1. A project construction management data analysis decision system platform is characterized by comprising an original data collection module, a data processing module, a data analysis module, a drawing module and a decision module, wherein,

the original data collection module is used for receiving manually input data;

the front end of the data processing module is connected with the original data collecting module and is used for classifying and sorting the time and various types of progress data in the special array;

the front end of the data analysis module is connected with the data processing module, corresponding data are called from the data processing module and are used for arranging the data according to formulated analysis rules and storing each analysis method into a corresponding special array;

the front end of the drawing module is connected with the data analysis module, and data is obtained from a special array corresponding to an analysis method to draw a corresponding visual graph;

the decision module is connected with the drawing module at the front end, edits decision rules corresponding to different analysis methods, and automatically pops up corresponding decisions after triggering the rules by data.

2. The engineering construction management data analysis and decision system platform according to claim 1, wherein the receiving of manually entered data is by entering and storing the data in a dedicated array on a visual interface.

3. The engineering construction management data analysis and decision system platform according to claim 1, wherein the data is sorted according to the time sequence and dynamically grouped according to time periods of day, week, month and year and construction region.

4. The engineering construction management data analysis and decision system platform according to claim 1, wherein the analysis rules comprise front lines, S-curves and cross-road maps.

5. The engineering construction management data analysis and decision system platform according to claim 2, wherein the manually entered data comprises engineering progress data and corresponding time series.

Background

In the field of engineering construction, the progress of engineering construction is often one of the most concerned contents of construction managers and construction units. However, the statistics of the construction progress is usually limited to the word and number statistics or displayed in a percentage form, and the statistics greatly limits the engineering manager from mastering the progress control point and is not beneficial to adopting a corresponding control strategy. The current progress statistics are limited to a certain aspect, for example, progress statistics in a certain region, project statistics of a certain type and the like, visual analysis is not performed by methods such as a front edge, a progress curve and the like, and key time nodes of project construction and region progress control sensitive points needing important attention are not determined. Therefore, the current progress analysis method is not beneficial for a construction manager to quickly master weak points and key control points of the engineering construction progress, and cannot meet the requirements of high efficiency, visualization and refinement of the current engineering construction management progress.

Disclosure of Invention

Aiming at the technical problems in the related art, the invention provides an engineering construction management data analysis decision system platform which can overcome the defects of the prior art.

In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:

an engineering construction management data analysis decision system platform comprises an original data collection module, a data processing module, a data analysis module, a drawing module and a decision module, wherein,

the original data collection module is used for receiving manually input data;

the front end of the data processing module is connected with the original data collecting module and is used for classifying and sorting the time and various types of progress data in the special array;

the front end of the data analysis module is connected with the data processing module, corresponding data are called from the data processing module and are used for arranging the data according to formulated analysis rules and storing each analysis method into a corresponding special array;

the front end of the drawing module is connected with the data analysis module, and data is obtained from a special array corresponding to an analysis method to draw a corresponding visual graph;

the decision module is connected with the drawing module at the front end, edits decision rules corresponding to different analysis methods, and automatically pops up corresponding decisions after triggering the rules by data.

Further, the receiving of the manually entered data is performed by entering and storing the data in a dedicated array through a visual interface.

Further, the data is sorted according to the sequence of time, and dynamically grouped according to time periods of day, week, month and year and construction areas.

Further, the analysis rule comprises a frontal line, an S curve and a crosswalk map.

Further, the manually entered data includes project progress data and corresponding time series.

The invention has the beneficial effects that: the construction data are classified and sorted by establishing an engineering construction management data analysis decision platform, various analysis methods are displayed to a decision maker through a visual method, and a management flow is optimized; by establishing the engineering construction management data analysis decision platform, decision instructions generated by data analysis are automatically displayed to decision makers, and decision efficiency is improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a schematic diagram of module connections of an engineering construction management data analysis and decision system platform according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.

The invention designs an engineering construction management data analysis decision system platform, which can realize the functions of data collection, sorting, analysis and drawing, decision making and the like through an original data collection module, a data processing module, a data analysis module, a drawing module and a decision making module.

