Modular anchor rod drilling machine shift consumption correction system and method based on multi-source engineering data
Patent Information
- Application Number
- CN202611183026.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-08-05
- Publication Date
- 2026-10-27
AI Technical Summary
[0007]为此,本发明提供基于多源工程数据的模块化锚杆钻机台班消耗量修正系统及方法,以解决现有技术中无法将岩土数据、地形数据与模块化锚杆钻机实际运行工况进行实时耦合,导致设备消耗量测算与动态施工场景失配的问题
[0045]本发明具有如下优点:本发明通过模块配置识别模块读取施工方案中的结构化数据,将动力模块并联组数与功能模块启用状态转化为可识别的模块特征参数,使设备折旧、检修及维护的测算基准能够随实际启用模块组合动态调整,解决了现有技术中固定配置参数导致的估算基准失准问题。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of anchor drilling rig technology, and more specifically to a modular anchor drilling rig shift consumption correction system and method based on multi-source engineering data. Background Technology
[0002] In 35kV~750kV overhead transmission line projects, modular anchor drilling rigs are being gradually promoted for the construction of rock anchor foundations in mountainous areas. This equipment consists of eight modules: a crawler chassis, truss, drill arm, hydraulic power, hydraulic control, air compressor power, air compressor, and dust removal system. It can be flexibly configured with 2 to 6 power modules depending on transportation conditions and geological features. Each module weighs less than 200kg, solving the problem of transporting large equipment in mountainous areas.
[0003] In existing technologies, the operating parameters of modular anchor drilling rigs (such as power module full load rate, single hole operation time, and fuel consumption rate) are usually set based on the rated operating conditions under a fixed configuration, without considering the dynamic impact of actual construction rock conditions on the equipment's operating status. This can easily lead to the following problems:
[0004] 1. Lack of linkage mechanism between module configuration and equipment operating conditions: The number of parallel power modules and the number of functional modules selected for modular anchor drilling rigs directly affect the total output power and mechanical load distribution of the equipment. However, the existing operating condition setting method uses a single fixed configuration parameter, which cannot reflect the differences in the actual operating status of the equipment under different module combinations, resulting in inaccurate estimation benchmarks for equipment depreciation and mechanical wear.
[0005] 2. Lack of a mapping relationship between rock mass physical and mechanical parameters and drilling speed: The drilling speed of modular anchor drilling rigs varies significantly in different rock masses. For example, it can reach 0.8 m / min in moderately weathered conglomerate, but only 0.2~0.3 m / min in moderately weathered granite. Changes in drilling speed directly affect the single-hole operation time and the full load rate of the power module, thus altering the ratio of idle to full-load fuel consumption within a shift. Existing technology treats fuel and power consumption as a fixed value, ignoring the physical law that drilling speed decreases exponentially with increasing rock mass strength, leading to a significant deviation between fuel consumption calculations and actual operating conditions.
[0006] 3. Failure to incorporate terrain parameters into the adjustment of equipment installation, dismantling, and relocation: Modular anchor drilling rigs require module installation and dismantling at each tower location, with installation, dismantling, and relocation time accounting for approximately 30% of the total shift's working hours. Furthermore, the journey from the foot of the mountain to the tower location often requires manual handling or cableway transportation. Increased slope leads to increased work done by the gravitational component, and the increased manual transport distance linearly extends the handling time, which in turn easily leads to a decrease in installation and dismantling efficiency. Summary of the Invention
[0007] To address this issue, the present invention provides a modular anchor drilling rig shift consumption correction system and method based on multi-source engineering data, in order to solve the problem in the prior art that the geotechnical data and terrain data cannot be coupled with the actual operating conditions of the modular anchor drilling rig in real time, resulting in a mismatch between equipment consumption calculation and dynamic construction scenarios.
[0008] To achieve the above objectives, the present invention provides the following technical solution:
[0009] Firstly, a modular anchor drilling rig shift consumption correction system based on multi-source engineering data includes a module configuration identification module, a dual-parameter acquisition module, a baseline cost calculation module, a dual-channel correction module, and a dynamic calculation module.
