An intelligent construction control and management system based on the Internet of Things

Abstract

The present invention discloses an intelligent construction control and management system based on the Internet of Things, which belongs to the field of construction technology and includes a data acquisition module, a data processing module, a construction analysis module and a control and management module. The present invention solves the problem that in the existing construction process, operators are required to supervise and regularly control the construction process from foundation, base, structural column, beam, floor slab, and filling wall, which has high labor intensity, low intelligence, and cannot timely discover construction abnormalities, resulting in poor construction control and management effects. The present invention is based on construction state characterization data, performs construction analysis on the construction state characterization data, formulates an intelligent construction control and management method, and performs intelligent control and management on the construction process from foundation, base, structural column, beam, floor slab, and filling wall, which can reduce the work intensity of operators, improve the construction intelligence, and can timely discover construction abnormalities and timely control, so that the construction control and management effect is good.

Description

Technical Field

[0001] The present invention relates to the field of construction technology, and in particular to an intelligent construction control and management system based on the Internet of Things. Background Art

[0002] With the rapid development of computer technology and communication electronic technology, the high-tech evolution of urban public infrastructure has been accelerated. Coupled with the increasing requirements of modern people for living and working environment, intelligent building systems have emerged. Intelligent building systems are an important symbol of the comprehensive embodiment of the modernization of science and technology and economic level in cities or regions. They are the perfect integration of modern high technology and architecture, and the organic integration of multidisciplinary and high-tech.

[0003] The Chinese patent with publication number CN106774197A discloses an intelligent building management system based on the Internet of Things, which belongs to the field of construction and includes an intelligent water pump system, an intelligent fan system, a building equipment control system and a fire safety system, which can control the water system and exhaust system of the intelligent building respectively, and can start the fire safety system when a fire or other disaster occurs; it also includes an intelligent positioning system, when the disaster sensing device of the intelligent positioning system senses the occurrence of a disaster, the positioning device transmits the location information of the disaster to the building equipment control system; however, the above patent has the following defects:

[0004] In the existing construction process, operators are still required to supervise and regularly control the construction process from the foundation, base, structural columns, beams, floor slabs, to infill walls. The labor intensity is high, the degree of intelligence is low, and abnormal construction phenomena cannot be discovered in time, resulting in poor construction control management effects. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent construction control and management system based on the Internet of Things, which can intelligently control and manage the construction process from foundation, base, structural columns, beams, floor slabs, and filling walls based on the intelligent construction control management method, thereby reducing the workload of operators and improving the degree of construction intelligence. It can promptly detect construction abnormalities and control them in a timely manner, thereby improving the construction control management effect and solving the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An intelligent construction control and management system based on the Internet of Things, comprising:

[0008] The data collection module is used to collect real-time data on construction noise, construction dust, concrete pouring and steel processing during the construction of the foundation, base, structural columns, beams, floor slabs and infill walls, and determine the real-time data on the construction status;

[0009] The data processing module is used to perform comprehensive processing based on retrieval, grouping, sorting, feature extraction and calculation on the real-time data of the construction status collected in real time, and determine the construction status representation data based on the Internet of Things;

[0010] A construction analysis module is used to index and retrieve pre-set construction status standard data based on the construction status representation data, perform construction analysis on the construction status representation data based on the construction status standard data, and determine the intelligent construction analysis results;

[0011] The control management module is used to conduct in-depth mining and analysis of the intelligent construction analysis results, formulate corresponding intelligent construction control management methods, and based on the intelligent construction control management methods, intelligently control and manage the construction process from foundation, structural columns, beams, floor slabs, to filling walls.

[0012] Preferably, the data acquisition module includes:

[0013] Noise monitoring unit, used to collect construction noise data in real time during the construction of foundations, bases, structural columns, beams, floor slabs, and infill walls;

[0014] Dust monitoring unit, used to collect construction dust data in real time during the construction of foundations, bases, structural columns, beams, floor slabs, and infill walls;

[0015] The pouring monitoring unit is used to collect concrete pouring data in real time during the construction process of the foundation, base, structural columns, beams, floor slabs, and infill walls;

[0016] Processing monitoring unit, used to collect real-time steel processing data during the construction of foundation, base, structural columns, beams, floor slabs, and infill walls;

[0017] Based on the real-time data of construction noise, construction dust, concrete pouring and steel processing collected during the construction process of the foundation, base, structural columns, beams, floor slabs and filling walls, the real-time data of construction status is determined.

