CN111061777A - Project data statistical analysis method and system - Google Patents
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Abstract
The invention discloses a project data statistical analysis method, which comprises the following steps: acquiring required project information data according to preset data acquisition conditions; performing word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data; identifying and matching the data types of the word blocks through a matching algorithm, and merging and classifying the word blocks of the same data type into the same data set; outputting a plurality of data sets containing word blocks of different data types, and respectively carrying out statistical analysis on project data; according to the project information data association method and system, word segmentation processing and merging and classification are carried out on the project information data, and association set is carried out on the associated project information data, so that the technical problems that data resources of a project information system of a current supervision enterprise are dispersed and the system resources lack association are solved, and therefore the data resources of the project information system are associated and integrated, data arrangement time in the data statistics and analysis process is saved, and working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a project data statistical analysis method and system.
Background
At present, data statistical analysis of project engineering is realized by displaying through a traditional client and a Web end, exchanging data by utilizing a client program special for developing a computer and a server, combining webpage publishing tools such as Apache, IIS and the like to exchange programs and data in a browser of a client computer, and adopting a mode of manually carrying out statistical analysis on data.
Under the present big data environment, the data resources of project information systems of currently proctoring enterprises are scattered, the system resources are lack of correlation, many enterprises still use Excel to carry out data arrangement and statistical analysis, and when carrying out statistical analysis on the project information of massive big data, the consumed time is quite huge, so that the working efficiency is low, and the quality of the data is difficult to ensure.
Disclosure of Invention
The invention provides a project data statistical analysis method, which is used for performing word segmentation processing and merging and classifying on project information data and performing association set on associated project information data so as to solve the technical problems that data resources of a project information system of a supervision enterprise are dispersed and each system resource is lack of association at present, so that the data resources of the project information system are associated and integrated, further the data arrangement time in the data statistical analysis process is saved, and the working efficiency is improved.
In order to solve the above technical problem, an embodiment of the present invention provides a project data statistical analysis method, including:
acquiring required project information data according to preset data acquisition conditions;
performing word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data;
identifying and matching the data types of the word blocks through a matching algorithm, and merging and classifying the word blocks of the same data type into the same data set;
and outputting a plurality of data sets containing word blocks of different data types, and respectively carrying out statistical analysis on the project data.
Preferably, the word segmentation processing on the item information data further includes: judging whether the project information data is operable data or not, if so, executing word segmentation processing action; if not, directly outputting.
As a preferred scheme, the word segmentation algorithm is a character string matching word segmentation algorithm.
Preferably, the matching algorithm is kmp algorithm.
The embodiment of the invention provides a project data statistical analysis system, which comprises:
the data acquisition module is used for acquiring required project information data according to preset data acquisition conditions;
the word segmentation processing module is used for carrying out word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data;
the recognition matching module is used for recognizing and matching the data types of the word blocks through a matching algorithm, and combining and classifying the word blocks of the same data type into the same data set;
and the output statistical module is used for outputting a plurality of data sets containing word blocks of different data types and respectively carrying out project data statistical analysis.
Preferably, the project data statistical analysis system further includes: the judgment processing module is used for performing word segmentation processing on the project information data, judging whether the project information data is operable data or not, and executing word segmentation processing actions if the project information data is operable data; if not, directly outputting.
As a preferred scheme, the word segmentation algorithm is a character string matching word segmentation algorithm.
Preferably, the matching algorithm is kmp algorithm.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein the computer program, when running, controls the device on which the computer readable storage medium is located to perform the statistical analysis method for the project data according to any one of the above items.
An embodiment of the present invention further provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements the statistical analysis method for project data according to any one of the above items when executing the computer program.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
according to the project information data association method and system, word segmentation processing and merging and classification are carried out on the project information data, and association set is carried out on the associated project information data, so that the technical problems that data resources of a project information system of a current supervision enterprise are dispersed and the system resources lack association are solved, and therefore the data resources of the project information system are associated and integrated, data arrangement time in the data statistics and analysis process is saved, and working efficiency is improved.
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FIG. 1: the steps of the statistical analysis method of project data in the embodiment of the invention are a flow chart;
FIG. 2: the invention is a structural schematic diagram of a project data statistical analysis system in the embodiment of the 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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The appearance of the internet technology and the big data technology brings a new development direction for engineering project management, and professional and deep analysis and processing can be carried out by using the internet technology and the big data technology as long as the accuracy, timeliness and confidentiality of the bottom big data are guaranteed. The huge data is processed through overall analysis, fuzzy analysis and correlation analysis, so that the value increment of the data is realized, the prediction analysis guidance is accurately and effectively carried out on the cost, progress, safety and quality of engineering project management summary, the construction process is substantially assisted and guided, the workload of a user is greatly reduced, the decision of the user is facilitated, and the expected result is finally quickly and effectively achieved. The method not only greatly improves the management quality, progress, safety, cost and other links of the project and the overall information processing efficiency, but also provides effective information reference for project decision making, and further realizes the increment of project benefits. All engineering data can be automatically extracted from a table corresponding to a relevant construction process, relevant data can be automatically counted and analyzed, visual data bases are provided for managers and decision makers, the problems that management efficiency is low, workload is large, error rate is high, document retrieval is inconvenient, and basic source data cannot be extracted for counting and analyzing and utilizing in a traditional manual-based management mode are solved, meanwhile, a large amount of manpower and material resources are saved, and the file forming period is shortened. According to the invention, by referring to the basic data, the system automatically generates the grade score, so that unnecessary errors caused by manual calculation are avoided, for example, the logic relationship between data formed in the traditional manual calculation process cannot be knocked out, partial errors and omissions are generated when the evaluation report is generated by manual calculation, and the actual condition of the construction project cannot be reflected to a certain extent.
