a real-time temperature control map of the concrete.
Preferably, in a preferred embodiment of the present invention, whether an abnormal working condition occurs is determined based on the real-time temperature control chart of the concrete, and if the abnormal working condition occurs, the abnormal working condition is output to a monitoring platform, so that the abnormal working condition is displayed on the monitoring platform according to a preset manner, specifically:
acquiring an abnormal temperature control diagram corresponding to various abnormal working conditions of concrete in pouring through a big data network, and dividing the abnormal temperature control diagram into a training set and a testing set;
constructing a pairing model based on a deep learning network, importing the training set into the pairing model, performing reverse training on data in the training set through a loss function, and storing training data in the pairing model after the error converges to a preset value;
testing training data of the pairing model through a test set, and taking the training data as final parameters of the pairing model after the training data meet preset requirements to obtain a trained pairing model;
importing the real-time temperature control map of the concrete into the trained pairing model, and pairing the real-time temperature control map with the abnormal temperature control map through grey correlation analysis to obtain pairing rate;
And comparing the pairing ratio with a preset pairing ratio, and if the pairing ratio is larger than the preset pairing ratio, outputting an abnormal working condition corresponding to the abnormal temperature control diagram to a monitoring platform so that the abnormal working condition is displayed on the monitoring platform in a preset mode.
The invention solves the technical defects existing in the background technology, and has the following beneficial effects: the method can effectively remove abnormal data, so that the reliability of the data displayed by the monitoring platform is improved, and workers can grasp the building temperature parameters of the concrete more accurately; the abnormal working condition can be displayed on the monitoring platform according to the preset mode by the method, so that a worker can find the abnormal working condition in time to make corresponding measures, reasonable adjustment in the concrete pouring process is realized, the quality of a concrete pouring finished product is ensured, and the intelligent degree of the monitoring platform is further improved.
Drawings
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 embodiments of the drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a first method flow chart of a concrete monitoring platform management method based on the Internet of things;
FIG. 2 is a second method flow chart of a concrete monitoring platform management method based on the Internet of things;
FIG. 3 is a third method flow chart of a concrete monitoring platform management method based on the Internet of things;
fig. 4 is a system block diagram of a concrete monitoring platform management system based on the internet of things.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
FIG. 1 shows a first method flow diagram of a concrete monitoring platform management method based on the Internet of things;
the invention discloses a concrete monitoring platform management method based on the Internet of things, which specifically comprises the following steps:
S102: constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table;
s104: acquiring transmission signals of each wireless sensor, analyzing the transmission signals of each wireless sensor to obtain abnormal data, replacing the abnormal data to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode;
s106: constructing a temperature distribution diagram of the concrete based on the final parameter table, and carrying out characteristic extraction processing on the temperature distribution diagram to obtain a real-time temperature control diagram of the concrete;
s108: and determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode.
It should be noted that, the information management of the internet of things is an important component of the intelligent construction site. Through the intelligent monitoring hardware distributed at each monitoring point of the construction site, the working area and the living area, the manager can visually check and control the real-time condition of the construction site at the platform Web end. The intelligent large screen can check the detailed report of various data, and the current construction condition can be checked more intuitively through various charts. The platform provides a way to jump to the mass concrete website, and a user can jump to the mass concrete website by clicking the mass concrete of the menu bar and input an account number and a password to enter the website.
In a preferred embodiment of the present invention, a parameter table is constructed, real-time parameter data of a wireless sensor at a preset position is collected at a preset time node, the real-time parameter data is filled into the parameter table according to a preset arrangement mode, and a filled parameter table is obtained, specifically:
constructing a parameter table, dividing the parameter table into dry data filling areas, and respectively associating a plurality of data filling areas with a plurality of wireless sensors to generate association text information;
collecting real-time parameter data of the wireless sensor at a preset position at a preset time node, and filling the real-time parameter data of the wireless sensor at the preset position into a preset data filling area of the parameter table based on the relevance text information;
and after the real-time parameter data of the wireless sensors at all preset positions are acquired, acquiring a filled parameter table.
