CN113421037A - Multi-source collaborative construction planning compilation method and device - Google Patents
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Abstract
The method comprises the steps of determining the road current situation and the planning situation of each target road object, and converting each target road object into project information data, wherein the project information data comprises under-construction project information determined based on the road current situation and newly-added project information determined based on the planning situation; constructing a primary selection project library based on the newly added project information, and constructing a target annual project library based on the primary selection project library and the project information under construction when the annual investment scale corresponding to the primary selection project library is determined to meet the preset annual investment requirement; and planning the urban and rural infrastructure construction project of the next year based on the annual project library. By implementing the method, the construction planning and compiling efficiency and level can be improved.
Description
Technical Field
The invention relates to the technical field of intelligent planning and compiling, in particular to a multi-source collaborative construction planning and compiling method and device.
Background
At present, in the planning and compiling work of urban and rural construction, in the basic analysis stage, data from multiple industries such as urban construction, traffic, water service, gardens, city management, natural resources and planning are collected, so that the analysis process is long in time consumption and low in efficiency due to multiple information sources and huge data volume. Due to the fact that certain space-time relevance exists among different construction projects, the conventional working platform cannot well process the synergistic relationship among the projects, and the problems of poor analysis effect and unreasonable construction arrangement exist.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a multi-source collaborative construction planning compiling method and device aiming at the technical problems that information sources are many, data quantity is huge, the collaborative relationships among all projects cannot be processed well, the analysis effect is poor, and the construction arrangement is unreasonable.
The technical scheme adopted by the invention for solving the technical problems is as follows: a multi-source collaborative construction planning compilation method is constructed and applied to computer equipment, and the method comprises the following steps:
the conversion module determines the road current situation and the planning situation of each target road object and converts each target road object into project information data, wherein the project information data comprise under-construction project information determined based on the road current situation and newly-added project information determined based on the planning situation, and the newly-added project information comprises maintenance project information, reconstruction project information and newly-built project information;
the construction module constructs a primary selection project library based on the newly added project information, and constructs a target annual project library based on the primary selection project library and the under-construction project information when the annual investment scale corresponding to the primary selection project library meets the preset annual investment requirement;
and the planning module plans the urban and rural infrastructure construction project of the next year based on the annual project library.
The application discloses multisource is construction planning in coordination establishment device, the device is including conversion module, construction module and planning module, wherein:
the conversion module is used for determining the road current situation and the planning situation of each target road object and converting each target road object into project information data, wherein the project information data comprises construction project information determined based on the road current situation and newly added project information determined based on the planning situation, and the newly added project information comprises maintenance project information, reconstruction project information and newly created project information;
the construction module is used for constructing a primary selection project library based on the newly added project information, and constructing a target annual project library based on the primary selection project library and the under-construction project information when the annual investment scale corresponding to the primary selection project library meets the preset annual investment requirement;
and the planning module is used for planning the urban and rural infrastructure construction projects of the next year based on the annual project library.
By implementing the multi-source collaborative construction planning method and the multi-source collaborative construction planning device, each target road object is converted into a specific project based on the road current situation and the planning state of each target road object, convenience is provided for subsequent planning and planning, and planning efficiency is improved. In the data screening stage, the current situation, planning and other multi-source data are fused through a unified platform, and the problem that in the past, due to the lack of the unified platform, the planning efficiency is low due to the fact that the manual processing flow is complicated and omitted is solved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a flowchart of a multi-source collaborative construction planning compilation method in an embodiment of the present invention;
fig. 2 is a schematic overall flow chart of a multi-source collaborative construction planning compilation method in an embodiment of the present invention;
fig. 3 is a schematic logic analysis diagram of a multi-source collaborative construction planning method according to an embodiment of the present invention;
FIG. 4 is an exemplary diagram of an item composite score ordering;
FIG. 5 is an illustration of a statistical representation of an annual project library;
fig. 6 is a system configuration diagram of a multi-source collaborative construction planning device according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
In an embodiment, as shown in fig. 1, a multi-source collaborative construction planning method is provided, which is described by taking an example that the method is applied to a computer device (the computer device may specifically be a terminal or a server, and the terminal may specifically be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers, and the server may be an independent server or a server cluster composed of a plurality of servers), and includes the following steps:
step S100, the conversion module determines the road current situation and the planning situation of each target road object, and converts each target road object into project information data, wherein the project information data comprises the under-construction project information determined based on the road current situation and the newly-added project information determined based on the planning situation, and the newly-added project information comprises maintenance project information, reconstruction project information and newly-built project information.
