Multi-dimensional engineering project quality data visualization management system

Abstract

The invention relates to the field of multi-dimensional engineering project quality data visual management, in particular to a multi-dimensional engineering project quality data visual management system, which comprises a data acquisition module used for acquiring construction feature basic data of a construction site; the data processing module comprises a screening unit and a cleaning unit connected with the screening unit; the data analysis module is used for converting the construction feature target data into visual data; and the control module is used for adjusting the number of quality sampling points according to the actual completion time of the project, judging the integrity of data acquisition according to the construction characteristic basic data so as to determine a data processing mode, and judging the state of displayed and output error data according to the standard deviation of the error data so as to determine an accurate processing mode. According to the invention, adjustment and determination processing are carried out through the actual completion time of the project, the data acquisition integrity and the error data standard deviation, and the efficiency and accuracy of engineering project quality data management are improved.

Description

Technical Field

[0001] The present invention relates to the field of multi-dimensional engineering project quality data visualization management, and in particular to a multi-dimensional engineering project quality data visualization management system. Background Art

[0002] In modern engineering project management, with the continuous expansion of project scale, increasing complexity and increasingly stringent quality requirements, traditional quality management methods and data processing methods have gradually exposed many limitations. In the past, the collection, collation and analysis of engineering project quality data often relied on a large number of paper documents and manual operations, which was not only inefficient, but also affected the timeliness and accuracy of decision-making. At the same time, engineering projects involved multiple professional fields and participants, and there were obstacles to data sharing and collaborative work between departments, resulting in poor information flow and difficulty in forming a comprehensive and real-time monitoring of project quality. With the rapid development of information technology, especially the rise of technologies such as big data, cloud computing, and the Internet of Things, new opportunities have been brought to engineering project quality management. A large amount of quality-related data can be collected in real time through sensors, monitoring equipment and other means, and the application of data mining and data analysis algorithms can extract valuable information from these data. However, to give full play to the advantages of these technologies, an integrated, multi-dimensional engineering project quality data management system with powerful visualization functions is needed to achieve comprehensive control of project quality, accurate analysis and efficient decision-making, thereby improving the overall quality level of engineering projects, reducing quality risks, and ensuring that projects are delivered on time and in quality.

[0003] Patent publication number CN112686774A discloses a digital engineering large-screen visualization intelligent management system, including a visualization subsystem, an engineering data subsystem, a management service subsystem, a BIM subsystem, and a customer management subsystem; wherein the visualization subsystem is used to display the data information obtained by the engineering data subsystem from the management service subsystem and the BIM subsystem, and allows customers to access it through the customer management subsystem. It can be seen that the digital engineering large-screen visualization intelligent management system has the problem of being unable to achieve quantitative monitoring of the quality of engineering projects due to the lack of real-time monitoring of on-site construction conditions. Summary of the invention

[0004] To this end, the present invention provides a multi-dimensional engineering project quality data visualization management system to overcome the problem in the prior art that there are few aspects of real-time monitoring of on-site construction conditions, thus making it impossible to achieve quantitative monitoring of the quality of engineering projects.

[0005] To achieve the above objectives, the present invention provides a multi-dimensional engineering project quality data visualization management system, comprising: A data collection module is used to collect basic construction feature data of the construction site, wherein the basic construction feature data includes construction structure information, actual completion time of the project, construction quality compliance rate, and consumption of materials at the construction site; A data processing module, which is connected to the data acquisition module and includes a screening unit for screening error data in the construction feature basic data and outputting construction feature target data; A data analysis module, connected to the data processing module, for converting the construction characteristic target data into visual data; A control module is connected to the data acquisition module, the data processing module and the data analysis module respectively, and is used to determine the number of quality sampling points according to the actual completion time of the project, determine the screening method of the error data according to the integrity and validity of the construction structure information, and determine the state of the error data output by the visualization data display according to the standard deviation of the error data to determine whether to execute the visualization correction method. Among them, the screening method includes restoring the three-dimensional structure diagram of the construction area according to the construction structure information to locate the error position or determining the error data according to the process rationality evaluation parameters of the construction process; the visualization correction method includes adjusting the classification number of error data or adjusting the update cycle of visualization data.

[0006] Furthermore, the data processing module also includes a cleaning unit connected to the screening unit for removing the error data.

