Coal mining quantity determination method based on hydraulic support

Abstract

The invention provides a coal mining quantity determination method based on a hydraulic support, and belongs to the technical field of mine mining, the method comprises the following steps: 1, obtaining a plurality of key positions on the hydraulic support and mine equipment, installing a plurality of sensors of preset types at each key position, and collecting state data of the hydraulic support in a working process in real time; 2, constructing a coal mining quantity prediction model; 3, determining the planned mining quantity of the coal based on the output result of the coal mining quantity prediction model and the state data of the hydraulic support in the working process; 4, the actual mining amount of the coal is obtained, then the mining deviation is determined in combination with the planned mining amount of the coal, and the mining deviation is analyzed; and 5, generating a mining plan, and collecting state data of the hydraulic support implementing the mining plan in real time for analysis so as to optimize the mining plan. The accuracy and efficiency of coal mining and the flexibility of plan adjustment are improved, and the production management level is improved.

Description

Technical Field

[0001] The invention relates to the technical field of mine mining, and in particular to a method for determining coal mining volume based on a hydraulic support. Background Art

[0002] With the continuous deepening of coal resource development and utilization, the automation level of mine mining has gradually improved. As an important equipment in the fully mechanized mining face of coal mines, the operating status of hydraulic supports is directly related to the efficiency and safety of coal mining. However, in the existing technology, the prediction and management of coal mining volume still have certain limitations: The existing coal mining process relies on the stable operation of hydraulic supports, and a rough estimate of coal mining volume is made based on geological conditions, equipment operating parameters, etc. However, this method cannot effectively cope with dynamic changes under complex geological conditions, resulting in difficulty in ensuring mining efficiency and accuracy. The existing solution is to obtain basic working status data of hydraulic supports through pressure sensors, displacement sensors and other equipment installed on the hydraulic supports, and estimate coal mining volume based on manual analysis methods. However, this method relies on the monitoring of a single parameter, fails to fully integrate multi-dimensional data, cannot accurately reflect the dynamic changes of hydraulic supports during operation, and fails to effectively integrate geological data into the prediction model of coal mining volume. Therefore, the present invention provides a method for determining coal mining volume based on hydraulic supports. Summary of the invention

[0003] The present invention provides a method for determining coal mining volume based on hydraulic supports, which is used to construct a prediction model by real-time collection of hydraulic support status data and coal mine geological data, accurately determine the planned mining volume, and analyze and optimize the actual mining deviation, thereby improving the accuracy and efficiency of coal mining and the flexibility of plan adjustment, and enhancing the level of production management.

[0004] The present invention provides a method for determining coal mining volume based on a hydraulic support, comprising: Step 1: Obtain several key positions on the hydraulic support and the mine equipment, and install several preset types of sensors at each key position to collect the status data of the hydraulic support in real time during the working process; Step 2: Obtain coal mine geological data, and then build a coal mining volume prediction model in combination with the working status data of the hydraulic support; Step 3: Determine the planned coal mining volume based on the output results of the coal mining volume prediction model and the state data of the hydraulic support during the working process; Step 4: Obtain the actual mining volume of coal, and then determine the mining deviation in combination with the planned mining volume of coal, and analyze the mining deviation; Step 5: Generate a mining plan based on the analysis results of the mining deviation, and collect the status data of the hydraulic support implementing the mining plan in real time for analysis, so as to optimize the mining plan.

[0005] The present invention provides a method for determining coal mining volume based on a hydraulic support, which obtains several key positions on the hydraulic support and mine equipment, and installs several preset types of sensors at each key position to collect state data of the hydraulic support in the working process in real time, including: Performing a first structural analysis on the hydraulic support, thereby determining a number of first key positions on the hydraulic support; Conduct a second structural analysis on the mine equipment, and then determine the second critical position on each mine equipment; Determine the type of each first key position and the second key position based on a preset key position database; Determine a preset sensor type corresponding to each type of key position based on a preset type-sensor type database, and then install a sensor of the corresponding preset type at each first key position and second key position; Based on all preset types of sensors, the status data of the hydraulic support during the working process is collected in real time.