The project information is corresponding to the road project under construction; the maintenance project information corresponds to the established road project, and of course, the maintenance project information may correspond to the road project finished in the last year or the road project finished several years ago. It should be noted that, in response to external data that has been entered into the corresponding platform database in advance, for example, the service life of a road, a road surface detection result, and the like, the platform database may automatically calculate according to a preset method, generate a maintenance demand degree, and automatically determine whether a current road is converted into a maintenance project according to a preset standard based on the maintenance demand degree. The reconstruction and extension project information corresponds to the technical attribute of the current road which is not consistent with the upper planning requirement, for example, if the current road is a branch road and a bidirectional 2-lane road, but the planning requirement is a secondary main road and a bidirectional 4-lane road, the current road is converted into the reconstruction and extension project. The new project information corresponds to a road project which is planned but not present.
Specifically, the determining the road status of each target road object includes: acquiring the current data information of the target road object, and determining the road current situation corresponding to each target road based on the current data information; the current data information includes road grade, road red line width, road length and road specific trend.
It should be noted that the road status shows which roads are constructed and which roads are under construction in the urban road, and these status (including the basic conditions of the constructed and under-constructed roads) are reflected. For example, Baidu maps, Gade maps, and the like all show the current road situation.
In one embodiment, the computer device performs the acquisition of the road presence based on an established presence database, wherein the basic data stored in the presence database includes: road names, road classes (e.g., freeways, expressways, trunks, sub-trunks, branches, etc.), road redline widths, road lengths, road specific trends (e.g., spatial coordinate data), etc. For example, when storing the segment attribute information of "the coastal road" in the presence database, the coastal road is divided into 4 segments. Therefore, 4 segments are divided from the presence database, and link attribute information is stored in each of the divided segments. Illustratively, the link attribute information required to be stored in advance includes a road red line width: 30 meters, road length: 1.76 km, road status rating: branch (grade 1= 5), road plan level: secondary trunk road (grade2=4), road direction: located in the east-west lake region (locate =420112), space coordinate data ([ [114.143191,30.6715814], [114.1444677,30.6709308], [114.1458088,30.6701741], [114.1461146,30.6700403], [114.1464579,30.6699388], [114.1467315,30.6698834], [114.147107,30.6698361], [114.147622,30.6698927], [114.1497678,30.6704417], [114.1503954,30.6705571], [114.1509533,30.6706032], [114.1517472,30.6706217], [114.1531795,30.6705478], [114.1546695,30.6704694], [114.1556418,30.6703864], [114.1565484,30.6702987], [114.1577125,30.6701187], [114.1592789,30.6698096], [114.1601157,30.6696343], [114.1608842,30.6695985] ].
Specifically, determining the planning status of each target road object includes: acquiring a target upper level plan, and determining a planning state corresponding to each target road based on urban road planning information included in the target upper level plan; the target upper-level planning comprises urban overall planning, comprehensive traffic planning and controlled detailed planning; and/or acquiring the target thematic road network planning information, and determining the planning condition corresponding to each target road based on the road network construction scheme included in the target thematic road network planning information.
In one aspect, it should be noted that the upper level plan includes, but is not limited to, a city overall plan, a comprehensive traffic plan, a controlled detailed plan, and the like, and the upper level plan is a series of files guiding city construction development. In one embodiment, the computer device performs data analysis on the acquired upper level plan to obtain data information such as urban road planning layout, road planning grade and the like. The computer device may store the acquired parsed data in a corresponding planning database. Subsequently, the computer device only needs to make a data request to the planning database, and the planning status of each target road object can be further determined.
On the other hand, it should be noted that when the current superordinate plan cannot meet the new requirements generated by the recent development changes, some projects need to be newly planned to support the new requirements, so that it is not comprehensive to analyze the superordinate plan only, and in the current embodiment, the latest thematic plan (i.e., the target thematic road planning information) needs to be analyzed. Wherein thematic plans are generally directed to specific areas, and more specifically to road objects. For example, a certain area does not belong to a key development area in the current urban general planning, and the planned road network in the area is less. Recently, after the area is determined as an important development area, a special road network planning study is performed, a road network construction scheme is further formulated, and the road network construction scheme is further stored in the planning database after being subjected to data analysis. Of course, in the current embodiment, in order to ensure uniformity of data, the currently analyzed data may also be stored in other databases, which is not limited in this embodiment.
