CN108074013B - Space saturation load prediction method and tool - Google Patents
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Abstract
The invention discloses a space saturation load prediction method and a tool, which are used for processing a plot map based on graph processing software and numbering software on the premise of not using other plug-ins, objectifying multiple sections of common plots, increasing custom attributes, numbering the plots to enable the graph objects to correspond to table data one by one, then selecting prediction data of plot parameters and predicting a distant view saturation load, wherein the prediction result can be conveniently used for planning other links of a distribution network. The method uses the numbers to correspond the load prediction results to the block objects in the graphic processing software one by one, and then the maximum load of a certain area can be calculated by utilizing the inter-industry synchronization rate, so that the positioning troubleshooting can be conveniently carried out when the data processing is wrong, and the readjustment is convenient when the prediction results are unreasonable; all the land object data are uniformly managed by the tool, so that the workload and the possibility of errors are reduced; the situation that part of block information is lost in the traditional load prediction mode is avoided.
Description
Technical Field
The invention relates to the technical field of load prediction of a power system, in particular to a space saturation load prediction method and a tool.
Background
The long-range spatial saturation load prediction is an important link of power distribution network planning, is an important basis of substation placement, power grid layout and station channel planning, is accurate, and plays an important role in subsequent substation site selection, power distribution network layout, switch station site selection and planning grid frame evaluation.
In the traditional spatial load prediction, the plot data is led into an Excel table by means of a series of lisp gadgets, the plot load is calculated, and then the load result is distributed into a CAD file in a form of a single-line text. This approach has three disadvantages: the load prediction result in the Excel table does not have a direct corresponding relation with the plot object in the CAD file, and the total load of the plot in a certain area is difficult to count; the load result distributed in the graph is only a text, corresponds to a land parcel object through the coordinate, loses information such as land property, attribute and the like of the land parcel, and cannot provide support for calculation such as staggered peak calculation, public and special load statistics and the like of load division of a subsequent region; the processing workload of the land parcel data is huge, and the land parcel data is difficult to position and check when errors occur, so that the time consumption of load prediction is long, and the adjustment of a prediction result is difficult.
Due to the three defects, the long-range spatial saturation load prediction is time-consuming, labor-consuming and easy to make mistakes, and the subsequent result is difficult to be directly applied to the subsequent work flow.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a method and a tool for predicting a spatial saturation load, and aims to solve the problems that the total load of a block in a certain area is difficult to count due to the fact that a block object and data do not have a strict corresponding relation in a traditional load prediction mode, the intellectualization is not high and attribute information is lost due to the fact that switching between different software is needed manually, and the problems that positioning and troubleshooting are inconvenient and the prediction result is difficult to adjust when data processing is wrong.
The purpose of the invention is realized by adopting the following technical scheme:
a spatial saturation load prediction method comprises the following steps:
a map acquisition step of acquiring a map;
a land parcel processing step, which is used for checking the problem land parcel in the land parcel map and correcting the problem land parcel;
a land block numbering step, namely acquiring basic attribute information of each land block and importing the basic attribute information of all the land blocks into numbering software; numbering the plots through numbering software; importing the plot numbers into graphic processing software;
an index selection step of selecting prediction data for the block parameters of each block;
and a saturated load prediction step, namely predicting the distant view saturated load of each land block according to the prediction data of the land block parameters.
On the basis of the above embodiment, further, the method further includes:
adjusting, namely judging whether the prediction result of the distant view saturation load of each land block is reasonable; if the judgment result of the land parcel is unreasonable, the prediction data of the land parcel parameters of one or more land parcels are adjusted, and the long-term saturation load of each land parcel is predicted again according to the adjusted prediction data of the land parcel parameters.
On the basis of the above embodiment, further, the method further includes:
and repeating the adjusting step until the prediction result of the perspective saturation load of each land block is reasonable.
On the basis of any of the above embodiments, further comprising:
an importing step, importing the plot information into the graphic processing software according to the plot number; the plot information includes a plot property code, a volume rate, a coincidence rate, and a perspective saturation load for each plot.
On the basis of any of the above embodiments, further, the map is composed of closed multi-segment lines;
the land parcel processing steps specifically comprise:
checking whether a non-closed land block with the area of 0 or a repeated land block exists through graphic processing software; checking whether a plurality of closed areas or plots with repeated points exist;
closing the land parcels which are not closed, finding out reasons for the land parcels with the area of 0, processing the land parcels, and deleting repeated land parcels; redundant areas where a plurality of closed areas exist are deleted, and duplicate points in a land parcel with duplicate points are deleted.