[0010] The module configuration identification module is used to identify the number of power modules in parallel and the activation status vector of the functional modules of the modular anchor drilling rig in the current construction task, and output the module characteristic parameter data packet;
[0011] The dual-parameter acquisition module is used to collect geological characteristic parameters including the uniaxial compressive strength, basic quality grade and weathering coefficient of the rock mass at the construction tower site, and topographic characteristic parameters including the slope of the construction tower site and the manual transportation distance.
[0012] The baseline cost calculation module can call the pre-stored basic database according to the module feature parameter data package to determine the baseline depreciation cost, baseline inspection cost, baseline maintenance cost and baseline installation and dismantling cost corresponding to the baseline configuration;
[0013] The dual-channel correction module is used to calculate the drilling speed correction coefficient and the fuel load rate correction coefficient based on geological feature parameters. It can also calculate the installation and dismantling frequency correction coefficient and the off-site transportation cost correction coefficient based on terrain feature parameters.
[0014] The dynamic calculation module can calculate and output the shift consumption of the modular anchor drilling rig based on the benchmark depreciation cost, benchmark inspection cost, benchmark maintenance cost, benchmark installation and dismantling cost, drilling speed correction coefficient, fuel full load rate correction coefficient, installation and dismantling frequency correction coefficient, and off-site transportation cost correction coefficient. This is used to represent the comprehensive resource consumption level of the modular anchor drilling rig under specific module configuration, specific rock mass conditions, and specific terrain conditions.
[0015] Furthermore, the specific content of the module configuration identification module is as follows:
[0016] 1) Read the structured data file of the construction plan through the data interface to determine the number of parallel power modules and the activation status vector of the functional modules under the current task;
[0017] 2) Combine the number of parallel power modules with the activation state vector of the functional modules to generate a unique module feature identifier, and use the module feature identifier as the query key to call the module feature parameter lookup table pre-stored in the local database;
[0018] 3) Based on the query results, obtain the module feature parameter data package, which includes data such as equipment budget price and total output power, as well as the number of parallel power modules and the activation status vector of the functional modules.
[0019] Furthermore, the dual-parameter acquisition module includes a geological parameter acquisition submodule and a terrain parameter acquisition submodule;
[0020] The geological parameter acquisition submodule communicates with the geotechnical investigation database through a data interface, reads the investigation report of the construction tower site, extracts the original value of uniaxial compressive strength and the evaluation result of the basic quality grade of the rock mass, and automatically determines the weathering coefficient according to the textual description of the weathering degree in the investigation report and the preset mapping rules.
[0021] The terrain parameter acquisition submodule accesses the digital elevation model database through a data interface. It can query the terrain data of the grid where the construction tower is located based on the tower number and read the slope value at the tower location. At the same time, it reads the transportation route planning data in the construction organization design, extracts and outputs the manpower transportation distance.
[0022] Furthermore, the dual-channel correction module includes a geological parameter correction submodule and a terrain parameter correction submodule;
[0023] The quality parameter correction submodule can calculate the drilling speed correction coefficient based on the uniaxial compressive strength and weathering coefficient in the geological characteristic parameters, and determine the fuel load rate correction coefficient and the shift fuel consumption based on the drilling speed correction coefficient.
[0024] The terrain parameter correction submodule can calculate the installation and dismantling frequency correction coefficient and the off-site transportation cost correction coefficient based on terrain feature parameters.
[0025] Furthermore, the fuel load factor correction coefficient fuel consumption per shift The calculation formula is as follows:
[0026]
[0027] in, The baseline load factor; This is a correction factor for drilling speed;
[0028]
[0029] in, This refers to the working hours per shift. This refers to fuel consumption when the vehicle is not in use. Fuel consumption at full load; This is a correction factor for the frequency of installation and dismantling. The disturbance coefficient for fuel consumption during installation, dismantling, and relocation.
[0030] Furthermore, the installation / dismantling frequency correction coefficient Off-site freight adjustment factor The calculation formula is as follows:
[0031]
[0032] in, Slope; For human transport distance; The preset slope influence factor reflects the degree of influence of gravity component on installation and dismantling efficiency; The preset human transport distance influencing factor reflects the degree of influence of transport distance on the frequency of installation and dismantling;
[0033]
[0034] in, For human transport distance; This is an additional factor for off-site freight costs; The normalized denominator for human transport distance.