And S101, a construction module constructs a primary selection project library based on the newly added project information, and constructs a target annual project library based on the primary selection project library and the information of the project under construction when the annual investment scale corresponding to the primary selection project library meets the preset annual investment requirement.
Specifically, the constructing of the primary selection project library based on the newly added project information includes: classifying the project information under construction into a uniform first set, and taking the counted first set as a project pool under construction; classifying the newly added item information into a unified second set, and taking the counted second set as a newly added item pool; performing priority ranking on each construction project in the newly-added project pool based on a quantitative scoring system to obtain a corresponding ranking update project pool; determining a screening quantity a based on the annual investment scale, and screening a target construction projects with a priority levels higher than the priority levels from a sequencing updating project pool; and constructing a primary selection project library based on the plurality of target construction projects obtained through screening.
In one embodiment, referring to fig. 2 and 3, for the under-construction project pool, the computer device prioritizes the continued construction considering all the construction projects in the under-construction project pool. Most construction projects in the newly-added project pool are not required to be arranged in the recent construction, the total investment of a project year exceeds the requirement of annual investment limit of the government due to the limitation of the government financial capacity and other factors, the demand degree of the projects is different, and some projects are not required to be arranged in the next year or the recent construction, such as areas which are not developed recently. Therefore, in the current embodiment, the computer device scores each construction project in the newly added project pool through a pre-constructed quantitative evaluation system, and performs priority ranking on each construction project in the newly added project pool through a scoring result to obtain a corresponding ranking update project pool. It should be noted that the first construction project arranged at the forefront in the sorted update project pool has the highest priority, that is, the first construction project has the highest score, and the last construction project arranged at the rearmost has the lowest priority, that is, the last construction project has the lowest score. Referring to fig. 4, it can be seen from fig. 4 that the total score of the road item 3 is the highest, so the ranking rank corresponding to the road item 3 is "1", i.e., the ranking is the first, and the total score of the road item 5 is the lowest, so the ranking rank corresponding to the road item 5 is "9", i.e., the ranking is the last.
It should be noted that the key reason for performing item screening based on the annual investment scale in this embodiment is that government investment in infrastructure construction is influenced by conditions such as government financial income. For example, the annual financial income of governments is 400 billion, with 130 billion being directly used for expenses in infrastructure construction. Then, when making financial plan listings for the next year, infrastructure construction investment expenses for the next year may be arranged at a level of 130- > 150 billion, as predicted by data such as financial income growth over the years. Under the limitation of the investment scale, the items screened by the item library are limited, and after sorting, the annual average investment scale of the selected a items is not more than 150 hundred million and not less than 130 hundred million. If the budget is exceeded, the budget expenditure is exceeded, and if the budget expenditure is not completed, the budget arrangement of the next year is influenced. Because the method is automatically and iteratively calculated by computer equipment when the project is initially selected, when the numerical value of a is selected from a small value, the total number of the projects selected in the first rounds is not large, and the annual average investment scale of the project is less than the annual investment control scale in a large possibility. And therefore require constant iteration. When the iteration is close to the upper limit value of the investment control scale range (for example, the difference is less than 5%), the number of the projects entering the primary project library is required.
In the embodiment, in the project screening stage, the selection sequence of the projects is prevented from being determined based on the subjective judgment of technicians, and the scientificity and the rationality of project screening are improved based on a quantitative evaluation method.
And step S102, the planning module plans the urban and rural infrastructure construction projects of the next year based on the annual project library.
Specifically, referring to fig. 2 and fig. 3, after the project decision phase, the computer device obtains an adjusted project library, i.e. an annual project library (an example of the project library may refer to fig. 5), which is to be used as a construction guide file for urban and rural infrastructure construction projects in the next year of the city. Wherein, the annual project library can be exported from the computer equipment in file types of excel, word and the like.
According to the multi-source collaborative construction planning and compiling method, each target road object is converted into a specific project based on the road current situation and the planning state of each target road object, convenience is provided for subsequent planning and compiling, and planning efficiency is improved. In the data screening stage, the current situation, planning and other multi-source data are fused through a unified platform, and the problem that in the past, due to the lack of the unified platform, the planning efficiency is low due to the fact that the manual processing flow is complicated and omitted is solved.
In one embodiment, the project information data comprises a road current situation grade, a road planning red line width, a road planning length, a conversion project type, a total project investment and a construction period; and calculating the average annual investment of the project according to the total investment and the construction period of the frame calculation project.
