Intelligent Operation and Maintenance Management System, Method and Device for Panoramic Navigation and Path Optimization

Abstract

The present invention discloses an intelligent operation and maintenance management system, method and device for panoramic navigation and path optimization, which relates to the technical field of intelligent operation and maintenance management. The aperture values of all drilling points on the target processing path are compared, and the drilling point corresponding to the maximum aperture value is selected as the first sorted drilling point. The determined first drilling point is removed, and the aperture values of the remaining drilling points are subtracted from the aperture value of the first drilling point to obtain an aperture difference value. The remaining aperture difference values are sorted from small to large, and the drilling point corresponding to the minimum aperture difference value is selected as the second drilling point. All the remaining drilling points are traversed, and the order of each drilling point is determined in the same way to complete the optimization of the drilling path, thereby helping to reduce the frequent parameter adjustment caused by large changes in aperture, and reducing the idle running time of the drill bit and equipment wear and tear.

Description

Technical Field

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

[0002] In the industrial processing drilling process, there are cases where the aperture sizes are inconsistent, which causes frequent parameter adjustments during the processing, increases the running time and loss of the equipment, and reduces the production efficiency.

[0003] In the prior art, in the face of aperture changes, there are lack of effective path optimization means, resulting in frequent parameter adjustments of the equipment, increasing the idle running time of the drill bit and equipment loss. Therefore, in this application, 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 output. The target processing path is evaluated to identify that when drilling all the processing points in the order of the target processing path, the required aperture values for drilling are consistent and stable. If the required aperture values for drilling are consistent, the aperture change trend of all the processing points on the target processing path is analyzed. If the aperture change trend of the processing points is a linear change trend, it plays a key guiding role in the early stage of optimizing the drilling processing path, provides a solid basis for evaluating the drilling priority order of each processing point on the target processing path, and determines the first drilling processing point through the initial processing value. On the basis of the first drilling processing point, the aperture difference is obtained to complete the optimization of the target processing path, which helps to reduce the frequent parameter adjustments caused by large aperture changes, and reduce the idle running time of the drill bit and equipment loss. Summary of the Invention

[0004] The purpose 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] In the first aspect, an intelligent operation and maintenance management method for panoramic navigation and path optimization includes:

[0006] Step 1: Extract the processing area through the panoramic navigation system to obtain a 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;

[0007] Step 2: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different generations of processing points on the target processing path to obtain the parameter analysis value, and compare it with the parameter analysis threshold, then generate an optimization analysis signal;

[0008] Step 3: Based on the optimized analysis signal, perform a variation linear analysis on the parameter change data to obtain linear evaluation data, perform quantization processing, output a linear evaluation value, compare it with the linear evaluation threshold, and generate a linear change signal;

[0009] Step 4: Based on the linear change signal, determine the first drilling addition point. According to the first drilling processing point, obtain the hole diameter difference, adjust the target processing path, and complete the optimization of the target processing path.

[0010] In a second aspect, an intelligent operation and maintenance management system for panoramic navigation and path optimization includes:

[0011] A process path screening module: Extract the processing area through the panoramic navigation system to obtain a three-dimensional analysis area, and perform a processing sequence analysis on the processing sequences of the processing points within the three-dimensional analysis area to obtain the target processing path;

[0012] A process path evaluation module: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different generations of processing points on the target processing path to obtain parameter analysis values, compare them with the parameter analysis threshold, and generate an optimized analysis signal;

[0013] A process path analysis module: Based on the optimized analysis signal, perform a variation linear analysis on the parameter change data to obtain linear evaluation data, perform quantization processing, output a linear evaluation value, compare it with the linear evaluation threshold, and generate a linear change signal;

[0014] A process path optimization module: Based on the linear change signal, determine the first drilling addition point. According to the first drilling processing point, obtain the hole diameter difference, adjust the target processing path, and complete the optimization of the target processing path.

[0015] In a third aspect, an intelligent operation and maintenance management device for panoramic navigation and path optimization includes:

[0016] 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.

