A method for determining the amount of coal mining based on hydraulic support

Abstract

This invention provides a method for determining coal mining volume based on hydraulic supports, belonging to the field of mining technology. Step 1: Obtain several key locations on the hydraulic supports and mining equipment, and install several preset type sensors at each key location to collect real-time status data of the hydraulic supports during operation. Step 2: Construct a coal mining volume prediction model. Step 3: Determine the planned coal mining volume based on the output of the coal mining volume prediction model and the status data of the hydraulic supports during operation. Step 4: Obtain the actual coal mining volume, and then determine the mining deviation by combining it with the planned coal mining volume, and analyze the mining deviation. Step 5: Generate a mining plan, and collect and analyze the status data of the hydraulic supports implementing the mining plan in real time, thereby optimizing the mining plan. This method improves the accuracy, efficiency, and flexibility of coal mining plan adjustments, and enhances production management.

Description

Technical Field

[0001] This invention relates to the field of mining technology, and in particular to a method for determining coal mining volume based on hydraulic supports. Background Technology

[0002] With the deepening of coal resource development and utilization, the level of automation in mine mining is gradually improving. Hydraulic supports, as crucial equipment in fully mechanized coal mining faces, directly affect the efficiency and safety of coal mining. However, current technologies still have certain limitations in predicting and managing coal production.

[0003] Current coal mining processes rely on the stable operation of hydraulic supports, combined with geological conditions and equipment operating parameters, to roughly estimate coal extraction volume. However, this method cannot effectively cope with dynamic changes under complex geological conditions, leading to difficulties in guaranteeing mining efficiency and accuracy. Existing solutions use pressure sensors and displacement sensors installed on hydraulic supports to acquire basic working status data, and then combine this with manual analysis methods to estimate coal extraction volume. However, this method relies on monitoring a single parameter, fails to comprehensively integrate multi-dimensional data, cannot accurately reflect the dynamic changes of hydraulic supports during operation, and fails to effectively integrate geological data into the coal extraction volume prediction model.

[0004] Therefore, the present invention provides a method for determining coal mining volume based on hydraulic supports. Summary of the Invention

[0005] This invention provides a method for determining coal mining volume based on hydraulic supports. By collecting real-time hydraulic support status data and coal mine geological data, a predictive model is constructed to accurately determine the planned mining volume. The method also analyzes and optimizes actual mining deviations, thereby improving the accuracy, efficiency, and flexibility of coal mining adjustments and enhancing production management.

[0006] This invention provides a method for determining coal mining volume based on hydraulic supports, comprising:

[0007] Step 1: Obtain several key locations on the hydraulic support and mining equipment, and install several preset type sensors at each key location to collect real-time status data of the hydraulic support during operation;

[0008] Step 2: Obtain coal mine geological data, and then combine it with the working status data of hydraulic supports to construct a coal mining volume prediction model;

[0009] Step 3: Determine the planned coal mining volume based on the output of the coal mining volume prediction model and the status data of the hydraulic support during operation;

[0010] Step 4: Obtain the actual coal mining volume, then combine it with the planned coal mining volume to determine the mining deviation, and analyze the mining deviation;

[0011] Step 5: Generate a mining plan based on the analysis results of mining deviations, and collect and analyze the status data of the hydraulic supports implementing the mining plan in real time, thereby optimizing the mining plan.

[0012] This invention provides a method for determining coal mining volume based on hydraulic supports. The method involves acquiring several key locations on the hydraulic supports and mining equipment, and installing several preset type sensors at each key location to collect real-time status data of the hydraulic supports during operation. The method includes:

[0013] A first structural analysis is performed on the hydraulic support to determine several key locations on the hydraulic support.

[0014] A second structural analysis is performed on the mining equipment to determine the second critical location on each piece of equipment.

[0015] The type of each first key location and second key location is determined based on a pre-defined key location database;

[0016] Based on a preset type-sensor type database, the preset sensor type corresponding to each key location is determined, and then the corresponding preset type sensor is installed at each first key location and second key location.

[0017] The system collects real-time status data of the hydraulic support during operation based on all preset types of sensors.

[0018] This invention provides a method for determining coal mining volume based on hydraulic supports.

[0019] The first key locations include: the support cylinder, the top beam of the bracket, the connection between the column and the base, and the telescopic cylinder;

[0020] The second key locations include: the conveyor belt system, the connection between the coal mining machine and the hydraulic support, and the top and sides of the tunnel.

