A construction data collection and management method and system

Abstract

The present invention relates to the technical field of electronic digital data processing, and in particular to a method and system for collecting and managing construction data, the method comprising: determining a construction data space composed of multi-dimensional data points in each time period; determining the degree of similarity of data changes between the current time period and any target time period multi-dimensional data points; determining the similarity of the same parameters at the corresponding moments of the current time period and the target time period, and determining the construction approximation index of the current time period and the target time period by using the similarity of the data changes and the similarity of the same parameters; determining the time interval between the current time period and the target time period, and determining the construction progress reference index of the target time period relative to the current time period by using the construction approximation index and the time interval; determining the detection construction progress corresponding to each dimensional parameter, and determining the standard construction progress at the current moment by using the construction progress reference index and the detection construction progress. Through the construction data collection and management method of the present invention, the comprehensive and accurate identification of the construction progress is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a method and system for collecting and managing building construction data. Background Art

[0002] With the development of intelligence, the construction industry also collects and manages construction data in an intelligent way, among which the most commonly used is BIM (Building Information Modeling) technology. BIM technology is based on the concept and method of three-dimensional modeling, integrating the information in the process of building design, construction and management into a comprehensive model; it realizes comprehensive monitoring and management of the construction process by combining the building model with the construction plan.

[0003] BIM technology integrates relevant data from multiple disciplines and equipment to obtain construction progress, and associates it with the building model to monitor the progress of construction projects, predict potential delays, and adjust construction plans in a timely manner. Currently, the commonly used methods for obtaining construction progress are manual observation data and sensor monitoring technology. For sensor monitoring technology, there are many types of sensors and their working principles are different. This leads to inconsistencies in the monitoring of construction progress by different sensors, affecting the accurate identification of construction progress. Summary of the invention

[0004] In order to solve the technical problem that the construction progress monitored by sensors in BIM is easily inconsistent, which affects the accurate identification of the construction progress, the purpose of the present invention is to provide a construction data collection and management method and system, and the technical scheme adopted is as follows:

[0005] The present invention provides a method for collecting and managing building construction data, the method comprising:

[0006] Determine the construction data space composed of multi-dimensional data points in each time period;

[0007] Determine the similarity of data changes of multi-dimensional data points between the current period and any target period;

[0008] Determine the similarity of the same parameters at the corresponding moments between the current period and the target period, and use the similarity of data changes and the similarity of the same parameters to determine the construction approximation index between the current period and the target period;

[0009] Determine the time interval between the current period and the target period, and use the approximate construction index and the time interval to determine the construction progress reference index of the target period relative to the current period;

[0010] Determine the inspection construction progress corresponding to each dimension parameter, and use the construction progress reference index and the inspection construction progress to determine the standard construction progress at the current moment;

[0011] Among them, each time period represents a time period of preset data collection duration; and a multi-dimensional data point is composed of multiple dimensional parameters.

[0012] Furthermore, the step of determining the similarity of data changes of multi-dimensional data points between the current period and any target period includes:

[0013] Determine a current pointing vector between a multi-dimensional data point in a current period and its adjacent multi-dimensional data points;

[0014] Determine a target pointing vector between a multidimensional data point at a time corresponding to the target period and the current period and its adjacent multidimensional data points;

[0015] The similarity between the current pointing vector and the target pointing vector is used to obtain the similarity of data changes.

[0016] Furthermore, the step of determining the similarity of the same parameters at corresponding moments between the current time period and the target time period includes:

[0017] Determine the current parameter value of any parameter at any time in the current period, and determine the target parameter value of the same parameter at the corresponding time in the target period and the current period;

[0018] The parameter difference between the current parameter value and the target parameter value is used to determine the similarity of the same parameters at corresponding moments between the current period and the target period.

[0019] Furthermore, the steps of determining the construction approximation index between the current period and the target period by using the similarity of data changes and the similarity of the same parameters include:

[0020] The similarity of the construction status between the current period and the target period is determined by using the mean values ​​corresponding to the similarities of the same parameters;

[0021] The similarity of data changes and construction status is used to determine the construction approximation indicators between the current period and the target period.

[0022] Furthermore, the step of determining the construction progress reference index of the target period relative to the current period by using the construction approximate index and the interval time includes:

[0023] Using the time interval, determine the possibility that the target period and the current period are in the same construction phase;

[0024] The construction approximate indicators are weighted using the possibility of the same construction stage, and the reference indicator of the construction progress of the target period relative to the current period is calculated.

[0025] Furthermore, before the step of determining the construction progress reference index of the target period relative to the current period by using the construction approximate index and the interval time, the method further includes:

[0026] comparing the construction approximation index with a preset construction approximation threshold;

[0027] If the construction approximation index is greater than or equal to the preset construction approximation threshold, it is determined that the current period and the target period are in similar construction status;

[0028] If the construction approximation index is less than the preset construction approximation threshold, it is determined that the current period and the target period are in different construction states;

[0029] The target time period with similar construction status is retained, and the step of determining the construction progress reference index of the target time period relative to the current time period is performed by using the construction approximate index and the time interval.

