CN115949387B - Control method for soft soil layer drilling efficiency, electronic equipment and computer storage medium - Google Patents
Control method for soft soil layer drilling efficiency, electronic equipment and computer storage medium Download PDFInfo
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- CN115949387B CN115949387B CN202211596262.XA CN202211596262A CN115949387B CN 115949387 B CN115949387 B CN 115949387B CN 202211596262 A CN202211596262 A CN 202211596262A CN 115949387 B CN115949387 B CN 115949387B
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- 238000005553 drilling Methods 0.000 title claims abstract description 159
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- 239000007787 solid Substances 0.000 claims description 26
- 230000001276 controlling effect Effects 0.000 claims description 20
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- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
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Abstract
The application relates to a control method, electronic equipment and a computer storage medium of soft soil layer drilling efficiency, wherein the control method of the soft soil layer drilling efficiency is applied to a rotary drilling rig. According to the method, the drilling efficiency of the rotary drilling rig in the soft soil layer is analyzed through virtual modeling, so that the test cost is saved, and the drilling efficiency of the rotary drilling rig in the soft soil layer is effectively improved.
Description
Technical Field
The application relates to the technical field of equipment control, in particular to a control method for soft soil layer drilling efficiency, electronic equipment and a computer storage medium.
Background
The rotary drilling rig is used as pile foundation underground space construction equipment, is mainly used for construction aiming at working conditions of large piles and rock entering, is often suitable for middle weathering and stratum above with high geological hardness, and mainly adopts a rock entering mode in the drilling process, namely, the torque of a power head is large and the rotating speed is low. However, single stratum structures in geology are rare, and shallow Kong Duowei soft soil layers of about 10 meters are used for actual pore forming. In the process of conception and implementation of the application, the applicant finds that at least the following problems exist that when the rotary drilling rig acts on a soft soil layer, the drilling efficiency is not obviously superior to that of a small machine type, and even is lower than that of the small machine type. The pressurized footage system cannot fully exert all drilling performance of the equipment during actual use, so that the soft soil layer drilling efficiency is low.
The foregoing description is provided for general background information and does not necessarily constitute prior art.
Disclosure of Invention
Aiming at the technical problems, the application provides a control method, electronic equipment and a computer storage medium for the drilling efficiency of a soft soil layer, which are used for analyzing the drilling efficiency of a rotary drilling rig in the soft soil layer through virtual modeling, so that the test cost is saved, and the drilling efficiency of the rotary drilling rig in the soft soil layer is effectively improved.
In order to solve the technical problems, the application provides a control method for soft soil layer drilling efficiency, which is applied to a rotary drilling rig and comprises the following steps:
establishing a soft soil layer virtual hole model;
determining key influence factors of the rotary drilling rig during soft soil layer operation through big data analysis based on the soft soil layer virtual hole model;
And regulating and controlling the drilling efficiency of the rotary drilling rig in soft soil layer operation according to the key influence factors.
Optionally, the establishing the soft soil layer virtual hole model includes:
Taking construction object parameters of a soft soil layer solid hole as input conditions for generating a soft soil layer virtual hole, wherein the construction object parameters of the soft soil layer solid hole comprise at least one of a geological type, a pile diameter and a hole depth;
searching a plurality of soft soil layer entity hole data with the same or partially the same parameters as the construction object;
Sequentially layering and digging from the soft soil layer solid hole data, and sequentially layering and backfilling the extracts in the soft soil layer solid holes to form soft soil layer virtual holes so as to obtain the soft soil layer virtual hole model.
Optionally, the building the soft soil layer model further includes:
Taking construction object parameters of a soft soil layer solid hole and construction operation parameters of the soft soil layer solid hole as input conditions for generating a soft soil layer virtual hole, wherein the construction object parameters of the soft soil layer solid hole comprise at least one of a geological type, a pile diameter and a hole depth, and the construction operation parameters of the soft soil layer solid hole comprise at least one of a gear, a rotating speed, a pressurizing force, a footage, a bucket type and a torque;
Searching soft soil layer entity hole data which are the same or partially the same as the construction object parameters and/or the construction operation parameters;
Sequentially layering and digging from the soft soil layer solid hole data, and sequentially layering and backfilling the extracts in the soft soil layer solid holes to form soft soil layer virtual holes so as to obtain the soft soil layer virtual hole model.
Optionally, the determining, based on the soft soil layer virtual hole model, a key influence factor of the rotary drilling rig during soft soil layer operation through big data analysis includes:
Simulating the operation of the rotary drilling rig on the soft soil layer in the soft soil layer virtual hole model;
and analyzing the relation between the plurality of influence factors and the drilling efficiency of the rotary drilling rig in soft soil layer operation to determine key influence factors.