[0006] The present invention provides a method for determining coal mining volume based on a hydraulic support. The first key position includes: the supporting cylinder, the bracket top beam, the connection between the column and the base, and the telescopic cylinder; The second key position includes: the conveyor belt system, the connection between the coal mining machine and the hydraulic support, and the top and both sides of the excavation tunnel.

[0007] The present invention provides a method for determining coal mining volume based on a hydraulic support, which obtains coal mine geological data and then builds a coal mining volume prediction model in combination with the working status data of the hydraulic support, including: Acquire coal mine geological exploration data and perform a first analysis to determine first coal mine geological data; Based on the preset geological monitoring device, the geological data is monitored in real time, and then the geological data of the second coal mine is determined; The first coal mine geological data and the second coal mine geological data are fused based on a preset data fusion method, thereby obtaining the coal mine geological data; Match the real-time collected status data of hydraulic supports during operation with the coal mine geological data, and perform data fusion based on the matching results; A coal mining volume prediction model is constructed based on the fused data.

[0008] The present invention provides a method for determining coal mining volume based on a hydraulic support, and constructs a coal mining volume prediction model based on fused data, including: Perform the first feature extraction on the fused data, and then determine several key features; Perform second feature extraction on the fused data to determine several important indicators; Obtain and analyze historical data of coal mine production to obtain several historical production characteristics; Combine key features, important indicators and historical production features to generate composite features; A coal mining volume prediction model is constructed based on composite features and preset types of prediction models.

[0009] The present invention provides a method for determining coal mining volume based on a hydraulic support, which determines the planned coal mining volume based on the output result of a coal mining volume prediction model and the state data of the hydraulic support during operation, including: Determine the current theoretical mining volume based on the output results 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.

[0010] The present invention provides a method for determining coal mining volume based on a hydraulic support, which determines the planned mining volume of coal based on the state data of the hydraulic support during operation and the current theoretical mining volume, and comprises: Analyze the status data of the hydraulic support during operation, and then determine several status coefficients, current pressure and fault duration of the hydraulic support; Determine the planned coal mining volume based on the current theoretical mining volume:

[0011] in, For the planned mining volume, is the current theoretical mining volume, is the i-th state coefficient of the hydraulic support, is the total number of state coefficients of the hydraulic support, is the current pressure of the hydraulic support, The preset maximum pressure of the hydraulic support. The failure time of hydraulic support, The preset working time of the hydraulic support. It is the efficiency coefficient of the preset hydraulic support.

[0012] The present invention provides a method for determining coal mining volume based on a hydraulic support, which obtains the actual mining volume of coal, and then determines the mining deviation in combination with the planned mining volume of coal, including: Determine the mining deviation based on the actual mining volume of coal and the planned mining volume of coal:

[0013] in, For mining deviation, For the planned mining volume, is the actual mining volume, is the average working pressure of the hydraulic support during coal mining, The preset optimal working pressure for the hydraulic support. The failure time of hydraulic support, The preset working time of the hydraulic support. is the pressure correction weight, Correction weight for time.

[0014] 9. The present invention provides a method for determining coal mining volume based on hydraulic supports, a mining plan, including: mining volume plan, mining area distribution, equipment use plan, mining efficiency and cost optimization goals, data collection and monitoring requirements, and mining progress monitoring and reporting.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By collecting hydraulic support status data and coal mine geological data in real time, building a prediction model, accurately determining the planned mining volume, and analyzing and optimizing actual mining deviations, the accuracy and efficiency of coal mining and the flexibility of plan adjustments are improved, thereby enhancing the level of production management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a method for determining coal mining volume based on a hydraulic support provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Embodiment 1: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, such as Figure 1 As shown, including: Step 1: Obtain several key positions on the hydraulic support and the mine equipment, and install several preset types of sensors at each key position to collect the status data of the hydraulic support in real time during the working process; Step 2: Obtain coal mine geological data, and then build a coal mining volume prediction model in combination with the working status data of the hydraulic support; Step 3: Determine the planned coal mining volume based on the output results of the coal mining volume prediction model and the state data of the hydraulic support during the working process; Step 4: Obtain the actual mining volume of coal, and then determine the mining deviation in combination with the planned mining volume of coal, and analyze the mining deviation; Step 5: Generate a mining plan based on the analysis results of the mining deviation, and collect the status data of the hydraulic support implementing the mining plan in real time for analysis, so as to optimize the mining plan.