[0030] Furthermore, the step of determining the standard construction progress at the current moment by using the construction progress reference index and the detection construction progress includes:

[0031] Determine the current single-dimensional detection construction progress of the current period and the target single-dimensional detection construction progress of the target period;

[0032] Using the construction progress reference index, the current single-dimensional detection construction progress and the target single-dimensional detection construction progress, the single-dimensional theoretical construction progress of each dimension at the current moment is calculated;

[0033] Using the current single-dimensional detection construction progress, determine the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment;

[0034] The standard construction progress at the current moment is calculated by using the single-dimensional theoretical construction progress, the single-dimensional proportional relationship, and the current single-dimensional detection construction progress in the current single-dimensional detection construction progress.

[0035] Furthermore, the step of calculating the single-dimensional theoretical construction progress of each dimension at the current moment by using the construction progress reference index, the current single-dimensional detection construction progress, and the target single-dimensional detection construction progress includes:

[0036] Determine the construction progress difference from the starting point to the end point corresponding to the target single-dimensional detection construction progress;

[0037] The construction progress reference index is used to weight the construction progress difference, and the weighted construction progress difference and the current single-dimensional detection construction progress are used to calculate the single-dimensional theoretical construction progress in each dimension at the current moment.

[0038] Furthermore, the step of using the current single-dimensional detection construction progress to determine the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment includes:

[0039] By using the current single-dimensional detection construction progress, the total number of dimensions and the manually determined construction progress in the current single-dimensional detection construction progress, the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment is calculated.

[0040] The present invention also provides a construction data collection and management system, the system is used to implement the construction data collection and management method as described in any one of the above items; the system comprises:

[0041] A data acquisition module is used to determine the construction data space composed of multi-dimensional data points in each time period;

[0042] The data comparison module is used to determine the similarity of data changes of multi-dimensional data points between the current period and any target period; determine the similarity of the same parameters at corresponding moments between the current period and the target period, and use the similarity of data changes and the similarity of the same parameters to determine the construction approximation index between the current period and the target period;

[0043] The progress reference module is used to determine the time interval between the current period and the target period, and to determine the construction progress reference index of the target period relative to the current period by using the construction approximate index and the time interval;

[0044] The progress prediction module is used to determine the detection construction progress corresponding to each dimensional parameter, and determine the standard construction progress at the current moment by using the construction progress reference index and the detection construction progress;

[0045] Among them, each time period represents a time period of preset data collection duration; and a multi-dimensional data point is composed of multiple dimensional parameters.

[0046] The present invention has the following beneficial effects:

[0047] Traditional construction data is detected by laser scanning or visual modeling, but the construction progress obtained by this detection is only a single-dimensional detection, which is somewhat one-sided. The present invention jointly judges the progress of the construction project through multiple dimensions, avoiding the inaccurate detection of the construction progress in a single dimension and reducing the occurrence of multiple inspections and comparisons in the later stage.

[0048] The present invention first selects time periods similar to the current construction status based on the construction equipment data and environmental data monitored (detected) by sensors recently, and calculates the predicted value of the current construction progress based on the changes in the construction progress in these time periods; and corrects the current actual detection progress value based on these predicted values. This can effectively reduce the error ratio of the current detected data and avoid false reports of the construction progress caused by the current detection failure.

[0049] According to the construction progress of multiple dimensions at each moment and the actual construction progress, the proportional relationship between the multi-dimensional construction progress and the actual construction progress is fitted and analyzed; the construction progress at the current moment is fitted by combining the proportional relationship with the correction value of the construction progress of each dimension. The limitations caused by detecting the construction progress from a single dimension can be effectively avoided. In addition, when determining the construction progress, the present invention introduces multi-party data, involving many fields, and flexibly uses each data, avoiding the generation of information data islands where the data of a field is only used in the field, thereby improving the comprehensive and accurate identification of the construction progress.

[0050] The multi-dimensional data points in the present invention are combined with various environmental monitoring sensors, equipment monitoring sensors and other sensor technologies to jointly detect the construction progress, avoiding the misjudgment of the progress caused by a single sensor detecting the construction situation. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A flowchart of a method for collecting and managing construction data provided by an embodiment of the present invention;

[0053] Figure 2 A detailed flow chart of step S2 in a construction data collection and management method provided by one embodiment of the present invention;

[0054] Figure 3 A detailed flow chart of step S3 in a construction data collection and management method provided by one embodiment of the present invention;

[0055] Figure 4 A detailed flow chart of step S5 in a construction data collection and management method provided by one embodiment of the present invention;

[0056] Figure 5A schematic diagram of the structure of the hardware operating environment of the construction data collection and management device involved in the embodiment of the present invention;

[0057] Figure 6 It is a schematic diagram of the framework structure of the construction data collection and management system involved in the embodiment of the present invention. DETAILED DESCRIPTION

[0058] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a construction data collection and management method proposed by the present invention, its specific implementation method, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0059] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0060] The specific scheme of the construction data collection and management method provided by the present invention is described in detail below with reference to the accompanying drawings.