It should be noted that the wireless sensor is temperature sensor, and wireless sensor is a plurality of, and wireless sensor draws and installs on a plurality of preset positions of concrete placement region, can gather concrete placement temperature information in real time through wireless sensor to wireless sensor is connected with this monitor platform communication. The method can map the real-time parameter data of the wireless sensor at the preset position to the parameter table of the monitoring platform, thereby realizing the visual development of the concrete temperature pouring parameters, displaying the concrete temperature pouring parameters in a chart form and realizing the real-time display of the monitoring data of the wireless sensor in a project intelligent large screen of the monitoring platform.
In a preferred embodiment of the present invention, transmission signals of each wireless sensor are obtained, the transmission signals of each wireless sensor are analyzed to obtain abnormal data, the abnormal data are replaced to obtain a final parameter table, and the final parameter table is output to a monitoring platform, so that the final parameter table is displayed on the monitoring platform according to a preset mode, specifically:
acquiring transmission signals of all wireless sensors, and judging whether all real-time parameter data in the filled parameter table are abnormal data or not based on the transmission signals;
if the abnormal data are abnormal data, acquiring a wireless sensor corresponding to the abnormal data, marking the wireless sensor corresponding to the abnormal data as a fault sensor, and outputting the fault sensor;
acquiring a monitoring area where the fault sensor is located, acquiring position information of other wireless sensors in the monitoring area, and calculating distance values between the other wireless sensors and the fault sensor to obtain a plurality of distance values;
constructing a sequence table, importing a plurality of distance values into the sequence table to perform size sorting, acquiring a minimum distance value from the sequence table after sorting is completed, and acquiring real-time parameter data of a wireless sensor corresponding to the minimum distance value;
And replacing the abnormal data based on the real-time parameter data of the wireless sensor corresponding to the minimum distance value to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode.
It should be noted that, in the working process of the wireless sensor, the wireless sensor may generate monitoring faults and signal transmission faults, so that abnormal conditions exist in the data collected by the monitoring platform, for example, the data signals obtained by the monitoring platform are intermittent conditions, and the data signals are distorted or lost. Because a plurality of wireless sensors are generally arranged in the pouring area, abnormal data can be effectively removed through the method, so that the reliability of the data displayed by the monitoring platform is improved, workers can more accurately master the building temperature parameters of concrete, reasonable adjustment of concrete curing is realized, and the quality of finished products of concrete pouring is ensured.
FIG. 2 shows a second method flow diagram of a concrete monitoring platform management method based on the Internet of things;
in a preferred embodiment of the present invention, a transmission signal of each wireless sensor is obtained, and based on the transmission signal, whether each real-time parameter data in the filled parameter table is abnormal data is determined, specifically:
S202: acquiring a transmission signal transmitted by a wireless sensor through a data receiver in a monitoring platform, and judging whether the data receiver in the monitoring platform can receive the transmission signal transmitted by the wireless sensor or not within preset time;
s204: if the data receiver can not receive the transmission signal transmitted by the wireless sensor within the preset time, judging the real-time parameter data transmitted by the wireless sensor as abnormal data;
s206: if the data receiver can receive the transmission signal transmitted by the wireless sensor within the preset time, acquiring the signal cut-off frequency of the transmission signal within the preset time, and comparing the signal cut-off frequency with the preset cut-off frequency;
s208: if the signal cut-off frequency is larger than the preset cut-off frequency, the real-time parameter data sent by the wireless sensor are judged to be abnormal data.
It should be noted that, in the working process of the wireless sensor, if the wireless sensor fails, one is that the transmission signal of the wireless sensor cannot be received within a preset time; the other is that the wireless sensor transmission signal can be received intermittently, and the conditions all indicate that the wireless sensor has signal faults. By the method, whether the data transmitted by the wireless sensor are abnormal data can be rapidly judged.