[0021] This invention provides a method for determining coal mining volume based on hydraulic supports, which involves acquiring coal mine geological data and then combining it with the working status data of the hydraulic supports to construct a coal mining volume prediction model, including:

[0022] Obtain coal mine geological exploration data and conduct initial analysis to determine the first coal mine geological data;

[0023] Based on real-time monitoring of geological data using a pre-set geological monitoring device, the geological data of the second coal mine can be determined.

[0024] The geological data of the first coal mine and the geological data of the second coal mine are fused based on a preset data fusion method to obtain coal mine geological data;

[0025] The real-time data on the status of the hydraulic support during operation is matched with coal mine geological data, and the data is fused based on the matching results.

[0026] A coal mining volume prediction model was constructed based on the fused data.

[0027] This invention provides a method for determining coal mining volume based on hydraulic supports, which constructs a coal mining volume prediction model based on fused data, including:

[0028] The first feature is extracted from the fused data, and then several key features are determined.

[0029] The fused data is then subjected to a second feature extraction to determine several key indicators.

[0030] The historical data of coal mine production is obtained and analyzed to identify several historical production characteristics.

[0031] Key features, important indicators, and historical production characteristics are combined to generate composite features;

[0032] A coal mining volume prediction model is constructed based on composite features and a pre-defined prediction model.

[0033] This invention provides a method for determining coal mining volume based on hydraulic supports. The method determines the planned coal mining volume based on the output of a coal mining volume prediction model and the status data of the hydraulic supports during operation. The method includes:

[0034] The current theoretical mining volume is determined based on the output of the coal mining volume prediction model.

[0035] The planned coal mining volume is determined based on the status data of the hydraulic support during operation and the current theoretical mining volume.

[0036] This invention provides a method for determining coal mining volume based on hydraulic supports. The method determines the planned coal mining volume based on the hydraulic support's operational status data and the current theoretical mining volume, including:

[0037] The state data of the hydraulic support during operation are analyzed to determine several state coefficients, current pressure, and fault duration of the hydraulic support.

[0038] Determine the planned coal mining volume based on the current theoretical mining volume:

[0039]

[0040] in, For the planned mining volume, This is the current theoretical mining volume. Let be the i-th state coefficient of the hydraulic support. The total number of state coefficients for hydraulic supports. This represents the current pressure of the hydraulic support. The preset maximum pressure for the hydraulic support. The duration of hydraulic support failure. The preset working time for the hydraulic support. This is the preset efficiency coefficient of the hydraulic support.

[0041] This invention provides a method for determining coal mining volume based on hydraulic supports, which obtains the actual coal mining volume and then determines the mining deviation by combining it with the planned coal mining volume, including:

[0042] Determine mining deviations based on actual coal production and planned coal production:

[0043]

[0044] in, Due to mining deviation, For the planned mining volume, This represents the actual amount mined. This refers to the average working pressure of the hydraulic support during coal mining. The preset optimal working pressure for the hydraulic support. The duration of hydraulic support failure. The preset working time for the hydraulic support. Adjust the weights for pressure. Adjust the weights for time.

[0045] 9. This invention provides a method for determining coal mining volume based on hydraulic supports, and a mining plan including: mining volume plan, mining area distribution, equipment usage plan, mining efficiency and cost optimization targets, data acquisition and monitoring requirements, and mining progress monitoring and reporting.

[0046] Compared with the prior art, the beneficial effects of this application are as follows:

[0047] By collecting real-time data on the status of hydraulic supports and geological data from coal mines, a predictive model is constructed to accurately determine the planned mining volume. The actual mining deviations are analyzed and optimized, which improves the accuracy, efficiency, and flexibility of planning adjustments in coal mining and enhances the level of production management. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating a method for determining coal mining volume based on hydraulic supports, provided by an embodiment of the present invention. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0051] Example 1:

[0052] This invention provides a method for determining coal mining volume based on hydraulic supports, such as... Figure 1 As shown, it includes:

[0053] Step 1: Obtain several key locations on the hydraulic support and mining equipment, and install several preset type sensors at each key location to collect real-time status data of the hydraulic support during operation;

[0054] Step 2: Obtain coal mine geological data, and then combine it with the working status data of hydraulic supports to construct a coal mining volume prediction model;

[0055] Step 3: Determine the planned coal mining volume based on the output of the coal mining volume prediction model and the status data of the hydraulic support during operation;

[0056] Step 4: Obtain the actual coal mining volume, then combine it with the planned coal mining volume to determine the mining deviation, and analyze the mining deviation;

[0057] Step 5: Generate a mining plan based on the analysis results of mining deviations, and collect and analyze the status data of the hydraulic supports implementing the mining plan in real time, thereby optimizing the mining plan.

