CN116341201A - Survey and drawing execution supervision system based on geological survey engineering - Google Patents
Survey and drawing execution supervision system based on geological survey engineering Download PDFInfo
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Abstract
The invention belongs to the field of survey and drawing progress supervision, relates to a data analysis technology, and is used for solving the problem that a construction plan generated by the existing survey and drawing execution supervision system cannot effectively restrict a construction team, in particular to a survey and drawing execution supervision system based on geological survey engineering, which comprises an execution supervision platform, wherein the execution supervision platform is in communication connection with a landform pre-detection module, a survey and drawing planning module, an execution supervision module and a storage module; the geomorphic pre-detection module is used for pre-detecting and analyzing geomorphic characteristics of geological exploration engineering: marking engineering to be subjected to geological mapping as a detection object, and randomly dividing a plurality of detection areas in the detection object; the invention can perform pre-detection analysis on the geomorphic characteristics of geological survey engineering, so as to feed back the mapping construction difficulty of a detection area according to the geomorphic coefficient, feed back the whole mapping construction body of a detection object by combining with the occupied land data, and provide data support for construction planning.
Description
Technical Field
The invention belongs to the field of survey and drawing progress supervision, relates to a data analysis technology, and in particular relates to a survey and drawing execution supervision system based on geological survey engineering.
Background
Geological exploration is understood as geological work in a broad sense, and is investigation and research work for geological conditions such as rock, stratum structure, mineral products, groundwater, landforms and the like in a certain area by applying geological exploration methods such as mapping, geophysical exploration, geochemical prospecting, drilling, pothole exploration, sampling test, geological remote sensing and the like according to requirements of economic construction, national defense construction and scientific and technical development.
The existing surveying and mapping execution supervision system based on geological survey engineering can only make a surveying and mapping construction plan through the construction body quantity of the surveying and mapping engineering, and the planning method lacks analysis on historical data and has certain deviation in practical application; and once the planned construction progress and the actual construction progress have a larger difference, the construction plan can not effectively restrict the construction team, so that the management difficulty of the construction progress of the mapping engineering is improved.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a mapping execution supervision system based on geological survey engineering, which is used for solving the problem that a construction plan generated by the existing mapping execution supervision system cannot effectively restrict a construction team;
the technical problems to be solved by the invention are as follows: how to provide a survey and drawing execution supervisory systems based on geological survey engineering, generate can effectively carry out the construction plan of restraint to the construction team, reduce the management degree of difficulty of survey and drawing engineering construction progress.
The aim of the invention can be achieved by the following technical scheme:
the surveying and mapping execution supervision system based on the geological survey engineering comprises an execution supervision platform, wherein the execution supervision platform is in communication connection with a landform pre-detection module, a surveying and mapping planning module, an execution supervision module and a storage module;
the geomorphic pre-detection module is used for pre-detecting and analyzing geomorphic characteristics of geological exploration engineering: taking the engineering mark to be subjected to geological mapping as a detection object, randomly dividing a plurality of detection areas in the detection object, obtaining gradient data PD, secret cutting data QM and deep cutting data QS in the detection areas, and performing numerical calculation to obtain a geomorphic coefficient DM of the detection areas; marking the maximum value of the landform coefficient DM in the detection area as difficulty data ND of the detection object, and marking the area value of the mapping area of the detection object as land occupation data ZD of the detection object; the difficulty data ND and the land occupation data ZD of the detection object are sent to a mapping planning module through an execution supervision platform;
the mapping planning module is used for carrying out construction planning on the mapping engineering of the detection object: performing range calculation on the difficulty data ND and the land occupation data ZD to obtain a difficulty range and a land occupation range; acquiring historical difficulty data and historical occupation data of a mapping project completed within L1 month through a storage module, marking the mapping project with the historical difficulty data within a difficulty range and the historical occupation data within a occupation range as a screening object of a detection object, acquiring construction data of the screening object, and inputting the construction data of the screening object into a construction period planning model; carrying out model analysis on the construction data through a construction period planning model to obtain standard data, sending the standard data to an execution supervision platform, and sending the standard data to the execution supervision module after the execution supervision platform receives the standard data;
the execution supervision module is used for supervising and managing the actual mapping progress of the detection object: and generating a construction period of the detection object according to the standard data, comparing the actual mapping area with the planned mapping area at a construction node of the construction period, and judging whether the mapping construction progress of the detection object at the construction node meets the requirement or not according to a comparison result.
