CN110044746A - A kind of geotechnical engineering investigation measurement device and measuring method - Google Patents
A kind of geotechnical engineering investigation measurement device and measuring method Download PDFInfo
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Abstract
The invention belongs to technical field of geotechnical investigation, a kind of geotechnical engineering investigation measurement device and measuring method are disclosed, ground detection device is utilized to detect ground hardness data;Ground seepage coefficient data are detected using ground detection device;Ground field image data is acquired using based on the corrected image pick-up device of independent parameter;The test that rock and soil properties are carried out under ground home state and stress condition using test equipment;Geotechnical investigation description report is automatically generated using automatically generating program;Ground hardness, seepage coefficient, field image data and the test result of memory storage detection, prospecting description report.The present invention can effectively determine the rock-soil material seepage coefficient correlation degree of bias, and entire step is clear, and explicit physical meaning is easy to operate, practical;Meanwhile rock-soil layer description can be reported by programming automatic generation geological mapping by exploration report generation module, reduce human error and the low problem of man efficiency.
Description
Technical field
The invention belongs to technical field of geotechnical investigation more particularly to a kind of geotechnical engineering investigation measurement device and measurement sides
Method.
Background technique
Geotechnical engineering investigation (Geotechnical Investigation) refers to the requirement according to construction project, find out,
Geology, environmental characteristic and the geotechnical engineering condition in place, the activity of establishment prospecting file are built in analysis, evaluation.If survey
Not in place, harmful engineering ground problem, which will be exposed, to be come, and can be met with unavoidably the design of superstructure, construction have reached high-quality
It is damaged.The purpose of geotechnical engineering investigation mainly finds out engineering geological condition, analyzes existing geological problem, to building area
Make Engineering Geology Evaluation.The task of geotechnical engineering investigation is the correct work for reflecting place according to the requirement of different phase of exploration
The influence of journey geological conditions and Rock And Soil condition, and the engineerings such as incorporation engineering design, execution conditions and basement process is specific
It is required that technological demonstration and evaluation are carried out, the policy-making concrete proposals submitting processing geotechnical engineering problems and solving the problems, such as, and propose
The design criteria of the engineerings such as basis, side slope and the guiding opinion of geotechnical engineering construction, provide foundation to design, constructing, service
In the overall process of engineering construction.However, existing geotechnical investigation process, the ground seepage data inaccuracy of acquisition;Meanwhile reconnoitring report
It accuses and report is write on one side against mathematical statistics table by writer on one side, this results in not only causing because data are mixed and disorderly
Typing reports the occurrence of mistake, and can reduce the efficiency for writing report.
In conclusion problem of the existing technology is:
Existing geotechnical investigation process, the ground seepage data inaccuracy of acquisition;Meanwhile exploration report passes through writer,
On one side against mathematical statistics table, report is write on one side, this results in not only typing being caused to report the occurrence of mistake because data are mixed and disorderly
Accidentally, and the efficiency for writing report can be reduced.
The data storage algorithm of the memory of existing rock prospecting storage causes certain nodes to be deposited because event distribution is uneven
, there is hot spot phenomenon in the overabundance of data of storage.The image pick-up device distortion phenomenon of existing prospecting rock is serious.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of geotechnical engineering investigation measurement device and measurement sides
Method.