[0058] In this embodiment, the coal mining volume prediction model constructs a mathematical or computational model by analyzing the relationship between the working status data of hydraulic supports and coal mine geological data. This model is used to predict the amount of coal that may be mined within a certain period. It involves technologies such as regression analysis, machine learning algorithms, or deep learning, and can make predictions based on historical data and real-time monitoring data. Assuming a coal mine uses hydraulic supports to support the coal mining face, sensors are installed on each working face to monitor the pressure, angle, and other data of the supports in real time, while simultaneously acquiring relevant coal mine geological data (such as coal seam thickness and hardness). Based on this data, a regression model can be used to predict the daily or weekly coal mining volume. If the predicted mining volume reaches the predetermined target, the coal mining company can allocate resources according to actual needs.

[0059] In this embodiment, the planned coal mining volume is the expected mining volume determined based on the coal mine's production plan, geological conditions, and the output of a coal mining volume prediction model. The planned mining volume is the amount of coal to be mined by the enterprise to achieve its production goals; it is typically a target value used to guide production progress and resource allocation. For example, according to the coal mine's production plan, it is expected to mine 500,000 tons of coal within a future period (such as one month). During this period, the coal mine uses hydraulic support equipment for operations, and the daily or weekly mining volume target is derived using the mining volume prediction model. If the planned weekly mining volume is 125,000 tons, then the planned mining volume is 125,000 tons × 4 weeks = 500,000 tons.

[0060] In this embodiment, mining deviation refers to the difference between the actual mining volume and the planned mining volume. The deviation can be positive (actual mining volume exceeds the planned volume) or negative (actual mining volume is lower than the planned volume). The purpose of analyzing mining deviation is to identify problems in the production process, trace the causes, and take corrective measures. For example, suppose a coal mine plans to mine 500,000 tons of coal in a certain month, but the actual mining volume is 480,000 tons. This results in a negative deviation of 20,000 tons. By analyzing the deviation, it can be found that the slowdown in mining progress may be due to malfunctions in certain sensors of the hydraulic supports, or that the high hardness of the coal seam may reduce production efficiency. To address these causes, mine managers can adjust equipment status, strengthen equipment maintenance, or optimize the mining process.

[0061] In this embodiment, the mining plan is a detailed plan formulated based on the coal mine's target output, geological conditions, and production capacity, taking into account equipment status, personnel arrangements, and other relevant factors. It typically includes daily or weekly mining targets, specific operational procedures, personnel allocation, and equipment usage. For example, if a coal mining company decides to mine 1.5 million tons of coal over the next three months, the mining plan would allocate monthly mining tasks in detail (e.g., 500,000 tons per month), and further break these tasks down to weekly and daily levels. Daily tasks include the work plan for hydraulic supports, the location of the mining face, and the required personnel and equipment. To ensure timely completion of targets, contingency plans and optimization measures may also be incorporated into the mining plan to address unexpected equipment failures or geological anomalies.

[0062] The beneficial effects of the above technical solution are: by collecting real-time hydraulic support status data and coal mine geological data, constructing a prediction model, accurately determining the planned mining volume, and analyzing and optimizing the actual mining deviation, the accuracy, efficiency, and flexibility of coal mining plan adjustments are improved, thereby enhancing the level of production management.

[0063] Example 2:

[0064] This invention provides a method for determining coal mining volume based on hydraulic supports. The method involves acquiring several key locations on the hydraulic supports and mining equipment, and installing several preset type sensors at each key location to collect real-time status data of the hydraulic supports during operation. The method includes:

[0065] A first structural analysis is performed on the hydraulic support to determine several key locations on the hydraulic support.

[0066] A second structural analysis is performed on the mining equipment to determine the second critical location on each piece of equipment.

[0067] The type of each first key location and second key location is determined based on a pre-defined key location database;

[0068] Based on a preset type-sensor type database, the preset sensor type corresponding to each key location is determined, and then the corresponding preset type sensor is installed at each first key location and second key location.