[0020] In this embodiment, the coal mining volume prediction model is to construct a mathematical or computational model by analyzing the relationship between the working status data of the hydraulic support and the coal mine geological data, which is used to predict the amount of coal that may be mined within a certain period of time. It involves regression analysis, machine learning algorithms or deep learning and other technologies, and can make predictions based on historical data and real-time monitoring data. Suppose 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 support in real time, and relevant data of coal mine geology (such as coal seam thickness, hardness, etc.) are obtained at the same time. Based on these 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 enterprise can allocate resources according to actual needs.

[0021] In this embodiment, the planned coal mining volume is the expected mining volume determined based on the production plan, geological conditions and output results of the coal mining volume prediction model of the coal mine. The planned mining volume is the amount of coal mining scheduled by the enterprise to achieve the production target. It is usually a target value used to guide the production schedule and resource scheduling. For example, according to the production plan of the coal mine, it is expected to mine 500,000 tons of coal in the future (such as one month). During this time period, the coal mine uses hydraulic support equipment to operate and derives daily or weekly mining volume targets in combination with the mining volume prediction model. If 125,000 tons of coal are planned to be mined per week, then the planned mining volume is 125,000 tons × 4 weeks = 500,000 tons.

[0022] In this embodiment, mining deviation refers to the difference between the actual mining volume and the planned mining volume. The deviation can be positive (the actual mining volume exceeds the planned volume) or negative (the actual mining volume is lower than the planned volume). The purpose of analyzing mining deviation is to identify problems in the production process and trace the causes so as to take improvement measures. 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 mining progress may be slowed down due to the failure of some sensors of the hydraulic support, or the hardness of the coal seam is high, resulting in reduced production efficiency. In response to these reasons, coal mine managers can adjust the equipment status, strengthen equipment maintenance or optimize the mining process.

[0023] In this embodiment, the mining plan is a detailed mining plan formulated based on the target output, geological conditions and production capacity of the coal mine, taking into account the equipment status, personnel arrangements and other relevant factors. It usually includes daily or weekly mining targets, specific operating procedures, personnel allocation and equipment use. Assuming that the coal mining company decides to mine 1.5 million tons of coal in the next three months, when formulating the mining plan, it will allocate the mining tasks for each month in detail (such as 500,000 tons per month), and further split these tasks into weekly and daily tasks. Daily tasks include the work plan of the hydraulic support, the location of the mining operation surface, the required personnel and equipment, etc. In order to ensure that the goals are completed on time, emergency plans and optimization measures may also be added to the mining plan to deal with sudden equipment failures or geological anomalies.

[0024] The beneficial effects of the above technical solution are: by real-time collection of hydraulic support status data and coal mine geological data, a prediction model is constructed, the planned mining volume is accurately determined, and the actual mining deviation is analyzed and optimized, thereby improving the accuracy and efficiency of coal mining and the flexibility of plan adjustment, and improving the level of production management.

[0025] Embodiment 2: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, which obtains several key positions on the hydraulic support and mine equipment, and installs several preset types of sensors at each key position to collect state data of the hydraulic support in real time during the working process, including: Performing a first structural analysis on the hydraulic support, thereby determining a number of first key positions on the hydraulic support; Conduct a second structural analysis on the mine equipment, and then determine the second critical position on each mine equipment; Determine the type of each first key position and the second key position based on a preset key position database; Determine a preset sensor type corresponding to each type of key position based on a preset type-sensor type database, and then install a sensor of the corresponding preset type at each first key position and second key position; Based on all preset types of sensors, the status data of the hydraulic support during the working process is collected in real time.