The invention is realized in this way a kind of geotechnical engineering investigation measuring method, the geotechnical engineering investigation measurement
Method includes:
Ground hardness data is detected using ground detection device;Ground seepage coefficient number is detected using ground detection device
According to;Ground field image data is acquired using based on the corrected image pick-up device of independent parameter;
The test that rock and soil properties are carried out under ground home state and stress condition using test equipment;Utilize automatic life
It describes to report at programming automatic generation geotechnical investigation;
Ground hardness, seepage coefficient, field image data and the test result of memory storage detection, prospecting description report
It accuses;In memory stores data, according to area size and event type, using Sink as reference origin, 90 °/n is angle, is drawn
Subnetting lattice;An actual coordinate L is distributed respectively for each nodeRWith virtual coordinates LV, enable initial value LV=LR;
Calculate node number in each grid and each node to grid element center point distance, by distance from it is small to
Greatly node serial number distributes time slot of listening to or sleep as the following formula for each node, forms the node working timing figure of matrix T;
0 since the 1st row the 1st column, from left to right, distribute time slot from top to bottom, chance matrix boundaries are then vertically changed to next
Row, and continue to distribute time slot in a reverse direction;
The residual memory space for inquiring each memory node in grid, the node virtual coordinate modification for reaching storage threshold value are
(∞, ∞), according to process selecting memory node;
The node for not reaching storage threshold value, at work in sequence matrix T, the 1st row the 1st of Cong Xincong column start, from left-hand
Time slot is distributed on the right side from top to bottom, meets matrix boundaries and then vertically changes to next line, and continues to distribute time slot in a reverse direction;Work
Carry out data transmission as node;After one wheel data are transmitted, a new wheel is carried out, until data all store;
Utilize ground hardness, seepage coefficient, field image data and the test result of display display detection, prospecting description
Report.
Further, the ground seepage flow detection module detection method includes:
1) rock-soil layer undisturbed soil field sampling carries out spacing distance Δ r using boring method within the scope of rock-soil layer vertical depth
Multiple original state ground field samplings;
2) different layers position rock-soil material seepage coefficient is obtained to become the multiple groups original state ground that different layers position obtains respectively
Head permeability test determines the seepage coefficient of test original state ground according to formula (1):
In formula: a is glass tube basal area, and l is specimen length, and A is sample section product, Δ h1To originate head difference, Δ h2For
End of a period head difference, t are time of penetration;
3) statistical test seepage coefficient numerical characteristic
According to mathematical statistics method, sample point statistical analysis is carried out to the seepage coefficient test value that test obtains, obtains point
Mean μ and point variances sigma2;
4) analysis local average seepage coefficient numerical characteristic selectes multiple value spacing L along depth selection, every
Sample point test value mean value constitutes one group of data in a spacing L, according to mathematical statistics method, finds out the local average of this group of data
Mean μ (L) and local average variance D2(L);
5) the variance function Г under the conditions of local average is calculated2(L)
Seepage coefficient variance function Г corresponding from different value spacing L is determined according to formula (2)2(L);
In formula: L is local average range, D2It (L) is local average variance, σ2For test value point variance;
6) (1+L is drawn2)/Г2(L)-L3Graph of relation is with (1+L2)/Г2It (L) is abscissa, L3For ordinate, will seep
Coefficient discrete point is flowed to draw in the coordinate system;
7) the rock-soil material seepage coefficient correlation degree of bias is determined:
(1+L is fitted with straight line2)/Г2(L)-L3The slope of discrete point in coordinate system, straight line is perpendicular for place ground
Histogram is to the seepage coefficient correlation degree of bias.
Further, the exploration report generation module generation method includes:
(1) customized primary template geotechnical investigation description and rock-soil layer mechanics index of physics mathematical statistics table, by rock-soil layer
The data to be replaced in each column and template in mechanics index of physics mathematical statistics table correspond;
(2) rock-soil layer mechanics index of physics mathematical statistics table is opened, rock-soil layer mechanics index of physics mathematical statistics table is read
The line number of last line, and count and obtain N layers of ground soil layer sum;
(3) primary template " geotechnical investigation description " is opened, content is selected entirely, by Do statement reproducting content, and is established
By the new template of primary template content duplication and ground N layers of equal times of soil layer sum in step (2);
(4) integer variable i and j are defined:
Go to search the every of each rock-soil layer in " rock-soil layer mechanics index of physics mathematical statistics table " one by one by cyclic variable i
The data of column;The data to be replaced for searching " geotechnical investigation describes .doc " one by one are gone by cyclic variable j;
(5) the current data to be replaced for finding the current column data replacement cyclic variable j that cyclic variable i is found,
Current column data is corresponding with current data to be replaced;
(6) it repeats (4) and (5) to be replaced every column data of next rock-soil layer, until having replaced all of new template
Content after the completion of replacement, separately deposits new template with preparatory customized file name and file path;
(7) it closes and does not save primary template " geotechnical investigation description ".