[0018] Preferably, the data processing module includes:

[0019] Data retrieval unit for:

[0020] Get real-time data on construction status;

[0021] Based on the sequential retrieval method, the real-time data of the construction status are retrieved one by one;

[0022] Filter out duplicate or missing data contained in the real-time data of construction status;

[0023] Filter out duplicate or missing data in the real-time data of construction status, and determine the real-time data of construction status that is valuable for intelligent construction control and management;

[0024] Data packet unit, used for:

[0025] Obtain real-time data on construction status that is valuable for intelligent construction control and management;

[0026] Based on the principle of mutual exclusivity, the real-time data of construction status are grouped one by one;

[0027] Determine construction status real-time data groups with different attribute types, and each construction status real-time data group stores construction status real-time data with the same attribute type;

[0028] Data sorting unit, used to:

[0029] Acquire a real-time data group of construction status with different attribute types;

[0030] Based on the internal sorting method, the real-time construction status data with the same attribute type stored in each real-time construction status data group are uniformly sorted;

[0031] A construction status real-time data group having an arrangement order is determined, and the construction status real-time data stored in each construction status real-time data group is neatly arranged.

[0032] Preferably, the data processing module further includes:

[0033] Feature extraction unit, used to:

[0034] Acquire a real-time data group of construction status with arrangement order;

[0035] Performing feature extraction on the real-time construction status data stored in each real-time construction status data group;

[0036] Determine construction status characteristic data of each construction status real-time data group;

[0037] Data computing unit, used for:

[0038] Acquire construction status characteristic data of each construction status real-time data group;

[0039] Calculating the construction status characteristic data of each construction status real-time data group;

[0040] Determine the construction status representation data based on the Internet of Things.

[0041] Preferably, the construction analysis module includes:

[0042] Data storage unit for:

[0043] Store pre-set standard data of construction status;

[0044] Among them, the construction status standard data includes construction noise standard data, construction dust standard data, concrete pouring standard data and steel processing standard data;

[0045] Data index unit, used for:

[0046] Obtain construction status representation data based on the Internet of Things;

[0047] Based on the construction status representation data, pre-set construction status standard data is indexed;

[0048] Data retrieval unit, used for:

[0049] Obtain the indexed pre-set construction status standard data;

[0050] Retrieve the indexed pre-set standard data of construction status;

[0051] Construct analytical units to:

[0052] Acquire construction status representation data and construction status standard data, perform construction analysis on the construction status representation data based on the construction status standard data, and determine intelligent construction analysis results.

[0053] Preferably, based on the construction status standard data, the construction status characterization data is subjected to construction analysis, and the following operations are performed:

[0054] In the case where the construction status representation data is within the construction status standard data range, the intelligent construction analysis result is that there is no abnormality in the construction status during the construction process;

[0055] In the case where the construction status characterization data is not within the construction status standard data range, the intelligent construction analysis result is that there is an abnormality in the construction status during the construction process.

[0056] Preferably, the control management module includes:

[0057] Mining analysis unit for:

[0058] Obtain the results of intelligent construction analysis, conduct in-depth mining and analysis on the results, determine the essential causes of intelligent construction, and formulate corresponding intelligent construction control and management methods based on the essential causes of intelligent construction;

[0059] Control management unit for:

[0060] Obtain intelligent construction control and management methods, and based on the intelligent construction control and management methods, carry out intelligent control and management of the construction process from foundation, base, structural columns, beams, floor slabs, to filling walls.

[0061] Preferably, the construction process from foundation, base, structural column, beam, floor slab, filling wall is intelligently controlled and managed based on the intelligent construction control management method, and the following operations are performed:

[0062] In the case that there is no abnormality in the construction status during the construction process, the corresponding intelligent construction control management method is to continue to intelligently monitor and control the construction process from the foundation, base, structural columns, beams, floor slabs, and filling walls;

[0063] In the event of abnormalities in the construction status during the construction process, the corresponding intelligent construction control and management method is to conduct early warning control in a timely manner, send early warning information to maintenance personnel in a timely manner, guide maintenance personnel to quickly go to the construction site, and control and manage the construction process.