[0035] Furthermore, the aforementioned daily shift consumption The calculation formula is as follows:
[0036]
[0037] in, This refers to the module value weighting coefficient. This refers to the number of power modules connected in parallel. This refers to the unit price of diesel fuel. The base off-site freight rate; For labor costs; Depreciation expense based on base; The standard maintenance fee; Base maintenance fee; The installation and dismantling cost is based on the standard.
[0038] Secondly, the modular anchor drilling rig shift consumption correction method based on multi-source engineering data includes the following steps:
[0039] S1: Read the structured data file of the construction plan through the data interface, identify the number of parallel power modules and the activation status vector of the functional modules of the modular anchor drilling rig in the current construction task, generate module feature identifiers, and use the module feature identifiers as query keys to extract the corresponding equipment budget price, total output power and total module weight from the pre-stored module feature parameter lookup table to obtain the module feature parameter data package.
[0040] S2: Communicates with the geotechnical investigation database through the data interface to obtain the rock mass physical and mechanical parameters of the borehole points associated with the tower location, including uniaxial compressive strength, basic rock mass quality grade and weathering coefficient; at the same time, obtains the slope value at the tower location and extracts the manpower transportation distance from the unloading point at the foot of the mountain to the tower location from the construction organization design data.
[0041] S3: Based on the module feature parameter data package, call the pre-stored basic database to determine the benchmark depreciation cost, benchmark repair cost, benchmark maintenance cost, and benchmark installation and dismantling cost corresponding to the benchmark configuration;
[0042] S4: Calculate the drilling speed correction coefficient based on the uniaxial compressive strength, weathering coefficient, and the exponential decay law of rock mass strength and drilling speed; determine the fuel load rate correction coefficient based on the drilling speed correction coefficient, and calculate the shift fuel consumption based on the fuel load rate correction coefficient, no-load fuel consumption, and full-load fuel consumption.
[0043] S5: Calculate the installation and dismantling frequency correction factor and off-site transportation cost correction factor based on the slope and manpower transportation distance;
[0044] S6: Based on the benchmark depreciation cost, benchmark inspection cost, benchmark maintenance cost, benchmark installation and dismantling cost, daily fuel consumption, installation and dismantling frequency correction factor, and off-site transportation cost correction factor, calculate and output the daily fuel consumption of the modular anchor drilling rig.
[0045] The present invention has the following advantages: The present invention reads the structured data in the construction plan through the module configuration identification module, and converts the number of parallel power modules and the activation status of functional modules into identifiable module characteristic parameters, so that the calculation benchmark for equipment depreciation, overhaul and maintenance can be dynamically adjusted according to the actual combination of activated modules, thus solving the problem of inaccurate estimation benchmark caused by fixed configuration parameters in the prior art.
[0046] Meanwhile, the geological parameter correction submodule calculates the drilling speed correction coefficient and the fuel full load rate correction coefficient based on the exponential decay law of the uniaxial compressive strength of the rock mass and the drilling speed, so that the fuel consumption calculation results match the physical operating state of the equipment under real rock mass conditions, thus solving the calculation deviation problem caused by the fixed fuel power consumption in the existing technology.
[0047] By integrating the terrain parameter correction submodule with the digital elevation model database, the slope of the tower site and the manpower transportation distance are obtained. The installation and dismantling frequency correction coefficient and the off-site transportation cost correction coefficient are calculated, reflecting the objective physical impact of slope and manpower transportation distance on the module installation and dismantling efficiency. This solves the estimation distortion problem caused by the fixed installation, dismantling and relocation parameters in the existing technology.
[0048] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. Attached Figure Description
[0049] To more intuitively illustrate the prior art and this application, exemplary drawings are provided below. It should be understood that the specific shapes and structures shown in the drawings should not generally be regarded as limiting conditions for implementing this application; for example, based on the technical concept disclosed in this application and the exemplary drawings, those skilled in the art are able to easily make conventional adjustments or further optimizations to the addition / reduction / classification, specific shapes, positional relationships, connection methods, size ratios, etc. of certain modules (components).