[0069] The system collects real-time status data of the hydraulic support during operation based on all preset types of sensors.

[0070] In this embodiment, the first structural analysis refers to analyzing the structure of the hydraulic support. By studying its overall construction, mechanical properties, and operational characteristics, key locations reflecting the state of the hydraulic support are identified. These locations are typically areas of concentrated stress or important parts affecting the support's performance. For example, after the first structural analysis of the hydraulic support, key locations include the main hydraulic cylinder location, the top of the support column, the hinge point, and the base connection. These locations are easily affected by external pressure or mechanical stress, therefore, sensors (such as pressure sensors and displacement sensors) need to be installed to monitor their operating status to ensure the safety and efficiency of the support.

[0071] In this embodiment, the second structural analysis refers to analyzing mining equipment (such as conveyors and coal mining machines) to study their structure and operating characteristics, and to determine the key locations that play a crucial role in equipment performance during coal mining. Analyzing the operating status of these components can provide auxiliary data for calculating coal mining output. For example, after performing the second structural analysis on a coal mining machine, key locations are identified as the cutting area of ​​the drum cutter, the location of the transmission system, and the connection points of the support system. These locations affect the speed and efficiency of coal cutting; therefore, vibration sensors or speed sensors are installed at these locations to monitor the equipment's operating status and ensure mining efficiency.

[0072] In this embodiment, the location type is determined by classifying each key location according to a pre-set key location database and the results of structural analysis. The classification is typically related to the location's function, stress conditions, or monitoring requirements, thus determining the appropriate sensor type. For example, there are pressure monitoring locations, vibration monitoring locations, and displacement monitoring locations. For instance, the top of the main hydraulic cylinder of a hydraulic support is classified as a "pressure monitoring location," suitable for installing a pressure sensor to monitor the support's load-bearing pressure; hinge points are classified as "displacement monitoring locations," suitable for installing displacement sensors to monitor the support's movement amplitude and stability; and the cutting area of ​​the coal mining machine's drum cutter is classified as a "vibration monitoring location," suitable for installing a vibration sensor to assess the smoothness of coal cutting and cutter wear.

[0073] The beneficial effects of the above technical solution are: by applying the first and second structural analyses, and by reasonably classifying the types of locations, key locations and sensor types can be accurately determined, ensuring the efficient and safe operation of hydraulic supports and mining equipment in coal mining, and providing reliable real-time data support for subsequent coal mining volume calculations.

[0074] Example 3:

[0075] This invention provides a method for determining coal mining volume based on hydraulic supports. The first key position includes: a support cylinder, a support top beam, a connection between the column and the base, and a telescopic cylinder.

[0076] The second key locations include: the conveyor belt system, the connection between the coal mining machine and the hydraulic support, and the top and sides of the tunnel.

[0077] In this embodiment, the connection between the coal mining machine and the hydraulic support refers to the critical area where the coal mining machine and the hydraulic support interact during coal mining. At this location, the cutting action and movement of the coal mining machine have a mechanical impact on the hydraulic support, while the hydraulic support also needs to provide stable support to prevent collapse or displacement during coal mining. This connection is an important power transmission and support point in mine operations, and is crucial to the efficiency and safety of coal mining. For example, in scenario 1: when the coal mining machine is working, the vibration from cutting the coal is transmitted to the hydraulic support. If the sensor detects an abnormally large increase in the vibration amplitude at the connection, the system will warn that the support may be unstable, thereby preventing equipment damage or roof collapse.

[0078] The beneficial effects of the above technical solution are as follows: By determining the first and second critical positions of the hydraulic supports and mining equipment, and installing sensors at the corresponding positions to monitor status data in real time, the accuracy of data acquisition and the reliability of equipment operation during coal mining are comprehensively improved. Combined with the status data from these critical positions, equipment anomalies and geological changes can be detected promptly, improving the safety, efficiency, and planning accuracy of coal mining, and ensuring stable production operation.

[0079] Example 4:

[0080] This invention provides a method for determining coal mining volume based on hydraulic supports, which involves acquiring coal mine geological data and then combining it with the working status data of the hydraulic supports to construct a coal mining volume prediction model, including:

[0081] Obtain coal mine geological exploration data and conduct initial analysis to determine the first coal mine geological data;

[0082] Based on real-time monitoring of geological data using a pre-set geological monitoring device, the geological data of the second coal mine can be determined.