[0061] Embodiment 1:

[0062] For a construction data collection and management method provided by the present invention, please refer to Figure 1 , which shows a flowchart of the steps of a construction data collection and management method provided by an embodiment of the present invention.

[0063] Among them, each time period represents a time period of preset data collection duration; and a multi-dimensional data point is composed of multiple dimensional parameters.

[0064] The method comprises:

[0065] Step S1, determining a construction data space composed of multi-dimensional data points in each time period;

[0066] The application of BIM technology in building construction requires the installation of multiple sensors throughout the building to collect construction-related data and then analyze and process the data.

[0067] Specifically:

[0068] First, you can collect various design documents related to the construction project through the project party and the construction party, including architectural design drawings (floor plans, plan drawings, etc.), structural design drawings (steel structure drawings, reinforced concrete design drawings and other detailed design drawings), electrical design drawings and mechanical design drawings (electrical wiring diagrams, water heating system design drawings). At the same time, collect many construction documents, including detailed construction process drawings, detailed lists of various engineering quantities, and detailed construction schedules and timetables.

[0069] Secondly, various environmental monitoring sensors, behavior perception sensors and equipment monitoring sensors are installed on construction sites and construction equipment, such as temperature sensors, humidity sensors, visual sensors, vibration sensors, gyroscopes, laser sensors and many other sensors, to collect environmental parameters such as temperature, humidity, wind speed and other environmental parameters of the construction site, as well as the operating status of various construction equipment. And the construction situation of the construction site is monitored through visual sensors and laser sensors and other equipment. Among them, the collection frequency of the sensor can be preset to 1 time / second; the collection time range is: from the start of construction to the current time point.

[0070] The parameters collected by each sensor can be defined as a type, that is, a parameter of a dimension. Thus, relevant information of several types and dimensions of parameters is collected.

[0071] The problems and uses of setting multiple sensors to collect parameters in multiple dimensions are:

[0072] Since each sensor has a different working principle when detecting relevant data, and different sensors monitor different data, that is, they focus on different aspects, this leads to different construction progress detected by different sensors. Therefore, the present invention analyzes the construction situation, processes the multi-dimensional construction progress obtained by the detection, and obtains the corrected construction progress.

[0073] During construction, if the construction team remains unchanged and similar construction methods are used to complete similar construction tasks, the time consumed will be similar, and the progress change process of the construction will be approximately the same. At the same time, the comparison between the construction progress detected by each sensor group and the actual construction progress in the past time is also approximately the same. That is, the detected progress is compared and corrected based on the construction status in the current period of time.

[0074] For step S1, the operation of a specific embodiment is as follows:

[0075] When carrying out construction, it is usually carried out in an outdoor environment, so the outdoor environment has a great impact on the state of construction. For example, the construction speed in rainy weather is often much slower than that in sunny weather, or even stops completely; in addition, when carrying out the same construction task, different construction methods and different construction equipment will also lead to changes in the construction speed. In other words, different construction environments and different equipment operation conditions will lead to different changes in the state of construction. Based on this, the corresponding construction state is divided according to various parameters.

[0076] First, retrieve the data collected by various environmental monitoring sensors and equipment monitoring sensors. Construct a multi-dimensional high-dimensional data space. Each type of parameter collected by a sensor is a dimension. The many sensor parameters collected at each moment constitute a data point (in the form of a set). That is, the data point is composed of parameters of multiple dimensions and is defined as a multi-dimensional data point.

[0077] Due to different environments and different equipment operation conditions, the construction speed is different, so the above data points can describe the construction conditions at the corresponding moment, and the data points are recorded as the construction status points at a certain moment. In addition, since the high-dimensional data space is constructed through various data dimensions during construction, and the data in it is used to describe the construction status, it can be recorded as the construction status space.

[0078] Secondly, since the construction status at a single moment can only represent the construction situation at the corresponding moment, and the construction situation at a single moment cannot determine the progress of the construction, that is, a single construction status point can only describe how it is constructed, but cannot describe how much it has been constructed. Therefore, the above-mentioned construction status space and construction status points are divided into several smaller data spaces according to the collection time. For example, each smaller data space can be divided into a set of data points with a preset data collection time (for example, 1 hour. It can be set according to actual needs), which is recorded as the construction data space of a certain period. In addition, the many construction status points (that is, data points) in the construction data space are connected in sequence according to the collection time to form a time series polyline, which is recorded as the construction status polyline of a certain period.

[0079] The use of this multidimensional space and spatial broken line method is more intuitive than directly using time series data and data values, and there is no need to calculate the differential sequence to characterize the changes in the data.

[0080] Step S2, determining the similarity of data changes of multi-dimensional data points between the current period and any target period;

[0081] In a specific embodiment, please refer to Figure 2 , the step S2 comprises:

[0082] Step S21, determining a current pointing vector between a multi-dimensional data point in the current period and its adjacent multi-dimensional data points;

[0083] Step S22, determining a target pointing vector between a multi-dimensional data point at a time corresponding to the target period and the current period and its adjacent multi-dimensional data point;

[0084] Step S23, using the similarity between the current pointing vector and the target pointing vector, obtain the degree of similarity of data changes.