[0050] Figure 1 This is a modular architecture diagram of the modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to the present invention.
[0051] Figure 2 This is an implementation architecture diagram of the modular anchor drilling rig shift consumption correction method based on multi-source engineering data of the present invention. Detailed Implementation
[0052] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. It should be understood that these embodiments are merely for further explanation of the present invention and should not be construed as limiting the scope of protection of the present invention. Technical engineers in the field can make some non-essential improvements and adjustments to the present invention based on the above-described content. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0053] Please see Figure 1 The modular anchor drilling rig shift consumption correction system based on multi-source engineering data includes a module configuration identification module, a dual-parameter acquisition module, a baseline cost calculation module, a dual-channel correction module, and a dynamic calculation module.
[0054] The module configuration identification module is used to identify the number of parallel power modules and the activation status vector of functional modules of the modular anchor drilling rig in the current construction task, and outputs a data package of module characteristic parameters. This facilitates the conversion of the number of parallel power modules and the activation status of functional modules of the anchor drilling rig into identifiable and subsequently calculated module characteristic parameters, and realizes the dynamic selection of the benchmark cost based on the actual value of the combination of activated modules, so as to achieve the purpose of calculating the daily consumption as the module configuration changes.
[0055] The specific details of the module configuration identification module are as follows:
[0056] 1) Read the structured data file of the construction plan through the data interface. The file defines the number of parallel groups of the power module under the current task and the activation status vector of the functional modules including the dust removal module, grouting module, and auxiliary crane module in a parameterized form. The off state is recorded as 0 and the on state is recorded as 1.
[0057] 2) Combine the number of parallel power modules with the activation state vector of the functional modules to generate a unique module feature identifier. This module feature identifier serves as the query key, calling a module feature parameter lookup table pre-stored in the local database. This lookup table is stored in a two-dimensional table format, with each row corresponding to a specific module configuration consisting of the number of parallel power modules and the activation state vector of the functional modules. Each column stores the corresponding technical parameters, including at least the equipment budget price, total output power, and total module weight for that configuration.
[0058] 3) Based on the query results, the matched equipment budget price, total output power and other data, together with the number of parallel power modules and the activation status vector of the functional modules, are encapsulated into a module feature parameter data package.
[0059] The dual-parameter acquisition module is used to collect geological characteristic parameters including the uniaxial compressive strength, basic quality grade and weathering coefficient of the rock mass at the construction tower site, and topographic characteristic parameters including the slope of the construction tower site and the manual transportation distance.
[0060] The dual-parameter acquisition module includes a geological parameter acquisition submodule and a topographic parameter acquisition submodule. The geological parameter acquisition submodule communicates with the geotechnical investigation database via a data interface to read the investigation report of the drilling site. This report stores the physical and mechanical parameters of the rock mass at each borehole point in key-value pairs. The geological parameter acquisition submodule locates the corresponding record based on the drilling site coordinates, extracts the original value of the uniaxial compressive strength and the assessment result of the basic quality grade of the rock mass, and automatically determines the weathering coefficient according to the textual description of the weathering degree in the investigation report and preset mapping rules.
[0061] For example, if the description contains a "slightly weathered" field, the weathering coefficient is 1.0; if it contains a "mediumly weathered" field, the weathering coefficient is 1.4; and if it contains a "strongly weathered" field, the weathering coefficient is 1.8.
[0062] Finally, the three parameters—uniaxial compressive strength, basic rock mass quality grade, and weathering coefficient—along with the tower location number, are encapsulated as geological characteristic parameters and sent to the dual-channel correction module in real time via the internal bus.
[0063] The aforementioned geotechnical exploration database is a relational database deployed on an engineering data server. Its data table structure includes a basic information table for borehole locations and a table of borehole mechanical parameters. The basic information table uses the borehole number as the primary key, and its fields include the borehole's longitude, latitude, and a set of associated borehole numbers. The borehole mechanical parameters table uses the borehole number as the primary key, and its fields include uniaxial compressive strength, basic rock mass quality grade, and a descriptive text describing the degree of weathering. The two tables are linked by a foreign key through the borehole numbers, forming a one-to-many relationship; that is, one borehole location can correspond to multiple exploration boreholes. When responding to queries, the database by default returns the data of the borehole closest to the borehole's coordinates.