As a preferred embodiment of the present invention, the gradient data PD is an average value of the surface gradient of the detection area; the acquisition process of the secret data QM comprises the following steps: the method comprises the steps of obtaining a valley bottom length value in a detection area, marking the valley bottom length value as a valley length value, and marking the area ratio of the valley length value to the detection area as secret cutting data QM; the tangential depth data QS is a difference in height between the highest point and the lowest point in the detection area.
As a preferred embodiment of the present invention, the process of range calculation includes: obtaining difficulty range boundary values NDmin and NDmax through formulas NDmin=m1 and NDmax=m2, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and m2 is more than or equal to 1.15; obtaining land occupation range boundary values Zdmin and ZDmax through formulas Zdmin=m3×ZD and ZDmax=m4×ZD, wherein m3 and m4 are proportionality coefficients, and m3 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and m4 is more than or equal to 1.15; the difficulty range is formed by boundary values NDmin and NDmax of the difficulty range, and the land occupation range is formed by boundary values ZDmin and ZDmax of the land occupation range.
As a preferred embodiment of the present invention, the construction data of the screening object includes plan data including a construction time length and a planned mapping area of the construction node in the construction plan, and actual data including a construction time length and an actual mapping area of the construction node.
As a preferred embodiment of the present invention, the concrete process of the construction period planning model for performing model analysis on construction data includes: establishing a rectangular coordinate system by taking the construction time length of the screening object as an X axis and the construction area as a Y axis, marking a plurality of planning points in the rectangular coordinate system by taking the construction time length of the construction node in the planning data as an abscissa and the planning mapping area as a Y coordinate, and sequentially connecting the planning points from left to right to obtain a plurality of planning line segments; marking a plurality of actual points in a rectangular coordinate system by taking the construction time length of a construction node in actual data as an abscissa and the actual mapping area as a Y coordinate, and sequentially connecting the actual points from left to right to obtain a plurality of actual line segments; the actual line segments are in one-to-one correspondence with the planned line segments, and cross data JC, coincidence data CH and completion data WC of the screening objects are obtained; obtaining a fitting coefficient TH of a screening object by carrying out numerical calculation on the crossing data JC, the superposition data CH and the finishing data WC; and marking the screening object with the smallest laminating coefficient TH value as an optimization object, and carrying out adjustment analysis on the optimization object to obtain standard data.
As a preferred embodiment of the present invention, the cross data JC of the screening object is the number of cross points of the planned line segment and the actual line segment; the acquisition process of the coincidence data CH of the screening object comprises the following steps: marking the slope values of the planned line segment and the actual line segment as a planned slope value and an actual slope value respectively, marking the absolute value of the difference value between the planned slope value of the planned line segment and the actual slope value of the corresponding actual line segment as an actual difference value of the actual line segment, and summing the actual difference values of all the actual line segments to obtain an average value to obtain coincidence data CH; the process for obtaining the data WC comprises the following steps: the method comprises the steps of obtaining the planned construction time when construction is completed in planned data, marking the planned construction time as the time when the construction is completed in actual data, obtaining the actual construction time when the construction is completed in actual data, marking the actual construction time as the time when the construction is completed, and marking the absolute value of the difference between the time when the construction is completed and the time when the construction is completed as the completion data WC.
