Intelligent operation and maintenance management system, method and device for panoramic navigation and path optimization

Abstract

The invention discloses an intelligent operation and maintenance management system, method and device for panoramic navigation and path optimization, and relates to the technical field of intelligent operation and maintenance management.The aperture values of all drilling points on a target machining path are compared, the drilling point corresponding to the maximum aperture value is selected as the first drilling point for sorting, the determined first drilling point is removed, and the second drilling point is selected as the second drilling point for sorting; subtracting the aperture values of the remaining drilling points from the aperture value of the first drilling point to obtain aperture difference values, sorting the remaining aperture difference values from small to large, selecting the drilling point corresponding to the minimum aperture difference value as a second drilling point, traversing all the remaining drilling points, and determining the sequence of each drilling point in the same manner to obtain a second drilling point; therefore, frequent parameter adjustment caused by great change of the hole diameter can be reduced, and the idle time of a drill bit and the loss of equipment can be reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent operation and maintenance management technology, and in particular to an intelligent operation and maintenance management system, method and device for panoramic navigation and path optimization. Background Art

[0002] In the industrial drilling process, there are cases where the hole diameters vary in size, which requires frequent parameter adjustments during the processing, increases the operating time and loss of equipment, and reduces production efficiency.

[0003] In the prior art, when faced with changes in aperture, there is a lack of effective path optimization means, which leads to frequent parameter adjustments of the equipment, increasing the drill bit idling time and equipment loss. Therefore, the present application converts the processing area into a three-dimensional analysis area through a panoramic navigation system, quantifies the coordinates of the processing points in the three-dimensional area, outputs the target processing path, evaluates the target processing path, and identifies that when drilling all processing points in the order of the target processing path, the aperture values ​​of the required holes are consistent and stable. If the aperture values ​​of the required holes are consistent, the aperture change trends of all processing points on the target processing path are analyzed. If the aperture change trend of the processing point is a linear change trend, it plays a key guiding role in the early stage of drilling processing path optimization, provides a solid basis for evaluating the drilling priority of each processing point on the target processing path, and determines the first drilling processing point through the initial processing value. Based on the first drilling processing point, the aperture difference is obtained to complete the optimization of the target processing path, which helps to reduce frequent parameter adjustments caused by large changes in aperture, reduce drill bit idling time and equipment loss. Summary of the invention

[0004] The object of the present invention is to provide an intelligent operation and maintenance management system, method and device for panoramic navigation and path optimization to solve at least one of the above-mentioned prior art problems.

[0005] First, the intelligent operation and maintenance management method of panoramic navigation and path optimization includes: Step 1: Extract the processing area through the panoramic navigation system to obtain the three-dimensional analysis area, and perform processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path; Step 2: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different processing points on the target processing path, obtain the parameter analysis value, and compare it with the parameter analysis threshold to generate an optimization analysis signal; Step 3: Based on the optimization analysis signal, the parameter change data is subjected to linear analysis to obtain linear evaluation data, which is quantified and output to obtain a linear evaluation value, which is compared with a linear evaluation threshold to generate a linear change signal; Step 4: Based on the linear change signal, determine the first drilling point, obtain the aperture difference according to the first drilling processing point, adjust the target processing path, and complete the optimization of the target processing path.

[0006] Secondly, the intelligent operation and maintenance management system for panoramic navigation and route optimization includes: Process path screening module: extract the processing area through the panoramic navigation system to obtain the three-dimensional analysis area, and perform processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path; Process path evaluation module: extracts drilling parameters on the target processing path through drilling logs, analyzes parameters of different processing points on the target processing path, obtains parameter analysis values, and compares them with parameter analysis thresholds to generate optimization analysis signals; Process path analysis module: Based on the optimization analysis signal, the parameter change data is subjected to linear analysis to obtain linear evaluation data, which is then quantified and output to obtain a linear evaluation value, which is compared with the linear evaluation threshold to generate a linear change signal; Process path optimization module: Based on the linear change signal, determine the first drilling point, obtain the aperture difference according to the first drilling processing point, adjust the target processing path, and complete the optimization of the target processing path.

[0007] The third aspect is the intelligent operation and maintenance management device for panoramic navigation and path optimization, including: The intelligent operation and maintenance management device includes a process path screening module, a process path evaluation module, a process path analysis module and a process path optimization module.