Specifically, after the computer device performs a basic analysis on the road status and the planning status of each target road object, each target road object is converted into a specific project, which is shown in table 1 below:
as can be seen from table 1, the specific items obtained by the conversion include: the method comprises the steps of project type, total project investment and construction period calculation, and the like, wherein the average annual investment of the project can be automatically calculated by computer equipment according to the total project investment and the construction period calculation. Of course, the above examples only list some attribute information of the items, and the embodiments of the present application do not limit this.
In one embodiment, the quantitative scoring system is determined based on the attention index, the urgency index, the importance index, and the index weights assigned to the respective indexes, wherein:
the attention indicator is determined based on a government attention first factor, an industry attention first factor, a social attention first factor, and a first weight assigned to the first factor.
In particular, the computer device marks the attention index asTThe attention index including 3 first factors is respectively marked asa、bAndcthe weight assigned to each first factor isw 1、w 2Andw 3. In one embodiment, the calculation formula of the attention index is expressed as:
in one embodiment:
(1) the first factor for government interest will be quantified scores in terms of government interest levels for specific projects, or related content of the project, wherein the scoring results at different levels are shown in table 2 below:
(2) for the first factor of the industry attention, quantitative scoring is carried out according to the quantity statistics of personal suggestions, government and association proposals, enterprise and public institution opinions and the like of specific projects or related contents of the projects, wherein scoring results of different times are shown in the following table 3:
(3) for the first factor of social attention, the social complaint suggestions of specific projects or related contents of the projects are counted through a channel such as a hotline telephone, and quantitative scoring is performed according to the number of times, wherein the scoring results of different times are shown in the following table 4:
in one embodiment, the weights assigned to the respective first factors take the following values: the government attention weight is 0.4, the industry attention weight is 0.4, and the social attention weight is 0.2 (of course, in different embodiments, the weight value of each first factor can be flexibly adjusted, and the embodiment of the present application does not limit this). As shown in table 5 below, table 5 shows that the overall score of the attention degree of road item 3 is the highest:
the urgency index is determined based on the second factor for the recruitment quotation complement, the second factor for the safety guarantee complement, the second factor for the major traffic complement, and the second weight assigned to each of the second factors.
Specifically, the computer device marks the urgency index asJThe urgency index including 3 second factors is respectively labeledd、eAndfthe weights assigned to the respective second factors are respectivelyw 4、w 5Andw 6. In one embodiment, the calculation formula of the attention index is expressed as:
in one embodiment:
(1) and for the second factor of the recruitment quotation matching, quantitative scoring is carried out according to the quotation scale according to whether the specific project or the related content of the project is the recruitment quotation matching project or not. For example, as shown in table 6, since the road item for a high and new technology enterprise belongs to the recruitment investment supporting project, and the size of the recruitment investment project for the high and new technology enterprise is greater than 10 yen, the road item is given 5 points.
(2) And for the second factor matched with the safety guarantee, carrying out quantitative grading according to the safety guarantee level according to whether the related content of the specific project or the related project is the safety guarantee matched project or not. For example, as shown in table 7, since a certain river road is a mating engineering of a dike in the Yangtze river, and belongs to a major safety guarantee mating at the city level and above, the road project is given a score of 5.
(3) And for the second factor of the major traffic matching, carrying out quantitative scoring according to the category of the major traffic engineering according to whether the specific project or the related project related content is the major traffic matching engineering or not. For example, as shown in table 8, since the road item around a certain railway station is the train station supporting project and the railway station is the outward junction, the road item is given a score of 5.
In one embodiment, the weights assigned to the respective second factors take the following values: the supporting weight of the recruitment quotation is 0.3, the supporting weight of the safety guarantee is 0.3, and the supporting weight of the major traffic is 0.4 (of course, in different embodiments, the weight value of each second factor can be flexibly adjusted, and the embodiment of the present application does not limit the weight value). As shown in table 9 below, table 9 shows that the integrated score of the urgency level of the road item 6 is the highest:
the importance indicator is determined based on a third factor of the road planning level, a third factor of the coverage status quo population position, a third factor of the coverage planning population position, and a third weight assigned to each third factor.
Specifically, the computer device marks the importance index asZThe attention index including 3 third factors is respectively markedg、hAndithe weight assigned to each third factor isw 7、w 8Andw 9. In one embodiment, the calculation formula of the attention index is expressed as:
in one embodiment:
(1) and for the third factor of the road planning grade, scoring according to the planning road grade of a specific project. And (4) scoring the road reference urban road, such as national road, provincial road reference main road and secondary main road, and county road reference secondary branch road. Wherein the scoring format is shown in table 10 below:
(2) and for the third factor covering the current situation population posts, scoring is carried out according to the quantity of the sum of the current situation frequent population quantity and employment post quantity of the area covered by the 500-meter buffer range along the specific project. For example, as shown in table 11, in a road item in the center of a city, the current population of the living is 1 ten thousand within 500 m of the line of the item, and the total number of employment sites is 1.5 ten thousand when the number of employment sites is 0.5 ten thousand, so that the road item is given 1 point.