[0017] Advantages of the present invention:

[0018] 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 the target processing path, and evaluates the overall change range of the aperture diameters of the processing points on the target processing path and the degree of aperture change between adjacent processing points to obtain a parameter analysis value, so as to reflect the change situation of the aperture diameters of the processing points on the target processing path through the parameter analysis value, which is conducive to identifying that when drilling all the processing points in the order of the target processing path, the required aperture values for drilling are consistent and stable;

[0019] 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 its starting and ending endpoints, 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. At the same time, different Y coordinates are combined with the same X coordinates to form multiple different Y combinations, and the Allan variance calculation idea is adopted to measure the degree of closeness between the local Y coordinate change and the linear law, and to count the coincidence length and the number of sub-curves with the fitting comparison line, so as to reflect the overall coincidence situation with the fitting comparison line, thus playing a key guiding role in the early stage of optimizing the drilling processing path and providing a solid basis for evaluating the drilling priority order of each processing point on the target processing path;

[0020] 3. After the linear change signal is generated, the present invention compares the aperture values of all the processing points on the target processing path, selects the processing point with the largest aperture and the processing point with the smallest aperture, and compares the corresponding initial processing values of the two to obtain the first drilling processing point. Excluding the first drilling processing point, the difference between the aperture values of the remaining drilling points and the aperture value of the first drilling processing point is obtained to get the aperture difference. The remaining aperture differences are sorted from small to large, and the processing point corresponding to the smallest aperture difference is selected as the second drilling point. Repeat the above steps to traverse all the remaining processing points, and determine the drilling order of each processing point in the same way, so as to complete the optimization of the target processing path, which helps to reduce the frequent parameter adjustment caused by large changes in the aperture, and reduce the idle running time of the drill bit and equipment loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained without creative efforts.

[0022] Figure 1 It is a flowchart of an intelligent operation and maintenance management method for panoramic navigation and path optimization of the present invention;

[0023] Figure 2 It is a diagram of the intelligent operation and maintenance management system for panoramic navigation and path optimization of the present invention;

[0024] 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. Specific embodiments

[0025] In order to enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0026] Embodiment 1: Figure 1 It is a flowchart of the intelligent operation and maintenance management method for panoramic navigation and path optimization provided by Embodiment 1 of the present invention. The embodiments of the present invention are applicable to identifying whether the aperture values of each drilling point on the target processing path are stable. The intelligent operation and maintenance management method for panoramic navigation and path optimization can be executed by the intelligent operation and maintenance management system for panoramic navigation and path optimization. The intelligent operation and maintenance management system for panoramic navigation and path optimization can be implemented by software and / or hardware, and the intelligent operation and maintenance management system for panoramic navigation and path optimization can be configured in the intelligent operation and maintenance management device for panoramic navigation and path optimization. Optionally, the intelligent operation and maintenance management device for panoramic navigation and path optimization can be an electronic device, and the electronic device can be a notebook, a desktop computer, a smart tablet, etc. The embodiments of the present invention do not limit this.

[0027] As Figure 1 shown, the intelligent operation and maintenance management method for panoramic navigation and path optimization provided by the embodiments of the present invention specifically includes the following steps:

[0028] Step 1: Extract the processing area through the panoramic navigation system to obtain a three-dimensional analysis area, and perform a processing sequence analysis on the processing sequence of the processing points in the three-dimensional analysis area to obtain the target processing path;

[0029] In some embodiments, 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;

[0030] Obtain the position coordinates of all processing points in the three-dimensional analysis area, and calculate the coordinate distance from the coordinate origin of the three-dimensional analysis area to obtain the initial processing value;

[0031] Compare the initial processing values corresponding to all processing points, and sort them in ascending order to obtain the target processing path;

[0032] It should be noted that the panoramic navigation system extracts the processing area: the image conversion within the panoramic navigation system is used to extract the processing area;

[0033] Step 2: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different generations of processing points on the target processing path to obtain parameter change data, perform quantization processing on the parameter change data to obtain parameter analysis values, and compare them with the parameter analysis threshold. If the parameter analysis value is greater than the parameter analysis threshold, an optimization analysis signal is generated;

[0034] Exemplarily, the process of extracting the drilling parameters on the target processing path through the drilling log is as follows:

[0035] For example, the drilling log is an Excel table, where 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, etc.;

[0036] When analyzing the changes in drilling parameters, the drilling personnel can extract the required drilling parameters from the drilling log, such as coordinate position, hole diameter, depth, and drilling time, etc.;

[0037] Among them, the parameter change data includes a fluctuation range value and a fluctuation degree value;

[0038] Exemplarily, extract the hole diameters of all processing points on the target processing path, establish a two-dimensional coordinate system, with the X-axis being the order of processing points and the Y-axis being the hole diameter. Substitute the hole diameters of all drilling points into the two-dimensional coordinate system to obtain a hole diameter change curve;