[0008] Beneficial effects of the present invention: 1. The present invention converts the processing area into a three-dimensional analysis area through a panoramic navigation system, quantifies the coordinates of the processing points in the three-dimensional area, outputs a target processing path, and evaluates the overall change range of the aperture of the processing points on the target processing path, as well as the degree of change of the aperture between adjacent processing points, to obtain a parameter analysis value, thereby reflecting the change of the aperture of the processing points on the target processing path through the parameter analysis value, which is conducive to identifying that when drilling is performed on all processing points in the order of the target processing path, the aperture values ​​of the required holes are consistent and stable; 2. The present invention extracts the aperture change curve, connects its starting and ending endpoints to obtain a fitting comparison line, calculates the slope and the fitting comparison equation according to the coordinates of the starting and ending endpoints, and then substitutes the X coordinates of the endpoints of the aperture change curve except the starting and ending endpoints into the fitting equation to obtain the fitting comparison coordinates, and at the same time combines the same X coordinates but different Y coordinates into multiple groups of different Y combinations, adopts the Alan variance calculation idea, measures the degree of closeness between the local Y coordinate change and the linear law, and counts the length of overlap with the fitting comparison line and the number of sub-curves, reflecting the overall overlap with the fitting comparison line, thereby playing a key guiding role in the early stage of drilling processing path optimization, and providing a solid basis for evaluating the drilling priority of each processing point on the target processing path; 3. After the linear change signal is generated, the present invention compares the aperture values ​​of all processing points on the target processing path, selects the maximum aperture processing point and the minimum aperture processing point, and compares the initial processing values ​​corresponding to the two to obtain the first drilling processing point, removes the first drilling processing point, and subtracts the aperture values ​​of the remaining drilling points from the aperture value of the first drilling processing point to obtain the aperture difference, sorts the remaining aperture differences from small to large, selects the processing point corresponding to the minimum aperture difference as the second drilling point, repeats the above steps, traverses all remaining processing points, and determines the drilling order of each processing point in the same way, thereby completing the optimization of the target processing path, which helps to reduce frequent parameter adjustments caused by large changes in aperture, and reduces drill bit idling time and equipment loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 It is a flow chart of the intelligent operation and maintenance management method of panoramic navigation and path optimization of the present invention; Figure 2 It is a diagram of the intelligent operation and maintenance management system of panoramic navigation and path optimization of the present invention; Figure 3 It is a structural diagram of the intelligent operation and maintenance management device for panoramic navigation and path optimization of the present invention. DETAILED DESCRIPTION

[0011] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0012] Embodiment 1: Figure 1 The flowchart of the intelligent operation and maintenance management method of panoramic navigation and path optimization provided in the first embodiment of the present invention, the embodiment of the present invention can be applied to identify whether the aperture value of each drilling point on the target processing path is stable, the intelligent operation and maintenance management method of panoramic navigation and path optimization can be executed by the intelligent operation and maintenance management system of panoramic navigation and path optimization, the intelligent operation and maintenance management system of panoramic navigation and path optimization can be implemented by software and / or hardware, and the intelligent operation and maintenance management system of panoramic navigation and path optimization can be configured in the intelligent operation and maintenance management device of panoramic navigation and path optimization. Optionally, the intelligent operation and maintenance management device of panoramic navigation and path optimization can be an electronic device, which can be a notebook, a desktop computer, a smart tablet, etc., and the embodiment of the present invention does not limit this.