FIG. 3 shows a third method flow diagram of a concrete monitoring platform management method based on the Internet of things;
in a preferred embodiment of the present invention, a temperature distribution diagram of the concrete is constructed based on the final parameter table, and the temperature distribution diagram is subjected to feature extraction processing to obtain a real-time temperature control diagram of the concrete, which specifically comprises:
s302: constructing a temperature distribution diagram of concrete based on the final parameter table, and extracting contours of the temperature distribution diagram based on a Sobel operator algorithm to obtain contour boundary lines among color layers in the temperature distribution diagram;
s304: establishing a vector decomposition model, and introducing the contour boundary line into the vector decomposition model to obtain an orthogonal matrix and a diagonal matrix; selecting any limit vector from the orthogonal matrix and the diagonal matrix, taking the limit vector as a coordinate origin, and constructing a three-dimensional coordinate system by using the coordinate origin;
s306: importing the orthogonal matrix and the diagonal matrix into the three-dimensional coordinate system, acquiring coordinate values corresponding to each limit vector in the orthogonal matrix and the diagonal matrix, and generating point cloud data of each limit vector based on the coordinate values;
S308: and reconstructing the point cloud data through a global matching algorithm, generating a processed contour boundary line, and combining the processed contour boundary line to obtain a real-time temperature control map of the concrete.
After the real-time parameter data in the final parameter table are determined, a processor on the monitoring platform can automatically generate a temperature distribution diagram of the concrete on a current time node, and the temperature distribution diagram is displayed in a project intelligent large screen in real time; in addition, the system can also generate a real-time temperature control chart according to the real-time temperature distribution chart so as to display the concrete pouring temperature distribution situation in a more simplified chart form, so that on one hand, the consulting difficulty of staff can be reduced, and on the other hand, whether the abnormal working condition of the concrete occurs in the pouring process can be further judged according to the real-time temperature control chart.
It should be noted that, because of the fuzzy transition between adjacent colors of the temperature distribution diagram, after the contour extraction is performed on the temperature distribution diagram by the sobel operator algorithm to obtain a contour boundary line, the contour boundary line has a certain degree of missing and distortion phenomena, so that the obtained contour boundary line has poor integrity, and the obtained contour boundary line has higher redundancy and ambiguity. The method can carry out the deficiency compensation correction on the contour boundary line extracted from the temperature distribution diagram, can reduce the redundancy and the ambiguity of the contour boundary line, and has higher accuracy and reliability of the obtained real-time temperature control diagram.
In a preferred embodiment of the present invention, whether an abnormal working condition occurs is determined based on the real-time temperature control chart of the concrete, and if the abnormal working condition occurs, the abnormal working condition is output to a monitoring platform, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode, specifically:
acquiring an abnormal temperature control diagram corresponding to various abnormal working conditions of concrete in pouring through a big data network, and dividing the abnormal temperature control diagram into a training set and a testing set;
constructing a pairing model based on a deep learning network, importing the training set into the pairing model, performing reverse training on data in the training set through a loss function, and storing training data in the pairing model after the error converges to a preset value;
testing training data of the pairing model through a test set, and taking the training data as final parameters of the pairing model after the training data meet preset requirements to obtain a trained pairing model;
importing the real-time temperature control map of the concrete into the trained pairing model, and pairing the real-time temperature control map with the abnormal temperature control map through grey correlation analysis to obtain pairing rate;
And comparing the pairing ratio with a preset pairing ratio, and if the pairing ratio is larger than the preset pairing ratio, outputting an abnormal working condition corresponding to the abnormal temperature control diagram to a monitoring platform so that the abnormal working condition is displayed on the monitoring platform in a preset mode.