[0039] It should be noted that the sorting of processing points on the X-axis of the two-dimensional coordinate system is consistent with the sorting of processing points on the target processing path;

[0040] On the hole diameter change curve, obtain the coordinates of the hole diameter peak point ( , ) and the coordinates of the hole diameter valley point ( , );

[0041] Substitute the coordinates of adjacent hole diameter peak points and hole diameter valley points into the coordinate point distance formula: , and calculate to obtain the unit amplitude value L;

[0042] Sum up all the unit amplitude values L and take the average to obtain the fluctuation degree value;

[0043] Compare the hole diameters corresponding to all the machining points on the target machining path, extract the maximum hole diameter and the minimum hole diameter, and subtract the minimum hole diameter from the maximum hole diameter to obtain the fluctuation range value;

[0044] Add up the fluctuation range value and the fluctuation degree value to obtain the parameter analysis value;

[0045] It can be understood that the meaning represented by the parameter analysis value is as follows: Analyze the change of the hole diameters of all the drilling points on the target machining path from two aspects. One is the maximum change range (fluctuation range value) of the hole diameter along the entire drilling path, and the other is the average level of the change amplitude of the hole diameters between adjacent machining points. Specifically, if this value is larger, it indicates that the overall change range of the hole diameter on the target machining path is larger, and the change degree of the hole diameters between adjacent machining points is larger, showing fluctuations. If this value is smaller, it indicates that the overall change range of the hole diameter on the target machining path is smaller, and the change degree of the hole diameters between adjacent machining points is smaller, being relatively stable;

[0046] Compare the parameter analysis value with the parameter analysis threshold, and the process is as follows:

[0047] If the parameter analysis value is greater than the parameter analysis threshold, it indicates that the overall change range of the hole diameter on the target machining path is larger, and the change degree of the hole diameters between adjacent machining points is larger, and an optimization analysis signal is generated;

[0048] If the parameter analysis value is less than or equal to the parameter analysis threshold, it indicates that the overall change range of the hole diameter on the target machining path is smaller, and the change degree of the hole diameters between adjacent machining points is smaller, and a hole diameter stable signal is generated;

[0049] Based on the hole diameter stable signal, perform drilling on all the machining points in the machining area according to the target machining path;

[0050] The specific implementation manner of the embodiment of the present invention is as follows: Convert the machining area into a three-dimensional analysis area through a panoramic navigation system, quantitatively process the coordinates of the machining points in the three-dimensional area, output the target machining path, and evaluate the overall change range of the hole diameters of the machining points on the target machining path and the change degree of the hole diameters between adjacent machining points, and obtain the parameter analysis value, so as to reflect the change situation of the hole diameters of the machining points on the target machining path through the parameter analysis value, which is beneficial to identifying that when drilling all the machining points in sequence according to the target machining path, the required hole diameter values for drilling are consistent and stable.

[0051] Embodiment 2: The intelligent operation and maintenance management method for panoramic navigation and path optimization provided by the embodiment of the present invention specifically further includes the following steps:

[0052] Step 3: Based on the optimized analysis signal, perform a linear analysis on the parameter change data to obtain linear evaluation data. Among them, the linear evaluation data includes a fitting coincidence value and a linear similarity value. Quantify the linear evaluation data, output a linear evaluation value, and compare it with a linear evaluation threshold to obtain a linear evaluation result;

[0053] Among them, the linear evaluation result includes a linear change signal or a non-linear change signal;

[0054] In some embodiments, extract the aperture change curve, connect the starting endpoint and the ending endpoint of the aperture change curve to obtain a fitting comparison line;

[0055] 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 fitting comparison line , where, ( , ) is the starting endpoint coordinate on the aperture change curve, ( , ) is the ending endpoint coordinate on the aperture change curve;

[0056] Based on the slope corresponding to the fitting comparison line, the starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve, obtain the fitting comparison equation: , where b is a constant;

[0057] Exclude the starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve;

[0058] Substitute the remaining endpoint X coordinates on the aperture change curve into the fitting comparison equation to obtain the fitting comparison coordinates (x, ), where, 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 remaining endpoint X coordinates on the aperture change curve;

[0059] Exemplarily, combine two different Y coordinates corresponding to the same X coordinate of the endpoints to obtain multiple different Y combinations;

[0060] Arbitrarily select a different Y combination;

[0061] Take the difference between the two different Y coordinates in the different Y combination and take the absolute value to obtain the different Y combination difference;

[0062] Through the Allan variance calculation method, perform a linear analysis on the multiple different Y combination differences. The process is as follows:

[0063] S1, through the formula: , calculate the mean value of the differences of m adjacent different Y combinations , where m represents the interval of adjacent different Y combinations, is expressed as the total number of calculations, and k represents the sorting of the drilling points;

[0064] For example, the different Y combinations are , and ;

[0065] The difference of the different Y combination is , the difference of is the difference of ;

[0066] S2. Based on the mean value of the Y coordinate differences corresponding to multiple groups of different Y combinations , through the formula: , calculate the linear similarity value , represents the total number of times of calculating the average value of the differences of adjacent m different Y combinations ;

[0067] Divide the aperture change curve into several sub-change curves, obtain the overlapping sub-change curves of the sub-change curves and the fitting comparison line, extract the lengths of the overlapping sub-change curves, sum them up and calculate the mean value, and calculate the ratio with the total length of the aperture change curve to obtain the fitting overlap length;

[0068] It should be noted that the division of the aperture change curve is to take the curve between the coordinates of adjacent aperture peak points and aperture valley points as a sub-change curve;

[0069] Count the number of sub-change curves that overlap between the sub-change curves and the fitting comparison line, and calculate the ratio with the total number of sub-change curves divided within the aperture change curve to obtain the fitting overlap number;

[0070] Multiply the fitting overlap length by the fitting overlap number to obtain the fitting overlap value;

[0071] Calculate the ratio of the fitting overlap value to the linear similarity value to obtain the linear evaluation value;

[0072] It can be understood that the meaning represented by the linear evaluation value is as follows: the linear degree of the aperture change curve is evaluated by integrating two aspects of factors. On the one hand, the fitting coincidence value reflects the coincidence situation between the aperture change curve and the fitting comparison line. On the other hand, the linear similarity value reflects the linear proximity degree between the aperture change curve and the fitting comparison line, playing a key guiding role in the early stage of optimizing the drilling processing path and providing a solid basis for evaluating the drilling priority order of each processing point on the target processing path;

[0073] Compare the linear evaluation value with the linear evaluation threshold, and the process is as follows:

[0074] If the linear evaluation value is greater than or equal to the linear evaluation threshold, it indicates that the aperture change curve has a high degree of coincidence with the fitting comparison line in the overall structure and is relatively close to the fitting comparison line, generating a linear change signal;

[0075] If the linear evaluation value is less than the linear evaluation threshold, it indicates that the aperture change curve has a low degree of coincidence with the fitting comparison line in the overall structure and is relatively deviated from the fitting comparison line, generating a non - linear change signal;

[0076] The specific implementation manner of the embodiment of the present invention is as follows: extract the aperture change curve, connect its starting and ending endpoints to obtain the fitting comparison line, calculate the slope and the fitting equation according to the coordinates of its starting and ending endpoints, then substitute 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. At the same time, combine different Y coordinates with the same X coordinate to form multiple different Y combinations, adopt the Allan variance calculation idea to measure the proximity degree of the local Y coordinate change to the linear law, and count the coincidence length and the number of sub - curves with the fitting comparison line to reflect the overall coincidence situation with the fitting comparison line, thereby playing a key guiding role in the early stage of optimizing the drilling processing path and providing a solid basis for evaluating the drilling priority order of each processing point on the target processing path.

[0077] Embodiment 3: The intelligent operation and maintenance management method for panoramic navigation and path optimization provided by the embodiment of the present invention specifically further includes the following steps:

[0078] Step Four: Based on the linear change signal, determine the first drilling addition 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;

[0079] In some embodiments, when generating the linear change signal, compare the aperture values corresponding to all processing points on the target processing path, extract the processing points corresponding to the maximum aperture value and the minimum aperture value, and mark them as the maximum aperture processing point and the minimum aperture processing point respectively;

[0080] Obtain the initial processing value corresponding to the maximum aperture processing point and the initial processing value corresponding to the minimum aperture processing point, compare their sizes, and extract the processing point corresponding to the minimum initial processing value as the first drilling processing point;

[0081] Excluding the first drilling processing point, randomly select the remaining processing points, and subtract the aperture value corresponding to the remaining processing points from the aperture value corresponding to the first drilling processing point to obtain the aperture difference;

[0082] Sort the aperture differences corresponding to the remaining processing points in ascending order, and extract the processing point corresponding to the minimum aperture difference as the second drilling processing point;

[0083] Traverse the remaining processing points, and determine the drilling order of all processing points in the same way as determined by the second drilling processing point, then the optimization work of the drilling path can be completed;