[0083] The geological data of the first coal mine and the geological data of the second coal mine are fused based on a preset data fusion method to obtain coal mine geological data;

[0084] The real-time data on the status of the hydraulic support during operation is matched with coal mine geological data, and the data is fused based on the matching results.

[0085] A coal mining volume prediction model was constructed based on the fused data.

[0086] In this embodiment, the first coal mine geological data refers to static geological data obtained through coal mine geological exploration. This data is typically obtained in the early stages of mine development through drilling, surveying, and other methods, and includes information such as coal seam thickness, dip angle, geological structures (faults, folds, etc.), and coal quality parameters (e.g., calorific value, sulfur content). This type of data is stable and forms the basis for coal mine planning and coal production forecasting. For example, in the early stages of coal mine development, geological exploration may determine that a coal seam in a certain area has a thickness of 3 meters, a dip angle of 10 degrees, a small fault within the seam, and a calorific value of 4500 kcal / kg. This data belongs to the first coal mine geological data. Static exploration data shows that the reserves of a certain mining area are 5 million tons, and this data can be used as initial parameter input into the mining plan model.

[0087] In this embodiment, the second coal mine geological data refers to dynamic geological data obtained in real time through preset geological monitoring devices (such as seismic wave monitors, stress sensors, etc.). This data reflects real-time changes in geological conditions during coal mining, such as changes in coal seam pressure, rock mass movement, and roof subsidence. This type of data is used to monitor geological risks during mining and dynamically adjust the coal mining volume prediction model. During mining, real-time monitoring shows that coal seam pressure gradually increases and roof subsidence reaches a rate of 5 mm / hour, indicating that there may be stress concentration areas in the mining area. This data belongs to the second coal mine geological data. When the sensor detects that the displacement of the roadway sidewall exceeds a set threshold, it indicates that there may be a risk of local geological instability in that area.

[0088] In this embodiment, the preset data fusion method refers to the method of comprehensively processing the first coal mine geological data (static data) and the second coal mine geological data (dynamic data) to generate more accurate coal mine geological data. Data fusion methods may include weighted average, Kalman filtering, Bayesian estimation, etc., depending on the data type and accuracy requirements. For example, based on coal seam thickness data, the first coal mine geological data shows a thickness of 3 meters, while the second coal mine geological data, due to real-time changes, shows a range of 2.8 meters to 3.2 meters. Through weighted average calculation, the final thickness is determined to be 3.0 meters.

[0089] The beneficial effects of the above technical solution are as follows: by integrating static geological data of the first coal mine with dynamic geological data of the second coal mine, and combining it with real-time working status data of hydraulic supports, a coal mining volume prediction model is constructed, which realizes accurate prediction of coal mining volume, effectively improves the comprehensiveness and real-time nature of the data, enhances the responsiveness to geological changes and mining safety, and provides a scientific basis for dynamically adjusting mining plans, significantly improving the efficiency and reliability of coal mine production.

[0090] Example 5:

[0091] This invention provides a method for determining coal mining volume based on hydraulic supports, which constructs a coal mining volume prediction model based on fused data, including:

[0092] The first feature is extracted from the fused data, and then several key features are determined.

[0093] The fused data is then subjected to a second feature extraction to determine several key indicators.

[0094] The historical data of coal mine production is obtained and analyzed to identify several historical production characteristics.

[0095] Key features, important indicators, and historical production characteristics are combined to generate composite features;

[0096] A coal mining volume prediction model is constructed based on composite features and a pre-defined prediction model.

[0097] In this embodiment, the key features are the core features that have the most significant impact on coal mining volume prediction, extracted from the fused coal mine geological data and hydraulic support status data. These features are usually closely related to mining efficiency, geological safety, and equipment operating status, and can directly reflect important trends or potential problems during the mining process. For example: coal seam thickness: a key feature extracted from geological data, directly affects the mining volume per unit time; hydraulic support pressure: changes in the bearing capacity of hydraulic supports can serve as an important feature of equipment operating status during mining; coal mining area hardness: the hardness characteristics of geological conditions have a direct impact on cutting speed and mining efficiency. Through these key features, the potential capacity and influencing factors of coal mining can be preliminarily assessed, providing an important reference for subsequent predictions.

