CN114707948A - Management method, device and storage medium for large surveying and mapping production project - Google Patents
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Abstract
The invention provides a management method, a device and a storage medium for a large surveying and mapping production project, wherein the management method comprises the following steps: s101: acquiring a project process model based on the information of the large mapping production project; s102: selecting minimum geographic unit information corresponding to each process link in the project process model, decomposing project tasks of the large surveying and mapping production project according to the minimum geographic unit information, and performing task distribution according to the decomposition result and the matching result of the project process model; s103: and acquiring and processing data acquired by the task allocation object based on the task allocation result, generating progress information of the large-scale surveying and mapping production project according to the data, and performing task management based on the progress information. The method can realize the automatic splitting and distribution of project tasks based on the minimum geographic unit information, is simple to operate, can automatically acquire and generate the progress information of the project, is short in time consumption and high in efficiency, is convenient to master the progress information in time, and realizes the standardized and fine management of large surveying and mapping production projects.
Description
Technical Field
The invention relates to the field of surveying and mapping geographic information management, in particular to a management method, a device and a storage medium for large surveying and mapping production projects.
Background
The large-scale mapping production project in the field of mapping geographic information has some common characteristics: first, projects often involve a lot of manpower and material resources; secondly, the work content is converted from traditional single data to obtain oriented geographic information and technical service in an integrated manner, and the work content covers multiple aspects of field collection, field processing, platform construction and result management, and the workload is large; third, the project cycle is long.
In the prior art, when a large-scale surveying and mapping production project is managed, the project needs to be manually split and task allocation is carried out, the operation is complex, the engineering quantity is large, errors are easily omitted or judged, in addition, for obtaining project progress information, modes such as manual collection of statistical tables and the like are generally adopted, time and labor are wasted, data updating is delayed, influence on subjective factors is large, and the progress condition is difficult to accurately master in real time. These dimensions prevent the successful implementation and completion of such projects, and are not conducive to the sustainable development of mapping geographic information services.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a management method, a device and a storage medium for a large-scale surveying and mapping production project, wherein a project flow model is obtained by performing standardized modeling according to information of the large-scale surveying and mapping production project, project tasks are decomposed based on a minimum geographic unit, the decomposition results are matched with the project flow model, corresponding executive personnel are determined, and task allocation results are obtained; the project production data are collected and processed through the task allocation result, so that automatic splitting and allocation of project tasks can be achieved, the operation is simple, the efficiency is high, the progress information of the project can be automatically acquired and generated, the time consumption is short, the accuracy is high, the progress information can be conveniently and timely mastered, the standardized fine management of large-scale surveying and mapping production projects is achieved, and the sustainable development of surveying and mapping geographic information career is promoted.
In order to solve the above problems, the present invention adopts a technical solution as follows: a method of managing a large mapping production project, the method comprising: s101: acquiring information of a large surveying and mapping production project, and acquiring a project process model of the large surveying and mapping production project based on the information, wherein the project process model comprises process links and link weights; s102: selecting minimum geographic unit information corresponding to each process link in a project process model, decomposing a project task of the large-scale surveying and mapping production project according to the minimum geographic unit information, and performing task allocation according to a decomposition result and a matching result of the project process model; s103: and acquiring and processing data acquired by the task allocation object based on the task allocation result, generating progress information of the large surveying and mapping production project according to the processed data, and performing task management based on the progress information.
Further, the step of obtaining the project process model of the large mapping production project based on the information specifically includes: and acquiring the work content and the work requirement in the information, and performing flow link extraction and link weight setting on the implementation flow information of the large surveying and mapping production project according to the work content and the work requirement.
Further, the step of selecting minimum geographic unit information corresponding to each process link in the project process model and decomposing the project task of the large mapping production project according to the minimum geographic unit information specifically includes: and selecting the minimum geographic unit matched with each process link in the project process links, and decomposing the project task by taking the minimum geographic unit as a unit.
Further, the step of performing task allocation through the matching result of the decomposition result and the project process model specifically includes: and acquiring the project task corresponding to each minimum geographic unit after decomposition through the decomposition result, matching each project task after decomposition with a corresponding process link based on the project process model, and determining corresponding executive personnel.
Further, the step of acquiring and processing data collected by the task allocation object based on the task allocation result specifically includes: and constructing and operating a project production flow based on the task allocation result, and processing data collected in the project production flow.
Further, the step of processing the data collected in the project production process specifically includes: and acquiring data acquired in the project production flow, and extracting, cleaning and converting the data to acquire a basic detailed list of the project production flow.
