CN115131486B - Engineering exploration data acquisition system and method - Google Patents
Engineering exploration data acquisition system and method Download PDFInfo
- Publication number
- CN115131486B CN115131486B CN202210752610.1A CN202210752610A CN115131486B CN 115131486 B CN115131486 B CN 115131486B CN 202210752610 A CN202210752610 A CN 202210752610A CN 115131486 B CN115131486 B CN 115131486B
- Authority
- CN
- China
- Prior art keywords
- exploration
- data
- cave
- module
- processing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/005—General purpose rendering architectures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- Software Systems (AREA)
- Geology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Signal Processing (AREA)
- Computer Graphics (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses an engineering investigation and exploration data acquisition system and method, which relate to the technical field of geological information processing and comprise an on-site data acquisition module, a structure verification module, an exploration map drawing module and a data distribution module; the field data acquisition module is used for realizing the field acquisition or recording of exploration cave logging data; the structure verification module is used for reversely calculating the status element according to the structure surface dew point in the exploration cave record data and rechecking the site measurement status element; after receiving the exploration cave logging data, the server drives an exploration drawing module to automatically draw a cave logging map according to the exploration cave logging data, and visualization processing is carried out; the exploration map drawing module comprises a plurality of processing terminals, the data distribution module is used for obtaining exploration cave entry data cached in the server to carry out richness analysis, and processing terminals with corresponding number are distributed as target terminals to draw the cave entry map according to the richness value FM, so that drawing efficiency and precision are effectively improved.
Description
Technical Field
The invention relates to the technical field of geological information processing, in particular to an engineering exploration and exploration data acquisition system and method.
Background
The open hole exploration is one of the common exploration means for engineering geological exploration, in particular to the engineering geological exploration in the industries of hydropower, water conservancy, highways, railways and the like. The logging work of exploration flat holes is one of the main works of geological engineers, and after the informatization level of the work is relatively low at present, most industries still adopt the working modes and working procedures which are used for hundreds of years. The traditional operation mode of exploration cave logging work is to measure the depth of a hole at a development point of various geological phenomena by means of instruments such as tape gauges and the like, measure various geological occurrence by using a compass, record the characteristic description of the geological phenomena by using a paper medium, and record the spatial development rules of the geological phenomena such as geological structure surfaces and the like by using a paper on-site sketch mode.
The traditional working mode of exploration cave logging is relatively low in efficiency, on one hand, the field data acquisition efficiency is low, the description of geological phenomena is difficult to realize standardization, and particularly, the efficiency of describing a space development rule by adopting the metric paper is low; secondly, the informatization degree of the field collected data is low, the field collected data needs to be input into the computer again in the field work arrangement, and the secondary repeated input of the data is not beneficial to the rapid data analysis and engineering decision; based on the defects, the invention provides an engineering exploration and exploration data acquisition system and method.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an engineering exploration and exploration data acquisition system and method.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides an engineering survey exploration data acquisition system and method, including a field data acquisition module, a structure verification module, an exploration map drawing module, a terminal analysis module, and a data distribution module;
the field data acquisition module is used for realizing field acquisition or recording of exploration cave logging data, and the acquired data is standardized through a geological dictionary; the exploration cave logging data comprise engineering information, cave general profiles, stratum lithology, weathering degree, unloading degree, geological structure attributes and exposure points, fracture statistical attributes and exposure points, underground water states, rock RQD, rock fracture rate, rock structure types, initial judgment of surrounding rock types, test sampling, geophysical prospecting testing and field test data;
the structure verification module is used for calculating the status element of the exploration cavern according to the structure surface dew point in the exploration cavern record data in a reverse mode and rechecking the site measurement status element; if the rechecking is consistent, caching the collected exploration hole logging data to a server; if not, re-collecting;
after the server receives the exploration cave logging data, the server drives an exploration drawing module to automatically draw a cave logging graph according to the exploration cave logging data, and visualization processing is carried out;
the exploration map drawing module comprises a plurality of processing terminals, the data distribution module is used for obtaining exploration cave entry data cached in the server to carry out richness analysis, and processing terminals with corresponding quantity are distributed according to the richness value FM to serve as target terminals to draw corresponding cave entry maps.