[0064] When the geological parameter acquisition submodule is working, it uses the construction tower location number as the query key and initiates a retrieval request to the database using structured query language. After the database traverses the index, it returns matching records. The geological parameter acquisition submodule receives the returned results and proceeds to the subsequent parameter extraction and verification process. This database establishes a correlation between the spatial coordinates of the tower location and the physical and mechanical parameters of the rock mass through the above structure, enabling the entire system to automatically obtain geological characteristic parameters based on the construction tower location.
[0065] The terrain parameter acquisition submodule accesses the digital elevation model database through a data interface. It can query the terrain data of the grid where the tower is located based on the construction tower number and directly read the slope value at the tower location. At the same time, it reads the transportation route planning data in the construction organization design, extracts the actual manual transport route length from the unloading point at the foot of the mountain to the tower location, and obtains and outputs the manual transport distance.
[0066] The aforementioned digital elevation model database includes a terrain raster table and a slope raster table. The terrain raster table uses the raster row and column numbers as a composite primary key, and the fields include the latitude and longitude of the raster center point and the average elevation value of that raster. The slope raster table has the same raster division as the terrain raster table, recording the slope value of each raster.
[0067] The terrain parameter acquisition submodule also has a threshold verification function: if the slope is greater than or equal to 20°, an over-limit alarm is issued and the slope value is forcibly set to 19.9° to ensure the stability of subsequent correction coefficient calculations. After verification, the terrain parameter acquisition submodule encapsulates the slope and manpower transport distance into terrain feature parameters and sends them to the dual-channel correction module via the internal bus.
[0068] The baseline cost calculation module can call the pre-stored basic database based on the module characteristic parameter data package to determine the baseline depreciation cost, baseline inspection cost, baseline maintenance cost, and baseline installation and dismantling cost corresponding to the baseline configuration. This makes it easy to fix the baseline cost as a reference configuration, so that the cost difference between different construction tasks is only reflected by the power module group number correction item and subsequent geological and topographic correction coefficients, avoiding repeated correction of each cost component item.
[0069] The basic database has a built-in quota parameter table with a key-value structure. The key value is a fixed identifier of the benchmark configuration, and the corresponding fields include the equipment budget price, residual value rate, total number of shifts, quota for one maintenance fee, and quota for one installation and dismantling fee under the benchmark configuration.
[0070] After determining the above-mentioned baseline costs, the baseline cost calculation module extracts the original parameters from the matching records one by one and calculates the baseline depreciation cost, baseline inspection cost, baseline maintenance cost, and baseline installation and dismantling cost respectively.
[0071] Base depreciation Depreciation is calculated using the straight-line method based on the equipment budget price and residual value rate.
[0072] Standard maintenance fee Calculated based on a fixed maintenance cost and the total number of durable machine shifts;
[0073] Standard maintenance fee Calculated based on the ratio of equipment budget price to maintenance cost;
[0074] Standard installation and dismantling fee The calculation is based on the fixed installation and dismantling cost and the total number of durable machine shifts, converted to a single machine shift. The calculation formula is as follows:
[0075]
[0076]
[0077]
[0078]
[0079] in, Budget price for the equipment; The preset residual value rate; Total number of durable units; This is a preset maintenance fee ratio coefficient; This is a fixed amount for installation and dismantling costs.
[0080] The dual-channel correction module is used to calculate the drilling speed correction coefficient and the fuel load rate correction coefficient based on geological feature parameters. It can also calculate the installation and dismantling frequency correction coefficient and the off-site transportation cost correction coefficient based on terrain feature parameters.