Referring to fig. 1, a preferred embodiment of the present invention provides a statistical analysis method for project data, including:
s1, acquiring required project information data according to preset data acquisition conditions;
s2, performing word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data; in this embodiment, performing word segmentation processing on the item information data further includes: judging whether the project information data is operable data or not, if so, executing word segmentation processing action; if not, directly outputting. In this embodiment, the word segmentation algorithm is a character string matching word segmentation algorithm.
S3, identifying and matching the data types of the word blocks through a matching algorithm, and merging and classifying the word blocks of the same data type into the same data set; in the present embodiment, the matching algorithm is kmp algorithm.
The KMP algorithm is an improved string matching algorithm proposed by d.e.knuth, j.h.morris and v.r.pratt, and is therefore referred to as the knudt-morris-pratt operation (abbreviated as the KMP algorithm). The core of the KMP algorithm is to reduce the matching times of the mode string and the main string as much as possible by using the information after the matching fails so as to achieve the purpose of quick matching. The specific implementation is realized by a next () function, and the function itself contains the local matching information of the pattern string. Temporal complexity of the KMP algorithm O (m + n).
And S4, outputting a plurality of data sets containing word blocks of different data types, and respectively carrying out statistical analysis on the project data.
Accordingly, referring to fig. 2, an embodiment of the present invention provides a project data statistical analysis system, including:
the data acquisition module is used for acquiring required project information data according to preset data acquisition conditions;
the word segmentation processing module is used for carrying out word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data; in this embodiment, the word segmentation algorithm is a character string matching word segmentation algorithm.
The recognition matching module is used for recognizing and matching the data types of the word blocks through a matching algorithm, and combining and classifying the word blocks of the same data type into the same data set; in the present embodiment, the matching algorithm is kmp algorithm.
And the output statistical module is used for outputting a plurality of data sets containing word blocks of different data types and respectively carrying out project data statistical analysis.
In this embodiment, the system for statistically analyzing project data further includes: the judgment processing module is used for performing word segmentation processing on the project information data, judging whether the project information data is operable data or not, and executing word segmentation processing actions if the project information data is operable data; if not, directly outputting.
The functions which can be realized by the invention comprise:
1. and (5) carrying out statistical analysis on the test condition and the evaluation condition.
The platform introduces the relevant requirements of relevant specifications and standards on the engineering into the platform through corresponding rules, and by statistical analysis of bottom layer big data, the condition is checked according to unit sub-items and is analyzed and counted, or the comparative analysis results are checked according to sub-item division, and the like, namely different analysis and operation requirement interfaces are provided for managers of different levels from multiple directions and multiple angles, and various requirements of the engineering can be met to the greatest extent.
2. And (5) performing statistical analysis on the rectification situation.
It is somewhat unlikely that problems will be avoided altogether, but it is critical that they be managed accurately and solved by reasonably efficient means after they have occurred.
After the problems occur, the platform automatically counts and summarizes the types and the number of the problems, sends a rectification notice, and then rectifies the related problems one by one, and the number and the result of the rectification are displayed in the platform through icons of different types, so that the problems of 'passing the field' and 'only limiting the rectification on paper' in the traditional management are solved.
3. And (5) carrying out statistical analysis on the personal work tasks.
The work tasks of all posts are clearly and precisely planned through WBS (work breakdown Structure) authority division, so that a user can conveniently make the job work purposefully, and the whole work flow is controlled precisely through a built-in standard flow of a platform.
After a user logs in the platform, the work tasks which are needed to be completed by the individual at present are automatically displayed on the head page of the platform, and related personnel are reminded and urged to complete the work on time; meanwhile, after the project principal logs in the platform, not only personal backlogs are automatically pushed to the platform head page by the platform, but also all the backlogs of the whole project appear on the platform head page, and the display contents of the backlogs include names, roles, the number of tasks to be completed, the number of completed tasks, the number of backlogs and the like.
Different browsing modes are switched, the specific construction position or process can be corresponding to a corresponding post or an individual to view backlog, and the task can be really carried out on post and can be responsible for people.
5. And (5) carrying out statistical analysis on the evaluation condition.
The platform is used for statistically analyzing and displaying the grades of various conditions in a panel of a manager through utilizing the engineering big data, and the manager can clearly know the engineering quality condition.