Optionally, the influence factors include equipment working conditions and operation parameters, the equipment working conditions include at least one of equipment type and system load, and the operation parameters include at least one of pressurization force, pressurization duration, engine gear, winch pulling force, winch floating tension, footage speed and pressurization speed.
Optionally, after determining the key influencing factor of the rotary drilling rig during soft soil layer operation through big data analysis based on the soft soil layer virtual hole model, the method further comprises:
And establishing a functional relation between the key influence factors and the drilling efficiency of the rotary drilling rig in soft soil layer operation.
Optionally, the controlling the rotary drilling rig to drill the soft soil layer according to the key influence factors includes:
Acquiring initial drilling efficiency of the rotary drilling rig in soft soil layer operation;
acquiring real-time drilling efficiency of the rotary drilling rig in the process of drilling a soft soil layer;
if the real-time drilling efficiency is smaller than the initial drilling efficiency, determining the value of the key influence factor according to a functional relation between the key influence factor and the drilling efficiency of the rotary drilling rig in soft soil layer operation;
and adjusting the key influence factors according to the values of the key influence factors to enable the real-time drilling efficiency to be greater than or equal to the initial drilling efficiency.
Optionally, the obtaining the initial drilling efficiency of the rotary drilling rig during soft soil layer operation includes:
identifying geological type and working condition information;
And if the geological type is a soft soil layer, obtaining initial drilling efficiency according to the working condition information, wherein the drilling efficiency is the ratio of the footage quantity to the footage time.
The application also provides an electronic device comprising a processor, a memory and a computer program stored on the memory and operable on the processor, the computer program when executed by the processor implementing the steps of the method for controlling soft soil layer drilling efficiency as defined in any one of the above.
The application also provides a computer storage medium on which a computer program is stored which, when executed by a processor, implements the steps of the method for controlling soft soil layer drilling efficiency as described in any one of the above.
The control method of the soft soil layer drilling efficiency, the electronic equipment and the computer storage medium are applied to a rotary drilling rig and comprise the following steps of establishing a soft soil layer virtual Kong Moxing; and the drilling efficiency of the rotary drilling rig in soft soil layer operation is regulated and controlled according to the key influence factors. According to the method, the drilling efficiency of the rotary drilling rig in the soft soil layer is analyzed through virtual modeling, so that the test cost is saved, and the drilling efficiency of the rotary drilling rig in the soft soil layer is effectively improved.
Drawings
FIG. 1 is a flow chart of a method for controlling drilling efficiency of soft soil layers according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a structure for creating a soft soil layer virtual hole model according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of a method for controlling drilling efficiency of soft soil layers according to an embodiment of the present application;
Fig. 4 is a schematic structural view of an electronic device according to an embodiment of the present application.
Detailed Description
Further advantages and effects of the present application will become apparent to those skilled in the art from the disclosure of the present application, which is described by the following specific examples.
In the following description, reference is made to the accompanying drawings which describe several embodiments of the application. It is to be understood that other embodiments may be utilized and that the detailed description that follows should not be taken as limiting, and that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be further understood that the terms "comprises," "comprising," "includes," and/or "including" specify the presence of stated features, steps, operations, elements, components, items, categories, and/or groups, but do not preclude the presence, presence or addition of one or more other features, steps, operations, elements, components, items, categories, and/or groups. The terms "or" and/or "as used herein are to be construed as inclusive, or meaning any one or any combination. Thus, "A, B or C" or "A, B and/or C" means "any of A, B, C, A and B, A and C, B and C, A, B and C". An exception to this definition will occur only when a combination of elements, functions, steps or operations are in some way inherently mutually exclusive.
Fig. 1 is a flow chart illustrating a method for controlling drilling efficiency of a soft soil layer according to an embodiment of the present application. As shown in fig. 1, the method for controlling the drilling efficiency of the soft soil layer of the embodiment is applied to a rotary drilling rig, and comprises the following steps:
Step S201, a soft soil layer virtual hole model is established.