[0064] Preferably, after determining the intelligent construction analysis results, before deeply mining and analyzing the intelligent construction analysis results and formulating the corresponding intelligent construction control management method, the system is also used to:

[0065] Determine the construction progress of various construction parameters based on the results of intelligent construction analysis;

[0066] Obtaining the decision factor of each construction parameter, and determining the manual execution efficiency of each construction parameter according to the decision factor and the standard daily construction status description parameter of each construction parameter;

[0067] A construction dynamic model for each construction parameter is constructed based on the labor execution efficiency and the construction materials of each construction parameter;

[0068] The construction dynamic model is used to simulate the same-cycle progress ratio and the same-manpower progress ratio of each construction parameter, and the completion condition difficulty index of each construction parameter is determined based on the same-cycle progress ratio and the same-manpower progress ratio;

[0069] Determine the intelligent construction control management weight of each construction parameter based on the completion condition difficulty index of each construction parameter;

[0070] Determining a data mining strategy for each construction parameter based on the intelligent construction control management weight of each construction parameter, wherein the data mining strategy includes: qualitative data mining and quantitative data mining;

[0071] Conduct in-depth mining and analysis of intelligent construction analysis results based on data mining strategies for various construction parameters;

[0072] Determine the control area of ​​each construction parameter, and generate reference condition parameters of the intelligent construction control management method for each construction parameter based on the control area and construction materials of the construction parameter.

[0073] Preferably, the control management module conducts in-depth mining and analysis of the intelligent construction analysis results, including:

[0074] Determine optimization concepts based on smart construction analysis results;

[0075] Determine the concept extension coefficient and concept connotation coefficient according to the concept parameters of the optimized concept;

[0076]

[0077] Among them, G represents the concept extension coefficient, H represents the concept connotation coefficient, D′ represents the volume of concept-related data, M represents the number of concept extension data parameters, j represents the jth extension data parameter, and D 1j represents the data volume of the jth extension data parameter, N represents the number of concept connotation data parameters, k represents the kth connotation data parameter, and D 2k It is represented as the relevant data volume of the k-th connotation data parameter;

[0078] Acquire multiple data fields, and determine a data field attribute value of each data field according to data parameters in each data field;

[0079] The data mining ratio of the intelligent construction analysis results in each data field is calculated based on the concept extension coefficient, concept connotation coefficient and the data domain attribute value of each data field:

[0080]

[0081] Among them, P j It is expressed as the data mining ratio of the intelligent construction analysis results in the i-th data field, G is expressed as the concept extension coefficient, H is expressed as the concept connotation coefficient, S i It is represented as the data domain attribute value of the i-th data domain, S′ is represented as the concept requirement data attribute value, e is represented as a natural constant, and δ is represented as a preset partial order index;

[0082] According to the data mining ratio in each data field of the intelligent construction analysis results, a target data field greater than or equal to a preset ratio is selected as a data source for deep mining of the intelligent construction analysis results.

[0083] Compared with the prior art, the present invention has the following beneficial effects:

[0084] The present invention determines the real-time data of construction status by collecting real-time data of construction noise, real-time data of construction dust, real-time data of concrete pouring and real-time data of steel processing in the construction process of foundation, base, structural columns, beams, floor slabs and filling walls in real time, performs comprehensive processing on the real-time data of construction status, determines the construction status characterization data, indexes and retrieves pre-set construction status standard data based on the construction status characterization data, performs construction analysis on the construction status characterization data based on the construction status standard data, determines the intelligent construction analysis result, deeply mines and analyzes the intelligent construction analysis result, formulates a corresponding intelligent construction control and management method, and performs intelligent control and management on the construction process of foundation, base, structural columns, beams, floor slabs and filling walls based on the intelligent construction control and management method, which can reduce the workload of operators, improve the degree of construction intelligence, timely discover construction abnormalities and timely control them, and achieve good construction control and management effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 This is a module schematic diagram of the intelligent construction control and management system based on the Internet of Things of the present invention;

[0086] Figure 2 This is an algorithm flow chart of the intelligent construction control and management system based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0087] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0088] In order to solve the problem that in the existing construction process, operators are still required to supervise and regularly control the construction process from foundation, base, structural columns, beams, floor slabs, and filling walls, the labor intensity is high, the degree of intelligence is low, and abnormal construction phenomena cannot be discovered in time, resulting in poor construction control management effects, please refer to Figure 1-Figure 2 , this embodiment provides the following technical solutions:

[0089] An intelligent construction control and management system based on the Internet of Things, including a data acquisition module, a data processing module, a construction analysis module and a control management module;

[0090] The data collection module is used to collect real-time data on construction noise, construction dust, concrete pouring and steel processing during the construction of the foundation, base, structural columns, beams, floor slabs and infill walls, and determine the real-time data on the construction status.