Further, it is specifically included according to process selecting memory node:
(1) node is initialized, and judges whether node virtual coordinate is (∞, ∞), if it is grid internal segment points N subtracts
1, it is then that N number of node shares out the work time slot according to the distance of node to grid barycentric coodinates;If it is not, then directly according to node
Distance to grid barycentric coodinates is that N number of node shares out the work time slot;
(2) Input Monitor Connector node Hash location coordinate corresponding with monitoring event, and calculate dynamic hashing position;
(3) judge in grid can working node number whether be 0, if it is dynamic hashing seat rotated to equal than preferentially
Grade neighbours' grid, and export node ID in running order in grid;If being otherwise directly in work shape in output grid
The node ID of state.
Another object of the present invention is to provide a kind of geotechnical engineering investigation mensuration program, the geotechnical engineering investigation is used
Mensuration program realizes the geotechnical engineering investigation measuring method.
Another object of the present invention is to provide a kind of terminal, the terminal, which is carried, realizes that the geotechnical engineering investigation is surveyed
Determine the controller of method.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the geotechnical engineering investigation measuring method.
Another object of the present invention is to provide a kind of ground works of geotechnical engineering investigation measuring method described in execution
Journey prospecting measurement device, the geotechnical engineering investigation include: with measurement device
Ground hardness detection module, connect with main control module, for detecting ground hardness data by ground detection device;
Ground seepage flow detection module, connect with main control module, for detecting ground seepage coefficient by ground detection device
Data;
Place image capture module, connect with main control module, for acquiring ground field image data by image pick-up device;
Main control module, with ground hardness detection module, ground seepage flow detection module, place image capture module, survey in situ
Die trial block, exploration report generation module, data memory module, display module connection, for controlling modules by single-chip microcontroller
It works normally;
In-situ test module, connect with main control module, for passing through test equipment in ground home state and stress condition
Under to rock and soil properties carry out test;
Exploration report generation module, connect with main control module, for automatically generating geotechnical investigation by automatically generating program
Description report;
Data memory module is connect with main control module, for the ground hardness by memory storage detection, seepage flow system
Number, field image data and test result, prospecting description report;
Display module is connect with main control module, for the ground hardness by display display detection, seepage coefficient, field
Ground image data and test result, prospecting description report.
Another object of the present invention is to provide a kind of building fields for carrying the geotechnical engineering investigation measurement device
Geotechnical engineering investigation sensing equipment.
Another object of the present invention is to provide a kind of geologic prospects for carrying the geotechnical engineering investigation measurement device
Field geotechnical engineering investigation sensing equipment.
Advantages of the present invention and good effect are as follows:
The present invention is reliable by the calculating of ground seepage flow detection module, precision is higher, is conducive to what project planner used
The rock-soil material seepage coefficient correlation degree of bias determines method, quasi- using simple field sampling, permeability test, statistical analysis and straight line
Conjunction can effectively determine the rock-soil material seepage coefficient correlation degree of bias, and entire step is clear, and explicit physical meaning is easy to operate, real
Strong with property, the obtained seepage coefficient correlation degree of bias may be directly applied to the calculating of geotechnical structure random seepage field;Not only limit to
In seepage coefficient, for other of Spatial Variability and correlative character hydraulic parameter (such as diffusion coefficient, than the water capacity)
Random field analysis is equally applicable, versatile;Meanwhile programming automatic generation geology can be passed through by exploration report generation module
The description of exploration report rock-soil layer, reduces human error and the low problem of man efficiency.
The memory of storage rock prospecting related data provided by the invention is based on passing through design event hash function, according to
Event is stored in from query node grid from the near to the distant by the priority of event from high to low, and Hash location is rotated to from prison
It surveys in the nearest grid of node, reduces the energy consumption of data storage and data query process interior joint.It is provided by the invention to take the photograph
As the image that device acquires video camera based on independent parameter is corrected, the resolution ratio of image is improved, guarantees the rock of prospecting
Stone image clearly.
Detailed description of the invention
Fig. 1 is geotechnical engineering investigation assay device structures block diagram provided in an embodiment of the present invention.
Fig. 2 is geotechnical engineering investigation measuring method flow chart provided in an embodiment of the present invention.