The soft soil layer drilling efficiency is low, and the soft soil layer drilling efficiency is caused by multi-factor strong coupling (such as pressurizing force, pressurizing speed, power head torque, rotating speed, main winch floating speed, geology, aperture and the like). In the prior art, the method for excavating factors influencing the construction efficiency of soft soil layers is mainly a bench test-simulated power head torque load, an experimental well-simulated main winch lifting, an experimental hole-simulated specific single geological hardness and the like. However, the "bench test" uses a torque test bench, which can only simulate the load torque singly, and cannot simulate the pressurizing process. The experimental well can only simulate the lifting speed of the main winch in the construction efficiency, and the simulation scene is single. The experimental hole can only simulate stratum with single geological hardness, the same experimental hole can not be repeatedly used, and the simulation cost for excavation conditions of different geology, pore diameter and pore depth is high, so that the experimental cost is increased. Therefore, the embodiment of the application simulates the construction process of the rotary drilling rig on the soft soil layer through the soft soil layer virtual hole model, and obtains the key influence factors influencing the rotary drilling rig to drill the soft soil layer based on multi-influence factor analysis. Therefore, the test cost is saved, and the drilling efficiency of the rotary drilling rig in soft soil layer operation is improved.
As one embodiment, establishing a soft soil layer virtual hole model includes:
taking the construction object parameters of the soft soil layer solid hole as input conditions for generating the soft soil layer virtual hole, wherein the construction object parameters of the soft soil layer solid hole comprise at least one of geology, pile diameter and hole depth;
Searching a plurality of soft soil layer entity hole data with the same or partially the same parameters as the construction object;
Sequentially layering and digging out the soft soil layer solid hole data, and sequentially layering and backfilling the extract in the soft soil layer solid hole to form a soft soil layer virtual hole so as to obtain a soft soil layer virtual hole model.
As one embodiment, the soft soil layer model is built, and further comprises:
Taking the construction object parameters of the soft soil layer solid hole and the construction operation parameters of the soft soil layer solid hole as input conditions for generating a soft soil layer virtual hole, wherein the construction object parameters of the soft soil layer solid hole comprise at least one of geology, pile diameter and hole depth, and the construction operation parameters of the soft soil layer solid hole comprise at least one of gear, rotating speed, pressurizing force, footage, bucket type and torque;
Searching soft soil layer entity hole data which are the same or partially the same as construction object parameters and/or construction operation parameters;
Sequentially layering and digging out the soft soil layer solid hole data, and sequentially layering and backfilling the extract in the soft soil layer solid hole to form a soft soil layer virtual hole so as to obtain a soft soil layer virtual hole model.
Fig. 2 is a schematic structural view illustrating the creation of a soft soil layer virtual hole model according to an embodiment of the present application. As shown in fig. 2, the 1# hole, the 2# hole and the 3# hole are three soft soil layer solid hole data with different geological structures respectively. Wherein, the 1# hole is strong weathered layer, breeze layer and no weathered layer from top to bottom in proper order, and the 2# hole is clay layer, sand layer and strong weathered layer from top to bottom in proper order, and the 3# hole is sand layer, strong weathered layer and breeze layer from top to bottom in proper order. And (3) digging out the single solid holes in a successive layering manner, for example, when the construction object of the soft soil layer solid holes is strong wind geology, digging out strong wind geological layers of the solid holes respectively, and backfilling extracts in all the single solid holes in a successive layering manner to finally form a virtual hole, and constructing a soft soil layer virtual hole model based on the virtual hole.
And step S202, determining key influence factors of the rotary drilling rig in soft soil layer operation through big data analysis based on the soft soil layer virtual hole model.
As one embodiment, determining a key impact factor of the rotary drilling rig during soft soil layer operation through big data analysis based on a soft soil layer virtual hole model comprises:
simulating the operation of the rotary drilling rig on the soft soil layer in the soft soil layer virtual hole model;
and analyzing the relation between the plurality of influence factors and the drilling efficiency of the rotary drilling rig in soft soil layer operation to determine the key influence factors.
As one embodiment, the influence factors include at least one of an equipment condition and an operation parameter, wherein the equipment condition includes at least one of an equipment type and a system load, and the operation parameter includes at least one of a pressurizing force, a pressurizing duration, an engine gear, a winch pulling force, a winch floating tension, a footage speed and a pressurizing speed.
In this embodiment, the rotary drilling rig is simulated to operate in the soft soil layer virtual hole model, and the influence on the drilling efficiency is determined by adjusting the values of different influence factors, so that the influence factor with the greatest influence on the drilling efficiency, namely, the key influence factor, is obtained through analysis. According to the embodiment of the application, the source of low drilling efficiency of a soft soil layer of a large-scale drilling machine is found out by utilizing working parameters such as working conditions, system load, pressurizing force, hoisting tension, footage speed, pressurizing speed, floating speed and the like of the big data analysis equipment, an improvement scheme is carried and big data evaluation of the drilling efficiency is carried out. The digitizing technology has outstanding advantages in the aspects of authenticity, rapidness, economy, high reusability, factor quantization decoupling and the like in the root cause decomposition and effect evaluation process.