[0081] The dual-channel correction module includes a geological parameter correction submodule and a topographic parameter correction submodule. The geological parameter correction submodule first corrects the uniaxial compressive strength among the geological characteristic parameters. and weathering coefficient Calculate the drilling speed correction factor And based on the drilling speed correction coefficient Determine the fuel load factor correction factor fuel consumption per shift This facilitates the construction of a causal calculation process from the physical and mechanical parameters of the rock mass to drilling speed and then to fuel consumption rate, thereby solving the technical problem of failing to reflect the dynamic differences in fuel consumption caused by changes in geological conditions, and ensuring that the fuel cost calculation results match the actual rock mass conditions of the construction site. The calculation formula is as follows:
[0082]
[0083] in, The reference uniaxial compressive strength is, for example, 40 MPa; This is an empirical index reflecting the physical law that drilling speed decreases exponentially with increasing rock mass strength; that is, the harder the rock mass, the slower the drilling speed. This formula establishes a quantitative mapping relationship between the physical and mechanical parameters of the rock mass and the actual drilling speed of the equipment, enabling subsequent power module load rate corrections to reflect real rock mass conditions.
[0084]
[0085] in, The baseline load factor is the load rate of the power module at the rated drilling speed. When the rock strength increases, causing the drilling speed correction factor to decrease, the power module needs to continuously output rated power to maintain drilling, and the actual load factor increases accordingly. If This indicates that under these geological conditions, the power module is continuously operating at full load, and fuel consumption is calculated based on full load fuel consumption. This formula enables the physical mapping of changes in rock mass strength to the actual operating conditions of the power module.
[0086]
[0087] in, This refers to the working hours per shift. This refers to fuel consumption when the vehicle is not in use. Fuel consumption at full load; This is a correction factor for the frequency of installation and dismantling. The disturbance coefficient for fuel consumption during installation, dismantling, and relocation.
[0088] The terrain parameter correction submodule can calculate the installation and removal frequency correction coefficient based on terrain feature parameters. Off-site freight adjustment factor This reflects the objective law that an increase in slope leads to an increase in the work done by the component of gravity, and an increase in the distance traveled manually leads to a linear extension of the handling time. Both of these factors together result in a decrease in installation and dismantling efficiency and an increase in the proportion of installation and dismantling time spent on the process. The calculation formula is as follows:
[0089]
[0090] in, Slope; For manual transport distance. As the slope increases, the work done by the component of gravity along the slope during module handling increases, leading to a decrease in manual handling efficiency; as the manual transport distance increases, the time for a single handling operation increases linearly, and both factors together increase the proportion of module installation and dismantling time per tower location. The preset slope influence factor reflects the degree of influence of gravity component on installation and dismantling efficiency; The preset human transport distance influence factor reflects the degree of influence of transport distance on the frequency of installation and dismantling.
[0091]
[0092] in, For human transport distance; This is an additional factor for off-site freight costs; The normalized denominator for human transport distance.
[0093] The dynamic calculation module is connected to the baseline cost calculation module, the dual-channel correction module, and the terrain impact correction module, respectively. It can calculate and output the shift consumption of the modular anchor drilling rig based on the benchmark depreciation cost, benchmark inspection cost, benchmark maintenance cost, benchmark installation and dismantling cost, drilling speed correction factor, fuel load rate correction factor, installation and dismantling frequency correction factor, and off-site transportation cost correction factor. This metric represents the comprehensive resource consumption level of a modular anchor drilling rig under specific module configurations, rock mass conditions, and terrain conditions, providing data support for on-site fuel reserve configuration, equipment scheduling plans, and construction organization optimization. The calculation formula is as follows:
[0094]
[0095] in, This refers to the module value weighting coefficient. This refers to the number of power modules connected in parallel. This refers to the unit price of diesel fuel. The base off-site freight rate; For labor costs.
[0096] Please see Figure 2 A modular anchor drilling rig shift consumption correction method based on multi-source engineering data includes the following steps:
[0097] S1: Read the structured data file of the construction plan through the data interface, identify the number of parallel power modules and the activation status vector of the functional modules of the modular anchor drilling rig in the current construction task, generate module feature identifiers, and use the module feature identifiers as query keys to extract the corresponding equipment budget price, total output power and total module weight from the pre-stored module feature parameter lookup table to obtain the module feature parameter data package.