(3) And for the third factor covering the planned population posts, scoring according to the quantity of the sum of the planned constant population quantity and the employment post quantity of the area covered by the 500-meter buffer range along the specific project. For example, as shown in table 12, since a certain road project in an area to be developed in the periphery of a city is developed on a large scale in the future according to a superordinate plan, the plan in the range is always 5 ten thousand in population, the employment shift number plan is 1 ten thousand, and the total is 6 ten thousand, the road project is divided into 2 points.
In one embodiment, the weights assigned to the respective third factors take the following values: the weight of the road planning level is 0.5, the weight of the coverage status population post is 0.3, and the weight of the coverage planning population post is 0.2 (of course, in different embodiments, the weight value of each third factor can be flexibly adjusted, which is not limited in the embodiments of the present application). As shown in table 13 below, table 13 shows that the importance degree composite score of the road item 7 is the highest:
in this embodiment, the index weight assigned to each index by the computer device is: 0.35, 0.4, and 0.25 (of course, in different embodiments, the value of each index weight may be flexibly adjusted, which is not limited in the embodiments of the present application), and the comprehensive score S obtained by calculation is:
wherein the content of the first and second substances,
respectively, the index weights assigned to the respective indexes. In one embodiment, the composite score result calculated by the computer device is shown in table 14, and the subsequent computer devices sort the construction projects in the newly added project pool according to the composite score result in descending order. For example, see the following table, road items 1 through 9 are combined and ranked, and road item 3 is combinedDivide into 3.13, order 1:
in the embodiment, in the project screening stage, the selection sequence of the projects is prevented from being determined based on the subjective judgment of technicians, and the scientificity and the rationality of project screening are improved based on a quantitative evaluation method.
In one embodiment, when it is determined that the annual investment scale of the primary selection project library meets the preset annual investment requirement, the method for constructing the target annual project library based on the primary selection project library and the project information under construction comprises the following steps:
judging whether the annual investment scale of the primary selection project library meets the preset annual investment requirement or not, readjusting the value of the screening quantity a when the annual investment scale of the primary selection project library is determined not to meet the preset annual investment requirement, and updating the primary selection project library based on the adjusted screening quantity a.
Specifically, the preset annual investment requirement is that the next annual investment scale is required to be 1500-1850 billion yuan, the iteration number is n, and the step size is 100. When n =1, representing the 1 st iteration, the computer device will select the first 1 × 100=100 construction projects from the sorted updated project pool, and construct a primary selection project library based on the currently selected 100 construction projects. In this case, the annual investment scale of the project is calculated to be about 129 billion yuan, and this value does not meet the annual investment scale requirement of the next year. Therefore, the computer device will re-determine the value of n, for example, 2 or 4 may be sequentially obtained, which means that the nth iteration process is entered, the primary selection project library is updated, and the annual investment scale of the updated primary selection project library is re-determined whether the annual investment requirement is met. For example, see table below, when n =16, it indicates that, through the 16 th iteration, the computer device will select the first 16 × 100 construction items from the sorted updated project pool and construct the primary selection project library based on the currently selected 1600 construction items. At this time, the annual investment scale of the project is calculated to be about 1820 billion yuan, since the value belongs to the control range of the annual investment scale of the next project and is very close to the upper limit of the range (for example, the difference is less than 5%), that is, the number of projects entering the primary project library meets the requirement, the iteration is stopped:
and when the annual investment scale of the primary selection project library is determined and the preset annual investment requirement is met, constructing the undetermined annual project library based on the primary selection project library and the project information under construction.
Specifically, the computer device merges the initially selected project library and the project information under construction, and takes the merged project library as a project library of the undetermined year. Of course, the computer device may also use other manners to construct the pending annual project library, such as splicing, which is not limited in this embodiment of the present application.
And when the undetermined annual item library is determined to meet the preset decision conditions, taking the undetermined annual item library as a target annual item library.
Specifically, the preset decision conditions include that each construction project in the undetermined annual project library obtains formal approval of governments and related departments through examination and consultation of governments and related departments at all levels, or each construction project in the undetermined annual project library.