As a preferred embodiment of the present invention, the specific process of performing adjustment analysis on the optimization object includes: marking the absolute value of the difference value between the planned mapping area and the actual mapping area of the construction node of the optimization object as a deviation value, acquiring a deviation threshold value through a storage module, and comparing the deviation value with the deviation threshold value: if the deviation value is smaller than or equal to the deviation threshold value, judging that the actual construction state of the screening object at the corresponding construction node meets the requirement; if the deviation value is greater than the deviation threshold value, determining that the actual construction state of the screening object at the corresponding construction node does not meet the requirement, obtaining a new planned mapping area JHnew of the corresponding construction node through a formula jhnew=t1×jh, replacing the original planned mapping area JH with the new planned mapping area JH, wherein t1 is a proportionality coefficient, and the value determination process of t1 comprises the following steps: comparing the actual mapped area with the planned mapped area: if the actual mapping area is smaller than the planned mapping area, t1 is more than or equal to 0.75 and less than or equal to 0.85; if the actual mapping area is larger than the planned mapping area, t1 is more than or equal to 1.15 and less than or equal to 1.25; and after updating the planned mapping areas of all the planned nodes with the actual construction states not meeting the requirements, marking the planned mapping areas of all the planned nodes as standard data and outputting the standard data.
As a preferred embodiment of the invention, the specific process for judging whether the mapping progress of the construction node meets the requirement comprises the following steps: if the actual mapping area is smaller than the planned mapping area, judging that the mapping progress of the corresponding construction node does not meet the requirement, and sending a progress abnormal signal to an execution supervision platform by an execution supervision module, wherein the execution supervision platform sends the progress abnormal signal to a mobile phone terminal of a manager after receiving the progress abnormal signal; and if the actual mapping area is larger than or equal to the planned mapping area, judging that the mapping progress of the corresponding construction node meets the requirement.
As a preferred embodiment of the present invention, the working method of the survey and drawing execution supervision system based on geological survey engineering comprises the following steps:
step one: pre-detection analysis is carried out on the geomorphic characteristics of geological exploration engineering: marking an engineering land to be subjected to geological mapping as a detection object, acquiring gradient data PD, secret cutting data QM and deep cutting data QS in a detection area, and performing numerical calculation to obtain land occupation data ZD and difficulty data ND of the detection area;
step two: carrying out construction planning on the surveying and mapping engineering of the detection object: performing range calculation on the difficulty data ND and the land occupation data ZD to obtain a difficulty range and a land occupation range, and screening the historical mapping engineering through the difficulty range and the land occupation range to obtain screening objects;
step three: carrying out model analysis on construction data of the screening object through a construction period planning model to obtain standard data, and generating a construction period of the detection object according to the standard data;
step four: and comparing the actual mapping area with the planned mapping area at the construction node of the construction period, and judging whether the mapping construction progress meets the requirement or not according to the comparison result.
The invention has the following beneficial effects:
the geomorphic characteristic of geological survey engineering can be pre-detected and analyzed through the geomorphic pre-detection module, and the geomorphic coefficients are obtained through comprehensive analysis of a plurality of geomorphic parameters of the detection area, so that the mapping construction difficulty of the detection area is fed back according to the geomorphic coefficients, the whole mapping construction volume of the detection object is fed back by combining land occupation data, and data support is provided for construction planning;
the construction planning module can carry out construction planning on the surveying and mapping project of the detection object, and the difficulty range and the occupied area are obtained by carrying out range calculation on the volume data of the historical surveying and mapping project, so that the screening object of the detection object can be screened according to the construction volume in the historical surveying and mapping project, parameters such as construction difficulty and construction area of the screening object are guaranteed to be similar to those of the detection object, and then the construction data of the screening object are analyzed to obtain standard data, so that the fitting degree of the construction plan of the detection object and the actual construction condition is improved, and a construction team can be effectively managed through the construction plan;
the construction data can be subjected to model analysis through a construction period planning model to obtain standard data, the actual construction data and the planned construction data of the screening objects are subjected to data analysis to obtain fitting coefficients, the rationality of construction plan formulation of the screening objects is fed back through the fitting coefficients, the screening objects with the highest rationality of construction plan formulation can be screened and obtained, then the optimization objects are subjected to adjustment analysis, the construction nodes in the construction plan of the optimization objects are subjected to fine adjustment, so that the standard data which is most matched with the detection objects are obtained, the construction plan is generated according to the standard data, the deviation degree of the planned construction progress and the actual construction progress can be reduced, and the loss of the construction plan formulation meaning caused by the excessively high deviation degree is avoided;
4. the monitoring and managing module can monitor and manage the actual mapping progress of the detection object, and early warning can be performed in time when progress abnormality occurs in the construction node.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Description of the embodiments
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
As shown in fig. 1, the mapping execution supervision system based on geological survey engineering comprises an execution supervision platform, wherein the execution supervision platform is in communication connection with a landform pre-inspection module, a mapping planning module, an execution supervision module and a storage module.