When the concrete is poured, if abnormal working conditions such as crack and crack occur, the temperature of the crack and crack is suddenly changed due to the influence of crack heat dissipation in the pouring process, so that abnormal conditions occur in the temperature control diagram of the area, the abnormal temperature control diagram corresponding to the abnormal working conditions of the concrete in pouring can be obtained in advance in a big data network, then the real-time temperature control diagram is matched with the abnormal temperature control diagram to judge whether the abnormal working conditions occur in the pouring process of the concrete, if the abnormal working conditions occur, the corresponding abnormal working conditions are output to a monitoring platform, the abnormal working conditions are displayed on the monitoring platform according to a preset mode, and workers can timely find the abnormal working conditions to formulate corresponding measures to realize reasonable adjustment in the pouring process of the concrete, so that the quality of finished products of the concrete pouring is ensured, and the intelligent degree of the monitoring platform is further improved.
In addition, the concrete monitoring platform management method based on the Internet of things further comprises the following steps:
acquiring regional position information corresponding to the abnormal working condition, and acquiring acoustic wave characteristic information fed back by the regional position information; the sound wave characteristic information comprises the wavelength and the frequency of sound waves;
processing the acoustic characteristic information by using a linear interpolation method to obtain processed acoustic characteristic information, and performing numerical analysis on the processed acoustic characteristic information by using a finite element discrete method to obtain defect parameter information; the defect parameter information comprises the length of the defect, the depth of the defect, the width of the defect and the position of the defect;
constructing a simulated three-dimensional model diagram of the defect based on the defect parameter information, and carrying out finite element analysis on the simulated three-dimensional model diagram to obtain an internal stress value of the defect;
outputting the simulated three-dimensional model graph of the defect and the internal stress value of the defect to a monitoring platform, so that the simulated three-dimensional model graph of the defect and the internal stress value of the defect are displayed on the monitoring platform in a preset mode.
In the concrete pouring process, if an abnormal working condition occurs, controlling an unmanned detector to detect the position of a region corresponding to the abnormal working condition through an ultrasonic flaw detector, thereby obtaining acoustic characteristic information fed back by the region position information, and further obtaining defect parameter information, wherein the defects are cracks and cracks, then constructing a simulated three-dimensional model diagram of the defects through three-dimensional software such as SolidWorks, UG, PROE, and performing stress simulation analysis on the simulated three-dimensional model diagram of the defects through the three-dimensional software, thereby obtaining the internal stress value of the defects, and then displaying the simulated three-dimensional model diagram of the defects and the internal stress value of the defects on a project intelligent large screen of a monitoring platform, so that a worker can intuitively observe the actual condition of the abnormal working condition.
In addition, the concrete monitoring platform management method based on the Internet of things further comprises the following steps:
the method comprises the steps of obtaining casting parameter ranges of sub-equipment corresponding to various casting defects of concrete during casting through a big data network, constructing a database, and importing the casting parameter ranges of the sub-equipment into the database to obtain a characteristic database;
importing the simulated three-dimensional model graph of the defect into the characteristic database to obtain a preset pouring parameter range of each piece of sub-equipment;
acquiring real-time pouring parameters of each piece of sub-equipment, and judging whether the real-time pouring parameters of each piece of sub-equipment are within a preset pouring parameter range;
if the sub-equipment is located, enabling the sub-equipment to continuously work according to the real-time pouring parameters, if the sub-equipment is not located, selecting the largest pouring parameter in the preset pouring parameter range as the pouring parameter, and replacing the real-time pouring parameter of the sub-equipment with the largest pouring parameter.
In the concrete pouring process, pouring parameters of all the sub-equipment have certain influence on crack and fissure, such as the pre-mixing speed of the pre-mixing equipment, the pressure parameters of the compacting equipment and the like. According to the method, parameters of each sub pouring device can be adjusted in real time according to the pouring working conditions, further expansion and extension of crack and crack can be effectively avoided, the pouring quality of concrete is improved, the control of the Internet of things is realized, and the intelligent degree is improved.