Further, the specific analysis steps of the data distribution module are as follows:
marking the size of exploration cave logging data as D1, counting the number of acquisition terminals corresponding to the exploration cave logging data as M1, and marking the acquisition time corresponding to the exploration cave logging data as T1; marking the data acquisition times corresponding to the exploration cave logging data as N1;
and calculating the richness value FM of the corresponding exploration cave logging data by using a formula FM = D1 × b1+ M1 × b2+ T1 × b3+ N1 × b4, wherein b1, b2 and b3 are coefficient factors.
Further, the method for determining the target terminal comprises the following steps:
determining the number of the corresponding processing terminals as MK according to the richness value FM; a mapping relation table of the abundance value range and the terminal quantity threshold is stored in the database;
and automatically acquiring the drawing coefficient HS of each processing terminal from the cloud platform, sequencing the processing terminals according to the size of the drawing coefficient HS, and screening out the processing terminals with the number MK as target terminals to draw the adit chart according to the sequencing of the processing terminals.
Further, the visualization processing steps of the exploration map drawing module are as follows:
firstly, establishing a two-dimensional coordinate system of a plan of a adit, and flattening three-dimensional space planes of three excavation surfaces of an exploration adit in a two-dimensional space; secondly, drawing various exposure points acquired in a three-dimensional space in a two-dimensional coordinate system; finally, connecting the same two-dimensional points into a two-dimensional line, and marking corresponding geological attributes;
the exploration map drawing module is used for fusing drawing time and administrator scores to obtain drawing record information, and stamping a time stamp on the drawing record information and storing the drawing record information to the cloud platform.
Further, the terminal analysis module is used for analyzing the drawing coefficient of the processing terminal according to the drawing record information with the timestamp stored in the cloud platform, and the specific analysis steps are as follows:
acquiring all drawing record information of a processing terminal in a preset time period; counting the drawing times of the corresponding processing terminal as C1; marking the drawing time length in each drawing record information as HTi, and marking the administrator score as PFi; using formulas
Calculating to obtain a drawing value HZi, wherein a1 and a2 are coefficient factors; when the drawing threshold value is HZi or more, a drawing optimal signal is fed back to the terminal analysis module;
evaluating the plotting quality deviation value HY according to the occurrence condition of the plotting quality signals; calculating a drawing coefficient HS of the processing terminal by using a formula HS = C1 × g1+ HY × g2, wherein g1 and g2 are coefficient factors; and the terminal analysis module is used for storing the drawing coefficient HS of the processing terminal to the cloud platform.
Further, the specific evaluation process of the optimal bias value HY is as follows:
counting the occurrence frequency of the optimal signal as C2, and intercepting a time period between adjacent optimal signals as an optimal buffering time period; counting the drawing times of the corresponding processing terminal in each drawing buffering time period as a drawing buffering frequency P1; comparing the optimal buffering frequency P1 with a buffering threshold value;
counting the number of times that P1 is smaller than a buffer threshold value to be L1; when P1 is smaller than the buffer threshold, obtaining the difference between P1 and the buffer threshold and summing to obtain a total difference CH, and calculating by using a formula CX = L1 × a3+ CH × a4 to obtain a difference coefficient CX, wherein a3 and a4 are coefficient factors; the optimal bias value HY is calculated by the formula HY = C2 × a5+ CX × a6, where a5 and a6 are coefficient factors.
Further, the specific verification process of constructing the verification module is as follows:
firstly, sequencing each exposed point of a structural surface according to the sequence of a left wall, a top arch and a right wall;
then, calculating geodetic coordinates of each exposed point on the structural surface according to the spatial distribution characteristics of each hole section of the exploration adit; finally, grouping geodetic coordinates of each exposed point of the structural surface, constructing a fitting plane of each exposed point group, calculating a plane equation of the fitting plane, and calculating a structural surface attitude element according to the plane equation;
and rechecking the structural surface occurrence factor obtained by calculation and the current measurement occurrence factor.