Further, the step of generating the progress information of the large mapping production project according to the processed data specifically includes: and carrying out statistics and summarization of different fine granularities of different subjects according to the basic detail table, and constructing a surveying, mapping and production management data warehouse.
Further, the step of performing task management based on the progress information specifically includes: judging whether the progress information is deviated from the expected progress or not; if so, acquiring a flow link, a minimum geographic unit project task and an executive staff corresponding to the deviation, and performing targeted adjustment according to the flow link, the minimum geographic unit project task and the executive staff; if not, storing the progress information.
Based on the same inventive concept, the invention also provides an intelligent terminal, which comprises a processor and a memory, wherein the memory stores a computer program, and the computer program is used for executing the management method of the large surveying and mapping production project.
Based on the same inventive concept, the present invention also proposes a computer-readable storage medium storing program data for executing the method for managing a large surveying and mapping production project as described above.
Compared with the prior art, the invention has the beneficial effects that: carrying out standardized modeling according to the information of the large surveying and mapping production project to obtain a project flow model, decomposing a project task based on a minimum geographic unit, matching the decomposition result with the project flow model, determining corresponding executive personnel, and obtaining a task distribution result; the project production management data are collected and processed through the task allocation result, and a surveying and mapping production management data warehouse is constructed, so that the project task can be automatically split and allocated, the operation is simple, the efficiency is high, the progress information of the project can be automatically acquired and generated, the time consumption is short, the accuracy is high, the progress information can be conveniently and timely mastered, the standardized fine management of large surveying and mapping production projects is realized, and the sustainable development of surveying and mapping geographic information career is promoted.
Drawings
FIG. 1 is a flow chart of an embodiment of a method for managing a large mapping production project according to the present invention;
FIG. 2 is a flow chart of another embodiment of a method for managing a large survey production project;
FIG. 3 is a flowchart of one embodiment of a project flow model acquisition in the method for managing large surveying and mapping production projects of the present invention;
FIG. 4 is a flowchart of an embodiment of task allocation based on minimum geographic units in the method for managing a large mapping production project according to the present invention;
FIG. 5 is a diagram illustrating an embodiment of a data warehouse structure in the method for managing a large-scale mapping production project according to the present invention;
FIG. 6 is a schematic diagram of an embodiment of the hierarchical construction of the data warehouse in the management method of the large mapping production project according to the present invention;
FIG. 7 is a flowchart illustrating an embodiment of an ETL model in the method for managing a large-scale mapping production project according to the present invention;
FIG. 8 is a block diagram of an embodiment of an intelligent terminal according to the present invention;
fig. 9 is a block diagram of an embodiment of a computer-readable storage medium of the present invention.
Detailed Description
The following description of the embodiments of the present application is provided by way of specific examples, and other advantages and effects of the present application will be readily apparent to those skilled in the art from the disclosure herein. The present application is capable of other and different embodiments and its several details are capable of modifications and/or changes in various respects, all without departing from the spirit of the present application. It should be noted that the various embodiments of the present disclosure, described and illustrated in the figures herein generally, may be combined with each other without conflict, and that the structural components or functional modules therein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The terminology used in the disclosure herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 to 7, fig. 1 is a flowchart illustrating a management method for a large mapping production project according to an embodiment of the present invention; FIG. 2 is a flow chart of another embodiment of a method for managing a large mapping production project according to the present invention; FIG. 3 is a flowchart of an embodiment of a project process model acquisition in the method for managing large surveying and mapping production projects of the present invention; FIG. 4 is a flowchart of an embodiment of task allocation based on minimum geographic units in the method for managing a large mapping production project according to the present invention; FIG. 5 is a diagram illustrating an embodiment of a data warehouse structure in the method for managing a large-scale mapping production project according to the present invention; FIG. 6 is a schematic diagram of an embodiment of the hierarchical construction of the data warehouse in the management method of the large mapping production project according to the present invention; FIG. 7 is a flowchart illustrating an embodiment of ETL model in the method for managing large-scale mapping production projects according to the present invention. The method for managing a large-scale mapping production project according to the present invention will be described in detail with reference to fig. 1 to 7.
In this embodiment, the device executing the management method of the large mapping production project is an intelligent terminal, and the intelligent terminal may be a computer, a mobile phone, a tablet computer, a cloud platform, a server, and other physical devices or virtual devices capable of performing task splitting and data acquisition and processing.