In figure: 1, ground hardness detection module;2, ground seepage flow detection module;3, place image capture module;4, master control
Module;5, in-situ test module;6, exploration report generation module;7, data memory module;8, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description includes.
Existing geotechnical investigation process, the ground seepage data inaccuracy of acquisition;Meanwhile exploration report passes through writer,
On one side against mathematical statistics table, report is write on one side, this results in not only typing being caused to report the occurrence of mistake because data are mixed and disorderly
Accidentally, and the efficiency for writing report can be reduced.The data storage algorithm of the memory of existing rock prospecting storage because of event distribution not
Uniformly, there is hot spot phenomenon in the overabundance of data for leading to certain node storages.The image pick-up device distortion phenomenon of existing prospecting rock is tight
Weight.
In order to solve the above technical problems, being explained in detail with reference to the accompanying drawing to structure of the invention.
As shown in Figure 1, geotechnical engineering investigation measurement device provided in an embodiment of the present invention includes: ground hardness determination mould
Block 1, ground seepage flow detection module 2, place image capture module 3, main control module 4, in-situ test module 5, exploration report generate
Module 6, data memory module 7, display module 8.
Ground hardness detection module 1 is connect with main control module 4, for detecting ground hardness by ground detection device
According to.
Ground seepage flow detection module 2, connect with main control module 4, for detecting ground seepage flow system by ground detection device
Number data.
Place image capture module 3 is connect with main control module 4, for acquiring ground field image data by image pick-up device.
Main control module 4, with ground hardness detection module 1, ground seepage flow detection module 2, place image capture module 3, original
Bit test module 5, exploration report generation module 6, data memory module 7, display module 8 connect, for being controlled by single-chip microcontroller
Modules work normally.
In-situ test module 5 is connect with main control module 4, for passing through test equipment in ground home state and stress item
The test that rock and soil properties are carried out under part.
Exploration report generation module 6 is connect with main control module 4, is surveyed for automatically generating ground by automatically generating program
Examine description report.
Data memory module 7 is connect with main control module 4, for the ground hardness by memory storage detection, seepage flow system
Number, field image data and test result, prospecting description report.
Display module 8 is connect with main control module 4, for by display display detection ground hardness, seepage coefficient,
Field image data and test result, prospecting description report.
2 detection method of ground seepage flow detection module provided by the invention includes:
1) rock-soil layer undisturbed soil field sampling carries out spacing distance Δ r using boring method within the scope of rock-soil layer vertical depth
Multiple original state ground field samplings;
2) different layers position rock-soil material seepage coefficient is obtained to become the multiple groups original state ground that different layers position obtains respectively
Head permeability test determines the seepage coefficient of test original state ground according to formula (1):
In formula: a is glass tube basal area, and l is specimen length, and A is sample section product, Δ h1To originate head difference, Δ h2For
End of a period head difference, t are time of penetration;
3) statistical test seepage coefficient numerical characteristic
According to mathematical statistics method, sample point statistical analysis is carried out to the seepage coefficient test value that test obtains, obtains point
Mean μ and point variances sigma2;
4) analysis local average seepage coefficient numerical characteristic selectes multiple value spacing L along depth selection, every
Sample point test value mean value constitutes one group of data in a spacing L, according to mathematical statistics method, finds out the local average of this group of data
Mean μ (L) and local average variance D2(L);
5) the variance function Г under the conditions of local average is calculated2(L)
Seepage coefficient variance function Г corresponding from different value spacing L is determined according to formula (2)2(L);
In formula: L is local average range, D2It (L) is local average variance, σ2For test value point variance;
6) (1+L is drawn2)/Г2(L)-L3Graph of relation is with (1+L2)/Г2It (L) is abscissa, L3For ordinate, will seep
Coefficient discrete point is flowed to draw in the coordinate system;
7) the rock-soil material seepage coefficient correlation degree of bias is determined
(1+L is fitted with straight line2)/Г2(L)-L3Discrete point in coordinate system, the slope of straight line are the place rock
The native vertical direction seepage coefficient correlation degree of bias.