[0007] Furthermore, the control module is connected to the data acquisition module to obtain the actual completion time of the project, determine whether the quality risk meets the requirements based on the actual completion time of the project, and increase the number of quality sampling points when the actual completion time of the project is less than the preset completion time.

[0008] Furthermore, the increase in the number of the quality sampling points is determined by the difference between the preset completion time and the actual completion time of the project.

[0009] Furthermore, the control module is connected to the data acquisition module and the data processing module respectively, and is used to restore the three-dimensional structure diagram of the construction area according to the construction structure information to locate the error position under the condition that the information type of the construction structure information is the same as the information type of the complete building structure information and the construction structure information is valid information.

[0010] Furthermore, under the condition that the information type of the construction structure information is not completely the same as the information type of the complete building structure information or the construction structure information is invalid information, the control module determines the error data according to the process rationality evaluation parameters of the construction process.

[0011] Furthermore, the process rationality evaluation parameter of the construction process is the sum of the product of the material consumption rate and the weight coefficient of the material consumption rate and the product of the quality acceptance compliance rate and the weight coefficient of the quality acceptance compliance rate; Among them, if the process rationality evaluation parameter is greater than the preset evaluation parameter, the material consumption rate and the quality acceptance compliance rate are determined to be error data.

[0012] Furthermore, the control module determines that the erroneous data output by the visualization data display is in a concentrated state under the condition that the standard deviation of the error data is greater than or equal to a preset first standard deviation and less than a preset second standard deviation, thereby reducing the number of classifications of the error data.

[0013] Furthermore, when the standard deviation of the error data is greater than or equal to the preset second standard deviation, the control module determines that the error data output by the visualization data display is in a dispersed state, and increases the update period of the visualization data.

[0014] Furthermore, the update period of the visualization data is positively correlated with the standard deviation of the error data.

[0015] Compared with the prior art, the beneficial effect of the present invention lies in that, by setting a data acquisition module, a data processing module, a data analysis module and a control module, the present invention adjusts the number of quality sampling points according to the project completion time through the control module, thereby overcoming the problem of premature completion time caused by unqualified project quality and realizing real-time monitoring of construction quality; by restoring the three-dimensional structural diagram of the construction area to locate error data, the problem of being unable to quantitatively monitor construction quality is overcome, and it is convenient to locate and repair error data.

[0016] Furthermore, the present invention sets a preset completion time and adjusts the number of quality sampling points according to the actual completion time of the project, thereby overcoming the situation where the internal structure quality of the construction project does not meet the standards due to the construction workers completing the work too quickly, thereby causing structural defects and increasing the risk of accidents. It helps to optimize the rationality of construction and reduce the situation where rework due to quality problems causes delays in the construction period.

[0017] Furthermore, the present invention sets process rationality evaluation parameters for the construction process and judges error data based on the material consumption rate, the actual completion time of the project and the construction area, thereby overcoming the situation where the construction process is unqualified due to improper operation of personnel during the construction process, thereby leading to unqualified project quality; it overcomes the problem that the construction quality cannot be monitored through the three-dimensional structure when the construction structure information cannot constitute the overall structure of a house, and realizes a more comprehensive positioning of the error data.

[0018] Furthermore, the present invention determines the accuracy of the displayed output data according to the degree of discreteness of the error data by setting a preset first standard deviation and a preset second standard deviation, and reduces the number of error data classifications when the degree of discreteness of the error data is small, thereby overcoming the problem of unsmooth display output that may be caused by relatively concentrated error data. Therefore, the classification of error data is reduced to update the erroneous data more smoothly.

[0019] Furthermore, the present invention sets an update cycle for visualization data and increases the update cycle for visualization data when the degree of discreteness of error data is large, thereby overcoming possible congestion in system operation caused by using the original update cycle to update visualization data when the degree of discreteness of error data is large, and achieving a balance between error data screening and system operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is an overall structural diagram of a multi-dimensional engineering project quality data visualization management system according to an embodiment of the present invention; Figure 2 It is a structural block diagram of a data processing module based on a multi-dimensional engineering project quality data visualization management system according to an embodiment of the present invention; Figure 3 It is a connection structure block diagram of the cleaning unit based on the multi-dimensional engineering project quality data visualization management system according to an embodiment of the present invention; Figure 4 This is a control logic flow chart of an embodiment of the present invention based on a multi-dimensional engineering project quality data visualization management system. DETAILED DESCRIPTION

[0021] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0023] It will be understood by those skilled in the art that, unless otherwise stated, the singular forms "a", "an" and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in this specification refers to the presence of features, integers, steps, operations, elements / components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements / components. It should be understood that when we refer to a module as being "connected" or "coupled" to another module, it may be directly connected or coupled to the other module, or there may be an intermediate unit. In addition, "connected" or "coupled" used herein may include wireless connection or wireless coupling.