The management method of the large surveying and mapping production project comprises the following steps:
s101: the method comprises the steps of obtaining information of a large surveying and mapping production project, and obtaining a project flow model of the large surveying and mapping production project based on the information, wherein the project flow model comprises flow links and link weights.
The intelligent terminal analyzes the project implementation flow according to the work content and requirements of a large-scale data production project in the mapping field, extracts flow links and determines qualitative indexes; based on the process links, setting the weight of the process links in the whole project process according to the importance and the difficulty, determining quantitative indexes, and obtaining a project process model.
In this embodiment, the information of the large-scale mapping production project includes work content and work requirements, where the work requirements include task requirements, construction period requirements, technical quality requirements, achievement requirements, and other requirements related to the large-scale mapping production project.
The step of obtaining the project process model of the large surveying and mapping production project based on the project information specifically comprises the following steps: and acquiring the work content and the work requirement in the information, and performing flow link extraction and link weight setting on the implementation flow of the large surveying and mapping production project. The specific process links corresponding to different implementation processes in the implementation process information are different, and one implementation process can correspond to a plurality of different process links.
The intelligent terminal can acquire implementation process information of the large mapping production project according to work content and work requirements, and can also determine project classification of the large mapping production project according to preset classification rules after the large mapping production project is acquired, and determine the implementation process information of the large mapping production project according to the project classification.
In this embodiment, the intelligent terminal obtains workload, importance, and difficulty information of different process links according to the work content and the work requirement, and determines weights of the different process links based on the information.
In one embodiment, the large surveying and mapping production project is a G province digital elevation model updating project, and implementation processes in implementation process information of the project comprise early preparation, data production, quality inspection and acceptance and convergence. After the process link extraction and link weight reset are performed on the implementation process information, the obtained project process model is as shown in the following table one:
Table I, project process model
S102: and selecting minimum geographic unit information corresponding to each process link in the project process model, decomposing the project task of the large surveying and mapping production project according to the minimum geographic unit information, and distributing the task according to the decomposition result and the matching result of the project process model.
The intelligent terminal determines the minimum geographic unit according to the project work content and the original data condition, and decomposes the project task based on the minimum geographic unit by utilizing geographic information data processing software; and matching the decomposed project task with each flow link in the project flow model, and further matching with an executive person to obtain a task distribution result.
The method specifically comprises the steps of selecting minimum geographic unit information corresponding to each process link in a project process model, and decomposing a project task of a large surveying and mapping production project according to the minimum geographic unit information: and selecting the minimum geographic unit matched with each process link in the project process links, and decomposing the corresponding project task based on the minimum geographic unit. Wherein, the minimum geographic units corresponding to different process links may be different.
In this embodiment, for each process link, a quarter of a 5km × 5km grid is selected as a minimum geographic unit to decompose the project task, and the raw data corresponding to the large mapping production project is automatically decomposed by the selected minimum geographic unit by using the data pruning function of the ARCGIS 10.0.
The step of performing task allocation through the matching result of the decomposition result and the project flow model specifically comprises the following steps: and acquiring and decomposing the project task corresponding to each minimum geographic unit according to the decomposition result, matching each decomposed project task with a corresponding flow link based on the project flow model, and determining corresponding executive personnel.
The intelligent terminal matches the decomposed project task serving as the minimum geographic unit project task with the project process model, and matches specific process links and specific personnel along the project process model, so that each process link and each minimum geographic unit project task have executive personnel with corresponding responsibilities.
S103: and acquiring and processing data acquired by the task allocation object based on the task allocation result, generating progress information of the large surveying and mapping production project according to the processed data, and performing task management based on the progress information.
The intelligent terminal builds and automatically operates a project production flow for the application building platform of the zero code through the pre-selected application building tool on the basis of the task distribution result under the condition of not using the code. The intelligent terminal can select an ETL tool or an existing data factory module, extract, clean and convert data collected by the operation of the automatic process, and construct a set of surveying and mapping production management data warehouse facing to a project model, a minimum geographic unit task, project personnel and real-time progress according to a three-layer design structure of a data warehouse standard. Data statistics summarization and backtracking drilling are carried out based on the data warehouse, and standardized fine management of large surveying and mapping production projects is achieved.
In one embodiment, the task allocation results are built and automatically run by a simple cloud application building tool. And extracting, cleaning, converting and associating data acquired by the operation of the automatic process, and constructing a mapping production management data warehouse facing to a project model, a minimum geographic unit task, project personnel and time real-time progress.