As one embodiment, after determining the key influencing factors of the rotary drilling rig in soft soil layer operation through big data analysis based on the soft soil layer virtual hole model, the method further comprises the following steps:
and establishing a functional relation between the key influence factors and the drilling efficiency of the rotary drilling rig in soft soil layer operation.
In the embodiment, after the key influence factor is obtained through the soft soil layer virtual hole model test and is the main winch floating tension, the nonlinear function relation between the drilling efficiency V and the main winch floating tension T can be further obtained through analysis under the same geology and working condition by constructing different machine types of the rotary drilling rig based on big data.
And step S203, controlling the rotary drilling rig to drill the soft soil layer according to the key influence factors.
As one of the implementation modes, the initial drilling efficiency of the rotary drilling rig in soft soil layer operation is obtained;
Acquiring real-time drilling efficiency of the rotary drilling rig in the process of drilling a soft soil layer;
if the real-time drilling efficiency is smaller than the initial drilling efficiency, determining the value of the key influence factor according to a functional relation between the key influence factor and the drilling efficiency of the rotary drilling rig in soft soil layer operation;
and adjusting the key influence factors according to the values of the key influence factors to ensure that the real-time drilling efficiency is greater than or equal to the initial drilling efficiency.
As one embodiment, obtaining an initial drilling efficiency of the rotary drilling rig during soft soil layer operation includes:
identifying geological type and working condition information;
if the geological type is a soft soil layer, the initial drilling efficiency is obtained according to the working condition information, and the drilling efficiency is the ratio of the length-in quantity to the length-in time.
Fig. 3 is a schematic flow chart of a control method for drilling efficiency of a soft soil layer according to an embodiment of the present application. As shown in fig. 3, after the control algorithm of the key influencing factors and the drilling efficiency is determined based on the steps, the real-time adjustment of the drilling efficiency of the rotary drilling rig is realized by designing an algorithm control loop. Specifically, the current geological type and the drilling efficiency under the working condition are identified. The geological type is soft soil, and soft soil refers to cohesive soil in a state from soft plastic to plastic, such as clay, sandy soil, strong weathered geology and the like, wherein the natural water content is high, the compressibility is high and the bearing capacity is low. The soft soil layer is classified as a soft soil layer when one of the following conditions is satisfied and the thickness is greater than 0.50 m.
1) The standard bearing capacity fk is smaller than 80kPa;
2) The standard hammering number N63.5 is less than or equal to 2;
3) The resistance qc of the cone for static cone penetration is less than 0.5MPa;
4) And (5) molding.
The working conditions are pile diameter, hole depth, pressurizing force, pressurizing time length, engine gear and the like. It should be noted that the drilling efficiency of the embodiment of the application refers to the ratio of the length of the rotary drilling rig to the length time under the condition of soft soil layers. And then determining the value of the floating tension of the main winch according to the drilling efficiency and a control algorithm. Illustratively, the control algorithm expression is v=f (T), where V is drilling efficiency, T is primary hoisting floating tension, and V is inversely proportional to T over a range of values. After the value of the floating tension of the main winch is determined, the proportional current can be controlled by adjusting the proportional valve of the main winch, so that the flow of the AB opening of the main winch motor is adjusted, the larger the flow is, the faster the floating speed of the main winch is, the smaller the floating tension is, and finally the drilling efficiency is improved.
The soft soil layer drilling efficiency control method is applied to a rotary drilling rig and comprises the following steps of establishing soft soil layer virtual Kong Moxing, determining key influence factors of the rotary drilling rig during soft soil layer operation through big data analysis based on a soft soil layer virtual hole model, and regulating and controlling the drilling efficiency of the rotary drilling rig during soft soil layer operation according to the key influence factors. According to the method, the drilling efficiency of the rotary drilling rig in the soft soil layer is analyzed through virtual modeling, so that the test cost is saved, and the drilling efficiency of the rotary drilling rig in the soft soil layer is effectively improved.
Fig. 4 is a schematic structural view of an electronic device according to an embodiment of the present application. As shown in fig. 4, the present application further provides an electronic device, including a processor 310, a memory 320, and a computer program stored in the memory 320 and capable of running on the processor 310, where the computer program, when executed by the processor 310, implements the steps of the soft soil layer drilling efficiency control method according to the above embodiment.
The application also provides a computer storage medium, wherein a computer program is stored on the computer storage medium, and the computer program realizes the steps of the control method for the soft soil layer drilling efficiency in the embodiment when being executed by a processor.
The above embodiments are merely illustrative of the principles of the present application and its effectiveness, and are not intended to limit the application. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the application. Accordingly, it is intended that all equivalent modifications and variations of the application be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (9)
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