[0026] In this embodiment, the first structural analysis refers to analyzing the structure of the hydraulic support, and determining the key positions that can reflect the state of the hydraulic support by studying its overall structure, mechanical properties and operating characteristics. These positions are usually areas where the force is concentrated or important parts that affect the working performance of the support. For example, after the first structural analysis of the hydraulic support, the key positions are determined to include the main hydraulic cylinder position of the support, the top of the support column, the hinge point and the base connection position. These positions are easily affected by external pressure or mechanical stress, so sensors (such as pressure sensors, displacement sensors) need to be installed to monitor their working status to ensure the safety and working efficiency of the support.

[0027] In this embodiment, the second structural analysis refers to analyzing the mine equipment (such as conveyors, coal mining machines, etc.), studying their structure and operating characteristics, and determining the positions that play a key role in the performance of the equipment during the coal mining process. By analyzing the operating conditions of these components, auxiliary data can be provided for the calculation of the amount of coal mined. For example, after the second structural analysis of the coal mining machine, the key positions are determined to be the cutting position of the drum cutter, the position of the transmission system, and the connection point of the support system. These positions affect the speed and efficiency of coal cutting, so vibration sensors or speed sensors are installed at these positions to monitor the working status of the equipment and ensure mining efficiency.

[0028] In this embodiment, the type of position is classified for each key position based on a preset key position database combined with the structural analysis results. The classification of types is usually related to the function, stress condition or monitoring requirements of the position, thereby determining the appropriate sensor type. For example, pressure monitoring position, vibration monitoring position, displacement monitoring position, etc. For example: the top of the main hydraulic cylinder of the hydraulic support is classified as a "pressure monitoring position", which is suitable for installing a pressure sensor to monitor the bearing pressure of the support; the hinge point is classified as a "displacement monitoring position", which is suitable for installing a displacement sensor to monitor the movement amplitude and stability of the support; the cutting part of the drum cutter of the coal mining machine is classified as a "vibration monitoring position", which is suitable for installing a vibration sensor to evaluate the smoothness of coal cutting and tool wear.

[0029] The beneficial effect of the above technical solution is that through the application of the first structural analysis and the second structural analysis, as well as the reasonable classification of the types of positions, the key positions and sensor types can be accurately determined to ensure the efficient and safe operation of hydraulic supports and mining equipment in coal mining, and provide reliable real-time data support for subsequent coal mining volume calculations.

[0030] Embodiment 3: The embodiment of the present invention provides a method for determining the amount of coal mined based on a hydraulic support, wherein the first key position includes: a supporting cylinder, a support top beam, a connection between a column and a base, and a telescopic cylinder; The second key position includes: the conveyor belt system, the connection between the coal mining machine and the hydraulic support, and the top and both sides of the excavation tunnel.

[0031] In this embodiment, the connection between the coal mining machine and the hydraulic support refers to the key area where the coal mining machine and the hydraulic support interact during the coal mining process. At this position, the cutting action and movement state of the coal mining machine will have a mechanical impact on the hydraulic support. At the same time, the hydraulic support also needs to provide stable support to prevent collapse or displacement during the coal mining process. 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: Scenario 1: When the coal mining machine is working, the vibration of its cutting coal will be transmitted to the hydraulic support. The sensor detects that the vibration amplitude at the connection is abnormally increased, and the system will warn that the support may be unstable, thereby avoiding equipment damage or roof collapse.

[0032] The beneficial effect of the above technical solution is that by determining the first key position and the second key position of the hydraulic support and the mine equipment, and installing sensors at the corresponding positions to monitor the status data in real time, the data collection accuracy and equipment operation reliability in the coal mining process are comprehensively improved. Combined with the status data of the key positions, equipment anomalies and geological changes can be discovered in time, the safety, efficiency and planning accuracy of coal mining can be improved, and stable production operation can be guaranteed.