[0013] like Figure 1 As shown, the intelligent operation and maintenance management method for panoramic navigation and path optimization provided by the embodiment of the present invention specifically includes the following steps: Step 1: Extract the processing area through the panoramic navigation system to obtain the three-dimensional analysis area, and perform processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path; In some embodiments, the processing area is extracted by a panoramic navigation system, and the processing area is used as a reference area, and the processing equipment position is used as the origin of the three-dimensional coordinate system to obtain a three-dimensional analysis area; Obtain the position coordinates of all processing points in the three-dimensional analysis area, and calculate the coordinate distance with the coordinate origin of the three-dimensional analysis area to obtain the initial processing value; Compare the initial processing values ​​corresponding to all processing points and sort them in ascending order to obtain the target processing path; It should be noted that the panoramic navigation system extracts the processing area: the processing area is extracted by using the image conversion in the panoramic navigation system; Step 2: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different processing points on the target processing path, obtain parameter change data, quantify the parameter change data, obtain the parameter analysis value, and compare it with the parameter analysis threshold. If the parameter analysis value is greater than the parameter analysis threshold, generate an optimization analysis signal; Exemplarily, the drilling parameters on the target machining path are extracted through the drilling log, and the process is as follows: For example, the drilling log is an Excel table, in which each row represents a drilling record, and each column records different drilling parameters, such as drilling point number, coordinate position, hole diameter, depth and drilling time; When analyzing the changes in drilling parameters, drillers can extract the required drilling parameters from the drilling log, such as coordinate position, hole diameter, depth, and drilling time; Among them, the parameter change data includes the fluctuation range value and the fluctuation degree value; Exemplarily, the apertures of all processing points on the target processing path are extracted, a two-dimensional coordinate system is established, the X-axis is the order of the processing points, the Y-axis is the aperture, the apertures of all drilling points are substituted into the two-dimensional coordinate system, and the aperture change curve is obtained; It should be noted that the order of processing points on the X-axis of the two-dimensional coordinate system is consistent with the order of processing points of the target processing path; On the aperture change curve, obtain the coordinates of the aperture peak point ( , ) and the coordinates of the aperture trough point ( , ); Substitute the coordinates of the adjacent aperture peak points and the aperture trough points into the coordinate point distance formula: , calculate and obtain the unit amplitude value L; All unit amplitude values ​​L are added and averaged to obtain the fluctuation degree value; Compare the apertures corresponding to all processing points on the target processing path, extract the maximum aperture and the minimum aperture, and make a difference between the maximum aperture and the minimum aperture to obtain the fluctuation range value; Add the fluctuation range value and the fluctuation degree value to obtain the parameter analysis value; It can be understood that the meaning of the parameter analysis value is: to analyze the aperture changes of all drilling points on the target processing path from two aspects, one is the maximum variation range of the aperture on the entire drilling path (fluctuation range value), and the other is the average level of aperture variation between adjacent processing points. Specifically, if this value is larger, it means that the overall aperture variation range on the target processing path is larger, and the aperture variation degree between adjacent processing points is larger, and there is fluctuation. If this value is smaller, it means that the overall aperture variation range on the target processing path is smaller, and the aperture variation degree between adjacent processing points is smaller, which is more stable. The parameter analysis value is compared with the parameter analysis threshold value as follows: If the parameter analysis value is greater than the parameter analysis threshold, it means that the overall range of aperture variation on the target machining path is large, and the aperture variation between adjacent machining points is large, and an optimization analysis signal is generated; If the parameter analysis value is less than or equal to the parameter analysis threshold, it means that the overall range of aperture variation on the target processing path is small, and the aperture variation between adjacent processing points is small, and an aperture stability signal is generated; Based on the aperture stability signal, all processing points in the processing area are drilled according to the target processing path; The specific implementation method of the embodiment of the present invention is as follows: the processing area is converted into a three-dimensional analysis area through a panoramic navigation system, the coordinates of the processing points in the three-dimensional area are quantified, and the target processing path is outputted. The overall range of change of the aperture of the processing points on the target processing path, as well as the degree of change of the aperture between adjacent processing points, are evaluated on the target processing path to obtain parameter analysis values, thereby reflecting the change of the aperture of the processing points on the target processing path through the parameter analysis values, which is conducive to identifying that when drilling is performed on all processing points in the order of the target processing path, the aperture values ​​of the required holes are consistent and stable.