And when the undetermined annual project library is determined not to meet the preset decision condition, dynamically adjusting each construction project included in the undetermined annual project library so as to enable the undetermined annual project library to meet the preset decision condition.
Specifically, when dynamically adjusting each construction project included in the to-be-determined annual project library, the computer device may remove a construction project which does not satisfy a preset decision condition from the to-be-determined annual project library, and/or add a new project which is out of the construction project pool and the newly-added project pool to the to-be-determined annual project library, and/or add an alternative construction project which is out of the target construction project in the newly-added project pool to the to-be-determined annual project library, so as to update the to-be-determined annual project library.
In the embodiment, the planning efficiency is improved by processing the cooperativity among different construction projects.
In one embodiment, as shown in fig. 6, a multi-source collaborative construction planning apparatus 600 is provided, which includes a transformation module 601, a construction module 602, and a planning module 603, wherein:
the conversion module 601 is configured to determine a current road status and a planning status of each target road object, and convert each target road object into project information data, where the project information data includes information of a project under construction determined based on the current road status, and information of a new project determined based on the planning status, and the information of the new project includes information of a maintenance project, information of a reconstruction project, and information of a new project.
And the building module 602 is configured to build a primary selection project library based on the newly added project information, and when it is determined that the annual investment scale corresponding to the primary selection project library meets a preset annual investment requirement, build a target annual project library based on the primary selection project library and the under-construction project information.
And the planning module 603 is configured to plan the urban and rural infrastructure construction project of the next year based on the annual project library.
In one embodiment, the conversion module 601 is further configured to obtain current data information of the target road object, and determine a road current status corresponding to each target road based on the current data information; the current data information comprises road grade, road red line width, road length and road specific trend;
the conversion module 601 is further configured to obtain a target upper level plan, and determine a planning status corresponding to each target road based on urban road planning information included in the target upper level plan; the target upper-level planning comprises urban overall planning, comprehensive traffic planning and controlled detailed planning; and/or acquiring the target thematic road network planning information, and determining the planning condition corresponding to each target road based on the road network construction scheme included in the target thematic road network planning information.
In one embodiment, the construction module 602 is further configured to classify the project under construction information into a unified first set, and use the first set after statistics as a project under construction pool; classifying the newly added item information into a unified second set, and taking the counted second set as a newly added item pool; performing priority ranking on each construction project in the newly-added project pool based on a quantitative scoring system to obtain a corresponding ranking update project pool; determining a screening quantity a based on the annual investment scale, and screening a target construction projects with a priority levels higher than the priority levels from a sequencing updating project pool; and constructing a primary selection project library based on the plurality of target construction projects obtained through screening.
In one embodiment, the building module 602 is further configured to determine a quantitative scoring system based on the attention index, the urgency index, the importance index, and the index weights assigned to the respective indexes.
In one embodiment, the building module 602 is further configured to determine the attention indicator based on a government attention first factor, an industry attention first factor, a social attention first factor, and a first weight assigned to each first factor.
In one embodiment, the building module 602 is further configured to determine the urgency indicator based on the second factors of the recruitment quotation complement, the second factors of the safety and safety insurance complement, the second factors of the major traffic complement, and the second weights assigned to the respective second factors.
In one embodiment, the building module 602 is further configured to determine the importance indicator based on a third factor of the road planning level, a third factor of the coverage status quo population position, a third factor of the coverage planning population position, and a third weight assigned to each third factor.
In one embodiment, the constructing module 602 is further configured to determine whether the annual investment scale of the primary selection project library meets a preset annual investment requirement, readjust the value of the screening amount a when it is determined that the annual investment scale of the primary selection project library does not meet the preset annual investment requirement, and update the primary selection project library based on the adjusted screening amount a; when the annual investment scale of the primary selection project library is determined and the preset annual investment requirement is met, constructing an undetermined annual project library based on the primary selection project library and the project information under construction; when the undetermined annual item library is determined to meet the preset decision conditions, taking the undetermined annual item library as a target annual item library; and when the undetermined annual project library is determined not to meet the preset decision condition, dynamically adjusting each construction project included in the undetermined annual project library so as to enable the undetermined annual project library to meet the preset decision condition.
The application discloses multisource collaborative construction planning establishment device turns into specific project with each target road object based on the road current situation and the planning state of each target road object, provides convenience for follow-up planning establishment, has improved planning efficiency. In the data screening stage, the current situation, planning and other multi-source data are fused through a unified platform, and the problem that in the past, due to the lack of the unified platform, the planning efficiency is low due to the fact that the manual processing flow is complicated and omitted is solved.