FIG. 4 shows a system block diagram of a concrete monitoring platform management system based on the Internet of things;
the invention discloses a concrete monitoring platform management system based on the Internet of things in a second aspect, the management system comprises a memory 32 and a processor 42, a concrete monitoring platform management method program is stored in the memory 32, and when the concrete monitoring platform management method program is executed by the processor 42, the following steps are realized:
constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table;
acquiring transmission signals of each wireless sensor, analyzing the transmission signals of each wireless sensor to obtain abnormal data, replacing the abnormal data to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode;
constructing a temperature distribution diagram of the concrete based on the final parameter table, and carrying out characteristic extraction processing on the temperature distribution diagram to obtain a real-time temperature control diagram of the concrete;
And determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode.
Preferably, in a preferred embodiment of the present invention, transmission signals of each wireless sensor are obtained, the transmission signals of each wireless sensor are analyzed to obtain abnormal data, the abnormal data are replaced to obtain a final parameter table, and the final parameter table is output to a monitoring platform, so that the final parameter table is displayed on the monitoring platform according to a preset mode, specifically:
acquiring transmission signals of all wireless sensors, and judging whether all real-time parameter data in the filled parameter table are abnormal data or not based on the transmission signals;
if the abnormal data are abnormal data, acquiring a wireless sensor corresponding to the abnormal data, marking the wireless sensor corresponding to the abnormal data as a fault sensor, and outputting the fault sensor;
acquiring a monitoring area where the fault sensor is located, acquiring position information of other wireless sensors in the monitoring area, and calculating distance values between the other wireless sensors and the fault sensor to obtain a plurality of distance values;
Constructing a sequence table, importing a plurality of distance values into the sequence table to perform size sorting, acquiring a minimum distance value from the sequence table after sorting is completed, and acquiring real-time parameter data of a wireless sensor corresponding to the minimum distance value;
and replacing the abnormal data based on the real-time parameter data of the wireless sensor corresponding to the minimum distance value to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode.
Preferably, in a preferred embodiment of the present invention, a temperature distribution diagram of the concrete is constructed based on the final parameter table, and the temperature distribution diagram is subjected to feature extraction processing to obtain a real-time temperature control diagram of the concrete, which specifically includes:
constructing a temperature distribution diagram of concrete based on the final parameter table, and extracting contours of the temperature distribution diagram based on a Sobel operator algorithm to obtain contour boundary lines among color layers in the temperature distribution diagram;
establishing a vector decomposition model, and introducing the contour boundary line into the vector decomposition model to obtain an orthogonal matrix and a diagonal matrix; selecting any limit vector from the orthogonal matrix and the diagonal matrix, taking the limit vector as a coordinate origin, and constructing a three-dimensional coordinate system by using the coordinate origin;
Importing the orthogonal matrix and the diagonal matrix into the three-dimensional coordinate system, acquiring coordinate values corresponding to each limit vector in the orthogonal matrix and the diagonal matrix, and generating point cloud data of each limit vector based on the coordinate values;
and reconstructing the point cloud data through a global matching algorithm, generating a processed contour boundary line, and combining the processed contour boundary line to obtain a real-time temperature control map of the concrete.