The geomorphic pre-detection module is used for pre-detecting and analyzing geomorphic characteristics of geological exploration engineering: the method comprises the steps of taking an engineering mark to be subjected to geological mapping as a detection object, randomly dividing a plurality of detection areas in the detection object, and obtaining gradient data PD, secret key data QM and depth data QS in the detection areas, wherein the gradient data PD is an average value of the surface gradient of the detection areas; the acquisition process of the secret data QM comprises the following steps: the method comprises the steps of obtaining a valley bottom length value in a detection area, marking the valley bottom length value as a valley length value, and marking the area ratio of the valley length value to the detection area as secret cutting data QM; the depth data QS is the difference value between the highest point and the lowest point in the detection area; obtaining a geomorphic coefficient DM of a detection area through a formula DM=α1xPD+α2xQM+α3xQS, wherein α1, α2 and α3 are proportionality coefficients, and α1 > α2 > α3 > 1; marking the maximum value of the landform coefficient DM in the detection area as difficulty data ND of the detection object, and marking the area value of the mapping area of the detection object as land occupation data ZD of the detection object; the difficulty data ND and the land occupation data ZD of the detection object are sent to a mapping planning module through an execution supervision platform; the method comprises the steps of pre-detecting and analyzing the geomorphic characteristics of geological survey engineering, comprehensively analyzing a plurality of geomorphic parameters of a detection area to obtain a geomorphic coefficient, feeding back the mapping construction difficulty of the detection area according to the geomorphic coefficient, feeding back the whole mapping construction body of a detection object by combining land occupation data, and providing data support for construction planning.
The mapping planning module is used for carrying out construction planning on the mapping engineering of the detection object: the difficulty data ND and the land occupation data ZD are subjected to range calculation to obtain a difficulty range and a land occupation range, and the range calculation process comprises the following steps: obtaining difficulty range boundary values NDmin and NDmax through formulas NDmin=m1 and NDmax=m2, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and m2 is more than or equal to 1.15; obtaining land occupation range boundary values Zdmin and ZDmax through formulas Zdmin=m3×ZD and ZDmax=m4×ZD, wherein m3 and m4 are proportionality coefficients, and m3 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and m4 is more than or equal to 1.15; the difficulty range is formed by boundary values NDmin and NDmax of the difficulty range, and the land occupation range is formed by boundary values ZDmin and ZDmax of the land occupation range; acquiring historical difficulty data and historical occupation data of a mapping project completed within L1 month through a storage module, marking the mapping project with the historical difficulty data being in a difficulty range and the historical occupation data being in a occupation range as a screening object of a detection object, acquiring construction data of the screening object, inputting the construction data of the screening object into a construction period planning model, wherein the construction data of the screening object comprises planning data and actual data, the planning data comprises construction time length and planning mapping area of construction nodes in a construction plan, and the actual data comprises construction time length and actual mapping area of the construction nodes; carrying out model analysis on the construction data through a construction period planning model to obtain standard data, sending the standard data to an execution supervision platform, and sending the standard data to the execution supervision module after the execution supervision platform receives the standard data; the construction planning is carried out on the survey and drawing engineering of the detection object, the difficulty range and the occupied area are obtained by carrying out range calculation on the volume data of the historical survey and drawing engineering, so that the screening object of the detection object can be screened according to the construction volume in the historical survey and drawing engineering, parameters such as the construction difficulty and the construction area of the screening object are guaranteed to be similar to those of the detection object, the construction data of the screening object are analyzed to obtain standard data, the fitting degree of the construction plan of the detection object and the actual construction condition is improved, and the construction team can be effectively managed through the construction plan.