6 generation method of exploration report generation module provided by the invention includes:
(1) customized primary template " geotechnical investigation describes .doc " and rock-soil layer mechanics index of physics mathematical statistics table, will
The data to be replaced in each column and template in rock-soil layer mechanics index of physics mathematical statistics table correspond;
(2) rock-soil layer mechanics index of physics mathematical statistics table is opened, rock-soil layer mechanics index of physics mathematical statistics table is read
The line number of last line, and count and obtain N layers of ground soil layer sum;
(3) primary template " geotechnical investigation describes .doc " is opened, content is selected entirely, by Do statement reproducting content, and
It establishes the new template of primary template content duplication and ground N layers of equal times of soil layer sum in step (2);
(4) integer variable i and j are defined:
Go to search the every of each rock-soil layer in " rock-soil layer mechanics index of physics mathematical statistics table " one by one by cyclic variable i
The data of column;The data to be replaced for searching " geotechnical investigation describes .doc " one by one are gone by cyclic variable j;
(5) the current data to be replaced for finding the current column data replacement cyclic variable j that cyclic variable i is found,
Current column data is corresponding with current data to be replaced;
(6) it repeats (4) and (5) to be replaced every column data of next rock-soil layer, until having replaced all of new template
Content after the completion of replacement, separately deposits new template with preparatory customized file name and file path;
(7) it closes and does not save primary template " geotechnical investigation describes .doc ".
As shown in Fig. 2, geotechnical engineering investigation provided in an embodiment of the present invention is specifically included with measuring method:
S101 detects ground hardness data using ground detection device;Ground seepage flow system is detected using ground detection device
Number data;Ground field image data is acquired using based on the corrected image pick-up device of independent parameter;
S102, the test that rock and soil properties are carried out under ground home state and stress condition using test equipment;It utilizes
Automatically generating program automatically generates geotechnical investigation description report;
S103 utilizes the ground hardness of the memory storage detection based on MT-PSLPS algorithm, seepage coefficient, place image
Data and test result, prospecting description report;
S104 using ground hardness, seepage coefficient, field image data and the test result of display display detection, is surveyed
Examine description report.
In step S101, the bearing calibration provided in an embodiment of the present invention based on independent parameter is specifically included:
It is assumed that the content of original image is limited in a square, and when original image is stored by pixel, picture point is equal
Even distribution;By the transverse and longitudinal coordinate at image midpoint and regard two stochastic variables, then for all picture points of image, original image as
Two stochastic variable values should be mutually indepedent, and meet:
P (x, y) power is the Joint Distribution probability density of two stochastic variable sums in formula, and p (x), p (y) are x and y and each
From distribution probability density;
It is other according to above formula as can be seen that other than amplification, diminution and the translation in linear transformation will lead to above formula and set up
Transformation, such as rotation, inclination and nonlinear transformation all will lead to above formula and no longer set up;That is the transverse and longitudinal coordinate of deformation pattern picture point is no longer
Independent value;
Thus the independent parameter D of description piece image deformation extent size, calculating formula be can define are as follows:
D=∫ ∫ (p (x, y)-p (x) p (y))Ldxdy
(2)
Obviously, when formula (1) is set up, D value is zero, and after pattern distortion, formula (1) is just no longer set up, due to deforming at this time
The value of figure is greater than zero, therefore can determine deformation parameter by optimization independent parameter, to carry out image rectification.
In step S103, MT-PSLPS algorithm provided in an embodiment of the present invention is specifically included:
(1) according to area size and event type, using Sink as reference origin, 90 °/n is angle, grid division;For
Each node distributes an actual coordinate L respectivelyRWith virtual coordinates LV, enable its initial value LV=LR;
(2) calculate node number in each grid and each node to grid element center point distance, by distance from small
To greatly node serial number, time slot of listening to or sleep is distributed for each node as the following formula, forms the node working timing figure of matrix T;
(3) 0 since the 1st row the 1st column, from left to right, distribute time slot, in case of matrix boundaries are then vertically changed to from top to bottom
Next line, and continue to distribute time slot in a reverse direction;
(4) residual memory space for inquiring each memory node in grid, the node virtual coordinate for reaching storage threshold value are repaired
It is just (∞, ∞), according to process selecting memory node;
(5) node for not reaching storage threshold value, at work in sequence matrix T, the 1st row the 1st of Cong Xincong column start, from a left side
To the right, time slot is distributed from top to bottom, in case of matrix boundaries then vertically change to next line, and when continuing distribution in a reverse direction
Gap;
(6) working node carries out data transmission;
After (7) one wheel data are transmitted, a new wheel is carried out, is repeated step (4)~step (6), until data are whole
Storage.