[0085] Based on the embodiment corresponding to the above step S1, when the weather and other environments are the same and the same construction method is adopted to carry out construction, that is, when the environmental data and the operating data of the construction equipment at two moments are similar, the construction status at the two moments is approximately the same. In addition, when examining the construction status, the construction process should generally be consistent, that is, the change process of the environmental data and the equipment data is also consistent in the two time periods. Therefore, the similarity of the construction status of the two time periods can be judged by the similarity of the construction status point distribution and the construction status polyline in the building construction data space of the two time periods.

[0086] Calculate the construction change factor of the data changes between the corresponding time periods of two time periods, that is, the similarity of the data changes:

[0087]

[0088] This formula and construction variation factor Used to represent data segments With data segment The corresponding A data point and its next data point The degree of consistency of data changes is defined as the degree of similarity of data changes. The above data segment refers to the construction data space.

[0089] In the formula, Indicates the current period Corresponding construction status points in the building construction data space To the next construction status point The pointing vector (i.e. the first The vector corresponding to the segment polyline, here defined as the current pointing vector); Indicates the target period Corresponding construction status points in the building construction data space To the next construction status point The pointing vector of is defined as the target pointing vector; It means calculating the cosine similarity of the above two vectors, so as to obtain the similarity of data changes between the current period and any target period.

[0090] Step S3, determining the similarity of the same parameters at corresponding moments between the current period and the target period, and determining the construction approximation index between the current period and the target period using the similarity of data changes and the similarity of the same parameters;

[0091] For details, please refer to Figure 3 , the step of determining the similarity of the same parameters between the current period and the target period at the corresponding time includes:

[0092] Step S31, determining the current parameter value of any parameter at any time in the current period, and determining the target parameter value of the same parameter at the corresponding time in the target period and the current period;

[0093] Step S32, using the parameter difference between the current parameter value and the target parameter value, determine the similarity of the same parameter at corresponding moments between the current time period and the target time period.

[0094] Specifically, the steps of determining the construction approximation index between the current period and the target period by using the similarity of data changes and the similarity of the same parameters include:

[0095] The similarity of the construction status between the current period and the target period is determined by using the mean values ​​corresponding to the similarities of the same parameters;

[0096] The similarity of data changes and construction status is used to determine the construction approximation indicators between the current period and the target period.

[0097] Calculate the current period With any target period Approximate construction indicators:

[0098]

[0099] This formula is similar to the construction index It is used to characterize the similarity of the construction status of two time periods. This formula examines the similarity between the same parameters at the corresponding moments of the two time periods and weights this similarity by the similarity of data changes.

[0100] In the formula, Indicates the current period Corresponding construction status points in the building construction data space (Period data points) The current parameter value of the parameter; Indicates the target period Corresponding construction status points in the building construction data space No. The target parameter value of the parameter; Indicates inverse proportional normalization, which is used to describe the similarity (similarity) of the same parameters at time points corresponding to different time periods; It represents the mean value, which is used to calculate the mean of the similarity of multiple parameters of the same type, that is, it is used to describe the similarity of the corresponding construction status in two time periods. It can be considered that the above process first traverses different construction status points ,from =1Traverse to =N, and then calculate the mean of the corresponding N calculation results; The construction change factor that represents the data change between the corresponding moments of two time periods (the degree of similarity of data change); It is used for inverse proportional normalization and to describe the similarity of corresponding broken line segments in two time periods in the data space, that is, the similarity of the construction status and its changes at two corresponding moments; It means calculating the mean of the function values ​​corresponding to many moments, that is, first calculating the similarity between the construction status at each moment and its change (the similarity of data change and the similarity of construction status), and then calculating its mean.

[0101] Step S4, determining the time interval between the current period and the target period, and determining the construction progress reference index of the target period relative to the current period using the construction approximate index and the time interval;

[0102] In one embodiment, before step S4, the method further includes:

[0103] comparing the construction approximation index with a preset construction approximation threshold;

[0104] If the construction approximation index is greater than or equal to the preset construction approximation threshold, it is determined that the current period and the target period are in similar construction status;

[0105] If the construction approximation index is less than the preset construction approximation threshold, it is determined that the current period and the target period are in different construction states;

[0106] The target time period with similar construction status is retained, and the step of determining the construction progress reference index of the target time period relative to the current time period is performed by using the construction approximate index and the time interval.

[0107] Based on the above embodiment, all time periods are traversed, and the construction approximation index of each target time period and the current time period is calculated. By presetting the construction approximation threshold Filter the corresponding construction approximate indicators, such as preset If the construction approximation index is greater than or equal to the threshold , then the construction status of the corresponding target period is considered to be approximately consistent with the current construction status, that is, similar construction status, and these periods can be recorded as the same construction period. Otherwise, they are different construction status and different construction periods.