On the basis of any of the above embodiments, further, the tile numbering step specifically includes:
acquiring basic attribute information of each land parcel, and importing the basic attribute information of all land parcels into numbering software, wherein the basic attribute information of the land parcels comprises land parcel handles; numbering the plots through numbering software, wherein the plot numbers correspond to the plot handles one by one; and importing the block number into the graphic processing software according to the block handle.
On the basis of the above embodiment, further, the basic attribute information of the parcel also includes a parcel area and a layer name to which the parcel belongs.
On the basis of any of the above embodiments, further, the parcel parameter includes a volume rate, a load parameter and a coincidence rate; in the saturated load prediction step, the distant view saturated load of each land block is PGroundAnd then:
when the load parameter is load density, PGround＝SLand for useX load density x coincidence;
when the load parameter is the load index, PGround＝SLand for useX volume ratio x load index x coincidence rate,
wherein S isLand for useIs the plot area of each plot.
On the basis of any of the above embodiments, further, the numbering software is EXCEL, and the graphics processing software is AutoCAD.
A spatial saturation load prediction tool, comprising:
the map acquisition module is used for acquiring a map;
the plot processing module is used for checking the problem plots in the plot map and correcting the problem plots;
the plot numbering module is used for acquiring basic attribute information of each plot and importing the basic attribute information of all the plots into numbering software; numbering the plots through numbering software; importing the plot numbers into graphic processing software;
the index selection module is used for selecting prediction data for the land parcel parameters of each land parcel;
and the saturated load prediction module is used for predicting the distant view saturated load of each land block according to the prediction data of the land block parameters.
Compared with the prior art, the invention has the beneficial effects that:
the invention discloses a space saturation load prediction method and a tool, which are used for processing a plot map based on graph processing software and numbering software on the premise of not using other plug-ins, objectifying multiple sections of common plots, increasing custom attributes, numbering the plots to enable the graph objects to correspond to table data one by one, then selecting prediction data of plot parameters and predicting a distant view saturation load, wherein the prediction result can be conveniently used for planning other links of a distribution network. The load prediction results are in one-to-one correspondence with the plot objects in the graphic processing software by using the numbers, the loads are stored in the plot objects as attributes and are stored together with the attributes of the plot, such as the land property, the inter-industry synchronous rate and the like, the maximum load of a certain area can be calculated by utilizing the inter-industry synchronous rate subsequently instead of simply summarizing and summing the loads as before, and on the other hand, the positioning and checking are conveniently carried out when the data processing is wrong, the prediction results are readjusted when the data processing is unreasonable, and other data management and later-stage modification maintenance are facilitated; the inspection, management and calculation of all the land object data are automatically completed by tools, the tools uniformly manage and synchronize the data, and a user only needs to do work which cannot be completed by the tools, such as selecting load prediction indexes, adjusting the load and judging whether the load prediction result is reasonable or not, so that the user can liberate people from complicated work, more concentrate on the rationality of the load prediction result and reduce the workload and the possibility of errors; the land parcel number corresponds to the land parcel information and the basic attribute information of the land parcel one to one, so that the data loss is avoided.
Drawings
The invention is further illustrated with reference to the following figures and examples.
Fig. 1 is a schematic flow chart illustrating a method for predicting a spatial saturation load according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a spatial saturation load prediction method according to an embodiment of the present invention;
fig. 3 shows a schematic structural diagram of a spatial saturation load prediction tool according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
As shown in fig. 1 and fig. 2, an embodiment of the present invention provides a spatial saturation load prediction method, including the following steps.
A map acquisition step S101 of acquiring a map. The floor map is not limited in the embodiment of the invention, and preferably, the floor map may be composed of a plurality of closed lines. Specifically, the municipal planning map obtained in the funding stage can be processed into a map composed of simple closed multi-section lines. The embodiments of the present invention may employ different processing methods according to the specific situation of the received municipal planning drawings, and the operation output result is the basis of the input of the present invention, but the specific processing method is not within the scope of the present invention and will not be discussed here.