[0098] S2: Communicates with the geotechnical investigation database through the data interface, uses the construction tower location number as the query key, initiates a retrieval request to the geotechnical investigation database, obtains the rock mass physical and mechanical parameters of the borehole points associated with the tower location, including uniaxial compressive strength, basic rock mass quality grade, and weathering coefficient; at the same time, it accesses the digital elevation model database through the data interface, queries the topographic data of the grid where the tower location is located, reads the slope value at the tower location, and extracts the manpower transportation distance from the unloading point at the foot of the mountain to the tower location from the construction organization design data;
[0099] S3: Based on the module feature parameter data package, call the pre-stored basic database to determine the benchmark depreciation cost, benchmark repair cost, benchmark maintenance cost, and benchmark installation and dismantling cost corresponding to the benchmark configuration;
[0100] S4: Based on the uniaxial compressive strength and weathering coefficient, and the exponential decay law of rock mass strength and drilling speed, calculate the drilling speed correction coefficient; determine the fuel load rate correction coefficient based on the drilling speed correction coefficient, and calculate the shift fuel consumption based on the fuel load rate correction coefficient, no-load fuel consumption and full-load fuel consumption.
[0101] S5: Calculate the installation and dismantling frequency correction factor and off-site transportation cost correction factor based on the slope and manpower transportation distance;
[0102] S6: Based on the benchmark depreciation cost, benchmark inspection cost, benchmark maintenance cost, benchmark installation and dismantling cost, daily fuel consumption, installation and dismantling frequency correction factor, and off-site transportation cost correction factor, calculate and output the daily fuel consumption of the modular anchor drilling rig.
[0103] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A modular anchor drilling rig shift consumption correction system based on multi-source engineering data, characterized in that, It includes a module configuration identification module, a dual-parameter acquisition module, a baseline cost calculation module, a dual-channel correction module, and a dynamic calculation module; The module configuration identification module is used to identify the number of power modules in parallel and the activation status vector of the functional modules of the modular anchor drilling rig in the current construction task, and output the module characteristic parameter data packet; The dual-parameter acquisition module is used to collect geological characteristic parameters including the uniaxial compressive strength, basic quality grade and weathering coefficient of the rock mass at the construction tower site, and topographic characteristic parameters including the slope of the construction tower site and the manual transportation distance. The baseline cost calculation module can call the pre-stored basic database according to the module feature parameter data package to determine the baseline depreciation cost, baseline inspection cost, baseline maintenance cost and baseline installation and dismantling cost corresponding to the baseline configuration; The dual-channel correction module is used to calculate the drilling speed correction coefficient and the fuel load rate correction coefficient based on geological feature parameters. It can also calculate the installation and dismantling frequency correction coefficient and the off-site transportation cost correction coefficient based on terrain feature parameters. The dynamic calculation module can calculate and output the shift consumption of the modular anchor drilling rig based on the benchmark depreciation cost, benchmark inspection cost, benchmark maintenance cost, benchmark installation and dismantling cost, drilling speed correction coefficient, fuel full load rate correction coefficient, installation and dismantling frequency correction coefficient, and off-site transportation cost correction coefficient. This is used to represent the comprehensive resource consumption level of the modular anchor drilling rig under specific module configuration, specific rock mass conditions, and specific terrain conditions.
2. The modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to claim 1, characterized in that, The specific content of the module configuration identification module is as follows: 1) Read the structured data file of the construction plan through the data interface to determine the number of parallel power modules and the activation status vector of the functional modules under the current task; 2) Combine the number of parallel power modules with the activation state vector of the functional modules to generate a unique module feature identifier, and use the module feature identifier as the query key to call the module feature parameter lookup table pre-stored in the local database; 3) Based on the query results, obtain the module feature parameter data package, which includes data such as equipment budget price and total output power, as well as the number of parallel power modules and the activation status vector of the functional modules.