[0033] Embodiment 4: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, which obtains coal mine geological data and then builds a coal mining volume prediction model in combination with the working status data of the hydraulic support, including: Acquire coal mine geological exploration data and perform a first analysis to determine first coal mine geological data; Based on the preset geological monitoring device, the geological data is monitored in real time, and then the geological data of the second coal mine is determined; The first coal mine geological data and the second coal mine geological data are fused based on a preset data fusion method, thereby obtaining the coal mine geological data; Match the real-time collected status data of hydraulic supports during operation with the coal mine geological data, and perform data fusion based on the matching results; A coal mining volume prediction model is constructed based on the fused data.

[0034] In this embodiment, the first coal mine geological data refers to the static geological data obtained through coal mine geological exploration. These data are usually obtained through drilling, surveying and mapping in the early stage of mine development, including information such as coal seam thickness, inclination, geological structure (faults, folds, etc.), and coal quality parameters (such as calorific value, sulfur content). This type of data is stable and is the basis for coal mine planning and coal mining volume prediction. For example: in the early stage of coal mine development, geological exploration determined that the coal seam thickness in a certain area is 3 meters, the inclination is 10 degrees, there is a small fault in the coal seam, and the calorific value of the coal is 4500 kcal / kg. These data belong to the geological data of the first coal mine. The static exploration data shows that the reserves of a certain mining area are 5 million tons. This data can be used as the initial parameter input model for the mining plan; In this embodiment, the second coal mine geological data refers to dynamic geological data obtained by real-time monitoring through preset geological monitoring devices (such as seismic wave monitors, stress sensors, etc.). These data can reflect the real-time changes in geological conditions during the mining process of the coal mine, such as changes in coal seam pressure, rock mass movement, roof settlement, etc. This type of data is used to monitor geological risks during the mining process and dynamically adjust the coal mining volume prediction model. During the mining process, real-time monitoring shows that the coal seam pressure gradually increases and the roof settlement rate reaches 5 mm / hour, indicating that there may be stress concentration areas in the mining area. These data belong to the second coal mine geological data. The sensor monitors that the displacement of the side wall of the tunnel exceeds the set threshold, indicating that there may be a risk of local geological instability in the area.

[0035] In this embodiment, the preset data fusion method refers to a 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. The data fusion method may include weighted average method, Kalman filter method, Bayesian estimation method, etc. The specific method depends on the data type and accuracy requirements. For example, based on the data of coal seam thickness, the first coal mine geological data is displayed as 3 meters, while the second coal mine geological data is displayed in the range of 2.8 meters to 3.2 meters due to real-time changes. The final thickness is calculated by weighted average to be 3.0 meters.

[0036] The beneficial effects of the above technical solution are: by integrating the static geological data of the first coal mine and the dynamic geological data of the second coal mine, and combining the real-time working status data of the hydraulic support, a coal mining volume prediction model is constructed, which realizes the accurate prediction of coal mining volume, effectively improves the comprehensiveness and real-time nature of the data, enhances the response capability to geological changes and mining safety, and at the same time provides a scientific basis for the dynamic adjustment of the mining plan, significantly improving the efficiency and reliability of coal mine production.

[0037] Embodiment 5: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, and constructs a coal mining volume prediction model based on fused data, including: Perform the first feature extraction on the fused data, and then determine several key features; Perform second feature extraction on the fused data to determine several important indicators; Obtain and analyze historical data of coal mine production to obtain several historical production characteristics; Combine key features, important indicators and historical production features to generate composite features; A coal mining volume prediction model is constructed based on composite features and preset types of prediction models.

[0038] In this embodiment, the key features are the core features that have the most significant impact on the prediction of coal mining volume extracted from the fused coal mine geological data and hydraulic support status data. These features are usually closely related to mining efficiency, geological safety, equipment operating status, etc., and can directly reflect important changing trends or potential problems in the mining process. For example: Coal seam thickness: a key feature extracted from geological data, which directly affects the mining volume per unit time, hydraulic support pressure: the change in the bearing capacity of the hydraulic support can be used as an important feature of the equipment operating status during the mining process, and the hardness of the coal mining area: the hardness characteristics of geological conditions have a direct impact on the cutting speed and mining efficiency. Through these key features, the potential capacity and influencing factors of coal mining can be preliminarily evaluated, providing an important reference for subsequent predictions.