[0014] Embodiment 2: The intelligent operation and maintenance management method for panoramic navigation and path optimization provided by the embodiment of the present invention specifically includes the following steps: Step 3: Based on the optimization analysis signal, the parameter change data is subjected to a linear analysis to obtain linear evaluation data, wherein the linear evaluation data includes a fitting coincidence value and a linear similarity value, the linear evaluation data is quantified, and a linear evaluation value is outputted to be compared with a linear evaluation threshold to obtain a linear evaluation result; Wherein, the linear evaluation result includes a linear change signal or a nonlinear change signal; In some embodiments, the aperture change curve is extracted, and the starting endpoint and the ending endpoint of the aperture change curve are connected to obtain a fitting comparison line; Substitute the starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve into the slope calculation formula: , calculate the slope corresponding to the fitted alignment line ,in,( , ) is the coordinate of the starting end point on the aperture change curve, ( , ) is the coordinate of the end point on the aperture change curve; Based on the slope of the fitted alignment line , the coordinates of the starting endpoint and the ending endpoint on the aperture change curve, and the fitting comparison equation is obtained: , where b is a constant; Remove the starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve; Substitute the remaining endpoint X coordinates on the pore size change curve into the fitting comparison equation to obtain the fitting comparison coordinates (x, ),in, represents the Y coordinate on the fitting comparison line, x represents the X coordinate on the aperture change curve, and c is the total number of X coordinates of the remaining endpoints on the aperture change curve; Exemplarily, two different Y coordinates corresponding to the endpoint and the X coordinate are combined to obtain multiple groups of different Y combinations; Choose any different Y combination; Subtract the two different Y coordinates in different Y combinations, take the absolute value, and get the difference of different Y combinations; Through the Alan variance calculation method, linear analysis is performed on the differences of multiple groups of different Y combinations. The process is as follows: S1, by formula: , calculate the mean of the difference between m adjacent different Y combinations , where m represents the interval between adjacent different Y combinations, Expressed as The total number of calculations, k represents the order of the drilling points; For example, different Y combinations are , and ; Different Y combinations The difference is , The difference is , The difference is ; S2, the mean of the Y coordinate differences corresponding to multiple groups of different Y combinations , through the formula: , and calculate the linear similarity value , Indicates calculating the average difference of m adjacent different Y combinations The total number of times; The aperture change curve is divided into several change sub-curves, and the part of the change sub-curve that overlaps with the fitting comparison line is obtained, and the length of the part of the change sub-curve is extracted, and the sum is calculated and the ratio is calculated with the total length of the aperture change curve to obtain the fitting overlap length; It should be noted that the aperture change curve division is to take the curve between the coordinates of the adjacent aperture peak points and the coordinates of the aperture trough points as a change sub-curve; The number of the sub-curves that overlap with the fitting comparison line is counted, and the ratio is calculated with the total number of sub-curves divided in the aperture change curve to obtain the number of fitting overlaps; The fitting coincidence length is multiplied by the fitting coincidence number to obtain the fitting coincidence value; The ratio of the fitting coincidence value to the linear similarity value is calculated to obtain the linear evaluation value; It can be understood that the linear evaluation value means: the linearity of the aperture change curve is evaluated by combining two factors. On the one hand, the fitting coincidence value reflects the coincidence of the aperture change curve and the fitting comparison line. On the other hand, the linear similarity value reflects the linear proximity between the aperture change curve and the fitting comparison line. It plays a key guiding role in the early stage of drilling process path optimization and provides a solid basis for evaluating the drilling priority of each processing point on the target processing path. The linearity evaluation value is compared with the linearity evaluation threshold as follows: If the linear evaluation value is greater than or equal to the linear evaluation threshold, it means that the aperture change curve has a high degree of overlap with the fitting comparison line in the overall structure and is relatively close to the fitting comparison line, and a linear change signal is generated; If the linear evaluation value is less than the linear evaluation threshold, it means that the aperture change curve has a low degree of overlap with the fitting comparison line in the overall structure and deviates from the fitting comparison line, generating a nonlinear change signal; The specific implementation method of the embodiment of the present invention is as follows: extracting the aperture change curve, connecting its starting and ending endpoints to obtain a fitting comparison line, calculating the slope and the fitting comparison equation according to the coordinates of its starting and ending endpoints, and then substituting the X coordinates of the endpoints of the aperture change curve except the starting and ending endpoints into the fitting equation to obtain the fitting comparison coordinates, and combining the same X coordinates but different Y coordinates into multiple groups of different Y combinations, using the Allan variance calculation idea to measure the degree of closeness between the local Y coordinate change and the linear law, and counting the length of overlap with the fitting comparison line and the number of sub-curves, reflecting the overall overlap with the fitting comparison line, thereby playing a key guiding role in the early stage of drilling processing path optimization, and providing a solid basis for evaluating the drilling priority of each processing point on the target processing path.