[0091] In this embodiment, the data acquisition module includes:

[0092] Noise monitoring unit, used to collect construction noise data in real time during the construction of foundations, bases, structural columns, beams, floor slabs, and infill walls;

[0093] It should be noted that the noise monitoring unit can be used to monitor the construction noise generated during the construction process. When the construction noise is detected to exceed the pre-set construction noise standard data, early warning control will be carried out in a timely manner, and early warning information will be sent to maintenance personnel in a timely manner.

[0094] Dust monitoring unit, used to collect construction dust data in real time during the construction of foundations, bases, structural columns, beams, floor slabs, and infill walls;

[0095] It should be noted that the dust monitoring unit can be used to monitor the construction dust generated during the construction process. When the construction dust situation is monitored to exceed the pre-set construction dust standard data, early warning control will be carried out in a timely manner, and early warning information will be sent to maintenance personnel in a timely manner.

[0096] The pouring monitoring unit is used to collect concrete pouring data in real time during the construction process of the foundation, base, structural columns, beams, floor slabs, and infill walls;

[0097] It should be noted that the pouring monitoring unit can be used to monitor the quality of concrete pouring during the construction process. When it is monitored that the concrete pouring quality is not within the pre-set concrete pouring standard data range, early warning control is carried out in a timely manner, and early warning information is sent to maintenance personnel in a timely manner.

[0098] Processing monitoring unit, used to collect real-time steel processing data during the construction of foundation, base, structural columns, beams, floor slabs, and infill walls;

[0099] It should be noted that the processing quality of steel during the construction process can be monitored through the processing monitoring unit. When it is monitored that the steel processing quality is not within the pre-set steel processing standard data range, timely early warning control will be carried out and early warning information will be sent to maintenance personnel in a timely manner.

[0100] Based on the real-time data of construction noise, construction dust, concrete pouring and steel processing collected during the construction process of the foundation, base, structural columns, beams, floor slabs and filling walls, the real-time data of construction status is determined.

[0101] The data processing module is used to perform comprehensive processing based on retrieval, grouping, sorting, feature extraction and calculation on the real-time data of the construction status collected in real time, and determine the construction status representation data based on the Internet of Things;

[0102] In this embodiment, the data processing module includes:

[0103] Data retrieval unit for:

[0104] Acquire the real-time data of the construction status, search the real-time data of the construction status one by one based on the sequential search method, and filter out the duplicate or missing data contained in the real-time data of the construction status;

[0105] Filter out duplicate or missing data in the real-time data of construction status, and determine the real-time data of construction status that is valuable for intelligent construction control and management;

[0106] It should be noted that the real-time data of construction status collected in real time contains duplicate or missing data, which are worthless for intelligent construction control and management. Therefore, the duplicate or missing data contained in the real-time data of construction status can be screened out and the duplicate or missing data contained in the real-time data of construction status can be filtered out through the data retrieval unit, which can improve the processing accuracy and efficiency of the real-time data of construction status.

[0107] Data packet unit, used for:

[0108] Obtain real-time data on construction status that is valuable for intelligent construction control and management;

[0109] Based on the principle of mutual exclusivity, the real-time data of construction status are grouped one by one;

[0110] Determine construction status real-time data groups with different attribute types, and each construction status real-time data group stores construction status real-time data with the same attribute type;

[0111] It should be noted that the retrieved real-time construction status data contains different attribute types. The retrieved real-time construction status data can be grouped through the data grouping unit to facilitate subsequent unified sorting of the real-time construction status data.

[0112] Data sorting unit, used to:

[0113] Acquire a real-time data group of construction status with different attribute types;

[0114] Based on the internal sorting method, the real-time construction status data with the same attribute type stored in each real-time construction status data group are uniformly sorted;

[0115] Determining a construction status real-time data group with an arrangement order, and the construction status real-time data stored in each construction status real-time data group is neatly arranged;

[0116] It should be noted that the real-time construction status data stored in the grouped real-time construction status data group is in no order. The data sorting unit can uniformly sort the real-time construction status data stored in each real-time construction status data group so that the data is arranged neatly, which is convenient for subsequent feature extraction of the real-time construction status data.