The plot processing step S102 checks the problem plot in the plot map, and corrects the problem plot. The problem plots are not limited in the embodiments of the present invention, and preferably, the problem plots may include an unclosed plot, a plot with an area of 0, a plot with a plurality of closed areas, a plot with a repetition point, and a repeated plot. The specific steps for checking the problem plot in the plot may be: checking whether a non-closed land block with the area of 0 or a repeated land block exists through graphic processing software; whether a plurality of closed areas or plots with repeated points exist is checked by using corresponding tools of the method. The specific steps for correcting the problem plot can be as follows: closing the land parcels which are not closed, finding out reasons for the land parcels with the area of 0, processing the land parcels, and deleting repeated land parcels; redundant areas where a plurality of closed areas exist are deleted, and duplicate points in a land parcel with duplicate points are deleted. And repeating the steps of checking the problem land blocks in the land block map and correcting the problem land blocks until no problem land blocks exist.
A land numbering step S103, wherein basic attribute information of each land is obtained, and the basic attribute information of all the lands is imported into numbering software; numbering the plots through numbering software; the tile number is imported into the graphics processing software. Specifically, basic attribute information of each parcel can be acquired, and the basic attribute information of all the parcels is imported into numbering software, wherein the basic attribute information of the parcels comprises parcel handles; numbering the plots through numbering software, wherein the plot numbers correspond to the plot handles one by one; and importing the block number into the graphic processing software according to the block handle. The embodiment of the present invention does not limit the basic property of the parcel, and preferably, the basic property of the parcel may include: area of land parcel, name of layer to which land parcel belongs, and handle of land parcel. The block handle is the basis for data in the numbering software to correspond to the block object and is used for importing the block number. When the plot numbers are imported, the correspondence between the plot objects and the basic attribute information of the plots is realized by using handles of the plot objects; after the block number is introduced, the correspondence between the block object and the basic attribute information and the block information of the block is realized by using the block number. On the other hand, the land property of the land parcel can be determined according to the name of the map layer to which the derived land parcel belongs, and the land property according to the national standard document 'urban land classification and planning construction land standard (GB 50137-2011)' includes 8 major categories of 38 minor categories of residential land, public management and public service facility land, commercial service facility land, industrial land, logistics storage land, public facility land, green land and square land and non-construction land.
An index selection step S104 selects prediction data for the block parameters of each block. The land parcel parameter is not limited in the embodiment of the invention, and preferably, the land parcel parameter may include a volume rate, a load parameter and a coincidence rate. The method for selecting the prediction data is not limited in the embodiment of the present invention, and preferably, the method may be that, according to relevant documents (for example, municipal planning data) and load research results of each region, region parameters, such as load indexes, load density, volume rate and intra-industry coincidence rate, are selected for each region; only the plot without any user information is considered here. And setting a load index and an intra-industry concurrence rate for each land property according to related files or load investigation results of the location of the planning area.
A saturation load prediction step S105 predicts a prospective saturation load of each block based on the prediction data of the block parameters.
Specifically, the perspective saturation load of each land is PGroundAnd then: when the load parameter is load density, PGround＝SLand for useX load density x coincidence; when the load parameter is the load index, PGround＝SLand for useX volume ratio x load index x coincidence ratio, where SLand for useIs the plot area of each plot.
When the load parameter of the land is the load density, calculating the saturation load of the land according to the land area; when the load parameter of the land parcel is the load index, the saturation load of the land parcel is calculated according to the building area (the building area is the land area multiplied by the volume ratio).
Preferably, the embodiment of the present invention may further include: an adjustment step S106, which judges whether the prediction result of the distant view saturation load of each land block is reasonable; if the judgment result of the land parcel is unreasonable, the prediction data of the land parcel parameters of one or more land parcels are adjusted, and the long-term saturation load of each land parcel is predicted again according to the adjusted prediction data of the land parcel parameters. Preferably, the embodiment of the present invention may further include: and repeating the adjusting step until the prediction result of the perspective saturation load of each land block is reasonable.
Preferably, the embodiment of the present invention may further include an importing step S107 of importing the parcel information into the graphics processing software according to the parcel number; the plot information includes a plot property code, a volume rate, a coincidence rate, and a perspective saturation load for each plot. According to the embodiment of the invention, after the prediction of the saturated load of the land parcel is finished, the land parcel number is used as an index, and the land parcel property, the public and special attribute, the industry type and the saturated load of the land parcel are used as the attributes of the land parcel object and are imported into the graphic processing software. And (3) using a tool to import the load prediction result (the saturated load of the land parcel) and partial attributes (the land property code, the volume rate and the inter-industry simultaneous rate) of the land parcel into the graphic processing software as attributes.