As shown in fig. 1, the engineering construction management data analysis and decision system platform according to the embodiment of the present invention includes: the device comprises an original data collection module, a data processing module, a data analysis module, a drawing module and a decision module. This sequence is the sequence of data flow and module connection.

The original data collection module is used for receiving manually input data and storing the data input in a special array containing dates and various schedules through a visual interface.

The front end of the data processing module is connected with the original data collecting module and is used for classifying and sorting time and various kinds of progress data in the special array. The data are sorted according to time and are dynamically grouped according to time periods of days, weeks, months and years and construction areas.

The front end of the data analysis module is connected with the data processing module, corresponding data are called from the data processing module and are used for arranging the data according to formulated analysis rules (front edge, S curve, cross road map and the like), and each analysis method is stored into a corresponding special array.

The front end of the drawing module is connected with the data analysis module, and data is obtained from the special array corresponding to the analysis method to draw a corresponding visual graph.

The front end of the decision module is connected with the drawing module, decision rules corresponding to different analysis methods are edited in the decision module, and corresponding decisions are automatically popped up after the rules are triggered by data. And manual decision analysis can be performed according to the visual graph. The analysis decisions are recorded in the decision history, so that subsequent checking is facilitated.

In order to facilitate understanding of the above-described technical aspects of the present invention, the above-described technical aspects of the present invention will be described in detail below in terms of specific usage.

When the original data is collected, project progress data and corresponding time sequences are manually input in a visual interface. All data enter the original data collection module, and the data are stored in an array 1. For example: and manually inputting the construction progress of the basic procedures of the project A every 5 months through an original data collection module, and storing data into an array 1.

When the data is sorted, the data in the array 1 is processed in the data processing module. Data such as date, completion progress of each process on the same day and the like are recorded in different columns of the array 2, and separators are arranged on the last day of each week and the last day of each month, so that progress data in different periods can be counted conveniently. For example: recording data in the array 1 into an array 2 through a program, wherein the array 2 is divided into N rows, the 1 st row is a date, the 2 nd row is a first procedure completion percentage, the 3 rd row is a second procedure completion percentage, and the Nth row is a percentage for completing the N-1 procedure; and entering a "#" in the next row of each weekday and entering a "#" in the next row of the last day of each month, thereby realizing division of the week and the month.

When data are analyzed, the data in the array 2 are processed in a data analysis module, the data in the array 2 are sorted according to the rule of an analysis method to form an array 3, and a data format formed by a plurality of analysis methods is stored in the array 3. For example: the data analysis is carried out on the array 3 by adopting a front edge method, the array 3 is divided into N rows, the array 1 is time, the array 2 is the percentage of the first process completed according to a plan, the array 3 is the percentage of the first process completed according to the plan (data is taken from the array 2), the array 4 is the percentage of the second process completed according to the plan, the array 5 is the percentage of the second process completed actually, and the like.

The data were then analyzed and plotted. And transferring the data in the array 3 to a drawing module, and drawing a corresponding visual graph in the module for a decision maker to analyze. For example: drawing the image by using a drawing program according to the drawing rule of the 'front line' method, and outputting the image to a display.

Finally, entering a decision module, setting boundary conditions for the data in the array 3 according to specific rules of various analysis methods, transmitting information to a drawing module after the data triggers the boundary conditions, and displaying decision suggestions in a visual graph; after the decision suggestion is formed, the decision suggestion and the data at the moment are recorded in an array 4, and a decision suggestion table is finally formed. For example, the N +1 columns in the array 3 set the boundary conditions for the progress of the first process: the actual completion progress percentage is less than the planned completion progress percentage; when the actual completion progress percentage is smaller than the planned completion progress percentage, sending an instruction to a drawing module through a program, activating a decision suggestion, and displaying the suggestion in a display; the content of the decision proposal and the reason for activation are recorded in array 4.

In summary, by means of the above technical solution of the present invention, by establishing an engineering construction management data analysis decision platform, classification and arrangement of construction data is realized, and various analysis methods are displayed to a decision maker by a visual method, so that a management flow is optimized; by establishing the engineering construction management data analysis decision platform, decision instructions generated by data analysis are automatically displayed to decision makers, and decision efficiency is improved.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.