[0098] In this embodiment, the composite feature is a comprehensive feature formed by combining multiple features (including key features, important indicators, and historical production features). By integrating multiple data dimensions, this feature can more comprehensively reflect the complex relationships in the coal mining process and provide more accurate input data for the prediction model. For example, key features + important indicators: combining coal seam thickness (key feature) with the maximum bearing pressure of hydraulic supports (important indicator) forms a composite feature used to evaluate the load capacity of the current mining equipment under specific geological conditions.

[0099] The beneficial effects of the above technical solution are as follows: by extracting multi-level features from the fused data, generating composite features by combining them with the historical features of coal mine production, and constructing a coal mining volume prediction model based on the composite features, accurate prediction of mining volume is achieved. The multi-dimensional information of the data is fully utilized, the comprehensiveness and accuracy of the prediction model are improved, the mining plan is effectively optimized, the efficiency and safety of coal mine production are improved, and the risk of resource waste is reduced.

[0100] Example 6:

[0101] This invention provides a method for determining coal mining volume based on hydraulic supports. The method determines the planned coal mining volume based on the output of a coal mining volume prediction model and the status data of the hydraulic supports during operation. The method includes:

[0102] The current theoretical mining volume is determined based on the output of the coal mining volume prediction model.

[0103] The planned coal mining volume is determined based on the status data of the hydraulic support during operation and the current theoretical mining volume.

[0104] In this embodiment, the theoretical mining volume refers to the amount of coal mined per unit time under ideal conditions, calculated based on a coal mining volume prediction model. This mining volume typically assumes that the coal mining equipment and hydraulic supports are operating normally, the geological conditions are uniform, and there are no interfering factors. It is an important reference value for the formulation of mining plans. The determination of the theoretical mining volume is based on various factors such as coal mine geological data (e.g., coal seam thickness, hardness, dip angle), working parameters of the coal mining equipment (e.g., coal mining machine cutting width, transportation capacity), and the load-bearing capacity of the hydraulic supports.

[0105] The beneficial effects of the above technical solution are as follows: By dynamically determining the planned coal mining volume based on the output of the coal mining volume prediction model and the working status data of the hydraulic supports, the accuracy and practicality of the mining plan are improved. Combining theoretical mining volume with real-time status data makes the mining plan more closely aligned with actual working conditions, effectively reducing mining deviations, improving production efficiency and safety, optimizing resource utilization, and ensuring the stable operation of coal mines.

[0106] Example 7:

[0107] This invention provides a method for determining coal mining volume based on hydraulic supports. The method determines the planned coal mining volume based on the hydraulic support's operational status data and the current theoretical mining volume, including:

[0108] The state data of the hydraulic support during operation are analyzed to determine several state coefficients, current pressure, and fault duration of the hydraulic support.

[0109] Determine the planned coal mining volume based on the current theoretical mining volume:

[0110]

[0111] in, For the planned mining volume, This is the current theoretical mining volume. Let be the i-th state coefficient of the hydraulic support. The total number of state coefficients for hydraulic supports. This represents the current pressure of the hydraulic support. The preset maximum pressure for the hydraulic support. The duration of hydraulic support failure. The preset working time for the hydraulic support. This is the preset efficiency coefficient of the hydraulic support.

[0112] In this embodiment, the preset maximum pressure is the upper limit of pressure specified during the design or operation of the hydraulic support, and it is a key parameter for the safe operation of the hydraulic support. Exceeding this pressure may cause damage or failure of the support structure, affecting the stability of the equipment and the safety of coal mining. The preset maximum pressure is usually set by the support manufacturer based on the support material, design specifications, and load-bearing capacity. For example, in a coal mine working face, the preset maximum pressure of the hydraulic support is 50 MPa. When the actual pressure of the hydraulic support is detected to reach 45 MPa, the system will issue a warning, indicating that it may be approaching the limit value, and it is necessary to adjust the load on the support or reduce the cutting area of ​​the coal mining machine. If the preset maximum pressure is 40 MPa, but changes in geological conditions cause the actual pressure to approach this value multiple times, it may be necessary to reassess the applicability of the support or take measures to reduce the load in different areas.