[0024] See also Figure 1 , Figure 2 , Figure 3 as well as Figure 4 As shown, they are respectively the overall structure block diagram of the multi-dimensional engineering project quality data visualization management system according to the embodiment of the present invention, the structure block diagram of the data processing module, the connection structure block diagram of the cleaning unit and the control logic flow chart. A multi-dimensional engineering project quality data visualization management system according to the embodiment of the present invention comprises: A data collection module is used to collect basic construction feature data of the construction site, wherein the basic construction feature data includes construction structure information, actual completion time of the project, construction quality compliance rate, and consumption of materials at the construction site; A data processing module, which is connected to the data acquisition module and includes a screening unit for screening error data in the construction feature basic data and outputting construction feature target data; A data analysis module, connected to the data processing module, for converting the construction characteristic target data into visual data; A control module is connected to the data acquisition module, the data processing module and the data analysis module respectively, and is used to determine the number of quality sampling points according to the actual completion time of the project, determine the screening method of the error data according to the integrity and validity of the construction structure information, and determine the state of the error data output by the visualization data display according to the standard deviation of the error data to determine whether to execute the visualization correction method. Among them, the screening method includes restoring the three-dimensional structure diagram of the construction area according to the construction structure information to locate the error position or determining the error data according to the process rationality evaluation parameters of the construction process; the visualization correction method includes adjusting the classification number of error data or adjusting the update cycle of visualization data.

[0025] Specifically, the construction structure information includes the actual height of each side wall of the construction object, the completed horizontal surface construction area, and the window installation area of ​​the construction object.

[0026] Specifically, the technical means for converting construction feature target data into visualization data include data processing, feature extraction and model selection of the construction feature target data; the means for data processing of the construction feature target data include data classification and data calculation of the construction feature target data.

[0027] Specifically, the types of the construction feature target data and the construction feature basic data are the same, and the error data in the construction feature target data is less than that in the construction feature basic data.

[0028] In implementation, the present invention sets a data acquisition module, a data processing module, a data analysis module and a control module. The control module adjusts the number of quality sampling points according to the project completion time, thereby overcoming the problem of premature completion due to unqualified project quality and realizing real-time monitoring of construction quality. By restoring the three-dimensional structure diagram of the construction area to locate error data, the problem of being unable to quantitatively monitor construction quality is overcome, and it is convenient to locate and repair error data.

[0029] Specifically, the visualized data includes statistical tables, line graphs, and bar graphs.

[0030] Specifically, the data processing module further includes a cleaning unit connected to the screening unit for removing the error data.

[0031] Specifically, the control module is connected to the data acquisition module to obtain the actual completion time of the project, determine whether the quality risk meets the requirements based on the actual completion time of the project, and increase the number of quality sampling points when the actual completion time of the project is less than the preset completion time.

[0032] Specifically, the increase in the number of quality sampling points is determined by the difference between the preset completion time and the actual completion time of the project; the value range of the preset completion time is determined according to the specific circumstances of different construction projects, and its optional range will not be repeated here.

[0033] In a specific embodiment, the preset completion time is 365 days, and the actual completion time of the project is 345 days. For every 5 days that the actual completion time of the project is less than the preset completion time, the number of quality sampling points increases by 1 compared with the current number of quality sampling points. The current number of quality sampling points is 8, and the increased number of sampling points is 8 + (365-345) / 5 = 12.

[0034] In implementation, the present invention sets a preset completion time and adjusts the number of quality sampling points according to the actual completion time of the project. This overcomes the situation where the internal structure quality of the construction project does not meet the standards due to the construction workers completing the work too quickly, thereby causing structural defects and increasing the risk of accidents. It helps to optimize the rationality of construction and reduce delays in construction due to rework caused by quality problems.

[0035] Specifically, the control module is connected to the data acquisition module and the data processing module respectively, and is used to restore the three-dimensional structure diagram of the construction area according to the construction structure information to locate the error position under the condition that the information type of the construction structure information is the same as the information type of the complete building structure information and the construction structure information is valid information.