3. The modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to claim 1, characterized in that, The dual-parameter acquisition module includes a geological parameter acquisition submodule and a terrain parameter acquisition submodule; The geological parameter acquisition submodule communicates with the geotechnical investigation database through a data interface, reads the investigation report of the construction tower site, extracts the original value of uniaxial compressive strength and the evaluation result of the basic quality grade of the rock mass, and automatically determines the weathering coefficient according to the textual description of the weathering degree in the investigation report and the preset mapping rules. The terrain parameter acquisition submodule accesses the digital elevation model database through a data interface. It can query the terrain data of the grid where the construction tower is located based on the tower number and read the slope value at the tower location. At the same time, it reads the transportation route planning data in the construction organization design, extracts and outputs the manpower transportation distance.
4. The modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to claim 1, characterized in that, The dual-channel correction module includes a geological parameter correction submodule and a terrain parameter correction submodule; The quality parameter correction submodule can calculate the drilling speed correction coefficient based on the uniaxial compressive strength and weathering coefficient in the geological characteristic parameters, and determine the fuel load rate correction coefficient and the shift fuel consumption based on the drilling speed correction coefficient. The terrain parameter correction submodule can calculate the installation and dismantling frequency correction coefficient and the off-site transportation cost correction coefficient based on terrain feature parameters.
5. The modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to claim 4, characterized in that, The fuel load factor correction coefficient fuel consumption per shift The calculation formula is as follows: in, The baseline load factor; This is a correction factor for drilling speed; in, This refers to the working hours per shift. This refers to fuel consumption when the vehicle is not in use. Fuel consumption at full load; This is a correction factor for the frequency of installation and dismantling. The disturbance coefficient for fuel consumption during installation, dismantling, and relocation.
6. The modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to claim 4, characterized in that, The installation / dismantling frequency correction coefficient Off-site freight adjustment factor The calculation formula is as follows: in, Slope; For human transport distance; The preset slope influence factor reflects the degree of influence of gravity component on installation and dismantling efficiency; The preset human transport distance influencing factor reflects the degree of influence of transport distance on the frequency of installation and dismantling; in, For human transport distance; This is an additional factor for off-site freight costs; The normalized denominator for human transport distance.
7. The modular anchor drilling rig shift consumption correction system based on multi-source engineering data according to claim 1, characterized in that, The daily consumption The calculation formula is as follows: in, This refers to the module value weighting coefficient. This refers to the number of power modules connected in parallel. This refers to the unit price of diesel fuel. The base off-site freight rate; For labor costs; Depreciation expense based on base; The standard maintenance fee; Base maintenance fee; The installation and dismantling cost is based on the standard.
8. A modular anchor drilling rig shift consumption correction method based on multi-source engineering data, characterized in that, Includes the following steps: S1: Read the structured data file of the construction plan through the data interface, identify the number of parallel power modules and the activation status vector of the functional modules of the modular anchor drilling rig in the current construction task, generate module feature identifiers, and use the module feature identifiers as query keys to extract the corresponding equipment budget price, total output power and total module weight from the pre-stored module feature parameter lookup table to obtain the module feature parameter data package. S2: Communicates with the geotechnical investigation database through the data interface to obtain the rock mass physical and mechanical parameters of the borehole points associated with the tower location, including uniaxial compressive strength, basic rock mass quality grade and weathering coefficient; at the same time, obtains the slope value at the tower location and extracts the manpower transportation distance from the unloading point at the foot of the mountain to the tower location from the construction organization design data. S3: Based on the module feature parameter data package, call the pre-stored basic database to determine the benchmark depreciation cost, benchmark repair cost, benchmark maintenance cost, and benchmark installation and dismantling cost corresponding to the benchmark configuration; S4: Calculate the drilling speed correction coefficient based on the uniaxial compressive strength, weathering coefficient, and the exponential decay law of rock mass strength and drilling speed; determine the fuel load rate correction coefficient based on the drilling speed correction coefficient, and calculate the shift fuel consumption based on the fuel load rate correction coefficient, no-load fuel consumption, and full-load fuel consumption. S5: Calculate the installation and dismantling frequency correction factor and off-site transportation cost correction factor based on the slope and manpower transportation distance; S6: Based on the benchmark depreciation cost, benchmark inspection cost, benchmark maintenance cost, benchmark installation and dismantling cost, daily fuel consumption, installation and dismantling frequency correction factor, and off-site transportation cost correction factor, calculate and output the daily fuel consumption of the modular anchor drilling rig.