[0113] In this embodiment, the preset efficiency coefficient of the hydraulic support is a parameter set based on the working efficiency of the hydraulic support under ideal conditions. It reflects the ratio between the ideal load-bearing capacity and the actual load-bearing capacity of the support. This coefficient integrates the design performance, geological adaptability, and operating environment of the support, and is an important adjustment factor for determining the planned coal mining volume. For example, a preset efficiency coefficient of 0.9 for a hydraulic support indicates that under normal operating conditions, the actual load-bearing capacity of the hydraulic support is approximately 90% of its design load-bearing capacity. If the current working environment is harsh (such as high roof pressure), the efficiency may further decrease, requiring adjustment of the planned mining volume based on the efficiency coefficient. In a coal mining face, the efficiency coefficient of the hydraulic support may gradually decrease from an initial 0.95 to 0.8 over time, indicating a gradual decline in equipment performance. The planned mining volume needs to be reduced accordingly to ensure the safety of equipment and personnel.

[0114] The beneficial effects of the above technical solution are as follows: by analyzing the status data of the hydraulic support (including status coefficient, current pressure, and failure duration), and combining it with the theoretical mining volume to dynamically determine the planned mining volume, the accuracy of the mining plan is improved. The comprehensive calculation of status data and equipment parameters can effectively address equipment status fluctuations and operating condition changes, reduce mining deviations, improve production efficiency and safety, and simultaneously optimize resource allocation, ensuring the stability and efficiency of coal mine operations.

[0115] Example 8:

[0116] This invention provides a method for determining coal mining volume based on hydraulic supports, which obtains the actual coal mining volume and then determines the mining deviation by combining it with the planned coal mining volume, including:

[0117] Determine mining deviations based on actual coal production and planned coal production:

[0118]

[0119] in, Due to mining deviation, For the planned mining volume, This represents the actual amount mined. This refers to the average working pressure of the hydraulic support during coal mining. The preset optimal working pressure for the hydraulic support. The duration of hydraulic support failure. The preset working time for the hydraulic support. Adjust the weights for pressure. Adjust the weights for time.

[0120] In this embodiment, the preset optimal working pressure is the optimal pressure value set by the hydraulic support during design or actual operation to ensure safety, stability, and efficiency. This pressure range typically meets the needs of roof support while preventing performance degradation or malfunction due to excessively high or low pressure. The optimal working pressure is a key parameter for the stable operation of the hydraulic support and the efficiency of coal mining. For example, under normal working conditions, the preset optimal working pressure of the hydraulic support in a certain mining area is 30 MPa, and the actual monitored pressure is 28 MPa, which is close to the optimal pressure. This indicates that the equipment is operating well and the support effect is ideal, ensuring that the planned coal mining volume is close to the actual mining volume with a small mining deviation. Under special geological conditions, if the optimal working pressure of the hydraulic support is set to 35 MPa, but the actual pressure is only 25 MPa due to the softness of the local roof strata, the support effect may be insufficient, thereby reducing the actual mining volume and increasing the mining deviation. At this point, the pressure correction weight needs to be adjusted to compensate for this difference. Under excessively high pressure conditions: when the optimal working pressure is 32 MPa, but the actual monitored operating pressure of the support reaches 40 MPa, exceeding the optimal range, it may lead to equipment overload or even damage, while also accelerating support wear and affecting subsequent mining efficiency. In this case, mining needs to be suspended, and the equipment and plan readjusted.

[0121] The beneficial effects of the above technical solution are: by combining the actual mining volume with the planned mining volume, and using data such as the average working pressure, optimal working pressure and failure duration of the hydraulic support to dynamically calculate the mining deviation, the deviation caused by equipment status or environmental fluctuations can be effectively corrected, thereby improving the accuracy of the mining plan, ensuring the efficiency and safety of coal mining, and optimizing resource utilization and production costs.

[0122] Example 9:

[0123] This invention provides a method for determining coal mining volume based on hydraulic supports, and a mining plan including: mining volume plan, mining area distribution, equipment usage plan, mining efficiency and cost optimization targets, data acquisition and monitoring requirements, and mining progress monitoring and reporting.

[0124] In this embodiment, the mining area distribution refers to dividing the mining area into different mining areas based on factors such as the geological conditions, resource reserves, coal seam thickness, and roof stability of the coal mine, and determining the specific mining sequence and scope of each area. A reasonable mining area distribution can optimize resource utilization, avoid mining overlap or omissions, improve coal mining efficiency, and at the same time ensure the stability and safety of the mining area.