Further, the engineering exploration and exploration data acquisition method comprises the following steps:
the method comprises the following steps: collecting exploration flat hole logging data through each mobile terminal, and standardizing the collected data through a geological dictionary; each mobile terminal has a unique number;
step two: inversely calculating the attitude elements according to the structural surface exposed points in the exploration cave record data, and rechecking the on-site measurement attitude elements; if the rechecking is consistent, caching the collected exploration flat hole record data to a server; if not, re-collecting;
step three: carrying out richness analysis on the exploration cave directory data cached in the server, and distributing a corresponding number of processing terminals as target terminals according to the richness value FM; the method specifically comprises the following steps:
determining the corresponding processing terminal number as MK according to the richness value FM, wherein a mapping relation table of the richness value range and the terminal number threshold is stored in the database;
automatically acquiring the drawing coefficients HS of all processing terminals from the cloud platform, and screening out the processing terminals MK before the drawing coefficients HS are sequenced as target terminals;
step four: the target terminal is used for automatically drawing a adit record chart according to the exploration adit record data and carrying out visualization processing; fusing the drawing time and the administrator score to obtain drawing record information;
step five: and analyzing the drawing coefficient of the processing terminal according to the drawing record information, and storing the drawing coefficient HS of the processing terminal to the cloud platform.
Compared with the prior art, the invention has the beneficial effects that:
1. the field data acquisition module is used for realizing the field acquisition or recording of exploration cave logging data, and the acquired data is standardized through a geological dictionary, so that the working efficiency and the accuracy of the subsequent data statistical analysis are greatly improved; the structure verification module is used for reversely calculating the status element according to the structure surface exposed point in the exploration cave record data and rechecking the site measurement status element; if the rechecking is consistent, caching the collected exploration hole logging data to a server; if not, re-collecting; the accuracy of the field data is greatly improved;
2. after the server receives the exploration cave logging data, the server drives the exploration map drawing module to automatically draw the cave logging map according to the exploration cave logging data, and visualization processing is carried out, so that a user can conveniently check and understand the cave logging map; the exploration map drawing module comprises a plurality of processing terminals, the data distribution module is used for obtaining exploration cave entry data cached in the server to carry out richness analysis, and distributing a corresponding number of processing terminals to serve as target terminals to draw corresponding cave entry maps according to the richness value FM, so that drawing efficiency and precision are effectively improved.
3. The terminal analysis module is used for analyzing the drawing coefficient of the processing terminals according to the drawing record information with the timestamp stored in the cloud platform, the data distribution module is used for automatically acquiring the drawing coefficient HS of each processing terminal from the cloud platform, sorting the processing terminals according to the size of the drawing coefficient HS, screening out the corresponding number of processing terminals according to the sorting of the processing terminals to serve as target terminals to draw the cave entry map, and the drawing efficiency and precision are further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a system diagram of an engineering survey data acquisition system of the present invention.
FIG. 2 is a flow chart of a method for collecting exploration data for engineering exploration according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 2, an engineering survey and exploration data acquisition system includes an on-site data acquisition module, a structure verification module, a server, a database, an exploration map drawing module, a cloud platform, a terminal analysis module, and a data distribution module;
the field data acquisition module is used for realizing field acquisition or recording of exploration open hole record data, wherein the content of data acquisition comprises engineering information, open hole general profiles, stratum lithology, weathering degree, unloading degree, geological structure attribute and exposure point, fracture statistical attribute and exposure point, underground water state, rock mass RQD, rock mass fracture rate, rock mass structure type, surrounding rock type initial judgment, test sampling, geophysical prospecting test, field test and the like; the collected data are standardized through a geological dictionary, the data input is mainly digital input and options, the working efficiency of field data collection is greatly improved, and meanwhile, the working efficiency and the accuracy of statistical analysis of subsequent data are greatly improved through the standardization of the data; the collected data is stored in a sub-database of the mobile terminal;