It is provided in an embodiment of the present invention to be specifically included according to process selecting memory node in step (4):
(1) node is initialized, and judges whether node virtual coordinate is (∞, ∞), if it is grid internal segment points N subtracts
1, it is then that N number of node shares out the work time slot according to the distance of node to grid barycentric coodinates;If it is not, then directly according to node
Distance to grid barycentric coodinates is that N number of node shares out the work time slot;
(2) Input Monitor Connector node Hash location coordinate corresponding with monitoring event, and calculate dynamic hashing position;
(3) judge in grid can working node number whether be 0, if it is dynamic hashing seat rotated to equal than preferentially
Grade neighbours' grid, and export node ID in running order in grid;If being otherwise directly in work shape in output grid
The node ID of state.
When the invention works, firstly, detecting ground hardness using ground detection device by ground hardness detection module 1
According to;Ground seepage coefficient data are detected using ground detection device by ground seepage flow detection module 2;Pass through place Image Acquisition
Module 3 acquires ground field image data using image pick-up device;Secondly, main control module 4 is set by in-situ test module 5 using test
The standby test that rock and soil properties are carried out under ground home state and stress condition;By exploration report generation module 6 using certainly
It is dynamic to generate the description report of programming automatic generation geotechnical investigation;Then, memory storage detection is utilized by data memory module 7
Ground hardness, seepage coefficient, field image data and test result, prospecting description report;Finally, being utilized by display module 8
Ground hardness, seepage coefficient, field image data and the test result of display display detection, prospecting description report.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. a kind of geotechnical engineering investigation measuring method, which is characterized in that the geotechnical engineering investigation includes: with measuring method
Ground hardness data is detected using ground detection device;Ground seepage coefficient data are detected using ground detection device;Benefit
Ground field image data is acquired with based on the corrected image pick-up device of independent parameter;
The test that rock and soil properties are carried out under ground home state and stress condition using test equipment;Using automatically generating journey
Sequence automatically generates geotechnical investigation description report;
Ground hardness, seepage coefficient, field image data and the test result of memory storage detection, prospecting description report;It deposits
In reservoir storing data, according to area size and event type, using Sink as reference origin, 90 °/n is angle, divides net
Lattice;An actual coordinate L is distributed respectively for each nodeRWith virtual coordinates LV, enable initial value LV=LR;
Node number in each grid and each node are calculated to the distance of grid element center point, is from small to large by distance
Node serial number distributes time slot of listening to or sleep as the following formula for each node, forms the node working timing figure of matrix T;
0 since the 1st row the 1st column, from left to right, distribute time slot from top to bottom, meet matrix boundaries and then vertically change to next line, and
Continue to distribute time slot in a reverse direction;
Inquire grid in each memory node residual memory space, reach storage threshold value node virtual coordinate modification be (∞,
∞), according to process selecting memory node;
The node for not reaching storage threshold value, at work in sequence matrix T, the 1st row the 1st of Cong Xincong column start, from left to right, from
Top to bottm distributes time slot, meets matrix boundaries and then vertically changes to next line, and continues to distribute time slot in a reverse direction;Working node
Carry out data transmission;After one wheel data are transmitted, a new wheel is carried out, until data all store;
Utilize ground hardness, seepage coefficient, field image data and the test result of display display detection, prospecting description report
It accuses.