[0117] Feature extraction unit, used to:

[0118] Acquire a real-time data group of construction status with arrangement order;

[0119] Performing feature extraction on the real-time construction status data stored in each real-time construction status data group;

[0120] Determine construction status characteristic data of each construction status real-time data group;

[0121] Data computing unit, used for:

[0122] Acquire construction status characteristic data of each construction status real-time data group;

[0123] Calculating the construction status characteristic data of each construction status real-time data group;

[0124] Determine the construction status representation data based on the Internet of Things.

[0125] The construction analysis module is used to index and retrieve the pre-set construction status standard data based on the construction status representation data, and perform construction analysis on the construction status representation data based on the construction status standard data to determine the intelligent construction analysis results;

[0126] In this embodiment, the construction analysis module includes:

[0127] Data storage unit for:

[0128] Store pre-set standard data of construction status;

[0129] Among them, the construction status standard data includes construction noise standard data, construction dust standard data, concrete pouring standard data and steel processing standard data;

[0130] Data index unit, used for:

[0131] Obtain construction status representation data based on the Internet of Things;

[0132] Based on the construction status representation data, pre-set construction status standard data is indexed;

[0133] Data retrieval unit, used for:

[0134] Obtain the indexed pre-set construction status standard data;

[0135] Retrieve the indexed pre-set standard data of construction status;

[0136] Construct analytical units to:

[0137] Acquire construction status representation data and construction status standard data, perform construction analysis on the construction status representation data based on the construction status standard data, and determine intelligent construction analysis results.

[0138] In this embodiment, based on the construction status standard data, the construction status representation data is subjected to construction analysis, and the following operations are performed:

[0139] In the case where the construction status representation data is within the construction status standard data range, the intelligent construction analysis result is that there is no abnormality in the construction status during the construction process;

[0140] In the case where the construction status characterization data is not within the construction status standard data range, the intelligent construction analysis result is that there is an abnormality in the construction status during the construction process.

[0141] Specifically, based on the construction status standard data, the construction status representation data is subjected to construction analysis, and the intelligent construction analysis results are shown in Table 1:

[0142] Table 1: Intelligent construction analysis results

[0143]

[0144] Therefore, based on the standard construction status data, construction analysis can be performed on the construction status characterization data to determine the results of intelligent construction analysis. When there are abnormal phenomena in the construction status during the construction process, early warning control can be carried out in a timely manner, and early warning information can be sent to maintenance personnel in a timely manner to guide maintenance personnel to quickly go to the construction site and control and manage the construction process.

[0145] Among them, the control management module is used to conduct in-depth mining and analysis of the intelligent construction analysis results, formulate corresponding intelligent construction control management methods, and based on the intelligent construction control management methods, intelligently control and manage the construction process from foundation, structural columns, beams, floor slabs, to filling walls.

[0146] In this embodiment, the control management module includes:

[0147] Mining analysis unit for:

[0148] Obtain the results of intelligent construction analysis, conduct in-depth mining and analysis on the results, determine the essential causes of intelligent construction, and formulate corresponding intelligent construction control and management methods based on the essential causes of intelligent construction;

[0149] Control management unit for:

[0150] Obtain intelligent construction control and management methods, and based on the intelligent construction control and management methods, carry out intelligent control and management of the construction process from foundation, base, structural columns, beams, floor slabs, to filling walls.

[0151] In one embodiment, after determining the intelligent construction analysis results, before deeply mining and analyzing the intelligent construction analysis results and formulating the corresponding intelligent construction control management method, the system is also used to:

[0152] Determine the construction progress of various construction parameters based on the results of intelligent construction analysis;

[0153] Obtaining the decision factor of each construction parameter, and determining the manual execution efficiency of each construction parameter according to the decision factor and the standard daily construction status description parameter of each construction parameter;

[0154] A construction dynamic model for each construction parameter is constructed based on the labor execution efficiency and the construction materials of each construction parameter;

[0155] The construction dynamic model is used to simulate the same-cycle progress ratio and the same-manpower progress ratio of each construction parameter, and the completion condition difficulty index of each construction parameter is determined based on the same-cycle progress ratio and the same-manpower progress ratio;

[0156] Determine the intelligent construction control management weight of each construction parameter based on the completion condition difficulty index of each construction parameter;

[0157] Determining a data mining strategy for each construction parameter based on the intelligent construction control management weight of each construction parameter, wherein the data mining strategy includes: qualitative data mining and quantitative data mining;

[0158] Conduct in-depth mining and analysis of intelligent construction analysis results based on data mining strategies for various construction parameters;

[0159] Determine the control area of ​​each construction parameter, and generate reference condition parameters of the intelligent construction control management method for each construction parameter based on the control area and construction materials of the construction parameter.