Preferably, in a preferred embodiment of the present invention, whether an abnormal working condition occurs is determined based on the real-time temperature control chart of the concrete, and if the abnormal working condition occurs, the abnormal working condition is output to a monitoring platform, so that the abnormal working condition is displayed on the monitoring platform according to a preset manner, specifically:
acquiring an abnormal temperature control diagram corresponding to various abnormal working conditions of concrete in pouring through a big data network, and dividing the abnormal temperature control diagram into a training set and a testing set;
constructing a pairing model based on a deep learning network, importing the training set into the pairing model, performing reverse training on data in the training set through a loss function, and storing training data in the pairing model after the error converges to a preset value;
Testing training data of the pairing model through a test set, and taking the training data as final parameters of the pairing model after the training data meet preset requirements to obtain a trained pairing model;
importing the real-time temperature control map of the concrete into the trained pairing model, and pairing the real-time temperature control map with the abnormal temperature control map through grey correlation analysis to obtain pairing rate;
and comparing the pairing ratio with a preset pairing ratio, and if the pairing ratio is larger than the preset pairing ratio, outputting an abnormal working condition corresponding to the abnormal temperature control diagram to a monitoring platform so that the abnormal working condition is displayed on the monitoring platform in a preset mode.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
The foregoing is merely illustrative embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the technical scope of the present invention, and the invention should be covered. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The concrete monitoring platform management method based on the Internet of things is characterized by comprising the following steps of:
constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table;
acquiring transmission signals of each wireless sensor, analyzing the transmission signals of each wireless sensor to obtain abnormal data, replacing the abnormal data to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode;
constructing a temperature distribution diagram of the concrete based on the final parameter table, and carrying out characteristic extraction processing on the temperature distribution diagram to obtain a real-time temperature control diagram of the concrete;
and determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode.
2. The method for managing the concrete monitoring platform based on the internet of things according to claim 1, wherein a parameter table is constructed, real-time parameter data of the wireless sensor at a preset position is collected at a preset time node, the real-time parameter data is filled into the parameter table according to a preset arrangement mode, and the filled parameter table is obtained specifically as follows:
Constructing a parameter table, dividing the parameter table into dry data filling areas, and respectively associating a plurality of data filling areas with a plurality of wireless sensors to generate association text information;
collecting real-time parameter data of the wireless sensor at a preset position at a preset time node, and filling the real-time parameter data of the wireless sensor at the preset position into a preset data filling area of the parameter table based on the relevance text information;
and after the real-time parameter data of the wireless sensors at all preset positions are acquired, acquiring a filled parameter table.
3. The method for managing a concrete monitoring platform based on the internet of things according to claim 1, wherein the method is characterized in that transmission signals of all wireless sensors are obtained, the transmission signals of all wireless sensors are analyzed to obtain abnormal data, the abnormal data are replaced to obtain a final parameter table, and the final parameter table is output to the monitoring platform, so that the final parameter table is displayed on the monitoring platform in a preset mode, specifically:
acquiring transmission signals of all wireless sensors, and judging whether all real-time parameter data in the filled parameter table are abnormal data or not based on the transmission signals;
If the abnormal data are abnormal data, acquiring a wireless sensor corresponding to the abnormal data, marking the wireless sensor corresponding to the abnormal data as a fault sensor, and outputting the fault sensor;
acquiring a monitoring area where the fault sensor is located, acquiring position information of other wireless sensors in the monitoring area, and calculating distance values between the other wireless sensors and the fault sensor to obtain a plurality of distance values;
constructing a sequence table, importing a plurality of distance values into the sequence table to perform size sorting, acquiring a minimum distance value from the sequence table after sorting is completed, and acquiring real-time parameter data of a wireless sensor corresponding to the minimum distance value;
and replacing the abnormal data based on the real-time parameter data of the wireless sensor corresponding to the minimum distance value to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode.
4. The method for managing a concrete monitoring platform based on the internet of things according to claim 3, wherein the method is characterized in that the transmission signals of the wireless sensors are obtained, and whether the real-time parameter data in the filled parameter table is abnormal data is judged based on the transmission signals, specifically:
Acquiring a transmission signal transmitted by a wireless sensor through a data receiver in a monitoring platform, and judging whether the data receiver in the monitoring platform can receive the transmission signal transmitted by the wireless sensor or not within preset time;
if the data receiver can not receive the transmission signal transmitted by the wireless sensor within the preset time, judging the real-time parameter data transmitted by the wireless sensor as abnormal data;
if the data receiver can receive the transmission signal transmitted by the wireless sensor within the preset time, acquiring the signal cut-off frequency of the transmission signal within the preset time, and comparing the signal cut-off frequency with the preset cut-off frequency;
if the signal cut-off frequency is larger than the preset cut-off frequency, the real-time parameter data sent by the wireless sensor are judged to be abnormal data.