[0015] Embodiment 3: The intelligent operation and maintenance management method for panoramic navigation and path optimization provided by the embodiment of the present invention further includes the following steps: Step 4: Based on the linear change signal, determine the first drilling point, obtain the aperture difference according to the first drilling processing point, and adjust the target processing path according to the aperture difference to complete the optimization of the target processing path; In some embodiments, when a linear change signal is generated, the aperture values ​​corresponding to all processing points on the target processing path are compared, and the processing point corresponding to the maximum aperture value and the processing point corresponding to the minimum aperture value are extracted and marked as the maximum aperture processing point and the minimum aperture processing point, respectively; Obtaining the initial processing value corresponding to the maximum hole diameter processing point and the initial processing value corresponding to the minimum hole diameter processing point, and comparing the sizes, extracting the processing point corresponding to the minimum initial processing value as the first drilling processing point; Excluding the first drilling processing point, randomly selecting the remaining processing points, and subtracting the corresponding aperture value from the aperture value corresponding to the first drilling processing point to obtain the aperture difference; The aperture differences corresponding to the remaining processing points are sorted in ascending order, and the processing point corresponding to the minimum aperture difference is extracted as the second drilling processing point; Traverse the remaining processing points, and follow the method determined by the second drilling processing point until the drilling order of all processing points is determined, and the optimization of the drilling path can be completed; The specific implementation method of the embodiment of the present invention is as follows: after the linear change signal is generated, the aperture values ​​of all processing points on the target processing path are compared, the maximum aperture processing point and the minimum aperture processing point are screened out, and the initial processing values ​​corresponding to the two are compared to obtain the first drilling processing point, remove the first drilling processing point, and subtract the aperture values ​​of the remaining drilling points from the aperture value of the first drilling processing point to obtain the aperture difference, sort the remaining aperture differences from small to large, select the processing point corresponding to the minimum aperture difference as the second drilling point, repeat the above steps, traverse all remaining processing points, and determine the drilling order of each processing point in the same way, thereby completing the optimization of the target processing path, which helps to reduce frequent parameter adjustments caused by large changes in aperture, and reduce drill bit idling time and equipment loss.

[0016] Example 4: Reference Figure 2 The embodiment of the present invention provides an intelligent operation and maintenance management system for panoramic navigation and path optimization, including: Process path screening module: extract the processing area through the panoramic navigation system to obtain the three-dimensional analysis area, and perform processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path; Process path evaluation module: extracts drilling parameters on the target processing path through drilling logs, analyzes parameters of different processing points on the target processing path, obtains parameter analysis values, and compares them with parameter analysis thresholds to generate optimization analysis signals; Process path analysis module: Based on the optimization analysis signal, the parameter change data is subjected to linear analysis to obtain linear evaluation data, which is then quantified and output to obtain a linear evaluation value, which is compared with the linear evaluation threshold to generate a linear change signal; Process path optimization module: Based on the linear change signal, determine the first drilling point, obtain the aperture difference according to the first drilling processing point, adjust the target processing path, and complete the optimization of the target processing path.

[0017] Example 5: Reference Figure 3 The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored on the memory 302. When the computer program 303 is executed on the processor 301, an intelligent operation and maintenance management method for panoramic navigation and path optimization as described in any one of the above methods is implemented.

[0018] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0019] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0020] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0021] Embodiment 6: The embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the intelligent operation and maintenance management method for panoramic navigation and path optimization as described in any one of the above methods is implemented.

[0022] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0023] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0024] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0025] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. One point, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0026] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0027] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0028] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An intelligent operation and maintenance management method for panoramic navigation and path optimization, characterized in that: The following steps are involved: Step 1: Extract the processing area through the panoramic navigation system to obtain the three-dimensional analysis area, and perform processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path; Step 2: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different processing points on the target processing path, obtain the parameter analysis value, and compare it with the parameter analysis threshold to generate an optimization analysis signal; Step 3: Based on the optimization analysis signal, the parameter change data is subjected to linear analysis to obtain linear evaluation data, which is quantified and output to obtain a linear evaluation value, which is compared with a linear evaluation threshold to generate a linear change signal; Step 4: Based on the linear change signal, determine the first drilling point, obtain the aperture difference according to the first drilling processing point, adjust the target processing path, and complete the optimization of the target processing path.

2. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 1 is characterized in that: The target processing path is obtained as follows: The processing area is extracted through the panoramic navigation system, and the processing area is used as the reference area, and the position of the processing equipment is used as the origin of the three-dimensional coordinate system to obtain the three-dimensional analysis area; Obtain the position coordinates of all processing points in the three-dimensional analysis area, and calculate the coordinate distance with the coordinate origin of the three-dimensional analysis area to obtain the initial processing value; The initial processing values ​​corresponding to all processing points are compared and sorted in ascending order to obtain the target processing path.

3. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 1 is characterized in that: Analyze the parameters of different processing points on the target processing path to obtain parameter change data, which includes the fluctuation degree value and the fluctuation range value. The process is as follows: Extract the apertures of all processing points on the target processing path, substitute the apertures of all drilling points into the two-dimensional coordinate system, and obtain the aperture change curve; Obtain the coordinates of the aperture peak point and the aperture trough point, and calculate the unit amplitude value L through the coordinate point distance formula; All unit amplitude values ​​L are added and averaged to obtain the fluctuation degree value; On the target processing path, the maximum and minimum apertures are extracted and subtracted to obtain the fluctuation range value.

4. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 3 is characterized in that: Obtaining the parameter analysis value and comparing it with the parameter analysis threshold, then generating an optimization analysis signal; Add the fluctuation range value and the fluctuation degree value to obtain the parameter analysis value; If the parameter analysis value is greater than the parameter analysis threshold, an optimization analysis signal is generated.

5. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 1 is characterized in that: Perform linear analysis on the parameter change data to obtain linear evaluation data, which includes linear similarity values. The process is as follows: Connect the starting endpoint and the ending endpoint of the pore size change curve to obtain a fitting comparison line; Substitute the coordinates of the starting endpoint and the ending endpoint on the aperture change curve into the slope calculation formula to calculate the slope corresponding to the fitting comparison line. , and combined with the coordinates of the starting endpoint and the ending endpoint on the aperture change curve, the fitting comparison equation is obtained; Remove the starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve, and substitute the remaining endpoint X coordinates on the aperture change curve into the fitting comparison equation to obtain the fitting comparison coordinates; Combine two different Y coordinates corresponding to the endpoints and the X coordinates to obtain multiple groups of different Y combinations; Pick any different Y combination; Subtract the two different Y coordinates in different Y combinations, take the absolute value, and get the difference of different Y combinations; The linear similarity value is obtained by calculating the difference of multiple groups of different Y combinations through the Alan variance calculation method.

6. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 5 is characterized in that: Perform linear analysis on the parameter change data to obtain linear evaluation data, which also includes fitting coincidence values. The process is as follows: The aperture change curve is divided into several change sub-curves, and the part of the change sub-curve that overlaps with the fitting comparison line is obtained. The length of the part of the change sub-curve is extracted, and the average is calculated, and the ratio is calculated with the total length of the aperture change curve to obtain the fitting overlap length; The number of sub-curves that overlap with the fitting comparison line is counted, and the ratio is calculated with the total number of sub-curves divided in the aperture change curve to obtain the number of fitting overlaps; The fitting coincidence value is obtained by multiplying the fitting coincidence length by the fitting coincidence number.

7. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 5 is characterized in that: Obtain the linear evaluation value and compare it with the linear evaluation threshold to generate a linear change signal. The process is as follows: The ratio of the fitting coincidence value to the linear similarity value is calculated to obtain the linear evaluation value; If the linearity evaluation value is greater than or equal to the linearity evaluation threshold, a linear change signal is generated.

8. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 1 is characterized in that: Determine the first drilling point, obtain the hole diameter difference according to the first drilling processing point, and adjust the target processing path. The process is as follows: Extract the processing point corresponding to the maximum aperture value and the processing point corresponding to the minimum aperture value, and mark them as the maximum aperture processing point and the minimum aperture processing point respectively; Obtaining the initial processing value corresponding to the maximum hole diameter processing point and the initial processing value corresponding to the minimum hole diameter processing point, and extracting the processing point corresponding to the minimum initial processing value as the first drilling processing point; Excluding the first drilling processing point, randomly selecting the remaining processing points, and subtracting the corresponding aperture value from the aperture value corresponding to the first drilling processing point to obtain the aperture difference, and extracting the processing point corresponding to the minimum aperture difference as the second drilling processing point; The remaining processing points are traversed according to the method determined by the second drilling processing point until the drilling order of all processing points is determined, and the optimization of the drilling path can be completed.

9. Intelligent operation and maintenance management system for panoramic navigation and route optimization, characterized by: The system is used to execute the method described in any one of claims 1 to 8, including: Process path screening module: extract the processing area through the panoramic navigation system to obtain the three-dimensional analysis area, and perform processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path; Process path evaluation module: extracts drilling parameters on the target processing path through drilling logs, analyzes parameters of different processing points on the target processing path, obtains parameter analysis values, and compares them with parameter analysis thresholds to generate optimization analysis signals; Process path analysis module: Based on the optimization analysis signal, the parameter change data is subjected to linear analysis to obtain linear evaluation data, which is then quantified and output to obtain a linear evaluation value, which is compared with the linear evaluation threshold to generate a linear change signal; Process path optimization module: Based on the linear change signal, determine the first drilling point, obtain the aperture difference according to the first drilling processing point, adjust the target processing path, and complete the optimization of the target processing path.

10. An intelligent operation and maintenance management device for panoramic navigation and path optimization, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the intelligent operation and maintenance management method for panoramic navigation and path optimization as described in any one of claims 1-8 are implemented.

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