Because the platform takes the file as the drive of project management, the data corresponding to the bulletin board forms the file in the background (namely, the platform directly reads the original data from the file for analysis and statistics through a big data technology means), and associates the file with the management bulletin board, thereby facilitating the supervision and control of a manager on a specific project part, and also directly printing the corresponding file to realize the filing of paper files.
6. And (5) carrying out overall condition statistical analysis.
The platform can not only analyze and count according to various conditions, or check and compare the analysis results according to the project types, but also display the whole project quality condition on a head page of a manager through the statistical analysis of the project big data, so that the manager can dynamically know the project construction condition.
7. And (5) carrying out statistical analysis.
The platform supports the decomposition, classification, collection, accumulation, analysis and management of data, and displays statistical information in different contents and time periods through various charts so as to meet the requirements of different levels of management, control, decision and the like.
8. And the report is automatically generated.
The platform finally collects and counts the management and control results in a report form by applying a big data technology means, so that the management and control information can be conveniently transmitted and exchanged among management departments and among participating units.
9. And carrying out progress management and control visual display.
The platform shows the whole engineering condition on a manager page or directly displays the whole engineering condition on an operation monitoring center screen through various charts and models through statistical analysis of basic progress control data, so that a manager can quickly know the deviation condition of an engineering plan and the actual situation, and the manager can conveniently judge the whole current situation and make a corresponding decision.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; wherein, when running, the computer program controls the device where the computer readable storage medium is located to execute the statistical analysis method for the project data according to any one of the above embodiments.
The embodiment of the present invention further provides a terminal device, where the terminal device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the statistical analysis method for the project data according to any of the above embodiments when executing the computer program.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Memory Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the terminal device is only an example and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components.
In the technical scheme of the invention, a manager can plan and deploy key points and tasks of inspection in a targeted manner and collect, count and analyze safety information such as engineering entity management, potential safety hazard accidents and the like according to data analysis of inspection results in different stages, so that integrated management of all services, all organizations and all processes of engineering management is realized. And providing a basis for management decision of a manager based on extraction, statistics and analysis of the bottommost data of the engineering project. The method mainly has the following advantages:
1. the management enterprise is helped to quickly integrate the data of each business system, a unified and efficient data analysis and display platform is constructed, and the real-time processing of the data is met.
2. And a complete business analysis model is provided from project establishment and fund use to personnel allocation, so that a decision maker is helped to quickly understand market trends and timely adjust strategies.
3. Analyzing project dynamic and enterprise employee behaviors to realize refined operation; meanwhile, data such as projects, personnel, risks, vehicle traffic and the like in any region are comprehensively analyzed, and enterprises are helped to reasonably make analysis schemes.
4. And comprehensive analysis is performed on the basis of the project information, the project data and the user behavior data, a decision basis is provided for high-level management and the like, and refined operation is realized.
5. Through the acquisition based on real-time data and the visual large-screen display, the large-data application capacity of the supervision enterprise is further improved, and decision support is provided for business operation.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (10)
1. A method for statistical analysis of project data, comprising:
acquiring required project information data according to preset data acquisition conditions;
performing word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data;
identifying and matching the data types of the word blocks through a matching algorithm, and merging and classifying the word blocks of the same data type into the same data set;
and outputting a plurality of data sets containing word blocks of different data types, and respectively carrying out statistical analysis on the project data.
2. The method for statistically analyzing project data as set forth in claim 1, wherein the word segmentation processing for the project information data further includes: judging whether the project information data is operable data or not, if so, executing word segmentation processing action; if not, directly outputting.
3. The method for statistical analysis of project data according to claim 1, wherein said word segmentation algorithm is a string matching word segmentation algorithm.
4. The statistical analysis method of project data according to claim 1, wherein the matching algorithm is kmp algorithm.
5. A system for statistical analysis of project data, comprising:
the data acquisition module is used for acquiring required project information data according to preset data acquisition conditions;
the word segmentation processing module is used for carrying out word segmentation processing on the project information data through a word segmentation algorithm to obtain word blocks containing the project information data;
the recognition matching module is used for recognizing and matching the data types of the word blocks through a matching algorithm, and combining and classifying the word blocks of the same data type into the same data set;
and the output statistical module is used for outputting a plurality of data sets containing word blocks of different data types and respectively carrying out project data statistical analysis.
6. The project data statistical analysis system of claim 5, further comprising: the judgment processing module is used for performing word segmentation processing on the project information data, judging whether the project information data is operable data or not, and executing word segmentation processing actions if the project information data is operable data; if not, directly outputting.
7. The system for statistical analysis of project data according to claim 5, wherein said word segmentation algorithm is a string matching word segmentation algorithm.
8. The statistical analysis system of project data of claim 5, wherein the matching algorithm is the kmp algorithm.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; wherein the computer program controls the device where the computer readable storage medium is located to execute the project data statistical analysis method according to any one of claims 1 to 4 when running.
10. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the project data statistical analysis method of any one of claims 1 to 4 when executing the computer program.
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Application publication date: 20200424 |