5. The method for managing the concrete monitoring platform based on the Internet of things according to claim 1, wherein a temperature distribution diagram of the concrete is constructed based on the final parameter table, and the temperature distribution diagram is subjected to feature extraction processing to obtain a real-time temperature control diagram of the concrete, specifically comprising the following steps:
constructing a temperature distribution diagram of concrete based on the final parameter table, and extracting contours of the temperature distribution diagram based on a Sobel operator algorithm to obtain contour boundary lines among color layers in the temperature distribution diagram;
Establishing a vector decomposition model, and introducing the contour boundary line into the vector decomposition model to obtain an orthogonal matrix and a diagonal matrix; selecting any limit vector from the orthogonal matrix and the diagonal matrix, taking the limit vector as a coordinate origin, and constructing a three-dimensional coordinate system by using the coordinate origin;
importing the orthogonal matrix and the diagonal matrix into the three-dimensional coordinate system, acquiring coordinate values corresponding to each limit vector in the orthogonal matrix and the diagonal matrix, and generating point cloud data of each limit vector based on the coordinate values;
and reconstructing the point cloud data through a global matching algorithm, generating a processed contour boundary line, and combining the processed contour boundary line to obtain a real-time temperature control map of the concrete.
6. The method for managing the concrete monitoring platform based on the internet of things according to claim 1, wherein whether an abnormal working condition occurs is determined based on a real-time temperature control diagram of the concrete, if the abnormal working condition occurs, the abnormal working condition is output to the monitoring platform, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode, specifically:
acquiring an abnormal temperature control diagram corresponding to various abnormal working conditions of concrete in pouring through a big data network, and dividing the abnormal temperature control diagram into a training set and a testing set;
Constructing a pairing model based on a deep learning network, importing the training set into the pairing model, performing reverse training on data in the training set through a loss function, and storing training data in the pairing model after the error converges to a preset value;
testing training data of the pairing model through a test set, and taking the training data as final parameters of the pairing model after the training data meet preset requirements to obtain a trained pairing model;
importing the real-time temperature control map of the concrete into the trained pairing model, and pairing the real-time temperature control map with the abnormal temperature control map through grey correlation analysis to obtain pairing rate;
and comparing the pairing ratio with a preset pairing ratio, and if the pairing ratio is larger than the preset pairing ratio, outputting an abnormal working condition corresponding to the abnormal temperature control diagram to a monitoring platform so that the abnormal working condition is displayed on the monitoring platform in a preset mode.
7. The concrete monitoring platform management system based on the Internet of things is characterized by comprising a memory and a processor, wherein a concrete monitoring platform management method program is stored in the memory, and when the concrete monitoring platform management method program is executed by the processor, the following steps are realized:
Constructing a parameter table, collecting real-time parameter data of a wireless sensor at a preset position at a preset time node, and filling the real-time parameter data into the parameter table according to a preset arrangement mode to obtain a filled parameter table;
acquiring transmission signals of each wireless sensor, analyzing the transmission signals of each wireless sensor to obtain abnormal data, replacing the abnormal data to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode;
constructing a temperature distribution diagram of the concrete based on the final parameter table, and carrying out characteristic extraction processing on the temperature distribution diagram to obtain a real-time temperature control diagram of the concrete;
and determining whether an abnormal working condition occurs based on the real-time temperature control diagram of the concrete, and outputting the abnormal working condition to a monitoring platform if the abnormal working condition occurs, so that the abnormal working condition is displayed on the monitoring platform according to a preset mode.