The multi-source collaborative construction planning method and the multi-source collaborative construction planning device are implemented on the basis of computer equipment, and each target road object is converted into a specific project on the basis of the road current situation and the planning state of each target road object, so that convenience is provided for subsequent planning and planning, and the planning efficiency is improved. In the data screening stage, the current situation, planning and other multi-source data are fused through a unified platform, and the problem that in the past, due to the lack of the unified platform, the planning efficiency is low due to the fact that the manual processing flow is complicated and omitted is solved.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A multi-source collaborative construction planning compilation method is applied to computer equipment and is characterized by comprising the following steps:
the conversion module determines the road current situation and the planning situation of each target road object and converts each target road object into project information data, wherein the project information data comprise under-construction project information determined based on the road current situation and newly-added project information determined based on the planning situation, and the newly-added project information comprises maintenance project information, reconstruction project information and newly-built project information;
the construction module constructs a primary selection project library based on the newly added project information, and constructs a target annual project library based on the primary selection project library and the under-construction project information when the annual investment scale corresponding to the primary selection project library meets the preset annual investment requirement;
and the planning module plans the urban and rural infrastructure construction project of the next year based on the annual project library.
2. The method according to claim 1, wherein the conversion module determines the road status quo of each target road object, and specifically comprises the steps of:
acquiring the current data information of the target road object, and determining the road current situation corresponding to each target road based on the current data information; the current data information comprises road grade, road red line width, road length and road specific trend;
the determining the planning condition of each target road object comprises:
acquiring a target upper level plan, and determining a planning state corresponding to each target road based on urban road planning information included in the target upper level plan; the target upper-level planning comprises urban overall planning, comprehensive traffic planning and controlled detailed planning;
and/or the presence of a gas in the gas,
and acquiring target thematic road network planning information, and determining the planning condition corresponding to each target road based on the road network construction scheme included in the target thematic road network planning information.
3. The method according to claim 1, wherein the project information data comprises road status quo grades, road planning red line widths, road planning lengths, conversion project types, total estimate project investment and construction periods; and calculating the average annual investment of the project according to the total investment and the construction period of the frame calculation project.
4. The method according to claim 1, wherein the construction module constructs a primary selection project library based on the information of the newly added project, and specifically comprises the following steps:
classifying the project information under construction into a uniform first set, and taking the counted first set as a project pool under construction;
classifying the newly added item information into a unified second set, and taking the counted second set as a newly added item pool;
performing priority ranking on each construction project in the newly-added project pool based on a quantitative scoring system to obtain a corresponding ranking update project pool;
determining a screening quantity a based on the annual investment scale, and screening a target construction projects with a priority levels higher than the priority levels from the sequencing updating project pool;
and constructing a primary selection project library based on the plurality of target construction projects obtained through screening.
5. The method of claim 4, wherein the building block quantitative score system is determined based on a focus index, an urgency index, an importance index, and an index weight assigned to each index, wherein:
the attention index is determined based on a government attention first factor, an industry attention first factor, a social attention first factor and a first weight assigned to each first factor;
the urgency index is determined based on a second factor for an enrollment quotation complement, a second factor for a safety guarantee complement, a second factor for a major traffic complement, and second weights assigned to the second factors;
the importance indicator is determined based on a third factor of the road planning level, a third factor of the coverage status quo population position, a third factor of the coverage planning population position, and a third weight assigned to each third factor.
6. The method according to claim 4, wherein the construction module constructs a target annual project library based on the preliminary project library and the project-under-construction information when it is determined that the annual investment scale of the preliminary project library meets a preset annual investment requirement, and specifically comprises the following steps:
judging whether the annual investment scale of the primary selection project library meets a preset annual investment requirement or not, readjusting the value of the screening quantity a when the annual investment scale of the primary selection project library is determined not to meet the preset annual investment requirement, and updating the primary selection project library based on the adjusted screening quantity a;
when the annual investment scale of the primary selection project library is determined and the preset annual investment requirement is met, constructing an undetermined annual project library based on the primary selection project library and the under-construction project information;
when the undetermined annual item library is determined to meet a preset decision condition, taking the undetermined annual item library as a target annual item library;
when the undetermined annual project library is determined not to meet the preset decision condition, dynamically adjusting each construction project included in the undetermined annual project library so as to enable the undetermined annual project library to meet the preset decision condition.