The embodiment of the invention does not limit the numbering software, and the numbering software can be EXCEL or other software with a reporting function. The embodiment of the invention does not limit the graphic processing software, and preferably, the graphic processing software can be AutoCAD. The corresponding tool of the method can export the handle, the area and the layer name of the parcel to an Excel file; numbering the land parcel data in an Excel file, wherein the rule can be DK001-DKXXX, and the numbering is not repeated by using the fast filling of Excel; and then using a tool to lead the plot number into the CAD graph as the attribute of the plot object.
According to the embodiment of the invention, on the premise of not using other plug-ins, the plot is processed based on the graphic processing software and the numbering software, multiple sections of common plots are objectified, custom attributes are added, the plots are numbered, the graphic objects correspond to the table data one by one, then the prediction data of the plot parameters are selected, the long-range saturation load is predicted, and the prediction result can be conveniently used for other links of distribution network planning. The method uses numbers to correspond load prediction results with land objects in graphic processing software one by one, loads are stored in the land objects as attributes and are stored together with the land property of the land, the inter-industry simultaneous rate and other attributes, the maximum load of a certain area can be calculated by the inter-industry simultaneous rate subsequently instead of simply summing up as before, and on the other hand, positioning troubleshooting is conveniently carried out when data processing is wrong, readjustment is carried out when the prediction results are unreasonable, and other data management and later-stage modification maintenance are facilitated; the checking, management and calculation of all the land object data are automatically completed by corresponding tools of the method, the tools uniformly manage and synchronize the data, and a user only needs to do work which cannot be completed by the tools, such as selecting load prediction indexes, adjusting the load and judging whether the load prediction result is reasonable or not, so that the user can liberate people from the complicated work, more concentrate on the reasonability of the load prediction result and reduce the workload and the possibility of errors; the land parcel number corresponds to the land parcel information and the basic attribute information of the land parcel one to one, so that the data loss is avoided.
In the first embodiment, a spatial saturation load prediction method is provided, and correspondingly, a spatial saturation load prediction tool is also provided. Because the tool embodiments are substantially similar to the method embodiments, they are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for relevant points. The tool embodiments described below are merely illustrative.
Detailed description of the invention
As shown in fig. 3, an embodiment of the present invention provides a spatial saturation load prediction tool, including:
a map acquisition module 201, configured to acquire a map;
a plot processing module 202, configured to check a problem plot in the plot and correct the problem plot;
the plot numbering module 203 is used for acquiring basic attribute information of each plot and importing the basic attribute information of all the plots into numbering software; by numbering software to ground
Numbering the blocks; importing the plot numbers into graphic processing software;
an index selection module 204 for selecting prediction data for the parcel parameter of each parcel;
and the saturated load prediction module 205 is used for predicting the perspective saturated load of each land block according to the prediction data of the land block parameters.
According to the method and the device, on the premise of not using other plug-ins, the plot is processed by using the tool based on the graphic processing software and the numbering software, multiple sections of common plots are objectified, custom attributes are added, the plots are numbered, the graphic objects correspond to the table data one by one, then the prediction data of the plot parameters are selected, the long-range saturation load is predicted, and the prediction result can be conveniently used for other links of distribution network planning. The load prediction results are in one-to-one correspondence with the plot objects in the graphic processing software by using the numbers, the loads are stored in the plot objects as attributes and are stored together with the attributes of the plot, such as the land property, the inter-industry synchronous rate and the like, the maximum load of a certain area can be calculated by utilizing the inter-industry synchronous rate subsequently instead of simply summarizing and summing the loads as before, and on the other hand, the positioning and checking are conveniently carried out when the data processing is wrong, the prediction results are readjusted when the data processing is unreasonable, and other data management and later-stage modification maintenance are facilitated; the inspection, management and calculation of all the land object data are automatically completed by tools, the tools uniformly manage and synchronize the data, and a user only needs to do work which cannot be completed by the tools, such as selecting load prediction indexes, adjusting the load and judging whether the load prediction result is reasonable or not, so that the user can liberate people from complicated work, more concentrate on the rationality of the load prediction result and reduce the workload and the possibility of errors; the land parcel number corresponds to the land parcel information and the basic attribute information of the land parcel one to one, so that the data loss is avoided.