[0039] In this embodiment, the composite feature is a comprehensive feature formed by combining multiple features (including key features, important indicators and historical production features). This feature can more comprehensively reflect the complex relationships in the coal mining process by integrating multiple data dimensions, and provide more accurate input data for the prediction model. For example: Key features + important indicators: The coal seam thickness (key feature) is combined with the maximum bearing pressure of the hydraulic support (important indicator) to form a composite feature for evaluating the load capacity of the current mining equipment under specific geological conditions.

[0040] The beneficial effects of the above technical solution are: by performing multi-level feature extraction on the fused data, generating composite features based on the historical characteristics of coal mine production, and constructing a coal mining volume prediction model based on the composite features, accurate prediction of mining volume is achieved, and the multi-dimensional information of the data is fully utilized to improve the comprehensiveness and accuracy of the prediction model, effectively optimize the mining plan, improve the production efficiency and safety of coal mines, and reduce the risk of resource waste.

[0041] Embodiment 6: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, which determines the planned coal mining volume based on the output result of the coal mining volume prediction model and the state data of the hydraulic support during the working process, including: Determine the current theoretical mining volume based on the output results 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.

[0042] In this embodiment, the theoretical mining volume refers to the mining volume per unit time of the coal mine calculated according to the coal mining volume prediction model under ideal conditions. The mining volume usually assumes that the coal mining equipment and hydraulic supports operate normally, the geological conditions are uniform and there are no interference factors. It is an important reference value for the formulation of mining plans. The determination of the theoretical mining volume is based on multiple factors such as coal mine geological data (such as coal seam thickness, hardness, inclination, etc.), working parameters of coal mining equipment (such as coal mining machine cutting width, transportation capacity) and the bearing capacity of hydraulic supports.

[0043] The beneficial effects of the above technical solution are: by dynamically determining the planned coal mining volume based on the output results of the coal mining volume prediction model and the working status data of the hydraulic support, the accuracy and practicality of the mining plan are improved. Combining the theoretical mining volume with the real-time status data, the mining plan is more in line with the actual working conditions, which can effectively reduce mining deviations, improve production efficiency and safety, and optimize resource utilization to ensure the stable operation of coal mining.

[0044] Embodiment 7: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, which determines the planned coal mining volume based on the state data of the hydraulic support during operation and the current theoretical mining volume, including: Analyze the status data of the hydraulic support during operation, and then determine several status coefficients, current pressure and fault duration of the hydraulic support; Determine the planned coal mining volume based on the current theoretical mining volume:

[0045] in, For the planned mining volume, is the current theoretical mining volume, is the i-th state coefficient of the hydraulic support, is the total number of state coefficients of the hydraulic support, is the current pressure of the hydraulic support, The preset maximum pressure of the hydraulic support. The failure time of hydraulic support, The preset working time of the hydraulic support. It is the efficiency coefficient of the preset hydraulic support.

[0046] In this embodiment, the preset maximum pressure is the upper limit of the pressure specified during the design or operation of the hydraulic support, and 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 material, design specifications and load-bearing capacity of the support. 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 monitored to reach 45 MPa, the system will issue a warning to remind that it may be close to the limit value and it is necessary to adjust the load of the support or reduce the cutting area of ​​the coal mining machine. If the preset maximum pressure is 40 MPa, but the change in geological conditions causes the actual pressure to approach this value many times, it may be necessary to re-evaluate the applicability of the support or take regional load reduction measures; In this embodiment, the preset efficiency coefficient of the hydraulic support is a parameter set according to the working efficiency of the hydraulic support under ideal conditions, which is used to reflect the proportional relationship between the ideal load-bearing capacity and the actual load-bearing capacity of the support. This coefficient combines 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, the preset efficiency coefficient of a hydraulic support is 0.9, which means that under normal operation, the actual load-bearing capacity of the hydraulic support is about 90% of the designed load-bearing capacity. If the current working environment is harsh (such as high roof pressure), the efficiency may be further reduced, and the planned mining volume needs to be adjusted according to the efficiency coefficient. In a coal mining face, the efficiency coefficient of the hydraulic support may gradually decrease from the initial 0.95 to 0.8 with the use time, which indicates that the equipment performance is gradually declining, and the planned mining volume needs to be reduced accordingly to ensure the safety of equipment and personnel.