[0160] The beneficial effects of the above technical solution are: it can ensure the reasonable reliability of the intelligent construction control management of each construction parameter, conduct comprehensive analysis of multiple dimensions such as construction manpower and materials for each construction parameter to ensure the management weight so as to carry out targeted and intensive management of important construction parameters, thereby ensuring management efficiency.

[0161] In one embodiment, the control management module performs in-depth mining and analysis on the intelligent construction analysis results, including:

[0162] Determine optimization concepts based on smart construction analysis results;

[0163] Determine the concept extension coefficient and concept connotation coefficient based on the concept parameters of the optimized concept:

[0164]

[0165]

[0166] Among them, G represents the concept extension coefficient, H represents the concept connotation coefficient, D′ represents the volume of concept-related data, M represents the number of concept extension data parameters, j represents the jth extension data parameter, and D 1j represents the data volume of the jth extension data parameter, N represents the number of concept connotation data parameters, k represents the kth connotation data parameter, and D 2k It is represented as the relevant data volume of the k-th connotation data parameter;

[0167] Acquire multiple data fields, and determine a data field attribute value of each data field according to data parameters in each data field;

[0168] The data mining ratio of the intelligent construction analysis results in each data field is calculated based on the concept extension coefficient, concept connotation coefficient and the data domain attribute value of each data field:

[0169]

[0170] Among them, P i It is expressed as the data mining ratio of the intelligent construction analysis results in the i-th data field, G is expressed as the concept extension coefficient, H is expressed as the concept connotation coefficient, S i It is represented as the data domain attribute value of the i-th data domain, S′ is represented as the concept requirement data attribute value, e is represented as a natural constant, and δ is represented as a preset partial order index;

[0171] According to the data mining ratio in each data field of the intelligent construction analysis results, a target data field greater than or equal to a preset ratio is selected as a data source for deep mining of the intelligent construction analysis results.

[0172] In this embodiment, the concept extension coefficient is expressed as the volume coefficient of the externally extended knowledge involved in the concept;

[0173] In this embodiment, the concept connotation coefficient is expressed as the volume coefficient of the internally contained knowledge involved in the concept;

[0174] In this embodiment, the data domain attribute value represents the data attribute corresponding to the maximum proportion of data contained in the data domain;

[0175] In this embodiment, the preset partial order coefficient is expressed as the quotient of the volume of deviant knowledge involved in the concept and the volume of normal knowledge involved.

[0176] The beneficial effects of the above technical solution are as follows: by calculating the data mining ratio of the intelligent construction analysis results in each data field, the data mining field can be accurately determined to ensure the rationality and reliability of the mining data and its adaptability to the intelligent construction analysis results, thereby ensuring the quality of the mining data, providing data reference conditions for subsequent intelligent management, and improving practicality.

[0177] In this embodiment, based on the intelligent construction control management method, the construction process from foundation, base, structural column, beam, floor slab, filling wall is intelligently controlled and managed, and the following operations are performed:

[0178] In the case that there is no abnormality in the construction status during the construction process, the corresponding intelligent construction control management method is to continue to intelligently monitor and control the construction process from the foundation, base, structural columns, beams, floor slabs, and filling walls;

[0179] In the event of abnormalities in the construction status during the construction process, the corresponding intelligent construction control and management method is to conduct early warning control in a timely manner, send early warning information to maintenance personnel in a timely manner, guide maintenance personnel to quickly go to the construction site, and control and manage the construction process.

[0180] Specifically, based on the intelligent construction control and management method, the construction process from foundation, base, structural column, beam, floor slab, to filling wall is intelligently controlled and managed. The intelligent construction control and management situation is shown in Table 2:

[0181] Table 2: Intelligent construction control and management

[0182]

[0183]

[0184] Therefore, by real-time collection of construction noise real-time data, construction dust real-time data, concrete pouring real-time data and steel processing real-time data in the construction process of the foundation, base, structural columns, beams, floor slabs and filling walls, the real-time data of the construction status is determined, and the real-time data of the construction status is comprehensively processed to determine the construction status characterization data. Based on the construction status characterization data, the pre-set construction status standard data is indexed and retrieved. Based on the construction status standard data, the construction status characterization data is analyzed to determine the intelligent construction analysis results. The intelligent construction analysis results are deeply mined and analyzed, and the corresponding intelligent construction control and management methods are formulated. Based on the intelligent construction control and management methods, the construction process of the foundation, base, structural columns, beams, floor slabs and filling walls is intelligently controlled and managed, which can reduce the workload of operators, improve the degree of construction intelligence, and promptly discover construction abnormalities and control them in a timely manner, so that the construction control and management effect is good.