[0108] Next, we can only compare and calculate the construction data space between the target period with similar construction status and the current period, so as to save computing resources, improve the calculation speed, and avoid interference from irrelevant data as much as possible.

[0109] For step S4, specifically, the step of determining the construction progress reference index of the target period relative to the current period by using the construction approximate index and the time interval includes:

[0110] Using the time interval, determine the possibility that the target period and the current period are in the same construction phase;

[0111] The construction approximate indicators are weighted using the possibility of the same construction stage, and the reference indicator of the construction progress of the target period relative to the current period is calculated.

[0112] Considering that as the construction progresses, the construction technology and materials involved in different construction stages are different, even when the weather and construction methods are similar, the construction progress will be different. Therefore, the closer to the current time, the higher the possibility that the construction stages corresponding to the two time periods are the same, and the better the consistency of the changes in their construction progress. And the more similar the construction status of the two time periods is, the more consistent the changes in the corresponding construction progress are. Therefore, any target time period For the current period Construction progress reference indicators :

[0113]

[0114] This formula and the construction progress reference index To characterize the target period The referenceability to the data of the current period is used to describe the possibility that the construction phases of the two construction phases are the same.

[0115] In the formula, Indicates the current period Any time period Approximate construction indicators; Indicates the length of time between two time periods (distance), that is, any target time period With the current period The difference between the corresponding times, for example, the difference between the start times of the two time periods, that is, the selected target time period The distance from the current time period; It is used for inverse proportional normalization, to describe the possibility that two time periods are in the same construction stage, and to weight the construction approximation index by this possibility; Used for normalization of positive proportion.

[0116] Step S5, determining the detection construction progress corresponding to each dimensional parameter, and determining the standard construction progress at the current moment by using the construction progress reference index and the detection construction progress;

[0117] For details, please refer to Figure 4 The steps of using the construction progress reference index and the detection construction progress to determine the standard construction progress at the current moment include:

[0118] Step S51, determining the current single-dimensional detection construction progress of the current period and the target single-dimensional detection construction progress of the target period;

[0119] Step S52, using the construction progress reference index, the current single-dimensional detection construction progress, and the target single-dimensional detection construction progress, calculate the single-dimensional theoretical construction progress in each dimension at the current moment;

[0120] More specifically, step S52 includes:

[0121] Determine the construction progress difference from the starting point to the end point corresponding to the target single-dimensional detection construction progress;

[0122] The construction progress reference index is used to weight the construction progress difference, and the weighted construction progress difference and the current single-dimensional detection construction progress are used to calculate the single-dimensional theoretical construction progress in each dimension at the current moment.

[0123] Through the monitoring of the environment and equipment, after screening out the relevant time periods with similar construction status, the construction speed (changes in construction progress) is also relatively stable under similar construction status, that is, the construction speed obtained from monitoring at different angles is similar at each angle. Therefore, at the current moment Detected in dimension The fitted single-dimensional theoretical construction progress on is:

[0124]

[0125] This formula is used to predict the construction progress at the current moment by using the construction progress difference at the past moment in a single dimension.

[0126] In the formula, Indicated in dimension Current time Theoretical construction progress (single-dimensional theoretical construction progress); Representation Dimension The time of the current period The construction progress detected at the time (included in the current single-dimensional detection construction progress), that is, the current period Inspection construction progress at the moment before the starting moment; Indicates the same construction period The corresponding end time In Dimension The detection construction progress on (included in the target single-dimension detection construction progress); Indicates the same construction period The corresponding starting time In Dimension The detection construction progress on (included in the target single-dimension detection construction progress); Indicates any period of time For the current period Construction progress reference indicators; It means calculating the weighted mean of the construction progress differences in many time periods, that is, first calculate the construction progress differences in different time periods, and then calculate the weighted mean of the progress differences. The weight is the reference index of the corresponding time period. The above period For the current period The length of the time periods is the same.

[0127] Step S53, using the current single-dimensional detection construction progress, determining the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment;

[0128] More specifically, step S53 includes:

[0129] By using the current single-dimensional detection construction progress, the total number of dimensions and the manually determined construction progress in the current single-dimensional detection construction progress, the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment is calculated.

[0130] Since there is a construction progress obtained by laser scanning, visual sensing detection and other sensor technologies in each period, there is a relatively stable correspondence between these obtained progress and the actual construction progress, that is, the proportional relationship between the construction speed obtained in each dimension and the actual construction speed is also consistent. Based on this, construct the current moment Fitting multidimensional construction schedule:

[0131]

[0132] This formula uses the regression fitting method to analyze the proportional relationship between the detected construction progress and the actual construction progress in many dimensions at each moment.

[0133] In the formula, Indicates the current time The construction progress determined by the experts or construction team; Representation Dimension The progress correction factor used to describe the dimension The proportional relationship between the detected construction progress and the actual construction progress, that is, the one-dimensional proportional relationship; Representation Dimension Current time Detected construction progress (single-dimensional detection of construction progress at the current moment); Represents the total number of dimensions for monitoring construction progress (total number of dimensions).