the method can realize the collaborative data acquisition of exploration cave logging, automatically identify the acquired data of different mobile terminals in the data synchronization process of the mobile terminal database and the server-side database through the association of the acquired recorded data and the serial number (equipment ID) of the mobile terminal equipment, comprehensively summarize the acquired data and synchronize the data to the server-side database;
the structure verification module is used for reversely calculating the status element according to the structure surface dew point in the exploration cave record data and rechecking the site measurement status element; the specific process steps are as follows:
firstly, sequencing each exposed point of a structural surface according to the sequence of a left wall, a top arch and a right wall, and taking the measured occurrence factor of the geological structural surface, the exposed point hole depth, the hole height and other factors into consideration in sequencing;
then, calculating the geodetic coordinates of each exposed point of the structural surface according to the spatial distribution characteristics of each hole section of the exploration cave; finally, grouping geodetic coordinates of each exposed point of the structural surface, constructing a fitting plane of each exposed point group, calculating a plane equation of the fitting plane, and calculating a structural surface attitude element according to the plane equation;
rechecking the structural surface attitude elements obtained by calculation and the field measurement attitude elements; if the rechecking is consistent, caching the collected exploration hole logging data to a server; if the data acquisition times are inconsistent, sending a re-acquisition instruction to the field data acquisition module, and increasing one data acquisition time;
after receiving the exploration cave logging data, the server drives an exploration drawing module to automatically draw a cave logging map according to the exploration cave logging data, and visualization processing is carried out; the method comprises the following specific steps:
firstly, establishing a two-dimensional coordinate system of a plan of a adit, and flattening three-dimensional space planes of three excavation surfaces of an exploration adit in a two-dimensional space; secondly, drawing various exposure points acquired in a three-dimensional space in a two-dimensional coordinate system; finally, connecting the same two-dimensional points into a two-dimensional line, and marking corresponding geological attributes;
calculating the time difference between the drawing starting time and the drawing ending time to obtain drawing duration HT; setting the administrator score as PF, wherein the score is expressed as the score of the administrator on the cave entry map, and the specific scoring rule is as follows: the full rate is 10 minutes;
the exploration map drawing module is used for fusing drawing duration HT and administrator score PF to obtain drawing record information, stamping a time stamp on the drawing record information and storing the drawing record information to the cloud platform;
the exploration map drawing module comprises a plurality of processing terminals, the terminal analysis module is used for drawing coefficient analysis on the processing terminals according to drawing record information with timestamps stored by the cloud platform, and the specific analysis steps are as follows:
acquiring all drawing record information of the processing terminal within a preset time period according to the time stamp; counting the drawing times of the corresponding processing terminal as C1;
marking the drawing time length in each drawing record information as HTi, and marking the administrator score as PFi; using a formula
Calculating to obtain a drawing value HZi, wherein a1 and a2 are coefficient factors; when the drawing threshold value is HZi or more, a drawing optimal signal is fed back to the terminal analysis module;
counting the occurrence frequency of the optimal signal as C2, and intercepting a time period between adjacent optimal signals as an optimal buffering time period; counting the drawing times of the corresponding processing terminal in each drawing buffer time period as a drawing buffer frequency P1; comparing the optimal buffering frequency P1 with a buffering threshold value;
counting the number of times that P1 is smaller than a buffer threshold value to be L1; when P1 is smaller than the buffering threshold, obtaining the difference value between P1 and the buffering threshold and summing to obtain a total difference and buffering value CH, and calculating by using a formula CX = L1 × a3+ CH × a4 to obtain a difference and buffering coefficient CX, wherein a3 and a4 are coefficient factors; calculating by using a formula HY = C2 × a5+ CX × a6 to obtain a prime mover HY, wherein a5 and a6 are coefficient factors;
calculating a drawing coefficient HS of the processing terminal by using a formula HS = C1 × g1+ HY × g2, wherein g1 and g2 are coefficient factors; the terminal analysis module is used for storing the drawing coefficient HS of the processing terminal to the cloud platform;
the data distribution module is used for acquiring exploration hole logging data cached in the server to perform richness analysis, and distributing a corresponding number of processing terminals to draw a corresponding hole logging graph according to the richness value FM; the specific distribution steps are as follows:
marking the size of exploration cave logging data as D1, counting the number of acquisition terminals corresponding to the exploration cave logging data as M1, and marking the acquisition time corresponding to the exploration cave logging data as T1; marking the data acquisition times corresponding to the exploration hole logging data as N1;