[0185] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0186] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent construction control and management system based on the Internet of Things, characterized in that: include: The data collection module is used to collect real-time data on construction noise, construction dust, concrete pouring and steel processing during the construction of the foundation, base, structural columns, beams, floor slabs and infill walls, and determine the real-time data on the construction status; The data processing module is used to perform comprehensive processing based on retrieval, grouping, sorting, feature extraction and calculation on the real-time data of the construction status collected in real time, and determine the construction status representation data based on the Internet of Things; A construction analysis module is used to index and retrieve pre-set construction status standard data based on the construction status representation data, perform construction analysis on the construction status representation data based on the construction status standard data, and determine the intelligent construction analysis results; The control management module is used to conduct in-depth mining and analysis of the intelligent construction analysis results, formulate corresponding intelligent construction control management methods, and intelligently control and manage the construction process from foundation, base, structural columns, beams, floor slabs, and filling walls based on the intelligent construction control management methods; After determining the intelligent construction analysis results, before deeply mining and analyzing the intelligent construction analysis results and formulating the corresponding intelligent construction control management method, the system is also used to: Determine the construction progress of various construction parameters based on the results of intelligent construction analysis; Obtaining the decision factor of each construction parameter, and determining the manual execution efficiency of each construction parameter according to the decision factor and the standard daily construction status description parameter of each construction parameter; A construction dynamic model for each construction parameter is constructed based on the labor execution efficiency and the construction materials of each construction parameter; The construction dynamic model is used to simulate the same-cycle progress ratio and the same-manpower progress ratio of each construction parameter, and the completion condition difficulty index of each construction parameter is determined based on the same-cycle progress ratio and the same-manpower progress ratio; Determine the intelligent construction control management weight of each construction parameter based on the completion condition difficulty index of each construction parameter; Determining a data mining strategy for each construction parameter based on the intelligent construction control management weight of each construction parameter, wherein the data mining strategy includes: qualitative data mining and quantitative data mining; Conduct in-depth mining and analysis of intelligent construction analysis results based on data mining strategies for various construction parameters; Determine the control area of ​​each construction parameter, and generate reference condition parameters of the intelligent construction control management method of each construction parameter according to the control area and construction materials of each construction parameter; The control management module conducts in-depth mining and analysis of intelligent construction analysis results, including: Determine optimization concepts based on smart construction analysis results; Determine the concept extension coefficient and concept connotation coefficient based on the concept parameters of the optimized concept: Among them, G represents the concept extension coefficient, H represents the concept connotation coefficient, and D ′ is the volume of concept-related data, M is the number of concept extension data parameters, j is the jth extension data parameter, and D 1j represents the data volume of the jth extension data parameter, N represents the number of concept connotation data parameters, k represents the kth connotation data parameter, and D 2k It is represented as the relevant data volume of the k-th connotation data parameter; Acquire multiple data fields, and determine a data field attribute value of each data field according to data parameters in each data field; The data mining ratio of the intelligent construction analysis results in each data field is calculated based on the concept extension coefficient, concept connotation coefficient and the data domain attribute value of each data field: Among them, P i It is expressed as the data mining ratio of the intelligent construction analysis results in the i-th data field, G is expressed as the concept extension coefficient, H is expressed as the concept connotation coefficient, S i Represented as the data domain attribute value of the i-th data domain, S ′ It is represented as the attribute value of the concept demand data, e is represented as a natural constant, and δ is represented as a preset partial order index; According to the data mining ratio in each data field of the intelligent construction analysis results, a target data field greater than or equal to a preset ratio is selected as a data source for deep mining of the intelligent construction analysis results.