7. The utility model provides a multisource collaborative construction planning establishment device which characterized in that, the device includes conversion module, construction module and planning module, wherein:
the conversion module is used for determining the road current situation and the planning situation of each target road object and converting each target road object into project information data, wherein the project information data comprises construction project information determined based on the road current situation and newly added project information determined based on the planning situation, and the newly added project information comprises maintenance project information, reconstruction project information and newly created project information;
the construction module is used for constructing a primary selection project library based on the newly added project information, and constructing a target annual project library based on the primary selection project library and the under-construction project information when the annual investment scale corresponding to the primary selection project library meets the preset annual investment requirement;
and the planning module is used for planning the urban and rural infrastructure construction projects of the next year based on the annual project library.
8. The apparatus of claim 7, wherein the conversion module is further configured to obtain presence data information of the target road object, and determine a road presence corresponding to each target road based on the presence data information; the current data information comprises road grade, road red line width, road length and road specific trend;
the conversion module is further used for acquiring a target upper level plan and determining a planning state corresponding to each target road based on urban road planning information included in the target upper level plan; the target upper-level planning comprises urban overall planning, comprehensive traffic planning and controlled detailed planning; and/or acquiring target special road network planning information, and determining the planning condition corresponding to each target road based on a road network construction scheme included in the target special road network planning information.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114896523A (en) * | 2022-04-13 | 2022-08-12 | 广州市白云区城市规划设计研究所 | Road planning method and device based on country tourism line |
| CN117252707A (en) * | 2023-11-14 | 2023-12-19 | 国网吉林省电力有限公司经济技术研究院 | Power grid project investment optimization method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130339078A1 (en) * | 2012-06-18 | 2013-12-19 | Coaxis, Inc. | System and method linking building information modeling and enterprise resource planning |
| CN108122047A (en) * | 2017-11-23 | 2018-06-05 | 国网浙江省电力有限公司 | A kind of planing method of five in one formula underground electric pipeline |
| CN110782178A (en) * | 2019-11-01 | 2020-02-11 | 北京航空航天大学 | Traffic network planning aid decision-making method and device |
| CN112905721A (en) * | 2019-12-03 | 2021-06-04 | 中国电建集团西北勘测设计研究院有限公司 | Database system for sponge city construction projects |
| CN112906937A (en) * | 2021-01-18 | 2021-06-04 | 陈潇潇 | Smart city with intelligent traffic and road thereof by utilizing cobweb bionic law |
-
2021
- 2021-08-23 CN CN202110967851.3A patent/CN113421037A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130339078A1 (en) * | 2012-06-18 | 2013-12-19 | Coaxis, Inc. | System and method linking building information modeling and enterprise resource planning |
| CN108122047A (en) * | 2017-11-23 | 2018-06-05 | 国网浙江省电力有限公司 | A kind of planing method of five in one formula underground electric pipeline |
| CN110782178A (en) * | 2019-11-01 | 2020-02-11 | 北京航空航天大学 | Traffic network planning aid decision-making method and device |
| CN112905721A (en) * | 2019-12-03 | 2021-06-04 | 中国电建集团西北勘测设计研究院有限公司 | Database system for sponge city construction projects |
| CN112906937A (en) * | 2021-01-18 | 2021-06-04 | 陈潇潇 | Smart city with intelligent traffic and road thereof by utilizing cobweb bionic law |
Non-Patent Citations (3)
| Title |
|---|
| 朱敏 等: "城市道路工程建设项目的优先排序— — 以编制天津中心城区2000年～ 2010年干道路网建设计划为例", 《城市道桥与防洪》 * |
| 苑少伟 等: "工程建设项目审批制度改革背景下的近期建设规划编制方法研究——以广州市道路近期建设规划为例", 《城市交通》 * |
| 郝生凤 等: "武汉市综合管廊与轨道交通、城市道路建设统筹研究", 《城市道桥与防洪》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114896523A (en) * | 2022-04-13 | 2022-08-12 | 广州市白云区城市规划设计研究所 | Road planning method and device based on country tourism line |
| CN114896523B (en) * | 2022-04-13 | 2023-02-28 | 广州市白云区城市规划设计研究所 | Road planning method and device based on country tourism line |
| CN117252707A (en) * | 2023-11-14 | 2023-12-19 | 国网吉林省电力有限公司经济技术研究院 | Power grid project investment optimization method and device |
| CN117252707B (en) * | 2023-11-14 | 2024-02-09 | 国网吉林省电力有限公司经济技术研究院 | Power grid project investment optimization method and device |
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