calculating a corresponding richness value FM of the exploration cave logging data by using a formula FM = D1 × b1+ M1 × b2+ T1 × b3+ N1 × b4, wherein b1, b2 and b3 are coefficient factors;
determining the number of the corresponding processing terminals as MK according to the richness value FM, specifically:
a mapping relation table of the abundance value range and the terminal quantity threshold is stored in the database;
determining a corresponding richness value range according to the richness value FM, and determining a corresponding terminal quantity threshold value as MK according to the richness value range, namely determining the corresponding processing terminal quantity as MK;
automatically acquiring a drawing coefficient HS of each processing terminal from the cloud platform, sequencing the processing terminals according to the size of the drawing coefficient HS, and screening out the processing terminals with the number MK as target terminals to draw the adit chart according to the sequencing of the processing terminals;
an engineering exploration and exploration data acquisition method is applied to the engineering exploration and exploration data acquisition system, and comprises the following steps:
the method comprises the following steps: collecting exploration cave inventory data through each mobile terminal, and standardizing the collected data through a geological dictionary; each mobile terminal has a unique number; the data collected by each mobile terminal is stored in a corresponding mobile terminal sub-database;
step two: inversely calculating the attitude elements according to the structural surface exposed points in the exploration cave record data, and rechecking the on-site measurement attitude elements; if the rechecking is consistent, caching the collected exploration hole logging data to a server; if not, re-collecting;
step three: carrying out richness analysis on the exploration cave directory data cached in the server, and distributing a corresponding number of processing terminals as target terminals according to the richness value FM; the method specifically comprises the following steps:
determining the corresponding processing terminal number as MK according to the richness value FM, and storing a mapping relation table of the richness value range and the terminal number threshold in a database;
automatically acquiring a drawing coefficient HS of each processing terminal from the cloud platform, sequencing the processing terminals according to the size of the drawing coefficient HS, and screening out the processing terminals with MK number as target terminals according to the sequencing of the processing terminals;
step four: the target terminal is used for automatically drawing a adit record chart according to the exploration adit record data and carrying out visualization processing; fusing the drawing time and the administrator score to obtain drawing record information;
step five: and analyzing the drawing coefficient of the processing terminal according to the drawing record information, and storing the drawing coefficient HS of the processing terminal to the cloud platform.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
when the engineering exploration and exploration data acquisition system and the engineering exploration and exploration data acquisition method work, an on-site data acquisition module is used for realizing on-site acquisition or recording of exploration cave inventory data, and the acquired data are standardized through a geological dictionary; the structure verification module is used for calculating the status element of the exploration cavern according to the structure surface dew point in the exploration cavern record data in a reverse mode and rechecking the site measurement status element; if the rechecking is consistent, caching the collected exploration flat hole record data to a server; if not, re-collecting; the accuracy and the acquisition efficiency of the field data are greatly improved;
after the server receives the exploration cave logging data, the exploration drawing module is driven to automatically draw a cave logging graph according to the exploration cave logging data, and visualization processing is carried out, so that a user can conveniently check and understand the cave logging graph; the exploration map drawing module comprises a plurality of processing terminals, the data distribution module is used for acquiring exploration cave entry data cached in the server to perform richness analysis, and drawing corresponding cave entry maps by distributing a corresponding number of processing terminals according to the richness value FM, so that drawing efficiency and precision are improved;
the exploration map drawing module is used for fusing drawing time and administrator scores to obtain drawing record information, stamping a timestamp and storing the drawing record information to the cloud platform; the terminal analysis module is used for analyzing the drawing coefficient of the processing terminal according to the drawing record information with the timestamp stored in the cloud platform; the data distribution module is used for sorting the processing terminals according to the size of the drawing coefficient HS, screening out a corresponding number of processing terminals according to the sorting of the processing terminals and using the processing terminals as target terminals to draw the adit chart, and further improving the drawing efficiency and precision.