2. According to the Internet of Things-based intelligent construction control and management system of claim 1, it is characterized in that: The data acquisition module comprises: Noise monitoring unit, used to collect construction noise data in real time during the construction of foundations, bases, structural columns, beams, floor slabs, and infill walls; Dust monitoring unit, used to collect construction dust data in real time during the construction of foundations, bases, structural columns, beams, floor slabs, and infill walls; The pouring monitoring unit is used to collect concrete pouring data in real time during the construction process of the foundation, base, structural columns, beams, floor slabs, and infill walls; Processing monitoring unit, used to collect real-time steel processing data during the construction of foundation, base, structural columns, beams, floor slabs, and infill walls; Based on the real-time data of construction noise, construction dust, concrete pouring and steel processing collected during the construction process of the foundation, base, structural columns, beams, floor slabs and filling walls, the real-time data of construction status is determined.

3. According to the Internet of Things-based intelligent construction control and management system of claim 2, it is characterized in that: The data processing module comprises: Data retrieval unit for: Get real-time data on construction status; Based on the sequential retrieval method, the real-time data of the construction status are retrieved one by one; Filter out duplicate or missing data contained in the real-time data of construction status; Filter out duplicate or missing data in the real-time data of construction status, and determine the real-time data of construction status that is valuable for intelligent construction control and management; Data packet unit, used for: Obtain real-time construction status data that is valuable for intelligent construction control and management, and group the real-time construction status data one by one; Determine construction status real-time data groups with different attribute types, and each construction status real-time data group stores construction status real-time data with the same attribute type; Data sorting unit, used to: Acquire construction status real-time data groups with different attribute types, and uniformly sort the construction status real-time data with the same attribute type stored in each construction status real-time data group; A construction status real-time data group having an arrangement order is determined, and the construction status real-time data stored in each construction status real-time data group is neatly arranged.

4. According to claim 3, the intelligent construction control and management system based on the Internet of Things is characterized in that: The data processing module also includes: Feature extraction unit, used to: Acquire a real-time data group of construction status with arrangement order; Performing feature extraction on the real-time construction status data stored in each real-time construction status data group; Determine construction status characteristic data of each construction status real-time data group; Data computing unit, used for: Acquire construction status characteristic data of each construction status real-time data group; Calculating the construction status characteristic data of each construction status real-time data group; Determine the construction status representation data based on the Internet of Things.

5. According to claim 4, the intelligent construction control and management system based on the Internet of Things is characterized in that: The construction analysis module includes: Data storage unit for: Store pre-set standard data of construction status; Among them, the construction status standard data includes construction noise standard data, construction dust standard data, concrete pouring standard data and steel processing standard data; Data index unit, used for: Obtain construction status representation data based on the Internet of Things; Based on the construction status representation data, pre-set construction status standard data is indexed; Data retrieval unit, used for: Obtain the indexed pre-set construction status standard data; Retrieve the indexed pre-set standard data of construction status; Construct analytical units to: Acquire construction status representation data and construction status standard data, perform construction analysis on the construction status representation data based on the construction status standard data, and determine intelligent construction analysis results.

6. The intelligent construction control and management system based on the Internet of Things according to claim 5 is characterized in that: Based on the construction status standard data, the construction status representation data is subjected to construction analysis to perform the following operations: In the case where the construction status representation data is within the construction status standard data range, the intelligent construction analysis result is that there is no abnormality in the construction status during the construction process; In the case where the construction status characterization data is not within the construction status standard data range, the intelligent construction analysis result is that there is an abnormality in the construction status during the construction process.

7. The intelligent construction control and management system based on the Internet of Things according to claim 6 is characterized in that: The control management module includes: Mining analysis unit for: Obtain the results of intelligent construction analysis, conduct in-depth mining and analysis on the results, determine the essential causes of intelligent construction, and formulate corresponding intelligent construction control and management methods based on the essential causes of intelligent construction; Control management unit for: Obtain intelligent construction control and management methods, and based on the intelligent construction control and management methods, carry out intelligent control and management of the construction process from foundation, base, structural columns, beams, floor slabs, to filling walls.

8. The intelligent construction control and management system based on the Internet of Things according to claim 7 is characterized in that: Based on the intelligent construction control and management method, the construction process from foundation, base, structural column, beam, floor slab, and filling wall is intelligently controlled and managed, and the following operations are performed: In the case that there is no abnormality in the construction status during the construction process, the corresponding intelligent construction control management method is to continue to intelligently monitor and control the construction process from the foundation, base, structural columns, beams, floor slabs, and filling walls; In the event of abnormalities in the construction status during the construction process, the corresponding intelligent construction control and management method is to conduct early warning control in a timely manner, send early warning information to maintenance personnel in a timely manner, guide maintenance personnel to quickly go to the construction site, and control and manage the construction process.

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