[0047] The beneficial effects of the above technical solution are: by analyzing the state data of the hydraulic support (including state coefficient, current pressure and fault duration), the planned mining volume is dynamically determined in combination with the theoretical mining volume, thereby improving the accuracy of the mining plan. The comprehensive calculation of state data and equipment parameters can effectively respond to equipment state fluctuations and working condition changes, reduce mining deviations, improve production efficiency and safety, and optimize resource allocation to ensure the stability and efficiency of coal mine operations.

[0048] Embodiment 8: The embodiment of the present invention provides a method for determining coal mining volume based on a hydraulic support, which obtains the actual mining volume of coal, and then determines the mining deviation in combination with the planned mining volume of coal, including: Determine the mining deviation based on the actual mining volume of coal and the planned mining volume of coal:

[0049] in, For mining deviation, For the planned mining volume, is the actual mining volume, is the average working pressure of the hydraulic support during coal mining, The preset optimal working pressure for the hydraulic support. The failure time of hydraulic support, The preset working time of the hydraulic support. is the pressure correction weight, Correction weight for time.

[0050] In this embodiment, the preset optimal working pressure is the optimal pressure value set by the hydraulic support in the design or actual work to ensure safety, stability and efficiency. This pressure range can usually meet the needs of roof support, while avoiding performance degradation or failure of the equipment 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 monitoring pressure is 28 MPa, which is close to the optimal pressure, indicating that the equipment is in good operating condition and the support effect is ideal, which can ensure that the planned coal mining volume is close to the actual mining volume, and the mining deviation is small; under special geological conditions: if the optimal working pressure of the hydraulic support is set to 35 MPa, but due to the soft local roof rock layer, the actual pressure is only 25 MPa, which may lead to insufficient support effect, thereby reducing the actual mining volume and expanding the mining deviation. At this time, the pressure correction weight needs to be adjusted to compensate for this difference. In the case of excessively high pressure: when the optimal working pressure is 32 MPa, but the actual monitored support operating pressure reaches 40 MPa, which exceeds the optimal range, it may cause equipment overload or even damage, while accelerating the wear of the support and affecting subsequent mining efficiency. At this time, mining needs to be suspended and equipment and plans need to be readjusted.

[0051] The beneficial effects of the above technical solution are: by combining the actual mining volume with the planned mining volume, using data such as the average working pressure, optimal working pressure and fault duration of the hydraulic support to dynamically calculate the mining deviation, effectively correct the deviation caused by equipment status or environmental fluctuations, improve the accuracy of the mining plan, ensure the efficiency and safety of coal mining, and optimize resource utilization and production costs.

[0052] Embodiment 9: The embodiment of the present invention provides a method for determining coal mining volume based on hydraulic supports, a mining plan, including: mining volume plan, mining area distribution, equipment use plan, mining efficiency and cost optimization goals, data collection and monitoring requirements, and mining progress monitoring and reporting.

[0053] In this embodiment, the distribution of mining areas refers to dividing the mining area into different mining areas based on the geological conditions, resource reserves, coal seam thickness, roof stability and other factors of the coal mine, and determining the specific mining sequence and scope of each area. Reasonable distribution of mining areas can optimize resource utilization, avoid mining overlap or omissions, improve coal mining efficiency, and ensure the stability and safety of the mining area.

[0054] The beneficial effects of the above technical solution are: by formulating mining volume plans, rationally dividing mining areas, optimizing equipment use plans and mining efficiency, and combining cost optimization goals and data monitoring requirements, the 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 execution of mining plans through progress monitoring and reporting.