2. geotechnical engineering investigation measuring method as described in claim 1, which is characterized in that the ground seepage flow detection module inspection
Survey method includes:
1) rock-soil layer undisturbed soil field sampling carries out the more of spacing distance Δ r using boring method within the scope of rock-soil layer vertical depth
A original state ground field sampling;
2) it obtains different layers position rock-soil material seepage coefficient and the multiple groups original state ground that different layers position obtains is subjected to varying head respectively
Permeability test determines the seepage coefficient of test original state ground according to formula (1):
In formula: a is glass tube basal area, and l is specimen length, and A is sample section product, Δ h1To originate head difference, Δ h2To end
Head difference, t are time of penetration;
3) statistical test seepage coefficient numerical characteristic
According to mathematical statistics method, sample point statistical analysis is carried out to the seepage coefficient test value that test obtains, obtains point mean μ
And point variances sigma2;
4) analysis local average seepage coefficient numerical characteristic selectes multiple value spacing L along depth selection, at each
One group of data is constituted away from sample point test value mean value in L, according to mathematical statistics method, finds out the local average mean value of this group of data
μ (L) and local average variance D2(L);
5) the variance function Г under the conditions of local average is calculated2(L)
Seepage coefficient variance function Г corresponding from different value spacing L is determined according to formula (2)2(L);
In formula: L is local average range, D2It (L) is local average variance, σ2For test value point variance;
6) (1+L is drawn2)/Г2(L)-L3Graph of relation is with (1+L2)/Г2It (L) is abscissa, L3For ordinate, by seepage flow system
Number discrete point is drawn in the coordinate system;
7) the rock-soil material seepage coefficient correlation degree of bias is determined:
(1+L is fitted with straight line2)/Г2(L)-L3Discrete point in coordinate system, the slope of straight line are place ground side vertically
To the seepage coefficient correlation degree of bias.
3. geotechnical engineering investigation measuring method as described in claim 1, which is characterized in that the exploration report generation module is raw
Include: at method
(1) customized primary template geotechnical investigation description and rock-soil layer mechanics index of physics mathematical statistics table, by rock-soil layer physics
The data to be replaced in each column and template in mechanical index mathematical statistics table correspond;
(2) rock-soil layer mechanics index of physics mathematical statistics table is opened, it is last to read rock-soil layer mechanics index of physics mathematical statistics table
The line number of a line, and count and obtain N layers of ground soil layer sum;
(3) primary template " geotechnical investigation description " is opened, content is selected entirely, by Do statement reproducting content, and establishing will be former
The new template of beginning template content duplication and ground N layers of equal times of soil layer sum in step (2);
(4) integer variable i and j are defined:
Go to search each column of each rock-soil layer in " rock-soil layer mechanics index of physics mathematical statistics table " one by one by cyclic variable i
Data;The data to be replaced for searching " geotechnical investigation describes .doc " one by one are gone by cyclic variable j;
(5) the current data to be replaced for finding the current column data replacement cyclic variable j that cyclic variable i is found, currently
Column data is corresponding with current data to be replaced;
(6) it repeats (4) and (5) to be replaced every column data of next rock-soil layer, all the elements until having replaced new template,
After the completion of replacement, new template is deposited separately with preparatory customized file name and file path;
(7) it closes and does not save primary template " geotechnical investigation description ".
4. geotechnical engineering investigation measuring method as described in claim 1, which is characterized in that have according to process selecting memory node
Body includes:
(1) node is initialized, and judges whether node virtual coordinate is (∞, ∞), if it is grid internal segment points N subtracts 1, so
It is afterwards that N number of node shares out the work time slot according to the distance of node to grid barycentric coodinates;If it is not, then directly according to node to net
The distance of lattice barycentric coodinates is that N number of node shares out the work time slot;
(2) Input Monitor Connector node Hash location coordinate corresponding with monitoring event, and calculate dynamic hashing position;
(3) judge in grid can working node number whether be 0, if it is dynamic hashing seat is rotated to equal than priority is adjacent
Grid is occupied, and exports node ID in running order in grid;If otherwise directly exported in running order in grid
Node ID.
5. a kind of geotechnical engineering investigation mensuration program, which is characterized in that the geotechnical engineering investigation is realized with mensuration program and weighed
Benefit requires geotechnical engineering investigation measuring method described in 1~4 any one.
6. a kind of terminal, which is characterized in that the terminal, which is carried, realizes that geotechnical engineering described in Claims 1 to 4 any one is surveyed
Examine the controller with measuring method.
7. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires geotechnical engineering investigation measuring method described in 1-4 any one.