[0134] Step S54, using the single-dimensional theoretical construction progress, the single-dimensional proportional relationship, and the single-dimensional detection construction progress at the current moment in the current single-dimensional detection construction progress, calculate the standard construction progress at the current moment.

[0135] Retrieve all the human-defined construction progress at all times in the same construction period, as well as the construction progress detected in each dimension (recorded here as aspect progress, that is, detection construction progress), and then bring the human-defined construction progress and aspect progress into the multi-dimensional construction progress fitting formula to obtain the progress correction factor of each dimension. (That is, calculate the progress correction factor of each dimension through linear regression , which refers to the above-mentioned proportional relationship).

[0136] After calculating the ratio of the detected construction progress to the actual construction progress in each dimension through the linear regression method, that is, obtaining the progress correction factor, the construction progress obtained by detecting each dimension at the current moment is corrected according to the theoretical construction progress in each dimension at the current moment calculated as above, and the standard construction progress at the current moment is calculated according to the multi-dimensional construction progress fitting formula.

[0137] Calculate the current time Standard construction schedule :

[0138]

[0139] This formula corrects the current construction progress through the theoretical construction progress at the current moment predicted by different dimensions, and fits the standard construction progress at the current moment through the relationship between the detected construction progress and the actual construction progress of each dimension fitted previously.

[0140] In the formula, Represents the total number of dimensions for monitoring construction progress (total number of dimensions); Representation Dimension Progress correction factor (proportional relationship); Representation Dimension Current time Theoretical construction progress; Indicated in dimension Current time Check construction progress in real time; Representation Dimension The theoretical progress weight of the theoretical construction progress on this dimension is used to describe the accuracy of the theoretical construction progress on this dimension and the detected construction progress on the actual construction progress. (The theoretical progress weight can also be obtained based on neural network training or linear regression. The training set can be the past standard construction progress, manually determined construction progress, theoretical construction progress in various dimensions, and detected construction progress).

[0141] At this point, the standard construction progress at the current moment is obtained as the analysis and identification result of the final actual construction progress.

[0142] After obtaining the above-mentioned revised standard construction progress, it is input into the construction data management system corresponding to BIM, a three-dimensional model is established through the numerous construction drawings obtained, and it is marked in the model according to the construction progress. Then, the construction personnel are managed and scheduled according to the real-time construction progress.

[0143] The present invention first selects time periods similar to the current construction status based on the construction equipment data and environmental data monitored (detected) by sensors recently, and calculates the predicted value of the current construction progress based on the changes in the construction progress in these time periods; and corrects the current actual detection progress value based on these predicted values. This can effectively reduce the error ratio of the current detected data and avoid false reports of the construction progress caused by the current detection failure.

[0144] According to the construction progress of multiple dimensions at each moment and the actual construction progress, the proportional relationship between the multi-dimensional construction progress and the actual construction progress is fitted and analyzed; the construction progress at the current moment is fitted by combining the proportional relationship with the correction value of the construction progress of each dimension. The limitations caused by detecting the construction progress from a single dimension can be effectively avoided. In addition, when determining the construction progress, the present invention introduces multi-party data, involving many fields, and flexibly uses each data, avoiding the generation of information data islands where the data of a field is only used in the field, thereby improving the comprehensive and accurate identification of the construction progress.

[0145] The multi-dimensional data points in the present invention are combined with various environmental monitoring sensors, equipment monitoring sensors and other sensor technologies to jointly detect the construction progress, avoiding the misjudgment of the progress caused by a single sensor detecting the construction situation.

[0146] Embodiment 2:

[0147] The embodiment of the present invention also provides a construction data collection and management device. The construction data collection and management device can be a data calculation and processing device such as a computer, a server, or a combination of multiple devices.

[0148] like Figure 5 As shown, Figure 5 It is a structural diagram of the hardware operating environment of the construction data collection and management device involved in the embodiment of the present invention.

[0149] like Figure 5 As shown, the construction data acquisition management device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display (Display), an input unit such as a control panel, and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WIFI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001. The memory 1005 as a computer storage medium may include a construction data acquisition management program.

[0150] Those skilled in the art will understand that Figure 5 The hardware structure shown in the figure does not constitute a limitation of the device, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0151] Continue to refer to Figure 5 , Figure 5 The memory 1005 as a computer-readable storage medium may include an operating system, a user interface module, a network communication module, and a construction data acquisition management program.

[0152] exist Figure 5 In the embodiment, the network communication module is mainly used to connect to the server and can communicate data with the server; and the processor 1001 can call the construction data acquisition management program stored in the memory 1005 and execute the steps in the above embodiments.

[0153] The hardware structure of the above-mentioned construction data collection and management device is used to implement various embodiments of the construction data collection and management method of the present invention.