8. The concrete monitoring platform management system based on the internet of things according to claim 7, wherein the transmission signals of the wireless sensors are obtained, the transmission signals of the wireless sensors are analyzed to obtain abnormal data, the abnormal data are replaced to obtain a final parameter table, and the final parameter table is output to the monitoring platform, so that the final parameter table is displayed on the monitoring platform in a preset mode, specifically:
Acquiring transmission signals of all wireless sensors, and judging whether all real-time parameter data in the filled parameter table are abnormal data or not based on the transmission signals;
if the abnormal data are abnormal data, acquiring a wireless sensor corresponding to the abnormal data, marking the wireless sensor corresponding to the abnormal data as a fault sensor, and outputting the fault sensor;
acquiring a monitoring area where the fault sensor is located, acquiring position information of other wireless sensors in the monitoring area, and calculating distance values between the other wireless sensors and the fault sensor to obtain a plurality of distance values;
constructing a sequence table, importing a plurality of distance values into the sequence table to perform size sorting, acquiring a minimum distance value from the sequence table after sorting is completed, and acquiring real-time parameter data of a wireless sensor corresponding to the minimum distance value;
and replacing the abnormal data based on the real-time parameter data of the wireless sensor corresponding to the minimum distance value to obtain a final parameter table, and outputting the final parameter table to a monitoring platform so that the final parameter table is displayed on the monitoring platform in a preset mode.
9. The internet of things-based concrete monitoring platform management system according to claim 7, wherein a temperature distribution diagram of concrete is constructed based on the final parameter table, and the temperature distribution diagram is subjected to feature extraction processing to obtain a real-time temperature control diagram of the concrete, and the concrete temperature control diagram specifically comprises:
constructing a temperature distribution diagram of concrete based on the final parameter table, and extracting contours of the temperature distribution diagram based on a Sobel operator algorithm to obtain contour boundary lines among color layers in the temperature distribution diagram;
establishing a vector decomposition model, and introducing the contour boundary line into the vector decomposition model to obtain an orthogonal matrix and a diagonal matrix; selecting any limit vector from the orthogonal matrix and the diagonal matrix, taking the limit vector as a coordinate origin, and constructing a three-dimensional coordinate system by using the coordinate origin;
importing the orthogonal matrix and the diagonal matrix into the three-dimensional coordinate system, acquiring coordinate values corresponding to each limit vector in the orthogonal matrix and the diagonal matrix, and generating point cloud data of each limit vector based on the coordinate values;
and reconstructing the point cloud data through a global matching algorithm, generating a processed contour boundary line, and combining the processed contour boundary line to obtain a real-time temperature control map of the concrete.
10. The internet of things-based concrete monitoring platform management system according to claim 7, wherein whether an abnormal working condition occurs is determined based on the real-time temperature control diagram of the concrete, and if the abnormal working condition occurs, the abnormal working condition is output to the monitoring platform, so that the abnormal working condition is displayed on the monitoring platform in a preset manner, specifically:
acquiring an abnormal temperature control diagram corresponding to various abnormal working conditions of concrete in pouring through a big data network, and dividing the abnormal temperature control diagram into a training set and a testing set;
constructing a pairing model based on a deep learning network, importing the training set into the pairing model, performing reverse training on data in the training set through a loss function, and storing training data in the pairing model after the error converges to a preset value;
testing training data of the pairing model through a test set, and taking the training data as final parameters of the pairing model after the training data meet preset requirements to obtain a trained pairing model;
importing the real-time temperature control map of the concrete into the trained pairing model, and pairing the real-time temperature control map with the abnormal temperature control map through grey correlation analysis to obtain pairing rate;
And comparing the pairing ratio with a preset pairing ratio, and if the pairing ratio is larger than the preset pairing ratio, outputting an abnormal working condition corresponding to the abnormal temperature control diagram to a monitoring platform so that the abnormal working condition is displayed on the monitoring platform in a preset mode.
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