[0084] The specific implementation manner of the embodiment of the present invention is as follows: When a linearly varying signal is generated, compare the aperture values of all processing points on the target processing path, screen out the maximum aperture processing point and the minimum aperture processing point, and compare the initial processing values corresponding to the two to obtain the first drilling processing point. Excluding the first drilling processing point, subtract the aperture value 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 in ascending order, and select the processing point corresponding to the minimum aperture difference as the second drilling point. Repeat the above steps, traverse all the remaining processing points, and determine the drilling order of each processing point in the same way, so as to complete the optimization of the target processing path, which helps to reduce the frequent parameter adjustment caused by large changes in the aperture, reduce the idle running time of the drill bit and equipment loss.

[0085] Example 4: Refer to Figure 2 , the embodiment of the present invention provides an intelligent operation and maintenance management system for panoramic navigation and path optimization, including:

[0086] Process path screening module: Extract the processing area through the panoramic navigation system to obtain a three-dimensional analysis area, and perform processing sequence analysis on the processing sequences of the processing points in the three-dimensional analysis area to obtain the target processing path;

[0087] Process path evaluation module: Extract the drilling parameters on the target processing path through the drilling log, analyze the parameters of different generations of processing points on the target processing path to obtain the parameter analysis value, and compare it with the parameter analysis threshold, then generate an optimization analysis signal;

[0088] Process path analysis module: Based on the optimization analysis signal, perform linear change analysis on the parameter change data to obtain linear evaluation data, perform quantization processing, output to obtain the linear evaluation value, compare it with the linear evaluation threshold, and generate a linearly varying signal;

[0089] Process path optimization module: Based on the linearly varying signal, determine the first drilling addition point. According to the first drilling processing point, obtain the aperture difference, and adjust the target processing path to complete the optimization of the target processing path.

[0090] Example 5: Refer to Figure 3 , the embodiment of the present invention also provides a computer device 3, including: a memory 302, a processor 301, and a computer program 303 stored on the memory 302. When the computer program 303 is executed on the processor 301, it implements the intelligent operation and maintenance management method for panoramic navigation and path optimization as described in any one of the above methods.

[0091] The computer device 3 may be a computing device such as a desktop computer, a notebook, a palm computer, and 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 can understand that

[0092] Figure 3 merely examples of the computer device 3, which do not constitute a limitation on the computer device 3. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0093] The so-called processor 301 may be a central processing unit (CPU). The processor 301 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0094] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as the hard disk or memory of the computer device 3. In some 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 Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the computer device 3. Further, the memory 302 may also include both the internal storage unit and the external storage device of the computer device 3. The memory 302 is used to store an operating system, application programs, a 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.

[0095] Embodiment 6: The embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it implements the intelligent operation and maintenance management method of panoramic navigation and path optimization as described in any one of the above methods.

[0096] 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 such an understanding, to implement all or part of the processes in the above embodiment methods of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the photographing device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium may not be an electrical carrier signal and a telecommunication signal.

[0097] In the above embodiments, the descriptions of the various embodiments have their own focuses. For parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0098] Those of ordinary skill in the art will realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0099] In the embodiments disclosed in this application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another

[0100] point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] The above formulas are all dimensionless and take their numerical calculations. The formula is a formula obtained by software simulation by collecting a large amount of data to approximate the real situation. The preset parameters in the formula are set by technicians in the art according to the actual situation.

[0103] The above has described a detailed description of an embodiment of the present invention, but the content described is only a preferred embodiment of the present invention and cannot be considered to be used to limit the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the scope covered by the patent 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; 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; Compare the initial processing values ​​corresponding to all processing points and sort them in ascending order 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 points to be processed 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 processing 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: 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.

3. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 2 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.

4. 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 starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve into the slope calculation formula, calculate the slope a corresponding to the fitting comparison line, and combine the starting endpoint coordinates and the ending endpoint coordinates on the aperture change curve to obtain the fitting comparison equation; 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.

5. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 4 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 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 value is obtained by multiplying the fitting coincidence length by the fitting coincidence number.

6. The intelligent operation and maintenance management method for panoramic navigation and path optimization according to claim 4 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.

7. 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 processing 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.

8. 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 7, 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 points to be processed 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, the first drilling processing point is determined, and the aperture difference is obtained according to the first drilling processing point, and the target processing path is adjusted to complete the optimization of the target processing path.

9. 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 1-7 are implemented.

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