[0154] In addition, the present invention also provides a construction data collection and management system, please refer to Figure 6 , the construction data collection and management system comprises:

[0155] The data acquisition module A10 is used to determine the building construction data space composed of multi-dimensional data points in each time period;

[0156] The data comparison module A20 is used to determine the similarity of data changes of multi-dimensional data points between the current period and any target period; determine the similarity of the same parameters at corresponding moments between the current period and the target period, and determine the construction approximation index between the current period and the target period using the similarity of data changes and the similarity of the same parameters;

[0157] The progress reference module A30 is used to determine the time interval between the current period and the target period, and determine the construction progress reference index of the target period relative to the current period by using the construction approximate index and the time interval;

[0158] The progress prediction module A40 is used to determine the detection construction progress corresponding to each dimensional parameter, and determine the standard construction progress at the current moment by using the construction progress reference index and the detection construction progress;

[0159] Furthermore, the data comparison module A20 is also used for:

[0160] Determine a current pointing vector between a multi-dimensional data point in a current period and its adjacent multi-dimensional data points;

[0161] Determine a target pointing vector between a multidimensional data point at a time corresponding to the target period and the current period and its adjacent multidimensional data points;

[0162] The similarity between the current pointing vector and the target pointing vector is used to obtain the similarity of data changes.

[0163] Furthermore, the data comparison module A20 is also used for:

[0164] Determine the current parameter value of any parameter at any time in the current period, and determine the target parameter value of the same parameter at the corresponding time in the target period and the current period;

[0165] The parameter difference between the current parameter value and the target parameter value is used to determine the similarity of the same parameters at corresponding moments between the current period and the target period.

[0166] Furthermore, the data comparison module A20 is also used for:

[0167] The similarity of the construction status between the current period and the target period is determined by using the mean values ​​corresponding to the similarities of the same parameters;

[0168] The similarity of data changes and construction status is used to determine the construction approximation indicators between the current period and the target period.

[0169] Furthermore, the progress reference module A30 is also used for:

[0170] Using the time interval, determine the possibility that the target period and the current period are in the same construction phase;

[0171] The construction approximate indicators are weighted using the possibility of the same construction stage, and the reference indicator of the construction progress of the target period relative to the current period is calculated.

[0172] Furthermore, the progress reference module A30 is also used for:

[0173] comparing the construction approximation index with a preset construction approximation threshold;

[0174] If the construction approximation index is greater than or equal to the preset construction approximation threshold, it is determined that the current period and the target period are in similar construction status;

[0175] If the construction approximation index is less than the preset construction approximation threshold, it is determined that the current period and the target period are in different construction states;

[0176] The target time period with similar construction status is retained, and the step of determining the construction progress reference index of the target time period relative to the current time period is performed by using the construction approximate index and the time interval.

[0177] Furthermore, the progress prediction module A40 is also used for:

[0178] Determine the current single-dimensional detection construction progress of the current period and the target single-dimensional detection construction progress of the target period;

[0179] Using the construction progress reference index, the current single-dimensional detection construction progress and the target single-dimensional detection construction progress, the single-dimensional theoretical construction progress of each dimension at the current moment is calculated;

[0180] Using the current single-dimensional detection construction progress, determine the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment;

[0181] The standard construction progress at the current moment is calculated by using the single-dimensional theoretical construction progress, the single-dimensional proportional relationship, and the current single-dimensional detection construction progress in the current single-dimensional detection construction progress.

[0182] Furthermore, the progress prediction module A40 is also used for:

[0183] Determine the construction progress difference from the starting point to the end point corresponding to the target single-dimensional detection construction progress;

[0184] The construction progress reference index is used to weight the construction progress difference, and the weighted construction progress difference and the current single-dimensional detection construction progress are used to calculate the single-dimensional theoretical construction progress in each dimension at the current moment.

[0185] Furthermore, the progress prediction module A40 is also used for:

[0186] By using the current single-dimensional detection construction progress, the total number of dimensions and the manually determined construction progress in the current single-dimensional detection construction progress, the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment is calculated.

[0187] The specific implementation of the construction data collection and management system of the present invention is basically the same as the various embodiments of the above-mentioned construction data collection and management method, and will not be repeated here.

[0188] In addition, the present invention also provides a computer-readable storage medium. The computer-readable storage medium of the present invention stores a construction data collection management program, wherein when the construction data collection management program is executed by a processor, the steps of the construction data collection management method as described above are implemented.

[0189] Among them, the method implemented when the construction data collection and management program is executed can refer to the various embodiments of the construction data collection and management method of the present invention, and will not be repeated here.

[0190] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0191] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0192] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0193] The above description is only a preferred embodiment of the present invention, and does not limit the protection scope of the present invention. All equivalent structural / method transformations made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or direct / indirect application in other related technical fields are included in the protection scope of the present invention.

Claims

1. A construction data collection and management method, characterized in that: The method comprises: Determine the construction data space composed of multi-dimensional data points in each time period; Determine the similarity of data changes of multi-dimensional data points between the current period and any target period; Determine the similarity of the same parameters at the corresponding moments between the current period and the target period, and use the similarity of data changes and the similarity of the same parameters to determine the construction approximation index between the current period and the target period; Determine the time interval between the current period and the target period, and use the approximate construction index and the time interval to determine the construction progress reference index of the target period relative to the current period; Determine the inspection construction progress corresponding to each dimension parameter, and use the construction progress reference index and the inspection construction progress to determine the standard construction progress at the current moment; Among them, each time period represents a time period of preset data collection duration; and a multi-dimensional data point is composed of multiple dimensional parameters.