[0036] Specifically, the process of restoring the three-dimensional structure diagram of the construction area according to the construction structure information is a conventional technical means well known to those skilled in the art, for example, BIM modeling can be used, so the process of restoring the three-dimensional structure diagram of the construction area will not be repeated here.

[0037] Specifically, when the value range of the construction structure information is within the standard value range, the construction structure information is determined to be valid information.

[0038] Specifically, under the condition that the information type of the construction structure information is not completely the same as the information type of the complete building structure information or the construction structure information is invalid information, the control module determines the error data according to the process rationality evaluation parameters of the construction process.

[0039] Specifically, when the value range of the construction structure information is not within the standard value range, the construction structure information is determined to be invalid information.

[0040] In implementation, the present invention sets process rationality evaluation parameters for the construction process and judges error data based on the material consumption rate, the actual completion time of the project, and the construction area, thereby overcoming the situation where the construction process is unqualified due to improper operation of personnel during the construction process, thereby leading to unqualified project quality; it overcomes the problem that the construction quality cannot be monitored through the three-dimensional structure when the construction structure information cannot constitute the overall structure of a house, and realizes a more comprehensive positioning of the error data.

[0041] Specifically, the process rationality evaluation parameter of the construction process is the sum of the product of the material consumption rate and the weight coefficient of the material consumption rate and the product of the quality acceptance compliance rate and the weight coefficient of the quality acceptance compliance rate; Among them, if the process rationality evaluation parameter is greater than the preset evaluation parameter, the material consumption rate and the quality acceptance compliance rate are determined to be error data.

[0042] Specifically, the material consumption rate is the ratio of the total material consumption to the actual completion time of the project, the quality acceptance compliance rate is the ratio of the number of qualified quality acceptances to the number of quality acceptances, and the sum of the weight coefficient of the material consumption rate and the weight coefficient of the quality acceptance compliance rate is 1; Among them, the preferred embodiment of the weight coefficient of the material consumption rate is 0.4, and the preferred embodiment of the weight coefficient of the quality acceptance compliance rate is 0.6.

[0043] Optionally, the value range of the preset evaluation parameter may be [30.69, 60.88]; Preferably, the preferred embodiment of the preset evaluation parameter is 38; In one or more specific embodiments, the total material consumption is 3000KG, the actual completion time of the project is 30 days, the number of quality acceptance failures is 1, and the number of quality acceptances is 6. The process rationality evaluation parameter of the construction process is (3000÷30)×0.4+(1÷6)×0.6=40.1, which is greater than the preset evaluation parameter, and the data is determined to be error data.

[0044] Specifically, the control module determines that the error data output by the visual data display is in a concentrated state under the condition that the standard deviation of the error data is greater than or equal to a preset first standard deviation and less than a preset second standard deviation, thereby reducing the number of classifications of the error data; Among them, the types of error data include measurement errors caused by the environment, transmission errors caused by signal interference, calculation errors caused by improper weight coefficient settings, and sampling errors caused by improper sampling point selection.

[0045] Specifically, taking the cement consumption at the construction site as an example, error data within an update cycle is collected and the standard deviation of the error data is calculated. The calculation method of the standard deviation of the error data is a conventional technical means well known to technical personnel in this field, so the calculation process of the standard deviation of the error data will not be repeated here.

[0046] Optionally, the preset value range of the first standard deviation may be [1kg, 3kg], and the preset value range of the second standard deviation may be [3kg, 5kg]; Preferably, the preferred embodiment of the preset first standard deviation is 1.5 kg, and the preferred embodiment of the preset second standard deviation is 3.5 kg; In a specific embodiment, the standard deviation of the error data is 1.8kg, which is greater than the preset first standard deviation and less than the preset second standard deviation. Every time the standard deviation of the error data exceeds the preset first standard deviation by 0.3kg, the number of categories of the error data is reduced by 1 compared with the current number of categories of the error data. The current number of categories of the error data is 8, and the reduced number of categories of the error data is 8-(1.8-1.5) / 0.3=7.

[0047] In implementation, the present invention determines the accuracy of the displayed output data according to the degree of discreteness of the error data by setting a preset first standard deviation and a preset second standard deviation, and reduces the number of error data classifications when the degree of discreteness of the error data is small, thereby overcoming the problem of unsmooth display output that may be caused by relatively concentrated error data. Therefore, the classification of error data is reduced to update the erroneous data more smoothly.