[0125] The beneficial effects of the above technical solution are as follows: by formulating mining volume plans, rationally dividing mining areas, optimizing equipment usage plans and mining efficiency, and combining cost optimization objectives with data monitoring requirements, refined management of the entire mining process is achieved. This method improves resource utilization and production efficiency, reduces mining costs, ensures safety, and ensures the controllability and executability of the mining plan through progress monitoring and reporting.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining coal mining volume based on hydraulic supports, characterized in that, include: Step 1: Perform a first structural analysis on the hydraulic support to determine several key positions on the hydraulic support; A second structural analysis is performed on the mining equipment to determine the second critical location on each piece of equipment. The type of each first key location and second key location is determined based on a pre-defined key location database; Based on a preset type-sensor type database, the preset sensor type corresponding to each key location is determined, and then the corresponding preset type sensor is installed at each first key location and second key location. The hydraulic support's status data during operation is collected in real time based on all preset types of sensors. Step 2: Obtain coal mine geological exploration data and conduct the first analysis to determine the first coal mine geological data; Based on real-time monitoring of geological data using a pre-set geological monitoring device, the geological data of the second coal mine can be determined. The geological data of the first coal mine and the geological data of the second coal mine are fused based on a preset data fusion method to obtain coal mine geological data; The real-time data on the status of the hydraulic support during operation is matched with coal mine geological data, and the data is fused based on the matching results. A coal mining volume prediction model was constructed based on the fused data; Step 3: Determine the planned coal mining volume based on the output of the coal mining volume prediction model and the status data of the hydraulic support during operation; Step 4: Obtain the actual coal mining volume, then combine it with the planned coal mining volume to determine the mining deviation, and analyze the mining deviation; Step 5: Generate a mining plan based on the analysis results of mining deviations, and collect and analyze the status data of the hydraulic supports implementing the mining plan in real time, thereby optimizing the mining plan.

2. The method for determining coal mining volume based on hydraulic supports according to claim 1, characterized in that, The first key locations include: the support cylinder, the top beam of the bracket, the connection between the column and the base, and the telescopic cylinder; The second key locations include: the conveyor belt system, the connection between the coal mining machine and the hydraulic support, and the top and sides of the tunnel.

3. The method for determining coal mining volume based on hydraulic supports according to claim 1, characterized in that, A coal mining volume prediction model is constructed based on the fused data, including: The first feature is extracted from the fused data, and then several key features are determined. The fused data is then subjected to a second feature extraction to determine several key indicators. The historical data of coal mine production is obtained and analyzed to identify several historical production characteristics. Key features, important indicators, and historical production characteristics are combined to generate composite features; A coal mining volume prediction model is constructed based on composite features and a pre-defined prediction model.

4. The method for determining coal mining volume based on hydraulic supports according to claim 1, characterized in that, The planned coal mining volume is determined based on the output of the coal mining volume prediction model and the status data of the hydraulic supports during operation, including: The current theoretical mining volume is determined based on the output of the coal mining volume prediction model. The planned coal mining volume is determined based on the status data of the hydraulic support during operation and the current theoretical mining volume.

5. The method for determining coal mining volume based on hydraulic supports according to claim 4, characterized in that, The planned coal mining volume is determined based on the status data of the hydraulic support during operation and the current theoretical mining volume, including: The state data of the hydraulic support during operation are analyzed to determine several state coefficients, current pressure, and fault duration of the hydraulic support. Determine the planned coal mining volume based on the current theoretical mining volume: in, For the planned mining volume, This is the current theoretical extraction volume. Let be the i-th state coefficient of the hydraulic support. The total number of state coefficients for hydraulic supports. This represents the current pressure of the hydraulic support. The preset maximum pressure for the hydraulic support. The duration of hydraulic support failure. The preset working time for the hydraulic support. This is the preset efficiency coefficient of the hydraulic support.

6. The method for determining coal mining volume based on hydraulic supports according to claim 1, characterized in that, Obtain the actual coal mining volume, and then determine the mining deviation by combining it with the planned coal mining volume, including: Determine mining deviations based on actual coal production and planned coal production: in, Due to mining deviation, For the planned mining volume, This represents the actual amount mined. This refers to the average working pressure of the hydraulic support during coal mining. The preset optimal working pressure for the hydraulic support. The duration of hydraulic support failure. The preset working time for the hydraulic support. Adjust the weights for pressure. Adjust the weights for time.

7. The method for determining coal mining volume based on hydraulic supports according to claim 1, characterized in that, The mining plan includes: mining volume plan, mining area distribution, equipment usage plan, mining efficiency and cost optimization targets, data collection and monitoring requirements, and mining progress monitoring and reporting.

Images