In the description herein, references to the description of "one embodiment," "an example," "a specific example," etc., 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. An engineering investigation and exploration data acquisition system is characterized by comprising an on-site data acquisition module, a structure verification module, an exploration map drawing module, a terminal analysis module and a data distribution module;
the field data acquisition module is used for realizing field acquisition or recording of exploration cave logging data, and the acquired data is standardized through a geological dictionary; the exploration cave logging data comprise engineering information, cave general profiles, stratum lithology, weathering degree, unloading degree, geological structure attributes and exposure points, fracture statistical attributes and exposure points, underground water states, rock RQD, rock fracture rate, rock structure types, initial judgment of surrounding rock types, test sampling, geophysical prospecting testing and field test data;
the structure verification module is used for reversely calculating the status element according to the structure surface exposed point in the exploration cave record data and rechecking the site measurement status element; if the rechecking is consistent, caching the collected exploration hole logging data to a server; if not, re-collecting;
after the server receives the exploration cave logging data, the server drives an exploration drawing module to automatically draw a cave logging graph according to the exploration cave logging data, and visualization processing is carried out;
the exploration map drawing module comprises a plurality of processing terminals, the data distribution module is used for acquiring exploration cave entry data cached in the server to analyze the abundance value, and distributing a corresponding number of processing terminals as target terminals to draw corresponding cave entry maps according to the abundance value FM;
the specific analysis steps of the data distribution module are as follows:
marking the size of exploration cave logging data as D1, counting the number of acquisition terminals corresponding to the exploration cave logging data as M1, and marking the acquisition time corresponding to the exploration cave logging data as T1; marking the data acquisition times corresponding to the exploration cave logging data as N1;
calculating a corresponding richness value FM of the exploration cave logging data by using a formula FM = D1 × b1+ M1 × b2+ T1 × b3+ N1 × b4, wherein b1, b2 and b3 are coefficient factors;
determining the number of the corresponding processing terminals as MK according to the richness value FM; a mapping relation table of the abundance value range and the terminal quantity threshold is stored in the database;
and automatically acquiring the drawing coefficient HS of each processing terminal from the cloud platform, sequencing the processing terminals according to the size of the drawing coefficient HS, and screening out the processing terminals with the number MK as target terminals to draw the adit chart according to the sequencing of the processing terminals.
2. The system of claim 1, wherein the exploration data acquisition module performs visualization processing by:
firstly, establishing a two-dimensional coordinate system of a plan of a adit, and flattening three-dimensional space planes of three excavation surfaces of an exploration adit in a two-dimensional space; secondly, drawing various exposure points acquired in a three-dimensional space in a two-dimensional coordinate system; finally, connecting the same two-dimensional points into a two-dimensional line, and marking corresponding geological attributes;
the exploration map drawing module is used for fusing drawing time and administrator scores to obtain drawing record information, and stamping a time stamp on the drawing record information and storing the drawing record information to the cloud platform.
3. The system of claim 2, wherein the terminal analysis module is configured to perform rendering coefficient analysis on the processing terminal according to the timestamped rendering record information stored in the cloud platform, and the specific analysis steps include:
acquiring all drawing record information of a processing terminal in a preset time period; counting the drawing times of the corresponding processing terminal as C1; marking the drawing time length in each drawing record information as HTi, and marking the administrator score as PFi; using formulas
Calculating to obtain a drawing value HZi, wherein a1 and a2 are coefficient factors; when the drawing threshold value is HZi or more, feeding back a drawing optimization signal to the terminal analysis module;
evaluating the optimal plotting bias value HY according to the occurrence condition of the optimal plotting signal; calculating a drawing coefficient HS of the processing terminal by using a formula HS = C1 × g1+ HY × g2, wherein g1 and g2 are coefficient factors; and the terminal analysis module is used for storing the drawing coefficient HS of the processing terminal to the cloud platform.
4. The system of claim 3, wherein the specific evaluation process for mapping the optimum HY is as follows:
counting the occurrence frequency of the optimal signal as C2, and intercepting a time period between adjacent optimal signals as an optimal buffering time period; counting the drawing times of the corresponding processing terminal in each drawing buffering time period as a drawing buffering frequency P1; comparing the optimal buffering frequency P1 with a buffering threshold value;
counting the number of times that P1 is smaller than a buffer threshold value to be L1; when P1 is smaller than the buffering threshold, obtaining the difference value between P1 and the buffering threshold and summing to obtain a total difference and buffering value CH, and calculating by using a formula CX = L1 × a3+ CH × a4 to obtain a difference and buffering coefficient CX, wherein a3 and a4 are coefficient factors; the optimal bias value HY is calculated by the formula HY = C2 × a5+ CX × a6, where a5 and a6 are coefficient factors.