[0055] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions 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 support, characterized in that: include: Step 1: Obtain several key positions on the hydraulic support and the mine equipment, and install several preset types of sensors at each key position to collect the status data of the hydraulic support in real time during the working process; Step 2: Obtain coal mine geological data, and then build a coal mining volume prediction model in combination with the working status data of the hydraulic support; Step 3: Determine the planned coal mining volume based on the output results of the coal mining volume prediction model and the state data of the hydraulic support during the working process; Step 4: Obtain the actual mining volume of coal, and then determine the mining deviation in combination with the planned mining volume of coal, and analyze the mining deviation; Step 5: Generate a mining plan based on the analysis results of the mining deviation, and collect the status data of the hydraulic support implementing the mining plan in real time for analysis, so as to optimize the mining plan.

2. The method for determining coal mining volume based on hydraulic support according to claim 1, characterized in that: Obtain several key positions on the hydraulic support and mine equipment, and install several preset types of sensors at each key position to collect real-time status data of the hydraulic support during operation, including: Performing a first structural analysis on the hydraulic support, thereby determining a number of first key positions on the hydraulic support; Conduct a second structural analysis on the mine equipment, and then determine the second critical position on each mine equipment; Determine the type of each first key position and the second key position based on a preset key position database; Determine a preset sensor type corresponding to each type of key position based on a preset type-sensor type database, and then install a sensor of the corresponding preset type at each first key position and second key position; Based on all preset types of sensors, the status data of the hydraulic support during the working process is collected in real time.

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

4. The method for determining coal mining volume based on hydraulic support according to claim 1, characterized in that: Obtain coal mine geological data, and then build a coal mining volume prediction model based on the working status data of the hydraulic support, including: Acquire coal mine geological exploration data and perform a first analysis to determine first coal mine geological data; Based on the preset geological monitoring device, the geological data is monitored in real time, and then the geological data of the second coal mine is determined; The first coal mine geological data and the second coal mine geological data are fused based on a preset data fusion method, thereby obtaining the coal mine geological data; Match the real-time collected status data of hydraulic supports during operation with the coal mine geological data, and perform data fusion based on the matching results; A coal mining volume prediction model is constructed based on the fused data.

5. The method for determining coal mining volume based on hydraulic support according to claim 4, characterized in that: A coal mining volume prediction model is built based on the fused data, including: Perform the first feature extraction on the fused data, and then determine several key features; Perform second feature extraction on the fused data to determine several important indicators; Obtain and analyze historical data of coal mine production to obtain several historical production characteristics; Combine key features, important indicators and historical production features to generate composite features; A coal mining volume prediction model is constructed based on composite features and preset types of prediction models.

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

7. The method for determining coal mining volume based on hydraulic support according to claim 6, 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: Analyze the status data of the hydraulic support during operation, and then determine several status 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, is the current theoretical mining volume, is the i-th state coefficient of the hydraulic support, is the total number of state coefficients of the hydraulic support, is the current pressure of the hydraulic support, The preset maximum pressure of the hydraulic support. The failure time of hydraulic support, The preset working time of the hydraulic support. It is the efficiency coefficient of the preset hydraulic support.

8. The method for determining coal mining volume based on hydraulic support according to claim 1, characterized in that: The actual mining volume of coal is obtained, and then the mining deviation is determined in combination with the planned mining volume of coal, including: Determine the mining deviation based on the actual mining volume of coal and the planned mining volume of coal: in, For mining deviation, For the planned mining volume, is the actual mining volume, is the average working pressure of the hydraulic support during coal mining, The preset optimal working pressure for the hydraulic support. The failure time of hydraulic support, The preset working time of the hydraulic support. is the pressure correction weight, Correction weight for time.

9. The method for determining coal mining volume based on hydraulic support according to claim 1, characterized in that: Mining plan, including: mining volume plan, mining area distribution, equipment use plan, mining efficiency and cost optimization goals, data collection and monitoring requirements, and mining progress monitoring and reporting.

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