8. a kind of geotechnical engineering investigation for executing geotechnical engineering investigation measuring method as described in claim 1 measurement dress
It sets, which is characterized in that the geotechnical engineering investigation includes: with measurement device
Ground hardness detection module, connect with main control module, for detecting ground hardness data by ground detection device;
Ground seepage flow detection module, connect with main control module, for detecting ground seepage coefficient data by ground detection device;
Place image capture module, connect with main control module, for acquiring ground field image data by image pick-up device;
Main control module, with ground hardness detection module, ground seepage flow detection module, place image capture module, in-situ test mould
Block, exploration report generation module, data memory module, display module connection are normal for controlling modules by single-chip microcontroller
Work;
In-situ test module, connect with main control module, for right under ground home state and stress condition by test equipment
The test that rock and soil properties carry out;
Exploration report generation module, connect with main control module, for automatically generating geotechnical investigation description by automatically generating program
Report;
Data memory module is connect with main control module, for the ground hardness by memory storage detection, seepage coefficient, field
Ground image data and test result, prospecting description report;
Display module is connect with main control module, for the ground hardness by display display detection, seepage coefficient, place figure
As data and test result, prospecting description report.
9. a kind of building field geotechnical engineering investigation measurement for carrying geotechnical engineering investigation measurement device described in claim 8
Equipment.
10. a kind of geologic prospect field geotechnical engineering investigation for carrying geotechnical engineering investigation measurement device described in claim 8
Use sensing equipment.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111582379A (en) * | 2020-05-09 | 2020-08-25 | 深圳市秉睦科技有限公司 | Intelligent layering method and system for rock and soil layers based on clustering algorithm |
CN113188824A (en) * | 2021-04-28 | 2021-07-30 | 安徽省水利水电工程检测有限公司 | Linear surveying method for geotechnical engineering |
CN118193927A (en) * | 2024-03-27 | 2024-06-14 | 核工业金华勘测设计院有限公司 | Geotechnical engineering geological investigation system and geotechnical engineering geological investigation method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105049506A (en) * | 2015-07-10 | 2015-11-11 | 天津工业大学 | Wireless sensing data storage algorithm |
CN105930972A (en) * | 2016-04-22 | 2016-09-07 | 北京航天勘察设计研究院有限公司 | Geotechnical engineering investigation field data acquisition system |
CN108801872A (en) * | 2018-04-18 | 2018-11-13 | 中国矿业大学 | A kind of rock-soil material seepage coefficient correlation degree of bias determines method |
CN108920439A (en) * | 2018-06-14 | 2018-11-30 | 浙江省水利河口研究院 | A method of automatically generating geological mapping report rock-soil layer description |
-
2019
- 2019-03-22 CN CN201910220809.8A patent/CN110044746A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105049506A (en) * | 2015-07-10 | 2015-11-11 | 天津工业大学 | Wireless sensing data storage algorithm |
CN105930972A (en) * | 2016-04-22 | 2016-09-07 | 北京航天勘察设计研究院有限公司 | Geotechnical engineering investigation field data acquisition system |
CN108801872A (en) * | 2018-04-18 | 2018-11-13 | 中国矿业大学 | A kind of rock-soil material seepage coefficient correlation degree of bias determines method |
CN108920439A (en) * | 2018-06-14 | 2018-11-30 | 浙江省水利河口研究院 | A method of automatically generating geological mapping report rock-soil layer description |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111582379A (en) * | 2020-05-09 | 2020-08-25 | 深圳市秉睦科技有限公司 | Intelligent layering method and system for rock and soil layers based on clustering algorithm |
CN113188824A (en) * | 2021-04-28 | 2021-07-30 | 安徽省水利水电工程检测有限公司 | Linear surveying method for geotechnical engineering |
CN118193927A (en) * | 2024-03-27 | 2024-06-14 | 核工业金华勘测设计院有限公司 | Geotechnical engineering geological investigation system and geotechnical engineering geological investigation method |
CN118193927B (en) * | 2024-03-27 | 2024-10-29 | 核工业金华勘测设计院有限公司 | Geotechnical engineering geological investigation system and geotechnical engineering geological investigation method |
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