The specific process of the construction period planning model for carrying out model analysis on construction data comprises the following steps: establishing a rectangular coordinate system by taking the construction time length of the screening object as an X axis and the construction area as a Y axis, marking a plurality of planning points in the rectangular coordinate system by taking the construction time length of the construction node in the planning data as an abscissa and the planning mapping area as a Y coordinate, and sequentially connecting the planning points from left to right to obtain a plurality of planning line segments; marking a plurality of actual points in a rectangular coordinate system by taking the construction time length of a construction node in actual data as an abscissa and the actual mapping area as a Y coordinate, and sequentially connecting the actual points from left to right to obtain a plurality of actual line segments; the actual line segments are in one-to-one correspondence with the planned line segments, and cross data JC, coincidence data CH and completion data WC of the screening objects are obtained; the crossing data JC of the screening object is the number of crossing points of the planning line segment and the actual line segment; the acquisition process of the coincidence data CH of the screening object comprises the following steps: marking the slope values of the planned line segment and the actual line segment as a planned slope value and an actual slope value respectively, marking the absolute value of the difference value between the planned slope value of the planned line segment and the actual slope value of the corresponding actual line segment as an actual difference value of the actual line segment, and summing the actual difference values of all the actual line segments to obtain an average value to obtain coincidence data CH; the process for obtaining the data WC comprises the following steps: acquiring the planned construction time length when the construction is completed in the planned data and marking the planned construction time length as the time length for completion, acquiring the actual construction time length when the construction is completed in the actual data and marking the actual construction time length as the time length for completion, and marking the absolute value of the difference value between the time length for completion and the time length for completion as the completion data WC; obtaining a fitting coefficient TH of a screening object through a formula TH=β1×JC+β2×CH+β3×WC, wherein β1, β2 and β3 are all proportional coefficients, and β3 > β2 > β1 > 1; marking a screening object with the smallest laminating coefficient TH value as an optimization object, and carrying out adjustment analysis on the optimization object: marking the absolute value of the difference value between the planned mapping area and the actual mapping area of the construction node of the optimization object as a deviation value, acquiring a deviation threshold value through a storage module, and comparing the deviation value with the deviation threshold value: if the deviation value is smaller than or equal to the deviation threshold value, judging that the actual construction state of the screening object at the corresponding construction node meets the requirement; if the deviation value is greater than the deviation threshold value, determining that the actual construction state of the screening object at the corresponding construction node does not meet the requirement, obtaining a new planned mapping area JHnew of the corresponding construction node through a formula jhnew=t1×jh, replacing the original planned mapping area JH with the new planned mapping area JH, wherein t1 is a proportionality coefficient, and the value determination process of t1 comprises the following steps: comparing the actual mapped area with the planned mapped area: if the actual mapping area is smaller than the planned mapping area, t1 is more than or equal to 0.75 and less than or equal to 0.85; if the actual mapping area is larger than the planned mapping area, t1 is more than or equal to 1.15 and less than or equal to 1.25; after updating the planned mapping areas of all the planned nodes with the actual construction states not meeting the requirements, marking the planned mapping areas of all the planned nodes as standard data and outputting the standard data; the construction data is subjected to model analysis to obtain standard data, the actual construction data and the planned construction data of the screening objects are subjected to data analysis to obtain fitting coefficients, the rationality of construction plan formulation of the screening objects is fed back through the fitting coefficients, the screening objects with the highest rationality of construction plan formulation can be screened and obtained, then the optimization objects are subjected to adjustment analysis, the construction nodes in the construction plan of the optimization objects are subjected to fine adjustment, so that the standard data which is most matched with the detection objects are obtained, the construction plan is generated according to the standard data, the deviation degree of the planned construction progress and the actual construction progress can be reduced, and the condition that the construction plan loses formulation meaning due to the excessively high deviation degree is avoided.