In this embodiment, the step of acquiring and processing data collected by the task allocation object based on the task allocation result specifically includes: and building and operating a project production flow based on the task allocation result, and processing data collected in the project production flow.
The step of processing the data collected in the project production process specifically comprises: and acquiring data acquired in the project production flow, and extracting, cleaning and converting the data to acquire a basic list of the project production flow.
In one embodiment, the construction and automatic operation of the project production flow are realized through the flow form function processing task distribution result of the simple cloud, and the data collected by the automatic flow operation are extracted, cleaned and converted, so that the basic list of the project production flow is obtained. In this embodiment, the basic schedule includes a project process model table, a minimum geographic unit task information table, a real-time personnel progress table, and the like.
In this example, a key software is selected to design and build an ETL model, and fig. 7 is an example diagram of the ETL model; the working process of the ETL model is as follows:
(1) extraction of
Selecting an increment extraction mode, and extracting each item of updating data of the process operation;
(2) cleaning of
Removing weight: removing repeated reported data in the same day, and selecting data corresponding to the latest time point;
null value processing: uniformly processing null values as values corresponding to a time point on the record;
(3) conversion
And sequentially acquiring a project process model table, a minimum geographic unit task information table and a personnel real-time progress table.
The step of generating the progress information of the large mapping production project according to the processed data specifically comprises the following steps: and carrying out statistics and summarization of different fine granularities of different subjects according to the basic detail table, and constructing a mapping production management data warehouse.
In this embodiment, the Data WareHouse has three layers, including a DWD layer (Data ware house detail layer), a DWM layer (Data ware house Middle layer), and a DWS layer (Data ware house service layer), where each layer stores Data with different fine granularities, the DWD layer stores information such as a project flow model table, a minimum geographic unit task information table, and a real-time personnel progress table, the DWM layer stores information such as link progress Data and personnel progress Data, and the DWS layer stores information such as project progress Data and team efficiency Data.
In one embodiment, basic detail tables such as a project flow model table, a minimum geographic unit task information table and a personnel real-time progress table are used as data detail layers, a data factory module of a simple cloud is adopted, the data detail layers are subjected to preliminary summarization by taking the project link progress per week and the personnel progress of each team per week as subjects to obtain a data middle layer, then statistical summarization is further performed on the data middle layer data by taking the project progress per week and the personnel efficiency of the team as subjects to obtain a data service layer, and a surveying and mapping production management data warehouse is constructed, so that information such as project progress and personnel efficiency can be displayed in real time, intuitively and accurately. Meanwhile, when the progress deviates from the expected deviation, the data are drilled backwards and backwards, the flow link corresponding to the deviation, the minimum geographic unit project task and the specific personnel information are quickly searched, the problem is accurately positioned, the adjustment and intervention are performed in a targeted manner in time, and the standardized and fine management of a large surveying and mapping production project is realized.
The method is suitable for scenes of large-scale surveying and mapping production project management, during specific implementation, qualitative and quantitative indexes can be determined according to actual work content and work requirements of projects, a proper minimum geographic unit is selected as a division standard, a proper application building platform is selected to build and operate project flows in combination with work environments and technologies, and a proper ETL tool or a ready-made data factory tool is selected to perform data processing to build a data warehouse. The hierarchical design of the data warehouse can select a three-layer standard hierarchical structure or omit a data middle layer according to the actual data size, and only keep two-layer structures of a data detail layer and a data service layer. And selecting a proper database server to perform data warehouse deployment, and implementing standardized and refined management on large surveying and mapping production projects.
Based on the same inventive concept, the present invention further provides an intelligent terminal, please refer to fig. 8, and fig. 8 is a structural diagram of an embodiment of the intelligent terminal of the present invention. The intelligent terminal of the present invention is specifically described with reference to fig. 8.
In this embodiment, the intelligent terminal includes a processor and a memory, and the memory stores a computer program, and the computer program is used for executing the management method of the large surveying and mapping production project according to the above embodiment.
In this embodiment, the processor is a control center of the intelligent terminal, and is connected to various parts of the entire intelligent terminal through various interfaces and lines, and executes various functions and processes data of the intelligent terminal by running or executing software programs and/or modules stored in the memory and calling data stored in the memory, thereby performing overall monitoring on the intelligent terminal. Alternatively, the processor may include one or more processing units; preferably, the processor may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor.