The tool can export the handle, the area and the layer name of the land parcel to an Excel file; numbering the land parcel data in an Excel file, wherein the rule can be DK001-DKXXX, and the numbering is not repeated by using the fast filling of Excel; and then using a tool to lead the plot number into the CAD graph as the attribute of the plot object. After the load prediction work is completed, the load of a certain area needs to be counted subsequently, only a tool needs to be used for reading load data from a land object in the area, and the inter-industry simultaneous coefficient of the land can be read simultaneously to calculate the maximum load after the load of the area is off peak. If the subsequent load prediction result needs to be adjusted and modified, only the load prediction result needs to be modified in the table, and then the prediction result is re-imported by using a tool.
Various other modifications and changes may be made by those skilled in the art based on the above-described technical solutions and concepts, and all such modifications and changes should fall within the scope of the claims of the present invention.
Claims (8)
1. A spatial saturation load prediction method is characterized by comprising the following steps:
a map acquisition step of acquiring a map;
a land parcel processing step, which is used for checking the problem land parcel in the land parcel map and correcting the problem land parcel;
a plot numbering step, namely acquiring basic attribute information of each plot, and importing the basic attribute information of all the plots into numbering software from graphic processing software; numbering the plots through numbering software; importing the plot number into graphic processing software, wherein the numbering software is EXCEL, and the graphic processing software is AutoCAD;
an index selection step of selecting prediction data for the block parameters of each block;
predicting saturated load, namely predicting the distant view saturated load of each land block by numbering software according to the prediction data of the land block parameters;
and an importing step, importing the plot information into the graphic processing software according to the plot numbers, wherein the plot information comprises the land use property code, the volume rate, the synchronous rate and the distant view saturation load of each plot.
2. The method of predicting spatial saturation load according to claim 1, further comprising:
adjusting, namely judging whether the prediction result of the distant view saturation load of each land block is reasonable; if the judgment result of the land parcel is unreasonable, the prediction data of the land parcel parameters of one or more land parcels are adjusted, and the long-term saturation load of each land parcel is predicted again according to the adjusted prediction data of the land parcel parameters.
3. The spatial saturation load prediction method according to claim 2, further comprising:
and repeating the adjusting step until the prediction result of the perspective saturation load of each land block is reasonable.
4. The spatial saturation load prediction method according to claim 1 or 2, wherein the map is composed of closed multi-segment lines;
the land parcel processing steps specifically comprise:
checking whether a non-closed land block with the area of 0 or a repeated land block exists through graphic processing software; checking whether a plurality of closed areas or plots with repeated points exist;
closing the land parcels which are not closed, finding out reasons for the land parcels with the area of 0, processing the land parcels, and deleting repeated land parcels; redundant areas where a plurality of closed areas exist are deleted, and duplicate points in a land parcel with duplicate points are deleted.
5. The method for predicting spatial saturation load according to claim 1 or 2, wherein the step of numbering the blocks includes:
acquiring basic attribute information of each land parcel, and importing the basic attribute information of all land parcels into numbering software, wherein the basic attribute information of the land parcels comprises land parcel handles; numbering the plots through numbering software, wherein the plot numbers correspond to the plot handles one by one; and importing the block number into the graphic processing software according to the block handle.
6. The method according to claim 5, wherein the basic attribute information of the land parcel further comprises a land parcel area and a layer name to which the land parcel belongs.
7. The spatial saturation load prediction method according to claim 1 or 2, wherein the parcel parameters comprise volume rate, load parameter and coincidence rate; in the saturated load prediction step, the distant view saturated load of each land block is PGroundAnd then:
when the load parameter is load density, PGround＝SLand for useX load density x coincidence;
when the load parameter is the load index, PGround＝SLand for useX volume ratio x load index x coincidence rate,
wherein S isLand for useIs the plot area of each plot.
8. A spatial saturation load prediction tool, comprising:
the map acquisition module is used for acquiring a map;
the plot processing module is used for checking the problem plots in the plot map and correcting the problem plots;
the plot numbering module is used for acquiring basic attribute information of each plot and importing the basic attribute information of all the plots into the numbering software from the graphic processing software; numbering the plots through numbering software; importing the plot number into graphic processing software, wherein the numbering software is EXCEL, and the graphic processing software is AutoCAD;
the index selection module is used for selecting prediction data for the land parcel parameters of each land parcel;
the saturated load prediction module is used for predicting the distant view saturated load of each land block through numbering software according to the prediction data of the land block parameters;
the space saturation load prediction tool also leads the plot information into the graphic processing software according to the plot serial number, wherein the plot information comprises the land use property code, the volume rate, the simultaneous rate and the long-range saturation load of each plot.
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