2. The construction data collection and management method according to claim 1, characterized in that: The step of determining the similarity of data changes of multi-dimensional data points between the current period and any target period includes: Determine a current pointing vector between a multi-dimensional data point in a current period and its adjacent multi-dimensional data points; Determine a target pointing vector between a multidimensional data point at a time corresponding to the target period and the current period and its adjacent multidimensional data points; The similarity between the current pointing vector and the target pointing vector is used to obtain the similarity of data changes.

3. The construction data collection and management method according to claim 1, characterized in that: The step of determining the similarity of the same parameters between the current period and the target period at corresponding moments includes: Determine the current parameter value of any parameter at any time in the current period, and determine the target parameter value of the same parameter at the corresponding time in the target period and the current period; The parameter difference between the current parameter value and the target parameter value is used to determine the similarity of the same parameters at corresponding moments between the current period and the target period.

4. The construction data collection and management method according to claim 1, characterized in that: The steps of determining the construction approximation index between the current period and the target period by using the similarity of data changes and the similarity of the same parameters include: The similarity of the construction status between the current period and the target period is determined by using the mean values ​​corresponding to the similarities of the same parameters; The similarity of data changes and construction status is used to determine the construction approximation indicators between the current period and the target period.

5. The construction data collection and management method according to claim 1, characterized in that: The steps of determining the construction progress reference index of the target period relative to the current period by using the construction approximate index and the interval time include: Using the time interval, determine the possibility that the target period and the current period are in the same construction phase; The construction approximate indicators are weighted using the possibility of the same construction stage, and the reference indicator of the construction progress of the target period relative to the current period is calculated.

6. The construction data collection and management method according to claim 1, characterized in that: Before the step of determining the construction progress reference index of the target period relative to the current period by using the construction approximate index and the time interval, the method further includes: comparing the construction approximation index with a preset construction approximation threshold; If the construction approximation index is greater than or equal to the preset construction approximation threshold, it is determined that the current period and the target period are in similar construction status; If the construction approximation index is less than the preset construction approximation threshold, it is determined that the current period and the target period are in different construction states; The target time period with similar construction status is retained, and the step of determining the construction progress reference index of the target time period relative to the current time period is performed by using the construction approximate index and the time interval.

7. The construction data collection and management method according to claim 1, characterized in that: The steps of determining the standard construction progress at the current moment by using the construction progress reference index and detecting the construction progress include: Determine the current single-dimensional detection construction progress of the current period and the target single-dimensional detection construction progress of the target period; Using the construction progress reference index, the current single-dimensional detection construction progress and the target single-dimensional detection construction progress, the single-dimensional theoretical construction progress of each dimension at the current moment is calculated; Using the current single-dimensional detection construction progress, determine the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment; The standard construction progress at the current moment is calculated by using the single-dimensional theoretical construction progress, the single-dimensional proportional relationship, and the current single-dimensional detection construction progress in the current single-dimensional detection construction progress.

8. The construction data collection and management method according to claim 7, characterized in that: The steps of calculating the single-dimensional theoretical construction progress of each dimension at the current moment by using the construction progress reference index, the current single-dimensional detection construction progress and the target single-dimensional detection construction progress include: Determine the construction progress difference from the starting point to the end point corresponding to the target single-dimensional detection construction progress; The construction progress reference index is used to weight the construction progress difference, and the weighted construction progress difference and the current single-dimensional detection construction progress are used to calculate the single-dimensional theoretical construction progress in each dimension at the current moment.

9. The construction data collection and management method according to claim 7, characterized in that: The step of using the current single-dimensional detection construction progress to determine the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment includes: By using the current single-dimensional detection construction progress, the total number of dimensions and the manually determined construction progress in the current single-dimensional detection construction progress, the single-dimensional proportional relationship between the detection construction progress and the actual construction progress in each dimension at the current moment is calculated.

10. A construction data collection and management system, characterized in that: The system is used to implement the construction data collection and management method according to any one of claims 1 to 9; the system comprises: A data acquisition module is used to determine the construction data space composed of multi-dimensional data points in each time period; The data comparison module is used to determine the similarity of data changes of multi-dimensional data points between the current period and any target period; determine the similarity of the same parameters at corresponding moments between the current period and the target period, and use the similarity of data changes and the similarity of the same parameters to determine the construction approximation index between the current period and the target period; The progress reference module is used to determine the time interval between the current period and the target period, and to determine the construction progress reference index of the target period relative to the current period by using the construction approximate index and the time interval; The progress prediction module is used to determine the detection construction progress corresponding to each dimensional parameter, and determine the standard construction progress at the current moment by using the construction progress reference index and the detection construction progress; Among them, each time period represents a time period of preset data collection duration; and a multi-dimensional data point is composed of multiple dimensional parameters.

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