The intelligent terminal further comprises a power supply (such as a battery) for supplying power to each component, and preferably, the power supply can be logically connected with the processor through a power management system, so that functions of charging, discharging, power consumption management and the like can be managed through the power management system.
The memory may be used to store computer programs and modules, and the processor may execute various functional applications and data processing of the smart terminal by operating the software programs and modules stored in the memory. The memory may mainly include a program storage area and a data storage area, where the program storage area may store an operating system, an application program required by at least one function (such as project process model building, etc.), and the like; the storage data area may store data (such as a project flow model, progress information, etc.) created according to the use of the smart terminal, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
Based on the same inventive concept, the present invention further provides a computer-readable storage medium, please refer to fig. 9, fig. 9 is a structural diagram of an embodiment of the computer-readable storage medium of the present invention, and the computer-readable storage medium of the present invention is described with reference to fig. 9.
In the present embodiment, a computer-readable storage medium stores program data for executing the method for managing a large survey and drawing production project according to the above-described embodiment.
The computer-readable storage medium may include, but is not limited to, floppy diskettes, optical disks, CD-ROMs (compact disc-read only memories), magneto-optical disks, ROMs (read only memories), RAMs (random access memories), EPROMs (erasable programmable read only memories), EEPROMs (electrically erasable programmable read only memories), magnetic or optical cards, flash memory, or other type of media/machine-readable medium suitable for storing machine-executable instructions. The computer readable storage medium may be a product that is not accessed by the computer device or may be a component that is used by an accessed computer device.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A management method for a large surveying and mapping production project is characterized by comprising the following steps:
s101: acquiring information of a large surveying and mapping production project, and acquiring a project process model of the large surveying and mapping production project based on the information, wherein the project process model comprises process links and link weights;
s102: selecting minimum geographic unit information corresponding to each process link in a project process model, decomposing a project task of the large-scale surveying and mapping production project according to the minimum geographic unit information, and performing task allocation according to a decomposition result and a matching result of the project process model;
s103: and acquiring and processing data acquired by the task allocation object based on the task allocation result, generating progress information of the large mapping production project according to the processed data, and performing task management based on the progress information.
2. The method for managing a large mapping production project as claimed in claim 1, wherein the step of obtaining the project process model of the large mapping production project based on the information comprises:
and acquiring the work content and the work requirement in the information, and performing flow link extraction and link weight setting on the implementation flow information of the large surveying and mapping production project according to the work content and the work requirement.
3. The method as claimed in claim 1, wherein the step of selecting the minimum geographic unit information corresponding to the process link in the project process model and decomposing the project task of the large-scale mapping production project according to the minimum geographic unit information comprises:
and selecting a minimum geographic unit matched with each flow link in the project flow links, and decomposing the project task by taking the minimum geographic unit as a unit.
4. The method for managing a large-scale mapping production project according to claim 3, wherein the step of performing task assignment through the matching result of the decomposition result and the project process model specifically comprises:
and acquiring the project task corresponding to each minimum geographic unit after decomposition through the decomposition result, matching each project task after decomposition with a corresponding process link based on the project process model, and determining corresponding executive personnel.
5. The method for managing a large-scale mapping production project according to claim 1, wherein the step of acquiring and processing the data collected by the task allocation object based on the task allocation result specifically comprises:
And constructing and operating a project production flow based on the task allocation result, and processing data acquired in the project production flow.
6. The method for managing a large mapping production project of claim 5, wherein the step of processing the data collected in the project production process includes:
and acquiring data acquired in the project production flow, and extracting, cleaning and converting the data to acquire a basic detailed list of the project production flow.
7. The method for managing a large mapping production project of claim 6, wherein the step of generating the progress information of the large mapping production project based on the processed data includes:
and carrying out statistics and summarization of different fine granularities of different subjects according to the basic detail table, and constructing a mapping production management data warehouse.
8. The method for managing a large surveying and mapping production project according to claim 1, wherein the step of performing task management based on the progress information includes:
judging whether the progress information is deviated from the expected progress or not;
if so, acquiring a flow link, a minimum geographic unit project task and an executive staff corresponding to the deviation, and performing targeted adjustment according to the flow link, the minimum geographic unit project task and the executive staff;
If not, storing the progress information.
9. An intelligent terminal, characterized in that the intelligent terminal comprises a processor, a memory, the memory storing a computer program for executing the method for managing large surveying and mapping production project according to any one of claims 1-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores program data for performing the method for managing a large surveying production project according to any of claims 1-8.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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