5. The system for collecting engineering survey and exploration data as claimed in claim 1, wherein said construction verification module performs the following verification processes:
firstly, sequencing each exposed point of a structural surface according to the sequence of a left wall, a top arch and a right wall;
then, calculating the geodetic coordinates of each exposed point of the structural surface according to the spatial distribution characteristics of each hole section of the exploration cave; finally, grouping geodetic coordinates of each exposed point of the structural surface, constructing a fitting plane of each exposed point group, calculating a plane equation of the fitting plane, and calculating a structural surface attitude element according to the plane equation;
and rechecking the structural surface attitude elements obtained by calculation and the field measurement attitude elements.
6. An engineering survey and exploration data acquisition method applied to an engineering survey and exploration data acquisition system as claimed in any one of claims 1 to 5, comprising the steps of:
the method comprises the following steps: collecting exploration cave inventory data through each mobile terminal, and standardizing the collected data through a geological dictionary; each mobile terminal has a unique number;
step two: inversely calculating the attitude elements according to the structural surface exposed points in the exploration cave record data, and rechecking the on-site measurement attitude elements; if the rechecking is consistent, caching the collected exploration flat hole record data to a server; if not, re-collecting;
step three: carrying out richness value analysis on the exploration cave directory data cached in the server, and distributing a corresponding number of processing terminals as target terminals according to the richness value FM; the method specifically comprises the following steps:
determining the corresponding processing terminal quantity as MK according to the richness value FM, and storing a mapping relation table of the richness value range and the terminal quantity threshold in a database;
automatically acquiring the drawing coefficients HS of all processing terminals from the cloud platform, and screening out the processing terminals MK of the drawing coefficients HS before sequencing as target terminals;
step four: the target terminal is used for automatically drawing a adit record chart according to the exploration adit record data and carrying out visualization processing; fusing the drawing time and the administrator score to obtain drawing record information;
step five: and analyzing the drawing coefficient of the processing terminal according to the drawing record information, and storing the drawing coefficient HS of the processing terminal to the cloud platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210752610.1A CN115131486B (en) | 2022-06-28 | 2022-06-28 | Engineering exploration data acquisition system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210752610.1A CN115131486B (en) | 2022-06-28 | 2022-06-28 | Engineering exploration data acquisition system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115131486A CN115131486A (en) | 2022-09-30 |
| CN115131486B true CN115131486B (en) | 2023-03-10 |
Family
ID=83380274
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210752610.1A Active CN115131486B (en) | 2022-06-28 | 2022-06-28 | Engineering exploration data acquisition system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115131486B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115795828B (en) * | 2022-11-16 | 2024-03-19 | 武汉大学 | Fracture rock deformation calculation method and device based on data driving |
| CN117472184A (en) * | 2023-11-02 | 2024-01-30 | 广州保呗科技有限公司 | Data acquisition device and method for virtual field |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069162A (en) * | 2015-08-26 | 2015-11-18 | 中国电建集团北京勘测设计研究院有限公司 | Informatized exploratory adit catalog data acquisition system and method |
| CN106772665A (en) * | 2016-07-08 | 2017-05-31 | 依泰斯卡（武汉）咨询有限公司 | The electronic acquisition method and system of a kind of geological mapping adit joint data |
| CN109614238A (en) * | 2018-12-11 | 2019-04-12 | 深圳市网心科技有限公司 | A kind of recongnition of objects method, apparatus, system and readable storage medium storing program for executing |
| CN111143452A (en) * | 2019-12-16 | 2020-05-12 | 广州地铁设计研究院股份有限公司 | Intelligent conversion system for engineering survey data |