[0048] Specifically, when the standard deviation of the error data is greater than or equal to the preset second standard deviation, the control module determines that the error data output by the visualization data display is in a dispersed state, and increases the update period of the visualization data.

[0049] Specifically, the update period of the visualization data is positively correlated with the standard deviation of the error data.

[0050] In a specific embodiment, the standard deviation of the error data is 4kg, which is greater than the preset second standard deviation. Every time the standard deviation of the error data exceeds the preset first standard deviation by 0.5kg, the update period of the visualization data is increased by 2min compared with the current update period. The current update period is 10min, and the increased update period is 10+2=12min.

[0051] In implementation, the present invention sets an update cycle for visualization data and increases the update cycle for visualization data when the degree of discreteness of error data is large. This overcomes possible congestion in system operation caused by using the original update cycle to update visualization data when the degree of discreteness of error data is large, and achieves a balance between error data screening and system operation efficiency.

[0052] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A multi-dimensional engineering project quality data visualization management system, characterized in that: include: A data collection module is used to collect basic construction feature data of the construction site, wherein the basic construction feature data includes construction structure information, actual completion time of the project, construction quality compliance rate, and consumption of materials at the construction site; A data processing module, which is connected to the data acquisition module and includes a screening unit for screening error data in the construction feature basic data and outputting construction feature target data; A data analysis module, connected to the data processing module, for converting the construction characteristic target data into visual data; A control module is connected to the data acquisition module, the data processing module and the data analysis module respectively, and is used to determine the number of quality sampling points according to the actual completion time of the project, determine the screening method of the error data according to the integrity and validity of the construction structure information, and determine the state of the error data output by the visualization data display according to the standard deviation of the error data to determine whether to execute the visualization correction method. Among them, the screening method includes restoring the three-dimensional structure diagram of the construction area according to the construction structure information to locate the error position or determining the error data according to the process rationality evaluation parameters of the construction process; the visualization correction method includes adjusting the classification number of error data or adjusting the update cycle of visualization data.

2. The multi-dimensional engineering project quality data visualization management system according to claim 1 is characterized in that: The data processing module also includes a cleaning unit connected to the screening unit for removing the error data.

3. The multi-dimensional engineering project quality data visualization management system according to claim 2 is characterized in that: The control module is connected to the data acquisition module to obtain the actual completion time of the project, determine whether the quality risk meets the requirements based on the actual completion time of the project, and increase the number of quality sampling points when the actual completion time of the project is less than the preset completion time.

4. The multi-dimensional engineering project quality data visualization management system according to claim 3 is characterized in that: The increase in the number of the quality sampling points is determined by the difference between the preset completion time and the actual completion time of the project.

5. The multi-dimensional engineering project quality data visualization management system according to claim 4 is characterized in that: The control module is connected to the data acquisition module and the data processing module respectively, and is used to restore the three-dimensional structure diagram of the construction area according to the construction structure information to locate the error position under the condition that the information type of the construction structure information is the same as the information type of the complete house structure information and the construction structure information is valid information.

6. The multi-dimensional engineering project quality data visualization management system according to claim 5, characterized in that: The control module determines error data according to a process rationality evaluation parameter of the construction process under the condition that the information type of the construction structure information is not completely the same as the information type of the complete building structure information or the construction structure information is invalid information.

7. The multi-dimensional engineering project quality data visualization management system according to claim 6 is characterized in that: The process rationality evaluation parameter of the construction process is the sum of the product of the material consumption rate and the weight coefficient of the material consumption rate and the product of the quality acceptance compliance rate and the weight coefficient of the quality acceptance compliance rate; Among them, if the process rationality evaluation parameter is greater than the preset evaluation parameter, the material consumption rate and the quality acceptance compliance rate are determined to be error data.

8. The multi-dimensional engineering project quality data visualization management system according to claim 7, characterized in that: The control module determines that the error data output by the visualization data display is in a concentrated state under the condition that the standard deviation of the error data is greater than or equal to a preset first standard deviation and less than a preset second standard deviation, thereby reducing the number of classifications of the error data.

9. The multi-dimensional engineering project quality data visualization management system according to claim 8, characterized in that: The control module determines that the error data output by the visualization data display is in a scattered state when the standard deviation of the error data is greater than or equal to the preset second standard deviation, and increases the update period of the visualization data.

10. The multi-dimensional engineering project quality data visualization management system according to claim 9, characterized in that: The update period of the visualization data is positively correlated with the standard deviation of the error data.

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