The execution supervision module is used for supervising and managing the actual mapping progress of the detection object: generating a construction period of the detection object according to the standard data, and comparing the actual mapping area with the planned mapping area at a construction node of the construction period: if the actual mapping area is smaller than the planned mapping area, judging that the mapping progress of the corresponding construction node does not meet the requirement, and sending a progress abnormal signal to an execution supervision platform by an execution supervision module, wherein the execution supervision platform sends the progress abnormal signal to a mobile phone terminal of a manager after receiving the progress abnormal signal; if the actual mapping area is larger than or equal to the planned mapping area, judging that the mapping progress of the corresponding construction node meets the requirement; and early warning is timely carried out when the progress of the construction node is abnormal.
Examples
As shown in fig. 2, a method for supervising mapping execution based on geological survey engineering comprises the following steps:
step one: pre-detection analysis is carried out on the geomorphic characteristics of geological exploration engineering: marking an engineering land to be subjected to geological mapping as a detection object, acquiring gradient data PD, secret cutting data QM and deep cutting data QS in a detection area, and performing numerical calculation to obtain land occupation data ZD and difficulty data ND of the detection area;
step two: carrying out construction planning on the surveying and mapping engineering of the detection object: performing range calculation on the difficulty data ND and the land occupation data ZD to obtain a difficulty range and a land occupation range, and screening the historical mapping engineering through the difficulty range and the land occupation range to obtain screening objects;
step three: carrying out model analysis on construction data of the screening object through a construction period planning model to obtain standard data, and generating a construction period of the detection object according to the standard data;
step four: and comparing the actual mapping area with the planned mapping area at the construction node of the construction period, and judging whether the mapping construction progress meets the requirement or not according to the comparison result.
The surveying and mapping execution supervision system based on geological survey engineering is characterized in that during operation, an engineering land to be subjected to geological survey is marked as a detection object, gradient data PD, secret cutting data QM and deep cutting data QS in a detection area are obtained, and a plurality of values are calculated to obtain land occupation data ZD and difficulty data ND of the detection area; performing range calculation on the difficulty data ND and the land occupation data ZD to obtain a difficulty range and a land occupation range, and screening the historical mapping engineering through the difficulty range and the land occupation range to obtain screening objects; carrying out model analysis on construction data of the screening object through a construction period planning model to obtain standard data, and generating a construction period of the detection object according to the standard data; and comparing the actual mapping area with the planned mapping area at the construction node of the construction period, and judging whether the mapping construction progress meets the requirement or not according to the comparison result.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula th=β1 jc+β2 ch+β3 wc; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding fitting coefficient for each group of sample data; substituting the set fitting coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of beta 1, beta 2 and beta 3 of 2.17, 2.68 and 4.65 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding fitting coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the fitting coefficient is directly proportional to the value of the completed data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (9)
1. The surveying and mapping execution supervision system based on the geological survey engineering is characterized by comprising an execution supervision platform, wherein the execution supervision platform is in communication connection with a landform pre-detection module, a surveying and mapping planning module, an execution supervision module and a storage module;
the geomorphic pre-detection module is used for pre-detecting and analyzing geomorphic characteristics of geological exploration engineering: taking the engineering mark to be subjected to geological mapping as a detection object, randomly dividing a plurality of detection areas in the detection object, obtaining gradient data PD, secret cutting data QM and deep cutting data QS in the detection areas, and performing numerical calculation to obtain a geomorphic coefficient DM of the detection areas; marking the maximum value of the landform coefficient DM in the detection area as difficulty data ND of the detection object, and marking the area value of the mapping area of the detection object as land occupation data ZD of the detection object; the difficulty data ND and the land occupation data ZD of the detection object are sent to a mapping planning module through an execution supervision platform;
the mapping planning module is used for carrying out construction planning on the mapping engineering of the detection object: performing range calculation on the difficulty data ND and the land occupation data ZD to obtain a difficulty range and a land occupation range; acquiring historical difficulty data and historical occupation data of a mapping project completed within L1 month through a storage module, marking the mapping project with the historical difficulty data within a difficulty range and the historical occupation data within a occupation range as a screening object of a detection object, acquiring construction data of the screening object, and inputting the construction data of the screening object into a construction period planning model; carrying out model analysis on the construction data through a construction period planning model to obtain standard data, sending the standard data to an execution supervision platform, and sending the standard data to the execution supervision module after the execution supervision platform receives the standard data;
the execution supervision module is used for supervising and managing the actual mapping progress of the detection object: and generating a construction period of the detection object according to the standard data, comparing the actual mapping area with the planned mapping area at a construction node of the construction period, and judging whether the mapping construction progress of the detection object at the construction node meets the requirement or not according to a comparison result.
2. The survey and survey performance monitoring system based on geological survey of claim 1, wherein the slope data PD is an average of the surface slope of the detection zone; the acquisition process of the secret data QM comprises the following steps: the method comprises the steps of obtaining a valley bottom length value in a detection area, marking the valley bottom length value as a valley length value, and marking the area ratio of the valley length value to the detection area as secret cutting data QM; the tangential depth data QS is a difference in height between the highest point and the lowest point in the detection area.
3. The survey performance monitoring system based on geological survey of claim 2, wherein the process of range calculation comprises: obtaining difficulty range boundary values NDmin and NDmax through formulas NDmin=m1 and NDmax=m2, wherein m1 and m2 are proportionality coefficients, and m1 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and m2 is more than or equal to 1.15; obtaining land occupation range boundary values Zdmin and ZDmax through formulas Zdmin=m3×ZD and ZDmax=m4×ZD, wherein m3 and m4 are proportionality coefficients, and m3 is more than or equal to 0.85 and less than or equal to 0.95,1.05 and m4 is more than or equal to 1.15; the difficulty range is formed by boundary values NDmin and NDmax of the difficulty range, and the land occupation range is formed by boundary values ZDmin and ZDmax of the land occupation range.
4. A survey and drawing execution monitoring system based on geological survey according to claim 3, wherein the construction data of the screened objects comprises planning data and actual data, the planning data comprises construction time length and planning and drawing area of construction nodes in the construction plan, and the actual data comprises construction time length and actual drawing area of the construction nodes.
5. The survey and drawing execution monitoring system based on geological survey of claim 4, wherein the concrete process of modeling construction data by the construction period planning model comprises: establishing a rectangular coordinate system by taking the construction time length of the screening object as an X axis and the construction area as a Y axis, marking a plurality of planning points in the rectangular coordinate system by taking the construction time length of the construction node in the planning data as an abscissa and the planning mapping area as a Y coordinate, and sequentially connecting the planning points from left to right to obtain a plurality of planning line segments; marking a plurality of actual points in a rectangular coordinate system by taking the construction time length of a construction node in actual data as an abscissa and the actual mapping area as a Y coordinate, and sequentially connecting the actual points from left to right to obtain a plurality of actual line segments; acquiring crossing data JC, coincidence data CH and completion data WC of a screening object; obtaining a fitting coefficient TH of a screening object by carrying out numerical calculation on the crossing data JC, the superposition data CH and the finishing data WC; and marking the screening object with the smallest laminating coefficient TH value as an optimization object, and carrying out adjustment analysis on the optimization object to obtain standard data.
6. The survey and drawing execution monitoring system based on geological survey of claim 5, wherein the crossing data JC of the screened object is the number of crossing points of the planned line segment and the actual line segment; the acquisition process of the coincidence data CH of the screening object comprises the following steps: marking the slope values of the planned line segment and the actual line segment as a planned slope value and an actual slope value respectively, marking the absolute value of the difference value between the planned slope value of the planned line segment and the actual slope value of the corresponding actual line segment as an actual difference value of the actual line segment, and summing the actual difference values of all the actual line segments to obtain an average value to obtain coincidence data CH; the process for obtaining the data WC comprises the following steps: the method comprises the steps of obtaining the planned construction time when construction is completed in planned data, marking the planned construction time as the time when the construction is completed in actual data, obtaining the actual construction time when the construction is completed in actual data, marking the actual construction time as the time when the construction is completed, and marking the absolute value of the difference between the time when the construction is completed and the time when the construction is completed as the completion data WC.
7. The survey performance monitoring system of claim 5, wherein the specific process of performing adjustment analysis on the optimization object comprises: marking the absolute value of the difference value between the planned mapping area and the actual mapping area of the construction node of the optimization object as a deviation value, acquiring a deviation threshold value through a storage module, and comparing the deviation value with the deviation threshold value: if the deviation value is smaller than or equal to the deviation threshold value, judging that the actual construction state of the screening object at the corresponding construction node meets the requirement; if the deviation value is greater than the deviation threshold value, determining that the actual construction state of the screening object at the corresponding construction node does not meet the requirement, obtaining a new planned mapping area JHnew of the corresponding construction node through a formula jhnew=t1×jh, replacing the original planned mapping area JH with the new planned mapping area JH, wherein t1 is a proportionality coefficient, and the value determination process of t1 comprises the following steps: comparing the actual mapped area with the planned mapped area: if the actual mapping area is smaller than the planned mapping area, t1 is more than or equal to 0.75 and less than or equal to 0.85; if the actual mapping area is larger than the planned mapping area, t1 is more than or equal to 1.15 and less than or equal to 1.25; and after updating the planned mapping areas of all the planned nodes with the actual construction states not meeting the requirements, marking the planned mapping areas of all the planned nodes as standard data and outputting the standard data.
8. The survey execution monitoring system based on geological survey of claim 1, wherein the specific process of determining whether the survey progress of the construction node meets the requirements comprises: if the actual mapping area is smaller than the planned mapping area, judging that the mapping progress of the corresponding construction node does not meet the requirement, and sending a progress abnormal signal to an execution supervision platform by an execution supervision module, wherein the execution supervision platform sends the progress abnormal signal to a mobile phone terminal of a manager after receiving the progress abnormal signal; and if the actual mapping area is larger than or equal to the planned mapping area, judging that the mapping progress of the corresponding construction node meets the requirement.
9. A method of operating a survey and execution supervision system based on geological survey according to claims 1-8, comprising the steps of:
step one: pre-detection analysis is carried out on the geomorphic characteristics of geological exploration engineering: marking an engineering land to be subjected to geological mapping as a detection object, acquiring gradient data PD, secret cutting data QM and deep cutting data QS in a detection area, and performing numerical calculation to obtain land occupation data ZD and difficulty data ND of the detection area;
step two: carrying out construction planning on the surveying and mapping engineering of the detection object: performing range calculation on the difficulty data ND and the land occupation data ZD to obtain a difficulty range and a land occupation range, and screening the historical mapping engineering through the difficulty range and the land occupation range to obtain screening objects;
step three: carrying out model analysis on construction data of the screening object through a construction period planning model to obtain standard data, and generating a construction period of the detection object according to the standard data;
step four: and comparing the actual mapping area with the planned mapping area at the construction node of the construction period, and judging whether the mapping construction progress meets the requirement or not according to the comparison result.
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