| CN113202455A (en) * | 2021-06-02 | 2021-08-03 | 中国石油天然气股份有限公司西南油气田分公司川中油气矿 | Oil exploration method and system based on Internet of things |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101051394A (en) * | 2007-04-11 | 2007-10-10 | 中国科学院地质与地球物理研究所 | Three dimension visual system based on geological body of geophysical field data |
| WO2021221682A1 (en) * | 2020-05-01 | 2021-11-04 | Landmark Graphics Corporation | Facilitating hydrocarbon exploration by applying a machine-learning model to basin data |
-
2022
- 2022-06-28 CN CN202210752610.1A patent/CN115131486B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069162A (en) * | 2015-08-26 | 2015-11-18 | 中国电建集团北京勘测设计研究院有限公司 | Informatized exploratory adit catalog data acquisition system and method |
| CN106772665A (en) * | 2016-07-08 | 2017-05-31 | 依泰斯卡（武汉）咨询有限公司 | The electronic acquisition method and system of a kind of geological mapping adit joint data |
| CN109614238A (en) * | 2018-12-11 | 2019-04-12 | 深圳市网心科技有限公司 | A kind of recongnition of objects method, apparatus, system and readable storage medium storing program for executing |
| CN111143452A (en) * | 2019-12-16 | 2020-05-12 | 广州地铁设计研究院股份有限公司 | Intelligent conversion system for engineering survey data |
| CN113202455A (en) * | 2021-06-02 | 2021-08-03 | 中国石油天然气股份有限公司西南油气田分公司川中油气矿 | Oil exploration method and system based on Internet of things |
Non-Patent Citations (2)
| Title |
|---|
| 矿山地质勘查中无人机与数码摄录相结合技术应用研究;唐磊等;《世界有色金属》;20170930(第18期);全文 * |
| 轨道交通岩土工程勘察数据采集服务系统设计与实现;唐超 等;《都市快轨交通》;20210630;第34卷(第3期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115131486A (en) | 2022-09-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115131486B (en) | Engineering exploration data acquisition system and method | |
| CN107402176B (en) | method and device for determining porosity of crack | |
| CN111339691A (en) | Intelligent geotechnical engineering parameter three-dimensional analysis and evaluation system and method based on voxler software | |
| CN113553763A (en) | Tunnel surrounding rock rapid grading method and system | |
| CN111784761B (en) | Mineral resource aggregate volume estimation method | |
| CN113360587B (en) | Land surveying and mapping equipment and method based on GIS technology | |
| CN111175820B (en) | Analysis method for depth relation during synthetic seismic record clear breakpoint calibration determination | |
| CN105069162A (en) | Informatized exploratory adit catalog data acquisition system and method | |
| CN110675498A (en) | Long and large strip-shaped three-dimensional geological environment modeling method and device and terminal equipment | |
| CN108763804A (en) | A kind of reject measures the rock mass broad sense RQD acquisition methods that null field influences | |
| CN112464513A (en) | RQD based on photogrammetry and RQD inversiontOptimal threshold t solving method | |
| CN112200417A (en) | Based on photogrammetry, BQ,RQDtImproved Mathews stability chart evaluation method for ground stress | |
| CN114491774B (en) | Deep anticline structure and stratum structure three-dimensional numerical model construction method | |
| EP3452698B1 (en) | Two dimensional reservoir pressure estimation with integrated static bottom hole pressure survey data and simulation modeling | |
| CN110826215B (en) | Minimum included angle and minimum sample capacity algorithm for realizing high-precision occurrence distribution estimation | |
| CN115330975A (en) | Novel three-dimensional random rough structural surface network model and construction method and device | |
| CN110440754B (en) | Actual measurement geological profile method based on space coordinates | |
| CN111222094B (en) | Evaluation method of residual error after application of Fouche fracture occurrence probability distribution calculation method | |
| CN110824559B (en) | Method and device for generating co-coordinate point gather and computer-readable storage medium | |
| US10571604B2 (en) | Two dimensional reservoir pressure estimation with integrated static bottom-hole pressure survey data and simulation modeling | |
| Kluckner et al. | Estimation of the in situ block size in jointed rock masses using three-dimensional block simulations and discontinuity measurements | |
| CN118469740B (en) | Ore body data three-dimensional ore formation prediction method and system based on GOCAD software | |
| US20230376658A1 (en) | Systems and methods for performing drilling rig operations | |
| Krupa et al. | Comprehensive earth scientific documentation and data processing applying GIS technologies | |
| CN118094683A (en) | Outcrop crack modeling method and device based on three-dimensional laser point cloud data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |